From 7f90d0ca342b928b479b512ec51ac2c3821f5922 Mon Sep 17 00:00:00 2001 From: twitter-team <> Date: Fri, 31 Mar 2023 12:53:53 -0500 Subject: [PATCH] Twitter's Recommendation Algorithm --- .gitignore | 2 + COPYING | 661 +++ README.md | 39 + ann/src/main/java/com/twitter/ann/faiss/BUILD | 15 + .../com/twitter/ann/faiss/NativeUtils.java | 151 + .../ann/faiss/swig/AlignedTableFloat32.java | 98 + .../ann/faiss/swig/AlignedTableUint16.java | 98 + .../ann/faiss/swig/AlignedTableUint8.java | 98 + .../ann/faiss/swig/ArrayInvertedLists.java | 86 + .../ann/faiss/swig/AutoTuneCriterion.java | 89 + .../java/com/twitter/ann/faiss/swig/BUILD | 26 + .../ann/faiss/swig/BitstringReader.java | 72 + .../ann/faiss/swig/BitstringWriter.java | 72 + .../twitter/ann/faiss/swig/BufferList.java | 80 + .../twitter/ann/faiss/swig/ByteVector.java | 76 + .../ann/faiss/swig/ByteVectorVector.java | 76 + .../ann/faiss/swig/CenteringTransform.java | 68 + .../twitter/ann/faiss/swig/CharVector.java | 75 + 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.../common/models/TrackingToken.scala | 62 + .../common/models/TweetCandidate.scala | 6 + .../models/UserCandidateSourceDetails.scala | 97 + .../common/models/UserIdAndTimestamp.scala | 3 + .../common/models/WtfImpression.scala | 12 + .../common/predicates/BUILD | 21 + .../predicates/CandidateParamPredicate.scala | 21 + .../CandidateSourceParamPredicate.scala | 31 + .../CuratedCompetitorListPredicate.scala | 66 + .../predicates/ExcludedUserIdPredicate.scala | 24 + .../common/predicates/InactivePredicate.scala | 121 + .../predicates/InactivePredicateParams.scala | 21 + ...reviouslyRecommendedUserIdsPredicate.scala | 34 + .../common/predicates/dismiss/BUILD | 17 + .../dismiss/DismissedCandidatePredicate.scala | 32 + .../DismissedCandidatePredicateParams.scala | 9 + .../common/predicates/gizmoduck/BUILD | 23 + .../gizmoduck/GizmoduckPredicate.scala | 284 ++ .../gizmoduck/GizmoduckPredicateCache.scala | 50 + .../GizmoduckPredicateFSConfig.scala | 17 + .../gizmoduck/GizmoduckPredicateParams.scala | 21 + .../common/predicates/health/BUILD | 21 + .../predicates/health/HssPredicate.scala | 95 + .../health/HssPredicateFSConfig.scala | 22 + .../health/HssPredicateParams.scala | 34 + .../common/predicates/sgs/BUILD | 19 + .../sgs/InvalidRelationshipPredicate.scala | 36 + .../sgs/RecentFollowingPredicate.scala | 33 + .../predicates/sgs/SgsPredicateFSConfig.scala | 16 + .../predicates/sgs/SgsPredicateParams.scala | 19 + .../SgsRelationshipsByUserIdPredicate.scala | 113 + .../sgs/SgsRelationshipsPredicate.scala | 146 + .../common/predicates/user_activity/BUILD | 20 + .../user_activity/UserActivityPredicate.scala | 161 + .../UserActivityPredicateParams.scala | 10 + .../common/AdhocScoreModificationType.scala | 20 + .../common/rankers/common/BUILD | 10 + .../rankers/common/DedupCandidates.scala | 11 + .../common/rankers/common/RankerId.scala | 27 + .../common/rankers/fatigue_ranker/BUILD | 13 + .../ImpressionBasedFatigueRanker.scala | 141 + ...ImpressionBasedFatigueRankerFSConfig.scala | 12 + .../ImpressionBasedFatigueRankerParams.scala | 14 + .../common/rankers/first_n_ranker/BUILD | 20 + .../rankers/first_n_ranker/FirstNRanker.scala | 115 + .../first_n_ranker/FirstNRankerFSConfig.scala | 21 + .../FirstNRankerFeatureSwitchKeys.scala | 8 + .../first_n_ranker/FirstNRankerParams.scala | 26 + .../common/rankers/interleave_ranker/BUILD | 21 + .../interleave_ranker/InterleaveRanker.scala | 204 + .../InterleaveRankerFSConfig.scala | 12 + .../InterleaveRankerParams.scala | 8 + .../common/rankers/ml_ranker/ranking/BUILD | 37 + .../ranking/HydrateFeaturesTransform.scala | 57 + .../rankers/ml_ranker/ranking/MlRanker.scala | 219 + .../ml_ranker/ranking/MlRankerFSConfig.scala | 12 + .../ml_ranker/ranking/MlRankerParams.scala | 30 + .../ml_ranker/scoring/AdhocScorer.scala | 28 + .../common/rankers/ml_ranker/scoring/BUILD | 23 + .../ml_ranker/scoring/DeepbirdScorer.scala | 151 + .../scoring/PostnuxDeepbirdProdScorer.scala | 34 + .../ml_ranker/scoring/RandomScorer.scala | 42 + .../rankers/ml_ranker/scoring/Scorer.scala | 34 + .../ml_ranker/scoring/ScorerFactory.scala | 38 + .../common/rankers/utils/BUILD | 8 + .../common/rankers/utils/Utils.scala | 28 + .../weighted_candidate_source_ranker/BUILD | 20 + .../CandidateShuffle.scala | 36 + .../WeightMethod.scala | 6 + .../WeightedCandidateSourceBaseRanker.scala | 118 + .../WeightedCandidateSourceRanker.scala | 100 + ...eightedCandidateSourceRankerFSConfig.scala | 13 + .../WeightedCandidateSourceRankerParams.scala | 8 + .../common/stores/BUILD | 19 + .../stores/LowTweepCredFollowStore.scala | 39 + .../common/transforms/dedup/BUILD | 8 + .../transforms/dedup/DedupTransform.scala | 14 + .../transforms/modify_social_proof/BUILD | 22 + .../ModifySocialProofTransform.scala | 202 + .../RemoveAccountProofTransform.scala | 27 + .../common/transforms/ranker_id/BUILD | 19 + .../ranker_id/RandomRankerIdTransform.scala | 24 + ...ecommendationFlowIdentifierTransform.scala | 20 + .../recommendation_flow_identifier/BUILD | 9 + .../common/transforms/tracking_token/BUILD | 18 + .../TrackingTokenTransform.scala | 76 + .../common/transforms/weighted_sampling/BUILD | 10 + .../weighted_sampling/SamplingTransform.scala | 138 + .../SamplingTransformFSConfig.scala | 19 + .../SamplingTransformParams.scala | 25 + .../follow_recommendations/common/utils/BUILD | 13 + .../common/utils/CollectionUtil.scala | 22 + .../DisplayLocationProductConverterUtil.scala | 27 + .../common/utils/MergeUtil.scala | 51 + .../common/utils/RandomUtil.scala | 88 + .../common/utils/RescueWithStatsUtils.scala | 50 + .../common/utils/UserSignupUtil.scala | 14 + .../common/utils/Weighted.scala | 21 + .../server/src/main/resources/BUILD | 20 + .../src/main/resources/config/decider.yml | 129 + .../server/src/main/resources/logback.xml | 133 + .../quality/stp_models/20141223/epModel | 8 + .../stp_models/20141223/trainingConfig | 1 + .../com/twitter/follow_recommendations/BUILD | 48 + ...owRecommendationsServiceThriftServer.scala | 118 + .../assembler/models/Action.scala | 9 + .../assembler/models/BUILD | 12 + .../assembler/models/Config.scala | 8 + .../assembler/models/FeedbackAction.scala | 13 + .../assembler/models/Footer.scala | 9 + .../assembler/models/Header.scala | 9 + .../assembler/models/Layout.scala | 16 + .../models/RecommendationOptions.scala | 11 + .../assembler/models/SocialProof.scala | 16 + .../assembler/models/Title.scala | 9 + .../assembler/models/WTFPresentation.scala | 47 + .../follow_recommendations/blenders/BUILD | 16 + .../blenders/PromotedAccountsBlender.scala | 138 + .../follow_recommendations/configapi/BUILD | 28 + .../configapi/ConfigBuilder.scala | 16 + .../configapi/DeciderConfigs.scala | 52 + .../configapi/FeatureSwitchConfigs.scala | 138 + .../configapi/GlobalFeatureSwitchConfig.scala | 49 + .../configapi/ParamsFactory.scala | 29 + .../configapi/RequestContext.scala | 19 + .../configapi/RequestContextFactory.scala | 74 + .../configapi/candidates/BUILD | 18 + .../candidates/CandidateUserContext.scala | 19 + .../CandidateUserContextFactory.scala | 55 + .../CandidateUserParamsFactory.scala | 35 + .../HydrateCandidateParamsTransform.scala | 21 + .../configapi/common/BUILD | 8 + .../common/FeatureSwitchConfig.scala | 60 + .../configapi/deciders/BUILD | 10 + .../configapi/deciders/DeciderKey.scala | 51 + .../configapi/deciders/DeciderParams.scala | 8 + .../configapi/params/BUILD | 13 + .../configapi/params/GlobalParams.scala | 35 + .../follow_recommendations/controllers/BUILD | 29 + .../CandidateUserDebugParamsBuilder.scala | 25 + .../RecommendationRequestBuilder.scala | 41 + .../RequestBuilderUserFetcher.scala | 48 + .../ScoringUserRequestBuilder.scala | 53 + .../controllers/ThriftController.scala | 41 + .../follow_recommendations/flows/ads/BUILD | 19 + .../flows/ads/PromotedAccountsFlow.scala | 112 + .../ads/PromotedAccountsFlowParams.scala | 19 + .../ads/PromotedAccountsFlowRequest.scala | 33 + .../flows/ads/PromotedAccountsUtil.scala | 28 + .../flows/content_recommender_flow/BUILD | 32 + .../ContentRecommenderFlow.scala | 202 + ...commenderFlowCandidateSourceRegistry.scala | 78 + ...ecommenderFlowCandidateSourceWeights.scala | 71 + ...nderFlowCandidateSourceWeightsParams.scala | 117 + .../ContentRecommenderFlowFSConfig.scala | 60 + ...tentRecommenderFlowFeatureSwitchKeys.scala | 70 + .../ContentRecommenderParams.scala | 85 + .../ContentRecommenderRequest.scala | 45 + .../ContentRecommenderRequestBuilder.scala | 121 + .../flows/post_nux_ml/BUILD | 58 + .../PostNuxMlCandidateSourceRegistry.scala | 103 + ...PostNuxMlCandidateSourceWeightParams.scala | 177 + .../PostNuxMlCombinedRankerBuilder.scala | 193 + .../flows/post_nux_ml/PostNuxMlFlow.scala | 304 ++ .../PostNuxMlFlowCandidateSourceWeights.scala | 68 + ...didateSourceWeightsFeatureSwitchKeys.scala | 46 + .../post_nux_ml/PostNuxMlFlowFSConfig.scala | 80 + .../PostNuxMlFlowFeatureSwitchKeys.scala | 27 + .../flows/post_nux_ml/PostNuxMlParams.scala | 133 + .../flows/post_nux_ml/PostNuxMlRequest.scala | 54 + .../post_nux_ml/PostNuxMlRequestBuilder.scala | 173 + .../PostNuxMlRequestBuilderParams.scala | 45 + .../follow_recommendations/logging/BUILD | 18 + .../logging/FrsLogger.scala | 164 + .../follow_recommendations/models/BUILD | 13 + .../models/CandidateSourceType.scala | 9 + .../models/CandidateUserDebugParams.scala | 5 + .../models/DebugParams.scala | 28 + .../models/DisplayContext.scala | 113 + .../models/FeatureValue.scala | 24 + .../models/RecommendationFlowData.scala | 104 + .../models/RecommendationRequest.scala | 29 + .../models/RecommendationResponse.scala | 14 + .../models/Request.scala | 22 + .../models/ScoringUserRequest.scala | 45 + .../models/ScoringUserResponse.scala | 15 + .../models/failures/BUILD | 8 + .../failures/TimeoutPipelineFailure.scala | 12 + .../modules/ABDeciderModule.scala | 31 + .../follow_recommendations/modules/BUILD | 24 + .../modules/ConfigApiModule.scala | 20 + .../modules/DiffyModule.scala | 71 + .../modules/FeatureSwitchesModule.scala | 85 + .../modules/FlagsModule.scala | 18 + .../modules/ProductRegistryModule.scala | 12 + .../modules/ScorerModule.scala | 40 + .../modules/ScribeModule.scala | 95 + .../modules/TimerModule.scala | 13 + .../follow_recommendations/products/BUILD | 16 + .../products/ProdProductRegistry.scala | 44 + .../products/common/BUILD | 12 + .../products/common/Exceptions.scala | 7 + .../products/common/Product.scala | 56 + .../products/common/ProductRegistry.scala | 9 + .../products/explore_tab/BUILD | 14 + .../explore_tab/ExploreTabProduct.scala | 50 + .../products/explore_tab/configapi/BUILD | 9 + .../configapi/ExploreTabFSConfig.scala | 14 + .../configapi/ExploreTabParams.scala | 10 + .../products/home_timeline/BUILD | 14 + .../home_timeline/HTLProductMixer.scala | 9 + .../home_timeline/HomeTimelineProduct.scala | 114 + .../home_timeline/HomeTimelineStrings.scala | 26 + .../products/home_timeline/configapi/BUILD | 9 + .../configapi/HomeTimelineFSConfig.scala | 22 + .../configapi/HomeTimelineParams.scala | 38 + .../products/home_timeline_tweet_recs/BUILD | 13 + .../HomeTimelineTweetRecsProduct.scala | 50 + .../home_timeline_tweet_recs/configapi/BUILD | 10 + .../HomeTimelineTweetRecsParams.scala | 7 + .../products/sidebar/BUILD | 14 + .../products/sidebar/SidebarProduct.scala | 73 + .../products/sidebar/configapi/BUILD | 8 + .../sidebar/configapi/SidebarParams.scala | 9 + .../follow_recommendations/services/BUILD | 34 + ...wRecommendationsServiceWarmupHandler.scala | 105 + .../ProductMixerRecommendationService.scala | 72 + .../services/ProductPipelineSelector.scala | 188 + .../ProductPipelineSelectorConfig.scala | 19 + .../services/ProductRecommenderService.scala | 72 + .../services/RecommendationsService.scala | 28 + .../services/UserScoringService.scala | 84 + .../services/exceptions/BUILD | 14 + .../exceptions/UnknownExceptionMapper.scala | 18 + .../follow_recommendations/utils/BUILD | 29 + .../utils/CandidateSourceHoldbackUtil.scala | 82 + ...ecommendationFlowBaseSideEffectsUtil.scala | 121 + .../thrift/src/main/thrift/BUILD | 21 + .../thrift/src/main/thrift/assembler.thrift | 42 + .../src/main/thrift/client_context.thrift | 19 + .../thrift/src/main/thrift/debug.thrift | 73 + .../src/main/thrift/display_context.thrift | 62 + .../src/main/thrift/display_location.thrift | 55 + .../src/main/thrift/engagementType.thrift | 11 + .../thrift/src/main/thrift/flows.thrift | 20 + .../follow-recommendations-service.thrift | 100 + ...low_recommendations_serving_history.thrift | 9 + .../thrift/src/main/thrift/logging/BUILD | 18 + .../main/thrift/logging/client_context.thrift | 14 + .../src/main/thrift/logging/debug.thrift | 8 + .../thrift/logging/display_context.thrift | 66 + .../thrift/logging/display_location.thrift | 55 + .../main/thrift/logging/engagementType.thrift | 11 + .../src/main/thrift/logging/flows.thrift | 16 + .../src/main/thrift/logging/logs.thrift | 72 + .../src/main/thrift/logging/reasons.thrift | 62 + .../logging/recently_engaged_user_id.thrift | 10 + .../thrift/logging/recommendations.thrift | 26 + .../src/main/thrift/logging/scoring.thrift | 38 + .../src/main/thrift/logging/tracking.thrift | 16 + .../thrift/src/main/thrift/reasons.thrift | 61 + .../thrift/recently_engaged_user_id.thrift | 10 + .../src/main/thrift/recommendations.thrift | 40 + .../thrift/src/main/thrift/scoring.thrift | 49 + .../thrift/src/main/thrift/tracking.thrift | 17 + graph-feature-service/BUILD.bazel | 67 + graph-feature-service/README.md | 3 + graph-feature-service/doc/common.md | 62 + graph-feature-service/doc/getintersection.md | 43 + .../graph_feature_service/common/BUILD.bazel | 8 + .../common/Configs.scala | 73 + .../graph_feature_service/server/BUILD.bazel | 35 + .../graph_feature_service/server/Main.scala | 56 + .../server/controllers/ServerController.scala | 46 + .../ServerGetIntersectionHandler.scala | 198 + .../server/handlers/ServerWarmupHandler.scala | 47 + .../modules/GetIntersectionStoreModule.scala | 91 + ...aphFeatureServiceWorkerClientsModule.scala | 51 + .../server/modules/LZ4Injection.scala | 17 + .../server/modules/ServerFlagModule.scala | 31 + .../server/stores/FeatureTypesEncoder.scala | 16 + .../server/stores/GetIntersectionStore.scala | 181 + .../twitter/graph_feature_service/util/BUILD | 7 + .../util/FeatureTypesCalculator.scala | 58 + .../util/IntersectionValueCalculator.scala | 242 ++ .../graph_feature_service/worker/BUILD.bazel | 30 + .../graph_feature_service/worker/Main.scala | 58 + .../worker/controllers/WorkerController.scala | 38 + .../WorkerGetIntersectionHandler.scala | 105 + .../worker/handlers/WorkerWarmupHandler.scala | 14 + .../GraphContainerProviderModule.scala | 62 + .../worker/modules/WorkerFlagModule.scala | 33 + .../worker/util/AutoUpdatingGraph.scala | 69 + .../worker/util/GfsQuery.scala | 14 + .../worker/util/GraphContainer.scala | 19 + .../worker/util/GraphKey.scala | 32 + .../worker/util/GraphType.scala | 16 + .../scalding/BUILD.bazel | 66 + .../scalding/EdgeFeature.scala | 9 + .../scalding/GraphFeatureServiceAppBase.scala | 85 + .../scalding/GraphFeatureServiceApps.scala | 52 + .../scalding/GraphFeatureServiceMainJob.scala | 297 ++ .../scalding/adhoc/BUILD.bazel | 27 + .../adhoc/RandomRequestGenerationApp.scala | 77 + .../com/twitter/graph_feature_service/BUILD | 15 + .../graph_feature_service.thrift | 123 + home-mixer/BUILD.bazel | 30 + home-mixer/README.md | 102 + .../scala/com/twitter/home_mixer/BUILD.bazel | 46 + .../HomeMixerHttpServerWarmupHandler.scala | 18 + .../twitter/home_mixer/HomeMixerServer.scala | 118 + .../HomeMixerThriftServerWarmupHandler.scala | 73 + .../home_mixer/candidate_pipeline/BUILD.bazel | 36 + ...sationServiceCandidatePipelineConfig.scala | 107 + ...erviceCandidatePipelineConfigBuilder.scala | 34 + ...ionServiceResponseFeatureTransformer.scala | 39 + .../EditedTweetsCandidatePipelineConfig.scala | 84 + ...NewTweetsPillCandidatePipelineConfig.scala | 123 + ...ineServiceResponseFeatureTransformer.scala | 34 + .../twitter/home_mixer/controller/BUILD.bazel | 20 + .../controller/HomeThriftController.scala | 50 + .../candidate_source/BUILD.bazel | 22 + .../EarlybirdCandidateSource.scala | 44 + .../SimilarityBasedUsersCandidateSource.scala | 34 + .../StaleTweetsCacheCandidateSource.scala | 30 + .../AuthorChildFeedbackActionBuilder.scala | 34 + .../decorator/BUILD.bazel | 32 + .../BlockUserChildFeedbackActionBuilder.scala | 54 + .../DontLikeFeedbackActionBuilder.scala | 88 + .../EngagerSocialContextBuilder.scala | 119 + .../ExtendedReplySocialContextBuilder.scala | 78 + .../decorator/FeedbackUtil.scala | 61 + .../FollowedBySocialContextBuilder.scala | 53 + .../HomeAdsClientEventDetailsBuilder.scala | 46 + .../HomeClientEventDetailsBuilder.scala | 92 + ...onversationServiceCandidateDecorator.scala | 49 + .../HomeFeedbackActionInfoBuilder.scala | 54 + .../decorator/HomeQueryTypePredicates.scala | 18 + .../HomeTimelinesScoreInfoBuilder.scala | 26 + .../HomeTweetSocialContextBuilder.scala | 44 + .../decorator/HomeTweetTypePredicates.scala | 250 ++ .../LikedBySocialContextBuilder.scala | 54 + ...onversationServiceCandidateDecorator.scala | 47 + .../MuteUserChildFeedbackActionBuilder.scala | 55 + ...InterestedTopicFeedbackActionBuilder.scala | 71 + ...otRelevantChildFeedbackActionBuilder.scala | 55 + .../ReceivedReplySocialContextBuilder.scala | 76 + ...eportTweetChildFeedbackActionBuilder.scala | 38 + .../RetweeterChildFeedbackActionBuilder.scala | 39 + .../decorator/TopicSocialContextBuilder.scala | 42 + ...followUserChildFeedbackActionBuilder.scala | 57 + .../YouMightLikeSocialContextBuilder.scala | 50 + .../decorator/builder/BUILD.bazel | 23 + .../builder/HomeClientEventInfoBuilder.scala | 44 + ...omeConversationModuleMetadataBuilder.scala | 30 + .../ListClientEventDetailsBuilder.scala | 33 + ...wAlertAndShowCoverInstructionBuilder.scala | 30 + .../decorator/urt/builder/BUILD.bazel | 12 + ...WhoToFollowFeedbackActionInfoBuilder.scala | 51 + .../AncestorFeatureHydrator.scala | 56 + .../AuthorFeatureHydrator.scala | 95 + .../feature_hydrator/BUILD.bazel | 103 + .../DismissInfoQueryFeatureHydrator.scala | 45 + .../EarlybirdFeatureHydrator.scala | 129 + .../FeedbackHistoryQueryFeatureHydrator.scala | 38 + .../FocalTweetFeatureHydrator.scala | 84 + .../FollowedTopicsQueryFeatureHydrator.scala | 41 + ...GizmoduckAuthorSafetyFeatureHydrator.scala | 58 + .../GizmoduckUserQueryFeatureHydrator.scala | 50 + .../GraphTwoHopFeatureHydrator.scala | 105 + ...ssionBloomFilterQueryFeatureHydrator.scala | 57 + ...stNonPollingTimeQueryFeatureHydrator.scala | 68 + .../ListMembersQueryFeatureHydrator.scala | 42 + ...ricCenterUserCountingFeatureHydrator.scala | 81 + .../NamesFeatureHydrator.scala | 97 + ...PersistenceStoreQueryFeatureHydrator.scala | 95 + ...FilteredSocialContextFeatureHydrator.scala | 71 + ...hInNetworkScoresQueryFeatureHydrator.scala | 42 + .../RealGraphQueryFeatureHydrator.scala | 48 + ...RealGraphViewerAuthorFeatureHydrator.scala | 123 + ...aphViewerRelatedUsersFeatureHydrator.scala | 74 + ...eInteractionGraphEdgeFeatureHydrator.scala | 64 + ...nGraphUserVertexQueryFeatureHydrator.scala | 49 + .../ReplyFeatureHydrator.scala | 196 + .../RequestQueryFeatureHydrator.scala | 128 + .../RetweetSourceTweetFeatureHydrator.scala | 76 + ...SGSFollowedUsersQueryFeatureHydrator.scala | 46 + ...SGSValidSocialContextFeatureHydrator.scala | 105 + ...sEngagementSimilarityFeatureHydrator.scala | 83 + .../SocialGraphServiceFeatureHydrator.scala | 67 + .../TSPInferredTopicFeatureHydrator.scala | 162 + .../TimeFeaturesHydrator.scala | 251 ++ ...ineServiceTweetsQueryFeatureHydrator.scala | 63 + ...TweetImpressionsQueryFeatureHydrator.scala | 87 + .../TweetMetaDataFeatureHydrator.scala | 66 + .../TweetypieContentFeatureHydrator.scala | 149 + .../TweetypieFeatureHydrator.scala | 156 + ...eetypieStaticEntitiesFeatureHydrator.scala | 161 + ...nAuthorFollow20220101FeatureHydrator.scala | 96 + ...inUserEngagementQueryFeatureHydrator.scala | 80 + .../TwhinUserFollowQueryFeatureHydrator.scala | 80 + .../UserFollowedTopicIdsFeatureHydrator.scala | 84 + .../UserLanguagesFeatureHydrator.scala | 35 + .../UserStateQueryFeatureHydrator.scala | 54 + .../UtegFeatureHydrator.scala | 88 + .../AuthorFeaturesAdapter.scala | 59 + .../adapters/author_features/BUILD.bazel | 17 + .../adapters/content/BUILD.bazel | 17 + .../content/ContentFeatureAdapter.scala | 260 ++ .../adapters/earlybird/BUILD.bazel | 19 + .../adapters/earlybird/EarlybirdAdapter.scala | 453 ++ .../adapters/inferred_topic/BUILD.bazel | 13 + .../inferred_topic/InferredTopicAdapter.scala | 25 + .../adapters/non_ml_features/BUILD.bazel | 15 + .../NonMLCandidateFeaturesAdapter.scala | 44 + .../NonMLCommonFeaturesAdapter.scala | 48 + .../adapters/offline_aggregates/BUILD.bazel | 13 + .../PassThroughAdapter.scala | 12 + .../SparseAggregatesToDenseAdapter.scala | 17 + .../adapters/twhin_embeddings/BUILD.bazel | 16 + .../TwhinEmbeddingsAdapter.scala | 81 + .../AggregateFeatureInfo.scala | 37 + ...ggregateFeaturesToDecodeWithMetadata.scala | 68 + .../offline_aggregates/BUILD.bazel | 38 + .../BaseAggregateQueryFeatureHydrator.scala | 76 + .../BaseEdgeAggregateFeatureHydrator.scala | 93 + .../EdgeAggregateFeatures.scala | 107 + .../PartAAggregateQueryFeatureHydrator.scala | 35 + .../PartBAggregateQueryFeatureHydrator.scala | 144 + .../Phase1EdgeAggregateFeatureHydrator.scala | 20 + .../Phase2EdgeAggregateFeatureHydrator.scala | 22 + .../offline_aggregates/Utils.scala | 36 + .../real_time_aggregates/BUILD.bazel | 25 + ...ggregateBulkCandidateFeatureHydrator.scala | 41 + ...ealTimeAggregateQueryFeatureHydrator.scala | 35 + .../BaseRealtimeAggregateHydrator.scala | 154 + ...thorRealTimeAggregateFeatureHydrator.scala | 52 + .../RealTimeAggregateTimeDecay.scala | 50 + ...mentRealTimeAggregateFeatureHydrator.scala | 64 + ...mentRealTimeAggregateFeatureHydrator.scala | 53 + ...mentRealTimeAggregateFeatureHydrator.scala | 55 + ...mentRealTimeAggregateFeatureHydrator.scala | 49 + ...mentRealTimeAggregateFeatureHydrator.scala | 57 + ...mentRealTimeAggregateFeatureHydrator.scala | 61 + ...entRealTimeAggregatesFeatureHydrator.scala | 56 + .../functional_component/filter/BUILD.bazel | 26 + .../filter/DropMaxCandidatesFilter.scala | 27 + .../filter/FeedbackFatigueFilter.scala | 89 + .../InvalidConversationModuleFilter.scala | 50 + ...BestOutOfNetworkTweetPerAuthorFilter.scala | 36 + .../filter/OutOfNetworkCompetitorFilter.scala | 38 + .../OutOfNetworkCompetitorURLFilter.scala | 37 + .../filter/PredicateFeatureFilter.scala | 59 + .../filter/PredicateGatedFilter.scala | 47 + .../filter/PreviouslySeenTweetsFilter.scala | 37 + .../PreviouslyServedAncestorsFilter.scala | 44 + .../filter/PreviouslyServedTweetsFilter.scala | 42 + .../filter/RejectTweetFromViewerFilter.scala | 24 + .../filter/RetweetDeduplicationFilter.scala | 45 + .../RetweetSourceTweetRemovingFilter.scala | 40 + .../filter/SocialContextFilter.scala | 57 + .../functional_component/gate/BUILD.bazel | 21 + .../gate/DismissFatigueGate.scala | 48 + .../gate/ExcludeSoftUserGate.scala | 23 + .../gate/MinCachedTweetsGate.scala | 34 + .../gate/NonEmptySeqFeatureGate.scala | 18 + .../gate/RequestContextGate.scala | 22 + .../gate/RequestContextNotGate.scala | 24 + .../gate/SupportedLanguagesGate.scala | 68 + ...nesPersistenceStoreLastInjectionGate.scala | 51 + .../gate/ViewerIsListOwnerGate.scala | 29 + .../query_transformer/BUILD.bazel | 13 + ...etsCandidatePipelineQueryTransformer.scala | 85 + .../functional_component/scorer/BUILD.bazel | 17 + .../scorer/FeedbackFatigueScorer.scala | 130 + .../scorer/OONTweetScalingScorer.scala | 48 + .../scorer/VerifiedAuthorScalingScorer.scala | 61 + .../functional_component/selector/BUILD.bazel | 24 + .../selector/DebunchCandidates.scala | 83 + .../selector/UpdateConversationModuleId.scala | 40 + .../UpdateHomeClientEventDetails.scala | 137 + .../UpdateNewTweetsPillDecoration.scala | 80 + .../side_effect/BUILD.bazel | 49 + .../side_effect/ClientEventsBuilder.scala | 177 + .../HomeScribeClientEventSideEffect.scala | 58 + .../HomeScribeServedEntriesSideEffect.scala | 212 + ...entSentImpressionsEventBusSideEffect.scala | 92 + ...ntSentImpressionsManhattanSideEffect.scala | 65 + ...dCandidateFeatureKeysKafkaSideEffect.scala | 112 + ...ateFeatureKeysKafkaSideEffectBuilder.scala | 20 + .../ServedCandidateKafkaSideEffect.scala | 50 + .../ServedCandidateKeysKafkaSideEffect.scala | 111 + ...dCandidateKeysKafkaSideEffectBuilder.scala | 20 + .../side_effect/ServedStatsSideEffect.scala | 80 + ...eTimelinesPersistenceStoreSideEffect.scala | 68 + ...pdateImpressionBloomFilterSideEffect.scala | 60 + .../UpdateLastNonPollingTimeSideEffect.scala | 78 + ...eTimelinesPersistenceStoreSideEffect.scala | 243 ++ .../home_mixer/marshaller/request/BUILD.bazel | 20 + .../request/DeviceContextUnmarshaller.scala | 19 + .../HomeMixerDebugParamsUnmarshaller.scala | 27 + .../HomeMixerProductContextUnmarshaller.scala | 54 + .../HomeMixerProductUnmarshaller.scala | 28 + .../HomeMixerRequestUnmarshaller.scala | 30 + .../marshaller/timeline_logging/BUILD.bazel | 13 + .../ConversationEntryMarshaller.scala | 16 + .../PromotedTweetEntryMarshaller.scala | 17 + .../TweetEntryMarshaller.scala | 29 + .../WhoToFollowEntryMarshaller.scala | 19 + .../marshaller/timelines/BUILD.bazel | 16 + .../ChronologicalCursorMarshaller.scala | 20 + .../ChronologicalCursorUnmarshaller.scala | 26 + .../timelines/DeviceContextMarshaller.scala | 34 + .../RecommendedUsersCursorUnmarshaller.scala | 20 + .../TimelineServiceCursorMarshaller.scala | 21 + ...ContextFunctionalityTypeUnmarshaller.scala | 22 + .../com/twitter/home_mixer/model/BUILD.bazel | 49 + .../model/ClearCacheIncludeInstruction.scala | 43 + .../home_mixer/model/ContentFeatures.scala | 96 + .../model/GapIncludeInstruction.scala | 63 + .../home_mixer/model/HomeAdsQuery.scala | 42 + .../home_mixer/model/HomeFeatures.scala | 266 ++ .../home_mixer/model/request/BUILD.bazel | 16 + .../model/request/DeviceContext.scala | 74 + .../home_mixer/model/request/HasListId.scala | 8 + .../model/request/HasSeenTweetIds.scala | 9 + .../model/request/HomeMixerDebugOptions.scala | 8 + .../model/request/HomeMixerProduct.scala | 35 + .../request/HomeMixerProductContext.scala | 34 + .../model/request/HomeMixerRequest.scala | 19 + ...rtiserBrandSafetySettingsStoreModule.scala | 56 + .../com/twitter/home_mixer/module/BUILD.bazel | 87 + ...ClientSentImpressionsPublisherModule.scala | 48 + .../module/ConversationServiceModule.scala | 37 + .../module/FeedbackHistoryClientModule.scala | 39 + .../module/HomeAdsCandidateSourceModule.scala | 32 + .../module/HomeMixerFlagsModule.scala | 53 + .../module/HomeMixerResourcesModule.scala | 18 + .../module/HomeNaviModelClientModule.scala | 52 + .../module/ImpressionBloomFilterModule.scala | 54 + .../module/InjectionHistoryClientModule.scala | 88 + .../module/ManhattanClientsModule.scala | 56 + .../ManhattanFeatureRepositoryModule.scala | 453 ++ .../ManhattanTweetImpressionStoreModule.scala | 52 + .../MemcachedFeatureRepositoryModule.scala | 113 + .../module/OptimizedStratoClientModule.scala | 46 + .../module/PeopleDiscoveryServiceModule.scala | 35 + .../PipelineFailureExceptionMapper.scala | 29 + .../RealGraphInNetworkScoresModule.scala | 26 + ...timeAggregateFeatureRepositoryModule.scala | 253 ++ .../module/ScoredTweetsMemcacheModule.scala | 65 + .../module/ScribeEventPublisherModule.scala | 125 + ...lustersRecentEngagementsClientModule.scala | 23 + .../module/StaleTweetsCacheModule.scala | 37 + .../ThriftFeatureRepositoryModule.scala | 375 ++ ...imelinesPersistenceStoreClientModule.scala | 43 + .../module/TweetyPieClientModule.scala | 51 + ...typieStaticEntitiesCacheClientModule.scala | 69 + .../module/UserMetadataStoreModule.scala | 26 + .../com/twitter/home_mixer/param/BUILD.bazel | 9 + .../param/GlobalParamConfigModule.scala | 10 + .../param/HomeGlobalParamConfig.scala | 40 + .../home_mixer/param/HomeGlobalParams.scala | 110 + .../home_mixer/param/HomeMixerFlagName.scala | 12 + .../param/HomeMixerInjectionNames.scala | 50 + .../home_mixer/param/decider/BUILD.bazel | 10 + .../home_mixer/param/decider/DeciderKey.scala | 40 + .../twitter/home_mixer/product/BUILD.bazel | 26 + .../product/HomeMixerProductModule.scala | 11 + .../HomeProductPipelineRegistryConfig.scala | 54 + .../home_mixer/product/following/BUILD.bazel | 95 + ...FollowingAdsCandidatePipelineBuilder.scala | 102 + ...wingEarlybirdCandidatePipelineConfig.scala | 54 + .../FollowingEarlybirdQueryTransformer.scala | 84 + ...gEarlybirdResponseFeatureTransformer.scala | 38 + .../FollowingMixerPipelineConfig.scala | 278 ++ .../FollowingProductPipelineConfig.scala | 131 + ...lowArmCandidatePipelineConfigBuilder.scala | 65 + .../product/following/model/BUILD.bazel | 22 + .../following/model/FollowingQuery.scala | 50 + .../model/HomeMixerExternalStrings.scala | 66 + .../product/following/param/BUILD.bazel | 14 + .../following/param/FollowingParam.scala | 85 + .../param/FollowingParamConfig.scala | 34 + .../home_mixer/product/for_you/BUILD.bazel | 87 + .../ForYouAdsCandidatePipelineBuilder.scala | 94 + ...sationServiceCandidatePipelineConfig.scala | 135 + .../for_you/ForYouProductPipelineConfig.scala | 135 + ...uScoredTweetsCandidatePipelineConfig.scala | 166 + ...orYouScoredTweetsMixerPipelineConfig.scala | 317 ++ ...oredTweetsResponseFeatureTransformer.scala | 78 + ...imelineScorerCandidatePipelineConfig.scala | 237 ++ ...YouTimelineScorerMixerPipelineConfig.scala | 336 ++ ...lineScorerResponseFeatureTransformer.scala | 189 + ...FollowCandidatePipelineConfigBuilder.scala | 59 + .../for_you/candidate_source/BUILD.bazel | 25 + .../ScoredTweetsProductCandidateSource.scala | 154 + .../product/for_you/model/BUILD.bazel | 21 + .../product/for_you/model/ForYouQuery.scala | 50 + .../for_you/model/ForYouTweetsResponse.scala | 5 + .../product/for_you/param/BUILD.bazel | 14 + .../product/for_you/param/ForYouParam.scala | 117 + .../for_you/param/ForYouParamConfig.scala | 43 + .../list_recommended_users/BUILD.bazel | 49 + ...berBasedUsersCandidatePipelineConfig.scala | 89 + ...BasedUsersResponseFeatureTransfromer.scala | 21 + ...tRecommendedUsersMixerPipelineConfig.scala | 100 + ...ecommendedUsersProductPipelineConfig.scala | 79 + .../feature_hydrator/BUILD.bazel | 16 + .../GizmoduckUserFeatureHydrator.scala | 59 + .../IsListMemberFeatureHydrator.scala | 53 + .../list_recommended_users/filter/BUILD.bazel | 13 + .../DropMaxCandidatesByScoreFilter.scala | 29 + .../filter/PreviouslyServedUsersFilter.scala | 35 + .../list_recommended_users/model/BUILD.bazel | 16 + .../model/ListFeatures.scala | 12 + .../model/ListRecommendedUsersQuery.scala | 30 + .../list_recommended_users/param/BUILD.bazel | 12 + .../param/ListRecommendedUsersParam.scala | 23 + .../ListRecommendedUsersParamConfig.scala | 22 + .../product/list_tweets/BUILD.bazel | 59 + ...istTweetsAdsCandidatePipelineBuilder.scala | 93 + .../ListTweetsMixerPipelineConfig.scala | 155 + .../ListTweetsProductPipelineConfig.scala | 94 + ...melineServiceCandidatePipelineConfig.scala | 54 + .../product/list_tweets/model/BUILD.bazel | 19 + .../list_tweets/model/ListTweetsQuery.scala | 38 + .../product/list_tweets/param/BUILD.bazel | 12 + .../list_tweets/param/ListTweetsParam.scala | 22 + .../param/ListTweetsParamConfig.scala | 23 + .../product/scored_tweets/BUILD.bazel | 57 + .../ScoredTweetsProductPipelineConfig.scala | 72 + ...edTweetsRecommendationPipelineConfig.scala | 254 ++ .../candidate_pipeline/BUILD.bazel | 41 + ...dScoredTweetsCandidatePipelineConfig.scala | 53 + ...TweetsCrMixerCandidatePipelineConfig.scala | 98 + ...oredTweetsFrsCandidatePipelineConfig.scala | 67 + ...eetsInNetworkCandidatePipelineConfig.scala | 82 + ...redTweetsUtegCandidatePipelineConfig.scala | 63 + .../candidate_source/BUILD.bazel | 12 + .../CachedScoredTweetsCandidateSource.scala | 24 + .../feature_hydrator/BUILD.bazel | 29 + ...chedScoredTweetsQueryFeatureHydrator.scala | 51 + .../scored_tweets/marshaller/BUILD.bazel | 19 + ...ScoredTweetsResponseDomainMarshaller.scala | 64 + ...redTweetsResponseTransportMarshaller.scala | 43 + .../product/scored_tweets/model/BUILD.bazel | 23 + .../model/ScoredTweetsQuery.scala | 39 + .../model/ScoredTweetsResponse.scala | 29 + .../product/scored_tweets/param/BUILD.bazel | 15 + .../param/ScoredTweetsParam.scala | 176 + .../param/ScoredTweetsParamConfig.scala | 59 + .../query_feature_hydrator/BUILD.bazel | 18 + .../FrsSeedUsersQueryFeatureHydrator.scala | 64 + .../query_transformer/BUILD.bazel | 24 + .../TimelineRankerFrsQueryTransformer.scala | 43 + ...elineRankerInNetworkQueryTransformer.scala | 42 + .../TimelineRankerQueryTransformer.scala | 109 + .../TimelineRankerUtegQueryTransformer.scala | 59 + .../response_transformer/BUILD.bazel | 18 + ...oredTweetsResponseFeatureTransformer.scala | 94 + ...etsCrMixerResponseFeatureTransformer.scala | 65 + ...dTweetsFrsResponseFeatureTransformer.scala | 31 + ...sInNetworkResponseFeatureTransformer.scala | 34 + ...TweetsUtegResponseFeatureTransformer.scala | 31 + .../TimelineRankerResponseTransformer.scala | 91 + .../product/scored_tweets/scorer/BUILD.bazel | 22 + .../scorer/DiversityDiscountProvider.scala | 30 + .../scorer/DiversityScorer.scala | 57 + .../HomeNaviModelDataRecordScorer.scala | 233 + .../scorer/WeightedScoresSumScorer.scala | 91 + .../scoring_pipeline/BUILD.bazel | 33 + ...TweetsDiversityScoringPipelineConfig.scala | 25 + ...weetsRescoreOONScoringPipelineConfig.scala | 23 + ...eVerifiedAuthorScoringPipelineConfig.scala | 24 + .../ScoredTweetsScoringPipelineConfig.scala | 174 + ...ightedScoresSumScoringPipelineConfig.scala | 34 + .../scored_tweets/side_effect/BUILD.bazel | 35 + .../CachedScoredTweetsSideEffect.scala | 123 + ...aturesAndCandidateFeaturesSideEffect.scala | 213 + .../twitter/home_mixer/service/BUILD.bazel | 15 + .../service/HomeMixerAccessPolicy.scala | 13 + .../service/HomeMixerAlertConfig.scala | 65 + .../service/ScoredTweetsService.scala | 24 + .../com/twitter/home_mixer/store/BUILD.bazel | 17 + .../store/RealGraphInNetworkScoresStore.scala | 34 + .../home_mixer/store/UserLanguagesStore.scala | 47 + .../com/twitter/home_mixer/util/BUILD.bazel | 22 + .../util/CachedScoredTweetsHelper.scala | 49 + .../home_mixer/util/CandidatesUtil.scala | 105 + .../util/InjectionTransformer.scala | 43 + .../home_mixer/util/LanguageUtil.scala | 93 + .../home_mixer/util/MissingKeyException.scala | 5 + .../util/ObservedKeyValueResultHandler.scala | 43 + .../home_mixer/util/ReplyRetweetUtil.scala | 120 + .../home_mixer/util/TensorFlowUtil.scala | 32 + .../util/TweetImpressionsHelper.scala | 15 + .../home_mixer/util/earlybird/BUILD.bazel | 18 + .../util/earlybird/EarlybirdRequestUtil.scala | 58 + .../earlybird/EarlybirdResponseUtil.scala | 369 ++ .../util/earlybird/RelevanceSearchUtil.scala | 71 + .../home_mixer/util/tweetypie/BUILD.bazel | 10 + .../util/tweetypie/RequestFields.scala | 57 + .../util/tweetypie/content/BUILD.bazel | 19 + .../content/FeatureExtractionHelper.scala | 29 + .../content/TweetMediaFeaturesExtractor.scala | 285 ++ .../content/TweetTextFeaturesExtractor.scala | 44 + navi/dr_transform/Cargo.toml | 29 + navi/dr_transform/src/all_config.rs | 49 + navi/dr_transform/src/converter.rs | 621 +++ navi/dr_transform/src/lib.rs | 5 + navi/dr_transform/src/util.rs | 30 + navi/navi/Cargo.toml | 76 + navi/navi/README.md | 34 + navi/navi/build.rs | 13 + .../proto/kfserving/grpc_predict_v2.proto | 326 ++ .../tensorflow/core/example/example.proto | 306 ++ .../tensorflow/core/example/feature.proto | 110 + 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+ .../tensorflow_serving/apis/status.proto | 17 + .../file_system_storage_path_source.proto | 88 + .../config/log_collector_config.proto | 12 + .../config/logging_config.proto | 18 + .../config/model_server_config.proto | 85 + navi/navi/scripts/run_onnx.sh | 10 + navi/navi/scripts/run_tf2.sh | 6 + navi/navi/src/batch.rs | 203 + navi/navi/src/bin/navi.rs | 47 + navi/navi/src/bin/navi_onnx.rs | 11 + navi/navi/src/bin/navi_torch.rs | 19 + navi/navi/src/bootstrap.rs | 299 ++ navi/navi/src/cli_args.rs | 236 + navi/navi/src/cores/validator.rs | 22 + navi/navi/src/lib.rs | 214 + navi/navi/src/metrics.rs | 290 ++ navi/navi/src/onnx_model.rs | 267 ++ navi/navi/src/predict_service.rs | 313 ++ navi/navi/src/tf_model.rs | 492 +++ navi/navi/src/torch_model.rs | 183 + navi/segdense/Cargo.toml | 11 + navi/segdense/src/error.rs | 43 + navi/segdense/src/lib.rs | 4 + navi/segdense/src/main.rs | 23 + navi/segdense/src/mapper.rs | 45 + ...segdense_transform_spec_home_recap_2022.rs | 183 + navi/segdense/src/util.rs | 159 + navi/thrift_bpr_adapter/thrift/Cargo.toml | 8 + navi/thrift_bpr_adapter/thrift/src/data.rs | 1213 ++++++ navi/thrift_bpr_adapter/thrift/src/decoder.rs | 78 + navi/thrift_bpr_adapter/thrift/src/lib.rs | 4 + navi/thrift_bpr_adapter/thrift/src/main.rs | 81 + .../thrift/src/prediction_service.rs | 1067 +++++ navi/thrift_bpr_adapter/thrift/src/tensor.rs | 1146 +++++ product-mixer/README.md | 41 + ...tRecommendationsMixerCandidateSource.scala | 57 + .../account_recommendations_mixer/BUILD | 22 + .../ads/AdsProdStratoCandidateSource.scala | 29 + .../ads/AdsProdThriftCandidateSource.scala | 22 + .../ads/AdsStagingCandidateSource.scala | 28 + .../candidate_source/ads/BUILD | 18 + .../ann/AnnCandidateSource.scala | 43 + .../candidate_source/ann/AnnIdQuery.scala | 18 + .../candidate_source/ann/BUILD.bazel | 17 + .../candidate_source/audiospace/BUILD.bazel | 14 + .../CreatedSpacesCandidateSource.scala | 49 + .../candidate_source/business_profiles/BUILD | 13 + .../TeamMembersCandidateSource.scala | 53 + .../candidate_source/cr_mixer/BUILD.bazel | 12 + ...dTweetRecommendationsCandidateSource.scala | 25 + ...rTweetRecommendationsCandidateSource.scala | 21 + .../candidate_source/earlybird/BUILD.bazel | 12 + .../EarlybirdTweetCandidateSource.scala | 26 + .../explore_ranker/BUILD.bazel | 12 + .../ExploreRankerCandidateSource.scala | 31 + .../flexible_injection_pipeline/BUILD | 17 + .../PromptCandidateSource.scala | 50 + .../candidate_source/hermit/BUILD.bazel | 16 + .../UsersSimilarToMeCandidateSource.scala | 32 + .../candidate_source/interest_discovery/BUILD | 18 + .../RelatedTopicsCandidateSource.scala | 34 + .../candidate_source/lists/BUILD.bazel | 14 + .../OrganicPopGeoListsCandidateSource.scala | 39 + .../candidate_source/people_discovery/BUILD | 23 + .../PeopleDiscoveryCandidateSource.scala | 71 + .../recommendations/BUILD.bazel | 21 + ...FollowRecommendationsCandidateSource.scala | 41 + .../candidate_source/social_graph/BUILD.bazel | 22 + .../SocialgraphCandidateSource.scala | 57 + .../SocialgraphCursorConstants.scala | 7 + .../timeline_ranker/BUILD.bazel | 13 + ...melineRankerInNetworkCandidateSource.scala | 51 + .../TimelineRankerRecapCandidateSource.scala | 28 + .../TimelineRankerUtegCandidateSource.scala | 49 + .../timeline_scorer/BUILD.bazel | 16 + .../TimelineScorerCandidateSource.scala | 156 + .../candidate_source/timeline_service/BUILD | 18 + .../TimelineServiceTweetCandidateSource.scala | 48 + .../timelines_impression_store/BUILD | 16 + ...inesImpressionStoreCandidateSourceV2.scala | 30 + .../candidate_source/topics/BUILD | 11 + .../FollowedTopicsCandidateSource.scala | 21 + .../tweetconvosvc/BUILD.bazel | 26 + .../ConversationServiceCandidateSource.scala | 173 + ...ionServiceResponseFeatureTransformer.scala | 49 + ...pMaxConversationModuleItemCandidates.scala | 55 + .../component_library/decorator/slice/BUILD | 23 + .../slice/SliceItemCandidateDecorator.scala | 41 + .../decorator/slice/builder/BUILD | 17 + .../CursorCandidateSliceItemBuilder.scala | 29 + .../component_library/decorator/urt/BUILD | 108 + ...rtConversationItemCandidateDecorator.scala | 44 + .../urt/UrtItemCandidateDecorator.scala | 40 + .../urt/UrtItemInModuleDecorator.scala | 52 + .../urt/UrtMultipleModulesDecorator.scala | 108 + .../ContextualTweetRefBuilder.scala | 12 + .../ConversationModuleMetadataBuilder.scala | 38 + .../FlipPromptCandidateUrtItemBuilder.scala | 205 + .../FlipPromptModuleGrouping.scala | 23 + .../FlipPromptUrtModuleBuilder.scala | 54 + .../OnboardingInjectionConversions.scala | 361 ++ .../RelevancePromptConversions.scala | 76 + .../TilesCarouselConversions.scala | 154 + .../urt/builder/icon/HorizonIconBuilder.scala | 17 + .../item/ad/AdsCandidateUrtItemBuilder.scala | 274 ++ .../item/alert/DurationParamBuilder.scala | 20 + .../ShowAlertCandidateUrtItemBuilder.scala | 61 + ...icShowAlertColorConfigurationBuilder.scala | 18 + ...taticShowAlertDisplayLocationBuilder.scala | 18 + ...taticShowAlertIconDisplayInfoBuilder.scala | 18 + .../ArticleCandidateUrtItemBuilder.scala | 52 + .../AudioSpaceCandidateUrtItemBuilder.scala | 39 + .../card/CardCandidateUtrItemBuilder.scala | 51 + ...mmerceProductCandidateUrtItemBuilder.scala | 41 + ...eProductGroupCandidateUrtItemBuilder.scala | 42 + .../EventCandidateUrtItemBuilder.scala | 51 + .../GenericSummaryActionBuilder.scala | 32 + ...enericSummaryCandidateUrtItemBuilder.scala | 64 + .../GenericSummaryContextBuilder.scala | 22 + .../IconLabelCandidateUrtItemBuilder.scala | 42 + ...tCandidateUrtItemStringCenterBuilder.scala | 59 + ...tCandidateUrtItemStringCenterBuilder.scala | 74 + .../message/MessageTextActionBuilder.scala | 36 + .../item/message/UserFacePileBuilder.scala | 24 + ...entAnnotationCandidateUrtItemBuilder.scala | 46 + ...tCandidateUrtItemStringCenterBuilder.scala | 62 + ...ingSuggestionCandidateUrtItemBuilder.scala | 41 + .../tile/TileCandidateUrtItemBuilder.scala | 48 + .../topic/ParamTopicDisplayTypeBuilder.scala | 41 + .../ParamTopicFunctionalityTypeBuilder.scala | 38 + .../topic/StaticTopicDisplayTypeBuilder.scala | 18 + .../StaticTopicFunctionalityTypeBuilder.scala | 18 + .../topic/TopicCandidateUrtItemBuilder.scala | 47 + ...icalGridTopicCandidateUrtItemBuilder.scala | 46 + .../trend/TrendCandidateUrtItemBuilder.scala | 63 + .../trend/TrendMetaDescriptionBuilder.scala | 38 + .../trend/TrendPromotedMetadataBuilder.scala | 41 + .../tweet/TweetCandidateUrtItemBuilder.scala | 92 + .../TwitterListCandidateUrtItemBuilder.scala | 41 + ...iedTrendEventCandidateUrtItemBuilder.scala | 36 + .../user/UserCandidateUrtItemBuilder.scala | 62 + .../metadata/ClientEventInfoBuilder.scala | 48 + ...sationTweetClientEventDetailsBuilder.scala | 63 + .../builder/metadata/StaticUrlBuilder.scala | 18 + .../TopicClientEventDetailsBuilder.scala | 56 + ...tInterestedFeedbackActionInfoBuilder.scala | 45 + .../TopicTweetClientEventDetailsBuilder.scala | 66 + .../TopicsToFollowModuleMetadataBuilder.scala | 39 + ...WhoToFollowFeedbackActionInfoBuilder.scala | 60 + .../CursorCandidateUrtOperationBuilder.scala | 29 + .../FeaturePromotedMetadataBuilder.scala | 106 + .../builder/richtext/RichTextBuilder.scala | 28 + .../builder/richtext/RichTextMarkupUtil.scala | 135 + .../RichTextReferenceObjectBuilder.scala | 8 + .../richtext/RichTextRtlOptionBuilder.scala | 12 + .../richtext/StaticRichTextBuilder.scala | 17 + .../TwitterTextEntityProcessor.scala | 51 + .../TwitterTextFormatProcessor.scala | 67 + .../twitter_text/TwitterTextRenderer.scala | 390 ++ .../TwitterTextRendererProcessor.scala | 5 + .../TwitterTextRichTextBuilder.scala | 37 + .../FeatureSocialContextBuilder.scala | 101 + .../GeneralModuleSocialContextBuilder.scala | 38 + .../GeneralSocialContextBuilder.scala | 32 + .../WhoToFollowSocialContextBuilder.scala | 48 + .../urt/builder/stringcenter/ModuleStr.scala | 31 + .../urt/builder/stringcenter/Str.scala | 36 + .../FeatureModuleDisplayTypeBuilder.scala | 22 + ...ShowMoreBehaviorRevealByCountBuilder.scala | 22 + .../timeline_module/ModuleFooterBuilder.scala | 27 + .../timeline_module/ModuleHeaderBuilder.scala | 41 + .../ModuleHeaderDisplayTypeBuilder.scala | 22 + .../timeline_module/ModuleIdGeneration.scala | 51 + ...ShowMoreBehaviorRevealByCountBuilder.scala | 25 + .../ParamGatedModuleFooterBuilder.scala | 26 + .../ParamGatedModuleHeaderBuilder.scala | 26 + ...mWhoToFollowModuleDisplayTypeBuilder.scala | 53 + .../StaticModuleDisplayTypeBuilder.scala | 16 + .../TimelineModuleBuilder.scala | 56 + .../experiments/metrics/BUILD | 11 + .../metrics/MetricDefinitions.scala | 116 + .../experiments/metrics/MetricGroup.scala | 54 + .../metrics/MetricTemplateCLIRunner.scala | 101 + .../experiments/metrics/MetricTemplates.scala | 123 + .../metrics/PlaceholderConfig.scala | 37 + .../feature/featurestorev1/BUILD | 14 + .../FeatureStoreV1QueryUserIdFeature.scala | 46 + ...yUserIdTweetCandidateAuthorIdFeature.scala | 68 + ...ryUserIdTweetCandidateTweetIdFeature.scala | 66 + ...StoreV1TweetCandidateAuthorIdFeature.scala | 60 + ...eStoreV1TweetCandidateTweetIdFeature.scala | 58 + ...ureStoreV1UserCandidateUserIdFeature.scala | 40 + .../component_library/feature_hydrator/BUILD | 35 + ...erBrandSafetySettingsFeatureHydrator.scala | 52 + .../feature_hydrator/candidate/ads/BUILD | 21 + .../candidate/decay/BUILD.bazel | 16 + .../decay/DecayCandidateFeatureHydrator.scala | 65 + .../candidate/param_gated/BUILD | 25 + ...ramGatedBulkCandidateFeatureHydrator.scala | 51 + .../ParamGatedCandidateFeatureHydrator.scala | 51 + .../param_gated/featurestorev1/BUILD | 27 + ...atureStoreV1CandidateFeatureHydrator.scala | 58 + .../candidate/qualityfactor_gated/BUILD.bazel | 14 + ...yFactorGatedCandidateFeatureHydrator.scala | 59 + .../candidate/tweet_is_nsfw/BUILD | 37 + .../TweetIsNsfwCandidateFeatureHydrator.scala | 109 + .../candidate/tweet_tlx/BUILD.bazel | 42 + ...weetTLXScoreCandidateFeatureHydrator.scala | 59 + .../candidate/tweet_tweetypie/BUILD | 29 + ...eetTweetypieCandidateFeatureHydrator.scala | 241 ++ .../candidate/tweet_visibility_reason/BUILD | 31 + ...tyReasonBulkCandidateFeatureHydrator.scala | 98 + .../async/AsyncQueryFeatureHydrator.scala | 97 + .../feature_hydrator/query/async/BUILD | 23 + .../query/cr_ml_ranker/BUILD.bazel | 19 + ...CrMlRankerCommonQueryFeatureHydrator.scala | 37 + ...kerCommonQueryFeatureHydratorBuilder.scala | 18 + .../cr_ml_ranker/RankingConfigBuilder.scala | 11 + .../query/impressed_tweets/BUILD | 23 + .../ImpressedTweetsQueryFeatureHydrator.scala | 57 + .../query/logged_in_only/BUILD | 25 + .../LoggedInOnlyQueryFeatureHydrator.scala | 31 + .../AsyncParamGatedQueryFeatureHydrator.scala | 48 + .../feature_hydrator/query/param_gated/BUILD | 25 + .../ParamGatedQueryFeatureHydrator.scala | 39 + ...edFeatureStoreV1QueryFeatureHydrator.scala | 53 + .../query/param_gated/featurestorev1/BUILD | 27 + ...edFeatureStoreV1QueryFeatureHydrator.scala | 47 + .../query/qualityfactor_gated/BUILD.bazel | 14 + ...alityFactorGatedQueryFeatureHydrator.scala | 54 + ...daptiveLongIntBloomFilterDedupFilter.scala | 40 + .../component_library/filter/BUILD | 30 + .../filter/ExcludedIdsFilter.scala | 28 + .../filter/FeatureFilter.scala | 63 + .../FeatureValueConditionalFilter.scala | 64 + .../filter/HasAuthorIdFeatureFilter.scala | 27 + .../filter/ParamGatedFilter.scala | 41 + .../filter/PredicateFilter.scala | 63 + .../filter/SnowflakeIdAgeFilter.scala | 42 + .../filter/TweetAuthorCountryFilter.scala | 47 + .../filter/TweetAuthorIsSelfFilter.scala | 37 + .../filter/TweetIsNotReplyFilter.scala | 36 + .../filter/TweetLanguageFilter.scala | 40 + .../filter/TweetVisibilityFilter.scala | 71 + .../UrtUnorderedExcludeIdsCursorFilter.scala | 32 + .../filter/list_visibility/BUILD.bazel | 17 + .../ListVisibilityFilter.scala | 52 + .../filter/tweet_impression/BUILD.bazel | 14 + .../TweetImpressionFilter.scala | 37 + .../component_library/gate/BUILD | 16 + .../gate/DefinedCountryCodeGate.scala | 13 + .../component_library/gate/FeatureGate.scala | 83 + .../gate/FirstPageGate.scala | 19 + .../gate/NoCandidatesGate.scala | 21 + .../gate/NonEmptyAdsQueryStringGate.scala | 16 + .../gate/NonEmptyCandidatesGate.scala | 22 + .../gate/QualityFactorGate.scala | 25 + .../AnyCandidatesWithoutFeatureGate.scala | 34 + .../BUILD.bazel | 13 + .../model/candidate/ArticleCandidate.scala | 77 + .../model/candidate/AudioSpaceCandidate.scala | 75 + .../component_library/model/candidate/BUILD | 13 + .../model/candidate/CardCandidate.scala | 75 + .../candidate/CommerceItemCandidate.scala | 160 + .../model/candidate/CursorCandidate.scala | 87 + .../model/candidate/DMConvoCandidate.scala | 160 + .../model/candidate/DMEventCandidate.scala | 152 + .../candidate/GenericSummaryCandidate.scala | 75 + .../model/candidate/LabelCandidate.scala | 72 + .../candidate/MomentAnnotationCandidate.scala | 86 + .../model/candidate/PromptCandidate.scala | 433 ++ .../model/candidate/ShowAlertCandidate.scala | 80 + .../model/candidate/TopicCandidate.scala | 159 + .../model/candidate/TweetCandidate.scala | 93 + .../candidate/TwitterListCandidate.scala | 74 + .../model/candidate/UserCandidate.scala | 87 + .../model/candidate/ads/AdsCandidate.scala | 95 + .../model/candidate/ads/BUILD | 22 + .../hubble/AdCreativeCandidate.scala | 91 + .../candidate/hubble/AdGroupCandidate.scala | 86 + .../candidate/hubble/AdUnitCandidate.scala | 86 + .../model/candidate/hubble/BUILD | 15 + .../candidate/hubble/CampaignCandidate.scala | 76 + .../hubble/FundingSourceCandidate.scala | 83 + .../model/candidate/suggestion/BUILD | 17 + .../suggestion/QuerySuggestionCandidate.scala | 296 ++ .../SpellingSuggestionCandidate.scala | 93 + .../model/candidate/trends_events/BUILD | 17 + .../UnifiedTrendEventCandidate.scala | 119 + .../component_library/model/cursor/BUILD | 19 + .../model/cursor/OrderedCursor.scala | 30 + .../model/cursor/PassThroughCursor.scala | 35 + .../cursor/UnorderedBloomFilterCursor.scala | 25 + .../cursor/UnorderedExcludeIdsCursor.scala | 30 + .../model/cursor/UrtPlaceholderCursor.scala | 17 + .../flexible_injection_pipeline/BUILD.bazel | 22 + .../model/presentation/slice/BUILD | 15 + .../slice/SliceItemPresentation.scala | 7 + .../model/presentation/urt/BUILD | 13 + .../urt/ConversationModuleItem.scala | 10 + .../urt/UrtItemPresentation.scala | 10 + .../urt/UrtModulePresentation.scala | 8 + .../urt/UrtOperationPresentation.scala | 8 + .../model/query/ads/AdsQuery.scala | 59 + .../component_library/model/query/ads/BUILD | 17 + .../AccountRecommendationsMixerModule.scala | 60 + .../component_library/module/BUILD | 72 + .../module/ConversationServiceModule.scala | 42 + .../module/CrMixerClientModule.scala | 33 + .../module/DarkTrafficFilterModule.scala | 27 + .../module/EarlybirdModule.scala | 60 + .../module/ExploreRankerClientModule.scala | 38 + .../FollowRecommenderServiceModule.scala | 34 + .../module/GizmoduckClientModule.scala | 47 + .../module/HomeScorerClientModule.scala | 33 + .../InterestsDiscoveryServiceModule.scala | 34 + .../module/OnboardingTaskServiceModule.scala | 30 + .../module/PeopleDiscoveryServiceModule.scala | 42 + .../module/SocialGraphServiceModule.scala | 36 + .../module/TimelineMixerClientModule.scala | 33 + .../module/TimelineRankerClientModule.scala | 47 + .../module/TimelineScorerClientModule.scala | 33 + .../module/TimelineServiceClientModule.scala | 44 + .../module/TweetImpressionStoreModule.scala | 66 + .../module/TweetyPieClientModule.scala | 58 + .../module/UserSessionStoreModule.scala | 74 + .../module/cr_ml_ranker/BUILD.bazel | 13 + .../cr_ml_ranker/CrMlRankerModule.scala | 39 + .../component_library/module/http/BUILD | 30 + .../module/http/FinagleHttpClientModule.scala | 69 + ...eHttpClientWithCredentialProxyModule.scala | 75 + .../FinagleHttpClientWithProxyModule.scala | 81 + .../module/http/FinatraHttpClientModule.scala | 79 + ...aHttpClientWithCredentialProxyModule.scala | 93 + .../FinatraHttpClientWithProxyModule.scala | 89 + .../module/http/ProxyCredentialsModule.scala | 27 + .../ads/AdsCandidatePipelineConfig.scala | 56 + .../AdsCandidatePipelineConfigBuilder.scala | 56 + ...AdsCandidatePipelineQueryTransformer.scala | 79 + ...sCandidatePipelineResultsTransformer.scala | 39 + .../AdsDependentCandidatePipelineConfig.scala | 60 + ...endentCandidatePipelineConfigBuilder.scala | 58 + ...entCandidatePipelineQueryTransformer.scala | 33 + .../ads/AdsDisplayLocationBuilder.scala | 16 + .../pipeline/candidate/ads/BUILD | 22 + .../candidate/ads/CountNumOrganicItems.scala | 54 + .../candidate/ads/GetOrganicItemIds.scala | 29 + .../ads/PromotedTweetsOnlyFilter.scala | 39 + .../ads/ValidAdImpressionIdFilter.scala | 24 + .../flexible_injection_pipeline/BUILD.bazel | 23 + .../FlipPromptCandidatePipelineConfig.scala | 67 + ...PromptCandidatePipelineConfigBuilder.scala | 35 + ...omptDependentCandidatePipelineConfig.scala | 69 + ...endentCandidatePipelineConfigBuilder.scala | 35 + .../transformer/BUILD | 22 + .../FlipCandidateFeatureTransformer.scala | 37 + .../transformer/FlipInjectionParams.scala | 11 + .../transformer/FlipQueryTransformer.scala | 62 + .../PromptResultsTransformer.scala | 54 + .../who_to_follow_module/BUILD.bazel | 20 + .../WhoToFollowArmCandidateDecorator.scala | 82 + ...hoToFollowArmCandidatePipelineConfig.scala | 10 + ...ArmCandidatePipelineQueryTransformer.scala | 72 + ...wArmDependentCandidatePipelineConfig.scala | 76 + ...endentCandidatePipelineConfigBuilder.scala | 66 + ...oFollowArmResponseFeatureTransformer.scala | 38 + .../WhoToFollowCandidateDecorator.scala | 89 + .../WhoToFollowCandidatePipelineConfig.scala | 77 + ...FollowCandidatePipelineConfigBuilder.scala | 69 + ...lowCandidatePipelineQueryTransformer.scala | 39 + ...WhoToFollowClientEventDetailsBuilder.scala | 67 + ...llowDependentCandidatePipelineConfig.scala | 75 + ...endentCandidatePipelineConfigBuilder.scala | 70 + ...hoToFollowResponseFeatureTransformer.scala | 39 + .../premarshaller/cursor/BUILD | 25 + .../cursor/CursorSerializer.scala | 149 + .../cursor/UrtCursorSerializer.scala | 161 + .../premarshaller/slice/BUILD | 25 + .../slice/SliceDomainMarshaller.scala | 96 + .../premarshaller/slice/builder/BUILD | 19 + .../builder/OrderedNextCursorBuilder.scala | 38 + .../builder/OrderedNextCursorUpdater.scala | 28 + .../OrderedPreviousCursorBuilder.scala | 40 + .../OrderedPreviousCursorUpdater.scala | 30 + .../slice/builder/ShouldInclude.scala | 16 + .../slice/builder/SliceBuilder.scala | 62 + .../slice/builder/SliceCursorBuilder.scala | 24 + .../slice/builder/SliceCursorUpdater.scala | 58 + .../component_library/premarshaller/urp/BUILD | 21 + .../urp/UrpDomainMarshaller.scala | 52 + .../premarshaller/urp/builder/BUILD | 16 + .../urp/builder/PageBodyBuilder.scala | 18 + .../urp/builder/PageHeaderBuilder.scala | 18 + .../urp/builder/PageNavBarBuilder.scala | 18 + .../StaticTimelineScribeConfigBuilder.scala | 19 + .../builder/TimelineScribeConfigBuilder.scala | 22 + .../component_library/premarshaller/urt/BUILD | 27 + .../urt/UndecoratedUrtDomainMarshaller.scala | 148 + .../urt/UrtDomainMarshaller.scala | 112 + .../AddEntriesInstructionBuilder.scala | 19 + ...iesWithAddToModuleInstructionBuilder.scala | 33 + ...thPinnedAndReplaceInstructionBuilder.scala | 31 + ...eplaceAndShowAlertInstructionBuilder.scala | 25 + ...EntriesWithReplaceInstructionBuilder.scala | 31 + ...triesWithShowCoverInstructionBuilder.scala | 29 + .../AddToModuleInstructionBuilder.scala | 37 + .../premarshaller/urt/builder/BUILD | 29 + ...orderedExcludeIdsBottomCursorBuilder.scala | 49 + .../ClearCacheInstructionBuilder.scala | 16 + .../FeaturePassThroughCursorBuilder.scala | 33 + .../urt/builder/IncludeInstruction.scala | 31 + .../MarkUnreadInstructionBuilder.scala | 32 + .../builder/OrderedBottomCursorBuilder.scala | 45 + .../urt/builder/OrderedGapCursorBuilder.scala | 54 + .../urt/builder/OrderedTopCursorBuilder.scala | 52 + .../builder/PinEntryInstructionBuilder.scala | 23 + .../builder/PlaceholderTopCursorBuilder.scala | 34 + .../ReplaceEntryInstructionBuilder.scala | 63 + .../builder/ShowAlertInstructionBuilder.scala | 23 + .../builder/ShowCoverInstructionBuilder.scala | 24 + .../StaticTimelineScribeConfigBuilder.scala | 15 + .../builder/TerminateInstructionBuilder.scala | 44 + .../builder/TimelineScribeConfigBuilder.scala | 18 + ...rderedBloomFilterBottomCursorBuilder.scala | 43 + ...orderedExcludeIdsBottomCursorBuilder.scala | 26 + ...eredExcludeIdsSeqBottomCursorBuilder.scala | 30 + .../urt/builder/UrtBuilder.scala | 94 + .../urt/builder/UrtCursorBuilder.scala | 134 + .../urt/builder/UrtCursorUpdater.scala | 44 + .../urt/builder/UrtInstructionBuilder.scala | 15 + .../urt/builder/UrtMetadataBuilder.scala | 43 + .../component_library/scorer/common/BUILD | 30 + .../common/MLModelInferenceClient.scala | 12 + .../scorer/common/ManagedModelClient.scala | 33 + .../scorer/common/ModelSelector.scala | 28 + .../scorer/common/NaviModelClient.scala | 50 + .../component_library/scorer/cortex/BUILD | 35 + ...agedInferenceServiceDataRecordScorer.scala | 137 + ...erenceServiceDataRecordScorerBuilder.scala | 67 + ...xManagedInferenceServiceTensorScorer.scala | 97 + ...dInferenceServiceTensorScorerBuilder.scala | 47 + .../scorer/cortex/ModelFeatureExtractor.scala | 15 + .../scorer/cr_ml_ranker/BUILD.bazel | 18 + .../cr_ml_ranker/CrMlRankerScorer.scala | 52 + .../cr_ml_ranker/CrMlRankerStitchClient.scala | 79 + .../component_library/scorer/deepbird/BUILD | 42 + .../deepbird/BaseDeepbirdV2Scorer.scala | 91 + .../DeepbirdV2PredictionServerScorer.scala | 55 + .../LollyPredictionEngineScorer.scala | 61 + .../TensorflowPredictionEngineScorer.scala | 58 + .../scorer/param_gated/BUILD | 16 + .../scorer/param_gated/ParamGatedScorer.scala | 43 + .../scorer/qualityfactor_gated/BUILD | 16 + .../QualityFactorGatedScorer.scala | 59 + .../scorer/tensorbuilder/BUILD | 21 + .../BooleanInferInputTensorBuilder.scala | 13 + .../BytesInferInputTensorBuilder.scala | 13 + .../CandidateInferInputTensorBuilder.scala | 70 + .../Float32InferInputTensorBuilder.scala | 27 + .../FloatTensorInferInputTensorBuilder.scala | 33 + .../InferInputTensorBuilder.scala | 151 + .../Int64InferInputTensorBuilder.scala | 26 + .../ModelInferRequestBuilder.scala | 40 + .../QueryInferInputTensorBuilder.scala | 61 + .../SparseMapInferInputTensorBuilder.scala | 61 + .../scorer/tweet_tlx/BUILD.bazel | 26 + .../tweet_tlx/TweetTLXStratoScorer.scala | 58 + .../tweet_tlx/TweetTLXThriftScorer.scala | 79 + .../component_library/selector/BUILD | 47 + .../component_library/selector/Bucketer.scala | 20 + .../selector/CandidateMergeStrategy.scala | 82 + .../selector/CandidatePositionInResults.scala | 33 + .../selector/DeduplicationKey.scala | 33 + .../selector/DropAllCandidates.scala | 29 + .../selector/DropDuplicateCandidates.scala | 45 + .../DropDuplicateModuleItemCandidates.scala | 88 + .../selector/DropDuplicateResults.scala | 46 + .../selector/DropFilteredCandidates.scala | 48 + .../DropFilteredModuleItemCandidates.scala | 50 + .../selector/DropMaxCandidates.scala | 84 + .../DropMaxModuleItemCandidates.scala | 54 + .../selector/DropMaxResults.scala | 40 + .../DropModuleTooFewModuleItemResults.scala | 46 + .../selector/DropNonDuplicateCandidates.scala | 75 + .../selector/DropOrthogonalCandidates.scala | 54 + ...DropRequestedMaxModuleItemCandidates.scala | 68 + .../selector/DropRequestedMaxResults.scala | 55 + .../selector/DropSelector.scala | 111 + .../selector/DropTooFewResults.scala | 35 + .../selector/DynamicPositionSelector.scala | 124 + .../InsertAppendIntoModuleCandidates.scala | 56 + .../selector/InsertAppendPatternResults.scala | 105 + .../selector/InsertAppendRatioResults.scala | 171 + .../selector/InsertAppendResults.scala | 53 + .../selector/InsertAppendWeaveResults.scala | 120 + .../InsertAppendWithoutFeatureResults.scala | 35 + .../InsertDynamicPositionResults.scala | 69 + ...ertFixedPositionIntoModuleCandidates.scala | 69 + .../selector/InsertFixedPositionResults.scala | 46 + .../selector/InsertIntoModule.scala | 70 + ...rtPerCandidateDynamicPositionResults.scala | 78 + .../InsertRandomPositionResults.scala | 139 + .../InsertRelativePositionResults.scala | 58 + .../selector/InsertSelector.scala | 39 + .../selector/SelectConditionally.scala | 85 + .../SelectFromSubpoolCandidates.scala | 147 + .../selector/UpdateSortCandidates.scala | 86 + .../UpdateSortModuleItemCandidates.scala | 96 + .../selector/UpdateSortResults.scala | 43 + .../selector/ads/AdsInjector.scala | 73 + .../selector/ads/BUILD.bazel | 30 + .../selector/ads/InsertAdResults.scala | 95 + .../component_library/selector/sorter/BUILD | 20 + .../selector/sorter/FeatureValueSorter.scala | 248 ++ .../selector/sorter/RandomShuffleSorter.scala | 16 + .../selector/sorter/ReverseSorter.scala | 14 + .../selector/sorter/SortOrder.scala | 5 + .../selector/sorter/SorterFromOrdering.scala | 25 + .../selector/sorter/SorterProvider.scala | 40 + .../selector/sorter/featurestorev1/BUILD | 18 + .../FeatureStoreV1FeatureValueSorter.scala | 98 + .../component_library/side_effect/BUILD | 30 + .../KafkaPublishingSideEffect.scala | 233 + .../ParamGatedPipelineResultSideEffect.scala | 76 + .../ScribeClientEventSideEffect.scala | 118 + .../ScribeLogEventAsyncSideEffect.scala | 58 + .../ScribeLogEventSideEffect.scala | 58 + .../side_effect/StratoInsertSideEffect.scala | 70 + .../UserSessionStoreUpdateSideEffect.scala | 35 + .../side_effect/metrics/BUILD.bazel | 18 + .../metrics/CandidateMetricFunction.scala | 59 + .../ScribeClientEventMetricsSideEffect.scala | 74 + ...eClientEventMetricsSideEffectBuilder.scala | 84 + .../core/product/guice/scope/BUILD | 8 + .../product/guice/scope/ProductScoped.java | 14 + .../core/controllers/AlertConfig.scala | 38 + .../product_mixer/core/controllers/BUILD | 39 + .../controllers/DebugTwitterContext.scala | 55 + .../GetComponentRegistryHandler.scala | 114 + .../GetDebugConfigurationHandler.scala | 60 + .../core/controllers/PredicateConfig.scala | 22 + .../controllers/ProductMixerController.scala | 79 + .../QualityFactorMonitoringConfig.scala | 6 + .../twitter/product_mixer/core/feature/BUILD | 10 + .../product_mixer/core/feature/Feature.scala | 74 + .../core/feature/datarecord/BUILD | 21 + .../datarecord/DataRecordCompatible.scala | 316 ++ .../datarecord/DataRecordFeature.scala | 42 + .../core/feature/featuremap/BUILD | 16 + .../core/feature/featuremap/FeatureMap.scala | 195 + .../featuremap/FeatureMapBuilder.scala | 110 + .../featuremap/FeatureMapException.scala | 12 + .../featuremap/FeatureMapSerializer.scala | 63 + .../asyncfeaturemap/AsyncFeatureMap.scala | 134 + .../AsyncFeatureMapSerializer.scala | 45 + .../feature/featuremap/asyncfeaturemap/BUILD | 18 + .../core/feature/featuremap/datarecord/BUILD | 23 + .../datarecord/DataRecordConverter.scala | 51 + .../datarecord/DataRecordExtractor.scala | 60 + .../featuremap/datarecord/FeaturesScope.scala | 157 + .../feature/featuremap/featurestorev1/BUILD | 17 + .../FeatureStoreV1FeatureMap.scala | 191 + .../core/feature/featurestorev1/BUILD | 29 + .../featurestorev1/FeatureStoreV1Entity.scala | 35 + .../FeatureStoreV1Feature.scala | 312 ++ .../feature/featurestorev1/featurevalue/BUILD | 19 + .../featurevalue/FeatureStoreV1Response.scala | 39 + .../functional_component/access_policy/BUILD | 9 + .../candidate_source/BUILD | 21 + .../candidate_source/CandidateSource.scala | 50 + .../CandidatesWithSourceFeatures.scala | 16 + .../PassthroughCandidateSource.scala | 59 + .../StaticCandidateSource.scala | 15 + .../candidate_source/product_pipeline/BUILD | 23 + .../ProductPipelineCandidateSource.scala | 71 + .../candidate_source/strato/BUILD | 21 + .../strato/StratoErrCategorizer.scala | 21 + .../strato/StratoKeyFetcherSeqSource.scala | 27 + .../strato/StratoKeyFetcherSource.scala | 45 + ...toKeyFetcherWithSourceFeaturesSource.scala | 65 + .../strato/StratoKeyView.scala | 4 + .../StratoKeyViewFetcherSeqSource.scala | 30 + .../strato/StratoKeyViewFetcherSource.scala | 51 + ...yViewFetcherWithSourceFeaturesSource.scala | 75 + .../core/functional_component/common/BUILD | 15 + .../common/CandidateScope.scala | 98 + .../common/access_policy/AccessPolicy.scala | 38 + .../access_policy/AccessPolicyEvaluator.scala | 12 + .../common/access_policy/BUILD | 15 + .../WithDebugAccessPolicies.scala | 10 + .../common/alert/Alert.scala | 31 + .../common/alert/AlertType.scala | 25 + .../functional_component/common/alert/BUILD | 21 + .../common/alert/EmptyResponseRateAlert.scala | 27 + .../alert/GenericClientLatencyAlert.scala | 19 + .../alert/GenericClientSuccessRateAlert.scala | 29 + .../alert/GenericClientThroughputAlert.scala | 25 + .../common/alert/IsObservableFromStrato.scala | 10 + .../common/alert/LatencyAlert.scala | 20 + .../common/alert/NotificationGroup.scala | 36 + .../common/alert/Percentile.scala | 17 + .../common/alert/ResponseSizeAlert.scala | 27 + .../common/alert/Source.scala | 47 + .../common/alert/StratoColumnAlert.scala | 34 + .../common/alert/SuccessRateAlert.scala | 27 + .../common/alert/ThroughputAlert.scala | 24 + .../common/alert/predicate/BUILD | 13 + .../alert/predicate/MetricGranularity.scala | 35 + .../common/alert/predicate/Operator.scala | 14 + .../common/alert/predicate/Predicate.scala | 52 + .../alert/predicate/TriggerIfAbove.scala | 15 + .../alert/predicate/TriggerIfBelow.scala | 15 + .../predicate/TriggerIfLatencyAbove.scala | 22 + .../core/functional_component/configapi/BUILD | 25 + .../configapi/ConfigBuilder.scala | 17 + .../configapi/ParamsBuilder.scala | 34 + .../configapi/RequestContext.scala | 19 + .../configapi/RequestContextBuilder.scala | 72 + .../configapi/StaticParam.scala | 6 + .../configapi/registry/BUILD | 23 + .../registry/GlobalParamConfig.scala | 7 + .../registry/GlobalParamRegistry.scala | 21 + .../configapi/registry/ParamConfig.scala | 74 + .../registry/ParamConfigBuilder.scala | 49 + .../core/functional_component/decorator/BUILD | 37 + .../decorator/CandidateDecorator.scala | 61 + .../decorator/Decoration.scala | 11 + .../decorator/slice/builder/BUILD | 21 + .../builder/CandidateSliceItemBuilder.scala | 14 + .../decorator/urt/builder/BUILD | 27 + .../builder/CandidateUrtEntryBuilder.scala | 14 + .../builder/icon/BaseHorizonIconBuilder.scala | 14 + .../item/alert/BaseDurationBuilder.scala | 11 + ...seShowAlertColorConfigurationBuilder.scala | 15 + .../BaseShowAlertDisplayLocationBuilder.scala | 15 + .../BaseShowAlertIconDisplayInfoBuilder.scala | 15 + ...seShowAlertNavigationMetadataBuilder.scala | 15 + .../alert/BaseShowAlertUserIdsBuilder.scala | 10 + .../topic/BaseTopicDisplayTypeBuilder.scala | 15 + .../BaseTopicFunctionalityTypeBuilder.scala | 15 + .../tweet/BaseEntryIdToReplaceBuilder.scala | 14 + .../tweet/BaseTimelinesScoreInfoBuilder.scala | 15 + .../tweet/BaseTweetHighlightsBuilder.scala | 15 + .../BaseUserReactiveTriggersBuilder.scala | 15 + .../BaseClientEventDetailsBuilder.scala | 19 + .../metadata/BaseClientEventInfoBuilder.scala | 20 + .../BaseFeedbackActionInfoBuilder.scala | 15 + .../urt/builder/metadata/BaseModuleStr.scala | 10 + .../urt/builder/metadata/BaseStr.scala | 10 + .../urt/builder/metadata/BaseUrlBuilder.scala | 11 + .../BasePromotedMetadataBuilder.scala | 15 + .../richtext/BaseRichTextBuilder.scala | 11 + .../BaseModuleSocialContextBuilder.scala | 14 + .../BaseSocialContextBuilder.scala | 15 + ...ModuleStringCenterPlaceholderBuilder.scala | 12 + .../BaseStringCenterPlaceholderBuilder.scala | 12 + .../BaseModuleDisplayTypeBuilder.scala | 14 + .../BaseModuleFooterBuilder.scala | 14 + .../BaseModuleHeaderBuilder.scala | 14 + .../BaseModuleHeaderDisplayTypeBuilder.scala | 16 + .../BaseModuleMetadataBuilder.scala | 14 + .../BaseModuleShowMoreBehaviorBuilder.scala | 14 + .../BaseTimelineModuleBuilder.scala | 14 + .../feature_hydrator/BUILD | 21 + .../CandidateFeatureHydrator.scala | 96 + .../feature_hydrator/FeatureHydrator.scala | 9 + .../HydratorCandidateResult.scala | 10 + .../QueryFeatureHydrator.scala | 79 + .../feature_hydrator/featurestorev1/BUILD | 24 + .../FeatureStoreDatasetErrorHandler.scala | 74 + ...atureStoreV1CandidateFeatureHydrator.scala | 97 + .../FeatureStoreV1DynamicClientBuilder.scala | 12 + .../FeatureStoreV1HydrationConfig.scala | 25 + .../FeatureStoreV1QueryFeatureHydrator.scala | 79 + .../core/functional_component/filter/BUILD | 21 + .../functional_component/filter/Filter.scala | 67 + .../filter/FilterResult.scala | 4 + .../core/functional_component/gate/BUILD | 21 + .../core/functional_component/gate/Gate.scala | 127 + .../gate/GateResult.scala | 47 + .../gate/ShouldContinue.scala | 7 + .../functional_component/marshaller/BUILD | 17 + .../marshaller/TransportMarshaller.scala | 42 + .../marshaller/request/BUILD | 17 + .../request/ClientContextMarshaller.scala | 27 + .../request/ClientContextUnmarshaller.scala | 30 + .../request/FeatureValueUnmarshaller.scala | 31 + .../response/graphql/contextual_ref/BUILD | 21 + .../ContextualTweetRefMarshaller.scala | 17 + .../OuterTweetContextMarshaller.scala | 18 + .../TweetHydrationContextMarshaller.scala | 20 + .../response/rtf/safety_level/BUILD | 17 + .../safety_level/SafetyLevelMarshaller.scala | 24 + .../marshaller/response/slice/BUILD | 16 + .../response/slice/CursorTypeMarshaller.scala | 29 + .../response/slice/SliceItemMarshaller.scala | 147 + .../slice/SliceTransportMarshaller.scala | 26 + .../marshaller/response/urp/BUILD | 22 + .../response/urp/PageBodyMarshaller.scala | 21 + .../response/urp/PageHeaderMarshaller.scala | 17 + .../response/urp/PageNavBarMarshaller.scala | 21 + .../urp/SegmentedTimelineMarshaller.scala | 21 + .../urp/SegmentedTimelinesMarshaller.scala | 17 + .../response/urp/TimelineKeyMarshaller.scala | 54 + .../response/urp/TitleNavBarMarshaller.scala | 19 + ...TopicPageHeaderDisplayTypeMarshaller.scala | 19 + .../TopicPageHeaderFacepileMarshaller.scala | 18 + .../urp/TopicPageHeaderMarshaller.scala | 25 + .../urp/TopicPageNavBarMarshaller.scala | 18 + .../response/urp/UrpTransportMarshaller.scala | 29 + .../urp/UrpTransportMarshallerBuilder.scala | 65 + .../urt/AddEntriesInstructionMarshaller.scala | 15 + .../AddToModuleInstructionMarshaller.scala | 17 + .../marshaller/response/urt/BUILD | 40 + .../response/urt/CoverMarshaller.scala | 32 + ...rkEntriesUnreadInstructionMarshaller.scala | 13 + .../response/urt/ModuleItemMarshaller.scala | 23 + .../urt/ModuleItemTreeDisplayMarshaller.scala | 20 + .../urt/PinEntryInstructionMarshaller.scala | 15 + .../urt/ReaderModeConfigMarshaller.scala | 17 + .../ReplaceEntryInstructionMarshaller.scala | 26 + .../urt/ShowAlertInstructionMarshaller.scala | 41 + ...rminateTimelineInstructionMarshaller.scala | 22 + .../urt/TimelineEntryContentMarshaller.scala | 25 + .../urt/TimelineEntryMarshaller.scala | 22 + .../urt/TimelineInstructionMarshaller.scala | 50 + .../urt/TimelineItemContentMarshaller.scala | 130 + .../response/urt/TimelineItemMarshaller.scala | 22 + .../urt/TimelineMetadataMarshaller.scala | 18 + .../urt/TimelineModuleMarshaller.scala | 36 + .../urt/TimelineOperationMarshaller.scala | 24 + .../urt/TimelineScribeConfigMarshaller.scala | 17 + .../response/urt/UrtTransportMarshaller.scala | 101 + .../urt/UrtTransportMarshallerBuilder.scala | 711 ++++ .../marshaller/response/urt/alert/BUILD | 25 + ...howAlertColorConfigurationMarshaller.scala | 19 + .../ShowAlertDisplayLocationMarshaller.scala | 19 + .../ShowAlertIconDisplayInfoMarshaller.scala | 21 + .../urt/alert/ShowAlertIconMarshaller.scala | 17 + ...howAlertNavigationMetadataMarshaller.scala | 14 + .../urt/alert/ShowAlertTypeMarshaller.scala | 17 + .../marshaller/response/urt/button/BUILD | 21 + .../urt/button/ButtonStyleMarshaller.scala | 29 + .../urt/button/CtaButtonMarshaller.scala | 19 + .../urt/button/IconCtaButtonMarshaller.scala | 21 + .../urt/button/TextCtaButtonMarshaller.scala | 18 + .../marshaller/response/urt/color/BUILD | 17 + .../response/urt/color/ColorMarshaller.scala | 16 + .../urt/color/ColorPaletteMarshaller.scala | 16 + .../urt/color/RosettaColorMarshaller.scala | 48 + .../marshaller/response/urt/cover/BUILD | 28 + .../urt/cover/CoverContentMarshaller.scala | 19 + .../cover/CoverCtaBehaviorMarshaller.scala | 25 + .../urt/cover/CoverCtaMarshaller.scala | 28 + .../urt/cover/CoverImageMarshaller.scala | 23 + .../cover/FullCoverContentMarshaller.scala | 37 + .../FullCoverDisplayTypeMarshaller.scala | 16 + .../cover/HalfCoverContentMarshaller.scala | 33 + .../HalfCoverDisplayTypeMarshaller.scala | 18 + .../marshaller/response/urt/icon/BUILD | 17 + .../urt/icon/HorizonIconMarshaller.scala | 52 + .../marshaller/response/urt/item/BUILD | 28 + .../ArticleDisplayTypeMarshaller.scala | 15 + .../item/article/ArticleItemMarshaller.scala | 23 + .../article/ArticleSeedTypeMarshaller.scala | 20 + .../AudioSpaceItemMarshaller.scala | 17 + .../item/card/CardDisplayTypeMarshaller.scala | 16 + .../urt/item/card/CardItemMarshaller.scala | 25 + .../CommerceProductGroupItemMarshaller.scala | 14 + .../CommerceProductItemMarshaller.scala | 13 + .../ConversationAnnotationMarshaller.scala | 22 + ...ConversationAnnotationTypeMarshaller.scala | 20 + .../EventSummaryDisplayTypeMarshaller.scala | 24 + .../event/EventSummaryItemMarshaller.scala | 27 + .../ForwardPivotDisplayTypeMarshaller.scala | 20 + .../ForwardPivotMarshaller.scala | 35 + ...oftInterventionDisplayTypeMarshaller.scala | 24 + .../GenericSummaryActionMarshaller.scala | 20 + .../GenericSummaryContextMarshaller.scala | 20 + .../GenericSummaryDisplayTypeMarshaller.scala | 18 + .../GenericSummaryItemMarshaller.scala | 33 + .../HighlightedSectionMarshaller.scala | 16 + .../icon_label/IconLabelItemMarshaller.scala | 22 + .../label/LabelDisplayTypeMarshaller.scala | 15 + .../urt/item/label/LabelItemMarshaller.scala | 25 + ...ompactPromptMessageContentMarshaller.scala | 29 + ...rImagePromptMessageContentMarshaller.scala | 33 + ...InlinePromptMessageContentMarshaller.scala | 32 + .../message/MessageActionMarshaller.scala | 25 + .../message/MessageActionTypeMarshaller.scala | 15 + .../message/MessageContentMarshaller.scala | 25 + .../item/message/MessageImageMarshaller.scala | 19 + .../message/MessagePromptItemMarshaller.scala | 23 + .../message/MessageTextActionMarshaller.scala | 17 + .../UserFacepileDisplayTypeMarshaller.scala | 18 + .../item/message/UserFacepileMarshaller.scala | 23 + .../MomentAnnotationItemMarshaller.scala | 20 + .../item/prompt/PromptContentMarshaller.scala | 17 + .../item/prompt/PromptItemMarshaller.scala | 26 + .../RelevancePromptContentMarshaller.scala | 29 + ...RelevancePromptDisplayTypeMarshaller.scala | 18 + ...PromptFollowUpFeedbackTypeMarshaller.scala | 19 + ...ncePromptFollowUpTextInputMarshaller.scala | 20 + .../SpellingActionTypeMarshaller.scala | 16 + .../suggestion/SpellingItemMarshaller.scala | 22 + .../suggestion/TextResultMarshaller.scala | 25 + .../ThreadHeaderContentMarshaller.scala | 14 + .../thread/ThreadHeaderItemMarshaller.scala | 18 + .../CallToActionTileContentMarshaller.scala | 21 + .../tile/StandardTileContentMarshaller.scala | 19 + .../urt/item/tile/TileContentMarshaller.scala | 21 + .../urt/item/tile/TileItemMarshaller.scala | 28 + .../TombstoneDisplayTypeMarshaller.scala | 24 + .../tombstone/TombstoneInfoMarshaller.scala | 18 + .../tombstone/TombstoneItemMarshaller.scala | 23 + .../topic/TopicDisplayTypeMarshaller.scala | 21 + ...picFollowPromptDisplayTypeMarshaller.scala | 21 + .../TopicFollowPromptItemMarshaller.scala | 22 + .../TopicFunctionalityTypeMarshaller.scala | 20 + .../urt/item/topic/TopicItemMarshaller.scala | 26 + .../urt/item/trend/TrendItemMarshaller.scala | 37 + .../tweet/TimelinesScoreInfoMarshaller.scala | 13 + .../tweet/TweetDisplayTypeMarshaller.scala | 25 + .../tweet/TweetHighlightsMarshaller.scala | 22 + .../urt/item/tweet/TweetItemMarshaller.scala | 52 + .../TweetComposerDisplayTypeMarshaller.scala | 18 + .../TweetComposerItemMarshaller.scala | 22 + .../TwitterListDisplayTypeMarshaller.scala | 22 + .../TwitterListItemMarshaller.scala | 19 + .../item/user/UserDisplayTypeMarshaller.scala | 20 + .../urt/item/user/UserItemMarshaller.scala | 28 + .../user/UserReactiveTriggersMarshaller.scala | 17 + .../VerticalGridItemContentMarshaller.scala | 17 + .../VerticalGridItemMarshaller.scala | 18 + .../VerticalGridItemTileStyleMarshaller.scala | 20 + ...ItemTopicFunctionalityTypeMarshaller.scala | 21 + .../VerticalGridItemTopicTileMarshaller.scala | 28 + .../urt/media/AspectRatioMarshaller.scala | 15 + .../marshaller/response/urt/media/BUILD | 17 + .../urt/media/BroadcastIdMarshaller.scala | 14 + .../urt/media/MediaEntityMarshaller.scala | 23 + .../urt/media/MediaKeyMarshaller.scala | 15 + .../response/urt/media/MediaMarshaller.scala | 23 + .../response/urt/media/RectMarshaller.scala | 17 + .../urt/media/TweetMediaMarshaller.scala | 15 + .../metadata/ArticleDetailsMarshaller.scala | 15 + .../marshaller/response/urt/metadata/BUILD | 21 + .../urt/metadata/BadgeMarshaller.scala | 18 + .../urt/metadata/CallbackMarshaller.scala | 14 + .../ChildFeedbackActionMarshaller.scala | 33 + .../ClientEventDetailsMarshaller.scala | 26 + .../metadata/ClientEventInfoMarshaller.scala | 21 + .../metadata/CommerceDetailsMarshaller.scala | 18 + .../ConfirmationDisplayTypeMarshaller.scala | 18 + .../ConversationDetailsMarshaller.scala | 15 + .../ConversationSectionMarshaller.scala | 21 + .../urt/metadata/DismissInfoMarshaller.scala | 13 + .../metadata/FeedbackActionMarshaller.scala | 48 + .../FeedbackDisplayContextMarshaller.scala | 15 + .../urt/metadata/FeedbackInfoMarshaller.scala | 22 + .../urt/metadata/FeedbackTypeMarshaller.scala | 27 + .../metadata/GeneralContextMarshaller.scala | 24 + .../GeneralContextTypeMarshaller.scala | 35 + .../ImageAnimationTypeMarshaller.scala | 16 + .../metadata/ImageDisplayTypeMarshaller.scala | 20 + .../urt/metadata/ImageVariantMarshaller.scala | 19 + .../metadata/LiveEventDetailsMarshaller.scala | 14 + .../RichFeedbackBehaviorMarshaller.scala | 55 + .../metadata/SocialContextMarshaller.scala | 22 + .../metadata/TimelinesDetailsMarshaller.scala | 16 + ...icContextFunctionalityTypeMarshaller.scala | 20 + .../urt/metadata/TopicContextMarshaller.scala | 21 + .../response/urt/metadata/UrlMarshaller.scala | 18 + .../urt/metadata/UrlTypeMarshaller.scala | 19 + .../UrtEndpointOptionsMarshaller.scala | 18 + .../marshaller/response/urt/operation/BUILD | 17 + .../CursorDisplayTreatmentMarshaller.scala | 16 + .../urt/operation/CursorItemMarshaller.scala | 21 + .../operation/CursorOperationMarshaller.scala | 21 + .../urt/operation/CursorTypeMarshaller.scala | 38 + .../AdMetadataContainerMarshaller.scala | 26 + .../marshaller/response/urt/promoted/BUILD | 17 + .../urt/promoted/CallToActionMarshaller.scala | 15 + .../ClickTrackingInfoMarshaller.scala | 18 + .../promoted/DisclaimerTypeMarshaller.scala | 17 + .../promoted/DisclosureTypeMarshaller.scala | 21 + .../DynamicPrerollTypeMarshaller.scala | 20 + .../urt/promoted/MediaInfoMarshaller.scala | 24 + .../urt/promoted/PrerollMarshaller.scala | 19 + .../promoted/PrerollMetadataMarshaller.scala | 16 + .../promoted/PromotedMetadataMarshaller.scala | 35 + .../promoted/SkAdNetworkDataMarshaller.scala | 23 + .../promoted/SponsorshipTypeMarshaller.scala | 19 + .../promoted/UrlOverrideTypeMarshaller.scala | 17 + .../promoted/VideoVariantsMarshaller.scala | 17 + .../marshaller/response/urt/reaction/BUILD | 17 + .../reaction/TimelineReactionMarshaller.scala | 28 + .../marshaller/response/urt/richtext/BUILD | 21 + .../richtext/ReferenceObjectMarshaller.scala | 31 + .../RichTextAlignmentMarshaller.scala | 17 + .../richtext/RichTextEntityMarshaller.scala | 19 + .../richtext/RichTextFormatMarshaller.scala | 17 + .../urt/richtext/RichTextMarshaller.scala | 19 + .../AdsMetadataMarshaller.scala | 13 + .../response/urt/timeline_module/BUILD | 19 + .../GridCarouselMetadataMarshaller.scala | 13 + ...ModuleConversationMetadataMarshaller.scala | 20 + .../ModuleDisplayTypeMarshaller.scala | 29 + .../ModuleFooterMarshaller.scala | 16 + .../ModuleHeaderDisplayTypeMarshaller.scala | 21 + .../ModuleHeaderMarshaller.scala | 26 + .../ModuleMetadataMarshaller.scala | 21 + .../ModuleShowMoreBehaviorMarshaller.scala | 19 + ...wMoreBehaviorRevealByCountMarshaller.scala | 20 + .../functional_component/premarshaller/BUILD | 17 + .../premarshaller/DomainMarshaller.scala | 66 + .../core/functional_component/scorer/BUILD | 23 + .../scorer/ScoredCandidateResult.scala | 13 + .../functional_component/scorer/Scorer.scala | 36 + .../core/functional_component/selector/BUILD | 19 + .../selector/Selector.scala | 24 + .../selector/SelectorResult.scala | 11 + .../functional_component/side_effect/BUILD | 19 + .../side_effect/ExecuteSynchronously.scala | 22 + .../PipelineResultSideEffect.scala | 60 + .../side_effect/SideEffect.scala | 28 + .../functional_component/transformer/BUILD | 23 + .../CandidateFeatureTransformer.scala | 8 + .../CandidatePipelineQueryTransformer.scala | 85 + .../CandidatePipelineResultsTransformer.scala | 45 + .../transformer/FeatureTransformer.scala | 27 + .../transformer/Transformer.scala | 15 + .../com/twitter/product_mixer/core/gate/BUILD | 15 + .../core/gate/DenyLoggedOutUsersGate.scala | 31 + .../product_mixer/core/gate/ParamGate.scala | 22 + .../core/gate/ParamNotGate.scala | 14 + .../product_mixer/core/model/common/BUILD | 25 + .../model/common/CandidateWithFeatures.scala | 18 + .../core/model/common/Component.scala | 18 + .../core/model/common/Conditionally.scala | 57 + .../core/model/common/UniversalNoun.scala | 8 + .../core/model/common/identifier/BUILD | 15 + .../CandidatePipelineIdentifier.scala | 70 + .../CandidateSourceIdentifier.scala | 70 + .../identifier/ComponentIdentifier.scala | 111 + .../ComponentIdentifierSerializer.scala | 21 + .../identifier/ComponentIdentifierStack.scala | 64 + .../ComponentIdentifierStackSerializer.scala | 14 + .../identifier/DecoratorIdentifier.scala | 70 + .../DomainMarshallerIdentifier.scala | 70 + .../FeatureHydratorIdentifier.scala | 70 + .../common/identifier/FilterIdentifier.scala | 70 + .../common/identifier/GateIdentifier.scala | 70 + .../identifier/MixerPipelineIdentifier.scala | 70 + .../identifier/PipelineStepIdentifier.scala | 90 + .../identifier/PlatformIdentifier.scala | 70 + .../common/identifier/ProductIdentifier.scala | 70 + .../ProductPipelineIdentifier.scala | 70 + .../RecommendationPipelineIdentifier.scala | 74 + .../common/identifier/RootIdentifier.scala | 66 + .../common/identifier/ScorerIdentifier.scala | 70 + .../ScoringPipelineIdentifier.scala | 70 + .../identifier/SelectorIdentifier.scala | 79 + .../identifier/SideEffectIdentifier.scala | 70 + .../identifier/TransformerIdentifier.scala | 70 + .../TransportMarshallerIdentifier.scala | 70 + .../core/model/common/presentation/BUILD | 19 + .../presentation/CandidateFeatures.scala | 32 + .../presentation/CandidateWithDetails.scala | 140 + .../presentation/ItemPresentation.scala | 6 + .../presentation/ModulePresentation.scala | 3 + .../presentation/UniversalPresentation.scala | 16 + .../model/common/presentation/slice/BUILD | 15 + .../slice/BaseSliceItemPresentation.scala | 8 + .../core/model/common/presentation/urt/BUILD | 15 + .../urt/BaseUrtItemPresentation.scala | 9 + .../urt/BaseUrtModulePresentation.scala | 8 + .../urt/BaseUrtOperationPresentation.scala | 9 + .../presentation/urt/IsDispensable.scala | 14 + .../urt/WithItemTreeDisplay.scala | 11 + .../core/model/marshalling/BUILD | 8 + .../model/marshalling/HasMarshalling.scala | 3 + .../core/model/marshalling/request/BUILD | 24 + .../marshalling/request/ClientContext.scala | 94 + .../marshalling/request/DebugOptions.scala | 15 + .../marshalling/request/DebugParams.scala | 8 + .../marshalling/request/HasExcludedIds.scala | 8 + .../request/HasSerializedRequestCursor.scala | 11 + .../model/marshalling/request/Product.scala | 25 + .../marshalling/request/ProductContext.scala | 7 + .../model/marshalling/request/Request.scala | 10 + .../response/rtf/safety_level/BUILD | 13 + .../rtf/safety_level/SafetyLevel.scala | 13 + .../model/marshalling/response/slice/BUILD | 13 + .../response/slice/SliceItem.scala | 84 + .../core/model/marshalling/response/urp/BUILD | 15 + .../model/marshalling/response/urp/Page.scala | 12 + .../marshalling/response/urp/PageBody.scala | 10 + .../marshalling/response/urp/PageHeader.scala | 15 + .../marshalling/response/urp/PageNavBar.scala | 19 + .../response/urp/SegmentedTimeline.scala | 10 + .../response/urp/TimelineKey.scala | 32 + .../urp/TopicPageHeaderDisplayType.scala | 6 + .../urp/TopicPageHeaderFacepile.scala | 7 + .../core/model/marshalling/response/urt/BUILD | 24 + .../marshalling/response/urt/Cover.scala | 3 + .../response/urt/EntryNamespace.scala | 50 + .../response/urt/HasEntryIdentifier.scala | 8 + .../response/urt/HasExpirationTime.scala | 9 + .../response/urt/HasSortIndex.scala | 7 + .../response/urt/ModuleItemTreeDisplay.scala | 9 + .../response/urt/ReaderModeConfig.scala | 5 + .../marshalling/response/urt/ShowAlert.scala | 46 + .../marshalling/response/urt/Timeline.scala | 10 + .../response/urt/TimelineEntry.scala | 56 + .../response/urt/TimelineInstruction.scala | 65 + .../response/urt/TimelineMetadata.scala | 6 + .../response/urt/TimelineScribeConfig.scala | 6 + .../marshalling/response/urt/alert/BUILD | 19 + .../alert/ShowAlertColorConfiguration.scala | 9 + .../urt/alert/ShowAlertDisplayLocation.scala | 5 + .../response/urt/alert/ShowAlertIcon.scala | 5 + .../urt/alert/ShowAlertIconDisplayInfo.scala | 5 + .../alert/ShowAlertNavigationMetadata.scala | 3 + .../response/urt/alert/ShowAlertType.scala | 5 + .../marshalling/response/urt/button/BUILD | 15 + .../response/urt/button/ButtonStyle.scala | 12 + .../response/urt/button/CtaButton.scala | 11 + .../marshalling/response/urt/color/BUILD | 8 + .../response/urt/color/Color.scala | 7 + .../response/urt/color/ColorPalette.scala | 5 + .../response/urt/color/RosettaColor.scala | 47 + .../response/urt/contextual_ref/BUILD | 15 + .../contextual_ref/ContextualTweetRef.scala | 5 + .../contextual_ref/OuterTweetContext.scala | 6 + .../TweetHydrationContext.scala | 7 + .../marshalling/response/urt/cover/BUILD | 16 + .../response/urt/cover/CoverContent.scala | 34 + .../response/urt/cover/CoverCta.scala | 14 + .../response/urt/cover/CoverCtaBehavior.scala | 9 + .../response/urt/cover/CoverImage.scala | 10 + .../urt/cover/FullCoverDisplayType.scala | 5 + .../urt/cover/HalfCoverDisplayType.scala | 6 + .../response/urt/cover/ShowCover.scala | 49 + .../model/marshalling/response/urt/icon/BUILD | 9 + .../response/urt/icon/HorizonIcon.scala | 43 + .../model/marshalling/response/urt/item/BUILD | 24 + .../urt/item/article/ArticleDisplayType.scala | 5 + .../urt/item/article/ArticleItem.scala | 26 + .../urt/item/article/ArticleSeedType.scala | 18 + .../urt/item/audio_space/AudioSpaceItem.scala | 22 + .../urt/item/card/CardDisplayType.scala | 7 + .../response/urt/item/card/CardItem.scala | 28 + .../commerce/CommerceProductGroupItem.scala | 23 + .../item/commerce/CommerceProductItem.scala | 23 + .../ConversationAnnotation.scala | 8 + .../ConversationAnnotationType.scala | 6 + .../item/event/EventSummaryDisplayType.scala | 7 + .../urt/item/event/EventSummaryItem.scala | 30 + .../urt/item/forward_pivot/ForwardPivot.scala | 18 + .../ForwardPivotDisplayType.scala | 7 + .../SoftInterventionDisplayType.scala | 8 + .../GenericSummaryAction.scala | 8 + .../GenericSummaryContext.scala | 8 + .../GenericSummaryDisplayType.scala | 5 + .../generic_summary/GenericSummaryItem.scala | 34 + .../item/highlight/HighlightedSection.scala | 3 + .../urt/item/icon_label/IconLabelItem.scala | 26 + .../urt/item/label/LabelDisplayType.scala | 6 + .../response/urt/item/label/LabelItem.scala | 28 + .../urt/item/message/MessageAction.scala | 10 + .../urt/item/message/MessageActionType.scala | 5 + .../urt/item/message/MessageContent.scala | 38 + .../urt/item/message/MessageImage.scala | 7 + .../urt/item/message/MessagePromptItem.scala | 27 + .../urt/item/message/MessageTextAction.scala | 5 + .../urt/item/message/UserFacepile.scala | 9 + .../message/UserFacepileDisplayType.scala | 6 + .../item/moment/MomentAnnotationItem.scala | 33 + .../urt/item/prompt/PromptContent.scala | 28 + .../response/urt/item/prompt/PromptItem.scala | 26 + .../prompt/RelevancePromptDisplayType.scala | 13 + .../RelevancePromptFollowUpFeedbackType.scala | 16 + .../item/suggestion/SpellingActionType.scala | 26 + .../urt/item/suggestion/SpellingItem.scala | 32 + .../urt/item/suggestion/TextResult.scala | 14 + .../urt/item/thread/ThreadHeaderContent.scala | 5 + .../urt/item/thread/ThreadHeaderItem.scala | 24 + .../response/urt/item/tile/TileContent.scala | 21 + .../response/urt/item/tile/TileItem.scala | 29 + .../item/tombstone/TombstoneDisplayType.scala | 9 + .../urt/item/tombstone/TombstoneInfo.scala | 8 + .../urt/item/tombstone/TombstoneItem.scala | 26 + .../urt/item/topic/TopicDisplayType.scala | 8 + .../topic/TopicFollowPromptDisplayType.scala | 6 + .../item/topic/TopicFollowPromptItem.scala | 26 + .../item/topic/TopicFunctionalityType.scala | 7 + .../response/urt/item/topic/TopicItem.scala | 24 + .../response/urt/item/trend/TrendItem.scala | 35 + .../urt/item/tweet/TimelinesScoreInfo.scala | 3 + .../urt/item/tweet/TweetDisplayType.scala | 16 + .../urt/item/tweet/TweetHighlights.scala | 8 + .../response/urt/item/tweet/TweetItem.scala | 62 + .../TweetComposerDisplayType.scala | 6 + .../tweet_composer/TweetComposerItem.scala | 26 + .../twitter_list/TwitterListDisplayType.scala | 8 + .../item/twitter_list/TwitterListItem.scala | 23 + .../urt/item/user/UserDisplayType.scala | 7 + .../response/urt/item/user/UserItem.scala | 30 + .../urt/item/user/UserReactiveTriggers.scala | 5 + .../vertical_grid_item/VerticalGridItem.scala | 29 + .../VerticalGridItemTileStyle.scala | 6 + ...rticalGridItemTopicFunctionalityType.scala | 8 + .../response/urt/media/AspectRatio.scala | 5 + .../marshalling/response/urt/media/BUILD | 13 + .../response/urt/media/Media.scala | 7 + .../response/urt/media/MediaEntity.scala | 14 + .../response/urt/media/MediaKey.scala | 5 + .../marshalling/response/urt/media/Rect.scala | 7 + .../urt/metadata/ArticleDetails.scala | 5 + .../marshalling/response/urt/metadata/BUILD | 17 + .../response/urt/metadata/Badge.scala | 8 + .../response/urt/metadata/Callback.scala | 3 + .../urt/metadata/ClientEventInfo.scala | 29 + .../urt/metadata/CommerceDetails.scala | 8 + .../metadata/ConfirmationDisplayType.scala | 6 + .../urt/metadata/ConversationDetails.scala | 3 + .../urt/metadata/ConversationSection.scala | 8 + .../response/urt/metadata/DismissInfo.scala | 3 + .../urt/metadata/FeedbackAction.scala | 29 + .../urt/metadata/FeedbackActionInfo.scala | 15 + .../response/urt/metadata/FeedbackInfo.scala | 13 + .../response/urt/metadata/FeedbackType.scala | 18 + .../urt/metadata/ImageAnimationType.scala | 5 + .../urt/metadata/ImageDisplayType.scala | 7 + .../response/urt/metadata/ImageVariant.scala | 9 + .../urt/metadata/LiveEventDetails.scala | 3 + .../urt/metadata/MarkUnreadableEntry.scala | 6 + .../response/urt/metadata/PinnableEntry.scala | 5 + .../urt/metadata/ReplaceableEntry.scala | 5 + .../response/urt/metadata/ReplyPinState.scala | 7 + .../urt/metadata/RichFeedbackBehavior.scala | 15 + .../response/urt/metadata/SocialContext.scala | 49 + .../urt/metadata/TimelinesDetails.scala | 6 + .../response/urt/metadata/Url.scala | 17 + .../marshalling/response/urt/operation/BUILD | 15 + .../operation/CursorDisplayTreatment.scala | 5 + .../response/urt/operation/CursorItem.scala | 31 + .../urt/operation/CursorOperation.scala | 31 + .../response/urt/operation/CursorType.scala | 37 + .../urt/promoted/AdMetadataContainer.scala | 11 + .../marshalling/response/urt/promoted/BUILD | 11 + .../response/urt/promoted/CallToAction.scala | 5 + .../urt/promoted/ClickTrackingInfo.scala | 8 + .../urt/promoted/DisclaimerType.scala | 6 + .../urt/promoted/DisclosureType.scala | 8 + .../urt/promoted/DynamicPrerollType.scala | 7 + .../response/urt/promoted/MediaInfo.scala | 11 + .../response/urt/promoted/Preroll.scala | 6 + .../urt/promoted/PrerollMetadata.scala | 5 + .../urt/promoted/PromotedMetadata.scala | 23 + .../urt/promoted/SkAdNetworkData.scala | 13 + .../urt/promoted/SponsorshipType.scala | 7 + .../urt/promoted/UrlOverrideType.scala | 6 + .../response/urt/promoted/VideoVariant.scala | 6 + .../marshalling/response/urt/reaction/BUILD | 11 + .../urt/reaction/TimelineReaction.scala | 5 + .../reaction/TimelineReactionExecution.scala | 10 + .../marshalling/response/urt/richtext/BUILD | 11 + .../urt/richtext/ReferenceObject.scala | 9 + .../response/urt/richtext/RichText.scala | 7 + .../urt/richtext/RichTextAlignment.scala | 6 + .../urt/richtext/RichTextEntity.scala | 7 + .../urt/richtext/RichTextFormat.scala | 13 + .../urt/timeline_module/AdsMetadata.scala | 3 + .../response/urt/timeline_module/BUILD | 13 + .../GridCarouselMetadata.scala | 3 + .../ModuleConversationMetadata.scala | 8 + .../timeline_module/ModuleDisplayType.scala | 12 + .../urt/timeline_module/ModuleFooter.scala | 7 + .../urt/timeline_module/ModuleHeader.scala | 13 + .../ModuleHeaderDisplayType.scala | 7 + .../urt/timeline_module/ModuleMetadata.scala | 11 + .../ModuleShowMoreBehavior.scala | 8 + .../core/module/ABDeciderModule.scala | 51 + .../twitter/product_mixer/core/module/BUILD | 49 + .../core/module/ConfigApiModule.scala | 21 + .../core/module/FeatureSwitchesModule.scala | 53 + .../LoggingThrowableExceptionMapper.scala | 24 + .../PipelineExecutionLoggerModule.scala | 12 + .../core/module/ProductMixerModule.scala | 30 + .../core/module/StratoClientModule.scala | 39 + .../core/module/product_mixer_flags/BUILD | 15 + .../ProductMixerFlagModule.scala | 74 + .../core/module/stringcenter/BUILD | 25 + .../ProductScopeStringCenterModule.scala | 135 + .../twitter/product_mixer/core/pipeline/BUILD | 92 + .../pipeline/CandidatePipelineFeatures.scala | 7 + .../core/pipeline/FailOpenPolicy.scala | 42 + .../pipeline/InvalidStepStateException.scala | 8 + .../pipeline/NewPipelineArrowBuilder.scala | 181 + .../core/pipeline/NewPipelineBuilder.scala | 31 + .../core/pipeline/NewPipelineResult.scala | 22 + .../core/pipeline/NewStepData.scala | 13 + .../core/pipeline/Pipeline.scala | 46 + .../core/pipeline/PipelineBuilder.scala | 194 + .../core/pipeline/PipelineConfig.scala | 20 + .../core/pipeline/PipelineCursor.scala | 38 + .../pipeline/PipelineCursorSerializer.scala | 57 + .../core/pipeline/PipelineQuery.scala | 32 + .../core/pipeline/PipelineResult.scala | 59 + .../core/pipeline/candidate/BUILD | 77 + .../candidate/CandidatePipeline.scala | 30 + .../candidate/CandidatePipelineBuilder.scala | 735 ++++ .../CandidatePipelineBuilderFactory.scala | 56 + .../candidate/CandidatePipelineConfig.scala | 264 ++ .../candidate/CandidatePipelineResult.scala | 93 + .../PassthroughCandidatePipelineConfig.scala | 47 + .../StaticCandidatePipelineConfig.scala | 51 + .../product_mixer/core/pipeline/mixer/BUILD | 62 + .../core/pipeline/mixer/MixerPipeline.scala | 24 + .../pipeline/mixer/MixerPipelineBuilder.scala | 582 +++ .../mixer/MixerPipelineBuilderFactory.scala | 49 + .../pipeline/mixer/MixerPipelineConfig.scala | 175 + .../pipeline/mixer/MixerPipelineResult.scala | 70 + .../core/pipeline/pipeline_failure/BUILD | 14 + .../pipeline_failure/PipelineFailure.scala | 49 + .../PipelineFailureCategory.scala | 190 + .../PipelineFailureClassifier.scala | 13 + .../PipelineFailureSerializer.scala | 67 + .../product_mixer/core/pipeline/product/BUILD | 51 + .../pipeline/product/ProductPipeline.scala | 28 + .../product/ProductPipelineBuilder.scala | 385 ++ .../ProductPipelineBuilderFactory.scala | 39 + .../product/ProductPipelineConfig.scala | 107 + .../product/ProductPipelineRequest.scala | 5 + .../product/ProductPipelineResult.scala | 62 + .../core/pipeline/recommendation/BUILD | 62 + .../RecommendationPipeline.scala | 29 + .../RecommendationPipelineBuilder.scala | 1076 +++++ ...RecommendationPipelineBuilderFactory.scala | 67 + .../RecommendationPipelineConfig.scala | 262 ++ .../RecommendationPipelineResult.scala | 84 + .../product_mixer/core/pipeline/scoring/BUILD | 36 + .../scoring/NewScoringPipelineBuilder.scala | 202 + .../pipeline/scoring/ScoringPipeline.scala | 32 + .../scoring/ScoringPipelineBuilder.scala | 367 ++ .../ScoringPipelineBuilderFactory.scala | 30 + .../scoring/ScoringPipelineConfig.scala | 131 + .../scoring/ScoringPipelineResult.scala | 51 + .../product_mixer/core/pipeline/state/BUILD | 33 + .../pipeline/state/HasAsyncFeatureMap.scala | 9 + .../core/pipeline/state/HasCandidates.scala | 8 + .../state/HasCandidatesWithDetails.scala | 11 + .../state/HasCandidatesWithFeatures.scala | 9 + .../pipeline/state/HasExecutorResults.scala | 13 + .../core/pipeline/state/HasParams.scala | 7 + .../core/pipeline/state/HasQuery.scala | 8 + .../core/pipeline/state/HasRequest.scala | 7 + .../core/pipeline/state/HasResult.scala | 10 + .../product_mixer/core/pipeline/step/BUILD | 17 + .../core/pipeline/step/Step.scala | 52 + .../AsyncFeatureMapStep.scala | 70 + .../step/async_feature_map/BUILD.bazel | 36 + .../step/candidate_feature_hydrator/BUILD | 36 + .../CandidateFeatureHydratorStep.scala | 71 + .../step/candidate_source/BUILD.bazel | 36 + .../CandidateSourceStep.scala | 84 + .../core/pipeline/step/decorator/BUILD.bazel | 36 + .../step/decorator/DecoratorStep.scala | 63 + .../step/domain_marshaller/BUILD.bazel | 30 + .../DomainMarshallerStep.scala | 54 + .../core/pipeline/step/filter/BUILD.bazel | 36 + .../pipeline/step/filter/FilterStep.scala | 64 + .../core/pipeline/step/gate/BUILD | 36 + .../core/pipeline/step/gate/GateStep.scala | 43 + .../pipeline/step/group_results/BUILD.bazel | 29 + .../step/group_results/GroupResultsStep.scala | 67 + .../step/pipeline_executor/BUILD.bazel | 32 + .../PipelineExecutorStep.scala | 81 + .../pipeline/step/pipeline_selector/BUILD | 26 + .../PipelineSelectorStep.scala | 43 + .../pipeline/step/quality_factor/BUILD.bazel | 31 + .../quality_factor/QualityFactorStep.scala | 72 + .../step/query_feature_hydrator/BUILD.bazel | 36 + .../QueryFeatureHydratorStep.scala | 59 + .../step/query_transformer/BUILD.bazel | 29 + .../QueryTransformerStep.scala | 52 + .../core/pipeline/step/scorer/BUILD | 36 + .../pipeline/step/scorer/ScorerStep.scala | 69 + .../core/pipeline/step/selector/BUILD | 36 + .../pipeline/step/selector/SelectorStep.scala | 53 + .../pipeline/step/side_effect/BUILD.bazel | 32 + .../step/side_effect/SideEffectStep.scala | 102 + .../step/transport_marshaller/BUILD.bazel | 31 + .../TransportMarshallerStep.scala | 76 + .../twitter/product_mixer/core/product/BUILD | 21 + .../core/product/ProductParamConfig.scala | 36 + .../product/ProductParamConfigBuilder.scala | 21 + .../product_mixer/core/product/guice/BUILD | 18 + .../core/product/guice/ProductScope.scala | 10 + .../product/guice/ProductScopeModule.scala | 27 + .../core/product/guice/SimpleScope.scala | 68 + .../product_mixer/core/product/registry/BUILD | 26 + .../registry/ProductParamRegistry.scala | 26 + .../registry/ProductPipelineRegistry.scala | 189 + .../ProductPipelineRegistryConfig.scala | 9 + .../product_mixer/core/quality_factor/BUILD | 18 + .../core/quality_factor/Bounds.scala | 33 + .../LinearLatencyQualityFactor.scala | 34 + .../LinearLatencyQualityFactorObserver.scala | 18 + .../core/quality_factor/QualityFactor.scala | 33 + .../quality_factor/QualityFactorConfig.scala | 120 + .../QualityFactorObserver.scala | 18 + .../quality_factor/QualityFactorStatus.scala | 60 + .../QueriesPerSecondBasedQualityFactor.scala | 51 + ...sPerSecondBasedQualityFactorObserver.scala | 21 + .../quality_factor/QueryRateCounter.scala | 21 + .../twitter/product_mixer/core/service/BUILD | 32 + .../product_mixer/core/service/Executor.scala | 700 +++ .../core/service/ExecutorObserver.scala | 146 + .../core/service/ExecutorResult.scala | 3 + .../AsyncFeatureMapExecutor.scala | 58 + .../service/async_feature_map_executor/BUILD | 19 + .../candidate_decorator_executor/BUILD | 22 + .../CandidateDecoratorExecutor.scala | 38 + .../CandidateDecoratorExecutorResult.scala | 6 + .../candidate_feature_hydrator_executor/BUILD | 25 + .../CandidateFeatureHydratorExecutor.scala | 277 ++ ...ndidateFeatureHydratorExecutorResult.scala | 20 + .../BUILD | 22 + .../CandidateFeatureTransformerExecutor.scala | 93 + ...dateFeatureTransformerExecutorResult.scala | 8 + .../service/candidate_pipeline_executor/BUILD | 27 + .../CandidatePipelineExecutor.scala | 82 + .../CandidatePipelineExecutorResult.scala | 8 + .../service/candidate_source_executor/BUILD | 35 + .../CandidateSourceExecutor.scala | 173 + .../CandidateSourceExecutorResult.scala | 10 + .../core/service/component_registry/BUILD | 16 + .../ComponentRegistry.scala | 182 + .../RegisteredComponent.scala | 15 + .../debug_query/AuthorizationService.scala | 82 + .../core/service/debug_query/BUILD | 20 + .../DebugQueryNotSupportedService.scala | 43 + .../debug_query/DebugQueryService.scala | 109 + .../debug_query/ParamsSerializerModule.scala | 35 + .../service/domain_marshaller_executor/BUILD | 23 + .../DomainMarshallerExecutor.scala | 44 + .../service/feature_hydrator_observer/BUILD | 21 + .../FeatureHydratorObserver.scala | 136 + .../core/service/filter_executor/BUILD | 24 + .../filter_executor/FilterExecutor.scala | 172 + .../FilterExecutorResult.scala | 18 + .../core/service/gate_executor/BUILD | 25 + .../gate_executor/ExecutedGateResult.scala | 6 + .../service/gate_executor/GateExecutor.scala | 107 + .../gate_executor/GateExecutorResult.scala | 7 + .../gate_executor/StoppedGateException.scala | 29 + .../core/service/group_results_executor/BUILD | 35 + .../GroupResultsExecutor.scala | 122 + .../AllowListedPipelineExecutionLogger.scala | 183 + .../service/pipeline_execution_logger/BUILD | 33 + .../PipelineExecutionLogger.scala | 7 + .../core/service/pipeline_executor/BUILD | 25 + .../pipeline_executor/PipelineExecutor.scala | 66 + .../PipelineExecutorResult.scala | 8 + .../BUILD | 24 + .../PipelineResultSideEffectExecutor.scala | 91 + .../service/pipeline_selector_executor/BUILD | 26 + .../PipelineSelectorExecutor.scala | 48 + .../PipelineSelectorExecutorResult.scala | 5 + .../service/quality_factor_executor/BUILD | 23 + .../QualityFactorExecutorResult.scala | 10 + ...idualFeatureHydratorResultSerializer.scala | 24 + .../query_feature_hydrator_executor/BUILD | 28 + .../QueryFeatureHydratorExecutor.scala | 217 + .../service/scoring_pipeline_executor/BUILD | 24 + .../ScoringPipelineExecutor.scala | 172 + .../ScoringPipelineExecutorResult.scala | 9 + .../core/service/selector_executor/BUILD | 26 + .../selector_executor/SelectorExecutor.scala | 105 + .../SelectorExecutorResult.scala | 12 + .../product_mixer/core/service/slice/BUILD | 22 + .../core/service/slice/SliceService.scala | 29 + .../core/service/transformer_executor/BUILD | 17 + .../PerCandidateTransformerExecutor.scala | 35 + .../TransformerExecutor.scala | 22 + .../transport_marshaller_executor/BUILD | 23 + .../TransportMarshallerExecutor.scala | 40 + .../product_mixer/core/service/urp/BUILD | 18 + .../core/service/urp/UrpService.scala | 26 + .../product_mixer/core/service/urt/BUILD | 20 + .../core/service/urt/UrtService.scala | 60 + .../com/twitter/product_mixer/core/util/BUILD | 24 + .../product_mixer/core/util/FuturePools.scala | 101 + .../core/util/OffloadFuturePools.scala | 59 + .../core/util/SortIndexBuilder.scala | 17 + .../shared_library/http_client/BUILD | 22 + .../FinagleHttpClientBuilder.scala | 57 + .../FinagleHttpClientWithProxyBuilder.scala | 97 + .../http_client/HttpHostPort.scala | 5 + .../shared_library/manhattan_client/BUILD | 24 + .../ManhattanClientBuilder.scala | 116 + .../shared_library/memcached_client/BUILD | 18 + .../MemcachedClientBuilder.scala | 117 + .../shared_library/observer/BUILD | 19 + .../shared_library/observer/Observer.scala | 203 + .../observer/ResultsObserver.scala | 281 ++ .../observer/ResultsStatsObserver.scala | 243 ++ .../shared_library/thrift_client/BUILD | 20 + .../FinagleThriftClientBuilder.scala | 198 + recos-injector/BUILD.bazel | 1 + recos-injector/CONFIG.ini | 10 + recos-injector/README.md | 44 + recos-injector/server/BUILD | 43 + recos-injector/server/config/BUILD | 20 + .../server/config/change_log_config.ini | 7 + recos-injector/server/config/decider.yml | 11 + .../scala/com/twitter/recosinjector/BUILD | 40 + .../com/twitter/recosinjector/Main.scala | 213 + .../com/twitter/recosinjector/clients/BUILD | 20 + .../recosinjector/clients/Gizmoduck.scala | 26 + .../clients/RecosHoseEntitiesCache.scala | 137 + .../recosinjector/clients/SocialGraph.scala | 80 + .../recosinjector/clients/Tweetypie.scala | 30 + .../recosinjector/clients/UrlResolver.scala | 105 + .../com/twitter/recosinjector/config/BUILD | 36 + .../recosinjector/config/CacheConfig.scala | 23 + .../twitter/recosinjector/config/Config.scala | 41 + .../recosinjector/config/DeployConfig.scala | 215 + .../recosinjector/config/ProdConfig.scala | 29 + .../recosinjector/config/StagingConfig.scala | 33 + .../com/twitter/recosinjector/decider/BUILD | 7 + .../decider/RecosInjectorDecider.scala | 33 + .../com/twitter/recosinjector/edges/BUILD | 23 + .../twitter/recosinjector/edges/Edges.scala | 87 + .../edges/EventToMessageBuilder.scala | 82 + ...cialWriteEventToUserUserGraphBuilder.scala | 73 + ...neEventToUserTweetEntityGraphBuilder.scala | 60 + ...TimelineEventToUserTweetGraphBuilder.scala | 54 + ...etEventToUserTweetEntityGraphBuilder.scala | 343 ++ .../TweetEventToUserTweetGraphBuilder.scala | 88 + .../TweetEventToUserUserGraphBuilder.scala | 65 + ...nifiedUserActionToUserAdGraphBuilder.scala | 44 + ...serActionToUserTweetGraphPlusBuilder.scala | 51 + ...iedUserActionToUserVideoGraphBuilder.scala | 56 + .../edges/UserTweetEntityEdgeBuilder.scala | 80 + .../recosinjector/event_processors/BUILD | 20 + .../event_processors/EventBusProcessor.scala | 60 + .../SocialWriteEventProcessor.scala | 33 + .../TimelineEventProcessor.scala | 150 + .../TweetEventProcessor.scala | 256 ++ .../com/twitter/recosinjector/filters/BUILD | 10 + .../filters/NullCastTweetFilter.scala | 34 + .../recosinjector/filters/TweetFilter.scala | 31 + .../recosinjector/filters/UserFilter.scala | 69 + .../twitter/recosinjector/publishers/BUILD | 12 + .../publishers/KafkaEventPublisher.scala | 54 + .../com/twitter/recosinjector/util/BUILD | 12 + .../recosinjector/util/EventDetails.scala | 126 + .../recosinjector/uua_processors/BUILD | 24 + .../UnifiedUserActionProcessor.scala | 181 + .../UnifiedUserActionsConsumer.scala | 71 + science/search/ingester/config/README.md | 2 + .../config/pipeline-indexer.userupdates.xml | 30 + .../config/pipeline-ingester.protected.xml | 202 + .../config/pipeline-ingester.realtime.xml | 240 ++ .../config/pipeline-ingester.realtime_cg.xml | 199 + simclusters-ann/BUILD.bazel | 1 + simclusters-ann/README.md | 99 + simclusters-ann/server/BUILD | 23 + .../server/src/main/resources/BUILD | 7 + .../src/main/resources/config/decider.yml | 95 + .../server/src/main/resources/logback.xml | 167 + .../scala/com/twitter/simclustersann/BUILD | 31 + .../simclustersann/SimclustersAnnServer.scala | 70 + .../SimclustersAnnWarmupHandler.scala | 73 + .../ApproximateCosineSimilarity.scala | 129 + .../simclustersann/candidate_source/BUILD | 14 + ...erimentalApproximateCosineSimilarity.scala | 131 + ...OptimizedApproximateCosineSimilarity.scala | 112 + .../SimClustersANNCandidateSource.scala | 102 + .../com/twitter/simclustersann/common/BUILD | 5 + .../simclustersann/common/FlagNames.scala | 31 + .../twitter/simclustersann/controllers/BUILD | 29 + .../SimClustersANNController.scala | 80 + .../twitter/simclustersann/exceptions/BUILD | 12 + ...estForSimClustersAnnVariantException.scala | 16 + ...SimClustersAnnVariantExceptionMapper.scala | 27 + ...figForSimClustersAnnVariantException.scala | 6 + .../com/twitter/simclustersann/filters/BUILD | 13 + ...etTweetCandidatesResponseStatsFilter.scala | 43 + .../filters/SimClustersAnnVariantFilter.scala | 53 + .../com/twitter/simclustersann/modules/BUILD | 24 + .../simclustersann/modules/CacheModule.scala | 34 + .../modules/ClusterConfigMapperModule.scala | 15 + .../modules/ClusterConfigModule.scala | 25 + .../ClusterTweetIndexProviderModule.scala | 95 + .../CustomMtlsThriftWebFormsModule.scala | 99 + .../modules/EmbeddingStoreModule.scala | 110 + .../simclustersann/modules/FlagsModule.scala | 44 + .../modules/FuturePoolProvider.scala | 27 + .../modules/RateLimiterModule.scala | 23 + .../modules/ServiceNameMapperModule.scala | 15 + .../SimClustersANNCandidateSourceModule.scala | 47 + .../modules/StratoClientProviderModule.scala | 20 + simclusters-ann/thrift/src/main/thrift/BUILD | 16 + .../src/main/thrift/simClustersAnn.thrift | 59 + src/java/com/twitter/search/README.md | 50 + src/java/com/twitter/search/common/README.md | 1 + .../search/common/converter/earlybird/BUILD | 57 + .../earlybird/BasicIndexingConverter.java | 647 +++ .../earlybird/CombinedIndexingConverter.java | 99 + .../earlybird/DelayedIndexingConverter.java | 594 +++ .../earlybird/EncodedFeatureBuilder.java | 531 +++ .../search/common/encoding/docvalues/BUILD | 20 + .../encoding/docvalues/CSFTypeUtil.java | 34 + .../search/common/encoding/features/BUILD | 17 + .../encoding/features/BinByteNormalizer.java | 73 + .../encoding/features/ByteNormalizer.java | 38 + .../features/ClampByteNormalizer.java | 47 + .../encoding/features/EncodedFeatures.java | 58 + .../encoding/features/IntNormalizer.java | 15 + .../features/IntegerEncodedFeatures.java | 159 + .../encoding/features/LogByteNormalizer.java | 53 + .../features/PredictionScoreNormalizer.java | 51 + .../SingleBytePositiveFloatNormalizer.java | 35 + .../features/SingleBytePositiveFloatUtil.java | 164 + .../features/SmartIntegerNormalizer.java | 150 + .../com/twitter/search/common/query/BUILD | 25 + .../search/common/query/BoostUtils.java | 27 + .../query/CollectAnnotationsVisitor.java | 92 + .../common/query/CollectQueryTypeVisitor.java | 89 + .../common/query/CollectVariantVisitor.java | 13 + .../common/query/DefaultFilterWeight.java | 60 + .../search/common/query/DocIdFilter.java | 74 + .../search/common/query/FieldRankHitInfo.java | 48 + .../search/common/query/FieldWeightUtil.java | 205 + .../search/common/query/FilteredQuery.java | 225 + .../search/common/query/FilteredScorer.java | 36 + .../common/query/HitAttributeCollector.java | 101 + .../common/query/HitAttributeHelper.java | 102 + .../common/query/HitAttributeProvider.java | 12 + .../common/query/IDDisjunctionQuery.java | 378 ++ .../common/query/IdentifiableQuery.java | 77 + .../common/query/IdentifiableQueryScorer.java | 60 + .../common/query/IdentifiableQueryWeight.java | 58 + .../search/common/query/MappableField.java | 34 + .../query/MultiTermDisjunctionQuery.java | 61 + .../query/QueryCommonFieldHitsVisitor.java | 160 + .../common/query/QueryHitAttributeHelper.java | 81 + .../search/common/query/QueryRankVisitor.java | 56 + .../query/SingleDocDocIdSetIterator.java | 51 + .../query/StaticHitAttributeProvider.java | 32 + .../com/twitter/search/common/relevance/BUILD | 257 ++ .../search/common/relevance/NGramCache.java | 152 + .../TrendsThriftDataServiceManager.java | 353 ++ .../classifiers/TweetClassifier.java | 118 + .../relevance/classifiers/TweetEvaluator.java | 37 + .../classifiers/TweetOffensiveEvaluator.java | 260 ++ .../TweetQualityFeatureExtractor.java | 105 + .../classifiers/TweetTextClassifier.java | 67 + .../classifiers/TweetTextEvaluator.java | 54 + .../classifiers/TweetTrendsExtractor.java | 165 + .../config/TweetProcessingConfig.java | 114 + .../common/relevance/entities/GeoObject.java | 201 + .../entities/PotentialLocationObject.java | 122 + .../relevance/entities/TwitterMessage.java | 1267 ++++++ .../entities/TwitterMessageUser.java | 231 + .../entities/TwitterMessageUtil.java | 444 ++ .../entities/TwitterQuotedMessage.java | 41 + .../entities/TwitterRetweetMessage.java | 80 + .../common/relevance/features/AgeDecay.java | 88 + .../search/common/relevance/features/BUILD | 24 + .../features/EarlybirdDocumentFeatures.java | 232 + .../relevance/features/FeatureSink.java | 75 + .../relevance/features/IntNormalizers.java | 39 + .../features/MutableFeatureNormalizers.java | 23 + .../relevance/features/QueryFeatureType.java | 9 + .../features/RelevanceSignalConstants.java | 30 + .../relevance/features/ScoringUtils.java | 24 + .../common/relevance/features/TermVector.java | 79 + .../features/TweetEngagementFeatures.java | 57 + .../relevance/features/TweetFeatureType.java | 291 ++ .../relevance/features/TweetFeatures.java | 19 + .../TweetIntegerShingleSignature.java | 201 + .../features/TweetSignatureUtil.java | 15 + .../relevance/features/TweetTextFeatures.java | 225 + .../relevance/features/TweetTextQuality.java | 69 + .../relevance/features/TweetUserFeatures.java | 114 + .../common/relevance/scorers/TweetScorer.java | 65 + .../relevance/scorers/TweetTextScorer.java | 242 ++ .../common/relevance/text/LocationUtils.java | 41 + .../common/relevance/text/TweetParser.java | 190 + .../text/VisibleTokenRatioNormalizer.java | 39 + .../search/common/schema/AnalyzerFactory.java | 142 + .../com/twitter/search/common/schema/BUILD | 34 + .../search/common/schema/DynamicSchema.java | 214 + .../search/common/schema/ImmutableSchema.java | 904 ++++ .../search/common/schema/NumericField.java | 44 + .../search/common/schema/SchemaBuilder.java | 693 +++ .../common/schema/SchemaDocumentFactory.java | 433 ++ .../search/common/schema/SchemaUtil.java | 102 + .../schema/SearchWhitespaceAnalyzer.java | 27 + .../common/schema/ThriftDocumentBuilder.java | 228 + .../twitter/search/common/schema/base/BUILD | 25 + .../schema/base/EarlybirdFieldType.java | 374 ++ .../schema/base/FeatureConfiguration.java | 316 ++ .../schema/base/FieldNameToIdMapping.java | 28 + .../schema/base/FieldWeightDefault.java | 110 + .../schema/base/ImmutableSchemaInterface.java | 14 + .../base/IndexedNumericFieldSettings.java | 37 + .../search/common/schema/base/Schema.java | 231 + .../schema/base/ThriftDocumentUtil.java | 146 + .../search/common/schema/earlybird/BUILD | 93 + .../schema/earlybird/EarlybirdCluster.java | 90 + .../earlybird/EarlybirdEncodedFeatures.java | 148 + .../EarlybirdEncodedFeaturesUtil.java | 36 + .../earlybird/EarlybirdFieldConstants.java | 1132 +++++ .../earlybird/EarlybirdSchemaBuilder.java | 96 + .../earlybird/EarlybirdSchemaCreateTool.java | 702 +++ .../EarlybirdThriftDocumentBuilder.java | 897 ++++ .../EarlybirdThriftDocumentUtil.java | 377 ++ .../common/schema/earlybird/FlushVersion.java | 336 ++ .../common/search/AndNotDocIdSetIterator.java | 71 + .../com/twitter/search/common/search/BUILD | 33 + .../DelegatingEarlyTerminationCollector.java | 75 + .../search/common/search/DocIdTracker.java | 12 + .../common/search/EarlyTerminationState.java | 51 + .../search/GeoQuadTreeQueryBuilderUtil.java | 65 + .../search/IntArrayDocIdSetIterator.java | 76 + .../common/search/PairDocIdSetIterator.java | 82 + .../common/search/QueryCostProvider.java | 9 + .../common/search/TerminationTracker.java | 202 + .../common/search/TwitterCollector.java | 31 + .../TwitterEarlyTerminationCollector.java | 328 ++ .../common/search/TwitterIndexSearcher.java | 189 + .../search/common/search/termination/BUILD | 20 + .../search/termination/QueryTimeout.java | 24 + .../termination/QueryTimeoutFactory.java | 34 + .../search/termination/QueryTimeoutImpl.java | 65 + .../search/termination/TerminationQuery.java | 66 + .../termination/TerminationQueryScorer.java | 91 + .../termination/TerminationQueryWeight.java | 53 + .../search/common/util/earlybird/BUILD | 32 + .../earlybird/EarlybirdResponseMergeUtil.java | 269 ++ .../util/earlybird/EarlybirdResponseUtil.java | 204 + .../util/earlybird/FacetsResultsUtils.java | 495 +++ .../util/earlybird/ResponseMergerUtils.java | 45 + .../common/util/earlybird/ResultsUtil.java | 36 + .../util/earlybird/TermStatisticsUtil.java | 47 + .../util/earlybird/ThriftSearchQueryUtil.java | 29 + .../earlybird/ThriftSearchResultUtil.java | 209 + ...ThriftSearchResultsRelevanceStatsUtil.java | 46 + .../com/twitter/search/common/util/lang/BUILD | 18 + .../common/util/lang/ThriftLanguageUtil.java | 141 + .../com/twitter/search/common/util/ml/BUILD | 16 + .../common/util/ml/EnumBasedLinearModel.java | 141 + .../search/common/util/ml/FeatureUtils.java | 120 + .../common/util/ml/MapBasedLinearModel.java | 32 + .../util/ml/StringMapBasedLinearModel.java | 125 + .../common/util/ml/models_manager/BUILD | 14 + .../ml/models_manager/BaseModelsManager.java | 293 ++ .../common/util/ml/prediction_engine/BUILD | 68 + .../BaseLegacyScoreAccumulator.java | 64 + .../prediction_engine/BaseModelBuilder.java | 111 + .../BaseScoreAccumulator.java | 48 + .../CompositeFeatureContext.java | 35 + .../DecisionForestModelsManager.java | 69 + .../prediction_engine/DiscretizedFeature.java | 47 + .../DiscretizedFeatureRange.java | 33 + .../prediction_engine/LegacyModelBuilder.java | 86 + .../LightweightLinearModel.java | 187 + .../ml/prediction_engine/ModelBuilder.java | 16 + .../ml/prediction_engine/ModelLoader.java | 178 + .../PredictionEngineModelsManager.java | 67 + .../SchemaBasedModelBuilder.java | 105 + .../SchemaBasedScoreAccumulator.java | 64 + .../common/util/ml/tensorflow_engine/BUILD | 21 + .../TensorflowModelsManager.java | 189 + .../com/twitter/search/core/earlybird/BUILD | 38 + .../twitter/search/core/earlybird/README.md | 21 + .../facets/AbstractFacetCountingArray.java | 231 + .../facets/CSFFacetCountIterator.java | 56 + .../facets/CompositeFacetCountIterator.java | 46 + .../facets/DummyFacetAccumulator.java | 28 + .../facets/EarlybirdFacetDocValueSet.java | 153 + .../earlybird/facets/EarlybirdFacets.java | 102 + .../facets/EarlybirdFacetsFactory.java | 48 + .../earlybird/facets/FacetAccumulator.java | 36 + .../facets/FacetCountAggregator.java | 93 + .../earlybird/facets/FacetCountIterator.java | 57 + .../facets/FacetCountIteratorFactory.java | 23 + .../earlybird/facets/FacetCountState.java | 88 + .../earlybird/facets/FacetCountingArray.java | 156 + .../facets/FacetCountingArrayWriter.java | 55 + .../core/earlybird/facets/FacetIDMap.java | 161 + .../earlybird/facets/FacetLabelProvider.java | 206 + .../facets/FacetResponseRewriter.java | 16 + .../earlybird/facets/FacetTermCollector.java | 16 + .../core/earlybird/facets/FacetUtil.java | 106 + .../earlybird/facets/LanguageHistogram.java | 104 + .../facets/OptimizedFacetCountingArray.java | 82 + .../facets/PerfieldFacetCountAggregator.java | 96 + .../SortedSetDocValuesFacetsFactory.java | 45 + .../SortedSetDocValuesReaderStateHelper.java | 14 + .../earlybird/index/DocIDToTweetIDMapper.java | 79 + .../EarlybirdIndexSegmentAtomicReader.java | 139 + .../index/EarlybirdIndexSegmentData.java | 474 +++ .../index/EarlybirdIndexSegmentWriter.java | 130 + .../index/EarlybirdIndexableField.java | 24 + ...rlybirdLuceneIndexSegmentAtomicReader.java | 336 ++ .../EarlybirdLuceneIndexSegmentData.java | 197 + .../EarlybirdLuceneIndexSegmentWriter.java | 170 + ...ybirdRealtimeIndexSegmentAtomicReader.java | 175 + .../EarlybirdRealtimeIndexSegmentData.java | 251 ++ .../EarlybirdRealtimeIndexSegmentWriter.java | 789 ++++ .../index/QueryCacheResultForSegment.java | 39 + .../index/SequentialDocIDMapper.java | 87 + .../core/earlybird/index/TimeMapper.java | 80 + .../AbstractColumnStrideMultiIntIndex.java | 79 + .../index/column/ColumnStrideByteIndex.java | 88 + .../column/ColumnStrideFieldDocValues.java | 76 + .../index/column/ColumnStrideFieldIndex.java | 64 + .../index/column/ColumnStrideIntIndex.java | 88 + .../column/ColumnStrideIntViewIndex.java | 71 + .../index/column/ColumnStrideLongIndex.java | 88 + .../column/ColumnStrideMultiIntIndex.java | 102 + .../ConstantColumnStrideFieldIndex.java | 18 + .../index/column/DocValuesManager.java | 248 ++ .../index/column/DocValuesUpdate.java | 8 + .../OptimizedColumnStrideByteIndex.java | 81 + .../column/OptimizedColumnStrideIntIndex.java | 81 + .../OptimizedColumnStrideLongIndex.java | 81 + .../OptimizedColumnStrideMultiIntIndex.java | 90 + .../column/OptimizedDocValuesManager.java | 97 + .../column/UnoptimizedDocValuesManager.java | 69 + .../EarlybirdIndexExtensionsData.java | 15 + .../EarlybirdIndexExtensionsFactory.java | 19 + .../EarlybirdRealtimeIndexExtensionsData.java | 20 + .../index/inverted/BaseByteBlockPool.java | 373 ++ .../index/inverted/ByteBlockPool.java | 58 + .../index/inverted/ByteTermUtils.java | 126 + .../earlybird/index/inverted/DeletedDocs.java | 245 ++ .../EarlybirdCSFDocValuesProcessor.java | 74 + .../EarlybirdOptimizedPostingsEnum.java | 178 + .../index/inverted/EarlybirdPostingsEnum.java | 26 + .../index/inverted/FSTTermDictionary.java | 299 ++ .../HighDFPackedIntsDocsAndPositionsEnum.java | 156 + .../inverted/HighDFPackedIntsDocsEnum.java | 222 + .../HighDFPackedIntsPostingLists.java | 829 ++++ .../HighDFPackedIntsSkipListReader.java | 200 + .../index/inverted/InMemoryFields.java | 44 + .../index/inverted/IndexOptimizer.java | 201 + .../index/inverted/IntBlockPool.java | 225 + .../IntBlockPoolPackedLongsReader.java | 253 ++ .../IntBlockPoolPackedLongsWriter.java | 166 + .../index/inverted/InvertedIndex.java | 144 + .../index/inverted/InvertedRealtimeIndex.java | 558 +++ .../inverted/InvertedRealtimeIndexWriter.java | 163 + .../inverted/LowDFPackedIntsPostingLists.java | 255 ++ .../inverted/LowDFPackedIntsPostingsEnum.java | 112 + .../index/inverted/MPHTermDictionary.java | 190 + .../index/inverted/MultiPostingLists.java | 135 + .../inverted/MultiSegmentTermDictionary.java | 60 + ...ultiSegmentTermDictionaryWithFastutil.java | 161 + .../MultiSegmentTermDictionaryWithMap.java | 134 + .../index/inverted/OptimizedIndexTerms.java | 57 + .../index/inverted/OptimizedMemoryIndex.java | 434 ++ .../index/inverted/OptimizedPostingLists.java | 41 + .../OptimizingPostingsEnumWrapper.java | 128 + .../PackedLongsReaderPreComputedValues.java | 202 + .../earlybird/index/inverted/PayloadUtil.java | 91 + .../index/inverted/PostingsBufferQueue.java | 155 + .../index/inverted/QueryCostTracker.java | 48 + .../index/inverted/RealtimeIndexTerms.java | 365 ++ .../index/inverted/SkipListComparator.java | 43 + .../index/inverted/SkipListContainer.java | 739 ++++ .../inverted/SkipListIntegerComparator.java | 26 + .../index/inverted/SkipListPostingList.java | 232 + .../index/inverted/SkipListPostingsEnum.java | 255 ++ .../index/inverted/SkipListSearchFinger.java | 45 + .../index/inverted/TermDictionary.java | 47 + .../index/inverted/TermPointerEncoding.java | 38 + .../earlybird/index/inverted/TermsArray.java | 189 + .../earlybird/index/util/AllDocsIterator.java | 82 + .../core/earlybird/index/util/RangeDISI.java | 50 + .../earlybird/index/util/RangeFilterDISI.java | 58 + .../earlybird/index/util/SearchSortUtils.java | 42 + src/java/com/twitter/search/earlybird/BUILD | 222 + .../com/twitter/search/earlybird/CONFIG.ini | 7 + .../twitter/search/earlybird/Earlybird.java | 267 ++ .../earlybird/EarlybirdCPUQualityFactor.java | 181 + .../search/earlybird/EarlybirdDarkProxy.java | 113 + .../EarlybirdFinagleServerManager.java | 53 + .../earlybird/EarlybirdFuturePoolManager.java | 114 + .../earlybird/EarlybirdIndexConfig.java | 190 + .../search/earlybird/EarlybirdMain.java | 10 + ...rlybirdProductionFinagleServerManager.java | 151 + .../search/earlybird/EarlybirdSearcher.java | 1918 +++++++++ .../search/earlybird/EarlybirdServer.java | 1087 +++++ .../earlybird/EarlybirdServerSetManager.java | 275 ++ .../search/earlybird/EarlybirdStatus.java | 204 + .../earlybird/EarlybirdWarmUpManager.java | 100 + .../search/earlybird/QualityFactor.java | 17 + .../com/twitter/search/earlybird/README.md | 83 + .../RealtimeEarlybirdIndexConfig.java | 128 + .../earlybird/RecentTweetRestriction.java | 60 + .../search/earlybird/ServerSetMember.java | 55 + .../UpdateableEarlybirdStateManager.java | 437 ++ .../archive/ArchiveEarlybirdIndexConfig.java | 75 + .../earlybird/archive/ArchiveHDFSUtils.java | 173 + .../ArchiveOnDiskEarlybirdIndexConfig.java | 79 + .../ArchiveSearchPartitionManager.java | 485 +++ .../earlybird/archive/ArchiveSegment.java | 88 + .../archive/ArchiveSegmentDataProvider.java | 84 + .../archive/ArchiveSegmentUpdater.java | 279 ++ .../archive/ArchiveSegmentVerifier.java | 75 + .../earlybird/archive/ArchiveTimeSlicer.java | 322 ++ .../earlybird/archive/DailyStatusBatch.java | 166 + .../earlybird/archive/DailyStatusBatches.java | 702 +++ .../earlybird/archive/PartitionedBatch.java | 333 ++ .../archive/segmentbuilder/BUILD.bazel | 64 + .../BuiltAndFinalizedSegment.java | 29 + .../segmentbuilder/NotYetBuiltSegment.java | 101 + .../RateLimitingSegmentHandler.java | 39 + .../segmentbuilder/SegmentBuilder.java | 540 +++ .../segmentbuilder/SegmentBuilderApp.java | 109 + .../SegmentBuilderCoordinator.java | 200 + .../segmentbuilder/SegmentBuilderMain.java | 10 + .../segmentbuilder/SegmentBuilderModule.java | 58 + .../segmentbuilder/SegmentBuilderSegment.java | 100 + .../archive/segmentbuilder/SegmentConfig.java | 41 + .../SegmentInfoConstructionException.java | 12 + .../SegmentUpdaterException.java | 13 + .../SomeoneElseIsBuildingSegment.java | 69 + .../com/twitter/search/earlybird/common/BUILD | 37 + .../Base64RequestResponseForLogging.java | 120 + .../earlybird/common/CaughtUpMonitor.java | 55 + .../search/earlybird/common/ClientIdUtil.java | 85 + .../common/EarlybirdRequestLogger.java | 365 ++ .../common/EarlybirdRequestPostLogger.java | 37 + .../common/EarlybirdRequestPreLogger.java | 32 + .../common/EarlybirdRequestUtil.java | 244 ++ .../common/EarlybirdThriftBackend.java | 28 + .../earlybird/common/NonPagingAssert.java | 34 + .../common/RequestResponseForLogging.java | 55 + .../earlybird/common/RequestResponsePair.java | 44 + .../UnknownClientRequestForLogging.java | 77 + .../search/earlybird/common/config/BUILD | 21 + .../common/config/EarlybirdConfig.java | 363 ++ .../common/config/EarlybirdProperty.java | 390 ++ .../search/earlybird/common/userupdates/BUILD | 45 + .../common/userupdates/UserScrubGeoMap.java | 100 + .../common/userupdates/UserTable.java | 572 +++ .../UserTableBuilderFromSnapshot.java | 263 ++ .../common/userupdates/UserUpdate.java | 38 + .../userupdates/UserUpdatesChecker.java | 70 + .../com/twitter/search/earlybird/config/BUILD | 21 + .../search/earlybird/config/ServingRange.java | 26 + .../search/earlybird/config/TierConfig.java | 175 + .../search/earlybird/config/TierInfo.java | 180 + .../earlybird/config/TierInfoSource.java | 39 + .../search/earlybird/config/TierInfoUtil.java | 78 + .../earlybird/config/TierInfoWrapper.java | 89 + .../config/TierServingBoundaryEndPoint.java | 146 + .../earlybird/document/DeletedStatus.java | 15 + .../earlybird/document/DocumentFactory.java | 110 + .../document/ThriftDocumentPreprocessor.java | 170 + .../ThriftIndexingEventDocumentFactory.java | 246 ++ .../ThriftIndexingEventUpdateFactory.java | 91 + .../TimeSlicedThriftIndexingEvent.java | 40 + .../document/TruncationTokenStreamWriter.java | 86 + .../earlybird/document/TweetDocument.java | 52 + .../AlreadyInServerSetUpdateException.java | 12 + .../exception/BadRequestException.java | 11 + .../earlybird/exception/ClientException.java | 11 + .../exception/CriticalExceptionHandler.java | 114 + .../exception/EarlybirdException.java | 18 + .../EarlybirdFinagleServerMonitor.java | 25 + .../exception/EarlybirdRuntimeException.java | 7 + .../exception/EarlybirdStartupException.java | 20 + .../FlushVersionMismatchException.java | 17 + .../exception/MissingKafkaTopicException.java | 11 + .../exception/MissingUserException.java | 4 + .../NotInServerSetUpdateException.java | 12 + .../exception/TransientException.java | 15 + .../exception/UncaughtExceptionHandler.java | 23 + .../exception/WrappedKafkaApiException.java | 19 + .../factory/EarlybirdIndexConfigUtil.java | 53 + .../EarlybirdKafkaConsumersFactory.java | 19 + .../factory/EarlybirdServerFactory.java | 353 ++ .../factory/EarlybirdWireModule.java | 901 ++++ .../factory/PartitionConfigUtil.java | 47 + ...ductionEarlybirdKafkaConsumersFactory.java | 41 + ...yCacheUpdaterScheduledExecutorService.java | 57 + .../index/AbstractInMemoryTimeMapper.java | 83 + .../index/DocValuesBasedTimeMapper.java | 146 + .../index/DocValuesBasedTweetIDMapper.java | 149 + .../earlybird/index/DocValuesHelper.java | 70 + .../earlybird/index/EarlybirdSegment.java | 1070 +++++ .../index/EarlybirdSegmentFactory.java | 58 + .../index/EarlybirdSingleSegmentSearcher.java | 423 ++ .../earlybird/index/OptimizedTimeMapper.java | 109 + .../index/OptimizedTweetIDMapper.java | 145 + .../OutOfOrderRealtimeTweetIDMapper.java | 531 +++ .../earlybird/index/RealtimeTimeMapper.java | 149 + .../earlybird/index/TimeMappingWriter.java | 32 + .../search/earlybird/index/TweetIDMapper.java | 183 + .../search/earlybird/index/TweetIDQuery.java | 81 + .../index/TweetIDToInternalIDMap.java | 154 + .../TweetSearchIndexExtensionsFactory.java | 17 + .../TweetSearchLuceneIndexExtensionsData.java | 41 + ...weetSearchRealtimeIndexExtensionsData.java | 33 + .../search/earlybird/index/facets/BUILD | 16 + .../earlybird/index/facets/FacetSkipList.java | 126 + .../earlybird/ml/ScoringModelsManager.java | 155 + .../AudioSpaceEventsStreamIndexer.java | 75 + .../earlybird/partition/AudioSpaceTable.java | 150 + .../partition/BalancingKafkaConsumer.java | 117 + .../partition/CompleteSegmentManager.java | 349 ++ .../partition/DynamicPartitionConfig.java | 69 + .../earlybird/partition/EarlybirdIndex.java | 65 + .../partition/EarlybirdIndexFlusher.java | 371 ++ .../partition/EarlybirdIndexLoader.java | 224 + .../partition/EarlybirdKafkaConsumer.java | 281 ++ .../earlybird/partition/EarlybirdStartup.java | 17 + .../partition/FlowControlException.java | 16 + .../search/earlybird/partition/HdfsUtil.java | 30 + .../earlybird/partition/ISegmentWriter.java | 24 + .../partition/IndexingResultCounts.java | 51 + .../partition/InstrumentedQueue.java | 51 + .../earlybird/partition/KafkaStartup.java | 328 ++ .../MultiSegmentTermDictionaryManager.java | 314 ++ ...timizationAndFlushingCoordinationLock.java | 46 + .../partition/OptimizingSegmentWriter.java | 210 + .../earlybird/partition/PartitionConfig.java | 171 + .../partition/PartitionConfigLoader.java | 45 + .../PartitionConfigLoadingException.java | 12 + .../earlybird/partition/PartitionManager.java | 254 ++ .../partition/PartitionManagerStartup.java | 57 + .../earlybird/partition/PartitionWriter.java | 109 + .../partition/SearchIndexingMetricSet.java | 208 + .../partition/SegmentHdfsFlusher.java | 247 ++ .../partition/SegmentIndexStats.java | 96 + .../partition/SegmentIndexStatsExporter.java | 85 + .../earlybird/partition/SegmentInfo.java | 428 ++ .../earlybird/partition/SegmentLoader.java | 300 ++ .../earlybird/partition/SegmentManager.java | 822 ++++ .../earlybird/partition/SegmentOptimizer.java | 60 + .../partition/SegmentSyncConfig.java | 218 + .../earlybird/partition/SegmentSyncInfo.java | 113 + .../earlybird/partition/SegmentVulture.java | 380 ++ .../earlybird/partition/SegmentWarmer.java | 49 + .../earlybird/partition/SegmentWriter.java | 239 ++ .../partition/SimpleSegmentIndexer.java | 191 + .../partition/SimpleStreamIndexer.java | 187 + .../partition/SimpleUpdateIndexer.java | 140 + .../partition/StartupUserEventIndexer.java | 236 + .../partition/StatusBatchFlushVersion.java | 41 + .../TimeLimitedHadoopExistsCall.java | 90 + .../partition/TweetCreateHandler.java | 526 +++ .../partition/TweetUpdateHandler.java | 175 + .../partition/UserPartitionUtil.java | 32 + .../UserScrubGeoEventStreamIndexer.java | 88 + .../partition/UserUpdatesStreamIndexer.java | 89 + .../freshstartup/FreshStartupHandler.java | 439 ++ .../freshstartup/KafkaOffsetPair.java | 23 + .../PostOptimizationUpdatesIndexer.java | 169 + .../PreOptimizationSegmentIndexer.java | 459 ++ .../freshstartup/SegmentBuildInfo.java | 92 + .../SegmentTweetsIndexingResult.java | 46 + .../freshstartup/SkippedPickedCounter.java | 26 + .../querycache/CachedFilterQuery.java | 310 ++ .../CachedResultDocIdSetIterator.java | 72 + .../querycache/QueryCacheConfig.java | 101 + .../querycache/QueryCacheConversionRules.java | 100 + .../querycache/QueryCacheFilter.java | 302 ++ .../querycache/QueryCacheManager.java | 365 ++ .../querycache/QueryCacheResultCollector.java | 124 + .../querycache/QueryCacheUpdateTask.java | 283 ++ .../querycache/QueryCacheUpdater.java | 242 ++ .../queryparser/DetectAntisocialVisitor.java | 131 + .../DetectFieldAnnotationVisitor.java | 99 + .../EarlybirdLuceneQueryVisitor.java | 1781 ++++++++ .../queryparser/EarlybirdQueryHelper.java | 154 + .../HighFrequencyTermPairExtractor.java | 211 + .../HighFrequencyTermPairRewriteVisitor.java | 477 +++ .../HighFrequencyTermQueryGroup.java | 94 + .../LuceneRelevanceQueryVisitor.java | 69 + .../ProtectedOperatorQueryRewriter.java | 153 + .../search/AbstractResultsCollector.java | 630 +++ .../earlybird/search/AntiGamingFilter.java | 228 + .../search/EarlybirdLuceneSearcher.java | 98 + .../search/EarlybirdMultiSegmentSearcher.java | 254 ++ .../search/GeoQuadTreeQueryBuilder.java | 199 + .../twitter/search/earlybird/search/Hit.java | 59 + .../earlybird/search/SearchRequestInfo.java | 180 + .../search/SearchResultsCollector.java | 188 + .../earlybird/search/SearchResultsInfo.java | 99 + .../earlybird/search/SimpleSearchResults.java | 35 + .../search/earlybird/search/SocialFilter.java | 98 + .../search/SocialSearchResultsCollector.java | 47 + .../facets/AbstractFacetTermCollector.java | 67 + .../search/facets/DefaultFacetScorer.java | 236 + .../facets/EntityAnnotationCollector.java | 48 + .../search/facets/ExpandedUrlCollector.java | 118 + .../facets/ExplainFacetResultsCollector.java | 159 + .../search/facets/FacetLabelCollector.java | 62 + .../search/facets/FacetRankingModule.java | 26 + .../search/facets/FacetResultsCollector.java | 229 + .../earlybird/search/facets/FacetScorer.java | 24 + .../search/facets/FacetSearchRequestInfo.java | 28 + .../HashingAndPruningFacetAccumulator.java | 492 +++ .../search/facets/NamedEntityCollector.java | 49 + .../facets/RetweetFacetCountIterator.java | 36 + .../facets/SimpleCountRankingModule.java | 32 + .../search/facets/SpaceFacetCollector.java | 47 + .../facets/TermStatisticsCollector.java | 487 +++ .../facets/TermStatisticsRequestInfo.java | 94 + .../TweetSearchFacetCountIteratorFactory.java | 41 + .../search/queries/BadUserRepFilter.java | 115 + .../search/queries/CSFDisjunctionFilter.java | 87 + .../search/queries/DocValRangeFilter.java | 195 + ...FeatureValueInAcceptListOrUnsetFilter.java | 113 + .../search/queries/GeoTwoPhaseQuery.java | 255 ++ .../search/queries/MatchAllDocIdSet.java | 44 + .../search/queries/MatchAllDocsQuery.java | 91 + .../queries/RequiredStatusIDsFilter.java | 131 + .../search/queries/SimpleTermQuery.java | 86 + .../search/queries/SinceMaxIDFilter.java | 211 + .../search/queries/SinceUntilFilter.java | 137 + .../queries/TermQueryWithSafeToString.java | 29 + .../search/queries/TimedDocIdSetIterator.java | 128 + .../queries/UserFlagsExcludeFilter.java | 128 + .../queries/UserIdMultiSegmentQuery.java | 528 +++ .../search/queries/UserScrubGeoFilter.java | 82 + .../search/relevance/LinearScoringData.java | 422 ++ .../search/relevance/LinearScoringParams.java | 304 ++ .../relevance/MinFeatureValueFilter.java | 163 + .../search/relevance/RelevanceHit.java | 104 + .../relevance/RelevanceSearchRequestInfo.java | 66 + .../relevance/RelevanceSearchResults.java | 37 + .../search/relevance/ScoreFilterQuery.java | 138 + .../AbstractRelevanceCollector.java | 147 + .../BatchRelevanceTopCollector.java | 118 + .../collectors/RelevanceAllCollector.java | 70 + .../collectors/RelevanceTopCollector.java | 167 + .../search/relevance/scoring/BatchHit.java | 47 + .../scoring/DefaultScoringFunction.java | 37 + .../scoring/FeatureBasedScoringFunction.java | 1360 ++++++ .../scoring/LegacyScoreAccumulator.java | 98 + .../scoring/LinearScoringFunction.java | 237 ++ .../scoring/ModelBasedScoringFunction.java | 151 + .../relevance/scoring/RelevanceQuery.java | 164 + .../RetweetBasedTopTweetsScoringFunction.java | 165 + .../relevance/scoring/ScoringFunction.java | 213 + .../scoring/ScoringFunctionProvider.java | 216 + .../scoring/SpamVectorScoringFunction.java | 85 + .../relevance/scoring/SparseTensor.java | 87 + .../TensorflowBasedScoringFunction.java | 339 ++ .../scoring/TestScoringFunction.java | 52 + .../segment/DLSegmentDataProvider.java | 62 + .../segment/DLSegmentDataReaderSet.java | 237 ++ .../segment/EmptySegmentDataReaderSet.java | 72 + .../segment/SegmentDataProvider.java | 14 + .../segment/SegmentDataReaderSet.java | 79 + .../earlybird/segment/SegmentProvider.java | 13 + .../earlybird/stats/EarlybirdRPCStats.java | 55 + .../stats/EarlybirdSearcherStats.java | 213 + .../earlybird/stats/SegmentSyncStats.java | 59 + ...arlybirdThriftRequestDeserializerUtil.java | 77 + .../search/earlybird/util/ActionLogger.java | 49 + .../util/CoordinatedEarlybirdAction.java | 409 ++ .../CoordinatedEarlybirdActionInterface.java | 50 + .../CoordinatedEarlybirdActionLockFailed.java | 11 + .../earlybird/util/EarlybirdDecider.java | 128 + .../util/EarlybirdSearchResultUtil.java | 182 + .../earlybird/util/FieldTermCounter.java | 304 ++ .../search/earlybird/util/Histogram.java | 160 + .../search/earlybird/util/IndexViewer.java | 798 ++++ .../earlybird/util/JsonViewerWriter.java | 68 + .../util/OneTaskScheduledExecutorManager.java | 91 + .../search/earlybird/util/ParallelUtil.java | 71 + .../earlybird/util/PeriodicActionParams.java | 79 + .../util/ScheduledExecutorManager.java | 150 + .../earlybird/util/ScheduledExecutorTask.java | 27 + .../search/earlybird/util/ScrubGenUtil.java | 28 + .../util/ShutdownWaitTimeParams.java | 40 + .../earlybird/util/TermCountMonitor.java | 338 ++ .../earlybird/util/TweetCountMonitor.java | 447 ++ .../search/earlybird/util/ViewerWriter.java | 47 + .../com/twitter/search/earlybird_root/BUILD | 75 + .../earlybird_root/ClientBackupFilter.java | 90 + .../earlybird_root/ClientLatencyFilter.java | 45 + .../EarlybirdCacheCommonModule.java | 96 + .../EarlybirdChainedScatterGatherService.java | 58 + .../earlybird_root/EarlybirdCommonModule.java | 170 + ...lybirdFullArchiveScatterGatherSupport.java | 21 + ...arlybirdProtectedScatterGatherSupport.java | 25 + .../EarlybirdProtectedValidationBehavior.java | 45 + .../EarlybirdProtectedWarmup.java | 28 + .../EarlybirdQueryRewriteFilter.java | 157 + ...rlybirdRealtimeCgScatterGatherSupport.java | 21 + ...EarlybirdRealtimeScatterGatherSupport.java | 21 + .../EarlybirdRootQueryUtils.java | 53 + .../EarlybirdServiceChainBuilder.java | 278 ++ .../EarlybirdServiceLoggingSupport.java | 60 + ...rlybirdServicePartitionLoggingSupport.java | 42 + .../EarlybirdServiceScatterGatherSupport.java | 202 + .../EarlybirdServiceValidationBehavior.java | 111 + .../EarlybirdTierThrottleDeciders.java | 49 + .../earlybird_root/EarlybirdWarmup.java | 69 + .../earlybird_root/ExceptionHandler.java | 17 + .../FullArchiveRootAppMain.java | 40 + .../earlybird_root/FullArchiveRootModule.java | 241 ++ .../earlybird_root/FullArchiveRootServer.java | 16 + .../FullArchiveRootService.java | 148 + .../earlybird_root/InitializeFilter.java | 36 + .../MultiTierResultsMergeFilter.java | 55 + .../PartitionAccessController.java | 70 + .../earlybird_root/ProtectedRootAppMain.java | 39 + .../ProtectedRootAppModule.java | 78 + .../earlybird_root/ProtectedRootServer.java | 16 + .../earlybird_root/ProtectedRootService.java | 110 + .../ProtectedScatterGatherModule.java | 62 + .../search/earlybird_root/QuotaModule.java | 110 + .../twitter/search/earlybird_root/README.md | 8 + .../earlybird_root/RealtimeCgRootAppMain.java | 40 + .../RealtimeCgRootAppModule.java | 152 + .../earlybird_root/RealtimeCgRootServer.java | 18 + .../earlybird_root/RealtimeCgRootService.java | 132 + .../RealtimeCgScatterGatherModule.java | 71 + .../earlybird_root/RealtimeRootAppMain.java | 39 + .../earlybird_root/RealtimeRootAppModule.java | 151 + .../earlybird_root/RealtimeRootServer.java | 18 + .../earlybird_root/RealtimeRootService.java | 129 + .../RealtimeScatterGatherModule.java | 118 + .../RootResponseClassifier.java | 69 + .../earlybird_root/ScatterGatherModule.java | 167 + .../earlybird_root/SkipPartitionFilter.java | 70 + .../earlybird_root/SuperRootAppMain.java | 48 + .../earlybird_root/SuperRootAppModule.java | 234 + .../SuperRootRequestTypeRouter.java | 79 + .../earlybird_root/SuperRootServer.java | 36 + .../earlybird_root/SuperRootService.java | 121 + .../search/earlybird_root/caching/BUILD | 20 + .../caching/CacheCommonUtil.java | 16 + .../earlybird_root/caching/CacheStats.java | 13 + .../DefaultForcedCacheMissDecider.java | 24 + .../caching/EarlybirdCachePostProcessor.java | 22 + .../EarlybirdRequestPerClientCacheStats.java | 46 + .../earlybird_root/caching/FacetsCache.java | 15 + .../caching/FacetsCacheFilter.java | 32 + .../caching/FacetsCacheRequestNormalizer.java | 18 + .../caching/FacetsQueryCachePredicate.java | 24 + .../caching/FacetsServicePostProcessor.java | 24 + ...RecencyAndRelevanceCachePostProcessor.java | 66 + .../earlybird_root/caching/RecencyCache.java | 15 + .../caching/RecencyCacheFilter.java | 34 + .../RecencyCacheRequestNormalizer.java | 16 + .../caching/RecencyQueryCachePredicate.java | 24 + .../caching/RecencyServicePostProcessor.java | 27 + .../caching/RelevanceCache.java | 15 + .../caching/RelevanceCacheFilter.java | 33 + .../RelevanceCacheRequestNormalizer.java | 40 + .../caching/RelevanceQueryCachePredicate.java | 24 + .../RelevanceServicePostProcessor.java | 24 + .../RelevanceZeroResultsCacheFilter.java | 40 + ...elevanceZeroResultsCachePostProcessor.java | 20 + ...anceZeroResultsCacheRequestNormalizer.java | 31 + ...levanceZeroResultsQueryCachePredicate.java | 31 + ...evanceZeroResultsServicePostProcessor.java | 36 + .../caching/StrictRecencyCache.java | 15 + .../caching/StrictRecencyCacheFilter.java | 34 + .../StrictRecencyQueryCachePredicate.java | 25 + .../caching/TermStatsCache.java | 15 + .../caching/TermStatsCacheFilter.java | 33 + .../TermStatsCacheRequestNormalizer.java | 17 + .../caching/TermStatsQueryCachePredicate.java | 24 + .../TermStatsServicePostProcessor.java | 25 + .../caching/TopTweetsCache.java | 15 + .../caching/TopTweetsCacheFilter.java | 33 + .../TopTweetsCacheRequestNormalizer.java | 18 + 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| 31 + .../InNetworkTweetRepositoryBuilder.scala | 109 + .../InNetworkTweetSource.scala | 271 ++ .../twitter/timelineranker/monitoring/BUILD | 15 + ...UsersSearchResultMonitoringTransform.scala | 52 + .../timelineranker/observe/BUILD.bazel | 15 + .../observe/DebugObserverBuilder.scala | 36 + .../observe/ObservedRequests.scala | 35 + .../twitter/timelineranker/parameters/BUILD | 18 + .../parameters/ConfigBuilder.scala | 60 + .../parameters/entity_tweets/BUILD | 12 + .../entity_tweets/EntityTweetsParams.scala | 65 + .../EntityTweetsProduction.scala | 42 + .../parameters/in_network_tweets/BUILD | 15 + .../InNetworkTweetParams.scala | 133 + .../InNetworkTweetProduction.scala | 71 + .../parameters/monitoring/BUILD | 11 + .../monitoring/MonitoringParams.scala | 13 + .../monitoring/MonitoringProduction.scala | 14 + .../timelineranker/parameters/recap/BUILD | 18 + .../parameters/recap/RecapParams.scala | 231 + .../parameters/recap/RecapProduction.scala | 115 + 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+ .../twitter/timelineranker/server/Main.scala | 182 + .../server/TimelineRanker.scala | 255 ++ .../server/TimelineRankerBuilder.scala | 127 + .../server/TimelineRankerThriftWebForms.scala | 46 + .../timelineranker/server/Warmup.scala | 53 + .../com/twitter/timelineranker/source/BUILD | 22 + .../ReverseChronHomeTimelineSource.scala | 327 ++ .../source/TimelineSource.scala | 16 + .../uteg_liked_by_tweets/BUILD.bazel | 51 + .../CombinedScoreAndTruncateTransform.scala | 95 + ...horFavoritedByUserIdsFilterTransform.scala | 39 + ...uthoredByWeightedFollowingsTransform.scala | 29 + ...lProofAndUTEGScoreHydrationTransform.scala | 28 + .../UTEGResultsTransform.scala | 74 + .../UtegLikedByTweetsRepository.scala | 18 + .../UtegLikedByTweetsRepositoryBuilder.scala | 46 + ...gLikedByTweetsSearchResultsTransform.scala | 36 + .../UtegLikedByTweetsSource.scala | 306 ++ .../com/twitter/timelineranker/util/BUILD | 39 + .../util/CachingContentFeaturesProvider.scala | 120 + ...tFeaturesIntoHydratedTweetsTransform.scala | 59 + ...uresIntoThriftTweetFeaturesTransform.scala | 106 + .../util/ExtendedRepliesFilter.scala | 72 + .../util/LatentRepository.scala | 31 + .../util/RecommendedRepliesFilter.scala | 28 + .../util/ReverseExtendedRepliesFilter.scala | 32 + .../util/SearchResultUtil.scala | 123 + .../SearchResultWithVisibilityActors.scala | 61 + .../timelineranker/util/SnowflakeUtils.scala | 19 + .../util/SourceTweetsUtil.scala | 88 + .../TweetAnnotationFeaturesExtractor.scala | 19 + .../timelineranker/util/TweetHydrator.scala | 76 + .../util/TweetMediaFeatureExtractor.scala | 272 ++ .../util/TweetTextFeaturesExtractor.scala | 199 + .../util/TweetsPostFilter.scala | 493 +++ ...weetsPostFilterBasedOnSearchMetadata.scala | 170 + .../TweetypieContentFeaturesProvider.scala | 114 + .../twitter/timelineranker/visibility/BUILD | 17 + .../visibility/FollowGraphDataProvider.scala | 25 + .../RealGraphFollowGraphDataProvider.scala | 134 + .../SgsFollowGraphDataProvider.scala | 266 ++ .../earlybird_ranking/earlybird_ranking/BUILD | 8 + .../earlybird_ranking/common/BUILD | 24 + .../EarlybirdTrainingConfiguration.scala | 271 ++ .../EarlybirdTrainingRecapConfiguration.scala | 17 + ...rlybirdTrainingRectweetConfiguration.scala | 100 + .../earlybird_ranking/model_evaluation/BUILD | 36 + .../EarlybirdEvaluationMetric.scala | 203 + .../EarlybirdModelEvaluationJob.scala | 214 + .../training_data_generation/BUILD | 89 + .../EarlybirdExampleSampler.scala | 65 + .../EarlybirdStatsJob.scala | 63 + .../EarlybirdTrainingDataJob.scala | 92 + trust_and_safety_models/README.md | 10 + .../abusive/abusive_model.py | 276 ++ trust_and_safety_models/nsfw/nsfw_media.py | 466 ++ trust_and_safety_models/nsfw/nsfw_text.py | 152 + trust_and_safety_models/toxicity/__init__.py | 0 .../toxicity/data/__init__.py | 0 .../toxicity/data/data_preprocessing.py | 118 + .../toxicity/data/dataframe_loader.py | 348 ++ .../toxicity/data/mb_generator.py | 284 ++ .../toxicity/load_model.py | 227 + .../toxicity/optim/__init__.py | 0 .../toxicity/optim/callbacks.py | 220 + .../toxicity/optim/losses.py | 56 + .../toxicity/optim/schedulers.py | 44 + trust_and_safety_models/toxicity/rescoring.py | 54 + .../toxicity/settings/__init__.py | 0 .../toxicity/settings/default_settings_tox.py | 38 + trust_and_safety_models/toxicity/train.py | 401 ++ .../toxicity/utils/__init__.py | 0 .../toxicity/utils/helpers.py | 99 + twml/BUILD | 186 + twml/README.md | 13 + twml/libtwml/BUILD | 8 + twml/libtwml/include/twml.h | 21 + .../include/twml/BatchPredictionRequest.h | 45 + .../include/twml/BatchPredictionResponse.h | 58 + twml/libtwml/include/twml/BlockFormatReader.h | 32 + twml/libtwml/include/twml/BlockFormatWriter.h | 61 + twml/libtwml/include/twml/DataRecord.h | 108 + twml/libtwml/include/twml/DataRecordReader.h | 61 + twml/libtwml/include/twml/DataRecordWriter.h | 39 + twml/libtwml/include/twml/Error.h | 48 + twml/libtwml/include/twml/HashedDataRecord.h | 70 + .../include/twml/HashedDataRecordReader.h | 70 + twml/libtwml/include/twml/Hashmap.h | 110 + twml/libtwml/include/twml/RawTensor.h | 92 + twml/libtwml/include/twml/Tensor.h | 82 + twml/libtwml/include/twml/TensorRecord.h | 47 + .../libtwml/include/twml/TensorRecordReader.h | 34 + .../libtwml/include/twml/TensorRecordWriter.h | 35 + twml/libtwml/include/twml/ThriftReader.h | 56 + twml/libtwml/include/twml/ThriftWriter.h | 59 + twml/libtwml/include/twml/Type.h | 69 + twml/libtwml/include/twml/common.h | 42 + twml/libtwml/include/twml/defines.h | 36 + twml/libtwml/include/twml/discretizer_impl.h | 22 + twml/libtwml/include/twml/functions.h | 26 + .../include/twml/hashing_discretizer_impl.h | 22 + twml/libtwml/include/twml/io/IOError.h | 45 + twml/libtwml/include/twml/optim.h | 51 + twml/libtwml/include/twml/utilities.h | 18 + twml/libtwml/setup.cfg | 9 + twml/libtwml/setup.py | 12 + .../src/lib/BatchPredictionRequest.cpp | 52 + .../src/lib/BatchPredictionResponse.cpp | 125 + twml/libtwml/src/lib/BlockFormatReader.cpp | 145 + twml/libtwml/src/lib/BlockFormatWriter.cpp | 163 + twml/libtwml/src/lib/CMakeLists.txt | 36 + twml/libtwml/src/lib/CPPLINT.cfg | 1 + twml/libtwml/src/lib/DataRecord.cpp | 72 + twml/libtwml/src/lib/DataRecordReader.cpp | 230 + twml/libtwml/src/lib/DataRecordWriter.cpp | 162 + twml/libtwml/src/lib/HashedDataRecord.cpp | 80 + .../src/lib/HashedDataRecordReader.cpp | 218 + twml/libtwml/src/lib/Hashmap.cpp | 380 ++ twml/libtwml/src/lib/Tensor.cpp | 191 + twml/libtwml/src/lib/TensorRecordReader.cpp | 323 ++ twml/libtwml/src/lib/TensorRecordWriter.cpp | 162 + twml/libtwml/src/lib/ThriftReader.cpp | 33 + twml/libtwml/src/lib/ThriftWriter.cpp | 91 + twml/libtwml/src/lib/discretizer_impl.cpp | 167 + twml/libtwml/src/lib/functions.cpp | 158 + .../src/lib/hashing_discretizer_impl.cpp | 241 ++ twml/libtwml/src/lib/internal/endianutils.h | 137 + twml/libtwml/src/lib/internal/error.h | 29 + twml/libtwml/src/lib/internal/interpolate.h | 74 + twml/libtwml/src/lib/internal/khash.h | 627 +++ twml/libtwml/src/lib/internal/linear_search.h | 17 + twml/libtwml/src/lib/internal/murmur_hash3.h | 37 + twml/libtwml/src/lib/internal/thrift.h | 69 + twml/libtwml/src/lib/internal/utf_converter.h | 10 + twml/libtwml/src/lib/io/IOError.cpp | 61 + twml/libtwml/src/lib/murmur_hash3.cpp | 335 ++ twml/libtwml/src/lib/optim.cpp | 274 ++ twml/libtwml/src/lib/utf_converter.cpp | 53 + twml/libtwml/src/ops/CMakeLists.txt | 79 + twml/libtwml/src/ops/add1.cpp | 92 + .../src/ops/batch_prediction_request.cpp | 183 + .../src/ops/batch_prediction_request_v2.cpp | 224 + .../ops/batch_prediction_response_writer.cpp | 82 + ...atch_prediction_tensor_response_writer.cpp | 81 + .../src/ops/binary_sparse_dense_matmul.cpp | 330 ++ .../src/ops/binary_sparse_dense_matmul.h | 75 + .../src/ops/binary_sparse_dense_matmul_impl.h | 145 + twml/libtwml/src/ops/block_format_dataset.cpp | 243 ++ twml/libtwml/src/ops/block_format_reader.h | 50 + twml/libtwml/src/ops/compress_sample_ids.cpp | 138 + .../src/ops/contrib/get_substrings.cpp | 116 + twml/libtwml/src/ops/data_record.cpp | 1891 +++++++++ .../src/ops/data_record_tensor_writer.cpp | 81 + twml/libtwml/src/ops/discretizer.cpp | 293 ++ twml/libtwml/src/ops/feature_extractor.cpp | 134 + twml/libtwml/src/ops/feature_id.cpp | 58 + twml/libtwml/src/ops/feature_mask.cpp | 83 + twml/libtwml/src/ops/fixed_length_tensor.cpp | 190 + twml/libtwml/src/ops/hashed_data_record.cpp | 520 +++ twml/libtwml/src/ops/hashing_discretizer.cpp | 260 ++ twml/libtwml/src/ops/hashmap.cpp | 84 + twml/libtwml/src/ops/isotonic_calibration.cpp | 81 + twml/libtwml/src/ops/num_intra_op_threads.cpp | 39 + twml/libtwml/src/ops/par_add.cpp | 75 + .../src/ops/partition_sparse_tensor.cpp | 125 + .../src/ops/percentile_discretizer_v2.cpp | 241 ++ twml/libtwml/src/ops/resource_utils.h | 126 + twml/libtwml/src/ops/scripts/get_inc.py | 5 + twml/libtwml/src/ops/scripts/get_inc.sh | 2 + twml/libtwml/src/ops/scripts/get_lib.py | 5 + twml/libtwml/src/ops/scripts/get_lib.sh | 2 + twml/libtwml/src/ops/scripts/symlink.sh | 12 + twml/libtwml/src/ops/sleep_op.cpp | 51 + twml/libtwml/src/ops/sparse_normalization.cpp | 378 ++ twml/libtwml/src/ops/tensor_record.cpp | 692 +++ twml/libtwml/src/ops/tensorflow_utils.cpp | 87 + twml/libtwml/src/ops/tensorflow_utils.h | 13 + twml/libtwml/src/ops/var_length_reader.cpp | 46 + twml/setup.cfg | 8 + twml/setup.py | 29 + twml/twml/__init__.py | 61 + twml/twml/argument_parser.py | 561 +++ twml/twml/array.py | 101 + twml/twml/block_format_writer.py | 65 + twml/twml/constants.py | 11 + twml/twml/contrib/__init__.py | 21 + twml/twml/contrib/build_graphs_fns.py | 32 + twml/twml/contrib/calibrators/__init__.py | 18 + twml/twml/contrib/calibrators/calibrator.py | 157 + .../contrib/calibrators/common_calibrators.py | 707 +++ .../hashed_percentile_discretizer.py | 22 + .../calibrators/hashing_discretizer.py | 35 + twml/twml/contrib/calibrators/isotonic.py | 317 ++ twml/twml/contrib/calibrators/mdl.py | 118 + .../calibrators/percentile_discretizer.py | 577 +++ twml/twml/contrib/eventbus/input_fn.py | 59 + twml/twml/contrib/eventbus/reader.py | 119 + twml/twml/contrib/export/__init__.py | 2 + twml/twml/contrib/export/export_fn.py | 264 ++ twml/twml/contrib/export/exporters.py | 145 + twml/twml/contrib/feature_config.py | 85 + twml/twml/contrib/feature_config_parsers.py | 224 + .../contrib/feature_importances/__init__.py | 0 .../feature_importances.py | 414 ++ .../feature_permutation.py | 129 + .../contrib/feature_importances/helpers.py | 96 + twml/twml/contrib/hooks.py | 42 + twml/twml/contrib/initializers.py | 61 + twml/twml/contrib/layers/__init__.py | 11 + twml/twml/contrib/layers/embedding_lookup.py | 419 ++ .../contrib/layers/factorization_machine.py | 179 + twml/twml/contrib/layers/full_dense.py | 380 ++ .../layers/hashed_percentile_discretizer.py | 217 + .../contrib/layers/hashing_discretizer.py | 156 + twml/twml/contrib/layers/mask_layer.py | 29 + twml/twml/contrib/layers/stacked_rnn.py | 189 + .../contrib/layers/zscore_normalization.py | 247 ++ twml/twml/contrib/metrics/__init__.py | 5 + twml/twml/contrib/metrics/metrics.py | 209 + twml/twml/contrib/metrics/search_metrics.py | 292 ++ twml/twml/contrib/optimizers/__init__.py | 4 + .../deep_gradient_compression_optimizer.py | 180 + .../contrib/optimizers/pruning_optimizer.py | 164 + twml/twml/contrib/parsers.py | 21 + twml/twml/contrib/pruning.py | 363 ++ twml/twml/contrib/readers/__init__.py | 5 + .../readers/batch_prediction_request.py | 8 + twml/twml/contrib/readers/data_record.py | 10 + .../hashed_batch_prediction_request.py | 8 + twml/twml/contrib/trainers/__init__.py | 5 + .../batch_prediction_request_trainer.py | 180 + .../trainers/pruning_data_record_trainer.py | 59 + twml/twml/contrib/trainers/trainer_utils.py | 111 + twml/twml/contrib/utils/__init__.py | 18 + twml/twml/contrib/utils/datasets.py | 93 + twml/twml/contrib/utils/device.py | 27 + twml/twml/contrib/utils/interp.py | 94 + twml/twml/contrib/utils/loss_fns.py | 302 ++ twml/twml/contrib/utils/masks.py | 38 + twml/twml/contrib/utils/math_fns.py | 171 + twml/twml/contrib/utils/normalizer.py | 39 + twml/twml/contrib/utils/scores.py | 33 + twml/twml/contrib/utils/similarities.py | 17 + twml/twml/dataset.py | 372 ++ twml/twml/errors.py | 13 + twml/twml/export_output_fns.py | 17 + twml/twml/feature_config.py | 54 + twml/twml/filters.py | 9 + twml/twml/hooks.py | 562 +++ twml/twml/input_fns.py | 129 + twml/twml/layers/__init__.py | 21 + .../layers/batch_prediction_tensor_writer.py | 51 + twml/twml/layers/batch_prediction_writer.py | 51 + twml/twml/layers/data_record_tensor_writer.py | 50 + twml/twml/layers/full_dense.py | 259 ++ twml/twml/layers/full_sparse.py | 370 ++ twml/twml/layers/isotonic.py | 76 + twml/twml/layers/layer.py | 50 + twml/twml/layers/mdl.py | 256 ++ twml/twml/layers/partition.py | 74 + twml/twml/layers/percentile_discretizer.py | 209 + twml/twml/layers/sequential.py | 160 + twml/twml/layers/sparse_max_norm.py | 221 + twml/twml/layers/stitch.py | 54 + twml/twml/learning_rate_decay.py | 168 + twml/twml/lookup/__init__.py | 11 + twml/twml/metrics.py | 1380 ++++++ twml/twml/optimizers/__init__.py | 4 + twml/twml/parsers.py | 20 + twml/twml/readers/__init__.py | 7 + twml/twml/readers/batch_prediction_request.py | 8 + twml/twml/readers/data_record.py | 15 + .../hashed_batch_prediction_request.py | 8 + twml/twml/readers/hashed_data_record.py | 12 + twml/twml/saved_model_cli/__init__.py | 0 twml/twml/saved_model_cli/__main__.py | 9 + twml/twml/summary/__init__.py | 6 + twml/twml/tensorboard/__init__.py | 0 twml/twml/tensorboard/__main__.py | 16 + twml/twml/tensorio.py | 161 + twml/twml/tracking/__init__.py | 5 + twml/twml/tracking/experiment_tracker.py | 543 +++ twml/twml/trainers/__init__.py | 10 + twml/twml/trainers/data_record_trainer.py | 821 ++++ twml/twml/trainers/trainer.py | 1777 ++++++++ twml/twml/util.py | 942 ++++ twml/twml_common/__init__.py | 0 twml/twml_common/initializer.py | 14 + twml/twml_common/serialize.py | 16 + twml/twml_common/sparse_inputs.py | 24 + visibilitylib/BUILD | 29 + visibilitylib/README.md | 51 + visibilitylib/src/main/resources/config/BUILD | 6 + .../config/com/twitter/visibility/decider.yml | 906 ++++ .../main/scala/com/twitter/visibility/BUILD | 42 + .../visibility/VisibilityLibrary.scala | 387 ++ .../com/twitter/visibility/builder/BUILD | 29 + .../builder/FeatureMapBuilder.scala | 64 + .../visibility/builder/VerdictLogger.scala | 187 + .../visibility/builder/VisibilityResult.scala | 112 + .../builder/VisibilityResultBuilder.scala | 114 + .../twitter/visibility/builder/common/BUILD | 32 + .../builder/common/MutedKeywordFeatures.scala | 228 + .../com/twitter/visibility/builder/dms/BUILD | 23 + .../builder/dms/DmConversationFeatures.scala | 196 + .../builder/dms/DmEventFeatures.scala | 341 ++ .../twitter/visibility/builder/media/BUILD | 31 + .../builder/media/MediaFeatures.scala | 90 + .../builder/media/MediaMetadataFeatures.scala | 79 + .../twitter/visibility/builder/spaces/BUILD | 25 + .../builder/spaces/SpaceFeatures.scala | 131 + .../twitter/visibility/builder/tweets/BUILD | 38 + .../tweets/BlenderContextFeatures.scala | 45 + .../CommunityNotificationFeatures.scala | 64 + .../tweets/CommunityTweetFeatures.scala | 70 + .../CommunityTweetFeaturesPartitioned.scala | 26 + .../tweets/CommunityTweetFeaturesV2.scala | 129 + .../tweets/ConversationControlFeatures.scala | 178 + .../builder/tweets/EditTweetFeatures.scala | 71 + .../tweets/ExclusiveTweetFeatures.scala | 65 + ...rPefetchedLabelsRelationshipFeatures.scala | 81 + .../tweets/FosnrRelationshipFeatures.scala | 82 + .../tweets/MisinformationPolicyFeatures.scala | 86 + .../builder/tweets/ModerationFeatures.scala | 23 + .../tweets/SearchContextFeatures.scala | 44 + .../tweets/ToxicReplyFilterFeature.scala | 57 + .../tweets/TrustedFriendsFeatures.scala | 57 + .../builder/tweets/TweetFeatures.scala | 210 + .../builder/tweets/TweetIdFeatures.scala | 76 + .../tweets/TweetMediaMetadataFeatures.scala | 130 + .../tweets/TweetPerspectiveFeatures.scala | 54 + .../TweetVisibilityNudgeSourceWrapper.scala | 39 + .../UnmentionNotificationFeatures.scala | 75 + .../builder/users/AuthorDeviceFeatures.scala | 39 + .../builder/users/AuthorFeatures.scala | 221 + .../twitter/visibility/builder/users/BUILD | 22 + .../builder/users/QuotedTweetFeatures.scala | 52 + .../builder/users/RelationshipFeatures.scala | 176 + .../users/RelationshipVerbHelpers.scala | 79 + .../builder/users/SearchFeatures.scala | 26 + .../users/UserUnavailableFeatures.scala | 145 + .../ViewerAdvancedFilteringFeatures.scala | 92 + .../builder/users/ViewerFeatures.scala | 245 ++ .../users/ViewerSearchSafetyFeatures.scala | 49 + ...ViewerSensitiveMediaSettingsFeatures.scala | 41 + .../com/twitter/visibility/configapi/BUILD | 19 + .../visibility/configapi/ConfigBuilder.scala | 43 + .../configapi/VisibilityParams.scala | 61 + .../configapi/VisibilityRequestContext.scala | 14 + .../VisibilityRequestContextFactory.scala | 64 + .../visibility/configapi/configs/BUILD | 17 + .../configapi/configs/DeciderKey.scala | 1064 +++++ .../configapi/configs/ExperimentsHelper.scala | 26 + .../configs/VisibilityDeciderGates.scala | 73 + .../configs/VisibilityDeciders.scala | 389 ++ .../configs/VisibilityExperimentsConfig.scala | 33 + .../configs/VisibilityFeatureSwitches.scala | 74 + .../configapi/configs/overrides/BUILD | 9 + .../VisibilityLibraryDeciderOverrides.scala | 24 + .../twitter/visibility/configapi/params/BUILD | 15 + .../configapi/params/FSRuleParams.scala | 213 + .../configapi/params/GlobalParams.scala | 11 + .../configapi/params/LabelSourceParams.scala | 15 + .../configapi/params/RuleParams.scala | 164 + .../configapi/params/SafetyLevelParams.scala | 214 + ...nversationsDownrankingSpecificParams.scala | 13 + .../params/VisibilityExperiment.scala | 19 + .../params/VisibilityExperiments.scala | 16 + .../scala/com/twitter/visibility/engine/BUILD | 22 + .../DeciderableVisibilityRuleEngine.scala | 26 + .../VisibilityResultsMetricRecorder.scala | 179 + .../engine/VisibilityRuleEngine.scala | 266 ++ .../engine/VisibilityRulePreprocessor.scala | 156 + .../features/AdvancedFilteringFeatures.scala | 24 + .../com/twitter/visibility/features/BUILD | 17 + .../twitter/visibility/features/Feature.scala | 11 + .../visibility/features/FeatureMap.scala | 121 + .../visibility/features/Features.scala | 269 ++ .../com/twitter/visibility/generators/BUILD | 30 + .../generators/CountryNameGenerator.scala | 58 + .../EpitaphToLocalizedMessage.scala | 66 + ...InterstitialReasonToLocalizedMessage.scala | 47 + .../LocalizedInterstitialGenerator.scala | 151 + .../generators/TombstoneGenerator.scala | 94 + .../visibility/interfaces/blender/BUILD | 34 + .../blender/BlenderVisibilityLibrary.scala | 416 ++ .../blender/BlenderVisibilityRequest.scala | 42 + .../blender/CombinedVisibilityResult.scala | 7 + .../twitter/visibility/interfaces/cards/BUILD | 17 + .../cards/CardVisibilityLibrary.scala | 187 + .../CardVisibilityLibraryParityTest.scala | 35 + .../cards/CardVisibilityRequest.scala | 13 + .../visibility/interfaces/common/BUILD.bazel | 15 + .../interfaces/common/blender/BUILD | 14 + .../blender/BlenderVFRequestContext.scala | 19 + .../visibility/interfaces/common/search/BUILD | 14 + .../search/SearchVFRequestContext.scala | 19 + .../visibility/interfaces/common/tweets/BUILD | 17 + .../tweets/StratoSafetyLabelFetcher.scala | 18 + .../tweets/StratoSafetyLabelMapFetcher.scala | 17 + .../interfaces/common/tweets/package.scala | 13 + .../conversations/AdAvoidanceLibrary.scala | 158 + .../visibility/interfaces/conversations/BUILD | 46 + ...melineConversationsVisibilityLibrary.scala | 260 ++ ...melineConversationsVisibilityRequest.scala | 20 + ...elineConversationsVisibilityResponse.scala | 7 + .../interfaces/conversations/Tombstone.scala | 35 + .../TombstoneVisibilityLibrary.scala | 633 +++ .../interfaces/conversations/package.scala | 11 + .../twitter/visibility/interfaces/des/BUILD | 23 + .../des/DESRealtimeVisibilityLibrary.scala | 99 + .../interfaces/des/DESVisibilityLibrary.scala | 72 + .../twitter/visibility/interfaces/dms/BUILD | 32 + .../dms/DmConversationVisibilityLibrary.scala | 94 + .../dms/DmConversationVisibilityRequest.scala | 9 + .../dms/DmEventVisibilityLibrary.scala | 80 + .../dms/DmEventVisibilityRequest.scala | 9 + .../interfaces/dms/DmVisibilityLibrary.scala | 88 + .../visibility/interfaces/dms/package.scala | 12 + .../visibility/interfaces/media/BUILD.bazel | 16 + .../media/MediaVisibilityLibrary.scala | 89 + .../media/MediaVisibilityRequest.scala | 10 + .../visibility/interfaces/notifications/BUILD | 31 + .../notifications/NotificationVFRequest.scala | 9 + .../NotificationsFilteringResponse.scala | 13 + ...tificationsPlatformFilteringResponse.scala | 13 + ...tificationsPlatformVisibilityLibrary.scala | 157 + .../NotificationsVisibilityLibrary.scala | 181 + .../interfaces/push_service/BUILD.bazel | 31 + .../PushServiceSafetyLabelMapFetcher.scala | 21 + .../PushServiceVisibilityLibrary.scala | 179 + .../PushServiceVisibilityLibraryParity.scala | 74 + .../PushServiceVisibilityLibraryUtil.scala | 57 + .../PushServiceVisibilityRequest.scala | 19 + .../PushServiceVisibilityResponse.scala | 52 + .../visibility/interfaces/search/BUILD | 34 + .../search/BatchSearchVisibilityRequest.scala | 9 + .../BatchSearchVisibilityResponse.scala | 5 + .../search/CombinedVisibilityResult.scala | 7 + .../search/SearchVisibilityLibrary.scala | 466 ++ .../interfaces/search/TweetContext.scala | 10 + .../visibility/interfaces/spaces/BUILD | 37 + .../spaces/SpaceVisibilityLibrary.scala | 117 + .../spaces/SpaceVisibilityRequest.scala | 10 + .../visibility/interfaces/tweets/BUILD | 47 + .../DeletedTweetVisibilityLibrary.scala | 59 + .../tweets/QuotedTweetVisibilityLibrary.scala | 150 + .../tweets/TweetVisibilityLibrary.scala | 421 ++ .../TweetVisibilityLibraryParityTest.scala | 109 + .../tweets/TweetVisibilityRequest.scala | 14 + .../interfaces/tweets/TweetypieContext.scala | 59 + ...serUnavailableStateVisibilityLibrary.scala | 138 + ...serUnavailableStateVisibilityRequest.scala | 14 + .../interfaces/tweets/enrichments/BUILD | 25 + .../ComplianceTweetNoticeEnrichment.scala | 55 + .../LimitedActionsPolicyEnrichment.scala | 173 + .../TweetVisibilityNudgeEnrichment.scala | 96 + .../twitter/visibility/interfaces/users/BUILD | 21 + .../users/UserVisibilityLibrary.scala | 111 + .../scala/com/twitter/visibility/models/BUILD | 32 + .../visibility/models/CommunityTweet.scala | 23 + .../twitter/visibility/models/ContentId.scala | 22 + .../visibility/models/LabelSource.scala | 61 + .../models/MediaSafetyLabelType.scala | 89 + .../models/MisinformationPolicy.scala | 179 + .../visibility/models/MutedKeyword.scala | 3 + .../visibility/models/SafetyLabel.scala | 90 + .../models/SafetyLabelMetadata.scala | 25 + .../visibility/models/SafetyLabelType.scala | 7 + .../visibility/models/SafetyLevel.scala | 851 ++++ .../visibility/models/SafetyLevelGroup.scala | 557 +++ .../models/SemanticCoreAnnotation.scala | 3 + .../models/SpaceSafetyLabelType.scala | 95 + .../visibility/models/TweetDeleteReason.scala | 6 + .../models/TweetModelMetadata.scala | 23 + .../visibility/models/TweetSafetyLabel.scala | 360 ++ .../visibility/models/UnitOfDiversion.scala | 16 + .../twitter/visibility/models/UserAge.scala | 15 + .../twitter/visibility/models/UserLabel.scala | 244 ++ .../models/UserSensitiveMediaSettings.scala | 13 + .../models/UserUnavailableStateEnum.scala | 22 + .../visibility/models/ViewerContext.scala | 53 + .../visibility/models/ViolationLevel.scala | 51 + .../twitter/visibility/models/package.scala | 5 + .../com/twitter/visibility/rules/Action.scala | 916 ++++ .../rules/AdvancedFilteringRules.scala | 71 + .../scala/com/twitter/visibility/rules/BUILD | 37 + .../twitter/visibility/rules/CardRules.scala | 52 + .../visibility/rules/ComposableActions.scala | 45 + .../twitter/visibility/rules/Condition.scala | 2401 +++++++++++ .../rules/DmConversationRules.scala | 50 + .../visibility/rules/DmEventRules.scala | 90 + .../rules/DmVisibilityPolicies.scala | 130 + .../visibility/rules/DownrankingRules.scala | 207 + .../visibility/rules/EvaluationContext.scala | 68 + .../visibility/rules/ExperimentBase.scala | 18 + .../rules/FailClosedException.scala | 41 + .../visibility/rules/FollowerRelations.scala | 20 + .../rules/ForEmergencyUseOnly.scala | 100 + .../rules/FreedomOfSpeechNotReach.scala | 705 +++ .../visibility/rules/InterstitialIf.scala | 43 + .../rules/PublicInterestRules.scala | 327 ++ .../com/twitter/visibility/rules/Rule.scala | 215 + .../rules/RuleActionSourceBuilder.scala | 97 + .../twitter/visibility/rules/RuleBase.scala | 238 ++ .../com/twitter/visibility/rules/Rules.scala | 315 ++ .../visibility/rules/SafeSearchRules.scala | 332 ++ .../visibility/rules/SearchBlenderRules.scala | 37 + .../rules/SensitiveMediaSettingsRules.scala | 277 ++ .../twitter/visibility/rules/SpaceRules.scala | 219 + .../visibility/rules/TombstoneIf.scala | 44 + .../rules/ToxicityReplyFilterRules.scala | 28 + .../visibility/rules/TweetLabelRules.scala | 862 ++++ .../twitter/visibility/rules/TweetRules.scala | 594 +++ .../visibility/rules/UserLabelRules.scala | 361 ++ .../UserUnavailableStateTombstoneRules.scala | 120 + .../visibility/rules/VisibilityPolicy.scala | 3778 +++++++++++++++++ .../twitter/visibility/rules/generators/BUILD | 37 + .../rules/generators/RuleGenerator.scala | 8 + .../rules/generators/TweetRuleGenerator.scala | 321 ++ .../generators/TweetVisibilityPolicy.scala | 74 + .../twitter/visibility/rules/package.scala | 5 + .../twitter/visibility/rules/providers/BUILD | 38 + .../providers/InjectedPolicyProvider.scala | 27 + 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cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithScoreAndSocialProof.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ActivePromotedTweetStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/BUILD.bazel create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/BlueVerifiedAnnotationStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/CertoStratoStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserAdGraphStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserTweetGraphStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserVideoGraphStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/CrMixerParamConfigModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/DiffusionStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/EarlybirdRecencyBasedCandidateStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/EmbeddingStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/FrsStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/MHMtlsParamsModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/OfflineCandidateStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RealGraphOonStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RealGraphStoreMhModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RepresentationManagerModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RepresentationScorerModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SampleSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SimClustersANNServiceNameToClientMapper.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SkitStratoStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/StrongTiePredictionStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TripCandidateStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetInfoStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetRecentEngagedUserStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetRecommendationResultsStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TwhinCollabFilterStratoStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TwiceClustersMembersStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UnifiedCacheClient.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserSignalServiceColumnModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserSignalServiceStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserStateStoreModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/ABDeciderModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/CrMixerFlagModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/CrMixerLoggingABDeciderModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/FeatureContextBuilderModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/FeatureSwitchesModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/KafkaProducerModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/LoggerFactoryModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/MemoizingStatsReceiverModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/TimeoutConfigModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/grpc_client/NaviGRPCClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/CertoTopicTweetSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerBasedWalsSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTripSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTwHINSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTwoTowerSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumersBasedUserAdGraphSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumersBasedUserVideoGraphSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/DiffusionBasedSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/EarlybirdSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUnifiedSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUserAdGraphSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUserTweetGraphSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/SimClustersANNSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/SkitTopicTweetSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedQigSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedTwHINSimlarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUnifiedSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserAdGraphSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserTweetGraphSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserVideoGraphSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TwhinCollabFilterLookupSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/UserTweetEntityGraphSimilarityEngineModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/AnnQueryServiceClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/EarlybirdSearchClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/FrsClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/HydraPartitionClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/HydraRootClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/QigServiceClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/SimClustersAnnServiceClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/TweetyPieClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserAdGraphClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetEntityGraphClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetGraphClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetGraphPlusClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserVideoGraphClientModule.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/AdsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BUILD create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BlenderParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BypassInterleaveAndRankParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerBasedWalsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedCandidateGenerationParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTripParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTwHINParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTwoTowerParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserAdGraphParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserTweetGraphParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserVideoGraphParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CrMixerParamConfig.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedCandidateGenerationParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedFTROfflineInterestedInParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedOfflineInterestedInParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedTwhinParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/EarlybirdFrsBasedCandidateGenerationParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/FrsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GlobalParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GoodProfileClickParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GoodTweetClickParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/InterestedInParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedCandidateGenerationParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedUserAdGraphParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedUserTweetGraphParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RankerParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RealGraphInParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RealGraphOonParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentFollowsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentNegativeSignalParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentNotificationsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentOriginalTweetsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentReplyTweetsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentRetweetsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentTweetFavoritesParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetGlobalParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetProducerBasedParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetTweetBasedParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedVideoTweetGlobalParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedVideoTweetTweetBasedParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RepeatedProfileVisitsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/SimClustersANNParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TopicTweetParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedCandidateGenerationParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedTwHINParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserAdGraphParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserTweetGraphParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserVideoGraphParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetSharesParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UnifiedSETweetCombinationMethod.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UnifiedUSSSignalParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UtegTweetGlobalParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/VideoTweetFilterParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/VideoViewTweetsParams.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/BUILD create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/CrMixerDecider.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/DeciderKey.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/EndpointLoadShedder.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/BUILD create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/DefaultRanker.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/SwitchRanker.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe/BUILD create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe/ScribeCategory.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/service/BUILD.bazel create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/service/CrMixerAlertNotificationConfig.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/BUILD create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/CertoTopicTweetSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerBasedWalsSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTripSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTwHINSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTwoTowerSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumersBasedUserAdGraphSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumersBasedUserVideoGraphSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/DiffusionBasedSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdModelBasedSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdRecencyBasedSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngineBase.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngineRouter.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdTensorflowBasedSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/FilterUtil.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/HnswANNSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/LookupSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ModelBasedANNStore.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUnifiedSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUserAdGraphSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUserTweetGraphSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimClustersANNSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimilaritySourceOrderingUtil.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SkitHighPrecisionTopicTweetSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SkitTopicTweetSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/StandardSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedQigSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUnifiedSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserAdGraphSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserTweetGraphSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserVideoGraphSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TwhinCollabFilterSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/UserTweetEntityGraphSimilarityEngine.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/BUILD create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsSourceGraphFetcher.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsSourceSignalFetcher.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsStore.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/RealGraphInSourceGraphFetcher.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/RealGraphOonSourceGraphFetcher.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceFetcher.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceGraphFetcher.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceInfoRouter.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceSignalFetcher.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/UssSourceSignalFetcher.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/UssStore.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/BUILD create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/CandidateGenerationKeyUtil.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/CountWeightedInterleaveUtil.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/EarlybirdSearchUtil.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/InterleaveUtil.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/MetricTagUtil.scala create mode 100644 cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/SignalTimestampStatsUtil.scala create mode 100644 cr-mixer/thrift/src/main/thrift/BUILD create mode 100644 cr-mixer/thrift/src/main/thrift/ads.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/candidate_generation_key.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/cr_mixer.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/frs_based_tweet.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/metric_tags.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/product.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/product_context.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/related_tweet.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/related_video_tweet.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/scribe.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/source_type.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/topic_tweet.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/uteg.thrift create mode 100644 cr-mixer/thrift/src/main/thrift/validation.thrift create mode 100644 docs/system-diagram.png create mode 100644 follow-recommendations-service/BUILD create mode 100644 follow-recommendations-service/CONFIG.ini create mode 100644 follow-recommendations-service/FRS_architecture.png create mode 100644 follow-recommendations-service/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/CandidateSourceRegistry.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/EnrichedCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/ParamPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Predicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/PredicateResult.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Ranker.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/RecommendationFlow.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/SideEffectsUtil.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/StatsUtil.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Transform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/AddressBookParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ForwardEmailBookSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ForwardPhoneBookSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ReverseEmailBookSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ReversePhoneBookSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/CachedCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/ExperimentalCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/RealGraphExpansionRepository.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SimilarUserExpanderParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SimilarUserExpanderRepository.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSourceFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/StratoFetcherSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/StratoFetcherWithUnitViewSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/TweetAuthorsCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/TwoHopExpansionCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/BasePopGeoHashSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopCountryBackFillSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopCountrySource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSourceFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSourceFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeohashSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSourceFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/PromotedAccountsCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonV2Source.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RecentEngagementDirectFollowSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RecentEngagementNonDirectFollowSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/RecentEngagementDirectFollowSalsaExpansionSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/SalsaExpander.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/SalsaExpansionBasedCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/CacheBasedSimsStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/DBV2SimsRefreshStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/DBV2SimsStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/Follow2vecNearestNeighborsStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsExperimentalStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsSourceFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/StratoBasedSimsCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/StratoBasedSimsCandidateSourceWithUnitView.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SwitchingSimsSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/DBV2SimsExpansionParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentFollowingSimilarUsersParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentFollowingSimilarUsersSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentStrongEngagementDirectFollowSimilarUsersSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionBasedCandidateSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSourceFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/BaseOnlineSTPSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/Dbv2StpScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/EpStpScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/MutualFollowStrongTiePredictionSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineMutualFollowExpansionSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceFsConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceWithDensePmiMatrix.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceWithLegacyPmiMatrix.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStrongTiePredictionBaseSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStrongTiePredictionSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceWithDeepbirdV2Scorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceWithEPScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPFirstDegreeFetcher.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPGraphBuilder.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPSecondDegreeFetcher.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/SocialProofEnforcedOfflineStrongTiePredictionSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/img.png create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts/TopOrganicFollowsAccountsFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts/TopOrganicFollowsAccountsParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts/TopOrganicFollowsAccountsSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/README.md create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/TwoHopRandomWalkSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/BUILD create 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create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/Contact.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/EdgeType.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/QueryOption.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/RecordIdentifier.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdRequest.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdserverClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdserverModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/MemcacheClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/MemcacheModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/ThriftBijection.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common/BaseClientModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2/DeepBirdV2PredictionServiceClientModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store/DismissStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/EmailStorageServiceClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/EmailStorageServiceModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/LocationServiceClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/LocationServiceModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/ReverseGeocodeClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/UserLocationFetcher.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/GizmoduckClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/GizmoduckModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/GraphFeatureServiceClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/GraphFeatureStoreModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/ImpressionStoreModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/WtfImpressionStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service/InterestServiceClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/PhoneStorageServiceClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/PhoneStorageServiceModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/Engagement.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/EngagementScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/RealTimeRealGraphClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/SocialGraphClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/SocialGraphModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato/StratoClientModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state/UserStateClient.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/CandidateAlgorithmTypeConstants.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/GuiceNamedConstants.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/ServiceConstants.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/CandidateAlgorithmAdapter.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/ClientContextAdapter.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/PostNuxAlgorithmAdapter.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/PreFetchedFeatureAdapter.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/FeatureSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/FeatureSourceId.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/HasPreFetchedFeature.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/CandidateAlgorithmSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/ClientContextSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureHydrationSourcesFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureHydrationSourcesFeatureSwitchKeys.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreFeatures.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreGizmoduckSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreParameters.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStorePostNuxAlgorithmSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreSourceParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreTimelinesAuthorSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreUserMetricCountsSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/HydrationSourcesModule.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/PreFetchedFeatureSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/UserScoringFeatureSource.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/Utils.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/LocationFeature.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/TrackingTokenFeature.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/UserStateFeature.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/AddressBookMetadata.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/AlgorithmType.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/CandidateUser.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/ClientContextConverter.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/DisplayLocation.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/EngagementType.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FilterReason.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FlowContext.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FlowRecommendation.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/GeohashAndCountryCode.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasAdMetadata.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasByfSeedUserIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDataRecord.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDebugOptions.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDismissedUserIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDisplayLocation.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasEngagements.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasExcludedUserIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasGeohashAndCountryCode.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInfoPerRankingStage.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInterestIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInvalidRelationshipUserIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasIsSoftUser.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasMutualFollowedUserIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasPreviousRecommendationsContext.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasProfileId.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasQualityFactor.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedByUserIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedUserIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedUserIdsWithTime.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentlyEngagedUserIds.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecommendationFlowIdentifier.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasScores.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasSimilarToContext.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasTopicId.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasUserCandidateSourceDetails.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasUserState.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasWtfImpressions.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/OptimusRequest.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Product.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RankingInfo.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Reason.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RecentlyEngagedUserId.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RecommendationStep.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/STPGraph.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/SafetyLevel.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Score.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Session.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/SignalData.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/TrackingToken.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/TweetCandidate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/UserCandidateSourceDetails.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/UserIdAndTimestamp.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/WtfImpression.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CandidateParamPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CandidateSourceParamPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CuratedCompetitorListPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/ExcludedUserIdPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/InactivePredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/InactivePredicateParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/PreviouslyRecommendedUserIdsPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/DismissedCandidatePredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/DismissedCandidatePredicateParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateCache.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicateFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicateParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/InvalidRelationshipPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/RecentFollowingPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsPredicateFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsPredicateParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsRelationshipsByUserIdPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsRelationshipsPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/UserActivityPredicate.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/UserActivityPredicateParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/AdhocScoreModificationType.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/DedupCandidates.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/RankerId.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRanker.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRankerFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRankerParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRanker.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerFeatureSwitchKeys.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRanker.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRankerFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRankerParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/HydrateFeaturesTransform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRanker.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRankerFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRankerParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/AdhocScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/DeepbirdScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/PostnuxDeepbirdProdScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/RandomScorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/Scorer.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/ScorerFactory.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils/Utils.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/CandidateShuffle.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightMethod.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceBaseRanker.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRanker.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRankerFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRankerParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores/LowTweepCredFollowStore.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup/DedupTransform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/ModifySocialProofTransform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/RemoveAccountProofTransform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id/RandomRankerIdTransform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/recommendation_flow_identifier/AddRecommendationFlowIdentifierTransform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/recommendation_flow_identifier/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token/TrackingTokenTransform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransform.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransformFSConfig.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransformParams.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/BUILD create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/CollectionUtil.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/DisplayLocationProductConverterUtil.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/MergeUtil.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/RandomUtil.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/RescueWithStatsUtils.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/UserSignupUtil.scala create mode 100644 follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/Weighted.scala create mode 100644 follow-recommendations-service/server/src/main/resources/BUILD create mode 100644 follow-recommendations-service/server/src/main/resources/config/decider.yml create mode 100644 follow-recommendations-service/server/src/main/resources/logback.xml create mode 100644 follow-recommendations-service/server/src/main/resources/quality/stp_models/20141223/epModel create mode 100644 follow-recommendations-service/server/src/main/resources/quality/stp_models/20141223/trainingConfig create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/FollowRecommendationsServiceThriftServer.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Action.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Config.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/FeedbackAction.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Footer.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Header.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Layout.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/RecommendationOptions.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/SocialProof.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Title.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/WTFPresentation.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders/PromotedAccountsBlender.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/ConfigBuilder.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/DeciderConfigs.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/FeatureSwitchConfigs.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/GlobalFeatureSwitchConfig.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/ParamsFactory.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/RequestContext.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/RequestContextFactory.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserContext.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserContextFactory.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserParamsFactory.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/HydrateCandidateParamsTransform.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common/FeatureSwitchConfig.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/DeciderKey.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/DeciderParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params/GlobalParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/CandidateUserDebugParamsBuilder.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/RecommendationRequestBuilder.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/RequestBuilderUserFetcher.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/ScoringUserRequestBuilder.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/ThriftController.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlow.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlowParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlowRequest.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsUtil.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlow.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceRegistry.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceWeights.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceWeightsParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowFSConfig.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowFeatureSwitchKeys.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderRequest.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderRequestBuilder.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCandidateSourceRegistry.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCandidateSourceWeightParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCombinedRankerBuilder.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlow.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowCandidateSourceWeights.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowFSConfig.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowFeatureSwitchKeys.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequest.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequestBuilder.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequestBuilderParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging/FrsLogger.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/CandidateSourceType.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/CandidateUserDebugParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/DebugParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/DisplayContext.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/FeatureValue.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationFlowData.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationRequest.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationResponse.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/Request.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/ScoringUserRequest.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/ScoringUserResponse.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/failures/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/failures/TimeoutPipelineFailure.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ABDeciderModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ConfigApiModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/DiffyModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/FeatureSwitchesModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/FlagsModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ProductRegistryModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ScorerModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ScribeModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/TimerModule.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/ProdProductRegistry.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/Exceptions.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/Product.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/ProductRegistry.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/ExploreTabProduct.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/ExploreTabFSConfig.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/ExploreTabParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HTLProductMixer.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HomeTimelineProduct.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HomeTimelineStrings.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/HomeTimelineFSConfig.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/HomeTimelineParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/HomeTimelineTweetRecsProduct.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi/HomeTimelineTweetRecsParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/SidebarProduct.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi/SidebarParams.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/BUILD create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/FollowRecommendationsServiceWarmupHandler.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductMixerRecommendationService.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductPipelineSelector.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductPipelineSelectorConfig.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductRecommenderService.scala create mode 100644 follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/RecommendationsService.scala create mode 100644 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home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerHttpServerWarmupHandler.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerServer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerThriftServerWarmupHandler.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceCandidatePipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceCandidatePipelineConfigBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceResponseFeatureTransformer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/EditedTweetsCandidatePipelineConfig.scala create mode 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home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/StaleTweetsCacheCandidateSource.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/AuthorChildFeedbackActionBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/BlockUserChildFeedbackActionBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/DontLikeFeedbackActionBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/EngagerSocialContextBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ExtendedReplySocialContextBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/FeedbackUtil.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/FollowedBySocialContextBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeAdsClientEventDetailsBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeClientEventDetailsBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeConversationServiceCandidateDecorator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeFeedbackActionInfoBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeQueryTypePredicates.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTimelinesScoreInfoBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetSocialContextBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetTypePredicates.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/LikedBySocialContextBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ListConversationServiceCandidateDecorator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/MuteUserChildFeedbackActionBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/NotInterestedTopicFeedbackActionBuilder.scala create 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home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/YouMightLikeSocialContextBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/HomeClientEventInfoBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/HomeConversationModuleMetadataBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/ListClientEventDetailsBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/AddEntriesWithReplaceAndShowAlertAndShowCoverInstructionBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/HomeWhoToFollowFeedbackActionInfoBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/AncestorFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/AuthorFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/DismissInfoQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/EarlybirdFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FeedbackHistoryQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FocalTweetFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FollowedTopicsQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GizmoduckAuthorSafetyFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GizmoduckUserQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GraphTwoHopFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ImpressionBloomFilterQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/LastNonPollingTimeQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ListMembersQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/MetricCenterUserCountingFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/NamesFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/PersistenceStoreQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/PerspectiveFilteredSocialContextFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphInNetworkScoresQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphViewerAuthorFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphViewerRelatedUsersFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealTimeInteractionGraphEdgeFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealTimeInteractionGraphUserVertexQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ReplyFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RequestQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RetweetSourceTweetFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SGSFollowedUsersQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SGSValidSocialContextFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SimClustersEngagementSimilarityFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SocialGraphServiceFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TSPInferredTopicFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TimeFeaturesHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TimelineServiceTweetsQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetImpressionsQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetMetaDataFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieContentFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieStaticEntitiesFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinAuthorFollow20220101FeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinUserEngagementQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinUserFollowQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserFollowedTopicIdsFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserLanguagesFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserStateQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UtegFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features/AuthorFeaturesAdapter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content/ContentFeatureAdapter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird/EarlybirdAdapter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic/InferredTopicAdapter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/NonMLCandidateFeaturesAdapter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/NonMLCommonFeaturesAdapter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/PassThroughAdapter.scala create mode 100644 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home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BaseAggregateQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BaseEdgeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/EdgeAggregateFeatures.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/PartAAggregateQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/PartBAggregateQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Phase1EdgeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Phase2EdgeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Utils.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealTimeAggregateBulkCandidateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealTimeAggregateQueryFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealtimeAggregateHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/EngagementsReceivedByAuthorRealTimeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/RealTimeAggregateTimeDecay.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TopicCountryEngagementRealTimeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TopicEngagementRealTimeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TweetCountryEngagementRealTimeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TweetEngagementRealTimeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TwitterListEngagementRealTimeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/UserAuthorEngagementRealTimeAggregateFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/UserEngagementRealTimeAggregatesFeatureHydrator.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/DropMaxCandidatesFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/FeedbackFatigueFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/InvalidConversationModuleFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/KeepBestOutOfNetworkTweetPerAuthorFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/OutOfNetworkCompetitorFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/OutOfNetworkCompetitorURLFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PredicateFeatureFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PredicateGatedFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslySeenTweetsFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslyServedAncestorsFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslyServedTweetsFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RejectTweetFromViewerFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RetweetDeduplicationFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RetweetSourceTweetRemovingFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/SocialContextFilter.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/DismissFatigueGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/ExcludeSoftUserGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/MinCachedTweetsGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/NonEmptySeqFeatureGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/RequestContextGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/RequestContextNotGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/SupportedLanguagesGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/TimelinesPersistenceStoreLastInjectionGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/ViewerIsListOwnerGate.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer/EditedTweetsCandidatePipelineQueryTransformer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/FeedbackFatigueScorer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/OONTweetScalingScorer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/VerifiedAuthorScalingScorer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/DebunchCandidates.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateConversationModuleId.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateHomeClientEventDetails.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateNewTweetsPillDecoration.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ClientEventsBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/HomeScribeClientEventSideEffect.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/HomeScribeServedEntriesSideEffect.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/PublishClientSentImpressionsEventBusSideEffect.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/PublishClientSentImpressionsManhattanSideEffect.scala create 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home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/TruncateTimelinesPersistenceStoreSideEffect.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateImpressionBloomFilterSideEffect.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateLastNonPollingTimeSideEffect.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateTimelinesPersistenceStoreSideEffect.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/DeviceContextUnmarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerDebugParamsUnmarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerProductContextUnmarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerProductUnmarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerRequestUnmarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/ConversationEntryMarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/PromotedTweetEntryMarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/TweetEntryMarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/WhoToFollowEntryMarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/ChronologicalCursorMarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/ChronologicalCursorUnmarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/DeviceContextMarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/RecommendedUsersCursorUnmarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/TimelineServiceCursorMarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/TopicContextFunctionalityTypeUnmarshaller.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/ClearCacheIncludeInstruction.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/ContentFeatures.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/GapIncludeInstruction.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/HomeAdsQuery.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/HomeFeatures.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/DeviceContext.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HasListId.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HasSeenTweetIds.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerDebugOptions.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerProduct.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerProductContext.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerRequest.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/AdvertiserBrandSafetySettingsStoreModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ClientSentImpressionsPublisherModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ConversationServiceModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/FeedbackHistoryClientModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeAdsCandidateSourceModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeMixerFlagsModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeMixerResourcesModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeNaviModelClientModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ImpressionBloomFilterModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/InjectionHistoryClientModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanClientsModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanFeatureRepositoryModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanTweetImpressionStoreModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/MemcachedFeatureRepositoryModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/OptimizedStratoClientModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/PeopleDiscoveryServiceModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/PipelineFailureExceptionMapper.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/RealGraphInNetworkScoresModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/RealtimeAggregateFeatureRepositoryModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ScoredTweetsMemcacheModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ScribeEventPublisherModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/SimClustersRecentEngagementsClientModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/StaleTweetsCacheModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ThriftFeatureRepositoryModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TimelinesPersistenceStoreClientModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TweetyPieClientModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TweetypieStaticEntitiesCacheClientModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/module/UserMetadataStoreModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/param/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/param/GlobalParamConfigModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeGlobalParamConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeGlobalParams.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeMixerFlagName.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeMixerInjectionNames.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider/DeciderKey.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/HomeMixerProductModule.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/HomeProductPipelineRegistryConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingAdsCandidatePipelineBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdCandidatePipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdQueryTransformer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdResponseFeatureTransformer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingMixerPipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingProductPipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingWhoToFollowArmCandidatePipelineConfigBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/FollowingQuery.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/HomeMixerExternalStrings.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/FollowingParam.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/FollowingParamConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/BUILD.bazel create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouAdsCandidatePipelineBuilder.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouConversationServiceCandidatePipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouProductPipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsCandidatePipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsMixerPipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsResponseFeatureTransformer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerCandidatePipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerMixerPipelineConfig.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerResponseFeatureTransformer.scala create mode 100644 home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouWhoToFollowCandidatePipelineConfigBuilder.scala create mode 100644 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product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/AdsProdStratoCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/AdsProdThriftCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/AdsStagingCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/AnnCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/AnnIdQuery.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/audiospace/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/audiospace/CreatedSpacesCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/business_profiles/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/business_profiles/TeamMembersCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/CrMixerFrsBasedTweetRecommendationsCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/CrMixerTweetRecommendationsCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/earlybird/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/earlybird/EarlybirdTweetCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/explore_ranker/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/explore_ranker/ExploreRankerCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/PromptCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/hermit/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/hermit/UsersSimilarToMeCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/interest_discovery/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/interest_discovery/RelatedTopicsCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/lists/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/lists/OrganicPopGeoListsCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery/PeopleDiscoveryCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/recommendations/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/recommendations/UserFollowRecommendationsCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/social_graph/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/social_graph/SocialgraphCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/social_graph/SocialgraphCursorConstants.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/TimelineRankerInNetworkCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/TimelineRankerRecapCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/TimelineRankerUtegCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/TimelineScorerCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service/TimelineServiceTweetCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timelines_impression_store/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timelines_impression_store/TimelinesImpressionStoreCandidateSourceV2.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/topics/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/topics/FollowedTopicsCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/ConversationServiceCandidateSource.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/ConversationServiceResponseFeatureTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/DropMaxConversationModuleItemCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/SliceItemCandidateDecorator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/CursorCandidateSliceItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtConversationItemCandidateDecorator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtItemCandidateDecorator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtItemInModuleDecorator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtMultipleModulesDecorator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/contextual_ref/ContextualTweetRefBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/conversations/ConversationModuleMetadataBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptModuleGrouping.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptUrtModuleBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/OnboardingInjectionConversions.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/RelevancePromptConversions.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/TilesCarouselConversions.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/icon/HorizonIconBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/ad/AdsCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/DurationParamBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/ShowAlertCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/StaticShowAlertColorConfigurationBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/StaticShowAlertDisplayLocationBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/StaticShowAlertIconDisplayInfoBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/article/ArticleCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/audio_space/AudioSpaceCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/card/CardCandidateUtrItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/commerce/CommerceProductCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/commerce/CommerceProductGroupCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/event_summary/EventCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/generic_summary/GenericSummaryActionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/generic_summary/GenericSummaryCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/generic_summary/GenericSummaryContextBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/icon_label/IconLabelCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/message/CompactPromptCandidateUrtItemStringCenterBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/message/InlinePromptCandidateUrtItemStringCenterBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/message/MessageTextActionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/message/UserFacePileBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/moment/MomentAnnotationCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/relevance_prompt/RelevancePromptCandidateUrtItemStringCenterBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/suggestion/SpellingSuggestionCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/tile/TileCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/ParamTopicDisplayTypeBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/ParamTopicFunctionalityTypeBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/StaticTopicDisplayTypeBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/StaticTopicFunctionalityTypeBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/TopicCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/VerticalGridTopicCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendMetaDescriptionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendPromotedMetadataBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/tweet/TweetCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/twitter_list/TwitterListCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/unified_trend_event/UnifiedTrendEventCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/user/UserCandidateUrtItemBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/ClientEventInfoBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/ConversationTweetClientEventDetailsBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/StaticUrlBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicClientEventDetailsBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicNotInterestedFeedbackActionInfoBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicTweetClientEventDetailsBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicsToFollowModuleMetadataBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/WhoToFollowFeedbackActionInfoBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/operation/CursorCandidateUrtOperationBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/promoted/FeaturePromotedMetadataBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextMarkupUtil.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextReferenceObjectBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextRtlOptionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/StaticRichTextBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextEntityProcessor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextFormatProcessor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextRenderer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextRendererProcessor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextRichTextBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/FeatureSocialContextBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/GeneralModuleSocialContextBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/GeneralSocialContextBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/WhoToFollowSocialContextBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/stringcenter/ModuleStr.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/stringcenter/Str.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/FeatureModuleDisplayTypeBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ModuleDynamicShowMoreBehaviorRevealByCountBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ModuleFooterBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ModuleHeaderBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ModuleHeaderDisplayTypeBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ModuleIdGeneration.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ModuleShowMoreBehaviorRevealByCountBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ParamGatedModuleFooterBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ParamGatedModuleHeaderBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/ParamWhoToFollowModuleDisplayTypeBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/StaticModuleDisplayTypeBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/timeline_module/TimelineModuleBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/experiments/metrics/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/experiments/metrics/MetricDefinitions.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/experiments/metrics/MetricGroup.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/experiments/metrics/MetricTemplateCLIRunner.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/experiments/metrics/MetricTemplates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/experiments/metrics/PlaceholderConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature/featurestorev1/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature/featurestorev1/FeatureStoreV1QueryUserIdFeature.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature/featurestorev1/FeatureStoreV1QueryUserIdTweetCandidateAuthorIdFeature.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature/featurestorev1/FeatureStoreV1QueryUserIdTweetCandidateTweetIdFeature.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature/featurestorev1/FeatureStoreV1TweetCandidateAuthorIdFeature.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature/featurestorev1/FeatureStoreV1TweetCandidateTweetIdFeature.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature/featurestorev1/FeatureStoreV1UserCandidateUserIdFeature.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/ads/AdvertiserBrandSafetySettingsFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/ads/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/decay/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/decay/DecayCandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/param_gated/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/param_gated/ParamGatedBulkCandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/param_gated/ParamGatedCandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/param_gated/featurestorev1/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/param_gated/featurestorev1/ParamGatedFeatureStoreV1CandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/qualityfactor_gated/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/qualityfactor_gated/QualityFactorGatedCandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_is_nsfw/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_is_nsfw/TweetIsNsfwCandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_tlx/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_tlx/TweetTLXScoreCandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_tweetypie/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_tweetypie/TweetTweetypieCandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_visibility_reason/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_visibility_reason/TweetVisibilityReasonBulkCandidateFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/async/AsyncQueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/async/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/cr_ml_ranker/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/cr_ml_ranker/CrMlRankerCommonQueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/cr_ml_ranker/CrMlRankerCommonQueryFeatureHydratorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/cr_ml_ranker/RankingConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/impressed_tweets/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/impressed_tweets/ImpressedTweetsQueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/logged_in_only/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/logged_in_only/LoggedInOnlyQueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/param_gated/AsyncParamGatedQueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/param_gated/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/param_gated/ParamGatedQueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/param_gated/featurestorev1/AsyncParamGatedFeatureStoreV1QueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/param_gated/featurestorev1/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/param_gated/featurestorev1/ParamGatedFeatureStoreV1QueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/qualityfactor_gated/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/qualityfactor_gated/QualityFactorGatedQueryFeatureHydrator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/AdaptiveLongIntBloomFilterDedupFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/ExcludedIdsFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/FeatureFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/FeatureValueConditionalFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/HasAuthorIdFeatureFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/ParamGatedFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/PredicateFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/SnowflakeIdAgeFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/TweetAuthorCountryFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/TweetAuthorIsSelfFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/TweetIsNotReplyFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/TweetLanguageFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/TweetVisibilityFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/UrtUnorderedExcludeIdsCursorFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/list_visibility/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/list_visibility/ListVisibilityFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/tweet_impression/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter/tweet_impression/TweetImpressionFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/DefinedCountryCodeGate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/FeatureGate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/FirstPageGate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/NoCandidatesGate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/NonEmptyAdsQueryStringGate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/NonEmptyCandidatesGate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/QualityFactorGate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/any_candidates_without_feature/AnyCandidatesWithoutFeatureGate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate/any_candidates_without_feature/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/ArticleCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/AudioSpaceCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/CardCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/CommerceItemCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/CursorCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/DMConvoCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/DMEventCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/GenericSummaryCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/LabelCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/MomentAnnotationCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/PromptCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/ShowAlertCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/TopicCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/TweetCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/TwitterListCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/UserCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/ads/AdsCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/ads/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/hubble/AdCreativeCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/hubble/AdGroupCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/hubble/AdUnitCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/hubble/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/hubble/CampaignCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/hubble/FundingSourceCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/suggestion/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/suggestion/QuerySuggestionCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/suggestion/SpellingSuggestionCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/trends_events/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/trends_events/UnifiedTrendEventCandidate.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor/OrderedCursor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor/PassThroughCursor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor/UnorderedBloomFilterCursor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor/UnorderedExcludeIdsCursor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor/UrtPlaceholderCursor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/feature/flexible_injection_pipeline/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/slice/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/slice/SliceItemPresentation.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt/ConversationModuleItem.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt/UrtItemPresentation.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt/UrtModulePresentation.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt/UrtOperationPresentation.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads/AdsQuery.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/AccountRecommendationsMixerModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/ConversationServiceModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/CrMixerClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/DarkTrafficFilterModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/EarlybirdModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/ExploreRankerClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/FollowRecommenderServiceModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/GizmoduckClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/HomeScorerClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/InterestsDiscoveryServiceModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/OnboardingTaskServiceModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/PeopleDiscoveryServiceModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/SocialGraphServiceModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/TimelineMixerClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/TimelineRankerClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/TimelineScorerClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/TimelineServiceClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/TweetImpressionStoreModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/TweetyPieClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/UserSessionStoreModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/cr_ml_ranker/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/cr_ml_ranker/CrMlRankerModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/http/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/http/FinagleHttpClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/http/FinagleHttpClientWithCredentialProxyModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/http/FinagleHttpClientWithProxyModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/http/FinatraHttpClientModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/http/FinatraHttpClientWithCredentialProxyModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/http/FinatraHttpClientWithProxyModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module/http/ProxyCredentialsModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/AdsCandidatePipelineConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/AdsCandidatePipelineConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/AdsCandidatePipelineQueryTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/AdsCandidatePipelineResultsTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/AdsDependentCandidatePipelineConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/AdsDependentCandidatePipelineConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/AdsDependentCandidatePipelineQueryTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/AdsDisplayLocationBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/CountNumOrganicItems.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/GetOrganicItemIds.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/PromotedTweetsOnlyFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads/ValidAdImpressionIdFilter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/FlipPromptCandidatePipelineConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/FlipPromptCandidatePipelineConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/FlipPromptDependentCandidatePipelineConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/FlipPromptDependentCandidatePipelineConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/transformer/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/transformer/FlipCandidateFeatureTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/transformer/FlipInjectionParams.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/transformer/FlipQueryTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/transformer/PromptResultsTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowArmCandidateDecorator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowArmCandidatePipelineConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowArmCandidatePipelineQueryTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowArmDependentCandidatePipelineConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowArmDependentCandidatePipelineConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowArmResponseFeatureTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowCandidateDecorator.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowCandidatePipelineConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowCandidatePipelineConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowCandidatePipelineQueryTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowClientEventDetailsBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowDependentCandidatePipelineConfig.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowDependentCandidatePipelineConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module/WhoToFollowResponseFeatureTransformer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/cursor/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/cursor/CursorSerializer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/cursor/UrtCursorSerializer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/SliceDomainMarshaller.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/OrderedNextCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/OrderedNextCursorUpdater.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/OrderedPreviousCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/OrderedPreviousCursorUpdater.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/ShouldInclude.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/SliceBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/SliceCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/slice/builder/SliceCursorUpdater.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urp/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urp/UrpDomainMarshaller.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urp/builder/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urp/builder/PageBodyBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urp/builder/PageHeaderBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urp/builder/PageNavBarBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urp/builder/StaticTimelineScribeConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urp/builder/TimelineScribeConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/UndecoratedUrtDomainMarshaller.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/UrtDomainMarshaller.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/AddEntriesInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/AddEntriesWithAddToModuleInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/AddEntriesWithPinnedAndReplaceInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/AddEntriesWithReplaceAndShowAlertInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/AddEntriesWithReplaceInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/AddEntriesWithShowCoverInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/AddToModuleInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/BaseUnorderedExcludeIdsBottomCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/ClearCacheInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/FeaturePassThroughCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/IncludeInstruction.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/MarkUnreadInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/OrderedBottomCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/OrderedGapCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/OrderedTopCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/PinEntryInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/PlaceholderTopCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/ReplaceEntryInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/ShowAlertInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/ShowCoverInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/StaticTimelineScribeConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/TerminateInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/TimelineScribeConfigBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/UnorderedBloomFilterBottomCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/UnorderedExcludeIdsBottomCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/UnorderedExcludeIdsSeqBottomCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/UrtBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/UrtCursorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/UrtCursorUpdater.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/UrtInstructionBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder/UrtMetadataBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/common/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/common/MLModelInferenceClient.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/common/ManagedModelClient.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/common/ModelSelector.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/common/NaviModelClient.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cortex/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cortex/CortexManagedInferenceServiceDataRecordScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cortex/CortexManagedInferenceServiceDataRecordScorerBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cortex/CortexManagedInferenceServiceTensorScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cortex/CortexManagedInferenceServiceTensorScorerBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cortex/ModelFeatureExtractor.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cr_ml_ranker/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cr_ml_ranker/CrMlRankerScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/cr_ml_ranker/CrMlRankerStitchClient.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/deepbird/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/deepbird/BaseDeepbirdV2Scorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/deepbird/DeepbirdV2PredictionServerScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/deepbird/LollyPredictionEngineScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/deepbird/TensorflowPredictionEngineScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/param_gated/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/param_gated/ParamGatedScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/qualityfactor_gated/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/qualityfactor_gated/QualityFactorGatedScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/BooleanInferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/BytesInferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/CandidateInferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/Float32InferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/FloatTensorInferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/InferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/Int64InferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/ModelInferRequestBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/QueryInferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tensorbuilder/SparseMapInferInputTensorBuilder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tweet_tlx/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tweet_tlx/TweetTLXStratoScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tweet_tlx/TweetTLXThriftScorer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/Bucketer.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/CandidateMergeStrategy.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/CandidatePositionInResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DeduplicationKey.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropAllCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropDuplicateCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropDuplicateModuleItemCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropDuplicateResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropFilteredCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropFilteredModuleItemCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropMaxCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropMaxModuleItemCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropMaxResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropModuleTooFewModuleItemResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropNonDuplicateCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropOrthogonalCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropRequestedMaxModuleItemCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropRequestedMaxResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropSelector.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DropTooFewResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/DynamicPositionSelector.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertAppendIntoModuleCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertAppendPatternResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertAppendRatioResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertAppendResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertAppendWeaveResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertAppendWithoutFeatureResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertDynamicPositionResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertFixedPositionIntoModuleCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertFixedPositionResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertIntoModule.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertPerCandidateDynamicPositionResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertRandomPositionResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertRelativePositionResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/InsertSelector.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/SelectConditionally.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/SelectFromSubpoolCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/UpdateSortCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/UpdateSortModuleItemCandidates.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/UpdateSortResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/ads/AdsInjector.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/ads/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/ads/InsertAdResults.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/FeatureValueSorter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/RandomShuffleSorter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/ReverseSorter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/SortOrder.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/SorterFromOrdering.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/SorterProvider.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/featurestorev1/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/sorter/featurestorev1/FeatureStoreV1FeatureValueSorter.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/BUILD create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/KafkaPublishingSideEffect.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/ParamGatedPipelineResultSideEffect.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/ScribeClientEventSideEffect.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/ScribeLogEventAsyncSideEffect.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/ScribeLogEventSideEffect.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/StratoInsertSideEffect.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/UserSessionStoreUpdateSideEffect.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/metrics/BUILD.bazel create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/metrics/CandidateMetricFunction.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/metrics/ScribeClientEventMetricsSideEffect.scala create mode 100644 product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect/metrics/ScribeClientEventMetricsSideEffectBuilder.scala create mode 100644 product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope/BUILD create mode 100644 product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope/ProductScoped.java create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers/AlertConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers/DebugTwitterContext.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers/GetComponentRegistryHandler.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers/GetDebugConfigurationHandler.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers/PredicateConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers/ProductMixerController.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers/QualityFactorMonitoringConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/Feature.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/datarecord/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/datarecord/DataRecordCompatible.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/datarecord/DataRecordFeature.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/FeatureMap.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/FeatureMapBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/FeatureMapException.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/FeatureMapSerializer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/asyncfeaturemap/AsyncFeatureMap.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/asyncfeaturemap/AsyncFeatureMapSerializer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/asyncfeaturemap/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord/DataRecordConverter.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord/DataRecordExtractor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord/FeaturesScope.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/featurestorev1/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/featurestorev1/FeatureStoreV1FeatureMap.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featurestorev1/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featurestorev1/FeatureStoreV1Entity.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featurestorev1/FeatureStoreV1Feature.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featurestorev1/featurevalue/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featurestorev1/featurevalue/FeatureStoreV1Response.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/access_policy/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/CandidateSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/CandidatesWithSourceFeatures.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/PassthroughCandidateSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/StaticCandidateSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/product_pipeline/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/product_pipeline/ProductPipelineCandidateSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/StratoErrCategorizer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/StratoKeyFetcherSeqSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/StratoKeyFetcherSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/StratoKeyFetcherWithSourceFeaturesSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/StratoKeyView.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/StratoKeyViewFetcherSeqSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/StratoKeyViewFetcherSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato/StratoKeyViewFetcherWithSourceFeaturesSource.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/CandidateScope.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/access_policy/AccessPolicy.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/access_policy/AccessPolicyEvaluator.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/access_policy/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/access_policy/WithDebugAccessPolicies.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/Alert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/AlertType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/EmptyResponseRateAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/GenericClientLatencyAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/GenericClientSuccessRateAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/GenericClientThroughputAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/IsObservableFromStrato.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/LatencyAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/NotificationGroup.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/Percentile.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/ResponseSizeAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/Source.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/StratoColumnAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/SuccessRateAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/ThroughputAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/predicate/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/predicate/MetricGranularity.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/predicate/Operator.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/predicate/Predicate.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/predicate/TriggerIfAbove.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/predicate/TriggerIfBelow.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common/alert/predicate/TriggerIfLatencyAbove.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/ConfigBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/ParamsBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/RequestContext.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/RequestContextBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/StaticParam.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/registry/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/registry/GlobalParamConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/registry/GlobalParamRegistry.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/registry/ParamConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi/registry/ParamConfigBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/CandidateDecorator.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/Decoration.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/slice/builder/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/slice/builder/CandidateSliceItemBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/CandidateUrtEntryBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/icon/BaseHorizonIconBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/alert/BaseDurationBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/alert/BaseShowAlertColorConfigurationBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/alert/BaseShowAlertDisplayLocationBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/alert/BaseShowAlertIconDisplayInfoBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/alert/BaseShowAlertNavigationMetadataBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/alert/BaseShowAlertUserIdsBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/topic/BaseTopicDisplayTypeBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/topic/BaseTopicFunctionalityTypeBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/tweet/BaseEntryIdToReplaceBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/tweet/BaseTimelinesScoreInfoBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/tweet/BaseTweetHighlightsBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/item/user/BaseUserReactiveTriggersBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/metadata/BaseClientEventDetailsBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/metadata/BaseClientEventInfoBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/metadata/BaseFeedbackActionInfoBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/metadata/BaseModuleStr.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/metadata/BaseStr.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/metadata/BaseUrlBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/promoted/BasePromotedMetadataBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/richtext/BaseRichTextBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/social_context/BaseModuleSocialContextBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/social_context/BaseSocialContextBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/stringcenter/BaseModuleStringCenterPlaceholderBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/stringcenter/BaseStringCenterPlaceholderBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/timeline_module/BaseModuleDisplayTypeBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/timeline_module/BaseModuleFooterBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/timeline_module/BaseModuleHeaderBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/timeline_module/BaseModuleHeaderDisplayTypeBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/timeline_module/BaseModuleMetadataBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/timeline_module/BaseModuleShowMoreBehaviorBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder/timeline_module/BaseTimelineModuleBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/CandidateFeatureHydrator.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/FeatureHydrator.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/HydratorCandidateResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/QueryFeatureHydrator.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/featurestorev1/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/featurestorev1/FeatureStoreDatasetErrorHandler.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/featurestorev1/FeatureStoreV1CandidateFeatureHydrator.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/featurestorev1/FeatureStoreV1DynamicClientBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/featurestorev1/FeatureStoreV1HydrationConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator/featurestorev1/FeatureStoreV1QueryFeatureHydrator.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/filter/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/filter/Filter.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/filter/FilterResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/gate/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/gate/Gate.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/gate/GateResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/gate/ShouldContinue.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/TransportMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request/ClientContextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request/ClientContextUnmarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request/FeatureValueUnmarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/graphql/contextual_ref/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/graphql/contextual_ref/ContextualTweetRefMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/graphql/contextual_ref/OuterTweetContextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/graphql/contextual_ref/TweetHydrationContextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/rtf/safety_level/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/rtf/safety_level/SafetyLevelMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/slice/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/slice/CursorTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/slice/SliceItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/slice/SliceTransportMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/PageBodyMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/PageHeaderMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/PageNavBarMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/SegmentedTimelineMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/SegmentedTimelinesMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/TimelineKeyMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/TitleNavBarMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/TopicPageHeaderDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/TopicPageHeaderFacepileMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/TopicPageHeaderMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/TopicPageNavBarMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/UrpTransportMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urp/UrpTransportMarshallerBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/AddEntriesInstructionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/AddToModuleInstructionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/CoverMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/MarkEntriesUnreadInstructionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/ModuleItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/ModuleItemTreeDisplayMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/PinEntryInstructionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/ReaderModeConfigMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/ReplaceEntryInstructionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/ShowAlertInstructionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TerminateTimelineInstructionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineEntryContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineEntryMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineInstructionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineItemContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineMetadataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineModuleMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineOperationMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/TimelineScribeConfigMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/UrtTransportMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/UrtTransportMarshallerBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/alert/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/alert/ShowAlertColorConfigurationMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/alert/ShowAlertDisplayLocationMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/alert/ShowAlertIconDisplayInfoMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/alert/ShowAlertIconMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/alert/ShowAlertNavigationMetadataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/alert/ShowAlertTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/button/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/button/ButtonStyleMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/button/CtaButtonMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/button/IconCtaButtonMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/button/TextCtaButtonMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/color/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/color/ColorMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/color/ColorPaletteMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/color/RosettaColorMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/CoverContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/CoverCtaBehaviorMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/CoverCtaMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/CoverImageMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/FullCoverContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/FullCoverDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/HalfCoverContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/cover/HalfCoverDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/icon/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/icon/HorizonIconMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/article/ArticleDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/article/ArticleItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/article/ArticleSeedTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/audio_space/AudioSpaceItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/card/CardDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/card/CardItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/commerce/CommerceProductGroupItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/commerce/CommerceProductItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/conversation_annotation/ConversationAnnotationMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/conversation_annotation/ConversationAnnotationTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/event/EventSummaryDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/event/EventSummaryItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/forward_pivot/ForwardPivotDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/forward_pivot/ForwardPivotMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/forward_pivot/SoftInterventionDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/generic_summary_item/GenericSummaryActionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/generic_summary_item/GenericSummaryContextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/generic_summary_item/GenericSummaryDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/generic_summary_item/GenericSummaryItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/highlight/HighlightedSectionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/icon_label/IconLabelItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/label/LabelDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/label/LabelItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/CompactPromptMessageContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/HeaderImagePromptMessageContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/InlinePromptMessageContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/MessageActionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/MessageActionTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/MessageContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/MessageImageMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/MessagePromptItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/MessageTextActionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/UserFacepileDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/message/UserFacepileMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/moment/MomentAnnotationItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/prompt/PromptContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/prompt/PromptItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/prompt/RelevancePromptContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/prompt/RelevancePromptDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/prompt/RelevancePromptFollowUpFeedbackTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/prompt/RelevancePromptFollowUpTextInputMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/suggestion/SpellingActionTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/suggestion/SpellingItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/suggestion/TextResultMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/thread/ThreadHeaderContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/thread/ThreadHeaderItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tile/CallToActionTileContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tile/StandardTileContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tile/TileContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tile/TileItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tombstone/TombstoneDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tombstone/TombstoneInfoMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tombstone/TombstoneItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/topic/TopicDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/topic/TopicFollowPromptDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/topic/TopicFollowPromptItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/topic/TopicFunctionalityTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/topic/TopicItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/trend/TrendItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tweet/TimelinesScoreInfoMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tweet/TweetDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tweet/TweetHighlightsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tweet/TweetItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tweet_composer/TweetComposerDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/tweet_composer/TweetComposerItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/twitter_list/TwitterListDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/twitter_list/TwitterListItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/user/UserDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/user/UserItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/user/UserReactiveTriggersMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/vertical_grid_item/VerticalGridItemContentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/vertical_grid_item/VerticalGridItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/vertical_grid_item/VerticalGridItemTileStyleMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/vertical_grid_item/VerticalGridItemTopicFunctionalityTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/item/vertical_grid_item/VerticalGridItemTopicTileMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/media/AspectRatioMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/media/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/media/BroadcastIdMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/media/MediaEntityMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/media/MediaKeyMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/media/MediaMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/media/RectMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/media/TweetMediaMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ArticleDetailsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/BadgeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/CallbackMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ChildFeedbackActionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ClientEventDetailsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ClientEventInfoMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/CommerceDetailsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ConfirmationDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ConversationDetailsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ConversationSectionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/DismissInfoMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/FeedbackActionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/FeedbackDisplayContextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/FeedbackInfoMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/FeedbackTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/GeneralContextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/GeneralContextTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ImageAnimationTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ImageDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/ImageVariantMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/LiveEventDetailsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/RichFeedbackBehaviorMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/SocialContextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/TimelinesDetailsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/TopicContextFunctionalityTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/TopicContextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/UrlMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/UrlTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/metadata/UrtEndpointOptionsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/operation/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/operation/CursorDisplayTreatmentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/operation/CursorItemMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/operation/CursorOperationMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/operation/CursorTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/AdMetadataContainerMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/CallToActionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/ClickTrackingInfoMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/DisclaimerTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/DisclosureTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/DynamicPrerollTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/MediaInfoMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/PrerollMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/PrerollMetadataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/PromotedMetadataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/SkAdNetworkDataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/SponsorshipTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/UrlOverrideTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/promoted/VideoVariantsMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/reaction/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/reaction/TimelineReactionMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/richtext/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/richtext/ReferenceObjectMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/richtext/RichTextAlignmentMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/richtext/RichTextEntityMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/richtext/RichTextFormatMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/richtext/RichTextMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/AdsMetadataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/GridCarouselMetadataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/ModuleConversationMetadataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/ModuleDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/ModuleFooterMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/ModuleHeaderDisplayTypeMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/ModuleHeaderMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/ModuleMetadataMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/ModuleShowMoreBehaviorMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt/timeline_module/ModuleShowMoreBehaviorRevealByCountMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/premarshaller/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/premarshaller/DomainMarshaller.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/scorer/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/scorer/ScoredCandidateResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/scorer/Scorer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/selector/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/selector/Selector.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/selector/SelectorResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/side_effect/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/side_effect/ExecuteSynchronously.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/side_effect/PipelineResultSideEffect.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/side_effect/SideEffect.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer/CandidateFeatureTransformer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer/CandidatePipelineQueryTransformer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer/CandidatePipelineResultsTransformer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer/FeatureTransformer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer/Transformer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/gate/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/gate/DenyLoggedOutUsersGate.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/gate/ParamGate.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/gate/ParamNotGate.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/CandidateWithFeatures.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/Component.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/Conditionally.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/UniversalNoun.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/CandidatePipelineIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/CandidateSourceIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/ComponentIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/ComponentIdentifierSerializer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/ComponentIdentifierStack.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/ComponentIdentifierStackSerializer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/DecoratorIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/DomainMarshallerIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/FeatureHydratorIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/FilterIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/GateIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/MixerPipelineIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/PipelineStepIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/PlatformIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/ProductIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/ProductPipelineIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/RecommendationPipelineIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/RootIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/ScorerIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/ScoringPipelineIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/SelectorIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/SideEffectIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/TransformerIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier/TransportMarshallerIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/CandidateFeatures.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/CandidateWithDetails.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/ItemPresentation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/ModulePresentation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/UniversalPresentation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/slice/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/slice/BaseSliceItemPresentation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/urt/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/urt/BaseUrtItemPresentation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/urt/BaseUrtModulePresentation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/urt/BaseUrtOperationPresentation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/urt/IsDispensable.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/urt/WithItemTreeDisplay.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/HasMarshalling.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/ClientContext.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/DebugOptions.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/DebugParams.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/HasExcludedIds.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/HasSerializedRequestCursor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/Product.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/ProductContext.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request/Request.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/rtf/safety_level/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/rtf/safety_level/SafetyLevel.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/slice/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/slice/SliceItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/Page.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/PageBody.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/PageHeader.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/PageNavBar.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/SegmentedTimeline.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/TimelineKey.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/TopicPageHeaderDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urp/TopicPageHeaderFacepile.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/Cover.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/EntryNamespace.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/HasEntryIdentifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/HasExpirationTime.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/HasSortIndex.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/ModuleItemTreeDisplay.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/ReaderModeConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/ShowAlert.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/Timeline.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/TimelineEntry.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/TimelineInstruction.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/TimelineMetadata.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/TimelineScribeConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert/ShowAlertColorConfiguration.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert/ShowAlertDisplayLocation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert/ShowAlertIcon.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert/ShowAlertIconDisplayInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert/ShowAlertNavigationMetadata.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert/ShowAlertType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/button/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/button/ButtonStyle.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/button/CtaButton.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/color/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/color/Color.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/color/ColorPalette.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/color/RosettaColor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/contextual_ref/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/contextual_ref/ContextualTweetRef.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/contextual_ref/OuterTweetContext.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/contextual_ref/TweetHydrationContext.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover/CoverContent.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover/CoverCta.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover/CoverCtaBehavior.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover/CoverImage.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover/FullCoverDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover/HalfCoverDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover/ShowCover.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/icon/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/icon/HorizonIcon.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/article/ArticleDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/article/ArticleItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/article/ArticleSeedType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/audio_space/AudioSpaceItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/card/CardDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/card/CardItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/commerce/CommerceProductGroupItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/commerce/CommerceProductItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/conversation_annotation/ConversationAnnotation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/conversation_annotation/ConversationAnnotationType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/event/EventSummaryDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/event/EventSummaryItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/forward_pivot/ForwardPivot.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/forward_pivot/ForwardPivotDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/forward_pivot/SoftInterventionDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/generic_summary/GenericSummaryAction.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/generic_summary/GenericSummaryContext.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/generic_summary/GenericSummaryDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/generic_summary/GenericSummaryItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/highlight/HighlightedSection.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/icon_label/IconLabelItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/label/LabelDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/label/LabelItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/message/MessageAction.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/message/MessageActionType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/message/MessageContent.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/message/MessageImage.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/message/MessagePromptItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/message/MessageTextAction.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/message/UserFacepile.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/message/UserFacepileDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/moment/MomentAnnotationItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/prompt/PromptContent.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/prompt/PromptItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/prompt/RelevancePromptDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/prompt/RelevancePromptFollowUpFeedbackType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/suggestion/SpellingActionType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/suggestion/SpellingItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/suggestion/TextResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/thread/ThreadHeaderContent.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/thread/ThreadHeaderItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tile/TileContent.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tile/TileItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tombstone/TombstoneDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tombstone/TombstoneInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tombstone/TombstoneItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/topic/TopicDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/topic/TopicFollowPromptDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/topic/TopicFollowPromptItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/topic/TopicFunctionalityType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/topic/TopicItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/trend/TrendItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tweet/TimelinesScoreInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tweet/TweetDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tweet/TweetHighlights.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tweet/TweetItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tweet_composer/TweetComposerDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/tweet_composer/TweetComposerItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/twitter_list/TwitterListDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/twitter_list/TwitterListItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/user/UserDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/user/UserItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/user/UserReactiveTriggers.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/vertical_grid_item/VerticalGridItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/vertical_grid_item/VerticalGridItemTileStyle.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item/vertical_grid_item/VerticalGridItemTopicFunctionalityType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/media/AspectRatio.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/media/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/media/Media.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/media/MediaEntity.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/media/MediaKey.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/media/Rect.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ArticleDetails.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/Badge.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/Callback.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ClientEventInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/CommerceDetails.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ConfirmationDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ConversationDetails.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ConversationSection.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/DismissInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/FeedbackAction.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/FeedbackActionInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/FeedbackInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/FeedbackType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ImageAnimationType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ImageDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ImageVariant.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/LiveEventDetails.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/MarkUnreadableEntry.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/PinnableEntry.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ReplaceableEntry.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/ReplyPinState.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/RichFeedbackBehavior.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/SocialContext.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/TimelinesDetails.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata/Url.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/operation/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/operation/CursorDisplayTreatment.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/operation/CursorItem.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/operation/CursorOperation.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/operation/CursorType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/AdMetadataContainer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/CallToAction.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/ClickTrackingInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/DisclaimerType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/DisclosureType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/DynamicPrerollType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/MediaInfo.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/Preroll.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/PrerollMetadata.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/PromotedMetadata.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/SkAdNetworkData.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/SponsorshipType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/UrlOverrideType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/promoted/VideoVariant.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/reaction/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/reaction/TimelineReaction.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/reaction/TimelineReactionExecution.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/richtext/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/richtext/ReferenceObject.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/richtext/RichText.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/richtext/RichTextAlignment.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/richtext/RichTextEntity.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/richtext/RichTextFormat.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/AdsMetadata.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/GridCarouselMetadata.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/ModuleConversationMetadata.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/ModuleDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/ModuleFooter.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/ModuleHeader.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/ModuleHeaderDisplayType.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/ModuleMetadata.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module/ModuleShowMoreBehavior.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/ABDeciderModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/ConfigApiModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/FeatureSwitchesModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/LoggingThrowableExceptionMapper.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/PipelineExecutionLoggerModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/ProductMixerModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/StratoClientModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/product_mixer_flags/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/product_mixer_flags/ProductMixerFlagModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/stringcenter/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/stringcenter/ProductScopeStringCenterModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/CandidatePipelineFeatures.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/FailOpenPolicy.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/InvalidStepStateException.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/NewPipelineArrowBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/NewPipelineBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/NewPipelineResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/NewStepData.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/Pipeline.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/PipelineBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/PipelineConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/PipelineCursor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/PipelineCursorSerializer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/PipelineQuery.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/PipelineResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate/CandidatePipeline.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate/CandidatePipelineBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate/CandidatePipelineBuilderFactory.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate/CandidatePipelineConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate/CandidatePipelineResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate/PassthroughCandidatePipelineConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate/StaticCandidatePipelineConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer/MixerPipeline.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer/MixerPipelineBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer/MixerPipelineBuilderFactory.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer/MixerPipelineConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer/MixerPipelineResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/pipeline_failure/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/pipeline_failure/PipelineFailure.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/pipeline_failure/PipelineFailureCategory.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/pipeline_failure/PipelineFailureClassifier.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/pipeline_failure/PipelineFailureSerializer.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product/ProductPipeline.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product/ProductPipelineBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product/ProductPipelineBuilderFactory.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product/ProductPipelineConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product/ProductPipelineRequest.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product/ProductPipelineResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation/RecommendationPipeline.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation/RecommendationPipelineBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation/RecommendationPipelineBuilderFactory.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation/RecommendationPipelineConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation/RecommendationPipelineResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring/NewScoringPipelineBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring/ScoringPipeline.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring/ScoringPipelineBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring/ScoringPipelineBuilderFactory.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring/ScoringPipelineConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring/ScoringPipelineResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasAsyncFeatureMap.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasCandidates.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasCandidatesWithDetails.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasCandidatesWithFeatures.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasExecutorResults.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasParams.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasQuery.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasRequest.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/state/HasResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/Step.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/async_feature_map/AsyncFeatureMapStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/async_feature_map/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/candidate_feature_hydrator/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/candidate_feature_hydrator/CandidateFeatureHydratorStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/candidate_source/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/candidate_source/CandidateSourceStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/decorator/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/decorator/DecoratorStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/domain_marshaller/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/domain_marshaller/DomainMarshallerStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/filter/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/filter/FilterStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/gate/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/gate/GateStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/group_results/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/group_results/GroupResultsStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/pipeline_executor/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/pipeline_executor/PipelineExecutorStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/pipeline_selector/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/pipeline_selector/PipelineSelectorStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/quality_factor/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/quality_factor/QualityFactorStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/query_feature_hydrator/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/query_feature_hydrator/QueryFeatureHydratorStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/query_transformer/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/query_transformer/QueryTransformerStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/scorer/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/scorer/ScorerStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/selector/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/selector/SelectorStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/side_effect/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/side_effect/SideEffectStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/transport_marshaller/BUILD.bazel create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/step/transport_marshaller/TransportMarshallerStep.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/ProductParamConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/ProductParamConfigBuilder.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice/ProductScope.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice/ProductScopeModule.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice/SimpleScope.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry/ProductParamRegistry.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry/ProductPipelineRegistry.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry/ProductPipelineRegistryConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/Bounds.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/LinearLatencyQualityFactor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/LinearLatencyQualityFactorObserver.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/QualityFactor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/QualityFactorConfig.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/QualityFactorObserver.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/QualityFactorStatus.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/QueriesPerSecondBasedQualityFactor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/QueriesPerSecondBasedQualityFactorObserver.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor/QueryRateCounter.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/Executor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/ExecutorObserver.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/ExecutorResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/async_feature_map_executor/AsyncFeatureMapExecutor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/async_feature_map_executor/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_decorator_executor/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_decorator_executor/CandidateDecoratorExecutor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_decorator_executor/CandidateDecoratorExecutorResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_feature_hydrator_executor/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_feature_hydrator_executor/CandidateFeatureHydratorExecutor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_feature_hydrator_executor/CandidateFeatureHydratorExecutorResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_feature_transformer_executor/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_feature_transformer_executor/CandidateFeatureTransformerExecutor.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_feature_transformer_executor/CandidateFeatureTransformerExecutorResult.scala create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_pipeline_executor/BUILD create mode 100644 product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/candidate_pipeline_executor/CandidatePipelineExecutor.scala create mode 100644 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product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/http_client/HttpHostPort.scala create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/manhattan_client/BUILD create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/manhattan_client/ManhattanClientBuilder.scala create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/memcached_client/BUILD create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/memcached_client/MemcachedClientBuilder.scala create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/observer/BUILD create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/observer/Observer.scala create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/observer/ResultsObserver.scala create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/observer/ResultsStatsObserver.scala create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/thrift_client/BUILD create mode 100644 product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/thrift_client/FinagleThriftClientBuilder.scala create mode 100644 recos-injector/BUILD.bazel create mode 100644 recos-injector/CONFIG.ini create mode 100644 recos-injector/README.md create mode 100644 recos-injector/server/BUILD create mode 100644 recos-injector/server/config/BUILD create mode 100755 recos-injector/server/config/change_log_config.ini create mode 100644 recos-injector/server/config/decider.yml create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/BUILD create mode 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recos-injector/server/src/main/scala/com/twitter/recosinjector/config/Config.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/config/DeployConfig.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/config/ProdConfig.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/config/StagingConfig.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/decider/BUILD create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/decider/RecosInjectorDecider.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/BUILD create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/Edges.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/EventToMessageBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/SocialWriteEventToUserUserGraphBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/TimelineEventToUserTweetEntityGraphBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/TimelineEventToUserTweetGraphBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/TweetEventToUserTweetEntityGraphBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/TweetEventToUserTweetGraphBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/TweetEventToUserUserGraphBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/UnifiedUserActionToUserAdGraphBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/UnifiedUserActionToUserTweetGraphPlusBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/UnifiedUserActionToUserVideoGraphBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/edges/UserTweetEntityEdgeBuilder.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/event_processors/BUILD create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/event_processors/EventBusProcessor.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/event_processors/SocialWriteEventProcessor.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/event_processors/TimelineEventProcessor.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/event_processors/TweetEventProcessor.scala create mode 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recos-injector/server/src/main/scala/com/twitter/recosinjector/uua_processors/UnifiedUserActionProcessor.scala create mode 100644 recos-injector/server/src/main/scala/com/twitter/recosinjector/uua_processors/UnifiedUserActionsConsumer.scala create mode 100644 science/search/ingester/config/README.md create mode 100644 science/search/ingester/config/pipeline-indexer.userupdates.xml create mode 100644 science/search/ingester/config/pipeline-ingester.protected.xml create mode 100644 science/search/ingester/config/pipeline-ingester.realtime.xml create mode 100644 science/search/ingester/config/pipeline-ingester.realtime_cg.xml create mode 100644 simclusters-ann/BUILD.bazel create mode 100644 simclusters-ann/README.md create mode 100644 simclusters-ann/server/BUILD create mode 100644 simclusters-ann/server/src/main/resources/BUILD create mode 100644 simclusters-ann/server/src/main/resources/config/decider.yml create mode 100644 simclusters-ann/server/src/main/resources/logback.xml create 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simclusters-ann/server/src/main/scala/com/twitter/simclustersann/common/BUILD create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/common/FlagNames.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/controllers/BUILD create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/controllers/SimClustersANNController.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/exceptions/BUILD create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/exceptions/InvalidRequestForSimClustersAnnVariantException.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/exceptions/InvalidRequestForSimClustersAnnVariantExceptionMapper.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/exceptions/MissingClusterConfigForSimClustersAnnVariantException.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/filters/BUILD create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/filters/GetTweetCandidatesResponseStatsFilter.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/filters/SimClustersAnnVariantFilter.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/BUILD create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/CacheModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/ClusterConfigMapperModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/ClusterConfigModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/ClusterTweetIndexProviderModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/CustomMtlsThriftWebFormsModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/EmbeddingStoreModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/FlagsModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/FuturePoolProvider.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/RateLimiterModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/ServiceNameMapperModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/SimClustersANNCandidateSourceModule.scala create mode 100644 simclusters-ann/server/src/main/scala/com/twitter/simclustersann/modules/StratoClientProviderModule.scala create mode 100644 simclusters-ann/thrift/src/main/thrift/BUILD create mode 100644 simclusters-ann/thrift/src/main/thrift/simClustersAnn.thrift create mode 100644 src/java/com/twitter/search/README.md create mode 100644 src/java/com/twitter/search/common/README.md create mode 100644 src/java/com/twitter/search/common/converter/earlybird/BUILD create mode 100644 src/java/com/twitter/search/common/converter/earlybird/BasicIndexingConverter.java create mode 100644 src/java/com/twitter/search/common/converter/earlybird/CombinedIndexingConverter.java create mode 100644 src/java/com/twitter/search/common/converter/earlybird/DelayedIndexingConverter.java create mode 100644 src/java/com/twitter/search/common/converter/earlybird/EncodedFeatureBuilder.java create mode 100644 src/java/com/twitter/search/common/encoding/docvalues/BUILD create mode 100644 src/java/com/twitter/search/common/encoding/docvalues/CSFTypeUtil.java create mode 100644 src/java/com/twitter/search/common/encoding/features/BUILD create mode 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src/java/com/twitter/search/common/encoding/features/SmartIntegerNormalizer.java create mode 100644 src/java/com/twitter/search/common/query/BUILD create mode 100644 src/java/com/twitter/search/common/query/BoostUtils.java create mode 100644 src/java/com/twitter/search/common/query/CollectAnnotationsVisitor.java create mode 100644 src/java/com/twitter/search/common/query/CollectQueryTypeVisitor.java create mode 100644 src/java/com/twitter/search/common/query/CollectVariantVisitor.java create mode 100644 src/java/com/twitter/search/common/query/DefaultFilterWeight.java create mode 100644 src/java/com/twitter/search/common/query/DocIdFilter.java create mode 100644 src/java/com/twitter/search/common/query/FieldRankHitInfo.java create mode 100644 src/java/com/twitter/search/common/query/FieldWeightUtil.java create mode 100644 src/java/com/twitter/search/common/query/FilteredQuery.java create mode 100644 src/java/com/twitter/search/common/query/FilteredScorer.java create mode 100644 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src/scala/com/twitter/simclusters_v2/hdfs_sources/DataSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/EntityEmbeddingsSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/InterestedInSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/ProducerEmbeddingSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/ClusterDetailsInjection.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/ClusterTopMediaTweetsInjection.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/ClusterTopTweetsInjection.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/ClusteringInjections.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/EntityEmbeddingsInjections.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/InferredEntitiesInjections.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/InterestedInInjection.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/KnownForInjection.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/MultiTypeGraphInjections.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/ProducerEmbeddingsInjections.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/SemanticCoreEntitiesInjections.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/injections/SingleSideUserScoresInjection.scala create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/presto_hdfs_sources/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/hdfs_sources/presto_hdfs_sources/EntityEmbeddingsPrestoSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/images/bipartite_graph.png create mode 100644 src/scala/com/twitter/simclusters_v2/images/interestedin.png create mode 100644 src/scala/com/twitter/simclusters_v2/images/knownfor.png create mode 100644 src/scala/com/twitter/simclusters_v2/images/producer_embeddings.png create mode 100644 src/scala/com/twitter/simclusters_v2/images/producer_producer_similarity.png create mode 100644 src/scala/com/twitter/simclusters_v2/images/topic_embeddings.png create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/BipartiteClusterEvaluation.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/BipartiteClusterEvaluationClasses.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/ClusterDetailsJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/ClusterEvaluation.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/CompareClusters.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/EigenVectorsForSparseSymmetric.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/InterestedInFromAggregatableProducerEmbeddings.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/InterestedInFromKnownFor.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/InterestedInFromKnownForLite.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/InterestedInFromProducerEmbeddingsAdhocApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/KnownForSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/ProducerNormsAndCounts.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/TopUsersSimilarityGraph.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/UpdateKnownFor.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/UpdateKnownForApps.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/UserUserFavGraph.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/UserUserGraph.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/UserUserNormalizedGraph.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/PersistentTweetEmbeddingSource.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/QTreeMultiAggregator.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/TypedRichPipe.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/Util.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/matrix/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/matrix/DenseRowMatrix.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/matrix/SparseMatrix.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/matrix/SparseRowMatrix.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/common/matrix/TypedPipeMatrix.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/EntityEmbeddingFromProducerEmbeddingJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/EntityToSimClustersEmbeddingsJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/GlobalSimClustersLanguageEmbedding.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/LocaleEntitySimClustersEmbeddingV2Job.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/LocaleEntitySimClustersEmbeddingsJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/ProducerEmbeddingsFromInterestedIn.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/SimilarUsersBySimClustersEmbedding.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/abuse/AbuseSimclusterFeaturesScaldingJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/abuse/AdhocAbuseSimClusterFeaturesScaldingJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/abuse/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/abuse/CrossSimClusterFeaturesScaldingJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/abuse/DataSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/abuse/PairedinteractionFeatures.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/abuse/SingleSideInteractionTransformation.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/common/EmbeddingUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/common/EntityEmbeddingUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/common/ExternalDataSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/common/SimClustersEmbeddingJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/producer/AggregatableFavBasedProducerEmbeddings.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/producer/AggregatableFollowBasedProducerEmbeddings.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/producer/AggregatableLogFavBasedProducerEmbeddings.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/producer/AggregatableProducerEmbeddings.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/producer/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/tfg/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/tfg/EngagementWeightedTfgBasedTopicEmbeddingsJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/tfg/FavInferredLanguageTfgBasedTopicEmbeddings.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/tfg/FavTfgBasedTopicEmbeddings.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/tfg/InferredLanguageTfgBasedTopicEmbeddingsBaseApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/tfg/LogFavTfgBasedTopicEmbeddings.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/embedding/tfg/README create mode 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src/scala/com/twitter/simclusters_v2/scalding/evaluation/SimClustersEvaluationAdhocApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/inferred_entities/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/inferred_entities/InferredEntities.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/inferred_entities/InferredEntitiesFromInterestedIn.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/inferred_entities/InferredSemanticCoreEntitiesFromKnownFor.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/inferred_entities/ProdSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/mbcg/AllFeatures.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/mbcg/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/mbcg/RecordAdapters.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/mbcg/TweetEmbeddingGenerationJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/mbcg/UserEmbeddingGenerationJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/multi_type_graph/assemble_multi_type_graph/AssembleMultiTypeGraph.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/multi_type_graph/assemble_multi_type_graph/AssembleMultiTypeGraphApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/multi_type_graph/assemble_multi_type_graph/AssembleMultiTypeGraphBaseApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/multi_type_graph/assemble_multi_type_graph/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/multi_type_graph/assemble_multi_type_graph/Config.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/OfflineTweetRecommendation.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/SimClustersOfflineJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/SimClustersOfflineJobAdhocApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/SimClustersOfflineJobScheduledApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/SimClustersOfflineJobUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/adhoc/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/adhoc/README create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/adhoc/SimClustersTweetEmbeddingAdhocApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_job/adhoc/TweetSimilarityEvaluationAdhocApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_tweets/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/offline_tweets/ClusterTopMediaTweetsJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/optout/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/optout/InterestedInOptOut.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/optout/KnownForOptOut.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/optout/SimClustersOptOutUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/GeoPopularTopicsApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/ProducersForTopicsFromTopicFollowGraph.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/SimilarTopicsFromTopicFollowGraphApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/TopicsForProducersFromEM.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/TopicsForProducersUtils.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/model_based_topic_recommendations/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/model_based_topic_recommendations/DataSources.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/model_based_topic_recommendations/UserFeatures.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/model_based_topic_recommendations/UserTopicDataRecordAdapter.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/topic_recommendations/model_based_topic_recommendations/UserTopicModellingTrainingDataCollectionJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/DatasetTopKAnalysisJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/TrainingDataCollectionJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/TrainingDataCollectionUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/TweetPairFeatureHydrationUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/TweetPairLabelCollectionUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/UnhydratedPairsCollectionJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/evaluation/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/evaluation/ModelEvalAdhocApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/tweet_similarity/evaluation/RUXLandingDdgAnalysisAdhocApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/update_known_for/BUILD.bazel create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/update_known_for/UpdateKnownFor20M145K2020.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scalding/update_known_for/UpdateKnownForSBFRunner.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/common/BQGenerationUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/common/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/common/IndexGenerationUtil.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/Config.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/FTRJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/FtrClusterToTweetIndexGenerationJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/README.md create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/ftr-based-simclusters-index-generation-job.d6w create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/ftr-tweets-ann-adhoc-job.d6w create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/iikf2020-decayed-sum-ann-batch-job.d6w create mode 100644 src/scala/com/twitter/simclusters_v2/scio/bq_generation/ftr_tweet/iikf2020-ftrat5-pop1000-ann-batch-job.d6w create mode 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src/scala/com/twitter/simclusters_v2/scio/multi_type_graph/multi_type_graph_sims/RightNodeCosineSimilarityScioApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/multi_type_graph/multi_type_graph_sims/RightNodeCosineSimilarityScioBaseApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/multi_type_graph/multi_type_graph_sims/RightNodeSimHashScioApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/multi_type_graph/multi_type_graph_sims/RightNodeSimHashScioBaseApp.scala create mode 100644 src/scala/com/twitter/simclusters_v2/scio/multi_type_graph/multi_type_graph_sims/cosine-similarity-scio-adhoc.d6w create mode 100644 src/scala/com/twitter/simclusters_v2/scio/multi_type_graph/multi_type_graph_sims/cosine-similarity-scio-batch.d6w create mode 100644 src/scala/com/twitter/simclusters_v2/scio/multi_type_graph/multi_type_graph_sims/sim-hash-scio-adhoc.d6w create mode 100644 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src/scala/com/twitter/simclusters_v2/summingbird/stores/SimClustersManhattanReadableStoreForReadWriteDataset.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/stores/TfgTopicEmbeddingsStore.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/stores/TopKClustersForEntityReadableStore.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/stores/TopKClustersForTweetReadableStore.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/stores/TopKTweetsForClusterReadableStore.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/stores/TweetStatusCountsStore.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/stores/UserInterestedInReadableStore.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/stores/UserKnownForReadableStore.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/storm/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/storm/PersistentTweetJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/storm/PersistentTweetJobRunner.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/storm/TweetJob.scala create mode 100644 src/scala/com/twitter/simclusters_v2/summingbird/storm/TweetJobRunner.scala create mode 100755 src/scala/com/twitter/simclusters_v2/summingbird/storm/persistent_tweet_job_deploy.sh create mode 100755 src/scala/com/twitter/simclusters_v2/summingbird/storm/tweet_alt_job_deploy.sh create mode 100755 src/scala/com/twitter/simclusters_v2/summingbird/storm/tweet_job_deploy.sh create mode 100644 src/scala/com/twitter/simclusters_v2/tweet_similarity/BUILD create mode 100644 src/scala/com/twitter/simclusters_v2/tweet_similarity/ModelBasedTweetSimilaritySimClustersEmbeddingAdapter.scala create mode 100644 src/scala/com/twitter/simclusters_v2/tweet_similarity/TweetSimilarityFeatures.scala create mode 100644 src/thrift/com/twitter/interaction_graph/BUILD create mode 100644 src/thrift/com/twitter/interaction_graph/interaction_graph.thrift create mode 100644 src/thrift/com/twitter/recos/recos.thrift create mode 100644 src/thrift/com/twitter/recos/recos_common.thrift create mode 100644 src/thrift/com/twitter/recos/recos_injector.thrift create mode 100644 src/thrift/com/twitter/recos/user_tweet_entity_graph/BUILD create mode 100644 src/thrift/com/twitter/recos/user_tweet_entity_graph/CONFIG.ini create mode 100644 src/thrift/com/twitter/recos/user_tweet_entity_graph/user_tweet_entity_graph.thrift create mode 100644 src/thrift/com/twitter/recos/user_tweet_graph/BUILD create mode 100644 src/thrift/com/twitter/recos/user_tweet_graph/CONFIG.ini create mode 100644 src/thrift/com/twitter/recos/user_tweet_graph/user_tweet_graph.thrift create mode 100644 src/thrift/com/twitter/recos/user_user_graph/BUILD create mode 100644 src/thrift/com/twitter/recos/user_user_graph/CONFIG.ini create mode 100644 src/thrift/com/twitter/recos/user_user_graph/user_user_graph.thrift create mode 100644 src/thrift/com/twitter/recos/user_video_graph/BUILD create mode 100644 src/thrift/com/twitter/recos/user_video_graph/CONFIG.ini create mode 100644 src/thrift/com/twitter/recos/user_video_graph/user_video_graph.thrift create mode 100644 src/thrift/com/twitter/search/common/ranking/ranking.thrift create mode 100644 src/thrift/com/twitter/search/earlybird/thrift/earlybird.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/BUILD create mode 100644 src/thrift/com/twitter/simclusters_v2/abuse.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/clustering.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/embedding.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/entity.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/evaluation.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/graph.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/identifier.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/inferred_entities.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/interests.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/multi_type_graph.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/offline_job_internal.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/online_store.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/online_store_internal.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/score.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/simclusters_presto.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/top_k_map.thrift create mode 100644 src/thrift/com/twitter/simclusters_v2/tweet_similarity.thrift create mode 100644 timelineranker/README.md create mode 100644 timelineranker/client/builder/BUILD create mode 100644 timelineranker/client/builder/README.md create mode 100644 timelineranker/client/builder/src/main/scala/BUILD create mode 100644 timelineranker/client/builder/src/main/scala/com/twitter/timelineranker/client/TimelineRankerClient.scala create mode 100644 timelineranker/client/builder/src/main/scala/com/twitter/timelineranker/client/TimelineRankerClientBuilder.scala create mode 100644 timelineranker/common/BUILD create mode 100644 timelineranker/common/src/main/scala/BUILD create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/adapter/BUILD create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/adapter/TimelineServiceAdapter.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/BUILD create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/CandidateTweet.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/CandidateTweetsResult.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/HydratedTweetEntry.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/Language.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/LanguageScope.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/PartiallyHydratedTweet.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/PriorSeenEntries.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/RankedTimelineQuery.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/RankedTimelineQueryOptions.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/RecapQuery.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/ReverseChronTimelineQuery.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/ReverseChronTimelineQueryOptions.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/TimeRange.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/Timeline.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/TimelineEntry.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/TimelineEntryEnvelope.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/TimelineQuery.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/TimelineQueryOptions.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/TimelineRange.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/Tweet.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/TweetIdRange.scala create mode 100644 timelineranker/common/src/main/scala/com/twitter/timelineranker/model/UtegLikedByTweetsOptions.scala create mode 100644 timelineranker/server/BUILD.bazel create mode 100644 timelineranker/server/config/BUILD create mode 100644 timelineranker/server/config/decider.yml create mode 100644 timelineranker/server/src/main/resources/BUILD.bazel create mode 100644 timelineranker/server/src/main/resources/logback-timelineranker.xml create mode 100644 timelineranker/server/src/main/scala/BUILD.bazel create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/clients/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/clients/CortexTweetQueryServiceClient.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/clients/MemcacheFactory.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/clients/content_features_cache/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/clients/content_features_cache/ContentFeaturesMemcacheBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/CandidateGenerationTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/ContentFeaturesHydrationTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/CreateCandidateEnvelopeTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/FeatureHydrationDataTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/FollowAndRealGraphCombiningTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/FollowGraphDataTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/HydrateTweetsAndSourceTweetsInParallelTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/HydratedTweetsFilterTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/InNetworkTweetsSearchFeaturesHydrationTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/MarkRandomTweetTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/OutOfNetworkRepliesToUserIdSearchResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/OutOfNetworkTweetsSearchFeaturesHydrationTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/RecapHydrationSearchResultsTransformBase.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/RecapSearchResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/RecapSearchResultsTruncationTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/SearchResultDedupAndSortingTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/SourceTweetsSearchResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/TrimToMatchHydratedTweetsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/TrimToMatchSearchResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/TweetHydrationTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/TweetKindOptionHydratedTweetsFilterTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/UserLanguagesTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/UserProfileInfoTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/common/VisibilityEnforcingTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/CallInfo.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/ClientAccessPermissions.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/ClientWrapperFactories.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/ClientWrappers.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/DefaultUnderlyingClientConfiguration.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/RequestScopes.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/RuntimeConfiguration.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/StagingUnderlyingConfiguration.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/TimelineRankerConstants.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/TimelineRankerFlags.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/config/UnderlyingClientConfiguration.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/contentfeatures/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/contentfeatures/package.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/core/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/core/CandidateEnvelope.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/core/FollowGraphData.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/core/FollowGraphDataFuture.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/core/HydratedCandidatesAndFeaturesEnvelope.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/core/HydratedTweets.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/core/package.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/decider/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/decider/DeciderKey.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/entity_tweets/BUILD.bazel create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/entity_tweets/EntityTweetsRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/entity_tweets/EntityTweetsRepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/entity_tweets/EntityTweetsSearchResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/entity_tweets/EntityTweetsSource.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/in_network_tweets/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/in_network_tweets/InNetworkTweetRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/in_network_tweets/InNetworkTweetRepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/in_network_tweets/InNetworkTweetSource.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/monitoring/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/monitoring/UsersSearchResultMonitoringTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/observe/BUILD.bazel create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/observe/DebugObserverBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/observe/ObservedRequests.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/ConfigBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/entity_tweets/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/entity_tweets/EntityTweetsParams.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/entity_tweets/EntityTweetsProduction.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/in_network_tweets/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/in_network_tweets/InNetworkTweetParams.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/in_network_tweets/InNetworkTweetProduction.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/monitoring/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/monitoring/MonitoringParams.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/monitoring/MonitoringProduction.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap/RecapParams.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap/RecapProduction.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap/RecapQueryContext.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap_author/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap_author/RecapAuthorParams.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap_author/RecapAuthorProduction.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap_hydration/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap_hydration/RecapHydrationParams.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/recap_hydration/RecapHydrationProduction.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/revchron/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/revchron/ReverseChronParams.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/revchron/ReverseChronProduction.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/revchron/ReverseChronTimelineQueryContext.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/revchron/ReverseChronTimelineQueryContextBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/uteg_liked_by_tweets/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/uteg_liked_by_tweets/UtegLikedByTweetsParams.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/uteg_liked_by_tweets/UtegLikedByTweetsProduction.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/util/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/util/CommonRequestContext.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/util/ConfigHelper.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/parameters/util/RecapQueryParamInitializer.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap/model/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap/model/ContentFeatures.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_author/BUILD.bazel create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_author/RecapAuthorRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_author/RecapAuthorRepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_author/RecapAuthorSearchResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_author/RecapAuthorSource.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_hydration/BUILD.bazel create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_hydration/RecapHydrationRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_hydration/RecapHydrationRepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_hydration/RecapHydrationSearchResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/recap_hydration/RecapHydrationSource.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/CandidatesRepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/RankedHomeTimelineRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/RepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/ReverseChronHomeTimelineRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/ReverseChronHomeTimelineRepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/RoutingTimelineRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/RoutingTimelineRepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/repository/TimelineRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/server/BUILD.bazel create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/server/Main.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/server/TimelineRanker.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/server/TimelineRankerBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/server/TimelineRankerThriftWebForms.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/server/Warmup.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/source/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/source/ReverseChronHomeTimelineSource.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/source/TimelineSource.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/BUILD.bazel create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/CombinedScoreAndTruncateTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/MinNumNonAuthorFavoritedByUserIdsFilterTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/RemoveCandidatesAuthoredByWeightedFollowingsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/SocialProofAndUTEGScoreHydrationTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/UTEGResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/UtegLikedByTweetsRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/UtegLikedByTweetsRepositoryBuilder.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/UtegLikedByTweetsSearchResultsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/uteg_liked_by_tweets/UtegLikedByTweetsSource.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/CachingContentFeaturesProvider.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/CopyContentFeaturesIntoHydratedTweetsTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/CopyContentFeaturesIntoThriftTweetFeaturesTransform.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/ExtendedRepliesFilter.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/LatentRepository.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/RecommendedRepliesFilter.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/ReverseExtendedRepliesFilter.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/SearchResultUtil.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/SearchResultWithVisibilityActors.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/SnowflakeUtils.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/SourceTweetsUtil.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/TweetAnnotationFeaturesExtractor.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/TweetHydrator.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/TweetMediaFeatureExtractor.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/TweetTextFeaturesExtractor.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/TweetsPostFilter.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/TweetsPostFilterBasedOnSearchMetadata.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/util/TweetypieContentFeaturesProvider.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/visibility/BUILD create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/visibility/FollowGraphDataProvider.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/visibility/RealGraphFollowGraphDataProvider.scala create mode 100644 timelineranker/server/src/main/scala/com/twitter/timelineranker/visibility/SgsFollowGraphDataProvider.scala create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/BUILD create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/common/BUILD create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/common/EarlybirdTrainingConfiguration.scala create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/common/EarlybirdTrainingRecapConfiguration.scala create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/common/EarlybirdTrainingRectweetConfiguration.scala create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/model_evaluation/BUILD create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/model_evaluation/EarlybirdEvaluationMetric.scala create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/model_evaluation/EarlybirdModelEvaluationJob.scala create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/training_data_generation/BUILD create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/training_data_generation/EarlybirdExampleSampler.scala create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/training_data_generation/EarlybirdStatsJob.scala create mode 100644 timelines/data_processing/ad_hoc/earlybird_ranking/earlybird_ranking/training_data_generation/EarlybirdTrainingDataJob.scala create mode 100644 trust_and_safety_models/README.md create mode 100644 trust_and_safety_models/abusive/abusive_model.py create mode 100644 trust_and_safety_models/nsfw/nsfw_media.py create mode 100644 trust_and_safety_models/nsfw/nsfw_text.py create mode 100644 trust_and_safety_models/toxicity/__init__.py create mode 100644 trust_and_safety_models/toxicity/data/__init__.py create mode 100644 trust_and_safety_models/toxicity/data/data_preprocessing.py create mode 100644 trust_and_safety_models/toxicity/data/dataframe_loader.py create mode 100644 trust_and_safety_models/toxicity/data/mb_generator.py create mode 100644 trust_and_safety_models/toxicity/load_model.py create mode 100644 trust_and_safety_models/toxicity/optim/__init__.py create mode 100644 trust_and_safety_models/toxicity/optim/callbacks.py create mode 100644 trust_and_safety_models/toxicity/optim/losses.py create mode 100644 trust_and_safety_models/toxicity/optim/schedulers.py create mode 100644 trust_and_safety_models/toxicity/rescoring.py create mode 100644 trust_and_safety_models/toxicity/settings/__init__.py create mode 100644 trust_and_safety_models/toxicity/settings/default_settings_tox.py create mode 100644 trust_and_safety_models/toxicity/train.py create mode 100644 trust_and_safety_models/toxicity/utils/__init__.py create mode 100644 trust_and_safety_models/toxicity/utils/helpers.py create mode 100644 twml/BUILD create mode 100644 twml/README.md create mode 100644 twml/libtwml/BUILD create mode 100644 twml/libtwml/include/twml.h create mode 100644 twml/libtwml/include/twml/BatchPredictionRequest.h create mode 100644 twml/libtwml/include/twml/BatchPredictionResponse.h create mode 100644 twml/libtwml/include/twml/BlockFormatReader.h create mode 100644 twml/libtwml/include/twml/BlockFormatWriter.h create mode 100644 twml/libtwml/include/twml/DataRecord.h create mode 100644 twml/libtwml/include/twml/DataRecordReader.h create mode 100644 twml/libtwml/include/twml/DataRecordWriter.h create mode 100644 twml/libtwml/include/twml/Error.h create mode 100644 twml/libtwml/include/twml/HashedDataRecord.h create mode 100644 twml/libtwml/include/twml/HashedDataRecordReader.h create mode 100644 twml/libtwml/include/twml/Hashmap.h create mode 100644 twml/libtwml/include/twml/RawTensor.h create mode 100644 twml/libtwml/include/twml/Tensor.h create mode 100644 twml/libtwml/include/twml/TensorRecord.h create mode 100644 twml/libtwml/include/twml/TensorRecordReader.h create mode 100644 twml/libtwml/include/twml/TensorRecordWriter.h create mode 100644 twml/libtwml/include/twml/ThriftReader.h create mode 100644 twml/libtwml/include/twml/ThriftWriter.h create mode 100644 twml/libtwml/include/twml/Type.h create mode 100644 twml/libtwml/include/twml/common.h create mode 100644 twml/libtwml/include/twml/defines.h create mode 100644 twml/libtwml/include/twml/discretizer_impl.h create mode 100644 twml/libtwml/include/twml/functions.h create mode 100644 twml/libtwml/include/twml/hashing_discretizer_impl.h create mode 100644 twml/libtwml/include/twml/io/IOError.h create mode 100644 twml/libtwml/include/twml/optim.h create mode 100644 twml/libtwml/include/twml/utilities.h create mode 100644 twml/libtwml/setup.cfg create mode 100644 twml/libtwml/setup.py create mode 100644 twml/libtwml/src/lib/BatchPredictionRequest.cpp create mode 100644 twml/libtwml/src/lib/BatchPredictionResponse.cpp create mode 100644 twml/libtwml/src/lib/BlockFormatReader.cpp create mode 100644 twml/libtwml/src/lib/BlockFormatWriter.cpp create mode 100644 twml/libtwml/src/lib/CMakeLists.txt create mode 100644 twml/libtwml/src/lib/CPPLINT.cfg create mode 100644 twml/libtwml/src/lib/DataRecord.cpp create mode 100644 twml/libtwml/src/lib/DataRecordReader.cpp create mode 100644 twml/libtwml/src/lib/DataRecordWriter.cpp create mode 100644 twml/libtwml/src/lib/HashedDataRecord.cpp create mode 100644 twml/libtwml/src/lib/HashedDataRecordReader.cpp create mode 100644 twml/libtwml/src/lib/Hashmap.cpp create mode 100644 twml/libtwml/src/lib/Tensor.cpp create mode 100644 twml/libtwml/src/lib/TensorRecordReader.cpp create mode 100644 twml/libtwml/src/lib/TensorRecordWriter.cpp create mode 100644 twml/libtwml/src/lib/ThriftReader.cpp create mode 100644 twml/libtwml/src/lib/ThriftWriter.cpp create mode 100644 twml/libtwml/src/lib/discretizer_impl.cpp create mode 100644 twml/libtwml/src/lib/functions.cpp create mode 100644 twml/libtwml/src/lib/hashing_discretizer_impl.cpp create mode 100644 twml/libtwml/src/lib/internal/endianutils.h create mode 100644 twml/libtwml/src/lib/internal/error.h create mode 100644 twml/libtwml/src/lib/internal/interpolate.h create mode 100644 twml/libtwml/src/lib/internal/khash.h create mode 100644 twml/libtwml/src/lib/internal/linear_search.h create mode 100644 twml/libtwml/src/lib/internal/murmur_hash3.h create mode 100644 twml/libtwml/src/lib/internal/thrift.h create mode 100644 twml/libtwml/src/lib/internal/utf_converter.h create mode 100644 twml/libtwml/src/lib/io/IOError.cpp create mode 100644 twml/libtwml/src/lib/murmur_hash3.cpp create mode 100644 twml/libtwml/src/lib/optim.cpp create mode 100644 twml/libtwml/src/lib/utf_converter.cpp create mode 100644 twml/libtwml/src/ops/CMakeLists.txt create mode 100644 twml/libtwml/src/ops/add1.cpp create mode 100644 twml/libtwml/src/ops/batch_prediction_request.cpp create mode 100644 twml/libtwml/src/ops/batch_prediction_request_v2.cpp create mode 100644 twml/libtwml/src/ops/batch_prediction_response_writer.cpp create mode 100644 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visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/ModerationFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/SearchContextFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/ToxicReplyFilterFeature.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/TrustedFriendsFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/TweetFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/TweetIdFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/TweetMediaMetadataFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/TweetPerspectiveFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/TweetVisibilityNudgeSourceWrapper.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/tweets/UnmentionNotificationFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/AuthorDeviceFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/AuthorFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/QuotedTweetFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/RelationshipFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/RelationshipVerbHelpers.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/SearchFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/UserUnavailableFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/ViewerAdvancedFilteringFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/ViewerFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/ViewerSearchSafetyFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/builder/users/ViewerSensitiveMediaSettingsFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/configapi/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/configapi/ConfigBuilder.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/configapi/VisibilityParams.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/configapi/VisibilityRequestContext.scala create mode 100644 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visibilitylib/src/main/scala/com/twitter/visibility/configapi/params/VisibilityExperiment.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/configapi/params/VisibilityExperiments.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/engine/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/engine/DeciderableVisibilityRuleEngine.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/engine/VisibilityResultsMetricRecorder.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/engine/VisibilityRuleEngine.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/engine/VisibilityRulePreprocessor.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/features/AdvancedFilteringFeatures.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/features/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/features/Feature.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/features/FeatureMap.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/features/Features.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/generators/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/generators/CountryNameGenerator.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/generators/EpitaphToLocalizedMessage.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/generators/InterstitialReasonToLocalizedMessage.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/generators/LocalizedInterstitialGenerator.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/generators/TombstoneGenerator.scala create mode 100644 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visibilitylib/src/main/scala/com/twitter/visibility/interfaces/conversations/AdAvoidanceLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/conversations/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/conversations/TimelineConversationsVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/conversations/TimelineConversationsVisibilityRequest.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/conversations/TimelineConversationsVisibilityResponse.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/conversations/Tombstone.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/conversations/TombstoneVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/conversations/package.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/des/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/des/DESRealtimeVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/des/DESVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/dms/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/dms/DmConversationVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/dms/DmConversationVisibilityRequest.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/dms/DmEventVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/dms/DmEventVisibilityRequest.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/dms/DmVisibilityLibrary.scala create 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visibilitylib/src/main/scala/com/twitter/visibility/interfaces/notifications/NotificationsPlatformVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/notifications/NotificationsVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/push_service/BUILD.bazel create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/push_service/PushServiceSafetyLabelMapFetcher.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/push_service/PushServiceVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/push_service/PushServiceVisibilityLibraryParity.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/push_service/PushServiceVisibilityLibraryUtil.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/push_service/PushServiceVisibilityRequest.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/push_service/PushServiceVisibilityResponse.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/search/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/search/BatchSearchVisibilityRequest.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/search/BatchSearchVisibilityResponse.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/search/CombinedVisibilityResult.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/search/SearchVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/search/TweetContext.scala create mode 100644 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visibilitylib/src/main/scala/com/twitter/visibility/interfaces/tweets/TweetVisibilityRequest.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/tweets/TweetypieContext.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/tweets/UserUnavailableStateVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/tweets/UserUnavailableStateVisibilityRequest.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/tweets/enrichments/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/tweets/enrichments/ComplianceTweetNoticeEnrichment.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/tweets/enrichments/LimitedActionsPolicyEnrichment.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/tweets/enrichments/TweetVisibilityNudgeEnrichment.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/users/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/interfaces/users/UserVisibilityLibrary.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/CommunityTweet.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/ContentId.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/LabelSource.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/MediaSafetyLabelType.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/MisinformationPolicy.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/MutedKeyword.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/SafetyLabel.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/SafetyLabelMetadata.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/SafetyLabelType.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/SafetyLevel.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/SafetyLevelGroup.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/SemanticCoreAnnotation.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/SpaceSafetyLabelType.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/TweetDeleteReason.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/TweetModelMetadata.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/TweetSafetyLabel.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/UnitOfDiversion.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/UserAge.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/UserLabel.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/UserSensitiveMediaSettings.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/UserUnavailableStateEnum.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/ViewerContext.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/ViolationLevel.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/models/package.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/Action.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/AdvancedFilteringRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/CardRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/ComposableActions.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/Condition.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/DmConversationRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/DmEventRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/DmVisibilityPolicies.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/DownrankingRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/EvaluationContext.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/ExperimentBase.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/FailClosedException.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/FollowerRelations.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/ForEmergencyUseOnly.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/FreedomOfSpeechNotReach.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/InterstitialIf.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/PublicInterestRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/Rule.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/RuleActionSourceBuilder.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/RuleBase.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/Rules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/SafeSearchRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/SearchBlenderRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/SensitiveMediaSettingsRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/SpaceRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/TombstoneIf.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/ToxicityReplyFilterRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/TweetLabelRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/TweetRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/UserLabelRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/UserUnavailableStateTombstoneRules.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/VisibilityPolicy.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/generators/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/generators/RuleGenerator.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/generators/TweetRuleGenerator.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/generators/TweetVisibilityPolicy.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/package.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/providers/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/providers/InjectedPolicyProvider.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/providers/PolicyProvider.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/providers/ProvidedEvaluationContext.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/utils/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/rules/utils/ShimUtils.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/util/BUILD create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/util/DeciderUtil.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/util/FeatureSwitchUtil.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/util/LoggingUtil.scala create mode 100644 visibilitylib/src/main/scala/com/twitter/visibility/util/NamingUtils.scala diff --git a/.gitignore b/.gitignore new file mode 100644 index 000000000..5ca0973f8 --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +.DS_Store + diff --git a/COPYING b/COPYING new file mode 100644 index 000000000..be3f7b28e --- /dev/null +++ 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No Surrender of Others' Freedom. + + If conditions are imposed on you (whether by court order, agreement or +otherwise) that contradict the conditions of this License, they do not +excuse you from the conditions of this License. If you cannot convey a +covered work so as to satisfy simultaneously your obligations under this +License and any other pertinent obligations, then as a consequence you may +not convey it at all. For example, if you agree to terms that obligate you +to collect a royalty for further conveying from those to whom you convey +the Program, the only way you could satisfy both those terms and this +License would be to refrain entirely from conveying the Program. + + 13. Remote Network Interaction; Use with the GNU General Public License. + + Notwithstanding any other provision of this License, if you modify the +Program, your modified version must prominently offer all users +interacting with it remotely through a computer network (if your version +supports such interaction) an opportunity to receive the Corresponding +Source of your version by providing access to the Corresponding Source +from a network server at no charge, through some standard or customary +means of facilitating copying of software. This Corresponding Source +shall include the Corresponding Source for any work covered by version 3 +of the GNU General Public License that is incorporated pursuant to the +following paragraph. + + Notwithstanding any other provision of this License, you have +permission to link or combine any covered work with a work licensed +under version 3 of the GNU General Public License into a single +combined work, and to convey the resulting work. The terms of this +License will continue to apply to the part which is the covered work, +but the work with which it is combined will remain governed by version +3 of the GNU General Public License. + + 14. Revised Versions of this License. + + The Free Software Foundation may publish revised and/or new versions of +the GNU Affero General Public License from time to time. Such new versions +will be similar in spirit to the present version, but may differ in detail to +address new problems or concerns. + + Each version is given a distinguishing version number. If the +Program specifies that a certain numbered version of the GNU Affero General +Public License "or any later version" applies to it, you have the +option of following the terms and conditions either of that numbered +version or of any later version published by the Free Software +Foundation. If the Program does not specify a version number of the +GNU Affero General Public License, you may choose any version ever published +by the Free Software Foundation. + + If the Program specifies that a proxy can decide which future +versions of the GNU Affero General Public License can be used, that proxy's +public statement of acceptance of a version permanently authorizes you +to choose that version for the Program. + + Later license versions may give you additional or different +permissions. However, no additional obligations are imposed on any +author or copyright holder as a result of your choosing to follow a +later version. + + 15. Disclaimer of Warranty. + + THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY +APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT +HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY +OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, +THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR +PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM +IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF +ALL NECESSARY SERVICING, REPAIR OR CORRECTION. + + 16. Limitation of Liability. + + IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS +THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY +GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE +USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF +DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD +PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), +EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF +SUCH DAMAGES. + + 17. Interpretation of Sections 15 and 16. + + If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If your software can interact with users remotely through a computer +network, you should also make sure that it provides a way for users to +get its source. For example, if your program is a web application, its +interface could display a "Source" link that leads users to an archive +of the code. There are many ways you could offer source, and different +solutions will be better for different programs; see section 13 for the +specific requirements. + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU AGPL, see +. diff --git a/README.md b/README.md new file mode 100644 index 000000000..09b81856f --- /dev/null +++ b/README.md @@ -0,0 +1,39 @@ +# Twitter Recommendation Algorithm + +The Twitter Recommendation Algorithm is a set of services and jobs that are responsible for constructing and serving the +Home Timeline. For an introduction to how the algorithm works, please refer to our [engineering blog](https://blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm). The +diagram below illustrates how major services and jobs interconnect. + +![](docs/system-diagram.png) + +These are the main components of the Recommendation Algorithm included in this repository: + +| Type | Component | Description | +|------------|------------|------------| +| Feature | [simclusters-ann](simclusters-ann/README.md) | Community detection and sparse embeddings into those communities. | +| | [TwHIN](https://github.com/twitter/the-algorithm-ml/blob/main/projects/twhin/README.md) | Dense knowledge graph embeddings for Users and Tweets. | +| | [trust-and-safety-models](trust_and_safety_models/README.md) | Models for detecting NSFW or abusive content. | +| | [real-graph](src/scala/com/twitter/interaction_graph/README.md) | Model to predict likelihood of a Twitter User interacting with another User. | +| | [tweepcred](src/scala/com/twitter/graph/batch/job/tweepcred/README) | Page-Rank algorithm for calculating Twitter User reputation. | +| | [recos-injector](recos-injector/README.md) | Streaming event processor for building input streams for [GraphJet](https://github.com/twitter/GraphJet) based services. | +| | [graph-feature-service](graph-feature-service/README.md) | Serves graph features for a directed pair of Users (e.g. how many of User A's following liked Tweets from User B). | +| Candidate Source | [search-index](src/java/com/twitter/search/README.md) | Find and rank In-Network Tweets. ~50% of Tweets come from this candidate source. | +| | [cr-mixer](cr-mixer/README.md) | Coordination layer for fetching Out-of-Network tweet candidates from underlying compute services. | +| | [user-tweet-entity-graph](src/scala/com/twitter/recos/user_tweet_entity_graph/README.md) (UTEG)| Maintains an in memory User to Tweet interaction graph, and finds candidates based on traversals of this graph. This is built on the [GraphJet](https://github.com/twitter/GraphJet) framework. Several other GraphJet based features and candidate sources are located [here](src/scala/com/twitter/recos) | +| | [follow-recommendation-service](follow-recommendations-service/README.md) (FRS)| Provides Users with recommendations for accounts to follow, and Tweets from those accounts. | +| Ranking | [light-ranker](src/python/twitter/deepbird/projects/timelines/scripts/models/earlybird/README.md) | Light ranker model used by search index (Earlybird) to rank Tweets. | +| | [heavy-ranker](https://github.com/twitter/the-algorithm-ml/blob/main/projects/home/recap/README.md) | Neural network for ranking candidate tweets. One of the main signals used to select timeline Tweets post candidate sourcing. | +| Tweet mixing & filtering | [home-mixer](home-mixer/README.md) | Main service used to construct and serve the Home Timeline. Built on [product-mixer](product-mixer/README.md) | +| | [visibility-filters](visibilitylib/README.md) | Responsible for filtering Twitter content to support legal compliance, improve product quality, increase user trust, protect revenue through the use of hard-filtering, visible product treatments, and coarse-grained downranking. | +| | [timelineranker](timelineranker/README.md) | Legacy service which provides relevance-scored tweets from the Earlybird Search Index and UTEG service. | +| Software framework | [navi](navi/navi/README.md) | High performance, machine learning model serving written in Rust. | +| | [product-mixer](product-mixer/README.md) | Software framework for building feeds of content. | +| | [twml](twml/README.md) | Legacy machine learning framework built on TensorFlow v1. | + +We include Bazel BUILD files for most components, but not a top level BUILD or WORKSPACE file. + +## Contributing + +We invite the community to submit GitHub issues and pull requests for suggestions on improving the recommendation algorithm. We are working on tools to manage these suggestions and sync changes to our internal repository. Any security concerns or issues should be routed to our official [bug bounty program](https://hackerone.com/twitter) through HackerOne. We hope to benefit from the collective intelligence and expertise of the global community in helping us identify issues and suggest improvements, ultimately leading to a better Twitter. + +Read our blog on the open source initiative [here](https://blog.twitter.com/en_us/topics/company/2023/a-new-era-of-transparency-for-twitter). diff --git a/ann/src/main/java/com/twitter/ann/faiss/BUILD b/ann/src/main/java/com/twitter/ann/faiss/BUILD new file mode 100644 index 000000000..2320a1dae --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/BUILD @@ -0,0 +1,15 @@ +target( + name = "faiss", + dependencies = [ + "ann/src/main/java/com/twitter/ann/faiss/swig:swig-artifactory", + ], +) + +java_library( + name = "swig-native-utils", + sources = ["*.java"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [], +) diff --git a/ann/src/main/java/com/twitter/ann/faiss/NativeUtils.java b/ann/src/main/java/com/twitter/ann/faiss/NativeUtils.java new file mode 100644 index 000000000..424d28890 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/NativeUtils.java @@ -0,0 +1,151 @@ +package com.twitter.ann.faiss; + +import java.io.File; +import java.io.FileNotFoundException; +import java.io.IOException; +import java.io.InputStream; +import java.nio.file.Files; +import java.nio.file.StandardCopyOption; +import java.util.Locale; + +public final class NativeUtils { + + private static final int MIN_PREFIX_LENGTH = 3; + public static final String NATIVE_FOLDER_PATH_PREFIX = "nativeutils"; + + public static File temporaryDir; + + private NativeUtils() { + } + + private static File unpackLibraryFromJarInternal(String path) throws IOException { + if (null == path || !path.startsWith("/")) { + throw new IllegalArgumentException("The path has to be absolute (start with '/')."); + } + + String[] parts = path.split("/"); + String filename = (parts.length > 1) ? parts[parts.length - 1] : null; + + if (filename == null || filename.length() < MIN_PREFIX_LENGTH) { + throw new IllegalArgumentException("The filename has to be at least 3 characters long."); + } + + if (temporaryDir == null) { + temporaryDir = createTempDirectory(NATIVE_FOLDER_PATH_PREFIX); + temporaryDir.deleteOnExit(); + } + + File temp = new File(temporaryDir, filename); + + try (InputStream is = NativeUtils.class.getResourceAsStream(path)) { + Files.copy(is, temp.toPath(), StandardCopyOption.REPLACE_EXISTING); + } catch (IOException e) { + temp.delete(); + throw e; + } catch (NullPointerException e) { + temp.delete(); + throw new FileNotFoundException("File " + path + " was not found inside JAR."); + } + + return temp; + } + + /** + * Unpack library from JAR into temporary path + * + * @param path The path of file inside JAR as absolute path (beginning with + * '/'), e.g. /package/File.ext + * @throws IOException If temporary file creation or read/write + * operation fails + * @throws IllegalArgumentException If source file (param path) does not exist + * @throws IllegalArgumentException If the path is not absolute or if the + * filename is shorter than three characters + * (restriction of + * {@link File#createTempFile(java.lang.String, java.lang.String)}). + * @throws FileNotFoundException If the file could not be found inside the + * JAR. + */ + public static void unpackLibraryFromJar(String path) throws IOException { + unpackLibraryFromJarInternal(path); + } + + /** + * Loads library from current JAR archive + *

+ * The file from JAR is copied into system temporary directory and then loaded. + * The temporary file is deleted after + * exiting. + * Method uses String as filename because the pathname is "abstract", not + * system-dependent. + * + * @param path The path of file inside JAR as absolute path (beginning with + * '/'), e.g. /package/File.ext + * @throws IOException If temporary file creation or read/write + * operation fails + * @throws IllegalArgumentException If source file (param path) does not exist + * @throws IllegalArgumentException If the path is not absolute or if the + * filename is shorter than three characters + * (restriction of + * {@link File#createTempFile(java.lang.String, java.lang.String)}). + * @throws FileNotFoundException If the file could not be found inside the + * JAR. + */ + public static void loadLibraryFromJar(String path) throws IOException { + File temp = unpackLibraryFromJarInternal(path); + + try (InputStream is = NativeUtils.class.getResourceAsStream(path)) { + Files.copy(is, temp.toPath(), StandardCopyOption.REPLACE_EXISTING); + } catch (IOException e) { + temp.delete(); + throw e; + } catch (NullPointerException e) { + temp.delete(); + throw new FileNotFoundException("File " + path + " was not found inside JAR."); + } + + try { + System.load(temp.getAbsolutePath()); + } finally { + temp.deleteOnExit(); + } + } + + private static File createTempDirectory(String prefix) throws IOException { + String tempDir = System.getProperty("java.io.tmpdir"); + File generatedDir = new File(tempDir, prefix + System.nanoTime()); + + if (!generatedDir.mkdir()) { + throw new IOException("Failed to create temp directory " + generatedDir.getName()); + } + + return generatedDir; + } + + public enum OSType { + Windows, MacOS, Linux, Other + } + + protected static OSType detectedOS; + + /** + * detect the operating system from the os.name System property and cache + * the result + * + * @returns - the operating system detected + */ + public static OSType getOperatingSystemType() { + if (detectedOS == null) { + String osname = System.getProperty("os.name", "generic").toLowerCase(Locale.ENGLISH); + if ((osname.contains("mac")) || (osname.contains("darwin"))) { + detectedOS = OSType.MacOS; + } else if (osname.contains("win")) { + detectedOS = OSType.Windows; + } else if (osname.contains("nux")) { + detectedOS = OSType.Linux; + } else { + detectedOS = OSType.Other; + } + } + return detectedOS; + } +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableFloat32.java b/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableFloat32.java new file mode 100644 index 000000000..9758bd20d --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableFloat32.java @@ -0,0 +1,98 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class AlignedTableFloat32 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected AlignedTableFloat32(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(AlignedTableFloat32 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_AlignedTableFloat32(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setTab(SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t value) { + swigfaissJNI.AlignedTableFloat32_tab_set(swigCPtr, this, SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t.getCPtr(value)); + } + + public SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t getTab() { + long cPtr = swigfaissJNI.AlignedTableFloat32_tab_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t(cPtr, false); + } + + public void setNumel(long value) { + swigfaissJNI.AlignedTableFloat32_numel_set(swigCPtr, this, value); + } + + public long getNumel() { + return swigfaissJNI.AlignedTableFloat32_numel_get(swigCPtr, this); + } + + public static long round_capacity(long n) { + return swigfaissJNI.AlignedTableFloat32_round_capacity(n); + } + + public AlignedTableFloat32() { + this(swigfaissJNI.new_AlignedTableFloat32__SWIG_0(), true); + } + + public AlignedTableFloat32(long n) { + this(swigfaissJNI.new_AlignedTableFloat32__SWIG_1(n), true); + } + + public long itemsize() { + return swigfaissJNI.AlignedTableFloat32_itemsize(swigCPtr, this); + } + + public void resize(long n) { + swigfaissJNI.AlignedTableFloat32_resize(swigCPtr, this, n); + } + + public void clear() { + swigfaissJNI.AlignedTableFloat32_clear(swigCPtr, this); + } + + public long size() { + return swigfaissJNI.AlignedTableFloat32_size(swigCPtr, this); + } + + public long nbytes() { + return swigfaissJNI.AlignedTableFloat32_nbytes(swigCPtr, this); + } + + public SWIGTYPE_p_float get() { + long cPtr = swigfaissJNI.AlignedTableFloat32_get__SWIG_0(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public SWIGTYPE_p_float data() { + long cPtr = swigfaissJNI.AlignedTableFloat32_data__SWIG_0(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableUint16.java b/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableUint16.java new file mode 100644 index 000000000..1ce3c67f7 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableUint16.java @@ -0,0 +1,98 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class AlignedTableUint16 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected AlignedTableUint16(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(AlignedTableUint16 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_AlignedTableUint16(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setTab(SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t value) { + swigfaissJNI.AlignedTableUint16_tab_set(swigCPtr, this, SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t.getCPtr(value)); + } + + public SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t getTab() { + long cPtr = swigfaissJNI.AlignedTableUint16_tab_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t(cPtr, false); + } + + public void setNumel(long value) { + swigfaissJNI.AlignedTableUint16_numel_set(swigCPtr, this, value); + } + + public long getNumel() { + return swigfaissJNI.AlignedTableUint16_numel_get(swigCPtr, this); + } + + public static long round_capacity(long n) { + return swigfaissJNI.AlignedTableUint16_round_capacity(n); + } + + public AlignedTableUint16() { + this(swigfaissJNI.new_AlignedTableUint16__SWIG_0(), true); + } + + public AlignedTableUint16(long n) { + this(swigfaissJNI.new_AlignedTableUint16__SWIG_1(n), true); + } + + public long itemsize() { + return swigfaissJNI.AlignedTableUint16_itemsize(swigCPtr, this); + } + + public void resize(long n) { + swigfaissJNI.AlignedTableUint16_resize(swigCPtr, this, n); + } + + public void clear() { + swigfaissJNI.AlignedTableUint16_clear(swigCPtr, this); + } + + public long size() { + return swigfaissJNI.AlignedTableUint16_size(swigCPtr, this); + } + + public long nbytes() { + return swigfaissJNI.AlignedTableUint16_nbytes(swigCPtr, this); + } + + public SWIGTYPE_p_uint16_t get() { + long cPtr = swigfaissJNI.AlignedTableUint16_get__SWIG_0(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_uint16_t(cPtr, false); + } + + public SWIGTYPE_p_uint16_t data() { + long cPtr = swigfaissJNI.AlignedTableUint16_data__SWIG_0(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_uint16_t(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableUint8.java b/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableUint8.java new file mode 100644 index 000000000..f1640baa8 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/AlignedTableUint8.java @@ -0,0 +1,98 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class AlignedTableUint8 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected AlignedTableUint8(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(AlignedTableUint8 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_AlignedTableUint8(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setTab(SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t value) { + swigfaissJNI.AlignedTableUint8_tab_set(swigCPtr, this, SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t.getCPtr(value)); + } + + public SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t getTab() { + long cPtr = swigfaissJNI.AlignedTableUint8_tab_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t(cPtr, false); + } + + public void setNumel(long value) { + swigfaissJNI.AlignedTableUint8_numel_set(swigCPtr, this, value); + } + + public long getNumel() { + return swigfaissJNI.AlignedTableUint8_numel_get(swigCPtr, this); + } + + public static long round_capacity(long n) { + return swigfaissJNI.AlignedTableUint8_round_capacity(n); + } + + public AlignedTableUint8() { + this(swigfaissJNI.new_AlignedTableUint8__SWIG_0(), true); + } + + public AlignedTableUint8(long n) { + this(swigfaissJNI.new_AlignedTableUint8__SWIG_1(n), true); + } + + public long itemsize() { + return swigfaissJNI.AlignedTableUint8_itemsize(swigCPtr, this); + } + + public void resize(long n) { + swigfaissJNI.AlignedTableUint8_resize(swigCPtr, this, n); + } + + public void clear() { + swigfaissJNI.AlignedTableUint8_clear(swigCPtr, this); + } + + public long size() { + return swigfaissJNI.AlignedTableUint8_size(swigCPtr, this); + } + + public long nbytes() { + return swigfaissJNI.AlignedTableUint8_nbytes(swigCPtr, this); + } + + public SWIGTYPE_p_unsigned_char get() { + long cPtr = swigfaissJNI.AlignedTableUint8_get__SWIG_0(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public SWIGTYPE_p_unsigned_char data() { + long cPtr = swigfaissJNI.AlignedTableUint8_data__SWIG_0(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ArrayInvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ArrayInvertedLists.java new file mode 100644 index 000000000..8536e6549 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ArrayInvertedLists.java @@ -0,0 +1,86 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ArrayInvertedLists extends InvertedLists { + private transient long swigCPtr; + + protected ArrayInvertedLists(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.ArrayInvertedLists_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(ArrayInvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ArrayInvertedLists(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setCodes(ByteVectorVector value) { + swigfaissJNI.ArrayInvertedLists_codes_set(swigCPtr, this, ByteVectorVector.getCPtr(value), value); + } + + public ByteVectorVector getCodes() { + long cPtr = swigfaissJNI.ArrayInvertedLists_codes_get(swigCPtr, this); + return (cPtr == 0) ? null : new ByteVectorVector(cPtr, false); + } + + public void setIds(SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t value) { + swigfaissJNI.ArrayInvertedLists_ids_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t getIds() { + long cPtr = swigfaissJNI.ArrayInvertedLists_ids_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t(cPtr, false); + } + + public ArrayInvertedLists(long nlist, long code_size) { + this(swigfaissJNI.new_ArrayInvertedLists(nlist, code_size), true); + } + + public long list_size(long list_no) { + return swigfaissJNI.ArrayInvertedLists_list_size(swigCPtr, this, list_no); + } + + public SWIGTYPE_p_unsigned_char get_codes(long list_no) { + long cPtr = swigfaissJNI.ArrayInvertedLists_get_codes(swigCPtr, this, list_no); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public LongVector get_ids(long list_no) { + return new LongVector(swigfaissJNI.ArrayInvertedLists_get_ids(swigCPtr, this, list_no), false); +} + + public long add_entries(long list_no, long n_entry, LongVector ids, SWIGTYPE_p_unsigned_char code) { + return swigfaissJNI.ArrayInvertedLists_add_entries(swigCPtr, this, list_no, n_entry, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void update_entries(long list_no, long offset, long n_entry, LongVector ids, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.ArrayInvertedLists_update_entries(swigCPtr, this, list_no, offset, n_entry, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void resize(long list_no, long new_size) { + swigfaissJNI.ArrayInvertedLists_resize(swigCPtr, this, list_no, new_size); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/AutoTuneCriterion.java b/ann/src/main/java/com/twitter/ann/faiss/swig/AutoTuneCriterion.java new file mode 100644 index 000000000..c9df33f9f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/AutoTuneCriterion.java @@ -0,0 +1,89 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class AutoTuneCriterion { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected AutoTuneCriterion(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(AutoTuneCriterion obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_AutoTuneCriterion(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNq(long value) { + swigfaissJNI.AutoTuneCriterion_nq_set(swigCPtr, this, value); + } + + public long getNq() { + return swigfaissJNI.AutoTuneCriterion_nq_get(swigCPtr, this); +} + + public void setNnn(long value) { + swigfaissJNI.AutoTuneCriterion_nnn_set(swigCPtr, this, value); + } + + public long getNnn() { + return swigfaissJNI.AutoTuneCriterion_nnn_get(swigCPtr, this); +} + + public void setGt_nnn(long value) { + swigfaissJNI.AutoTuneCriterion_gt_nnn_set(swigCPtr, this, value); + } + + public long getGt_nnn() { + return swigfaissJNI.AutoTuneCriterion_gt_nnn_get(swigCPtr, this); +} + + public void setGt_D(FloatVector value) { + swigfaissJNI.AutoTuneCriterion_gt_D_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getGt_D() { + long cPtr = swigfaissJNI.AutoTuneCriterion_gt_D_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void setGt_I(SWIGTYPE_p_std__vectorT_int64_t_t value) { + swigfaissJNI.AutoTuneCriterion_gt_I_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_int64_t_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_int64_t_t getGt_I() { + long cPtr = swigfaissJNI.AutoTuneCriterion_gt_I_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_int64_t_t(cPtr, false); + } + + public void set_groundtruth(int gt_nnn, SWIGTYPE_p_float gt_D_in, LongVector gt_I_in) { + swigfaissJNI.AutoTuneCriterion_set_groundtruth(swigCPtr, this, gt_nnn, SWIGTYPE_p_float.getCPtr(gt_D_in), SWIGTYPE_p_long_long.getCPtr(gt_I_in.data()), gt_I_in); + } + + public double evaluate(SWIGTYPE_p_float D, LongVector I) { + return swigfaissJNI.AutoTuneCriterion_evaluate(swigCPtr, this, SWIGTYPE_p_float.getCPtr(D), SWIGTYPE_p_long_long.getCPtr(I.data()), I); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/BUILD b/ann/src/main/java/com/twitter/ann/faiss/swig/BUILD new file mode 100644 index 000000000..b8b12773a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/BUILD @@ -0,0 +1,26 @@ +java_library( + name = "swig-local", + sources = ["*.java"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = [ + "bazel-compatible", + "bazel-only", + ], + dependencies = [ + "ann/src/main/java/com/twitter/ann/faiss:swig-native-utils", + "ann/src/main/java/com/twitter/ann/faiss/swig/resources", + ], +) + +java_library( + name = "swig-artifactory", + sources = ["*.java"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/ann/faiss/swig:resources", + "ann/src/main/java/com/twitter/ann/faiss:swig-native-utils", + ], +) diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/BitstringReader.java b/ann/src/main/java/com/twitter/ann/faiss/swig/BitstringReader.java new file mode 100644 index 000000000..042789dca --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/BitstringReader.java @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class BitstringReader { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected BitstringReader(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(BitstringReader obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_BitstringReader(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setCode(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.BitstringReader_code_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getCode() { + long cPtr = swigfaissJNI.BitstringReader_code_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void setCode_size(long value) { + swigfaissJNI.BitstringReader_code_size_set(swigCPtr, this, value); + } + + public long getCode_size() { + return swigfaissJNI.BitstringReader_code_size_get(swigCPtr, this); + } + + public void setI(long value) { + swigfaissJNI.BitstringReader_i_set(swigCPtr, this, value); + } + + public long getI() { + return swigfaissJNI.BitstringReader_i_get(swigCPtr, this); + } + + public BitstringReader(SWIGTYPE_p_unsigned_char code, long code_size) { + this(swigfaissJNI.new_BitstringReader(SWIGTYPE_p_unsigned_char.getCPtr(code), code_size), true); + } + + public long read(int nbit) { + return swigfaissJNI.BitstringReader_read(swigCPtr, this, nbit); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/BitstringWriter.java b/ann/src/main/java/com/twitter/ann/faiss/swig/BitstringWriter.java new file mode 100644 index 000000000..8fc18d9c2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/BitstringWriter.java @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class BitstringWriter { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected BitstringWriter(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(BitstringWriter obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_BitstringWriter(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setCode(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.BitstringWriter_code_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getCode() { + long cPtr = swigfaissJNI.BitstringWriter_code_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void setCode_size(long value) { + swigfaissJNI.BitstringWriter_code_size_set(swigCPtr, this, value); + } + + public long getCode_size() { + return swigfaissJNI.BitstringWriter_code_size_get(swigCPtr, this); + } + + public void setI(long value) { + swigfaissJNI.BitstringWriter_i_set(swigCPtr, this, value); + } + + public long getI() { + return swigfaissJNI.BitstringWriter_i_get(swigCPtr, this); + } + + public BitstringWriter(SWIGTYPE_p_unsigned_char code, long code_size) { + this(swigfaissJNI.new_BitstringWriter(SWIGTYPE_p_unsigned_char.getCPtr(code), code_size), true); + } + + public void write(long x, int nbit) { + swigfaissJNI.BitstringWriter_write(swigCPtr, this, x, nbit); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/BufferList.java b/ann/src/main/java/com/twitter/ann/faiss/swig/BufferList.java new file mode 100644 index 000000000..256fc1edd --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/BufferList.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class BufferList { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected BufferList(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(BufferList obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_BufferList(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setBuffer_size(long value) { + swigfaissJNI.BufferList_buffer_size_set(swigCPtr, this, value); + } + + public long getBuffer_size() { + return swigfaissJNI.BufferList_buffer_size_get(swigCPtr, this); + } + + public void setBuffers(SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t value) { + swigfaissJNI.BufferList_buffers_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t getBuffers() { + long cPtr = swigfaissJNI.BufferList_buffers_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t(cPtr, false); + } + + public void setWp(long value) { + swigfaissJNI.BufferList_wp_set(swigCPtr, this, value); + } + + public long getWp() { + return swigfaissJNI.BufferList_wp_get(swigCPtr, this); + } + + public BufferList(long buffer_size) { + this(swigfaissJNI.new_BufferList(buffer_size), true); + } + + public void append_buffer() { + swigfaissJNI.BufferList_append_buffer(swigCPtr, this); + } + + public void add(long id, float dis) { + swigfaissJNI.BufferList_add(swigCPtr, this, id, dis); + } + + public void copy_range(long ofs, long n, LongVector dest_ids, SWIGTYPE_p_float dest_dis) { + swigfaissJNI.BufferList_copy_range(swigCPtr, this, ofs, n, SWIGTYPE_p_long_long.getCPtr(dest_ids.data()), dest_ids, SWIGTYPE_p_float.getCPtr(dest_dis)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ByteVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ByteVector.java new file mode 100644 index 000000000..f439dfa72 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ByteVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ByteVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ByteVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ByteVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ByteVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public ByteVector() { + this(swigfaissJNI.new_ByteVector(), true); + } + + public void push_back(short arg0) { + swigfaissJNI.ByteVector_push_back(swigCPtr, this, arg0); + } + + public void clear() { + swigfaissJNI.ByteVector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_unsigned_char data() { + long cPtr = swigfaissJNI.ByteVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public long size() { + return swigfaissJNI.ByteVector_size(swigCPtr, this); + } + + public short at(long n) { + return swigfaissJNI.ByteVector_at(swigCPtr, this, n); + } + + public void resize(long n) { + swigfaissJNI.ByteVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.ByteVector_reserve(swigCPtr, this, n); + } + + public void swap(ByteVector other) { + swigfaissJNI.ByteVector_swap(swigCPtr, this, ByteVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ByteVectorVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ByteVectorVector.java new file mode 100644 index 000000000..fa0b3a7cc --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ByteVectorVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ByteVectorVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ByteVectorVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ByteVectorVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ByteVectorVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public ByteVectorVector() { + this(swigfaissJNI.new_ByteVectorVector(), true); + } + + public void push_back(ByteVector arg0) { + swigfaissJNI.ByteVectorVector_push_back(swigCPtr, this, ByteVector.getCPtr(arg0), arg0); + } + + public void clear() { + swigfaissJNI.ByteVectorVector_clear(swigCPtr, this); + } + + public ByteVector data() { + long cPtr = swigfaissJNI.ByteVectorVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new ByteVector(cPtr, false); + } + + public long size() { + return swigfaissJNI.ByteVectorVector_size(swigCPtr, this); + } + + public ByteVector at(long n) { + return new ByteVector(swigfaissJNI.ByteVectorVector_at(swigCPtr, this, n), true); + } + + public void resize(long n) { + swigfaissJNI.ByteVectorVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.ByteVectorVector_reserve(swigCPtr, this, n); + } + + public void swap(ByteVectorVector other) { + swigfaissJNI.ByteVectorVector_swap(swigCPtr, this, ByteVectorVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/CenteringTransform.java b/ann/src/main/java/com/twitter/ann/faiss/swig/CenteringTransform.java new file mode 100644 index 000000000..e9abaf61a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/CenteringTransform.java @@ -0,0 +1,68 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class CenteringTransform extends VectorTransform { + private transient long swigCPtr; + + protected CenteringTransform(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.CenteringTransform_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(CenteringTransform obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_CenteringTransform(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setMean(FloatVector value) { + swigfaissJNI.CenteringTransform_mean_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getMean() { + long cPtr = swigfaissJNI.CenteringTransform_mean_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public CenteringTransform(int d) { + this(swigfaissJNI.new_CenteringTransform__SWIG_0(d), true); + } + + public CenteringTransform() { + this(swigfaissJNI.new_CenteringTransform__SWIG_1(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.CenteringTransform_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void apply_noalloc(long n, SWIGTYPE_p_float x, SWIGTYPE_p_float xt) { + swigfaissJNI.CenteringTransform_apply_noalloc(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(xt)); + } + + public void reverse_transform(long n, SWIGTYPE_p_float xt, SWIGTYPE_p_float x) { + swigfaissJNI.CenteringTransform_reverse_transform(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(xt), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/CharVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/CharVector.java new file mode 100644 index 000000000..e1b91127c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/CharVector.java @@ -0,0 +1,75 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class CharVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected CharVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(CharVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_CharVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public CharVector() { + this(swigfaissJNI.new_CharVector(), true); + } + + public void push_back(char arg0) { + swigfaissJNI.CharVector_push_back(swigCPtr, this, arg0); + } + + public void clear() { + swigfaissJNI.CharVector_clear(swigCPtr, this); + } + + public String data() { + return swigfaissJNI.CharVector_data(swigCPtr, this); + } + + public long size() { + return swigfaissJNI.CharVector_size(swigCPtr, this); + } + + public char at(long n) { + return swigfaissJNI.CharVector_at(swigCPtr, this, n); + } + + public void resize(long n) { + swigfaissJNI.CharVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.CharVector_reserve(swigCPtr, this, n); + } + + public void swap(CharVector other) { + swigfaissJNI.CharVector_swap(swigCPtr, this, CharVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/Clustering.java b/ann/src/main/java/com/twitter/ann/faiss/swig/Clustering.java new file mode 100644 index 000000000..d8fe51728 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/Clustering.java @@ -0,0 +1,101 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class Clustering extends ClusteringParameters { + private transient long swigCPtr; + + protected Clustering(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.Clustering_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(Clustering obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_Clustering(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setD(long value) { + swigfaissJNI.Clustering_d_set(swigCPtr, this, value); + } + + public long getD() { + return swigfaissJNI.Clustering_d_get(swigCPtr, this); + } + + public void setK(long value) { + swigfaissJNI.Clustering_k_set(swigCPtr, this, value); + } + + public long getK() { + return swigfaissJNI.Clustering_k_get(swigCPtr, this); + } + + public void setCentroids(FloatVector value) { + swigfaissJNI.Clustering_centroids_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getCentroids() { + long cPtr = swigfaissJNI.Clustering_centroids_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void setIteration_stats(SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t value) { + swigfaissJNI.Clustering_iteration_stats_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t getIteration_stats() { + long cPtr = swigfaissJNI.Clustering_iteration_stats_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t(cPtr, false); + } + + public Clustering(int d, int k) { + this(swigfaissJNI.new_Clustering__SWIG_0(d, k), true); + } + + public Clustering(int d, int k, ClusteringParameters cp) { + this(swigfaissJNI.new_Clustering__SWIG_1(d, k, ClusteringParameters.getCPtr(cp), cp), true); + } + + public void train(long n, SWIGTYPE_p_float x, Index index, SWIGTYPE_p_float x_weights) { + swigfaissJNI.Clustering_train__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), Index.getCPtr(index), index, SWIGTYPE_p_float.getCPtr(x_weights)); + } + + public void train(long n, SWIGTYPE_p_float x, Index index) { + swigfaissJNI.Clustering_train__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), Index.getCPtr(index), index); + } + + public void train_encoded(long nx, SWIGTYPE_p_unsigned_char x_in, Index codec, Index index, SWIGTYPE_p_float weights) { + swigfaissJNI.Clustering_train_encoded__SWIG_0(swigCPtr, this, nx, SWIGTYPE_p_unsigned_char.getCPtr(x_in), Index.getCPtr(codec), codec, Index.getCPtr(index), index, SWIGTYPE_p_float.getCPtr(weights)); + } + + public void train_encoded(long nx, SWIGTYPE_p_unsigned_char x_in, Index codec, Index index) { + swigfaissJNI.Clustering_train_encoded__SWIG_1(swigCPtr, this, nx, SWIGTYPE_p_unsigned_char.getCPtr(x_in), Index.getCPtr(codec), codec, Index.getCPtr(index), index); + } + + public void post_process_centroids() { + swigfaissJNI.Clustering_post_process_centroids(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/Clustering1D.java b/ann/src/main/java/com/twitter/ann/faiss/swig/Clustering1D.java new file mode 100644 index 000000000..8d4bc658c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/Clustering1D.java @@ -0,0 +1,51 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class Clustering1D extends Clustering { + private transient long swigCPtr; + + protected Clustering1D(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.Clustering1D_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(Clustering1D obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_Clustering1D(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public Clustering1D(int k) { + this(swigfaissJNI.new_Clustering1D__SWIG_0(k), true); + } + + public Clustering1D(int k, ClusteringParameters cp) { + this(swigfaissJNI.new_Clustering1D__SWIG_1(k, ClusteringParameters.getCPtr(cp), cp), true); + } + + public void train_exact(long n, SWIGTYPE_p_float x) { + swigfaissJNI.Clustering1D_train_exact(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ClusteringIterationStats.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ClusteringIterationStats.java new file mode 100644 index 000000000..b0fcb5d09 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ClusteringIterationStats.java @@ -0,0 +1,83 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ClusteringIterationStats { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ClusteringIterationStats(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ClusteringIterationStats obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ClusteringIterationStats(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setObj(float value) { + swigfaissJNI.ClusteringIterationStats_obj_set(swigCPtr, this, value); + } + + public float getObj() { + return swigfaissJNI.ClusteringIterationStats_obj_get(swigCPtr, this); + } + + public void setTime(double value) { + swigfaissJNI.ClusteringIterationStats_time_set(swigCPtr, this, value); + } + + public double getTime() { + return swigfaissJNI.ClusteringIterationStats_time_get(swigCPtr, this); + } + + public void setTime_search(double value) { + swigfaissJNI.ClusteringIterationStats_time_search_set(swigCPtr, this, value); + } + + public double getTime_search() { + return swigfaissJNI.ClusteringIterationStats_time_search_get(swigCPtr, this); + } + + public void setImbalance_factor(double value) { + swigfaissJNI.ClusteringIterationStats_imbalance_factor_set(swigCPtr, this, value); + } + + public double getImbalance_factor() { + return swigfaissJNI.ClusteringIterationStats_imbalance_factor_get(swigCPtr, this); + } + + public void setNsplit(int value) { + swigfaissJNI.ClusteringIterationStats_nsplit_set(swigCPtr, this, value); + } + + public int getNsplit() { + return swigfaissJNI.ClusteringIterationStats_nsplit_get(swigCPtr, this); + } + + public ClusteringIterationStats() { + this(swigfaissJNI.new_ClusteringIterationStats(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ClusteringParameters.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ClusteringParameters.java new file mode 100644 index 000000000..3c52d810f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ClusteringParameters.java @@ -0,0 +1,131 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ClusteringParameters { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ClusteringParameters(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ClusteringParameters obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ClusteringParameters(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNiter(int value) { + swigfaissJNI.ClusteringParameters_niter_set(swigCPtr, this, value); + } + + public int getNiter() { + return swigfaissJNI.ClusteringParameters_niter_get(swigCPtr, this); + } + + public void setNredo(int value) { + swigfaissJNI.ClusteringParameters_nredo_set(swigCPtr, this, value); + } + + public int getNredo() { + return swigfaissJNI.ClusteringParameters_nredo_get(swigCPtr, this); + } + + public void setVerbose(boolean value) { + swigfaissJNI.ClusteringParameters_verbose_set(swigCPtr, this, value); + } + + public boolean getVerbose() { + return swigfaissJNI.ClusteringParameters_verbose_get(swigCPtr, this); + } + + public void setSpherical(boolean value) { + swigfaissJNI.ClusteringParameters_spherical_set(swigCPtr, this, value); + } + + public boolean getSpherical() { + return swigfaissJNI.ClusteringParameters_spherical_get(swigCPtr, this); + } + + public void setInt_centroids(boolean value) { + swigfaissJNI.ClusteringParameters_int_centroids_set(swigCPtr, this, value); + } + + public boolean getInt_centroids() { + return swigfaissJNI.ClusteringParameters_int_centroids_get(swigCPtr, this); + } + + public void setUpdate_index(boolean value) { + swigfaissJNI.ClusteringParameters_update_index_set(swigCPtr, this, value); + } + + public boolean getUpdate_index() { + return swigfaissJNI.ClusteringParameters_update_index_get(swigCPtr, this); + } + + public void setFrozen_centroids(boolean value) { + swigfaissJNI.ClusteringParameters_frozen_centroids_set(swigCPtr, this, value); + } + + public boolean getFrozen_centroids() { + return swigfaissJNI.ClusteringParameters_frozen_centroids_get(swigCPtr, this); + } + + public void setMin_points_per_centroid(int value) { + swigfaissJNI.ClusteringParameters_min_points_per_centroid_set(swigCPtr, this, value); + } + + public int getMin_points_per_centroid() { + return swigfaissJNI.ClusteringParameters_min_points_per_centroid_get(swigCPtr, this); + } + + public void setMax_points_per_centroid(int value) { + swigfaissJNI.ClusteringParameters_max_points_per_centroid_set(swigCPtr, this, value); + } + + public int getMax_points_per_centroid() { + return swigfaissJNI.ClusteringParameters_max_points_per_centroid_get(swigCPtr, this); + } + + public void setSeed(int value) { + swigfaissJNI.ClusteringParameters_seed_set(swigCPtr, this, value); + } + + public int getSeed() { + return swigfaissJNI.ClusteringParameters_seed_get(swigCPtr, this); + } + + public void setDecode_block_size(long value) { + swigfaissJNI.ClusteringParameters_decode_block_size_set(swigCPtr, this, value); + } + + public long getDecode_block_size() { + return swigfaissJNI.ClusteringParameters_decode_block_size_get(swigCPtr, this); + } + + public ClusteringParameters() { + this(swigfaissJNI.new_ClusteringParameters(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/DistanceComputer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/DistanceComputer.java new file mode 100644 index 000000000..251ede16f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/DistanceComputer.java @@ -0,0 +1,47 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class DistanceComputer { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected DistanceComputer(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(DistanceComputer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_DistanceComputer(swigCPtr); + } + swigCPtr = 0; + } + } + + public void set_query(SWIGTYPE_p_float x) { + swigfaissJNI.DistanceComputer_set_query(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x)); + } + + public float symmetric_dis(long i, long j) { + return swigfaissJNI.DistanceComputer_symmetric_dis(swigCPtr, this, i, j); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/DoubleVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/DoubleVector.java new file mode 100644 index 000000000..c58001498 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/DoubleVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class DoubleVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected DoubleVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(DoubleVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_DoubleVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public DoubleVector() { + this(swigfaissJNI.new_DoubleVector(), true); + } + + public void push_back(double arg0) { + swigfaissJNI.DoubleVector_push_back(swigCPtr, this, arg0); + } + + public void clear() { + swigfaissJNI.DoubleVector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_double data() { + long cPtr = swigfaissJNI.DoubleVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_double(cPtr, false); + } + + public long size() { + return swigfaissJNI.DoubleVector_size(swigCPtr, this); + } + + public double at(long n) { + return swigfaissJNI.DoubleVector_at(swigCPtr, this, n); + } + + public void resize(long n) { + swigfaissJNI.DoubleVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.DoubleVector_reserve(swigCPtr, this, n); + } + + public void swap(DoubleVector other) { + swigfaissJNI.DoubleVector_swap(swigCPtr, this, DoubleVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/FloatVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/FloatVector.java new file mode 100644 index 000000000..7374ce3a2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/FloatVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class FloatVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected FloatVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(FloatVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_FloatVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public FloatVector() { + this(swigfaissJNI.new_FloatVector(), true); + } + + public void push_back(float arg0) { + swigfaissJNI.FloatVector_push_back(swigCPtr, this, arg0); + } + + public void clear() { + swigfaissJNI.FloatVector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_float data() { + long cPtr = swigfaissJNI.FloatVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public long size() { + return swigfaissJNI.FloatVector_size(swigCPtr, this); + } + + public float at(long n) { + return swigfaissJNI.FloatVector_at(swigCPtr, this, n); + } + + public void resize(long n) { + swigfaissJNI.FloatVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.FloatVector_reserve(swigCPtr, this, n); + } + + public void swap(FloatVector other) { + swigfaissJNI.FloatVector_swap(swigCPtr, this, FloatVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/FloatVectorVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/FloatVectorVector.java new file mode 100644 index 000000000..2aa7afbd2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/FloatVectorVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class FloatVectorVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected FloatVectorVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(FloatVectorVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_FloatVectorVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public FloatVectorVector() { + this(swigfaissJNI.new_FloatVectorVector(), true); + } + + public void push_back(FloatVector arg0) { + swigfaissJNI.FloatVectorVector_push_back(swigCPtr, this, FloatVector.getCPtr(arg0), arg0); + } + + public void clear() { + swigfaissJNI.FloatVectorVector_clear(swigCPtr, this); + } + + public FloatVector data() { + long cPtr = swigfaissJNI.FloatVectorVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public long size() { + return swigfaissJNI.FloatVectorVector_size(swigCPtr, this); + } + + public FloatVector at(long n) { + return new FloatVector(swigfaissJNI.FloatVectorVector_at(swigCPtr, this, n), true); + } + + public void resize(long n) { + swigfaissJNI.FloatVectorVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.FloatVectorVector_reserve(swigCPtr, this, n); + } + + public void swap(FloatVectorVector other) { + swigfaissJNI.FloatVectorVector_swap(swigCPtr, this, FloatVectorVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer16.java b/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer16.java new file mode 100644 index 000000000..2986d07de --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer16.java @@ -0,0 +1,63 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class GenHammingComputer16 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected GenHammingComputer16(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(GenHammingComputer16 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_GenHammingComputer16(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(long value) { + swigfaissJNI.GenHammingComputer16_a0_set(swigCPtr, this, value); + } + + public long getA0() { + return swigfaissJNI.GenHammingComputer16_a0_get(swigCPtr, this); + } + + public void setA1(long value) { + swigfaissJNI.GenHammingComputer16_a1_set(swigCPtr, this, value); + } + + public long getA1() { + return swigfaissJNI.GenHammingComputer16_a1_get(swigCPtr, this); + } + + public GenHammingComputer16(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_GenHammingComputer16(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.GenHammingComputer16_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer32.java b/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer32.java new file mode 100644 index 000000000..284a6ac8c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer32.java @@ -0,0 +1,79 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class GenHammingComputer32 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected GenHammingComputer32(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(GenHammingComputer32 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_GenHammingComputer32(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(long value) { + swigfaissJNI.GenHammingComputer32_a0_set(swigCPtr, this, value); + } + + public long getA0() { + return swigfaissJNI.GenHammingComputer32_a0_get(swigCPtr, this); + } + + public void setA1(long value) { + swigfaissJNI.GenHammingComputer32_a1_set(swigCPtr, this, value); + } + + public long getA1() { + return swigfaissJNI.GenHammingComputer32_a1_get(swigCPtr, this); + } + + public void setA2(long value) { + swigfaissJNI.GenHammingComputer32_a2_set(swigCPtr, this, value); + } + + public long getA2() { + return swigfaissJNI.GenHammingComputer32_a2_get(swigCPtr, this); + } + + public void setA3(long value) { + swigfaissJNI.GenHammingComputer32_a3_set(swigCPtr, this, value); + } + + public long getA3() { + return swigfaissJNI.GenHammingComputer32_a3_get(swigCPtr, this); + } + + public GenHammingComputer32(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_GenHammingComputer32(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.GenHammingComputer32_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer8.java b/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer8.java new file mode 100644 index 000000000..063b873df --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputer8.java @@ -0,0 +1,55 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class GenHammingComputer8 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected GenHammingComputer8(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(GenHammingComputer8 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_GenHammingComputer8(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(long value) { + swigfaissJNI.GenHammingComputer8_a0_set(swigCPtr, this, value); + } + + public long getA0() { + return swigfaissJNI.GenHammingComputer8_a0_get(swigCPtr, this); + } + + public GenHammingComputer8(SWIGTYPE_p_unsigned_char a, int code_size) { + this(swigfaissJNI.new_GenHammingComputer8(SWIGTYPE_p_unsigned_char.getCPtr(a), code_size), true); + } + + public int hamming(SWIGTYPE_p_unsigned_char b) { + return swigfaissJNI.GenHammingComputer8_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputerM8.java b/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputerM8.java new file mode 100644 index 000000000..89ba44588 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/GenHammingComputerM8.java @@ -0,0 +1,64 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class GenHammingComputerM8 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected GenHammingComputerM8(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(GenHammingComputerM8 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_GenHammingComputerM8(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA(SWIGTYPE_p_unsigned_long value) { + swigfaissJNI.GenHammingComputerM8_a_set(swigCPtr, this, SWIGTYPE_p_unsigned_long.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_long getA() { + long cPtr = swigfaissJNI.GenHammingComputerM8_a_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_long(cPtr, false); + } + + public void setN(int value) { + swigfaissJNI.GenHammingComputerM8_n_set(swigCPtr, this, value); + } + + public int getN() { + return swigfaissJNI.GenHammingComputerM8_n_get(swigCPtr, this); + } + + public GenHammingComputerM8(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_GenHammingComputerM8(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.GenHammingComputerM8_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HNSW.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HNSW.java new file mode 100644 index 000000000..5be46f042 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HNSW.java @@ -0,0 +1,437 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HNSW { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HNSW(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HNSW obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HNSW(swigCPtr); + } + swigCPtr = 0; + } + } + + static public class MinimaxHeap { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected MinimaxHeap(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(MinimaxHeap obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HNSW_MinimaxHeap(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setN(int value) { + swigfaissJNI.HNSW_MinimaxHeap_n_set(swigCPtr, this, value); + } + + public int getN() { + return swigfaissJNI.HNSW_MinimaxHeap_n_get(swigCPtr, this); + } + + public void setK(int value) { + swigfaissJNI.HNSW_MinimaxHeap_k_set(swigCPtr, this, value); + } + + public int getK() { + return swigfaissJNI.HNSW_MinimaxHeap_k_get(swigCPtr, this); + } + + public void setNvalid(int value) { + swigfaissJNI.HNSW_MinimaxHeap_nvalid_set(swigCPtr, this, value); + } + + public int getNvalid() { + return swigfaissJNI.HNSW_MinimaxHeap_nvalid_get(swigCPtr, this); + } + + public void setIds(IntVector value) { + swigfaissJNI.HNSW_MinimaxHeap_ids_set(swigCPtr, this, IntVector.getCPtr(value), value); + } + + public IntVector getIds() { + long cPtr = swigfaissJNI.HNSW_MinimaxHeap_ids_get(swigCPtr, this); + return (cPtr == 0) ? null : new IntVector(cPtr, false); + } + + public void setDis(FloatVector value) { + swigfaissJNI.HNSW_MinimaxHeap_dis_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getDis() { + long cPtr = swigfaissJNI.HNSW_MinimaxHeap_dis_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public MinimaxHeap(int n) { + this(swigfaissJNI.new_HNSW_MinimaxHeap(n), true); + } + + public void push(int i, float v) { + swigfaissJNI.HNSW_MinimaxHeap_push(swigCPtr, this, i, v); + } + + public float max() { + return swigfaissJNI.HNSW_MinimaxHeap_max(swigCPtr, this); + } + + public int size() { + return swigfaissJNI.HNSW_MinimaxHeap_size(swigCPtr, this); + } + + public void clear() { + swigfaissJNI.HNSW_MinimaxHeap_clear(swigCPtr, this); + } + + public int pop_min(SWIGTYPE_p_float vmin_out) { + return swigfaissJNI.HNSW_MinimaxHeap_pop_min__SWIG_0(swigCPtr, this, SWIGTYPE_p_float.getCPtr(vmin_out)); + } + + public int pop_min() { + return swigfaissJNI.HNSW_MinimaxHeap_pop_min__SWIG_1(swigCPtr, this); + } + + public int count_below(float thresh) { + return swigfaissJNI.HNSW_MinimaxHeap_count_below(swigCPtr, this, thresh); + } + + } + + static public class NodeDistCloser { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected NodeDistCloser(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(NodeDistCloser obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HNSW_NodeDistCloser(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setD(float value) { + swigfaissJNI.HNSW_NodeDistCloser_d_set(swigCPtr, this, value); + } + + public float getD() { + return swigfaissJNI.HNSW_NodeDistCloser_d_get(swigCPtr, this); + } + + public void setId(int value) { + swigfaissJNI.HNSW_NodeDistCloser_id_set(swigCPtr, this, value); + } + + public int getId() { + return swigfaissJNI.HNSW_NodeDistCloser_id_get(swigCPtr, this); + } + + public NodeDistCloser(float d, int id) { + this(swigfaissJNI.new_HNSW_NodeDistCloser(d, id), true); + } + + } + + static public class NodeDistFarther { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected NodeDistFarther(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(NodeDistFarther obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HNSW_NodeDistFarther(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setD(float value) { + swigfaissJNI.HNSW_NodeDistFarther_d_set(swigCPtr, this, value); + } + + public float getD() { + return swigfaissJNI.HNSW_NodeDistFarther_d_get(swigCPtr, this); + } + + public void setId(int value) { + swigfaissJNI.HNSW_NodeDistFarther_id_set(swigCPtr, this, value); + } + + public int getId() { + return swigfaissJNI.HNSW_NodeDistFarther_id_get(swigCPtr, this); + } + + public NodeDistFarther(float d, int id) { + this(swigfaissJNI.new_HNSW_NodeDistFarther(d, id), true); + } + + } + + public void setAssign_probas(DoubleVector value) { + swigfaissJNI.HNSW_assign_probas_set(swigCPtr, this, DoubleVector.getCPtr(value), value); + } + + public DoubleVector getAssign_probas() { + long cPtr = swigfaissJNI.HNSW_assign_probas_get(swigCPtr, this); + return (cPtr == 0) ? null : new DoubleVector(cPtr, false); + } + + public void setCum_nneighbor_per_level(IntVector value) { + swigfaissJNI.HNSW_cum_nneighbor_per_level_set(swigCPtr, this, IntVector.getCPtr(value), value); + } + + public IntVector getCum_nneighbor_per_level() { + long cPtr = swigfaissJNI.HNSW_cum_nneighbor_per_level_get(swigCPtr, this); + return (cPtr == 0) ? null : new IntVector(cPtr, false); + } + + public void setLevels(IntVector value) { + swigfaissJNI.HNSW_levels_set(swigCPtr, this, IntVector.getCPtr(value), value); + } + + public IntVector getLevels() { + long cPtr = swigfaissJNI.HNSW_levels_get(swigCPtr, this); + return (cPtr == 0) ? null : new IntVector(cPtr, false); + } + + public void setOffsets(Uint64Vector value) { + swigfaissJNI.HNSW_offsets_set(swigCPtr, this, Uint64Vector.getCPtr(value), value); + } + + public Uint64Vector getOffsets() { + long cPtr = swigfaissJNI.HNSW_offsets_get(swigCPtr, this); + return (cPtr == 0) ? null : new Uint64Vector(cPtr, false); + } + + public void setNeighbors(IntVector value) { + swigfaissJNI.HNSW_neighbors_set(swigCPtr, this, IntVector.getCPtr(value), value); + } + + public IntVector getNeighbors() { + long cPtr = swigfaissJNI.HNSW_neighbors_get(swigCPtr, this); + return (cPtr == 0) ? null : new IntVector(cPtr, false); + } + + public void setEntry_point(int value) { + swigfaissJNI.HNSW_entry_point_set(swigCPtr, this, value); + } + + public int getEntry_point() { + return swigfaissJNI.HNSW_entry_point_get(swigCPtr, this); + } + + public void setRng(SWIGTYPE_p_faiss__RandomGenerator value) { + swigfaissJNI.HNSW_rng_set(swigCPtr, this, SWIGTYPE_p_faiss__RandomGenerator.getCPtr(value)); + } + + public SWIGTYPE_p_faiss__RandomGenerator getRng() { + long cPtr = swigfaissJNI.HNSW_rng_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__RandomGenerator(cPtr, false); + } + + public void setMax_level(int value) { + swigfaissJNI.HNSW_max_level_set(swigCPtr, this, value); + } + + public int getMax_level() { + return swigfaissJNI.HNSW_max_level_get(swigCPtr, this); + } + + public void setEfConstruction(int value) { + swigfaissJNI.HNSW_efConstruction_set(swigCPtr, this, value); + } + + public int getEfConstruction() { + return swigfaissJNI.HNSW_efConstruction_get(swigCPtr, this); + } + + public void setEfSearch(int value) { + swigfaissJNI.HNSW_efSearch_set(swigCPtr, this, value); + } + + public int getEfSearch() { + return swigfaissJNI.HNSW_efSearch_get(swigCPtr, this); + } + + public void setCheck_relative_distance(boolean value) { + swigfaissJNI.HNSW_check_relative_distance_set(swigCPtr, this, value); + } + + public boolean getCheck_relative_distance() { + return swigfaissJNI.HNSW_check_relative_distance_get(swigCPtr, this); + } + + public void setUpper_beam(int value) { + swigfaissJNI.HNSW_upper_beam_set(swigCPtr, this, value); + } + + public int getUpper_beam() { + return swigfaissJNI.HNSW_upper_beam_get(swigCPtr, this); + } + + public void setSearch_bounded_queue(boolean value) { + swigfaissJNI.HNSW_search_bounded_queue_set(swigCPtr, this, value); + } + + public boolean getSearch_bounded_queue() { + return swigfaissJNI.HNSW_search_bounded_queue_get(swigCPtr, this); + } + + public void set_default_probas(int M, float levelMult) { + swigfaissJNI.HNSW_set_default_probas(swigCPtr, this, M, levelMult); + } + + public void set_nb_neighbors(int level_no, int n) { + swigfaissJNI.HNSW_set_nb_neighbors(swigCPtr, this, level_no, n); + } + + public int nb_neighbors(int layer_no) { + return swigfaissJNI.HNSW_nb_neighbors(swigCPtr, this, layer_no); + } + + public int cum_nb_neighbors(int layer_no) { + return swigfaissJNI.HNSW_cum_nb_neighbors(swigCPtr, this, layer_no); + } + + public void neighbor_range(long no, int layer_no, SWIGTYPE_p_unsigned_long begin, SWIGTYPE_p_unsigned_long end) { + swigfaissJNI.HNSW_neighbor_range(swigCPtr, this, no, layer_no, SWIGTYPE_p_unsigned_long.getCPtr(begin), SWIGTYPE_p_unsigned_long.getCPtr(end)); + } + + public HNSW(int M) { + this(swigfaissJNI.new_HNSW__SWIG_0(M), true); + } + + public HNSW() { + this(swigfaissJNI.new_HNSW__SWIG_1(), true); + } + + public int random_level() { + return swigfaissJNI.HNSW_random_level(swigCPtr, this); + } + + public void fill_with_random_links(long n) { + swigfaissJNI.HNSW_fill_with_random_links(swigCPtr, this, n); + } + + public void add_links_starting_from(DistanceComputer ptdis, int pt_id, int nearest, float d_nearest, int level, SWIGTYPE_p_omp_lock_t locks, VisitedTable vt) { + swigfaissJNI.HNSW_add_links_starting_from(swigCPtr, this, DistanceComputer.getCPtr(ptdis), ptdis, pt_id, nearest, d_nearest, level, SWIGTYPE_p_omp_lock_t.getCPtr(locks), VisitedTable.getCPtr(vt), vt); + } + + public void add_with_locks(DistanceComputer ptdis, int pt_level, int pt_id, SWIGTYPE_p_std__vectorT_omp_lock_t_t locks, VisitedTable vt) { + swigfaissJNI.HNSW_add_with_locks(swigCPtr, this, DistanceComputer.getCPtr(ptdis), ptdis, pt_level, pt_id, SWIGTYPE_p_std__vectorT_omp_lock_t_t.getCPtr(locks), VisitedTable.getCPtr(vt), vt); + } + + public int search_from_candidates(DistanceComputer qdis, int k, LongVector I, SWIGTYPE_p_float D, HNSW.MinimaxHeap candidates, VisitedTable vt, HNSWStats stats, int level, int nres_in) { + return swigfaissJNI.HNSW_search_from_candidates__SWIG_0(swigCPtr, this, DistanceComputer.getCPtr(qdis), qdis, k, SWIGTYPE_p_long_long.getCPtr(I.data()), I, SWIGTYPE_p_float.getCPtr(D), HNSW.MinimaxHeap.getCPtr(candidates), candidates, VisitedTable.getCPtr(vt), vt, HNSWStats.getCPtr(stats), stats, level, nres_in); + } + + public int search_from_candidates(DistanceComputer qdis, int k, LongVector I, SWIGTYPE_p_float D, HNSW.MinimaxHeap candidates, VisitedTable vt, HNSWStats stats, int level) { + return swigfaissJNI.HNSW_search_from_candidates__SWIG_1(swigCPtr, this, DistanceComputer.getCPtr(qdis), qdis, k, SWIGTYPE_p_long_long.getCPtr(I.data()), I, SWIGTYPE_p_float.getCPtr(D), HNSW.MinimaxHeap.getCPtr(candidates), candidates, VisitedTable.getCPtr(vt), vt, HNSWStats.getCPtr(stats), stats, level); + } + + public SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t search_from_candidate_unbounded(SWIGTYPE_p_std__pairT_float_int_t node, DistanceComputer qdis, int ef, VisitedTable vt, HNSWStats stats) { + return new SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t(swigfaissJNI.HNSW_search_from_candidate_unbounded(swigCPtr, this, SWIGTYPE_p_std__pairT_float_int_t.getCPtr(node), DistanceComputer.getCPtr(qdis), qdis, ef, VisitedTable.getCPtr(vt), vt, HNSWStats.getCPtr(stats), stats), true); + } + + public HNSWStats search(DistanceComputer qdis, int k, LongVector I, SWIGTYPE_p_float D, VisitedTable vt) { + return new HNSWStats(swigfaissJNI.HNSW_search(swigCPtr, this, DistanceComputer.getCPtr(qdis), qdis, k, SWIGTYPE_p_long_long.getCPtr(I.data()), I, SWIGTYPE_p_float.getCPtr(D), VisitedTable.getCPtr(vt), vt), true); + } + + public void reset() { + swigfaissJNI.HNSW_reset(swigCPtr, this); + } + + public void clear_neighbor_tables(int level) { + swigfaissJNI.HNSW_clear_neighbor_tables(swigCPtr, this, level); + } + + public void print_neighbor_stats(int level) { + swigfaissJNI.HNSW_print_neighbor_stats(swigCPtr, this, level); + } + + public int prepare_level_tab(long n, boolean preset_levels) { + return swigfaissJNI.HNSW_prepare_level_tab__SWIG_0(swigCPtr, this, n, preset_levels); + } + + public int prepare_level_tab(long n) { + return swigfaissJNI.HNSW_prepare_level_tab__SWIG_1(swigCPtr, this, n); + } + + public static void shrink_neighbor_list(DistanceComputer qdis, SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t input, SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t output, int max_size) { + swigfaissJNI.HNSW_shrink_neighbor_list(DistanceComputer.getCPtr(qdis), qdis, SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t.getCPtr(input), SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t.getCPtr(output), max_size); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HNSWStats.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HNSWStats.java new file mode 100644 index 000000000..baf388f5a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HNSWStats.java @@ -0,0 +1,111 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HNSWStats { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HNSWStats(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HNSWStats obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HNSWStats(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setN1(long value) { + swigfaissJNI.HNSWStats_n1_set(swigCPtr, this, value); + } + + public long getN1() { + return swigfaissJNI.HNSWStats_n1_get(swigCPtr, this); + } + + public void setN2(long value) { + swigfaissJNI.HNSWStats_n2_set(swigCPtr, this, value); + } + + public long getN2() { + return swigfaissJNI.HNSWStats_n2_get(swigCPtr, this); + } + + public void setN3(long value) { + swigfaissJNI.HNSWStats_n3_set(swigCPtr, this, value); + } + + public long getN3() { + return swigfaissJNI.HNSWStats_n3_get(swigCPtr, this); + } + + public void setNdis(long value) { + swigfaissJNI.HNSWStats_ndis_set(swigCPtr, this, value); + } + + public long getNdis() { + return swigfaissJNI.HNSWStats_ndis_get(swigCPtr, this); + } + + public void setNreorder(long value) { + swigfaissJNI.HNSWStats_nreorder_set(swigCPtr, this, value); + } + + public long getNreorder() { + return swigfaissJNI.HNSWStats_nreorder_get(swigCPtr, this); + } + + public HNSWStats(long n1, long n2, long n3, long ndis, long nreorder) { + this(swigfaissJNI.new_HNSWStats__SWIG_0(n1, n2, n3, ndis, nreorder), true); + } + + public HNSWStats(long n1, long n2, long n3, long ndis) { + this(swigfaissJNI.new_HNSWStats__SWIG_1(n1, n2, n3, ndis), true); + } + + public HNSWStats(long n1, long n2, long n3) { + this(swigfaissJNI.new_HNSWStats__SWIG_2(n1, n2, n3), true); + } + + public HNSWStats(long n1, long n2) { + this(swigfaissJNI.new_HNSWStats__SWIG_3(n1, n2), true); + } + + public HNSWStats(long n1) { + this(swigfaissJNI.new_HNSWStats__SWIG_4(n1), true); + } + + public HNSWStats() { + this(swigfaissJNI.new_HNSWStats__SWIG_5(), true); + } + + public void reset() { + swigfaissJNI.HNSWStats_reset(swigCPtr, this); + } + + public void combine(HNSWStats other) { + swigfaissJNI.HNSWStats_combine(swigCPtr, this, HNSWStats.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HStackInvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HStackInvertedLists.java new file mode 100644 index 000000000..52e5c3b8c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HStackInvertedLists.java @@ -0,0 +1,86 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HStackInvertedLists extends ReadOnlyInvertedLists { + private transient long swigCPtr; + + protected HStackInvertedLists(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.HStackInvertedLists_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(HStackInvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HStackInvertedLists(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setIls(SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t value) { + swigfaissJNI.HStackInvertedLists_ils_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t getIls() { + long cPtr = swigfaissJNI.HStackInvertedLists_ils_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t(cPtr, false); + } + + public HStackInvertedLists(int nil, SWIGTYPE_p_p_faiss__InvertedLists ils) { + this(swigfaissJNI.new_HStackInvertedLists(nil, SWIGTYPE_p_p_faiss__InvertedLists.getCPtr(ils)), true); + } + + public long list_size(long list_no) { + return swigfaissJNI.HStackInvertedLists_list_size(swigCPtr, this, list_no); + } + + public SWIGTYPE_p_unsigned_char get_codes(long list_no) { + long cPtr = swigfaissJNI.HStackInvertedLists_get_codes(swigCPtr, this, list_no); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public LongVector get_ids(long list_no) { + return new LongVector(swigfaissJNI.HStackInvertedLists_get_ids(swigCPtr, this, list_no), false); +} + + public void prefetch_lists(LongVector list_nos, int nlist) { + swigfaissJNI.HStackInvertedLists_prefetch_lists(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, nlist); + } + + public void release_codes(long list_no, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.HStackInvertedLists_release_codes(swigCPtr, this, list_no, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void release_ids(long list_no, LongVector ids) { + swigfaissJNI.HStackInvertedLists_release_ids(swigCPtr, this, list_no, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids); + } + + public long get_single_id(long list_no, long offset) { + return swigfaissJNI.HStackInvertedLists_get_single_id(swigCPtr, this, list_no, offset); +} + + public SWIGTYPE_p_unsigned_char get_single_code(long list_no, long offset) { + long cPtr = swigfaissJNI.HStackInvertedLists_get_single_code(swigCPtr, this, list_no, offset); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer16.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer16.java new file mode 100644 index 000000000..14727d083 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer16.java @@ -0,0 +1,71 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputer16 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputer16(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputer16 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputer16(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(long value) { + swigfaissJNI.HammingComputer16_a0_set(swigCPtr, this, value); + } + + public long getA0() { + return swigfaissJNI.HammingComputer16_a0_get(swigCPtr, this); + } + + public void setA1(long value) { + swigfaissJNI.HammingComputer16_a1_set(swigCPtr, this, value); + } + + public long getA1() { + return swigfaissJNI.HammingComputer16_a1_get(swigCPtr, this); + } + + public HammingComputer16() { + this(swigfaissJNI.new_HammingComputer16__SWIG_0(), true); + } + + public HammingComputer16(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_HammingComputer16__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a8, int code_size) { + swigfaissJNI.HammingComputer16_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.HammingComputer16_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer20.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer20.java new file mode 100644 index 000000000..68857db2b --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer20.java @@ -0,0 +1,79 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputer20 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputer20(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputer20 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputer20(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(long value) { + swigfaissJNI.HammingComputer20_a0_set(swigCPtr, this, value); + } + + public long getA0() { + return swigfaissJNI.HammingComputer20_a0_get(swigCPtr, this); + } + + public void setA1(long value) { + swigfaissJNI.HammingComputer20_a1_set(swigCPtr, this, value); + } + + public long getA1() { + return swigfaissJNI.HammingComputer20_a1_get(swigCPtr, this); + } + + public void setA2(SWIGTYPE_p_uint32_t value) { + swigfaissJNI.HammingComputer20_a2_set(swigCPtr, this, SWIGTYPE_p_uint32_t.getCPtr(value)); + } + + public SWIGTYPE_p_uint32_t getA2() { + return new SWIGTYPE_p_uint32_t(swigfaissJNI.HammingComputer20_a2_get(swigCPtr, this), true); + } + + public HammingComputer20() { + this(swigfaissJNI.new_HammingComputer20__SWIG_0(), true); + } + + public HammingComputer20(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_HammingComputer20__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a8, int code_size) { + swigfaissJNI.HammingComputer20_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.HammingComputer20_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer32.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer32.java new file mode 100644 index 000000000..78207d8eb --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer32.java @@ -0,0 +1,87 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputer32 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputer32(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputer32 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputer32(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(long value) { + swigfaissJNI.HammingComputer32_a0_set(swigCPtr, this, value); + } + + public long getA0() { + return swigfaissJNI.HammingComputer32_a0_get(swigCPtr, this); + } + + public void setA1(long value) { + swigfaissJNI.HammingComputer32_a1_set(swigCPtr, this, value); + } + + public long getA1() { + return swigfaissJNI.HammingComputer32_a1_get(swigCPtr, this); + } + + public void setA2(long value) { + swigfaissJNI.HammingComputer32_a2_set(swigCPtr, this, value); + } + + public long getA2() { + return swigfaissJNI.HammingComputer32_a2_get(swigCPtr, this); + } + + public void setA3(long value) { + swigfaissJNI.HammingComputer32_a3_set(swigCPtr, this, value); + } + + public long getA3() { + return swigfaissJNI.HammingComputer32_a3_get(swigCPtr, this); + } + + public HammingComputer32() { + this(swigfaissJNI.new_HammingComputer32__SWIG_0(), true); + } + + public HammingComputer32(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_HammingComputer32__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a8, int code_size) { + swigfaissJNI.HammingComputer32_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.HammingComputer32_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer4.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer4.java new file mode 100644 index 000000000..3f8b67605 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer4.java @@ -0,0 +1,63 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputer4 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputer4(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputer4 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputer4(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(SWIGTYPE_p_uint32_t value) { + swigfaissJNI.HammingComputer4_a0_set(swigCPtr, this, SWIGTYPE_p_uint32_t.getCPtr(value)); + } + + public SWIGTYPE_p_uint32_t getA0() { + return new SWIGTYPE_p_uint32_t(swigfaissJNI.HammingComputer4_a0_get(swigCPtr, this), true); + } + + public HammingComputer4() { + this(swigfaissJNI.new_HammingComputer4__SWIG_0(), true); + } + + public HammingComputer4(SWIGTYPE_p_unsigned_char a, int code_size) { + this(swigfaissJNI.new_HammingComputer4__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a, int code_size) { + swigfaissJNI.HammingComputer4_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b) { + return swigfaissJNI.HammingComputer4_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer64.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer64.java new file mode 100644 index 000000000..d1962d367 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer64.java @@ -0,0 +1,119 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputer64 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputer64(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputer64 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputer64(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(long value) { + swigfaissJNI.HammingComputer64_a0_set(swigCPtr, this, value); + } + + public long getA0() { + return swigfaissJNI.HammingComputer64_a0_get(swigCPtr, this); + } + + public void setA1(long value) { + swigfaissJNI.HammingComputer64_a1_set(swigCPtr, this, value); + } + + public long getA1() { + return swigfaissJNI.HammingComputer64_a1_get(swigCPtr, this); + } + + public void setA2(long value) { + swigfaissJNI.HammingComputer64_a2_set(swigCPtr, this, value); + } + + public long getA2() { + return swigfaissJNI.HammingComputer64_a2_get(swigCPtr, this); + } + + public void setA3(long value) { + swigfaissJNI.HammingComputer64_a3_set(swigCPtr, this, value); + } + + public long getA3() { + return swigfaissJNI.HammingComputer64_a3_get(swigCPtr, this); + } + + public void setA4(long value) { + swigfaissJNI.HammingComputer64_a4_set(swigCPtr, this, value); + } + + public long getA4() { + return swigfaissJNI.HammingComputer64_a4_get(swigCPtr, this); + } + + public void setA5(long value) { + swigfaissJNI.HammingComputer64_a5_set(swigCPtr, this, value); + } + + public long getA5() { + return swigfaissJNI.HammingComputer64_a5_get(swigCPtr, this); + } + + public void setA6(long value) { + swigfaissJNI.HammingComputer64_a6_set(swigCPtr, this, value); + } + + public long getA6() { + return swigfaissJNI.HammingComputer64_a6_get(swigCPtr, this); + } + + public void setA7(long value) { + swigfaissJNI.HammingComputer64_a7_set(swigCPtr, this, value); + } + + public long getA7() { + return swigfaissJNI.HammingComputer64_a7_get(swigCPtr, this); + } + + public HammingComputer64() { + this(swigfaissJNI.new_HammingComputer64__SWIG_0(), true); + } + + public HammingComputer64(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_HammingComputer64__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a8, int code_size) { + swigfaissJNI.HammingComputer64_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.HammingComputer64_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer8.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer8.java new file mode 100644 index 000000000..16c7eb8a9 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputer8.java @@ -0,0 +1,63 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputer8 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputer8(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputer8 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputer8(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA0(long value) { + swigfaissJNI.HammingComputer8_a0_set(swigCPtr, this, value); + } + + public long getA0() { + return swigfaissJNI.HammingComputer8_a0_get(swigCPtr, this); + } + + public HammingComputer8() { + this(swigfaissJNI.new_HammingComputer8__SWIG_0(), true); + } + + public HammingComputer8(SWIGTYPE_p_unsigned_char a, int code_size) { + this(swigfaissJNI.new_HammingComputer8__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a, int code_size) { + swigfaissJNI.HammingComputer8_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b) { + return swigfaissJNI.HammingComputer8_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerDefault.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerDefault.java new file mode 100644 index 000000000..b569f8ed0 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerDefault.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputerDefault { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputerDefault(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputerDefault obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputerDefault(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA8(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.HammingComputerDefault_a8_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getA8() { + long cPtr = swigfaissJNI.HammingComputerDefault_a8_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void setQuotient8(int value) { + swigfaissJNI.HammingComputerDefault_quotient8_set(swigCPtr, this, value); + } + + public int getQuotient8() { + return swigfaissJNI.HammingComputerDefault_quotient8_get(swigCPtr, this); + } + + public void setRemainder8(int value) { + swigfaissJNI.HammingComputerDefault_remainder8_set(swigCPtr, this, value); + } + + public int getRemainder8() { + return swigfaissJNI.HammingComputerDefault_remainder8_get(swigCPtr, this); + } + + public HammingComputerDefault() { + this(swigfaissJNI.new_HammingComputerDefault__SWIG_0(), true); + } + + public HammingComputerDefault(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_HammingComputerDefault__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a8, int code_size) { + swigfaissJNI.HammingComputerDefault_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.HammingComputerDefault_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerM4.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerM4.java new file mode 100644 index 000000000..386fbda61 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerM4.java @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputerM4 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputerM4(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputerM4 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputerM4(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA(SWIGTYPE_p_uint32_t value) { + swigfaissJNI.HammingComputerM4_a_set(swigCPtr, this, SWIGTYPE_p_uint32_t.getCPtr(value)); + } + + public SWIGTYPE_p_uint32_t getA() { + long cPtr = swigfaissJNI.HammingComputerM4_a_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_uint32_t(cPtr, false); + } + + public void setN(int value) { + swigfaissJNI.HammingComputerM4_n_set(swigCPtr, this, value); + } + + public int getN() { + return swigfaissJNI.HammingComputerM4_n_get(swigCPtr, this); + } + + public HammingComputerM4() { + this(swigfaissJNI.new_HammingComputerM4__SWIG_0(), true); + } + + public HammingComputerM4(SWIGTYPE_p_unsigned_char a4, int code_size) { + this(swigfaissJNI.new_HammingComputerM4__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a4), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a4, int code_size) { + swigfaissJNI.HammingComputerM4_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a4), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.HammingComputerM4_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerM8.java b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerM8.java new file mode 100644 index 000000000..24a520476 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/HammingComputerM8.java @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class HammingComputerM8 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected HammingComputerM8(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(HammingComputerM8 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_HammingComputerM8(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setA(SWIGTYPE_p_unsigned_long value) { + swigfaissJNI.HammingComputerM8_a_set(swigCPtr, this, SWIGTYPE_p_unsigned_long.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_long getA() { + long cPtr = swigfaissJNI.HammingComputerM8_a_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_long(cPtr, false); + } + + public void setN(int value) { + swigfaissJNI.HammingComputerM8_n_set(swigCPtr, this, value); + } + + public int getN() { + return swigfaissJNI.HammingComputerM8_n_get(swigCPtr, this); + } + + public HammingComputerM8() { + this(swigfaissJNI.new_HammingComputerM8__SWIG_0(), true); + } + + public HammingComputerM8(SWIGTYPE_p_unsigned_char a8, int code_size) { + this(swigfaissJNI.new_HammingComputerM8__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size), true); + } + + public void set(SWIGTYPE_p_unsigned_char a8, int code_size) { + swigfaissJNI.HammingComputerM8_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(a8), code_size); + } + + public int hamming(SWIGTYPE_p_unsigned_char b8) { + return swigfaissJNI.HammingComputerM8_hamming(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(b8)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelector.java new file mode 100644 index 000000000..893f28bb2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelector.java @@ -0,0 +1,43 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IDSelector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected IDSelector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(IDSelector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IDSelector(swigCPtr); + } + swigCPtr = 0; + } + } + + public boolean is_member(long id) { + return swigfaissJNI.IDSelector_is_member(swigCPtr, this, id); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorArray.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorArray.java new file mode 100644 index 000000000..42c4860f2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorArray.java @@ -0,0 +1,63 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IDSelectorArray extends IDSelector { + private transient long swigCPtr; + + protected IDSelectorArray(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IDSelectorArray_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IDSelectorArray obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IDSelectorArray(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setN(long value) { + swigfaissJNI.IDSelectorArray_n_set(swigCPtr, this, value); + } + + public long getN() { + return swigfaissJNI.IDSelectorArray_n_get(swigCPtr, this); + } + + public void setIds(LongVector value) { + swigfaissJNI.IDSelectorArray_ids_set(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(value.data()), value); + } + + public LongVector getIds() { + return new LongVector(swigfaissJNI.IDSelectorArray_ids_get(swigCPtr, this), false); +} + + public IDSelectorArray(long n, LongVector ids) { + this(swigfaissJNI.new_IDSelectorArray(n, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids), true); + } + + public boolean is_member(long id) { + return swigfaissJNI.IDSelectorArray_is_member(swigCPtr, this, id); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorBatch.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorBatch.java new file mode 100644 index 000000000..69988c1be --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorBatch.java @@ -0,0 +1,63 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IDSelectorBatch extends IDSelector { + private transient long swigCPtr; + + protected IDSelectorBatch(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IDSelectorBatch_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IDSelectorBatch obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IDSelectorBatch(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setNbits(int value) { + swigfaissJNI.IDSelectorBatch_nbits_set(swigCPtr, this, value); + } + + public int getNbits() { + return swigfaissJNI.IDSelectorBatch_nbits_get(swigCPtr, this); + } + + public void setMask(long value) { + swigfaissJNI.IDSelectorBatch_mask_set(swigCPtr, this, value); + } + + public long getMask() { + return swigfaissJNI.IDSelectorBatch_mask_get(swigCPtr, this); +} + + public IDSelectorBatch(long n, LongVector indices) { + this(swigfaissJNI.new_IDSelectorBatch(n, SWIGTYPE_p_long_long.getCPtr(indices.data()), indices), true); + } + + public boolean is_member(long id) { + return swigfaissJNI.IDSelectorBatch_is_member(swigCPtr, this, id); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorRange.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorRange.java new file mode 100644 index 000000000..c8f49eb88 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IDSelectorRange.java @@ -0,0 +1,63 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IDSelectorRange extends IDSelector { + private transient long swigCPtr; + + protected IDSelectorRange(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IDSelectorRange_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IDSelectorRange obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IDSelectorRange(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setImin(long value) { + swigfaissJNI.IDSelectorRange_imin_set(swigCPtr, this, value); + } + + public long getImin() { + return swigfaissJNI.IDSelectorRange_imin_get(swigCPtr, this); +} + + public void setImax(long value) { + swigfaissJNI.IDSelectorRange_imax_set(swigCPtr, this, value); + } + + public long getImax() { + return swigfaissJNI.IDSelectorRange_imax_get(swigCPtr, this); +} + + public IDSelectorRange(long imin, long imax) { + this(swigfaissJNI.new_IDSelectorRange(imin, imax), true); + } + + public boolean is_member(long id) { + return swigfaissJNI.IDSelectorRange_is_member(swigCPtr, this, id); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ITQMatrix.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ITQMatrix.java new file mode 100644 index 000000000..333577c44 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ITQMatrix.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ITQMatrix extends LinearTransform { + private transient long swigCPtr; + + protected ITQMatrix(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.ITQMatrix_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(ITQMatrix obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ITQMatrix(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setMax_iter(int value) { + swigfaissJNI.ITQMatrix_max_iter_set(swigCPtr, this, value); + } + + public int getMax_iter() { + return swigfaissJNI.ITQMatrix_max_iter_get(swigCPtr, this); + } + + public void setSeed(int value) { + swigfaissJNI.ITQMatrix_seed_set(swigCPtr, this, value); + } + + public int getSeed() { + return swigfaissJNI.ITQMatrix_seed_get(swigCPtr, this); + } + + public void setInit_rotation(DoubleVector value) { + swigfaissJNI.ITQMatrix_init_rotation_set(swigCPtr, this, DoubleVector.getCPtr(value), value); + } + + public DoubleVector getInit_rotation() { + long cPtr = swigfaissJNI.ITQMatrix_init_rotation_get(swigCPtr, this); + return (cPtr == 0) ? null : new DoubleVector(cPtr, false); + } + + public ITQMatrix(int d) { + this(swigfaissJNI.new_ITQMatrix__SWIG_0(d), true); + } + + public ITQMatrix() { + this(swigfaissJNI.new_ITQMatrix__SWIG_1(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.ITQMatrix_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ITQTransform.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ITQTransform.java new file mode 100644 index 000000000..42196648d --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ITQTransform.java @@ -0,0 +1,106 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ITQTransform extends VectorTransform { + private transient long swigCPtr; + + protected ITQTransform(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.ITQTransform_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(ITQTransform obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ITQTransform(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setMean(FloatVector value) { + swigfaissJNI.ITQTransform_mean_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getMean() { + long cPtr = swigfaissJNI.ITQTransform_mean_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void setDo_pca(boolean value) { + swigfaissJNI.ITQTransform_do_pca_set(swigCPtr, this, value); + } + + public boolean getDo_pca() { + return swigfaissJNI.ITQTransform_do_pca_get(swigCPtr, this); + } + + public void setItq(ITQMatrix value) { + swigfaissJNI.ITQTransform_itq_set(swigCPtr, this, ITQMatrix.getCPtr(value), value); + } + + public ITQMatrix getItq() { + long cPtr = swigfaissJNI.ITQTransform_itq_get(swigCPtr, this); + return (cPtr == 0) ? null : new ITQMatrix(cPtr, false); + } + + public void setMax_train_per_dim(int value) { + swigfaissJNI.ITQTransform_max_train_per_dim_set(swigCPtr, this, value); + } + + public int getMax_train_per_dim() { + return swigfaissJNI.ITQTransform_max_train_per_dim_get(swigCPtr, this); + } + + public void setPca_then_itq(LinearTransform value) { + swigfaissJNI.ITQTransform_pca_then_itq_set(swigCPtr, this, LinearTransform.getCPtr(value), value); + } + + public LinearTransform getPca_then_itq() { + long cPtr = swigfaissJNI.ITQTransform_pca_then_itq_get(swigCPtr, this); + return (cPtr == 0) ? null : new LinearTransform(cPtr, false); + } + + public ITQTransform(int d_in, int d_out, boolean do_pca) { + this(swigfaissJNI.new_ITQTransform__SWIG_0(d_in, d_out, do_pca), true); + } + + public ITQTransform(int d_in, int d_out) { + this(swigfaissJNI.new_ITQTransform__SWIG_1(d_in, d_out), true); + } + + public ITQTransform(int d_in) { + this(swigfaissJNI.new_ITQTransform__SWIG_2(d_in), true); + } + + public ITQTransform() { + this(swigfaissJNI.new_ITQTransform__SWIG_3(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.ITQTransform_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void apply_noalloc(long n, SWIGTYPE_p_float x, SWIGTYPE_p_float xt) { + swigfaissJNI.ITQTransform_apply_noalloc(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(xt)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IVFPQSearchParameters.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IVFPQSearchParameters.java new file mode 100644 index 000000000..2146f2f56 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IVFPQSearchParameters.java @@ -0,0 +1,59 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IVFPQSearchParameters extends IVFSearchParameters { + private transient long swigCPtr; + + protected IVFPQSearchParameters(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IVFPQSearchParameters_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IVFPQSearchParameters obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IVFPQSearchParameters(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setScan_table_threshold(long value) { + swigfaissJNI.IVFPQSearchParameters_scan_table_threshold_set(swigCPtr, this, value); + } + + public long getScan_table_threshold() { + return swigfaissJNI.IVFPQSearchParameters_scan_table_threshold_get(swigCPtr, this); + } + + public void setPolysemous_ht(int value) { + swigfaissJNI.IVFPQSearchParameters_polysemous_ht_set(swigCPtr, this, value); + } + + public int getPolysemous_ht() { + return swigfaissJNI.IVFPQSearchParameters_polysemous_ht_get(swigCPtr, this); + } + + public IVFPQSearchParameters() { + this(swigfaissJNI.new_IVFPQSearchParameters(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IVFSearchParameters.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IVFSearchParameters.java new file mode 100644 index 000000000..c5c21dfd7 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IVFSearchParameters.java @@ -0,0 +1,59 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IVFSearchParameters { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected IVFSearchParameters(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(IVFSearchParameters obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IVFSearchParameters(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNprobe(long value) { + swigfaissJNI.IVFSearchParameters_nprobe_set(swigCPtr, this, value); + } + + public long getNprobe() { + return swigfaissJNI.IVFSearchParameters_nprobe_get(swigCPtr, this); + } + + public void setMax_codes(long value) { + swigfaissJNI.IVFSearchParameters_max_codes_set(swigCPtr, this, value); + } + + public long getMax_codes() { + return swigfaissJNI.IVFSearchParameters_max_codes_get(swigCPtr, this); + } + + public IVFSearchParameters() { + this(swigfaissJNI.new_IVFSearchParameters(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/Index.java b/ann/src/main/java/com/twitter/ann/faiss/swig/Index.java new file mode 100644 index 000000000..a2f04c194 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/Index.java @@ -0,0 +1,165 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class Index { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected Index(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(Index obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_Index(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setD(int value) { + swigfaissJNI.Index_d_set(swigCPtr, this, value); + } + + public int getD() { + return swigfaissJNI.Index_d_get(swigCPtr, this); + } + + public void setNtotal(long value) { + swigfaissJNI.Index_ntotal_set(swigCPtr, this, value); + } + + public long getNtotal() { + return swigfaissJNI.Index_ntotal_get(swigCPtr, this); +} + + public void setVerbose(boolean value) { + swigfaissJNI.Index_verbose_set(swigCPtr, this, value); + } + + public boolean getVerbose() { + return swigfaissJNI.Index_verbose_get(swigCPtr, this); + } + + public void setIs_trained(boolean value) { + swigfaissJNI.Index_is_trained_set(swigCPtr, this, value); + } + + public boolean getIs_trained() { + return swigfaissJNI.Index_is_trained_get(swigCPtr, this); + } + + public void setMetric_type(MetricType value) { + swigfaissJNI.Index_metric_type_set(swigCPtr, this, value.swigValue()); + } + + public MetricType getMetric_type() { + return MetricType.swigToEnum(swigfaissJNI.Index_metric_type_get(swigCPtr, this)); + } + + public void setMetric_arg(float value) { + swigfaissJNI.Index_metric_arg_set(swigCPtr, this, value); + } + + public float getMetric_arg() { + return swigfaissJNI.Index_metric_arg_get(swigCPtr, this); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.Index_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.Index_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void add_with_ids(long n, SWIGTYPE_p_float x, LongVector xids) { + swigfaissJNI.Index_add_with_ids(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.Index_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void range_search(long n, SWIGTYPE_p_float x, float radius, RangeSearchResult result) { + swigfaissJNI.Index_range_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result); + } + + public void assign(long n, SWIGTYPE_p_float x, LongVector labels, long k) { + swigfaissJNI.Index_assign__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, k); + } + + public void assign(long n, SWIGTYPE_p_float x, LongVector labels) { + swigfaissJNI.Index_assign__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void reset() { + swigfaissJNI.Index_reset(swigCPtr, this); + } + + public long remove_ids(IDSelector sel) { + return swigfaissJNI.Index_remove_ids(swigCPtr, this, IDSelector.getCPtr(sel), sel); + } + + public void reconstruct(long key, SWIGTYPE_p_float recons) { + swigfaissJNI.Index_reconstruct(swigCPtr, this, key, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void reconstruct_n(long i0, long ni, SWIGTYPE_p_float recons) { + swigfaissJNI.Index_reconstruct_n(swigCPtr, this, i0, ni, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void search_and_reconstruct(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels, SWIGTYPE_p_float recons) { + swigfaissJNI.Index_search_and_reconstruct(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void compute_residual(SWIGTYPE_p_float x, SWIGTYPE_p_float residual, long key) { + swigfaissJNI.Index_compute_residual(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(residual), key); + } + + public void compute_residual_n(long n, SWIGTYPE_p_float xs, SWIGTYPE_p_float residuals, LongVector keys) { + swigfaissJNI.Index_compute_residual_n(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(xs), SWIGTYPE_p_float.getCPtr(residuals), SWIGTYPE_p_long_long.getCPtr(keys.data()), keys); + } + + public DistanceComputer get_distance_computer() { + long cPtr = swigfaissJNI.Index_get_distance_computer(swigCPtr, this); + return (cPtr == 0) ? null : new DistanceComputer(cPtr, false); + } + + public long sa_code_size() { + return swigfaissJNI.Index_sa_code_size(swigCPtr, this); + } + + public void sa_encode(long n, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char bytes) { + swigfaissJNI.Index_sa_encode(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(bytes)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.Index_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + + public IndexIVF toIVF() { + long cPtr = swigfaissJNI.Index_toIVF(swigCPtr, this); + return (cPtr == 0) ? null : new IndexIVF(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/Index2Layer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/Index2Layer.java new file mode 100644 index 000000000..6045797ad --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/Index2Layer.java @@ -0,0 +1,114 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class Index2Layer extends IndexFlatCodes { + private transient long swigCPtr; + + protected Index2Layer(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.Index2Layer_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(Index2Layer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_Index2Layer(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setQ1(Level1Quantizer value) { + swigfaissJNI.Index2Layer_q1_set(swigCPtr, this, Level1Quantizer.getCPtr(value), value); + } + + public Level1Quantizer getQ1() { + long cPtr = swigfaissJNI.Index2Layer_q1_get(swigCPtr, this); + return (cPtr == 0) ? null : new Level1Quantizer(cPtr, false); + } + + public void setPq(ProductQuantizer value) { + swigfaissJNI.Index2Layer_pq_set(swigCPtr, this, ProductQuantizer.getCPtr(value), value); + } + + public ProductQuantizer getPq() { + long cPtr = swigfaissJNI.Index2Layer_pq_get(swigCPtr, this); + return (cPtr == 0) ? null : new ProductQuantizer(cPtr, false); + } + + public void setCode_size_1(long value) { + swigfaissJNI.Index2Layer_code_size_1_set(swigCPtr, this, value); + } + + public long getCode_size_1() { + return swigfaissJNI.Index2Layer_code_size_1_get(swigCPtr, this); + } + + public void setCode_size_2(long value) { + swigfaissJNI.Index2Layer_code_size_2_set(swigCPtr, this, value); + } + + public long getCode_size_2() { + return swigfaissJNI.Index2Layer_code_size_2_get(swigCPtr, this); + } + + public Index2Layer(Index quantizer, long nlist, int M, int nbit, MetricType metric) { + this(swigfaissJNI.new_Index2Layer__SWIG_0(Index.getCPtr(quantizer), quantizer, nlist, M, nbit, metric.swigValue()), true); + } + + public Index2Layer(Index quantizer, long nlist, int M, int nbit) { + this(swigfaissJNI.new_Index2Layer__SWIG_1(Index.getCPtr(quantizer), quantizer, nlist, M, nbit), true); + } + + public Index2Layer(Index quantizer, long nlist, int M) { + this(swigfaissJNI.new_Index2Layer__SWIG_2(Index.getCPtr(quantizer), quantizer, nlist, M), true); + } + + public Index2Layer() { + this(swigfaissJNI.new_Index2Layer__SWIG_3(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.Index2Layer_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.Index2Layer_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public DistanceComputer get_distance_computer() { + long cPtr = swigfaissJNI.Index2Layer_get_distance_computer(swigCPtr, this); + return (cPtr == 0) ? null : new DistanceComputer(cPtr, false); + } + + public void transfer_to_IVFPQ(IndexIVFPQ other) { + swigfaissJNI.Index2Layer_transfer_to_IVFPQ(swigCPtr, this, IndexIVFPQ.getCPtr(other), other); + } + + public void sa_encode(long n, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char bytes) { + swigfaissJNI.Index2Layer_sa_encode(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(bytes)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.Index2Layer_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinary.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinary.java new file mode 100644 index 000000000..c60ea69ab --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinary.java @@ -0,0 +1,139 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexBinary { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected IndexBinary(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexBinary obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexBinary(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setD(int value) { + swigfaissJNI.IndexBinary_d_set(swigCPtr, this, value); + } + + public int getD() { + return swigfaissJNI.IndexBinary_d_get(swigCPtr, this); + } + + public void setCode_size(int value) { + swigfaissJNI.IndexBinary_code_size_set(swigCPtr, this, value); + } + + public int getCode_size() { + return swigfaissJNI.IndexBinary_code_size_get(swigCPtr, this); + } + + public void setNtotal(long value) { + swigfaissJNI.IndexBinary_ntotal_set(swigCPtr, this, value); + } + + public long getNtotal() { + return swigfaissJNI.IndexBinary_ntotal_get(swigCPtr, this); +} + + public void setVerbose(boolean value) { + swigfaissJNI.IndexBinary_verbose_set(swigCPtr, this, value); + } + + public boolean getVerbose() { + return swigfaissJNI.IndexBinary_verbose_get(swigCPtr, this); + } + + public void setIs_trained(boolean value) { + swigfaissJNI.IndexBinary_is_trained_set(swigCPtr, this, value); + } + + public boolean getIs_trained() { + return swigfaissJNI.IndexBinary_is_trained_get(swigCPtr, this); + } + + public void setMetric_type(MetricType value) { + swigfaissJNI.IndexBinary_metric_type_set(swigCPtr, this, value.swigValue()); + } + + public MetricType getMetric_type() { + return MetricType.swigToEnum(swigfaissJNI.IndexBinary_metric_type_get(swigCPtr, this)); + } + + public void train(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinary_train(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + + public void add(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinary_add(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + + public void add_with_ids(long n, SWIGTYPE_p_unsigned_char x, LongVector xids) { + swigfaissJNI.IndexBinary_add_with_ids(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids); + } + + public void search(long n, SWIGTYPE_p_unsigned_char x, long k, SWIGTYPE_p_int distances, LongVector labels) { + swigfaissJNI.IndexBinary_search(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void range_search(long n, SWIGTYPE_p_unsigned_char x, int radius, RangeSearchResult result) { + swigfaissJNI.IndexBinary_range_search(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result); + } + + public void assign(long n, SWIGTYPE_p_unsigned_char x, LongVector labels, long k) { + swigfaissJNI.IndexBinary_assign__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, k); + } + + public void assign(long n, SWIGTYPE_p_unsigned_char x, LongVector labels) { + swigfaissJNI.IndexBinary_assign__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void reset() { + swigfaissJNI.IndexBinary_reset(swigCPtr, this); + } + + public long remove_ids(IDSelector sel) { + return swigfaissJNI.IndexBinary_remove_ids(swigCPtr, this, IDSelector.getCPtr(sel), sel); + } + + public void reconstruct(long key, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinary_reconstruct(swigCPtr, this, key, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public void reconstruct_n(long i0, long ni, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinary_reconstruct_n(swigCPtr, this, i0, ni, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public void search_and_reconstruct(long n, SWIGTYPE_p_unsigned_char x, long k, SWIGTYPE_p_int distances, LongVector labels, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinary_search_and_reconstruct(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public void display() { + swigfaissJNI.IndexBinary_display(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryFlat.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryFlat.java new file mode 100644 index 000000000..84be3becd --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryFlat.java @@ -0,0 +1,96 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexBinaryFlat extends IndexBinary { + private transient long swigCPtr; + + protected IndexBinaryFlat(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexBinaryFlat_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexBinaryFlat obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexBinaryFlat(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setXb(ByteVector value) { + swigfaissJNI.IndexBinaryFlat_xb_set(swigCPtr, this, ByteVector.getCPtr(value), value); + } + + public ByteVector getXb() { + long cPtr = swigfaissJNI.IndexBinaryFlat_xb_get(swigCPtr, this); + return (cPtr == 0) ? null : new ByteVector(cPtr, false); + } + + public void setUse_heap(boolean value) { + swigfaissJNI.IndexBinaryFlat_use_heap_set(swigCPtr, this, value); + } + + public boolean getUse_heap() { + return swigfaissJNI.IndexBinaryFlat_use_heap_get(swigCPtr, this); + } + + public void setQuery_batch_size(long value) { + swigfaissJNI.IndexBinaryFlat_query_batch_size_set(swigCPtr, this, value); + } + + public long getQuery_batch_size() { + return swigfaissJNI.IndexBinaryFlat_query_batch_size_get(swigCPtr, this); + } + + public IndexBinaryFlat(long d) { + this(swigfaissJNI.new_IndexBinaryFlat__SWIG_0(d), true); + } + + public void add(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinaryFlat_add(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + + public void reset() { + swigfaissJNI.IndexBinaryFlat_reset(swigCPtr, this); + } + + public void search(long n, SWIGTYPE_p_unsigned_char x, long k, SWIGTYPE_p_int distances, LongVector labels) { + swigfaissJNI.IndexBinaryFlat_search(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void range_search(long n, SWIGTYPE_p_unsigned_char x, int radius, RangeSearchResult result) { + swigfaissJNI.IndexBinaryFlat_range_search(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result); + } + + public void reconstruct(long key, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinaryFlat_reconstruct(swigCPtr, this, key, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public long remove_ids(IDSelector sel) { + return swigfaissJNI.IndexBinaryFlat_remove_ids(swigCPtr, this, IDSelector.getCPtr(sel), sel); + } + + public IndexBinaryFlat() { + this(swigfaissJNI.new_IndexBinaryFlat__SWIG_1(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryFromFloat.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryFromFloat.java new file mode 100644 index 000000000..c55ac683b --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryFromFloat.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexBinaryFromFloat extends IndexBinary { + private transient long swigCPtr; + + protected IndexBinaryFromFloat(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexBinaryFromFloat_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexBinaryFromFloat obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexBinaryFromFloat(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setIndex(Index value) { + swigfaissJNI.IndexBinaryFromFloat_index_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getIndex() { + long cPtr = swigfaissJNI.IndexBinaryFromFloat_index_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.IndexBinaryFromFloat_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.IndexBinaryFromFloat_own_fields_get(swigCPtr, this); + } + + public IndexBinaryFromFloat() { + this(swigfaissJNI.new_IndexBinaryFromFloat__SWIG_0(), true); + } + + public IndexBinaryFromFloat(Index index) { + this(swigfaissJNI.new_IndexBinaryFromFloat__SWIG_1(Index.getCPtr(index), index), true); + } + + public void add(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinaryFromFloat_add(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + + public void reset() { + swigfaissJNI.IndexBinaryFromFloat_reset(swigCPtr, this); + } + + public void search(long n, SWIGTYPE_p_unsigned_char x, long k, SWIGTYPE_p_int distances, LongVector labels) { + swigfaissJNI.IndexBinaryFromFloat_search(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void train(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinaryFromFloat_train(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryHNSW.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryHNSW.java new file mode 100644 index 000000000..f10306136 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryHNSW.java @@ -0,0 +1,110 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexBinaryHNSW extends IndexBinary { + private transient long swigCPtr; + + protected IndexBinaryHNSW(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexBinaryHNSW_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexBinaryHNSW obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexBinaryHNSW(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setHnsw(HNSW value) { + swigfaissJNI.IndexBinaryHNSW_hnsw_set(swigCPtr, this, HNSW.getCPtr(value), value); + } + + public HNSW getHnsw() { + long cPtr = swigfaissJNI.IndexBinaryHNSW_hnsw_get(swigCPtr, this); + return (cPtr == 0) ? null : new HNSW(cPtr, false); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.IndexBinaryHNSW_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.IndexBinaryHNSW_own_fields_get(swigCPtr, this); + } + + public void setStorage(IndexBinary value) { + swigfaissJNI.IndexBinaryHNSW_storage_set(swigCPtr, this, IndexBinary.getCPtr(value), value); + } + + public IndexBinary getStorage() { + long cPtr = swigfaissJNI.IndexBinaryHNSW_storage_get(swigCPtr, this); + return (cPtr == 0) ? null : new IndexBinary(cPtr, false); + } + + public IndexBinaryHNSW() { + this(swigfaissJNI.new_IndexBinaryHNSW__SWIG_0(), true); + } + + public IndexBinaryHNSW(int d, int M) { + this(swigfaissJNI.new_IndexBinaryHNSW__SWIG_1(d, M), true); + } + + public IndexBinaryHNSW(int d) { + this(swigfaissJNI.new_IndexBinaryHNSW__SWIG_2(d), true); + } + + public IndexBinaryHNSW(IndexBinary storage, int M) { + this(swigfaissJNI.new_IndexBinaryHNSW__SWIG_3(IndexBinary.getCPtr(storage), storage, M), true); + } + + public IndexBinaryHNSW(IndexBinary storage) { + this(swigfaissJNI.new_IndexBinaryHNSW__SWIG_4(IndexBinary.getCPtr(storage), storage), true); + } + + public DistanceComputer get_distance_computer() { + long cPtr = swigfaissJNI.IndexBinaryHNSW_get_distance_computer(swigCPtr, this); + return (cPtr == 0) ? null : new DistanceComputer(cPtr, false); + } + + public void add(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinaryHNSW_add(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + + public void train(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinaryHNSW_train(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_unsigned_char x, long k, SWIGTYPE_p_int distances, LongVector labels) { + swigfaissJNI.IndexBinaryHNSW_search(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void reconstruct(long key, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinaryHNSW_reconstruct(swigCPtr, this, key, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public void reset() { + swigfaissJNI.IndexBinaryHNSW_reset(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryIVF.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryIVF.java new file mode 100644 index 000000000..0da7053a4 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexBinaryIVF.java @@ -0,0 +1,237 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexBinaryIVF extends IndexBinary { + private transient long swigCPtr; + + protected IndexBinaryIVF(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexBinaryIVF_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexBinaryIVF obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexBinaryIVF(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setInvlists(InvertedLists value) { + swigfaissJNI.IndexBinaryIVF_invlists_set(swigCPtr, this, InvertedLists.getCPtr(value), value); + } + + public InvertedLists getInvlists() { + long cPtr = swigfaissJNI.IndexBinaryIVF_invlists_get(swigCPtr, this); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public void setOwn_invlists(boolean value) { + swigfaissJNI.IndexBinaryIVF_own_invlists_set(swigCPtr, this, value); + } + + public boolean getOwn_invlists() { + return swigfaissJNI.IndexBinaryIVF_own_invlists_get(swigCPtr, this); + } + + public void setNprobe(long value) { + swigfaissJNI.IndexBinaryIVF_nprobe_set(swigCPtr, this, value); + } + + public long getNprobe() { + return swigfaissJNI.IndexBinaryIVF_nprobe_get(swigCPtr, this); + } + + public void setMax_codes(long value) { + swigfaissJNI.IndexBinaryIVF_max_codes_set(swigCPtr, this, value); + } + + public long getMax_codes() { + return swigfaissJNI.IndexBinaryIVF_max_codes_get(swigCPtr, this); + } + + public void setUse_heap(boolean value) { + swigfaissJNI.IndexBinaryIVF_use_heap_set(swigCPtr, this, value); + } + + public boolean getUse_heap() { + return swigfaissJNI.IndexBinaryIVF_use_heap_get(swigCPtr, this); + } + + public void setDirect_map(SWIGTYPE_p_DirectMap value) { + swigfaissJNI.IndexBinaryIVF_direct_map_set(swigCPtr, this, SWIGTYPE_p_DirectMap.getCPtr(value)); + } + + public SWIGTYPE_p_DirectMap getDirect_map() { + return new SWIGTYPE_p_DirectMap(swigfaissJNI.IndexBinaryIVF_direct_map_get(swigCPtr, this), true); + } + + public void setQuantizer(IndexBinary value) { + swigfaissJNI.IndexBinaryIVF_quantizer_set(swigCPtr, this, IndexBinary.getCPtr(value), value); + } + + public IndexBinary getQuantizer() { + long cPtr = swigfaissJNI.IndexBinaryIVF_quantizer_get(swigCPtr, this); + return (cPtr == 0) ? null : new IndexBinary(cPtr, false); + } + + public void setNlist(long value) { + swigfaissJNI.IndexBinaryIVF_nlist_set(swigCPtr, this, value); + } + + public long getNlist() { + return swigfaissJNI.IndexBinaryIVF_nlist_get(swigCPtr, this); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.IndexBinaryIVF_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.IndexBinaryIVF_own_fields_get(swigCPtr, this); + } + + public void setCp(ClusteringParameters value) { + swigfaissJNI.IndexBinaryIVF_cp_set(swigCPtr, this, ClusteringParameters.getCPtr(value), value); + } + + public ClusteringParameters getCp() { + long cPtr = swigfaissJNI.IndexBinaryIVF_cp_get(swigCPtr, this); + return (cPtr == 0) ? null : new ClusteringParameters(cPtr, false); + } + + public void setClustering_index(Index value) { + swigfaissJNI.IndexBinaryIVF_clustering_index_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getClustering_index() { + long cPtr = swigfaissJNI.IndexBinaryIVF_clustering_index_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public IndexBinaryIVF(IndexBinary quantizer, long d, long nlist) { + this(swigfaissJNI.new_IndexBinaryIVF__SWIG_0(IndexBinary.getCPtr(quantizer), quantizer, d, nlist), true); + } + + public IndexBinaryIVF() { + this(swigfaissJNI.new_IndexBinaryIVF__SWIG_1(), true); + } + + public void reset() { + swigfaissJNI.IndexBinaryIVF_reset(swigCPtr, this); + } + + public void train(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinaryIVF_train(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + + public void add(long n, SWIGTYPE_p_unsigned_char x) { + swigfaissJNI.IndexBinaryIVF_add(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x)); + } + + public void add_with_ids(long n, SWIGTYPE_p_unsigned_char x, LongVector xids) { + swigfaissJNI.IndexBinaryIVF_add_with_ids(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids); + } + + public void add_core(long n, SWIGTYPE_p_unsigned_char x, LongVector xids, LongVector precomputed_idx) { + swigfaissJNI.IndexBinaryIVF_add_core(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids, SWIGTYPE_p_long_long.getCPtr(precomputed_idx.data()), precomputed_idx); + } + + public void search_preassigned(long n, SWIGTYPE_p_unsigned_char x, long k, LongVector assign, SWIGTYPE_p_int centroid_dis, SWIGTYPE_p_int distances, LongVector labels, boolean store_pairs, IVFSearchParameters params) { + swigfaissJNI.IndexBinaryIVF_search_preassigned__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_int.getCPtr(centroid_dis), SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, store_pairs, IVFSearchParameters.getCPtr(params), params); + } + + public void search_preassigned(long n, SWIGTYPE_p_unsigned_char x, long k, LongVector assign, SWIGTYPE_p_int centroid_dis, SWIGTYPE_p_int distances, LongVector labels, boolean store_pairs) { + swigfaissJNI.IndexBinaryIVF_search_preassigned__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_int.getCPtr(centroid_dis), SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, store_pairs); + } + + public SWIGTYPE_p_faiss__BinaryInvertedListScanner get_InvertedListScanner(boolean store_pairs) { + long cPtr = swigfaissJNI.IndexBinaryIVF_get_InvertedListScanner__SWIG_0(swigCPtr, this, store_pairs); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__BinaryInvertedListScanner(cPtr, false); + } + + public SWIGTYPE_p_faiss__BinaryInvertedListScanner get_InvertedListScanner() { + long cPtr = swigfaissJNI.IndexBinaryIVF_get_InvertedListScanner__SWIG_1(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__BinaryInvertedListScanner(cPtr, false); + } + + public void search(long n, SWIGTYPE_p_unsigned_char x, long k, SWIGTYPE_p_int distances, LongVector labels) { + swigfaissJNI.IndexBinaryIVF_search(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void range_search(long n, SWIGTYPE_p_unsigned_char x, int radius, RangeSearchResult result) { + swigfaissJNI.IndexBinaryIVF_range_search(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result); + } + + public void range_search_preassigned(long n, SWIGTYPE_p_unsigned_char x, int radius, LongVector assign, SWIGTYPE_p_int centroid_dis, RangeSearchResult result) { + swigfaissJNI.IndexBinaryIVF_range_search_preassigned(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), radius, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_int.getCPtr(centroid_dis), RangeSearchResult.getCPtr(result), result); + } + + public void reconstruct(long key, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinaryIVF_reconstruct(swigCPtr, this, key, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public void reconstruct_n(long i0, long ni, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinaryIVF_reconstruct_n(swigCPtr, this, i0, ni, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public void search_and_reconstruct(long n, SWIGTYPE_p_unsigned_char x, long k, SWIGTYPE_p_int distances, LongVector labels, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinaryIVF_search_and_reconstruct(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public void reconstruct_from_offset(long list_no, long offset, SWIGTYPE_p_unsigned_char recons) { + swigfaissJNI.IndexBinaryIVF_reconstruct_from_offset(swigCPtr, this, list_no, offset, SWIGTYPE_p_unsigned_char.getCPtr(recons)); + } + + public long remove_ids(IDSelector sel) { + return swigfaissJNI.IndexBinaryIVF_remove_ids(swigCPtr, this, IDSelector.getCPtr(sel), sel); + } + + public void merge_from(IndexBinaryIVF other, long add_id) { + swigfaissJNI.IndexBinaryIVF_merge_from(swigCPtr, this, IndexBinaryIVF.getCPtr(other), other, add_id); + } + + public long get_list_size(long list_no) { + return swigfaissJNI.IndexBinaryIVF_get_list_size(swigCPtr, this, list_no); + } + + public void make_direct_map(boolean new_maintain_direct_map) { + swigfaissJNI.IndexBinaryIVF_make_direct_map__SWIG_0(swigCPtr, this, new_maintain_direct_map); + } + + public void make_direct_map() { + swigfaissJNI.IndexBinaryIVF_make_direct_map__SWIG_1(swigCPtr, this); + } + + public void set_direct_map_type(SWIGTYPE_p_DirectMap__Type type) { + swigfaissJNI.IndexBinaryIVF_set_direct_map_type(swigCPtr, this, SWIGTYPE_p_DirectMap__Type.getCPtr(type)); + } + + public void replace_invlists(InvertedLists il, boolean own) { + swigfaissJNI.IndexBinaryIVF_replace_invlists__SWIG_0(swigCPtr, this, InvertedLists.getCPtr(il), il, own); + } + + public void replace_invlists(InvertedLists il) { + swigfaissJNI.IndexBinaryIVF_replace_invlists__SWIG_1(swigCPtr, this, InvertedLists.getCPtr(il), il); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlat.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlat.java new file mode 100644 index 000000000..2408455f2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlat.java @@ -0,0 +1,85 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexFlat extends IndexFlatCodes { + private transient long swigCPtr; + + protected IndexFlat(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexFlat_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexFlat obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexFlat(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexFlat(long d, MetricType metric) { + this(swigfaissJNI.new_IndexFlat__SWIG_0(d, metric.swigValue()), true); + } + + public IndexFlat(long d) { + this(swigfaissJNI.new_IndexFlat__SWIG_1(d), true); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexFlat_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void range_search(long n, SWIGTYPE_p_float x, float radius, RangeSearchResult result) { + swigfaissJNI.IndexFlat_range_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result); + } + + public void reconstruct(long key, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexFlat_reconstruct(swigCPtr, this, key, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void compute_distance_subset(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexFlat_compute_distance_subset(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public SWIGTYPE_p_float get_xb() { + long cPtr = swigfaissJNI.IndexFlat_get_xb__SWIG_0(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public IndexFlat() { + this(swigfaissJNI.new_IndexFlat__SWIG_2(), true); + } + + public DistanceComputer get_distance_computer() { + long cPtr = swigfaissJNI.IndexFlat_get_distance_computer(swigCPtr, this); + return (cPtr == 0) ? null : new DistanceComputer(cPtr, false); + } + + public void sa_encode(long n, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char bytes) { + swigfaissJNI.IndexFlat_sa_encode(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(bytes)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexFlat_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlat1D.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlat1D.java new file mode 100644 index 000000000..8104181b4 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlat1D.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexFlat1D extends IndexFlatL2 { + private transient long swigCPtr; + + protected IndexFlat1D(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexFlat1D_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexFlat1D obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexFlat1D(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setContinuous_update(boolean value) { + swigfaissJNI.IndexFlat1D_continuous_update_set(swigCPtr, this, value); + } + + public boolean getContinuous_update() { + return swigfaissJNI.IndexFlat1D_continuous_update_get(swigCPtr, this); + } + + public void setPerm(SWIGTYPE_p_std__vectorT_int64_t_t value) { + swigfaissJNI.IndexFlat1D_perm_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_int64_t_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_int64_t_t getPerm() { + long cPtr = swigfaissJNI.IndexFlat1D_perm_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_int64_t_t(cPtr, false); + } + + public IndexFlat1D(boolean continuous_update) { + this(swigfaissJNI.new_IndexFlat1D__SWIG_0(continuous_update), true); + } + + public IndexFlat1D() { + this(swigfaissJNI.new_IndexFlat1D__SWIG_1(), true); + } + + public void update_permutation() { + swigfaissJNI.IndexFlat1D_update_permutation(swigCPtr, this); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexFlat1D_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void reset() { + swigfaissJNI.IndexFlat1D_reset(swigCPtr, this); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexFlat1D_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatCodes.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatCodes.java new file mode 100644 index 000000000..62448b542 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatCodes.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexFlatCodes extends Index { + private transient long swigCPtr; + + protected IndexFlatCodes(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexFlatCodes_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexFlatCodes obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexFlatCodes(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setCode_size(long value) { + swigfaissJNI.IndexFlatCodes_code_size_set(swigCPtr, this, value); + } + + public long getCode_size() { + return swigfaissJNI.IndexFlatCodes_code_size_get(swigCPtr, this); + } + + public void setCodes(ByteVector value) { + swigfaissJNI.IndexFlatCodes_codes_set(swigCPtr, this, ByteVector.getCPtr(value), value); + } + + public ByteVector getCodes() { + long cPtr = swigfaissJNI.IndexFlatCodes_codes_get(swigCPtr, this); + return (cPtr == 0) ? null : new ByteVector(cPtr, false); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexFlatCodes_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void reset() { + swigfaissJNI.IndexFlatCodes_reset(swigCPtr, this); + } + + public void reconstruct_n(long i0, long ni, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexFlatCodes_reconstruct_n(swigCPtr, this, i0, ni, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void reconstruct(long key, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexFlatCodes_reconstruct(swigCPtr, this, key, SWIGTYPE_p_float.getCPtr(recons)); + } + + public long sa_code_size() { + return swigfaissJNI.IndexFlatCodes_sa_code_size(swigCPtr, this); + } + + public long remove_ids(IDSelector sel) { + return swigfaissJNI.IndexFlatCodes_remove_ids(swigCPtr, this, IDSelector.getCPtr(sel), sel); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatIP.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatIP.java new file mode 100644 index 000000000..d1cb9c9ff --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatIP.java @@ -0,0 +1,47 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexFlatIP extends IndexFlat { + private transient long swigCPtr; + + protected IndexFlatIP(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexFlatIP_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexFlatIP obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexFlatIP(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexFlatIP(long d) { + this(swigfaissJNI.new_IndexFlatIP__SWIG_0(d), true); + } + + public IndexFlatIP() { + this(swigfaissJNI.new_IndexFlatIP__SWIG_1(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatL2.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatL2.java new file mode 100644 index 000000000..9bd6ae092 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexFlatL2.java @@ -0,0 +1,47 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexFlatL2 extends IndexFlat { + private transient long swigCPtr; + + protected IndexFlatL2(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexFlatL2_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexFlatL2 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexFlatL2(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexFlatL2(long d) { + this(swigfaissJNI.new_IndexFlatL2__SWIG_0(d), true); + } + + public IndexFlatL2() { + this(swigfaissJNI.new_IndexFlatL2__SWIG_1(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSW.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSW.java new file mode 100644 index 000000000..b5be7d13c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSW.java @@ -0,0 +1,150 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexHNSW extends Index { + private transient long swigCPtr; + + protected IndexHNSW(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexHNSW_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexHNSW obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexHNSW(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setHnsw(HNSW value) { + swigfaissJNI.IndexHNSW_hnsw_set(swigCPtr, this, HNSW.getCPtr(value), value); + } + + public HNSW getHnsw() { + long cPtr = swigfaissJNI.IndexHNSW_hnsw_get(swigCPtr, this); + return (cPtr == 0) ? null : new HNSW(cPtr, false); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.IndexHNSW_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.IndexHNSW_own_fields_get(swigCPtr, this); + } + + public void setStorage(Index value) { + swigfaissJNI.IndexHNSW_storage_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getStorage() { + long cPtr = swigfaissJNI.IndexHNSW_storage_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void setReconstruct_from_neighbors(ReconstructFromNeighbors value) { + swigfaissJNI.IndexHNSW_reconstruct_from_neighbors_set(swigCPtr, this, ReconstructFromNeighbors.getCPtr(value), value); + } + + public ReconstructFromNeighbors getReconstruct_from_neighbors() { + long cPtr = swigfaissJNI.IndexHNSW_reconstruct_from_neighbors_get(swigCPtr, this); + return (cPtr == 0) ? null : new ReconstructFromNeighbors(cPtr, false); + } + + public IndexHNSW(int d, int M, MetricType metric) { + this(swigfaissJNI.new_IndexHNSW__SWIG_0(d, M, metric.swigValue()), true); + } + + public IndexHNSW(int d, int M) { + this(swigfaissJNI.new_IndexHNSW__SWIG_1(d, M), true); + } + + public IndexHNSW(int d) { + this(swigfaissJNI.new_IndexHNSW__SWIG_2(d), true); + } + + public IndexHNSW() { + this(swigfaissJNI.new_IndexHNSW__SWIG_3(), true); + } + + public IndexHNSW(Index storage, int M) { + this(swigfaissJNI.new_IndexHNSW__SWIG_4(Index.getCPtr(storage), storage, M), true); + } + + public IndexHNSW(Index storage) { + this(swigfaissJNI.new_IndexHNSW__SWIG_5(Index.getCPtr(storage), storage), true); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexHNSW_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexHNSW_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexHNSW_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void reconstruct(long key, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexHNSW_reconstruct(swigCPtr, this, key, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void reset() { + swigfaissJNI.IndexHNSW_reset(swigCPtr, this); + } + + public void shrink_level_0_neighbors(int size) { + swigfaissJNI.IndexHNSW_shrink_level_0_neighbors(swigCPtr, this, size); + } + + public void search_level_0(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_int nearest, SWIGTYPE_p_float nearest_d, SWIGTYPE_p_float distances, LongVector labels, int nprobe, int search_type) { + swigfaissJNI.IndexHNSW_search_level_0__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(nearest), SWIGTYPE_p_float.getCPtr(nearest_d), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, nprobe, search_type); + } + + public void search_level_0(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_int nearest, SWIGTYPE_p_float nearest_d, SWIGTYPE_p_float distances, LongVector labels, int nprobe) { + swigfaissJNI.IndexHNSW_search_level_0__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(nearest), SWIGTYPE_p_float.getCPtr(nearest_d), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, nprobe); + } + + public void search_level_0(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_int nearest, SWIGTYPE_p_float nearest_d, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexHNSW_search_level_0__SWIG_2(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_int.getCPtr(nearest), SWIGTYPE_p_float.getCPtr(nearest_d), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void init_level_0_from_knngraph(int k, SWIGTYPE_p_float D, LongVector I) { + swigfaissJNI.IndexHNSW_init_level_0_from_knngraph(swigCPtr, this, k, SWIGTYPE_p_float.getCPtr(D), SWIGTYPE_p_long_long.getCPtr(I.data()), I); + } + + public void init_level_0_from_entry_points(int npt, SWIGTYPE_p_int points, SWIGTYPE_p_int nearests) { + swigfaissJNI.IndexHNSW_init_level_0_from_entry_points(swigCPtr, this, npt, SWIGTYPE_p_int.getCPtr(points), SWIGTYPE_p_int.getCPtr(nearests)); + } + + public void reorder_links() { + swigfaissJNI.IndexHNSW_reorder_links(swigCPtr, this); + } + + public void link_singletons() { + swigfaissJNI.IndexHNSW_link_singletons(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSW2Level.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSW2Level.java new file mode 100644 index 000000000..9f1544ca1 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSW2Level.java @@ -0,0 +1,55 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexHNSW2Level extends IndexHNSW { + private transient long swigCPtr; + + protected IndexHNSW2Level(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexHNSW2Level_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexHNSW2Level obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexHNSW2Level(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexHNSW2Level() { + this(swigfaissJNI.new_IndexHNSW2Level__SWIG_0(), true); + } + + public IndexHNSW2Level(Index quantizer, long nlist, int m_pq, int M) { + this(swigfaissJNI.new_IndexHNSW2Level__SWIG_1(Index.getCPtr(quantizer), quantizer, nlist, m_pq, M), true); + } + + public void flip_to_ivf() { + swigfaissJNI.IndexHNSW2Level_flip_to_ivf(swigCPtr, this); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexHNSW2Level_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWFlat.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWFlat.java new file mode 100644 index 000000000..c632b4fb6 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWFlat.java @@ -0,0 +1,51 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexHNSWFlat extends IndexHNSW { + private transient long swigCPtr; + + protected IndexHNSWFlat(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexHNSWFlat_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexHNSWFlat obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexHNSWFlat(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexHNSWFlat() { + this(swigfaissJNI.new_IndexHNSWFlat__SWIG_0(), true); + } + + public IndexHNSWFlat(int d, int M, MetricType metric) { + this(swigfaissJNI.new_IndexHNSWFlat__SWIG_1(d, M, metric.swigValue()), true); + } + + public IndexHNSWFlat(int d, int M) { + this(swigfaissJNI.new_IndexHNSWFlat__SWIG_2(d, M), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWPQ.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWPQ.java new file mode 100644 index 000000000..cc761d9c8 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWPQ.java @@ -0,0 +1,51 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexHNSWPQ extends IndexHNSW { + private transient long swigCPtr; + + protected IndexHNSWPQ(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexHNSWPQ_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexHNSWPQ obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexHNSWPQ(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexHNSWPQ() { + this(swigfaissJNI.new_IndexHNSWPQ__SWIG_0(), true); + } + + public IndexHNSWPQ(int d, int pq_m, int M) { + this(swigfaissJNI.new_IndexHNSWPQ__SWIG_1(d, pq_m, M), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexHNSWPQ_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWSQ.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWSQ.java new file mode 100644 index 000000000..ee08aa9bb --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexHNSWSQ.java @@ -0,0 +1,51 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexHNSWSQ extends IndexHNSW { + private transient long swigCPtr; + + protected IndexHNSWSQ(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexHNSWSQ_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexHNSWSQ obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexHNSWSQ(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexHNSWSQ() { + this(swigfaissJNI.new_IndexHNSWSQ__SWIG_0(), true); + } + + public IndexHNSWSQ(int d, SWIGTYPE_p_ScalarQuantizer__QuantizerType qtype, int M, MetricType metric) { + this(swigfaissJNI.new_IndexHNSWSQ__SWIG_1(d, SWIGTYPE_p_ScalarQuantizer__QuantizerType.getCPtr(qtype), M, metric.swigValue()), true); + } + + public IndexHNSWSQ(int d, SWIGTYPE_p_ScalarQuantizer__QuantizerType qtype, int M) { + this(swigfaissJNI.new_IndexHNSWSQ__SWIG_2(d, SWIGTYPE_p_ScalarQuantizer__QuantizerType.getCPtr(qtype), M), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIDMap.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIDMap.java new file mode 100644 index 000000000..72c5574f9 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIDMap.java @@ -0,0 +1,101 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexIDMap extends Index { + private transient long swigCPtr; + + protected IndexIDMap(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexIDMap_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexIDMap obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexIDMap(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setIndex(Index value) { + swigfaissJNI.IndexIDMap_index_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getIndex() { + long cPtr = swigfaissJNI.IndexIDMap_index_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.IndexIDMap_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.IndexIDMap_own_fields_get(swigCPtr, this); + } + + public void setId_map(SWIGTYPE_p_std__vectorT_int64_t_t value) { + swigfaissJNI.IndexIDMap_id_map_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_int64_t_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_int64_t_t getId_map() { + long cPtr = swigfaissJNI.IndexIDMap_id_map_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_int64_t_t(cPtr, false); + } + + public IndexIDMap(Index index) { + this(swigfaissJNI.new_IndexIDMap__SWIG_0(Index.getCPtr(index), index), true); + } + + public void add_with_ids(long n, SWIGTYPE_p_float x, LongVector xids) { + swigfaissJNI.IndexIDMap_add_with_ids(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIDMap_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexIDMap_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIDMap_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void reset() { + swigfaissJNI.IndexIDMap_reset(swigCPtr, this); + } + + public long remove_ids(IDSelector sel) { + return swigfaissJNI.IndexIDMap_remove_ids(swigCPtr, this, IDSelector.getCPtr(sel), sel); + } + + public void range_search(long n, SWIGTYPE_p_float x, float radius, RangeSearchResult result) { + swigfaissJNI.IndexIDMap_range_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result); + } + + public IndexIDMap() { + this(swigfaissJNI.new_IndexIDMap__SWIG_1(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVF.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVF.java new file mode 100644 index 000000000..04c22067a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVF.java @@ -0,0 +1,250 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexIVF extends Index { + private transient long swigCPtr; + + protected IndexIVF(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexIVF_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexIVF obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexIVF(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setInvlists(InvertedLists value) { + swigfaissJNI.IndexIVF_invlists_set(swigCPtr, this, InvertedLists.getCPtr(value), value); + } + + public InvertedLists getInvlists() { + long cPtr = swigfaissJNI.IndexIVF_invlists_get(swigCPtr, this); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public void setOwn_invlists(boolean value) { + swigfaissJNI.IndexIVF_own_invlists_set(swigCPtr, this, value); + } + + public boolean getOwn_invlists() { + return swigfaissJNI.IndexIVF_own_invlists_get(swigCPtr, this); + } + + public void setCode_size(long value) { + swigfaissJNI.IndexIVF_code_size_set(swigCPtr, this, value); + } + + public long getCode_size() { + return swigfaissJNI.IndexIVF_code_size_get(swigCPtr, this); + } + + public void setNprobe(long value) { + swigfaissJNI.IndexIVF_nprobe_set(swigCPtr, this, value); + } + + public long getNprobe() { + return swigfaissJNI.IndexIVF_nprobe_get(swigCPtr, this); + } + + public void setMax_codes(long value) { + swigfaissJNI.IndexIVF_max_codes_set(swigCPtr, this, value); + } + + public long getMax_codes() { + return swigfaissJNI.IndexIVF_max_codes_get(swigCPtr, this); + } + + public void setParallel_mode(int value) { + swigfaissJNI.IndexIVF_parallel_mode_set(swigCPtr, this, value); + } + + public int getParallel_mode() { + return swigfaissJNI.IndexIVF_parallel_mode_get(swigCPtr, this); + } + + public int getPARALLEL_MODE_NO_HEAP_INIT() { + return swigfaissJNI.IndexIVF_PARALLEL_MODE_NO_HEAP_INIT_get(swigCPtr, this); + } + + public void setDirect_map(SWIGTYPE_p_DirectMap value) { + swigfaissJNI.IndexIVF_direct_map_set(swigCPtr, this, SWIGTYPE_p_DirectMap.getCPtr(value)); + } + + public SWIGTYPE_p_DirectMap getDirect_map() { + return new SWIGTYPE_p_DirectMap(swigfaissJNI.IndexIVF_direct_map_get(swigCPtr, this), true); + } + + public void reset() { + swigfaissJNI.IndexIVF_reset(swigCPtr, this); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVF_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVF_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void add_with_ids(long n, SWIGTYPE_p_float x, LongVector xids) { + swigfaissJNI.IndexIVF_add_with_ids(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids); + } + + public void add_core(long n, SWIGTYPE_p_float x, LongVector xids, LongVector precomputed_idx) { + swigfaissJNI.IndexIVF_add_core(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids, SWIGTYPE_p_long_long.getCPtr(precomputed_idx.data()), precomputed_idx); + } + + public void encode_vectors(long n, SWIGTYPE_p_float x, LongVector list_nos, SWIGTYPE_p_unsigned_char codes, boolean include_listno) { + swigfaissJNI.IndexIVF_encode_vectors__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, SWIGTYPE_p_unsigned_char.getCPtr(codes), include_listno); + } + + public void encode_vectors(long n, SWIGTYPE_p_float x, LongVector list_nos, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.IndexIVF_encode_vectors__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void add_sa_codes(long n, SWIGTYPE_p_unsigned_char codes, LongVector xids) { + swigfaissJNI.IndexIVF_add_sa_codes(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(codes), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids); + } + + public void train_residual(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVF_train_residual(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search_preassigned(long n, SWIGTYPE_p_float x, long k, LongVector assign, SWIGTYPE_p_float centroid_dis, SWIGTYPE_p_float distances, LongVector labels, boolean store_pairs, IVFSearchParameters params, IndexIVFStats stats) { + swigfaissJNI.IndexIVF_search_preassigned__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_float.getCPtr(centroid_dis), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, store_pairs, IVFSearchParameters.getCPtr(params), params, IndexIVFStats.getCPtr(stats), stats); + } + + public void search_preassigned(long n, SWIGTYPE_p_float x, long k, LongVector assign, SWIGTYPE_p_float centroid_dis, SWIGTYPE_p_float distances, LongVector labels, boolean store_pairs, IVFSearchParameters params) { + swigfaissJNI.IndexIVF_search_preassigned__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_float.getCPtr(centroid_dis), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, store_pairs, IVFSearchParameters.getCPtr(params), params); + } + + public void search_preassigned(long n, SWIGTYPE_p_float x, long k, LongVector assign, SWIGTYPE_p_float centroid_dis, SWIGTYPE_p_float distances, LongVector labels, boolean store_pairs) { + swigfaissJNI.IndexIVF_search_preassigned__SWIG_2(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_float.getCPtr(centroid_dis), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, store_pairs); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexIVF_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void range_search(long n, SWIGTYPE_p_float x, float radius, RangeSearchResult result) { + swigfaissJNI.IndexIVF_range_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result); + } + + public void range_search_preassigned(long nx, SWIGTYPE_p_float x, float radius, LongVector keys, SWIGTYPE_p_float coarse_dis, RangeSearchResult result, boolean store_pairs, IVFSearchParameters params, IndexIVFStats stats) { + swigfaissJNI.IndexIVF_range_search_preassigned__SWIG_0(swigCPtr, this, nx, SWIGTYPE_p_float.getCPtr(x), radius, SWIGTYPE_p_long_long.getCPtr(keys.data()), keys, SWIGTYPE_p_float.getCPtr(coarse_dis), RangeSearchResult.getCPtr(result), result, store_pairs, IVFSearchParameters.getCPtr(params), params, IndexIVFStats.getCPtr(stats), stats); + } + + public void range_search_preassigned(long nx, SWIGTYPE_p_float x, float radius, LongVector keys, SWIGTYPE_p_float coarse_dis, RangeSearchResult result, boolean store_pairs, IVFSearchParameters params) { + swigfaissJNI.IndexIVF_range_search_preassigned__SWIG_1(swigCPtr, this, nx, SWIGTYPE_p_float.getCPtr(x), radius, SWIGTYPE_p_long_long.getCPtr(keys.data()), keys, SWIGTYPE_p_float.getCPtr(coarse_dis), RangeSearchResult.getCPtr(result), result, store_pairs, IVFSearchParameters.getCPtr(params), params); + } + + public void range_search_preassigned(long nx, SWIGTYPE_p_float x, float radius, LongVector keys, SWIGTYPE_p_float coarse_dis, RangeSearchResult result, boolean store_pairs) { + swigfaissJNI.IndexIVF_range_search_preassigned__SWIG_2(swigCPtr, this, nx, SWIGTYPE_p_float.getCPtr(x), radius, SWIGTYPE_p_long_long.getCPtr(keys.data()), keys, SWIGTYPE_p_float.getCPtr(coarse_dis), RangeSearchResult.getCPtr(result), result, store_pairs); + } + + public void range_search_preassigned(long nx, SWIGTYPE_p_float x, float radius, LongVector keys, SWIGTYPE_p_float coarse_dis, RangeSearchResult result) { + swigfaissJNI.IndexIVF_range_search_preassigned__SWIG_3(swigCPtr, this, nx, SWIGTYPE_p_float.getCPtr(x), radius, SWIGTYPE_p_long_long.getCPtr(keys.data()), keys, SWIGTYPE_p_float.getCPtr(coarse_dis), RangeSearchResult.getCPtr(result), result); + } + + public SWIGTYPE_p_faiss__InvertedListScanner get_InvertedListScanner(boolean store_pairs) { + long cPtr = swigfaissJNI.IndexIVF_get_InvertedListScanner__SWIG_0(swigCPtr, this, store_pairs); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__InvertedListScanner(cPtr, false); + } + + public SWIGTYPE_p_faiss__InvertedListScanner get_InvertedListScanner() { + long cPtr = swigfaissJNI.IndexIVF_get_InvertedListScanner__SWIG_1(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__InvertedListScanner(cPtr, false); + } + + public void reconstruct(long key, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexIVF_reconstruct(swigCPtr, this, key, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void update_vectors(int nv, LongVector idx, SWIGTYPE_p_float v) { + swigfaissJNI.IndexIVF_update_vectors(swigCPtr, this, nv, SWIGTYPE_p_long_long.getCPtr(idx.data()), idx, SWIGTYPE_p_float.getCPtr(v)); + } + + public void reconstruct_n(long i0, long ni, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexIVF_reconstruct_n(swigCPtr, this, i0, ni, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void search_and_reconstruct(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexIVF_search_and_reconstruct(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void reconstruct_from_offset(long list_no, long offset, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexIVF_reconstruct_from_offset(swigCPtr, this, list_no, offset, SWIGTYPE_p_float.getCPtr(recons)); + } + + public long remove_ids(IDSelector sel) { + return swigfaissJNI.IndexIVF_remove_ids(swigCPtr, this, IDSelector.getCPtr(sel), sel); + } + + public void check_compatible_for_merge(IndexIVF other) { + swigfaissJNI.IndexIVF_check_compatible_for_merge(swigCPtr, this, IndexIVF.getCPtr(other), other); + } + + public void merge_from(IndexIVF other, long add_id) { + swigfaissJNI.IndexIVF_merge_from(swigCPtr, this, IndexIVF.getCPtr(other), other, add_id); + } + + public void copy_subset_to(IndexIVF other, int subset_type, long a1, long a2) { + swigfaissJNI.IndexIVF_copy_subset_to(swigCPtr, this, IndexIVF.getCPtr(other), other, subset_type, a1, a2); + } + + public long get_list_size(long list_no) { + return swigfaissJNI.IndexIVF_get_list_size(swigCPtr, this, list_no); + } + + public void make_direct_map(boolean new_maintain_direct_map) { + swigfaissJNI.IndexIVF_make_direct_map__SWIG_0(swigCPtr, this, new_maintain_direct_map); + } + + public void make_direct_map() { + swigfaissJNI.IndexIVF_make_direct_map__SWIG_1(swigCPtr, this); + } + + public void set_direct_map_type(SWIGTYPE_p_DirectMap__Type type) { + swigfaissJNI.IndexIVF_set_direct_map_type(swigCPtr, this, SWIGTYPE_p_DirectMap__Type.getCPtr(type)); + } + + public void replace_invlists(InvertedLists il, boolean own) { + swigfaissJNI.IndexIVF_replace_invlists__SWIG_0(swigCPtr, this, InvertedLists.getCPtr(il), il, own); + } + + public void replace_invlists(InvertedLists il) { + swigfaissJNI.IndexIVF_replace_invlists__SWIG_1(swigCPtr, this, InvertedLists.getCPtr(il), il); + } + + public long sa_code_size() { + return swigfaissJNI.IndexIVF_sa_code_size(swigCPtr, this); + } + + public void sa_encode(long n, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char bytes) { + swigfaissJNI.IndexIVF_sa_encode(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(bytes)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFFlat.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFFlat.java new file mode 100644 index 000000000..f2e412026 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFFlat.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexIVFFlat extends IndexIVF { + private transient long swigCPtr; + + protected IndexIVFFlat(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexIVFFlat_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexIVFFlat obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexIVFFlat(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexIVFFlat(Index quantizer, long d, long nlist_, MetricType arg3) { + this(swigfaissJNI.new_IndexIVFFlat__SWIG_0(Index.getCPtr(quantizer), quantizer, d, nlist_, arg3.swigValue()), true); + } + + public IndexIVFFlat(Index quantizer, long d, long nlist_) { + this(swigfaissJNI.new_IndexIVFFlat__SWIG_1(Index.getCPtr(quantizer), quantizer, d, nlist_), true); + } + + public void add_core(long n, SWIGTYPE_p_float x, LongVector xids, LongVector precomputed_idx) { + swigfaissJNI.IndexIVFFlat_add_core(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids, SWIGTYPE_p_long_long.getCPtr(precomputed_idx.data()), precomputed_idx); + } + + public void encode_vectors(long n, SWIGTYPE_p_float x, LongVector list_nos, SWIGTYPE_p_unsigned_char codes, boolean include_listnos) { + swigfaissJNI.IndexIVFFlat_encode_vectors__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, SWIGTYPE_p_unsigned_char.getCPtr(codes), include_listnos); + } + + public void encode_vectors(long n, SWIGTYPE_p_float x, LongVector list_nos, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.IndexIVFFlat_encode_vectors__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public SWIGTYPE_p_faiss__InvertedListScanner get_InvertedListScanner(boolean store_pairs) { + long cPtr = swigfaissJNI.IndexIVFFlat_get_InvertedListScanner(swigCPtr, this, store_pairs); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__InvertedListScanner(cPtr, false); + } + + public void reconstruct_from_offset(long list_no, long offset, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexIVFFlat_reconstruct_from_offset(swigCPtr, this, list_no, offset, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVFFlat_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + + public IndexIVFFlat() { + this(swigfaissJNI.new_IndexIVFFlat__SWIG_2(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFFlatDedup.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFFlatDedup.java new file mode 100644 index 000000000..7efd00537 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFFlatDedup.java @@ -0,0 +1,95 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexIVFFlatDedup extends IndexIVFFlat { + private transient long swigCPtr; + + protected IndexIVFFlatDedup(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexIVFFlatDedup_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexIVFFlatDedup obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexIVFFlatDedup(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setInstances(SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t value) { + swigfaissJNI.IndexIVFFlatDedup_instances_set(swigCPtr, this, SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t getInstances() { + return new SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t(swigfaissJNI.IndexIVFFlatDedup_instances_get(swigCPtr, this), true); + } + + public IndexIVFFlatDedup(Index quantizer, long d, long nlist_, MetricType arg3) { + this(swigfaissJNI.new_IndexIVFFlatDedup__SWIG_0(Index.getCPtr(quantizer), quantizer, d, nlist_, arg3.swigValue()), true); + } + + public IndexIVFFlatDedup(Index quantizer, long d, long nlist_) { + this(swigfaissJNI.new_IndexIVFFlatDedup__SWIG_1(Index.getCPtr(quantizer), quantizer, d, nlist_), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVFFlatDedup_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void add_with_ids(long n, SWIGTYPE_p_float x, LongVector xids) { + swigfaissJNI.IndexIVFFlatDedup_add_with_ids(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids); + } + + public void search_preassigned(long n, SWIGTYPE_p_float x, long k, LongVector assign, SWIGTYPE_p_float centroid_dis, SWIGTYPE_p_float distances, LongVector labels, boolean store_pairs, IVFSearchParameters params, IndexIVFStats stats) { + swigfaissJNI.IndexIVFFlatDedup_search_preassigned__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_float.getCPtr(centroid_dis), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, store_pairs, IVFSearchParameters.getCPtr(params), params, IndexIVFStats.getCPtr(stats), stats); + } + + public void search_preassigned(long n, SWIGTYPE_p_float x, long k, LongVector assign, SWIGTYPE_p_float centroid_dis, SWIGTYPE_p_float distances, LongVector labels, boolean store_pairs, IVFSearchParameters params) { + swigfaissJNI.IndexIVFFlatDedup_search_preassigned__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_float.getCPtr(centroid_dis), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, store_pairs, IVFSearchParameters.getCPtr(params), params); + } + + public void search_preassigned(long n, SWIGTYPE_p_float x, long k, LongVector assign, SWIGTYPE_p_float centroid_dis, SWIGTYPE_p_float distances, LongVector labels, boolean store_pairs) { + swigfaissJNI.IndexIVFFlatDedup_search_preassigned__SWIG_2(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign, SWIGTYPE_p_float.getCPtr(centroid_dis), SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, store_pairs); + } + + public long remove_ids(IDSelector sel) { + return swigfaissJNI.IndexIVFFlatDedup_remove_ids(swigCPtr, this, IDSelector.getCPtr(sel), sel); + } + + public void range_search(long n, SWIGTYPE_p_float x, float radius, RangeSearchResult result) { + swigfaissJNI.IndexIVFFlatDedup_range_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result); + } + + public void update_vectors(int nv, LongVector idx, SWIGTYPE_p_float v) { + swigfaissJNI.IndexIVFFlatDedup_update_vectors(swigCPtr, this, nv, SWIGTYPE_p_long_long.getCPtr(idx.data()), idx, SWIGTYPE_p_float.getCPtr(v)); + } + + public void reconstruct_from_offset(long list_no, long offset, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexIVFFlatDedup_reconstruct_from_offset(swigCPtr, this, list_no, offset, SWIGTYPE_p_float.getCPtr(recons)); + } + + public IndexIVFFlatDedup() { + this(swigfaissJNI.new_IndexIVFFlatDedup__SWIG_2(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFPQ.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFPQ.java new file mode 100644 index 000000000..ba5514a0f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFPQ.java @@ -0,0 +1,182 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexIVFPQ extends IndexIVF { + private transient long swigCPtr; + + protected IndexIVFPQ(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexIVFPQ_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexIVFPQ obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexIVFPQ(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setBy_residual(boolean value) { + swigfaissJNI.IndexIVFPQ_by_residual_set(swigCPtr, this, value); + } + + public boolean getBy_residual() { + return swigfaissJNI.IndexIVFPQ_by_residual_get(swigCPtr, this); + } + + public void setPq(ProductQuantizer value) { + swigfaissJNI.IndexIVFPQ_pq_set(swigCPtr, this, ProductQuantizer.getCPtr(value), value); + } + + public ProductQuantizer getPq() { + long cPtr = swigfaissJNI.IndexIVFPQ_pq_get(swigCPtr, this); + return (cPtr == 0) ? null : new ProductQuantizer(cPtr, false); + } + + public void setDo_polysemous_training(boolean value) { + swigfaissJNI.IndexIVFPQ_do_polysemous_training_set(swigCPtr, this, value); + } + + public boolean getDo_polysemous_training() { + return swigfaissJNI.IndexIVFPQ_do_polysemous_training_get(swigCPtr, this); + } + + public void setPolysemous_training(PolysemousTraining value) { + swigfaissJNI.IndexIVFPQ_polysemous_training_set(swigCPtr, this, PolysemousTraining.getCPtr(value), value); + } + + public PolysemousTraining getPolysemous_training() { + long cPtr = swigfaissJNI.IndexIVFPQ_polysemous_training_get(swigCPtr, this); + return (cPtr == 0) ? null : new PolysemousTraining(cPtr, false); + } + + public void setScan_table_threshold(long value) { + swigfaissJNI.IndexIVFPQ_scan_table_threshold_set(swigCPtr, this, value); + } + + public long getScan_table_threshold() { + return swigfaissJNI.IndexIVFPQ_scan_table_threshold_get(swigCPtr, this); + } + + public void setPolysemous_ht(int value) { + swigfaissJNI.IndexIVFPQ_polysemous_ht_set(swigCPtr, this, value); + } + + public int getPolysemous_ht() { + return swigfaissJNI.IndexIVFPQ_polysemous_ht_get(swigCPtr, this); + } + + public void setUse_precomputed_table(int value) { + swigfaissJNI.IndexIVFPQ_use_precomputed_table_set(swigCPtr, this, value); + } + + public int getUse_precomputed_table() { + return swigfaissJNI.IndexIVFPQ_use_precomputed_table_get(swigCPtr, this); + } + + public void setPrecomputed_table(SWIGTYPE_p_AlignedTableT_float_t value) { + swigfaissJNI.IndexIVFPQ_precomputed_table_set(swigCPtr, this, SWIGTYPE_p_AlignedTableT_float_t.getCPtr(value)); + } + + public SWIGTYPE_p_AlignedTableT_float_t getPrecomputed_table() { + return new SWIGTYPE_p_AlignedTableT_float_t(swigfaissJNI.IndexIVFPQ_precomputed_table_get(swigCPtr, this), true); + } + + public IndexIVFPQ(Index quantizer, long d, long nlist, long M, long nbits_per_idx, MetricType metric) { + this(swigfaissJNI.new_IndexIVFPQ__SWIG_0(Index.getCPtr(quantizer), quantizer, d, nlist, M, nbits_per_idx, metric.swigValue()), true); + } + + public IndexIVFPQ(Index quantizer, long d, long nlist, long M, long nbits_per_idx) { + this(swigfaissJNI.new_IndexIVFPQ__SWIG_1(Index.getCPtr(quantizer), quantizer, d, nlist, M, nbits_per_idx), true); + } + + public void encode_vectors(long n, SWIGTYPE_p_float x, LongVector list_nos, SWIGTYPE_p_unsigned_char codes, boolean include_listnos) { + swigfaissJNI.IndexIVFPQ_encode_vectors__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, SWIGTYPE_p_unsigned_char.getCPtr(codes), include_listnos); + } + + public void encode_vectors(long n, SWIGTYPE_p_float x, LongVector list_nos, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.IndexIVFPQ_encode_vectors__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVFPQ_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + + public void add_core(long n, SWIGTYPE_p_float x, LongVector xids, LongVector precomputed_idx) { + swigfaissJNI.IndexIVFPQ_add_core(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids, SWIGTYPE_p_long_long.getCPtr(precomputed_idx.data()), precomputed_idx); + } + + public void add_core_o(long n, SWIGTYPE_p_float x, LongVector xids, SWIGTYPE_p_float residuals_2, LongVector precomputed_idx) { + swigfaissJNI.IndexIVFPQ_add_core_o__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids, SWIGTYPE_p_float.getCPtr(residuals_2), SWIGTYPE_p_long_long.getCPtr(precomputed_idx.data()), precomputed_idx); + } + + public void add_core_o(long n, SWIGTYPE_p_float x, LongVector xids, SWIGTYPE_p_float residuals_2) { + swigfaissJNI.IndexIVFPQ_add_core_o__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids, SWIGTYPE_p_float.getCPtr(residuals_2)); + } + + public void train_residual(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVFPQ_train_residual(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void train_residual_o(long n, SWIGTYPE_p_float x, SWIGTYPE_p_float residuals_2) { + swigfaissJNI.IndexIVFPQ_train_residual_o(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(residuals_2)); + } + + public void reconstruct_from_offset(long list_no, long offset, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexIVFPQ_reconstruct_from_offset(swigCPtr, this, list_no, offset, SWIGTYPE_p_float.getCPtr(recons)); + } + + public long find_duplicates(LongVector ids, SWIGTYPE_p_unsigned_long lims) { + return swigfaissJNI.IndexIVFPQ_find_duplicates(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_long.getCPtr(lims)); + } + + public void encode(long key, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.IndexIVFPQ_encode(swigCPtr, this, key, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void encode_multiple(long n, LongVector keys, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char codes, boolean compute_keys) { + swigfaissJNI.IndexIVFPQ_encode_multiple__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_long_long.getCPtr(keys.data()), keys, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(codes), compute_keys); + } + + public void encode_multiple(long n, LongVector keys, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.IndexIVFPQ_encode_multiple__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_long_long.getCPtr(keys.data()), keys, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void decode_multiple(long n, LongVector keys, SWIGTYPE_p_unsigned_char xcodes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVFPQ_decode_multiple(swigCPtr, this, n, SWIGTYPE_p_long_long.getCPtr(keys.data()), keys, SWIGTYPE_p_unsigned_char.getCPtr(xcodes), SWIGTYPE_p_float.getCPtr(x)); + } + + public SWIGTYPE_p_faiss__InvertedListScanner get_InvertedListScanner(boolean store_pairs) { + long cPtr = swigfaissJNI.IndexIVFPQ_get_InvertedListScanner(swigCPtr, this, store_pairs); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__InvertedListScanner(cPtr, false); + } + + public void precompute_table() { + swigfaissJNI.IndexIVFPQ_precompute_table(swigCPtr, this); + } + + public IndexIVFPQ() { + this(swigfaissJNI.new_IndexIVFPQ__SWIG_2(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFPQStats.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFPQStats.java new file mode 100644 index 000000000..81c829363 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFPQStats.java @@ -0,0 +1,79 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexIVFPQStats { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected IndexIVFPQStats(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexIVFPQStats obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexIVFPQStats(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNrefine(long value) { + swigfaissJNI.IndexIVFPQStats_nrefine_set(swigCPtr, this, value); + } + + public long getNrefine() { + return swigfaissJNI.IndexIVFPQStats_nrefine_get(swigCPtr, this); + } + + public void setN_hamming_pass(long value) { + swigfaissJNI.IndexIVFPQStats_n_hamming_pass_set(swigCPtr, this, value); + } + + public long getN_hamming_pass() { + return swigfaissJNI.IndexIVFPQStats_n_hamming_pass_get(swigCPtr, this); + } + + public void setSearch_cycles(long value) { + swigfaissJNI.IndexIVFPQStats_search_cycles_set(swigCPtr, this, value); + } + + public long getSearch_cycles() { + return swigfaissJNI.IndexIVFPQStats_search_cycles_get(swigCPtr, this); + } + + public void setRefine_cycles(long value) { + swigfaissJNI.IndexIVFPQStats_refine_cycles_set(swigCPtr, this, value); + } + + public long getRefine_cycles() { + return swigfaissJNI.IndexIVFPQStats_refine_cycles_get(swigCPtr, this); + } + + public IndexIVFPQStats() { + this(swigfaissJNI.new_IndexIVFPQStats(), true); + } + + public void reset() { + swigfaissJNI.IndexIVFPQStats_reset(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFScalarQuantizer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFScalarQuantizer.java new file mode 100644 index 000000000..8e72059de --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFScalarQuantizer.java @@ -0,0 +1,100 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexIVFScalarQuantizer extends IndexIVF { + private transient long swigCPtr; + + protected IndexIVFScalarQuantizer(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexIVFScalarQuantizer_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexIVFScalarQuantizer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexIVFScalarQuantizer(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setSq(SWIGTYPE_p_ScalarQuantizer value) { + swigfaissJNI.IndexIVFScalarQuantizer_sq_set(swigCPtr, this, SWIGTYPE_p_ScalarQuantizer.getCPtr(value)); + } + + public SWIGTYPE_p_ScalarQuantizer getSq() { + return new SWIGTYPE_p_ScalarQuantizer(swigfaissJNI.IndexIVFScalarQuantizer_sq_get(swigCPtr, this), true); + } + + public void setBy_residual(boolean value) { + swigfaissJNI.IndexIVFScalarQuantizer_by_residual_set(swigCPtr, this, value); + } + + public boolean getBy_residual() { + return swigfaissJNI.IndexIVFScalarQuantizer_by_residual_get(swigCPtr, this); + } + + public IndexIVFScalarQuantizer(Index quantizer, long d, long nlist, SWIGTYPE_p_ScalarQuantizer__QuantizerType qtype, MetricType metric, boolean encode_residual) { + this(swigfaissJNI.new_IndexIVFScalarQuantizer__SWIG_0(Index.getCPtr(quantizer), quantizer, d, nlist, SWIGTYPE_p_ScalarQuantizer__QuantizerType.getCPtr(qtype), metric.swigValue(), encode_residual), true); + } + + public IndexIVFScalarQuantizer(Index quantizer, long d, long nlist, SWIGTYPE_p_ScalarQuantizer__QuantizerType qtype, MetricType metric) { + this(swigfaissJNI.new_IndexIVFScalarQuantizer__SWIG_1(Index.getCPtr(quantizer), quantizer, d, nlist, SWIGTYPE_p_ScalarQuantizer__QuantizerType.getCPtr(qtype), metric.swigValue()), true); + } + + public IndexIVFScalarQuantizer(Index quantizer, long d, long nlist, SWIGTYPE_p_ScalarQuantizer__QuantizerType qtype) { + this(swigfaissJNI.new_IndexIVFScalarQuantizer__SWIG_2(Index.getCPtr(quantizer), quantizer, d, nlist, SWIGTYPE_p_ScalarQuantizer__QuantizerType.getCPtr(qtype)), true); + } + + public IndexIVFScalarQuantizer() { + this(swigfaissJNI.new_IndexIVFScalarQuantizer__SWIG_3(), true); + } + + public void train_residual(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVFScalarQuantizer_train_residual(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void encode_vectors(long n, SWIGTYPE_p_float x, LongVector list_nos, SWIGTYPE_p_unsigned_char codes, boolean include_listnos) { + swigfaissJNI.IndexIVFScalarQuantizer_encode_vectors__SWIG_0(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, SWIGTYPE_p_unsigned_char.getCPtr(codes), include_listnos); + } + + public void encode_vectors(long n, SWIGTYPE_p_float x, LongVector list_nos, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.IndexIVFScalarQuantizer_encode_vectors__SWIG_1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void add_core(long n, SWIGTYPE_p_float x, LongVector xids, LongVector precomputed_idx) { + swigfaissJNI.IndexIVFScalarQuantizer_add_core(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids, SWIGTYPE_p_long_long.getCPtr(precomputed_idx.data()), precomputed_idx); + } + + public SWIGTYPE_p_faiss__InvertedListScanner get_InvertedListScanner(boolean store_pairs) { + long cPtr = swigfaissJNI.IndexIVFScalarQuantizer_get_InvertedListScanner(swigCPtr, this, store_pairs); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__InvertedListScanner(cPtr, false); + } + + public void reconstruct_from_offset(long list_no, long offset, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexIVFScalarQuantizer_reconstruct_from_offset(swigCPtr, this, list_no, offset, SWIGTYPE_p_float.getCPtr(recons)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexIVFScalarQuantizer_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFStats.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFStats.java new file mode 100644 index 000000000..b70bb07aa --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexIVFStats.java @@ -0,0 +1,99 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexIVFStats { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected IndexIVFStats(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexIVFStats obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexIVFStats(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNq(long value) { + swigfaissJNI.IndexIVFStats_nq_set(swigCPtr, this, value); + } + + public long getNq() { + return swigfaissJNI.IndexIVFStats_nq_get(swigCPtr, this); + } + + public void setNlist(long value) { + swigfaissJNI.IndexIVFStats_nlist_set(swigCPtr, this, value); + } + + public long getNlist() { + return swigfaissJNI.IndexIVFStats_nlist_get(swigCPtr, this); + } + + public void setNdis(long value) { + swigfaissJNI.IndexIVFStats_ndis_set(swigCPtr, this, value); + } + + public long getNdis() { + return swigfaissJNI.IndexIVFStats_ndis_get(swigCPtr, this); + } + + public void setNheap_updates(long value) { + swigfaissJNI.IndexIVFStats_nheap_updates_set(swigCPtr, this, value); + } + + public long getNheap_updates() { + return swigfaissJNI.IndexIVFStats_nheap_updates_get(swigCPtr, this); + } + + public void setQuantization_time(double value) { + swigfaissJNI.IndexIVFStats_quantization_time_set(swigCPtr, this, value); + } + + public double getQuantization_time() { + return swigfaissJNI.IndexIVFStats_quantization_time_get(swigCPtr, this); + } + + public void setSearch_time(double value) { + swigfaissJNI.IndexIVFStats_search_time_set(swigCPtr, this, value); + } + + public double getSearch_time() { + return swigfaissJNI.IndexIVFStats_search_time_get(swigCPtr, this); + } + + public IndexIVFStats() { + this(swigfaissJNI.new_IndexIVFStats(), true); + } + + public void reset() { + swigfaissJNI.IndexIVFStats_reset(swigCPtr, this); + } + + public void add(IndexIVFStats other) { + swigfaissJNI.IndexIVFStats_add(swigCPtr, this, IndexIVFStats.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexLSH.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexLSH.java new file mode 100644 index 000000000..77c1cb855 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexLSH.java @@ -0,0 +1,122 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexLSH extends IndexFlatCodes { + private transient long swigCPtr; + + protected IndexLSH(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexLSH_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexLSH obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexLSH(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setNbits(int value) { + swigfaissJNI.IndexLSH_nbits_set(swigCPtr, this, value); + } + + public int getNbits() { + return swigfaissJNI.IndexLSH_nbits_get(swigCPtr, this); + } + + public void setRotate_data(boolean value) { + swigfaissJNI.IndexLSH_rotate_data_set(swigCPtr, this, value); + } + + public boolean getRotate_data() { + return swigfaissJNI.IndexLSH_rotate_data_get(swigCPtr, this); + } + + public void setTrain_thresholds(boolean value) { + swigfaissJNI.IndexLSH_train_thresholds_set(swigCPtr, this, value); + } + + public boolean getTrain_thresholds() { + return swigfaissJNI.IndexLSH_train_thresholds_get(swigCPtr, this); + } + + public void setRrot(RandomRotationMatrix value) { + swigfaissJNI.IndexLSH_rrot_set(swigCPtr, this, RandomRotationMatrix.getCPtr(value), value); + } + + public RandomRotationMatrix getRrot() { + long cPtr = swigfaissJNI.IndexLSH_rrot_get(swigCPtr, this); + return (cPtr == 0) ? null : new RandomRotationMatrix(cPtr, false); + } + + public void setThresholds(FloatVector value) { + swigfaissJNI.IndexLSH_thresholds_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getThresholds() { + long cPtr = swigfaissJNI.IndexLSH_thresholds_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public IndexLSH(long d, int nbits, boolean rotate_data, boolean train_thresholds) { + this(swigfaissJNI.new_IndexLSH__SWIG_0(d, nbits, rotate_data, train_thresholds), true); + } + + public IndexLSH(long d, int nbits, boolean rotate_data) { + this(swigfaissJNI.new_IndexLSH__SWIG_1(d, nbits, rotate_data), true); + } + + public IndexLSH(long d, int nbits) { + this(swigfaissJNI.new_IndexLSH__SWIG_2(d, nbits), true); + } + + public SWIGTYPE_p_float apply_preprocess(long n, SWIGTYPE_p_float x) { + long cPtr = swigfaissJNI.IndexLSH_apply_preprocess(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexLSH_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexLSH_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void transfer_thresholds(LinearTransform vt) { + swigfaissJNI.IndexLSH_transfer_thresholds(swigCPtr, this, LinearTransform.getCPtr(vt), vt); + } + + public IndexLSH() { + this(swigfaissJNI.new_IndexLSH__SWIG_3(), true); + } + + public void sa_encode(long n, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char bytes) { + swigfaissJNI.IndexLSH_sa_encode(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(bytes)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexLSH_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexPQ.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexPQ.java new file mode 100644 index 000000000..b0e874cbc --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexPQ.java @@ -0,0 +1,182 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexPQ extends IndexFlatCodes { + private transient long swigCPtr; + + protected IndexPQ(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexPQ_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexPQ obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexPQ(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setPq(ProductQuantizer value) { + swigfaissJNI.IndexPQ_pq_set(swigCPtr, this, ProductQuantizer.getCPtr(value), value); + } + + public ProductQuantizer getPq() { + long cPtr = swigfaissJNI.IndexPQ_pq_get(swigCPtr, this); + return (cPtr == 0) ? null : new ProductQuantizer(cPtr, false); + } + + public IndexPQ(int d, long M, long nbits, MetricType metric) { + this(swigfaissJNI.new_IndexPQ__SWIG_0(d, M, nbits, metric.swigValue()), true); + } + + public IndexPQ(int d, long M, long nbits) { + this(swigfaissJNI.new_IndexPQ__SWIG_1(d, M, nbits), true); + } + + public IndexPQ() { + this(swigfaissJNI.new_IndexPQ__SWIG_2(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexPQ_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexPQ_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void sa_encode(long n, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char bytes) { + swigfaissJNI.IndexPQ_sa_encode(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(bytes)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexPQ_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + + public DistanceComputer get_distance_computer() { + long cPtr = swigfaissJNI.IndexPQ_get_distance_computer(swigCPtr, this); + return (cPtr == 0) ? null : new DistanceComputer(cPtr, false); + } + + public void setDo_polysemous_training(boolean value) { + swigfaissJNI.IndexPQ_do_polysemous_training_set(swigCPtr, this, value); + } + + public boolean getDo_polysemous_training() { + return swigfaissJNI.IndexPQ_do_polysemous_training_get(swigCPtr, this); + } + + public void setPolysemous_training(PolysemousTraining value) { + swigfaissJNI.IndexPQ_polysemous_training_set(swigCPtr, this, PolysemousTraining.getCPtr(value), value); + } + + public PolysemousTraining getPolysemous_training() { + long cPtr = swigfaissJNI.IndexPQ_polysemous_training_get(swigCPtr, this); + return (cPtr == 0) ? null : new PolysemousTraining(cPtr, false); + } + + public void setSearch_type(IndexPQ.Search_type_t value) { + swigfaissJNI.IndexPQ_search_type_set(swigCPtr, this, value.swigValue()); + } + + public IndexPQ.Search_type_t getSearch_type() { + return IndexPQ.Search_type_t.swigToEnum(swigfaissJNI.IndexPQ_search_type_get(swigCPtr, this)); + } + + public void setEncode_signs(boolean value) { + swigfaissJNI.IndexPQ_encode_signs_set(swigCPtr, this, value); + } + + public boolean getEncode_signs() { + return swigfaissJNI.IndexPQ_encode_signs_get(swigCPtr, this); + } + + public void setPolysemous_ht(int value) { + swigfaissJNI.IndexPQ_polysemous_ht_set(swigCPtr, this, value); + } + + public int getPolysemous_ht() { + return swigfaissJNI.IndexPQ_polysemous_ht_get(swigCPtr, this); + } + + public void search_core_polysemous(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexPQ_search_core_polysemous(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void hamming_distance_histogram(long n, SWIGTYPE_p_float x, long nb, SWIGTYPE_p_float xb, LongVector dist_histogram) { + swigfaissJNI.IndexPQ_hamming_distance_histogram(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), nb, SWIGTYPE_p_float.getCPtr(xb), SWIGTYPE_p_long_long.getCPtr(dist_histogram.data()), dist_histogram); + } + + public void hamming_distance_table(long n, SWIGTYPE_p_float x, SWIGTYPE_p_int dis) { + swigfaissJNI.IndexPQ_hamming_distance_table(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_int.getCPtr(dis)); + } + + public final static class Search_type_t { + public final static IndexPQ.Search_type_t ST_PQ = new IndexPQ.Search_type_t("ST_PQ"); + public final static IndexPQ.Search_type_t ST_HE = new IndexPQ.Search_type_t("ST_HE"); + public final static IndexPQ.Search_type_t ST_generalized_HE = new IndexPQ.Search_type_t("ST_generalized_HE"); + public final static IndexPQ.Search_type_t ST_SDC = new IndexPQ.Search_type_t("ST_SDC"); + public final static IndexPQ.Search_type_t ST_polysemous = new IndexPQ.Search_type_t("ST_polysemous"); + public final static IndexPQ.Search_type_t ST_polysemous_generalize = new IndexPQ.Search_type_t("ST_polysemous_generalize"); + + public final int swigValue() { + return swigValue; + } + + public String toString() { + return swigName; + } + + public static Search_type_t swigToEnum(int swigValue) { + if (swigValue < swigValues.length && swigValue >= 0 && swigValues[swigValue].swigValue == swigValue) + return swigValues[swigValue]; + for (int i = 0; i < swigValues.length; i++) + if (swigValues[i].swigValue == swigValue) + return swigValues[i]; + throw new IllegalArgumentException("No enum " + Search_type_t.class + " with value " + swigValue); + } + + private Search_type_t(String swigName) { + this.swigName = swigName; + this.swigValue = swigNext++; + } + + private Search_type_t(String swigName, int swigValue) { + this.swigName = swigName; + this.swigValue = swigValue; + swigNext = swigValue+1; + } + + private Search_type_t(String swigName, Search_type_t swigEnum) { + this.swigName = swigName; + this.swigValue = swigEnum.swigValue; + swigNext = this.swigValue+1; + } + + private static Search_type_t[] swigValues = { ST_PQ, ST_HE, ST_generalized_HE, ST_SDC, ST_polysemous, ST_polysemous_generalize }; + private static int swigNext = 0; + private final int swigValue; + private final String swigName; + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexPQStats.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexPQStats.java new file mode 100644 index 000000000..c5e0b9d2b --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexPQStats.java @@ -0,0 +1,71 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexPQStats { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected IndexPQStats(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexPQStats obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexPQStats(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNq(long value) { + swigfaissJNI.IndexPQStats_nq_set(swigCPtr, this, value); + } + + public long getNq() { + return swigfaissJNI.IndexPQStats_nq_get(swigCPtr, this); + } + + public void setNcode(long value) { + swigfaissJNI.IndexPQStats_ncode_set(swigCPtr, this, value); + } + + public long getNcode() { + return swigfaissJNI.IndexPQStats_ncode_get(swigCPtr, this); + } + + public void setN_hamming_pass(long value) { + swigfaissJNI.IndexPQStats_n_hamming_pass_set(swigCPtr, this, value); + } + + public long getN_hamming_pass() { + return swigfaissJNI.IndexPQStats_n_hamming_pass_get(swigCPtr, this); + } + + public IndexPQStats() { + this(swigfaissJNI.new_IndexPQStats(), true); + } + + public void reset() { + swigfaissJNI.IndexPQStats_reset(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexRefine.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexRefine.java new file mode 100644 index 000000000..f0e1269d8 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexRefine.java @@ -0,0 +1,121 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexRefine extends Index { + private transient long swigCPtr; + + protected IndexRefine(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexRefine_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexRefine obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexRefine(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setBase_index(Index value) { + swigfaissJNI.IndexRefine_base_index_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getBase_index() { + long cPtr = swigfaissJNI.IndexRefine_base_index_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void setRefine_index(Index value) { + swigfaissJNI.IndexRefine_refine_index_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getRefine_index() { + long cPtr = swigfaissJNI.IndexRefine_refine_index_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.IndexRefine_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.IndexRefine_own_fields_get(swigCPtr, this); + } + + public void setOwn_refine_index(boolean value) { + swigfaissJNI.IndexRefine_own_refine_index_set(swigCPtr, this, value); + } + + public boolean getOwn_refine_index() { + return swigfaissJNI.IndexRefine_own_refine_index_get(swigCPtr, this); + } + + public void setK_factor(float value) { + swigfaissJNI.IndexRefine_k_factor_set(swigCPtr, this, value); + } + + public float getK_factor() { + return swigfaissJNI.IndexRefine_k_factor_get(swigCPtr, this); + } + + public IndexRefine(Index base_index, Index refine_index) { + this(swigfaissJNI.new_IndexRefine__SWIG_0(Index.getCPtr(base_index), base_index, Index.getCPtr(refine_index), refine_index), true); + } + + public IndexRefine() { + this(swigfaissJNI.new_IndexRefine__SWIG_1(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexRefine_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexRefine_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void reset() { + swigfaissJNI.IndexRefine_reset(swigCPtr, this); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexRefine_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void reconstruct(long key, SWIGTYPE_p_float recons) { + swigfaissJNI.IndexRefine_reconstruct(swigCPtr, this, key, SWIGTYPE_p_float.getCPtr(recons)); + } + + public long sa_code_size() { + return swigfaissJNI.IndexRefine_sa_code_size(swigCPtr, this); + } + + public void sa_encode(long n, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char bytes) { + swigfaissJNI.IndexRefine_sa_encode(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(bytes)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexRefine_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexRefineFlat.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexRefineFlat.java new file mode 100644 index 000000000..5b4b43b03 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexRefineFlat.java @@ -0,0 +1,55 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexRefineFlat extends IndexRefine { + private transient long swigCPtr; + + protected IndexRefineFlat(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexRefineFlat_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexRefineFlat obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexRefineFlat(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public IndexRefineFlat(Index base_index) { + this(swigfaissJNI.new_IndexRefineFlat__SWIG_0(Index.getCPtr(base_index), base_index), true); + } + + public IndexRefineFlat(Index base_index, SWIGTYPE_p_float xb) { + this(swigfaissJNI.new_IndexRefineFlat__SWIG_1(Index.getCPtr(base_index), base_index, SWIGTYPE_p_float.getCPtr(xb)), true); + } + + public IndexRefineFlat() { + this(swigfaissJNI.new_IndexRefineFlat__SWIG_2(), true); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexRefineFlat_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexScalarQuantizer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexScalarQuantizer.java new file mode 100644 index 000000000..0d7e862e5 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexScalarQuantizer.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexScalarQuantizer extends IndexFlatCodes { + private transient long swigCPtr; + + protected IndexScalarQuantizer(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexScalarQuantizer_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexScalarQuantizer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexScalarQuantizer(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setSq(SWIGTYPE_p_ScalarQuantizer value) { + swigfaissJNI.IndexScalarQuantizer_sq_set(swigCPtr, this, SWIGTYPE_p_ScalarQuantizer.getCPtr(value)); + } + + public SWIGTYPE_p_ScalarQuantizer getSq() { + return new SWIGTYPE_p_ScalarQuantizer(swigfaissJNI.IndexScalarQuantizer_sq_get(swigCPtr, this), true); + } + + public IndexScalarQuantizer(int d, SWIGTYPE_p_ScalarQuantizer__QuantizerType qtype, MetricType metric) { + this(swigfaissJNI.new_IndexScalarQuantizer__SWIG_0(d, SWIGTYPE_p_ScalarQuantizer__QuantizerType.getCPtr(qtype), metric.swigValue()), true); + } + + public IndexScalarQuantizer(int d, SWIGTYPE_p_ScalarQuantizer__QuantizerType qtype) { + this(swigfaissJNI.new_IndexScalarQuantizer__SWIG_1(d, SWIGTYPE_p_ScalarQuantizer__QuantizerType.getCPtr(qtype)), true); + } + + public IndexScalarQuantizer() { + this(swigfaissJNI.new_IndexScalarQuantizer__SWIG_2(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexScalarQuantizer_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexScalarQuantizer_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public DistanceComputer get_distance_computer() { + long cPtr = swigfaissJNI.IndexScalarQuantizer_get_distance_computer(swigCPtr, this); + return (cPtr == 0) ? null : new DistanceComputer(cPtr, false); + } + + public void sa_encode(long n, SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char bytes) { + swigfaissJNI.IndexScalarQuantizer_sa_encode(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(bytes)); + } + + public void sa_decode(long n, SWIGTYPE_p_unsigned_char bytes, SWIGTYPE_p_float x) { + swigfaissJNI.IndexScalarQuantizer_sa_decode(swigCPtr, this, n, SWIGTYPE_p_unsigned_char.getCPtr(bytes), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexShards.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexShards.java new file mode 100644 index 000000000..a86d128f9 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexShards.java @@ -0,0 +1,99 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexShards { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected IndexShards(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexShards obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexShards(swigCPtr); + } + swigCPtr = 0; + } + } + + public IndexShards(boolean threaded, boolean successive_ids) { + this(swigfaissJNI.new_IndexShards__SWIG_0(threaded, successive_ids), true); + } + + public IndexShards(boolean threaded) { + this(swigfaissJNI.new_IndexShards__SWIG_1(threaded), true); + } + + public IndexShards() { + this(swigfaissJNI.new_IndexShards__SWIG_2(), true); + } + + public IndexShards(int d, boolean threaded, boolean successive_ids) { + this(swigfaissJNI.new_IndexShards__SWIG_3(d, threaded, successive_ids), true); + } + + public IndexShards(int d, boolean threaded) { + this(swigfaissJNI.new_IndexShards__SWIG_4(d, threaded), true); + } + + public IndexShards(int d) { + this(swigfaissJNI.new_IndexShards__SWIG_5(d), true); + } + + public void add_shard(Index index) { + swigfaissJNI.IndexShards_add_shard(swigCPtr, this, Index.getCPtr(index), index); + } + + public void remove_shard(Index index) { + swigfaissJNI.IndexShards_remove_shard(swigCPtr, this, Index.getCPtr(index), index); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexShards_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void add_with_ids(long n, SWIGTYPE_p_float x, LongVector xids) { + swigfaissJNI.IndexShards_add_with_ids(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_long_long.getCPtr(xids.data()), xids); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexShards_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexShards_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void setSuccessive_ids(boolean value) { + swigfaissJNI.IndexShards_successive_ids_set(swigCPtr, this, value); + } + + public boolean getSuccessive_ids() { + return swigfaissJNI.IndexShards_successive_ids_get(swigCPtr, this); + } + + public void syncWithSubIndexes() { + swigfaissJNI.IndexShards_syncWithSubIndexes(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IndexSplitVectors.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexSplitVectors.java new file mode 100644 index 000000000..701d89919 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IndexSplitVectors.java @@ -0,0 +1,96 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IndexSplitVectors extends Index { + private transient long swigCPtr; + + protected IndexSplitVectors(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IndexSplitVectors_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IndexSplitVectors obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IndexSplitVectors(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.IndexSplitVectors_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.IndexSplitVectors_own_fields_get(swigCPtr, this); + } + + public void setThreaded(boolean value) { + swigfaissJNI.IndexSplitVectors_threaded_set(swigCPtr, this, value); + } + + public boolean getThreaded() { + return swigfaissJNI.IndexSplitVectors_threaded_get(swigCPtr, this); + } + + public void setSub_indexes(SWIGTYPE_p_std__vectorT_faiss__Index_p_t value) { + swigfaissJNI.IndexSplitVectors_sub_indexes_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__Index_p_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__Index_p_t getSub_indexes() { + long cPtr = swigfaissJNI.IndexSplitVectors_sub_indexes_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__Index_p_t(cPtr, false); + } + + public void setSum_d(long value) { + swigfaissJNI.IndexSplitVectors_sum_d_set(swigCPtr, this, value); + } + + public long getSum_d() { + return swigfaissJNI.IndexSplitVectors_sum_d_get(swigCPtr, this); +} + + public void add_sub_index(Index arg0) { + swigfaissJNI.IndexSplitVectors_add_sub_index(swigCPtr, this, Index.getCPtr(arg0), arg0); + } + + public void sync_with_sub_indexes() { + swigfaissJNI.IndexSplitVectors_sync_with_sub_indexes(swigCPtr, this); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexSplitVectors_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.IndexSplitVectors_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.IndexSplitVectors_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void reset() { + swigfaissJNI.IndexSplitVectors_reset(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IntVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IntVector.java new file mode 100644 index 000000000..712ea3718 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IntVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IntVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected IntVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(IntVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IntVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public IntVector() { + this(swigfaissJNI.new_IntVector(), true); + } + + public void push_back(int arg0) { + swigfaissJNI.IntVector_push_back(swigCPtr, this, arg0); + } + + public void clear() { + swigfaissJNI.IntVector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_int data() { + long cPtr = swigfaissJNI.IntVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_int(cPtr, false); + } + + public long size() { + return swigfaissJNI.IntVector_size(swigCPtr, this); + } + + public int at(long n) { + return swigfaissJNI.IntVector_at(swigCPtr, this, n); + } + + public void resize(long n) { + swigfaissJNI.IntVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.IntVector_reserve(swigCPtr, this, n); + } + + public void swap(IntVector other) { + swigfaissJNI.IntVector_swap(swigCPtr, this, IntVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/InterruptCallback.java b/ann/src/main/java/com/twitter/ann/faiss/swig/InterruptCallback.java new file mode 100644 index 000000000..3213696de --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/InterruptCallback.java @@ -0,0 +1,59 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class InterruptCallback { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected InterruptCallback(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(InterruptCallback obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_InterruptCallback(swigCPtr); + } + swigCPtr = 0; + } + } + + public boolean want_interrupt() { + return swigfaissJNI.InterruptCallback_want_interrupt(swigCPtr, this); + } + + public static void clear_instance() { + swigfaissJNI.InterruptCallback_clear_instance(); + } + + public static void check() { + swigfaissJNI.InterruptCallback_check(); + } + + public static boolean is_interrupted() { + return swigfaissJNI.InterruptCallback_is_interrupted(); + } + + public static long get_period_hint(long flops) { + return swigfaissJNI.InterruptCallback_get_period_hint(flops); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/IntersectionCriterion.java b/ann/src/main/java/com/twitter/ann/faiss/swig/IntersectionCriterion.java new file mode 100644 index 000000000..80f44e1d2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/IntersectionCriterion.java @@ -0,0 +1,55 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class IntersectionCriterion extends AutoTuneCriterion { + private transient long swigCPtr; + + protected IntersectionCriterion(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.IntersectionCriterion_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(IntersectionCriterion obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_IntersectionCriterion(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setR(long value) { + swigfaissJNI.IntersectionCriterion_R_set(swigCPtr, this, value); + } + + public long getR() { + return swigfaissJNI.IntersectionCriterion_R_get(swigCPtr, this); +} + + public IntersectionCriterion(long nq, long R) { + this(swigfaissJNI.new_IntersectionCriterion(nq, R), true); + } + + public double evaluate(SWIGTYPE_p_float D, LongVector I) { + return swigfaissJNI.IntersectionCriterion_evaluate(swigCPtr, this, SWIGTYPE_p_float.getCPtr(D), SWIGTYPE_p_long_long.getCPtr(I.data()), I); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/InvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/InvertedLists.java new file mode 100644 index 000000000..d7311cc75 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/InvertedLists.java @@ -0,0 +1,262 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class InvertedLists { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected InvertedLists(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(InvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_InvertedLists(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNlist(long value) { + swigfaissJNI.InvertedLists_nlist_set(swigCPtr, this, value); + } + + public long getNlist() { + return swigfaissJNI.InvertedLists_nlist_get(swigCPtr, this); + } + + public void setCode_size(long value) { + swigfaissJNI.InvertedLists_code_size_set(swigCPtr, this, value); + } + + public long getCode_size() { + return swigfaissJNI.InvertedLists_code_size_get(swigCPtr, this); + } + + public long list_size(long list_no) { + return swigfaissJNI.InvertedLists_list_size(swigCPtr, this, list_no); + } + + public SWIGTYPE_p_unsigned_char get_codes(long list_no) { + long cPtr = swigfaissJNI.InvertedLists_get_codes(swigCPtr, this, list_no); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public LongVector get_ids(long list_no) { + return new LongVector(swigfaissJNI.InvertedLists_get_ids(swigCPtr, this, list_no), false); +} + + public void release_codes(long list_no, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.InvertedLists_release_codes(swigCPtr, this, list_no, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void release_ids(long list_no, LongVector ids) { + swigfaissJNI.InvertedLists_release_ids(swigCPtr, this, list_no, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids); + } + + public long get_single_id(long list_no, long offset) { + return swigfaissJNI.InvertedLists_get_single_id(swigCPtr, this, list_no, offset); +} + + public SWIGTYPE_p_unsigned_char get_single_code(long list_no, long offset) { + long cPtr = swigfaissJNI.InvertedLists_get_single_code(swigCPtr, this, list_no, offset); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void prefetch_lists(LongVector list_nos, int nlist) { + swigfaissJNI.InvertedLists_prefetch_lists(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, nlist); + } + + public long add_entry(long list_no, long theid, SWIGTYPE_p_unsigned_char code) { + return swigfaissJNI.InvertedLists_add_entry(swigCPtr, this, list_no, theid, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public long add_entries(long list_no, long n_entry, LongVector ids, SWIGTYPE_p_unsigned_char code) { + return swigfaissJNI.InvertedLists_add_entries(swigCPtr, this, list_no, n_entry, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void update_entry(long list_no, long offset, long id, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.InvertedLists_update_entry(swigCPtr, this, list_no, offset, id, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void update_entries(long list_no, long offset, long n_entry, LongVector ids, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.InvertedLists_update_entries(swigCPtr, this, list_no, offset, n_entry, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void resize(long list_no, long new_size) { + swigfaissJNI.InvertedLists_resize(swigCPtr, this, list_no, new_size); + } + + public void reset() { + swigfaissJNI.InvertedLists_reset(swigCPtr, this); + } + + public void merge_from(InvertedLists oivf, long add_id) { + swigfaissJNI.InvertedLists_merge_from(swigCPtr, this, InvertedLists.getCPtr(oivf), oivf, add_id); + } + + public double imbalance_factor() { + return swigfaissJNI.InvertedLists_imbalance_factor(swigCPtr, this); + } + + public void print_stats() { + swigfaissJNI.InvertedLists_print_stats(swigCPtr, this); + } + + public long compute_ntotal() { + return swigfaissJNI.InvertedLists_compute_ntotal(swigCPtr, this); + } + + static public class ScopedIds { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ScopedIds(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ScopedIds obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_InvertedLists_ScopedIds(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setIl(InvertedLists value) { + swigfaissJNI.InvertedLists_ScopedIds_il_set(swigCPtr, this, InvertedLists.getCPtr(value), value); + } + + public InvertedLists getIl() { + long cPtr = swigfaissJNI.InvertedLists_ScopedIds_il_get(swigCPtr, this); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public void setIds(LongVector value) { + swigfaissJNI.InvertedLists_ScopedIds_ids_set(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(value.data()), value); + } + + public LongVector getIds() { + return new LongVector(swigfaissJNI.InvertedLists_ScopedIds_ids_get(swigCPtr, this), false); + } + + public void setList_no(long value) { + swigfaissJNI.InvertedLists_ScopedIds_list_no_set(swigCPtr, this, value); + } + + public long getList_no() { + return swigfaissJNI.InvertedLists_ScopedIds_list_no_get(swigCPtr, this); + } + + public ScopedIds(InvertedLists il, long list_no) { + this(swigfaissJNI.new_InvertedLists_ScopedIds(InvertedLists.getCPtr(il), il, list_no), true); + } + + public LongVector get() { + return new LongVector(swigfaissJNI.InvertedLists_ScopedIds_get(swigCPtr, this), false); + } + + } + + static public class ScopedCodes { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ScopedCodes(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ScopedCodes obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_InvertedLists_ScopedCodes(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setIl(InvertedLists value) { + swigfaissJNI.InvertedLists_ScopedCodes_il_set(swigCPtr, this, InvertedLists.getCPtr(value), value); + } + + public InvertedLists getIl() { + long cPtr = swigfaissJNI.InvertedLists_ScopedCodes_il_get(swigCPtr, this); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public void setCodes(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.InvertedLists_ScopedCodes_codes_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getCodes() { + long cPtr = swigfaissJNI.InvertedLists_ScopedCodes_codes_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void setList_no(long value) { + swigfaissJNI.InvertedLists_ScopedCodes_list_no_set(swigCPtr, this, value); + } + + public long getList_no() { + return swigfaissJNI.InvertedLists_ScopedCodes_list_no_get(swigCPtr, this); + } + + public ScopedCodes(InvertedLists il, long list_no) { + this(swigfaissJNI.new_InvertedLists_ScopedCodes__SWIG_0(InvertedLists.getCPtr(il), il, list_no), true); + } + + public ScopedCodes(InvertedLists il, long list_no, long offset) { + this(swigfaissJNI.new_InvertedLists_ScopedCodes__SWIG_1(InvertedLists.getCPtr(il), il, list_no, offset), true); + } + + public SWIGTYPE_p_unsigned_char get() { + long cPtr = swigfaissJNI.InvertedLists_ScopedCodes_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + } + + public final static long INVALID_CODE_SIZE = swigfaissJNI.InvertedLists_INVALID_CODE_SIZE_get(); +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/InvertedListsPtrVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/InvertedListsPtrVector.java new file mode 100644 index 000000000..4c9a14b74 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/InvertedListsPtrVector.java @@ -0,0 +1,77 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class InvertedListsPtrVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected InvertedListsPtrVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(InvertedListsPtrVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_InvertedListsPtrVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public InvertedListsPtrVector() { + this(swigfaissJNI.new_InvertedListsPtrVector(), true); + } + + public void push_back(InvertedLists arg0) { + swigfaissJNI.InvertedListsPtrVector_push_back(swigCPtr, this, InvertedLists.getCPtr(arg0), arg0); + } + + public void clear() { + swigfaissJNI.InvertedListsPtrVector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_p_faiss__InvertedLists data() { + long cPtr = swigfaissJNI.InvertedListsPtrVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_p_faiss__InvertedLists(cPtr, false); + } + + public long size() { + return swigfaissJNI.InvertedListsPtrVector_size(swigCPtr, this); + } + + public InvertedLists at(long n) { + long cPtr = swigfaissJNI.InvertedListsPtrVector_at(swigCPtr, this, n); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public void resize(long n) { + swigfaissJNI.InvertedListsPtrVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.InvertedListsPtrVector_reserve(swigCPtr, this, n); + } + + public void swap(InvertedListsPtrVector other) { + swigfaissJNI.InvertedListsPtrVector_swap(swigCPtr, this, InvertedListsPtrVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/Level1Quantizer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/Level1Quantizer.java new file mode 100644 index 000000000..9de2d8c44 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/Level1Quantizer.java @@ -0,0 +1,114 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class Level1Quantizer { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected Level1Quantizer(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(Level1Quantizer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_Level1Quantizer(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setQuantizer(Index value) { + swigfaissJNI.Level1Quantizer_quantizer_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getQuantizer() { + long cPtr = swigfaissJNI.Level1Quantizer_quantizer_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void setNlist(long value) { + swigfaissJNI.Level1Quantizer_nlist_set(swigCPtr, this, value); + } + + public long getNlist() { + return swigfaissJNI.Level1Quantizer_nlist_get(swigCPtr, this); + } + + public void setQuantizer_trains_alone(char value) { + swigfaissJNI.Level1Quantizer_quantizer_trains_alone_set(swigCPtr, this, value); + } + + public char getQuantizer_trains_alone() { + return swigfaissJNI.Level1Quantizer_quantizer_trains_alone_get(swigCPtr, this); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.Level1Quantizer_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.Level1Quantizer_own_fields_get(swigCPtr, this); + } + + public void setCp(ClusteringParameters value) { + swigfaissJNI.Level1Quantizer_cp_set(swigCPtr, this, ClusteringParameters.getCPtr(value), value); + } + + public ClusteringParameters getCp() { + long cPtr = swigfaissJNI.Level1Quantizer_cp_get(swigCPtr, this); + return (cPtr == 0) ? null : new ClusteringParameters(cPtr, false); + } + + public void setClustering_index(Index value) { + swigfaissJNI.Level1Quantizer_clustering_index_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getClustering_index() { + long cPtr = swigfaissJNI.Level1Quantizer_clustering_index_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void train_q1(long n, SWIGTYPE_p_float x, boolean verbose, MetricType metric_type) { + swigfaissJNI.Level1Quantizer_train_q1(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), verbose, metric_type.swigValue()); + } + + public long coarse_code_size() { + return swigfaissJNI.Level1Quantizer_coarse_code_size(swigCPtr, this); + } + + public void encode_listno(long list_no, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.Level1Quantizer_encode_listno(swigCPtr, this, list_no, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public long decode_listno(SWIGTYPE_p_unsigned_char code) { + return swigfaissJNI.Level1Quantizer_decode_listno(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(code)); +} + + public Level1Quantizer(Index quantizer, long nlist) { + this(swigfaissJNI.new_Level1Quantizer__SWIG_0(Index.getCPtr(quantizer), quantizer, nlist), true); + } + + public Level1Quantizer() { + this(swigfaissJNI.new_Level1Quantizer__SWIG_1(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/LinearTransform.java b/ann/src/main/java/com/twitter/ann/faiss/swig/LinearTransform.java new file mode 100644 index 000000000..6353fb0c2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/LinearTransform.java @@ -0,0 +1,117 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class LinearTransform extends VectorTransform { + private transient long swigCPtr; + + protected LinearTransform(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.LinearTransform_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(LinearTransform obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_LinearTransform(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setHave_bias(boolean value) { + swigfaissJNI.LinearTransform_have_bias_set(swigCPtr, this, value); + } + + public boolean getHave_bias() { + return swigfaissJNI.LinearTransform_have_bias_get(swigCPtr, this); + } + + public void setIs_orthonormal(boolean value) { + swigfaissJNI.LinearTransform_is_orthonormal_set(swigCPtr, this, value); + } + + public boolean getIs_orthonormal() { + return swigfaissJNI.LinearTransform_is_orthonormal_get(swigCPtr, this); + } + + public void setA(FloatVector value) { + swigfaissJNI.LinearTransform_A_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getA() { + long cPtr = swigfaissJNI.LinearTransform_A_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void setB(FloatVector value) { + swigfaissJNI.LinearTransform_b_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getB() { + long cPtr = swigfaissJNI.LinearTransform_b_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public LinearTransform(int d_in, int d_out, boolean have_bias) { + this(swigfaissJNI.new_LinearTransform__SWIG_0(d_in, d_out, have_bias), true); + } + + public LinearTransform(int d_in, int d_out) { + this(swigfaissJNI.new_LinearTransform__SWIG_1(d_in, d_out), true); + } + + public LinearTransform(int d_in) { + this(swigfaissJNI.new_LinearTransform__SWIG_2(d_in), true); + } + + public LinearTransform() { + this(swigfaissJNI.new_LinearTransform__SWIG_3(), true); + } + + public void apply_noalloc(long n, SWIGTYPE_p_float x, SWIGTYPE_p_float xt) { + swigfaissJNI.LinearTransform_apply_noalloc(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(xt)); + } + + public void transform_transpose(long n, SWIGTYPE_p_float y, SWIGTYPE_p_float x) { + swigfaissJNI.LinearTransform_transform_transpose(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(y), SWIGTYPE_p_float.getCPtr(x)); + } + + public void reverse_transform(long n, SWIGTYPE_p_float xt, SWIGTYPE_p_float x) { + swigfaissJNI.LinearTransform_reverse_transform(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(xt), SWIGTYPE_p_float.getCPtr(x)); + } + + public void set_is_orthonormal() { + swigfaissJNI.LinearTransform_set_is_orthonormal(swigCPtr, this); + } + + public void setVerbose(boolean value) { + swigfaissJNI.LinearTransform_verbose_set(swigCPtr, this, value); + } + + public boolean getVerbose() { + return swigfaissJNI.LinearTransform_verbose_get(swigCPtr, this); + } + + public void print_if_verbose(String name, DoubleVector mat, int n, int d) { + swigfaissJNI.LinearTransform_print_if_verbose(swigCPtr, this, name, DoubleVector.getCPtr(mat), mat, n, d); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/LongVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/LongVector.java new file mode 100644 index 000000000..89c5cdf5a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/LongVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class LongVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected LongVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(LongVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_LongVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public LongVector() { + this(swigfaissJNI.new_LongVector(), true); + } + + public void push_back(long arg0) { + swigfaissJNI.LongVector_push_back(swigCPtr, this, arg0); + } + + public void clear() { + swigfaissJNI.LongVector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_long_long data() { + long cPtr = swigfaissJNI.LongVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_long_long(cPtr, false); + } + + public long size() { + return swigfaissJNI.LongVector_size(swigCPtr, this); + } + + public long at(long n) { + return swigfaissJNI.LongVector_at(swigCPtr, this, n); + } + + public void resize(long n) { + swigfaissJNI.LongVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.LongVector_reserve(swigCPtr, this, n); + } + + public void swap(LongVector other) { + swigfaissJNI.LongVector_swap(swigCPtr, this, LongVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/LongVectorVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/LongVectorVector.java new file mode 100644 index 000000000..485573bac --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/LongVectorVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class LongVectorVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected LongVectorVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(LongVectorVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_LongVectorVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public LongVectorVector() { + this(swigfaissJNI.new_LongVectorVector(), true); + } + + public void push_back(SWIGTYPE_p_std__vectorT_long_t arg0) { + swigfaissJNI.LongVectorVector_push_back(swigCPtr, this, SWIGTYPE_p_std__vectorT_long_t.getCPtr(arg0)); + } + + public void clear() { + swigfaissJNI.LongVectorVector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_std__vectorT_long_t data() { + long cPtr = swigfaissJNI.LongVectorVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_long_t(cPtr, false); + } + + public long size() { + return swigfaissJNI.LongVectorVector_size(swigCPtr, this); + } + + public SWIGTYPE_p_std__vectorT_long_t at(long n) { + return new SWIGTYPE_p_std__vectorT_long_t(swigfaissJNI.LongVectorVector_at(swigCPtr, this, n), true); + } + + public void resize(long n) { + swigfaissJNI.LongVectorVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.LongVectorVector_reserve(swigCPtr, this, n); + } + + public void swap(LongVectorVector other) { + swigfaissJNI.LongVectorVector_swap(swigCPtr, this, LongVectorVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/MapLong2Long.java b/ann/src/main/java/com/twitter/ann/faiss/swig/MapLong2Long.java new file mode 100644 index 000000000..0ecaaf053 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/MapLong2Long.java @@ -0,0 +1,63 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class MapLong2Long { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected MapLong2Long(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(MapLong2Long obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_MapLong2Long(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setMap(SWIGTYPE_p_std__unordered_mapT_long_long_t value) { + swigfaissJNI.MapLong2Long_map_set(swigCPtr, this, SWIGTYPE_p_std__unordered_mapT_long_long_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__unordered_mapT_long_long_t getMap() { + return new SWIGTYPE_p_std__unordered_mapT_long_long_t(swigfaissJNI.MapLong2Long_map_get(swigCPtr, this), true); + } + + public void add(long n, SWIGTYPE_p_long keys, SWIGTYPE_p_long vals) { + swigfaissJNI.MapLong2Long_add(swigCPtr, this, n, SWIGTYPE_p_long.getCPtr(keys), SWIGTYPE_p_long.getCPtr(vals)); + } + + public int search(int key) { + return swigfaissJNI.MapLong2Long_search(swigCPtr, this, key); + } + + public void search_multiple(long n, SWIGTYPE_p_long keys, SWIGTYPE_p_long vals) { + swigfaissJNI.MapLong2Long_search_multiple(swigCPtr, this, n, SWIGTYPE_p_long.getCPtr(keys), SWIGTYPE_p_long.getCPtr(vals)); + } + + public MapLong2Long() { + this(swigfaissJNI.new_MapLong2Long(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/MaskedInvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/MaskedInvertedLists.java new file mode 100644 index 000000000..70dbb1a72 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/MaskedInvertedLists.java @@ -0,0 +1,95 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class MaskedInvertedLists extends ReadOnlyInvertedLists { + private transient long swigCPtr; + + protected MaskedInvertedLists(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.MaskedInvertedLists_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(MaskedInvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_MaskedInvertedLists(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setIl0(InvertedLists value) { + swigfaissJNI.MaskedInvertedLists_il0_set(swigCPtr, this, InvertedLists.getCPtr(value), value); + } + + public InvertedLists getIl0() { + long cPtr = swigfaissJNI.MaskedInvertedLists_il0_get(swigCPtr, this); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public void setIl1(InvertedLists value) { + swigfaissJNI.MaskedInvertedLists_il1_set(swigCPtr, this, InvertedLists.getCPtr(value), value); + } + + public InvertedLists getIl1() { + long cPtr = swigfaissJNI.MaskedInvertedLists_il1_get(swigCPtr, this); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public MaskedInvertedLists(InvertedLists il0, InvertedLists il1) { + this(swigfaissJNI.new_MaskedInvertedLists(InvertedLists.getCPtr(il0), il0, InvertedLists.getCPtr(il1), il1), true); + } + + public long list_size(long list_no) { + return swigfaissJNI.MaskedInvertedLists_list_size(swigCPtr, this, list_no); + } + + public SWIGTYPE_p_unsigned_char get_codes(long list_no) { + long cPtr = swigfaissJNI.MaskedInvertedLists_get_codes(swigCPtr, this, list_no); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public LongVector get_ids(long list_no) { + return new LongVector(swigfaissJNI.MaskedInvertedLists_get_ids(swigCPtr, this, list_no), false); +} + + public void release_codes(long list_no, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.MaskedInvertedLists_release_codes(swigCPtr, this, list_no, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void release_ids(long list_no, LongVector ids) { + swigfaissJNI.MaskedInvertedLists_release_ids(swigCPtr, this, list_no, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids); + } + + public long get_single_id(long list_no, long offset) { + return swigfaissJNI.MaskedInvertedLists_get_single_id(swigCPtr, this, list_no, offset); +} + + public SWIGTYPE_p_unsigned_char get_single_code(long list_no, long offset) { + long cPtr = swigfaissJNI.MaskedInvertedLists_get_single_code(swigCPtr, this, list_no, offset); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void prefetch_lists(LongVector list_nos, int nlist) { + swigfaissJNI.MaskedInvertedLists_prefetch_lists(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, nlist); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/MetricType.java b/ann/src/main/java/com/twitter/ann/faiss/swig/MetricType.java new file mode 100644 index 000000000..5382e1544 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/MetricType.java @@ -0,0 +1,60 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public final class MetricType { + public final static MetricType METRIC_INNER_PRODUCT = new MetricType("METRIC_INNER_PRODUCT", swigfaissJNI.METRIC_INNER_PRODUCT_get()); + public final static MetricType METRIC_L2 = new MetricType("METRIC_L2", swigfaissJNI.METRIC_L2_get()); + public final static MetricType METRIC_L1 = new MetricType("METRIC_L1"); + public final static MetricType METRIC_Linf = new MetricType("METRIC_Linf"); + public final static MetricType METRIC_Lp = new MetricType("METRIC_Lp"); + public final static MetricType METRIC_Canberra = new MetricType("METRIC_Canberra", swigfaissJNI.METRIC_Canberra_get()); + public final static MetricType METRIC_BrayCurtis = new MetricType("METRIC_BrayCurtis"); + public final static MetricType METRIC_JensenShannon = new MetricType("METRIC_JensenShannon"); + + public final int swigValue() { + return swigValue; + } + + public String toString() { + return swigName; + } + + public static MetricType swigToEnum(int swigValue) { + if (swigValue < swigValues.length && swigValue >= 0 && swigValues[swigValue].swigValue == swigValue) + return swigValues[swigValue]; + for (int i = 0; i < swigValues.length; i++) + if (swigValues[i].swigValue == swigValue) + return swigValues[i]; + throw new IllegalArgumentException("No enum " + MetricType.class + " with value " + swigValue); + } + + private MetricType(String swigName) { + this.swigName = swigName; + this.swigValue = swigNext++; + } + + private MetricType(String swigName, int swigValue) { + this.swigName = swigName; + this.swigValue = swigValue; + swigNext = swigValue+1; + } + + private MetricType(String swigName, MetricType swigEnum) { + this.swigName = swigName; + this.swigValue = swigEnum.swigValue; + swigNext = this.swigValue+1; + } + + private static MetricType[] swigValues = { METRIC_INNER_PRODUCT, METRIC_L2, METRIC_L1, METRIC_Linf, METRIC_Lp, METRIC_Canberra, METRIC_BrayCurtis, METRIC_JensenShannon }; + private static int swigNext = 0; + private final int swigValue; + private final String swigName; +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/MultiIndexQuantizer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/MultiIndexQuantizer.java new file mode 100644 index 000000000..b0ee9c3c4 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/MultiIndexQuantizer.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class MultiIndexQuantizer extends Index { + private transient long swigCPtr; + + protected MultiIndexQuantizer(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.MultiIndexQuantizer_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(MultiIndexQuantizer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_MultiIndexQuantizer(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setPq(ProductQuantizer value) { + swigfaissJNI.MultiIndexQuantizer_pq_set(swigCPtr, this, ProductQuantizer.getCPtr(value), value); + } + + public ProductQuantizer getPq() { + long cPtr = swigfaissJNI.MultiIndexQuantizer_pq_get(swigCPtr, this); + return (cPtr == 0) ? null : new ProductQuantizer(cPtr, false); + } + + public MultiIndexQuantizer(int d, long M, long nbits) { + this(swigfaissJNI.new_MultiIndexQuantizer__SWIG_0(d, M, nbits), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.MultiIndexQuantizer_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.MultiIndexQuantizer_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public void add(long n, SWIGTYPE_p_float x) { + swigfaissJNI.MultiIndexQuantizer_add(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void reset() { + swigfaissJNI.MultiIndexQuantizer_reset(swigCPtr, this); + } + + public MultiIndexQuantizer() { + this(swigfaissJNI.new_MultiIndexQuantizer__SWIG_1(), true); + } + + public void reconstruct(long key, SWIGTYPE_p_float recons) { + swigfaissJNI.MultiIndexQuantizer_reconstruct(swigCPtr, this, key, SWIGTYPE_p_float.getCPtr(recons)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/MultiIndexQuantizer2.java b/ann/src/main/java/com/twitter/ann/faiss/swig/MultiIndexQuantizer2.java new file mode 100644 index 000000000..519c123c4 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/MultiIndexQuantizer2.java @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class MultiIndexQuantizer2 extends MultiIndexQuantizer { + private transient long swigCPtr; + + protected MultiIndexQuantizer2(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.MultiIndexQuantizer2_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(MultiIndexQuantizer2 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_MultiIndexQuantizer2(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setAssign_indexes(SWIGTYPE_p_std__vectorT_faiss__Index_p_t value) { + swigfaissJNI.MultiIndexQuantizer2_assign_indexes_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__Index_p_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__Index_p_t getAssign_indexes() { + long cPtr = swigfaissJNI.MultiIndexQuantizer2_assign_indexes_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__Index_p_t(cPtr, false); + } + + public void setOwn_fields(boolean value) { + swigfaissJNI.MultiIndexQuantizer2_own_fields_set(swigCPtr, this, value); + } + + public boolean getOwn_fields() { + return swigfaissJNI.MultiIndexQuantizer2_own_fields_get(swigCPtr, this); + } + + public MultiIndexQuantizer2(int d, long M, long nbits, SWIGTYPE_p_p_faiss__Index indexes) { + this(swigfaissJNI.new_MultiIndexQuantizer2__SWIG_0(d, M, nbits, SWIGTYPE_p_p_faiss__Index.getCPtr(indexes)), true); + } + + public MultiIndexQuantizer2(int d, long nbits, Index assign_index_0, Index assign_index_1) { + this(swigfaissJNI.new_MultiIndexQuantizer2__SWIG_1(d, nbits, Index.getCPtr(assign_index_0), assign_index_0, Index.getCPtr(assign_index_1), assign_index_1), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.MultiIndexQuantizer2_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void search(long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels) { + swigfaissJNI.MultiIndexQuantizer2_search(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/NormalizationTransform.java b/ann/src/main/java/com/twitter/ann/faiss/swig/NormalizationTransform.java new file mode 100644 index 000000000..aaa38642c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/NormalizationTransform.java @@ -0,0 +1,67 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class NormalizationTransform extends VectorTransform { + private transient long swigCPtr; + + protected NormalizationTransform(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.NormalizationTransform_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(NormalizationTransform obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_NormalizationTransform(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setNorm(float value) { + swigfaissJNI.NormalizationTransform_norm_set(swigCPtr, this, value); + } + + public float getNorm() { + return swigfaissJNI.NormalizationTransform_norm_get(swigCPtr, this); + } + + public NormalizationTransform(int d, float norm) { + this(swigfaissJNI.new_NormalizationTransform__SWIG_0(d, norm), true); + } + + public NormalizationTransform(int d) { + this(swigfaissJNI.new_NormalizationTransform__SWIG_1(d), true); + } + + public NormalizationTransform() { + this(swigfaissJNI.new_NormalizationTransform__SWIG_2(), true); + } + + public void apply_noalloc(long n, SWIGTYPE_p_float x, SWIGTYPE_p_float xt) { + swigfaissJNI.NormalizationTransform_apply_noalloc(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(xt)); + } + + public void reverse_transform(long n, SWIGTYPE_p_float xt, SWIGTYPE_p_float x) { + swigfaissJNI.NormalizationTransform_reverse_transform(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(xt), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/OPQMatrix.java b/ann/src/main/java/com/twitter/ann/faiss/swig/OPQMatrix.java new file mode 100644 index 000000000..fafaf07d9 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/OPQMatrix.java @@ -0,0 +1,116 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class OPQMatrix extends LinearTransform { + private transient long swigCPtr; + + protected OPQMatrix(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.OPQMatrix_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(OPQMatrix obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OPQMatrix(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setM(int value) { + swigfaissJNI.OPQMatrix_M_set(swigCPtr, this, value); + } + + public int getM() { + return swigfaissJNI.OPQMatrix_M_get(swigCPtr, this); + } + + public void setNiter(int value) { + swigfaissJNI.OPQMatrix_niter_set(swigCPtr, this, value); + } + + public int getNiter() { + return swigfaissJNI.OPQMatrix_niter_get(swigCPtr, this); + } + + public void setNiter_pq(int value) { + swigfaissJNI.OPQMatrix_niter_pq_set(swigCPtr, this, value); + } + + public int getNiter_pq() { + return swigfaissJNI.OPQMatrix_niter_pq_get(swigCPtr, this); + } + + public void setNiter_pq_0(int value) { + swigfaissJNI.OPQMatrix_niter_pq_0_set(swigCPtr, this, value); + } + + public int getNiter_pq_0() { + return swigfaissJNI.OPQMatrix_niter_pq_0_get(swigCPtr, this); + } + + public void setMax_train_points(long value) { + swigfaissJNI.OPQMatrix_max_train_points_set(swigCPtr, this, value); + } + + public long getMax_train_points() { + return swigfaissJNI.OPQMatrix_max_train_points_get(swigCPtr, this); + } + + public void setVerbose(boolean value) { + swigfaissJNI.OPQMatrix_verbose_set(swigCPtr, this, value); + } + + public boolean getVerbose() { + return swigfaissJNI.OPQMatrix_verbose_get(swigCPtr, this); + } + + public void setPq(ProductQuantizer value) { + swigfaissJNI.OPQMatrix_pq_set(swigCPtr, this, ProductQuantizer.getCPtr(value), value); + } + + public ProductQuantizer getPq() { + long cPtr = swigfaissJNI.OPQMatrix_pq_get(swigCPtr, this); + return (cPtr == 0) ? null : new ProductQuantizer(cPtr, false); + } + + public OPQMatrix(int d, int M, int d2) { + this(swigfaissJNI.new_OPQMatrix__SWIG_0(d, M, d2), true); + } + + public OPQMatrix(int d, int M) { + this(swigfaissJNI.new_OPQMatrix__SWIG_1(d, M), true); + } + + public OPQMatrix(int d) { + this(swigfaissJNI.new_OPQMatrix__SWIG_2(d), true); + } + + public OPQMatrix() { + this(swigfaissJNI.new_OPQMatrix__SWIG_3(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.OPQMatrix_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskInvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskInvertedLists.java new file mode 100644 index 000000000..94d13f522 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskInvertedLists.java @@ -0,0 +1,251 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class OnDiskInvertedLists extends InvertedLists { + private transient long swigCPtr; + + protected OnDiskInvertedLists(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.OnDiskInvertedLists_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(OnDiskInvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OnDiskInvertedLists(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setLists(SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t value) { + swigfaissJNI.OnDiskInvertedLists_lists_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t getLists() { + long cPtr = swigfaissJNI.OnDiskInvertedLists_lists_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t(cPtr, false); + } + + static public class Slot { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected Slot(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(Slot obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OnDiskInvertedLists_Slot(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setOffset(long value) { + swigfaissJNI.OnDiskInvertedLists_Slot_offset_set(swigCPtr, this, value); + } + + public long getOffset() { + return swigfaissJNI.OnDiskInvertedLists_Slot_offset_get(swigCPtr, this); + } + + public void setCapacity(long value) { + swigfaissJNI.OnDiskInvertedLists_Slot_capacity_set(swigCPtr, this, value); + } + + public long getCapacity() { + return swigfaissJNI.OnDiskInvertedLists_Slot_capacity_get(swigCPtr, this); + } + + public Slot(long offset, long capacity) { + this(swigfaissJNI.new_OnDiskInvertedLists_Slot__SWIG_0(offset, capacity), true); + } + + public Slot() { + this(swigfaissJNI.new_OnDiskInvertedLists_Slot__SWIG_1(), true); + } + + } + + public void setSlots(SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t value) { + swigfaissJNI.OnDiskInvertedLists_slots_set(swigCPtr, this, SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t getSlots() { + long cPtr = swigfaissJNI.OnDiskInvertedLists_slots_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t(cPtr, false); + } + + public void setFilename(String value) { + swigfaissJNI.OnDiskInvertedLists_filename_set(swigCPtr, this, value); + } + + public String getFilename() { + return swigfaissJNI.OnDiskInvertedLists_filename_get(swigCPtr, this); + } + + public void setTotsize(long value) { + swigfaissJNI.OnDiskInvertedLists_totsize_set(swigCPtr, this, value); + } + + public long getTotsize() { + return swigfaissJNI.OnDiskInvertedLists_totsize_get(swigCPtr, this); + } + + public void setPtr(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.OnDiskInvertedLists_ptr_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getPtr() { + long cPtr = swigfaissJNI.OnDiskInvertedLists_ptr_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void setRead_only(boolean value) { + swigfaissJNI.OnDiskInvertedLists_read_only_set(swigCPtr, this, value); + } + + public boolean getRead_only() { + return swigfaissJNI.OnDiskInvertedLists_read_only_get(swigCPtr, this); + } + + public OnDiskInvertedLists(long nlist, long code_size, String filename) { + this(swigfaissJNI.new_OnDiskInvertedLists__SWIG_0(nlist, code_size, filename), true); + } + + public long list_size(long list_no) { + return swigfaissJNI.OnDiskInvertedLists_list_size(swigCPtr, this, list_no); + } + + public SWIGTYPE_p_unsigned_char get_codes(long list_no) { + long cPtr = swigfaissJNI.OnDiskInvertedLists_get_codes(swigCPtr, this, list_no); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public LongVector get_ids(long list_no) { + return new LongVector(swigfaissJNI.OnDiskInvertedLists_get_ids(swigCPtr, this, list_no), false); +} + + public long add_entries(long list_no, long n_entry, LongVector ids, SWIGTYPE_p_unsigned_char code) { + return swigfaissJNI.OnDiskInvertedLists_add_entries(swigCPtr, this, list_no, n_entry, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void update_entries(long list_no, long offset, long n_entry, LongVector ids, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.OnDiskInvertedLists_update_entries(swigCPtr, this, list_no, offset, n_entry, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void resize(long list_no, long new_size) { + swigfaissJNI.OnDiskInvertedLists_resize(swigCPtr, this, list_no, new_size); + } + + public long merge_from(SWIGTYPE_p_p_faiss__InvertedLists ils, int n_il, boolean verbose) { + return swigfaissJNI.OnDiskInvertedLists_merge_from__SWIG_0(swigCPtr, this, SWIGTYPE_p_p_faiss__InvertedLists.getCPtr(ils), n_il, verbose); + } + + public long merge_from(SWIGTYPE_p_p_faiss__InvertedLists ils, int n_il) { + return swigfaissJNI.OnDiskInvertedLists_merge_from__SWIG_1(swigCPtr, this, SWIGTYPE_p_p_faiss__InvertedLists.getCPtr(ils), n_il); + } + + public long merge_from_1(InvertedLists il, boolean verbose) { + return swigfaissJNI.OnDiskInvertedLists_merge_from_1__SWIG_0(swigCPtr, this, InvertedLists.getCPtr(il), il, verbose); + } + + public long merge_from_1(InvertedLists il) { + return swigfaissJNI.OnDiskInvertedLists_merge_from_1__SWIG_1(swigCPtr, this, InvertedLists.getCPtr(il), il); + } + + public void crop_invlists(long l0, long l1) { + swigfaissJNI.OnDiskInvertedLists_crop_invlists(swigCPtr, this, l0, l1); + } + + public void prefetch_lists(LongVector list_nos, int nlist) { + swigfaissJNI.OnDiskInvertedLists_prefetch_lists(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, nlist); + } + + public void setLocks(SWIGTYPE_p_faiss__LockLevels value) { + swigfaissJNI.OnDiskInvertedLists_locks_set(swigCPtr, this, SWIGTYPE_p_faiss__LockLevels.getCPtr(value)); + } + + public SWIGTYPE_p_faiss__LockLevels getLocks() { + long cPtr = swigfaissJNI.OnDiskInvertedLists_locks_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__LockLevels(cPtr, false); + } + + public void setPf(SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch value) { + swigfaissJNI.OnDiskInvertedLists_pf_set(swigCPtr, this, SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch.getCPtr(value)); + } + + public SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch getPf() { + long cPtr = swigfaissJNI.OnDiskInvertedLists_pf_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch(cPtr, false); + } + + public void setPrefetch_nthread(int value) { + swigfaissJNI.OnDiskInvertedLists_prefetch_nthread_set(swigCPtr, this, value); + } + + public int getPrefetch_nthread() { + return swigfaissJNI.OnDiskInvertedLists_prefetch_nthread_get(swigCPtr, this); + } + + public void do_mmap() { + swigfaissJNI.OnDiskInvertedLists_do_mmap(swigCPtr, this); + } + + public void update_totsize(long new_totsize) { + swigfaissJNI.OnDiskInvertedLists_update_totsize(swigCPtr, this, new_totsize); + } + + public void resize_locked(long list_no, long new_size) { + swigfaissJNI.OnDiskInvertedLists_resize_locked(swigCPtr, this, list_no, new_size); + } + + public long allocate_slot(long capacity) { + return swigfaissJNI.OnDiskInvertedLists_allocate_slot(swigCPtr, this, capacity); + } + + public void free_slot(long offset, long capacity) { + swigfaissJNI.OnDiskInvertedLists_free_slot(swigCPtr, this, offset, capacity); + } + + public void set_all_lists_sizes(SWIGTYPE_p_unsigned_long sizes) { + swigfaissJNI.OnDiskInvertedLists_set_all_lists_sizes(swigCPtr, this, SWIGTYPE_p_unsigned_long.getCPtr(sizes)); + } + + public OnDiskInvertedLists() { + this(swigfaissJNI.new_OnDiskInvertedLists__SWIG_1(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskInvertedListsIOHook.java b/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskInvertedListsIOHook.java new file mode 100644 index 000000000..15a2138ee --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskInvertedListsIOHook.java @@ -0,0 +1,57 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class OnDiskInvertedListsIOHook { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected OnDiskInvertedListsIOHook(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(OnDiskInvertedListsIOHook obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OnDiskInvertedListsIOHook(swigCPtr); + } + swigCPtr = 0; + } + } + + public OnDiskInvertedListsIOHook() { + this(swigfaissJNI.new_OnDiskInvertedListsIOHook(), true); + } + + public void write(InvertedLists ils, SWIGTYPE_p_IOWriter f) { + swigfaissJNI.OnDiskInvertedListsIOHook_write(swigCPtr, this, InvertedLists.getCPtr(ils), ils, SWIGTYPE_p_IOWriter.getCPtr(f)); + } + + public InvertedLists read(SWIGTYPE_p_IOReader f, int io_flags) { + long cPtr = swigfaissJNI.OnDiskInvertedListsIOHook_read(swigCPtr, this, SWIGTYPE_p_IOReader.getCPtr(f), io_flags); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public InvertedLists read_ArrayInvertedLists(SWIGTYPE_p_IOReader f, int io_flags, long nlist, long code_size, Uint64Vector sizes) { + long cPtr = swigfaissJNI.OnDiskInvertedListsIOHook_read_ArrayInvertedLists(swigCPtr, this, SWIGTYPE_p_IOReader.getCPtr(f), io_flags, nlist, code_size, Uint64Vector.getCPtr(sizes), sizes); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskOneList.java b/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskOneList.java new file mode 100644 index 000000000..acc2cfae7 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/OnDiskOneList.java @@ -0,0 +1,67 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class OnDiskOneList { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected OnDiskOneList(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(OnDiskOneList obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OnDiskOneList(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setSize(long value) { + swigfaissJNI.OnDiskOneList_size_set(swigCPtr, this, value); + } + + public long getSize() { + return swigfaissJNI.OnDiskOneList_size_get(swigCPtr, this); + } + + public void setCapacity(long value) { + swigfaissJNI.OnDiskOneList_capacity_set(swigCPtr, this, value); + } + + public long getCapacity() { + return swigfaissJNI.OnDiskOneList_capacity_get(swigCPtr, this); + } + + public void setOffset(long value) { + swigfaissJNI.OnDiskOneList_offset_set(swigCPtr, this, value); + } + + public long getOffset() { + return swigfaissJNI.OnDiskOneList_offset_get(swigCPtr, this); + } + + public OnDiskOneList() { + this(swigfaissJNI.new_OnDiskOneList(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/OneRecallAtRCriterion.java b/ann/src/main/java/com/twitter/ann/faiss/swig/OneRecallAtRCriterion.java new file mode 100644 index 000000000..f57214205 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/OneRecallAtRCriterion.java @@ -0,0 +1,55 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class OneRecallAtRCriterion extends AutoTuneCriterion { + private transient long swigCPtr; + + protected OneRecallAtRCriterion(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.OneRecallAtRCriterion_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(OneRecallAtRCriterion obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OneRecallAtRCriterion(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setR(long value) { + swigfaissJNI.OneRecallAtRCriterion_R_set(swigCPtr, this, value); + } + + public long getR() { + return swigfaissJNI.OneRecallAtRCriterion_R_get(swigCPtr, this); +} + + public OneRecallAtRCriterion(long nq, long R) { + this(swigfaissJNI.new_OneRecallAtRCriterion(nq, R), true); + } + + public double evaluate(SWIGTYPE_p_float D, LongVector I) { + return swigfaissJNI.OneRecallAtRCriterion_evaluate(swigCPtr, this, SWIGTYPE_p_float.getCPtr(D), SWIGTYPE_p_long_long.getCPtr(I.data()), I); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPoint.java b/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPoint.java new file mode 100644 index 000000000..ed0f71f5d --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPoint.java @@ -0,0 +1,75 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class OperatingPoint { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected OperatingPoint(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(OperatingPoint obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OperatingPoint(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setPerf(double value) { + swigfaissJNI.OperatingPoint_perf_set(swigCPtr, this, value); + } + + public double getPerf() { + return swigfaissJNI.OperatingPoint_perf_get(swigCPtr, this); + } + + public void setT(double value) { + swigfaissJNI.OperatingPoint_t_set(swigCPtr, this, value); + } + + public double getT() { + return swigfaissJNI.OperatingPoint_t_get(swigCPtr, this); + } + + public void setKey(String value) { + swigfaissJNI.OperatingPoint_key_set(swigCPtr, this, value); + } + + public String getKey() { + return swigfaissJNI.OperatingPoint_key_get(swigCPtr, this); + } + + public void setCno(long value) { + swigfaissJNI.OperatingPoint_cno_set(swigCPtr, this, value); + } + + public long getCno() { + return swigfaissJNI.OperatingPoint_cno_get(swigCPtr, this); +} + + public OperatingPoint() { + this(swigfaissJNI.new_OperatingPoint(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPointVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPointVector.java new file mode 100644 index 000000000..42fab072b --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPointVector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class OperatingPointVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected OperatingPointVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(OperatingPointVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OperatingPointVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public OperatingPointVector() { + this(swigfaissJNI.new_OperatingPointVector(), true); + } + + public void push_back(OperatingPoint arg0) { + swigfaissJNI.OperatingPointVector_push_back(swigCPtr, this, OperatingPoint.getCPtr(arg0), arg0); + } + + public void clear() { + swigfaissJNI.OperatingPointVector_clear(swigCPtr, this); + } + + public OperatingPoint data() { + long cPtr = swigfaissJNI.OperatingPointVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new OperatingPoint(cPtr, false); + } + + public long size() { + return swigfaissJNI.OperatingPointVector_size(swigCPtr, this); + } + + public OperatingPoint at(long n) { + return new OperatingPoint(swigfaissJNI.OperatingPointVector_at(swigCPtr, this, n), true); + } + + public void resize(long n) { + swigfaissJNI.OperatingPointVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.OperatingPointVector_reserve(swigCPtr, this, n); + } + + public void swap(OperatingPointVector other) { + swigfaissJNI.OperatingPointVector_swap(swigCPtr, this, OperatingPointVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPoints.java b/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPoints.java new file mode 100644 index 000000000..036e6730d --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/OperatingPoints.java @@ -0,0 +1,101 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class OperatingPoints { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected OperatingPoints(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(OperatingPoints obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_OperatingPoints(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setAll_pts(OperatingPointVector value) { + swigfaissJNI.OperatingPoints_all_pts_set(swigCPtr, this, OperatingPointVector.getCPtr(value), value); + } + + public OperatingPointVector getAll_pts() { + long cPtr = swigfaissJNI.OperatingPoints_all_pts_get(swigCPtr, this); + return (cPtr == 0) ? null : new OperatingPointVector(cPtr, false); + } + + public void setOptimal_pts(OperatingPointVector value) { + swigfaissJNI.OperatingPoints_optimal_pts_set(swigCPtr, this, OperatingPointVector.getCPtr(value), value); + } + + public OperatingPointVector getOptimal_pts() { + long cPtr = swigfaissJNI.OperatingPoints_optimal_pts_get(swigCPtr, this); + return (cPtr == 0) ? null : new OperatingPointVector(cPtr, false); + } + + public OperatingPoints() { + this(swigfaissJNI.new_OperatingPoints(), true); + } + + public int merge_with(OperatingPoints other, String prefix) { + return swigfaissJNI.OperatingPoints_merge_with__SWIG_0(swigCPtr, this, OperatingPoints.getCPtr(other), other, prefix); + } + + public int merge_with(OperatingPoints other) { + return swigfaissJNI.OperatingPoints_merge_with__SWIG_1(swigCPtr, this, OperatingPoints.getCPtr(other), other); + } + + public void clear() { + swigfaissJNI.OperatingPoints_clear(swigCPtr, this); + } + + public boolean add(double perf, double t, String key, long cno) { + return swigfaissJNI.OperatingPoints_add__SWIG_0(swigCPtr, this, perf, t, key, cno); + } + + public boolean add(double perf, double t, String key) { + return swigfaissJNI.OperatingPoints_add__SWIG_1(swigCPtr, this, perf, t, key); + } + + public double t_for_perf(double perf) { + return swigfaissJNI.OperatingPoints_t_for_perf(swigCPtr, this, perf); + } + + public void display(boolean only_optimal) { + swigfaissJNI.OperatingPoints_display__SWIG_0(swigCPtr, this, only_optimal); + } + + public void display() { + swigfaissJNI.OperatingPoints_display__SWIG_1(swigCPtr, this); + } + + public void all_to_gnuplot(String fname) { + swigfaissJNI.OperatingPoints_all_to_gnuplot(swigCPtr, this, fname); + } + + public void optimal_to_gnuplot(String fname) { + swigfaissJNI.OperatingPoints_optimal_to_gnuplot(swigCPtr, this, fname); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PCAMatrix.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PCAMatrix.java new file mode 100644 index 000000000..caa7864a0 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PCAMatrix.java @@ -0,0 +1,138 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PCAMatrix extends LinearTransform { + private transient long swigCPtr; + + protected PCAMatrix(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.PCAMatrix_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(PCAMatrix obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PCAMatrix(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setEigen_power(float value) { + swigfaissJNI.PCAMatrix_eigen_power_set(swigCPtr, this, value); + } + + public float getEigen_power() { + return swigfaissJNI.PCAMatrix_eigen_power_get(swigCPtr, this); + } + + public void setEpsilon(float value) { + swigfaissJNI.PCAMatrix_epsilon_set(swigCPtr, this, value); + } + + public float getEpsilon() { + return swigfaissJNI.PCAMatrix_epsilon_get(swigCPtr, this); + } + + public void setRandom_rotation(boolean value) { + swigfaissJNI.PCAMatrix_random_rotation_set(swigCPtr, this, value); + } + + public boolean getRandom_rotation() { + return swigfaissJNI.PCAMatrix_random_rotation_get(swigCPtr, this); + } + + public void setMax_points_per_d(long value) { + swigfaissJNI.PCAMatrix_max_points_per_d_set(swigCPtr, this, value); + } + + public long getMax_points_per_d() { + return swigfaissJNI.PCAMatrix_max_points_per_d_get(swigCPtr, this); + } + + public void setBalanced_bins(int value) { + swigfaissJNI.PCAMatrix_balanced_bins_set(swigCPtr, this, value); + } + + public int getBalanced_bins() { + return swigfaissJNI.PCAMatrix_balanced_bins_get(swigCPtr, this); + } + + public void setMean(FloatVector value) { + swigfaissJNI.PCAMatrix_mean_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getMean() { + long cPtr = swigfaissJNI.PCAMatrix_mean_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void setEigenvalues(FloatVector value) { + swigfaissJNI.PCAMatrix_eigenvalues_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getEigenvalues() { + long cPtr = swigfaissJNI.PCAMatrix_eigenvalues_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void setPCAMat(FloatVector value) { + swigfaissJNI.PCAMatrix_PCAMat_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getPCAMat() { + long cPtr = swigfaissJNI.PCAMatrix_PCAMat_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public PCAMatrix(int d_in, int d_out, float eigen_power, boolean random_rotation) { + this(swigfaissJNI.new_PCAMatrix__SWIG_0(d_in, d_out, eigen_power, random_rotation), true); + } + + public PCAMatrix(int d_in, int d_out, float eigen_power) { + this(swigfaissJNI.new_PCAMatrix__SWIG_1(d_in, d_out, eigen_power), true); + } + + public PCAMatrix(int d_in, int d_out) { + this(swigfaissJNI.new_PCAMatrix__SWIG_2(d_in, d_out), true); + } + + public PCAMatrix(int d_in) { + this(swigfaissJNI.new_PCAMatrix__SWIG_3(d_in), true); + } + + public PCAMatrix() { + this(swigfaissJNI.new_PCAMatrix__SWIG_4(), true); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.PCAMatrix_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void copy_from(PCAMatrix other) { + swigfaissJNI.PCAMatrix_copy_from(swigCPtr, this, PCAMatrix.getCPtr(other), other); + } + + public void prepare_Ab() { + swigfaissJNI.PCAMatrix_prepare_Ab(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoder16.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoder16.java new file mode 100644 index 000000000..f40c70814 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoder16.java @@ -0,0 +1,57 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PQDecoder16 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected PQDecoder16(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(PQDecoder16 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PQDecoder16(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setCode(SWIGTYPE_p_uint16_t value) { + swigfaissJNI.PQDecoder16_code_set(swigCPtr, this, SWIGTYPE_p_uint16_t.getCPtr(value)); + } + + public SWIGTYPE_p_uint16_t getCode() { + long cPtr = swigfaissJNI.PQDecoder16_code_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_uint16_t(cPtr, false); + } + + public PQDecoder16(SWIGTYPE_p_unsigned_char code, int nbits) { + this(swigfaissJNI.new_PQDecoder16(SWIGTYPE_p_unsigned_char.getCPtr(code), nbits), true); + } + + public long decode() { + return swigfaissJNI.PQDecoder16_decode(swigCPtr, this); + } + + public final static int nbits = swigfaissJNI.PQDecoder16_nbits_get(); +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoder8.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoder8.java new file mode 100644 index 000000000..ee384cdaf --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoder8.java @@ -0,0 +1,57 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PQDecoder8 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected PQDecoder8(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(PQDecoder8 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PQDecoder8(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setCode(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.PQDecoder8_code_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getCode() { + long cPtr = swigfaissJNI.PQDecoder8_code_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public PQDecoder8(SWIGTYPE_p_unsigned_char code, int nbits) { + this(swigfaissJNI.new_PQDecoder8(SWIGTYPE_p_unsigned_char.getCPtr(code), nbits), true); + } + + public long decode() { + return swigfaissJNI.PQDecoder8_decode(swigCPtr, this); + } + + public final static int nbits = swigfaissJNI.PQDecoder8_nbits_get(); +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoderGeneric.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoderGeneric.java new file mode 100644 index 000000000..487b48a0f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PQDecoderGeneric.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PQDecoderGeneric { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected PQDecoderGeneric(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(PQDecoderGeneric obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PQDecoderGeneric(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setCode(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.PQDecoderGeneric_code_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getCode() { + long cPtr = swigfaissJNI.PQDecoderGeneric_code_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void setOffset(short value) { + swigfaissJNI.PQDecoderGeneric_offset_set(swigCPtr, this, value); + } + + public short getOffset() { + return swigfaissJNI.PQDecoderGeneric_offset_get(swigCPtr, this); + } + + public int getNbits() { + return swigfaissJNI.PQDecoderGeneric_nbits_get(swigCPtr, this); + } + + public long getMask() { + return swigfaissJNI.PQDecoderGeneric_mask_get(swigCPtr, this); + } + + public void setReg(short value) { + swigfaissJNI.PQDecoderGeneric_reg_set(swigCPtr, this, value); + } + + public short getReg() { + return swigfaissJNI.PQDecoderGeneric_reg_get(swigCPtr, this); + } + + public PQDecoderGeneric(SWIGTYPE_p_unsigned_char code, int nbits) { + this(swigfaissJNI.new_PQDecoderGeneric(SWIGTYPE_p_unsigned_char.getCPtr(code), nbits), true); + } + + public long decode() { + return swigfaissJNI.PQDecoderGeneric_decode(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoder16.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoder16.java new file mode 100644 index 000000000..56727e772 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoder16.java @@ -0,0 +1,56 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PQEncoder16 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected PQEncoder16(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(PQEncoder16 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PQEncoder16(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setCode(SWIGTYPE_p_uint16_t value) { + swigfaissJNI.PQEncoder16_code_set(swigCPtr, this, SWIGTYPE_p_uint16_t.getCPtr(value)); + } + + public SWIGTYPE_p_uint16_t getCode() { + long cPtr = swigfaissJNI.PQEncoder16_code_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_uint16_t(cPtr, false); + } + + public PQEncoder16(SWIGTYPE_p_unsigned_char code, int nbits) { + this(swigfaissJNI.new_PQEncoder16(SWIGTYPE_p_unsigned_char.getCPtr(code), nbits), true); + } + + public void encode(long x) { + swigfaissJNI.PQEncoder16_encode(swigCPtr, this, x); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoder8.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoder8.java new file mode 100644 index 000000000..fdb0fac47 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoder8.java @@ -0,0 +1,56 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PQEncoder8 { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected PQEncoder8(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(PQEncoder8 obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PQEncoder8(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setCode(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.PQEncoder8_code_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getCode() { + long cPtr = swigfaissJNI.PQEncoder8_code_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public PQEncoder8(SWIGTYPE_p_unsigned_char code, int nbits) { + this(swigfaissJNI.new_PQEncoder8(SWIGTYPE_p_unsigned_char.getCPtr(code), nbits), true); + } + + public void encode(long x) { + swigfaissJNI.PQEncoder8_encode(swigCPtr, this, x); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoderGeneric.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoderGeneric.java new file mode 100644 index 000000000..682f526cf --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PQEncoderGeneric.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PQEncoderGeneric { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected PQEncoderGeneric(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(PQEncoderGeneric obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PQEncoderGeneric(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setCode(SWIGTYPE_p_unsigned_char value) { + swigfaissJNI.PQEncoderGeneric_code_set(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_char getCode() { + long cPtr = swigfaissJNI.PQEncoderGeneric_code_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void setOffset(short value) { + swigfaissJNI.PQEncoderGeneric_offset_set(swigCPtr, this, value); + } + + public short getOffset() { + return swigfaissJNI.PQEncoderGeneric_offset_get(swigCPtr, this); + } + + public int getNbits() { + return swigfaissJNI.PQEncoderGeneric_nbits_get(swigCPtr, this); + } + + public void setReg(short value) { + swigfaissJNI.PQEncoderGeneric_reg_set(swigCPtr, this, value); + } + + public short getReg() { + return swigfaissJNI.PQEncoderGeneric_reg_get(swigCPtr, this); + } + + public PQEncoderGeneric(SWIGTYPE_p_unsigned_char code, int nbits, short offset) { + this(swigfaissJNI.new_PQEncoderGeneric__SWIG_0(SWIGTYPE_p_unsigned_char.getCPtr(code), nbits, offset), true); + } + + public PQEncoderGeneric(SWIGTYPE_p_unsigned_char code, int nbits) { + this(swigfaissJNI.new_PQEncoderGeneric__SWIG_1(SWIGTYPE_p_unsigned_char.getCPtr(code), nbits), true); + } + + public void encode(long x) { + swigfaissJNI.PQEncoderGeneric_encode(swigCPtr, this, x); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ParameterRange.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ParameterRange.java new file mode 100644 index 000000000..4f6643dae --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ParameterRange.java @@ -0,0 +1,60 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ParameterRange { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ParameterRange(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ParameterRange obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ParameterRange(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setName(String value) { + swigfaissJNI.ParameterRange_name_set(swigCPtr, this, value); + } + + public String getName() { + return swigfaissJNI.ParameterRange_name_get(swigCPtr, this); + } + + public void setValues(DoubleVector value) { + swigfaissJNI.ParameterRange_values_set(swigCPtr, this, DoubleVector.getCPtr(value), value); + } + + public DoubleVector getValues() { + long cPtr = swigfaissJNI.ParameterRange_values_get(swigCPtr, this); + return (cPtr == 0) ? null : new DoubleVector(cPtr, false); + } + + public ParameterRange() { + this(swigfaissJNI.new_ParameterRange(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ParameterSpace.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ParameterSpace.java new file mode 100644 index 000000000..210509c38 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ParameterSpace.java @@ -0,0 +1,136 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ParameterSpace { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ParameterSpace(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ParameterSpace obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ParameterSpace(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setParameter_ranges(SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t value) { + swigfaissJNI.ParameterSpace_parameter_ranges_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t getParameter_ranges() { + long cPtr = swigfaissJNI.ParameterSpace_parameter_ranges_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t(cPtr, false); + } + + public void setVerbose(int value) { + swigfaissJNI.ParameterSpace_verbose_set(swigCPtr, this, value); + } + + public int getVerbose() { + return swigfaissJNI.ParameterSpace_verbose_get(swigCPtr, this); + } + + public void setN_experiments(int value) { + swigfaissJNI.ParameterSpace_n_experiments_set(swigCPtr, this, value); + } + + public int getN_experiments() { + return swigfaissJNI.ParameterSpace_n_experiments_get(swigCPtr, this); + } + + public void setBatchsize(long value) { + swigfaissJNI.ParameterSpace_batchsize_set(swigCPtr, this, value); + } + + public long getBatchsize() { + return swigfaissJNI.ParameterSpace_batchsize_get(swigCPtr, this); + } + + public void setThread_over_batches(boolean value) { + swigfaissJNI.ParameterSpace_thread_over_batches_set(swigCPtr, this, value); + } + + public boolean getThread_over_batches() { + return swigfaissJNI.ParameterSpace_thread_over_batches_get(swigCPtr, this); + } + + public void setMin_test_duration(double value) { + swigfaissJNI.ParameterSpace_min_test_duration_set(swigCPtr, this, value); + } + + public double getMin_test_duration() { + return swigfaissJNI.ParameterSpace_min_test_duration_get(swigCPtr, this); + } + + public ParameterSpace() { + this(swigfaissJNI.new_ParameterSpace(), true); + } + + public long n_combinations() { + return swigfaissJNI.ParameterSpace_n_combinations(swigCPtr, this); + } + + public boolean combination_ge(long c1, long c2) { + return swigfaissJNI.ParameterSpace_combination_ge(swigCPtr, this, c1, c2); + } + + public String combination_name(long cno) { + return swigfaissJNI.ParameterSpace_combination_name(swigCPtr, this, cno); + } + + public void display() { + swigfaissJNI.ParameterSpace_display(swigCPtr, this); + } + + public ParameterRange add_range(String name) { + return new ParameterRange(swigfaissJNI.ParameterSpace_add_range(swigCPtr, this, name), false); + } + + public void initialize(Index index) { + swigfaissJNI.ParameterSpace_initialize(swigCPtr, this, Index.getCPtr(index), index); + } + + public void set_index_parameters(Index index, long cno) { + swigfaissJNI.ParameterSpace_set_index_parameters__SWIG_0(swigCPtr, this, Index.getCPtr(index), index, cno); + } + + public void set_index_parameters(Index index, String param_string) { + swigfaissJNI.ParameterSpace_set_index_parameters__SWIG_1(swigCPtr, this, Index.getCPtr(index), index, param_string); + } + + public void set_index_parameter(Index index, String name, double val) { + swigfaissJNI.ParameterSpace_set_index_parameter(swigCPtr, this, Index.getCPtr(index), index, name, val); + } + + public void update_bounds(long cno, OperatingPoint op, SWIGTYPE_p_double upper_bound_perf, SWIGTYPE_p_double lower_bound_t) { + swigfaissJNI.ParameterSpace_update_bounds(swigCPtr, this, cno, OperatingPoint.getCPtr(op), op, SWIGTYPE_p_double.getCPtr(upper_bound_perf), SWIGTYPE_p_double.getCPtr(lower_bound_t)); + } + + public void explore(Index index, long nq, SWIGTYPE_p_float xq, AutoTuneCriterion crit, OperatingPoints ops) { + swigfaissJNI.ParameterSpace_explore(swigCPtr, this, Index.getCPtr(index), index, nq, SWIGTYPE_p_float.getCPtr(xq), AutoTuneCriterion.getCPtr(crit), crit, OperatingPoints.getCPtr(ops), ops); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PartitionStats.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PartitionStats.java new file mode 100644 index 000000000..ea9038771 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PartitionStats.java @@ -0,0 +1,63 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PartitionStats { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected PartitionStats(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(PartitionStats obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PartitionStats(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setBissect_cycles(long value) { + swigfaissJNI.PartitionStats_bissect_cycles_set(swigCPtr, this, value); + } + + public long getBissect_cycles() { + return swigfaissJNI.PartitionStats_bissect_cycles_get(swigCPtr, this); + } + + public void setCompress_cycles(long value) { + swigfaissJNI.PartitionStats_compress_cycles_set(swigCPtr, this, value); + } + + public long getCompress_cycles() { + return swigfaissJNI.PartitionStats_compress_cycles_get(swigCPtr, this); + } + + public PartitionStats() { + this(swigfaissJNI.new_PartitionStats(), true); + } + + public void reset() { + swigfaissJNI.PartitionStats_reset(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PermutationObjective.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PermutationObjective.java new file mode 100644 index 000000000..5a6d0b54c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PermutationObjective.java @@ -0,0 +1,55 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PermutationObjective { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected PermutationObjective(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(PermutationObjective obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PermutationObjective(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setN(int value) { + swigfaissJNI.PermutationObjective_n_set(swigCPtr, this, value); + } + + public int getN() { + return swigfaissJNI.PermutationObjective_n_get(swigCPtr, this); + } + + public double compute_cost(SWIGTYPE_p_int perm) { + return swigfaissJNI.PermutationObjective_compute_cost(swigCPtr, this, SWIGTYPE_p_int.getCPtr(perm)); + } + + public double cost_update(SWIGTYPE_p_int perm, int iw, int jw) { + return swigfaissJNI.PermutationObjective_cost_update(swigCPtr, this, SWIGTYPE_p_int.getCPtr(perm), iw, jw); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/PolysemousTraining.java b/ann/src/main/java/com/twitter/ann/faiss/swig/PolysemousTraining.java new file mode 100644 index 000000000..d65dcfeb8 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/PolysemousTraining.java @@ -0,0 +1,144 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class PolysemousTraining extends SimulatedAnnealingParameters { + private transient long swigCPtr; + + protected PolysemousTraining(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.PolysemousTraining_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(PolysemousTraining obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_PolysemousTraining(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setOptimization_type(PolysemousTraining.Optimization_type_t value) { + swigfaissJNI.PolysemousTraining_optimization_type_set(swigCPtr, this, value.swigValue()); + } + + public PolysemousTraining.Optimization_type_t getOptimization_type() { + return PolysemousTraining.Optimization_type_t.swigToEnum(swigfaissJNI.PolysemousTraining_optimization_type_get(swigCPtr, this)); + } + + public void setNtrain_permutation(int value) { + swigfaissJNI.PolysemousTraining_ntrain_permutation_set(swigCPtr, this, value); + } + + public int getNtrain_permutation() { + return swigfaissJNI.PolysemousTraining_ntrain_permutation_get(swigCPtr, this); + } + + public void setDis_weight_factor(double value) { + swigfaissJNI.PolysemousTraining_dis_weight_factor_set(swigCPtr, this, value); + } + + public double getDis_weight_factor() { + return swigfaissJNI.PolysemousTraining_dis_weight_factor_get(swigCPtr, this); + } + + public void setMax_memory(long value) { + swigfaissJNI.PolysemousTraining_max_memory_set(swigCPtr, this, value); + } + + public long getMax_memory() { + return swigfaissJNI.PolysemousTraining_max_memory_get(swigCPtr, this); + } + + public void setLog_pattern(String value) { + swigfaissJNI.PolysemousTraining_log_pattern_set(swigCPtr, this, value); + } + + public String getLog_pattern() { + return swigfaissJNI.PolysemousTraining_log_pattern_get(swigCPtr, this); + } + + public PolysemousTraining() { + this(swigfaissJNI.new_PolysemousTraining(), true); + } + + public void optimize_pq_for_hamming(ProductQuantizer pq, long n, SWIGTYPE_p_float x) { + swigfaissJNI.PolysemousTraining_optimize_pq_for_hamming(swigCPtr, this, ProductQuantizer.getCPtr(pq), pq, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void optimize_ranking(ProductQuantizer pq, long n, SWIGTYPE_p_float x) { + swigfaissJNI.PolysemousTraining_optimize_ranking(swigCPtr, this, ProductQuantizer.getCPtr(pq), pq, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public void optimize_reproduce_distances(ProductQuantizer pq) { + swigfaissJNI.PolysemousTraining_optimize_reproduce_distances(swigCPtr, this, ProductQuantizer.getCPtr(pq), pq); + } + + public long memory_usage_per_thread(ProductQuantizer pq) { + return swigfaissJNI.PolysemousTraining_memory_usage_per_thread(swigCPtr, this, ProductQuantizer.getCPtr(pq), pq); + } + + public final static class Optimization_type_t { + public final static PolysemousTraining.Optimization_type_t OT_None = new PolysemousTraining.Optimization_type_t("OT_None"); + public final static PolysemousTraining.Optimization_type_t OT_ReproduceDistances_affine = new PolysemousTraining.Optimization_type_t("OT_ReproduceDistances_affine"); + public final static PolysemousTraining.Optimization_type_t OT_Ranking_weighted_diff = new PolysemousTraining.Optimization_type_t("OT_Ranking_weighted_diff"); + + public final int swigValue() { + return swigValue; + } + + public String toString() { + return swigName; + } + + public static Optimization_type_t swigToEnum(int swigValue) { + if (swigValue < swigValues.length && swigValue >= 0 && swigValues[swigValue].swigValue == swigValue) + return swigValues[swigValue]; + for (int i = 0; i < swigValues.length; i++) + if (swigValues[i].swigValue == swigValue) + return swigValues[i]; + throw new IllegalArgumentException("No enum " + Optimization_type_t.class + " with value " + swigValue); + } + + private Optimization_type_t(String swigName) { + this.swigName = swigName; + this.swigValue = swigNext++; + } + + private Optimization_type_t(String swigName, int swigValue) { + this.swigName = swigName; + this.swigValue = swigValue; + swigNext = swigValue+1; + } + + private Optimization_type_t(String swigName, Optimization_type_t swigEnum) { + this.swigName = swigName; + this.swigValue = swigEnum.swigValue; + swigNext = this.swigValue+1; + } + + private static Optimization_type_t[] swigValues = { OT_None, OT_ReproduceDistances_affine, OT_Ranking_weighted_diff }; + private static int swigNext = 0; + private final int swigValue; + private final String swigName; + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ProductQuantizer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ProductQuantizer.java new file mode 100644 index 000000000..0249e29e3 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ProductQuantizer.java @@ -0,0 +1,279 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ProductQuantizer { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ProductQuantizer(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ProductQuantizer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ProductQuantizer(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setD(long value) { + swigfaissJNI.ProductQuantizer_d_set(swigCPtr, this, value); + } + + public long getD() { + return swigfaissJNI.ProductQuantizer_d_get(swigCPtr, this); + } + + public void setM(long value) { + swigfaissJNI.ProductQuantizer_M_set(swigCPtr, this, value); + } + + public long getM() { + return swigfaissJNI.ProductQuantizer_M_get(swigCPtr, this); + } + + public void setNbits(long value) { + swigfaissJNI.ProductQuantizer_nbits_set(swigCPtr, this, value); + } + + public long getNbits() { + return swigfaissJNI.ProductQuantizer_nbits_get(swigCPtr, this); + } + + public void setDsub(long value) { + swigfaissJNI.ProductQuantizer_dsub_set(swigCPtr, this, value); + } + + public long getDsub() { + return swigfaissJNI.ProductQuantizer_dsub_get(swigCPtr, this); + } + + public void setCode_size(long value) { + swigfaissJNI.ProductQuantizer_code_size_set(swigCPtr, this, value); + } + + public long getCode_size() { + return swigfaissJNI.ProductQuantizer_code_size_get(swigCPtr, this); + } + + public void setKsub(long value) { + swigfaissJNI.ProductQuantizer_ksub_set(swigCPtr, this, value); + } + + public long getKsub() { + return swigfaissJNI.ProductQuantizer_ksub_get(swigCPtr, this); + } + + public void setVerbose(boolean value) { + swigfaissJNI.ProductQuantizer_verbose_set(swigCPtr, this, value); + } + + public boolean getVerbose() { + return swigfaissJNI.ProductQuantizer_verbose_get(swigCPtr, this); + } + + public void setTrain_type(ProductQuantizer.train_type_t value) { + swigfaissJNI.ProductQuantizer_train_type_set(swigCPtr, this, value.swigValue()); + } + + public ProductQuantizer.train_type_t getTrain_type() { + return ProductQuantizer.train_type_t.swigToEnum(swigfaissJNI.ProductQuantizer_train_type_get(swigCPtr, this)); + } + + public void setCp(ClusteringParameters value) { + swigfaissJNI.ProductQuantizer_cp_set(swigCPtr, this, ClusteringParameters.getCPtr(value), value); + } + + public ClusteringParameters getCp() { + long cPtr = swigfaissJNI.ProductQuantizer_cp_get(swigCPtr, this); + return (cPtr == 0) ? null : new ClusteringParameters(cPtr, false); + } + + public void setAssign_index(Index value) { + swigfaissJNI.ProductQuantizer_assign_index_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getAssign_index() { + long cPtr = swigfaissJNI.ProductQuantizer_assign_index_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void setCentroids(FloatVector value) { + swigfaissJNI.ProductQuantizer_centroids_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getCentroids() { + long cPtr = swigfaissJNI.ProductQuantizer_centroids_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public SWIGTYPE_p_float get_centroids(long m, long i) { + long cPtr = swigfaissJNI.ProductQuantizer_get_centroids(swigCPtr, this, m, i); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public void train(int n, SWIGTYPE_p_float x) { + swigfaissJNI.ProductQuantizer_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public ProductQuantizer(long d, long M, long nbits) { + this(swigfaissJNI.new_ProductQuantizer__SWIG_0(d, M, nbits), true); + } + + public ProductQuantizer() { + this(swigfaissJNI.new_ProductQuantizer__SWIG_1(), true); + } + + public void set_derived_values() { + swigfaissJNI.ProductQuantizer_set_derived_values(swigCPtr, this); + } + + public void set_params(SWIGTYPE_p_float centroids, int m) { + swigfaissJNI.ProductQuantizer_set_params(swigCPtr, this, SWIGTYPE_p_float.getCPtr(centroids), m); + } + + public void compute_code(SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.ProductQuantizer_compute_code(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void compute_codes(SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char codes, long n) { + swigfaissJNI.ProductQuantizer_compute_codes(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(codes), n); + } + + public void compute_codes_with_assign_index(SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char codes, long n) { + swigfaissJNI.ProductQuantizer_compute_codes_with_assign_index(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(codes), n); + } + + public void decode(SWIGTYPE_p_unsigned_char code, SWIGTYPE_p_float x) { + swigfaissJNI.ProductQuantizer_decode__SWIG_0(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(code), SWIGTYPE_p_float.getCPtr(x)); + } + + public void decode(SWIGTYPE_p_unsigned_char code, SWIGTYPE_p_float x, long n) { + swigfaissJNI.ProductQuantizer_decode__SWIG_1(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(code), SWIGTYPE_p_float.getCPtr(x), n); + } + + public void compute_code_from_distance_table(SWIGTYPE_p_float tab, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.ProductQuantizer_compute_code_from_distance_table(swigCPtr, this, SWIGTYPE_p_float.getCPtr(tab), SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void compute_distance_table(SWIGTYPE_p_float x, SWIGTYPE_p_float dis_table) { + swigfaissJNI.ProductQuantizer_compute_distance_table(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(dis_table)); + } + + public void compute_inner_prod_table(SWIGTYPE_p_float x, SWIGTYPE_p_float dis_table) { + swigfaissJNI.ProductQuantizer_compute_inner_prod_table(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(dis_table)); + } + + public void compute_distance_tables(long nx, SWIGTYPE_p_float x, SWIGTYPE_p_float dis_tables) { + swigfaissJNI.ProductQuantizer_compute_distance_tables(swigCPtr, this, nx, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(dis_tables)); + } + + public void compute_inner_prod_tables(long nx, SWIGTYPE_p_float x, SWIGTYPE_p_float dis_tables) { + swigfaissJNI.ProductQuantizer_compute_inner_prod_tables(swigCPtr, this, nx, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(dis_tables)); + } + + public void search(SWIGTYPE_p_float x, long nx, SWIGTYPE_p_unsigned_char codes, long ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t res, boolean init_finalize_heap) { + swigfaissJNI.ProductQuantizer_search__SWIG_0(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), nx, SWIGTYPE_p_unsigned_char.getCPtr(codes), ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t.getCPtr(res), init_finalize_heap); + } + + public void search(SWIGTYPE_p_float x, long nx, SWIGTYPE_p_unsigned_char codes, long ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t res) { + swigfaissJNI.ProductQuantizer_search__SWIG_1(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), nx, SWIGTYPE_p_unsigned_char.getCPtr(codes), ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t.getCPtr(res)); + } + + public void search_ip(SWIGTYPE_p_float x, long nx, SWIGTYPE_p_unsigned_char codes, long ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t res, boolean init_finalize_heap) { + swigfaissJNI.ProductQuantizer_search_ip__SWIG_0(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), nx, SWIGTYPE_p_unsigned_char.getCPtr(codes), ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t.getCPtr(res), init_finalize_heap); + } + + public void search_ip(SWIGTYPE_p_float x, long nx, SWIGTYPE_p_unsigned_char codes, long ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t res) { + swigfaissJNI.ProductQuantizer_search_ip__SWIG_1(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), nx, SWIGTYPE_p_unsigned_char.getCPtr(codes), ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t.getCPtr(res)); + } + + public void setSdc_table(FloatVector value) { + swigfaissJNI.ProductQuantizer_sdc_table_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getSdc_table() { + long cPtr = swigfaissJNI.ProductQuantizer_sdc_table_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void compute_sdc_table() { + swigfaissJNI.ProductQuantizer_compute_sdc_table(swigCPtr, this); + } + + public void search_sdc(SWIGTYPE_p_unsigned_char qcodes, long nq, SWIGTYPE_p_unsigned_char bcodes, long ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t res, boolean init_finalize_heap) { + swigfaissJNI.ProductQuantizer_search_sdc__SWIG_0(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(qcodes), nq, SWIGTYPE_p_unsigned_char.getCPtr(bcodes), ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t.getCPtr(res), init_finalize_heap); + } + + public void search_sdc(SWIGTYPE_p_unsigned_char qcodes, long nq, SWIGTYPE_p_unsigned_char bcodes, long ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t res) { + swigfaissJNI.ProductQuantizer_search_sdc__SWIG_1(swigCPtr, this, SWIGTYPE_p_unsigned_char.getCPtr(qcodes), nq, SWIGTYPE_p_unsigned_char.getCPtr(bcodes), ncodes, SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t.getCPtr(res)); + } + + public final static class train_type_t { + public final static ProductQuantizer.train_type_t Train_default = new ProductQuantizer.train_type_t("Train_default"); + public final static ProductQuantizer.train_type_t Train_hot_start = new ProductQuantizer.train_type_t("Train_hot_start"); + public final static ProductQuantizer.train_type_t Train_shared = new ProductQuantizer.train_type_t("Train_shared"); + public final static ProductQuantizer.train_type_t Train_hypercube = new ProductQuantizer.train_type_t("Train_hypercube"); + public final static ProductQuantizer.train_type_t Train_hypercube_pca = new ProductQuantizer.train_type_t("Train_hypercube_pca"); + + public final int swigValue() { + return swigValue; + } + + public String toString() { + return swigName; + } + + public static train_type_t swigToEnum(int swigValue) { + if (swigValue < swigValues.length && swigValue >= 0 && swigValues[swigValue].swigValue == swigValue) + return swigValues[swigValue]; + for (int i = 0; i < swigValues.length; i++) + if (swigValues[i].swigValue == swigValue) + return swigValues[i]; + throw new IllegalArgumentException("No enum " + train_type_t.class + " with value " + swigValue); + } + + private train_type_t(String swigName) { + this.swigName = swigName; + this.swigValue = swigNext++; + } + + private train_type_t(String swigName, int swigValue) { + this.swigName = swigName; + this.swigValue = swigValue; + swigNext = swigValue+1; + } + + private train_type_t(String swigName, train_type_t swigEnum) { + this.swigName = swigName; + this.swigValue = swigEnum.swigValue; + swigNext = this.swigValue+1; + } + + private static train_type_t[] swigValues = { Train_default, Train_hot_start, Train_shared, Train_hypercube, Train_hypercube_pca }; + private static int swigNext = 0; + private final int swigValue; + private final String swigName; + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimClustering.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimClustering.java new file mode 100644 index 000000000..2fbd8e406 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimClustering.java @@ -0,0 +1,85 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ProgressiveDimClustering extends ProgressiveDimClusteringParameters { + private transient long swigCPtr; + + protected ProgressiveDimClustering(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.ProgressiveDimClustering_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(ProgressiveDimClustering obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ProgressiveDimClustering(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setD(long value) { + swigfaissJNI.ProgressiveDimClustering_d_set(swigCPtr, this, value); + } + + public long getD() { + return swigfaissJNI.ProgressiveDimClustering_d_get(swigCPtr, this); + } + + public void setK(long value) { + swigfaissJNI.ProgressiveDimClustering_k_set(swigCPtr, this, value); + } + + public long getK() { + return swigfaissJNI.ProgressiveDimClustering_k_get(swigCPtr, this); + } + + public void setCentroids(FloatVector value) { + swigfaissJNI.ProgressiveDimClustering_centroids_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getCentroids() { + long cPtr = swigfaissJNI.ProgressiveDimClustering_centroids_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void setIteration_stats(SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t value) { + swigfaissJNI.ProgressiveDimClustering_iteration_stats_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t getIteration_stats() { + long cPtr = swigfaissJNI.ProgressiveDimClustering_iteration_stats_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t(cPtr, false); + } + + public ProgressiveDimClustering(int d, int k) { + this(swigfaissJNI.new_ProgressiveDimClustering__SWIG_0(d, k), true); + } + + public ProgressiveDimClustering(int d, int k, ProgressiveDimClusteringParameters cp) { + this(swigfaissJNI.new_ProgressiveDimClustering__SWIG_1(d, k, ProgressiveDimClusteringParameters.getCPtr(cp), cp), true); + } + + public void train(long n, SWIGTYPE_p_float x, ProgressiveDimIndexFactory factory) { + swigfaissJNI.ProgressiveDimClustering_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), ProgressiveDimIndexFactory.getCPtr(factory), factory); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimClusteringParameters.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimClusteringParameters.java new file mode 100644 index 000000000..927c92c18 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimClusteringParameters.java @@ -0,0 +1,59 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ProgressiveDimClusteringParameters extends ClusteringParameters { + private transient long swigCPtr; + + protected ProgressiveDimClusteringParameters(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.ProgressiveDimClusteringParameters_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(ProgressiveDimClusteringParameters obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ProgressiveDimClusteringParameters(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setProgressive_dim_steps(int value) { + swigfaissJNI.ProgressiveDimClusteringParameters_progressive_dim_steps_set(swigCPtr, this, value); + } + + public int getProgressive_dim_steps() { + return swigfaissJNI.ProgressiveDimClusteringParameters_progressive_dim_steps_get(swigCPtr, this); + } + + public void setApply_pca(boolean value) { + swigfaissJNI.ProgressiveDimClusteringParameters_apply_pca_set(swigCPtr, this, value); + } + + public boolean getApply_pca() { + return swigfaissJNI.ProgressiveDimClusteringParameters_apply_pca_get(swigCPtr, this); + } + + public ProgressiveDimClusteringParameters() { + this(swigfaissJNI.new_ProgressiveDimClusteringParameters(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimIndexFactory.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimIndexFactory.java new file mode 100644 index 000000000..d01483ca9 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ProgressiveDimIndexFactory.java @@ -0,0 +1,43 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ProgressiveDimIndexFactory { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ProgressiveDimIndexFactory(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ProgressiveDimIndexFactory obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ProgressiveDimIndexFactory(swigCPtr); + } + swigCPtr = 0; + } + } + + public ProgressiveDimIndexFactory() { + this(swigfaissJNI.new_ProgressiveDimIndexFactory(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/RandomRotationMatrix.java b/ann/src/main/java/com/twitter/ann/faiss/swig/RandomRotationMatrix.java new file mode 100644 index 000000000..104487d46 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/RandomRotationMatrix.java @@ -0,0 +1,55 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class RandomRotationMatrix extends LinearTransform { + private transient long swigCPtr; + + protected RandomRotationMatrix(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.RandomRotationMatrix_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(RandomRotationMatrix obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_RandomRotationMatrix(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public RandomRotationMatrix(int d_in, int d_out) { + this(swigfaissJNI.new_RandomRotationMatrix__SWIG_0(d_in, d_out), true); + } + + public void init(int seed) { + swigfaissJNI.RandomRotationMatrix_init(swigCPtr, this, seed); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.RandomRotationMatrix_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public RandomRotationMatrix() { + this(swigfaissJNI.new_RandomRotationMatrix__SWIG_1(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/RangeQueryResult.java b/ann/src/main/java/com/twitter/ann/faiss/swig/RangeQueryResult.java new file mode 100644 index 000000000..83fb5e284 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/RangeQueryResult.java @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class RangeQueryResult { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected RangeQueryResult(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(RangeQueryResult obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_RangeQueryResult(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setQno(long value) { + swigfaissJNI.RangeQueryResult_qno_set(swigCPtr, this, value); + } + + public long getQno() { + return swigfaissJNI.RangeQueryResult_qno_get(swigCPtr, this); +} + + public void setNres(long value) { + swigfaissJNI.RangeQueryResult_nres_set(swigCPtr, this, value); + } + + public long getNres() { + return swigfaissJNI.RangeQueryResult_nres_get(swigCPtr, this); + } + + public void setPres(RangeSearchPartialResult value) { + swigfaissJNI.RangeQueryResult_pres_set(swigCPtr, this, RangeSearchPartialResult.getCPtr(value), value); + } + + public RangeSearchPartialResult getPres() { + long cPtr = swigfaissJNI.RangeQueryResult_pres_get(swigCPtr, this); + return (cPtr == 0) ? null : new RangeSearchPartialResult(cPtr, false); + } + + public void add(float dis, long id) { + swigfaissJNI.RangeQueryResult_add(swigCPtr, this, dis, id); + } + + public RangeQueryResult() { + this(swigfaissJNI.new_RangeQueryResult(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/RangeSearchPartialResult.java b/ann/src/main/java/com/twitter/ann/faiss/swig/RangeSearchPartialResult.java new file mode 100644 index 000000000..b7348762a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/RangeSearchPartialResult.java @@ -0,0 +1,81 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class RangeSearchPartialResult extends BufferList { + private transient long swigCPtr; + + protected RangeSearchPartialResult(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.RangeSearchPartialResult_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(RangeSearchPartialResult obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_RangeSearchPartialResult(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setRes(RangeSearchResult value) { + swigfaissJNI.RangeSearchPartialResult_res_set(swigCPtr, this, RangeSearchResult.getCPtr(value), value); + } + + public RangeSearchResult getRes() { + long cPtr = swigfaissJNI.RangeSearchPartialResult_res_get(swigCPtr, this); + return (cPtr == 0) ? null : new RangeSearchResult(cPtr, false); + } + + public void setQueries(SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t value) { + swigfaissJNI.RangeSearchPartialResult_queries_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t getQueries() { + long cPtr = swigfaissJNI.RangeSearchPartialResult_queries_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t(cPtr, false); + } + + public RangeQueryResult new_result(long qno) { + return new RangeQueryResult(swigfaissJNI.RangeSearchPartialResult_new_result(swigCPtr, this, qno), false); + } + + public void set_lims() { + swigfaissJNI.RangeSearchPartialResult_set_lims(swigCPtr, this); + } + + public void copy_result(boolean incremental) { + swigfaissJNI.RangeSearchPartialResult_copy_result__SWIG_0(swigCPtr, this, incremental); + } + + public void copy_result() { + swigfaissJNI.RangeSearchPartialResult_copy_result__SWIG_1(swigCPtr, this); + } + + public static void merge(SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t partial_results, boolean do_delete) { + swigfaissJNI.RangeSearchPartialResult_merge__SWIG_0(SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t.getCPtr(partial_results), do_delete); + } + + public static void merge(SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t partial_results) { + swigfaissJNI.RangeSearchPartialResult_merge__SWIG_1(SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t.getCPtr(partial_results)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/RangeSearchResult.java b/ann/src/main/java/com/twitter/ann/faiss/swig/RangeSearchResult.java new file mode 100644 index 000000000..0779b6d70 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/RangeSearchResult.java @@ -0,0 +1,85 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class RangeSearchResult { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected RangeSearchResult(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(RangeSearchResult obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_RangeSearchResult(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNq(long value) { + swigfaissJNI.RangeSearchResult_nq_set(swigCPtr, this, value); + } + + public long getNq() { + return swigfaissJNI.RangeSearchResult_nq_get(swigCPtr, this); + } + + public void setLims(SWIGTYPE_p_unsigned_long value) { + swigfaissJNI.RangeSearchResult_lims_set(swigCPtr, this, SWIGTYPE_p_unsigned_long.getCPtr(value)); + } + + public SWIGTYPE_p_unsigned_long getLims() { + long cPtr = swigfaissJNI.RangeSearchResult_lims_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_long(cPtr, false); + } + + public void setLabels(LongVector value) { + swigfaissJNI.RangeSearchResult_labels_set(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(value.data()), value); + } + + public LongVector getLabels() { + return new LongVector(swigfaissJNI.RangeSearchResult_labels_get(swigCPtr, this), false); +} + + public void setDistances(SWIGTYPE_p_float value) { + swigfaissJNI.RangeSearchResult_distances_set(swigCPtr, this, SWIGTYPE_p_float.getCPtr(value)); + } + + public SWIGTYPE_p_float getDistances() { + long cPtr = swigfaissJNI.RangeSearchResult_distances_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public void setBuffer_size(long value) { + swigfaissJNI.RangeSearchResult_buffer_size_set(swigCPtr, this, value); + } + + public long getBuffer_size() { + return swigfaissJNI.RangeSearchResult_buffer_size_get(swigCPtr, this); + } + + public void do_allocation() { + swigfaissJNI.RangeSearchResult_do_allocation(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ReadOnlyInvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ReadOnlyInvertedLists.java new file mode 100644 index 000000000..8e85a70bc --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ReadOnlyInvertedLists.java @@ -0,0 +1,51 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ReadOnlyInvertedLists extends InvertedLists { + private transient long swigCPtr; + + protected ReadOnlyInvertedLists(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.ReadOnlyInvertedLists_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(ReadOnlyInvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ReadOnlyInvertedLists(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public long add_entries(long list_no, long n_entry, LongVector ids, SWIGTYPE_p_unsigned_char code) { + return swigfaissJNI.ReadOnlyInvertedLists_add_entries(swigCPtr, this, list_no, n_entry, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void update_entries(long list_no, long offset, long n_entry, LongVector ids, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.ReadOnlyInvertedLists_update_entries(swigCPtr, this, list_no, offset, n_entry, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void resize(long list_no, long new_size) { + swigfaissJNI.ReadOnlyInvertedLists_resize(swigCPtr, this, list_no, new_size); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ReconstructFromNeighbors.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ReconstructFromNeighbors.java new file mode 100644 index 000000000..31eaab625 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ReconstructFromNeighbors.java @@ -0,0 +1,161 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ReconstructFromNeighbors { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected ReconstructFromNeighbors(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(ReconstructFromNeighbors obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ReconstructFromNeighbors(swigCPtr); + } + swigCPtr = 0; + } + } + + public IndexHNSW getIndex() { + return new IndexHNSW(swigfaissJNI.ReconstructFromNeighbors_index_get(swigCPtr, this), false); + } + + public void setM(long value) { + swigfaissJNI.ReconstructFromNeighbors_M_set(swigCPtr, this, value); + } + + public long getM() { + return swigfaissJNI.ReconstructFromNeighbors_M_get(swigCPtr, this); + } + + public void setK(long value) { + swigfaissJNI.ReconstructFromNeighbors_k_set(swigCPtr, this, value); + } + + public long getK() { + return swigfaissJNI.ReconstructFromNeighbors_k_get(swigCPtr, this); + } + + public void setNsq(long value) { + swigfaissJNI.ReconstructFromNeighbors_nsq_set(swigCPtr, this, value); + } + + public long getNsq() { + return swigfaissJNI.ReconstructFromNeighbors_nsq_get(swigCPtr, this); + } + + public void setCode_size(long value) { + swigfaissJNI.ReconstructFromNeighbors_code_size_set(swigCPtr, this, value); + } + + public long getCode_size() { + return swigfaissJNI.ReconstructFromNeighbors_code_size_get(swigCPtr, this); + } + + public void setK_reorder(int value) { + swigfaissJNI.ReconstructFromNeighbors_k_reorder_set(swigCPtr, this, value); + } + + public int getK_reorder() { + return swigfaissJNI.ReconstructFromNeighbors_k_reorder_get(swigCPtr, this); + } + + public void setCodebook(FloatVector value) { + swigfaissJNI.ReconstructFromNeighbors_codebook_set(swigCPtr, this, FloatVector.getCPtr(value), value); + } + + public FloatVector getCodebook() { + long cPtr = swigfaissJNI.ReconstructFromNeighbors_codebook_get(swigCPtr, this); + return (cPtr == 0) ? null : new FloatVector(cPtr, false); + } + + public void setCodes(ByteVector value) { + swigfaissJNI.ReconstructFromNeighbors_codes_set(swigCPtr, this, ByteVector.getCPtr(value), value); + } + + public ByteVector getCodes() { + long cPtr = swigfaissJNI.ReconstructFromNeighbors_codes_get(swigCPtr, this); + return (cPtr == 0) ? null : new ByteVector(cPtr, false); + } + + public void setNtotal(long value) { + swigfaissJNI.ReconstructFromNeighbors_ntotal_set(swigCPtr, this, value); + } + + public long getNtotal() { + return swigfaissJNI.ReconstructFromNeighbors_ntotal_get(swigCPtr, this); + } + + public void setD(long value) { + swigfaissJNI.ReconstructFromNeighbors_d_set(swigCPtr, this, value); + } + + public long getD() { + return swigfaissJNI.ReconstructFromNeighbors_d_get(swigCPtr, this); + } + + public void setDsub(long value) { + swigfaissJNI.ReconstructFromNeighbors_dsub_set(swigCPtr, this, value); + } + + public long getDsub() { + return swigfaissJNI.ReconstructFromNeighbors_dsub_get(swigCPtr, this); + } + + public ReconstructFromNeighbors(IndexHNSW index, long k, long nsq) { + this(swigfaissJNI.new_ReconstructFromNeighbors__SWIG_0(IndexHNSW.getCPtr(index), index, k, nsq), true); + } + + public ReconstructFromNeighbors(IndexHNSW index, long k) { + this(swigfaissJNI.new_ReconstructFromNeighbors__SWIG_1(IndexHNSW.getCPtr(index), index, k), true); + } + + public ReconstructFromNeighbors(IndexHNSW index) { + this(swigfaissJNI.new_ReconstructFromNeighbors__SWIG_2(IndexHNSW.getCPtr(index), index), true); + } + + public void add_codes(long n, SWIGTYPE_p_float x) { + swigfaissJNI.ReconstructFromNeighbors_add_codes(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public long compute_distances(long n, LongVector shortlist, SWIGTYPE_p_float query, SWIGTYPE_p_float distances) { + return swigfaissJNI.ReconstructFromNeighbors_compute_distances(swigCPtr, this, n, SWIGTYPE_p_long_long.getCPtr(shortlist.data()), shortlist, SWIGTYPE_p_float.getCPtr(query), SWIGTYPE_p_float.getCPtr(distances)); + } + + public void estimate_code(SWIGTYPE_p_float x, int i, SWIGTYPE_p_unsigned_char code) { + swigfaissJNI.ReconstructFromNeighbors_estimate_code(swigCPtr, this, SWIGTYPE_p_float.getCPtr(x), i, SWIGTYPE_p_unsigned_char.getCPtr(code)); + } + + public void reconstruct(int i, SWIGTYPE_p_float x, SWIGTYPE_p_float tmp) { + swigfaissJNI.ReconstructFromNeighbors_reconstruct(swigCPtr, this, i, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(tmp)); + } + + public void reconstruct_n(int n0, int ni, SWIGTYPE_p_float x) { + swigfaissJNI.ReconstructFromNeighbors_reconstruct_n(swigCPtr, this, n0, ni, SWIGTYPE_p_float.getCPtr(x)); + } + + public void get_neighbor_table(int i, SWIGTYPE_p_float out) { + swigfaissJNI.ReconstructFromNeighbors_get_neighbor_table(swigCPtr, this, i, SWIGTYPE_p_float.getCPtr(out)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/RemapDimensionsTransform.java b/ann/src/main/java/com/twitter/ann/faiss/swig/RemapDimensionsTransform.java new file mode 100644 index 000000000..3b1af9df9 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/RemapDimensionsTransform.java @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class RemapDimensionsTransform extends VectorTransform { + private transient long swigCPtr; + + protected RemapDimensionsTransform(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.RemapDimensionsTransform_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(RemapDimensionsTransform obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_RemapDimensionsTransform(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setMap(IntVector value) { + swigfaissJNI.RemapDimensionsTransform_map_set(swigCPtr, this, IntVector.getCPtr(value), value); + } + + public IntVector getMap() { + long cPtr = swigfaissJNI.RemapDimensionsTransform_map_get(swigCPtr, this); + return (cPtr == 0) ? null : new IntVector(cPtr, false); + } + + public RemapDimensionsTransform(int d_in, int d_out, SWIGTYPE_p_int map) { + this(swigfaissJNI.new_RemapDimensionsTransform__SWIG_0(d_in, d_out, SWIGTYPE_p_int.getCPtr(map)), true); + } + + public RemapDimensionsTransform(int d_in, int d_out, boolean uniform) { + this(swigfaissJNI.new_RemapDimensionsTransform__SWIG_1(d_in, d_out, uniform), true); + } + + public RemapDimensionsTransform(int d_in, int d_out) { + this(swigfaissJNI.new_RemapDimensionsTransform__SWIG_2(d_in, d_out), true); + } + + public void apply_noalloc(long n, SWIGTYPE_p_float x, SWIGTYPE_p_float xt) { + swigfaissJNI.RemapDimensionsTransform_apply_noalloc(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(xt)); + } + + public void reverse_transform(long n, SWIGTYPE_p_float xt, SWIGTYPE_p_float x) { + swigfaissJNI.RemapDimensionsTransform_reverse_transform(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(xt), SWIGTYPE_p_float.getCPtr(x)); + } + + public RemapDimensionsTransform() { + this(swigfaissJNI.new_RemapDimensionsTransform__SWIG_3(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/ReproduceDistancesObjective.java b/ann/src/main/java/com/twitter/ann/faiss/swig/ReproduceDistancesObjective.java new file mode 100644 index 000000000..19b762d7e --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/ReproduceDistancesObjective.java @@ -0,0 +1,106 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class ReproduceDistancesObjective extends PermutationObjective { + private transient long swigCPtr; + + protected ReproduceDistancesObjective(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.ReproduceDistancesObjective_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(ReproduceDistancesObjective obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_ReproduceDistancesObjective(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setDis_weight_factor(double value) { + swigfaissJNI.ReproduceDistancesObjective_dis_weight_factor_set(swigCPtr, this, value); + } + + public double getDis_weight_factor() { + return swigfaissJNI.ReproduceDistancesObjective_dis_weight_factor_get(swigCPtr, this); + } + + public static double sqr(double x) { + return swigfaissJNI.ReproduceDistancesObjective_sqr(x); + } + + public double dis_weight(double x) { + return swigfaissJNI.ReproduceDistancesObjective_dis_weight(swigCPtr, this, x); + } + + public void setSource_dis(DoubleVector value) { + swigfaissJNI.ReproduceDistancesObjective_source_dis_set(swigCPtr, this, DoubleVector.getCPtr(value), value); + } + + public DoubleVector getSource_dis() { + long cPtr = swigfaissJNI.ReproduceDistancesObjective_source_dis_get(swigCPtr, this); + return (cPtr == 0) ? null : new DoubleVector(cPtr, false); + } + + public void setTarget_dis(SWIGTYPE_p_double value) { + swigfaissJNI.ReproduceDistancesObjective_target_dis_set(swigCPtr, this, SWIGTYPE_p_double.getCPtr(value)); + } + + public SWIGTYPE_p_double getTarget_dis() { + long cPtr = swigfaissJNI.ReproduceDistancesObjective_target_dis_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_double(cPtr, false); + } + + public void setWeights(DoubleVector value) { + swigfaissJNI.ReproduceDistancesObjective_weights_set(swigCPtr, this, DoubleVector.getCPtr(value), value); + } + + public DoubleVector getWeights() { + long cPtr = swigfaissJNI.ReproduceDistancesObjective_weights_get(swigCPtr, this); + return (cPtr == 0) ? null : new DoubleVector(cPtr, false); + } + + public double get_source_dis(int i, int j) { + return swigfaissJNI.ReproduceDistancesObjective_get_source_dis(swigCPtr, this, i, j); + } + + public double compute_cost(SWIGTYPE_p_int perm) { + return swigfaissJNI.ReproduceDistancesObjective_compute_cost(swigCPtr, this, SWIGTYPE_p_int.getCPtr(perm)); + } + + public double cost_update(SWIGTYPE_p_int perm, int iw, int jw) { + return swigfaissJNI.ReproduceDistancesObjective_cost_update(swigCPtr, this, SWIGTYPE_p_int.getCPtr(perm), iw, jw); + } + + public ReproduceDistancesObjective(int n, SWIGTYPE_p_double source_dis_in, SWIGTYPE_p_double target_dis_in, double dis_weight_factor) { + this(swigfaissJNI.new_ReproduceDistancesObjective(n, SWIGTYPE_p_double.getCPtr(source_dis_in), SWIGTYPE_p_double.getCPtr(target_dis_in), dis_weight_factor), true); + } + + public static void compute_mean_stdev(SWIGTYPE_p_double tab, long n2, SWIGTYPE_p_double mean_out, SWIGTYPE_p_double stddev_out) { + swigfaissJNI.ReproduceDistancesObjective_compute_mean_stdev(SWIGTYPE_p_double.getCPtr(tab), n2, SWIGTYPE_p_double.getCPtr(mean_out), SWIGTYPE_p_double.getCPtr(stddev_out)); + } + + public void set_affine_target_dis(SWIGTYPE_p_double source_dis_in) { + swigfaissJNI.ReproduceDistancesObjective_set_affine_target_dis(swigCPtr, this, SWIGTYPE_p_double.getCPtr(source_dis_in)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_AlignedTableT_float_32_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_AlignedTableT_float_32_t.java new file mode 100644 index 000000000..c2ca5d995 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_AlignedTableT_float_32_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_AlignedTableT_float_32_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_AlignedTableT_float_32_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_AlignedTableT_float_32_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_AlignedTableT_float_32_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_AlignedTableT_float_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_AlignedTableT_float_t.java new file mode 100644 index 000000000..f77626d23 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_AlignedTableT_float_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_AlignedTableT_float_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_AlignedTableT_float_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_AlignedTableT_float_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_AlignedTableT_float_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_DirectMap.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_DirectMap.java new file mode 100644 index 000000000..d4a2f0015 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_DirectMap.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_DirectMap { + private transient long swigCPtr; + + protected SWIGTYPE_p_DirectMap(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_DirectMap() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_DirectMap obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_DirectMap__Type.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_DirectMap__Type.java new file mode 100644 index 000000000..94763e8df --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_DirectMap__Type.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_DirectMap__Type { + private transient long swigCPtr; + + protected SWIGTYPE_p_DirectMap__Type(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_DirectMap__Type() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_DirectMap__Type obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_FILE.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_FILE.java new file mode 100644 index 000000000..7e2733107 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_FILE.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_FILE { + private transient long swigCPtr; + + protected SWIGTYPE_p_FILE(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_FILE() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_FILE obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_IOReader.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_IOReader.java new file mode 100644 index 000000000..e4003ea9c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_IOReader.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_IOReader { + private transient long swigCPtr; + + protected SWIGTYPE_p_IOReader(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_IOReader() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_IOReader obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_IOWriter.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_IOWriter.java new file mode 100644 index 000000000..c618a7728 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_IOWriter.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_IOWriter { + private transient long swigCPtr; + + protected SWIGTYPE_p_IOWriter(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_IOWriter() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_IOWriter obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_ScalarQuantizer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_ScalarQuantizer.java new file mode 100644 index 000000000..aa797717e --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_ScalarQuantizer.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_ScalarQuantizer { + private transient long swigCPtr; + + protected SWIGTYPE_p_ScalarQuantizer(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_ScalarQuantizer() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_ScalarQuantizer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_ScalarQuantizer__QuantizerType.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_ScalarQuantizer__QuantizerType.java new file mode 100644 index 000000000..79c1e62c4 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_ScalarQuantizer__QuantizerType.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_ScalarQuantizer__QuantizerType { + private transient long swigCPtr; + + protected SWIGTYPE_p_ScalarQuantizer__QuantizerType(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_ScalarQuantizer__QuantizerType() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_ScalarQuantizer__QuantizerType obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_double.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_double.java new file mode 100644 index 000000000..3fc49d14e --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_double.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_double { + private transient long swigCPtr; + + protected SWIGTYPE_p_double(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_double() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_double obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t.java new file mode 100644 index 000000000..bef0e5fd1 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__AlignedTableTightAllocT_float_32_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t.java new file mode 100644 index 000000000..0c63b2e1c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__AlignedTableTightAllocT_uint16_t_32_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t.java new file mode 100644 index 000000000..a347de470 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__AlignedTableTightAllocT_unsigned_char_32_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__BinaryInvertedListScanner.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__BinaryInvertedListScanner.java new file mode 100644 index 000000000..9c0c3af14 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__BinaryInvertedListScanner.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__BinaryInvertedListScanner { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__BinaryInvertedListScanner(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__BinaryInvertedListScanner() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__BinaryInvertedListScanner obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t.java new file mode 100644 index 000000000..8f084c126 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_float_int64_t_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t.java new file mode 100644 index 000000000..2200ff2f0 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t.java new file mode 100644 index 000000000..e8582625f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMinT_float_int64_t_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__IOReader.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__IOReader.java new file mode 100644 index 000000000..26aa9a153 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__IOReader.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__IOReader { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__IOReader(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__IOReader() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__IOReader obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__IOWriter.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__IOWriter.java new file mode 100644 index 000000000..7733421c1 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__IOWriter.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__IOWriter { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__IOWriter(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__IOWriter() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__IOWriter obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__InvertedListScanner.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__InvertedListScanner.java new file mode 100644 index 000000000..c94ea8604 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__InvertedListScanner.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__InvertedListScanner { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__InvertedListScanner(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__InvertedListScanner() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__InvertedListScanner obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__LockLevels.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__LockLevels.java new file mode 100644 index 000000000..6f709e65b --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__LockLevels.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__LockLevels { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__LockLevels(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__LockLevels() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__LockLevels obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch.java new file mode 100644 index 000000000..49c0a423f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__OnDiskInvertedLists__OngoingPrefetch obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__RandomGenerator.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__RandomGenerator.java new file mode 100644 index 000000000..6c3a98878 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_faiss__RandomGenerator.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_faiss__RandomGenerator { + private transient long swigCPtr; + + protected SWIGTYPE_p_faiss__RandomGenerator(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_faiss__RandomGenerator() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_faiss__RandomGenerator obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_float.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_float.java new file mode 100644 index 000000000..e4856b983 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_float.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_float { + private transient long swigCPtr; + + protected SWIGTYPE_p_float(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_float() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_float obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_int.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_int.java new file mode 100644 index 000000000..b3df7335d --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_int.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_int { + private transient long swigCPtr; + + protected SWIGTYPE_p_int(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_int() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_int obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_long.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_long.java new file mode 100644 index 000000000..4f8fa7370 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_long.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_long { + private transient long swigCPtr; + + protected SWIGTYPE_p_long(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_long() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_long obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_long_long.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_long_long.java new file mode 100644 index 000000000..e3eda3886 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_long_long.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_long_long { + private transient long swigCPtr; + + protected SWIGTYPE_p_long_long(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_long_long() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_long_long obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_omp_lock_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_omp_lock_t.java new file mode 100644 index 000000000..dd051ae05 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_omp_lock_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_omp_lock_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_omp_lock_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_omp_lock_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_omp_lock_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__Index.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__Index.java new file mode 100644 index 000000000..6521ff457 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__Index.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_p_faiss__Index { + private transient long swigCPtr; + + protected SWIGTYPE_p_p_faiss__Index(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_p_faiss__Index() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_p_faiss__Index obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__InvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__InvertedLists.java new file mode 100644 index 000000000..f59b0d9ca --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__InvertedLists.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_p_faiss__InvertedLists { + private transient long swigCPtr; + + protected SWIGTYPE_p_p_faiss__InvertedLists(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_p_faiss__InvertedLists() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_p_faiss__InvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__VectorTransform.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__VectorTransform.java new file mode 100644 index 000000000..7868f49b5 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_p_faiss__VectorTransform.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_p_faiss__VectorTransform { + private transient long swigCPtr; + + protected SWIGTYPE_p_p_faiss__VectorTransform(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_p_faiss__VectorTransform() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_p_faiss__VectorTransform obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t.java new file mode 100644 index 000000000..a57effe96 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__listT_faiss__OnDiskInvertedLists__Slot_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__pairT_float_int_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__pairT_float_int_t.java new file mode 100644 index 000000000..e168f768c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__pairT_float_int_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__pairT_float_int_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__pairT_float_int_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__pairT_float_int_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__pairT_float_int_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t.java new file mode 100644 index 000000000..e36ee5f13 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__priority_queueT_faiss__HNSW__NodeDistFarther_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t.java new file mode 100644 index 000000000..582f8a1c5 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__priority_queueT_std__pairT_float_int_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__unordered_mapT_long_long_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__unordered_mapT_long_long_t.java new file mode 100644 index 000000000..2d3e1688d --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__unordered_mapT_long_long_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__unordered_mapT_long_long_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__unordered_mapT_long_long_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__unordered_mapT_long_long_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__unordered_mapT_long_long_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t.java new file mode 100644 index 000000000..443e100db --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__unordered_multimapT_int64_t_int64_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t.java new file mode 100644 index 000000000..0e65925c3 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__BufferList__Buffer_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t.java new file mode 100644 index 000000000..c0eaa547f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__ClusteringIterationStats_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t.java new file mode 100644 index 000000000..52c8371c7 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__HNSW__NodeDistFarther_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__Index_p_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__Index_p_t.java new file mode 100644 index 000000000..f79e29ad6 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__Index_p_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__Index_p_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__Index_p_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__Index_p_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__Index_p_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t.java new file mode 100644 index 000000000..2e14f35c5 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t.java new file mode 100644 index 000000000..9d79a184c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__OnDiskOneList_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t.java new file mode 100644 index 000000000..99e3adabf --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__ParameterRange_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t.java new file mode 100644 index 000000000..64a1711ab --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__RangeQueryResult_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t.java new file mode 100644 index 000000000..67cd2d26a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_faiss__RangeSearchPartialResult_p_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_int64_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_int64_t_t.java new file mode 100644 index 000000000..06db35e07 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_int64_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_int64_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_int64_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_int64_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_int64_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_long_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_long_t.java new file mode 100644 index 000000000..4ad496dc7 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_long_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_long_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_long_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_long_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_long_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_omp_lock_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_omp_lock_t_t.java new file mode 100644 index 000000000..81c9e88a1 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_omp_lock_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_omp_lock_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_omp_lock_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_omp_lock_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_omp_lock_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t.java new file mode 100644 index 000000000..7e5504484 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_std__vectorT_int64_t_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t.java new file mode 100644 index 000000000..dbd515dcc --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_uint16_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_uint16_t.java new file mode 100644 index 000000000..5ac22962a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_uint16_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_uint16_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_uint16_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_uint16_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_uint16_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_uint32_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_uint32_t.java new file mode 100644 index 000000000..3f2db2873 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_uint32_t.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_uint32_t { + private transient long swigCPtr; + + protected SWIGTYPE_p_uint32_t(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_uint32_t() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_uint32_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_unsigned_char.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_unsigned_char.java new file mode 100644 index 000000000..c34696c2c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_unsigned_char.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_unsigned_char { + private transient long swigCPtr; + + protected SWIGTYPE_p_unsigned_char(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_unsigned_char() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_unsigned_char obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_unsigned_long.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_unsigned_long.java new file mode 100644 index 000000000..f303bca61 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_unsigned_long.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_unsigned_long { + private transient long swigCPtr; + + protected SWIGTYPE_p_unsigned_long(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_unsigned_long() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_unsigned_long obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_void.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_void.java new file mode 100644 index 000000000..2ec4d574c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SWIGTYPE_p_void.java @@ -0,0 +1,26 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SWIGTYPE_p_void { + private transient long swigCPtr; + + protected SWIGTYPE_p_void(long cPtr, @SuppressWarnings("unused") boolean futureUse) { + swigCPtr = cPtr; + } + + protected SWIGTYPE_p_void() { + swigCPtr = 0; + } + + protected static long getCPtr(SWIGTYPE_p_void obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } +} + diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SimulatedAnnealingOptimizer.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SimulatedAnnealingOptimizer.java new file mode 100644 index 000000000..e3b2af66c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SimulatedAnnealingOptimizer.java @@ -0,0 +1,94 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SimulatedAnnealingOptimizer extends SimulatedAnnealingParameters { + private transient long swigCPtr; + + protected SimulatedAnnealingOptimizer(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.SimulatedAnnealingOptimizer_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(SimulatedAnnealingOptimizer obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_SimulatedAnnealingOptimizer(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setObj(PermutationObjective value) { + swigfaissJNI.SimulatedAnnealingOptimizer_obj_set(swigCPtr, this, PermutationObjective.getCPtr(value), value); + } + + public PermutationObjective getObj() { + long cPtr = swigfaissJNI.SimulatedAnnealingOptimizer_obj_get(swigCPtr, this); + return (cPtr == 0) ? null : new PermutationObjective(cPtr, false); + } + + public void setN(int value) { + swigfaissJNI.SimulatedAnnealingOptimizer_n_set(swigCPtr, this, value); + } + + public int getN() { + return swigfaissJNI.SimulatedAnnealingOptimizer_n_get(swigCPtr, this); + } + + public void setLogfile(SWIGTYPE_p_FILE value) { + swigfaissJNI.SimulatedAnnealingOptimizer_logfile_set(swigCPtr, this, SWIGTYPE_p_FILE.getCPtr(value)); + } + + public SWIGTYPE_p_FILE getLogfile() { + long cPtr = swigfaissJNI.SimulatedAnnealingOptimizer_logfile_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_FILE(cPtr, false); + } + + public SimulatedAnnealingOptimizer(PermutationObjective obj, SimulatedAnnealingParameters p) { + this(swigfaissJNI.new_SimulatedAnnealingOptimizer(PermutationObjective.getCPtr(obj), obj, SimulatedAnnealingParameters.getCPtr(p), p), true); + } + + public void setRnd(SWIGTYPE_p_faiss__RandomGenerator value) { + swigfaissJNI.SimulatedAnnealingOptimizer_rnd_set(swigCPtr, this, SWIGTYPE_p_faiss__RandomGenerator.getCPtr(value)); + } + + public SWIGTYPE_p_faiss__RandomGenerator getRnd() { + long cPtr = swigfaissJNI.SimulatedAnnealingOptimizer_rnd_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_faiss__RandomGenerator(cPtr, false); + } + + public void setInit_cost(double value) { + swigfaissJNI.SimulatedAnnealingOptimizer_init_cost_set(swigCPtr, this, value); + } + + public double getInit_cost() { + return swigfaissJNI.SimulatedAnnealingOptimizer_init_cost_get(swigCPtr, this); + } + + public double optimize(SWIGTYPE_p_int perm) { + return swigfaissJNI.SimulatedAnnealingOptimizer_optimize(swigCPtr, this, SWIGTYPE_p_int.getCPtr(perm)); + } + + public double run_optimization(SWIGTYPE_p_int best_perm) { + return swigfaissJNI.SimulatedAnnealingOptimizer_run_optimization(swigCPtr, this, SWIGTYPE_p_int.getCPtr(best_perm)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SimulatedAnnealingParameters.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SimulatedAnnealingParameters.java new file mode 100644 index 000000000..612d9be4e --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SimulatedAnnealingParameters.java @@ -0,0 +1,107 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SimulatedAnnealingParameters { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected SimulatedAnnealingParameters(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(SimulatedAnnealingParameters obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_SimulatedAnnealingParameters(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setInit_temperature(double value) { + swigfaissJNI.SimulatedAnnealingParameters_init_temperature_set(swigCPtr, this, value); + } + + public double getInit_temperature() { + return swigfaissJNI.SimulatedAnnealingParameters_init_temperature_get(swigCPtr, this); + } + + public void setTemperature_decay(double value) { + swigfaissJNI.SimulatedAnnealingParameters_temperature_decay_set(swigCPtr, this, value); + } + + public double getTemperature_decay() { + return swigfaissJNI.SimulatedAnnealingParameters_temperature_decay_get(swigCPtr, this); + } + + public void setN_iter(int value) { + swigfaissJNI.SimulatedAnnealingParameters_n_iter_set(swigCPtr, this, value); + } + + public int getN_iter() { + return swigfaissJNI.SimulatedAnnealingParameters_n_iter_get(swigCPtr, this); + } + + public void setN_redo(int value) { + swigfaissJNI.SimulatedAnnealingParameters_n_redo_set(swigCPtr, this, value); + } + + public int getN_redo() { + return swigfaissJNI.SimulatedAnnealingParameters_n_redo_get(swigCPtr, this); + } + + public void setSeed(int value) { + swigfaissJNI.SimulatedAnnealingParameters_seed_set(swigCPtr, this, value); + } + + public int getSeed() { + return swigfaissJNI.SimulatedAnnealingParameters_seed_get(swigCPtr, this); + } + + public void setVerbose(int value) { + swigfaissJNI.SimulatedAnnealingParameters_verbose_set(swigCPtr, this, value); + } + + public int getVerbose() { + return swigfaissJNI.SimulatedAnnealingParameters_verbose_get(swigCPtr, this); + } + + public void setOnly_bit_flips(boolean value) { + swigfaissJNI.SimulatedAnnealingParameters_only_bit_flips_set(swigCPtr, this, value); + } + + public boolean getOnly_bit_flips() { + return swigfaissJNI.SimulatedAnnealingParameters_only_bit_flips_get(swigCPtr, this); + } + + public void setInit_random(boolean value) { + swigfaissJNI.SimulatedAnnealingParameters_init_random_set(swigCPtr, this, value); + } + + public boolean getInit_random() { + return swigfaissJNI.SimulatedAnnealingParameters_init_random_get(swigCPtr, this); + } + + public SimulatedAnnealingParameters() { + this(swigfaissJNI.new_SimulatedAnnealingParameters(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SliceInvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SliceInvertedLists.java new file mode 100644 index 000000000..6a551db14 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SliceInvertedLists.java @@ -0,0 +1,102 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SliceInvertedLists extends ReadOnlyInvertedLists { + private transient long swigCPtr; + + protected SliceInvertedLists(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.SliceInvertedLists_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(SliceInvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_SliceInvertedLists(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setIl(InvertedLists value) { + swigfaissJNI.SliceInvertedLists_il_set(swigCPtr, this, InvertedLists.getCPtr(value), value); + } + + public InvertedLists getIl() { + long cPtr = swigfaissJNI.SliceInvertedLists_il_get(swigCPtr, this); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public void setI0(long value) { + swigfaissJNI.SliceInvertedLists_i0_set(swigCPtr, this, value); + } + + public long getI0() { + return swigfaissJNI.SliceInvertedLists_i0_get(swigCPtr, this); +} + + public void setI1(long value) { + swigfaissJNI.SliceInvertedLists_i1_set(swigCPtr, this, value); + } + + public long getI1() { + return swigfaissJNI.SliceInvertedLists_i1_get(swigCPtr, this); +} + + public SliceInvertedLists(InvertedLists il, long i0, long i1) { + this(swigfaissJNI.new_SliceInvertedLists(InvertedLists.getCPtr(il), il, i0, i1), true); + } + + public long list_size(long list_no) { + return swigfaissJNI.SliceInvertedLists_list_size(swigCPtr, this, list_no); + } + + public SWIGTYPE_p_unsigned_char get_codes(long list_no) { + long cPtr = swigfaissJNI.SliceInvertedLists_get_codes(swigCPtr, this, list_no); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public LongVector get_ids(long list_no) { + return new LongVector(swigfaissJNI.SliceInvertedLists_get_ids(swigCPtr, this, list_no), false); +} + + public void release_codes(long list_no, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.SliceInvertedLists_release_codes(swigCPtr, this, list_no, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void release_ids(long list_no, LongVector ids) { + swigfaissJNI.SliceInvertedLists_release_ids(swigCPtr, this, list_no, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids); + } + + public long get_single_id(long list_no, long offset) { + return swigfaissJNI.SliceInvertedLists_get_single_id(swigCPtr, this, list_no, offset); +} + + public SWIGTYPE_p_unsigned_char get_single_code(long list_no, long offset) { + long cPtr = swigfaissJNI.SliceInvertedLists_get_single_code(swigCPtr, this, list_no, offset); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void prefetch_lists(LongVector list_nos, int nlist) { + swigfaissJNI.SliceInvertedLists_prefetch_lists(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, nlist); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/SlidingIndexWindow.java b/ann/src/main/java/com/twitter/ann/faiss/swig/SlidingIndexWindow.java new file mode 100644 index 000000000..c866e2fa2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/SlidingIndexWindow.java @@ -0,0 +1,90 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class SlidingIndexWindow { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected SlidingIndexWindow(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(SlidingIndexWindow obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_SlidingIndexWindow(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setIndex(Index value) { + swigfaissJNI.SlidingIndexWindow_index_set(swigCPtr, this, Index.getCPtr(value), value); + } + + public Index getIndex() { + long cPtr = swigfaissJNI.SlidingIndexWindow_index_get(swigCPtr, this); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public void setIls(ArrayInvertedLists value) { + swigfaissJNI.SlidingIndexWindow_ils_set(swigCPtr, this, ArrayInvertedLists.getCPtr(value), value); + } + + public ArrayInvertedLists getIls() { + long cPtr = swigfaissJNI.SlidingIndexWindow_ils_get(swigCPtr, this); + return (cPtr == 0) ? null : new ArrayInvertedLists(cPtr, false); + } + + public void setN_slice(int value) { + swigfaissJNI.SlidingIndexWindow_n_slice_set(swigCPtr, this, value); + } + + public int getN_slice() { + return swigfaissJNI.SlidingIndexWindow_n_slice_get(swigCPtr, this); + } + + public void setNlist(long value) { + swigfaissJNI.SlidingIndexWindow_nlist_set(swigCPtr, this, value); + } + + public long getNlist() { + return swigfaissJNI.SlidingIndexWindow_nlist_get(swigCPtr, this); + } + + public void setSizes(SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t value) { + swigfaissJNI.SlidingIndexWindow_sizes_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t getSizes() { + long cPtr = swigfaissJNI.SlidingIndexWindow_sizes_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_std__vectorT_unsigned_long_t_t(cPtr, false); + } + + public SlidingIndexWindow(Index index) { + this(swigfaissJNI.new_SlidingIndexWindow(Index.getCPtr(index), index), true); + } + + public void step(Index sub_index, boolean remove_oldest) { + swigfaissJNI.SlidingIndexWindow_step(swigCPtr, this, Index.getCPtr(sub_index), sub_index, remove_oldest); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/StopWordsInvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/StopWordsInvertedLists.java new file mode 100644 index 000000000..d951d207d --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/StopWordsInvertedLists.java @@ -0,0 +1,94 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class StopWordsInvertedLists extends ReadOnlyInvertedLists { + private transient long swigCPtr; + + protected StopWordsInvertedLists(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.StopWordsInvertedLists_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(StopWordsInvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_StopWordsInvertedLists(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setIl0(InvertedLists value) { + swigfaissJNI.StopWordsInvertedLists_il0_set(swigCPtr, this, InvertedLists.getCPtr(value), value); + } + + public InvertedLists getIl0() { + long cPtr = swigfaissJNI.StopWordsInvertedLists_il0_get(swigCPtr, this); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public void setMaxsize(long value) { + swigfaissJNI.StopWordsInvertedLists_maxsize_set(swigCPtr, this, value); + } + + public long getMaxsize() { + return swigfaissJNI.StopWordsInvertedLists_maxsize_get(swigCPtr, this); + } + + public StopWordsInvertedLists(InvertedLists il, long maxsize) { + this(swigfaissJNI.new_StopWordsInvertedLists(InvertedLists.getCPtr(il), il, maxsize), true); + } + + public long list_size(long list_no) { + return swigfaissJNI.StopWordsInvertedLists_list_size(swigCPtr, this, list_no); + } + + public SWIGTYPE_p_unsigned_char get_codes(long list_no) { + long cPtr = swigfaissJNI.StopWordsInvertedLists_get_codes(swigCPtr, this, list_no); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public LongVector get_ids(long list_no) { + return new LongVector(swigfaissJNI.StopWordsInvertedLists_get_ids(swigCPtr, this, list_no), false); +} + + public void release_codes(long list_no, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.StopWordsInvertedLists_release_codes(swigCPtr, this, list_no, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void release_ids(long list_no, LongVector ids) { + swigfaissJNI.StopWordsInvertedLists_release_ids(swigCPtr, this, list_no, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids); + } + + public long get_single_id(long list_no, long offset) { + return swigfaissJNI.StopWordsInvertedLists_get_single_id(swigCPtr, this, list_no, offset); +} + + public SWIGTYPE_p_unsigned_char get_single_code(long list_no, long offset) { + long cPtr = swigfaissJNI.StopWordsInvertedLists_get_single_code(swigCPtr, this, list_no, offset); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void prefetch_lists(LongVector list_nos, int nlist) { + swigfaissJNI.StopWordsInvertedLists_prefetch_lists(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, nlist); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/Uint64Vector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/Uint64Vector.java new file mode 100644 index 000000000..cd9b40be7 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/Uint64Vector.java @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class Uint64Vector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected Uint64Vector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(Uint64Vector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_Uint64Vector(swigCPtr); + } + swigCPtr = 0; + } + } + + public Uint64Vector() { + this(swigfaissJNI.new_Uint64Vector(), true); + } + + public void push_back(long arg0) { + swigfaissJNI.Uint64Vector_push_back(swigCPtr, this, arg0); + } + + public void clear() { + swigfaissJNI.Uint64Vector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_unsigned_long data() { + long cPtr = swigfaissJNI.Uint64Vector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_long(cPtr, false); + } + + public long size() { + return swigfaissJNI.Uint64Vector_size(swigCPtr, this); + } + + public long at(long n) { + return swigfaissJNI.Uint64Vector_at(swigCPtr, this, n); + } + + public void resize(long n) { + swigfaissJNI.Uint64Vector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.Uint64Vector_reserve(swigCPtr, this, n); + } + + public void swap(Uint64Vector other) { + swigfaissJNI.Uint64Vector_swap(swigCPtr, this, Uint64Vector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/VStackInvertedLists.java b/ann/src/main/java/com/twitter/ann/faiss/swig/VStackInvertedLists.java new file mode 100644 index 000000000..127a4a953 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/VStackInvertedLists.java @@ -0,0 +1,95 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class VStackInvertedLists extends ReadOnlyInvertedLists { + private transient long swigCPtr; + + protected VStackInvertedLists(long cPtr, boolean cMemoryOwn) { + super(swigfaissJNI.VStackInvertedLists_SWIGUpcast(cPtr), cMemoryOwn); + swigCPtr = cPtr; + } + + protected static long getCPtr(VStackInvertedLists obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_VStackInvertedLists(swigCPtr); + } + swigCPtr = 0; + } + super.delete(); + } + + public void setIls(SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t value) { + swigfaissJNI.VStackInvertedLists_ils_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t getIls() { + long cPtr = swigfaissJNI.VStackInvertedLists_ils_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_faiss__InvertedLists_const_p_t(cPtr, false); + } + + public void setCumsz(SWIGTYPE_p_std__vectorT_int64_t_t value) { + swigfaissJNI.VStackInvertedLists_cumsz_set(swigCPtr, this, SWIGTYPE_p_std__vectorT_int64_t_t.getCPtr(value)); + } + + public SWIGTYPE_p_std__vectorT_int64_t_t getCumsz() { + long cPtr = swigfaissJNI.VStackInvertedLists_cumsz_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_std__vectorT_int64_t_t(cPtr, false); + } + + public VStackInvertedLists(int nil, SWIGTYPE_p_p_faiss__InvertedLists ils) { + this(swigfaissJNI.new_VStackInvertedLists(nil, SWIGTYPE_p_p_faiss__InvertedLists.getCPtr(ils)), true); + } + + public long list_size(long list_no) { + return swigfaissJNI.VStackInvertedLists_list_size(swigCPtr, this, list_no); + } + + public SWIGTYPE_p_unsigned_char get_codes(long list_no) { + long cPtr = swigfaissJNI.VStackInvertedLists_get_codes(swigCPtr, this, list_no); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public LongVector get_ids(long list_no) { + return new LongVector(swigfaissJNI.VStackInvertedLists_get_ids(swigCPtr, this, list_no), false); +} + + public void release_codes(long list_no, SWIGTYPE_p_unsigned_char codes) { + swigfaissJNI.VStackInvertedLists_release_codes(swigCPtr, this, list_no, SWIGTYPE_p_unsigned_char.getCPtr(codes)); + } + + public void release_ids(long list_no, LongVector ids) { + swigfaissJNI.VStackInvertedLists_release_ids(swigCPtr, this, list_no, SWIGTYPE_p_long_long.getCPtr(ids.data()), ids); + } + + public long get_single_id(long list_no, long offset) { + return swigfaissJNI.VStackInvertedLists_get_single_id(swigCPtr, this, list_no, offset); +} + + public SWIGTYPE_p_unsigned_char get_single_code(long list_no, long offset) { + long cPtr = swigfaissJNI.VStackInvertedLists_get_single_code(swigCPtr, this, list_no, offset); + return (cPtr == 0) ? null : new SWIGTYPE_p_unsigned_char(cPtr, false); + } + + public void prefetch_lists(LongVector list_nos, int nlist) { + swigfaissJNI.VStackInvertedLists_prefetch_lists(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(list_nos.data()), list_nos, nlist); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/VectorTransform.java b/ann/src/main/java/com/twitter/ann/faiss/swig/VectorTransform.java new file mode 100644 index 000000000..e17ad0f4d --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/VectorTransform.java @@ -0,0 +1,80 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class VectorTransform { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected VectorTransform(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(VectorTransform obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_VectorTransform(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setD_in(int value) { + swigfaissJNI.VectorTransform_d_in_set(swigCPtr, this, value); + } + + public int getD_in() { + return swigfaissJNI.VectorTransform_d_in_get(swigCPtr, this); + } + + public void setD_out(int value) { + swigfaissJNI.VectorTransform_d_out_set(swigCPtr, this, value); + } + + public int getD_out() { + return swigfaissJNI.VectorTransform_d_out_get(swigCPtr, this); + } + + public void setIs_trained(boolean value) { + swigfaissJNI.VectorTransform_is_trained_set(swigCPtr, this, value); + } + + public boolean getIs_trained() { + return swigfaissJNI.VectorTransform_is_trained_get(swigCPtr, this); + } + + public void train(long n, SWIGTYPE_p_float x) { + swigfaissJNI.VectorTransform_train(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + } + + public SWIGTYPE_p_float apply(long n, SWIGTYPE_p_float x) { + long cPtr = swigfaissJNI.VectorTransform_apply(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x)); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public void apply_noalloc(long n, SWIGTYPE_p_float x, SWIGTYPE_p_float xt) { + swigfaissJNI.VectorTransform_apply_noalloc(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(xt)); + } + + public void reverse_transform(long n, SWIGTYPE_p_float xt, SWIGTYPE_p_float x) { + swigfaissJNI.VectorTransform_reverse_transform(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(xt), SWIGTYPE_p_float.getCPtr(x)); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/VectorTransformVector.java b/ann/src/main/java/com/twitter/ann/faiss/swig/VectorTransformVector.java new file mode 100644 index 000000000..d7a1a6f6f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/VectorTransformVector.java @@ -0,0 +1,77 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class VectorTransformVector { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected VectorTransformVector(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(VectorTransformVector obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_VectorTransformVector(swigCPtr); + } + swigCPtr = 0; + } + } + + public VectorTransformVector() { + this(swigfaissJNI.new_VectorTransformVector(), true); + } + + public void push_back(VectorTransform arg0) { + swigfaissJNI.VectorTransformVector_push_back(swigCPtr, this, VectorTransform.getCPtr(arg0), arg0); + } + + public void clear() { + swigfaissJNI.VectorTransformVector_clear(swigCPtr, this); + } + + public SWIGTYPE_p_p_faiss__VectorTransform data() { + long cPtr = swigfaissJNI.VectorTransformVector_data(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_p_faiss__VectorTransform(cPtr, false); + } + + public long size() { + return swigfaissJNI.VectorTransformVector_size(swigCPtr, this); + } + + public VectorTransform at(long n) { + long cPtr = swigfaissJNI.VectorTransformVector_at(swigCPtr, this, n); + return (cPtr == 0) ? null : new VectorTransform(cPtr, false); + } + + public void resize(long n) { + swigfaissJNI.VectorTransformVector_resize(swigCPtr, this, n); + } + + public void reserve(long n) { + swigfaissJNI.VectorTransformVector_reserve(swigCPtr, this, n); + } + + public void swap(VectorTransformVector other) { + swigfaissJNI.VectorTransformVector_swap(swigCPtr, this, VectorTransformVector.getCPtr(other), other); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/VisitedTable.java b/ann/src/main/java/com/twitter/ann/faiss/swig/VisitedTable.java new file mode 100644 index 000000000..69b1108a4 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/VisitedTable.java @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class VisitedTable { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected VisitedTable(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(VisitedTable obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_VisitedTable(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setVisited(ByteVector value) { + swigfaissJNI.VisitedTable_visited_set(swigCPtr, this, ByteVector.getCPtr(value), value); + } + + public ByteVector getVisited() { + long cPtr = swigfaissJNI.VisitedTable_visited_get(swigCPtr, this); + return (cPtr == 0) ? null : new ByteVector(cPtr, false); + } + + public void setVisno(int value) { + swigfaissJNI.VisitedTable_visno_set(swigCPtr, this, value); + } + + public int getVisno() { + return swigfaissJNI.VisitedTable_visno_get(swigCPtr, this); + } + + public VisitedTable(int size) { + this(swigfaissJNI.new_VisitedTable(size), true); + } + + public void set(int no) { + swigfaissJNI.VisitedTable_set(swigCPtr, this, no); + } + + public boolean get(int no) { + return swigfaissJNI.VisitedTable_get(swigCPtr, this, no); + } + + public void advance() { + swigfaissJNI.VisitedTable_advance(swigCPtr, this); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/doubleArray.java b/ann/src/main/java/com/twitter/ann/faiss/swig/doubleArray.java new file mode 100644 index 000000000..f37b56e4a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/doubleArray.java @@ -0,0 +1,61 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class doubleArray { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected doubleArray(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(doubleArray obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_doubleArray(swigCPtr); + } + swigCPtr = 0; + } + } + + public doubleArray(int nelements) { + this(swigfaissJNI.new_doubleArray(nelements), true); + } + + public double getitem(int index) { + return swigfaissJNI.doubleArray_getitem(swigCPtr, this, index); + } + + public void setitem(int index, double value) { + swigfaissJNI.doubleArray_setitem(swigCPtr, this, index, value); + } + + public SWIGTYPE_p_double cast() { + long cPtr = swigfaissJNI.doubleArray_cast(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_double(cPtr, false); + } + + public static doubleArray frompointer(SWIGTYPE_p_double t) { + long cPtr = swigfaissJNI.doubleArray_frompointer(SWIGTYPE_p_double.getCPtr(t)); + return (cPtr == 0) ? null : new doubleArray(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/floatArray.java b/ann/src/main/java/com/twitter/ann/faiss/swig/floatArray.java new file mode 100644 index 000000000..641dc844b --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/floatArray.java @@ -0,0 +1,61 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class floatArray { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected floatArray(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(floatArray obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_floatArray(swigCPtr); + } + swigCPtr = 0; + } + } + + public floatArray(int nelements) { + this(swigfaissJNI.new_floatArray(nelements), true); + } + + public float getitem(int index) { + return swigfaissJNI.floatArray_getitem(swigCPtr, this, index); + } + + public void setitem(int index, float value) { + swigfaissJNI.floatArray_setitem(swigCPtr, this, index, value); + } + + public SWIGTYPE_p_float cast() { + long cPtr = swigfaissJNI.floatArray_cast(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public static floatArray frompointer(SWIGTYPE_p_float t) { + long cPtr = swigfaissJNI.floatArray_frompointer(SWIGTYPE_p_float.getCPtr(t)); + return (cPtr == 0) ? null : new floatArray(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/float_maxheap_array_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/float_maxheap_array_t.java new file mode 100644 index 000000000..875ef1c4a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/float_maxheap_array_t.java @@ -0,0 +1,133 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class float_maxheap_array_t { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected float_maxheap_array_t(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(float_maxheap_array_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_float_maxheap_array_t(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNh(long value) { + swigfaissJNI.float_maxheap_array_t_nh_set(swigCPtr, this, value); + } + + public long getNh() { + return swigfaissJNI.float_maxheap_array_t_nh_get(swigCPtr, this); + } + + public void setK(long value) { + swigfaissJNI.float_maxheap_array_t_k_set(swigCPtr, this, value); + } + + public long getK() { + return swigfaissJNI.float_maxheap_array_t_k_get(swigCPtr, this); + } + + public void setIds(LongVector value) { + swigfaissJNI.float_maxheap_array_t_ids_set(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(value.data()), value); + } + + public LongVector getIds() { + return new LongVector(swigfaissJNI.float_maxheap_array_t_ids_get(swigCPtr, this), false); +} + + public void setVal(SWIGTYPE_p_float value) { + swigfaissJNI.float_maxheap_array_t_val_set(swigCPtr, this, SWIGTYPE_p_float.getCPtr(value)); + } + + public SWIGTYPE_p_float getVal() { + long cPtr = swigfaissJNI.float_maxheap_array_t_val_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public SWIGTYPE_p_float get_val(long key) { + long cPtr = swigfaissJNI.float_maxheap_array_t_get_val(swigCPtr, this, key); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public LongVector get_ids(long key) { + return new LongVector(swigfaissJNI.float_maxheap_array_t_get_ids(swigCPtr, this, key), false); +} + + public void heapify() { + swigfaissJNI.float_maxheap_array_t_heapify(swigCPtr, this); + } + + public void addn(long nj, SWIGTYPE_p_float vin, long j0, long i0, long ni) { + swigfaissJNI.float_maxheap_array_t_addn__SWIG_0(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), j0, i0, ni); + } + + public void addn(long nj, SWIGTYPE_p_float vin, long j0, long i0) { + swigfaissJNI.float_maxheap_array_t_addn__SWIG_1(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), j0, i0); + } + + public void addn(long nj, SWIGTYPE_p_float vin, long j0) { + swigfaissJNI.float_maxheap_array_t_addn__SWIG_2(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), j0); + } + + public void addn(long nj, SWIGTYPE_p_float vin) { + swigfaissJNI.float_maxheap_array_t_addn__SWIG_3(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin)); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin, LongVector id_in, long id_stride, long i0, long ni) { + swigfaissJNI.float_maxheap_array_t_addn_with_ids__SWIG_0(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride, i0, ni); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin, LongVector id_in, long id_stride, long i0) { + swigfaissJNI.float_maxheap_array_t_addn_with_ids__SWIG_1(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride, i0); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin, LongVector id_in, long id_stride) { + swigfaissJNI.float_maxheap_array_t_addn_with_ids__SWIG_2(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin, LongVector id_in) { + swigfaissJNI.float_maxheap_array_t_addn_with_ids__SWIG_3(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin) { + swigfaissJNI.float_maxheap_array_t_addn_with_ids__SWIG_4(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin)); + } + + public void reorder() { + swigfaissJNI.float_maxheap_array_t_reorder(swigCPtr, this); + } + + public void per_line_extrema(SWIGTYPE_p_float vals_out, LongVector idx_out) { + swigfaissJNI.float_maxheap_array_t_per_line_extrema(swigCPtr, this, SWIGTYPE_p_float.getCPtr(vals_out), SWIGTYPE_p_long_long.getCPtr(idx_out.data()), idx_out); + } + + public float_maxheap_array_t() { + this(swigfaissJNI.new_float_maxheap_array_t(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/float_minheap_array_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/float_minheap_array_t.java new file mode 100644 index 000000000..5944f2cc9 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/float_minheap_array_t.java @@ -0,0 +1,133 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class float_minheap_array_t { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected float_minheap_array_t(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(float_minheap_array_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_float_minheap_array_t(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNh(long value) { + swigfaissJNI.float_minheap_array_t_nh_set(swigCPtr, this, value); + } + + public long getNh() { + return swigfaissJNI.float_minheap_array_t_nh_get(swigCPtr, this); + } + + public void setK(long value) { + swigfaissJNI.float_minheap_array_t_k_set(swigCPtr, this, value); + } + + public long getK() { + return swigfaissJNI.float_minheap_array_t_k_get(swigCPtr, this); + } + + public void setIds(LongVector value) { + swigfaissJNI.float_minheap_array_t_ids_set(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(value.data()), value); + } + + public LongVector getIds() { + return new LongVector(swigfaissJNI.float_minheap_array_t_ids_get(swigCPtr, this), false); +} + + public void setVal(SWIGTYPE_p_float value) { + swigfaissJNI.float_minheap_array_t_val_set(swigCPtr, this, SWIGTYPE_p_float.getCPtr(value)); + } + + public SWIGTYPE_p_float getVal() { + long cPtr = swigfaissJNI.float_minheap_array_t_val_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public SWIGTYPE_p_float get_val(long key) { + long cPtr = swigfaissJNI.float_minheap_array_t_get_val(swigCPtr, this, key); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public LongVector get_ids(long key) { + return new LongVector(swigfaissJNI.float_minheap_array_t_get_ids(swigCPtr, this, key), false); +} + + public void heapify() { + swigfaissJNI.float_minheap_array_t_heapify(swigCPtr, this); + } + + public void addn(long nj, SWIGTYPE_p_float vin, long j0, long i0, long ni) { + swigfaissJNI.float_minheap_array_t_addn__SWIG_0(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), j0, i0, ni); + } + + public void addn(long nj, SWIGTYPE_p_float vin, long j0, long i0) { + swigfaissJNI.float_minheap_array_t_addn__SWIG_1(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), j0, i0); + } + + public void addn(long nj, SWIGTYPE_p_float vin, long j0) { + swigfaissJNI.float_minheap_array_t_addn__SWIG_2(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), j0); + } + + public void addn(long nj, SWIGTYPE_p_float vin) { + swigfaissJNI.float_minheap_array_t_addn__SWIG_3(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin)); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin, LongVector id_in, long id_stride, long i0, long ni) { + swigfaissJNI.float_minheap_array_t_addn_with_ids__SWIG_0(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride, i0, ni); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin, LongVector id_in, long id_stride, long i0) { + swigfaissJNI.float_minheap_array_t_addn_with_ids__SWIG_1(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride, i0); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin, LongVector id_in, long id_stride) { + swigfaissJNI.float_minheap_array_t_addn_with_ids__SWIG_2(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin, LongVector id_in) { + swigfaissJNI.float_minheap_array_t_addn_with_ids__SWIG_3(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_float vin) { + swigfaissJNI.float_minheap_array_t_addn_with_ids__SWIG_4(swigCPtr, this, nj, SWIGTYPE_p_float.getCPtr(vin)); + } + + public void reorder() { + swigfaissJNI.float_minheap_array_t_reorder(swigCPtr, this); + } + + public void per_line_extrema(SWIGTYPE_p_float vals_out, LongVector idx_out) { + swigfaissJNI.float_minheap_array_t_per_line_extrema(swigCPtr, this, SWIGTYPE_p_float.getCPtr(vals_out), SWIGTYPE_p_long_long.getCPtr(idx_out.data()), idx_out); + } + + public float_minheap_array_t() { + this(swigfaissJNI.new_float_minheap_array_t(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/intArray.java b/ann/src/main/java/com/twitter/ann/faiss/swig/intArray.java new file mode 100644 index 000000000..9774521a1 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/intArray.java @@ -0,0 +1,61 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class intArray { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected intArray(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(intArray obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_intArray(swigCPtr); + } + swigCPtr = 0; + } + } + + public intArray(int nelements) { + this(swigfaissJNI.new_intArray(nelements), true); + } + + public int getitem(int index) { + return swigfaissJNI.intArray_getitem(swigCPtr, this, index); + } + + public void setitem(int index, int value) { + swigfaissJNI.intArray_setitem(swigCPtr, this, index, value); + } + + public SWIGTYPE_p_int cast() { + long cPtr = swigfaissJNI.intArray_cast(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_int(cPtr, false); + } + + public static intArray frompointer(SWIGTYPE_p_int t) { + long cPtr = swigfaissJNI.intArray_frompointer(SWIGTYPE_p_int.getCPtr(t)); + return (cPtr == 0) ? null : new intArray(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/int_maxheap_array_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/int_maxheap_array_t.java new file mode 100644 index 000000000..07bf7a570 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/int_maxheap_array_t.java @@ -0,0 +1,133 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class int_maxheap_array_t { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected int_maxheap_array_t(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(int_maxheap_array_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_int_maxheap_array_t(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNh(long value) { + swigfaissJNI.int_maxheap_array_t_nh_set(swigCPtr, this, value); + } + + public long getNh() { + return swigfaissJNI.int_maxheap_array_t_nh_get(swigCPtr, this); + } + + public void setK(long value) { + swigfaissJNI.int_maxheap_array_t_k_set(swigCPtr, this, value); + } + + public long getK() { + return swigfaissJNI.int_maxheap_array_t_k_get(swigCPtr, this); + } + + public void setIds(LongVector value) { + swigfaissJNI.int_maxheap_array_t_ids_set(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(value.data()), value); + } + + public LongVector getIds() { + return new LongVector(swigfaissJNI.int_maxheap_array_t_ids_get(swigCPtr, this), false); +} + + public void setVal(SWIGTYPE_p_int value) { + swigfaissJNI.int_maxheap_array_t_val_set(swigCPtr, this, SWIGTYPE_p_int.getCPtr(value)); + } + + public SWIGTYPE_p_int getVal() { + long cPtr = swigfaissJNI.int_maxheap_array_t_val_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_int(cPtr, false); + } + + public SWIGTYPE_p_int get_val(long key) { + long cPtr = swigfaissJNI.int_maxheap_array_t_get_val(swigCPtr, this, key); + return (cPtr == 0) ? null : new SWIGTYPE_p_int(cPtr, false); + } + + public LongVector get_ids(long key) { + return new LongVector(swigfaissJNI.int_maxheap_array_t_get_ids(swigCPtr, this, key), false); +} + + public void heapify() { + swigfaissJNI.int_maxheap_array_t_heapify(swigCPtr, this); + } + + public void addn(long nj, SWIGTYPE_p_int vin, long j0, long i0, long ni) { + swigfaissJNI.int_maxheap_array_t_addn__SWIG_0(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), j0, i0, ni); + } + + public void addn(long nj, SWIGTYPE_p_int vin, long j0, long i0) { + swigfaissJNI.int_maxheap_array_t_addn__SWIG_1(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), j0, i0); + } + + public void addn(long nj, SWIGTYPE_p_int vin, long j0) { + swigfaissJNI.int_maxheap_array_t_addn__SWIG_2(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), j0); + } + + public void addn(long nj, SWIGTYPE_p_int vin) { + swigfaissJNI.int_maxheap_array_t_addn__SWIG_3(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin)); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin, LongVector id_in, long id_stride, long i0, long ni) { + swigfaissJNI.int_maxheap_array_t_addn_with_ids__SWIG_0(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride, i0, ni); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin, LongVector id_in, long id_stride, long i0) { + swigfaissJNI.int_maxheap_array_t_addn_with_ids__SWIG_1(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride, i0); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin, LongVector id_in, long id_stride) { + swigfaissJNI.int_maxheap_array_t_addn_with_ids__SWIG_2(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin, LongVector id_in) { + swigfaissJNI.int_maxheap_array_t_addn_with_ids__SWIG_3(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin) { + swigfaissJNI.int_maxheap_array_t_addn_with_ids__SWIG_4(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin)); + } + + public void reorder() { + swigfaissJNI.int_maxheap_array_t_reorder(swigCPtr, this); + } + + public void per_line_extrema(SWIGTYPE_p_int vals_out, LongVector idx_out) { + swigfaissJNI.int_maxheap_array_t_per_line_extrema(swigCPtr, this, SWIGTYPE_p_int.getCPtr(vals_out), SWIGTYPE_p_long_long.getCPtr(idx_out.data()), idx_out); + } + + public int_maxheap_array_t() { + this(swigfaissJNI.new_int_maxheap_array_t(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/int_minheap_array_t.java b/ann/src/main/java/com/twitter/ann/faiss/swig/int_minheap_array_t.java new file mode 100644 index 000000000..0a6064876 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/int_minheap_array_t.java @@ -0,0 +1,133 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class int_minheap_array_t { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected int_minheap_array_t(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(int_minheap_array_t obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_int_minheap_array_t(swigCPtr); + } + swigCPtr = 0; + } + } + + public void setNh(long value) { + swigfaissJNI.int_minheap_array_t_nh_set(swigCPtr, this, value); + } + + public long getNh() { + return swigfaissJNI.int_minheap_array_t_nh_get(swigCPtr, this); + } + + public void setK(long value) { + swigfaissJNI.int_minheap_array_t_k_set(swigCPtr, this, value); + } + + public long getK() { + return swigfaissJNI.int_minheap_array_t_k_get(swigCPtr, this); + } + + public void setIds(LongVector value) { + swigfaissJNI.int_minheap_array_t_ids_set(swigCPtr, this, SWIGTYPE_p_long_long.getCPtr(value.data()), value); + } + + public LongVector getIds() { + return new LongVector(swigfaissJNI.int_minheap_array_t_ids_get(swigCPtr, this), false); +} + + public void setVal(SWIGTYPE_p_int value) { + swigfaissJNI.int_minheap_array_t_val_set(swigCPtr, this, SWIGTYPE_p_int.getCPtr(value)); + } + + public SWIGTYPE_p_int getVal() { + long cPtr = swigfaissJNI.int_minheap_array_t_val_get(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_int(cPtr, false); + } + + public SWIGTYPE_p_int get_val(long key) { + long cPtr = swigfaissJNI.int_minheap_array_t_get_val(swigCPtr, this, key); + return (cPtr == 0) ? null : new SWIGTYPE_p_int(cPtr, false); + } + + public LongVector get_ids(long key) { + return new LongVector(swigfaissJNI.int_minheap_array_t_get_ids(swigCPtr, this, key), false); +} + + public void heapify() { + swigfaissJNI.int_minheap_array_t_heapify(swigCPtr, this); + } + + public void addn(long nj, SWIGTYPE_p_int vin, long j0, long i0, long ni) { + swigfaissJNI.int_minheap_array_t_addn__SWIG_0(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), j0, i0, ni); + } + + public void addn(long nj, SWIGTYPE_p_int vin, long j0, long i0) { + swigfaissJNI.int_minheap_array_t_addn__SWIG_1(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), j0, i0); + } + + public void addn(long nj, SWIGTYPE_p_int vin, long j0) { + swigfaissJNI.int_minheap_array_t_addn__SWIG_2(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), j0); + } + + public void addn(long nj, SWIGTYPE_p_int vin) { + swigfaissJNI.int_minheap_array_t_addn__SWIG_3(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin)); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin, LongVector id_in, long id_stride, long i0, long ni) { + swigfaissJNI.int_minheap_array_t_addn_with_ids__SWIG_0(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride, i0, ni); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin, LongVector id_in, long id_stride, long i0) { + swigfaissJNI.int_minheap_array_t_addn_with_ids__SWIG_1(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride, i0); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin, LongVector id_in, long id_stride) { + swigfaissJNI.int_minheap_array_t_addn_with_ids__SWIG_2(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in, id_stride); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin, LongVector id_in) { + swigfaissJNI.int_minheap_array_t_addn_with_ids__SWIG_3(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin), SWIGTYPE_p_long_long.getCPtr(id_in.data()), id_in); + } + + public void addn_with_ids(long nj, SWIGTYPE_p_int vin) { + swigfaissJNI.int_minheap_array_t_addn_with_ids__SWIG_4(swigCPtr, this, nj, SWIGTYPE_p_int.getCPtr(vin)); + } + + public void reorder() { + swigfaissJNI.int_minheap_array_t_reorder(swigCPtr, this); + } + + public void per_line_extrema(SWIGTYPE_p_int vals_out, LongVector idx_out) { + swigfaissJNI.int_minheap_array_t_per_line_extrema(swigCPtr, this, SWIGTYPE_p_int.getCPtr(vals_out), SWIGTYPE_p_long_long.getCPtr(idx_out.data()), idx_out); + } + + public int_minheap_array_t() { + this(swigfaissJNI.new_int_minheap_array_t(), true); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/longArray.java b/ann/src/main/java/com/twitter/ann/faiss/swig/longArray.java new file mode 100644 index 000000000..6d51d8fae --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/longArray.java @@ -0,0 +1,61 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class longArray { + private transient long swigCPtr; + protected transient boolean swigCMemOwn; + + protected longArray(long cPtr, boolean cMemoryOwn) { + swigCMemOwn = cMemoryOwn; + swigCPtr = cPtr; + } + + protected static long getCPtr(longArray obj) { + return (obj == null) ? 0 : obj.swigCPtr; + } + + @SuppressWarnings("deprecation") + protected void finalize() { + delete(); + } + + public synchronized void delete() { + if (swigCPtr != 0) { + if (swigCMemOwn) { + swigCMemOwn = false; + swigfaissJNI.delete_longArray(swigCPtr); + } + swigCPtr = 0; + } + } + + public longArray(int nelements) { + this(swigfaissJNI.new_longArray(nelements), true); + } + + public long getitem(int index) { + return swigfaissJNI.longArray_getitem(swigCPtr, this, index); + } + + public void setitem(int index, long value) { + swigfaissJNI.longArray_setitem(swigCPtr, this, index, value); + } + + public SWIGTYPE_p_long_long cast() { + long cPtr = swigfaissJNI.longArray_cast(swigCPtr, this); + return (cPtr == 0) ? null : new SWIGTYPE_p_long_long(cPtr, false); + } + + public static longArray frompointer(SWIGTYPE_p_long_long t) { + long cPtr = swigfaissJNI.longArray_frompointer(SWIGTYPE_p_long_long.getCPtr(t)); + return (cPtr == 0) ? null : new longArray(cPtr, false); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/resources/.gitignore b/ann/src/main/java/com/twitter/ann/faiss/swig/resources/.gitignore new file mode 100644 index 000000000..caf63c285 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/resources/.gitignore @@ -0,0 +1,7 @@ +*.so +*.so.0 +*.so.1 +*.so.3 +*.so.5 +*.so.6 +*.dylib diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/resources/.gitkeep b/ann/src/main/java/com/twitter/ann/faiss/swig/resources/.gitkeep new file mode 100644 index 000000000..e69de29bb diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/resources/BUILD b/ann/src/main/java/com/twitter/ann/faiss/swig/resources/BUILD new file mode 100644 index 000000000..58ba4703b --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/resources/BUILD @@ -0,0 +1,17 @@ +resources( + name = "resources", + sources = [ + "*.dylib", + "*.so", + "*.so.0", + "*.so.1", + "*.so.3", + "*.so.5", + "*.so.6", + ], + tags = [ + "bazel-compatible", + "bazel-only", + "visibility://visibility:private", + ], +) diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaiss.java b/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaiss.java new file mode 100644 index 000000000..d55793a69 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaiss.java @@ -0,0 +1,575 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public class swigfaiss implements swigfaissConstants { + public static void bitvec_print(SWIGTYPE_p_unsigned_char b, long d) { + swigfaissJNI.bitvec_print(SWIGTYPE_p_unsigned_char.getCPtr(b), d); + } + + public static void fvecs2bitvecs(SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char b, long d, long n) { + swigfaissJNI.fvecs2bitvecs(SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(b), d, n); + } + + public static void bitvecs2fvecs(SWIGTYPE_p_unsigned_char b, SWIGTYPE_p_float x, long d, long n) { + swigfaissJNI.bitvecs2fvecs(SWIGTYPE_p_unsigned_char.getCPtr(b), SWIGTYPE_p_float.getCPtr(x), d, n); + } + + public static void fvec2bitvec(SWIGTYPE_p_float x, SWIGTYPE_p_unsigned_char b, long d) { + swigfaissJNI.fvec2bitvec(SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_unsigned_char.getCPtr(b), d); + } + + public static void bitvec_shuffle(long n, long da, long db, SWIGTYPE_p_int order, SWIGTYPE_p_unsigned_char a, SWIGTYPE_p_unsigned_char b) { + swigfaissJNI.bitvec_shuffle(n, da, db, SWIGTYPE_p_int.getCPtr(order), SWIGTYPE_p_unsigned_char.getCPtr(a), SWIGTYPE_p_unsigned_char.getCPtr(b)); + } + + public static void setHamming_batch_size(long value) { + swigfaissJNI.hamming_batch_size_set(value); + } + + public static long getHamming_batch_size() { + return swigfaissJNI.hamming_batch_size_get(); + } + + public static int popcount64(long x) { + return swigfaissJNI.popcount64(x); + } + + public static void hammings(SWIGTYPE_p_unsigned_char a, SWIGTYPE_p_unsigned_char b, long na, long nb, long nbytespercode, SWIGTYPE_p_int dis) { + swigfaissJNI.hammings(SWIGTYPE_p_unsigned_char.getCPtr(a), SWIGTYPE_p_unsigned_char.getCPtr(b), na, nb, nbytespercode, SWIGTYPE_p_int.getCPtr(dis)); + } + + public static void hammings_knn_hc(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t ha, SWIGTYPE_p_unsigned_char a, SWIGTYPE_p_unsigned_char b, long nb, long ncodes, int ordered) { + swigfaissJNI.hammings_knn_hc(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t.getCPtr(ha), SWIGTYPE_p_unsigned_char.getCPtr(a), SWIGTYPE_p_unsigned_char.getCPtr(b), nb, ncodes, ordered); + } + + public static void hammings_knn(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t ha, SWIGTYPE_p_unsigned_char a, SWIGTYPE_p_unsigned_char b, long nb, long ncodes, int ordered) { + swigfaissJNI.hammings_knn(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t.getCPtr(ha), SWIGTYPE_p_unsigned_char.getCPtr(a), SWIGTYPE_p_unsigned_char.getCPtr(b), nb, ncodes, ordered); + } + + public static void hammings_knn_mc(SWIGTYPE_p_unsigned_char a, SWIGTYPE_p_unsigned_char b, long na, long nb, long k, long ncodes, SWIGTYPE_p_int distances, LongVector labels) { + swigfaissJNI.hammings_knn_mc(SWIGTYPE_p_unsigned_char.getCPtr(a), SWIGTYPE_p_unsigned_char.getCPtr(b), na, nb, k, ncodes, SWIGTYPE_p_int.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels); + } + + public static void hamming_range_search(SWIGTYPE_p_unsigned_char a, SWIGTYPE_p_unsigned_char b, long na, long nb, int radius, long ncodes, RangeSearchResult result) { + swigfaissJNI.hamming_range_search(SWIGTYPE_p_unsigned_char.getCPtr(a), SWIGTYPE_p_unsigned_char.getCPtr(b), na, nb, radius, ncodes, RangeSearchResult.getCPtr(result), result); + } + + public static void hamming_count_thres(SWIGTYPE_p_unsigned_char bs1, SWIGTYPE_p_unsigned_char bs2, long n1, long n2, int ht, long ncodes, SWIGTYPE_p_unsigned_long nptr) { + swigfaissJNI.hamming_count_thres(SWIGTYPE_p_unsigned_char.getCPtr(bs1), SWIGTYPE_p_unsigned_char.getCPtr(bs2), n1, n2, ht, ncodes, SWIGTYPE_p_unsigned_long.getCPtr(nptr)); + } + + public static long match_hamming_thres(SWIGTYPE_p_unsigned_char bs1, SWIGTYPE_p_unsigned_char bs2, long n1, long n2, int ht, long ncodes, LongVector idx, SWIGTYPE_p_int dis) { + return swigfaissJNI.match_hamming_thres(SWIGTYPE_p_unsigned_char.getCPtr(bs1), SWIGTYPE_p_unsigned_char.getCPtr(bs2), n1, n2, ht, ncodes, SWIGTYPE_p_long_long.getCPtr(idx.data()), idx, SWIGTYPE_p_int.getCPtr(dis)); + } + + public static void crosshamming_count_thres(SWIGTYPE_p_unsigned_char dbs, long n, int ht, long ncodes, SWIGTYPE_p_unsigned_long nptr) { + swigfaissJNI.crosshamming_count_thres(SWIGTYPE_p_unsigned_char.getCPtr(dbs), n, ht, ncodes, SWIGTYPE_p_unsigned_long.getCPtr(nptr)); + } + + public static int get_num_gpus() { + return swigfaissJNI.get_num_gpus(); + } + + public static String get_compile_options() { + return swigfaissJNI.get_compile_options(); + } + + public static double getmillisecs() { + return swigfaissJNI.getmillisecs(); + } + + public static long get_mem_usage_kb() { + return swigfaissJNI.get_mem_usage_kb(); + } + + public static long get_cycles() { + return swigfaissJNI.get_cycles(); + } + + public static void fvec_madd(long n, SWIGTYPE_p_float a, float bf, SWIGTYPE_p_float b, SWIGTYPE_p_float c) { + swigfaissJNI.fvec_madd(n, SWIGTYPE_p_float.getCPtr(a), bf, SWIGTYPE_p_float.getCPtr(b), SWIGTYPE_p_float.getCPtr(c)); + } + + public static int fvec_madd_and_argmin(long n, SWIGTYPE_p_float a, float bf, SWIGTYPE_p_float b, SWIGTYPE_p_float c) { + return swigfaissJNI.fvec_madd_and_argmin(n, SWIGTYPE_p_float.getCPtr(a), bf, SWIGTYPE_p_float.getCPtr(b), SWIGTYPE_p_float.getCPtr(c)); + } + + public static void reflection(SWIGTYPE_p_float u, SWIGTYPE_p_float x, long n, long d, long nu) { + swigfaissJNI.reflection(SWIGTYPE_p_float.getCPtr(u), SWIGTYPE_p_float.getCPtr(x), n, d, nu); + } + + public static void matrix_qr(int m, int n, SWIGTYPE_p_float a) { + swigfaissJNI.matrix_qr(m, n, SWIGTYPE_p_float.getCPtr(a)); + } + + public static void ranklist_handle_ties(int k, LongVector idx, SWIGTYPE_p_float dis) { + swigfaissJNI.ranklist_handle_ties(k, SWIGTYPE_p_long_long.getCPtr(idx.data()), idx, SWIGTYPE_p_float.getCPtr(dis)); + } + + public static long ranklist_intersection_size(long k1, LongVector v1, long k2, LongVector v2) { + return swigfaissJNI.ranklist_intersection_size(k1, SWIGTYPE_p_long_long.getCPtr(v1.data()), v1, k2, SWIGTYPE_p_long_long.getCPtr(v2.data()), v2); + } + + public static long merge_result_table_with(long n, long k, LongVector I0, SWIGTYPE_p_float D0, LongVector I1, SWIGTYPE_p_float D1, boolean keep_min, long translation) { + return swigfaissJNI.merge_result_table_with__SWIG_0(n, k, SWIGTYPE_p_long_long.getCPtr(I0.data()), I0, SWIGTYPE_p_float.getCPtr(D0), SWIGTYPE_p_long_long.getCPtr(I1.data()), I1, SWIGTYPE_p_float.getCPtr(D1), keep_min, translation); + } + + public static long merge_result_table_with(long n, long k, LongVector I0, SWIGTYPE_p_float D0, LongVector I1, SWIGTYPE_p_float D1, boolean keep_min) { + return swigfaissJNI.merge_result_table_with__SWIG_1(n, k, SWIGTYPE_p_long_long.getCPtr(I0.data()), I0, SWIGTYPE_p_float.getCPtr(D0), SWIGTYPE_p_long_long.getCPtr(I1.data()), I1, SWIGTYPE_p_float.getCPtr(D1), keep_min); + } + + public static long merge_result_table_with(long n, long k, LongVector I0, SWIGTYPE_p_float D0, LongVector I1, SWIGTYPE_p_float D1) { + return swigfaissJNI.merge_result_table_with__SWIG_2(n, k, SWIGTYPE_p_long_long.getCPtr(I0.data()), I0, SWIGTYPE_p_float.getCPtr(D0), SWIGTYPE_p_long_long.getCPtr(I1.data()), I1, SWIGTYPE_p_float.getCPtr(D1)); + } + + public static double imbalance_factor(int n, int k, LongVector assign) { + return swigfaissJNI.imbalance_factor__SWIG_0(n, k, SWIGTYPE_p_long_long.getCPtr(assign.data()), assign); + } + + public static double imbalance_factor(int k, SWIGTYPE_p_int hist) { + return swigfaissJNI.imbalance_factor__SWIG_1(k, SWIGTYPE_p_int.getCPtr(hist)); + } + + public static void fvec_argsort(long n, SWIGTYPE_p_float vals, SWIGTYPE_p_unsigned_long perm) { + swigfaissJNI.fvec_argsort(n, SWIGTYPE_p_float.getCPtr(vals), SWIGTYPE_p_unsigned_long.getCPtr(perm)); + } + + public static void fvec_argsort_parallel(long n, SWIGTYPE_p_float vals, SWIGTYPE_p_unsigned_long perm) { + swigfaissJNI.fvec_argsort_parallel(n, SWIGTYPE_p_float.getCPtr(vals), SWIGTYPE_p_unsigned_long.getCPtr(perm)); + } + + public static int ivec_hist(long n, SWIGTYPE_p_int v, int vmax, SWIGTYPE_p_int hist) { + return swigfaissJNI.ivec_hist(n, SWIGTYPE_p_int.getCPtr(v), vmax, SWIGTYPE_p_int.getCPtr(hist)); + } + + public static void bincode_hist(long n, long nbits, SWIGTYPE_p_unsigned_char codes, SWIGTYPE_p_int hist) { + swigfaissJNI.bincode_hist(n, nbits, SWIGTYPE_p_unsigned_char.getCPtr(codes), SWIGTYPE_p_int.getCPtr(hist)); + } + + public static long ivec_checksum(long n, SWIGTYPE_p_int a) { + return swigfaissJNI.ivec_checksum(n, SWIGTYPE_p_int.getCPtr(a)); + } + + public static SWIGTYPE_p_float fvecs_maybe_subsample(long d, SWIGTYPE_p_unsigned_long n, long nmax, SWIGTYPE_p_float x, boolean verbose, long seed) { + long cPtr = swigfaissJNI.fvecs_maybe_subsample__SWIG_0(d, SWIGTYPE_p_unsigned_long.getCPtr(n), nmax, SWIGTYPE_p_float.getCPtr(x), verbose, seed); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public static SWIGTYPE_p_float fvecs_maybe_subsample(long d, SWIGTYPE_p_unsigned_long n, long nmax, SWIGTYPE_p_float x, boolean verbose) { + long cPtr = swigfaissJNI.fvecs_maybe_subsample__SWIG_1(d, SWIGTYPE_p_unsigned_long.getCPtr(n), nmax, SWIGTYPE_p_float.getCPtr(x), verbose); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public static SWIGTYPE_p_float fvecs_maybe_subsample(long d, SWIGTYPE_p_unsigned_long n, long nmax, SWIGTYPE_p_float x) { + long cPtr = swigfaissJNI.fvecs_maybe_subsample__SWIG_2(d, SWIGTYPE_p_unsigned_long.getCPtr(n), nmax, SWIGTYPE_p_float.getCPtr(x)); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public static void binary_to_real(long d, SWIGTYPE_p_unsigned_char x_in, SWIGTYPE_p_float x_out) { + swigfaissJNI.binary_to_real(d, SWIGTYPE_p_unsigned_char.getCPtr(x_in), SWIGTYPE_p_float.getCPtr(x_out)); + } + + public static void real_to_binary(long d, SWIGTYPE_p_float x_in, SWIGTYPE_p_unsigned_char x_out) { + swigfaissJNI.real_to_binary(d, SWIGTYPE_p_float.getCPtr(x_in), SWIGTYPE_p_unsigned_char.getCPtr(x_out)); + } + + public static long hash_bytes(SWIGTYPE_p_unsigned_char bytes, long n) { + return swigfaissJNI.hash_bytes(SWIGTYPE_p_unsigned_char.getCPtr(bytes), n); + } + + public static boolean check_openmp() { + return swigfaissJNI.check_openmp(); + } + + public static float kmeans_clustering(long d, long n, long k, SWIGTYPE_p_float x, SWIGTYPE_p_float centroids) { + return swigfaissJNI.kmeans_clustering(d, n, k, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(centroids)); + } + + public static void setIndexPQ_stats(IndexPQStats value) { + swigfaissJNI.indexPQ_stats_set(IndexPQStats.getCPtr(value), value); + } + + public static IndexPQStats getIndexPQ_stats() { + long cPtr = swigfaissJNI.indexPQ_stats_get(); + return (cPtr == 0) ? null : new IndexPQStats(cPtr, false); + } + + public static void setIndexIVF_stats(IndexIVFStats value) { + swigfaissJNI.indexIVF_stats_set(IndexIVFStats.getCPtr(value), value); + } + + public static IndexIVFStats getIndexIVF_stats() { + long cPtr = swigfaissJNI.indexIVF_stats_get(); + return (cPtr == 0) ? null : new IndexIVFStats(cPtr, false); + } + + public static short[] getHamdis_tab_ham_bytes() { + return swigfaissJNI.hamdis_tab_ham_bytes_get(); + } + + public static int generalized_hamming_64(long a) { + return swigfaissJNI.generalized_hamming_64(a); + } + + public static void generalized_hammings_knn_hc(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t ha, SWIGTYPE_p_unsigned_char a, SWIGTYPE_p_unsigned_char b, long nb, long code_size, int ordered) { + swigfaissJNI.generalized_hammings_knn_hc__SWIG_0(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t.getCPtr(ha), SWIGTYPE_p_unsigned_char.getCPtr(a), SWIGTYPE_p_unsigned_char.getCPtr(b), nb, code_size, ordered); + } + + public static void generalized_hammings_knn_hc(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t ha, SWIGTYPE_p_unsigned_char a, SWIGTYPE_p_unsigned_char b, long nb, long code_size) { + swigfaissJNI.generalized_hammings_knn_hc__SWIG_1(SWIGTYPE_p_faiss__HeapArrayT_faiss__CMaxT_int_int64_t_t_t.getCPtr(ha), SWIGTYPE_p_unsigned_char.getCPtr(a), SWIGTYPE_p_unsigned_char.getCPtr(b), nb, code_size); + } + + public static void check_compatible_for_merge(Index index1, Index index2) { + swigfaissJNI.check_compatible_for_merge(Index.getCPtr(index1), index1, Index.getCPtr(index2), index2); + } + + public static IndexIVF extract_index_ivf(Index index) { + long cPtr = swigfaissJNI.extract_index_ivf__SWIG_0(Index.getCPtr(index), index); + return (cPtr == 0) ? null : new IndexIVF(cPtr, false); + } + + public static IndexIVF try_extract_index_ivf(Index index) { + long cPtr = swigfaissJNI.try_extract_index_ivf__SWIG_0(Index.getCPtr(index), index); + return (cPtr == 0) ? null : new IndexIVF(cPtr, false); + } + + public static void merge_into(Index index0, Index index1, boolean shift_ids) { + swigfaissJNI.merge_into(Index.getCPtr(index0), index0, Index.getCPtr(index1), index1, shift_ids); + } + + public static void search_centroid(Index index, SWIGTYPE_p_float x, int n, LongVector centroid_ids) { + swigfaissJNI.search_centroid(Index.getCPtr(index), index, SWIGTYPE_p_float.getCPtr(x), n, SWIGTYPE_p_long_long.getCPtr(centroid_ids.data()), centroid_ids); + } + + public static void search_and_return_centroids(Index index, long n, SWIGTYPE_p_float xin, int k, SWIGTYPE_p_float distances, LongVector labels, LongVector query_centroid_ids, LongVector result_centroid_ids) { + swigfaissJNI.search_and_return_centroids(Index.getCPtr(index), index, n, SWIGTYPE_p_float.getCPtr(xin), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, SWIGTYPE_p_long_long.getCPtr(query_centroid_ids.data()), query_centroid_ids, SWIGTYPE_p_long_long.getCPtr(result_centroid_ids.data()), result_centroid_ids); + } + + public static ArrayInvertedLists get_invlist_range(Index index, int i0, int i1) { + long cPtr = swigfaissJNI.get_invlist_range(Index.getCPtr(index), index, i0, i1); + return (cPtr == 0) ? null : new ArrayInvertedLists(cPtr, false); + } + + public static void set_invlist_range(Index index, int i0, int i1, ArrayInvertedLists src) { + swigfaissJNI.set_invlist_range(Index.getCPtr(index), index, i0, i1, ArrayInvertedLists.getCPtr(src), src); + } + + public static void search_with_parameters(Index index, long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels, IVFSearchParameters params, SWIGTYPE_p_unsigned_long nb_dis, SWIGTYPE_p_double ms_per_stage) { + swigfaissJNI.search_with_parameters__SWIG_0(Index.getCPtr(index), index, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, IVFSearchParameters.getCPtr(params), params, SWIGTYPE_p_unsigned_long.getCPtr(nb_dis), SWIGTYPE_p_double.getCPtr(ms_per_stage)); + } + + public static void search_with_parameters(Index index, long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels, IVFSearchParameters params, SWIGTYPE_p_unsigned_long nb_dis) { + swigfaissJNI.search_with_parameters__SWIG_1(Index.getCPtr(index), index, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, IVFSearchParameters.getCPtr(params), params, SWIGTYPE_p_unsigned_long.getCPtr(nb_dis)); + } + + public static void search_with_parameters(Index index, long n, SWIGTYPE_p_float x, long k, SWIGTYPE_p_float distances, LongVector labels, IVFSearchParameters params) { + swigfaissJNI.search_with_parameters__SWIG_2(Index.getCPtr(index), index, n, SWIGTYPE_p_float.getCPtr(x), k, SWIGTYPE_p_float.getCPtr(distances), SWIGTYPE_p_long_long.getCPtr(labels.data()), labels, IVFSearchParameters.getCPtr(params), params); + } + + public static void range_search_with_parameters(Index index, long n, SWIGTYPE_p_float x, float radius, RangeSearchResult result, IVFSearchParameters params, SWIGTYPE_p_unsigned_long nb_dis, SWIGTYPE_p_double ms_per_stage) { + swigfaissJNI.range_search_with_parameters__SWIG_0(Index.getCPtr(index), index, n, SWIGTYPE_p_float.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result, IVFSearchParameters.getCPtr(params), params, SWIGTYPE_p_unsigned_long.getCPtr(nb_dis), SWIGTYPE_p_double.getCPtr(ms_per_stage)); + } + + public static void range_search_with_parameters(Index index, long n, SWIGTYPE_p_float x, float radius, RangeSearchResult result, IVFSearchParameters params, SWIGTYPE_p_unsigned_long nb_dis) { + swigfaissJNI.range_search_with_parameters__SWIG_1(Index.getCPtr(index), index, n, SWIGTYPE_p_float.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result, IVFSearchParameters.getCPtr(params), params, SWIGTYPE_p_unsigned_long.getCPtr(nb_dis)); + } + + public static void range_search_with_parameters(Index index, long n, SWIGTYPE_p_float x, float radius, RangeSearchResult result, IVFSearchParameters params) { + swigfaissJNI.range_search_with_parameters__SWIG_2(Index.getCPtr(index), index, n, SWIGTYPE_p_float.getCPtr(x), radius, RangeSearchResult.getCPtr(result), result, IVFSearchParameters.getCPtr(params), params); + } + + public static void setHnsw_stats(HNSWStats value) { + swigfaissJNI.hnsw_stats_set(HNSWStats.getCPtr(value), value); + } + + public static HNSWStats getHnsw_stats() { + long cPtr = swigfaissJNI.hnsw_stats_get(); + return (cPtr == 0) ? null : new HNSWStats(cPtr, false); + } + + public static void setPrecomputed_table_max_bytes(long value) { + swigfaissJNI.precomputed_table_max_bytes_set(value); + } + + public static long getPrecomputed_table_max_bytes() { + return swigfaissJNI.precomputed_table_max_bytes_get(); + } + + public static void initialize_IVFPQ_precomputed_table(SWIGTYPE_p_int use_precomputed_table, Index quantizer, ProductQuantizer pq, SWIGTYPE_p_AlignedTableT_float_32_t precomputed_table, boolean verbose) { + swigfaissJNI.initialize_IVFPQ_precomputed_table(SWIGTYPE_p_int.getCPtr(use_precomputed_table), Index.getCPtr(quantizer), quantizer, ProductQuantizer.getCPtr(pq), pq, SWIGTYPE_p_AlignedTableT_float_32_t.getCPtr(precomputed_table), verbose); + } + + public static void setIndexIVFPQ_stats(IndexIVFPQStats value) { + swigfaissJNI.indexIVFPQ_stats_set(IndexIVFPQStats.getCPtr(value), value); + } + + public static IndexIVFPQStats getIndexIVFPQ_stats() { + long cPtr = swigfaissJNI.indexIVFPQ_stats_get(); + return (cPtr == 0) ? null : new IndexIVFPQStats(cPtr, false); + } + + public static Index downcast_index(Index index) { + long cPtr = swigfaissJNI.downcast_index(Index.getCPtr(index), index); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public static VectorTransform downcast_VectorTransform(VectorTransform vt) { + long cPtr = swigfaissJNI.downcast_VectorTransform(VectorTransform.getCPtr(vt), vt); + return (cPtr == 0) ? null : new VectorTransform(cPtr, false); + } + + public static IndexBinary downcast_IndexBinary(IndexBinary index) { + long cPtr = swigfaissJNI.downcast_IndexBinary(IndexBinary.getCPtr(index), index); + return (cPtr == 0) ? null : new IndexBinary(cPtr, false); + } + + public static Index upcast_IndexShards(IndexShards index) { + long cPtr = swigfaissJNI.upcast_IndexShards(IndexShards.getCPtr(index), index); + return (cPtr == 0) ? null : new Index(cPtr, false); + } + + public static void write_index(Index idx, String fname) { + swigfaissJNI.write_index__SWIG_0(Index.getCPtr(idx), idx, fname); + } + + public static void write_index(Index idx, SWIGTYPE_p_FILE f) { + swigfaissJNI.write_index__SWIG_1(Index.getCPtr(idx), idx, SWIGTYPE_p_FILE.getCPtr(f)); + } + + public static void write_index(Index idx, SWIGTYPE_p_faiss__IOWriter writer) { + swigfaissJNI.write_index__SWIG_2(Index.getCPtr(idx), idx, SWIGTYPE_p_faiss__IOWriter.getCPtr(writer)); + } + + public static void write_index_binary(IndexBinary idx, String fname) { + swigfaissJNI.write_index_binary__SWIG_0(IndexBinary.getCPtr(idx), idx, fname); + } + + public static void write_index_binary(IndexBinary idx, SWIGTYPE_p_FILE f) { + swigfaissJNI.write_index_binary__SWIG_1(IndexBinary.getCPtr(idx), idx, SWIGTYPE_p_FILE.getCPtr(f)); + } + + public static void write_index_binary(IndexBinary idx, SWIGTYPE_p_faiss__IOWriter writer) { + swigfaissJNI.write_index_binary__SWIG_2(IndexBinary.getCPtr(idx), idx, SWIGTYPE_p_faiss__IOWriter.getCPtr(writer)); + } + + public static int getIO_FLAG_READ_ONLY() { + return swigfaissJNI.IO_FLAG_READ_ONLY_get(); + } + + public static int getIO_FLAG_ONDISK_SAME_DIR() { + return swigfaissJNI.IO_FLAG_ONDISK_SAME_DIR_get(); + } + + public static int getIO_FLAG_SKIP_IVF_DATA() { + return swigfaissJNI.IO_FLAG_SKIP_IVF_DATA_get(); + } + + public static int getIO_FLAG_MMAP() { + return swigfaissJNI.IO_FLAG_MMAP_get(); + } + + public static Index read_index(String fname, int io_flags) { + long cPtr = swigfaissJNI.read_index__SWIG_0(fname, io_flags); + return (cPtr == 0) ? null : new Index(cPtr, true); + } + + public static Index read_index(String fname) { + long cPtr = swigfaissJNI.read_index__SWIG_1(fname); + return (cPtr == 0) ? null : new Index(cPtr, true); + } + + public static Index read_index(SWIGTYPE_p_FILE f, int io_flags) { + long cPtr = swigfaissJNI.read_index__SWIG_2(SWIGTYPE_p_FILE.getCPtr(f), io_flags); + return (cPtr == 0) ? null : new Index(cPtr, true); + } + + public static Index read_index(SWIGTYPE_p_FILE f) { + long cPtr = swigfaissJNI.read_index__SWIG_3(SWIGTYPE_p_FILE.getCPtr(f)); + return (cPtr == 0) ? null : new Index(cPtr, true); + } + + public static Index read_index(SWIGTYPE_p_faiss__IOReader reader, int io_flags) { + long cPtr = swigfaissJNI.read_index__SWIG_4(SWIGTYPE_p_faiss__IOReader.getCPtr(reader), io_flags); + return (cPtr == 0) ? null : new Index(cPtr, true); + } + + public static Index read_index(SWIGTYPE_p_faiss__IOReader reader) { + long cPtr = swigfaissJNI.read_index__SWIG_5(SWIGTYPE_p_faiss__IOReader.getCPtr(reader)); + return (cPtr == 0) ? null : new Index(cPtr, true); + } + + public static IndexBinary read_index_binary(String fname, int io_flags) { + long cPtr = swigfaissJNI.read_index_binary__SWIG_0(fname, io_flags); + return (cPtr == 0) ? null : new IndexBinary(cPtr, true); + } + + public static IndexBinary read_index_binary(String fname) { + long cPtr = swigfaissJNI.read_index_binary__SWIG_1(fname); + return (cPtr == 0) ? null : new IndexBinary(cPtr, true); + } + + public static IndexBinary read_index_binary(SWIGTYPE_p_FILE f, int io_flags) { + long cPtr = swigfaissJNI.read_index_binary__SWIG_2(SWIGTYPE_p_FILE.getCPtr(f), io_flags); + return (cPtr == 0) ? null : new IndexBinary(cPtr, true); + } + + public static IndexBinary read_index_binary(SWIGTYPE_p_FILE f) { + long cPtr = swigfaissJNI.read_index_binary__SWIG_3(SWIGTYPE_p_FILE.getCPtr(f)); + return (cPtr == 0) ? null : new IndexBinary(cPtr, true); + } + + public static IndexBinary read_index_binary(SWIGTYPE_p_faiss__IOReader reader, int io_flags) { + long cPtr = swigfaissJNI.read_index_binary__SWIG_4(SWIGTYPE_p_faiss__IOReader.getCPtr(reader), io_flags); + return (cPtr == 0) ? null : new IndexBinary(cPtr, true); + } + + public static IndexBinary read_index_binary(SWIGTYPE_p_faiss__IOReader reader) { + long cPtr = swigfaissJNI.read_index_binary__SWIG_5(SWIGTYPE_p_faiss__IOReader.getCPtr(reader)); + return (cPtr == 0) ? null : new IndexBinary(cPtr, true); + } + + public static void write_VectorTransform(VectorTransform vt, String fname) { + swigfaissJNI.write_VectorTransform(VectorTransform.getCPtr(vt), vt, fname); + } + + public static VectorTransform read_VectorTransform(String fname) { + long cPtr = swigfaissJNI.read_VectorTransform(fname); + return (cPtr == 0) ? null : new VectorTransform(cPtr, true); + } + + public static ProductQuantizer read_ProductQuantizer(String fname) { + long cPtr = swigfaissJNI.read_ProductQuantizer__SWIG_0(fname); + return (cPtr == 0) ? null : new ProductQuantizer(cPtr, true); + } + + public static ProductQuantizer read_ProductQuantizer(SWIGTYPE_p_faiss__IOReader reader) { + long cPtr = swigfaissJNI.read_ProductQuantizer__SWIG_1(SWIGTYPE_p_faiss__IOReader.getCPtr(reader)); + return (cPtr == 0) ? null : new ProductQuantizer(cPtr, true); + } + + public static void write_ProductQuantizer(ProductQuantizer pq, String fname) { + swigfaissJNI.write_ProductQuantizer__SWIG_0(ProductQuantizer.getCPtr(pq), pq, fname); + } + + public static void write_ProductQuantizer(ProductQuantizer pq, SWIGTYPE_p_faiss__IOWriter f) { + swigfaissJNI.write_ProductQuantizer__SWIG_1(ProductQuantizer.getCPtr(pq), pq, SWIGTYPE_p_faiss__IOWriter.getCPtr(f)); + } + + public static void write_InvertedLists(InvertedLists ils, SWIGTYPE_p_faiss__IOWriter f) { + swigfaissJNI.write_InvertedLists(InvertedLists.getCPtr(ils), ils, SWIGTYPE_p_faiss__IOWriter.getCPtr(f)); + } + + public static InvertedLists read_InvertedLists(SWIGTYPE_p_faiss__IOReader reader, int io_flags) { + long cPtr = swigfaissJNI.read_InvertedLists__SWIG_0(SWIGTYPE_p_faiss__IOReader.getCPtr(reader), io_flags); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public static InvertedLists read_InvertedLists(SWIGTYPE_p_faiss__IOReader reader) { + long cPtr = swigfaissJNI.read_InvertedLists__SWIG_1(SWIGTYPE_p_faiss__IOReader.getCPtr(reader)); + return (cPtr == 0) ? null : new InvertedLists(cPtr, false); + } + + public static Index index_factory(int d, String description, MetricType metric) { + long cPtr = swigfaissJNI.index_factory__SWIG_0(d, description, metric.swigValue()); + return (cPtr == 0) ? null : new Index(cPtr, true); + } + + public static Index index_factory(int d, String description) { + long cPtr = swigfaissJNI.index_factory__SWIG_1(d, description); + return (cPtr == 0) ? null : new Index(cPtr, true); + } + + public static void setIndex_factory_verbose(int value) { + swigfaissJNI.index_factory_verbose_set(value); + } + + public static int getIndex_factory_verbose() { + return swigfaissJNI.index_factory_verbose_get(); + } + + public static IndexBinary index_binary_factory(int d, String description) { + long cPtr = swigfaissJNI.index_binary_factory(d, description); + return (cPtr == 0) ? null : new IndexBinary(cPtr, true); + } + + public static void simd_histogram_8(SWIGTYPE_p_uint16_t data, int n, SWIGTYPE_p_uint16_t min, int shift, SWIGTYPE_p_int hist) { + swigfaissJNI.simd_histogram_8(SWIGTYPE_p_uint16_t.getCPtr(data), n, SWIGTYPE_p_uint16_t.getCPtr(min), shift, SWIGTYPE_p_int.getCPtr(hist)); + } + + public static void simd_histogram_16(SWIGTYPE_p_uint16_t data, int n, SWIGTYPE_p_uint16_t min, int shift, SWIGTYPE_p_int hist) { + swigfaissJNI.simd_histogram_16(SWIGTYPE_p_uint16_t.getCPtr(data), n, SWIGTYPE_p_uint16_t.getCPtr(min), shift, SWIGTYPE_p_int.getCPtr(hist)); + } + + public static void setPartition_stats(PartitionStats value) { + swigfaissJNI.partition_stats_set(PartitionStats.getCPtr(value), value); + } + + public static PartitionStats getPartition_stats() { + long cPtr = swigfaissJNI.partition_stats_get(); + return (cPtr == 0) ? null : new PartitionStats(cPtr, false); + } + + public static float CMin_float_partition_fuzzy(SWIGTYPE_p_float vals, LongVector ids, long n, long q_min, long q_max, SWIGTYPE_p_unsigned_long q_out) { + return swigfaissJNI.CMin_float_partition_fuzzy(SWIGTYPE_p_float.getCPtr(vals), SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, n, q_min, q_max, SWIGTYPE_p_unsigned_long.getCPtr(q_out)); + } + + public static float CMax_float_partition_fuzzy(SWIGTYPE_p_float vals, LongVector ids, long n, long q_min, long q_max, SWIGTYPE_p_unsigned_long q_out) { + return swigfaissJNI.CMax_float_partition_fuzzy(SWIGTYPE_p_float.getCPtr(vals), SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, n, q_min, q_max, SWIGTYPE_p_unsigned_long.getCPtr(q_out)); + } + + public static SWIGTYPE_p_uint16_t CMax_uint16_partition_fuzzy(SWIGTYPE_p_uint16_t vals, LongVector ids, long n, long q_min, long q_max, SWIGTYPE_p_unsigned_long q_out) { + return new SWIGTYPE_p_uint16_t(swigfaissJNI.CMax_uint16_partition_fuzzy__SWIG_0(SWIGTYPE_p_uint16_t.getCPtr(vals), SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, n, q_min, q_max, SWIGTYPE_p_unsigned_long.getCPtr(q_out)), true); + } + + public static SWIGTYPE_p_uint16_t CMin_uint16_partition_fuzzy(SWIGTYPE_p_uint16_t vals, LongVector ids, long n, long q_min, long q_max, SWIGTYPE_p_unsigned_long q_out) { + return new SWIGTYPE_p_uint16_t(swigfaissJNI.CMin_uint16_partition_fuzzy__SWIG_0(SWIGTYPE_p_uint16_t.getCPtr(vals), SWIGTYPE_p_long_long.getCPtr(ids.data()), ids, n, q_min, q_max, SWIGTYPE_p_unsigned_long.getCPtr(q_out)), true); + } + + public static SWIGTYPE_p_uint16_t CMax_uint16_partition_fuzzy(SWIGTYPE_p_uint16_t vals, SWIGTYPE_p_int ids, long n, long q_min, long q_max, SWIGTYPE_p_unsigned_long q_out) { + return new SWIGTYPE_p_uint16_t(swigfaissJNI.CMax_uint16_partition_fuzzy__SWIG_1(SWIGTYPE_p_uint16_t.getCPtr(vals), SWIGTYPE_p_int.getCPtr(ids), n, q_min, q_max, SWIGTYPE_p_unsigned_long.getCPtr(q_out)), true); + } + + public static SWIGTYPE_p_uint16_t CMin_uint16_partition_fuzzy(SWIGTYPE_p_uint16_t vals, SWIGTYPE_p_int ids, long n, long q_min, long q_max, SWIGTYPE_p_unsigned_long q_out) { + return new SWIGTYPE_p_uint16_t(swigfaissJNI.CMin_uint16_partition_fuzzy__SWIG_1(SWIGTYPE_p_uint16_t.getCPtr(vals), SWIGTYPE_p_int.getCPtr(ids), n, q_min, q_max, SWIGTYPE_p_unsigned_long.getCPtr(q_out)), true); + } + + public static void omp_set_num_threads(int num_threads) { + swigfaissJNI.omp_set_num_threads(num_threads); + } + + public static int omp_get_max_threads() { + return swigfaissJNI.omp_get_max_threads(); + } + + public static SWIGTYPE_p_void memcpy(SWIGTYPE_p_void dest, SWIGTYPE_p_void src, long n) { + long cPtr = swigfaissJNI.memcpy(SWIGTYPE_p_void.getCPtr(dest), SWIGTYPE_p_void.getCPtr(src), n); + return (cPtr == 0) ? null : new SWIGTYPE_p_void(cPtr, false); + } + + public static SWIGTYPE_p_float cast_integer_to_float_ptr(int x) { + long cPtr = swigfaissJNI.cast_integer_to_float_ptr(x); + return (cPtr == 0) ? null : new SWIGTYPE_p_float(cPtr, false); + } + + public static SWIGTYPE_p_long cast_integer_to_long_ptr(int x) { + long cPtr = swigfaissJNI.cast_integer_to_long_ptr(x); + return (cPtr == 0) ? null : new SWIGTYPE_p_long(cPtr, false); + } + + public static SWIGTYPE_p_int cast_integer_to_int_ptr(int x) { + long cPtr = swigfaissJNI.cast_integer_to_int_ptr(x); + return (cPtr == 0) ? null : new SWIGTYPE_p_int(cPtr, false); + } + + public static void ignore_SIGTTIN() { + swigfaissJNI.ignore_SIGTTIN(); + } + +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaissConstants.java b/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaissConstants.java new file mode 100644 index 000000000..30ba6abc3 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaissConstants.java @@ -0,0 +1,15 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; + +public interface swigfaissConstants { + public final static int FAISS_VERSION_MAJOR = swigfaissJNI.FAISS_VERSION_MAJOR_get(); + public final static int FAISS_VERSION_MINOR = swigfaissJNI.FAISS_VERSION_MINOR_get(); + public final static int FAISS_VERSION_PATCH = swigfaissJNI.FAISS_VERSION_PATCH_get(); +} diff --git a/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaissJNI.java b/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaissJNI.java new file mode 100644 index 000000000..9a5c19bea --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/faiss/swig/swigfaissJNI.java @@ -0,0 +1,2147 @@ +/* ---------------------------------------------------------------------------- + * This file was automatically generated by SWIG (http://www.swig.org). + * Version 4.0.2 + * + * Do not make changes to this file unless you know what you are doing--modify + * the SWIG interface file instead. + * ----------------------------------------------------------------------------- */ + +package com.twitter.ann.faiss; +import com.twitter.ann.faiss.NativeUtils; +public class swigfaissJNI { + + static { + try { + if (NativeUtils.getOperatingSystemType() == NativeUtils.OSType.MacOS) { + NativeUtils.loadLibraryFromJar("/com/twitter/ann/faiss/swig/resources/swigfaiss.dylib"); + } else { + NativeUtils.loadLibraryFromJar("/com/twitter/ann/faiss/swig/resources/libstdc++.so.6"); + NativeUtils.loadLibraryFromJar("/com/twitter/ann/faiss/swig/resources/libgcc_s.so.1"); + NativeUtils.loadLibraryFromJar("/com/twitter/ann/faiss/swig/resources/libgomp.so.1"); + NativeUtils.loadLibraryFromJar("/com/twitter/ann/faiss/swig/resources/libquadmath.so.0"); + NativeUtils.loadLibraryFromJar("/com/twitter/ann/faiss/swig/resources/libgfortran.so.5"); + NativeUtils.loadLibraryFromJar("/com/twitter/ann/faiss/swig/resources/swigfaiss.so"); + } + } catch (Exception e) { + System.err.println("Native code library failed to load. \n" + e); + System.exit(1); + } + } + + public final static native long new_intArray(int jarg1); + public final static native void delete_intArray(long jarg1); + public final static native int intArray_getitem(long jarg1, intArray jarg1_, int jarg2); + public final static native void intArray_setitem(long jarg1, intArray jarg1_, int jarg2, int jarg3); + public final static native long intArray_cast(long jarg1, intArray jarg1_); + public final static native long intArray_frompointer(long jarg1); + public final static native long new_floatArray(int jarg1); + public final static native void delete_floatArray(long jarg1); + public final static native float floatArray_getitem(long jarg1, floatArray jarg1_, int jarg2); + public final static native void floatArray_setitem(long jarg1, floatArray jarg1_, int jarg2, float jarg3); + public final static native long floatArray_cast(long jarg1, floatArray jarg1_); + public final static native long floatArray_frompointer(long jarg1); + public final static native long new_longArray(int jarg1); + public final static native void delete_longArray(long jarg1); + public final static native long longArray_getitem(long jarg1, longArray jarg1_, int jarg2); + public final static native void longArray_setitem(long jarg1, longArray jarg1_, int jarg2, long jarg3); + public final static native long longArray_cast(long jarg1, longArray jarg1_); + public final static native long longArray_frompointer(long jarg1); + public final static native long new_doubleArray(int jarg1); + public final static native void delete_doubleArray(long jarg1); + public final static native double doubleArray_getitem(long jarg1, doubleArray jarg1_, int jarg2); + public final static native void doubleArray_setitem(long jarg1, doubleArray jarg1_, int jarg2, double jarg3); + public final static native long doubleArray_cast(long jarg1, doubleArray jarg1_); + public final static native long doubleArray_frompointer(long jarg1); + public final static native long new_FloatVector(); + public final static native void FloatVector_push_back(long jarg1, FloatVector jarg1_, float jarg2); + public final static native void FloatVector_clear(long jarg1, FloatVector jarg1_); + public final static native long FloatVector_data(long jarg1, FloatVector jarg1_); + public final static native long FloatVector_size(long jarg1, FloatVector jarg1_); + public final static native float FloatVector_at(long jarg1, FloatVector jarg1_, long jarg2); + public final static native void FloatVector_resize(long jarg1, FloatVector jarg1_, long jarg2); + public final static native void FloatVector_reserve(long jarg1, FloatVector jarg1_, long jarg2); + public final static native void FloatVector_swap(long jarg1, FloatVector jarg1_, long jarg2, FloatVector jarg2_); + public final static native void delete_FloatVector(long jarg1); + public final static native long new_DoubleVector(); + public final static native void DoubleVector_push_back(long jarg1, DoubleVector jarg1_, double jarg2); + public final static native void DoubleVector_clear(long jarg1, DoubleVector jarg1_); + public final static native long DoubleVector_data(long jarg1, DoubleVector jarg1_); + public final static native long DoubleVector_size(long jarg1, DoubleVector jarg1_); + public final static native double DoubleVector_at(long jarg1, DoubleVector jarg1_, long jarg2); + public final static native void DoubleVector_resize(long jarg1, DoubleVector jarg1_, long jarg2); + public final static native void DoubleVector_reserve(long jarg1, DoubleVector jarg1_, long jarg2); + public final static native void DoubleVector_swap(long jarg1, DoubleVector jarg1_, long jarg2, DoubleVector jarg2_); + public final static native void delete_DoubleVector(long jarg1); + public final static native long new_ByteVector(); + public final static native void ByteVector_push_back(long jarg1, ByteVector jarg1_, short jarg2); + public final static native void ByteVector_clear(long jarg1, ByteVector jarg1_); + public final static native long ByteVector_data(long jarg1, ByteVector jarg1_); + public final static native long ByteVector_size(long jarg1, ByteVector jarg1_); + public final static native short ByteVector_at(long jarg1, ByteVector jarg1_, long jarg2); + public final static native void ByteVector_resize(long jarg1, ByteVector jarg1_, long jarg2); + public final static native void ByteVector_reserve(long jarg1, ByteVector jarg1_, long jarg2); + public final static native void ByteVector_swap(long jarg1, ByteVector jarg1_, long jarg2, ByteVector jarg2_); + public final static native void delete_ByteVector(long jarg1); + public final static native long new_CharVector(); + public final static native void CharVector_push_back(long jarg1, CharVector jarg1_, char jarg2); + public final static native void CharVector_clear(long jarg1, CharVector jarg1_); + public final static native String CharVector_data(long jarg1, CharVector jarg1_); + public final static native long CharVector_size(long jarg1, CharVector jarg1_); + public final static native char CharVector_at(long jarg1, CharVector jarg1_, long jarg2); + public final static native void CharVector_resize(long jarg1, CharVector jarg1_, long jarg2); + public final static native void CharVector_reserve(long jarg1, CharVector jarg1_, long jarg2); + public final static native void CharVector_swap(long jarg1, CharVector jarg1_, long jarg2, CharVector jarg2_); + public final static native void delete_CharVector(long jarg1); + public final static native long new_Uint64Vector(); + public final static native void Uint64Vector_push_back(long jarg1, Uint64Vector jarg1_, long jarg2); + public final static native void Uint64Vector_clear(long jarg1, Uint64Vector jarg1_); + public final static native long Uint64Vector_data(long jarg1, Uint64Vector jarg1_); + public final static native long Uint64Vector_size(long jarg1, Uint64Vector jarg1_); + public final static native long Uint64Vector_at(long jarg1, Uint64Vector jarg1_, long jarg2); + public final static native void Uint64Vector_resize(long jarg1, Uint64Vector jarg1_, long jarg2); + public final static native void Uint64Vector_reserve(long jarg1, Uint64Vector jarg1_, long jarg2); + public final static native void Uint64Vector_swap(long jarg1, Uint64Vector jarg1_, long jarg2, Uint64Vector jarg2_); + public final static native void delete_Uint64Vector(long jarg1); + public final static native long new_LongVector(); + public final static native void LongVector_push_back(long jarg1, LongVector jarg1_, long jarg2); + public final static native void LongVector_clear(long jarg1, LongVector jarg1_); + public final static native long LongVector_data(long jarg1, LongVector jarg1_); + public final static native long LongVector_size(long jarg1, LongVector jarg1_); + public final static native long LongVector_at(long jarg1, LongVector jarg1_, long jarg2); + public final static native void LongVector_resize(long jarg1, LongVector jarg1_, long jarg2); + public final static native void LongVector_reserve(long jarg1, LongVector jarg1_, long jarg2); + public final static native void LongVector_swap(long jarg1, LongVector jarg1_, long jarg2, LongVector jarg2_); + public final static native void delete_LongVector(long jarg1); + public final static native long new_IntVector(); + public final static native void IntVector_push_back(long jarg1, IntVector jarg1_, int jarg2); + public final static native void IntVector_clear(long jarg1, IntVector jarg1_); + public final static native long IntVector_data(long jarg1, IntVector jarg1_); + public final static native long IntVector_size(long jarg1, IntVector jarg1_); + public final static native int IntVector_at(long jarg1, IntVector jarg1_, long jarg2); + public final static native void IntVector_resize(long jarg1, IntVector jarg1_, long jarg2); + public final static native void IntVector_reserve(long jarg1, IntVector jarg1_, long jarg2); + public final static native void IntVector_swap(long jarg1, IntVector jarg1_, long jarg2, IntVector jarg2_); + public final static native void delete_IntVector(long jarg1); + public final static native long new_VectorTransformVector(); + public final static native void VectorTransformVector_push_back(long jarg1, VectorTransformVector jarg1_, long jarg2, VectorTransform jarg2_); + public final static native void VectorTransformVector_clear(long jarg1, VectorTransformVector jarg1_); + public final static native long VectorTransformVector_data(long jarg1, VectorTransformVector jarg1_); + public final static native long VectorTransformVector_size(long jarg1, VectorTransformVector jarg1_); + public final static native long VectorTransformVector_at(long jarg1, VectorTransformVector jarg1_, long jarg2); + public final static native void VectorTransformVector_resize(long jarg1, VectorTransformVector jarg1_, long jarg2); + public final static native void VectorTransformVector_reserve(long jarg1, VectorTransformVector jarg1_, long jarg2); + public final static native void VectorTransformVector_swap(long jarg1, VectorTransformVector jarg1_, long jarg2, VectorTransformVector jarg2_); + public final static native void delete_VectorTransformVector(long jarg1); + public final static native long new_OperatingPointVector(); + public final static native void OperatingPointVector_push_back(long jarg1, OperatingPointVector jarg1_, long jarg2, OperatingPoint jarg2_); + public final static native void OperatingPointVector_clear(long jarg1, OperatingPointVector jarg1_); + public final static native long OperatingPointVector_data(long jarg1, OperatingPointVector jarg1_); + public final static native long OperatingPointVector_size(long jarg1, OperatingPointVector jarg1_); + public final static native long OperatingPointVector_at(long jarg1, OperatingPointVector jarg1_, long jarg2); + public final static native void OperatingPointVector_resize(long jarg1, OperatingPointVector jarg1_, long jarg2); + public final static native void OperatingPointVector_reserve(long jarg1, OperatingPointVector jarg1_, long jarg2); + public final static native void OperatingPointVector_swap(long jarg1, OperatingPointVector jarg1_, long jarg2, OperatingPointVector jarg2_); + public final static native void delete_OperatingPointVector(long jarg1); + public final static native long new_InvertedListsPtrVector(); + public final static native void InvertedListsPtrVector_push_back(long jarg1, InvertedListsPtrVector jarg1_, long jarg2, InvertedLists jarg2_); + public final static native void InvertedListsPtrVector_clear(long jarg1, InvertedListsPtrVector jarg1_); + public final static native long InvertedListsPtrVector_data(long jarg1, InvertedListsPtrVector jarg1_); + public final static native long InvertedListsPtrVector_size(long jarg1, InvertedListsPtrVector jarg1_); + public final static native long InvertedListsPtrVector_at(long jarg1, InvertedListsPtrVector jarg1_, long jarg2); + public final static native void InvertedListsPtrVector_resize(long jarg1, InvertedListsPtrVector jarg1_, long jarg2); + public final static native void InvertedListsPtrVector_reserve(long jarg1, InvertedListsPtrVector jarg1_, long jarg2); + public final static native void InvertedListsPtrVector_swap(long jarg1, InvertedListsPtrVector jarg1_, long jarg2, InvertedListsPtrVector jarg2_); + public final static native void delete_InvertedListsPtrVector(long jarg1); + public final static native long new_FloatVectorVector(); + public final static native void FloatVectorVector_push_back(long jarg1, FloatVectorVector jarg1_, long jarg2, FloatVector jarg2_); + public final static native void FloatVectorVector_clear(long jarg1, FloatVectorVector jarg1_); + public final static native long FloatVectorVector_data(long jarg1, FloatVectorVector jarg1_); + public final static native long FloatVectorVector_size(long jarg1, FloatVectorVector jarg1_); + public final static native long FloatVectorVector_at(long jarg1, FloatVectorVector jarg1_, long jarg2); + public final static native void FloatVectorVector_resize(long jarg1, FloatVectorVector jarg1_, long jarg2); + public final static native void FloatVectorVector_reserve(long jarg1, FloatVectorVector jarg1_, long jarg2); + public final static native void FloatVectorVector_swap(long jarg1, FloatVectorVector jarg1_, long jarg2, FloatVectorVector jarg2_); + public final static native void delete_FloatVectorVector(long jarg1); + public final static native long new_ByteVectorVector(); + public final static native void ByteVectorVector_push_back(long jarg1, ByteVectorVector jarg1_, long jarg2, ByteVector jarg2_); + public final static native void ByteVectorVector_clear(long jarg1, ByteVectorVector jarg1_); + public final static native long ByteVectorVector_data(long jarg1, ByteVectorVector jarg1_); + public final static native long ByteVectorVector_size(long jarg1, ByteVectorVector jarg1_); + public final static native long ByteVectorVector_at(long jarg1, ByteVectorVector jarg1_, long jarg2); + public final static native void ByteVectorVector_resize(long jarg1, ByteVectorVector jarg1_, long jarg2); + public final static native void ByteVectorVector_reserve(long jarg1, ByteVectorVector jarg1_, long jarg2); + public final static native void ByteVectorVector_swap(long jarg1, ByteVectorVector jarg1_, long jarg2, ByteVectorVector jarg2_); + public final static native void delete_ByteVectorVector(long jarg1); + public final static native long new_LongVectorVector(); + public final static native void LongVectorVector_push_back(long jarg1, LongVectorVector jarg1_, long jarg2); + public final static native void LongVectorVector_clear(long jarg1, LongVectorVector jarg1_); + public final static native long LongVectorVector_data(long jarg1, LongVectorVector jarg1_); + public final static native long LongVectorVector_size(long jarg1, LongVectorVector jarg1_); + public final static native long LongVectorVector_at(long jarg1, LongVectorVector jarg1_, long jarg2); + public final static native void LongVectorVector_resize(long jarg1, LongVectorVector jarg1_, long jarg2); + public final static native void LongVectorVector_reserve(long jarg1, LongVectorVector jarg1_, long jarg2); + public final static native void LongVectorVector_swap(long jarg1, LongVectorVector jarg1_, long jarg2, LongVectorVector jarg2_); + public final static native void delete_LongVectorVector(long jarg1); + public final static native void bitvec_print(long jarg1, long jarg2); + public final static native void fvecs2bitvecs(long jarg1, long jarg2, long jarg3, long jarg4); + public final static native void bitvecs2fvecs(long jarg1, long jarg2, long jarg3, long jarg4); + public final static native void fvec2bitvec(long jarg1, long jarg2, long jarg3); + public final static native void bitvec_shuffle(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void BitstringWriter_code_set(long jarg1, BitstringWriter jarg1_, long jarg2); + public final static native long BitstringWriter_code_get(long jarg1, BitstringWriter jarg1_); + public final static native void BitstringWriter_code_size_set(long jarg1, BitstringWriter jarg1_, long jarg2); + public final static native long BitstringWriter_code_size_get(long jarg1, BitstringWriter jarg1_); + public final static native void BitstringWriter_i_set(long jarg1, BitstringWriter jarg1_, long jarg2); + public final static native long BitstringWriter_i_get(long jarg1, BitstringWriter jarg1_); + public final static native long new_BitstringWriter(long jarg1, long jarg2); + public final static native void BitstringWriter_write(long jarg1, BitstringWriter jarg1_, long jarg2, int jarg3); + public final static native void delete_BitstringWriter(long jarg1); + public final static native void BitstringReader_code_set(long jarg1, BitstringReader jarg1_, long jarg2); + public final static native long BitstringReader_code_get(long jarg1, BitstringReader jarg1_); + public final static native void BitstringReader_code_size_set(long jarg1, BitstringReader jarg1_, long jarg2); + public final static native long BitstringReader_code_size_get(long jarg1, BitstringReader jarg1_); + public final static native void BitstringReader_i_set(long jarg1, BitstringReader jarg1_, long jarg2); + public final static native long BitstringReader_i_get(long jarg1, BitstringReader jarg1_); + public final static native long new_BitstringReader(long jarg1, long jarg2); + public final static native long BitstringReader_read(long jarg1, BitstringReader jarg1_, int jarg2); + public final static native void delete_BitstringReader(long jarg1); + public final static native void hamming_batch_size_set(long jarg1); + public final static native long hamming_batch_size_get(); + public final static native int popcount64(long jarg1); + public final static native void hammings(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void hammings_knn_hc(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5, int jarg6); + public final static native void hammings_knn(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5, int jarg6); + public final static native void hammings_knn_mc(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, long jarg7, long jarg8, LongVector jarg8_); + public final static native void hamming_range_search(long jarg1, long jarg2, long jarg3, long jarg4, int jarg5, long jarg6, long jarg7, RangeSearchResult jarg7_); + public final static native void hamming_count_thres(long jarg1, long jarg2, long jarg3, long jarg4, int jarg5, long jarg6, long jarg7); + public final static native long match_hamming_thres(long jarg1, long jarg2, long jarg3, long jarg4, int jarg5, long jarg6, long jarg7, LongVector jarg7_, long jarg8); + public final static native void crosshamming_count_thres(long jarg1, long jarg2, int jarg3, long jarg4, long jarg5); + public final static native int get_num_gpus(); + public final static native int METRIC_INNER_PRODUCT_get(); + public final static native int METRIC_L2_get(); + public final static native int METRIC_Canberra_get(); + public final static native String get_compile_options(); + public final static native double getmillisecs(); + public final static native long get_mem_usage_kb(); + public final static native long get_cycles(); + public final static native void fvec_madd(long jarg1, long jarg2, float jarg3, long jarg4, long jarg5); + public final static native int fvec_madd_and_argmin(long jarg1, long jarg2, float jarg3, long jarg4, long jarg5); + public final static native void reflection(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void matrix_qr(int jarg1, int jarg2, long jarg3); + public final static native void ranklist_handle_ties(int jarg1, long jarg2, LongVector jarg2_, long jarg3); + public final static native long ranklist_intersection_size(long jarg1, long jarg2, LongVector jarg2_, long jarg3, long jarg4, LongVector jarg4_); + public final static native long merge_result_table_with__SWIG_0(long jarg1, long jarg2, long jarg3, LongVector jarg3_, long jarg4, long jarg5, LongVector jarg5_, long jarg6, boolean jarg7, long jarg8); + public final static native long merge_result_table_with__SWIG_1(long jarg1, long jarg2, long jarg3, LongVector jarg3_, long jarg4, long jarg5, LongVector jarg5_, long jarg6, boolean jarg7); + public final static native long merge_result_table_with__SWIG_2(long jarg1, long jarg2, long jarg3, LongVector jarg3_, long jarg4, long jarg5, LongVector jarg5_, long jarg6); + public final static native double imbalance_factor__SWIG_0(int jarg1, int jarg2, long jarg3, LongVector jarg3_); + public final static native double imbalance_factor__SWIG_1(int jarg1, long jarg2); + public final static native void fvec_argsort(long jarg1, long jarg2, long jarg3); + public final static native void fvec_argsort_parallel(long jarg1, long jarg2, long jarg3); + public final static native int ivec_hist(long jarg1, long jarg2, int jarg3, long jarg4); + public final static native void bincode_hist(long jarg1, long jarg2, long jarg3, long jarg4); + public final static native long ivec_checksum(long jarg1, long jarg2); + public final static native long fvecs_maybe_subsample__SWIG_0(long jarg1, long jarg2, long jarg3, long jarg4, boolean jarg5, long jarg6); + public final static native long fvecs_maybe_subsample__SWIG_1(long jarg1, long jarg2, long jarg3, long jarg4, boolean jarg5); + public final static native long fvecs_maybe_subsample__SWIG_2(long jarg1, long jarg2, long jarg3, long jarg4); + public final static native void binary_to_real(long jarg1, long jarg2, long jarg3); + public final static native void real_to_binary(long jarg1, long jarg2, long jarg3); + public final static native long hash_bytes(long jarg1, long jarg2); + public final static native boolean check_openmp(); + public final static native int FAISS_VERSION_MAJOR_get(); + public final static native int FAISS_VERSION_MINOR_get(); + public final static native int FAISS_VERSION_PATCH_get(); + public final static native void Index_d_set(long jarg1, Index jarg1_, int jarg2); + public final static native int Index_d_get(long jarg1, Index jarg1_); + public final static native void Index_ntotal_set(long jarg1, Index jarg1_, long jarg2); + public final static native long Index_ntotal_get(long jarg1, Index jarg1_); + public final static native void Index_verbose_set(long jarg1, Index jarg1_, boolean jarg2); + public final static native boolean Index_verbose_get(long jarg1, Index jarg1_); + public final static native void Index_is_trained_set(long jarg1, Index jarg1_, boolean jarg2); + public final static native boolean Index_is_trained_get(long jarg1, Index jarg1_); + public final static native void Index_metric_type_set(long jarg1, Index jarg1_, int jarg2); + public final static native int Index_metric_type_get(long jarg1, Index jarg1_); + public final static native void Index_metric_arg_set(long jarg1, Index jarg1_, float jarg2); + public final static native float Index_metric_arg_get(long jarg1, Index jarg1_); + public final static native void delete_Index(long jarg1); + public final static native void Index_train(long jarg1, Index jarg1_, long jarg2, long jarg3); + public final static native void Index_add(long jarg1, Index jarg1_, long jarg2, long jarg3); + public final static native void Index_add_with_ids(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void Index_search(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void Index_range_search(long jarg1, Index jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, RangeSearchResult jarg5_); + public final static native void Index_assign__SWIG_0(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void Index_assign__SWIG_1(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void Index_reset(long jarg1, Index jarg1_); + public final static native long Index_remove_ids(long jarg1, Index jarg1_, long jarg2, IDSelector jarg2_); + public final static native void Index_reconstruct(long jarg1, Index jarg1_, long jarg2, long jarg3); + public final static native void Index_reconstruct_n(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void Index_search_and_reconstruct(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_, long jarg7); + public final static native void Index_compute_residual(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void Index_compute_residual_n(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_); + public final static native long Index_get_distance_computer(long jarg1, Index jarg1_); + public final static native long Index_sa_code_size(long jarg1, Index jarg1_); + public final static native void Index_sa_encode(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void Index_sa_decode(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long Index_toIVF(long jarg1, Index jarg1_); + public final static native void ClusteringParameters_niter_set(long jarg1, ClusteringParameters jarg1_, int jarg2); + public final static native int ClusteringParameters_niter_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_nredo_set(long jarg1, ClusteringParameters jarg1_, int jarg2); + public final static native int ClusteringParameters_nredo_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_verbose_set(long jarg1, ClusteringParameters jarg1_, boolean jarg2); + public final static native boolean ClusteringParameters_verbose_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_spherical_set(long jarg1, ClusteringParameters jarg1_, boolean jarg2); + public final static native boolean ClusteringParameters_spherical_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_int_centroids_set(long jarg1, ClusteringParameters jarg1_, boolean jarg2); + public final static native boolean ClusteringParameters_int_centroids_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_update_index_set(long jarg1, ClusteringParameters jarg1_, boolean jarg2); + public final static native boolean ClusteringParameters_update_index_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_frozen_centroids_set(long jarg1, ClusteringParameters jarg1_, boolean jarg2); + public final static native boolean ClusteringParameters_frozen_centroids_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_min_points_per_centroid_set(long jarg1, ClusteringParameters jarg1_, int jarg2); + public final static native int ClusteringParameters_min_points_per_centroid_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_max_points_per_centroid_set(long jarg1, ClusteringParameters jarg1_, int jarg2); + public final static native int ClusteringParameters_max_points_per_centroid_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_seed_set(long jarg1, ClusteringParameters jarg1_, int jarg2); + public final static native int ClusteringParameters_seed_get(long jarg1, ClusteringParameters jarg1_); + public final static native void ClusteringParameters_decode_block_size_set(long jarg1, ClusteringParameters jarg1_, long jarg2); + public final static native long ClusteringParameters_decode_block_size_get(long jarg1, ClusteringParameters jarg1_); + public final static native long new_ClusteringParameters(); + public final static native void delete_ClusteringParameters(long jarg1); + public final static native void ClusteringIterationStats_obj_set(long jarg1, ClusteringIterationStats jarg1_, float jarg2); + public final static native float ClusteringIterationStats_obj_get(long jarg1, ClusteringIterationStats jarg1_); + public final static native void ClusteringIterationStats_time_set(long jarg1, ClusteringIterationStats jarg1_, double jarg2); + public final static native double ClusteringIterationStats_time_get(long jarg1, ClusteringIterationStats jarg1_); + public final static native void ClusteringIterationStats_time_search_set(long jarg1, ClusteringIterationStats jarg1_, double jarg2); + public final static native double ClusteringIterationStats_time_search_get(long jarg1, ClusteringIterationStats jarg1_); + public final static native void ClusteringIterationStats_imbalance_factor_set(long jarg1, ClusteringIterationStats jarg1_, double jarg2); + public final static native double ClusteringIterationStats_imbalance_factor_get(long jarg1, ClusteringIterationStats jarg1_); + public final static native void ClusteringIterationStats_nsplit_set(long jarg1, ClusteringIterationStats jarg1_, int jarg2); + public final static native int ClusteringIterationStats_nsplit_get(long jarg1, ClusteringIterationStats jarg1_); + public final static native long new_ClusteringIterationStats(); + public final static native void delete_ClusteringIterationStats(long jarg1); + public final static native void Clustering_d_set(long jarg1, Clustering jarg1_, long jarg2); + public final static native long Clustering_d_get(long jarg1, Clustering jarg1_); + public final static native void Clustering_k_set(long jarg1, Clustering jarg1_, long jarg2); + public final static native long Clustering_k_get(long jarg1, Clustering jarg1_); + public final static native void Clustering_centroids_set(long jarg1, Clustering jarg1_, long jarg2, FloatVector jarg2_); + public final static native long Clustering_centroids_get(long jarg1, Clustering jarg1_); + public final static native void Clustering_iteration_stats_set(long jarg1, Clustering jarg1_, long jarg2); + public final static native long Clustering_iteration_stats_get(long jarg1, Clustering jarg1_); + public final static native long new_Clustering__SWIG_0(int jarg1, int jarg2); + public final static native long new_Clustering__SWIG_1(int jarg1, int jarg2, long jarg3, ClusteringParameters jarg3_); + public final static native void Clustering_train__SWIG_0(long jarg1, Clustering jarg1_, long jarg2, long jarg3, long jarg4, Index jarg4_, long jarg5); + public final static native void Clustering_train__SWIG_1(long jarg1, Clustering jarg1_, long jarg2, long jarg3, long jarg4, Index jarg4_); + public final static native void Clustering_train_encoded__SWIG_0(long jarg1, Clustering jarg1_, long jarg2, long jarg3, long jarg4, Index jarg4_, long jarg5, Index jarg5_, long jarg6); + public final static native void Clustering_train_encoded__SWIG_1(long jarg1, Clustering jarg1_, long jarg2, long jarg3, long jarg4, Index jarg4_, long jarg5, Index jarg5_); + public final static native void Clustering_post_process_centroids(long jarg1, Clustering jarg1_); + public final static native void delete_Clustering(long jarg1); + public final static native long new_Clustering1D__SWIG_0(int jarg1); + public final static native long new_Clustering1D__SWIG_1(int jarg1, long jarg2, ClusteringParameters jarg2_); + public final static native void Clustering1D_train_exact(long jarg1, Clustering1D jarg1_, long jarg2, long jarg3); + public final static native void delete_Clustering1D(long jarg1); + public final static native void ProgressiveDimClusteringParameters_progressive_dim_steps_set(long jarg1, ProgressiveDimClusteringParameters jarg1_, int jarg2); + public final static native int ProgressiveDimClusteringParameters_progressive_dim_steps_get(long jarg1, ProgressiveDimClusteringParameters jarg1_); + public final static native void ProgressiveDimClusteringParameters_apply_pca_set(long jarg1, ProgressiveDimClusteringParameters jarg1_, boolean jarg2); + public final static native boolean ProgressiveDimClusteringParameters_apply_pca_get(long jarg1, ProgressiveDimClusteringParameters jarg1_); + public final static native long new_ProgressiveDimClusteringParameters(); + public final static native void delete_ProgressiveDimClusteringParameters(long jarg1); + public final static native void delete_ProgressiveDimIndexFactory(long jarg1); + public final static native long new_ProgressiveDimIndexFactory(); + public final static native void ProgressiveDimClustering_d_set(long jarg1, ProgressiveDimClustering jarg1_, long jarg2); + public final static native long ProgressiveDimClustering_d_get(long jarg1, ProgressiveDimClustering jarg1_); + public final static native void ProgressiveDimClustering_k_set(long jarg1, ProgressiveDimClustering jarg1_, long jarg2); + public final static native long ProgressiveDimClustering_k_get(long jarg1, ProgressiveDimClustering jarg1_); + public final static native void ProgressiveDimClustering_centroids_set(long jarg1, ProgressiveDimClustering jarg1_, long jarg2, FloatVector jarg2_); + public final static native long ProgressiveDimClustering_centroids_get(long jarg1, ProgressiveDimClustering jarg1_); + public final static native void ProgressiveDimClustering_iteration_stats_set(long jarg1, ProgressiveDimClustering jarg1_, long jarg2); + public final static native long ProgressiveDimClustering_iteration_stats_get(long jarg1, ProgressiveDimClustering jarg1_); + public final static native long new_ProgressiveDimClustering__SWIG_0(int jarg1, int jarg2); + public final static native long new_ProgressiveDimClustering__SWIG_1(int jarg1, int jarg2, long jarg3, ProgressiveDimClusteringParameters jarg3_); + public final static native void ProgressiveDimClustering_train(long jarg1, ProgressiveDimClustering jarg1_, long jarg2, long jarg3, long jarg4, ProgressiveDimIndexFactory jarg4_); + public final static native void delete_ProgressiveDimClustering(long jarg1); + public final static native float kmeans_clustering(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void ProductQuantizer_d_set(long jarg1, ProductQuantizer jarg1_, long jarg2); + public final static native long ProductQuantizer_d_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_M_set(long jarg1, ProductQuantizer jarg1_, long jarg2); + public final static native long ProductQuantizer_M_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_nbits_set(long jarg1, ProductQuantizer jarg1_, long jarg2); + public final static native long ProductQuantizer_nbits_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_dsub_set(long jarg1, ProductQuantizer jarg1_, long jarg2); + public final static native long ProductQuantizer_dsub_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_code_size_set(long jarg1, ProductQuantizer jarg1_, long jarg2); + public final static native long ProductQuantizer_code_size_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_ksub_set(long jarg1, ProductQuantizer jarg1_, long jarg2); + public final static native long ProductQuantizer_ksub_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_verbose_set(long jarg1, ProductQuantizer jarg1_, boolean jarg2); + public final static native boolean ProductQuantizer_verbose_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_train_type_set(long jarg1, ProductQuantizer jarg1_, int jarg2); + public final static native int ProductQuantizer_train_type_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_cp_set(long jarg1, ProductQuantizer jarg1_, long jarg2, ClusteringParameters jarg2_); + public final static native long ProductQuantizer_cp_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_assign_index_set(long jarg1, ProductQuantizer jarg1_, long jarg2, Index jarg2_); + public final static native long ProductQuantizer_assign_index_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_centroids_set(long jarg1, ProductQuantizer jarg1_, long jarg2, FloatVector jarg2_); + public final static native long ProductQuantizer_centroids_get(long jarg1, ProductQuantizer jarg1_); + public final static native long ProductQuantizer_get_centroids(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3); + public final static native void ProductQuantizer_train(long jarg1, ProductQuantizer jarg1_, int jarg2, long jarg3); + public final static native long new_ProductQuantizer__SWIG_0(long jarg1, long jarg2, long jarg3); + public final static native long new_ProductQuantizer__SWIG_1(); + public final static native void ProductQuantizer_set_derived_values(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_set_params(long jarg1, ProductQuantizer jarg1_, long jarg2, int jarg3); + public final static native void ProductQuantizer_compute_code(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3); + public final static native void ProductQuantizer_compute_codes(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void ProductQuantizer_compute_codes_with_assign_index(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void ProductQuantizer_decode__SWIG_0(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3); + public final static native void ProductQuantizer_decode__SWIG_1(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void ProductQuantizer_compute_code_from_distance_table(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3); + public final static native void ProductQuantizer_compute_distance_table(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3); + public final static native void ProductQuantizer_compute_inner_prod_table(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3); + public final static native void ProductQuantizer_compute_distance_tables(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void ProductQuantizer_compute_inner_prod_tables(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void ProductQuantizer_search__SWIG_0(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, boolean jarg7); + public final static native void ProductQuantizer_search__SWIG_1(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void ProductQuantizer_search_ip__SWIG_0(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, boolean jarg7); + public final static native void ProductQuantizer_search_ip__SWIG_1(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void ProductQuantizer_sdc_table_set(long jarg1, ProductQuantizer jarg1_, long jarg2, FloatVector jarg2_); + public final static native long ProductQuantizer_sdc_table_get(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_compute_sdc_table(long jarg1, ProductQuantizer jarg1_); + public final static native void ProductQuantizer_search_sdc__SWIG_0(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, boolean jarg7); + public final static native void ProductQuantizer_search_sdc__SWIG_1(long jarg1, ProductQuantizer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void delete_ProductQuantizer(long jarg1); + public final static native void PQEncoderGeneric_code_set(long jarg1, PQEncoderGeneric jarg1_, long jarg2); + public final static native long PQEncoderGeneric_code_get(long jarg1, PQEncoderGeneric jarg1_); + public final static native void PQEncoderGeneric_offset_set(long jarg1, PQEncoderGeneric jarg1_, short jarg2); + public final static native short PQEncoderGeneric_offset_get(long jarg1, PQEncoderGeneric jarg1_); + public final static native int PQEncoderGeneric_nbits_get(long jarg1, PQEncoderGeneric jarg1_); + public final static native void PQEncoderGeneric_reg_set(long jarg1, PQEncoderGeneric jarg1_, short jarg2); + public final static native short PQEncoderGeneric_reg_get(long jarg1, PQEncoderGeneric jarg1_); + public final static native long new_PQEncoderGeneric__SWIG_0(long jarg1, int jarg2, short jarg3); + public final static native long new_PQEncoderGeneric__SWIG_1(long jarg1, int jarg2); + public final static native void PQEncoderGeneric_encode(long jarg1, PQEncoderGeneric jarg1_, long jarg2); + public final static native void delete_PQEncoderGeneric(long jarg1); + public final static native void PQEncoder8_code_set(long jarg1, PQEncoder8 jarg1_, long jarg2); + public final static native long PQEncoder8_code_get(long jarg1, PQEncoder8 jarg1_); + public final static native long new_PQEncoder8(long jarg1, int jarg2); + public final static native void PQEncoder8_encode(long jarg1, PQEncoder8 jarg1_, long jarg2); + public final static native void delete_PQEncoder8(long jarg1); + public final static native void PQEncoder16_code_set(long jarg1, PQEncoder16 jarg1_, long jarg2); + public final static native long PQEncoder16_code_get(long jarg1, PQEncoder16 jarg1_); + public final static native long new_PQEncoder16(long jarg1, int jarg2); + public final static native void PQEncoder16_encode(long jarg1, PQEncoder16 jarg1_, long jarg2); + public final static native void delete_PQEncoder16(long jarg1); + public final static native void PQDecoderGeneric_code_set(long jarg1, PQDecoderGeneric jarg1_, long jarg2); + public final static native long PQDecoderGeneric_code_get(long jarg1, PQDecoderGeneric jarg1_); + public final static native void PQDecoderGeneric_offset_set(long jarg1, PQDecoderGeneric jarg1_, short jarg2); + public final static native short PQDecoderGeneric_offset_get(long jarg1, PQDecoderGeneric jarg1_); + public final static native int PQDecoderGeneric_nbits_get(long jarg1, PQDecoderGeneric jarg1_); + public final static native long PQDecoderGeneric_mask_get(long jarg1, PQDecoderGeneric jarg1_); + public final static native void PQDecoderGeneric_reg_set(long jarg1, PQDecoderGeneric jarg1_, short jarg2); + public final static native short PQDecoderGeneric_reg_get(long jarg1, PQDecoderGeneric jarg1_); + public final static native long new_PQDecoderGeneric(long jarg1, int jarg2); + public final static native long PQDecoderGeneric_decode(long jarg1, PQDecoderGeneric jarg1_); + public final static native void delete_PQDecoderGeneric(long jarg1); + public final static native int PQDecoder8_nbits_get(); + public final static native void PQDecoder8_code_set(long jarg1, PQDecoder8 jarg1_, long jarg2); + public final static native long PQDecoder8_code_get(long jarg1, PQDecoder8 jarg1_); + public final static native long new_PQDecoder8(long jarg1, int jarg2); + public final static native long PQDecoder8_decode(long jarg1, PQDecoder8 jarg1_); + public final static native void delete_PQDecoder8(long jarg1); + public final static native int PQDecoder16_nbits_get(); + public final static native void PQDecoder16_code_set(long jarg1, PQDecoder16 jarg1_, long jarg2); + public final static native long PQDecoder16_code_get(long jarg1, PQDecoder16 jarg1_); + public final static native long new_PQDecoder16(long jarg1, int jarg2); + public final static native long PQDecoder16_decode(long jarg1, PQDecoder16 jarg1_); + public final static native void delete_PQDecoder16(long jarg1); + public final static native void VectorTransform_d_in_set(long jarg1, VectorTransform jarg1_, int jarg2); + public final static native int VectorTransform_d_in_get(long jarg1, VectorTransform jarg1_); + public final static native void VectorTransform_d_out_set(long jarg1, VectorTransform jarg1_, int jarg2); + public final static native int VectorTransform_d_out_get(long jarg1, VectorTransform jarg1_); + public final static native void VectorTransform_is_trained_set(long jarg1, VectorTransform jarg1_, boolean jarg2); + public final static native boolean VectorTransform_is_trained_get(long jarg1, VectorTransform jarg1_); + public final static native void VectorTransform_train(long jarg1, VectorTransform jarg1_, long jarg2, long jarg3); + public final static native long VectorTransform_apply(long jarg1, VectorTransform jarg1_, long jarg2, long jarg3); + public final static native void VectorTransform_apply_noalloc(long jarg1, VectorTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void VectorTransform_reverse_transform(long jarg1, VectorTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_VectorTransform(long jarg1); + public final static native void LinearTransform_have_bias_set(long jarg1, LinearTransform jarg1_, boolean jarg2); + public final static native boolean LinearTransform_have_bias_get(long jarg1, LinearTransform jarg1_); + public final static native void LinearTransform_is_orthonormal_set(long jarg1, LinearTransform jarg1_, boolean jarg2); + public final static native boolean LinearTransform_is_orthonormal_get(long jarg1, LinearTransform jarg1_); + public final static native void LinearTransform_A_set(long jarg1, LinearTransform jarg1_, long jarg2, FloatVector jarg2_); + public final static native long LinearTransform_A_get(long jarg1, LinearTransform jarg1_); + public final static native void LinearTransform_b_set(long jarg1, LinearTransform jarg1_, long jarg2, FloatVector jarg2_); + public final static native long LinearTransform_b_get(long jarg1, LinearTransform jarg1_); + public final static native long new_LinearTransform__SWIG_0(int jarg1, int jarg2, boolean jarg3); + public final static native long new_LinearTransform__SWIG_1(int jarg1, int jarg2); + public final static native long new_LinearTransform__SWIG_2(int jarg1); + public final static native long new_LinearTransform__SWIG_3(); + public final static native void LinearTransform_apply_noalloc(long jarg1, LinearTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void LinearTransform_transform_transpose(long jarg1, LinearTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void LinearTransform_reverse_transform(long jarg1, LinearTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void LinearTransform_set_is_orthonormal(long jarg1, LinearTransform jarg1_); + public final static native void LinearTransform_verbose_set(long jarg1, LinearTransform jarg1_, boolean jarg2); + public final static native boolean LinearTransform_verbose_get(long jarg1, LinearTransform jarg1_); + public final static native void LinearTransform_print_if_verbose(long jarg1, LinearTransform jarg1_, String jarg2, long jarg3, DoubleVector jarg3_, int jarg4, int jarg5); + public final static native void delete_LinearTransform(long jarg1); + public final static native long new_RandomRotationMatrix__SWIG_0(int jarg1, int jarg2); + public final static native void RandomRotationMatrix_init(long jarg1, RandomRotationMatrix jarg1_, int jarg2); + public final static native void RandomRotationMatrix_train(long jarg1, RandomRotationMatrix jarg1_, long jarg2, long jarg3); + public final static native long new_RandomRotationMatrix__SWIG_1(); + public final static native void delete_RandomRotationMatrix(long jarg1); + public final static native void PCAMatrix_eigen_power_set(long jarg1, PCAMatrix jarg1_, float jarg2); + public final static native float PCAMatrix_eigen_power_get(long jarg1, PCAMatrix jarg1_); + public final static native void PCAMatrix_epsilon_set(long jarg1, PCAMatrix jarg1_, float jarg2); + public final static native float PCAMatrix_epsilon_get(long jarg1, PCAMatrix jarg1_); + public final static native void PCAMatrix_random_rotation_set(long jarg1, PCAMatrix jarg1_, boolean jarg2); + public final static native boolean PCAMatrix_random_rotation_get(long jarg1, PCAMatrix jarg1_); + public final static native void PCAMatrix_max_points_per_d_set(long jarg1, PCAMatrix jarg1_, long jarg2); + public final static native long PCAMatrix_max_points_per_d_get(long jarg1, PCAMatrix jarg1_); + public final static native void PCAMatrix_balanced_bins_set(long jarg1, PCAMatrix jarg1_, int jarg2); + public final static native int PCAMatrix_balanced_bins_get(long jarg1, PCAMatrix jarg1_); + public final static native void PCAMatrix_mean_set(long jarg1, PCAMatrix jarg1_, long jarg2, FloatVector jarg2_); + public final static native long PCAMatrix_mean_get(long jarg1, PCAMatrix jarg1_); + public final static native void PCAMatrix_eigenvalues_set(long jarg1, PCAMatrix jarg1_, long jarg2, FloatVector jarg2_); + public final static native long PCAMatrix_eigenvalues_get(long jarg1, PCAMatrix jarg1_); + public final static native void PCAMatrix_PCAMat_set(long jarg1, PCAMatrix jarg1_, long jarg2, FloatVector jarg2_); + public final static native long PCAMatrix_PCAMat_get(long jarg1, PCAMatrix jarg1_); + public final static native long new_PCAMatrix__SWIG_0(int jarg1, int jarg2, float jarg3, boolean jarg4); + public final static native long new_PCAMatrix__SWIG_1(int jarg1, int jarg2, float jarg3); + public final static native long new_PCAMatrix__SWIG_2(int jarg1, int jarg2); + public final static native long new_PCAMatrix__SWIG_3(int jarg1); + public final static native long new_PCAMatrix__SWIG_4(); + public final static native void PCAMatrix_train(long jarg1, PCAMatrix jarg1_, long jarg2, long jarg3); + public final static native void PCAMatrix_copy_from(long jarg1, PCAMatrix jarg1_, long jarg2, PCAMatrix jarg2_); + public final static native void PCAMatrix_prepare_Ab(long jarg1, PCAMatrix jarg1_); + public final static native void delete_PCAMatrix(long jarg1); + public final static native void ITQMatrix_max_iter_set(long jarg1, ITQMatrix jarg1_, int jarg2); + public final static native int ITQMatrix_max_iter_get(long jarg1, ITQMatrix jarg1_); + public final static native void ITQMatrix_seed_set(long jarg1, ITQMatrix jarg1_, int jarg2); + public final static native int ITQMatrix_seed_get(long jarg1, ITQMatrix jarg1_); + public final static native void ITQMatrix_init_rotation_set(long jarg1, ITQMatrix jarg1_, long jarg2, DoubleVector jarg2_); + public final static native long ITQMatrix_init_rotation_get(long jarg1, ITQMatrix jarg1_); + public final static native long new_ITQMatrix__SWIG_0(int jarg1); + public final static native long new_ITQMatrix__SWIG_1(); + public final static native void ITQMatrix_train(long jarg1, ITQMatrix jarg1_, long jarg2, long jarg3); + public final static native void delete_ITQMatrix(long jarg1); + public final static native void ITQTransform_mean_set(long jarg1, ITQTransform jarg1_, long jarg2, FloatVector jarg2_); + public final static native long ITQTransform_mean_get(long jarg1, ITQTransform jarg1_); + public final static native void ITQTransform_do_pca_set(long jarg1, ITQTransform jarg1_, boolean jarg2); + public final static native boolean ITQTransform_do_pca_get(long jarg1, ITQTransform jarg1_); + public final static native void ITQTransform_itq_set(long jarg1, ITQTransform jarg1_, long jarg2, ITQMatrix jarg2_); + public final static native long ITQTransform_itq_get(long jarg1, ITQTransform jarg1_); + public final static native void ITQTransform_max_train_per_dim_set(long jarg1, ITQTransform jarg1_, int jarg2); + public final static native int ITQTransform_max_train_per_dim_get(long jarg1, ITQTransform jarg1_); + public final static native void ITQTransform_pca_then_itq_set(long jarg1, ITQTransform jarg1_, long jarg2, LinearTransform jarg2_); + public final static native long ITQTransform_pca_then_itq_get(long jarg1, ITQTransform jarg1_); + public final static native long new_ITQTransform__SWIG_0(int jarg1, int jarg2, boolean jarg3); + public final static native long new_ITQTransform__SWIG_1(int jarg1, int jarg2); + public final static native long new_ITQTransform__SWIG_2(int jarg1); + public final static native long new_ITQTransform__SWIG_3(); + public final static native void ITQTransform_train(long jarg1, ITQTransform jarg1_, long jarg2, long jarg3); + public final static native void ITQTransform_apply_noalloc(long jarg1, ITQTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_ITQTransform(long jarg1); + public final static native void OPQMatrix_M_set(long jarg1, OPQMatrix jarg1_, int jarg2); + public final static native int OPQMatrix_M_get(long jarg1, OPQMatrix jarg1_); + public final static native void OPQMatrix_niter_set(long jarg1, OPQMatrix jarg1_, int jarg2); + public final static native int OPQMatrix_niter_get(long jarg1, OPQMatrix jarg1_); + public final static native void OPQMatrix_niter_pq_set(long jarg1, OPQMatrix jarg1_, int jarg2); + public final static native int OPQMatrix_niter_pq_get(long jarg1, OPQMatrix jarg1_); + public final static native void OPQMatrix_niter_pq_0_set(long jarg1, OPQMatrix jarg1_, int jarg2); + public final static native int OPQMatrix_niter_pq_0_get(long jarg1, OPQMatrix jarg1_); + public final static native void OPQMatrix_max_train_points_set(long jarg1, OPQMatrix jarg1_, long jarg2); + public final static native long OPQMatrix_max_train_points_get(long jarg1, OPQMatrix jarg1_); + public final static native void OPQMatrix_verbose_set(long jarg1, OPQMatrix jarg1_, boolean jarg2); + public final static native boolean OPQMatrix_verbose_get(long jarg1, OPQMatrix jarg1_); + public final static native void OPQMatrix_pq_set(long jarg1, OPQMatrix jarg1_, long jarg2, ProductQuantizer jarg2_); + public final static native long OPQMatrix_pq_get(long jarg1, OPQMatrix jarg1_); + public final static native long new_OPQMatrix__SWIG_0(int jarg1, int jarg2, int jarg3); + public final static native long new_OPQMatrix__SWIG_1(int jarg1, int jarg2); + public final static native long new_OPQMatrix__SWIG_2(int jarg1); + public final static native long new_OPQMatrix__SWIG_3(); + public final static native void OPQMatrix_train(long jarg1, OPQMatrix jarg1_, long jarg2, long jarg3); + public final static native void delete_OPQMatrix(long jarg1); + public final static native void RemapDimensionsTransform_map_set(long jarg1, RemapDimensionsTransform jarg1_, long jarg2, IntVector jarg2_); + public final static native long RemapDimensionsTransform_map_get(long jarg1, RemapDimensionsTransform jarg1_); + public final static native long new_RemapDimensionsTransform__SWIG_0(int jarg1, int jarg2, long jarg3); + public final static native long new_RemapDimensionsTransform__SWIG_1(int jarg1, int jarg2, boolean jarg3); + public final static native long new_RemapDimensionsTransform__SWIG_2(int jarg1, int jarg2); + public final static native void RemapDimensionsTransform_apply_noalloc(long jarg1, RemapDimensionsTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void RemapDimensionsTransform_reverse_transform(long jarg1, RemapDimensionsTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long new_RemapDimensionsTransform__SWIG_3(); + public final static native void delete_RemapDimensionsTransform(long jarg1); + public final static native void NormalizationTransform_norm_set(long jarg1, NormalizationTransform jarg1_, float jarg2); + public final static native float NormalizationTransform_norm_get(long jarg1, NormalizationTransform jarg1_); + public final static native long new_NormalizationTransform__SWIG_0(int jarg1, float jarg2); + public final static native long new_NormalizationTransform__SWIG_1(int jarg1); + public final static native long new_NormalizationTransform__SWIG_2(); + public final static native void NormalizationTransform_apply_noalloc(long jarg1, NormalizationTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void NormalizationTransform_reverse_transform(long jarg1, NormalizationTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_NormalizationTransform(long jarg1); + public final static native void CenteringTransform_mean_set(long jarg1, CenteringTransform jarg1_, long jarg2, FloatVector jarg2_); + public final static native long CenteringTransform_mean_get(long jarg1, CenteringTransform jarg1_); + public final static native long new_CenteringTransform__SWIG_0(int jarg1); + public final static native long new_CenteringTransform__SWIG_1(); + public final static native void CenteringTransform_train(long jarg1, CenteringTransform jarg1_, long jarg2, long jarg3); + public final static native void CenteringTransform_apply_noalloc(long jarg1, CenteringTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void CenteringTransform_reverse_transform(long jarg1, CenteringTransform jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_CenteringTransform(long jarg1); + public final static native void IndexFlatCodes_code_size_set(long jarg1, IndexFlatCodes jarg1_, long jarg2); + public final static native long IndexFlatCodes_code_size_get(long jarg1, IndexFlatCodes jarg1_); + public final static native void IndexFlatCodes_codes_set(long jarg1, IndexFlatCodes jarg1_, long jarg2, ByteVector jarg2_); + public final static native long IndexFlatCodes_codes_get(long jarg1, IndexFlatCodes jarg1_); + public final static native void IndexFlatCodes_add(long jarg1, IndexFlatCodes jarg1_, long jarg2, long jarg3); + public final static native void IndexFlatCodes_reset(long jarg1, IndexFlatCodes jarg1_); + public final static native void IndexFlatCodes_reconstruct_n(long jarg1, IndexFlatCodes jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexFlatCodes_reconstruct(long jarg1, IndexFlatCodes jarg1_, long jarg2, long jarg3); + public final static native long IndexFlatCodes_sa_code_size(long jarg1, IndexFlatCodes jarg1_); + public final static native long IndexFlatCodes_remove_ids(long jarg1, IndexFlatCodes jarg1_, long jarg2, IDSelector jarg2_); + public final static native void delete_IndexFlatCodes(long jarg1); + public final static native long new_IndexFlat__SWIG_0(long jarg1, int jarg2); + public final static native long new_IndexFlat__SWIG_1(long jarg1); + public final static native void IndexFlat_search(long jarg1, IndexFlat jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexFlat_range_search(long jarg1, IndexFlat jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, RangeSearchResult jarg5_); + public final static native void IndexFlat_reconstruct(long jarg1, IndexFlat jarg1_, long jarg2, long jarg3); + public final static native void IndexFlat_compute_distance_subset(long jarg1, IndexFlat jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native long IndexFlat_get_xb__SWIG_0(long jarg1, IndexFlat jarg1_); + public final static native long new_IndexFlat__SWIG_2(); + public final static native long IndexFlat_get_distance_computer(long jarg1, IndexFlat jarg1_); + public final static native void IndexFlat_sa_encode(long jarg1, IndexFlat jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexFlat_sa_decode(long jarg1, IndexFlat jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_IndexFlat(long jarg1); + public final static native long new_IndexFlatIP__SWIG_0(long jarg1); + public final static native long new_IndexFlatIP__SWIG_1(); + public final static native void delete_IndexFlatIP(long jarg1); + public final static native long new_IndexFlatL2__SWIG_0(long jarg1); + public final static native long new_IndexFlatL2__SWIG_1(); + public final static native void delete_IndexFlatL2(long jarg1); + public final static native void IndexFlat1D_continuous_update_set(long jarg1, IndexFlat1D jarg1_, boolean jarg2); + public final static native boolean IndexFlat1D_continuous_update_get(long jarg1, IndexFlat1D jarg1_); + public final static native void IndexFlat1D_perm_set(long jarg1, IndexFlat1D jarg1_, long jarg2); + public final static native long IndexFlat1D_perm_get(long jarg1, IndexFlat1D jarg1_); + public final static native long new_IndexFlat1D__SWIG_0(boolean jarg1); + public final static native long new_IndexFlat1D__SWIG_1(); + public final static native void IndexFlat1D_update_permutation(long jarg1, IndexFlat1D jarg1_); + public final static native void IndexFlat1D_add(long jarg1, IndexFlat1D jarg1_, long jarg2, long jarg3); + public final static native void IndexFlat1D_reset(long jarg1, IndexFlat1D jarg1_); + public final static native void IndexFlat1D_search(long jarg1, IndexFlat1D jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void delete_IndexFlat1D(long jarg1); + public final static native void IndexLSH_nbits_set(long jarg1, IndexLSH jarg1_, int jarg2); + public final static native int IndexLSH_nbits_get(long jarg1, IndexLSH jarg1_); + public final static native void IndexLSH_rotate_data_set(long jarg1, IndexLSH jarg1_, boolean jarg2); + public final static native boolean IndexLSH_rotate_data_get(long jarg1, IndexLSH jarg1_); + public final static native void IndexLSH_train_thresholds_set(long jarg1, IndexLSH jarg1_, boolean jarg2); + public final static native boolean IndexLSH_train_thresholds_get(long jarg1, IndexLSH jarg1_); + public final static native void IndexLSH_rrot_set(long jarg1, IndexLSH jarg1_, long jarg2, RandomRotationMatrix jarg2_); + public final static native long IndexLSH_rrot_get(long jarg1, IndexLSH jarg1_); + public final static native void IndexLSH_thresholds_set(long jarg1, IndexLSH jarg1_, long jarg2, FloatVector jarg2_); + public final static native long IndexLSH_thresholds_get(long jarg1, IndexLSH jarg1_); + public final static native long new_IndexLSH__SWIG_0(long jarg1, int jarg2, boolean jarg3, boolean jarg4); + public final static native long new_IndexLSH__SWIG_1(long jarg1, int jarg2, boolean jarg3); + public final static native long new_IndexLSH__SWIG_2(long jarg1, int jarg2); + public final static native long IndexLSH_apply_preprocess(long jarg1, IndexLSH jarg1_, long jarg2, long jarg3); + public final static native void IndexLSH_train(long jarg1, IndexLSH jarg1_, long jarg2, long jarg3); + public final static native void IndexLSH_search(long jarg1, IndexLSH jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexLSH_transfer_thresholds(long jarg1, IndexLSH jarg1_, long jarg2, LinearTransform jarg2_); + public final static native void delete_IndexLSH(long jarg1); + public final static native long new_IndexLSH__SWIG_3(); + public final static native void IndexLSH_sa_encode(long jarg1, IndexLSH jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexLSH_sa_decode(long jarg1, IndexLSH jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void SimulatedAnnealingParameters_init_temperature_set(long jarg1, SimulatedAnnealingParameters jarg1_, double jarg2); + public final static native double SimulatedAnnealingParameters_init_temperature_get(long jarg1, SimulatedAnnealingParameters jarg1_); + public final static native void SimulatedAnnealingParameters_temperature_decay_set(long jarg1, SimulatedAnnealingParameters jarg1_, double jarg2); + public final static native double SimulatedAnnealingParameters_temperature_decay_get(long jarg1, SimulatedAnnealingParameters jarg1_); + public final static native void SimulatedAnnealingParameters_n_iter_set(long jarg1, SimulatedAnnealingParameters jarg1_, int jarg2); + public final static native int SimulatedAnnealingParameters_n_iter_get(long jarg1, SimulatedAnnealingParameters jarg1_); + public final static native void SimulatedAnnealingParameters_n_redo_set(long jarg1, SimulatedAnnealingParameters jarg1_, int jarg2); + public final static native int SimulatedAnnealingParameters_n_redo_get(long jarg1, SimulatedAnnealingParameters jarg1_); + public final static native void SimulatedAnnealingParameters_seed_set(long jarg1, SimulatedAnnealingParameters jarg1_, int jarg2); + public final static native int SimulatedAnnealingParameters_seed_get(long jarg1, SimulatedAnnealingParameters jarg1_); + public final static native void SimulatedAnnealingParameters_verbose_set(long jarg1, SimulatedAnnealingParameters jarg1_, int jarg2); + public final static native int SimulatedAnnealingParameters_verbose_get(long jarg1, SimulatedAnnealingParameters jarg1_); + public final static native void SimulatedAnnealingParameters_only_bit_flips_set(long jarg1, SimulatedAnnealingParameters jarg1_, boolean jarg2); + public final static native boolean SimulatedAnnealingParameters_only_bit_flips_get(long jarg1, SimulatedAnnealingParameters jarg1_); + public final static native void SimulatedAnnealingParameters_init_random_set(long jarg1, SimulatedAnnealingParameters jarg1_, boolean jarg2); + public final static native boolean SimulatedAnnealingParameters_init_random_get(long jarg1, SimulatedAnnealingParameters jarg1_); + public final static native long new_SimulatedAnnealingParameters(); + public final static native void delete_SimulatedAnnealingParameters(long jarg1); + public final static native void PermutationObjective_n_set(long jarg1, PermutationObjective jarg1_, int jarg2); + public final static native int PermutationObjective_n_get(long jarg1, PermutationObjective jarg1_); + public final static native double PermutationObjective_compute_cost(long jarg1, PermutationObjective jarg1_, long jarg2); + public final static native double PermutationObjective_cost_update(long jarg1, PermutationObjective jarg1_, long jarg2, int jarg3, int jarg4); + public final static native void delete_PermutationObjective(long jarg1); + public final static native void ReproduceDistancesObjective_dis_weight_factor_set(long jarg1, ReproduceDistancesObjective jarg1_, double jarg2); + public final static native double ReproduceDistancesObjective_dis_weight_factor_get(long jarg1, ReproduceDistancesObjective jarg1_); + public final static native double ReproduceDistancesObjective_sqr(double jarg1); + public final static native double ReproduceDistancesObjective_dis_weight(long jarg1, ReproduceDistancesObjective jarg1_, double jarg2); + public final static native void ReproduceDistancesObjective_source_dis_set(long jarg1, ReproduceDistancesObjective jarg1_, long jarg2, DoubleVector jarg2_); + public final static native long ReproduceDistancesObjective_source_dis_get(long jarg1, ReproduceDistancesObjective jarg1_); + public final static native void ReproduceDistancesObjective_target_dis_set(long jarg1, ReproduceDistancesObjective jarg1_, long jarg2); + public final static native long ReproduceDistancesObjective_target_dis_get(long jarg1, ReproduceDistancesObjective jarg1_); + public final static native void ReproduceDistancesObjective_weights_set(long jarg1, ReproduceDistancesObjective jarg1_, long jarg2, DoubleVector jarg2_); + public final static native long ReproduceDistancesObjective_weights_get(long jarg1, ReproduceDistancesObjective jarg1_); + public final static native double ReproduceDistancesObjective_get_source_dis(long jarg1, ReproduceDistancesObjective jarg1_, int jarg2, int jarg3); + public final static native double ReproduceDistancesObjective_compute_cost(long jarg1, ReproduceDistancesObjective jarg1_, long jarg2); + public final static native double ReproduceDistancesObjective_cost_update(long jarg1, ReproduceDistancesObjective jarg1_, long jarg2, int jarg3, int jarg4); + public final static native long new_ReproduceDistancesObjective(int jarg1, long jarg2, long jarg3, double jarg4); + public final static native void ReproduceDistancesObjective_compute_mean_stdev(long jarg1, long jarg2, long jarg3, long jarg4); + public final static native void ReproduceDistancesObjective_set_affine_target_dis(long jarg1, ReproduceDistancesObjective jarg1_, long jarg2); + public final static native void delete_ReproduceDistancesObjective(long jarg1); + public final static native void SimulatedAnnealingOptimizer_obj_set(long jarg1, SimulatedAnnealingOptimizer jarg1_, long jarg2, PermutationObjective jarg2_); + public final static native long SimulatedAnnealingOptimizer_obj_get(long jarg1, SimulatedAnnealingOptimizer jarg1_); + public final static native void SimulatedAnnealingOptimizer_n_set(long jarg1, SimulatedAnnealingOptimizer jarg1_, int jarg2); + public final static native int SimulatedAnnealingOptimizer_n_get(long jarg1, SimulatedAnnealingOptimizer jarg1_); + public final static native void SimulatedAnnealingOptimizer_logfile_set(long jarg1, SimulatedAnnealingOptimizer jarg1_, long jarg2); + public final static native long SimulatedAnnealingOptimizer_logfile_get(long jarg1, SimulatedAnnealingOptimizer jarg1_); + public final static native long new_SimulatedAnnealingOptimizer(long jarg1, PermutationObjective jarg1_, long jarg2, SimulatedAnnealingParameters jarg2_); + public final static native void SimulatedAnnealingOptimizer_rnd_set(long jarg1, SimulatedAnnealingOptimizer jarg1_, long jarg2); + public final static native long SimulatedAnnealingOptimizer_rnd_get(long jarg1, SimulatedAnnealingOptimizer jarg1_); + public final static native void SimulatedAnnealingOptimizer_init_cost_set(long jarg1, SimulatedAnnealingOptimizer jarg1_, double jarg2); + public final static native double SimulatedAnnealingOptimizer_init_cost_get(long jarg1, SimulatedAnnealingOptimizer jarg1_); + public final static native double SimulatedAnnealingOptimizer_optimize(long jarg1, SimulatedAnnealingOptimizer jarg1_, long jarg2); + public final static native double SimulatedAnnealingOptimizer_run_optimization(long jarg1, SimulatedAnnealingOptimizer jarg1_, long jarg2); + public final static native void delete_SimulatedAnnealingOptimizer(long jarg1); + public final static native void PolysemousTraining_optimization_type_set(long jarg1, PolysemousTraining jarg1_, int jarg2); + public final static native int PolysemousTraining_optimization_type_get(long jarg1, PolysemousTraining jarg1_); + public final static native void PolysemousTraining_ntrain_permutation_set(long jarg1, PolysemousTraining jarg1_, int jarg2); + public final static native int PolysemousTraining_ntrain_permutation_get(long jarg1, PolysemousTraining jarg1_); + public final static native void PolysemousTraining_dis_weight_factor_set(long jarg1, PolysemousTraining jarg1_, double jarg2); + public final static native double PolysemousTraining_dis_weight_factor_get(long jarg1, PolysemousTraining jarg1_); + public final static native void PolysemousTraining_max_memory_set(long jarg1, PolysemousTraining jarg1_, long jarg2); + public final static native long PolysemousTraining_max_memory_get(long jarg1, PolysemousTraining jarg1_); + public final static native void PolysemousTraining_log_pattern_set(long jarg1, PolysemousTraining jarg1_, String jarg2); + public final static native String PolysemousTraining_log_pattern_get(long jarg1, PolysemousTraining jarg1_); + public final static native long new_PolysemousTraining(); + public final static native void PolysemousTraining_optimize_pq_for_hamming(long jarg1, PolysemousTraining jarg1_, long jarg2, ProductQuantizer jarg2_, long jarg3, long jarg4); + public final static native void PolysemousTraining_optimize_ranking(long jarg1, PolysemousTraining jarg1_, long jarg2, ProductQuantizer jarg2_, long jarg3, long jarg4); + public final static native void PolysemousTraining_optimize_reproduce_distances(long jarg1, PolysemousTraining jarg1_, long jarg2, ProductQuantizer jarg2_); + public final static native long PolysemousTraining_memory_usage_per_thread(long jarg1, PolysemousTraining jarg1_, long jarg2, ProductQuantizer jarg2_); + public final static native void delete_PolysemousTraining(long jarg1); + public final static native void IndexPQ_pq_set(long jarg1, IndexPQ jarg1_, long jarg2, ProductQuantizer jarg2_); + public final static native long IndexPQ_pq_get(long jarg1, IndexPQ jarg1_); + public final static native long new_IndexPQ__SWIG_0(int jarg1, long jarg2, long jarg3, int jarg4); + public final static native long new_IndexPQ__SWIG_1(int jarg1, long jarg2, long jarg3); + public final static native long new_IndexPQ__SWIG_2(); + public final static native void IndexPQ_train(long jarg1, IndexPQ jarg1_, long jarg2, long jarg3); + public final static native void IndexPQ_search(long jarg1, IndexPQ jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexPQ_sa_encode(long jarg1, IndexPQ jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexPQ_sa_decode(long jarg1, IndexPQ jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long IndexPQ_get_distance_computer(long jarg1, IndexPQ jarg1_); + public final static native void IndexPQ_do_polysemous_training_set(long jarg1, IndexPQ jarg1_, boolean jarg2); + public final static native boolean IndexPQ_do_polysemous_training_get(long jarg1, IndexPQ jarg1_); + public final static native void IndexPQ_polysemous_training_set(long jarg1, IndexPQ jarg1_, long jarg2, PolysemousTraining jarg2_); + public final static native long IndexPQ_polysemous_training_get(long jarg1, IndexPQ jarg1_); + public final static native void IndexPQ_search_type_set(long jarg1, IndexPQ jarg1_, int jarg2); + public final static native int IndexPQ_search_type_get(long jarg1, IndexPQ jarg1_); + public final static native void IndexPQ_encode_signs_set(long jarg1, IndexPQ jarg1_, boolean jarg2); + public final static native boolean IndexPQ_encode_signs_get(long jarg1, IndexPQ jarg1_); + public final static native void IndexPQ_polysemous_ht_set(long jarg1, IndexPQ jarg1_, int jarg2); + public final static native int IndexPQ_polysemous_ht_get(long jarg1, IndexPQ jarg1_); + public final static native void IndexPQ_search_core_polysemous(long jarg1, IndexPQ jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexPQ_hamming_distance_histogram(long jarg1, IndexPQ jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexPQ_hamming_distance_table(long jarg1, IndexPQ jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_IndexPQ(long jarg1); + public final static native void IndexPQStats_nq_set(long jarg1, IndexPQStats jarg1_, long jarg2); + public final static native long IndexPQStats_nq_get(long jarg1, IndexPQStats jarg1_); + public final static native void IndexPQStats_ncode_set(long jarg1, IndexPQStats jarg1_, long jarg2); + public final static native long IndexPQStats_ncode_get(long jarg1, IndexPQStats jarg1_); + public final static native void IndexPQStats_n_hamming_pass_set(long jarg1, IndexPQStats jarg1_, long jarg2); + public final static native long IndexPQStats_n_hamming_pass_get(long jarg1, IndexPQStats jarg1_); + public final static native long new_IndexPQStats(); + public final static native void IndexPQStats_reset(long jarg1, IndexPQStats jarg1_); + public final static native void delete_IndexPQStats(long jarg1); + public final static native void indexPQ_stats_set(long jarg1, IndexPQStats jarg1_); + public final static native long indexPQ_stats_get(); + public final static native void MultiIndexQuantizer_pq_set(long jarg1, MultiIndexQuantizer jarg1_, long jarg2, ProductQuantizer jarg2_); + public final static native long MultiIndexQuantizer_pq_get(long jarg1, MultiIndexQuantizer jarg1_); + public final static native long new_MultiIndexQuantizer__SWIG_0(int jarg1, long jarg2, long jarg3); + public final static native void MultiIndexQuantizer_train(long jarg1, MultiIndexQuantizer jarg1_, long jarg2, long jarg3); + public final static native void MultiIndexQuantizer_search(long jarg1, MultiIndexQuantizer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void MultiIndexQuantizer_add(long jarg1, MultiIndexQuantizer jarg1_, long jarg2, long jarg3); + public final static native void MultiIndexQuantizer_reset(long jarg1, MultiIndexQuantizer jarg1_); + public final static native long new_MultiIndexQuantizer__SWIG_1(); + public final static native void MultiIndexQuantizer_reconstruct(long jarg1, MultiIndexQuantizer jarg1_, long jarg2, long jarg3); + public final static native void delete_MultiIndexQuantizer(long jarg1); + public final static native void MultiIndexQuantizer2_assign_indexes_set(long jarg1, MultiIndexQuantizer2 jarg1_, long jarg2); + public final static native long MultiIndexQuantizer2_assign_indexes_get(long jarg1, MultiIndexQuantizer2 jarg1_); + public final static native void MultiIndexQuantizer2_own_fields_set(long jarg1, MultiIndexQuantizer2 jarg1_, boolean jarg2); + public final static native boolean MultiIndexQuantizer2_own_fields_get(long jarg1, MultiIndexQuantizer2 jarg1_); + public final static native long new_MultiIndexQuantizer2__SWIG_0(int jarg1, long jarg2, long jarg3, long jarg4); + public final static native long new_MultiIndexQuantizer2__SWIG_1(int jarg1, long jarg2, long jarg3, Index jarg3_, long jarg4, Index jarg4_); + public final static native void MultiIndexQuantizer2_train(long jarg1, MultiIndexQuantizer2 jarg1_, long jarg2, long jarg3); + public final static native void MultiIndexQuantizer2_search(long jarg1, MultiIndexQuantizer2 jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void delete_MultiIndexQuantizer2(long jarg1); + public final static native void InvertedLists_nlist_set(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native long InvertedLists_nlist_get(long jarg1, InvertedLists jarg1_); + public final static native void InvertedLists_code_size_set(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native long InvertedLists_code_size_get(long jarg1, InvertedLists jarg1_); + public final static native long InvertedLists_INVALID_CODE_SIZE_get(); + public final static native long InvertedLists_list_size(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native long InvertedLists_get_codes(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native long InvertedLists_get_ids(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native void InvertedLists_release_codes(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3); + public final static native void InvertedLists_release_ids(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long InvertedLists_get_single_id(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3); + public final static native long InvertedLists_get_single_code(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3); + public final static native void InvertedLists_prefetch_lists(long jarg1, InvertedLists jarg1_, long jarg2, LongVector jarg2_, int jarg3); + public final static native long InvertedLists_add_entry(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long InvertedLists_add_entries(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void InvertedLists_update_entry(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void InvertedLists_update_entries(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6); + public final static native void InvertedLists_resize(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3); + public final static native void InvertedLists_reset(long jarg1, InvertedLists jarg1_); + public final static native void InvertedLists_merge_from(long jarg1, InvertedLists jarg1_, long jarg2, InvertedLists jarg2_, long jarg3); + public final static native void delete_InvertedLists(long jarg1); + public final static native double InvertedLists_imbalance_factor(long jarg1, InvertedLists jarg1_); + public final static native void InvertedLists_print_stats(long jarg1, InvertedLists jarg1_); + public final static native long InvertedLists_compute_ntotal(long jarg1, InvertedLists jarg1_); + public final static native void InvertedLists_ScopedIds_il_set(long jarg1, InvertedLists.ScopedIds jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long InvertedLists_ScopedIds_il_get(long jarg1, InvertedLists.ScopedIds jarg1_); + public final static native void InvertedLists_ScopedIds_ids_set(long jarg1, InvertedLists.ScopedIds jarg1_, long jarg2, LongVector jarg2_); + public final static native long InvertedLists_ScopedIds_ids_get(long jarg1, InvertedLists.ScopedIds jarg1_); + public final static native void InvertedLists_ScopedIds_list_no_set(long jarg1, InvertedLists.ScopedIds jarg1_, long jarg2); + public final static native long InvertedLists_ScopedIds_list_no_get(long jarg1, InvertedLists.ScopedIds jarg1_); + public final static native long new_InvertedLists_ScopedIds(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native long InvertedLists_ScopedIds_get(long jarg1, InvertedLists.ScopedIds jarg1_); + public final static native void delete_InvertedLists_ScopedIds(long jarg1); + public final static native void InvertedLists_ScopedCodes_il_set(long jarg1, InvertedLists.ScopedCodes jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long InvertedLists_ScopedCodes_il_get(long jarg1, InvertedLists.ScopedCodes jarg1_); + public final static native void InvertedLists_ScopedCodes_codes_set(long jarg1, InvertedLists.ScopedCodes jarg1_, long jarg2); + public final static native long InvertedLists_ScopedCodes_codes_get(long jarg1, InvertedLists.ScopedCodes jarg1_); + public final static native void InvertedLists_ScopedCodes_list_no_set(long jarg1, InvertedLists.ScopedCodes jarg1_, long jarg2); + public final static native long InvertedLists_ScopedCodes_list_no_get(long jarg1, InvertedLists.ScopedCodes jarg1_); + public final static native long new_InvertedLists_ScopedCodes__SWIG_0(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native long new_InvertedLists_ScopedCodes__SWIG_1(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3); + public final static native long InvertedLists_ScopedCodes_get(long jarg1, InvertedLists.ScopedCodes jarg1_); + public final static native void delete_InvertedLists_ScopedCodes(long jarg1); + public final static native void ArrayInvertedLists_codes_set(long jarg1, ArrayInvertedLists jarg1_, long jarg2, ByteVectorVector jarg2_); + public final static native long ArrayInvertedLists_codes_get(long jarg1, ArrayInvertedLists jarg1_); + public final static native void ArrayInvertedLists_ids_set(long jarg1, ArrayInvertedLists jarg1_, long jarg2); + public final static native long ArrayInvertedLists_ids_get(long jarg1, ArrayInvertedLists jarg1_); + public final static native long new_ArrayInvertedLists(long jarg1, long jarg2); + public final static native long ArrayInvertedLists_list_size(long jarg1, ArrayInvertedLists jarg1_, long jarg2); + public final static native long ArrayInvertedLists_get_codes(long jarg1, ArrayInvertedLists jarg1_, long jarg2); + public final static native long ArrayInvertedLists_get_ids(long jarg1, ArrayInvertedLists jarg1_, long jarg2); + public final static native long ArrayInvertedLists_add_entries(long jarg1, ArrayInvertedLists jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void ArrayInvertedLists_update_entries(long jarg1, ArrayInvertedLists jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6); + public final static native void ArrayInvertedLists_resize(long jarg1, ArrayInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void delete_ArrayInvertedLists(long jarg1); + public final static native long ReadOnlyInvertedLists_add_entries(long jarg1, ReadOnlyInvertedLists jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void ReadOnlyInvertedLists_update_entries(long jarg1, ReadOnlyInvertedLists jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6); + public final static native void ReadOnlyInvertedLists_resize(long jarg1, ReadOnlyInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void delete_ReadOnlyInvertedLists(long jarg1); + public final static native void HStackInvertedLists_ils_set(long jarg1, HStackInvertedLists jarg1_, long jarg2); + public final static native long HStackInvertedLists_ils_get(long jarg1, HStackInvertedLists jarg1_); + public final static native long new_HStackInvertedLists(int jarg1, long jarg2); + public final static native long HStackInvertedLists_list_size(long jarg1, HStackInvertedLists jarg1_, long jarg2); + public final static native long HStackInvertedLists_get_codes(long jarg1, HStackInvertedLists jarg1_, long jarg2); + public final static native long HStackInvertedLists_get_ids(long jarg1, HStackInvertedLists jarg1_, long jarg2); + public final static native void HStackInvertedLists_prefetch_lists(long jarg1, HStackInvertedLists jarg1_, long jarg2, LongVector jarg2_, int jarg3); + public final static native void HStackInvertedLists_release_codes(long jarg1, HStackInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void HStackInvertedLists_release_ids(long jarg1, HStackInvertedLists jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long HStackInvertedLists_get_single_id(long jarg1, HStackInvertedLists jarg1_, long jarg2, long jarg3); + public final static native long HStackInvertedLists_get_single_code(long jarg1, HStackInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void delete_HStackInvertedLists(long jarg1); + public final static native void SliceInvertedLists_il_set(long jarg1, SliceInvertedLists jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long SliceInvertedLists_il_get(long jarg1, SliceInvertedLists jarg1_); + public final static native void SliceInvertedLists_i0_set(long jarg1, SliceInvertedLists jarg1_, long jarg2); + public final static native long SliceInvertedLists_i0_get(long jarg1, SliceInvertedLists jarg1_); + public final static native void SliceInvertedLists_i1_set(long jarg1, SliceInvertedLists jarg1_, long jarg2); + public final static native long SliceInvertedLists_i1_get(long jarg1, SliceInvertedLists jarg1_); + public final static native long new_SliceInvertedLists(long jarg1, InvertedLists jarg1_, long jarg2, long jarg3); + public final static native long SliceInvertedLists_list_size(long jarg1, SliceInvertedLists jarg1_, long jarg2); + public final static native long SliceInvertedLists_get_codes(long jarg1, SliceInvertedLists jarg1_, long jarg2); + public final static native long SliceInvertedLists_get_ids(long jarg1, SliceInvertedLists jarg1_, long jarg2); + public final static native void SliceInvertedLists_release_codes(long jarg1, SliceInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void SliceInvertedLists_release_ids(long jarg1, SliceInvertedLists jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long SliceInvertedLists_get_single_id(long jarg1, SliceInvertedLists jarg1_, long jarg2, long jarg3); + public final static native long SliceInvertedLists_get_single_code(long jarg1, SliceInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void SliceInvertedLists_prefetch_lists(long jarg1, SliceInvertedLists jarg1_, long jarg2, LongVector jarg2_, int jarg3); + public final static native void delete_SliceInvertedLists(long jarg1); + public final static native void VStackInvertedLists_ils_set(long jarg1, VStackInvertedLists jarg1_, long jarg2); + public final static native long VStackInvertedLists_ils_get(long jarg1, VStackInvertedLists jarg1_); + public final static native void VStackInvertedLists_cumsz_set(long jarg1, VStackInvertedLists jarg1_, long jarg2); + public final static native long VStackInvertedLists_cumsz_get(long jarg1, VStackInvertedLists jarg1_); + public final static native long new_VStackInvertedLists(int jarg1, long jarg2); + public final static native long VStackInvertedLists_list_size(long jarg1, VStackInvertedLists jarg1_, long jarg2); + public final static native long VStackInvertedLists_get_codes(long jarg1, VStackInvertedLists jarg1_, long jarg2); + public final static native long VStackInvertedLists_get_ids(long jarg1, VStackInvertedLists jarg1_, long jarg2); + public final static native void VStackInvertedLists_release_codes(long jarg1, VStackInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void VStackInvertedLists_release_ids(long jarg1, VStackInvertedLists jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long VStackInvertedLists_get_single_id(long jarg1, VStackInvertedLists jarg1_, long jarg2, long jarg3); + public final static native long VStackInvertedLists_get_single_code(long jarg1, VStackInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void VStackInvertedLists_prefetch_lists(long jarg1, VStackInvertedLists jarg1_, long jarg2, LongVector jarg2_, int jarg3); + public final static native void delete_VStackInvertedLists(long jarg1); + public final static native void MaskedInvertedLists_il0_set(long jarg1, MaskedInvertedLists jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long MaskedInvertedLists_il0_get(long jarg1, MaskedInvertedLists jarg1_); + public final static native void MaskedInvertedLists_il1_set(long jarg1, MaskedInvertedLists jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long MaskedInvertedLists_il1_get(long jarg1, MaskedInvertedLists jarg1_); + public final static native long new_MaskedInvertedLists(long jarg1, InvertedLists jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long MaskedInvertedLists_list_size(long jarg1, MaskedInvertedLists jarg1_, long jarg2); + public final static native long MaskedInvertedLists_get_codes(long jarg1, MaskedInvertedLists jarg1_, long jarg2); + public final static native long MaskedInvertedLists_get_ids(long jarg1, MaskedInvertedLists jarg1_, long jarg2); + public final static native void MaskedInvertedLists_release_codes(long jarg1, MaskedInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void MaskedInvertedLists_release_ids(long jarg1, MaskedInvertedLists jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long MaskedInvertedLists_get_single_id(long jarg1, MaskedInvertedLists jarg1_, long jarg2, long jarg3); + public final static native long MaskedInvertedLists_get_single_code(long jarg1, MaskedInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void MaskedInvertedLists_prefetch_lists(long jarg1, MaskedInvertedLists jarg1_, long jarg2, LongVector jarg2_, int jarg3); + public final static native void delete_MaskedInvertedLists(long jarg1); + public final static native void StopWordsInvertedLists_il0_set(long jarg1, StopWordsInvertedLists jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long StopWordsInvertedLists_il0_get(long jarg1, StopWordsInvertedLists jarg1_); + public final static native void StopWordsInvertedLists_maxsize_set(long jarg1, StopWordsInvertedLists jarg1_, long jarg2); + public final static native long StopWordsInvertedLists_maxsize_get(long jarg1, StopWordsInvertedLists jarg1_); + public final static native long new_StopWordsInvertedLists(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native long StopWordsInvertedLists_list_size(long jarg1, StopWordsInvertedLists jarg1_, long jarg2); + public final static native long StopWordsInvertedLists_get_codes(long jarg1, StopWordsInvertedLists jarg1_, long jarg2); + public final static native long StopWordsInvertedLists_get_ids(long jarg1, StopWordsInvertedLists jarg1_, long jarg2); + public final static native void StopWordsInvertedLists_release_codes(long jarg1, StopWordsInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void StopWordsInvertedLists_release_ids(long jarg1, StopWordsInvertedLists jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long StopWordsInvertedLists_get_single_id(long jarg1, StopWordsInvertedLists jarg1_, long jarg2, long jarg3); + public final static native long StopWordsInvertedLists_get_single_code(long jarg1, StopWordsInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void StopWordsInvertedLists_prefetch_lists(long jarg1, StopWordsInvertedLists jarg1_, long jarg2, LongVector jarg2_, int jarg3); + public final static native void delete_StopWordsInvertedLists(long jarg1); + public final static native void Level1Quantizer_quantizer_set(long jarg1, Level1Quantizer jarg1_, long jarg2, Index jarg2_); + public final static native long Level1Quantizer_quantizer_get(long jarg1, Level1Quantizer jarg1_); + public final static native void Level1Quantizer_nlist_set(long jarg1, Level1Quantizer jarg1_, long jarg2); + public final static native long Level1Quantizer_nlist_get(long jarg1, Level1Quantizer jarg1_); + public final static native void Level1Quantizer_quantizer_trains_alone_set(long jarg1, Level1Quantizer jarg1_, char jarg2); + public final static native char Level1Quantizer_quantizer_trains_alone_get(long jarg1, Level1Quantizer jarg1_); + public final static native void Level1Quantizer_own_fields_set(long jarg1, Level1Quantizer jarg1_, boolean jarg2); + public final static native boolean Level1Quantizer_own_fields_get(long jarg1, Level1Quantizer jarg1_); + public final static native void Level1Quantizer_cp_set(long jarg1, Level1Quantizer jarg1_, long jarg2, ClusteringParameters jarg2_); + public final static native long Level1Quantizer_cp_get(long jarg1, Level1Quantizer jarg1_); + public final static native void Level1Quantizer_clustering_index_set(long jarg1, Level1Quantizer jarg1_, long jarg2, Index jarg2_); + public final static native long Level1Quantizer_clustering_index_get(long jarg1, Level1Quantizer jarg1_); + public final static native void Level1Quantizer_train_q1(long jarg1, Level1Quantizer jarg1_, long jarg2, long jarg3, boolean jarg4, int jarg5); + public final static native long Level1Quantizer_coarse_code_size(long jarg1, Level1Quantizer jarg1_); + public final static native void Level1Quantizer_encode_listno(long jarg1, Level1Quantizer jarg1_, long jarg2, long jarg3); + public final static native long Level1Quantizer_decode_listno(long jarg1, Level1Quantizer jarg1_, long jarg2); + public final static native long new_Level1Quantizer__SWIG_0(long jarg1, Index jarg1_, long jarg2); + public final static native long new_Level1Quantizer__SWIG_1(); + public final static native void delete_Level1Quantizer(long jarg1); + public final static native void IVFSearchParameters_nprobe_set(long jarg1, IVFSearchParameters jarg1_, long jarg2); + public final static native long IVFSearchParameters_nprobe_get(long jarg1, IVFSearchParameters jarg1_); + public final static native void IVFSearchParameters_max_codes_set(long jarg1, IVFSearchParameters jarg1_, long jarg2); + public final static native long IVFSearchParameters_max_codes_get(long jarg1, IVFSearchParameters jarg1_); + public final static native long new_IVFSearchParameters(); + public final static native void delete_IVFSearchParameters(long jarg1); + public final static native void IndexIVF_invlists_set(long jarg1, IndexIVF jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long IndexIVF_invlists_get(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_own_invlists_set(long jarg1, IndexIVF jarg1_, boolean jarg2); + public final static native boolean IndexIVF_own_invlists_get(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_code_size_set(long jarg1, IndexIVF jarg1_, long jarg2); + public final static native long IndexIVF_code_size_get(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_nprobe_set(long jarg1, IndexIVF jarg1_, long jarg2); + public final static native long IndexIVF_nprobe_get(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_max_codes_set(long jarg1, IndexIVF jarg1_, long jarg2); + public final static native long IndexIVF_max_codes_get(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_parallel_mode_set(long jarg1, IndexIVF jarg1_, int jarg2); + public final static native int IndexIVF_parallel_mode_get(long jarg1, IndexIVF jarg1_); + public final static native int IndexIVF_PARALLEL_MODE_NO_HEAP_INIT_get(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_direct_map_set(long jarg1, IndexIVF jarg1_, long jarg2); + public final static native long IndexIVF_direct_map_get(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_reset(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_train(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3); + public final static native void IndexIVF_add(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3); + public final static native void IndexIVF_add_with_ids(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexIVF_add_core(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, LongVector jarg5_); + public final static native void IndexIVF_encode_vectors__SWIG_0(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, boolean jarg6); + public final static native void IndexIVF_encode_vectors__SWIG_1(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void IndexIVF_add_sa_codes(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexIVF_train_residual(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3); + public final static native void IndexIVF_search_preassigned__SWIG_0(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, long jarg8, LongVector jarg8_, boolean jarg9, long jarg10, IVFSearchParameters jarg10_, long jarg11, IndexIVFStats jarg11_); + public final static native void IndexIVF_search_preassigned__SWIG_1(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, long jarg8, LongVector jarg8_, boolean jarg9, long jarg10, IVFSearchParameters jarg10_); + public final static native void IndexIVF_search_preassigned__SWIG_2(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, long jarg8, LongVector jarg8_, boolean jarg9); + public final static native void IndexIVF_search(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexIVF_range_search(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, RangeSearchResult jarg5_); + public final static native void IndexIVF_range_search_preassigned__SWIG_0(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, RangeSearchResult jarg7_, boolean jarg8, long jarg9, IVFSearchParameters jarg9_, long jarg10, IndexIVFStats jarg10_); + public final static native void IndexIVF_range_search_preassigned__SWIG_1(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, RangeSearchResult jarg7_, boolean jarg8, long jarg9, IVFSearchParameters jarg9_); + public final static native void IndexIVF_range_search_preassigned__SWIG_2(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, RangeSearchResult jarg7_, boolean jarg8); + public final static native void IndexIVF_range_search_preassigned__SWIG_3(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, RangeSearchResult jarg7_); + public final static native long IndexIVF_get_InvertedListScanner__SWIG_0(long jarg1, IndexIVF jarg1_, boolean jarg2); + public final static native long IndexIVF_get_InvertedListScanner__SWIG_1(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_reconstruct(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3); + public final static native void IndexIVF_update_vectors(long jarg1, IndexIVF jarg1_, int jarg2, long jarg3, LongVector jarg3_, long jarg4); + public final static native void IndexIVF_reconstruct_n(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexIVF_search_and_reconstruct(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_, long jarg7); + public final static native void IndexIVF_reconstruct_from_offset(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long IndexIVF_remove_ids(long jarg1, IndexIVF jarg1_, long jarg2, IDSelector jarg2_); + public final static native void IndexIVF_check_compatible_for_merge(long jarg1, IndexIVF jarg1_, long jarg2, IndexIVF jarg2_); + public final static native void IndexIVF_merge_from(long jarg1, IndexIVF jarg1_, long jarg2, IndexIVF jarg2_, long jarg3); + public final static native void IndexIVF_copy_subset_to(long jarg1, IndexIVF jarg1_, long jarg2, IndexIVF jarg2_, int jarg3, long jarg4, long jarg5); + public final static native void delete_IndexIVF(long jarg1); + public final static native long IndexIVF_get_list_size(long jarg1, IndexIVF jarg1_, long jarg2); + public final static native void IndexIVF_make_direct_map__SWIG_0(long jarg1, IndexIVF jarg1_, boolean jarg2); + public final static native void IndexIVF_make_direct_map__SWIG_1(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_set_direct_map_type(long jarg1, IndexIVF jarg1_, long jarg2); + public final static native void IndexIVF_replace_invlists__SWIG_0(long jarg1, IndexIVF jarg1_, long jarg2, InvertedLists jarg2_, boolean jarg3); + public final static native void IndexIVF_replace_invlists__SWIG_1(long jarg1, IndexIVF jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long IndexIVF_sa_code_size(long jarg1, IndexIVF jarg1_); + public final static native void IndexIVF_sa_encode(long jarg1, IndexIVF jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexIVFStats_nq_set(long jarg1, IndexIVFStats jarg1_, long jarg2); + public final static native long IndexIVFStats_nq_get(long jarg1, IndexIVFStats jarg1_); + public final static native void IndexIVFStats_nlist_set(long jarg1, IndexIVFStats jarg1_, long jarg2); + public final static native long IndexIVFStats_nlist_get(long jarg1, IndexIVFStats jarg1_); + public final static native void IndexIVFStats_ndis_set(long jarg1, IndexIVFStats jarg1_, long jarg2); + public final static native long IndexIVFStats_ndis_get(long jarg1, IndexIVFStats jarg1_); + public final static native void IndexIVFStats_nheap_updates_set(long jarg1, IndexIVFStats jarg1_, long jarg2); + public final static native long IndexIVFStats_nheap_updates_get(long jarg1, IndexIVFStats jarg1_); + public final static native void IndexIVFStats_quantization_time_set(long jarg1, IndexIVFStats jarg1_, double jarg2); + public final static native double IndexIVFStats_quantization_time_get(long jarg1, IndexIVFStats jarg1_); + public final static native void IndexIVFStats_search_time_set(long jarg1, IndexIVFStats jarg1_, double jarg2); + public final static native double IndexIVFStats_search_time_get(long jarg1, IndexIVFStats jarg1_); + public final static native long new_IndexIVFStats(); + public final static native void IndexIVFStats_reset(long jarg1, IndexIVFStats jarg1_); + public final static native void IndexIVFStats_add(long jarg1, IndexIVFStats jarg1_, long jarg2, IndexIVFStats jarg2_); + public final static native void delete_IndexIVFStats(long jarg1); + public final static native void indexIVF_stats_set(long jarg1, IndexIVFStats jarg1_); + public final static native long indexIVF_stats_get(); + public final static native short[] hamdis_tab_ham_bytes_get(); + public final static native void HammingComputer4_a0_set(long jarg1, HammingComputer4 jarg1_, long jarg2); + public final static native long HammingComputer4_a0_get(long jarg1, HammingComputer4 jarg1_); + public final static native long new_HammingComputer4__SWIG_0(); + public final static native long new_HammingComputer4__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputer4_set(long jarg1, HammingComputer4 jarg1_, long jarg2, int jarg3); + public final static native int HammingComputer4_hamming(long jarg1, HammingComputer4 jarg1_, long jarg2); + public final static native void delete_HammingComputer4(long jarg1); + public final static native void HammingComputer8_a0_set(long jarg1, HammingComputer8 jarg1_, long jarg2); + public final static native long HammingComputer8_a0_get(long jarg1, HammingComputer8 jarg1_); + public final static native long new_HammingComputer8__SWIG_0(); + public final static native long new_HammingComputer8__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputer8_set(long jarg1, HammingComputer8 jarg1_, long jarg2, int jarg3); + public final static native int HammingComputer8_hamming(long jarg1, HammingComputer8 jarg1_, long jarg2); + public final static native void delete_HammingComputer8(long jarg1); + public final static native void HammingComputer16_a0_set(long jarg1, HammingComputer16 jarg1_, long jarg2); + public final static native long HammingComputer16_a0_get(long jarg1, HammingComputer16 jarg1_); + public final static native void HammingComputer16_a1_set(long jarg1, HammingComputer16 jarg1_, long jarg2); + public final static native long HammingComputer16_a1_get(long jarg1, HammingComputer16 jarg1_); + public final static native long new_HammingComputer16__SWIG_0(); + public final static native long new_HammingComputer16__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputer16_set(long jarg1, HammingComputer16 jarg1_, long jarg2, int jarg3); + public final static native int HammingComputer16_hamming(long jarg1, HammingComputer16 jarg1_, long jarg2); + public final static native void delete_HammingComputer16(long jarg1); + public final static native void HammingComputer20_a0_set(long jarg1, HammingComputer20 jarg1_, long jarg2); + public final static native long HammingComputer20_a0_get(long jarg1, HammingComputer20 jarg1_); + public final static native void HammingComputer20_a1_set(long jarg1, HammingComputer20 jarg1_, long jarg2); + public final static native long HammingComputer20_a1_get(long jarg1, HammingComputer20 jarg1_); + public final static native void HammingComputer20_a2_set(long jarg1, HammingComputer20 jarg1_, long jarg2); + public final static native long HammingComputer20_a2_get(long jarg1, HammingComputer20 jarg1_); + public final static native long new_HammingComputer20__SWIG_0(); + public final static native long new_HammingComputer20__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputer20_set(long jarg1, HammingComputer20 jarg1_, long jarg2, int jarg3); + public final static native int HammingComputer20_hamming(long jarg1, HammingComputer20 jarg1_, long jarg2); + public final static native void delete_HammingComputer20(long jarg1); + public final static native void HammingComputer32_a0_set(long jarg1, HammingComputer32 jarg1_, long jarg2); + public final static native long HammingComputer32_a0_get(long jarg1, HammingComputer32 jarg1_); + public final static native void HammingComputer32_a1_set(long jarg1, HammingComputer32 jarg1_, long jarg2); + public final static native long HammingComputer32_a1_get(long jarg1, HammingComputer32 jarg1_); + public final static native void HammingComputer32_a2_set(long jarg1, HammingComputer32 jarg1_, long jarg2); + public final static native long HammingComputer32_a2_get(long jarg1, HammingComputer32 jarg1_); + public final static native void HammingComputer32_a3_set(long jarg1, HammingComputer32 jarg1_, long jarg2); + public final static native long HammingComputer32_a3_get(long jarg1, HammingComputer32 jarg1_); + public final static native long new_HammingComputer32__SWIG_0(); + public final static native long new_HammingComputer32__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputer32_set(long jarg1, HammingComputer32 jarg1_, long jarg2, int jarg3); + public final static native int HammingComputer32_hamming(long jarg1, HammingComputer32 jarg1_, long jarg2); + public final static native void delete_HammingComputer32(long jarg1); + public final static native void HammingComputer64_a0_set(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native long HammingComputer64_a0_get(long jarg1, HammingComputer64 jarg1_); + public final static native void HammingComputer64_a1_set(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native long HammingComputer64_a1_get(long jarg1, HammingComputer64 jarg1_); + public final static native void HammingComputer64_a2_set(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native long HammingComputer64_a2_get(long jarg1, HammingComputer64 jarg1_); + public final static native void HammingComputer64_a3_set(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native long HammingComputer64_a3_get(long jarg1, HammingComputer64 jarg1_); + public final static native void HammingComputer64_a4_set(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native long HammingComputer64_a4_get(long jarg1, HammingComputer64 jarg1_); + public final static native void HammingComputer64_a5_set(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native long HammingComputer64_a5_get(long jarg1, HammingComputer64 jarg1_); + public final static native void HammingComputer64_a6_set(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native long HammingComputer64_a6_get(long jarg1, HammingComputer64 jarg1_); + public final static native void HammingComputer64_a7_set(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native long HammingComputer64_a7_get(long jarg1, HammingComputer64 jarg1_); + public final static native long new_HammingComputer64__SWIG_0(); + public final static native long new_HammingComputer64__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputer64_set(long jarg1, HammingComputer64 jarg1_, long jarg2, int jarg3); + public final static native int HammingComputer64_hamming(long jarg1, HammingComputer64 jarg1_, long jarg2); + public final static native void delete_HammingComputer64(long jarg1); + public final static native void HammingComputerDefault_a8_set(long jarg1, HammingComputerDefault jarg1_, long jarg2); + public final static native long HammingComputerDefault_a8_get(long jarg1, HammingComputerDefault jarg1_); + public final static native void HammingComputerDefault_quotient8_set(long jarg1, HammingComputerDefault jarg1_, int jarg2); + public final static native int HammingComputerDefault_quotient8_get(long jarg1, HammingComputerDefault jarg1_); + public final static native void HammingComputerDefault_remainder8_set(long jarg1, HammingComputerDefault jarg1_, int jarg2); + public final static native int HammingComputerDefault_remainder8_get(long jarg1, HammingComputerDefault jarg1_); + public final static native long new_HammingComputerDefault__SWIG_0(); + public final static native long new_HammingComputerDefault__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputerDefault_set(long jarg1, HammingComputerDefault jarg1_, long jarg2, int jarg3); + public final static native int HammingComputerDefault_hamming(long jarg1, HammingComputerDefault jarg1_, long jarg2); + public final static native void delete_HammingComputerDefault(long jarg1); + public final static native void HammingComputerM8_a_set(long jarg1, HammingComputerM8 jarg1_, long jarg2); + public final static native long HammingComputerM8_a_get(long jarg1, HammingComputerM8 jarg1_); + public final static native void HammingComputerM8_n_set(long jarg1, HammingComputerM8 jarg1_, int jarg2); + public final static native int HammingComputerM8_n_get(long jarg1, HammingComputerM8 jarg1_); + public final static native long new_HammingComputerM8__SWIG_0(); + public final static native long new_HammingComputerM8__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputerM8_set(long jarg1, HammingComputerM8 jarg1_, long jarg2, int jarg3); + public final static native int HammingComputerM8_hamming(long jarg1, HammingComputerM8 jarg1_, long jarg2); + public final static native void delete_HammingComputerM8(long jarg1); + public final static native void HammingComputerM4_a_set(long jarg1, HammingComputerM4 jarg1_, long jarg2); + public final static native long HammingComputerM4_a_get(long jarg1, HammingComputerM4 jarg1_); + public final static native void HammingComputerM4_n_set(long jarg1, HammingComputerM4 jarg1_, int jarg2); + public final static native int HammingComputerM4_n_get(long jarg1, HammingComputerM4 jarg1_); + public final static native long new_HammingComputerM4__SWIG_0(); + public final static native long new_HammingComputerM4__SWIG_1(long jarg1, int jarg2); + public final static native void HammingComputerM4_set(long jarg1, HammingComputerM4 jarg1_, long jarg2, int jarg3); + public final static native int HammingComputerM4_hamming(long jarg1, HammingComputerM4 jarg1_, long jarg2); + public final static native void delete_HammingComputerM4(long jarg1); + public final static native int generalized_hamming_64(long jarg1); + public final static native void GenHammingComputer8_a0_set(long jarg1, GenHammingComputer8 jarg1_, long jarg2); + public final static native long GenHammingComputer8_a0_get(long jarg1, GenHammingComputer8 jarg1_); + public final static native long new_GenHammingComputer8(long jarg1, int jarg2); + public final static native int GenHammingComputer8_hamming(long jarg1, GenHammingComputer8 jarg1_, long jarg2); + public final static native void delete_GenHammingComputer8(long jarg1); + public final static native void GenHammingComputer16_a0_set(long jarg1, GenHammingComputer16 jarg1_, long jarg2); + public final static native long GenHammingComputer16_a0_get(long jarg1, GenHammingComputer16 jarg1_); + public final static native void GenHammingComputer16_a1_set(long jarg1, GenHammingComputer16 jarg1_, long jarg2); + public final static native long GenHammingComputer16_a1_get(long jarg1, GenHammingComputer16 jarg1_); + public final static native long new_GenHammingComputer16(long jarg1, int jarg2); + public final static native int GenHammingComputer16_hamming(long jarg1, GenHammingComputer16 jarg1_, long jarg2); + public final static native void delete_GenHammingComputer16(long jarg1); + public final static native void GenHammingComputer32_a0_set(long jarg1, GenHammingComputer32 jarg1_, long jarg2); + public final static native long GenHammingComputer32_a0_get(long jarg1, GenHammingComputer32 jarg1_); + public final static native void GenHammingComputer32_a1_set(long jarg1, GenHammingComputer32 jarg1_, long jarg2); + public final static native long GenHammingComputer32_a1_get(long jarg1, GenHammingComputer32 jarg1_); + public final static native void GenHammingComputer32_a2_set(long jarg1, GenHammingComputer32 jarg1_, long jarg2); + public final static native long GenHammingComputer32_a2_get(long jarg1, GenHammingComputer32 jarg1_); + public final static native void GenHammingComputer32_a3_set(long jarg1, GenHammingComputer32 jarg1_, long jarg2); + public final static native long GenHammingComputer32_a3_get(long jarg1, GenHammingComputer32 jarg1_); + public final static native long new_GenHammingComputer32(long jarg1, int jarg2); + public final static native int GenHammingComputer32_hamming(long jarg1, GenHammingComputer32 jarg1_, long jarg2); + public final static native void delete_GenHammingComputer32(long jarg1); + public final static native void GenHammingComputerM8_a_set(long jarg1, GenHammingComputerM8 jarg1_, long jarg2); + public final static native long GenHammingComputerM8_a_get(long jarg1, GenHammingComputerM8 jarg1_); + public final static native void GenHammingComputerM8_n_set(long jarg1, GenHammingComputerM8 jarg1_, int jarg2); + public final static native int GenHammingComputerM8_n_get(long jarg1, GenHammingComputerM8 jarg1_); + public final static native long new_GenHammingComputerM8(long jarg1, int jarg2); + public final static native int GenHammingComputerM8_hamming(long jarg1, GenHammingComputerM8 jarg1_, long jarg2); + public final static native void delete_GenHammingComputerM8(long jarg1); + public final static native void generalized_hammings_knn_hc__SWIG_0(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5, int jarg6); + public final static native void generalized_hammings_knn_hc__SWIG_1(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void check_compatible_for_merge(long jarg1, Index jarg1_, long jarg2, Index jarg2_); + public final static native long extract_index_ivf__SWIG_0(long jarg1, Index jarg1_); + public final static native long try_extract_index_ivf__SWIG_0(long jarg1, Index jarg1_); + public final static native void merge_into(long jarg1, Index jarg1_, long jarg2, Index jarg2_, boolean jarg3); + public final static native void search_centroid(long jarg1, Index jarg1_, long jarg2, int jarg3, long jarg4, LongVector jarg4_); + public final static native void search_and_return_centroids(long jarg1, Index jarg1_, long jarg2, long jarg3, int jarg4, long jarg5, long jarg6, LongVector jarg6_, long jarg7, LongVector jarg7_, long jarg8, LongVector jarg8_); + public final static native void SlidingIndexWindow_index_set(long jarg1, SlidingIndexWindow jarg1_, long jarg2, Index jarg2_); + public final static native long SlidingIndexWindow_index_get(long jarg1, SlidingIndexWindow jarg1_); + public final static native void SlidingIndexWindow_ils_set(long jarg1, SlidingIndexWindow jarg1_, long jarg2, ArrayInvertedLists jarg2_); + public final static native long SlidingIndexWindow_ils_get(long jarg1, SlidingIndexWindow jarg1_); + public final static native void SlidingIndexWindow_n_slice_set(long jarg1, SlidingIndexWindow jarg1_, int jarg2); + public final static native int SlidingIndexWindow_n_slice_get(long jarg1, SlidingIndexWindow jarg1_); + public final static native void SlidingIndexWindow_nlist_set(long jarg1, SlidingIndexWindow jarg1_, long jarg2); + public final static native long SlidingIndexWindow_nlist_get(long jarg1, SlidingIndexWindow jarg1_); + public final static native void SlidingIndexWindow_sizes_set(long jarg1, SlidingIndexWindow jarg1_, long jarg2); + public final static native long SlidingIndexWindow_sizes_get(long jarg1, SlidingIndexWindow jarg1_); + public final static native long new_SlidingIndexWindow(long jarg1, Index jarg1_); + public final static native void SlidingIndexWindow_step(long jarg1, SlidingIndexWindow jarg1_, long jarg2, Index jarg2_, boolean jarg3); + public final static native void delete_SlidingIndexWindow(long jarg1); + public final static native long get_invlist_range(long jarg1, Index jarg1_, int jarg2, int jarg3); + public final static native void set_invlist_range(long jarg1, Index jarg1_, int jarg2, int jarg3, long jarg4, ArrayInvertedLists jarg4_); + public final static native void search_with_parameters__SWIG_0(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_, long jarg7, IVFSearchParameters jarg7_, long jarg8, long jarg9); + public final static native void search_with_parameters__SWIG_1(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_, long jarg7, IVFSearchParameters jarg7_, long jarg8); + public final static native void search_with_parameters__SWIG_2(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_, long jarg7, IVFSearchParameters jarg7_); + public final static native void range_search_with_parameters__SWIG_0(long jarg1, Index jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, RangeSearchResult jarg5_, long jarg6, IVFSearchParameters jarg6_, long jarg7, long jarg8); + public final static native void range_search_with_parameters__SWIG_1(long jarg1, Index jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, RangeSearchResult jarg5_, long jarg6, IVFSearchParameters jarg6_, long jarg7); + public final static native void range_search_with_parameters__SWIG_2(long jarg1, Index jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, RangeSearchResult jarg5_, long jarg6, IVFSearchParameters jarg6_); + public final static native void IndexScalarQuantizer_sq_set(long jarg1, IndexScalarQuantizer jarg1_, long jarg2); + public final static native long IndexScalarQuantizer_sq_get(long jarg1, IndexScalarQuantizer jarg1_); + public final static native long new_IndexScalarQuantizer__SWIG_0(int jarg1, long jarg2, int jarg3); + public final static native long new_IndexScalarQuantizer__SWIG_1(int jarg1, long jarg2); + public final static native long new_IndexScalarQuantizer__SWIG_2(); + public final static native void IndexScalarQuantizer_train(long jarg1, IndexScalarQuantizer jarg1_, long jarg2, long jarg3); + public final static native void IndexScalarQuantizer_search(long jarg1, IndexScalarQuantizer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native long IndexScalarQuantizer_get_distance_computer(long jarg1, IndexScalarQuantizer jarg1_); + public final static native void IndexScalarQuantizer_sa_encode(long jarg1, IndexScalarQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexScalarQuantizer_sa_decode(long jarg1, IndexScalarQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_IndexScalarQuantizer(long jarg1); + public final static native void IndexIVFScalarQuantizer_sq_set(long jarg1, IndexIVFScalarQuantizer jarg1_, long jarg2); + public final static native long IndexIVFScalarQuantizer_sq_get(long jarg1, IndexIVFScalarQuantizer jarg1_); + public final static native void IndexIVFScalarQuantizer_by_residual_set(long jarg1, IndexIVFScalarQuantizer jarg1_, boolean jarg2); + public final static native boolean IndexIVFScalarQuantizer_by_residual_get(long jarg1, IndexIVFScalarQuantizer jarg1_); + public final static native long new_IndexIVFScalarQuantizer__SWIG_0(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, int jarg5, boolean jarg6); + public final static native long new_IndexIVFScalarQuantizer__SWIG_1(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, int jarg5); + public final static native long new_IndexIVFScalarQuantizer__SWIG_2(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long new_IndexIVFScalarQuantizer__SWIG_3(); + public final static native void IndexIVFScalarQuantizer_train_residual(long jarg1, IndexIVFScalarQuantizer jarg1_, long jarg2, long jarg3); + public final static native void IndexIVFScalarQuantizer_encode_vectors__SWIG_0(long jarg1, IndexIVFScalarQuantizer jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, boolean jarg6); + public final static native void IndexIVFScalarQuantizer_encode_vectors__SWIG_1(long jarg1, IndexIVFScalarQuantizer jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void IndexIVFScalarQuantizer_add_core(long jarg1, IndexIVFScalarQuantizer jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, LongVector jarg5_); + public final static native long IndexIVFScalarQuantizer_get_InvertedListScanner(long jarg1, IndexIVFScalarQuantizer jarg1_, boolean jarg2); + public final static native void IndexIVFScalarQuantizer_reconstruct_from_offset(long jarg1, IndexIVFScalarQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexIVFScalarQuantizer_sa_decode(long jarg1, IndexIVFScalarQuantizer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_IndexIVFScalarQuantizer(long jarg1); + public final static native void HNSW_MinimaxHeap_n_set(long jarg1, HNSW.MinimaxHeap jarg1_, int jarg2); + public final static native int HNSW_MinimaxHeap_n_get(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native void HNSW_MinimaxHeap_k_set(long jarg1, HNSW.MinimaxHeap jarg1_, int jarg2); + public final static native int HNSW_MinimaxHeap_k_get(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native void HNSW_MinimaxHeap_nvalid_set(long jarg1, HNSW.MinimaxHeap jarg1_, int jarg2); + public final static native int HNSW_MinimaxHeap_nvalid_get(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native void HNSW_MinimaxHeap_ids_set(long jarg1, HNSW.MinimaxHeap jarg1_, long jarg2, IntVector jarg2_); + public final static native long HNSW_MinimaxHeap_ids_get(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native void HNSW_MinimaxHeap_dis_set(long jarg1, HNSW.MinimaxHeap jarg1_, long jarg2, FloatVector jarg2_); + public final static native long HNSW_MinimaxHeap_dis_get(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native long new_HNSW_MinimaxHeap(int jarg1); + public final static native void HNSW_MinimaxHeap_push(long jarg1, HNSW.MinimaxHeap jarg1_, int jarg2, float jarg3); + public final static native float HNSW_MinimaxHeap_max(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native int HNSW_MinimaxHeap_size(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native void HNSW_MinimaxHeap_clear(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native int HNSW_MinimaxHeap_pop_min__SWIG_0(long jarg1, HNSW.MinimaxHeap jarg1_, long jarg2); + public final static native int HNSW_MinimaxHeap_pop_min__SWIG_1(long jarg1, HNSW.MinimaxHeap jarg1_); + public final static native int HNSW_MinimaxHeap_count_below(long jarg1, HNSW.MinimaxHeap jarg1_, float jarg2); + public final static native void delete_HNSW_MinimaxHeap(long jarg1); + public final static native void HNSW_NodeDistCloser_d_set(long jarg1, HNSW.NodeDistCloser jarg1_, float jarg2); + public final static native float HNSW_NodeDistCloser_d_get(long jarg1, HNSW.NodeDistCloser jarg1_); + public final static native void HNSW_NodeDistCloser_id_set(long jarg1, HNSW.NodeDistCloser jarg1_, int jarg2); + public final static native int HNSW_NodeDistCloser_id_get(long jarg1, HNSW.NodeDistCloser jarg1_); + public final static native long new_HNSW_NodeDistCloser(float jarg1, int jarg2); + public final static native void delete_HNSW_NodeDistCloser(long jarg1); + public final static native void HNSW_NodeDistFarther_d_set(long jarg1, HNSW.NodeDistFarther jarg1_, float jarg2); + public final static native float HNSW_NodeDistFarther_d_get(long jarg1, HNSW.NodeDistFarther jarg1_); + public final static native void HNSW_NodeDistFarther_id_set(long jarg1, HNSW.NodeDistFarther jarg1_, int jarg2); + public final static native int HNSW_NodeDistFarther_id_get(long jarg1, HNSW.NodeDistFarther jarg1_); + public final static native long new_HNSW_NodeDistFarther(float jarg1, int jarg2); + public final static native void delete_HNSW_NodeDistFarther(long jarg1); + public final static native void HNSW_assign_probas_set(long jarg1, HNSW jarg1_, long jarg2, DoubleVector jarg2_); + public final static native long HNSW_assign_probas_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_cum_nneighbor_per_level_set(long jarg1, HNSW jarg1_, long jarg2, IntVector jarg2_); + public final static native long HNSW_cum_nneighbor_per_level_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_levels_set(long jarg1, HNSW jarg1_, long jarg2, IntVector jarg2_); + public final static native long HNSW_levels_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_offsets_set(long jarg1, HNSW jarg1_, long jarg2, Uint64Vector jarg2_); + public final static native long HNSW_offsets_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_neighbors_set(long jarg1, HNSW jarg1_, long jarg2, IntVector jarg2_); + public final static native long HNSW_neighbors_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_entry_point_set(long jarg1, HNSW jarg1_, int jarg2); + public final static native int HNSW_entry_point_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_rng_set(long jarg1, HNSW jarg1_, long jarg2); + public final static native long HNSW_rng_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_max_level_set(long jarg1, HNSW jarg1_, int jarg2); + public final static native int HNSW_max_level_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_efConstruction_set(long jarg1, HNSW jarg1_, int jarg2); + public final static native int HNSW_efConstruction_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_efSearch_set(long jarg1, HNSW jarg1_, int jarg2); + public final static native int HNSW_efSearch_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_check_relative_distance_set(long jarg1, HNSW jarg1_, boolean jarg2); + public final static native boolean HNSW_check_relative_distance_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_upper_beam_set(long jarg1, HNSW jarg1_, int jarg2); + public final static native int HNSW_upper_beam_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_search_bounded_queue_set(long jarg1, HNSW jarg1_, boolean jarg2); + public final static native boolean HNSW_search_bounded_queue_get(long jarg1, HNSW jarg1_); + public final static native void HNSW_set_default_probas(long jarg1, HNSW jarg1_, int jarg2, float jarg3); + public final static native void HNSW_set_nb_neighbors(long jarg1, HNSW jarg1_, int jarg2, int jarg3); + public final static native int HNSW_nb_neighbors(long jarg1, HNSW jarg1_, int jarg2); + public final static native int HNSW_cum_nb_neighbors(long jarg1, HNSW jarg1_, int jarg2); + public final static native void HNSW_neighbor_range(long jarg1, HNSW jarg1_, long jarg2, int jarg3, long jarg4, long jarg5); + public final static native long new_HNSW__SWIG_0(int jarg1); + public final static native long new_HNSW__SWIG_1(); + public final static native int HNSW_random_level(long jarg1, HNSW jarg1_); + public final static native void HNSW_fill_with_random_links(long jarg1, HNSW jarg1_, long jarg2); + public final static native void HNSW_add_links_starting_from(long jarg1, HNSW jarg1_, long jarg2, DistanceComputer jarg2_, int jarg3, int jarg4, float jarg5, int jarg6, long jarg7, long jarg8, VisitedTable jarg8_); + public final static native void HNSW_add_with_locks(long jarg1, HNSW jarg1_, long jarg2, DistanceComputer jarg2_, int jarg3, int jarg4, long jarg5, long jarg6, VisitedTable jarg6_); + public final static native int HNSW_search_from_candidates__SWIG_0(long jarg1, HNSW jarg1_, long jarg2, DistanceComputer jarg2_, int jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6, HNSW.MinimaxHeap jarg6_, long jarg7, VisitedTable jarg7_, long jarg8, HNSWStats jarg8_, int jarg9, int jarg10); + public final static native int HNSW_search_from_candidates__SWIG_1(long jarg1, HNSW jarg1_, long jarg2, DistanceComputer jarg2_, int jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6, HNSW.MinimaxHeap jarg6_, long jarg7, VisitedTable jarg7_, long jarg8, HNSWStats jarg8_, int jarg9); + public final static native long HNSW_search_from_candidate_unbounded(long jarg1, HNSW jarg1_, long jarg2, long jarg3, DistanceComputer jarg3_, int jarg4, long jarg5, VisitedTable jarg5_, long jarg6, HNSWStats jarg6_); + public final static native long HNSW_search(long jarg1, HNSW jarg1_, long jarg2, DistanceComputer jarg2_, int jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6, VisitedTable jarg6_); + public final static native void HNSW_reset(long jarg1, HNSW jarg1_); + public final static native void HNSW_clear_neighbor_tables(long jarg1, HNSW jarg1_, int jarg2); + public final static native void HNSW_print_neighbor_stats(long jarg1, HNSW jarg1_, int jarg2); + public final static native int HNSW_prepare_level_tab__SWIG_0(long jarg1, HNSW jarg1_, long jarg2, boolean jarg3); + public final static native int HNSW_prepare_level_tab__SWIG_1(long jarg1, HNSW jarg1_, long jarg2); + public final static native void HNSW_shrink_neighbor_list(long jarg1, DistanceComputer jarg1_, long jarg2, long jarg3, int jarg4); + public final static native void delete_HNSW(long jarg1); + public final static native void HNSWStats_n1_set(long jarg1, HNSWStats jarg1_, long jarg2); + public final static native long HNSWStats_n1_get(long jarg1, HNSWStats jarg1_); + public final static native void HNSWStats_n2_set(long jarg1, HNSWStats jarg1_, long jarg2); + public final static native long HNSWStats_n2_get(long jarg1, HNSWStats jarg1_); + public final static native void HNSWStats_n3_set(long jarg1, HNSWStats jarg1_, long jarg2); + public final static native long HNSWStats_n3_get(long jarg1, HNSWStats jarg1_); + public final static native void HNSWStats_ndis_set(long jarg1, HNSWStats jarg1_, long jarg2); + public final static native long HNSWStats_ndis_get(long jarg1, HNSWStats jarg1_); + public final static native void HNSWStats_nreorder_set(long jarg1, HNSWStats jarg1_, long jarg2); + public final static native long HNSWStats_nreorder_get(long jarg1, HNSWStats jarg1_); + public final static native long new_HNSWStats__SWIG_0(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native long new_HNSWStats__SWIG_1(long jarg1, long jarg2, long jarg3, long jarg4); + public final static native long new_HNSWStats__SWIG_2(long jarg1, long jarg2, long jarg3); + public final static native long new_HNSWStats__SWIG_3(long jarg1, long jarg2); + public final static native long new_HNSWStats__SWIG_4(long jarg1); + public final static native long new_HNSWStats__SWIG_5(); + public final static native void HNSWStats_reset(long jarg1, HNSWStats jarg1_); + public final static native void HNSWStats_combine(long jarg1, HNSWStats jarg1_, long jarg2, HNSWStats jarg2_); + public final static native void delete_HNSWStats(long jarg1); + public final static native void hnsw_stats_set(long jarg1, HNSWStats jarg1_); + public final static native long hnsw_stats_get(); + public final static native long ReconstructFromNeighbors_index_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_M_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2); + public final static native long ReconstructFromNeighbors_M_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_k_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2); + public final static native long ReconstructFromNeighbors_k_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_nsq_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2); + public final static native long ReconstructFromNeighbors_nsq_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_code_size_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2); + public final static native long ReconstructFromNeighbors_code_size_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_k_reorder_set(long jarg1, ReconstructFromNeighbors jarg1_, int jarg2); + public final static native int ReconstructFromNeighbors_k_reorder_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_codebook_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2, FloatVector jarg2_); + public final static native long ReconstructFromNeighbors_codebook_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_codes_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2, ByteVector jarg2_); + public final static native long ReconstructFromNeighbors_codes_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_ntotal_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2); + public final static native long ReconstructFromNeighbors_ntotal_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_d_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2); + public final static native long ReconstructFromNeighbors_d_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native void ReconstructFromNeighbors_dsub_set(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2); + public final static native long ReconstructFromNeighbors_dsub_get(long jarg1, ReconstructFromNeighbors jarg1_); + public final static native long new_ReconstructFromNeighbors__SWIG_0(long jarg1, IndexHNSW jarg1_, long jarg2, long jarg3); + public final static native long new_ReconstructFromNeighbors__SWIG_1(long jarg1, IndexHNSW jarg1_, long jarg2); + public final static native long new_ReconstructFromNeighbors__SWIG_2(long jarg1, IndexHNSW jarg1_); + public final static native void ReconstructFromNeighbors_add_codes(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2, long jarg3); + public final static native long ReconstructFromNeighbors_compute_distances(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2, long jarg3, LongVector jarg3_, long jarg4, long jarg5); + public final static native void ReconstructFromNeighbors_estimate_code(long jarg1, ReconstructFromNeighbors jarg1_, long jarg2, int jarg3, long jarg4); + public final static native void ReconstructFromNeighbors_reconstruct(long jarg1, ReconstructFromNeighbors jarg1_, int jarg2, long jarg3, long jarg4); + public final static native void ReconstructFromNeighbors_reconstruct_n(long jarg1, ReconstructFromNeighbors jarg1_, int jarg2, int jarg3, long jarg4); + public final static native void ReconstructFromNeighbors_get_neighbor_table(long jarg1, ReconstructFromNeighbors jarg1_, int jarg2, long jarg3); + public final static native void delete_ReconstructFromNeighbors(long jarg1); + public final static native void IndexHNSW_hnsw_set(long jarg1, IndexHNSW jarg1_, long jarg2, HNSW jarg2_); + public final static native long IndexHNSW_hnsw_get(long jarg1, IndexHNSW jarg1_); + public final static native void IndexHNSW_own_fields_set(long jarg1, IndexHNSW jarg1_, boolean jarg2); + public final static native boolean IndexHNSW_own_fields_get(long jarg1, IndexHNSW jarg1_); + public final static native void IndexHNSW_storage_set(long jarg1, IndexHNSW jarg1_, long jarg2, Index jarg2_); + public final static native long IndexHNSW_storage_get(long jarg1, IndexHNSW jarg1_); + public final static native void IndexHNSW_reconstruct_from_neighbors_set(long jarg1, IndexHNSW jarg1_, long jarg2, ReconstructFromNeighbors jarg2_); + public final static native long IndexHNSW_reconstruct_from_neighbors_get(long jarg1, IndexHNSW jarg1_); + public final static native long new_IndexHNSW__SWIG_0(int jarg1, int jarg2, int jarg3); + public final static native long new_IndexHNSW__SWIG_1(int jarg1, int jarg2); + public final static native long new_IndexHNSW__SWIG_2(int jarg1); + public final static native long new_IndexHNSW__SWIG_3(); + public final static native long new_IndexHNSW__SWIG_4(long jarg1, Index jarg1_, int jarg2); + public final static native long new_IndexHNSW__SWIG_5(long jarg1, Index jarg1_); + public final static native void delete_IndexHNSW(long jarg1); + public final static native void IndexHNSW_add(long jarg1, IndexHNSW jarg1_, long jarg2, long jarg3); + public final static native void IndexHNSW_train(long jarg1, IndexHNSW jarg1_, long jarg2, long jarg3); + public final static native void IndexHNSW_search(long jarg1, IndexHNSW jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexHNSW_reconstruct(long jarg1, IndexHNSW jarg1_, long jarg2, long jarg3); + public final static native void IndexHNSW_reset(long jarg1, IndexHNSW jarg1_); + public final static native void IndexHNSW_shrink_level_0_neighbors(long jarg1, IndexHNSW jarg1_, int jarg2); + public final static native void IndexHNSW_search_level_0__SWIG_0(long jarg1, IndexHNSW jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, long jarg7, long jarg8, LongVector jarg8_, int jarg9, int jarg10); + public final static native void IndexHNSW_search_level_0__SWIG_1(long jarg1, IndexHNSW jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, long jarg7, long jarg8, LongVector jarg8_, int jarg9); + public final static native void IndexHNSW_search_level_0__SWIG_2(long jarg1, IndexHNSW jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, long jarg7, long jarg8, LongVector jarg8_); + public final static native void IndexHNSW_init_level_0_from_knngraph(long jarg1, IndexHNSW jarg1_, int jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexHNSW_init_level_0_from_entry_points(long jarg1, IndexHNSW jarg1_, int jarg2, long jarg3, long jarg4); + public final static native void IndexHNSW_reorder_links(long jarg1, IndexHNSW jarg1_); + public final static native void IndexHNSW_link_singletons(long jarg1, IndexHNSW jarg1_); + public final static native long new_IndexHNSWFlat__SWIG_0(); + public final static native long new_IndexHNSWFlat__SWIG_1(int jarg1, int jarg2, int jarg3); + public final static native long new_IndexHNSWFlat__SWIG_2(int jarg1, int jarg2); + public final static native void delete_IndexHNSWFlat(long jarg1); + public final static native long new_IndexHNSWPQ__SWIG_0(); + public final static native long new_IndexHNSWPQ__SWIG_1(int jarg1, int jarg2, int jarg3); + public final static native void IndexHNSWPQ_train(long jarg1, IndexHNSWPQ jarg1_, long jarg2, long jarg3); + public final static native void delete_IndexHNSWPQ(long jarg1); + public final static native long new_IndexHNSWSQ__SWIG_0(); + public final static native long new_IndexHNSWSQ__SWIG_1(int jarg1, long jarg2, int jarg3, int jarg4); + public final static native long new_IndexHNSWSQ__SWIG_2(int jarg1, long jarg2, int jarg3); + public final static native void delete_IndexHNSWSQ(long jarg1); + public final static native long new_IndexHNSW2Level__SWIG_0(); + public final static native long new_IndexHNSW2Level__SWIG_1(long jarg1, Index jarg1_, long jarg2, int jarg3, int jarg4); + public final static native void IndexHNSW2Level_flip_to_ivf(long jarg1, IndexHNSW2Level jarg1_); + public final static native void IndexHNSW2Level_search(long jarg1, IndexHNSW2Level jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void delete_IndexHNSW2Level(long jarg1); + public final static native long new_IndexIVFFlat__SWIG_0(long jarg1, Index jarg1_, long jarg2, long jarg3, int jarg4); + public final static native long new_IndexIVFFlat__SWIG_1(long jarg1, Index jarg1_, long jarg2, long jarg3); + public final static native void IndexIVFFlat_add_core(long jarg1, IndexIVFFlat jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, LongVector jarg5_); + public final static native void IndexIVFFlat_encode_vectors__SWIG_0(long jarg1, IndexIVFFlat jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, boolean jarg6); + public final static native void IndexIVFFlat_encode_vectors__SWIG_1(long jarg1, IndexIVFFlat jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native long IndexIVFFlat_get_InvertedListScanner(long jarg1, IndexIVFFlat jarg1_, boolean jarg2); + public final static native void IndexIVFFlat_reconstruct_from_offset(long jarg1, IndexIVFFlat jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexIVFFlat_sa_decode(long jarg1, IndexIVFFlat jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long new_IndexIVFFlat__SWIG_2(); + public final static native void delete_IndexIVFFlat(long jarg1); + public final static native void IndexIVFFlatDedup_instances_set(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2); + public final static native long IndexIVFFlatDedup_instances_get(long jarg1, IndexIVFFlatDedup jarg1_); + public final static native long new_IndexIVFFlatDedup__SWIG_0(long jarg1, Index jarg1_, long jarg2, long jarg3, int jarg4); + public final static native long new_IndexIVFFlatDedup__SWIG_1(long jarg1, Index jarg1_, long jarg2, long jarg3); + public final static native void IndexIVFFlatDedup_train(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2, long jarg3); + public final static native void IndexIVFFlatDedup_add_with_ids(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexIVFFlatDedup_search_preassigned__SWIG_0(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, long jarg8, LongVector jarg8_, boolean jarg9, long jarg10, IVFSearchParameters jarg10_, long jarg11, IndexIVFStats jarg11_); + public final static native void IndexIVFFlatDedup_search_preassigned__SWIG_1(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, long jarg8, LongVector jarg8_, boolean jarg9, long jarg10, IVFSearchParameters jarg10_); + public final static native void IndexIVFFlatDedup_search_preassigned__SWIG_2(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, long jarg8, LongVector jarg8_, boolean jarg9); + public final static native long IndexIVFFlatDedup_remove_ids(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2, IDSelector jarg2_); + public final static native void IndexIVFFlatDedup_range_search(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, RangeSearchResult jarg5_); + public final static native void IndexIVFFlatDedup_update_vectors(long jarg1, IndexIVFFlatDedup jarg1_, int jarg2, long jarg3, LongVector jarg3_, long jarg4); + public final static native void IndexIVFFlatDedup_reconstruct_from_offset(long jarg1, IndexIVFFlatDedup jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long new_IndexIVFFlatDedup__SWIG_2(); + public final static native void delete_IndexIVFFlatDedup(long jarg1); + public final static native void OnDiskOneList_size_set(long jarg1, OnDiskOneList jarg1_, long jarg2); + public final static native long OnDiskOneList_size_get(long jarg1, OnDiskOneList jarg1_); + public final static native void OnDiskOneList_capacity_set(long jarg1, OnDiskOneList jarg1_, long jarg2); + public final static native long OnDiskOneList_capacity_get(long jarg1, OnDiskOneList jarg1_); + public final static native void OnDiskOneList_offset_set(long jarg1, OnDiskOneList jarg1_, long jarg2); + public final static native long OnDiskOneList_offset_get(long jarg1, OnDiskOneList jarg1_); + public final static native long new_OnDiskOneList(); + public final static native void delete_OnDiskOneList(long jarg1); + public final static native void OnDiskInvertedLists_lists_set(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_lists_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_Slot_offset_set(long jarg1, OnDiskInvertedLists.Slot jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_Slot_offset_get(long jarg1, OnDiskInvertedLists.Slot jarg1_); + public final static native void OnDiskInvertedLists_Slot_capacity_set(long jarg1, OnDiskInvertedLists.Slot jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_Slot_capacity_get(long jarg1, OnDiskInvertedLists.Slot jarg1_); + public final static native long new_OnDiskInvertedLists_Slot__SWIG_0(long jarg1, long jarg2); + public final static native long new_OnDiskInvertedLists_Slot__SWIG_1(); + public final static native void delete_OnDiskInvertedLists_Slot(long jarg1); + public final static native void OnDiskInvertedLists_slots_set(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_slots_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_filename_set(long jarg1, OnDiskInvertedLists jarg1_, String jarg2); + public final static native String OnDiskInvertedLists_filename_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_totsize_set(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_totsize_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_ptr_set(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_ptr_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_read_only_set(long jarg1, OnDiskInvertedLists jarg1_, boolean jarg2); + public final static native boolean OnDiskInvertedLists_read_only_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native long new_OnDiskInvertedLists__SWIG_0(long jarg1, long jarg2, String jarg3); + public final static native long OnDiskInvertedLists_list_size(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_get_codes(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_get_ids(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_add_entries(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void OnDiskInvertedLists_update_entries(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6); + public final static native void OnDiskInvertedLists_resize(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, long jarg3); + public final static native long OnDiskInvertedLists_merge_from__SWIG_0(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, int jarg3, boolean jarg4); + public final static native long OnDiskInvertedLists_merge_from__SWIG_1(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, int jarg3); + public final static native long OnDiskInvertedLists_merge_from_1__SWIG_0(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, InvertedLists jarg2_, boolean jarg3); + public final static native long OnDiskInvertedLists_merge_from_1__SWIG_1(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, InvertedLists jarg2_); + public final static native void OnDiskInvertedLists_crop_invlists(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void OnDiskInvertedLists_prefetch_lists(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, LongVector jarg2_, int jarg3); + public final static native void delete_OnDiskInvertedLists(long jarg1); + public final static native void OnDiskInvertedLists_locks_set(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_locks_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_pf_set(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long OnDiskInvertedLists_pf_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_prefetch_nthread_set(long jarg1, OnDiskInvertedLists jarg1_, int jarg2); + public final static native int OnDiskInvertedLists_prefetch_nthread_get(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_do_mmap(long jarg1, OnDiskInvertedLists jarg1_); + public final static native void OnDiskInvertedLists_update_totsize(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native void OnDiskInvertedLists_resize_locked(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, long jarg3); + public final static native long OnDiskInvertedLists_allocate_slot(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native void OnDiskInvertedLists_free_slot(long jarg1, OnDiskInvertedLists jarg1_, long jarg2, long jarg3); + public final static native void OnDiskInvertedLists_set_all_lists_sizes(long jarg1, OnDiskInvertedLists jarg1_, long jarg2); + public final static native long new_OnDiskInvertedLists__SWIG_1(); + public final static native long new_OnDiskInvertedListsIOHook(); + public final static native void OnDiskInvertedListsIOHook_write(long jarg1, OnDiskInvertedListsIOHook jarg1_, long jarg2, InvertedLists jarg2_, long jarg3); + public final static native long OnDiskInvertedListsIOHook_read(long jarg1, OnDiskInvertedListsIOHook jarg1_, long jarg2, int jarg3); + public final static native long OnDiskInvertedListsIOHook_read_ArrayInvertedLists(long jarg1, OnDiskInvertedListsIOHook jarg1_, long jarg2, int jarg3, long jarg4, long jarg5, long jarg6, Uint64Vector jarg6_); + public final static native void delete_OnDiskInvertedListsIOHook(long jarg1); + public final static native void IVFPQSearchParameters_scan_table_threshold_set(long jarg1, IVFPQSearchParameters jarg1_, long jarg2); + public final static native long IVFPQSearchParameters_scan_table_threshold_get(long jarg1, IVFPQSearchParameters jarg1_); + public final static native void IVFPQSearchParameters_polysemous_ht_set(long jarg1, IVFPQSearchParameters jarg1_, int jarg2); + public final static native int IVFPQSearchParameters_polysemous_ht_get(long jarg1, IVFPQSearchParameters jarg1_); + public final static native long new_IVFPQSearchParameters(); + public final static native void delete_IVFPQSearchParameters(long jarg1); + public final static native void precomputed_table_max_bytes_set(long jarg1); + public final static native long precomputed_table_max_bytes_get(); + public final static native void IndexIVFPQ_by_residual_set(long jarg1, IndexIVFPQ jarg1_, boolean jarg2); + public final static native boolean IndexIVFPQ_by_residual_get(long jarg1, IndexIVFPQ jarg1_); + public final static native void IndexIVFPQ_pq_set(long jarg1, IndexIVFPQ jarg1_, long jarg2, ProductQuantizer jarg2_); + public final static native long IndexIVFPQ_pq_get(long jarg1, IndexIVFPQ jarg1_); + public final static native void IndexIVFPQ_do_polysemous_training_set(long jarg1, IndexIVFPQ jarg1_, boolean jarg2); + public final static native boolean IndexIVFPQ_do_polysemous_training_get(long jarg1, IndexIVFPQ jarg1_); + public final static native void IndexIVFPQ_polysemous_training_set(long jarg1, IndexIVFPQ jarg1_, long jarg2, PolysemousTraining jarg2_); + public final static native long IndexIVFPQ_polysemous_training_get(long jarg1, IndexIVFPQ jarg1_); + public final static native void IndexIVFPQ_scan_table_threshold_set(long jarg1, IndexIVFPQ jarg1_, long jarg2); + public final static native long IndexIVFPQ_scan_table_threshold_get(long jarg1, IndexIVFPQ jarg1_); + public final static native void IndexIVFPQ_polysemous_ht_set(long jarg1, IndexIVFPQ jarg1_, int jarg2); + public final static native int IndexIVFPQ_polysemous_ht_get(long jarg1, IndexIVFPQ jarg1_); + public final static native void IndexIVFPQ_use_precomputed_table_set(long jarg1, IndexIVFPQ jarg1_, int jarg2); + public final static native int IndexIVFPQ_use_precomputed_table_get(long jarg1, IndexIVFPQ jarg1_); + public final static native void IndexIVFPQ_precomputed_table_set(long jarg1, IndexIVFPQ jarg1_, long jarg2); + public final static native long IndexIVFPQ_precomputed_table_get(long jarg1, IndexIVFPQ jarg1_); + public final static native long new_IndexIVFPQ__SWIG_0(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, int jarg6); + public final static native long new_IndexIVFPQ__SWIG_1(long jarg1, Index jarg1_, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void IndexIVFPQ_encode_vectors__SWIG_0(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, boolean jarg6); + public final static native void IndexIVFPQ_encode_vectors__SWIG_1(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void IndexIVFPQ_sa_decode(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexIVFPQ_add_core(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, LongVector jarg5_); + public final static native void IndexIVFPQ_add_core_o__SWIG_0(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexIVFPQ_add_core_o__SWIG_1(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void IndexIVFPQ_train_residual(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3); + public final static native void IndexIVFPQ_train_residual_o(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexIVFPQ_reconstruct_from_offset(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long IndexIVFPQ_find_duplicates(long jarg1, IndexIVFPQ jarg1_, long jarg2, LongVector jarg2_, long jarg3); + public final static native void IndexIVFPQ_encode(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexIVFPQ_encode_multiple__SWIG_0(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, LongVector jarg3_, long jarg4, long jarg5, boolean jarg6); + public final static native void IndexIVFPQ_encode_multiple__SWIG_1(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, LongVector jarg3_, long jarg4, long jarg5); + public final static native void IndexIVFPQ_decode_multiple(long jarg1, IndexIVFPQ jarg1_, long jarg2, long jarg3, LongVector jarg3_, long jarg4, long jarg5); + public final static native long IndexIVFPQ_get_InvertedListScanner(long jarg1, IndexIVFPQ jarg1_, boolean jarg2); + public final static native void IndexIVFPQ_precompute_table(long jarg1, IndexIVFPQ jarg1_); + public final static native long new_IndexIVFPQ__SWIG_2(); + public final static native void delete_IndexIVFPQ(long jarg1); + public final static native void initialize_IVFPQ_precomputed_table(long jarg1, long jarg2, Index jarg2_, long jarg3, ProductQuantizer jarg3_, long jarg4, boolean jarg5); + public final static native void IndexIVFPQStats_nrefine_set(long jarg1, IndexIVFPQStats jarg1_, long jarg2); + public final static native long IndexIVFPQStats_nrefine_get(long jarg1, IndexIVFPQStats jarg1_); + public final static native void IndexIVFPQStats_n_hamming_pass_set(long jarg1, IndexIVFPQStats jarg1_, long jarg2); + public final static native long IndexIVFPQStats_n_hamming_pass_get(long jarg1, IndexIVFPQStats jarg1_); + public final static native void IndexIVFPQStats_search_cycles_set(long jarg1, IndexIVFPQStats jarg1_, long jarg2); + public final static native long IndexIVFPQStats_search_cycles_get(long jarg1, IndexIVFPQStats jarg1_); + public final static native void IndexIVFPQStats_refine_cycles_set(long jarg1, IndexIVFPQStats jarg1_, long jarg2); + public final static native long IndexIVFPQStats_refine_cycles_get(long jarg1, IndexIVFPQStats jarg1_); + public final static native long new_IndexIVFPQStats(); + public final static native void IndexIVFPQStats_reset(long jarg1, IndexIVFPQStats jarg1_); + public final static native void delete_IndexIVFPQStats(long jarg1); + public final static native void indexIVFPQ_stats_set(long jarg1, IndexIVFPQStats jarg1_); + public final static native long indexIVFPQ_stats_get(); + public final static native void IndexBinary_d_set(long jarg1, IndexBinary jarg1_, int jarg2); + public final static native int IndexBinary_d_get(long jarg1, IndexBinary jarg1_); + public final static native void IndexBinary_code_size_set(long jarg1, IndexBinary jarg1_, int jarg2); + public final static native int IndexBinary_code_size_get(long jarg1, IndexBinary jarg1_); + public final static native void IndexBinary_ntotal_set(long jarg1, IndexBinary jarg1_, long jarg2); + public final static native long IndexBinary_ntotal_get(long jarg1, IndexBinary jarg1_); + public final static native void IndexBinary_verbose_set(long jarg1, IndexBinary jarg1_, boolean jarg2); + public final static native boolean IndexBinary_verbose_get(long jarg1, IndexBinary jarg1_); + public final static native void IndexBinary_is_trained_set(long jarg1, IndexBinary jarg1_, boolean jarg2); + public final static native boolean IndexBinary_is_trained_get(long jarg1, IndexBinary jarg1_); + public final static native void IndexBinary_metric_type_set(long jarg1, IndexBinary jarg1_, int jarg2); + public final static native int IndexBinary_metric_type_get(long jarg1, IndexBinary jarg1_); + public final static native void delete_IndexBinary(long jarg1); + public final static native void IndexBinary_train(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3); + public final static native void IndexBinary_add(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3); + public final static native void IndexBinary_add_with_ids(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexBinary_search(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexBinary_range_search(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3, int jarg4, long jarg5, RangeSearchResult jarg5_); + public final static native void IndexBinary_assign__SWIG_0(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void IndexBinary_assign__SWIG_1(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexBinary_reset(long jarg1, IndexBinary jarg1_); + public final static native long IndexBinary_remove_ids(long jarg1, IndexBinary jarg1_, long jarg2, IDSelector jarg2_); + public final static native void IndexBinary_reconstruct(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3); + public final static native void IndexBinary_reconstruct_n(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexBinary_search_and_reconstruct(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_, long jarg7); + public final static native void IndexBinary_display(long jarg1, IndexBinary jarg1_); + public final static native void Index2Layer_q1_set(long jarg1, Index2Layer jarg1_, long jarg2, Level1Quantizer jarg2_); + public final static native long Index2Layer_q1_get(long jarg1, Index2Layer jarg1_); + public final static native void Index2Layer_pq_set(long jarg1, Index2Layer jarg1_, long jarg2, ProductQuantizer jarg2_); + public final static native long Index2Layer_pq_get(long jarg1, Index2Layer jarg1_); + public final static native void Index2Layer_code_size_1_set(long jarg1, Index2Layer jarg1_, long jarg2); + public final static native long Index2Layer_code_size_1_get(long jarg1, Index2Layer jarg1_); + public final static native void Index2Layer_code_size_2_set(long jarg1, Index2Layer jarg1_, long jarg2); + public final static native long Index2Layer_code_size_2_get(long jarg1, Index2Layer jarg1_); + public final static native long new_Index2Layer__SWIG_0(long jarg1, Index jarg1_, long jarg2, int jarg3, int jarg4, int jarg5); + public final static native long new_Index2Layer__SWIG_1(long jarg1, Index jarg1_, long jarg2, int jarg3, int jarg4); + public final static native long new_Index2Layer__SWIG_2(long jarg1, Index jarg1_, long jarg2, int jarg3); + public final static native long new_Index2Layer__SWIG_3(); + public final static native void delete_Index2Layer(long jarg1); + public final static native void Index2Layer_train(long jarg1, Index2Layer jarg1_, long jarg2, long jarg3); + public final static native void Index2Layer_search(long jarg1, Index2Layer jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native long Index2Layer_get_distance_computer(long jarg1, Index2Layer jarg1_); + public final static native void Index2Layer_transfer_to_IVFPQ(long jarg1, Index2Layer jarg1_, long jarg2, IndexIVFPQ jarg2_); + public final static native void Index2Layer_sa_encode(long jarg1, Index2Layer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void Index2Layer_sa_decode(long jarg1, Index2Layer jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexBinaryFlat_xb_set(long jarg1, IndexBinaryFlat jarg1_, long jarg2, ByteVector jarg2_); + public final static native long IndexBinaryFlat_xb_get(long jarg1, IndexBinaryFlat jarg1_); + public final static native void IndexBinaryFlat_use_heap_set(long jarg1, IndexBinaryFlat jarg1_, boolean jarg2); + public final static native boolean IndexBinaryFlat_use_heap_get(long jarg1, IndexBinaryFlat jarg1_); + public final static native void IndexBinaryFlat_query_batch_size_set(long jarg1, IndexBinaryFlat jarg1_, long jarg2); + public final static native long IndexBinaryFlat_query_batch_size_get(long jarg1, IndexBinaryFlat jarg1_); + public final static native long new_IndexBinaryFlat__SWIG_0(long jarg1); + public final static native void IndexBinaryFlat_add(long jarg1, IndexBinaryFlat jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryFlat_reset(long jarg1, IndexBinaryFlat jarg1_); + public final static native void IndexBinaryFlat_search(long jarg1, IndexBinaryFlat jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexBinaryFlat_range_search(long jarg1, IndexBinaryFlat jarg1_, long jarg2, long jarg3, int jarg4, long jarg5, RangeSearchResult jarg5_); + public final static native void IndexBinaryFlat_reconstruct(long jarg1, IndexBinaryFlat jarg1_, long jarg2, long jarg3); + public final static native long IndexBinaryFlat_remove_ids(long jarg1, IndexBinaryFlat jarg1_, long jarg2, IDSelector jarg2_); + public final static native long new_IndexBinaryFlat__SWIG_1(); + public final static native void delete_IndexBinaryFlat(long jarg1); + public final static native void IndexBinaryIVF_invlists_set(long jarg1, IndexBinaryIVF jarg1_, long jarg2, InvertedLists jarg2_); + public final static native long IndexBinaryIVF_invlists_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_own_invlists_set(long jarg1, IndexBinaryIVF jarg1_, boolean jarg2); + public final static native boolean IndexBinaryIVF_own_invlists_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_nprobe_set(long jarg1, IndexBinaryIVF jarg1_, long jarg2); + public final static native long IndexBinaryIVF_nprobe_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_max_codes_set(long jarg1, IndexBinaryIVF jarg1_, long jarg2); + public final static native long IndexBinaryIVF_max_codes_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_use_heap_set(long jarg1, IndexBinaryIVF jarg1_, boolean jarg2); + public final static native boolean IndexBinaryIVF_use_heap_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_direct_map_set(long jarg1, IndexBinaryIVF jarg1_, long jarg2); + public final static native long IndexBinaryIVF_direct_map_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_quantizer_set(long jarg1, IndexBinaryIVF jarg1_, long jarg2, IndexBinary jarg2_); + public final static native long IndexBinaryIVF_quantizer_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_nlist_set(long jarg1, IndexBinaryIVF jarg1_, long jarg2); + public final static native long IndexBinaryIVF_nlist_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_own_fields_set(long jarg1, IndexBinaryIVF jarg1_, boolean jarg2); + public final static native boolean IndexBinaryIVF_own_fields_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_cp_set(long jarg1, IndexBinaryIVF jarg1_, long jarg2, ClusteringParameters jarg2_); + public final static native long IndexBinaryIVF_cp_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_clustering_index_set(long jarg1, IndexBinaryIVF jarg1_, long jarg2, Index jarg2_); + public final static native long IndexBinaryIVF_clustering_index_get(long jarg1, IndexBinaryIVF jarg1_); + public final static native long new_IndexBinaryIVF__SWIG_0(long jarg1, IndexBinary jarg1_, long jarg2, long jarg3); + public final static native long new_IndexBinaryIVF__SWIG_1(); + public final static native void delete_IndexBinaryIVF(long jarg1); + public final static native void IndexBinaryIVF_reset(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_train(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryIVF_add(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryIVF_add_with_ids(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexBinaryIVF_add_core(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, LongVector jarg5_); + public final static native void IndexBinaryIVF_search_preassigned__SWIG_0(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, long jarg8, LongVector jarg8_, boolean jarg9, long jarg10, IVFSearchParameters jarg10_); + public final static native void IndexBinaryIVF_search_preassigned__SWIG_1(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, long jarg8, LongVector jarg8_, boolean jarg9); + public final static native long IndexBinaryIVF_get_InvertedListScanner__SWIG_0(long jarg1, IndexBinaryIVF jarg1_, boolean jarg2); + public final static native long IndexBinaryIVF_get_InvertedListScanner__SWIG_1(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_search(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexBinaryIVF_range_search(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, int jarg4, long jarg5, RangeSearchResult jarg5_); + public final static native void IndexBinaryIVF_range_search_preassigned(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, int jarg4, long jarg5, LongVector jarg5_, long jarg6, long jarg7, RangeSearchResult jarg7_); + public final static native void IndexBinaryIVF_reconstruct(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryIVF_reconstruct_n(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexBinaryIVF_search_and_reconstruct(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_, long jarg7); + public final static native void IndexBinaryIVF_reconstruct_from_offset(long jarg1, IndexBinaryIVF jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long IndexBinaryIVF_remove_ids(long jarg1, IndexBinaryIVF jarg1_, long jarg2, IDSelector jarg2_); + public final static native void IndexBinaryIVF_merge_from(long jarg1, IndexBinaryIVF jarg1_, long jarg2, IndexBinaryIVF jarg2_, long jarg3); + public final static native long IndexBinaryIVF_get_list_size(long jarg1, IndexBinaryIVF jarg1_, long jarg2); + public final static native void IndexBinaryIVF_make_direct_map__SWIG_0(long jarg1, IndexBinaryIVF jarg1_, boolean jarg2); + public final static native void IndexBinaryIVF_make_direct_map__SWIG_1(long jarg1, IndexBinaryIVF jarg1_); + public final static native void IndexBinaryIVF_set_direct_map_type(long jarg1, IndexBinaryIVF jarg1_, long jarg2); + public final static native void IndexBinaryIVF_replace_invlists__SWIG_0(long jarg1, IndexBinaryIVF jarg1_, long jarg2, InvertedLists jarg2_, boolean jarg3); + public final static native void IndexBinaryIVF_replace_invlists__SWIG_1(long jarg1, IndexBinaryIVF jarg1_, long jarg2, InvertedLists jarg2_); + public final static native void IndexBinaryFromFloat_index_set(long jarg1, IndexBinaryFromFloat jarg1_, long jarg2, Index jarg2_); + public final static native long IndexBinaryFromFloat_index_get(long jarg1, IndexBinaryFromFloat jarg1_); + public final static native void IndexBinaryFromFloat_own_fields_set(long jarg1, IndexBinaryFromFloat jarg1_, boolean jarg2); + public final static native boolean IndexBinaryFromFloat_own_fields_get(long jarg1, IndexBinaryFromFloat jarg1_); + public final static native long new_IndexBinaryFromFloat__SWIG_0(); + public final static native long new_IndexBinaryFromFloat__SWIG_1(long jarg1, Index jarg1_); + public final static native void delete_IndexBinaryFromFloat(long jarg1); + public final static native void IndexBinaryFromFloat_add(long jarg1, IndexBinaryFromFloat jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryFromFloat_reset(long jarg1, IndexBinaryFromFloat jarg1_); + public final static native void IndexBinaryFromFloat_search(long jarg1, IndexBinaryFromFloat jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexBinaryFromFloat_train(long jarg1, IndexBinaryFromFloat jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryHNSW_hnsw_set(long jarg1, IndexBinaryHNSW jarg1_, long jarg2, HNSW jarg2_); + public final static native long IndexBinaryHNSW_hnsw_get(long jarg1, IndexBinaryHNSW jarg1_); + public final static native void IndexBinaryHNSW_own_fields_set(long jarg1, IndexBinaryHNSW jarg1_, boolean jarg2); + public final static native boolean IndexBinaryHNSW_own_fields_get(long jarg1, IndexBinaryHNSW jarg1_); + public final static native void IndexBinaryHNSW_storage_set(long jarg1, IndexBinaryHNSW jarg1_, long jarg2, IndexBinary jarg2_); + public final static native long IndexBinaryHNSW_storage_get(long jarg1, IndexBinaryHNSW jarg1_); + public final static native long new_IndexBinaryHNSW__SWIG_0(); + public final static native long new_IndexBinaryHNSW__SWIG_1(int jarg1, int jarg2); + public final static native long new_IndexBinaryHNSW__SWIG_2(int jarg1); + public final static native long new_IndexBinaryHNSW__SWIG_3(long jarg1, IndexBinary jarg1_, int jarg2); + public final static native long new_IndexBinaryHNSW__SWIG_4(long jarg1, IndexBinary jarg1_); + public final static native void delete_IndexBinaryHNSW(long jarg1); + public final static native long IndexBinaryHNSW_get_distance_computer(long jarg1, IndexBinaryHNSW jarg1_); + public final static native void IndexBinaryHNSW_add(long jarg1, IndexBinaryHNSW jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryHNSW_train(long jarg1, IndexBinaryHNSW jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryHNSW_search(long jarg1, IndexBinaryHNSW jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexBinaryHNSW_reconstruct(long jarg1, IndexBinaryHNSW jarg1_, long jarg2, long jarg3); + public final static native void IndexBinaryHNSW_reset(long jarg1, IndexBinaryHNSW jarg1_); + public final static native void IndexRefine_base_index_set(long jarg1, IndexRefine jarg1_, long jarg2, Index jarg2_); + public final static native long IndexRefine_base_index_get(long jarg1, IndexRefine jarg1_); + public final static native void IndexRefine_refine_index_set(long jarg1, IndexRefine jarg1_, long jarg2, Index jarg2_); + public final static native long IndexRefine_refine_index_get(long jarg1, IndexRefine jarg1_); + public final static native void IndexRefine_own_fields_set(long jarg1, IndexRefine jarg1_, boolean jarg2); + public final static native boolean IndexRefine_own_fields_get(long jarg1, IndexRefine jarg1_); + public final static native void IndexRefine_own_refine_index_set(long jarg1, IndexRefine jarg1_, boolean jarg2); + public final static native boolean IndexRefine_own_refine_index_get(long jarg1, IndexRefine jarg1_); + public final static native void IndexRefine_k_factor_set(long jarg1, IndexRefine jarg1_, float jarg2); + public final static native float IndexRefine_k_factor_get(long jarg1, IndexRefine jarg1_); + public final static native long new_IndexRefine__SWIG_0(long jarg1, Index jarg1_, long jarg2, Index jarg2_); + public final static native long new_IndexRefine__SWIG_1(); + public final static native void IndexRefine_train(long jarg1, IndexRefine jarg1_, long jarg2, long jarg3); + public final static native void IndexRefine_add(long jarg1, IndexRefine jarg1_, long jarg2, long jarg3); + public final static native void IndexRefine_reset(long jarg1, IndexRefine jarg1_); + public final static native void IndexRefine_search(long jarg1, IndexRefine jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexRefine_reconstruct(long jarg1, IndexRefine jarg1_, long jarg2, long jarg3); + public final static native long IndexRefine_sa_code_size(long jarg1, IndexRefine jarg1_); + public final static native void IndexRefine_sa_encode(long jarg1, IndexRefine jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void IndexRefine_sa_decode(long jarg1, IndexRefine jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void delete_IndexRefine(long jarg1); + public final static native long new_IndexRefineFlat__SWIG_0(long jarg1, Index jarg1_); + public final static native long new_IndexRefineFlat__SWIG_1(long jarg1, Index jarg1_, long jarg2); + public final static native long new_IndexRefineFlat__SWIG_2(); + public final static native void IndexRefineFlat_search(long jarg1, IndexRefineFlat jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void delete_IndexRefineFlat(long jarg1); + public final static native void IndexSplitVectors_own_fields_set(long jarg1, IndexSplitVectors jarg1_, boolean jarg2); + public final static native boolean IndexSplitVectors_own_fields_get(long jarg1, IndexSplitVectors jarg1_); + public final static native void IndexSplitVectors_threaded_set(long jarg1, IndexSplitVectors jarg1_, boolean jarg2); + public final static native boolean IndexSplitVectors_threaded_get(long jarg1, IndexSplitVectors jarg1_); + public final static native void IndexSplitVectors_sub_indexes_set(long jarg1, IndexSplitVectors jarg1_, long jarg2); + public final static native long IndexSplitVectors_sub_indexes_get(long jarg1, IndexSplitVectors jarg1_); + public final static native void IndexSplitVectors_sum_d_set(long jarg1, IndexSplitVectors jarg1_, long jarg2); + public final static native long IndexSplitVectors_sum_d_get(long jarg1, IndexSplitVectors jarg1_); + public final static native void IndexSplitVectors_add_sub_index(long jarg1, IndexSplitVectors jarg1_, long jarg2, Index jarg2_); + public final static native void IndexSplitVectors_sync_with_sub_indexes(long jarg1, IndexSplitVectors jarg1_); + public final static native void IndexSplitVectors_add(long jarg1, IndexSplitVectors jarg1_, long jarg2, long jarg3); + public final static native void IndexSplitVectors_search(long jarg1, IndexSplitVectors jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexSplitVectors_train(long jarg1, IndexSplitVectors jarg1_, long jarg2, long jarg3); + public final static native void IndexSplitVectors_reset(long jarg1, IndexSplitVectors jarg1_); + public final static native void delete_IndexSplitVectors(long jarg1); + public final static native void IndexIDMap_index_set(long jarg1, IndexIDMap jarg1_, long jarg2, Index jarg2_); + public final static native long IndexIDMap_index_get(long jarg1, IndexIDMap jarg1_); + public final static native void IndexIDMap_own_fields_set(long jarg1, IndexIDMap jarg1_, boolean jarg2); + public final static native boolean IndexIDMap_own_fields_get(long jarg1, IndexIDMap jarg1_); + public final static native void IndexIDMap_id_map_set(long jarg1, IndexIDMap jarg1_, long jarg2); + public final static native long IndexIDMap_id_map_get(long jarg1, IndexIDMap jarg1_); + public final static native long new_IndexIDMap__SWIG_0(long jarg1, Index jarg1_); + public final static native void IndexIDMap_add_with_ids(long jarg1, IndexIDMap jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexIDMap_add(long jarg1, IndexIDMap jarg1_, long jarg2, long jarg3); + public final static native void IndexIDMap_search(long jarg1, IndexIDMap jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexIDMap_train(long jarg1, IndexIDMap jarg1_, long jarg2, long jarg3); + public final static native void IndexIDMap_reset(long jarg1, IndexIDMap jarg1_); + public final static native long IndexIDMap_remove_ids(long jarg1, IndexIDMap jarg1_, long jarg2, IDSelector jarg2_); + public final static native void IndexIDMap_range_search(long jarg1, IndexIDMap jarg1_, long jarg2, long jarg3, float jarg4, long jarg5, RangeSearchResult jarg5_); + public final static native void delete_IndexIDMap(long jarg1); + public final static native long new_IndexIDMap__SWIG_1(); + public final static native long new_IndexShards__SWIG_0(boolean jarg1, boolean jarg2); + public final static native long new_IndexShards__SWIG_1(boolean jarg1); + public final static native long new_IndexShards__SWIG_2(); + public final static native long new_IndexShards__SWIG_3(int jarg1, boolean jarg2, boolean jarg3); + public final static native long new_IndexShards__SWIG_4(int jarg1, boolean jarg2); + public final static native long new_IndexShards__SWIG_5(int jarg1); + public final static native void IndexShards_add_shard(long jarg1, IndexShards jarg1_, long jarg2, Index jarg2_); + public final static native void IndexShards_remove_shard(long jarg1, IndexShards jarg1_, long jarg2, Index jarg2_); + public final static native void IndexShards_add(long jarg1, IndexShards jarg1_, long jarg2, long jarg3); + public final static native void IndexShards_add_with_ids(long jarg1, IndexShards jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void IndexShards_search(long jarg1, IndexShards jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6, LongVector jarg6_); + public final static native void IndexShards_train(long jarg1, IndexShards jarg1_, long jarg2, long jarg3); + public final static native void IndexShards_successive_ids_set(long jarg1, IndexShards jarg1_, boolean jarg2); + public final static native boolean IndexShards_successive_ids_get(long jarg1, IndexShards jarg1_); + public final static native void IndexShards_syncWithSubIndexes(long jarg1, IndexShards jarg1_); + public final static native void delete_IndexShards(long jarg1); + public final static native long downcast_index(long jarg1, Index jarg1_); + public final static native long downcast_VectorTransform(long jarg1, VectorTransform jarg1_); + public final static native long downcast_IndexBinary(long jarg1, IndexBinary jarg1_); + public final static native long upcast_IndexShards(long jarg1, IndexShards jarg1_); + public final static native void write_index__SWIG_0(long jarg1, Index jarg1_, String jarg2); + public final static native void write_index__SWIG_1(long jarg1, Index jarg1_, long jarg2); + public final static native void write_index__SWIG_2(long jarg1, Index jarg1_, long jarg2); + public final static native void write_index_binary__SWIG_0(long jarg1, IndexBinary jarg1_, String jarg2); + public final static native void write_index_binary__SWIG_1(long jarg1, IndexBinary jarg1_, long jarg2); + public final static native void write_index_binary__SWIG_2(long jarg1, IndexBinary jarg1_, long jarg2); + public final static native int IO_FLAG_READ_ONLY_get(); + public final static native int IO_FLAG_ONDISK_SAME_DIR_get(); + public final static native int IO_FLAG_SKIP_IVF_DATA_get(); + public final static native int IO_FLAG_MMAP_get(); + public final static native long read_index__SWIG_0(String jarg1, int jarg2); + public final static native long read_index__SWIG_1(String jarg1); + public final static native long read_index__SWIG_2(long jarg1, int jarg2); + public final static native long read_index__SWIG_3(long jarg1); + public final static native long read_index__SWIG_4(long jarg1, int jarg2); + public final static native long read_index__SWIG_5(long jarg1); + public final static native long read_index_binary__SWIG_0(String jarg1, int jarg2); + public final static native long read_index_binary__SWIG_1(String jarg1); + public final static native long read_index_binary__SWIG_2(long jarg1, int jarg2); + public final static native long read_index_binary__SWIG_3(long jarg1); + public final static native long read_index_binary__SWIG_4(long jarg1, int jarg2); + public final static native long read_index_binary__SWIG_5(long jarg1); + public final static native void write_VectorTransform(long jarg1, VectorTransform jarg1_, String jarg2); + public final static native long read_VectorTransform(String jarg1); + public final static native long read_ProductQuantizer__SWIG_0(String jarg1); + public final static native long read_ProductQuantizer__SWIG_1(long jarg1); + public final static native void write_ProductQuantizer__SWIG_0(long jarg1, ProductQuantizer jarg1_, String jarg2); + public final static native void write_ProductQuantizer__SWIG_1(long jarg1, ProductQuantizer jarg1_, long jarg2); + public final static native void write_InvertedLists(long jarg1, InvertedLists jarg1_, long jarg2); + public final static native long read_InvertedLists__SWIG_0(long jarg1, int jarg2); + public final static native long read_InvertedLists__SWIG_1(long jarg1); + public final static native void AutoTuneCriterion_nq_set(long jarg1, AutoTuneCriterion jarg1_, long jarg2); + public final static native long AutoTuneCriterion_nq_get(long jarg1, AutoTuneCriterion jarg1_); + public final static native void AutoTuneCriterion_nnn_set(long jarg1, AutoTuneCriterion jarg1_, long jarg2); + public final static native long AutoTuneCriterion_nnn_get(long jarg1, AutoTuneCriterion jarg1_); + public final static native void AutoTuneCriterion_gt_nnn_set(long jarg1, AutoTuneCriterion jarg1_, long jarg2); + public final static native long AutoTuneCriterion_gt_nnn_get(long jarg1, AutoTuneCriterion jarg1_); + public final static native void AutoTuneCriterion_gt_D_set(long jarg1, AutoTuneCriterion jarg1_, long jarg2, FloatVector jarg2_); + public final static native long AutoTuneCriterion_gt_D_get(long jarg1, AutoTuneCriterion jarg1_); + public final static native void AutoTuneCriterion_gt_I_set(long jarg1, AutoTuneCriterion jarg1_, long jarg2); + public final static native long AutoTuneCriterion_gt_I_get(long jarg1, AutoTuneCriterion jarg1_); + public final static native void AutoTuneCriterion_set_groundtruth(long jarg1, AutoTuneCriterion jarg1_, int jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native double AutoTuneCriterion_evaluate(long jarg1, AutoTuneCriterion jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native void delete_AutoTuneCriterion(long jarg1); + public final static native void OneRecallAtRCriterion_R_set(long jarg1, OneRecallAtRCriterion jarg1_, long jarg2); + public final static native long OneRecallAtRCriterion_R_get(long jarg1, OneRecallAtRCriterion jarg1_); + public final static native long new_OneRecallAtRCriterion(long jarg1, long jarg2); + public final static native double OneRecallAtRCriterion_evaluate(long jarg1, OneRecallAtRCriterion jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native void delete_OneRecallAtRCriterion(long jarg1); + public final static native void IntersectionCriterion_R_set(long jarg1, IntersectionCriterion jarg1_, long jarg2); + public final static native long IntersectionCriterion_R_get(long jarg1, IntersectionCriterion jarg1_); + public final static native long new_IntersectionCriterion(long jarg1, long jarg2); + public final static native double IntersectionCriterion_evaluate(long jarg1, IntersectionCriterion jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native void delete_IntersectionCriterion(long jarg1); + public final static native void OperatingPoint_perf_set(long jarg1, OperatingPoint jarg1_, double jarg2); + public final static native double OperatingPoint_perf_get(long jarg1, OperatingPoint jarg1_); + public final static native void OperatingPoint_t_set(long jarg1, OperatingPoint jarg1_, double jarg2); + public final static native double OperatingPoint_t_get(long jarg1, OperatingPoint jarg1_); + public final static native void OperatingPoint_key_set(long jarg1, OperatingPoint jarg1_, String jarg2); + public final static native String OperatingPoint_key_get(long jarg1, OperatingPoint jarg1_); + public final static native void OperatingPoint_cno_set(long jarg1, OperatingPoint jarg1_, long jarg2); + public final static native long OperatingPoint_cno_get(long jarg1, OperatingPoint jarg1_); + public final static native long new_OperatingPoint(); + public final static native void delete_OperatingPoint(long jarg1); + public final static native void OperatingPoints_all_pts_set(long jarg1, OperatingPoints jarg1_, long jarg2, OperatingPointVector jarg2_); + public final static native long OperatingPoints_all_pts_get(long jarg1, OperatingPoints jarg1_); + public final static native void OperatingPoints_optimal_pts_set(long jarg1, OperatingPoints jarg1_, long jarg2, OperatingPointVector jarg2_); + public final static native long OperatingPoints_optimal_pts_get(long jarg1, OperatingPoints jarg1_); + public final static native long new_OperatingPoints(); + public final static native int OperatingPoints_merge_with__SWIG_0(long jarg1, OperatingPoints jarg1_, long jarg2, OperatingPoints jarg2_, String jarg3); + public final static native int OperatingPoints_merge_with__SWIG_1(long jarg1, OperatingPoints jarg1_, long jarg2, OperatingPoints jarg2_); + public final static native void OperatingPoints_clear(long jarg1, OperatingPoints jarg1_); + public final static native boolean OperatingPoints_add__SWIG_0(long jarg1, OperatingPoints jarg1_, double jarg2, double jarg3, String jarg4, long jarg5); + public final static native boolean OperatingPoints_add__SWIG_1(long jarg1, OperatingPoints jarg1_, double jarg2, double jarg3, String jarg4); + public final static native double OperatingPoints_t_for_perf(long jarg1, OperatingPoints jarg1_, double jarg2); + public final static native void OperatingPoints_display__SWIG_0(long jarg1, OperatingPoints jarg1_, boolean jarg2); + public final static native void OperatingPoints_display__SWIG_1(long jarg1, OperatingPoints jarg1_); + public final static native void OperatingPoints_all_to_gnuplot(long jarg1, OperatingPoints jarg1_, String jarg2); + public final static native void OperatingPoints_optimal_to_gnuplot(long jarg1, OperatingPoints jarg1_, String jarg2); + public final static native void delete_OperatingPoints(long jarg1); + public final static native void ParameterRange_name_set(long jarg1, ParameterRange jarg1_, String jarg2); + public final static native String ParameterRange_name_get(long jarg1, ParameterRange jarg1_); + public final static native void ParameterRange_values_set(long jarg1, ParameterRange jarg1_, long jarg2, DoubleVector jarg2_); + public final static native long ParameterRange_values_get(long jarg1, ParameterRange jarg1_); + public final static native long new_ParameterRange(); + public final static native void delete_ParameterRange(long jarg1); + public final static native void ParameterSpace_parameter_ranges_set(long jarg1, ParameterSpace jarg1_, long jarg2); + public final static native long ParameterSpace_parameter_ranges_get(long jarg1, ParameterSpace jarg1_); + public final static native void ParameterSpace_verbose_set(long jarg1, ParameterSpace jarg1_, int jarg2); + public final static native int ParameterSpace_verbose_get(long jarg1, ParameterSpace jarg1_); + public final static native void ParameterSpace_n_experiments_set(long jarg1, ParameterSpace jarg1_, int jarg2); + public final static native int ParameterSpace_n_experiments_get(long jarg1, ParameterSpace jarg1_); + public final static native void ParameterSpace_batchsize_set(long jarg1, ParameterSpace jarg1_, long jarg2); + public final static native long ParameterSpace_batchsize_get(long jarg1, ParameterSpace jarg1_); + public final static native void ParameterSpace_thread_over_batches_set(long jarg1, ParameterSpace jarg1_, boolean jarg2); + public final static native boolean ParameterSpace_thread_over_batches_get(long jarg1, ParameterSpace jarg1_); + public final static native void ParameterSpace_min_test_duration_set(long jarg1, ParameterSpace jarg1_, double jarg2); + public final static native double ParameterSpace_min_test_duration_get(long jarg1, ParameterSpace jarg1_); + public final static native long new_ParameterSpace(); + public final static native long ParameterSpace_n_combinations(long jarg1, ParameterSpace jarg1_); + public final static native boolean ParameterSpace_combination_ge(long jarg1, ParameterSpace jarg1_, long jarg2, long jarg3); + public final static native String ParameterSpace_combination_name(long jarg1, ParameterSpace jarg1_, long jarg2); + public final static native void ParameterSpace_display(long jarg1, ParameterSpace jarg1_); + public final static native long ParameterSpace_add_range(long jarg1, ParameterSpace jarg1_, String jarg2); + public final static native void ParameterSpace_initialize(long jarg1, ParameterSpace jarg1_, long jarg2, Index jarg2_); + public final static native void ParameterSpace_set_index_parameters__SWIG_0(long jarg1, ParameterSpace jarg1_, long jarg2, Index jarg2_, long jarg3); + public final static native void ParameterSpace_set_index_parameters__SWIG_1(long jarg1, ParameterSpace jarg1_, long jarg2, Index jarg2_, String jarg3); + public final static native void ParameterSpace_set_index_parameter(long jarg1, ParameterSpace jarg1_, long jarg2, Index jarg2_, String jarg3, double jarg4); + public final static native void ParameterSpace_update_bounds(long jarg1, ParameterSpace jarg1_, long jarg2, long jarg3, OperatingPoint jarg3_, long jarg4, long jarg5); + public final static native void ParameterSpace_explore(long jarg1, ParameterSpace jarg1_, long jarg2, Index jarg2_, long jarg3, long jarg4, long jarg5, AutoTuneCriterion jarg5_, long jarg6, OperatingPoints jarg6_); + public final static native void delete_ParameterSpace(long jarg1); + public final static native long index_factory__SWIG_0(int jarg1, String jarg2, int jarg3); + public final static native long index_factory__SWIG_1(int jarg1, String jarg2); + public final static native void index_factory_verbose_set(int jarg1); + public final static native int index_factory_verbose_get(); + public final static native long index_binary_factory(int jarg1, String jarg2); + public final static native void simd_histogram_8(long jarg1, int jarg2, long jarg3, int jarg4, long jarg5); + public final static native void simd_histogram_16(long jarg1, int jarg2, long jarg3, int jarg4, long jarg5); + public final static native void PartitionStats_bissect_cycles_set(long jarg1, PartitionStats jarg1_, long jarg2); + public final static native long PartitionStats_bissect_cycles_get(long jarg1, PartitionStats jarg1_); + public final static native void PartitionStats_compress_cycles_set(long jarg1, PartitionStats jarg1_, long jarg2); + public final static native long PartitionStats_compress_cycles_get(long jarg1, PartitionStats jarg1_); + public final static native long new_PartitionStats(); + public final static native void PartitionStats_reset(long jarg1, PartitionStats jarg1_); + public final static native void delete_PartitionStats(long jarg1); + public final static native void partition_stats_set(long jarg1, PartitionStats jarg1_); + public final static native long partition_stats_get(); + public final static native void float_minheap_array_t_nh_set(long jarg1, float_minheap_array_t jarg1_, long jarg2); + public final static native long float_minheap_array_t_nh_get(long jarg1, float_minheap_array_t jarg1_); + public final static native void float_minheap_array_t_k_set(long jarg1, float_minheap_array_t jarg1_, long jarg2); + public final static native long float_minheap_array_t_k_get(long jarg1, float_minheap_array_t jarg1_); + public final static native void float_minheap_array_t_ids_set(long jarg1, float_minheap_array_t jarg1_, long jarg2, LongVector jarg2_); + public final static native long float_minheap_array_t_ids_get(long jarg1, float_minheap_array_t jarg1_); + public final static native void float_minheap_array_t_val_set(long jarg1, float_minheap_array_t jarg1_, long jarg2); + public final static native long float_minheap_array_t_val_get(long jarg1, float_minheap_array_t jarg1_); + public final static native long float_minheap_array_t_get_val(long jarg1, float_minheap_array_t jarg1_, long jarg2); + public final static native long float_minheap_array_t_get_ids(long jarg1, float_minheap_array_t jarg1_, long jarg2); + public final static native void float_minheap_array_t_heapify(long jarg1, float_minheap_array_t jarg1_); + public final static native void float_minheap_array_t_addn__SWIG_0(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void float_minheap_array_t_addn__SWIG_1(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void float_minheap_array_t_addn__SWIG_2(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void float_minheap_array_t_addn__SWIG_3(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3); + public final static native void float_minheap_array_t_addn_with_ids__SWIG_0(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6, long jarg7); + public final static native void float_minheap_array_t_addn_with_ids__SWIG_1(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6); + public final static native void float_minheap_array_t_addn_with_ids__SWIG_2(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void float_minheap_array_t_addn_with_ids__SWIG_3(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void float_minheap_array_t_addn_with_ids__SWIG_4(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3); + public final static native void float_minheap_array_t_reorder(long jarg1, float_minheap_array_t jarg1_); + public final static native void float_minheap_array_t_per_line_extrema(long jarg1, float_minheap_array_t jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long new_float_minheap_array_t(); + public final static native void delete_float_minheap_array_t(long jarg1); + public final static native void int_minheap_array_t_nh_set(long jarg1, int_minheap_array_t jarg1_, long jarg2); + public final static native long int_minheap_array_t_nh_get(long jarg1, int_minheap_array_t jarg1_); + public final static native void int_minheap_array_t_k_set(long jarg1, int_minheap_array_t jarg1_, long jarg2); + public final static native long int_minheap_array_t_k_get(long jarg1, int_minheap_array_t jarg1_); + public final static native void int_minheap_array_t_ids_set(long jarg1, int_minheap_array_t jarg1_, long jarg2, LongVector jarg2_); + public final static native long int_minheap_array_t_ids_get(long jarg1, int_minheap_array_t jarg1_); + public final static native void int_minheap_array_t_val_set(long jarg1, int_minheap_array_t jarg1_, long jarg2); + public final static native long int_minheap_array_t_val_get(long jarg1, int_minheap_array_t jarg1_); + public final static native long int_minheap_array_t_get_val(long jarg1, int_minheap_array_t jarg1_, long jarg2); + public final static native long int_minheap_array_t_get_ids(long jarg1, int_minheap_array_t jarg1_, long jarg2); + public final static native void int_minheap_array_t_heapify(long jarg1, int_minheap_array_t jarg1_); + public final static native void int_minheap_array_t_addn__SWIG_0(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void int_minheap_array_t_addn__SWIG_1(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void int_minheap_array_t_addn__SWIG_2(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void int_minheap_array_t_addn__SWIG_3(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3); + public final static native void int_minheap_array_t_addn_with_ids__SWIG_0(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6, long jarg7); + public final static native void int_minheap_array_t_addn_with_ids__SWIG_1(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6); + public final static native void int_minheap_array_t_addn_with_ids__SWIG_2(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void int_minheap_array_t_addn_with_ids__SWIG_3(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void int_minheap_array_t_addn_with_ids__SWIG_4(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3); + public final static native void int_minheap_array_t_reorder(long jarg1, int_minheap_array_t jarg1_); + public final static native void int_minheap_array_t_per_line_extrema(long jarg1, int_minheap_array_t jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long new_int_minheap_array_t(); + public final static native void delete_int_minheap_array_t(long jarg1); + public final static native void float_maxheap_array_t_nh_set(long jarg1, float_maxheap_array_t jarg1_, long jarg2); + public final static native long float_maxheap_array_t_nh_get(long jarg1, float_maxheap_array_t jarg1_); + public final static native void float_maxheap_array_t_k_set(long jarg1, float_maxheap_array_t jarg1_, long jarg2); + public final static native long float_maxheap_array_t_k_get(long jarg1, float_maxheap_array_t jarg1_); + public final static native void float_maxheap_array_t_ids_set(long jarg1, float_maxheap_array_t jarg1_, long jarg2, LongVector jarg2_); + public final static native long float_maxheap_array_t_ids_get(long jarg1, float_maxheap_array_t jarg1_); + public final static native void float_maxheap_array_t_val_set(long jarg1, float_maxheap_array_t jarg1_, long jarg2); + public final static native long float_maxheap_array_t_val_get(long jarg1, float_maxheap_array_t jarg1_); + public final static native long float_maxheap_array_t_get_val(long jarg1, float_maxheap_array_t jarg1_, long jarg2); + public final static native long float_maxheap_array_t_get_ids(long jarg1, float_maxheap_array_t jarg1_, long jarg2); + public final static native void float_maxheap_array_t_heapify(long jarg1, float_maxheap_array_t jarg1_); + public final static native void float_maxheap_array_t_addn__SWIG_0(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void float_maxheap_array_t_addn__SWIG_1(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void float_maxheap_array_t_addn__SWIG_2(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void float_maxheap_array_t_addn__SWIG_3(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3); + public final static native void float_maxheap_array_t_addn_with_ids__SWIG_0(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6, long jarg7); + public final static native void float_maxheap_array_t_addn_with_ids__SWIG_1(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6); + public final static native void float_maxheap_array_t_addn_with_ids__SWIG_2(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void float_maxheap_array_t_addn_with_ids__SWIG_3(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void float_maxheap_array_t_addn_with_ids__SWIG_4(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3); + public final static native void float_maxheap_array_t_reorder(long jarg1, float_maxheap_array_t jarg1_); + public final static native void float_maxheap_array_t_per_line_extrema(long jarg1, float_maxheap_array_t jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long new_float_maxheap_array_t(); + public final static native void delete_float_maxheap_array_t(long jarg1); + public final static native void int_maxheap_array_t_nh_set(long jarg1, int_maxheap_array_t jarg1_, long jarg2); + public final static native long int_maxheap_array_t_nh_get(long jarg1, int_maxheap_array_t jarg1_); + public final static native void int_maxheap_array_t_k_set(long jarg1, int_maxheap_array_t jarg1_, long jarg2); + public final static native long int_maxheap_array_t_k_get(long jarg1, int_maxheap_array_t jarg1_); + public final static native void int_maxheap_array_t_ids_set(long jarg1, int_maxheap_array_t jarg1_, long jarg2, LongVector jarg2_); + public final static native long int_maxheap_array_t_ids_get(long jarg1, int_maxheap_array_t jarg1_); + public final static native void int_maxheap_array_t_val_set(long jarg1, int_maxheap_array_t jarg1_, long jarg2); + public final static native long int_maxheap_array_t_val_get(long jarg1, int_maxheap_array_t jarg1_); + public final static native long int_maxheap_array_t_get_val(long jarg1, int_maxheap_array_t jarg1_, long jarg2); + public final static native long int_maxheap_array_t_get_ids(long jarg1, int_maxheap_array_t jarg1_, long jarg2); + public final static native void int_maxheap_array_t_heapify(long jarg1, int_maxheap_array_t jarg1_); + public final static native void int_maxheap_array_t_addn__SWIG_0(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void int_maxheap_array_t_addn__SWIG_1(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, long jarg5); + public final static native void int_maxheap_array_t_addn__SWIG_2(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4); + public final static native void int_maxheap_array_t_addn__SWIG_3(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3); + public final static native void int_maxheap_array_t_addn_with_ids__SWIG_0(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6, long jarg7); + public final static native void int_maxheap_array_t_addn_with_ids__SWIG_1(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5, long jarg6); + public final static native void int_maxheap_array_t_addn_with_ids__SWIG_2(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void int_maxheap_array_t_addn_with_ids__SWIG_3(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_); + public final static native void int_maxheap_array_t_addn_with_ids__SWIG_4(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3); + public final static native void int_maxheap_array_t_reorder(long jarg1, int_maxheap_array_t jarg1_); + public final static native void int_maxheap_array_t_per_line_extrema(long jarg1, int_maxheap_array_t jarg1_, long jarg2, long jarg3, LongVector jarg3_); + public final static native long new_int_maxheap_array_t(); + public final static native void delete_int_maxheap_array_t(long jarg1); + public final static native float CMin_float_partition_fuzzy(long jarg1, long jarg2, LongVector jarg2_, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native float CMax_float_partition_fuzzy(long jarg1, long jarg2, LongVector jarg2_, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void AlignedTableUint8_tab_set(long jarg1, AlignedTableUint8 jarg1_, long jarg2); + public final static native long AlignedTableUint8_tab_get(long jarg1, AlignedTableUint8 jarg1_); + public final static native void AlignedTableUint8_numel_set(long jarg1, AlignedTableUint8 jarg1_, long jarg2); + public final static native long AlignedTableUint8_numel_get(long jarg1, AlignedTableUint8 jarg1_); + public final static native long AlignedTableUint8_round_capacity(long jarg1); + public final static native long new_AlignedTableUint8__SWIG_0(); + public final static native long new_AlignedTableUint8__SWIG_1(long jarg1); + public final static native long AlignedTableUint8_itemsize(long jarg1, AlignedTableUint8 jarg1_); + public final static native void AlignedTableUint8_resize(long jarg1, AlignedTableUint8 jarg1_, long jarg2); + public final static native void AlignedTableUint8_clear(long jarg1, AlignedTableUint8 jarg1_); + public final static native long AlignedTableUint8_size(long jarg1, AlignedTableUint8 jarg1_); + public final static native long AlignedTableUint8_nbytes(long jarg1, AlignedTableUint8 jarg1_); + public final static native long AlignedTableUint8_get__SWIG_0(long jarg1, AlignedTableUint8 jarg1_); + public final static native long AlignedTableUint8_data__SWIG_0(long jarg1, AlignedTableUint8 jarg1_); + public final static native void delete_AlignedTableUint8(long jarg1); + public final static native void AlignedTableUint16_tab_set(long jarg1, AlignedTableUint16 jarg1_, long jarg2); + public final static native long AlignedTableUint16_tab_get(long jarg1, AlignedTableUint16 jarg1_); + public final static native void AlignedTableUint16_numel_set(long jarg1, AlignedTableUint16 jarg1_, long jarg2); + public final static native long AlignedTableUint16_numel_get(long jarg1, AlignedTableUint16 jarg1_); + public final static native long AlignedTableUint16_round_capacity(long jarg1); + public final static native long new_AlignedTableUint16__SWIG_0(); + public final static native long new_AlignedTableUint16__SWIG_1(long jarg1); + public final static native long AlignedTableUint16_itemsize(long jarg1, AlignedTableUint16 jarg1_); + public final static native void AlignedTableUint16_resize(long jarg1, AlignedTableUint16 jarg1_, long jarg2); + public final static native void AlignedTableUint16_clear(long jarg1, AlignedTableUint16 jarg1_); + public final static native long AlignedTableUint16_size(long jarg1, AlignedTableUint16 jarg1_); + public final static native long AlignedTableUint16_nbytes(long jarg1, AlignedTableUint16 jarg1_); + public final static native long AlignedTableUint16_get__SWIG_0(long jarg1, AlignedTableUint16 jarg1_); + public final static native long AlignedTableUint16_data__SWIG_0(long jarg1, AlignedTableUint16 jarg1_); + public final static native void delete_AlignedTableUint16(long jarg1); + public final static native void AlignedTableFloat32_tab_set(long jarg1, AlignedTableFloat32 jarg1_, long jarg2); + public final static native long AlignedTableFloat32_tab_get(long jarg1, AlignedTableFloat32 jarg1_); + public final static native void AlignedTableFloat32_numel_set(long jarg1, AlignedTableFloat32 jarg1_, long jarg2); + public final static native long AlignedTableFloat32_numel_get(long jarg1, AlignedTableFloat32 jarg1_); + public final static native long AlignedTableFloat32_round_capacity(long jarg1); + public final static native long new_AlignedTableFloat32__SWIG_0(); + public final static native long new_AlignedTableFloat32__SWIG_1(long jarg1); + public final static native long AlignedTableFloat32_itemsize(long jarg1, AlignedTableFloat32 jarg1_); + public final static native void AlignedTableFloat32_resize(long jarg1, AlignedTableFloat32 jarg1_, long jarg2); + public final static native void AlignedTableFloat32_clear(long jarg1, AlignedTableFloat32 jarg1_); + public final static native long AlignedTableFloat32_size(long jarg1, AlignedTableFloat32 jarg1_); + public final static native long AlignedTableFloat32_nbytes(long jarg1, AlignedTableFloat32 jarg1_); + public final static native long AlignedTableFloat32_get__SWIG_0(long jarg1, AlignedTableFloat32 jarg1_); + public final static native long AlignedTableFloat32_data__SWIG_0(long jarg1, AlignedTableFloat32 jarg1_); + public final static native void delete_AlignedTableFloat32(long jarg1); + public final static native long CMax_uint16_partition_fuzzy__SWIG_0(long jarg1, long jarg2, LongVector jarg2_, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native long CMin_uint16_partition_fuzzy__SWIG_0(long jarg1, long jarg2, LongVector jarg2_, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native long CMax_uint16_partition_fuzzy__SWIG_1(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native long CMin_uint16_partition_fuzzy__SWIG_1(long jarg1, long jarg2, long jarg3, long jarg4, long jarg5, long jarg6); + public final static native void omp_set_num_threads(int jarg1); + public final static native int omp_get_max_threads(); + public final static native long memcpy(long jarg1, long jarg2, long jarg3); + public final static native long cast_integer_to_float_ptr(int jarg1); + public final static native long cast_integer_to_long_ptr(int jarg1); + public final static native long cast_integer_to_int_ptr(int jarg1); + public final static native void RangeSearchResult_nq_set(long jarg1, RangeSearchResult jarg1_, long jarg2); + public final static native long RangeSearchResult_nq_get(long jarg1, RangeSearchResult jarg1_); + public final static native void RangeSearchResult_lims_set(long jarg1, RangeSearchResult jarg1_, long jarg2); + public final static native long RangeSearchResult_lims_get(long jarg1, RangeSearchResult jarg1_); + public final static native void RangeSearchResult_labels_set(long jarg1, RangeSearchResult jarg1_, long jarg2, LongVector jarg2_); + public final static native long RangeSearchResult_labels_get(long jarg1, RangeSearchResult jarg1_); + public final static native void RangeSearchResult_distances_set(long jarg1, RangeSearchResult jarg1_, long jarg2); + public final static native long RangeSearchResult_distances_get(long jarg1, RangeSearchResult jarg1_); + public final static native void RangeSearchResult_buffer_size_set(long jarg1, RangeSearchResult jarg1_, long jarg2); + public final static native long RangeSearchResult_buffer_size_get(long jarg1, RangeSearchResult jarg1_); + public final static native void RangeSearchResult_do_allocation(long jarg1, RangeSearchResult jarg1_); + public final static native void delete_RangeSearchResult(long jarg1); + public final static native boolean IDSelector_is_member(long jarg1, IDSelector jarg1_, long jarg2); + public final static native void delete_IDSelector(long jarg1); + public final static native void IDSelectorRange_imin_set(long jarg1, IDSelectorRange jarg1_, long jarg2); + public final static native long IDSelectorRange_imin_get(long jarg1, IDSelectorRange jarg1_); + public final static native void IDSelectorRange_imax_set(long jarg1, IDSelectorRange jarg1_, long jarg2); + public final static native long IDSelectorRange_imax_get(long jarg1, IDSelectorRange jarg1_); + public final static native long new_IDSelectorRange(long jarg1, long jarg2); + public final static native boolean IDSelectorRange_is_member(long jarg1, IDSelectorRange jarg1_, long jarg2); + public final static native void delete_IDSelectorRange(long jarg1); + public final static native void IDSelectorArray_n_set(long jarg1, IDSelectorArray jarg1_, long jarg2); + public final static native long IDSelectorArray_n_get(long jarg1, IDSelectorArray jarg1_); + public final static native void IDSelectorArray_ids_set(long jarg1, IDSelectorArray jarg1_, long jarg2, LongVector jarg2_); + public final static native long IDSelectorArray_ids_get(long jarg1, IDSelectorArray jarg1_); + public final static native long new_IDSelectorArray(long jarg1, long jarg2, LongVector jarg2_); + public final static native boolean IDSelectorArray_is_member(long jarg1, IDSelectorArray jarg1_, long jarg2); + public final static native void delete_IDSelectorArray(long jarg1); + public final static native void IDSelectorBatch_nbits_set(long jarg1, IDSelectorBatch jarg1_, int jarg2); + public final static native int IDSelectorBatch_nbits_get(long jarg1, IDSelectorBatch jarg1_); + public final static native void IDSelectorBatch_mask_set(long jarg1, IDSelectorBatch jarg1_, long jarg2); + public final static native long IDSelectorBatch_mask_get(long jarg1, IDSelectorBatch jarg1_); + public final static native long new_IDSelectorBatch(long jarg1, long jarg2, LongVector jarg2_); + public final static native boolean IDSelectorBatch_is_member(long jarg1, IDSelectorBatch jarg1_, long jarg2); + public final static native void delete_IDSelectorBatch(long jarg1); + public final static native void BufferList_buffer_size_set(long jarg1, BufferList jarg1_, long jarg2); + public final static native long BufferList_buffer_size_get(long jarg1, BufferList jarg1_); + public final static native void BufferList_buffers_set(long jarg1, BufferList jarg1_, long jarg2); + public final static native long BufferList_buffers_get(long jarg1, BufferList jarg1_); + public final static native void BufferList_wp_set(long jarg1, BufferList jarg1_, long jarg2); + public final static native long BufferList_wp_get(long jarg1, BufferList jarg1_); + public final static native long new_BufferList(long jarg1); + public final static native void delete_BufferList(long jarg1); + public final static native void BufferList_append_buffer(long jarg1, BufferList jarg1_); + public final static native void BufferList_add(long jarg1, BufferList jarg1_, long jarg2, float jarg3); + public final static native void BufferList_copy_range(long jarg1, BufferList jarg1_, long jarg2, long jarg3, long jarg4, LongVector jarg4_, long jarg5); + public final static native void RangeQueryResult_qno_set(long jarg1, RangeQueryResult jarg1_, long jarg2); + public final static native long RangeQueryResult_qno_get(long jarg1, RangeQueryResult jarg1_); + public final static native void RangeQueryResult_nres_set(long jarg1, RangeQueryResult jarg1_, long jarg2); + public final static native long RangeQueryResult_nres_get(long jarg1, RangeQueryResult jarg1_); + public final static native void RangeQueryResult_pres_set(long jarg1, RangeQueryResult jarg1_, long jarg2, RangeSearchPartialResult jarg2_); + public final static native long RangeQueryResult_pres_get(long jarg1, RangeQueryResult jarg1_); + public final static native void RangeQueryResult_add(long jarg1, RangeQueryResult jarg1_, float jarg2, long jarg3); + public final static native long new_RangeQueryResult(); + public final static native void delete_RangeQueryResult(long jarg1); + public final static native void RangeSearchPartialResult_res_set(long jarg1, RangeSearchPartialResult jarg1_, long jarg2, RangeSearchResult jarg2_); + public final static native long RangeSearchPartialResult_res_get(long jarg1, RangeSearchPartialResult jarg1_); + public final static native void RangeSearchPartialResult_queries_set(long jarg1, RangeSearchPartialResult jarg1_, long jarg2); + public final static native long RangeSearchPartialResult_queries_get(long jarg1, RangeSearchPartialResult jarg1_); + public final static native long RangeSearchPartialResult_new_result(long jarg1, RangeSearchPartialResult jarg1_, long jarg2); + public final static native void RangeSearchPartialResult_set_lims(long jarg1, RangeSearchPartialResult jarg1_); + public final static native void RangeSearchPartialResult_copy_result__SWIG_0(long jarg1, RangeSearchPartialResult jarg1_, boolean jarg2); + public final static native void RangeSearchPartialResult_copy_result__SWIG_1(long jarg1, RangeSearchPartialResult jarg1_); + public final static native void RangeSearchPartialResult_merge__SWIG_0(long jarg1, boolean jarg2); + public final static native void RangeSearchPartialResult_merge__SWIG_1(long jarg1); + public final static native void delete_RangeSearchPartialResult(long jarg1); + public final static native void DistanceComputer_set_query(long jarg1, DistanceComputer jarg1_, long jarg2); + public final static native float DistanceComputer_symmetric_dis(long jarg1, DistanceComputer jarg1_, long jarg2, long jarg3); + public final static native void delete_DistanceComputer(long jarg1); + public final static native boolean InterruptCallback_want_interrupt(long jarg1, InterruptCallback jarg1_); + public final static native void delete_InterruptCallback(long jarg1); + public final static native void InterruptCallback_clear_instance(); + public final static native void InterruptCallback_check(); + public final static native boolean InterruptCallback_is_interrupted(); + public final static native long InterruptCallback_get_period_hint(long jarg1); + public final static native void VisitedTable_visited_set(long jarg1, VisitedTable jarg1_, long jarg2, ByteVector jarg2_); + public final static native long VisitedTable_visited_get(long jarg1, VisitedTable jarg1_); + public final static native void VisitedTable_visno_set(long jarg1, VisitedTable jarg1_, int jarg2); + public final static native int VisitedTable_visno_get(long jarg1, VisitedTable jarg1_); + public final static native long new_VisitedTable(int jarg1); + public final static native void VisitedTable_set(long jarg1, VisitedTable jarg1_, int jarg2); + public final static native boolean VisitedTable_get(long jarg1, VisitedTable jarg1_, int jarg2); + public final static native void VisitedTable_advance(long jarg1, VisitedTable jarg1_); + public final static native void delete_VisitedTable(long jarg1); + public final static native void ignore_SIGTTIN(); + public final static native void MapLong2Long_map_set(long jarg1, MapLong2Long jarg1_, long jarg2); + public final static native long MapLong2Long_map_get(long jarg1, MapLong2Long jarg1_); + public final static native void MapLong2Long_add(long jarg1, MapLong2Long jarg1_, long jarg2, long jarg3, long jarg4); + public final static native int MapLong2Long_search(long jarg1, MapLong2Long jarg1_, int jarg2); + public final static native void MapLong2Long_search_multiple(long jarg1, MapLong2Long jarg1_, long jarg2, long jarg3, long jarg4); + public final static native long new_MapLong2Long(); + public final static native void delete_MapLong2Long(long jarg1); + public final static native long Clustering_SWIGUpcast(long jarg1); + public final static native long Clustering1D_SWIGUpcast(long jarg1); + public final static native long ProgressiveDimClusteringParameters_SWIGUpcast(long jarg1); + public final static native long ProgressiveDimClustering_SWIGUpcast(long jarg1); + public final static native long LinearTransform_SWIGUpcast(long jarg1); + public final static native long RandomRotationMatrix_SWIGUpcast(long jarg1); + public final static native long PCAMatrix_SWIGUpcast(long jarg1); + public final static native long ITQMatrix_SWIGUpcast(long jarg1); + public final static native long ITQTransform_SWIGUpcast(long jarg1); + public final static native long OPQMatrix_SWIGUpcast(long jarg1); + public final static native long RemapDimensionsTransform_SWIGUpcast(long jarg1); + public final static native long NormalizationTransform_SWIGUpcast(long jarg1); + public final static native long CenteringTransform_SWIGUpcast(long jarg1); + public final static native long IndexFlatCodes_SWIGUpcast(long jarg1); + public final static native long IndexFlat_SWIGUpcast(long jarg1); + public final static native long IndexFlatIP_SWIGUpcast(long jarg1); + public final static native long IndexFlatL2_SWIGUpcast(long jarg1); + public final static native long IndexFlat1D_SWIGUpcast(long jarg1); + public final static native long IndexLSH_SWIGUpcast(long jarg1); + public final static native long ReproduceDistancesObjective_SWIGUpcast(long jarg1); + public final static native long SimulatedAnnealingOptimizer_SWIGUpcast(long jarg1); + public final static native long PolysemousTraining_SWIGUpcast(long jarg1); + public final static native long IndexPQ_SWIGUpcast(long jarg1); + public final static native long MultiIndexQuantizer_SWIGUpcast(long jarg1); + public final static native long MultiIndexQuantizer2_SWIGUpcast(long jarg1); + public final static native long ArrayInvertedLists_SWIGUpcast(long jarg1); + public final static native long ReadOnlyInvertedLists_SWIGUpcast(long jarg1); + public final static native long HStackInvertedLists_SWIGUpcast(long jarg1); + public final static native long SliceInvertedLists_SWIGUpcast(long jarg1); + public final static native long VStackInvertedLists_SWIGUpcast(long jarg1); + public final static native long MaskedInvertedLists_SWIGUpcast(long jarg1); + public final static native long StopWordsInvertedLists_SWIGUpcast(long jarg1); + public final static native long IndexIVF_SWIGUpcast(long jarg1); + public final static native long IndexScalarQuantizer_SWIGUpcast(long jarg1); + public final static native long IndexIVFScalarQuantizer_SWIGUpcast(long jarg1); + public final static native long IndexHNSW_SWIGUpcast(long jarg1); + public final static native long IndexHNSWFlat_SWIGUpcast(long jarg1); + public final static native long IndexHNSWPQ_SWIGUpcast(long jarg1); + public final static native long IndexHNSWSQ_SWIGUpcast(long jarg1); + public final static native long IndexHNSW2Level_SWIGUpcast(long jarg1); + public final static native long IndexIVFFlat_SWIGUpcast(long jarg1); + public final static native long IndexIVFFlatDedup_SWIGUpcast(long jarg1); + public final static native long OnDiskInvertedLists_SWIGUpcast(long jarg1); + public final static native long IVFPQSearchParameters_SWIGUpcast(long jarg1); + public final static native long IndexIVFPQ_SWIGUpcast(long jarg1); + public final static native long Index2Layer_SWIGUpcast(long jarg1); + public final static native long IndexBinaryFlat_SWIGUpcast(long jarg1); + public final static native long IndexBinaryIVF_SWIGUpcast(long jarg1); + public final static native long IndexBinaryFromFloat_SWIGUpcast(long jarg1); + public final static native long IndexBinaryHNSW_SWIGUpcast(long jarg1); + public final static native long IndexRefine_SWIGUpcast(long jarg1); + public final static native long IndexRefineFlat_SWIGUpcast(long jarg1); + public final static native long IndexSplitVectors_SWIGUpcast(long jarg1); + public final static native long IndexIDMap_SWIGUpcast(long jarg1); + public final static native long OneRecallAtRCriterion_SWIGUpcast(long jarg1); + public final static native long IntersectionCriterion_SWIGUpcast(long jarg1); + public final static native long IDSelectorRange_SWIGUpcast(long jarg1); + public final static native long IDSelectorArray_SWIGUpcast(long jarg1); + public final static native long IDSelectorBatch_SWIGUpcast(long jarg1); + public final static native long RangeSearchPartialResult_SWIGUpcast(long jarg1); +} diff --git a/ann/src/main/java/com/twitter/ann/hnsw/BUILD b/ann/src/main/java/com/twitter/ann/hnsw/BUILD new file mode 100644 index 000000000..b7534c6e7 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/BUILD @@ -0,0 +1,18 @@ +java_library( + sources = ["*.java"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/guava", + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/twitter/bijection:core", + "3rdparty/jvm/commons-lang", + "3rdparty/jvm/org/apache/thrift", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-java", + "mediaservices/commons/src/main/scala:futuretracker", + "scrooge/scrooge-core", + "src/java/com/twitter/search/common/file", + ], +) diff --git a/ann/src/main/java/com/twitter/ann/hnsw/DistanceFunction.java b/ann/src/main/java/com/twitter/ann/hnsw/DistanceFunction.java new file mode 100644 index 000000000..a7adf126f --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/DistanceFunction.java @@ -0,0 +1,8 @@ +package com.twitter.ann.hnsw; + +public interface DistanceFunction { + /** + * Distance between two items. + */ + float distance(T t, Q q); +} diff --git a/ann/src/main/java/com/twitter/ann/hnsw/DistancedItem.java b/ann/src/main/java/com/twitter/ann/hnsw/DistancedItem.java new file mode 100644 index 000000000..cc3fb6a7a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/DistancedItem.java @@ -0,0 +1,23 @@ +package com.twitter.ann.hnsw; + +/** + * An item associated with a float distance + * @param The type of the item. + */ +public class DistancedItem { + private final T item; + private final float distance; + + public DistancedItem(T item, float distance) { + this.item = item; + this.distance = distance; + } + + public T getItem() { + return item; + } + + public float getDistance() { + return distance; + } +} diff --git a/ann/src/main/java/com/twitter/ann/hnsw/DistancedItemQueue.java b/ann/src/main/java/com/twitter/ann/hnsw/DistancedItemQueue.java new file mode 100644 index 000000000..f77f9c2b2 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/DistancedItemQueue.java @@ -0,0 +1,196 @@ +package com.twitter.ann.hnsw; + +import java.util.ArrayList; +import java.util.Comparator; +import java.util.Iterator; +import java.util.List; +import java.util.PriorityQueue; + +/** + * Container for items with their distance. + * + * @param Type of origin/reference element. + * @param Type of element that the queue will hold + */ +public class DistancedItemQueue implements Iterable> { + private final U origin; + private final DistanceFunction distFn; + private final PriorityQueue> queue; + private final boolean minQueue; + /** + * Creates ontainer for items with their distances. + * + * @param origin Origin (reference) point + * @param initial Initial list of elements to add in the structure + * @param minQueue True for min queue, False for max queue + * @param distFn Distance function + */ + public DistancedItemQueue( + U origin, + List initial, + boolean minQueue, + DistanceFunction distFn + ) { + this.origin = origin; + this.distFn = distFn; + this.minQueue = minQueue; + final Comparator> cmp; + if (minQueue) { + cmp = (o1, o2) -> Float.compare(o1.getDistance(), o2.getDistance()); + } else { + cmp = (o1, o2) -> Float.compare(o2.getDistance(), o1.getDistance()); + } + this.queue = new PriorityQueue<>(cmp); + enqueueAll(initial); + new DistancedItemQueue<>(origin, distFn, queue, minQueue); + } + + private DistancedItemQueue( + U origin, + DistanceFunction distFn, + PriorityQueue> queue, + boolean minQueue + ) { + this.origin = origin; + this.distFn = distFn; + this.queue = queue; + this.minQueue = minQueue; + } + + /** + * Enqueues all the items into the queue. + */ + public void enqueueAll(List list) { + for (T t : list) { + enqueue(t); + } + } + + /** + * Return if queue is non empty or not + * + * @return true if queue is not empty else false + */ + public boolean nonEmpty() { + return !queue.isEmpty(); + } + + /** + * Return root of the queue + * + * @return root of the queue i.e min/max element depending upon min-max queue + */ + public DistancedItem peek() { + return queue.peek(); + } + + /** + * Dequeue root of the queue. + * + * @return remove and return root of the queue i.e min/max element depending upon min-max queue + */ + public DistancedItem dequeue() { + return queue.poll(); + } + + /** + * Dequeue all the elements from queueu with ordering mantained + * + * @return remove all the elements in the order of the queue i.e min/max queue. + */ + public List> dequeueAll() { + final List> list = new ArrayList<>(queue.size()); + while (!queue.isEmpty()) { + list.add(queue.poll()); + } + + return list; + } + + /** + * Convert queue to list + * + * @return list of elements of queue with distance and without any specific ordering + */ + public List> toList() { + return new ArrayList<>(queue); + } + + /** + * Convert queue to list + * + * @return list of elements of queue without any specific ordering + */ + List toListWithItem() { + List list = new ArrayList<>(queue.size()); + Iterator> itr = iterator(); + while (itr.hasNext()) { + list.add(itr.next().getItem()); + } + return list; + } + + /** + * Enqueue an item into the queue + */ + public void enqueue(T item) { + queue.add(new DistancedItem<>(item, distFn.distance(origin, item))); + } + + /** + * Enqueue an item into the queue with its distance. + */ + public void enqueue(T item, float distance) { + queue.add(new DistancedItem<>(item, distance)); + } + + /** + * Size + * + * @return size of the queue + */ + public int size() { + return queue.size(); + } + + /** + * Is Min queue + * + * @return true if min queue else false + */ + public boolean isMinQueue() { + return minQueue; + } + + /** + * Returns origin (base element) of the queue + * + * @return origin of the queue + */ + public U getOrigin() { + return origin; + } + + /** + * Return a new queue with ordering reversed. + */ + public DistancedItemQueue reverse() { + final PriorityQueue> rqueue = + new PriorityQueue<>(queue.comparator().reversed()); + if (queue.isEmpty()) { + return new DistancedItemQueue<>(origin, distFn, rqueue, !isMinQueue()); + } + + final Iterator> itr = iterator(); + while (itr.hasNext()) { + rqueue.add(itr.next()); + } + + return new DistancedItemQueue<>(origin, distFn, rqueue, !isMinQueue()); + } + + @Override + public Iterator> iterator() { + return queue.iterator(); + } +} diff --git a/ann/src/main/java/com/twitter/ann/hnsw/HnswIndex.java b/ann/src/main/java/com/twitter/ann/hnsw/HnswIndex.java new file mode 100644 index 000000000..2f9c91409 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/HnswIndex.java @@ -0,0 +1,711 @@ +package com.twitter.ann.hnsw; + +import java.io.IOException; +import java.nio.ByteBuffer; +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Objects; +import java.util.Optional; +import java.util.Random; +import java.util.Set; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.atomic.AtomicReference; +import java.util.concurrent.locks.Lock; +import java.util.concurrent.locks.ReadWriteLock; +import java.util.concurrent.locks.ReentrantLock; +import java.util.concurrent.locks.ReentrantReadWriteLock; +import java.util.function.Function; + +import com.google.common.annotations.VisibleForTesting; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableList; + +import org.apache.thrift.TException; + +import com.twitter.ann.common.IndexOutputFile; +import com.twitter.ann.common.thriftjava.HnswInternalIndexMetadata; +import com.twitter.bijection.Injection; +import com.twitter.logging.Logger; +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec; +import com.twitter.search.common.file.AbstractFile; + +/** + * Typed multithreaded HNSW implementation supporting creation/querying of approximate nearest neighbour + * Paper: https://arxiv.org/pdf/1603.09320.pdf + * Multithreading impl based on NMSLIB version : https://github.com/nmslib/hnsw/blob/master/hnswlib/hnswalg.h + * + * @param The type of items inserted / searched in the HNSW index. + * @param The type of KNN query. + */ +public class HnswIndex { + private static final Logger LOG = Logger.get(HnswIndex.class); + private static final String METADATA_FILE_NAME = "hnsw_internal_metadata"; + private static final String GRAPH_FILE_NAME = "hnsw_internal_graph"; + private static final int MAP_SIZE_FACTOR = 5; + + private final DistanceFunction distFnIndex; + private final DistanceFunction distFnQuery; + private final int efConstruction; + private final int maxM; + private final int maxM0; + private final double levelMultiplier; + private final AtomicReference> graphMeta = new AtomicReference<>(); + private final Map, ImmutableList> graph; + // To take lock on vertex level + private final ConcurrentHashMap locks; + // To take lock on whole graph only if vertex addition is on layer above the current maxLevel + private final ReentrantLock globalLock; + private final Function lockProvider; + + private final RandomProvider randomProvider; + + // Probability of reevaluating connections of an element in the neighborhood during an update + // Can be used as a knob to adjust update_speed/search_speed tradeoff. + private final float updateNeighborProbability; + + /** + * Creates instance of hnsw index. + * + * @param distFnIndex Any distance metric/non metric that specifies similarity between two items for indexing. + * @param distFnQuery Any distance metric/non metric that specifies similarity between item for which nearest neighbours queried for and already indexed item. + * @param efConstruction Provide speed vs index quality tradeoff, higher the value better the quality and higher the time to create index. + * Valid range of efConstruction can be anywhere between 1 and tens of thousand. Typically, it should be set so that a search of M + * neighbors with ef=efConstruction should end in recall>0.95. + * @param maxM Maximum connections per layer except 0th level. + * Optimal values between 5-48. + * Smaller M generally produces better result for lower recalls and/ or lower dimensional data, + * while bigger M is better for high recall and/ or high dimensional, data on the expense of more memory/disk usage + * @param expectedElements Approximate number of elements to be indexed + */ + protected HnswIndex( + DistanceFunction distFnIndex, + DistanceFunction distFnQuery, + int efConstruction, + int maxM, + int expectedElements, + RandomProvider randomProvider + ) { + this(distFnIndex, + distFnQuery, + efConstruction, + maxM, + expectedElements, + new HnswMeta<>(-1, Optional.empty()), + new ConcurrentHashMap<>(MAP_SIZE_FACTOR * expectedElements), + randomProvider + ); + } + + private HnswIndex( + DistanceFunction distFnIndex, + DistanceFunction distFnQuery, + int efConstruction, + int maxM, + int expectedElements, + HnswMeta graphMeta, + Map, ImmutableList> graph, + RandomProvider randomProvider + ) { + this.distFnIndex = distFnIndex; + this.distFnQuery = distFnQuery; + this.efConstruction = efConstruction; + this.maxM = maxM; + this.maxM0 = 2 * maxM; + this.levelMultiplier = 1.0 / Math.log(1.0 * maxM); + this.graphMeta.set(graphMeta); + this.graph = graph; + this.locks = new ConcurrentHashMap<>(MAP_SIZE_FACTOR * expectedElements); + this.globalLock = new ReentrantLock(); + this.lockProvider = key -> new ReentrantReadWriteLock(); + this.randomProvider = randomProvider; + this.updateNeighborProbability = 1.0f; + } + + /** + * wireConnectionForAllLayers finds connections for a new element and creates bi-direction links. + * The method assumes using a reentrant lock to link list reads. + * + * @param entryPoint the global entry point + * @param item the item for which the connections are found + * @param itemLevel the level of the added item (maximum layer in which we wire the connections) + * @param maxLayer the level of the entry point + */ + private void wireConnectionForAllLayers(final T entryPoint, final T item, final int itemLevel, + final int maxLayer, final boolean isUpdate) { + T curObj = entryPoint; + if (itemLevel < maxLayer) { + curObj = bestEntryPointUntilLayer(curObj, item, maxLayer, itemLevel, distFnIndex); + } + for (int level = Math.min(itemLevel, maxLayer); level >= 0; level--) { + final DistancedItemQueue candidates = + searchLayerForCandidates(item, curObj, efConstruction, level, distFnIndex, isUpdate); + curObj = mutuallyConnectNewElement(item, candidates, level, isUpdate); + } + } + + /** + * Insert the item into HNSW index. + */ + public void insert(final T item) throws IllegalDuplicateInsertException { + final Lock itemLock = locks.computeIfAbsent(item, lockProvider).writeLock(); + itemLock.lock(); + try { + final HnswMeta metadata = graphMeta.get(); + // If the graph already have the item, should not re-insert it again + // Need to check entry point in case we reinsert first item where is are no graph + // but only a entry point + if (graph.containsKey(HnswNode.from(0, item)) + || (metadata.getEntryPoint().isPresent() + && Objects.equals(metadata.getEntryPoint().get(), item))) { + throw new IllegalDuplicateInsertException( + "Duplicate insertion is not supported: " + item); + } + final int curLevel = getRandomLevel(); + Optional entryPoint = metadata.getEntryPoint(); + // The global lock prevents two threads from making changes to the entry point. This lock + // should get taken very infrequently. Something like log-base-levelMultiplier(num items) + // For a full explanation of locking see this document: http://go/hnsw-locking + int maxLevelCopy = metadata.getMaxLevel(); + if (curLevel > maxLevelCopy) { + globalLock.lock(); + // Re initialize the entryPoint and maxLevel in case these are changed by any other thread + // No need to check the condition again since, + // it is already checked at the end before updating entry point struct + // No need to unlock for optimization and keeping as is if condition fails since threads + // will not be entering this section a lot. + final HnswMeta temp = graphMeta.get(); + entryPoint = temp.getEntryPoint(); + maxLevelCopy = temp.getMaxLevel(); + } + + if (entryPoint.isPresent()) { + wireConnectionForAllLayers(entryPoint.get(), item, curLevel, maxLevelCopy, false); + } + + if (curLevel > maxLevelCopy) { + Preconditions.checkState(globalLock.isHeldByCurrentThread(), + "Global lock not held before updating entry point"); + graphMeta.set(new HnswMeta<>(curLevel, Optional.of(item))); + } + } finally { + if (globalLock.isHeldByCurrentThread()) { + globalLock.unlock(); + } + itemLock.unlock(); + } + } + + /** + * set connections of an element with synchronization + * The only other place that should have the lock for writing is during + * the element insertion + */ + private void setConnectionList(final T item, int layer, List connections) { + final Lock candidateLock = locks.computeIfAbsent(item, lockProvider).writeLock(); + candidateLock.lock(); + try { + graph.put( + HnswNode.from(layer, item), + ImmutableList.copyOf(connections) + ); + } finally { + candidateLock.unlock(); + } + } + + /** + * Reinsert the item into HNSW index. + * This method updates the links of an element assuming + * the element's distance function is changed externally (e.g. by updating the features) + */ + + public void reInsert(final T item) { + final HnswMeta metadata = graphMeta.get(); + + Optional entryPoint = metadata.getEntryPoint(); + + Preconditions.checkState(entryPoint.isPresent(), + "Update cannot be performed if entry point is not present"); + + // This is a check for the single element case + if (entryPoint.get().equals(item) && graph.isEmpty()) { + return; + } + + Preconditions.checkState(graph.containsKey(HnswNode.from(0, item)), + "Graph does not contain the item to be updated at level 0"); + + int curLevel = 0; + + int maxLevelCopy = metadata.getMaxLevel(); + + for (int layer = maxLevelCopy; layer >= 0; layer--) { + if (graph.containsKey(HnswNode.from(layer, item))) { + curLevel = layer; + break; + } + } + + // Updating the links of the elements from the 1-hop radius of the updated element + + for (int layer = 0; layer <= curLevel; layer++) { + + // Filling the element sets for candidates and updated elements + final HashSet setCand = new HashSet(); + final HashSet setNeigh = new HashSet(); + final List listOneHop = getConnectionListForRead(item, layer); + + if (listOneHop.isEmpty()) { + LOG.debug("No links for the updated element. Empty dataset?"); + continue; + } + + setCand.add(item); + + for (T elOneHop : listOneHop) { + setCand.add(elOneHop); + if (randomProvider.get().nextFloat() > updateNeighborProbability) { + continue; + } + setNeigh.add(elOneHop); + final List listTwoHop = getConnectionListForRead(elOneHop, layer); + + if (listTwoHop.isEmpty()) { + LOG.debug("No links for the updated element. Empty dataset?"); + } + + for (T oneHopEl : listTwoHop) { + setCand.add(oneHopEl); + } + } + // No need to update the item itself, so remove it + setNeigh.remove(item); + + // Updating the link lists of elements from setNeigh: + for (T neigh : setNeigh) { + final HashSet setCopy = new HashSet(setCand); + setCopy.remove(neigh); + int keepElementsNum = Math.min(efConstruction, setCopy.size()); + final DistancedItemQueue candidates = new DistancedItemQueue<>( + neigh, + ImmutableList.of(), + false, + distFnIndex + ); + for (T cand : setCopy) { + final float distance = distFnIndex.distance(neigh, cand); + if (candidates.size() < keepElementsNum) { + candidates.enqueue(cand, distance); + } else { + if (distance < candidates.peek().getDistance()) { + candidates.dequeue(); + candidates.enqueue(cand, distance); + } + } + } + final ImmutableList neighbours = selectNearestNeighboursByHeuristic( + candidates, + layer == 0 ? maxM0 : maxM + ); + + final List temp = getConnectionListForRead(neigh, layer); + if (temp.isEmpty()) { + LOG.debug("existing linkslist is empty. Corrupt index"); + } + if (neighbours.isEmpty()) { + LOG.debug("predicted linkslist is empty. Corrupt index"); + } + setConnectionList(neigh, layer, neighbours); + + } + + + } + wireConnectionForAllLayers(metadata.getEntryPoint().get(), item, curLevel, maxLevelCopy, true); + } + + /** + * This method can be used to get the graph statistics, specifically + * it prints the histogram of inbound connections for each element. + */ + private String getStats() { + int histogramMaxBins = 50; + int[] histogram = new int[histogramMaxBins]; + HashMap mmap = new HashMap(); + for (HnswNode key : graph.keySet()) { + if (key.level == 0) { + List linkList = getConnectionListForRead(key.item, key.level); + for (T node : linkList) { + int a = mmap.computeIfAbsent(node, k -> 0); + mmap.put(node, a + 1); + + } + } + } + + for (T key : mmap.keySet()) { + int ind = mmap.get(key) < histogramMaxBins - 1 ? mmap.get(key) : histogramMaxBins - 1; + histogram[ind]++; + } + int minNonZeroIndex; + for (minNonZeroIndex = histogramMaxBins - 1; minNonZeroIndex >= 0; minNonZeroIndex--) { + if (histogram[minNonZeroIndex] > 0) { + break; + } + } + + String output = ""; + for (int i = 0; i <= minNonZeroIndex; i++) { + output += "" + i + "\t" + histogram[i] / (0.01f * mmap.keySet().size()) + "\n"; + } + + return output; + } + + private int getRandomLevel() { + return (int) (-Math.log(randomProvider.get().nextDouble()) * levelMultiplier); + } + + /** + * Note that to avoid deadlocks it is important that this method is called after all the searches + * of the graph have completed. If you take a lock on any items discovered in the graph after + * this, you may get stuck waiting on a thread that is waiting for item to be fully inserted. + *

+ * Note: when using concurrent writers we can miss connections that we would otherwise get. + * This will reduce the recall. + *

+ * For a full explanation of locking see this document: http://go/hnsw-locking + * The method returns the closest nearest neighbor (can be used as an enter point) + */ + private T mutuallyConnectNewElement( + final T item, + final DistancedItemQueue candidates, // Max queue + final int level, + final boolean isUpdate + ) { + + // Using maxM here. Its implementation is ambiguous in HNSW paper, + // so using the way it is getting used in Hnsw lib. + final ImmutableList neighbours = selectNearestNeighboursByHeuristic(candidates, maxM); + setConnectionList(item, level, neighbours); + final int M = level == 0 ? maxM0 : maxM; + for (T nn : neighbours) { + if (nn.equals(item)) { + continue; + } + final Lock curLock = locks.computeIfAbsent(nn, lockProvider).writeLock(); + curLock.lock(); + try { + final HnswNode key = HnswNode.from(level, nn); + final ImmutableList connections = graph.getOrDefault(key, ImmutableList.of()); + final boolean isItemAlreadyPresent = + isUpdate && connections.indexOf(item) != -1 ? true : false; + + // If `item` is already present in the neighboring connections, + // then no need to modify any connections or run the search heuristics. + if (isItemAlreadyPresent) { + continue; + } + + final ImmutableList updatedConnections; + if (connections.size() < M) { + final List temp = new ArrayList<>(connections); + temp.add(item); + updatedConnections = ImmutableList.copyOf(temp.iterator()); + } else { + // Max Queue + final DistancedItemQueue queue = new DistancedItemQueue<>( + nn, + connections, + false, + distFnIndex + ); + queue.enqueue(item); + updatedConnections = selectNearestNeighboursByHeuristic(queue, M); + } + if (updatedConnections.isEmpty()) { + LOG.debug("Internal error: predicted linkslist is empty"); + } + + graph.put(key, updatedConnections); + } finally { + curLock.unlock(); + } + } + return neighbours.get(0); + } + + /* + * bestEntryPointUntilLayer starts the graph search for item from the entry point + * until the searches reaches the selectedLayer layer. + * @return a point from selectedLayer layer, was the closest on the (selectedLayer+1) layer + */ + private T bestEntryPointUntilLayer( + final T entryPoint, + final K item, + int maxLayer, + int selectedLayer, + DistanceFunction distFn + ) { + T curObj = entryPoint; + if (selectedLayer < maxLayer) { + float curDist = distFn.distance(item, curObj); + for (int level = maxLayer; level > selectedLayer; level--) { + boolean changed = true; + while (changed) { + changed = false; + final List list = getConnectionListForRead(curObj, level); + for (T nn : list) { + final float tempDist = distFn.distance(item, nn); + if (tempDist < curDist) { + curDist = tempDist; + curObj = nn; + changed = true; + } + } + } + } + } + + return curObj; + } + + + @VisibleForTesting + protected ImmutableList selectNearestNeighboursByHeuristic( + final DistancedItemQueue candidates, // Max queue + final int maxConnections + ) { + Preconditions.checkState(!candidates.isMinQueue(), + "candidates in selectNearestNeighboursByHeuristic should be a max queue"); + + final T baseElement = candidates.getOrigin(); + if (candidates.size() <= maxConnections) { + List list = candidates.toListWithItem(); + list.remove(baseElement); + return ImmutableList.copyOf(list); + } else { + final List resSet = new ArrayList<>(maxConnections); + // Min queue for closest elements first + final DistancedItemQueue minQueue = candidates.reverse(); + while (minQueue.nonEmpty()) { + if (resSet.size() >= maxConnections) { + break; + } + final DistancedItem candidate = minQueue.dequeue(); + + // We do not want to creates loops: + // While heuristic is used only for creating the links + if (candidate.getItem().equals(baseElement)) { + continue; + } + + boolean toInclude = true; + for (T e : resSet) { + // Do not include candidate if the distance from candidate to any of existing item in + // resSet is closer to the distance from the candidate to the item. By doing this, the + // connection of graph will be more diverse, and in case of highly clustered data set, + // connections will be made between clusters instead of all being in the same cluster. + final float dist = distFnIndex.distance(e, candidate.getItem()); + if (dist < candidate.getDistance()) { + toInclude = false; + break; + } + } + + if (toInclude) { + resSet.add(candidate.getItem()); + } + } + return ImmutableList.copyOf(resSet); + } + } + + /** + * Search the index for the neighbours. + * + * @param query Query + * @param numOfNeighbours Number of neighbours to search for. + * @param ef This param controls the accuracy of the search. + * Bigger the ef better the accuracy on the expense of latency. + * Keep it atleast number of neighbours to find. + * @return Neighbours + */ + public List> searchKnn(final Q query, final int numOfNeighbours, final int ef) { + final HnswMeta metadata = graphMeta.get(); + if (metadata.getEntryPoint().isPresent()) { + T entryPoint = bestEntryPointUntilLayer(metadata.getEntryPoint().get(), + query, metadata.getMaxLevel(), 0, distFnQuery); + // Get the actual neighbours from 0th layer + final List> neighbours = + searchLayerForCandidates(query, entryPoint, Math.max(ef, numOfNeighbours), + 0, distFnQuery, false).dequeueAll(); + Collections.reverse(neighbours); + return neighbours.size() > numOfNeighbours + ? neighbours.subList(0, numOfNeighbours) : neighbours; + } else { + return Collections.emptyList(); + } + } + + // This method is currently not used + // It is needed for debugging purposes only + private void checkIntegrity(String message) { + final HnswMeta metadata = graphMeta.get(); + for (HnswNode node : graph.keySet()) { + List linkList = graph.get(node); + + for (T el : linkList) { + if (el.equals(node.item)) { + LOG.debug(message); + throw new RuntimeException("integrity check failed"); + } + } + } + } + + private DistancedItemQueue searchLayerForCandidates( + final K item, + final T entryPoint, + final int ef, + final int level, + final DistanceFunction distFn, + boolean isUpdate + ) { + // Min queue + final DistancedItemQueue cQueue = new DistancedItemQueue<>( + item, + Collections.singletonList(entryPoint), + true, + distFn + ); + // Max Queue + final DistancedItemQueue wQueue = cQueue.reverse(); + final Set visited = new HashSet<>(); + float lowerBoundDistance = wQueue.peek().getDistance(); + visited.add(entryPoint); + + while (cQueue.nonEmpty()) { + final DistancedItem candidate = cQueue.peek(); + if (candidate.getDistance() > lowerBoundDistance) { + break; + } + + cQueue.dequeue(); + final List list = getConnectionListForRead(candidate.getItem(), level); + for (T nn : list) { + if (!visited.contains(nn)) { + visited.add(nn); + final float distance = distFn.distance(item, nn); + if (wQueue.size() < ef || distance < wQueue.peek().getDistance()) { + cQueue.enqueue(nn, distance); + + if (isUpdate && item.equals(nn)) { + continue; + } + + wQueue.enqueue(nn, distance); + if (wQueue.size() > ef) { + wQueue.dequeue(); + } + + lowerBoundDistance = wQueue.peek().getDistance(); + } + } + } + } + + return wQueue; + } + + /** + * Serialize hnsw index + */ + public void toDirectory(IndexOutputFile indexOutputFile, Injection injection) + throws IOException, TException { + final int totalGraphEntries = HnswIndexIOUtil.saveHnswGraphEntries( + graph, + indexOutputFile.createFile(GRAPH_FILE_NAME).getOutputStream(), + injection); + + HnswIndexIOUtil.saveMetadata( + graphMeta.get(), + efConstruction, + maxM, + totalGraphEntries, + injection, + indexOutputFile.createFile(METADATA_FILE_NAME).getOutputStream()); +} + + /** + * Load hnsw index + */ + public static HnswIndex loadHnswIndex( + DistanceFunction distFnIndex, + DistanceFunction distFnQuery, + AbstractFile directory, + Injection injection, + RandomProvider randomProvider) throws IOException, TException { + final AbstractFile graphFile = directory.getChild(GRAPH_FILE_NAME); + final AbstractFile metadataFile = directory.getChild(METADATA_FILE_NAME); + final HnswInternalIndexMetadata metadata = HnswIndexIOUtil.loadMetadata(metadataFile); + final Map, ImmutableList> graph = + HnswIndexIOUtil.loadHnswGraph(graphFile, injection, metadata.numElements); + final ByteBuffer entryPointBB = metadata.entryPoint; + final HnswMeta graphMeta = new HnswMeta<>( + metadata.maxLevel, + entryPointBB == null ? Optional.empty() + : Optional.of(injection.invert(ArrayByteBufferCodec.decode(entryPointBB)).get()) + ); + return new HnswIndex<>( + distFnIndex, + distFnQuery, + metadata.efConstruction, + metadata.maxM, + metadata.numElements, + graphMeta, + graph, + randomProvider + ); + } + + private List getConnectionListForRead(T node, int level) { + final Lock curLock = locks.computeIfAbsent(node, lockProvider).readLock(); + curLock.lock(); + final List list; + try { + list = graph + .getOrDefault(HnswNode.from(level, node), ImmutableList.of()); + } finally { + curLock.unlock(); + } + + return list; + } + + @VisibleForTesting + AtomicReference> getGraphMeta() { + return graphMeta; + } + + @VisibleForTesting + Map getLocks() { + return locks; + } + + @VisibleForTesting + Map, ImmutableList> getGraph() { + return graph; + } + + public interface RandomProvider { + /** + * RandomProvider interface made public for scala 2.12 compat + */ + Random get(); + } +} diff --git a/ann/src/main/java/com/twitter/ann/hnsw/HnswIndexIOUtil.java b/ann/src/main/java/com/twitter/ann/hnsw/HnswIndexIOUtil.java new file mode 100644 index 000000000..fba2dc55a --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/HnswIndexIOUtil.java @@ -0,0 +1,133 @@ +package com.twitter.ann.hnsw; + +import java.io.IOException; +import java.io.InputStream; +import java.io.OutputStream; +import java.nio.ByteBuffer; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.stream.Collectors; + +import com.google.common.collect.ImmutableList; + +import org.apache.thrift.TDeserializer; +import org.apache.thrift.TException; +import org.apache.thrift.TSerializer; +import org.apache.thrift.protocol.TBinaryProtocol; +import org.apache.thrift.protocol.TProtocol; +import org.apache.thrift.transport.TIOStreamTransport; +import org.apache.thrift.transport.TTransportException; + +import com.twitter.ann.common.thriftjava.HnswGraphEntry; +import com.twitter.ann.common.thriftjava.HnswInternalIndexMetadata; +import com.twitter.bijection.Injection; +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec; +import com.twitter.search.common.file.AbstractFile; + +public final class HnswIndexIOUtil { + private HnswIndexIOUtil() { + } + + /** + * Save thrift object in file + */ + public static void saveMetadata( + HnswMeta graphMeta, + int efConstruction, + int maxM, + int numElements, + Injection injection, + OutputStream outputStream + ) throws IOException, TException { + final int maxLevel = graphMeta.getMaxLevel(); + final HnswInternalIndexMetadata metadata = new HnswInternalIndexMetadata( + maxLevel, + efConstruction, + maxM, + numElements + ); + + if (graphMeta.getEntryPoint().isPresent()) { + metadata.setEntryPoint(injection.apply(graphMeta.getEntryPoint().get())); + } + final TSerializer serializer = new TSerializer(new TBinaryProtocol.Factory()); + outputStream.write(serializer.serialize(metadata)); + outputStream.close(); + } + + /** + * Load Hnsw index metadata + */ + public static HnswInternalIndexMetadata loadMetadata(AbstractFile file) + throws IOException, TException { + final HnswInternalIndexMetadata obj = new HnswInternalIndexMetadata(); + final TDeserializer deserializer = new TDeserializer(new TBinaryProtocol.Factory()); + deserializer.deserialize(obj, file.getByteSource().read()); + return obj; + } + + /** + * Load Hnsw graph entries from file + */ + public static Map, ImmutableList> loadHnswGraph( + AbstractFile file, + Injection injection, + int numElements + ) throws IOException, TException { + final InputStream stream = file.getByteSource().openBufferedStream(); + final TProtocol protocol = new TBinaryProtocol(new TIOStreamTransport(stream)); + final Map, ImmutableList> graph = + new HashMap<>(numElements); + while (true) { + try { + final HnswGraphEntry entry = new HnswGraphEntry(); + entry.read(protocol); + final HnswNode node = HnswNode.from(entry.level, + injection.invert(ArrayByteBufferCodec.decode(entry.key)).get()); + final List list = entry.getNeighbours().stream() + .map(bb -> injection.invert(ArrayByteBufferCodec.decode(bb)).get()) + .collect(Collectors.toList()); + graph.put(node, ImmutableList.copyOf(list.iterator())); + } catch (TException e) { + if (e instanceof TTransportException + && TTransportException.class.cast(e).getType() == TTransportException.END_OF_FILE) { + stream.close(); + break; + } + stream.close(); + throw e; + } + } + + return graph; + } + + /** + * Save hnsw graph in file + * + * @return number of keys in the graph + */ + public static int saveHnswGraphEntries( + Map, ImmutableList> graph, + OutputStream outputStream, + Injection injection + ) throws IOException, TException { + final TProtocol protocol = new TBinaryProtocol(new TIOStreamTransport(outputStream)); + final Set> nodes = graph.keySet(); + for (HnswNode node : nodes) { + final HnswGraphEntry entry = new HnswGraphEntry(); + entry.setLevel(node.level); + entry.setKey(injection.apply(node.item)); + final List nn = graph.getOrDefault(node, ImmutableList.of()).stream() + .map(t -> ByteBuffer.wrap(injection.apply(t))) + .collect(Collectors.toList()); + entry.setNeighbours(nn); + entry.write(protocol); + } + + outputStream.close(); + return nodes.size(); + } +} diff --git a/ann/src/main/java/com/twitter/ann/hnsw/HnswMeta.java b/ann/src/main/java/com/twitter/ann/hnsw/HnswMeta.java new file mode 100644 index 000000000..c990c4bbc --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/HnswMeta.java @@ -0,0 +1,45 @@ +package com.twitter.ann.hnsw; + +import java.util.Objects; +import java.util.Optional; + +class HnswMeta { + private final int maxLevel; + private final Optional entryPoint; + + HnswMeta(int maxLevel, Optional entryPoint) { + this.maxLevel = maxLevel; + this.entryPoint = entryPoint; + } + + public int getMaxLevel() { + return maxLevel; + } + + public Optional getEntryPoint() { + return entryPoint; + } + + @Override + public boolean equals(Object o) { + if (this == o) { + return true; + } + if (o == null || getClass() != o.getClass()) { + return false; + } + HnswMeta hnswMeta = (HnswMeta) o; + return maxLevel == hnswMeta.maxLevel + && Objects.equals(entryPoint, hnswMeta.entryPoint); + } + + @Override + public int hashCode() { + return Objects.hash(maxLevel, entryPoint); + } + + @Override + public String toString() { + return "HnswMeta{maxLevel=" + maxLevel + ", entryPoint=" + entryPoint + '}'; + } +} diff --git a/ann/src/main/java/com/twitter/ann/hnsw/HnswNode.java b/ann/src/main/java/com/twitter/ann/hnsw/HnswNode.java new file mode 100644 index 000000000..95819214c --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/HnswNode.java @@ -0,0 +1,45 @@ +package com.twitter.ann.hnsw; + +import org.apache.commons.lang.builder.EqualsBuilder; +import org.apache.commons.lang.builder.HashCodeBuilder; + +public class HnswNode { + public final int level; + public final T item; + + public HnswNode(int level, T item) { + this.level = level; + this.item = item; + } + + /** + * Create a hnsw node. + */ + public static HnswNode from(int level, T item) { + return new HnswNode<>(level, item); + } + + @Override + public boolean equals(Object o) { + if (o == this) { + return true; + } + if (!(o instanceof HnswNode)) { + return false; + } + + HnswNode that = (HnswNode) o; + return new EqualsBuilder() + .append(this.item, that.item) + .append(this.level, that.level) + .isEquals(); + } + + @Override + public int hashCode() { + return new HashCodeBuilder() + .append(item) + .append(level) + .toHashCode(); + } +} diff --git a/ann/src/main/java/com/twitter/ann/hnsw/IllegalDuplicateInsertException.java b/ann/src/main/java/com/twitter/ann/hnsw/IllegalDuplicateInsertException.java new file mode 100644 index 000000000..634dc63f6 --- /dev/null +++ b/ann/src/main/java/com/twitter/ann/hnsw/IllegalDuplicateInsertException.java @@ -0,0 +1,7 @@ +package com.twitter.ann.hnsw; + +public class IllegalDuplicateInsertException extends Exception { + public IllegalDuplicateInsertException(String message) { + super(message); + } +} diff --git a/ann/src/main/python/dataflow/BUILD.bazel b/ann/src/main/python/dataflow/BUILD.bazel new file mode 100644 index 000000000..44eeb72e2 --- /dev/null +++ b/ann/src/main/python/dataflow/BUILD.bazel @@ -0,0 +1,38 @@ +resources( + name = "sql", + sources = ["bq.sql"], +) + +python3_library( + name = "faiss_indexing", + sources = ["**/*.py"], + tags = ["bazel-compatible"], + dependencies = [ + ":sql", + "3rdparty/python/apache-beam:default", + "3rdparty/python/faiss-gpu:default", + "3rdparty/python/gcsfs:default", + "3rdparty/python/google-cloud-bigquery:default", + "3rdparty/python/google-cloud-storage", + "3rdparty/python/numpy:default", + "3rdparty/python/pandas:default", + "3rdparty/python/pandas-gbq:default", + "3rdparty/python/pyarrow:default", + "src/python/twitter/ml/common/apache_beam", + ], +) + +python37_binary( + name = "faiss_indexing_bin", + sources = ["faiss_index_bq_dataset.py"], + platforms = [ + "current", + "linux_x86_64", + ], + tags = ["no-mypy"], + zip_safe = False, + dependencies = [ + ":faiss_indexing", + "3rdparty/python/_closures/ann/src/main/python/dataflow:faiss_indexing_bin", + ], +) diff --git a/ann/src/main/python/dataflow/bq.sql b/ann/src/main/python/dataflow/bq.sql new file mode 100644 index 000000000..809184bb2 --- /dev/null +++ b/ann/src/main/python/dataflow/bq.sql @@ -0,0 +1,6 @@ +WITH maxts as (SELECT as value MAX(ts) as ts FROM `twttr-recos-ml-prod.ssedhain.twhin_tweet_avg_embedding`) +SELECT entityId, embedding +FROM `twttr-recos-ml-prod.ssedhain.twhin_tweet_avg_embedding` +WHERE ts >= (select max(maxts) from maxts) +AND DATE(TIMESTAMP_MILLIS(createdAt)) <= (select max(maxts) from maxts) +AND DATE(TIMESTAMP_MILLIS(createdAt)) >= DATE_SUB((select max(maxts) from maxts), INTERVAL 1 DAY) \ No newline at end of file diff --git a/ann/src/main/python/dataflow/faiss_index_bq_dataset.py b/ann/src/main/python/dataflow/faiss_index_bq_dataset.py new file mode 100644 index 000000000..1863cabef --- /dev/null +++ b/ann/src/main/python/dataflow/faiss_index_bq_dataset.py @@ -0,0 +1,232 @@ +import argparse +import logging +import os +import pkgutil +import sys +from urllib.parse import urlsplit + +import apache_beam as beam +from apache_beam.options.pipeline_options import PipelineOptions +import faiss + + +def parse_d6w_config(argv=None): + """Parse d6w config. + :param argv: d6w config + :return: dictionary containing d6w config + """ + + parser = argparse.ArgumentParser( + description="See https://docbird.twitter.biz/d6w/model.html for any parameters inherited from d6w job config" + ) + parser.add_argument("--job_name", dest="job_name", required=True, help="d6w attribute") + parser.add_argument("--project", dest="project", required=True, help="d6w attribute") + parser.add_argument( + "--staging_location", dest="staging_location", required=True, help="d6w attribute" + ) + parser.add_argument("--temp_location", dest="temp_location", required=True, help="d6w attribute") + parser.add_argument( + "--output_location", + dest="output_location", + required=True, + help="GCS bucket and path where resulting artifacts are uploaded", + ) + parser.add_argument( + "--service_account_email", dest="service_account_email", required=True, help="d6w attribute" + ) + parser.add_argument( + "--factory_string", + dest="factory_string", + required=False, + help="FAISS factory string describing index to build. See https://github.com/facebookresearch/faiss/wiki/The-index-factory", + ) + parser.add_argument( + "--metric", + dest="metric", + required=True, + help="Metric used to compute distance between embeddings. Valid values are 'l2', 'ip', 'l1', 'linf'", + ) + parser.add_argument( + "--use_gpu", + dest="gpu", + required=True, + help="--use_gpu=yes if you want to use GPU during index building", + ) + + known_args, unknown_args = parser.parse_known_args(argv) + d6w_config = vars(known_args) + d6w_config["gpu"] = d6w_config["gpu"].lower() == "yes" + d6w_config["metric"] = parse_metric(d6w_config) + + """ + WARNING: Currently, d6w (a Twitter tool used to deploy Dataflow jobs to GCP) and + PipelineOptions.for_dataflow_runner (a helper method in twitter.ml.common.apache_beam) do not + play nicely together. The helper method will overwrite some of the config specified in the d6w + file using the defaults in https://sourcegraph.twitter.biz/git.twitter.biz/source/-/blob/src/python/twitter/ml/common/apache_beam/__init__.py?L24.' + However, the d6w output message will still report that the config specified in the d6w file was used. + """ + logging.warning( + f"The following d6w config parameters will be overwritten by the defaults in " + f"https://sourcegraph.twitter.biz/git.twitter.biz/source/-/blob/src/python/twitter/ml/common/apache_beam/__init__.py?L24\n" + f"{str(unknown_args)}" + ) + return d6w_config + + +def get_bq_query(): + """ + Query is expected to return rows with unique entityId + """ + return pkgutil.get_data(__name__, "bq.sql").decode("utf-8") + + +def parse_metric(config): + metric_str = config["metric"].lower() + if metric_str == "l2": + return faiss.METRIC_L2 + elif metric_str == "ip": + return faiss.METRIC_INNER_PRODUCT + elif metric_str == "l1": + return faiss.METRIC_L1 + elif metric_str == "linf": + return faiss.METRIC_Linf + else: + raise Exception(f"Uknown metric: {metric_str}") + + +def run_pipeline(argv=[]): + config = parse_d6w_config(argv) + argv_with_extras = argv + if config["gpu"]: + argv_with_extras.extend(["--experiments", "use_runner_v2"]) + argv_with_extras.extend( + ["--experiments", "worker_accelerator=type:nvidia-tesla-t4;count:1;install-nvidia-driver"] + ) + argv_with_extras.extend( + [ + "--worker_harness_container_image", + "gcr.io/twttr-recos-ml-prod/dataflow-gpu/beam2_39_0_py3_7", + ] + ) + + options = PipelineOptions(argv_with_extras) + output_bucket_name = urlsplit(config["output_location"]).netloc + + with beam.Pipeline(options=options) as p: + input_data = p | "Read from BigQuery" >> beam.io.ReadFromBigQuery( + method=beam.io.ReadFromBigQuery.Method.DIRECT_READ, + query=get_bq_query(), + use_standard_sql=True, + ) + + index_built = input_data | "Build and upload index" >> beam.CombineGlobally( + MergeAndBuildIndex( + output_bucket_name, + config["output_location"], + config["factory_string"], + config["metric"], + config["gpu"], + ) + ) + + # Make linter happy + index_built + + +class MergeAndBuildIndex(beam.CombineFn): + def __init__(self, bucket_name, gcs_output_path, factory_string, metric, gpu): + self.bucket_name = bucket_name + self.gcs_output_path = gcs_output_path + self.factory_string = factory_string + self.metric = metric + self.gpu = gpu + + def create_accumulator(self): + return [] + + def add_input(self, accumulator, element): + accumulator.append(element) + return accumulator + + def merge_accumulators(self, accumulators): + merged = [] + for accum in accumulators: + merged.extend(accum) + return merged + + def extract_output(self, rows): + # Reimports are needed on workers + import glob + import subprocess + + import faiss + from google.cloud import storage + import numpy as np + + client = storage.Client() + bucket = client.get_bucket(self.bucket_name) + + logging.info("Building FAISS index") + logging.info(f"There are {len(rows)} rows") + + ids = np.array([x["entityId"] for x in rows]).astype("long") + embeds = np.array([x["embedding"] for x in rows]).astype("float32") + dimensions = len(embeds[0]) + N = ids.shape[0] + logging.info(f"There are {dimensions} dimensions") + + if self.factory_string is None: + M = 48 + + divideable_dimensions = (dimensions // M) * M + if divideable_dimensions != dimensions: + opq_prefix = f"OPQ{M}_{divideable_dimensions}" + else: + opq_prefix = f"OPQ{M}" + + clusters = N // 20 + self.factory_string = f"{opq_prefix},IVF{clusters},PQ{M}" + + logging.info(f"Factory string is {self.factory_string}, metric={self.metric}") + + if self.gpu: + logging.info("Using GPU") + + res = faiss.StandardGpuResources() + cpu_index = faiss.index_factory(dimensions, self.factory_string, self.metric) + cpu_index = faiss.IndexIDMap(cpu_index) + gpu_index = faiss.index_cpu_to_gpu(res, 0, cpu_index) + gpu_index.train(embeds) + gpu_index.add_with_ids(embeds, ids) + cpu_index = faiss.index_gpu_to_cpu(gpu_index) + else: + logging.info("Using CPU") + + cpu_index = faiss.index_factory(dimensions, self.factory_string, self.metric) + cpu_index = faiss.IndexIDMap(cpu_index) + cpu_index.train(embeds) + cpu_index.add_with_ids(embeds, ids) + + logging.info("Built faiss index") + + local_path = "/indices" + logging.info(f"Writing indices to local {local_path}") + subprocess.run(f"mkdir -p {local_path}".strip().split()) + local_index_path = os.path.join(local_path, "result.index") + + faiss.write_index(cpu_index, local_index_path) + logging.info(f"Done writing indices to local {local_path}") + + logging.info(f"Uploading to GCS with path {self.gcs_output_path}") + assert os.path.isdir(local_path) + for local_file in glob.glob(local_path + "/*"): + remote_path = os.path.join( + self.gcs_output_path.split("/")[-1], local_file[1 + len(local_path) :] + ) + blob = bucket.blob(remote_path) + blob.upload_from_filename(local_file) + + +if __name__ == "__main__": + logging.getLogger().setLevel(logging.INFO) + run_pipeline(sys.argv) diff --git a/ann/src/main/python/dataflow/worker_harness/Dockerfile b/ann/src/main/python/dataflow/worker_harness/Dockerfile new file mode 100644 index 000000000..c5f56e231 --- /dev/null +++ b/ann/src/main/python/dataflow/worker_harness/Dockerfile @@ -0,0 +1,34 @@ +FROM --platform=linux/amd64 nvidia/cuda:11.2.2-cudnn8-runtime-ubuntu20.04 + +RUN \ + # Add Deadsnakes repository that has a variety of Python packages for Ubuntu. + # See: https://launchpad.net/~deadsnakes/+archive/ubuntu/ppa + apt-key adv --keyserver keyserver.ubuntu.com --recv-keys F23C5A6CF475977595C89F51BA6932366A755776 \ + && echo "deb http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal main" >> /etc/apt/sources.list.d/custom.list \ + && echo "deb-src http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal main" >> /etc/apt/sources.list.d/custom.list \ + && apt-get update \ + && apt-get install -y curl \ + python3.7 \ + # With python3.8 package, distutils need to be installed separately. + python3.7-distutils \ + python3-dev \ + python3.7-dev \ + libpython3.7-dev \ + python3-apt \ + gcc \ + g++ \ + && rm -rf /var/lib/apt/lists/* +RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.7 10 +RUN rm -f /usr/bin/python3 && ln -s /usr/bin/python3.7 /usr/bin/python3 +RUN \ + curl https://bootstrap.pypa.io/get-pip.py | python \ + && pip3 install pip==22.0.3 \ + && python3 -m pip install --no-cache-dir apache-beam[gcp]==2.39.0 +# Verify that there are no conflicting dependencies. +RUN pip3 check + +# Copy the Apache Beam worker dependencies from the Beam Python 3.7 SDK image. +COPY --from=apache/beam_python3.7_sdk:2.39.0 /opt/apache/beam /opt/apache/beam + +# Set the entrypoint to Apache Beam SDK worker launcher. +ENTRYPOINT [ "/opt/apache/beam/boot" ] \ No newline at end of file diff --git a/ann/src/main/python/dataflow/worker_harness/cloudbuild.yml b/ann/src/main/python/dataflow/worker_harness/cloudbuild.yml new file mode 100644 index 000000000..34aab720f --- /dev/null +++ b/ann/src/main/python/dataflow/worker_harness/cloudbuild.yml @@ -0,0 +1,6 @@ +steps: +- name: 'gcr.io/cloud-builders/docker' + args: ['build', '-t', 'gcr.io/twttr-recos-ml-prod/dataflow-gpu/beam2_39_0_py3_7', '.'] +- name: 'gcr.io/cloud-builders/docker' + args: ['push', 'gcr.io/twttr-recos-ml-prod/dataflow-gpu/beam2_39_0_py3_7'] +images: ['gcr.io/twttr-recos-ml-prod/dataflow-gpu/beam2_39_0_py3_7'] \ No newline at end of file diff --git a/ann/src/main/scala/com/twitter/ann/annoy/AnnoyCommon.scala b/ann/src/main/scala/com/twitter/ann/annoy/AnnoyCommon.scala new file mode 100644 index 000000000..ffe035c48 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/annoy/AnnoyCommon.scala @@ -0,0 +1,44 @@ +package com.twitter.ann.annoy + +import com.twitter.ann.common.RuntimeParams +import com.twitter.ann.common.thriftscala.AnnoyIndexMetadata +import com.twitter.bijection.Injection +import com.twitter.mediaservices.commons.codec.ThriftByteBufferCodec +import com.twitter.ann.common.thriftscala.{AnnoyRuntimeParam, RuntimeParams => ServiceRuntimeParams} +import scala.util.{Failure, Success, Try} + +object AnnoyCommon { + private[annoy] lazy val MetadataCodec = new ThriftByteBufferCodec(AnnoyIndexMetadata) + private[annoy] val IndexFileName = "annoy_index" + private[annoy] val MetaDataFileName = "annoy_index_metadata" + private[annoy] val IndexIdMappingFileName = "annoy_index_id_mapping" + + val RuntimeParamsInjection: Injection[AnnoyRuntimeParams, ServiceRuntimeParams] = + new Injection[AnnoyRuntimeParams, ServiceRuntimeParams] { + override def apply(scalaParams: AnnoyRuntimeParams): ServiceRuntimeParams = { + ServiceRuntimeParams.AnnoyParam( + AnnoyRuntimeParam( + scalaParams.nodesToExplore + ) + ) + } + + override def invert(thriftParams: ServiceRuntimeParams): Try[AnnoyRuntimeParams] = + thriftParams match { + case ServiceRuntimeParams.AnnoyParam(annoyParam) => + Success( + AnnoyRuntimeParams(annoyParam.numOfNodesToExplore) + ) + case p => Failure(new IllegalArgumentException(s"Expected AnnoyRuntimeParams got $p")) + } + } +} + +case class AnnoyRuntimeParams( + /* Number of vectors to evaluate while searching. A larger value will give more accurate results, but will take longer time to return. + * Default value would be numberOfTrees*numberOfNeigboursRequested + */ + nodesToExplore: Option[Int]) + extends RuntimeParams { + override def toString: String = s"AnnoyRuntimeParams( nodesToExplore = $nodesToExplore)" +} diff --git a/ann/src/main/scala/com/twitter/ann/annoy/BUILD b/ann/src/main/scala/com/twitter/ann/annoy/BUILD new file mode 100644 index 000000000..fb882dac2 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/annoy/BUILD @@ -0,0 +1,23 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/spotify:annoy-java", + "3rdparty/jvm/com/spotify:annoy-snapshot", + "3rdparty/jvm/com/twitter/storehaus:core", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/file_store", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "mediaservices/commons", + "src/java/com/twitter/search/common/file", + "src/scala/com/twitter/ml/api/embedding", + ], + exports = [ + "ann/src/main/scala/com/twitter/ann/common", + "src/java/com/twitter/common_internal/hadoop", + "src/java/com/twitter/search/common/file", + "src/scala/com/twitter/ml/api/embedding", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/annoy/RawAnnoyIndexBuilder.scala b/ann/src/main/scala/com/twitter/ann/annoy/RawAnnoyIndexBuilder.scala new file mode 100644 index 000000000..d1f889a96 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/annoy/RawAnnoyIndexBuilder.scala @@ -0,0 +1,123 @@ +package com.twitter.ann.annoy + +import com.spotify.annoy.jni.base.{Annoy => AnnoyLib} +import com.twitter.ann.annoy.AnnoyCommon.IndexFileName +import com.twitter.ann.annoy.AnnoyCommon.MetaDataFileName +import com.twitter.ann.annoy.AnnoyCommon.MetadataCodec +import com.twitter.ann.common.EmbeddingType._ +import com.twitter.ann.common._ +import com.twitter.ann.common.thriftscala.AnnoyIndexMetadata +import com.twitter.concurrent.AsyncSemaphore +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.LocalFile +import com.twitter.util.Future +import com.twitter.util.FuturePool +import java.io.File +import java.nio.file.Files +import org.apache.beam.sdk.io.fs.ResourceId +import scala.collection.JavaConverters._ + +private[annoy] object RawAnnoyIndexBuilder { + private[annoy] def apply[D <: Distance[D]]( + dimension: Int, + numOfTrees: Int, + metric: Metric[D], + futurePool: FuturePool + ): RawAppendable[AnnoyRuntimeParams, D] with Serialization = { + val indexBuilder = AnnoyLib.newIndex(dimension, annoyMetric(metric)) + new RawAnnoyIndexBuilder(dimension, numOfTrees, metric, indexBuilder, futurePool) + } + + private[this] def annoyMetric(metric: Metric[_]): AnnoyLib.Metric = { + metric match { + case L2 => AnnoyLib.Metric.EUCLIDEAN + case Cosine => AnnoyLib.Metric.ANGULAR + case _ => throw new RuntimeException("Not supported: " + metric) + } + } +} + +private[this] class RawAnnoyIndexBuilder[D <: Distance[D]]( + dimension: Int, + numOfTrees: Int, + metric: Metric[D], + indexBuilder: AnnoyLib.Builder, + futurePool: FuturePool) + extends RawAppendable[AnnoyRuntimeParams, D] + with Serialization { + private[this] var counter = 0 + // Note: Only one thread can access the underlying index, multithreaded index building not supported + private[this] val semaphore = new AsyncSemaphore(1) + + override def append(embedding: EmbeddingVector): Future[Long] = + semaphore.acquireAndRun({ + counter += 1 + indexBuilder.addItem( + counter, + embedding.toArray + .map(float => float2Float(float)) + .toList + .asJava + ) + + Future.value(counter) + }) + + override def toQueryable: Queryable[Long, AnnoyRuntimeParams, D] = { + val tempDirParent = Files.createTempDirectory("raw_annoy_index").toFile + tempDirParent.deleteOnExit + val tempDir = new LocalFile(tempDirParent) + this.toDirectory(tempDir) + RawAnnoyQueryIndex( + dimension, + metric, + futurePool, + tempDir + ) + } + + override def toDirectory(directory: ResourceId): Unit = { + toDirectory(new IndexOutputFile(directory)) + } + + /** + * Serialize the annoy index in a directory. + * @param directory: Directory to save to. + */ + override def toDirectory(directory: AbstractFile): Unit = { + toDirectory(new IndexOutputFile(directory)) + } + + private def toDirectory(directory: IndexOutputFile): Unit = { + val indexFile = directory.createFile(IndexFileName) + saveIndex(indexFile) + + val metaDataFile = directory.createFile(MetaDataFileName) + saveMetadata(metaDataFile) + } + + private[this] def saveIndex(indexFile: IndexOutputFile): Unit = { + val index = indexBuilder + .build(numOfTrees) + val temp = new LocalFile(File.createTempFile(IndexFileName, null)) + index.save(temp.getPath) + indexFile.copyFrom(temp.getByteSource.openStream()) + temp.delete() + } + + private[this] def saveMetadata(metadataFile: IndexOutputFile): Unit = { + val numberOfVectorsIndexed = counter + val metadata = AnnoyIndexMetadata( + dimension, + Metric.toThrift(metric), + numOfTrees, + numberOfVectorsIndexed + ) + val bytes = ArrayByteBufferCodec.decode(MetadataCodec.encode(metadata)) + val temp = new LocalFile(File.createTempFile(MetaDataFileName, null)) + temp.getByteSink.write(bytes) + metadataFile.copyFrom(temp.getByteSource.openStream()) + temp.delete() + } +} diff --git a/ann/src/main/scala/com/twitter/ann/annoy/RawAnnoyQueryIndex.scala b/ann/src/main/scala/com/twitter/ann/annoy/RawAnnoyQueryIndex.scala new file mode 100644 index 000000000..9fc65ddf7 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/annoy/RawAnnoyQueryIndex.scala @@ -0,0 +1,142 @@ +package com.twitter.ann.annoy + +import com.spotify.annoy.{ANNIndex, IndexType} +import com.twitter.ann.annoy.AnnoyCommon._ +import com.twitter.ann.common._ +import com.twitter.ann.common.EmbeddingType._ +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import com.twitter.search.common.file.{AbstractFile, LocalFile} +import com.twitter.util.{Future, FuturePool} +import java.io.File +import scala.collection.JavaConverters._ + +private[annoy] object RawAnnoyQueryIndex { + private[annoy] def apply[D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + futurePool: FuturePool, + directory: AbstractFile + ): Queryable[Long, AnnoyRuntimeParams, D] = { + val metadataFile = directory.getChild(MetaDataFileName) + val indexFile = directory.getChild(IndexFileName) + val metadata = MetadataCodec.decode( + ArrayByteBufferCodec.encode(metadataFile.getByteSource.read()) + ) + + val existingDimension = metadata.dimension + assert( + existingDimension == dimension, + s"Dimensions do not match. requested: $dimension existing: $existingDimension" + ) + + val existingMetric = Metric.fromThrift(metadata.distanceMetric) + assert( + existingMetric == metric, + s"DistanceMetric do not match. requested: $metric existing: $existingMetric" + ) + + val index = loadIndex(indexFile, dimension, annoyMetric(metric)) + new RawAnnoyQueryIndex[D]( + dimension, + metric, + metadata.numOfTrees, + index, + futurePool + ) + } + + private[this] def annoyMetric(metric: Metric[_]): IndexType = { + metric match { + case L2 => IndexType.EUCLIDEAN + case Cosine => IndexType.ANGULAR + case _ => throw new RuntimeException("Not supported: " + metric) + } + } + + private[this] def loadIndex( + indexFile: AbstractFile, + dimension: Int, + indexType: IndexType + ): ANNIndex = { + var localIndexFile = indexFile + + // If not a local file copy to local, so that it can be memory mapped. + if (!indexFile.isInstanceOf[LocalFile]) { + val tempFile = File.createTempFile(IndexFileName, null) + tempFile.deleteOnExit() + + val temp = new LocalFile(tempFile) + indexFile.copyTo(temp) + localIndexFile = temp + } + + new ANNIndex( + dimension, + localIndexFile.getPath(), + indexType + ) + } +} + +private[this] class RawAnnoyQueryIndex[D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + numOfTrees: Int, + index: ANNIndex, + futurePool: FuturePool) + extends Queryable[Long, AnnoyRuntimeParams, D] + with AutoCloseable { + override def query( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: AnnoyRuntimeParams + ): Future[List[Long]] = { + queryWithDistance(embedding, numOfNeighbours, runtimeParams) + .map(_.map(_.neighbor)) + } + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: AnnoyRuntimeParams + ): Future[List[NeighborWithDistance[Long, D]]] = { + futurePool { + val queryVector = embedding.toArray + val neigboursToRequest = neighboursToRequest(numOfNeighbours, runtimeParams) + val neigbours = index + .getNearestWithDistance(queryVector, neigboursToRequest) + .asScala + .take(numOfNeighbours) + .map { nn => + val id = nn.getFirst.toLong + val distance = metric.fromAbsoluteDistance(nn.getSecond) + NeighborWithDistance(id, distance) + } + .toList + + neigbours + } + } + + // Annoy java lib do not expose param for numOfNodesToExplore. + // Default number is numOfTrees*numOfNeigbours. + // Simple hack is to artificially increase the numOfNeighbours to be requested and then just cap it before returning. + private[this] def neighboursToRequest( + numOfNeighbours: Int, + annoyParams: AnnoyRuntimeParams + ): Int = { + annoyParams.nodesToExplore match { + case Some(nodesToExplore) => { + val neigboursToRequest = nodesToExplore / numOfTrees + if (neigboursToRequest < numOfNeighbours) + numOfNeighbours + else + neigboursToRequest + } + case _ => numOfNeighbours + } + } + + // To close the memory map based file resource. + override def close(): Unit = index.close() +} diff --git a/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyIndex.scala b/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyIndex.scala new file mode 100644 index 000000000..e686bbe5e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyIndex.scala @@ -0,0 +1,55 @@ +package com.twitter.ann.annoy + +import com.twitter.ann.common._ +import com.twitter.bijection.Injection +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.FuturePool + +// Class to provide Annoy based ann index. +object TypedAnnoyIndex { + + /** + * Create Annoy based typed index builder that serializes index to a directory (HDFS/Local file system). + * It cannot be used in scalding as it leverage C/C++ jni bindings, whose build conflicts with version of some libs installed on hadoop. + * You can use it on aurora or with IndexBuilding job which triggers scalding job but then streams data to aurora machine for building index. + * @param dimension dimension of embedding + * @param numOfTrees builds a forest of numOfTrees trees. + * More trees gives higher precision when querying at the cost of increased memory and disk storage requirement at the build time. + * At runtime the index will be memory mapped, so memory wont be an issue but disk storage would be needed. + * @param metric distance metric for nearest neighbour search + * @param injection Injection to convert bytes to Id. + * @tparam T Type of Id for embedding + * @tparam D Typed Distance + * @return Serializable AnnoyIndex + */ + def indexBuilder[T, D <: Distance[D]]( + dimension: Int, + numOfTrees: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + futurePool: FuturePool + ): Appendable[T, AnnoyRuntimeParams, D] with Serialization = { + TypedAnnoyIndexBuilderWithFile(dimension, numOfTrees, metric, injection, futurePool) + } + + /** + * Load Annoy based queryable index from a directory + * @param dimension dimension of embedding + * @param metric distance metric for nearest neighbour search + * @param injection Injection to convert bytes to Id. + * @param futurePool FuturePool + * @param directory Directory (HDFS/Local file system) where serialized index is stored. + * @tparam T Type of Id for embedding + * @tparam D Typed Distance + * @return Typed Queryable AnnoyIndex + */ + def loadQueryableIndex[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + futurePool: FuturePool, + directory: AbstractFile + ): Queryable[T, AnnoyRuntimeParams, D] = { + TypedAnnoyQueryIndexWithFile(dimension, metric, injection, futurePool, directory) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyIndexBuilderWithFile.scala b/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyIndexBuilderWithFile.scala new file mode 100644 index 000000000..1dd07ae38 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyIndexBuilderWithFile.scala @@ -0,0 +1,55 @@ +package com.twitter.ann.annoy + +import com.twitter.ann.annoy.AnnoyCommon.IndexIdMappingFileName +import com.twitter.ann.common._ +import com.twitter.ann.file_store.WritableIndexIdFileStore +import com.twitter.bijection.Injection +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.Future +import com.twitter.util.FuturePool +import org.apache.beam.sdk.io.fs.ResourceId + +private[annoy] object TypedAnnoyIndexBuilderWithFile { + private[annoy] def apply[T, D <: Distance[D]]( + dimension: Int, + numOfTrees: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + futurePool: FuturePool + ): Appendable[T, AnnoyRuntimeParams, D] with Serialization = { + val index = RawAnnoyIndexBuilder(dimension, numOfTrees, metric, futurePool) + val writableFileStore = WritableIndexIdFileStore(injection) + new TypedAnnoyIndexBuilderWithFile[T, D](index, writableFileStore) + } +} + +private[this] class TypedAnnoyIndexBuilderWithFile[T, D <: Distance[D]]( + indexBuilder: RawAppendable[AnnoyRuntimeParams, D] with Serialization, + store: WritableIndexIdFileStore[T]) + extends Appendable[T, AnnoyRuntimeParams, D] + with Serialization { + private[this] val transformedIndex = IndexTransformer.transformAppendable(indexBuilder, store) + + override def append(entity: EntityEmbedding[T]): Future[Unit] = { + transformedIndex.append(entity) + } + + override def toDirectory(directory: ResourceId): Unit = { + indexBuilder.toDirectory(directory) + toDirectory(new IndexOutputFile(directory)) + } + + override def toDirectory(directory: AbstractFile): Unit = { + indexBuilder.toDirectory(directory) + toDirectory(new IndexOutputFile(directory)) + } + + private def toDirectory(directory: IndexOutputFile): Unit = { + val indexIdFile = directory.createFile(IndexIdMappingFileName) + store.save(indexIdFile) + } + + override def toQueryable: Queryable[T, AnnoyRuntimeParams, D] = { + transformedIndex.toQueryable + } +} diff --git a/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyQueryIndexWithFile.scala b/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyQueryIndexWithFile.scala new file mode 100644 index 000000000..b72839765 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/annoy/TypedAnnoyQueryIndexWithFile.scala @@ -0,0 +1,42 @@ +package com.twitter.ann.annoy + +import com.twitter.ann.annoy.AnnoyCommon._ +import com.twitter.ann.common._ +import com.twitter.ann.file_store.ReadableIndexIdFileStore +import com.twitter.bijection.Injection +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.FuturePool + +private[annoy] object TypedAnnoyQueryIndexWithFile { + private[annoy] def apply[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + futurePool: FuturePool, + directory: AbstractFile + ): Queryable[T, AnnoyRuntimeParams, D] = { + val deserializer = + new TypedAnnoyQueryIndexWithFile(dimension, metric, futurePool, injection) + deserializer.fromDirectory(directory) + } +} + +private[this] class TypedAnnoyQueryIndexWithFile[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + futurePool: FuturePool, + injection: Injection[T, Array[Byte]]) + extends QueryableDeserialization[ + T, + AnnoyRuntimeParams, + D, + Queryable[T, AnnoyRuntimeParams, D] + ] { + override def fromDirectory(directory: AbstractFile): Queryable[T, AnnoyRuntimeParams, D] = { + val index = RawAnnoyQueryIndex(dimension, metric, futurePool, directory) + + val indexIdFile = directory.getChild(IndexIdMappingFileName) + val readableFileStore = ReadableIndexIdFileStore(indexIdFile, injection) + IndexTransformer.transformQueryable(index, readableFileStore) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/brute_force/BUILD b/ann/src/main/scala/com/twitter/ann/brute_force/BUILD new file mode 100644 index 000000000..4f06431c8 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/brute_force/BUILD @@ -0,0 +1,12 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/serialization", + "ann/src/main/thrift/com/twitter/ann/serialization:serialization-scala", + "src/java/com/twitter/search/common/file", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/brute_force/BruteForceDeserialization.scala b/ann/src/main/scala/com/twitter/ann/brute_force/BruteForceDeserialization.scala new file mode 100644 index 000000000..615c39c95 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/brute_force/BruteForceDeserialization.scala @@ -0,0 +1,64 @@ +package com.twitter.ann.brute_force + +import com.google.common.annotations.VisibleForTesting +import com.twitter.ann.common.{Distance, EntityEmbedding, Metric, QueryableDeserialization} +import com.twitter.ann.serialization.{PersistedEmbeddingInjection, ThriftIteratorIO} +import com.twitter.ann.serialization.thriftscala.PersistedEmbedding +import com.twitter.search.common.file.{AbstractFile, LocalFile} +import com.twitter.util.FuturePool +import java.io.File + +/** + * @param factory creates a BruteForceIndex from the arguments. This is only exposed for testing. + * If for some reason you pass this arg in make sure that it eagerly consumes the + * iterator. If you don't you might close the input stream that the iterator is + * using. + * @tparam T the id of the embeddings + */ +class BruteForceDeserialization[T, D <: Distance[D]] @VisibleForTesting private[brute_force] ( + metric: Metric[D], + embeddingInjection: PersistedEmbeddingInjection[T], + futurePool: FuturePool, + thriftIteratorIO: ThriftIteratorIO[PersistedEmbedding], + factory: (Metric[D], FuturePool, Iterator[EntityEmbedding[T]]) => BruteForceIndex[T, D]) + extends QueryableDeserialization[T, BruteForceRuntimeParams.type, D, BruteForceIndex[T, D]] { + import BruteForceIndex._ + + def this( + metric: Metric[D], + embeddingInjection: PersistedEmbeddingInjection[T], + futurePool: FuturePool, + thriftIteratorIO: ThriftIteratorIO[PersistedEmbedding] + ) = { + this( + metric, + embeddingInjection, + futurePool, + thriftIteratorIO, + factory = BruteForceIndex.apply[T, D] + ) + } + + override def fromDirectory( + serializationDirectory: AbstractFile + ): BruteForceIndex[T, D] = { + val file = File.createTempFile(DataFileName, "tmp") + file.deleteOnExit() + val temp = new LocalFile(file) + val dataFile = serializationDirectory.getChild(DataFileName) + dataFile.copyTo(temp) + val inputStream = temp.getByteSource.openBufferedStream() + try { + val iterator: Iterator[PersistedEmbedding] = thriftIteratorIO.fromInputStream(inputStream) + + val embeddings = iterator.map { thriftEmbedding => + embeddingInjection.invert(thriftEmbedding).get + } + + factory(metric, futurePool, embeddings) + } finally { + inputStream.close() + temp.delete() + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/brute_force/BruteForceIndex.scala b/ann/src/main/scala/com/twitter/ann/brute_force/BruteForceIndex.scala new file mode 100644 index 000000000..d737f57b7 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/brute_force/BruteForceIndex.scala @@ -0,0 +1,162 @@ +package com.twitter.ann.brute_force + +import com.twitter.ann.common.Appendable +import com.twitter.ann.common.Distance +import com.twitter.ann.common.EmbeddingType._ +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.IndexOutputFile +import com.twitter.ann.common.Metric +import com.twitter.ann.common.NeighborWithDistance +import com.twitter.ann.common.Queryable +import com.twitter.ann.common.RuntimeParams +import com.twitter.ann.common.Serialization +import com.twitter.ann.serialization.PersistedEmbeddingInjection +import com.twitter.ann.serialization.ThriftIteratorIO +import com.twitter.ann.serialization.thriftscala.PersistedEmbedding +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.Future +import com.twitter.util.FuturePool +import java.util.concurrent.ConcurrentLinkedQueue +import org.apache.beam.sdk.io.fs.ResourceId +import scala.collection.JavaConverters._ +import scala.collection.mutable + +object BruteForceRuntimeParams extends RuntimeParams + +object BruteForceIndex { + val DataFileName = "BruteForceFileData" + + def apply[T, D <: Distance[D]]( + metric: Metric[D], + futurePool: FuturePool, + initialEmbeddings: Iterator[EntityEmbedding[T]] = Iterator() + ): BruteForceIndex[T, D] = { + val linkedQueue = new ConcurrentLinkedQueue[EntityEmbedding[T]] + initialEmbeddings.foreach(embedding => linkedQueue.add(embedding)) + new BruteForceIndex(metric, futurePool, linkedQueue) + } +} + +class BruteForceIndex[T, D <: Distance[D]] private ( + metric: Metric[D], + futurePool: FuturePool, + // visible for serialization + private[brute_force] val linkedQueue: ConcurrentLinkedQueue[EntityEmbedding[T]]) + extends Appendable[T, BruteForceRuntimeParams.type, D] + with Queryable[T, BruteForceRuntimeParams.type, D] { + + override def append(embedding: EntityEmbedding[T]): Future[Unit] = { + futurePool { + linkedQueue.add(embedding) + } + } + + override def toQueryable: Queryable[T, BruteForceRuntimeParams.type, D] = this + + override def query( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: BruteForceRuntimeParams.type + ): Future[List[T]] = { + queryWithDistance(embedding, numOfNeighbours, runtimeParams).map { neighborsWithDistance => + neighborsWithDistance.map(_.neighbor) + } + } + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: BruteForceRuntimeParams.type + ): Future[List[NeighborWithDistance[T, D]]] = { + futurePool { + // Use the reverse ordering so that we can call dequeue to remove the largest element. + val ordering = Ordering.by[NeighborWithDistance[T, D], D](_.distance) + val priorityQueue = + new mutable.PriorityQueue[NeighborWithDistance[T, D]]()(ordering) + linkedQueue + .iterator() + .asScala + .foreach { entity => + val neighborWithDistance = + NeighborWithDistance(entity.id, metric.distance(entity.embedding, embedding)) + priorityQueue.+=(neighborWithDistance) + if (priorityQueue.size > numOfNeighbours) { + priorityQueue.dequeue() + } + } + val reverseList: List[NeighborWithDistance[T, D]] = + priorityQueue.dequeueAll + reverseList.reverse + } + } +} + +object SerializableBruteForceIndex { + def apply[T, D <: Distance[D]]( + metric: Metric[D], + futurePool: FuturePool, + embeddingInjection: PersistedEmbeddingInjection[T], + thriftIteratorIO: ThriftIteratorIO[PersistedEmbedding] + ): SerializableBruteForceIndex[T, D] = { + val bruteForceIndex = BruteForceIndex[T, D](metric, futurePool) + + new SerializableBruteForceIndex(bruteForceIndex, embeddingInjection, thriftIteratorIO) + } +} + +/** + * This is a class that wrapps a BruteForceIndex and provides a method for serialization. + * + * @param bruteForceIndex all queries and updates are sent to this index. + * @param embeddingInjection injection that can convert embeddings to thrift embeddings. + * @param thriftIteratorIO class that provides a way to write PersistedEmbeddings to disk + */ +class SerializableBruteForceIndex[T, D <: Distance[D]]( + bruteForceIndex: BruteForceIndex[T, D], + embeddingInjection: PersistedEmbeddingInjection[T], + thriftIteratorIO: ThriftIteratorIO[PersistedEmbedding]) + extends Appendable[T, BruteForceRuntimeParams.type, D] + with Queryable[T, BruteForceRuntimeParams.type, D] + with Serialization { + import BruteForceIndex._ + + override def append(entity: EntityEmbedding[T]): Future[Unit] = + bruteForceIndex.append(entity) + + override def toQueryable: Queryable[T, BruteForceRuntimeParams.type, D] = this + + override def query( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: BruteForceRuntimeParams.type + ): Future[List[T]] = + bruteForceIndex.query(embedding, numOfNeighbours, runtimeParams) + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: BruteForceRuntimeParams.type + ): Future[List[NeighborWithDistance[T, D]]] = + bruteForceIndex.queryWithDistance(embedding, numOfNeighbours, runtimeParams) + + override def toDirectory(serializationDirectory: ResourceId): Unit = { + toDirectory(new IndexOutputFile(serializationDirectory)) + } + + override def toDirectory(serializationDirectory: AbstractFile): Unit = { + toDirectory(new IndexOutputFile(serializationDirectory)) + } + + private def toDirectory(serializationDirectory: IndexOutputFile): Unit = { + val outputStream = serializationDirectory.createFile(DataFileName).getOutputStream() + val thriftEmbeddings = + bruteForceIndex.linkedQueue.iterator().asScala.map { embedding => + embeddingInjection(embedding) + } + try { + thriftIteratorIO.toOutputStream(thriftEmbeddings, outputStream) + } finally { + outputStream.close() + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/AnnInjections.scala b/ann/src/main/scala/com/twitter/ann/common/AnnInjections.scala new file mode 100644 index 000000000..44ecbb49e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/AnnInjections.scala @@ -0,0 +1,28 @@ +package com.twitter.ann.common + +import com.twitter.bijection.{Bijection, Injection} + +// Class providing commonly used injections that can be used directly with ANN apis. +// Injection prefixed with `J` can be used in java directly with ANN apis. +object AnnInjections { + val LongInjection: Injection[Long, Array[Byte]] = Injection.long2BigEndian + + def StringInjection: Injection[String, Array[Byte]] = Injection.utf8 + + def IntInjection: Injection[Int, Array[Byte]] = Injection.int2BigEndian + + val JLongInjection: Injection[java.lang.Long, Array[Byte]] = + Bijection.long2Boxed + .asInstanceOf[Bijection[Long, java.lang.Long]] + .inverse + .andThen(LongInjection) + + val JStringInjection: Injection[java.lang.String, Array[Byte]] = + StringInjection + + val JIntInjection: Injection[java.lang.Integer, Array[Byte]] = + Bijection.int2Boxed + .asInstanceOf[Bijection[Int, java.lang.Integer]] + .inverse + .andThen(IntInjection) +} diff --git a/ann/src/main/scala/com/twitter/ann/common/Api.scala b/ann/src/main/scala/com/twitter/ann/common/Api.scala new file mode 100644 index 000000000..5873c1bbb --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/Api.scala @@ -0,0 +1,150 @@ +package com.twitter.ann.common + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ml.api.embedding.Embedding +import com.twitter.ml.api.embedding.EmbeddingMath +import com.twitter.ml.api.embedding.EmbeddingSerDe +import com.twitter.util.Future + +object EmbeddingType { + type EmbeddingVector = Embedding[Float] + val embeddingSerDe = EmbeddingSerDe.apply[Float] + private[common] val math = EmbeddingMath.Float +} + +/** + * Typed entity with an embedding associated with it. + * @param id : Unique Id for an entity. + * @param embedding : Embedding/Vector of an entity. + * @tparam T: Type of id. + */ +case class EntityEmbedding[T](id: T, embedding: EmbeddingVector) + +// Query interface for ANN +trait Queryable[T, P <: RuntimeParams, D <: Distance[D]] { + + /** + * ANN query for ids. + * @param embedding: Embedding/Vector to be queried with. + * @param numOfNeighbors: Number of neighbours to be queried for. + * @param runtimeParams: Runtime params associated with index to control accuracy/latency etc. + * @return List of approximate nearest neighbour ids. + */ + def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[T]] + + /** + * ANN query for ids with distance. + * @param embedding: Embedding/Vector to be queried with. + * @param numOfNeighbors: Number of neighbours to be queried for. + * @param runtimeParams: Runtime params associated with index to control accuracy/latency etc. + * @return List of approximate nearest neighbour ids with distance from the query embedding. + */ + def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[NeighborWithDistance[T, D]]] +} + +// Query interface for ANN over indexes that are grouped +trait QueryableGrouped[T, P <: RuntimeParams, D <: Distance[D]] extends Queryable[T, P, D] { + + /** + * ANN query for ids. + * @param embedding: Embedding/Vector to be queried with. + * @param numOfNeighbors: Number of neighbours to be queried for. + * @param runtimeParams: Runtime params associated with index to control accuracy/latency etc. + * @param key: Optional key to lookup specific ANN index and perform query there + * @return List of approximate nearest neighbour ids. + */ + def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P, + key: Option[String] + ): Future[List[T]] + + /** + * ANN query for ids with distance. + * @param embedding: Embedding/Vector to be queried with. + * @param numOfNeighbors: Number of neighbours to be queried for. + * @param runtimeParams: Runtime params associated with index to control accuracy/latency etc. + * @param key: Optional key to lookup specific ANN index and perform query there + * @return List of approximate nearest neighbour ids with distance from the query embedding. + */ + def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P, + key: Option[String] + ): Future[List[NeighborWithDistance[T, D]]] +} + +/** + * Runtime params associated with index to control accuracy/latency etc while querying. + */ +trait RuntimeParams {} + +/** + * ANN query result with distance. + * @param neighbor : Id of the neighbours + * @param distance: Distance of neighbour from query ex: D: CosineDistance, L2Distance, InnerProductDistance + */ +case class NeighborWithDistance[T, D <: Distance[D]](neighbor: T, distance: D) + +/** + * ANN query result with seed entity for which this neighbor was provided. + * @param seed: Seed Id for which ann query was called + * @param neighbor : Id of the neighbours + */ +case class NeighborWithSeed[T1, T2](seed: T1, neighbor: T2) + +/** + * ANN query result with distance with seed entity for which this neighbor was provided. + * @param seed: Seed Id for which ann query was called + * @param neighbor : Id of the neighbours + * @param distance: Distance of neighbour from query ex: D: CosineDistance, L2Distance, InnerProductDistance + */ +case class NeighborWithDistanceWithSeed[T1, T2, D <: Distance[D]]( + seed: T1, + neighbor: T2, + distance: D) + +trait RawAppendable[P <: RuntimeParams, D <: Distance[D]] { + + /** + * Append an embedding in an index. + * @param embedding: Embedding/Vector + * @return Future of long id associated with embedding autogenerated. + */ + def append(embedding: EmbeddingVector): Future[Long] + + /** + * Convert an Appendable to Queryable interface to query an index. + */ + def toQueryable: Queryable[Long, P, D] +} + +// Index building interface for ANN. +trait Appendable[T, P <: RuntimeParams, D <: Distance[D]] { + + /** + * Append an entity with embedding in an index. + * @param entity: Entity with its embedding + */ + def append(entity: EntityEmbedding[T]): Future[Unit] + + /** + * Convert an Appendable to Queryable interface to query an index. + */ + def toQueryable: Queryable[T, P, D] +} + +// Updatable index interface for ANN. +trait Updatable[T] { + def update(entity: EntityEmbedding[T]): Future[Unit] +} diff --git a/ann/src/main/scala/com/twitter/ann/common/BUILD b/ann/src/main/scala/com/twitter/ann/common/BUILD new file mode 100644 index 000000000..49e1a987e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/BUILD @@ -0,0 +1,21 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/guava", + "3rdparty/jvm/com/twitter/bijection:core", + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/org/apache/beam:beam-sdks-java-io-google-cloud-platform", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "finatra/inject/inject-mdc/src/main/scala", + "mediaservices/commons/src/main/scala:futuretracker", + "src/java/com/twitter/search/common/file", + "src/scala/com/twitter/ml/api/embedding", + "stitch/stitch-core", + ], + exports = [ + "3rdparty/jvm/com/twitter/bijection:core", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/common/EmbeddingProducer.scala b/ann/src/main/scala/com/twitter/ann/common/EmbeddingProducer.scala new file mode 100644 index 000000000..1b99ed9c4 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/EmbeddingProducer.scala @@ -0,0 +1,13 @@ +package com.twitter.ann.common + +import com.twitter.stitch.Stitch + +trait EmbeddingProducer[T] { + + /** + * Produce an embedding from type T. Implementations of this could do a lookup from an id to an + * embedding. Or they could run a deep model on features that output and embedding. + * @return An embedding Stitch. See go/stitch for details on how to use the Stitch API. + */ + def produceEmbedding(input: T): Stitch[Option[EmbeddingType.EmbeddingVector]] +} diff --git a/ann/src/main/scala/com/twitter/ann/common/IndexOutputFile.scala b/ann/src/main/scala/com/twitter/ann/common/IndexOutputFile.scala new file mode 100644 index 000000000..0e71a317a --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/IndexOutputFile.scala @@ -0,0 +1,226 @@ +package com.twitter.ann.common + +import com.google.common.io.ByteStreams +import com.twitter.ann.common.thriftscala.AnnIndexMetadata +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import com.twitter.mediaservices.commons.codec.ThriftByteBufferCodec +import com.twitter.search.common.file.AbstractFile +import java.io.IOException +import java.io.InputStream +import java.io.OutputStream +import java.nio.channels.Channels +import org.apache.beam.sdk.io.FileSystems +import org.apache.beam.sdk.io.fs.MoveOptions +import org.apache.beam.sdk.io.fs.ResolveOptions +import org.apache.beam.sdk.io.fs.ResolveOptions.StandardResolveOptions +import org.apache.beam.sdk.io.fs.ResourceId +import org.apache.beam.sdk.util.MimeTypes +import org.apache.hadoop.io.IOUtils +import scala.collection.JavaConverters._ + +/** + * This class creates a wrapper around GCS filesystem and HDFS filesystem for the index + * generation job. It implements the basic methods required by the index generation job and hides + * the logic around handling HDFS vs GCS. + */ +class IndexOutputFile(val abstractFile: AbstractFile, val resourceId: ResourceId) { + + // Success file name + private val SUCCESS_FILE = "_SUCCESS" + private val INDEX_METADATA_FILE = "ANN_INDEX_METADATA" + private val MetadataCodec = new ThriftByteBufferCodec[AnnIndexMetadata](AnnIndexMetadata) + + /** + * Constructor for ResourceId. This is used for GCS filesystem + * @param resourceId + */ + def this(resourceId: ResourceId) = { + this(null, resourceId) + } + + /** + * Constructor for AbstractFile. This is used for HDFS and local filesystem + * @param abstractFile + */ + def this(abstractFile: AbstractFile) = { + this(abstractFile, null) + } + + /** + * Returns true if this instance is around an AbstractFile. + * @return + */ + def isAbstractFile(): Boolean = { + abstractFile != null + } + + /** + * Creates a _SUCCESS file in the current directory. + */ + def createSuccessFile(): Unit = { + if (isAbstractFile()) { + abstractFile.createSuccessFile() + } else { + val successFile = + resourceId.resolve(SUCCESS_FILE, ResolveOptions.StandardResolveOptions.RESOLVE_FILE) + val successWriterChannel = FileSystems.create(successFile, MimeTypes.BINARY) + successWriterChannel.close() + } + } + + /** + * Returns whether the current instance represents a directory + * @return True if the current instance is a directory + */ + def isDirectory(): Boolean = { + if (isAbstractFile()) { + abstractFile.isDirectory + } else { + resourceId.isDirectory + } + } + + /** + * Return the current path of the file represented by the current instance + * @return The path string of the file/directory + */ + def getPath(): String = { + if (isAbstractFile()) { + abstractFile.getPath.toString + } else { + if (resourceId.isDirectory) { + resourceId.getCurrentDirectory.toString + } else { + resourceId.getCurrentDirectory.toString + resourceId.getFilename + } + } + } + + /** + * Creates a new file @param fileName in the current directory. + * @param fileName + * @return A new file inside the current directory + */ + def createFile(fileName: String): IndexOutputFile = { + if (isAbstractFile()) { + // AbstractFile treats files and directories the same way. Hence, not checking for directory + // here. + new IndexOutputFile(abstractFile.getChild(fileName)) + } else { + if (!resourceId.isDirectory) { + // If this is not a directory, throw exception. + throw new IllegalArgumentException(getPath() + " is not a directory.") + } + new IndexOutputFile( + resourceId.resolve(fileName, ResolveOptions.StandardResolveOptions.RESOLVE_FILE)) + } + } + + /** + * Creates a new directory @param directoryName in the current directory. + * @param directoryName + * @return A new directory inside the current directory + */ + def createDirectory(directoryName: String): IndexOutputFile = { + if (isAbstractFile()) { + // AbstractFile treats files and directories the same way. Hence, not checking for directory + // here. + val dir = abstractFile.getChild(directoryName) + dir.mkdirs() + new IndexOutputFile(dir) + } else { + if (!resourceId.isDirectory) { + // If this is not a directory, throw exception. + throw new IllegalArgumentException(getPath() + " is not a directory.") + } + val newResourceId = + resourceId.resolve(directoryName, ResolveOptions.StandardResolveOptions.RESOLVE_DIRECTORY) + + // Create a tmp file and delete in order to trigger directory creation + val tmpFile = + newResourceId.resolve("tmp", ResolveOptions.StandardResolveOptions.RESOLVE_FILE) + val tmpWriterChannel = FileSystems.create(tmpFile, MimeTypes.BINARY) + tmpWriterChannel.close() + FileSystems.delete(List(tmpFile).asJava, MoveOptions.StandardMoveOptions.IGNORE_MISSING_FILES) + + new IndexOutputFile(newResourceId) + } + } + + def getChild(fileName: String, isDirectory: Boolean = false): IndexOutputFile = { + if (isAbstractFile()) { + new IndexOutputFile(abstractFile.getChild(fileName)) + } else { + val resolveOption = if (isDirectory) { + StandardResolveOptions.RESOLVE_DIRECTORY + } else { + StandardResolveOptions.RESOLVE_FILE + } + new IndexOutputFile(resourceId.resolve(fileName, resolveOption)) + } + } + + /** + * Returns an OutputStream for the underlying file. + * Note: Close the OutputStream after writing + * @return + */ + def getOutputStream(): OutputStream = { + if (isAbstractFile()) { + abstractFile.getByteSink.openStream() + } else { + if (resourceId.isDirectory) { + // If this is a directory, throw exception. + throw new IllegalArgumentException(getPath() + " is a directory.") + } + val writerChannel = FileSystems.create(resourceId, MimeTypes.BINARY) + Channels.newOutputStream(writerChannel) + } + } + + /** + * Returns an InputStream for the underlying file. + * Note: Close the InputStream after reading + * @return + */ + def getInputStream(): InputStream = { + if (isAbstractFile()) { + abstractFile.getByteSource.openStream() + } else { + if (resourceId.isDirectory) { + // If this is a directory, throw exception. + throw new IllegalArgumentException(getPath() + " is a directory.") + } + val readChannel = FileSystems.open(resourceId) + Channels.newInputStream(readChannel) + } + } + + /** + * Copies content from the srcIn into the current file. + * @param srcIn + */ + def copyFrom(srcIn: InputStream): Unit = { + val out = getOutputStream() + try { + IOUtils.copyBytes(srcIn, out, 4096) + out.close() + } catch { + case ex: IOException => + IOUtils.closeStream(out); + throw ex; + } + } + + def writeIndexMetadata(annIndexMetadata: AnnIndexMetadata): Unit = { + val out = createFile(INDEX_METADATA_FILE).getOutputStream() + val bytes = ArrayByteBufferCodec.decode(MetadataCodec.encode(annIndexMetadata)) + out.write(bytes) + out.close() + } + + def loadIndexMetadata(): AnnIndexMetadata = { + val in = ByteStreams.toByteArray(getInputStream()) + MetadataCodec.decode(ArrayByteBufferCodec.encode(in)) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/IndexTransformer.scala b/ann/src/main/scala/com/twitter/ann/common/IndexTransformer.scala new file mode 100644 index 000000000..b096e2a57 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/IndexTransformer.scala @@ -0,0 +1,118 @@ +package com.twitter.ann.common + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.storehaus.{ReadableStore, Store} +import com.twitter.util.Future + +// Utility to transform raw index to typed index using Store +object IndexTransformer { + + /** + * Transform a long type queryable index to Typed queryable index + * @param index: Raw Queryable index + * @param store: Readable store to provide mappings between Long and T + * @tparam T: Type to transform to + * @tparam P: Runtime params + * @return Queryable index typed on T + */ + def transformQueryable[T, P <: RuntimeParams, D <: Distance[D]]( + index: Queryable[Long, P, D], + store: ReadableStore[Long, T] + ): Queryable[T, P, D] = { + new Queryable[T, P, D] { + override def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[T]] = { + val neighbors = index.query(embedding, numOfNeighbors, runtimeParams) + neighbors + .flatMap(nn => { + val ids = nn.map(id => store.get(id).map(_.get)) + Future + .collect(ids) + .map(_.toList) + }) + } + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[NeighborWithDistance[T, D]]] = { + val neighbors = index.queryWithDistance(embedding, numOfNeighbors, runtimeParams) + neighbors + .flatMap(nn => { + val ids = nn.map(obj => + store.get(obj.neighbor).map(id => NeighborWithDistance(id.get, obj.distance))) + Future + .collect(ids) + .map(_.toList) + }) + } + } + } + + /** + * Transform a long type appendable index to Typed appendable index + * @param index: Raw Appendable index + * @param store: Writable store to store mappings between Long and T + * @tparam T: Type to transform to + * @return Appendable index typed on T + */ + def transformAppendable[T, P <: RuntimeParams, D <: Distance[D]]( + index: RawAppendable[P, D], + store: Store[Long, T] + ): Appendable[T, P, D] = { + new Appendable[T, P, D]() { + override def append(entity: EntityEmbedding[T]): Future[Unit] = { + index + .append(entity.embedding) + .flatMap(id => store.put((id, Some(entity.id)))) + } + + override def toQueryable: Queryable[T, P, D] = { + transformQueryable(index.toQueryable, store) + } + } + } + + /** + * Transform a long type appendable and queryable index to Typed appendable and queryable index + * @param index: Raw Appendable and queryable index + * @param store: Store to provide/store mappings between Long and T + * @tparam T: Type to transform to + * @tparam Index: Index + * @return Appendable and queryable index typed on T + */ + def transform1[ + Index <: RawAppendable[P, D] with Queryable[Long, P, D], + T, + P <: RuntimeParams, + D <: Distance[D] + ]( + index: Index, + store: Store[Long, T] + ): Queryable[T, P, D] with Appendable[T, P, D] = { + val queryable = transformQueryable(index, store) + val appendable = transformAppendable(index, store) + + new Queryable[T, P, D] with Appendable[T, P, D] { + override def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ) = queryable.query(embedding, numOfNeighbors, runtimeParams) + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ) = queryable.queryWithDistance(embedding, numOfNeighbors, runtimeParams) + + override def append(entity: EntityEmbedding[T]) = appendable.append(entity) + + override def toQueryable: Queryable[T, P, D] = appendable.toQueryable + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/MemoizedInEpochs.scala b/ann/src/main/scala/com/twitter/ann/common/MemoizedInEpochs.scala new file mode 100644 index 000000000..267aee636 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/MemoizedInEpochs.scala @@ -0,0 +1,37 @@ +package com.twitter.ann.common + +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Try +import com.twitter.util.logging.Logging + +// Memoization with a twist +// New epoch reuse K:V pairs from previous and recycle everything else +class MemoizedInEpochs[K, V](f: K => Try[V]) extends Logging { + private var memoizedCalls: Map[K, V] = Map.empty + + def epoch(keys: Seq[K]): Seq[V] = { + val newSet = keys.toSet + val keysToBeComputed = newSet.diff(memoizedCalls.keySet) + val computedKeysAndValues = keysToBeComputed.map { key => + info(s"Memoize ${key}") + (key, f(key)) + } + val keysAndValuesAfterFilteringFailures = computedKeysAndValues + .flatMap { + case (key, Return(value)) => Some((key, value)) + case (key, Throw(e)) => + warn(s"Calling f for ${key} has failed", e) + + None + } + val keysReusedFromLastEpoch = memoizedCalls.filterKeys(newSet.contains) + memoizedCalls = keysReusedFromLastEpoch ++ keysAndValuesAfterFilteringFailures + + debug(s"Final memoization is ${memoizedCalls.keys.mkString(", ")}") + + keys.flatMap(memoizedCalls.get) + } + + def currentEpochKeys: Set[K] = memoizedCalls.keySet +} diff --git a/ann/src/main/scala/com/twitter/ann/common/Metric.scala b/ann/src/main/scala/com/twitter/ann/common/Metric.scala new file mode 100644 index 000000000..1c2c95aa9 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/Metric.scala @@ -0,0 +1,290 @@ +package com.twitter.ann.common + +import com.google.common.collect.ImmutableBiMap +import com.twitter.ann.common.EmbeddingType._ +import com.twitter.ann.common.thriftscala.DistanceMetric +import com.twitter.ann.common.thriftscala.{CosineDistance => ServiceCosineDistance} +import com.twitter.ann.common.thriftscala.{Distance => ServiceDistance} +import com.twitter.ann.common.thriftscala.{InnerProductDistance => ServiceInnerProductDistance} +import com.twitter.ann.common.thriftscala.{EditDistance => ServiceEditDistance} +import com.twitter.ann.common.thriftscala.{L2Distance => ServiceL2Distance} +import com.twitter.bijection.Injection +import scala.util.Failure +import scala.util.Success +import scala.util.Try + +// Ann distance metrics +trait Distance[D] extends Any with Ordered[D] { + def distance: Float +} + +case class L2Distance(distance: Float) extends AnyVal with Distance[L2Distance] { + override def compare(that: L2Distance): Int = + Ordering.Float.compare(this.distance, that.distance) +} + +case class CosineDistance(distance: Float) extends AnyVal with Distance[CosineDistance] { + override def compare(that: CosineDistance): Int = + Ordering.Float.compare(this.distance, that.distance) +} + +case class InnerProductDistance(distance: Float) + extends AnyVal + with Distance[InnerProductDistance] { + override def compare(that: InnerProductDistance): Int = + Ordering.Float.compare(this.distance, that.distance) +} + +case class EditDistance(distance: Float) extends AnyVal with Distance[EditDistance] { + override def compare(that: EditDistance): Int = + Ordering.Float.compare(this.distance, that.distance) +} + +object Metric { + private[this] val thriftMetricMapping = ImmutableBiMap.of( + L2, + DistanceMetric.L2, + Cosine, + DistanceMetric.Cosine, + InnerProduct, + DistanceMetric.InnerProduct, + Edit, + DistanceMetric.EditDistance + ) + + def fromThrift(metric: DistanceMetric): Metric[_ <: Distance[_]] = { + thriftMetricMapping.inverse().get(metric) + } + + def toThrift(metric: Metric[_ <: Distance[_]]): DistanceMetric = { + thriftMetricMapping.get(metric) + } + + def fromString(metricName: String): Metric[_ <: Distance[_]] + with Injection[_, ServiceDistance] = { + metricName match { + case "Cosine" => Cosine + case "L2" => L2 + case "InnerProduct" => InnerProduct + case "EditDistance" => Edit + case _ => + throw new IllegalArgumentException(s"No Metric with the name $metricName") + } + } +} + +sealed trait Metric[D <: Distance[D]] { + def distance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): D + def absoluteDistance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): Float + def fromAbsoluteDistance(distance: Float): D +} + +case object L2 extends Metric[L2Distance] with Injection[L2Distance, ServiceDistance] { + override def distance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): L2Distance = { + fromAbsoluteDistance(MetricUtil.l2distance(embedding1, embedding2).toFloat) + } + + override def fromAbsoluteDistance(distance: Float): L2Distance = { + L2Distance(distance) + } + + override def absoluteDistance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): Float = distance(embedding1, embedding2).distance + + override def apply(scalaDistance: L2Distance): ServiceDistance = { + ServiceDistance.L2Distance(ServiceL2Distance(scalaDistance.distance)) + } + + override def invert(serviceDistance: ServiceDistance): Try[L2Distance] = { + serviceDistance match { + case ServiceDistance.L2Distance(l2Distance) => + Success(L2Distance(l2Distance.distance.toFloat)) + case distance => + Failure(new IllegalArgumentException(s"Expected an l2 distance but got $distance")) + } + } +} + +case object Cosine extends Metric[CosineDistance] with Injection[CosineDistance, ServiceDistance] { + override def distance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): CosineDistance = { + fromAbsoluteDistance(1 - MetricUtil.cosineSimilarity(embedding1, embedding2)) + } + + override def fromAbsoluteDistance(distance: Float): CosineDistance = { + CosineDistance(distance) + } + + override def absoluteDistance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): Float = distance(embedding1, embedding2).distance + + override def apply(scalaDistance: CosineDistance): ServiceDistance = { + ServiceDistance.CosineDistance(ServiceCosineDistance(scalaDistance.distance)) + } + + override def invert(serviceDistance: ServiceDistance): Try[CosineDistance] = { + serviceDistance match { + case ServiceDistance.CosineDistance(cosineDistance) => + Success(CosineDistance(cosineDistance.distance.toFloat)) + case distance => + Failure(new IllegalArgumentException(s"Expected a cosine distance but got $distance")) + } + } +} + +case object InnerProduct + extends Metric[InnerProductDistance] + with Injection[InnerProductDistance, ServiceDistance] { + override def distance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): InnerProductDistance = { + fromAbsoluteDistance(1 - MetricUtil.dot(embedding1, embedding2)) + } + + override def fromAbsoluteDistance(distance: Float): InnerProductDistance = { + InnerProductDistance(distance) + } + + override def absoluteDistance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): Float = distance(embedding1, embedding2).distance + + override def apply(scalaDistance: InnerProductDistance): ServiceDistance = { + ServiceDistance.InnerProductDistance(ServiceInnerProductDistance(scalaDistance.distance)) + } + + override def invert( + serviceDistance: ServiceDistance + ): Try[InnerProductDistance] = { + serviceDistance match { + case ServiceDistance.InnerProductDistance(cosineDistance) => + Success(InnerProductDistance(cosineDistance.distance.toFloat)) + case distance => + Failure( + new IllegalArgumentException(s"Expected a inner product distance but got $distance") + ) + } + } +} + +case object Edit extends Metric[EditDistance] with Injection[EditDistance, ServiceDistance] { + + private def intDistance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector, + pos1: Int, + pos2: Int, + precomputedDistances: scala.collection.mutable.Map[(Int, Int), Int] + ): Int = { + // return the remaining characters of other String + if (pos1 == 0) return pos2 + if (pos2 == 0) return pos1 + + // To check if the recursive tree + // for given n & m has already been executed + precomputedDistances.getOrElse( + (pos1, pos2), { + // We might want to change this so that capitals are considered the same. + // Also maybe some characters that look similar should also be the same. + val computed = if (embedding1(pos1 - 1) == embedding2(pos2 - 1)) { + intDistance(embedding1, embedding2, pos1 - 1, pos2 - 1, precomputedDistances) + } else { // If characters are nt equal, we need to + // find the minimum cost out of all 3 operations. + val insert = intDistance(embedding1, embedding2, pos1, pos2 - 1, precomputedDistances) + val del = intDistance(embedding1, embedding2, pos1 - 1, pos2, precomputedDistances) + val replace = + intDistance(embedding1, embedding2, pos1 - 1, pos2 - 1, precomputedDistances) + 1 + Math.min(insert, Math.min(del, replace)) + } + precomputedDistances.put((pos1, pos2), computed) + computed + } + ) + } + + override def distance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): EditDistance = { + val editDistance = intDistance( + embedding1, + embedding2, + embedding1.length, + embedding2.length, + scala.collection.mutable.Map[(Int, Int), Int]() + ) + EditDistance(editDistance) + } + + override def fromAbsoluteDistance(distance: Float): EditDistance = { + EditDistance(distance.toInt) + } + + override def absoluteDistance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): Float = distance(embedding1, embedding2).distance + + override def apply(scalaDistance: EditDistance): ServiceDistance = { + ServiceDistance.EditDistance(ServiceEditDistance(scalaDistance.distance.toInt)) + } + + override def invert( + serviceDistance: ServiceDistance + ): Try[EditDistance] = { + serviceDistance match { + case ServiceDistance.EditDistance(cosineDistance) => + Success(EditDistance(cosineDistance.distance.toFloat)) + case distance => + Failure( + new IllegalArgumentException(s"Expected a inner product distance but got $distance") + ) + } + } +} + +object MetricUtil { + private[ann] def dot( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): Float = { + math.dotProduct(embedding1, embedding2) + } + + private[ann] def l2distance( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): Double = { + math.l2Distance(embedding1, embedding2) + } + + private[ann] def cosineSimilarity( + embedding1: EmbeddingVector, + embedding2: EmbeddingVector + ): Float = { + math.cosineSimilarity(embedding1, embedding2).toFloat + } + + private[ann] def norm( + embedding: EmbeddingVector + ): EmbeddingVector = { + math.normalize(embedding) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/QueryableById.scala b/ann/src/main/scala/com/twitter/ann/common/QueryableById.scala new file mode 100644 index 000000000..0f1c8cfe2 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/QueryableById.scala @@ -0,0 +1,41 @@ +package com.twitter.ann.common + +import com.twitter.stitch.Stitch + +/** + * This is a trait that allows you to query for nearest neighbors given an arbitrary type T1. This is + * in contrast to a regular com.twitter.ann.common.Appendable, which takes an embedding as the input + * argument. + * + * This interface uses the Stitch API for batching. See go/stitch for details on how to use it. + * + * @tparam T1 type of the query. + * @tparam T2 type of the result. + * @tparam P runtime parameters supported by the index. + * @tparam D distance function used in the index. + */ +trait QueryableById[T1, T2, P <: RuntimeParams, D <: Distance[D]] { + def queryById( + id: T1, + numOfNeighbors: Int, + runtimeParams: P + ): Stitch[List[T2]] + + def queryByIdWithDistance( + id: T1, + numOfNeighbors: Int, + runtimeParams: P + ): Stitch[List[NeighborWithDistance[T2, D]]] + + def batchQueryById( + ids: Seq[T1], + numOfNeighbors: Int, + runtimeParams: P + ): Stitch[List[NeighborWithSeed[T1, T2]]] + + def batchQueryWithDistanceById( + ids: Seq[T1], + numOfNeighbors: Int, + runtimeParams: P + ): Stitch[List[NeighborWithDistanceWithSeed[T1, T2, D]]] +} diff --git a/ann/src/main/scala/com/twitter/ann/common/QueryableByIdImplementation.scala b/ann/src/main/scala/com/twitter/ann/common/QueryableByIdImplementation.scala new file mode 100644 index 000000000..479414eb9 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/QueryableByIdImplementation.scala @@ -0,0 +1,91 @@ +package com.twitter.ann.common + +import com.twitter.stitch.Stitch + +/** + * Implementation of QueryableById that composes an EmbeddingProducer and a Queryable so that we + * can get nearest neighbors given an id of type T1 + * @param embeddingProducer provides an embedding given an id. + * @param queryable provides a list of neighbors given an embedding. + * @tparam T1 type of the query. + * @tparam T2 type of the result. + * @tparam P runtime parameters supported by the index. + * @tparam D distance function used in the index. + */ +class QueryableByIdImplementation[T1, T2, P <: RuntimeParams, D <: Distance[D]]( + embeddingProducer: EmbeddingProducer[T1], + queryable: Queryable[T2, P, D]) + extends QueryableById[T1, T2, P, D] { + override def queryById( + id: T1, + numOfNeighbors: Int, + runtimeParams: P + ): Stitch[List[T2]] = { + embeddingProducer.produceEmbedding(id).flatMap { embeddingOption => + embeddingOption + .map { embedding => + Stitch.callFuture(queryable.query(embedding, numOfNeighbors, runtimeParams)) + }.getOrElse { + Stitch.value(List.empty) + } + } + } + + override def queryByIdWithDistance( + id: T1, + numOfNeighbors: Int, + runtimeParams: P + ): Stitch[List[NeighborWithDistance[T2, D]]] = { + embeddingProducer.produceEmbedding(id).flatMap { embeddingOption => + embeddingOption + .map { embedding => + Stitch.callFuture(queryable.queryWithDistance(embedding, numOfNeighbors, runtimeParams)) + }.getOrElse { + Stitch.value(List.empty) + } + } + } + + override def batchQueryById( + ids: Seq[T1], + numOfNeighbors: Int, + runtimeParams: P + ): Stitch[List[NeighborWithSeed[T1, T2]]] = { + Stitch + .traverse(ids) { id => + embeddingProducer.produceEmbedding(id).flatMap { embeddingOption => + embeddingOption + .map { embedding => + Stitch + .callFuture(queryable.query(embedding, numOfNeighbors, runtimeParams)).map( + _.map(neighbor => NeighborWithSeed(id, neighbor))) + }.getOrElse { + Stitch.value(List.empty) + }.handle { case _ => List.empty } + } + }.map { _.toList.flatten } + } + + override def batchQueryWithDistanceById( + ids: Seq[T1], + numOfNeighbors: Int, + runtimeParams: P + ): Stitch[List[NeighborWithDistanceWithSeed[T1, T2, D]]] = { + Stitch + .traverse(ids) { id => + embeddingProducer.produceEmbedding(id).flatMap { embeddingOption => + embeddingOption + .map { embedding => + Stitch + .callFuture(queryable.queryWithDistance(embedding, numOfNeighbors, runtimeParams)) + .map(_.map(neighbor => + NeighborWithDistanceWithSeed(id, neighbor.neighbor, neighbor.distance))) + }.getOrElse { + Stitch.value(List.empty) + }.handle { case _ => List.empty } + } + }.map { + _.toList.flatten + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/QueryableOperations.scala b/ann/src/main/scala/com/twitter/ann/common/QueryableOperations.scala new file mode 100644 index 000000000..9cd72b066 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/QueryableOperations.scala @@ -0,0 +1,26 @@ +package com.twitter.ann.common + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.util.Future + +object QueryableOperations { + implicit class Map[T, P <: RuntimeParams, D <: Distance[D]]( + val q: Queryable[T, P, D]) { + def mapRuntimeParameters(f: P => P): Queryable[T, P, D] = { + new Queryable[T, P, D] { + def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[T]] = q.query(embedding, numOfNeighbors, f(runtimeParams)) + + def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[NeighborWithDistance[T, D]]] = + q.queryWithDistance(embedding, numOfNeighbors, f(runtimeParams)) + } + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/ReadWriteFuturePool.scala b/ann/src/main/scala/com/twitter/ann/common/ReadWriteFuturePool.scala new file mode 100644 index 000000000..5c6c2ba70 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/ReadWriteFuturePool.scala @@ -0,0 +1,29 @@ +package com.twitter.ann.common +import com.google.common.annotations.VisibleForTesting +import com.twitter.util.{Future, FuturePool} + +trait ReadWriteFuturePool { + def read[T](f: => T): Future[T] + def write[T](f: => T): Future[T] +} + +object ReadWriteFuturePool { + def apply(readPool: FuturePool, writePool: FuturePool): ReadWriteFuturePool = { + new ReadWriteFuturePoolANN(readPool, writePool) + } + + def apply(commonPool: FuturePool): ReadWriteFuturePool = { + new ReadWriteFuturePoolANN(commonPool, commonPool) + } +} + +@VisibleForTesting +private[ann] class ReadWriteFuturePoolANN(readPool: FuturePool, writePool: FuturePool) + extends ReadWriteFuturePool { + def read[T](f: => T): Future[T] = { + readPool.apply(f) + } + def write[T](f: => T): Future[T] = { + writePool.apply(f) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/Serialization.scala b/ann/src/main/scala/com/twitter/ann/common/Serialization.scala new file mode 100644 index 000000000..155042d07 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/Serialization.scala @@ -0,0 +1,28 @@ +package com.twitter.ann.common + +import com.twitter.search.common.file.AbstractFile +import org.apache.beam.sdk.io.fs.ResourceId + +/** + * Interface for writing an Appendable to a directory. + */ +trait Serialization { + def toDirectory( + serializationDirectory: AbstractFile + ): Unit + + def toDirectory( + serializationDirectory: ResourceId + ): Unit +} + +/** + * Interface for reading a Queryable from a directory + * @tparam T the id of the embeddings + * @tparam Q type of the Queryable that is deserialized. + */ +trait QueryableDeserialization[T, P <: RuntimeParams, D <: Distance[D], Q <: Queryable[T, P, D]] { + def fromDirectory( + serializationDirectory: AbstractFile + ): Q +} diff --git a/ann/src/main/scala/com/twitter/ann/common/ServiceClientQueryable.scala b/ann/src/main/scala/com/twitter/ann/common/ServiceClientQueryable.scala new file mode 100644 index 000000000..6b4893aef --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/ServiceClientQueryable.scala @@ -0,0 +1,64 @@ +package com.twitter.ann.common + +import com.twitter.ann.common.EmbeddingType._ +import com.twitter.ann.common.thriftscala.{ + NearestNeighborQuery, + NearestNeighborResult, + Distance => ServiceDistance, + RuntimeParams => ServiceRuntimeParams +} +import com.twitter.bijection.Injection +import com.twitter.finagle.Service +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import com.twitter.util.Future + +class ServiceClientQueryable[T, P <: RuntimeParams, D <: Distance[D]]( + service: Service[NearestNeighborQuery, NearestNeighborResult], + runtimeParamInjection: Injection[P, ServiceRuntimeParams], + distanceInjection: Injection[D, ServiceDistance], + idInjection: Injection[T, Array[Byte]]) + extends Queryable[T, P, D] { + override def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[T]] = { + service + .apply( + NearestNeighborQuery( + embeddingSerDe.toThrift(embedding), + withDistance = false, + runtimeParamInjection(runtimeParams), + numOfNeighbors + ) + ) + .map { result => + result.nearestNeighbors.map { nearestNeighbor => + idInjection.invert(ArrayByteBufferCodec.decode(nearestNeighbor.id)).get + }.toList + } + } + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[NeighborWithDistance[T, D]]] = + service + .apply( + NearestNeighborQuery( + embeddingSerDe.toThrift(embedding), + withDistance = true, + runtimeParamInjection(runtimeParams), + numOfNeighbors + ) + ) + .map { result => + result.nearestNeighbors.map { nearestNeighbor => + NeighborWithDistance( + idInjection.invert(ArrayByteBufferCodec.decode(nearestNeighbor.id)).get, + distanceInjection.invert(nearestNeighbor.distance.get).get + ) + }.toList + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/ShardApi.scala b/ann/src/main/scala/com/twitter/ann/common/ShardApi.scala new file mode 100644 index 000000000..9351bd418 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/ShardApi.scala @@ -0,0 +1,87 @@ +package com.twitter.ann.common + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.util.Future +import scala.util.Random + +trait ShardFunction[T] { + + /** + * Shard function to shard embedding based on total shards and embedding data. + * @param shards + * @param entity + * @return Shard index, from 0(Inclusive) to shards(Exclusive)) + */ + def apply(shards: Int, entity: EntityEmbedding[T]): Int +} + +/** + * Randomly shards the embeddings based on number of total shards. + */ +class RandomShardFunction[T] extends ShardFunction[T] { + def apply(shards: Int, entity: EntityEmbedding[T]): Int = { + Random.nextInt(shards) + } +} + +/** + * Sharded appendable to shard the embedding into different appendable indices + * @param indices: Sequence of appendable indices + * @param shardFn: Shard function to shard data into different indices + * @param shards: Total shards + * @tparam T: Type of id. + */ +class ShardedAppendable[T, P <: RuntimeParams, D <: Distance[D]]( + indices: Seq[Appendable[T, P, D]], + shardFn: ShardFunction[T], + shards: Int) + extends Appendable[T, P, D] { + override def append(entity: EntityEmbedding[T]): Future[Unit] = { + val shard = shardFn(shards, entity) + val index = indices(shard) + index.append(entity) + } + + override def toQueryable: Queryable[T, P, D] = { + new ComposedQueryable[T, P, D](indices.map(_.toQueryable)) + } +} + +/** + * Composition of sequence of queryable indices, it queries all the indices, + * and merges the result in memory to return the K nearest neighbours + * @param indices: Sequence of queryable indices + * @tparam T: Type of id + * @tparam P: Type of runtime param + * @tparam D: Type of distance metric + */ +class ComposedQueryable[T, P <: RuntimeParams, D <: Distance[D]]( + indices: Seq[Queryable[T, P, D]]) + extends Queryable[T, P, D] { + private[this] val ordering = + Ordering.by[NeighborWithDistance[T, D], D](_.distance) + override def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[T]] = { + val neighbours = queryWithDistance(embedding, numOfNeighbors, runtimeParams) + neighbours.map(list => list.map(nn => nn.neighbor)) + } + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[NeighborWithDistance[T, D]]] = { + val futures = Future.collect( + indices.map(index => index.queryWithDistance(embedding, numOfNeighbors, runtimeParams)) + ) + futures.map { list => + list.flatten + .sorted(ordering) + .take(numOfNeighbors) + .toList + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/ShardedSerialization.scala b/ann/src/main/scala/com/twitter/ann/common/ShardedSerialization.scala new file mode 100644 index 000000000..9b9cda264 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/ShardedSerialization.scala @@ -0,0 +1,89 @@ +package com.twitter.ann.common + +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.AbstractFile.Filter +import com.twitter.util.Future +import org.apache.beam.sdk.io.fs.ResourceId +import scala.collection.JavaConverters._ + +object ShardConstants { + val ShardPrefix = "shard_" +} + +/** + * Serialize shards to directory + * @param shards: List of shards to serialize + */ +class ShardedSerialization( + shards: Seq[Serialization]) + extends Serialization { + override def toDirectory(directory: AbstractFile): Unit = { + toDirectory(new IndexOutputFile(directory)) + } + + override def toDirectory(directory: ResourceId): Unit = { + toDirectory(new IndexOutputFile(directory)) + } + + private def toDirectory(directory: IndexOutputFile): Unit = { + shards.indices.foreach { shardId => + val shardDirectory = directory.createDirectory(ShardConstants.ShardPrefix + shardId) + val serialization = shards(shardId) + if (shardDirectory.isAbstractFile) { + serialization.toDirectory(shardDirectory.abstractFile) + } else { + serialization.toDirectory(shardDirectory.resourceId) + } + } + } +} + +/** + * Deserialize directories containing index shards data to a composed queryable + * @param deserializationFn function to deserialize a shard file to Queryable + * @tparam T the id of the embeddings + * @tparam P : Runtime params type + * @tparam D: Distance metric type + */ +class ComposedQueryableDeserialization[T, P <: RuntimeParams, D <: Distance[D]]( + deserializationFn: (AbstractFile) => Queryable[T, P, D]) + extends QueryableDeserialization[T, P, D, Queryable[T, P, D]] { + override def fromDirectory(directory: AbstractFile): Queryable[T, P, D] = { + val shardDirs = directory + .listFiles(new Filter { + override def accept(file: AbstractFile): Boolean = + file.getName.startsWith(ShardConstants.ShardPrefix) + }) + .asScala + .toList + + val indices = shardDirs + .map { shardDir => + deserializationFn(shardDir) + } + + new ComposedQueryable[T, P, D](indices) + } +} + +class ShardedIndexBuilderWithSerialization[T, P <: RuntimeParams, D <: Distance[D]]( + shardedIndex: ShardedAppendable[T, P, D], + shardedSerialization: ShardedSerialization) + extends Appendable[T, P, D] + with Serialization { + override def append(entity: EntityEmbedding[T]): Future[Unit] = { + shardedIndex.append(entity) + } + + override def toDirectory(directory: AbstractFile): Unit = { + shardedSerialization.toDirectory(directory) + } + + override def toDirectory(directory: ResourceId): Unit = { + shardedSerialization.toDirectory(directory) + } + + override def toQueryable: Queryable[T, P, D] = { + shardedIndex.toQueryable + } +} diff --git a/ann/src/main/scala/com/twitter/ann/common/Task.scala b/ann/src/main/scala/com/twitter/ann/common/Task.scala new file mode 100644 index 000000000..eaad03a88 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/common/Task.scala @@ -0,0 +1,121 @@ +package com.twitter.ann.common + +import com.twitter.finagle.stats.CategorizingExceptionStatsHandler +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.tracing.DefaultTracer +import com.twitter.finagle.tracing.Trace +import com.twitter.finagle.util.DefaultTimer +import com.twitter.finagle.util.Rng +import com.twitter.inject.logging.MDCKeys +import com.twitter.util.Closable +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import com.twitter.util.Timer +import com.twitter.util.logging.Logging +import java.util.concurrent.atomic.AtomicInteger +import org.slf4j.MDC + +/** + * A Task that will be scheduled to execute periodically on every interval. If a task takes + * longer than an interval to complete, it will be immediately scheduled to run. + */ +trait Task extends Closable { self: Logging => + + // Exposed if the implementation of `task` need to report failures + val exnStatsHandler = new CategorizingExceptionStatsHandler(categorizer = _ => Some("failures")) + + protected val statsReceiver: StatsReceiver + private val totalTasks = statsReceiver.counter("total") + private val successfulTasks = statsReceiver.counter("success") + private val taskLatency = statsReceiver.stat("latency_ms") + + private val activeTasks = new AtomicInteger(0) + + protected[common] val rng: Rng = Rng.threadLocal + protected[common] val timer: Timer = DefaultTimer + + @volatile private var taskLoop: Future[Unit] = null + + /** Execute the task wih bookkeeping **/ + private def run(): Future[Unit] = { + totalTasks.incr() + activeTasks.getAndIncrement() + + val start = Time.now + val runningTask = + // Setup a new trace root for this task. We also want logs to contain + // the same trace information finatra populates for requests. + // See com.twitter.finatra.thrift.filters.TraceIdMDCFilter + Trace.letTracerAndNextId(DefaultTracer) { + val trace = Trace() + MDC.put(MDCKeys.TraceId, trace.id.traceId.toString) + MDC.put(MDCKeys.TraceSampled, trace.id._sampled.getOrElse(false).toString) + MDC.put(MDCKeys.TraceSpanId, trace.id.spanId.toString) + + info(s"starting task ${getClass.toString}") + task() + .onSuccess({ _ => + info(s"completed task ${getClass.toString}") + successfulTasks.incr() + }) + .onFailure({ e => + warn(s"failed task. ", e) + exnStatsHandler.record(statsReceiver, e) + }) + } + + runningTask.transform { _ => + val elapsed = Time.now - start + activeTasks.getAndDecrement() + taskLatency.add(elapsed.inMilliseconds) + + Future + .sleep(taskInterval)(timer) + .before(run()) + } + } + + // Body of a task to run + protected def task(): Future[Unit] + + // Task interval + protected def taskInterval: Duration + + /** + * Start the task after random jitter + */ + final def jitteredStart(): Unit = synchronized { + if (taskLoop != null) { + throw new RuntimeException(s"task already started") + } else { + val jitterNs = rng.nextLong(taskInterval.inNanoseconds) + val jitter = Duration.fromNanoseconds(jitterNs) + + taskLoop = Future + .sleep(jitter)(timer) + .before(run()) + } + } + + /** + * Start the task without applying any delay + */ + final def startImmediately(): Unit = synchronized { + if (taskLoop != null) { + throw new RuntimeException(s"task already started") + } else { + taskLoop = run() + } + } + + /** + * Close the task. A closed task cannot be restarted. + */ + override def close(deadline: Time): Future[Unit] = { + if (taskLoop != null) { + taskLoop.raise(new InterruptedException("task closed")) + } + Future.Done + } +} diff --git a/ann/src/main/scala/com/twitter/ann/dataflow/offline/ANNIndexBuilderBeamJob.scala b/ann/src/main/scala/com/twitter/ann/dataflow/offline/ANNIndexBuilderBeamJob.scala new file mode 100644 index 000000000..64ab583ab --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/dataflow/offline/ANNIndexBuilderBeamJob.scala @@ -0,0 +1,461 @@ +package com.twitter.ann.dataflow.offline + +import com.spotify.scio.ScioContext +import com.spotify.scio.ScioMetrics +import com.twitter.ann.annoy.TypedAnnoyIndex +import com.twitter.ann.brute_force.SerializableBruteForceIndex +import com.twitter.ann.common.thriftscala.AnnIndexMetadata +import com.twitter.ann.common.Distance +import com.twitter.ann.common.Cosine +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.IndexOutputFile +import com.twitter.ann.common.Metric +import com.twitter.ann.common.ReadWriteFuturePool +import com.twitter.ann.faiss.FaissIndexer +import com.twitter.ann.hnsw.TypedHnswIndex +import com.twitter.ann.serialization.PersistedEmbeddingInjection +import com.twitter.ann.serialization.ThriftIteratorIO +import com.twitter.ann.serialization.thriftscala.PersistedEmbedding +import com.twitter.ann.util.IndexBuilderUtils +import com.twitter.beam.io.bigquery.BigQueryIO +import com.twitter.beam.io.dal.DalObservedDatasetRegistration +import com.twitter.beam.job.DateRange +import com.twitter.beam.job.DateRangeOptions +import com.twitter.cortex.ml.embeddings.common._ +import com.twitter.ml.api.embedding.Embedding +import com.twitter.ml.api.embedding.EmbeddingMath +import com.twitter.ml.api.embedding.EmbeddingSerDe +import com.twitter.ml.api.thriftscala.{Embedding => TEmbedding} +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.ml.featurestore.lib.SemanticCoreId +import com.twitter.ml.featurestore.lib.TfwId +import com.twitter.ml.featurestore.lib.TweetId +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.scalding.DateOps +import com.twitter.scalding.RichDate +import com.twitter.scio_internal.job.ScioBeamJob +import com.twitter.statebird.v2.thriftscala.{Environment => StatebirdEnvironment} +import com.twitter.util.Await +import com.twitter.util.FuturePool +import com.twitter.wtf.beam.bq_embedding_export.BQQueryUtils +import java.time.Instant +import java.util.TimeZone +import java.util.concurrent.Executors +import org.apache.beam.sdk.io.FileSystems +import org.apache.beam.sdk.io.fs.ResolveOptions +import org.apache.beam.sdk.io.fs.ResourceId +import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.TypedRead +import org.apache.beam.sdk.options.Default +import org.apache.beam.sdk.options.Description +import org.apache.beam.sdk.transforms.DoFn +import org.apache.beam.sdk.transforms.DoFn._ +import org.apache.beam.sdk.transforms.PTransform +import org.apache.beam.sdk.transforms.ParDo +import org.apache.beam.sdk.values.KV +import org.apache.beam.sdk.values.PCollection +import org.apache.beam.sdk.values.PDone +import org.slf4j.Logger +import org.slf4j.LoggerFactory + +trait ANNOptions extends DateRangeOptions { + @Description("Output GCS path for the generated index") + def getOutputPath(): String + def setOutputPath(value: String): Unit + + @Description("If set, the index is grouped") + @Default.Boolean(false) + def getGrouped: Boolean + def setGrouped(value: Boolean): Unit + + @Description( + "If set, a segment will be registered for the provided DAL dataset module which will trigger " + + "DAL registration.") + @Default.Boolean(false) + def getEnableDalRegistration: Boolean + def setEnableDalRegistration(value: Boolean): Unit + + @Description( + "Output GCS path for the generated index. The OutputPath should be of the format " + + "'gs://user.{{user_name}}.dp.gcp.twttr.net/subDir/outputDir' and OutputDALPath will be " + + "'subDir/outputDir' for this to work") + def getOutputDALPath: String + def setOutputDALPath(value: String): Unit + + @Description("Get ANN index dataset name") + def getDatasetModuleName: String + def setDatasetModuleName(value: String): Unit + + @Description("Get ANN index dataset owner role") + def getDatasetOwnerRole: String + def setDatasetOwnerRole(value: String): Unit + + @Description("If set, index is written in /") + @Default.Boolean(false) + def getOutputWithTimestamp: Boolean + def setOutputWithTimestamp(value: Boolean): Unit + + @Description("File which contains a SQL query to retrieve embeddings from BQ") + def getDatasetSqlPath: String + def setDatasetSqlPath(value: String): Unit + + @Description("Dimension of embedding in the input data. See go/ann") + def getDimension: Int + def setDimension(value: Int): Unit + + @Description("The type of entity ID that is used with the embeddings. See go/ann") + def getEntityKind: String + def setEntityKind(value: String): Unit + + @Description("The kind of index you want to generate (HNSW/Annoy/Brute Force/faiss). See go/ann") + def getAlgo: String + def setAlgo(value: String): Unit + + @Description("Distance metric (InnerProduct/Cosine/L2). See go/ann") + def getMetric: String + def setMetric(value: String): Unit + + @Description("Specifies how many parallel inserts happen to the index. See go/ann") + def getConcurrencyLevel: Int + def setConcurrencyLevel(value: Int): Unit + + @Description( + "Used by HNSW algo. Larger value increases build time but will give better recall. See go/ann") + def getEfConstruction: Int + def setEfConstruction(value: Int): Unit + + @Description( + "Used by HNSW algo. Larger value increases the index size but will give better recall. " + + "See go/ann") + def getMaxM: Int + def setMaxM(value: Int): Unit + + @Description("Used by HNSW algo. Approximate number of elements that will be indexed. See go/ann") + def getExpectedElements: Int + def setExpectedElements(value: Int): Unit + + @Description( + "Used by Annoy. num_trees is provided during build time and affects the build time and the " + + "index size. A larger value will give more accurate results, but larger indexes. See go/ann") + def getAnnoyNumTrees: Int + def setAnnoyNumTrees(value: Int): Unit + + @Description( + "FAISS factory string determines the ANN algorithm and compression. " + + "See https://github.com/facebookresearch/faiss/wiki/The-index-factory") + def getFAISSFactoryString: String + def setFAISSFactoryString(value: String): Unit + + @Description("Sample rate for training during creation of FAISS index. Default is 0.05f") + @Default.Float(0.05f) + def getTrainingSampleRate: Float + def setTrainingSampleRate(value: Float): Unit +} + +/** + * Builds ANN index. + * + * The input embeddings are read from BigQuery using the input SQL query. The output from this SQL + * query needs to have two columns, "entityID" [Long] and "embedding" [List[Double]] + * + * Output directory supported is GCS bucket + */ +object ANNIndexBuilderBeamJob extends ScioBeamJob[ANNOptions] { + val counterNameSpace = "ANNIndexBuilderBeamJob" + val LOG: Logger = LoggerFactory.getLogger(this.getClass) + implicit val timeZone: TimeZone = DateOps.UTC + + def configurePipeline(sc: ScioContext, opts: ANNOptions): Unit = { + val startDate: RichDate = RichDate(opts.interval.getStart.toDate) + val endDate: RichDate = RichDate(opts.interval.getEnd.toDate) + val instant = Instant.now() + val out = { + val base = FileSystems.matchNewResource(opts.getOutputPath, /*isDirectory=*/ true) + if (opts.getOutputWithTimestamp) { + base.resolve( + instant.toEpochMilli.toString, + ResolveOptions.StandardResolveOptions.RESOLVE_DIRECTORY) + } else { + base + } + } + + // Define template variables which we would like to be replaced in the corresponding sql file + val templateVariables = + Map( + "START_DATE" -> startDate.toString(DateOps.DATETIME_HMS_WITH_DASH), + "END_DATE" -> endDate.toString(DateOps.DATETIME_HMS_WITH_DASH) + ) + + val embeddingFetchQuery = + BQQueryUtils.getBQQueryFromSqlFile(opts.getDatasetSqlPath, templateVariables) + + val sCollection = if (opts.getGrouped) { + sc.customInput( + "Read grouped data from BQ", + BigQueryIO + .readClass[GroupedEmbeddingData]() + .fromQuery(embeddingFetchQuery).usingStandardSql() + .withMethod(TypedRead.Method.DIRECT_READ) + ) + } else { + sc.customInput( + "Read flat data from BQ", + BigQueryIO + .readClass[FlatEmbeddingData]().fromQuery(embeddingFetchQuery).usingStandardSql() + .withMethod(TypedRead.Method.DIRECT_READ) + ) + } + + val processedCollection = + sCollection + .flatMap(transformTableRowToKeyVal) + .groupBy(_.getKey) + .map { + case (groupName, groupValue) => + Map(groupName -> groupValue.map(_.getValue)) + } + + val annIndexMetadata = + AnnIndexMetadata(timestamp = Some(instant.getEpochSecond), withGroups = Some(opts.getGrouped)) + + // Count the number of groups and output the ANN index metadata + processedCollection.count.map(count => { + val annGroupedIndexMetadata = annIndexMetadata.copy( + numGroups = Some(count.intValue()) + ) + val indexOutDir = new IndexOutputFile(out) + indexOutDir.writeIndexMetadata(annGroupedIndexMetadata) + }) + + // Generate Index + processedCollection.saveAsCustomOutput( + "Serialise to Disk", + OutputSink( + out, + opts.getAlgo.equals("faiss"), + opts.getOutputDALPath, + opts.getEnableDalRegistration, + opts.getDatasetModuleName, + opts.getDatasetOwnerRole, + instant, + opts.getDate(), + counterNameSpace + ) + ) + } + + def transformTableRowToKeyVal( + data: BaseEmbeddingData + ): Option[KV[String, KV[Long, TEmbedding]]] = { + val transformTable = ScioMetrics.counter(counterNameSpace, "transform_table_row_to_kv") + for { + id <- data.entityId + } yield { + transformTable.inc() + val groupName: String = if (data.isInstanceOf[GroupedEmbeddingData]) { + (data.asInstanceOf[GroupedEmbeddingData]).groupId.get + } else { + "" + } + + KV.of[String, KV[Long, TEmbedding]]( + groupName, + KV.of[Long, TEmbedding]( + id, + EmbeddingSerDe.toThrift(Embedding(data.embedding.map(_.toFloat).toArray))) + ) + } + } + + case class OutputSink( + outDir: ResourceId, + isFaiss: Boolean, + outputDALPath: String, + enableDalRegistration: Boolean, + datasetModuleName: String, + datasetOwnerRole: String, + instant: Instant, + date: DateRange, + counterNameSpace: String) + extends PTransform[PCollection[Map[String, Iterable[KV[Long, TEmbedding]]]], PDone] { + override def expand(input: PCollection[Map[String, Iterable[KV[Long, TEmbedding]]]]): PDone = { + PDone.in { + val dummyOutput = { + if (isFaiss) { + input + .apply( + "Build&WriteFaissANNIndex", + ParDo.of(new BuildFaissANNIndex(outDir, counterNameSpace)) + ) + } else { + input + .apply( + "Build&WriteANNIndex", + ParDo.of(new BuildANNIndex(outDir, counterNameSpace)) + ) + } + } + + if (enableDalRegistration) { + input + .apply( + "Register DAL Dataset", + DalObservedDatasetRegistration( + datasetModuleName, + datasetOwnerRole, + outputDALPath, + instant, + Some(StatebirdEnvironment.Prod), + Some("ANN Index Data Files")) + ) + .getPipeline + } else { + dummyOutput.getPipeline + } + } + } + } + + class BuildANNIndex(outDir: ResourceId, counterNameSpace: String) + extends DoFn[Map[String, Iterable[KV[Long, TEmbedding]]], Unit] { + + def transformKeyValToEmbeddingWithEntity[T <: EntityId]( + entityKind: EntityKind[T] + )( + keyVal: KV[Long, TEmbedding] + ): EntityEmbedding[T] = { + val entityId = entityKind match { + case UserKind => UserId(keyVal.getKey).toThrift + case TweetKind => TweetId(keyVal.getKey).toThrift + case TfwKind => TfwId(keyVal.getKey).toThrift + case SemanticCoreKind => SemanticCoreId(keyVal.getKey).toThrift + case _ => throw new IllegalArgumentException(s"Unsupported embedding kind: $entityKind") + } + EntityEmbedding[T]( + EntityId.fromThrift(entityId).asInstanceOf[T], + EmbeddingSerDe.fromThrift(keyVal.getValue)) + } + + @ProcessElement + def processElement[T <: EntityId, D <: Distance[D]]( + @Element dataGrouped: Map[String, Iterable[KV[Long, TEmbedding]]], + context: ProcessContext + ): Unit = { + val opts = context.getPipelineOptions.as(classOf[ANNOptions]) + val uncastEntityKind = EntityKind.getEntityKind(opts.getEntityKind) + val entityKind = uncastEntityKind.asInstanceOf[EntityKind[T]] + val transformKVtoEmbeddings = + ScioMetrics.counter(counterNameSpace, "transform_kv_to_embeddings") + + val _ = dataGrouped.map { + case (groupName, data) => + val annEmbeddings = data.map { kv => + transformKVtoEmbeddings.inc() + transformKeyValToEmbeddingWithEntity(entityKind)(kv) + } + + val out = { + if (opts.getGrouped && groupName != "") { + outDir.resolve(groupName, ResolveOptions.StandardResolveOptions.RESOLVE_DIRECTORY) + } else { + outDir + } + } + LOG.info(s"Writing output to ${out}") + + val metric = Metric.fromString(opts.getMetric).asInstanceOf[Metric[D]] + val concurrencyLevel = opts.getConcurrencyLevel + val dimension = opts.getDimension + val threadPool = Executors.newFixedThreadPool(concurrencyLevel) + + LOG.info(s"Building ANN index of type ${opts.getAlgo}") + val serialization = opts.getAlgo match { + case "brute_force" => + val PersistedEmbeddingIO = + new ThriftIteratorIO[PersistedEmbedding](PersistedEmbedding) + SerializableBruteForceIndex( + metric, + FuturePool.apply(threadPool), + new PersistedEmbeddingInjection(entityKind.byteInjection), + PersistedEmbeddingIO + ) + case "annoy" => + TypedAnnoyIndex.indexBuilder( + dimension, + opts.getAnnoyNumTrees, + metric, + entityKind.byteInjection, + FuturePool.apply(threadPool) + ) + case "hnsw" => + val efConstruction = opts.getEfConstruction + val maxM = opts.getMaxM + val expectedElements = opts.getExpectedElements + TypedHnswIndex.serializableIndex( + dimension, + metric, + efConstruction, + maxM, + expectedElements, + entityKind.byteInjection, + ReadWriteFuturePool(FuturePool.apply(threadPool)) + ) + } + + val future = + IndexBuilderUtils.addToIndex(serialization, annEmbeddings.toSeq, concurrencyLevel) + Await.result(future.map { _ => + serialization.toDirectory(out) + }) + } + } + } + + class BuildFaissANNIndex(outDir: ResourceId, counterNameSpace: String) + extends DoFn[Map[String, Iterable[KV[Long, TEmbedding]]], Unit] { + + @ProcessElement + def processElement[D <: Distance[D]]( + @Element dataGrouped: Map[String, Iterable[KV[Long, TEmbedding]]], + context: ProcessContext + ): Unit = { + val opts = context.getPipelineOptions.as(classOf[ANNOptions]) + val transformKVtoEmbeddings = + ScioMetrics.counter(counterNameSpace, "transform_kv_to_embeddings") + + val _ = dataGrouped.map { + case (groupName, data) => + val out = { + if (opts.getGrouped && groupName != "") { + outDir.resolve(groupName, ResolveOptions.StandardResolveOptions.RESOLVE_DIRECTORY) + } else { + outDir + } + } + LOG.info(s"Writing output to ${out}") + + val metric = Metric.fromString(opts.getMetric).asInstanceOf[Metric[D]] + val maybeNormalizedPipe = data.map { kv => + transformKVtoEmbeddings.inc() + val embedding = EmbeddingSerDe.floatEmbeddingSerDe.fromThrift(kv.getValue) + EntityEmbedding[Long]( + kv.getKey, + if (metric == Cosine) { + EmbeddingMath.Float.normalize(embedding) + } else { + embedding + } + ) + } + + // Generate Index + FaissIndexer.buildAndWriteFaissIndex( + maybeNormalizedPipe, + opts.getTrainingSampleRate, + opts.getFAISSFactoryString, + metric, + new IndexOutputFile(out)) + } + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/dataflow/offline/BUILD b/ann/src/main/scala/com/twitter/ann/dataflow/offline/BUILD new file mode 100644 index 000000000..b88ee213e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/dataflow/offline/BUILD @@ -0,0 +1,27 @@ +scala_library( + name = "index_builder_lib", + sources = [ + "*.scala", + ], + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/spotify:scio-core", + "3rdparty/jvm/org/apache/beam:beam-sdks-java-core", + "ann/src/main/java/com/twitter/ann/faiss", + "ann/src/main/scala/com/twitter/ann/annoy", + "ann/src/main/scala/com/twitter/ann/brute_force", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/faiss", + "ann/src/main/scala/com/twitter/ann/hnsw", + "ann/src/main/scala/com/twitter/ann/serialization", + "ann/src/main/scala/com/twitter/ann/util", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "beam-internal/src/main/scala/com/twitter/beam/io/bigquery", + "beam-internal/src/main/scala/com/twitter/beam/io/dal", + "beam-internal/src/main/scala/com/twitter/beam/job", + "beam-internal/src/main/scala/com/twitter/scio_internal/runner/dataflow", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "src/scala/com/twitter/ml/featurestore/lib", + "src/scala/com/twitter/wtf/beam/bq_embedding_export:bq_embedding_export_lib", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/dataflow/offline/BaseEmbeddingData.scala b/ann/src/main/scala/com/twitter/ann/dataflow/offline/BaseEmbeddingData.scala new file mode 100644 index 000000000..a9a291d07 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/dataflow/offline/BaseEmbeddingData.scala @@ -0,0 +1,6 @@ +package com.twitter.ann.dataflow.offline + +trait BaseEmbeddingData { + val entityId: Option[Long] + val embedding: Seq[Double] +} diff --git a/ann/src/main/scala/com/twitter/ann/dataflow/offline/FlatEmbeddingData.scala b/ann/src/main/scala/com/twitter/ann/dataflow/offline/FlatEmbeddingData.scala new file mode 100644 index 000000000..ad211fb68 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/dataflow/offline/FlatEmbeddingData.scala @@ -0,0 +1,8 @@ +package com.twitter.ann.dataflow.offline + +import com.twitter.beam.schemas.SchemaFieldName + +case class FlatEmbeddingData( + @SchemaFieldName("entityId") entityId: Option[Long], + @SchemaFieldName("embedding") embedding: Seq[Double]) + extends BaseEmbeddingData diff --git a/ann/src/main/scala/com/twitter/ann/dataflow/offline/GroupedEmbeddingData.scala b/ann/src/main/scala/com/twitter/ann/dataflow/offline/GroupedEmbeddingData.scala new file mode 100644 index 000000000..63342272f --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/dataflow/offline/GroupedEmbeddingData.scala @@ -0,0 +1,9 @@ +package com.twitter.ann.dataflow.offline + +import com.twitter.beam.schemas.SchemaFieldName + +case class GroupedEmbeddingData( + @SchemaFieldName("entityId") entityId: Option[Long], + @SchemaFieldName("embedding") embedding: Seq[Double], + @SchemaFieldName("groupId") groupId: Option[String], +) extends BaseEmbeddingData diff --git a/ann/src/main/scala/com/twitter/ann/experimental/BUILD.bazel b/ann/src/main/scala/com/twitter/ann/experimental/BUILD.bazel new file mode 100644 index 000000000..8335984c1 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/experimental/BUILD.bazel @@ -0,0 +1,29 @@ +scala_library( + name = "server", + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-only"], + dependencies = [ + "ann/src/main/scala/com/twitter/ann/annoy", + "ann/src/main/scala/com/twitter/ann/brute_force", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/hnsw", + ], +) + +hadoop_binary( + name = "benchmarking", + basename = "benchmarking", + main = "com.twitter.ann.experimental.Runner", + platform = "java8", + runtime_platform = "java8", + tags = [ + "bazel-compatible", + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [ + ":server", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/experimental/Runner.scala b/ann/src/main/scala/com/twitter/ann/experimental/Runner.scala new file mode 100644 index 000000000..da0d5e3ee --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/experimental/Runner.scala @@ -0,0 +1,171 @@ +package com.twitter.ann.experimental + +import com.twitter.ann.annoy.{AnnoyRuntimeParams, TypedAnnoyIndex} +import com.twitter.ann.brute_force.{BruteForceIndex, BruteForceRuntimeParams} +import com.twitter.ann.common.{Cosine, CosineDistance, EntityEmbedding, ReadWriteFuturePool} +import com.twitter.ann.hnsw.{HnswParams, TypedHnswIndex} +import com.twitter.bijection.Injection +import com.twitter.ml.api.embedding.Embedding +import com.twitter.search.common.file.LocalFile +import com.twitter.util.{Await, Future, FuturePool} +import java.nio.file.Files +import java.util +import java.util.concurrent.Executors +import java.util.{Collections, Random} +import scala.collection.JavaConverters._ +import scala.collection.mutable + +object Runner { + def main(args: Array[String]): Unit = { + val rng = new Random() + val dimen = 300 + val neighbours = 20 + val trainDataSetSize = 2000 + val testDataSetSize = 30 + + // Hnsw (ef -> (time, recall)) + val hnswEfConfig = new mutable.HashMap[Int, (Float, Float)] + val efConstruction = 200 + val maxM = 16 + val threads = 24 + val efSearch = + Seq(20, 30, 50, 70, 100, 120) + efSearch.foreach(hnswEfConfig.put(_, (0.0f, 0.0f))) + + // Annoy (nodes to explore -> (time, recall)) + val numOfTrees = 80 + val annoyConfig = new mutable.HashMap[Int, (Float, Float)] + val nodesToExplore = Seq(0, 2000, 3000, 5000, 7000, 10000, 15000, 20000, + 30000, 35000, 40000, 50000) + nodesToExplore.foreach(annoyConfig.put(_, (0.0f, 0.0f))) + val injection = Injection.int2BigEndian + val distance = Cosine + val exec = Executors.newFixedThreadPool(threads) + val pool = FuturePool.apply(exec) + val hnswMultiThread = + TypedHnswIndex.index[Int, CosineDistance]( + dimen, + distance, + efConstruction = efConstruction, + maxM = maxM, + trainDataSetSize, + ReadWriteFuturePool(pool) + ) + + val bruteforce = BruteForceIndex[Int, CosineDistance](distance, pool) + val annoyBuilder = + TypedAnnoyIndex.indexBuilder(dimen, numOfTrees, distance, injection, FuturePool.immediatePool) + val temp = new LocalFile(Files.createTempDirectory("test").toFile) + + println("Creating bruteforce.........") + val data = + Collections.synchronizedList(new util.ArrayList[EntityEmbedding[Int]]()) + val bruteforceFutures = 1 to trainDataSetSize map { id => + val vec = Array.fill(dimen)(rng.nextFloat() * 50) + val emb = EntityEmbedding[Int](id, Embedding(vec)) + data.add(emb) + bruteforce.append(emb) + } + + Await.result(Future.collect(bruteforceFutures)) + + println("Creating hnsw multithread test.........") + val (_, multiThreadInsertion) = time { + Await.result(Future.collect(data.asScala.toList.map { emb => + hnswMultiThread.append(emb) + })) + } + + println("Creating annoy.........") + val (_, annoyTime) = time { + Await.result(Future.collect(data.asScala.toList.map(emb => + annoyBuilder.append(emb)))) + annoyBuilder.toDirectory(temp) + } + + val annoyQuery = TypedAnnoyIndex.loadQueryableIndex( + dimen, + Cosine, + injection, + FuturePool.immediatePool, + temp + ) + + val hnswQueryable = hnswMultiThread.toQueryable + + println(s"Total train size : $trainDataSetSize") + println(s"Total querySize : $testDataSetSize") + println(s"Dimension : $dimen") + println(s"Distance type : $distance") + println(s"Annoy index creation time trees: $numOfTrees => $annoyTime ms") + println( + s"Hnsw multi thread creation time : $multiThreadInsertion ms efCons: $efConstruction maxM $maxM thread : $threads") + println("Querying.........") + var bruteForceTime = 0.0f + 1 to testDataSetSize foreach { id => + println("Querying id " + id) + val embedding = Embedding(Array.fill(dimen)(rng.nextFloat())) + + val (list, timeTakenB) = + time( + Await + .result( + bruteforce.query(embedding, neighbours, BruteForceRuntimeParams)) + .toSet) + bruteForceTime += timeTakenB + + val annoyConfigCopy = annoyConfig.toMap + val hnswEfConfigCopy = hnswEfConfig.toMap + + hnswEfConfigCopy.keys.foreach { ef => + val (nn, timeTaken) = + time(Await + .result(hnswQueryable.query(embedding, neighbours, HnswParams(ef))) + .toSet) + val recall = (list.intersect(nn).size) * 1.0f / neighbours + val (oldTime, oldRecall) = hnswEfConfig(ef) + hnswEfConfig.put(ef, (oldTime + timeTaken, oldRecall + recall)) + } + + annoyConfigCopy.keys.foreach { nodes => + val (nn, timeTaken) = + time( + Await.result( + annoyQuery + .query(embedding, + neighbours, + AnnoyRuntimeParams(nodesToExplore = Some(nodes))) + .map(_.toSet))) + val recall = (list.intersect(nn).size) * 1.0f / neighbours + val (oldTime, oldRecall) = annoyConfig(nodes) + annoyConfig.put(nodes, (oldTime + timeTaken, oldRecall + recall)) + } + } + + println( + s"Bruteforce avg query time : ${bruteForceTime / testDataSetSize} ms") + + efSearch.foreach { ef => + val data = hnswEfConfig(ef) + println( + s"Hnsw avg recall and time with query ef : $ef => ${data._2 / testDataSetSize} ${data._1 / testDataSetSize} ms" + ) + } + + nodesToExplore.foreach { n => + val data = annoyConfig(n) + println( + s"Annoy avg recall and time with nodes_to_explore : $n => ${data._2 / testDataSetSize} ${data._1 / testDataSetSize} ms" + ) + } + + exec.shutdown() + } + + def time[T](fn: => T): (T, Long) = { + val start = System.currentTimeMillis() + val result = fn + val end = System.currentTimeMillis() + (result, (end - start)) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/faiss/BUILD b/ann/src/main/scala/com/twitter/ann/faiss/BUILD new file mode 100644 index 000000000..dd09cbbae --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/faiss/BUILD @@ -0,0 +1,23 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/org/mapdb", + "ann/src/main/java/com/twitter/ann/faiss", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/serialization", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "mediaservices/commons/src/main/scala:futuretracker", + "src/java/com/twitter/common_internal/hadoop", + "src/java/com/twitter/search/common/file", + "src/scala/com/twitter/ml/api/embedding", + ], + exports = [ + "ann/src/main/scala/com/twitter/ann/common", + "src/java/com/twitter/common_internal/hadoop", + "src/java/com/twitter/search/common/file", + "src/scala/com/twitter/ml/api/embedding", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/faiss/FaissCommon.scala b/ann/src/main/scala/com/twitter/ann/faiss/FaissCommon.scala new file mode 100644 index 000000000..96f40708e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/faiss/FaissCommon.scala @@ -0,0 +1,44 @@ +package com.twitter.ann.faiss + +import com.twitter.ann.common.thriftscala.FaissRuntimeParam +import com.twitter.bijection.Injection +import scala.util.Failure +import scala.util.Success +import scala.util.Try +import com.twitter.ann.common.thriftscala.{RuntimeParams => ServiceRuntimeParams} +import com.twitter.search.common.file.AbstractFile + +object FaissCommon { + val RuntimeParamsInjection: Injection[FaissParams, ServiceRuntimeParams] = + new Injection[FaissParams, ServiceRuntimeParams] { + override def apply(scalaParams: FaissParams): ServiceRuntimeParams = { + ServiceRuntimeParams.FaissParam( + FaissRuntimeParam( + scalaParams.nprobe, + scalaParams.quantizerEf, + scalaParams.quantizerKFactorRF, + scalaParams.quantizerNprobe, + scalaParams.ht) + ) + } + + override def invert(thriftParams: ServiceRuntimeParams): Try[FaissParams] = + thriftParams match { + case ServiceRuntimeParams.FaissParam(faissParam) => + Success( + FaissParams( + faissParam.nprobe, + faissParam.quantizerEf, + faissParam.quantizerKfactorRf, + faissParam.quantizerNprobe, + faissParam.ht)) + case p => Failure(new IllegalArgumentException(s"Expected FaissParams got $p")) + } + } + + def isValidFaissIndex(path: AbstractFile): Boolean = { + path.isDirectory && + path.hasSuccessFile && + path.getChild("faiss.index").exists() + } +} diff --git a/ann/src/main/scala/com/twitter/ann/faiss/FaissIndex.scala b/ann/src/main/scala/com/twitter/ann/faiss/FaissIndex.scala new file mode 100644 index 000000000..63930247a --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/faiss/FaissIndex.scala @@ -0,0 +1,43 @@ +package com.twitter.ann.faiss + +import com.twitter.ann.common.Queryable +import com.twitter.ann.common._ +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.logging.Logging + +case class FaissParams( + nprobe: Option[Int], + quantizerEf: Option[Int], + quantizerKFactorRF: Option[Int], + quantizerNprobe: Option[Int], + ht: Option[Int]) + extends RuntimeParams { + override def toString: String = s"FaissParams(${toLibraryString})" + + def toLibraryString: String = + Seq( + nprobe.map { n => s"nprobe=${n}" }, + quantizerEf.map { ef => s"quantizer_efSearch=${ef}" }, + quantizerKFactorRF.map { k => s"quantizer_k_factor_rf=${k}" }, + quantizerNprobe.map { n => s"quantizer_nprobe=${n}" }, + ht.map { ht => s"ht=${ht}" }, + ).flatten.mkString(",") +} + +object FaissIndex { + def loadIndex[T, D <: Distance[D]]( + outerDimension: Int, + outerMetric: Metric[D], + directory: AbstractFile + ): Queryable[T, FaissParams, D] = { + new QueryableIndexAdapter[T, D] with Logging { + protected val metric: Metric[D] = outerMetric + protected val dimension: Int = outerDimension + protected val index: Index = { + info(s"Loading faiss with ${swigfaiss.get_compile_options()}") + + QueryableIndexAdapter.loadJavaIndex(directory) + } + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/faiss/FaissIndexer.scala b/ann/src/main/scala/com/twitter/ann/faiss/FaissIndexer.scala new file mode 100644 index 000000000..bb6cae0b5 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/faiss/FaissIndexer.scala @@ -0,0 +1,154 @@ +package com.twitter.ann.faiss + +import com.google.common.base.Preconditions +import com.twitter.ann.common.Cosine +import com.twitter.ann.common.Distance +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.IndexOutputFile +import com.twitter.ann.common.InnerProduct +import com.twitter.ann.common.L2 +import com.twitter.ann.common.Metric +import com.twitter.ml.api.embedding.EmbeddingMath +import com.twitter.scalding.Execution +import com.twitter.scalding.TypedPipe +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.FileUtils +import com.twitter.util.logging.Logging +import java.io.File +import scala.util.Random + +trait FaissIndexer extends Logging { + + /** + * Produce faiss index file specified by factory string + * + * @param pipe Embeddings to be indexed + * @param sampleRate Fraction of embeddings used for training. Regardless of this parameter, all embeddings are present in the output. + * @param factoryString Faiss factory string, see https://github.com/facebookresearch/faiss/wiki/The-index-factory + * @param metric Metric to use + * @param outputDirectory Directory where _SUCCESS and faiss.index will be written. + */ + def build[D <: Distance[D]]( + pipe: TypedPipe[EntityEmbedding[Long]], + sampleRate: Float, + factoryString: String, + metric: Metric[D], + outputDirectory: AbstractFile + ): Execution[Unit] = { + outputDirectory.mkdirs() + Preconditions.checkState( + outputDirectory.canRead, + "Failed to create parent directories for %s", + outputDirectory.toString) + + val maybeNormalizedPipe = if (l2Normalize(metric)) { + pipe.map { idAndEmbedding => + EntityEmbedding(idAndEmbedding.id, EmbeddingMath.Float.normalize(idAndEmbedding.embedding)) + } + } else { + pipe + } + + maybeNormalizedPipe.toIterableExecution.flatMap { annEmbeddings => + logger.info(s"${factoryString}") + val t1 = System.nanoTime + buildAndWriteFaissIndex( + Random.shuffle(annEmbeddings), + sampleRate, + factoryString, + metric, + new IndexOutputFile(outputDirectory)) + val duration = (System.nanoTime - t1) / 1e9d + logger.info(s"It took ${duration}s to build and index") + + Execution.unit + } + } + + def buildAndWriteFaissIndex[D <: Distance[D]]( + entities: Iterable[EntityEmbedding[Long]], + sampleRate: Float, + factoryString: String, + metricType: Metric[D], + outputDirectory: IndexOutputFile + ): Unit = { + val metric = parseMetric(metricType) + val datasetSize = entities.size.toLong + val dimensions = entities.head.embedding.length + logger.info(s"There are $datasetSize embeddings") + logger.info(s"Faiss compile options are ${swigfaiss.get_compile_options()}") + logger.info(s"OMP threads count is ${swigfaiss.omp_get_max_threads()}") + + val index = swigfaiss.index_factory(dimensions, factoryString, metric) + index.setVerbose(true) + val idMap = new IndexIDMap(index) + + val trainingSetSize = Math.min(datasetSize, Math.round(datasetSize * sampleRate)) + val ids = toIndexVector(entities) + val fullDataset = toFloatVector(dimensions, entities) + logger.info("Finished bridging full dataset") + idMap.train(trainingSetSize, fullDataset.data()) + logger.info("Finished training") + idMap.add_with_ids(datasetSize, fullDataset.data(), ids) + logger.info("Added data to the index") + + val tmpFile = File.createTempFile("faiss.index", ".tmp") + swigfaiss.write_index(idMap, tmpFile.toString) + logger.info(s"Wrote to tmp file ${tmpFile.toString}") + copyToOutputAndCreateSuccess(FileUtils.getFileHandle(tmpFile.toString), outputDirectory) + logger.info("Copied file") + } + + private def copyToOutputAndCreateSuccess( + tmpFile: AbstractFile, + outputDirectory: IndexOutputFile + ) = { + val outputFile = outputDirectory.createFile("faiss.index") + logger.info(s"Final output file is ${outputFile.getPath()}") + outputFile.copyFrom(tmpFile.getByteSource.openStream()) + outputDirectory.createSuccessFile() + } + + private def toFloatVector( + dimensions: Int, + entities: Iterable[EntityEmbedding[Long]] + ): FloatVector = { + require(entities.nonEmpty) + + val vector = new FloatVector() + vector.reserve(dimensions.toLong * entities.size.toLong) + for (entity <- entities) { + for (value <- entity.embedding) { + vector.push_back(value) + } + } + + vector + } + + private def toIndexVector(embeddings: Iterable[EntityEmbedding[Long]]): LongVector = { + require(embeddings.nonEmpty) + + val vector = new LongVector() + vector.reserve(embeddings.size) + for (embedding <- embeddings) { + vector.push_back(embedding.id) + } + + vector + } + + private def parseMetric[D <: Distance[D]](metric: Metric[D]): MetricType = metric match { + case L2 => MetricType.METRIC_L2 + case InnerProduct => MetricType.METRIC_INNER_PRODUCT + case Cosine => MetricType.METRIC_INNER_PRODUCT + case _ => throw new AbstractMethodError(s"Not implemented for metric ${metric}") + } + + private def l2Normalize[D <: Distance[D]](metric: Metric[D]): Boolean = metric match { + case Cosine => true + case _ => false + } +} + +object FaissIndexer extends FaissIndexer {} diff --git a/ann/src/main/scala/com/twitter/ann/faiss/HourlyDirectoryWithSuccessFileListing.scala b/ann/src/main/scala/com/twitter/ann/faiss/HourlyDirectoryWithSuccessFileListing.scala new file mode 100644 index 000000000..938ee80ed --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/faiss/HourlyDirectoryWithSuccessFileListing.scala @@ -0,0 +1,64 @@ +package com.twitter.ann.faiss + +import com.twitter.conversions.DurationOps.richDurationFromInt +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.FileUtils +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Time +import com.twitter.util.Try +import com.twitter.util.logging.Logging +import java.util.Locale + +object HourlyDirectoryWithSuccessFileListing extends Logging { + private val SUCCESS_FILE_NAME = "_SUCCESS" + + def listHourlyIndexDirectories( + root: AbstractFile, + startingFrom: Time, + count: Int, + lookbackInterval: Int + ): Seq[AbstractFile] = listingStep(root, startingFrom, count, lookbackInterval) + + private def listingStep( + root: AbstractFile, + startingFrom: Time, + remainingDirectoriesToFind: Int, + remainingAttempts: Int + ): List[AbstractFile] = { + if (remainingDirectoriesToFind == 0 || remainingAttempts == 0) { + return List.empty + } + + val head = getSuccessfulDirectoryForDate(root, startingFrom) + + val previousHour = startingFrom - 1.hour + + head match { + case Throw(e) => + listingStep(root, previousHour, remainingDirectoriesToFind, remainingAttempts - 1) + case Return(directory) => + directory :: + listingStep(root, previousHour, remainingDirectoriesToFind - 1, remainingAttempts - 1) + } + } + + private def getSuccessfulDirectoryForDate( + root: AbstractFile, + date: Time + ): Try[AbstractFile] = { + val folder = root.getPath + "/" + date.format("yyyy/MM/dd/HH", Locale.ROOT) + val successPath = + folder + "/" + SUCCESS_FILE_NAME + + debug(s"Checking ${successPath}") + + Try(FileUtils.getFileHandle(successPath)).flatMap { file => + if (file.canRead) { + Try(FileUtils.getFileHandle(folder)) + } else { + Throw(new IllegalArgumentException(s"Found ${file.toString} but can't read it")) + } + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/faiss/HourlyShardedIndex.scala b/ann/src/main/scala/com/twitter/ann/faiss/HourlyShardedIndex.scala new file mode 100644 index 000000000..9d8d94218 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/faiss/HourlyShardedIndex.scala @@ -0,0 +1,94 @@ +package com.twitter.ann.faiss + +import com.twitter.ann.common.Distance +import com.twitter.ann.common.MemoizedInEpochs +import com.twitter.ann.common.Metric +import com.twitter.ann.common.Task +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import com.twitter.util.Try +import com.twitter.util.logging.Logging +import java.util.concurrent.atomic.AtomicReference + +object HourlyShardedIndex { + def loadIndex[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + directory: AbstractFile, + shardsToLoad: Int, + shardWatchInterval: Duration, + lookbackInterval: Int, + statsReceiver: StatsReceiver + ): HourlyShardedIndex[T, D] = { + new HourlyShardedIndex[T, D]( + metric, + dimension, + directory, + shardsToLoad, + shardWatchInterval, + lookbackInterval, + statsReceiver) + } +} + +class HourlyShardedIndex[T, D <: Distance[D]]( + outerMetric: Metric[D], + outerDimension: Int, + directory: AbstractFile, + shardsToLoad: Int, + shardWatchInterval: Duration, + lookbackInterval: Int, + override protected val statsReceiver: StatsReceiver) + extends QueryableIndexAdapter[T, D] + with Logging + with Task { + // QueryableIndexAdapter + protected val metric: Metric[D] = outerMetric + protected val dimension: Int = outerDimension + protected def index: Index = { + castedIndex.get() + } + + // Task trait + protected def task(): Future[Unit] = Future.value(reloadShards()) + protected def taskInterval: Duration = shardWatchInterval + + private def loadIndex(directory: AbstractFile): Try[Index] = + Try(QueryableIndexAdapter.loadJavaIndex(directory)) + + private val shardsCache = new MemoizedInEpochs[AbstractFile, Index](loadIndex) + // Destroying original index invalidate casted index. Keep a reference to both. + private val originalIndex = new AtomicReference[IndexShards]() + private val castedIndex = new AtomicReference[Index]() + private def reloadShards(): Unit = { + val freshDirectories = + HourlyDirectoryWithSuccessFileListing.listHourlyIndexDirectories( + directory, + Time.now, + shardsToLoad, + lookbackInterval) + + if (shardsCache.currentEpochKeys == freshDirectories.toSet) { + info("Not reloading shards, as they're exactly same") + } else { + val shards = shardsCache.epoch(freshDirectories) + val indexShards = new IndexShards(dimension, false, false) + for (shard <- shards) { + indexShards.add_shard(shard) + } + + replaceIndex(() => { + castedIndex.set(swigfaiss.upcast_IndexShards(indexShards)) + originalIndex.set(indexShards) + }) + + // Potentially it's time to drop huge native index from memory, ask for GC + System.gc() + } + + require(castedIndex.get() != null, "Failed to find any shards during startup") + } +} diff --git a/ann/src/main/scala/com/twitter/ann/faiss/QueryableIndexAdapter.scala b/ann/src/main/scala/com/twitter/ann/faiss/QueryableIndexAdapter.scala new file mode 100644 index 000000000..642e7d208 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/faiss/QueryableIndexAdapter.scala @@ -0,0 +1,196 @@ +package com.twitter.ann.faiss + +import com.twitter.ann.common.Cosine +import com.twitter.ann.common.Distance +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common.Metric +import com.twitter.ann.common.NeighborWithDistance +import com.twitter.ann.common.Queryable +import com.twitter.ml.api.embedding.EmbeddingMath +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.FileUtils +import com.twitter.util.Future +import com.twitter.util.logging.Logging +import java.io.File +import java.util.concurrent.locks.ReentrantReadWriteLock + +object QueryableIndexAdapter extends Logging { + // swigfaiss.read_index doesn't support hdfs files, hence a copy to temporary directory + def loadJavaIndex(directory: AbstractFile): Index = { + val indexFile = directory.getChild("faiss.index") + val tmpFile = File.createTempFile("faiss.index", ".tmp") + val tmpAbstractFile = FileUtils.getFileHandle(tmpFile.toString) + indexFile.copyTo(tmpAbstractFile) + val index = swigfaiss.read_index(tmpAbstractFile.getPath) + + if (!tmpFile.delete()) { + error(s"Failed to delete ${tmpFile.toString}") + } + + index + } +} + +trait QueryableIndexAdapter[T, D <: Distance[D]] extends Queryable[T, FaissParams, D] { + this: Logging => + + private val MAX_COSINE_DISTANCE = 1f + + protected def index: Index + protected val metric: Metric[D] + protected val dimension: Int + + private def maybeNormalizeEmbedding(embeddingVector: EmbeddingVector): EmbeddingVector = { + // There is no direct support for Cosine, but l2norm + ip == Cosine by definition + if (metric == Cosine) { + EmbeddingMath.Float.normalize(embeddingVector) + } else { + embeddingVector + } + } + + private def maybeTranslateToCosineDistanceInplace(array: floatArray, len: Int): Unit = { + // Faiss reports Cosine similarity while we need Cosine distance. + if (metric == Cosine) { + for (index <- 0 until len) { + val similarity = array.getitem(index) + if (similarity < 0 || similarity > 1) { + warn(s"Expected similarity to be between 0 and 1, got ${similarity} instead") + array.setitem(index, MAX_COSINE_DISTANCE) + } else { + array.setitem(index, 1 - similarity) + } + } + } + } + + private val paramsLock = new ReentrantReadWriteLock() + private var currentParams: Option[String] = None + // Assume that parameters rarely change and try read lock first + private def ensuringParams[R](parameterString: String, f: () => R): R = { + paramsLock.readLock().lock() + try { + if (currentParams.contains(parameterString)) { + return f() + } + } finally { + paramsLock.readLock().unlock() + } + + paramsLock.writeLock().lock() + try { + currentParams = Some(parameterString) + new ParameterSpace().set_index_parameters(index, parameterString) + + f() + } finally { + paramsLock.writeLock().unlock() + } + } + + def replaceIndex(f: () => Unit): Unit = { + paramsLock.writeLock().lock() + try { + currentParams = None + + f() + } finally { + paramsLock.writeLock().unlock() + } + } + + def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: FaissParams + ): Future[List[T]] = { + Future.value( + ensuringParams( + runtimeParams.toLibraryString, + () => { + val distances = new floatArray(numOfNeighbors) + val indexes = new LongVector() + indexes.resize(numOfNeighbors) + + val normalizedEmbedding = maybeNormalizeEmbedding(embedding) + index.search( + // Number of query embeddings + 1, + // Array of query embeddings + toFloatArray(normalizedEmbedding).cast(), + // Number of neighbours to return + numOfNeighbors, + // Location to store neighbour distances + distances.cast(), + // Location to store neighbour identifiers + indexes + ) + // This is a shortcoming of current swig bindings + // Nothing prevents JVM from freeing distances while inside index.search + // This might be removed once we start passing FloatVector + // Why java.lang.ref.Reference.reachabilityFence doesn't compile? + debug(distances) + + toSeq(indexes, numOfNeighbors).toList.asInstanceOf[List[T]] + } + )) + } + + def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: FaissParams + ): Future[List[NeighborWithDistance[T, D]]] = { + Future.value( + ensuringParams( + runtimeParams.toLibraryString, + () => { + val distances = new floatArray(numOfNeighbors) + val indexes = new LongVector() + indexes.resize(numOfNeighbors) + + val normalizedEmbedding = maybeNormalizeEmbedding(embedding) + index.search( + // Number of query embeddings + 1, + // Array of query embeddings + toFloatArray(normalizedEmbedding).cast(), + // Number of neighbours to return + numOfNeighbors, + // Location to store neighbour distances + distances.cast(), + // Location to store neighbour identifiers + indexes + ) + + val ids = toSeq(indexes, numOfNeighbors).toList.asInstanceOf[List[T]] + + maybeTranslateToCosineDistanceInplace(distances, numOfNeighbors) + + val distancesSeq = toSeq(distances, numOfNeighbors) + + ids.zip(distancesSeq).map { + case (id, distance) => + NeighborWithDistance(id, metric.fromAbsoluteDistance(distance)) + } + } + )) + } + + private def toFloatArray(emb: EmbeddingVector): floatArray = { + val nativeArray = new floatArray(emb.length) + for ((value, aIdx) <- emb.iterator.zipWithIndex) { + nativeArray.setitem(aIdx, value) + } + + nativeArray + } + + private def toSeq(vector: LongVector, len: Long): Seq[Long] = { + (0L until len).map(vector.at) + } + + private def toSeq(array: floatArray, len: Int): Seq[Float] = { + (0 until len).map(array.getitem) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/featurestore/BUILD b/ann/src/main/scala/com/twitter/ann/featurestore/BUILD new file mode 100644 index 000000000..959745b92 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/featurestore/BUILD @@ -0,0 +1,10 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/scala/com/twitter/ann/common", + "src/scala/com/twitter/ml/featurestore/lib", + "src/scala/com/twitter/ml/featurestore/lib/online", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/featurestore/FeatureStoreEmbeddingProducer.scala b/ann/src/main/scala/com/twitter/ann/featurestore/FeatureStoreEmbeddingProducer.scala new file mode 100644 index 000000000..d71720ea4 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/featurestore/FeatureStoreEmbeddingProducer.scala @@ -0,0 +1,66 @@ +package com.twitter.ann.featurestore + +import com.twitter.ann.common.EmbeddingProducer +import com.twitter.finagle.stats.{InMemoryStatsReceiver, StatsReceiver} +import com.twitter.ml.api.embedding.{Embedding, EmbeddingSerDe} +import com.twitter.ml.api.thriftscala +import com.twitter.ml.api.thriftscala.{Embedding => TEmbedding} +import com.twitter.ml.featurestore.lib.dataset.online.VersionedOnlineAccessDataset +import com.twitter.ml.featurestore.lib.{EntityId, RawFloatTensor} +import com.twitter.ml.featurestore.lib.dataset.DatasetParams +import com.twitter.ml.featurestore.lib.entity.EntityWithId +import com.twitter.ml.featurestore.lib.feature.{BoundFeature, BoundFeatureSet} +import com.twitter.ml.featurestore.lib.online.{FeatureStoreClient, FeatureStoreRequest} +import com.twitter.ml.featurestore.lib.params.FeatureStoreParams +import com.twitter.stitch.Stitch +import com.twitter.strato.opcontext.Attribution +import com.twitter.strato.client.Client + +object FeatureStoreEmbeddingProducer { + def apply[T <: EntityId]( + dataset: VersionedOnlineAccessDataset[T, TEmbedding], + version: Long, + boundFeature: BoundFeature[T, RawFloatTensor], + client: Client, + statsReceiver: StatsReceiver = new InMemoryStatsReceiver, + featureStoreAttributions: Seq[Attribution] = Seq.empty + ): EmbeddingProducer[EntityWithId[T]] = { + val featureStoreParams = FeatureStoreParams( + perDataset = Map( + dataset.id -> DatasetParams(datasetVersion = Some(version)) + ), + global = DatasetParams(attributions = featureStoreAttributions) + ) + val featureStoreClient = FeatureStoreClient( + BoundFeatureSet(boundFeature), + client, + statsReceiver, + featureStoreParams + ) + new FeatureStoreEmbeddingProducer(boundFeature, featureStoreClient) + } +} + +private[featurestore] class FeatureStoreEmbeddingProducer[T <: EntityId]( + boundFeature: BoundFeature[T, RawFloatTensor], + featureStoreClient: FeatureStoreClient) + extends EmbeddingProducer[EntityWithId[T]] { + // Looks up embedding from online feature store for an entity. + override def produceEmbedding(input: EntityWithId[T]): Stitch[Option[Embedding[Float]]] = { + val featureStoreRequest = FeatureStoreRequest( + entityIds = Seq(input) + ) + + Stitch.callFuture(featureStoreClient(featureStoreRequest).map { predictionRecord => + predictionRecord.getFeatureValue(boundFeature) match { + case Some(featureValue) => { + val embedding = EmbeddingSerDe.floatEmbeddingSerDe.fromThrift( + thriftscala.Embedding(Some(featureValue.value)) + ) + Some(embedding) + } + case _ => None + } + }) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/file_store/BUILD b/ann/src/main/scala/com/twitter/ann/file_store/BUILD new file mode 100644 index 000000000..1b7ca6f81 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/file_store/BUILD @@ -0,0 +1,12 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "mediaservices/commons/src/main/scala", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/file_store/ReadableIndexIdFileStore.scala b/ann/src/main/scala/com/twitter/ann/file_store/ReadableIndexIdFileStore.scala new file mode 100644 index 000000000..8886abaa8 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/file_store/ReadableIndexIdFileStore.scala @@ -0,0 +1,35 @@ +package com.twitter.ann.file_store + +import com.twitter.ann.common.thriftscala.FileBasedIndexIdStore +import com.twitter.bijection.Injection +import com.twitter.mediaservices.commons.codec.{ArrayByteBufferCodec, ThriftByteBufferCodec} +import com.twitter.search.common.file.AbstractFile +import com.twitter.storehaus.ReadableStore +import java.nio.ByteBuffer + +object ReadableIndexIdFileStore { + + /** + * @param file : File path to read serialized long indexId <-> Id mapping from. + * @param injection: Injection to convert bytes to Id. + * @tparam V: Type of Id + * @return File based Readable Store + */ + def apply[V]( + file: AbstractFile, + injection: Injection[V, Array[Byte]] + ): ReadableStore[Long, V] = { + val codec = new ThriftByteBufferCodec(FileBasedIndexIdStore) + val store: Map[Long, V] = codec + .decode(loadFile(file)) + .indexIdMap + .getOrElse(Map.empty[Long, ByteBuffer]) + .toMap + .mapValues(value => injection.invert(ArrayByteBufferCodec.decode(value)).get) + ReadableStore.fromMap[Long, V](store) + } + + private[this] def loadFile(file: AbstractFile): ByteBuffer = { + ArrayByteBufferCodec.encode(file.getByteSource.read()) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/file_store/WritableIndexIdFileStore.scala b/ann/src/main/scala/com/twitter/ann/file_store/WritableIndexIdFileStore.scala new file mode 100644 index 000000000..cddf77d2c --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/file_store/WritableIndexIdFileStore.scala @@ -0,0 +1,71 @@ +package com.twitter.ann.file_store + +import com.twitter.ann.common.IndexOutputFile +import com.twitter.ann.common.thriftscala.FileBasedIndexIdStore +import com.twitter.bijection.Injection +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import com.twitter.mediaservices.commons.codec.ThriftByteBufferCodec +import com.twitter.storehaus.Store +import com.twitter.util.Future +import java.util.concurrent.{ConcurrentHashMap => JConcurrentHashMap} +import scala.collection.JavaConverters._ + +object WritableIndexIdFileStore { + + /** + * @param injection: Injection to convert typed Id to bytes. + * @tparam V: Type of Id + * @return File based Writable Store + */ + def apply[V]( + injection: Injection[V, Array[Byte]] + ): WritableIndexIdFileStore[V] = { + new WritableIndexIdFileStore[V]( + new JConcurrentHashMap[Long, Option[V]], + injection + ) + } +} + +class WritableIndexIdFileStore[V] private ( + map: JConcurrentHashMap[Long, Option[V]], + injection: Injection[V, Array[Byte]]) + extends Store[Long, V] { + + private[this] val store = Store.fromJMap(map) + + override def get(k: Long): Future[Option[V]] = { + store.get(k) + } + + override def put(kv: (Long, Option[V])): Future[Unit] = { + store.put(kv) + } + + /** + * Serialize and store the mapping in thrift format + * @param file : File path to store serialized long indexId <-> Id mapping + */ + def save(file: IndexOutputFile): Unit = { + saveThrift(toThrift(), file) + } + + def getInjection: Injection[V, Array[Byte]] = injection + + private[this] def toThrift(): FileBasedIndexIdStore = { + val indexIdMap = map.asScala + .collect { + case (key, Some(value)) => (key, ArrayByteBufferCodec.encode(injection.apply(value))) + } + + FileBasedIndexIdStore(Some(indexIdMap)) + } + + private[this] def saveThrift(thriftObj: FileBasedIndexIdStore, file: IndexOutputFile): Unit = { + val codec = new ThriftByteBufferCodec(FileBasedIndexIdStore) + val bytes = ArrayByteBufferCodec.decode(codec.encode(thriftObj)) + val outputStream = file.getOutputStream() + outputStream.write(bytes) + outputStream.close() + } +} diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/BUILD b/ann/src/main/scala/com/twitter/ann/hnsw/BUILD new file mode 100644 index 000000000..9783b461d --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/BUILD @@ -0,0 +1,23 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/org/mapdb", + "ann/src/main/java/com/twitter/ann/hnsw", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/serialization", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "mediaservices/commons/src/main/scala:futuretracker", + "src/java/com/twitter/common_internal/hadoop", + "src/java/com/twitter/search/common/file", + "src/scala/com/twitter/ml/api/embedding", + ], + exports = [ + "ann/src/main/scala/com/twitter/ann/common", + "src/java/com/twitter/common_internal/hadoop", + "src/java/com/twitter/search/common/file", + "src/scala/com/twitter/ml/api/embedding", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/DistanceFunctionGenerator.scala b/ann/src/main/scala/com/twitter/ann/hnsw/DistanceFunctionGenerator.scala new file mode 100644 index 000000000..a512fad1f --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/DistanceFunctionGenerator.scala @@ -0,0 +1,37 @@ +package com.twitter.ann.hnsw + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common.{Cosine, Distance, InnerProduct, Metric} + +private[hnsw] object DistanceFunctionGenerator { + def apply[T, D <: Distance[D]]( + metric: Metric[D], + idToEmbeddingFn: (T) => EmbeddingVector + ): DistanceFunctionGenerator[T] = { + // Use InnerProduct for cosine and normalize the vectors before appending and querying. + val updatedMetric = metric match { + case Cosine => InnerProduct + case _ => metric + } + + val distFnIndex = new DistanceFunction[T, T] { + override def distance(id1: T, id2: T) = + updatedMetric.absoluteDistance( + idToEmbeddingFn(id1), + idToEmbeddingFn(id2) + ) + } + + val distFnQuery = new DistanceFunction[EmbeddingVector, T] { + override def distance(embedding: EmbeddingVector, id: T) = + updatedMetric.absoluteDistance(embedding, idToEmbeddingFn(id)) + } + + DistanceFunctionGenerator(distFnIndex, distFnQuery, metric == Cosine) + } +} + +private[hnsw] case class DistanceFunctionGenerator[T]( + index: DistanceFunction[T, T], + query: DistanceFunction[EmbeddingVector, T], + shouldNormalize: Boolean) diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/Hnsw.scala b/ann/src/main/scala/com/twitter/ann/hnsw/Hnsw.scala new file mode 100644 index 000000000..38666eb20 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/Hnsw.scala @@ -0,0 +1,183 @@ +package com.twitter.ann.hnsw + +import com.google.common.annotations.VisibleForTesting +import com.twitter.ann.common.EmbeddingType._ +import com.twitter.ann.common.Metric.toThrift +import com.twitter.ann.common._ +import com.twitter.ann.common.thriftscala.DistanceMetric +import com.twitter.ann.hnsw.HnswIndex.RandomProvider +import com.twitter.util.Future +import java.util.Random +import java.util.concurrent.ConcurrentHashMap +import java.util.concurrent.ThreadLocalRandom +import java.util.concurrent.locks.Lock +import java.util.concurrent.locks.ReentrantLock +import scala.collection.JavaConverters._ + +private[hnsw] object Hnsw { + private[hnsw] def apply[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + efConstruction: Int, + maxM: Int, + expectedElements: Int, + futurePool: ReadWriteFuturePool, + idEmbeddingMap: IdEmbeddingMap[T] + ): Hnsw[T, D] = { + val randomProvider = new RandomProvider { + override def get(): Random = ThreadLocalRandom.current() + } + val distFn = + DistanceFunctionGenerator(metric, (key: T) => idEmbeddingMap.get(key)) + val internalIndex = new HnswIndex[T, EmbeddingVector]( + distFn.index, + distFn.query, + efConstruction, + maxM, + expectedElements, + randomProvider + ) + new Hnsw[T, D]( + dimension, + metric, + internalIndex, + futurePool, + idEmbeddingMap, + distFn.shouldNormalize, + LockedAccess.apply(expectedElements) + ) + } +} + +private[hnsw] object LockedAccess { + protected[hnsw] def apply[T](expectedElements: Int): LockedAccess[T] = + DefaultLockedAccess(new ConcurrentHashMap[T, Lock](expectedElements)) + protected[hnsw] def apply[T](): LockedAccess[T] = + DefaultLockedAccess(new ConcurrentHashMap[T, Lock]()) +} + +private[hnsw] case class DefaultLockedAccess[T](locks: ConcurrentHashMap[T, Lock]) + extends LockedAccess[T] { + override def lockProvider(item: T) = locks.computeIfAbsent(item, (_: T) => new ReentrantLock()) +} + +private[hnsw] trait LockedAccess[T] { + protected def lockProvider(item: T): Lock + def lock[K](item: T)(fn: => K): K = { + val lock = lockProvider(item) + lock.lock() + try { + fn + } finally { + lock.unlock() + } + } +} + +@VisibleForTesting +private[hnsw] class Hnsw[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + hnswIndex: HnswIndex[T, EmbeddingVector], + readWriteFuturePool: ReadWriteFuturePool, + idEmbeddingMap: IdEmbeddingMap[T], + shouldNormalize: Boolean, + lockedAccess: LockedAccess[T] = LockedAccess.apply[T]()) + extends Appendable[T, HnswParams, D] + with Queryable[T, HnswParams, D] + with Updatable[T] { + override def append(entity: EntityEmbedding[T]): Future[Unit] = { + readWriteFuturePool.write { + val indexDimension = entity.embedding.length + assert( + toThrift(metric) == DistanceMetric.EditDistance || indexDimension == dimension, + s"Dimension mismatch for index(${indexDimension}) and embedding($dimension)" + ) + + lockedAccess.lock(entity.id) { + // To make this thread-safe, we are using ConcurrentHashMap#putIfAbsent underneath, + // so if there is a pre-existing item, put() will return something that is not null + val embedding = idEmbeddingMap.putIfAbsent(entity.id, updatedEmbedding(entity.embedding)) + + if (embedding == null) { // New element - insert into the index + hnswIndex.insert(entity.id) + } else { // Existing element - update the embedding and graph structure + throw new IllegalDuplicateInsertException( + "Append method does not permit duplicates (try using update method): " + entity.id) + } + } + } onFailure { e => + Future.exception(e) + } + } + + override def toQueryable: Queryable[T, HnswParams, D] = this + + override def query( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: HnswParams + ): Future[List[T]] = { + queryWithDistance(embedding, numOfNeighbours, runtimeParams) + .map(_.map(_.neighbor)) + } + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: HnswParams + ): Future[List[NeighborWithDistance[T, D]]] = { + val indexDimension = embedding.length + assert( + toThrift(metric) == DistanceMetric.EditDistance || indexDimension == dimension, + s"Dimension mismatch for index(${indexDimension}) and embedding($dimension)" + ) + readWriteFuturePool.read { + hnswIndex + .searchKnn(updatedEmbedding(embedding), numOfNeighbours, runtimeParams.ef) + .asScala + .map { nn => + NeighborWithDistance( + nn.getItem, + metric.fromAbsoluteDistance(nn.getDistance) + ) + } + .toList + } + } + + private[this] def updatedEmbedding(embedding: EmbeddingVector): EmbeddingVector = { + if (shouldNormalize) { + MetricUtil.norm(embedding) + } else { + embedding + } + } + + def getIndex: HnswIndex[T, EmbeddingVector] = hnswIndex + def getDimen: Int = dimension + def getMetric: Metric[D] = metric + def getIdEmbeddingMap: IdEmbeddingMap[T] = idEmbeddingMap + override def update( + entity: EntityEmbedding[T] + ): Future[Unit] = { + readWriteFuturePool.write { + val indexDimension = entity.embedding.length + assert( + toThrift(metric) == DistanceMetric.EditDistance || indexDimension == dimension, + s"Dimension mismatch for index(${indexDimension}) and embedding($dimension)" + ) + + lockedAccess.lock(entity.id) { + val embedding = idEmbeddingMap.put(entity.id, updatedEmbedding(entity.embedding)) + if (embedding == null) { // New element - insert into the index + hnswIndex.insert(entity.id) + } else { // Existing element - update the embedding and graph structure + hnswIndex.reInsert(entity.id); + } + } + } onFailure { e => + Future.exception(e) + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/HnswCommon.scala b/ann/src/main/scala/com/twitter/ann/hnsw/HnswCommon.scala new file mode 100644 index 000000000..1c0a65fd2 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/HnswCommon.scala @@ -0,0 +1,62 @@ +package com.twitter.ann.hnsw + +import com.twitter.ann.common.RuntimeParams +import com.twitter.ann.common.thriftscala.HnswIndexMetadata +import com.twitter.ann.common.thriftscala.HnswRuntimeParam +import com.twitter.ann.common.thriftscala.{RuntimeParams => ServiceRuntimeParams} +import com.twitter.bijection.Injection +import com.twitter.mediaservices.commons.codec.ThriftByteBufferCodec +import com.twitter.search.common.file.AbstractFile +import scala.util.Failure +import scala.util.Success +import scala.util.Try + +object HnswCommon { + private[hnsw] lazy val MetadataCodec = new ThriftByteBufferCodec(HnswIndexMetadata) + private[hnsw] val MetaDataFileName = "hnsw_index_metadata" + private[hnsw] val EmbeddingMappingFileName = "hnsw_embedding_mapping" + private[hnsw] val InternalIndexDir = "hnsw_internal_index" + private[hnsw] val HnswInternalMetadataFileName = "hnsw_internal_metadata" + private[hnsw] val HnswInternalGraphFileName = "hnsw_internal_graph" + + val RuntimeParamsInjection: Injection[HnswParams, ServiceRuntimeParams] = + new Injection[HnswParams, ServiceRuntimeParams] { + override def apply(scalaParams: HnswParams): ServiceRuntimeParams = { + ServiceRuntimeParams.HnswParam( + HnswRuntimeParam( + scalaParams.ef + ) + ) + } + + override def invert(thriftParams: ServiceRuntimeParams): Try[HnswParams] = + thriftParams match { + case ServiceRuntimeParams.HnswParam(hnswParam) => + Success( + HnswParams(hnswParam.ef) + ) + case p => Failure(new IllegalArgumentException(s"Expected HnswRuntimeParam got $p")) + } + } + + def isValidHnswIndex(path: AbstractFile): Boolean = { + path.isDirectory && + path.hasSuccessFile && + path.getChild(MetaDataFileName).exists() && + path.getChild(EmbeddingMappingFileName).exists() && + path.getChild(InternalIndexDir).exists() && + path.getChild(InternalIndexDir).getChild(HnswInternalMetadataFileName).exists() && + path.getChild(InternalIndexDir).getChild(HnswInternalGraphFileName).exists() + } +} + +/** + * Hnsw runtime params + * @param ef: The size of the dynamic list for the nearest neighbors (used during the search). + * Higher ef leads to more accurate but slower search. + * ef cannot be set lower than the number of queried nearest neighbors k. + * The value ef of can be anything between k and the size of the dataset. + */ +case class HnswParams(ef: Int) extends RuntimeParams { + override def toString: String = s"HnswParams(ef = $ef)" +} diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/HnswIOUtil.scala b/ann/src/main/scala/com/twitter/ann/hnsw/HnswIOUtil.scala new file mode 100644 index 000000000..6d7a1d06b --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/HnswIOUtil.scala @@ -0,0 +1,106 @@ +package com.twitter.ann.hnsw + +import com.google.common.annotations.VisibleForTesting +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common.thriftscala.HnswIndexMetadata +import com.twitter.ann.common.Distance +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.Metric +import com.twitter.ann.hnsw.HnswCommon._ +import com.twitter.ann.serialization.PersistedEmbeddingInjection +import com.twitter.ann.serialization.ThriftIteratorIO +import com.twitter.ann.serialization.thriftscala.PersistedEmbedding +import com.twitter.bijection.Injection +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import com.twitter.search.common.file.AbstractFile +import java.io.BufferedInputStream +import java.io.BufferedOutputStream +import java.io.OutputStream + +private[hnsw] object HnswIOUtil { + private val BufferSize = 64 * 1024 // Default 64Kb + + @VisibleForTesting + private[hnsw] def loadEmbeddings[T]( + embeddingFile: AbstractFile, + injection: Injection[T, Array[Byte]], + idEmbeddingMap: IdEmbeddingMap[T], + ): IdEmbeddingMap[T] = { + val inputStream = { + val stream = embeddingFile.getByteSource.openStream() + if (stream.isInstanceOf[BufferedInputStream]) { + stream + } else { + new BufferedInputStream(stream, BufferSize) + } + } + + val thriftIteratorIO = + new ThriftIteratorIO[PersistedEmbedding](PersistedEmbedding) + val iterator = thriftIteratorIO.fromInputStream(inputStream) + val embeddingInjection = new PersistedEmbeddingInjection(injection) + try { + iterator.foreach { persistedEmbedding => + val embedding = embeddingInjection.invert(persistedEmbedding).get + idEmbeddingMap.putIfAbsent(embedding.id, embedding.embedding) + Unit + } + } finally { + inputStream.close() + } + idEmbeddingMap + } + + @VisibleForTesting + private[hnsw] def saveEmbeddings[T]( + stream: OutputStream, + injection: Injection[T, Array[Byte]], + iter: Iterator[(T, EmbeddingVector)] + ): Unit = { + val thriftIteratorIO = + new ThriftIteratorIO[PersistedEmbedding](PersistedEmbedding) + val embeddingInjection = new PersistedEmbeddingInjection(injection) + val iterator = iter.map { + case (id, emb) => + embeddingInjection(EntityEmbedding(id, emb)) + } + val outputStream = { + if (stream.isInstanceOf[BufferedOutputStream]) { + stream + } else { + new BufferedOutputStream(stream, BufferSize) + } + } + try { + thriftIteratorIO.toOutputStream(iterator, outputStream) + } finally { + outputStream.close() + } + } + + @VisibleForTesting + private[hnsw] def saveIndexMetadata( + dimension: Int, + metric: Metric[_ <: Distance[_]], + numElements: Int, + metadataStream: OutputStream + ): Unit = { + val metadata = HnswIndexMetadata( + dimension, + Metric.toThrift(metric), + numElements + ) + val bytes = ArrayByteBufferCodec.decode(MetadataCodec.encode(metadata)) + metadataStream.write(bytes) + metadataStream.close() + } + + @VisibleForTesting + private[hnsw] def loadIndexMetadata( + metadataFile: AbstractFile + ): HnswIndexMetadata = { + MetadataCodec.decode( + ArrayByteBufferCodec.encode(metadataFile.getByteSource.read()) + ) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/IdEmbeddingMap.scala b/ann/src/main/scala/com/twitter/ann/hnsw/IdEmbeddingMap.scala new file mode 100644 index 000000000..e60f17088 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/IdEmbeddingMap.scala @@ -0,0 +1,13 @@ +package com.twitter.ann.hnsw + +import com.twitter.ann.common.EmbeddingType._ +import java.io.OutputStream + +trait IdEmbeddingMap[T] { + def putIfAbsent(id: T, embedding: EmbeddingVector): EmbeddingVector + def put(id: T, embedding: EmbeddingVector): EmbeddingVector + def get(id: T): EmbeddingVector + def iter(): Iterator[(T, EmbeddingVector)] + def size(): Int + def toDirectory(embeddingFileOutputStream: OutputStream): Unit +} diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/JMapBasedIdEmbeddingMap.scala b/ann/src/main/scala/com/twitter/ann/hnsw/JMapBasedIdEmbeddingMap.scala new file mode 100644 index 000000000..bc305dbc4 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/JMapBasedIdEmbeddingMap.scala @@ -0,0 +1,87 @@ +package com.twitter.ann.hnsw + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.bijection.Injection +import com.twitter.search.common.file.AbstractFile +import java.io.OutputStream +import java.util.concurrent.ConcurrentHashMap +import scala.collection.JavaConverters._ + +private[hnsw] object JMapBasedIdEmbeddingMap { + + /** + * Creates in-memory concurrent hashmap based container that for storing id embedding mapping. + * @param expectedElements: Expected num of elements for sizing hint, need not be exact. + */ + def applyInMemory[T](expectedElements: Int): IdEmbeddingMap[T] = + new JMapBasedIdEmbeddingMap[T]( + new ConcurrentHashMap[T, EmbeddingVector](expectedElements), + Option.empty + ) + + /** + * Creates in-memory concurrent hashmap based container that can be serialized to disk for storing id embedding mapping. + * @param expectedElements: Expected num of elements for sizing hint, need not be exact. + * @param injection : Injection for typed Id T to Array[Byte] + */ + def applyInMemoryWithSerialization[T]( + expectedElements: Int, + injection: Injection[T, Array[Byte]] + ): IdEmbeddingMap[T] = + new JMapBasedIdEmbeddingMap[T]( + new ConcurrentHashMap[T, EmbeddingVector](expectedElements), + Some(injection) + ) + + /** + * Loads id embedding mapping in in-memory concurrent hashmap. + * @param embeddingFile: Local/Hdfs file path for embeddings + * @param injection : Injection for typed Id T to Array[Byte] + * @param numElements: Expected num of elements for sizing hint, need not be exact + */ + def loadInMemory[T]( + embeddingFile: AbstractFile, + injection: Injection[T, Array[Byte]], + numElements: Option[Int] = Option.empty + ): IdEmbeddingMap[T] = { + val map = numElements match { + case Some(elements) => new ConcurrentHashMap[T, EmbeddingVector](elements) + case None => new ConcurrentHashMap[T, EmbeddingVector]() + } + HnswIOUtil.loadEmbeddings( + embeddingFile, + injection, + new JMapBasedIdEmbeddingMap(map, Some(injection)) + ) + } +} + +private[this] class JMapBasedIdEmbeddingMap[T]( + map: java.util.concurrent.ConcurrentHashMap[T, EmbeddingVector], + injection: Option[Injection[T, Array[Byte]]]) + extends IdEmbeddingMap[T] { + override def putIfAbsent(id: T, embedding: EmbeddingVector): EmbeddingVector = { + map.putIfAbsent(id, embedding) + } + + override def put(id: T, embedding: EmbeddingVector): EmbeddingVector = { + map.put(id, embedding) + } + + override def get(id: T): EmbeddingVector = { + map.get(id) + } + + override def iter(): Iterator[(T, EmbeddingVector)] = + map + .entrySet() + .iterator() + .asScala + .map(e => (e.getKey, e.getValue)) + + override def size(): Int = map.size() + + override def toDirectory(embeddingFile: OutputStream): Unit = { + HnswIOUtil.saveEmbeddings(embeddingFile, injection.get, iter()) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/MapDbBasedIdEmbeddingMap.scala b/ann/src/main/scala/com/twitter/ann/hnsw/MapDbBasedIdEmbeddingMap.scala new file mode 100644 index 000000000..620f0554e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/MapDbBasedIdEmbeddingMap.scala @@ -0,0 +1,81 @@ +package com.twitter.ann.hnsw + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.bijection.Injection +import com.twitter.ml.api.embedding.Embedding +import com.twitter.search.common.file.AbstractFile +import java.io.OutputStream +import org.mapdb.DBMaker +import org.mapdb.HTreeMap +import org.mapdb.Serializer +import scala.collection.JavaConverters._ + +/** + * This class currently only support querying and creates map db on fly from thrift serialized embedding mapping + * Implement index creation with this or altogether replace mapdb with some better performing solution as it takes a lot of time to create/query or precreate while serializing thrift embeddings + */ +private[hnsw] object MapDbBasedIdEmbeddingMap { + + /** + * Loads id embedding mapping in mapDB based container leveraging memory mapped files. + * @param embeddingFile: Local/Hdfs file path for embeddings + * @param injection : Injection for typed Id T to Array[Byte] + */ + def loadAsReadonly[T]( + embeddingFile: AbstractFile, + injection: Injection[T, Array[Byte]] + ): IdEmbeddingMap[T] = { + val diskDb = DBMaker + .tempFileDB() + .concurrencyScale(32) + .fileMmapEnable() + .fileMmapEnableIfSupported() + .fileMmapPreclearDisable() + .cleanerHackEnable() + .closeOnJvmShutdown() + .make() + + val mapDb = diskDb + .hashMap("mapdb", Serializer.BYTE_ARRAY, Serializer.FLOAT_ARRAY) + .createOrOpen() + + HnswIOUtil.loadEmbeddings( + embeddingFile, + injection, + new MapDbBasedIdEmbeddingMap(mapDb, injection) + ) + } +} + +private[this] class MapDbBasedIdEmbeddingMap[T]( + mapDb: HTreeMap[Array[Byte], Array[Float]], + injection: Injection[T, Array[Byte]]) + extends IdEmbeddingMap[T] { + override def putIfAbsent(id: T, embedding: EmbeddingVector): EmbeddingVector = { + val value = mapDb.putIfAbsent(injection.apply(id), embedding.toArray) + if (value == null) null else Embedding(value) + } + + override def put(id: T, embedding: EmbeddingVector): EmbeddingVector = { + val value = mapDb.put(injection.apply(id), embedding.toArray) + if (value == null) null else Embedding(value) + } + + override def get(id: T): EmbeddingVector = { + Embedding(mapDb.get(injection.apply(id))) + } + + override def iter(): Iterator[(T, EmbeddingVector)] = { + mapDb + .entrySet() + .iterator() + .asScala + .map(entry => (injection.invert(entry.getKey).get, Embedding(entry.getValue))) + } + + override def size(): Int = mapDb.size() + + override def toDirectory(embeddingFile: OutputStream): Unit = { + HnswIOUtil.saveEmbeddings(embeddingFile, injection, iter()) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/SerializableHnsw.scala b/ann/src/main/scala/com/twitter/ann/hnsw/SerializableHnsw.scala new file mode 100644 index 000000000..65ffa0e5d --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/SerializableHnsw.scala @@ -0,0 +1,196 @@ +package com.twitter.ann.hnsw + +import com.google.common.annotations.VisibleForTesting +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common._ +import com.twitter.ann.common.thriftscala.HnswIndexMetadata +import com.twitter.ann.hnsw.HnswCommon._ +import com.twitter.ann.hnsw.HnswIndex.RandomProvider +import com.twitter.bijection.Injection +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.FileUtils +import com.twitter.util.Future +import java.io.IOException +import java.util.concurrent.ThreadLocalRandom +import java.util.Random +import org.apache.beam.sdk.io.fs.ResourceId + +private[hnsw] object SerializableHnsw { + private[hnsw] def apply[T, D <: Distance[D]]( + index: Hnsw[T, D], + injection: Injection[T, Array[Byte]] + ): SerializableHnsw[T, D] = { + new SerializableHnsw[T, D]( + index, + injection + ) + } + + private[hnsw] def loadMapBasedQueryableIndex[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + futurePool: ReadWriteFuturePool, + directory: AbstractFile + ): SerializableHnsw[T, D] = { + val metadata = HnswIOUtil.loadIndexMetadata(directory.getChild(MetaDataFileName)) + validateMetadata(dimension, metric, metadata) + val idEmbeddingMap = JMapBasedIdEmbeddingMap.loadInMemory( + directory.getChild(EmbeddingMappingFileName), + injection, + Some(metadata.numElements) + ) + loadIndex( + dimension, + metric, + injection, + futurePool, + directory, + idEmbeddingMap, + metadata + ) + } + + private[hnsw] def loadMMappedBasedQueryableIndex[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + futurePool: ReadWriteFuturePool, + directory: AbstractFile + ): SerializableHnsw[T, D] = { + val metadata = HnswIOUtil.loadIndexMetadata(directory.getChild(MetaDataFileName)) + validateMetadata(dimension, metric, metadata) + loadIndex( + dimension, + metric, + injection, + futurePool, + directory, + MapDbBasedIdEmbeddingMap + .loadAsReadonly(directory.getChild(EmbeddingMappingFileName), injection), + metadata + ) + } + + private[hnsw] def loadIndex[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + futurePool: ReadWriteFuturePool, + directory: AbstractFile, + idEmbeddingMap: IdEmbeddingMap[T], + metadata: HnswIndexMetadata + ): SerializableHnsw[T, D] = { + val distFn = + DistanceFunctionGenerator(metric, (key: T) => idEmbeddingMap.get(key)) + val randomProvider = new RandomProvider { + override def get(): Random = ThreadLocalRandom.current() + } + val internalIndex = HnswIndex.loadHnswIndex[T, EmbeddingVector]( + distFn.index, + distFn.query, + directory.getChild(InternalIndexDir), + injection, + randomProvider + ) + + val index = new Hnsw[T, D]( + dimension, + metric, + internalIndex, + futurePool, + idEmbeddingMap, + distFn.shouldNormalize, + LockedAccess.apply(metadata.numElements) + ) + + new SerializableHnsw(index, injection) + } + + private[this] def validateMetadata[D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + existingMetadata: HnswIndexMetadata + ): Unit = { + assert( + existingMetadata.dimension == dimension, + s"Dimensions do not match. requested: $dimension existing: ${existingMetadata.dimension}" + ) + + val existingMetric = Metric.fromThrift(existingMetadata.distanceMetric) + assert( + existingMetric == metric, + s"DistanceMetric do not match. requested: $metric existing: $existingMetric" + ) + } +} + +@VisibleForTesting +private[hnsw] class SerializableHnsw[T, D <: Distance[D]]( + index: Hnsw[T, D], + injection: Injection[T, Array[Byte]]) + extends Appendable[T, HnswParams, D] + with Queryable[T, HnswParams, D] + with Serialization + with Updatable[T] { + override def append(entity: EntityEmbedding[T]) = index.append(entity) + + override def toQueryable: Queryable[T, HnswParams, D] = index.toQueryable + + override def query( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: HnswParams + ) = index.query(embedding, numOfNeighbours, runtimeParams) + + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbours: Int, + runtimeParams: HnswParams + ) = index.queryWithDistance(embedding, numOfNeighbours, runtimeParams) + + def toDirectory(directory: ResourceId): Unit = { + toDirectory(new IndexOutputFile(directory)) + } + + def toDirectory(directory: AbstractFile): Unit = { + // Create a temp dir with time prefix, and then do a rename after serialization + val tmpDir = FileUtils.getTmpFileHandle(directory) + if (!tmpDir.exists()) { + tmpDir.mkdirs() + } + + toDirectory(new IndexOutputFile(tmpDir)) + + // Rename tmp dir to original directory supplied + if (!tmpDir.rename(directory)) { + throw new IOException(s"Failed to rename ${tmpDir.getPath} to ${directory.getPath}") + } + } + + private def toDirectory(indexFile: IndexOutputFile): Unit = { + // Save java based hnsw index + index.getIndex.toDirectory(indexFile.createDirectory(InternalIndexDir), injection) + + // Save index metadata + HnswIOUtil.saveIndexMetadata( + index.getDimen, + index.getMetric, + index.getIdEmbeddingMap.size(), + indexFile.createFile(MetaDataFileName).getOutputStream() + ) + + // Save embedding mapping + index.getIdEmbeddingMap.toDirectory( + indexFile.createFile(EmbeddingMappingFileName).getOutputStream()) + + // Create _SUCCESS file + indexFile.createSuccessFile() + } + + override def update( + entity: EntityEmbedding[T] + ): Future[Unit] = { + index.update(entity) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/hnsw/TypedHnswIndex.scala b/ann/src/main/scala/com/twitter/ann/hnsw/TypedHnswIndex.scala new file mode 100644 index 000000000..6bf99a61b --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/hnsw/TypedHnswIndex.scala @@ -0,0 +1,173 @@ +package com.twitter.ann.hnsw + +import com.twitter.ann.common._ +import com.twitter.bijection.Injection +import com.twitter.search.common.file.AbstractFile + +// Class to provide HNSW based approximate nearest neighbour index +object TypedHnswIndex { + + /** + * Creates in-memory HNSW based index which supports querying/addition/updates of the entity embeddings. + * See https://docbird.twitter.biz/ann/hnsw.html to check information about arguments. + * + * @param dimension Dimension of the embedding to be indexed + * @param metric Distance metric (InnerProduct/Cosine/L2) + * @param efConstruction The parameter has the same meaning as ef, but controls the + * index_time/index_accuracy ratio. Bigger ef_construction leads to longer + * construction, but better index quality. At some point, increasing + * ef_construction does not improve the quality of the index. One way to + * check if the selection of ef_construction was ok is to measure a recall + * for M nearest neighbor search when ef = ef_constuction: if the recall is + * lower than 0.9, than there is room for improvement. + * @param maxM The number of bi-directional links created for every new element during construction. + * Reasonable range for M is 2-100. Higher M work better on datasets with high + * intrinsic dimensionality and/or high recall, while low M work better for datasets + * with low intrinsic dimensionality and/or low recalls. The parameter also determines + * the algorithm's memory consumption, bigger the param more the memory requirement. + * For high dimensional datasets (word embeddings, good face descriptors), higher M + * are required (e.g. M=48, 64) for optimal performance at high recall. + * The range M=12-48 is ok for the most of the use cases. + * @param expectedElements Approximate number of elements to be indexed + * @param readWriteFuturePool Future pool for performing read (query) and write operation (addition/updates). + * @tparam T Type of item to index + * @tparam D Type of distance + */ + def index[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + efConstruction: Int, + maxM: Int, + expectedElements: Int, + readWriteFuturePool: ReadWriteFuturePool + ): Appendable[T, HnswParams, D] with Queryable[T, HnswParams, D] with Updatable[T] = { + Hnsw[T, D]( + dimension, + metric, + efConstruction, + maxM, + expectedElements, + readWriteFuturePool, + JMapBasedIdEmbeddingMap.applyInMemory[T](expectedElements) + ) + } + + /** + * Creates in-memory HNSW based index which supports querying/addition/updates of the entity embeddings. + * It can be serialized to a directory (HDFS/Local file system) + * See https://docbird.twitter.biz/ann/hnsw.html to check information about arguments. + * + * @param dimension Dimension of the embedding to be indexed + * @param metric Distance metric (InnerProduct/Cosine/L2) + * @param efConstruction The parameter has the same meaning as ef, but controls the + * index_time/index_accuracy ratio. Bigger ef_construction leads to longer + * construction, but better index quality. At some point, increasing + * ef_construction does not improve the quality of the index. One way to + * check if the selection of ef_construction was ok is to measure a recall + * for M nearest neighbor search when ef = ef_constuction: if the recall is + * lower than 0.9, than there is room for improvement. + * @param maxM The number of bi-directional links created for every new element during construction. + * Reasonable range for M is 2-100. Higher M work better on datasets with high + * intrinsic dimensionality and/or high recall, while low M work better for datasets + * with low intrinsic dimensionality and/or low recalls. The parameter also determines + * the algorithm's memory consumption, bigger the param more the memory requirement. + * For high dimensional datasets (word embeddings, good face descriptors), higher M + * are required (e.g. M=48, 64) for optimal performance at high recall. + * The range M=12-48 is ok for the most of the use cases. + * @param expectedElements Approximate number of elements to be indexed + * @param injection Injection for typed Id T to Array[Byte] + * @param readWriteFuturePool Future pool for performing read (query) and write operation (addition/updates). + * @tparam T Type of item to index + * @tparam D Type of distance + */ + def serializableIndex[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + efConstruction: Int, + maxM: Int, + expectedElements: Int, + injection: Injection[T, Array[Byte]], + readWriteFuturePool: ReadWriteFuturePool + ): Appendable[T, HnswParams, D] + with Queryable[T, HnswParams, D] + with Updatable[T] + with Serialization = { + val index = Hnsw[T, D]( + dimension, + metric, + efConstruction, + maxM, + expectedElements, + readWriteFuturePool, + JMapBasedIdEmbeddingMap + .applyInMemoryWithSerialization[T](expectedElements, injection) + ) + + SerializableHnsw[T, D]( + index, + injection + ) + } + + /** + * Loads HNSW index from a directory to in-memory + * @param dimension dimension of the embedding to be indexed + * @param metric Distance metric + * @param readWriteFuturePool Future pool for performing read (query) and write operation (addition/updates). + * @param injection : Injection for typed Id T to Array[Byte] + * @param directory : Directory(HDFS/Local file system) where hnsw index is stored + * @tparam T : Type of item to index + * @tparam D : Type of distance + */ + def loadIndex[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + readWriteFuturePool: ReadWriteFuturePool, + directory: AbstractFile + ): Appendable[T, HnswParams, D] + with Queryable[T, HnswParams, D] + with Updatable[T] + with Serialization = { + SerializableHnsw.loadMapBasedQueryableIndex[T, D]( + dimension, + metric, + injection, + readWriteFuturePool, + directory + ) + } + + /** + * Loads a HNSW index from a directory and memory map it. + * It will take less memory but rely more on disk as it leverages memory mapped file backed by disk. + * Latency will go up considerably (Could be by factor of > 10x) if used on instance with low + * memory since lot of page faults may occur. Best use case to use would with scalding jobs + * where mapper/reducers instance are limited by 8gb memory. + * @param dimension dimension of the embedding to be indexed + * @param metric Distance metric + * @param readWriteFuturePool Future pool for performing read (query) and write operation (addition/updates). + * @param injection Injection for typed Id T to Array[Byte] + * @param directory Directory(HDFS/Local file system) where hnsw index is stored + * @tparam T Type of item to index + * @tparam D Type of distance + */ + def loadMMappedIndex[T, D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + injection: Injection[T, Array[Byte]], + readWriteFuturePool: ReadWriteFuturePool, + directory: AbstractFile + ): Appendable[T, HnswParams, D] + with Queryable[T, HnswParams, D] + with Updatable[T] + with Serialization = { + SerializableHnsw.loadMMappedBasedQueryableIndex[T, D]( + dimension, + metric, + injection, + readWriteFuturePool, + directory + ) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/manhattan/BUILD b/ann/src/main/scala/com/twitter/ann/manhattan/BUILD new file mode 100644 index 000000000..6b0387d6f --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/manhattan/BUILD @@ -0,0 +1,12 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:core", + "3rdparty/jvm/com/twitter/bijection:scrooge", + "ann/src/main/scala/com/twitter/ann/common", + "src/scala/com/twitter/ml/api/embedding", + "storage/clients/manhattan", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/manhattan/ManhattanEmbeddingProducer.scala b/ann/src/main/scala/com/twitter/ann/manhattan/ManhattanEmbeddingProducer.scala new file mode 100644 index 000000000..e8b2f6429 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/manhattan/ManhattanEmbeddingProducer.scala @@ -0,0 +1,63 @@ +package com.twitter.ann.manhattan + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common.{EmbeddingProducer, EmbeddingType} +import com.twitter.bijection.Injection +import com.twitter.ml.api.embedding.{EmbeddingBijection, EmbeddingSerDe} +import com.twitter.ml.api.{thriftscala => thrift} +import com.twitter.stitch.Stitch +import com.twitter.storage.client.manhattan.bijections.Bijections +import com.twitter.storage.client.manhattan.bijections.Bijections.BinaryScalaInjection +import com.twitter.storage.client.manhattan.kv.ManhattanKVEndpoint +import com.twitter.storage.client.manhattan.kv.impl.{ + DescriptorP1L0, + ReadOnlyKeyDescriptor, + ValueDescriptor +} + +private[manhattan] class ManhattanEmbeddingProducer[T]( + keyDescriptor: DescriptorP1L0.DKey[T], + valueDescriptor: ValueDescriptor.EmptyValue[EmbeddingVector], + manhattanEndpoint: ManhattanKVEndpoint) + extends EmbeddingProducer[T] { + + /** + * Lookup an embedding from manhattan given a key of type T. + * + * @return An embedding stitch. + * An easy way to get a Future from a Stitch is to run Stitch.run(stitch) + */ + override def produceEmbedding(input: T): Stitch[Option[EmbeddingVector]] = { + val fullKey = keyDescriptor.withPkey(input) + val stitchResult = manhattanEndpoint.get(fullKey, valueDescriptor) + stitchResult.map { resultOption => + resultOption.map(_.contents) + } + } +} + +object ManhattanEmbeddingProducer { + private[manhattan] def keyDescriptor[T]( + injection: Injection[T, Array[Byte]], + dataset: String + ): DescriptorP1L0.DKey[T] = + ReadOnlyKeyDescriptor(injection.andThen(Bijections.BytesBijection)) + .withDataset(dataset) + + private[manhattan] val EmbeddingDescriptor: ValueDescriptor.EmptyValue[ + EmbeddingType.EmbeddingVector + ] = { + val embeddingBijection = new EmbeddingBijection(EmbeddingSerDe.floatEmbeddingSerDe) + val thriftInjection = BinaryScalaInjection[thrift.Embedding](thrift.Embedding) + ValueDescriptor(embeddingBijection.andThen(thriftInjection)) + } + + def apply[T]( + dataset: String, + injection: Injection[T, Array[Byte]], + manhattanEndpoint: ManhattanKVEndpoint + ): EmbeddingProducer[T] = { + val descriptor = keyDescriptor(injection, dataset) + new ManhattanEmbeddingProducer(descriptor, EmbeddingDescriptor, manhattanEndpoint) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/manhattan/README b/ann/src/main/scala/com/twitter/ann/manhattan/README new file mode 100644 index 000000000..a79e6dab9 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/manhattan/README @@ -0,0 +1,9 @@ +# Description + +The ManhattanEmbeddingProducer is an EmbeddingProducer that is backed by a static manhattan dataset. + +# Setting up Data + +Data needs to be setup correctly in manhattan in order to be able to read the data using the +ManhattanEmbeddingProducer. You can use the EmbeddingSamplingJob to do this. The job can reads +embedding data from HDFS and re-writes it in the manhattan data format on HDFS. \ No newline at end of file diff --git a/ann/src/main/scala/com/twitter/ann/scalding/benchmark/BUILD b/ann/src/main/scala/com/twitter/ann/scalding/benchmark/BUILD new file mode 100644 index 000000000..4ad971d3d --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/benchmark/BUILD @@ -0,0 +1,56 @@ +scala_library( + name = "benchmark", + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = [ + "bazel-compatible", + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [ + ":user_item_knn-scala", + "3rdparty/src/jvm/com/twitter/scalding:args", + "3rdparty/src/jvm/com/twitter/scalding:core", + "3rdparty/src/jvm/com/twitter/scalding:date", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/scalding/offline", + "src/scala/com/twitter/scalding_internal/dalv2", + "src/scala/com/twitter/scalding_internal/job", + "src/scala/com/twitter/scalding_internal/job/analytics_batch", + "src/scala/com/twitter/scalding_internal/multiformat/format", + ], +) + +hadoop_binary( + name = "benchmark-adhoc", + main = "com.twitter.scalding.Tool", + platform = "java8", + runtime_platform = "java8", + tags = [ + "bazel-compatible", + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [ + ":benchmark", + "3rdparty/jvm/org/slf4j:slf4j-jdk14", + ], +) + +create_datasets( + base_name = "user_item_knn", + description = "List of the top recommendations per search entity (user)", + java_schema = "com.twitter.ann.knn.thriftjava.Knn", + platform = "java8", + role = "cortex-mlx", + scala_schema = "com.twitter.ann.knn.thriftscala.Knn", + segment_type = "partitioned", + tags = ["bazel-compatible"], + java_dependencies = [ + "ann/src/main/thrift/com/twitter/ann/knn:thrift-java", + ], + scala_dependencies = [ + "ann/src/main/thrift/com/twitter/ann/knn:thrift-scala", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/scalding/benchmark/Knn.scala b/ann/src/main/scala/com/twitter/ann/scalding/benchmark/Knn.scala new file mode 100644 index 000000000..72daf3fec --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/benchmark/Knn.scala @@ -0,0 +1,128 @@ +package com.twitter.ann.scalding.offline.com.twitter.ann.scalding.benchmark + +/* +This job will generate KNN ground truth based user and item embeddings. + */ + +import com.twitter.scalding.typed.TypedPipe +import com.twitter.scalding._ +import com.twitter.scalding_internal.dalv2.DALWrite.D +import com.twitter.ann.knn.thriftscala.Knn +import com.twitter.ann.knn.thriftscala.Neighbor +import com.twitter.ann.scalding.offline.IndexingStrategy +import com.twitter.ann.scalding.offline.KnnHelper +import com.twitter.ann.common.Distance +import com.twitter.ml.featurestore.lib.embedding.EmbeddingWithEntity +import com.twitter.cortex.ml.embeddings.common.EmbeddingFormatArgsParser +import com.twitter.cortex.ml.embeddings.common.EntityKind +import java.util.TimeZone +import com.twitter.scalding_internal.dalv2.DALWrite._ +import com.twitter.ann.scalding.benchmark.UserItemKnnScalaDataset +import com.twitter.scalding_internal.job.TwitterExecutionApp +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.ml.featurestore.lib.UserId + +/** + * This job will take consumer and item embeddings(either url or tweet) and output Knn entities (user id, (distance, item id)). + * + * Example command to run this adhoc job: + * + * scalding remote run \ + * --target ann/src/main/scala/com/twitter/ann/scalding/benchmark:benchmark-adhoc \ + * --hadoop-properties "mapreduce.map.memory.mb=8192 mapreduce.map.java.opts='-Xmx7618M' mapreduce.reduce.memory.mb=8192 mapreduce.reduce.java.opts='-Xmx7618M' mapred.task.timeout=0" \ + * --submitter hadoopnest3.smf1.twitter.com \ + * --user cortex-mlx \ + * --submitter-memory 8000.megabyte \ + * --main-class com.twitter.ann.scalding.offline.com.twitter.ann.scalding.benchmark.KnnJob -- \ + * --dalEnvironment Prod \ + * --search_space_entity_type user \ + * --user.feature_store_embedding ConsumerFollowEmbedding300Dataset \ + * --user.feature_store_major_version 1569196895 \ + * --user.date_range 2019-10-23 \ + * --search_space.feature_store_embedding ConsumerFollowEmbedding300Dataset \ + * --search_space.feature_store_major_version 1569196895 \ + * --search_space.date_range 2019-10-23 \ + * --date 2019-10-25 \ + * --version "consumer_follower_test" \ + * --reducers 10000 \ + * --num_of_random_groups 20 \ + * --num_replicas 1000 \ + * --indexing_strategy.metric InnerProduct \ + * --indexing_strategy.type hnsw \ + * --indexing_strategy.dimension 300 \ + * --indexing_strategy.ef_construction 30 \ + * --indexing_strategy.max_m 10 \ + * --indexing_strategy.ef_query 50 \ + * --search_space_shards 3000 \ + * --query_shards 3000 \ + * --search_space.read_sample_ratio 0.038 + */ +trait KnnJobBase { + val seed: Long = 123 + + def getKnnDataset[B <: EntityId, D <: Distance[D]]( + args: Args + )( + implicit uniqueID: UniqueID + ): TypedPipe[Knn] = { + + val consumerPipe: TypedPipe[EmbeddingWithEntity[UserId]] = EmbeddingFormatArgsParser.User + .getEmbeddingFormat(args, "user") + .getEmbeddings + + val itemPipe = EntityKind + .getEntityKind(args("search_space_entity_type")) + .parser + .getEmbeddingFormat(args, "search_space") + .getEmbeddings + + KnnHelper + // Refer to the documentation of findNearestNeighboursWithIndexingStrategy for more + // information about how to set these settings. + .findNearestNeighboursWithIndexingStrategy[UserId, B, D]( + queryEmbeddings = consumerPipe, + searchSpaceEmbeddings = itemPipe.asInstanceOf[TypedPipe[EmbeddingWithEntity[B]]], + numNeighbors = args.int("candidate_per_user", 20), + reducersOption = args.optional("reducers").map(_.toInt), + numOfSearchGroups = args.int("num_of_random_groups"), + numReplicas = args.int("num_replicas"), + indexingStrategy = IndexingStrategy.parse(args).asInstanceOf[IndexingStrategy[D]], + queryShards = args.optional("query_shards").map(_.toInt), + searchSpaceShards = args.optional("search_space_shards").map(_.toInt) + ) + .map { + case (user, items) => + val neighbors = items.map { + case (item, distance) => + Neighbor( + distance.distance, + item.toThrift + ) + } + Knn(user.toThrift, neighbors) + } + } +} + +object KnnJob extends TwitterExecutionApp with KnnJobBase { + + val KnnPathSuffix: String = "/user/cortex-mlx/qualatative_analysis/knn_ground_truth/" + val partitionKey: String = "version" + + override def job: Execution[Unit] = Execution.withId { implicit uniqueId => + Execution.getArgs.flatMap { args: Args => + implicit val timeZone: TimeZone = TimeZone.getDefault + implicit val dateParser: DateParser = DateParser.default + implicit val dateRange: DateRange = DateRange.parse(args.list("date"))(timeZone, dateParser) + + getKnnDataset(args).writeDALExecution( + UserItemKnnScalaDataset, + D.Daily, + D.Suffix(KnnPathSuffix), + D.Parquet, + Set(D.Partition(partitionKey, args("version"), D.PartitionType.String)) + ) + } + } + +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/BUILD.bazel b/ann/src/main/scala/com/twitter/ann/scalding/offline/BUILD.bazel new file mode 100644 index 000000000..eeb124aeb --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/BUILD.bazel @@ -0,0 +1,44 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = [ + "bazel-compatible", + "bazel-only", + ], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:scrooge", + "3rdparty/src/jvm/com/twitter/scalding:args", + "3rdparty/src/jvm/com/twitter/scalding:commons", + "3rdparty/src/jvm/com/twitter/scalding:core", + "ann/src/main/scala/com/twitter/ann/brute_force", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/hnsw", + "ann/src/main/scala/com/twitter/ann/util", + "cortex-core/entity-embeddings/src/thrift/com/twitter/entityembeddings/neighbors:embeddings-knn-thrift-scala", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers-deploy", + "src/scala/com/twitter/pluck/source/core_workflows/user_model:condensed_user_state-scala", + "src/scala/com/twitter/scalding_internal/dalv2", + "src/scala/com/twitter/scalding_internal/job", + "src/scala/com/twitter/scalding_internal/multiformat/format", + "src/scala/com/twitter/scalding_internal/parquet_thrift", + "usersource/snapshot/src/main/scala/com/twitter/usersource/snapshot/flat:usersource_flat-scala", + "usersource/snapshot/src/main/thrift/com/twitter/usersource/snapshot/flat:flat-scala", + ], +) + +hadoop_binary( + name = "ann-offline-deploy", + main = "com.twitter.scalding.Tool", + platform = "java8", + runtime_platform = "java8", + tags = [ + "bazel-compatible", + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [ + ":offline", + "3rdparty/jvm/org/slf4j:slf4j-jdk14", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/IndexingStrategy.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/IndexingStrategy.scala new file mode 100644 index 000000000..cde35ccfb --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/IndexingStrategy.scala @@ -0,0 +1,116 @@ +package com.twitter.ann.scalding.offline + +import com.twitter.ann.brute_force.{BruteForceIndex, BruteForceRuntimeParams} +import com.twitter.ann.common.{Distance, EntityEmbedding, Metric, ReadWriteFuturePool} +import com.twitter.ann.hnsw.{HnswParams, TypedHnswIndex} +import com.twitter.ann.util.IndexBuilderUtils +import com.twitter.scalding.Args +import com.twitter.util.logging.Logger +import com.twitter.util.{Await, FuturePool} + +/** + * IndexingStrategy is used for determining how we will build the index when doing a KNN in + * scalding. Right now there are 2 strategies a BruteForce and HNSW strategy. + * @tparam D distance that the index uses. + */ +sealed trait IndexingStrategy[D <: Distance[D]] { + private[offline] def buildIndex[T]( + indexItems: TraversableOnce[EntityEmbedding[T]] + ): ParameterlessQueryable[T, _, D] +} + +object IndexingStrategy { + + /** + * Parse an indexing strategy from scalding args. + * ${argumentName}.type Is hsnw or brute_force + * ${argumentName}.type is the metric to use. See Metric.fromString for options. + * + * hsnw has these additional parameters: + * ${argumentName}.dimension the number of dimension for the embeddings. + * ${argumentName}.ef_construction, ${argumentName}.ef_construction and ${argumentName}.ef_query. + * See TypedHnswIndex for more details on these parameters. + * @param args scalding arguments to parse. + * @param argumentName A specifier to use in case you want to parse more than one indexing + * strategy. indexing_strategy by default. + * @return parse indexing strategy + */ + def parse( + args: Args, + argumentName: String = "indexing_strategy" + ): IndexingStrategy[_] = { + def metricArg[D <: Distance[D]] = + Metric.fromString(args(s"$argumentName.metric")).asInstanceOf[Metric[D]] + + args(s"$argumentName.type") match { + case "brute_force" => + BruteForceIndexingStrategy(metricArg) + case "hnsw" => + val dimensionArg = args.int(s"$argumentName.dimension") + val efConstructionArg = args.int(s"$argumentName.ef_construction") + val maxMArg = args.int(s"$argumentName.max_m") + val efQuery = args.int(s"$argumentName.ef_query") + HnswIndexingStrategy( + dimension = dimensionArg, + metric = metricArg, + efConstruction = efConstructionArg, + maxM = maxMArg, + hnswParams = HnswParams(efQuery) + ) + } + } +} + +case class BruteForceIndexingStrategy[D <: Distance[D]](metric: Metric[D]) + extends IndexingStrategy[D] { + private[offline] def buildIndex[T]( + indexItems: TraversableOnce[EntityEmbedding[T]] + ): ParameterlessQueryable[T, _, D] = { + val appendable = BruteForceIndex[T, D](metric, FuturePool.immediatePool) + indexItems.foreach { item => + Await.result(appendable.append(item)) + } + val queryable = appendable.toQueryable + ParameterlessQueryable[T, BruteForceRuntimeParams.type, D]( + queryable, + BruteForceRuntimeParams + ) + } +} + +case class HnswIndexingStrategy[D <: Distance[D]]( + dimension: Int, + metric: Metric[D], + efConstruction: Int, + maxM: Int, + hnswParams: HnswParams, + concurrencyLevel: Int = 1) + extends IndexingStrategy[D] { + private[offline] def buildIndex[T]( + indexItems: TraversableOnce[EntityEmbedding[T]] + ): ParameterlessQueryable[T, _, D] = { + + val log: Logger = Logger(getClass) + val appendable = TypedHnswIndex.index[T, D]( + dimension = dimension, + metric = metric, + efConstruction = efConstruction, + maxM = maxM, + // This is not really that important. + expectedElements = 1000, + readWriteFuturePool = ReadWriteFuturePool(FuturePool.immediatePool) + ) + val future = + IndexBuilderUtils + .addToIndex(appendable, indexItems.toStream, concurrencyLevel) + .map { numberUpdates => + log.info(s"Performed $numberUpdates updates") + } + Await.result(future) + val queryable = appendable.toQueryable + ParameterlessQueryable( + queryable, + hnswParams + ) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnDebug.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnDebug.scala new file mode 100644 index 000000000..c0b4ae598 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnDebug.scala @@ -0,0 +1,117 @@ +package com.twitter.ann.scalding.offline + +import com.twitter.core_workflows.user_model.thriftscala.CondensedUserState +import com.twitter.cortex.ml.embeddings.common.{DataSourceManager, GraphEdge, Helpers, UserKind} +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.entityembeddings.neighbors.thriftscala.{EntityKey, NearestNeighbors} +import com.twitter.pluck.source.core_workflows.user_model.CondensedUserStateScalaDataset +import com.twitter.scalding._ +import com.twitter.scalding.typed.TypedPipe +import com.twitter.scalding_internal.dalv2.DAL +import com.twitter.usersource.snapshot.flat.UsersourceFlatScalaDataset +import com.twitter.usersource.snapshot.flat.thriftscala.FlatUser + +case class ConsumerAssoc(consumerId: UserId, assoc: List[String]) + +object KnnDebug { + + def getConsumerAssociations( + graph: TypedPipe[GraphEdge[UserId, UserId]], + usernames: TypedPipe[(UserId, String)], + reducers: Int + ): TypedPipe[ConsumerAssoc] = { + graph + .groupBy(_.itemId) + .join(usernames).withReducers(reducers) + .values + .map { + case (edge: GraphEdge[UserId, UserId], producerScreenName: String) => + ConsumerAssoc(consumerId = edge.consumerId, assoc = List(producerScreenName)) + } + .groupBy(_.consumerId).withReducers(reducers) + .reduce[ConsumerAssoc] { + case (uFollow1: ConsumerAssoc, uFollow2: ConsumerAssoc) => + ConsumerAssoc(consumerId = uFollow1.consumerId, assoc = uFollow1.assoc ++ uFollow2.assoc) + } + .values + } + + /** + * Write the neighbors and a set of follows to a tsv for easier analysis during debugging + * We take the set of users with between 25-50 follows and grab only those users + * + * This returns 4 strings of the form: + * consumerId, state, followUserNamefollowUserNamefollowUserName, neighborNameneighborNameneighborName + */ + def getDebugTable( + neighborsPipe: TypedPipe[(EntityKey, NearestNeighbors)], + shards: Int, + reducers: Int, + limit: Int = 10000, + userDataset: Option[TypedPipe[FlatUser]] = None, + followDataset: Option[TypedPipe[GraphEdge[UserId, UserId]]] = None, + consumerStatesDataset: Option[TypedPipe[CondensedUserState]] = None, + minFollows: Int = 25, + maxFollows: Int = 50 + )( + implicit dateRange: DateRange + ): TypedPipe[(String, String, String, String)] = { + + val usersourcePipe: TypedPipe[FlatUser] = userDataset + .getOrElse(DAL.readMostRecentSnapshot(UsersourceFlatScalaDataset, dateRange).toTypedPipe) + + val followGraph: TypedPipe[GraphEdge[UserId, UserId]] = followDataset + .getOrElse(new DataSourceManager().getFollowGraph()) + + val consumerStates: TypedPipe[CondensedUserState] = consumerStatesDataset + .getOrElse(DAL.read(CondensedUserStateScalaDataset).toTypedPipe) + + val usernames: TypedPipe[(UserId, String)] = usersourcePipe.flatMap { flatUser => + (flatUser.screenName, flatUser.id) match { + case (Some(name: String), Some(userId: Long)) => Some((UserId(userId), name)) + case _ => None + } + }.fork + + val consumerFollows: TypedPipe[ConsumerAssoc] = + getConsumerAssociations(followGraph, usernames, reducers) + .filter { uFollow => (uFollow.assoc.size > minFollows && uFollow.assoc.size < maxFollows) } + + val neighborGraph: TypedPipe[GraphEdge[UserId, UserId]] = neighborsPipe + .limit(limit) + .flatMap { + case (entityKey: EntityKey, neighbors: NearestNeighbors) => + Helpers.optionalToLong(entityKey.id) match { + case Some(entityId: Long) => + neighbors.neighbors.flatMap { neighbor => + Helpers + .optionalToLong(neighbor.neighbor.id) + .map { neighborId => + GraphEdge[UserId, UserId]( + consumerId = UserId(entityId), + itemId = UserId(neighborId), + weight = 1.0F) + } + } + case None => List() + } + } + val consumerNeighbors: TypedPipe[ConsumerAssoc] = + getConsumerAssociations(neighborGraph, usernames, reducers) + + consumerFollows + .groupBy(_.consumerId) + .join(consumerStates.groupBy { consumer => UserId(consumer.uid) }).withReducers(reducers) + .join(consumerNeighbors.groupBy(_.consumerId)).withReducers(reducers) + .values + .map { + case ((uFollow: ConsumerAssoc, state: CondensedUserState), uNeighbors: ConsumerAssoc) => + ( + UserKind.stringInjection(uFollow.consumerId), + state.state.toString, + uFollow.assoc mkString "", + uNeighbors.assoc mkString "") + } + .shard(shards) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnEntityRecoDebugJob.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnEntityRecoDebugJob.scala new file mode 100644 index 000000000..9a6849d46 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnEntityRecoDebugJob.scala @@ -0,0 +1,91 @@ +package com.twitter.ann.scalding.offline +import com.twitter.ann.common.Distance +import com.twitter.ann.common.Metric +import com.twitter.cortex.ml.embeddings.common.EntityKind +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.scalding.typed.TypedPipe +import com.twitter.scalding._ +import com.twitter.scalding_internal.job.TwitterExecutionApp + +/** + * This job do an exhaustive search for nearest neighbours helpful for debugging recommendations + * for a given list of sample queryIds and entity embeddings for the recos to be made. + * Sample job script: + ./bazel bundle ann/src/main/scala/com/twitter/ann/scalding/offline:ann-offline-deploy + + oscar hdfs \ + --screen --tee log.txt \ + --hadoop-client-memory 6000 \ + --hadoop-properties "yarn.app.mapreduce.am.resource.mb=6000;yarn.app.mapreduce.am.command-opts='-Xmx7500m';mapreduce.map.memory.mb=7500;mapreduce.reduce.java.opts='-Xmx6000m';mapreduce.reduce.memory.mb=7500;mapred.task.timeout=36000000;" \ + --bundle ann-offline-deploy \ + --min-split-size 284217728 \ + --host hadoopnest1.smf1.twitter.com \ + --tool com.twitter.ann.scalding.offline.KnnEntityRecoDebugJob -- \ + --neighbors 10 \ + --metric InnerProduct \ + --query_entity_kind user \ + --search_space_entity_kind user \ + --query.embedding_path /user/apoorvs/sample_embeddings \ + --query.embedding_format tab \ + --search_space.embedding_path /user/apoorvs/sample_embeddings \ + --search_space.embedding_format tab \ + --query_ids 974308319300149248 988871266244464640 2719685122 2489777564 \ + --output_path /user/apoorvs/adhochadoop/test \ + --reducers 100 + */ +object KnnEntityRecoDebugJob extends TwitterExecutionApp { + override def job: Execution[Unit] = Execution.withId { implicit uniqueId => + Execution.getArgs.flatMap { args: Args => + val queryEntityKind = EntityKind.getEntityKind(args("query_entity_kind")) + val searchSpaceEntityKind = EntityKind.getEntityKind(args("search_space_entity_kind")) + val metric = Metric.fromString(args("metric")) + run(queryEntityKind, searchSpaceEntityKind, metric, args) + } + } + + private[this] def run[A <: EntityId, B <: EntityId, D <: Distance[D]]( + uncastQueryEntityKind: EntityKind[_], + uncastSearchSpaceEntityKind: EntityKind[_], + uncastMetric: Metric[_], + args: Args + )( + implicit uniqueID: UniqueID + ): Execution[Unit] = { + import KnnHelper._ + + val numNeighbors = args.int("neighbors") + val reducers = args.getOrElse("reducers", "100").toInt + + val queryEntityKind = uncastQueryEntityKind.asInstanceOf[EntityKind[A]] + val searchSpaceEntityKind = uncastSearchSpaceEntityKind.asInstanceOf[EntityKind[B]] + val metric = uncastMetric.asInstanceOf[Metric[D]] + + // Filter the query entity embeddings with the queryIds + val queryIds = args.list("query_ids") + assert(queryIds.nonEmpty) + val filterQueryIds: TypedPipe[A] = TypedPipe + .from(queryIds) + .map(queryEntityKind.stringInjection.invert(_).get) + val queryEmbeddings = queryEntityKind.parser.getEmbeddingFormat(args, "query").getEmbeddings + + // Get the neighbour embeddings + val searchSpaceEmbeddings = + searchSpaceEntityKind.parser.getEmbeddingFormat(args, "search_space").getEmbeddings + + val nearestNeighborString = findNearestNeighbours( + queryEmbeddings, + searchSpaceEmbeddings, + metric, + numNeighbors, + Some(filterQueryIds), + reducers + )(queryEntityKind.ordering, uniqueID).map( + nearestNeighborsToString(_, queryEntityKind, searchSpaceEntityKind) + ) + + // Write the nearest neighbor string to one part file. + nearestNeighborString + .shard(1) + .writeExecution(TypedTsv(args("output_path"))) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnHelper.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnHelper.scala new file mode 100644 index 000000000..fe12fe156 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnHelper.scala @@ -0,0 +1,438 @@ +package com.twitter.ann.scalding.offline + +import com.twitter.ann.common._ +import com.twitter.ann.hnsw.{HnswParams, TypedHnswIndex} +import com.twitter.bijection.Injection +import com.twitter.cortex.ml.embeddings.common.{EntityKind, Helpers, UserKind} +import com.twitter.entityembeddings.neighbors.thriftscala.{EntityKey, NearestNeighbors, Neighbor} +import com.twitter.ml.api.embedding.Embedding +import com.twitter.ml.api.embedding.EmbeddingMath.{Float => math} +import com.twitter.ml.featurestore.lib.embedding.EmbeddingWithEntity +import com.twitter.ml.featurestore.lib.{EntityId, UserId} +import com.twitter.scalding.typed.{TypedPipe, UnsortedGrouped} +import com.twitter.scalding.{Args, DateRange, Stat, TextLine, UniqueID} +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.{Await, FuturePool} +import scala.util.Random + +case class Index[T, D <: Distance[D]]( + injection: Injection[T, Array[Byte]], + metric: Metric[D], + dimension: Int, + directory: AbstractFile) { + lazy val annIndex = TypedHnswIndex.loadIndex[T, D]( + dimension, + metric, + injection, + ReadWriteFuturePool(FuturePool.immediatePool), + directory + ) +} + +object KnnHelper { + def getFilteredUserEmbeddings( + args: Args, + filterPath: Option[String], + reducers: Int, + useHashJoin: Boolean + )( + implicit dateRange: DateRange + ): TypedPipe[EmbeddingWithEntity[UserId]] = { + val userEmbeddings: TypedPipe[EmbeddingWithEntity[UserId]] = + UserKind.parser.getEmbeddingFormat(args, "consumer").getEmbeddings + filterPath match { + case Some(fileName: String) => + val filterUserIds: TypedPipe[UserId] = TypedPipe + .from(TextLine(fileName)) + .flatMap { idLine => + Helpers.optionalToLong(idLine) + } + .map { id => + UserId(id) + } + Helpers + .adjustableJoin( + left = userEmbeddings.groupBy(_.entityId), + right = filterUserIds.asKeys, + useHashJoin = useHashJoin, + reducers = Some(reducers) + ).map { + case (_, (embedding, _)) => embedding + } + case None => userEmbeddings + } + } + + def getNeighborsPipe[T <: EntityId, D <: Distance[D]]( + args: Args, + uncastEntityKind: EntityKind[_], + uncastMetric: Metric[_], + ef: Int, + consumerEmbeddings: TypedPipe[EmbeddingWithEntity[UserId]], + abstractFile: Option[AbstractFile], + reducers: Int, + numNeighbors: Int, + dimension: Int + )( + implicit dateRange: DateRange + ): TypedPipe[(EntityKey, NearestNeighbors)] = { + val entityKind = uncastEntityKind.asInstanceOf[EntityKind[T]] + val injection = entityKind.byteInjection + val metric = uncastMetric.asInstanceOf[Metric[D]] + abstractFile match { + case Some(directory: AbstractFile) => + val index = Index(injection, metric, dimension, directory) + consumerEmbeddings + .map { embedding => + val knn = Await.result( + index.annIndex.queryWithDistance( + Embedding(embedding.embedding.toArray), + numNeighbors, + HnswParams(ef) + ) + ) + val neighborList = knn + .filter(_.neighbor.toString != embedding.entityId.userId.toString) + .map(nn => + Neighbor( + neighbor = EntityKey(nn.neighbor.toString), + similarity = Some(1 - nn.distance.distance))) + EntityKey(embedding.entityId.toString) -> NearestNeighbors(neighborList) + } + case None => + val producerEmbeddings: TypedPipe[EmbeddingWithEntity[UserId]] = + UserKind.parser.getEmbeddingFormat(args, "producer").getEmbeddings + + bruteForceNearestNeighbors( + consumerEmbeddings, + producerEmbeddings, + numNeighbors, + reducers + ) + } + } + + def bruteForceNearestNeighbors( + consumerEmbeddings: TypedPipe[EmbeddingWithEntity[UserId]], + producerEmbeddings: TypedPipe[EmbeddingWithEntity[UserId]], + numNeighbors: Int, + reducers: Int + ): TypedPipe[(EntityKey, NearestNeighbors)] = { + consumerEmbeddings + .cross(producerEmbeddings) + .map { + case (cEmbed: EmbeddingWithEntity[UserId], pEmbed: EmbeddingWithEntity[UserId]) => + // Cosine similarity + val cEmbedNorm = math.l2Norm(cEmbed.embedding).toFloat + val pEmbedNorm = math.l2Norm(pEmbed.embedding).toFloat + val distance: Float = -math.dotProduct( + (math.scalarProduct(cEmbed.embedding, 1 / cEmbedNorm)), + math.scalarProduct(pEmbed.embedding, 1 / pEmbedNorm)) + ( + UserKind.stringInjection(cEmbed.entityId), + (distance, UserKind.stringInjection(pEmbed.entityId))) + } + .groupBy(_._1).withReducers(reducers) + .sortWithTake(numNeighbors) { + case ((_: String, (sim1: Float, _: String)), (_: String, (sim2: Float, _: String))) => + sim1 < sim2 + } + .map { + case (consumerId: String, (prodSims: Seq[(String, (Float, String))])) => + EntityKey(consumerId) -> NearestNeighbors( + prodSims.map { + case (consumerId: String, (sim: Float, prodId: String)) => + Neighbor(neighbor = EntityKey(prodId), similarity = Some(-sim.toDouble)) + } + ) + } + } + + /** + * Calculate the nearest neighbors exhaustively between two entity embeddings using one as query and other as the search space. + * @param queryEmbeddings entity embeddings for queries + * @param searchSpaceEmbeddings entity embeddings for search space + * @param metric distance metric + * @param numNeighbors number of neighbors + * @param queryIdsFilter optional query ids to filter to query entity embeddings + * @param reducers number of reducers for grouping + * @param isSearchSpaceLarger Used for optimization: Is the search space larger than the query space? Ignored if numOfSearchGroups > 1. + * @param numOfSearchGroups we divide the search space into these groups (randomly). Useful when the search space is too large. Overrides isSearchSpaceLarger. + * @param numReplicas Each search group will be responsible for 1/numReplicas queryEmebeddings. + * This might speed up the search when the size of the index embeddings is + * large. + * @tparam A type of query entity + * @tparam B type of search space entity + * @tparam D type of distance + */ + def findNearestNeighbours[A <: EntityId, B <: EntityId, D <: Distance[D]]( + queryEmbeddings: TypedPipe[EmbeddingWithEntity[A]], + searchSpaceEmbeddings: TypedPipe[EmbeddingWithEntity[B]], + metric: Metric[D], + numNeighbors: Int = 10, + queryIdsFilter: Option[TypedPipe[A]] = Option.empty, + reducers: Int = 100, + mappers: Int = 100, + isSearchSpaceLarger: Boolean = true, + numOfSearchGroups: Int = 1, + numReplicas: Int = 1, + useCounters: Boolean = true + )( + implicit ordering: Ordering[A], + uid: UniqueID + ): TypedPipe[(A, Seq[(B, D)])] = { + val filteredQueryEmbeddings = queryIdsFilter match { + case Some(filter) => { + queryEmbeddings.groupBy(_.entityId).hashJoin(filter.asKeys).map { + case (x, (embedding, _)) => embedding + } + } + case None => queryEmbeddings + } + + if (numOfSearchGroups > 1) { + val indexingStrategy = BruteForceIndexingStrategy(metric) + findNearestNeighboursWithIndexingStrategy( + queryEmbeddings, + searchSpaceEmbeddings, + numNeighbors, + numOfSearchGroups, + indexingStrategy, + numReplicas, + Some(reducers), + useCounters = useCounters + ) + } else { + findNearestNeighboursViaCross( + filteredQueryEmbeddings, + searchSpaceEmbeddings, + metric, + numNeighbors, + reducers, + mappers, + isSearchSpaceLarger) + } + } + + /** + * Calculate the nearest neighbors using the specified indexing strategy between two entity + * embeddings using one as query and other as the search space. + * @param queryEmbeddings entity embeddings for queries + * @param searchSpaceEmbeddings entity embeddings for search space. You should be able to fit + * searchSpaceEmbeddings.size / numOfSearchGroups into memory. + * @param numNeighbors number of neighbors + * @param reducersOption number of reducers for the final sortedTake. + * @param numOfSearchGroups we divide the search space into these groups (randomly). Useful when + * the search space is too large. Search groups are shards. Choose this + * number by ensuring searchSpaceEmbeddings.size / numOfSearchGroups + * embeddings will fit into memory. + * @param numReplicas Each search group will be responsible for 1/numReplicas queryEmebeddings. + * By increasing this number, we can parallelize the work and reduce end to end + * running times. + * @param indexingStrategy How we will search for nearest neighbors within a search group + * @param queryShards one step we have is to fan out the query embeddings. We create one entry + * per search group. If numOfSearchGroups is large, then this fan out can take + * a long time. You can shard the query shard first to parallelize this + * process. One way to estimate what value to use: + * queryEmbeddings.size * numOfSearchGroups / queryShards should be around 1GB. + * @param searchSpaceShards this param is similar to queryShards. Except it shards the search + * space when numReplicas is too large. One way to estimate what value + * to use: searchSpaceEmbeddings.size * numReplicas / searchSpaceShards + * should be around 1GB. + * @tparam A type of query entity + * @tparam B type of search space entity + * @tparam D type of distance + * @return a pipe keyed by the index embedding. The values are the list of numNeighbors nearest + * neighbors along with their distances. + */ + def findNearestNeighboursWithIndexingStrategy[A <: EntityId, B <: EntityId, D <: Distance[D]]( + queryEmbeddings: TypedPipe[EmbeddingWithEntity[A]], + searchSpaceEmbeddings: TypedPipe[EmbeddingWithEntity[B]], + numNeighbors: Int, + numOfSearchGroups: Int, + indexingStrategy: IndexingStrategy[D], + numReplicas: Int = 1, + reducersOption: Option[Int] = None, + queryShards: Option[Int] = None, + searchSpaceShards: Option[Int] = None, + useCounters: Boolean = true + )( + implicit ordering: Ordering[A], + uid: UniqueID + ): UnsortedGrouped[A, Seq[(B, D)]] = { + + implicit val ord: Ordering[NNKey] = Ordering.by(NNKey.unapply) + + val entityEmbeddings = searchSpaceEmbeddings.map { embedding: EmbeddingWithEntity[B] => + val entityEmbedding = + EntityEmbedding(embedding.entityId, Embedding(embedding.embedding.toArray)) + entityEmbedding + } + + val shardedSearchSpace = shard(entityEmbeddings, searchSpaceShards) + + val groupedSearchSpaceEmbeddings = shardedSearchSpace + .flatMap { entityEmbedding => + val searchGroup = Random.nextInt(numOfSearchGroups) + (0 until numReplicas).map { replica => + (NNKey(searchGroup, replica, Some(numReplicas)), entityEmbedding) + } + } + + val shardedQueries = shard(queryEmbeddings, queryShards) + + val groupedQueryEmbeddings = shardedQueries + .flatMap { entity => + val replica = Random.nextInt(numReplicas) + (0 until numOfSearchGroups).map { searchGroup => + (NNKey(searchGroup, replica, Some(numReplicas)), entity) + } + }.group + .withReducers(reducersOption.getOrElse(numOfSearchGroups * numReplicas)) + + val numberAnnIndexQueries = Stat("NumberAnnIndexQueries") + val annIndexQueryTotalMs = Stat("AnnIndexQueryTotalMs") + val numberIndexBuilds = Stat("NumberIndexBuilds") + val annIndexBuildTotalMs = Stat("AnnIndexBuildTotalMs") + val groupedKnn = groupedQueryEmbeddings + .cogroup(groupedSearchSpaceEmbeddings) { + case (_, queryIter, searchSpaceIter) => + // This index build happens numReplicas times. Ideally we could serialize the queryable. + // And only build the index once per search group. + // The issues with that now are: + // - The HNSW queryable is not serializable in scalding + // - The way that map reduce works requires that there is a job that write out the search + // space embeddings numReplicas times. In the current setup, we can do that by sharding + // the embeddings first and then fanning out. But if we had a single queryable, we would + // not be able to shard it easily and writing this out would take a long time. + val indexBuildStartTime = System.currentTimeMillis() + val queryable = indexingStrategy.buildIndex(searchSpaceIter) + if (useCounters) { + numberIndexBuilds.inc() + annIndexBuildTotalMs.incBy(System.currentTimeMillis() - indexBuildStartTime) + } + queryIter.flatMap { query => + val queryStartTime = System.currentTimeMillis() + val embedding = Embedding(query.embedding.toArray) + val result = Await.result( + queryable.queryWithDistance(embedding, numNeighbors) + ) + val queryToTopNeighbors = result + .map { neighbor => + (query.entityId, (neighbor.neighbor, neighbor.distance)) + } + if (useCounters) { + numberAnnIndexQueries.inc() + annIndexQueryTotalMs.incBy(System.currentTimeMillis() - queryStartTime) + } + queryToTopNeighbors + } + } + .values + .group + + val groupedKnnWithReducers = reducersOption + .map { reducers => + groupedKnn + .withReducers(reducers) + }.getOrElse(groupedKnn) + + groupedKnnWithReducers + .sortedTake(numNeighbors) { + Ordering + .by[(B, D), D] { + case (_, distance) => distance + } + } + } + + private[this] def shard[T]( + pipe: TypedPipe[T], + numberOfShards: Option[Int] + ): TypedPipe[T] = { + numberOfShards + .map { shards => + pipe.shard(shards) + }.getOrElse(pipe) + } + + private[this] def findNearestNeighboursViaCross[A <: EntityId, B <: EntityId, D <: Distance[D]]( + queryEmbeddings: TypedPipe[EmbeddingWithEntity[A]], + searchSpaceEmbeddings: TypedPipe[EmbeddingWithEntity[B]], + metric: Metric[D], + numNeighbors: Int, + reducers: Int, + mappers: Int, + isSearchSpaceLarger: Boolean + )( + implicit ordering: Ordering[A] + ): TypedPipe[(A, Seq[(B, D)])] = { + + val crossed: TypedPipe[(A, (B, D))] = if (isSearchSpaceLarger) { + searchSpaceEmbeddings + .shard(mappers) + .cross(queryEmbeddings).map { + case (searchSpaceEmbedding, queryEmbedding) => + val distance = metric.distance(searchSpaceEmbedding.embedding, queryEmbedding.embedding) + (queryEmbedding.entityId, (searchSpaceEmbedding.entityId, distance)) + } + } else { + queryEmbeddings + .shard(mappers) + .cross(searchSpaceEmbeddings).map { + case (queryEmbedding, searchSpaceEmbedding) => + val distance = metric.distance(searchSpaceEmbedding.embedding, queryEmbedding.embedding) + (queryEmbedding.entityId, (searchSpaceEmbedding.entityId, distance)) + } + } + + crossed + .groupBy(_._1) + .withReducers(reducers) + .sortedTake(numNeighbors) { + Ordering + .by[(A, (B, D)), D] { + case (_, (_, distance)) => distance + } // Sort by distance metric in ascending order + }.map { + case (queryId, neighbors) => + (queryId, neighbors.map(_._2)) + } + } + + /** + * Convert nearest neighbors to string format. + * By default format would be (queryId neighbourId:distance neighbourId:distance .....) in ascending order of distance. + * @param nearestNeighbors nearest neighbors tuple in form of (queryId, Seq[(neighborId, distance)] + * @param queryEntityKind entity kind of query + * @param neighborEntityKind entity kind of search space/neighbors + * @param idDistanceSeparator String separator to separate a single neighborId and distance. Default to colon (:) + * @param neighborSeparator String operator to separate neighbors. Default to tab + * @tparam A type of query entity + * @tparam B type of search space entity + * @tparam D type of distance + */ + def nearestNeighborsToString[A <: EntityId, B <: EntityId, D <: Distance[D]]( + nearestNeighbors: (A, Seq[(B, D)]), + queryEntityKind: EntityKind[A], + neighborEntityKind: EntityKind[B], + idDistanceSeparator: String = ":", + neighborSeparator: String = "\t" + ): String = { + val (queryId, neighbors) = nearestNeighbors + val formattedNeighbors = neighbors.map { + case (neighbourId, distance) => + s"${neighborEntityKind.stringInjection.apply(neighbourId)}$idDistanceSeparator${distance.distance}" + } + (queryEntityKind.stringInjection.apply(queryId) +: formattedNeighbors) + .mkString(neighborSeparator) + } + + private[this] case class NNKey( + searchGroup: Int, + replica: Int, + maxReplica: Option[Int] = None) { + override def hashCode(): Int = + maxReplica.map(_ * searchGroup + replica).getOrElse(super.hashCode()) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnOfflineJob.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnOfflineJob.scala new file mode 100644 index 000000000..87b6aacf8 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnOfflineJob.scala @@ -0,0 +1,108 @@ +package com.twitter.ann.scalding.offline + +import com.twitter.ann.common.Metric +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.ml.featurestore.lib.embedding.EmbeddingWithEntity +import com.twitter.cortex.ml.embeddings.common.EntityKind +import com.twitter.entityembeddings.neighbors.thriftscala.{EntityKey, NearestNeighbors} +import com.twitter.scalding.commons.source.VersionedKeyValSource +import com.twitter.scalding.typed.TypedPipe +import com.twitter.scalding.{Args, DateOps, DateParser, DateRange, Execution, TypedTsv, UniqueID} +import com.twitter.scalding_internal.job.TwitterExecutionApp +import com.twitter.search.common.file.{AbstractFile, LocalFile} +import java.util.TimeZone + +/** + * Generates the nearest neighbour for users and store them in Manhattan format i.e sequence files. + * See README for oscar usage. + */ +object KnnOfflineJob extends TwitterExecutionApp { + override def job: Execution[Unit] = Execution.withId { implicit uniqueId => + Execution.getArgs.flatMap { args: Args => + val knnDirectoryOpt: Option[String] = args.optional("knn_directory") + knnDirectoryOpt match { + case Some(knnDirectory) => + Execution.withCachedFile(knnDirectory) { directory => + execute(args, Some(new LocalFile(directory.file))) + } + case None => + execute(args, None) + } + } + } + + /** + * Execute KnnOfflineJob + * @param args: The args object for this job + * @param abstractFile: An optional of producer embedding path + */ + def execute( + args: Args, + abstractFile: Option[AbstractFile] + )( + implicit uniqueID: UniqueID + ): Execution[Unit] = { + implicit val tz: TimeZone = TimeZone.getDefault() + implicit val dp: DateParser = DateParser.default + implicit val dateRange = DateRange.parse(args.list("date"))(DateOps.UTC, DateParser.default) + implicit val keyInject = BinaryScalaCodec(EntityKey) + implicit val valueInject = BinaryScalaCodec(NearestNeighbors) + + val entityKind = EntityKind.getEntityKind(args("producer_entity_kind")) + val metric = Metric.fromString(args("metric")) + val outputPath: String = args("output_path") + val numNeighbors: Int = args("neighbors").toInt + val ef = args.getOrElse("ef", numNeighbors.toString).toInt + val reducers: Int = args("reducers").toInt + val knnDimension: Int = args("dimension").toInt + val debugOutputPath: Option[String] = args.optional("debug_output_path") + val filterPath: Option[String] = args.optional("users_filter_path") + val shards: Int = args.getOrElse("shards", "100").toInt + val useHashJoin: Boolean = args.getOrElse("use_hash_join", "false").toBoolean + val mhOutput = VersionedKeyValSource[EntityKey, NearestNeighbors]( + path = outputPath, + sourceVersion = None, + sinkVersion = None, + maxFailures = 0, + versionsToKeep = 1 + ) + + val consumerEmbeddings: TypedPipe[EmbeddingWithEntity[UserId]] = + KnnHelper.getFilteredUserEmbeddings( + args, + filterPath, + reducers, + useHashJoin + ) + + val neighborsPipe: TypedPipe[(EntityKey, NearestNeighbors)] = KnnHelper.getNeighborsPipe( + args, + entityKind, + metric, + ef, + consumerEmbeddings, + abstractFile, + reducers, + numNeighbors, + knnDimension + ) + + val neighborsExecution: Execution[Unit] = neighborsPipe + .writeExecution(mhOutput) + + // Write manual Inspection + debugOutputPath match { + case Some(path: String) => + val debugExecution: Execution[Unit] = KnnDebug + .getDebugTable( + neighborsPipe = neighborsPipe, + shards = shards, + reducers = reducers + ) + .writeExecution(TypedTsv(path)) + Execution.zip(debugExecution, neighborsExecution).unit + case None => neighborsExecution + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnTruthSetGenerator.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnTruthSetGenerator.scala new file mode 100644 index 000000000..23b064fc3 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/KnnTruthSetGenerator.scala @@ -0,0 +1,84 @@ +package com.twitter.ann.scalding.offline + +import com.twitter.ann.common.Distance +import com.twitter.ann.common.Metric +import com.twitter.ann.scalding.offline.KnnHelper.nearestNeighborsToString +import com.twitter.cortex.ml.embeddings.common.EntityKind +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.scalding.source.TypedText +import com.twitter.scalding.Args +import com.twitter.scalding.Execution +import com.twitter.scalding.UniqueID +import com.twitter.scalding_internal.job.TwitterExecutionApp + +/** + * This job reads index embedding data, query embeddings data, and split into index set, query set and true nearest neigbor set + * from query to index. + */ +object KnnTruthSetGenerator extends TwitterExecutionApp { + override def job: Execution[Unit] = Execution.withId { implicit uniqueId => + Execution.getArgs.flatMap { args: Args => + val queryEntityKind = EntityKind.getEntityKind(args("query_entity_kind")) + val indexEntityKind = EntityKind.getEntityKind(args("index_entity_kind")) + val metric = Metric.fromString(args("metric")) + run(queryEntityKind, indexEntityKind, metric, args) + } + } + + private[this] def run[A <: EntityId, B <: EntityId, D <: Distance[D]]( + uncastQueryEntityKind: EntityKind[_], + uncastIndexSpaceEntityKind: EntityKind[_], + uncastMetric: Metric[_], + args: Args + )( + implicit uniqueID: UniqueID + ): Execution[Unit] = { + val queryEntityKind = uncastQueryEntityKind.asInstanceOf[EntityKind[A]] + val indexEntityKind = uncastIndexSpaceEntityKind.asInstanceOf[EntityKind[B]] + val metric = uncastMetric.asInstanceOf[Metric[D]] + + val reducers = args.int("reducers") + val mappers = args.int("mappers") + val numNeighbors = args.int("neighbors") + val knnOutputPath = args("truth_set_output_path") + val querySamplePercent = args.double("query_sample_percent", 100) / 100 + val indexSamplePercent = args.double("index_sample_percent", 100) / 100 + + val queryEmbeddings = queryEntityKind.parser + .getEmbeddingFormat(args, "query") + .getEmbeddings + .sample(querySamplePercent) + + val indexEmbeddings = indexEntityKind.parser + .getEmbeddingFormat(args, "index") + .getEmbeddings + .sample(indexSamplePercent) + + // calculate and write knn + val knnExecution = KnnHelper + .findNearestNeighbours( + queryEmbeddings, + indexEmbeddings, + metric, + numNeighbors, + reducers = reducers, + mappers = mappers + )(queryEntityKind.ordering, uniqueID).map( + nearestNeighborsToString(_, queryEntityKind, indexEntityKind) + ) + .shard(1) + .writeExecution(TypedText.tsv(knnOutputPath)) + + // write query set embeddings + val querySetExecution = queryEntityKind.parser + .getEmbeddingFormat(args, "query_set_output") + .writeEmbeddings(queryEmbeddings) + + // write index set embeddings + val indexSetExecution = indexEntityKind.parser + .getEmbeddingFormat(args, "index_set_output") + .writeEmbeddings(indexEmbeddings) + + Execution.zip(knnExecution, querySetExecution, indexSetExecution).unit + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/ParameterlessQueryable.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/ParameterlessQueryable.scala new file mode 100644 index 000000000..e66a834b5 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/ParameterlessQueryable.scala @@ -0,0 +1,24 @@ +package com.twitter.ann.scalding.offline + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common.{Distance, NeighborWithDistance, Queryable, RuntimeParams} +import com.twitter.util.Future + +private[offline] case class ParameterlessQueryable[T, P <: RuntimeParams, D <: Distance[D]]( + queryable: Queryable[T, P, D], + runtimeParamsForAllQueries: P) { + + /** + * ANN query for ids with distance. + * + * @param embedding : Embedding/Vector to be queried with. + * @param numOfNeighbors : Number of neighbours to be queried for. + * + * @return List of approximate nearest neighbour ids with distance from the query embedding. + */ + def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int + ): Future[List[NeighborWithDistance[T, D]]] = + queryable.queryWithDistance(embedding, numOfNeighbors, runtimeParamsForAllQueries) +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/README b/ann/src/main/scala/com/twitter/ann/scalding/offline/README new file mode 100644 index 000000000..9d4630ca5 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/README @@ -0,0 +1,4 @@ +# Description + +This pipeline uses hnsw and scalding to create an hnsw index based on producers embeddings, which +it then uses to construct lists of producer suggestions for each user. diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/BUILD.bazel b/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/BUILD.bazel new file mode 100644 index 000000000..c35a1658e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/BUILD.bazel @@ -0,0 +1,37 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java11", + tags = [ + "bazel-compatible", + "bazel-only", + ], + dependencies = [ + "3rdparty/src/jvm/com/twitter/scalding:args", + "3rdparty/src/jvm/com/twitter/scalding:core", + "ann/src/main/scala/com/twitter/ann/annoy", + "ann/src/main/scala/com/twitter/ann/brute_force", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/faiss", + "ann/src/main/scala/com/twitter/ann/serialization", + "ann/src/main/scala/com/twitter/ann/util", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "src/scala/com/twitter/scalding_internal/job", + ], +) + +hadoop_binary( + name = "faissindexbuilder-deploy", + main = "com.twitter.ann.scalding.offline.faissindexbuilder.IndexBuilderApp", + platform = "java11", + runtime_platform = "java11", + tags = [ + "bazel-compatible", + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [ + ":faissindexbuilder", + "3rdparty/jvm/org/slf4j:slf4j-jdk14", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/IndexBuilder.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/IndexBuilder.scala new file mode 100644 index 000000000..879736b13 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/IndexBuilder.scala @@ -0,0 +1,42 @@ +package com.twitter.ann.scalding.offline.faissindexbuilder + +import com.twitter.ann.common.Distance +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.Metric +import com.twitter.ann.faiss.FaissIndexer +import com.twitter.cortex.ml.embeddings.common.EmbeddingFormat +import com.twitter.ml.api.embedding.Embedding +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.scalding.Execution +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.logging.Logging + +object IndexBuilder extends FaissIndexer with Logging { + def run[T <: UserId, D <: Distance[D]]( + embeddingFormat: EmbeddingFormat[T], + embeddingLimit: Option[Int], + sampleRate: Float, + factoryString: String, + metric: Metric[D], + outputDirectory: AbstractFile, + numDimensions: Int + ): Execution[Unit] = { + val embeddingsPipe = embeddingFormat.getEmbeddings + val limitedEmbeddingsPipe = embeddingLimit + .map { limit => + embeddingsPipe.limit(limit) + }.getOrElse(embeddingsPipe) + + val annEmbeddingPipe = limitedEmbeddingsPipe.map { embedding => + val embeddingSize = embedding.embedding.length + assert( + embeddingSize == numDimensions, + s"Specified number of dimensions $numDimensions does not match the dimensions of the " + + s"embedding $embeddingSize" + ) + EntityEmbedding[Long](embedding.entityId.userId, Embedding(embedding.embedding.toArray)) + } + + build(annEmbeddingPipe, sampleRate, factoryString, metric, outputDirectory) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/IndexBuilderApp.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/IndexBuilderApp.scala new file mode 100644 index 000000000..985757271 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/faissindexbuilder/IndexBuilderApp.scala @@ -0,0 +1,75 @@ +package com.twitter.ann.scalding.offline.faissindexbuilder + +import com.twitter.ann.common.Distance +import com.twitter.ann.common.Metric +import com.twitter.cortex.ml.embeddings.common._ +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.scalding.Args +import com.twitter.scalding.DateOps +import com.twitter.scalding.DateParser +import com.twitter.scalding.DateRange +import com.twitter.scalding.Execution +import com.twitter.scalding_internal.job.TwitterExecutionApp +import com.twitter.search.common.file.FileUtils +import com.twitter.util.logging.Logging +import java.util.Calendar +import java.util.TimeZone + +trait IndexBuilderExecutable extends Logging { + // This method is used to cast the entityKind and the metric to have parameters. + def indexBuilderExecution[T <: UserId, D <: Distance[D]]( + args: Args + ): Execution[Unit] = { + // parse the arguments for this job + val uncastEntityKind = EntityKind.getEntityKind(args("entity_kind")) + val uncastMetric = Metric.fromString(args("metric")) + val entityKind = uncastEntityKind.asInstanceOf[EntityKind[T]] + val metric = uncastMetric.asInstanceOf[Metric[D]] + val uncastDateRange = args.list("embedding_date_range") + val embeddingDateRange = if (uncastDateRange.nonEmpty) { + Some(DateRange.parse(uncastDateRange)(DateOps.UTC, DateParser.default)) + } else { + None + } + val embeddingFormat = + entityKind.parser.getEmbeddingFormat(args, "input", providedDateRange = embeddingDateRange) + val numDimensions = args.int("num_dimensions") + val embeddingLimit = args.optional("embedding_limit").map(_.toInt) + val outputDirectory = FileUtils.getFileHandle(args("output_dir")) + val factoryString = args.optional("factory_string").get + val sampleRate = args.float("training_sample_rate", 0.05f) + + logger.debug(s"Job args: ${args.toString}") + + val finalOutputDirectory = embeddingDateRange + .map { range => + val cal = Calendar.getInstance(TimeZone.getTimeZone("UTC")) + cal.setTime(range.end) + outputDirectory + .getChild(s"${cal.get(Calendar.YEAR)}") + .getChild(f"${cal.get(Calendar.MONTH) + 1}%02d") + .getChild(f"${cal.get(Calendar.DAY_OF_MONTH)}%02d") + }.getOrElse(outputDirectory) + + logger.info(s"Final output directory is ${finalOutputDirectory.getPath}") + + IndexBuilder + .run( + embeddingFormat, + embeddingLimit, + sampleRate, + factoryString, + metric, + finalOutputDirectory, + numDimensions + ).onComplete { _ => + Unit + } + } +} + +object IndexBuilderApp extends TwitterExecutionApp with IndexBuilderExecutable { + override def job: Execution[Unit] = Execution.getArgs.flatMap { args: Args => + indexBuilderExecution(args) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/BUILD.bazel b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/BUILD.bazel new file mode 100644 index 000000000..bd421443e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/BUILD.bazel @@ -0,0 +1,37 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = [ + "bazel-compatible", + "bazel-only", + ], + dependencies = [ + "3rdparty/src/jvm/com/twitter/scalding:args", + "3rdparty/src/jvm/com/twitter/scalding:core", + "ann/src/main/scala/com/twitter/ann/annoy", + "ann/src/main/scala/com/twitter/ann/brute_force", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/hnsw", + "ann/src/main/scala/com/twitter/ann/serialization", + "ann/src/main/scala/com/twitter/ann/util", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "src/scala/com/twitter/scalding_internal/job", + ], +) + +hadoop_binary( + name = "indexbuilder-deploy", + main = "com.twitter.ann.scalding.offline.indexbuilder.IndexBuilderApp", + platform = "java8", + runtime_platform = "java8", + tags = [ + "bazel-compatible", + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [ + ":indexbuilder", + "3rdparty/jvm/org/slf4j:slf4j-jdk14", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/IndexBuilder.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/IndexBuilder.scala new file mode 100644 index 000000000..9e4d49da7 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/IndexBuilder.scala @@ -0,0 +1,53 @@ +package com.twitter.ann.scalding.offline.indexbuilder + +import com.twitter.ann.common.Appendable +import com.twitter.ann.common.Distance +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.Serialization +import com.twitter.ann.util.IndexBuilderUtils +import com.twitter.cortex.ml.embeddings.common.EmbeddingFormat +import com.twitter.ml.api.embedding.Embedding +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.scalding.Execution +import com.twitter.scalding_internal.job.FutureHelper +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.logging.Logger + +object IndexBuilder { + private[this] val Log = Logger.apply[IndexBuilder.type] + + def run[T <: EntityId, _, D <: Distance[D]]( + embeddingFormat: EmbeddingFormat[T], + embeddingLimit: Option[Int], + index: Appendable[T, _, D] with Serialization, + concurrencyLevel: Int, + outputDirectory: AbstractFile, + numDimensions: Int + ): Execution[Unit] = { + val embeddingsPipe = embeddingFormat.getEmbeddings + val limitedEmbeddingsPipe = embeddingLimit + .map { limit => + embeddingsPipe.limit(limit) + }.getOrElse(embeddingsPipe) + + val annEmbeddingPipe = limitedEmbeddingsPipe.map { embedding => + val embeddingSize = embedding.embedding.length + assert( + embeddingSize == numDimensions, + s"Specified number of dimensions $numDimensions does not match the dimensions of the " + + s"embedding $embeddingSize" + ) + EntityEmbedding[T](embedding.entityId, Embedding(embedding.embedding.toArray)) + } + + annEmbeddingPipe.toIterableExecution.flatMap { annEmbeddings => + val future = IndexBuilderUtils.addToIndex(index, annEmbeddings.toStream, concurrencyLevel) + val result = future.map { numberUpdates => + Log.info(s"Performed $numberUpdates updates") + index.toDirectory(outputDirectory) + Log.info(s"Finished writing to $outputDirectory") + } + FutureHelper.executionFrom(result).unit + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/IndexBuilderApp.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/IndexBuilderApp.scala new file mode 100644 index 000000000..9ab98d30c --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/IndexBuilderApp.scala @@ -0,0 +1,91 @@ +package com.twitter.ann.scalding.offline.indexbuilder + +import com.twitter.ann.annoy.TypedAnnoyIndex +import com.twitter.ann.brute_force.SerializableBruteForceIndex +import com.twitter.ann.common.Distance +import com.twitter.ann.common.Metric +import com.twitter.ann.common.ReadWriteFuturePool +import com.twitter.ann.hnsw.TypedHnswIndex +import com.twitter.ann.serialization.thriftscala.PersistedEmbedding +import com.twitter.ann.serialization.PersistedEmbeddingInjection +import com.twitter.ann.serialization.ThriftIteratorIO +import com.twitter.cortex.ml.embeddings.common._ +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.scalding.Args +import com.twitter.scalding.Execution +import com.twitter.scalding_internal.job.TwitterExecutionApp +import com.twitter.search.common.file.FileUtils +import com.twitter.util.FuturePool +import java.util.concurrent.Executors + +trait IndexBuilderExecutable { + // This method is used to cast the entityKind and the metric to have parameters. + def indexBuilderExecution[T <: EntityId, D <: Distance[D]]( + args: Args + ): Execution[Unit] = { + // parse the arguments for this job + val uncastEntityKind = EntityKind.getEntityKind(args("entity_kind")) + val uncastMetric = Metric.fromString(args("metric")) + val entityKind = uncastEntityKind.asInstanceOf[EntityKind[T]] + val metric = uncastMetric.asInstanceOf[Metric[D]] + val embeddingFormat = entityKind.parser.getEmbeddingFormat(args, "input") + val injection = entityKind.byteInjection + val numDimensions = args.int("num_dimensions") + val embeddingLimit = args.optional("embedding_limit").map(_.toInt) + val concurrencyLevel = args.int("concurrency_level") + val outputDirectory = FileUtils.getFileHandle(args("output_dir")) + + println(s"Job args: ${args.toString}") + val threadPool = Executors.newFixedThreadPool(concurrencyLevel) + + val serialization = args("algo") match { + case "brute_force" => + val PersistedEmbeddingIO = new ThriftIteratorIO[PersistedEmbedding](PersistedEmbedding) + SerializableBruteForceIndex[T, D]( + metric, + FuturePool.apply(threadPool), + new PersistedEmbeddingInjection[T](injection), + PersistedEmbeddingIO + ) + case "annoy" => + TypedAnnoyIndex.indexBuilder[T, D]( + numDimensions, + args.int("annoy_num_trees"), + metric, + injection, + FuturePool.apply(threadPool) + ) + case "hnsw" => + val efConstruction = args.int("ef_construction") + val maxM = args.int("max_m") + val expectedElements = args.int("expected_elements") + TypedHnswIndex.serializableIndex[T, D]( + numDimensions, + metric, + efConstruction, + maxM, + expectedElements, + injection, + ReadWriteFuturePool(FuturePool.apply(threadPool)) + ) + } + IndexBuilder + .run( + embeddingFormat, + embeddingLimit, + serialization, + concurrencyLevel, + outputDirectory, + numDimensions + ).onComplete { _ => + threadPool.shutdown() + Unit + } + } +} + +object IndexBuilderApp extends TwitterExecutionApp with IndexBuilderExecutable { + override def job: Execution[Unit] = Execution.getArgs.flatMap { args: Args => + indexBuilderExecution(args) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/README.rst b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/README.rst new file mode 100644 index 000000000..c58e9620a --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder/README.rst @@ -0,0 +1,132 @@ +******** +Overview +******** +This job reads embedding data from HDFS in the embedding formats supported by the cortex MLX team. It converts that data into the ANN format and adds it to an ANN index. The ANN index is serialized and save to disk. + +***************** +Running In Aurora +***************** + +Set up example +============== +This job builds an ANN index based on hnsw algorithm using user embeddings available in hdfs. + +.. code-block:: bash + + $ export JOB_NAME=ann_index_builder + $ export OUTPUT_PATH=hdfs:///user/$USER/${JOB_NAME}_test + + $ CPU=32 RAM_GB=150 DISK_GB=60 aurora job create smf1/$USER/devel/$JOB_NAME ann/src/main/aurora/index_builder/aurora_builder.aurora \ + --bind=profile.name=$JOB_NAME \ + --bind=profile.role=$USER \ + --bind=profile.output_dir=$OUTPUT_PATH \ + --bind=profile.entity_kind=user \ + --bind=profile.embedding_args='--input.embedding_format tab --input.embedding_path /user/cortex-mlx/official_examples/ann/non_pii_random_user_embeddings_tab_format' \ + --bind=profile.num_dimensions=300 \ + --bind=profile.algo=hnsw \ + --bind=profile.ef_construction=200 \ + --bind=profile.max_m=16 \ + --bind=profile.expected_elements=10000000 \ + --bind=profile.metric=InnerProduct \ + --bind=profile.concurrency_level=32 \ + --bind=profile.hadoop_cluster=dw2-smf1 + +This job builds an ANN index based on hnsw algorithm using producer embeddings (Major version 1546473691) available in feature store. + +.. code-block:: bash + + $ export JOB_NAME=ann_index_builder + $ export OUTPUT_PATH=hdfs:///user/$USER/${JOB_NAME}_test + + $ CPU=32 RAM_GB=150 DISK_GB=60 aurora job create smf1/$USER/devel/$JOB_NAME ann/src/main/aurora/index_builder/aurora_builder.aurora \ + --bind=profile.name=$JOB_NAME \ + --bind=profile.role=$USER \ + --bind=profile.output_dir=$OUTPUT_PATH \ + --bind=profile.entity_kind=user \ + --bind=profile.embedding_args='--input.feature_store_embedding ProducerFollowEmbedding300Dataset --input.feature_store_major_version 1546473691 --input.date_range 2019-01-02' \ + --bind=profile.num_dimensions=300 \ + --bind=profile.algo=hnsw \ + --bind=profile.ef_construction=200 \ + --bind=profile.max_m=16 \ + --bind=profile.expected_elements=10000000 \ + --bind=profile.metric=InnerProduct \ + --bind=profile.concurrency_level=32 \ + --bind=profile.hadoop_cluster=dw2-smf1 + + +************* +Job arguments +************* + +Enviroment variables (resources): +============== +- **CPU** Number of cpu cores (default: 32) +- **RAM_GB** RAM in gigabytes (default: 150) +- **DISK_GB** Disk in gigabytes (default: 60) + +General arguments (specified as **--profile.{options}**): +============== +- **name** Aurora job name +- **role** Aurora role +- **hadoop_cluster** Hadoop cluster for data. dw2-smf1/proc-atla. +- **input_dir** Path of saved embeddings in hdfs without prefixing `hdfs://` +- **entity_kind** The type of entity id that is use with the embeddings. Possible options: + + - word + - url + - user + - tweet + - tfwId + +- **embedding_args** Embedding format args. See the documentation in `com.twitter.cortex.ml.embeddings.common.EmbeddingFormatArgsParser` for a full explanation of the input options. Possible options: + + 1. **input.embedding_format** Format of the serialized embedding. + + - usertensor + - usercontinuous + - comma + - tab + + 2. **input.embedding_path** Path of saved embeddings in hdfs without prefixing `hdfs://` + + 3. **input.{feature_store_args}** For feature store related args like `feature_store_embedding`, `feature_store_major_version`, `date_range`: + +- **output_dir** Where to save the produced serialized ann index. Save to HDFS by specifying the full URI. e.g `hdfs://hadoop-dw2-nn.smf1.twitter.com/user//index_file` or using the default cluster `hdfs:///user//index_file`. +- **num_dimensions** Dimension of embedding in the input data. An exception will be thrown if any entry does not have a number of dimensions equal to this number. +- **metric** Distance metric (InnerProduct/Cosine/L2) +- **concurrency_level** Specifies how many parallel inserts happen to the index. This should probably be set to the number of cores on the machine. +- **algo** The kind of index you want to ouput. The supported options right now are: + + 1. **hnsw** (Metric supported: Cosine, L2, InnerProduct) + + .. _hnsw: https://arxiv.org/abs/1603.09320 + + - **ef\_construction** : Larger value increases build time but will give better recall. Good start value : 200 + - **max\_m** : Larger value increases will increase the index size but will give better recall. Optimal Range : 6-48. Good starting value 16. + - **expected\_elements** : Approximate number of elements that will be indexed. + + 2. **annoy** (Metric supported: Cosine, L2) + + .. _annoy: https://github.com/spotify/annoy + + - **annoy\_num\_trees** This parameter is required for annoy. From the annoy documentation: num_trees is provided during build time and affects the build time and the index size. A larger value will give more accurate results, but larger indexes. + + 3. **brute_force** (Metric supported: Cosine, L2, InnerProduct) + + +Developing locally +=================== + +For building and testing custom ann index builder job, +You can create job bundle locally, upload to packer and then it can be used with the job using `profile.packer_package` for name, `profile.packer_role` for role and `profile.packer_version` for bundle version. + +.. code-block:: bash + + ./bazel bundle ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilder:indexbuilder-deploy \ + --bundle-jvm-archive=zip + +.. code-block:: bash + + packer add_version --cluster=atla dist/indexbuilder-deploy.zip + + diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/BUILD.bazel b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/BUILD.bazel new file mode 100644 index 000000000..992325fa2 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/BUILD.bazel @@ -0,0 +1,37 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = [ + "bazel-compatible", + "bazel-only", + ], + dependencies = [ + "3rdparty/src/jvm/com/twitter/scalding:args", + "3rdparty/src/jvm/com/twitter/scalding:core", + "ann/src/main/scala/com/twitter/ann/annoy", + "ann/src/main/scala/com/twitter/ann/brute_force", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/hnsw", + "ann/src/main/scala/com/twitter/ann/serialization", + "ann/src/main/scala/com/twitter/ann/util", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "src/scala/com/twitter/scalding_internal/bigquery", + "src/scala/com/twitter/scalding_internal/job", + ], +) + +hadoop_binary( + name = "ann-index-builder", + main = "com.twitter.ann.scalding.offline.indexbuilderfrombq.IndexBuilderFromBQApp", + platform = "java8", + runtime_platform = "java8", + tags = [ + "bazel-compatible", + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [ + ":indexbuilderfrombq", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/IndexBuilderFromBQ.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/IndexBuilderFromBQ.scala new file mode 100644 index 000000000..fe82a0792 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/IndexBuilderFromBQ.scala @@ -0,0 +1,53 @@ +package com.twitter.ann.scalding.offline.indexbuilderfrombq + +import com.twitter.ann.common.Appendable +import com.twitter.ann.common.Distance +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.Serialization +import com.twitter.ann.util.IndexBuilderUtils +import com.twitter.ml.api.embedding.Embedding +import com.twitter.ml.featurestore.lib.embedding.EmbeddingWithEntity +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.scalding.Execution +import com.twitter.scalding.TypedPipe +import com.twitter.scalding_internal.job.FutureHelper +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.logging.Logger + +object IndexBuilder { + private[this] val Log = Logger.apply[IndexBuilder.type] + + def run[T <: EntityId, _, D <: Distance[D]]( + embeddingsPipe: TypedPipe[EmbeddingWithEntity[T]], + embeddingLimit: Option[Int], + index: Appendable[T, _, D] with Serialization, + concurrencyLevel: Int, + outputDirectory: AbstractFile, + numDimensions: Int + ): Execution[Unit] = { + val limitedEmbeddingsPipe = embeddingLimit + .map { limit => + embeddingsPipe.limit(limit) + }.getOrElse(embeddingsPipe) + + val annEmbeddingPipe = limitedEmbeddingsPipe.map { embedding => + val embeddingSize = embedding.embedding.length + assert( + embeddingSize == numDimensions, + s"Specified number of dimensions $numDimensions does not match the dimensions of the " + + s"embedding $embeddingSize" + ) + EntityEmbedding[T](embedding.entityId, Embedding(embedding.embedding.toArray)) + } + + annEmbeddingPipe.toIterableExecution.flatMap { annEmbeddings => + val future = IndexBuilderUtils.addToIndex(index, annEmbeddings.toStream, concurrencyLevel) + val result = future.map { numberUpdates => + Log.info(s"Performed $numberUpdates updates") + index.toDirectory(outputDirectory) + Log.info(s"Finished writing to $outputDirectory") + } + FutureHelper.executionFrom(result).unit + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/IndexBuilderFromBQApp.scala b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/IndexBuilderFromBQApp.scala new file mode 100644 index 000000000..18079ac96 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq/IndexBuilderFromBQApp.scala @@ -0,0 +1,194 @@ +package com.twitter.ann.scalding.offline.indexbuilderfrombq + +import com.google.auth.oauth2.ServiceAccountCredentials +import com.google.cloud.bigquery.BigQueryOptions +import com.google.cloud.bigquery.QueryJobConfiguration +import com.twitter.ann.annoy.TypedAnnoyIndex +import com.twitter.ann.brute_force.SerializableBruteForceIndex +import com.twitter.ann.common.Distance +import com.twitter.ann.common.Metric +import com.twitter.ann.common.ReadWriteFuturePool +import com.twitter.ann.hnsw.TypedHnswIndex +import com.twitter.ann.serialization.PersistedEmbeddingInjection +import com.twitter.ann.serialization.ThriftIteratorIO +import com.twitter.ann.serialization.thriftscala.PersistedEmbedding +import com.twitter.cortex.ml.embeddings.common._ +import com.twitter.ml.api.embedding.Embedding +import com.twitter.ml.featurestore.lib._ +import com.twitter.ml.featurestore.lib.embedding.EmbeddingWithEntity +import com.twitter.scalding.Args +import com.twitter.scalding.Execution +import com.twitter.scalding.typed.TypedPipe +import com.twitter.scalding_internal.bigquery.BigQueryConfig +import com.twitter.scalding_internal.bigquery.BigQuerySource +import com.twitter.scalding_internal.job.TwitterExecutionApp +import com.twitter.scalding_internal.multiformat.format.keyval.KeyVal +import com.twitter.search.common.file.FileUtils +import com.twitter.util.FuturePool +import java.io.FileInputStream +import java.time.LocalDateTime +import java.time.ZoneOffset +import java.util.concurrent.Executors +import org.apache.avro.generic.GenericRecord +import scala.collection.JavaConverters._ + +/** + * Scalding execution app for building ANN index from embeddings present in BigQuery table. + * The output index is written to a GCS file. + * + * Note: + * - Assumes input data has the fields entityId + * - Assumes input data has the fields embedding + * + * Command for running the app (from source repo root): + * scalding remote run \ + * --target ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq:ann-index-builder-binary + */ +trait IndexBuilderFromBQExecutable { + // This method is used to cast the entityKind and the metric to have parameters. + def indexBuilderExecution[T <: EntityId, D <: Distance[D]]( + args: Args + ): Execution[Unit] = { + // parse the arguments for this job + val uncastEntityKind = EntityKind.getEntityKind(args("entity_kind")) + val uncastMetric = Metric.fromString(args("metric")) + val entityKind = uncastEntityKind.asInstanceOf[EntityKind[T]] + val metric = uncastMetric.asInstanceOf[Metric[D]] + val injection = entityKind.byteInjection + val numDimensions = args.int("num_dimensions") + val embeddingLimit = args.optional("embedding_limit").map(_.toInt) + val concurrencyLevel = args.int("concurrency_level") + + val bigQuery = + BigQueryOptions + .newBuilder().setProjectId(args.required("bq_gcp_job_project")).setCredentials( + ServiceAccountCredentials.fromStream( + new FileInputStream(args.required("gcp_service_account_key_json")))).build().getService + + // Query to get the latest partition of the BigQuery table. + val query = + s"SELECT MAX(ts) AS RecentPartition FROM ${args.required("bq_gcp_table_project")}.${args + .required("bq_dataset")}.${args.required("bq_table")}" + val queryConfig = QueryJobConfiguration + .newBuilder(query) + .setUseLegacySql(false) + .build + val recentPartition = + bigQuery + .query(queryConfig).iterateAll().asScala.map(field => { + field.get(0).getStringValue + }).toArray.apply(0) + + // Query to extract the embeddings from the latest partition of the BigQuery table + val bigQueryConfig = BigQueryConfig( + args.required("bq_gcp_table_project"), + args + .required("bq_dataset"), + args.required("bq_table")) + .withServiceAccountKey(args.required("gcp_service_account_key_json")) + + val bqFilter = Some( + s"ts >= '${recentPartition}' AND DATE(TIMESTAMP_MILLIS(createdAt)) >= DATE_SUB(DATE('${recentPartition}'), INTERVAL 1 DAY) AND DATE(TIMESTAMP_MILLIS(createdAt)) <= DATE('${recentPartition}')") + val withFilterBigQueryConfig = bqFilter + .map { filter: String => + bigQueryConfig.withFilter(filter) + }.getOrElse(bigQueryConfig) + val source = new BigQuerySource(withFilterBigQueryConfig) + .andThen(avroMapper) + + val sourcePipe = TypedPipe + .from(source) + .map(transform[T](entityKind)) + + println(s"Job args: ${args.toString}") + val threadPool = Executors.newFixedThreadPool(concurrencyLevel) + + val serialization = args("algo") match { + case "brute_force" => + val PersistedEmbeddingIO = new ThriftIteratorIO[PersistedEmbedding](PersistedEmbedding) + SerializableBruteForceIndex[T, D]( + metric, + FuturePool.apply(threadPool), + new PersistedEmbeddingInjection[T](injection), + PersistedEmbeddingIO + ) + case "annoy" => + TypedAnnoyIndex.indexBuilder[T, D]( + numDimensions, + args.int("annoy_num_trees"), + metric, + injection, + FuturePool.apply(threadPool) + ) + case "hnsw" => + val efConstruction = args.int("ef_construction") + val maxM = args.int("max_m") + val expectedElements = args.int("expected_elements") + TypedHnswIndex.serializableIndex[T, D]( + numDimensions, + metric, + efConstruction, + maxM, + expectedElements, + injection, + ReadWriteFuturePool(FuturePool.apply(threadPool)) + ) + } + + // Output directory for the ANN index. We place the index under a timestamped directory which + // will be used by the ANN service to read the latest index + val timestamp = LocalDateTime.now().toEpochSecond(ZoneOffset.UTC) + val outputDirectory = FileUtils.getFileHandle(args("output_dir") + "/" + timestamp) + IndexBuilder + .run( + sourcePipe, + embeddingLimit, + serialization, + concurrencyLevel, + outputDirectory, + numDimensions + ).onComplete { _ => + threadPool.shutdown() + Unit + } + + } + + def avroMapper(row: GenericRecord): KeyVal[Long, java.util.List[Double]] = { + val entityId = row.get("entityId") + val embedding = row.get("embedding") + + KeyVal( + entityId.toString.toLong, + embedding.asInstanceOf[java.util.List[Double]] + ) + } + + def transform[T <: EntityId]( + entityKind: EntityKind[T] + )( + bqRecord: KeyVal[Long, java.util.List[Double]] + ): EmbeddingWithEntity[T] = { + val embeddingArray = bqRecord.value.asScala.map(_.floatValue()).toArray + val entity_id = entityKind match { + case UserKind => UserId(bqRecord.key).toThrift + case TweetKind => TweetId(bqRecord.key).toThrift + case TfwKind => TfwId(bqRecord.key).toThrift + case SemanticCoreKind => SemanticCoreId(bqRecord.key).toThrift + case _ => throw new IllegalArgumentException(s"Unsupported embedding kind: $entityKind") + } + EmbeddingWithEntity[T]( + EntityId.fromThrift(entity_id).asInstanceOf[T], + Embedding(embeddingArray)) + } +} + +/* +scalding remote run \ +--target ann/src/main/scala/com/twitter/ann/scalding/offline/indexbuilderfrombq:ann-index-builder-binary + */ +object IndexBuilderFromBQApp extends TwitterExecutionApp with IndexBuilderFromBQExecutable { + override def job: Execution[Unit] = Execution.getArgs.flatMap { args: Args => + indexBuilderExecution(args) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/serialization/BUILD b/ann/src/main/scala/com/twitter/ann/serialization/BUILD new file mode 100644 index 000000000..d2d6bf754 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/serialization/BUILD @@ -0,0 +1,14 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:core", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/thrift/com/twitter/ann/serialization:serialization-scala", + "mediaservices/commons", + "scrooge/scrooge-core", + "src/scala/com/twitter/scalding_internal/multiformat/format", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/serialization/DummyANNIndexInjection.scala b/ann/src/main/scala/com/twitter/ann/serialization/DummyANNIndexInjection.scala new file mode 100644 index 000000000..c93747234 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/serialization/DummyANNIndexInjection.scala @@ -0,0 +1,12 @@ +package com.twitter.ann.serialization + +import com.twitter.scalding_internal.multiformat.format.keyval.KeyValInjection +import com.twitter.scalding_internal.multiformat.format.keyval.KeyValInjection.Long2BigEndian + +/** +Dummy injection required to writeup dummy dal dataset to ANN folder. +**/ +object DummyANNIndexInjection { + val injection: KeyValInjection[Long, Long] = + KeyValInjection[Long, Long](Long2BigEndian, Long2BigEndian) +} diff --git a/ann/src/main/scala/com/twitter/ann/serialization/PersistedEmbeddingInjection.scala b/ann/src/main/scala/com/twitter/ann/serialization/PersistedEmbeddingInjection.scala new file mode 100644 index 000000000..50917fe56 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/serialization/PersistedEmbeddingInjection.scala @@ -0,0 +1,28 @@ +package com.twitter.ann.serialization + +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.EmbeddingType._ +import com.twitter.ann.serialization.thriftscala.PersistedEmbedding +import com.twitter.bijection.Injection +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import java.nio.ByteBuffer +import scala.util.Try + +/** + * Injection that converts from the ann.common.Embedding to the thrift PersistedEmbedding. + */ +class PersistedEmbeddingInjection[T]( + idByteInjection: Injection[T, Array[Byte]]) + extends Injection[EntityEmbedding[T], PersistedEmbedding] { + override def apply(entity: EntityEmbedding[T]): PersistedEmbedding = { + val byteBuffer = ByteBuffer.wrap(idByteInjection(entity.id)) + PersistedEmbedding(byteBuffer, embeddingSerDe.toThrift(entity.embedding)) + } + + override def invert(persistedEmbedding: PersistedEmbedding): Try[EntityEmbedding[T]] = { + val idTry = idByteInjection.invert(ArrayByteBufferCodec.decode(persistedEmbedding.id)) + idTry.map { id => + EntityEmbedding(id, embeddingSerDe.fromThrift(persistedEmbedding.embedding)) + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/serialization/ThriftIteratorIO.scala b/ann/src/main/scala/com/twitter/ann/serialization/ThriftIteratorIO.scala new file mode 100644 index 000000000..6f7389723 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/serialization/ThriftIteratorIO.scala @@ -0,0 +1,57 @@ +package com.twitter.ann.serialization + +import com.twitter.scrooge.{ThriftStruct, ThriftStructCodec} +import java.io.{InputStream, OutputStream} +import org.apache.thrift.protocol.TBinaryProtocol +import org.apache.thrift.transport.{TIOStreamTransport, TTransportException} + +/** + * Class that can serialize and deserialize an iterator of thrift objects. + * This class can do things lazily so there is no need to have all the object into memory. + */ +class ThriftIteratorIO[T <: ThriftStruct]( + codec: ThriftStructCodec[T]) { + def toOutputStream( + iterator: Iterator[T], + outputStream: OutputStream + ): Unit = { + val protocol = (new TBinaryProtocol.Factory).getProtocol(new TIOStreamTransport(outputStream)) + iterator.foreach { thriftObject => + codec.encode(thriftObject, protocol) + } + } + + /** + * Returns an iterator that lazily reads from an inputStream. + * @return + */ + def fromInputStream( + inputStream: InputStream + ): Iterator[T] = { + ThriftIteratorIO.getIterator(codec, inputStream) + } +} + +object ThriftIteratorIO { + private def getIterator[T <: ThriftStruct]( + codec: ThriftStructCodec[T], + inputStream: InputStream + ): Iterator[T] = { + val protocol = (new TBinaryProtocol.Factory).getProtocol(new TIOStreamTransport(inputStream)) + + def getNext: Option[T] = + try { + Some(codec.decode(protocol)) + } catch { + case e: TTransportException if e.getType == TTransportException.END_OF_FILE => + inputStream.close() + None + } + + Iterator + .continually[Option[T]](getNext) + .takeWhile(_.isDefined) + // It should be safe to call get on here since we are only take the defined ones. + .map(_.get) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTest.scala b/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTest.scala new file mode 100644 index 000000000..ed7754b1b --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTest.scala @@ -0,0 +1,66 @@ +package com.twitter.ann.service.loadtest + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common.{Appendable, Distance, EntityEmbedding, Queryable, RuntimeParams} +import com.twitter.util.logging.Logger +import com.twitter.util.{Duration, Future} + +class AnnIndexQueryLoadTest( + worker: AnnLoadTestWorker = new AnnLoadTestWorker()) { + lazy val logger = Logger(getClass.getName) + + def performQueries[T, P <: RuntimeParams, D <: Distance[D]]( + queryable: Queryable[T, P, D], + qps: Int, + duration: Duration, + queries: Seq[Query[T]], + concurrencyLevel: Int, + runtimeConfigurations: Seq[QueryTimeConfiguration[T, P]] + ): Future[Unit] = { + logger.info(s"Query set: ${queries.size}") + val res = Future.traverseSequentially(runtimeConfigurations) { config => + logger.info(s"Run load test with runtime config $config") + worker.runWithQps( + queryable, + queries, + qps, + duration, + config, + concurrencyLevel + ) + } + res.onSuccess { _ => + logger.info(s"Done loadtest with $qps for ${duration.inMilliseconds / 1000} sec") + } + res.unit + } +} + +/** + * @param embedding Embedding vector + * @param trueNeighbours List of true neighbour ids. Empty in case true neighbours dataset not available + * @tparam T Type of neighbour + */ +case class Query[T](embedding: EmbeddingVector, trueNeighbours: Seq[T] = Seq.empty) + +class AnnIndexBuildLoadTest( + buildRecorder: LoadTestBuildRecorder, + embeddingIndexer: EmbeddingIndexer = new EmbeddingIndexer()) { + lazy val logger = Logger(getClass.getName) + def indexEmbeddings[T, P <: RuntimeParams, D <: Distance[D]]( + appendable: Appendable[T, P, D], + indexSet: Seq[EntityEmbedding[T]], + concurrencyLevel: Int + ): Future[Queryable[T, P, D]] = { + logger.info(s"Index set: ${indexSet.size}") + val queryable = embeddingIndexer + .indexEmbeddings( + appendable, + buildRecorder, + indexSet, + concurrencyLevel + ).onSuccess(_ => logger.info(s"Done indexing..")) + + queryable + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTestMain.scala b/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTestMain.scala new file mode 100644 index 000000000..23f18d7af --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTestMain.scala @@ -0,0 +1,379 @@ +package com.twitter.ann.service.loadtest + +import com.twitter.ann.annoy.AnnoyCommon +import com.twitter.ann.annoy.AnnoyRuntimeParams +import com.twitter.ann.annoy.TypedAnnoyIndex +import com.twitter.ann.common._ +import com.twitter.ann.common.thriftscala.{Distance => ServiceDistance} +import com.twitter.ann.common.thriftscala.{RuntimeParams => ServiceRuntimeParams} +import com.twitter.ann.faiss.FaissCommon +import com.twitter.ann.faiss.FaissParams +import com.twitter.ann.hnsw.HnswCommon +import com.twitter.ann.hnsw.HnswParams +import com.twitter.ann.hnsw.TypedHnswIndex +import com.twitter.bijection.Injection +import com.twitter.cortex.ml.embeddings.common.EntityKind +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.util.DefaultTimer +import com.twitter.finatra.mtls.modules.ServiceIdentifierModule +import com.twitter.inject.server.TwitterServer +import com.twitter.util._ +import java.util.concurrent.TimeUnit + +/** + * To build and upload: + * $ ./bazel bundle ann/src/main/scala/com/twitter/ann/service/loadtest:bin --bundle-jvm-archive=zip + * $ packer add_version --cluster=smf1 $USER ann-loadtest dist/ann-loadtest.zip + */ +object AnnLoadTestMain extends TwitterServer { + private[this] val algo = + flag[String]("algo", "load test server types: [annoy/hnsw]") + private[this] val targetQPS = + flag[Int]("qps", "target QPS for load test") + private[this] val queryIdType = + flag[String]( + "query_id_type", + "query id type for load test: [long/string/int/user/tweet/word/url/tfwId]") + private[this] val indexIdType = + flag[String]( + "index_id_type", + "index id type for load test: [long/string/int/user/tweet/word/url/tfwId]") + private[this] val metric = + flag[String]("metric", "metric type for load test: [Cosine/L2/InnerProduct]") + private[this] val durationSec = + flag[Int]("duration_sec", "duration for the load test in sec") + private[this] val numberOfNeighbors = + flag[Seq[Int]]("number_of_neighbors", Seq(), "number of neighbors") + private[this] val dimension = flag[Int]("embedding_dimension", "dimension of embeddings") + private[this] val querySetDir = + flag[String]("query_set_dir", "", "Directory containing the queries") + private[this] val indexSetDir = + flag[String]( + "index_set_dir", + "", + "Directory containing the embeddings to be indexed" + ) + private[this] val truthSetDir = + flag[String]("truth_set_dir", "", "Directory containing the truth data") + private[this] val loadTestType = + flag[String]("loadtest_type", "Load test type [server/local]") + private[this] val serviceDestination = + flag[String]("service_destination", "wily address of remote query service") + private[this] val concurrencyLevel = + flag[Int]("concurrency_level", 8, "number of concurrent operations on the index") + + // Queries with random embeddings + private[this] val withRandomQueries = + flag[Boolean]("with_random_queries", false, "query with random embeddings") + private[this] val randomQueriesCount = + flag[Int]("random_queries_count", 50000, "total random queries") + private[this] val randomEmbeddingMinValue = + flag[Float]("random_embedding_min_value", -1.0f, "Min value of random embeddings") + private[this] val randomEmbeddingMaxValue = + flag[Float]("random_embedding_max_value", 1.0f, "Max value of random embeddings") + + // parameters for annoy + private[this] val numOfNodesToExplore = + flag[Seq[Int]]("annoy_num_of_nodes_to_explore", Seq(), "number of nodes to explore") + private[this] val numOfTrees = + flag[Int]("annoy_num_trees", 0, "number of trees to build") + + // parameters for HNSW + private[this] val efConstruction = flag[Int]("hnsw_ef_construction", "ef for Hnsw construction") + private[this] val ef = flag[Seq[Int]]("hnsw_ef", Seq(), "ef for Hnsw query") + private[this] val maxM = flag[Int]("hnsw_max_m", "maxM for Hnsw") + + // FAISS + private[this] val nprobe = flag[Seq[Int]]("faiss_nprobe", Seq(), "nprobe for faiss query") + private[this] val quantizerEf = + flag[Seq[Int]]("faiss_quantizerEf", Seq(0), "quantizerEf for faiss query") + private[this] val quantizerKfactorRF = + flag[Seq[Int]]("faiss_quantizerKfactorRF", Seq(0), "quantizerEf for faiss query") + private[this] val quantizerNprobe = + flag[Seq[Int]]("faiss_quantizerNprobe", Seq(0), "quantizerNprobe for faiss query") + private[this] val ht = + flag[Seq[Int]]("faiss_ht", Seq(0), "ht for faiss query") + + implicit val timer: Timer = DefaultTimer + + override def start(): Unit = { + logger.info("Starting load test..") + logger.info(flag.getAll().mkString("\t")) + + assert(numberOfNeighbors().nonEmpty, "number_of_neighbors not defined") + assert(dimension() > 0, s"Invalid dimension ${dimension()}") + + val inMemoryBuildRecorder = new InMemoryLoadTestBuildRecorder + + val queryableFuture = buildQueryable(inMemoryBuildRecorder) + val queryConfig = getQueryRuntimeConfig + val result = queryableFuture.flatMap { queryable => + performQueries(queryable, queryConfig, getQueries) + } + + Await.result(result) + System.out.println(s"Target QPS: ${targetQPS()}") + System.out.println(s"Duration per test: ${durationSec()}") + System.out.println(s"Concurrency Level: ${concurrencyLevel()}") + + LoadTestUtils + .printResults(inMemoryBuildRecorder, queryConfig) + .foreach(System.out.println) + + Await.result(close()) + System.exit(0) + } + + private[this] def getQueries[Q, I]: Seq[Query[I]] = { + if (withRandomQueries()) { + assert( + truthSetDir().isEmpty, + "Cannot use truth set when query with random embeddings enabled" + ) + val queries = LoadTestUtils.getRandomQuerySet( + dimension(), + randomQueriesCount(), + randomEmbeddingMinValue(), + randomEmbeddingMaxValue() + ) + + queries.map(Query[I](_)) + } else { + assert(querySetDir().nonEmpty, "Query set path is empty") + assert(queryIdType().nonEmpty, "Query id type is empty") + val queries = LoadTestUtils.getEmbeddingsSet[Q](querySetDir(), queryIdType()) + + if (truthSetDir().nonEmpty) { + // Join the queries with truth set data. + assert(indexIdType().nonEmpty, "Index id type is empty") + val truthSetMap = + LoadTestUtils.getTruthSetMap[Q, I](truthSetDir(), queryIdType(), indexIdType()) + queries.map(entity => Query[I](entity.embedding, truthSetMap(entity.id))) + } else { + queries.map(entity => Query[I](entity.embedding)) + } + } + } + + private[this] def getQueryRuntimeConfig[ + T, + P <: RuntimeParams + ]: Seq[QueryTimeConfiguration[T, P]] = { + val queryTimeConfig = algo() match { + case "annoy" => + assert(numOfNodesToExplore().nonEmpty, "Must specify the num_of_nodes_to_explore") + logger.info(s"Querying annoy index with num_of_nodes_to_explore ${numOfNodesToExplore()}") + for { + numNodes <- numOfNodesToExplore() + numOfNeighbors <- numberOfNeighbors() + } yield { + buildQueryTimeConfig[T, AnnoyRuntimeParams]( + numOfNeighbors, + AnnoyRuntimeParams(Some(numNodes)), + Map( + "numNodes" -> numNodes.toString, + "numberOfNeighbors" -> numOfNeighbors.toString + ) + ).asInstanceOf[QueryTimeConfiguration[T, P]] + } + case "hnsw" => + assert(ef().nonEmpty, "Must specify ef") + logger.info(s"Querying hnsw index with ef ${ef()}") + for { + ef <- ef() + numOfNeighbors <- numberOfNeighbors() + } yield { + buildQueryTimeConfig[T, HnswParams]( + numOfNeighbors, + HnswParams(ef), + Map( + "efConstruction" -> ef.toString, + "numberOfNeighbors" -> numOfNeighbors.toString + ) + ).asInstanceOf[QueryTimeConfiguration[T, P]] + } + case "faiss" => + assert(nprobe().nonEmpty, "Must specify nprobe") + def toNonZeroOptional(x: Int): Option[Int] = if (x != 0) Some(x) else None + for { + numOfNeighbors <- numberOfNeighbors() + runNProbe <- nprobe() + runQEF <- quantizerEf() + runKFactorEF <- quantizerKfactorRF() + runQNProbe <- quantizerNprobe() + runHT <- ht() + } yield { + val params = FaissParams( + Some(runNProbe), + toNonZeroOptional(runQEF), + toNonZeroOptional(runKFactorEF), + toNonZeroOptional(runQNProbe), + toNonZeroOptional(runHT)) + buildQueryTimeConfig[T, FaissParams]( + numOfNeighbors, + params, + Map( + "nprobe" -> params.nprobe.toString, + "quantizer_efSearch" -> params.quantizerEf.toString, + "quantizer_k_factor_rf" -> params.quantizerKFactorRF.toString, + "quantizer_nprobe" -> params.quantizerNprobe.toString, + "ht" -> params.ht.toString, + "numberOfNeighbors" -> numOfNeighbors.toString, + ) + ).asInstanceOf[QueryTimeConfiguration[T, P]] + } + case _ => throw new IllegalArgumentException(s"server type: $algo is not supported yet") + } + + queryTimeConfig + } + + private def buildQueryable[T, P <: RuntimeParams, D <: Distance[D]]( + inMemoryBuildRecorder: InMemoryLoadTestBuildRecorder + ): Future[Queryable[T, P, D]] = { + val queryable = loadTestType() match { + case "remote" => { + assert(serviceDestination().nonEmpty, "Service destination not defined") + logger.info(s"Running load test with remote service ${serviceDestination()}") + LoadTestUtils.buildRemoteServiceQueryClient[T, P, D]( + serviceDestination(), + "ann-load-test", + statsReceiver, + injector.instance[ServiceIdentifier], + getRuntimeParamInjection[P], + getDistanceInjection[D], + getIndexIdInjection[T] + ) + } + case "local" => { + logger.info("Running load test locally..") + assert(indexSetDir().nonEmpty, "Index set path is empty") + val statsLoadTestBuildRecorder = new StatsLoadTestBuildRecorder(statsReceiver) + val buildRecorder = + new ComposedLoadTestBuildRecorder(Seq(inMemoryBuildRecorder, statsLoadTestBuildRecorder)) + indexEmbeddingsAndGetQueryable[T, P, D]( + buildRecorder, + LoadTestUtils.getEmbeddingsSet(indexSetDir(), indexIdType()) + ) + } + } + queryable + } + + private def indexEmbeddingsAndGetQueryable[T, P <: RuntimeParams, D <: Distance[D]]( + buildRecorder: LoadTestBuildRecorder, + indexSet: Seq[EntityEmbedding[T]] + ): Future[Queryable[T, P, D]] = { + logger.info(s"Indexing entity embeddings in index set with size ${indexSet.size}") + val metric = getDistanceMetric[D] + val indexIdInjection = getIndexIdInjection[T] + val indexBuilder = new AnnIndexBuildLoadTest(buildRecorder) + val appendable = algo() match { + case "annoy" => + assert(numOfTrees() > 0, "Must specify the number of trees for annoy") + logger.info( + s"Creating annoy index locally with num_of_trees: ${numOfTrees()}" + ) + TypedAnnoyIndex + .indexBuilder( + dimension(), + numOfTrees(), + metric, + indexIdInjection, + FuturePool.interruptibleUnboundedPool + ) + case "hnsw" => + assert(efConstruction() > 0 && maxM() > 0, "Must specify ef_construction and max_m") + logger.info( + s"Creating hnsw index locally with max_m: ${maxM()} and ef_construction: ${efConstruction()}" + ) + TypedHnswIndex + .index[T, D]( + dimension(), + metric, + efConstruction(), + maxM(), + indexSet.size, + ReadWriteFuturePool(FuturePool.interruptibleUnboundedPool) + ) + } + + indexBuilder + .indexEmbeddings(appendable, indexSet, concurrencyLevel()) + .asInstanceOf[Future[Queryable[T, P, D]]] + } + + private[this] def performQueries[T, P <: RuntimeParams, D <: Distance[D]]( + queryable: Queryable[T, P, D], + queryTimeConfig: Seq[QueryTimeConfiguration[T, P]], + queries: Seq[Query[T]] + ): Future[Unit] = { + val indexQuery = new AnnIndexQueryLoadTest() + val duration = Duration(durationSec().toLong, TimeUnit.SECONDS) + indexQuery.performQueries( + queryable, + targetQPS(), + duration, + queries, + concurrencyLevel(), + queryTimeConfig + ) + } + + // provide index id injection based on argument + private[this] def getIndexIdInjection[T]: Injection[T, Array[Byte]] = { + val injection = indexIdType() match { + case "long" => AnnInjections.LongInjection + case "string" => AnnInjections.StringInjection + case "int" => AnnInjections.IntInjection + case entityKind => EntityKind.getEntityKind(entityKind).byteInjection + } + injection.asInstanceOf[Injection[T, Array[Byte]]] + } + + private[this] def getRuntimeParamInjection[ + P <: RuntimeParams + ]: Injection[P, ServiceRuntimeParams] = { + val injection = algo() match { + case "annoy" => AnnoyCommon.RuntimeParamsInjection + case "hnsw" => HnswCommon.RuntimeParamsInjection + case "faiss" => FaissCommon.RuntimeParamsInjection + } + + injection.asInstanceOf[Injection[P, ServiceRuntimeParams]] + } + + // provide distance injection based on argument + private[this] def getDistanceInjection[D <: Distance[D]]: Injection[D, ServiceDistance] = { + Metric.fromString(metric()).asInstanceOf[Injection[D, ServiceDistance]] + } + + private[this] def getDistanceMetric[D <: Distance[D]]: Metric[D] = { + Metric.fromString(metric()).asInstanceOf[Metric[D]] + } + + private[this] def buildQueryTimeConfig[T, P <: RuntimeParams]( + numOfNeighbors: Int, + params: P, + config: Map[String, String] + ): QueryTimeConfiguration[T, P] = { + val printableQueryRecorder = new InMemoryLoadTestQueryRecorder[T]() + val scope = config.flatMap { case (key, value) => Seq(key, value.toString) }.toSeq + val statsLoadTestQueryRecorder = new StatsLoadTestQueryRecorder[T]( + // Put the run time params in the stats receiver names so that we can tell the difference when + // we look at them later. + statsReceiver.scope(algo()).scope(scope: _*) + ) + val queryRecorder = new ComposedLoadTestQueryRecorder( + Seq(printableQueryRecorder, statsLoadTestQueryRecorder) + ) + QueryTimeConfiguration( + queryRecorder, + params, + numOfNeighbors, + printableQueryRecorder + ) + } + + override protected def modules: Seq[com.google.inject.Module] = Seq(ServiceIdentifierModule) +} diff --git a/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTestWorker.scala b/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTestWorker.scala new file mode 100644 index 000000000..87ed6a1b3 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/loadtest/AnnLoadTestWorker.scala @@ -0,0 +1,116 @@ +package com.twitter.ann.service.loadtest + +import com.google.common.annotations.VisibleForTesting +import com.twitter.ann.common.Distance +import com.twitter.ann.common.Queryable +import com.twitter.ann.common.RuntimeParams +import com.twitter.concurrent.AsyncMeter +import com.twitter.concurrent.AsyncStream +import com.twitter.finagle.util.DefaultTimer +import com.twitter.logging.Logger +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Stopwatch +import com.twitter.util.Timer +import com.twitter.util.Try +import java.util.concurrent.atomic.AtomicInteger + +object QueryTimeConfiguration { + val ResultHeader = + "params\tnumNeighbors\trecall@1\trecall@10\trecall\tavgLatencyMicros\tp50LatencyMicros\tp90LatencyMicros\tp99LatencyMicros\tavgRPS" +} + +case class QueryTimeConfiguration[T, P <: RuntimeParams]( + recorder: LoadTestQueryRecorder[T], + param: P, + numberOfNeighbors: Int, + private val results: InMemoryLoadTestQueryRecorder[T]) { + override def toString: String = + s"QueryTimeConfiguration(param = $param, numberOfNeighbors = $numberOfNeighbors)" + + def printResults: String = { + val snapshot = results.computeSnapshot() + s"$param\t$numberOfNeighbors\t${results.top1Recall}\t${results.top10Recall}\t${results.recall}\t${snapshot.avgQueryLatencyMicros}\t${snapshot.p50QueryLatencyMicros}\t${snapshot.p90QueryLatencyMicros}\t${snapshot.p99QueryLatencyMicros}\t${results.avgRPS}" + } +} + +/** + * Basic worker for ANN benchmark, send query with configured QPS and record results + */ +class AnnLoadTestWorker( + timer: Timer = DefaultTimer) { + private val logger = Logger() + + /** + * @param queries List of tuple of query embedding and corresponding list of truth set of ids associated with the embedding + * @param qps the maximum number of request per second to send to the queryable. Note that if you + * do not set the concurrency level high enough you may not be able to achieve this. + * @param duration how long to perform the load test. + * @param configuration Query configuration encapsulating runtime params and recorder. + * @param concurrencyLevel The maximum number of concurrent requests to the queryable at a time. + * Note that you may not be able to achieve this number of concurrent + * requests if you do not have the QPS set high enough. + * + * @return a Future that completes when the load test is over. It contains the number of requests + * sent. + */ + def runWithQps[T, P <: RuntimeParams, D <: Distance[D]]( + queryable: Queryable[T, P, D], + queries: Seq[Query[T]], + qps: Int, + duration: Duration, + configuration: QueryTimeConfiguration[T, P], + concurrencyLevel: Int + ): Future[Int] = { + val elapsed = Stopwatch.start() + val atomicInteger = new AtomicInteger(0) + val fullStream = Stream.continually { + if (elapsed() <= duration) { + logger.ifDebug(s"running with config: $configuration") + Some(atomicInteger.getAndIncrement() % queries.size) + } else { + logger.ifDebug(s"stopping with config: $configuration") + None + } + } + val limitedStream = fullStream.takeWhile(_.isDefined).flatten + // at most we will have concurrencyLevel concurrent requests. So we should never have more than + // concurrency level waiters. + val asyncMeter = AsyncMeter.perSecond(qps, concurrencyLevel)(timer) + + Future.Unit.before { + AsyncStream + .fromSeq(limitedStream).mapConcurrent(concurrencyLevel) { index => + asyncMeter.await(1).flatMap { _ => + performQuery(configuration, queryable, queries(index)) + } + }.size + } + } + + @VisibleForTesting + private[loadtest] def performQuery[T, P <: RuntimeParams, D <: Distance[D]]( + configuration: QueryTimeConfiguration[T, P], + queryable: Queryable[T, P, D], + query: Query[T] + ): Future[Try[Unit]] = { + val elapsed = Stopwatch.start() + queryable + .query(query.embedding, configuration.numberOfNeighbors, configuration.param) + .onSuccess { res: List[T] => + // underneath LoadTestRecorder will record results for load test + // knnMap should be truncated to be same size as query result + configuration.recorder.recordQueryResult( + query.trueNeighbours, + res, + elapsed.apply() + ) + logger.ifDebug(s"Successful query for $query") + } + .onFailure { e => + logger.error(s"Failed query for $query: " + e) + } + .unit + .liftToTry + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/loadtest/BUILD b/ann/src/main/scala/com/twitter/ann/service/loadtest/BUILD new file mode 100644 index 000000000..9aa698242 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/loadtest/BUILD @@ -0,0 +1,31 @@ +scala_library( + name = "loadtest", + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/resources", + "ann/src/main/scala/com/twitter/ann/annoy", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/faiss", + "ann/src/main/scala/com/twitter/ann/hnsw", + "ann/src/main/scala/com/twitter/ann/util", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "finatra/inject/inject-server/src/main/scala", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "twitter-server-internal/src/main/scala", + "util/util-logging/src/main/scala", + ], +) + +jvm_binary( + name = "bin", + basename = "ann-loadtest", + main = "com.twitter.ann.service.loadtest.AnnLoadTestMain", + runtime_platform = "java11", + dependencies = [ + ":loadtest", + "3rdparty/jvm/org/slf4j:slf4j-jdk14", + "twitter-server/slf4j-jdk14/src/main/scala", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/service/loadtest/EmbeddingIndexer.scala b/ann/src/main/scala/com/twitter/ann/service/loadtest/EmbeddingIndexer.scala new file mode 100644 index 000000000..b963c3eb7 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/loadtest/EmbeddingIndexer.scala @@ -0,0 +1,28 @@ +package com.twitter.ann.service.loadtest + +import com.twitter.ann.common.{Appendable, Distance, EntityEmbedding, Queryable, RuntimeParams} +import com.twitter.ann.util.IndexBuilderUtils +import com.twitter.util.{Future, Stopwatch} + +class EmbeddingIndexer { + // Index embeddings into Appendable and return the (appendable, latency) pair + // we need to return appendable itself here because for Annoy, we need to build + // appendable and serialize it first, and then we could query with index directory + // once we are confident to remove Annoy, should clean up this method. + def indexEmbeddings[T, P <: RuntimeParams, D <: Distance[D]]( + appendable: Appendable[T, P, D], + recorder: LoadTestBuildRecorder, + indexSet: Seq[EntityEmbedding[T]], + concurrencyLevel: Int + ): Future[Queryable[T, P, D]] = { + val indexBuildingTimeElapsed = Stopwatch.start() + val future = IndexBuilderUtils.addToIndex(appendable, indexSet, concurrencyLevel) + future.map { _ => + val indexBuildingTime = indexBuildingTimeElapsed() + val toQueryableElapsed = Stopwatch.start() + val queryable = appendable.toQueryable + recorder.recordIndexCreation(indexSet.size, indexBuildingTime, toQueryableElapsed()) + queryable + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/loadtest/LoadTestRecorder.scala b/ann/src/main/scala/com/twitter/ann/service/loadtest/LoadTestRecorder.scala new file mode 100644 index 000000000..0bcdc9be8 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/loadtest/LoadTestRecorder.scala @@ -0,0 +1,231 @@ +package com.twitter.ann.service.loadtest + +import com.google.common.util.concurrent.AtomicDouble +import com.twitter.finagle.stats.{MetricsBucketedHistogram, Snapshot, StatsReceiver} +import com.twitter.util.{Duration, Stopwatch} +import java.util.concurrent.atomic.{AtomicInteger, AtomicReference} + +trait LoadTestQueryRecorder[T] { + def recordQueryResult( + trueNeighbors: Seq[T], + foundNeighbors: Seq[T], + queryLatency: Duration + ): Unit +} + +case class LoadTestQueryResults( + numResults: Int, + top1Recall: Float, + top10Recall: Option[Float], + overallRecall: Float) + +private object LoadTestQueryRecorder { + def recordQueryResult[T]( + trueNeighbors: Seq[T], + foundNeighbors: Seq[T] + ): LoadTestQueryResults = { + // record number of results returned + val numResults = foundNeighbors.size + if (trueNeighbors.isEmpty) { + LoadTestQueryResults( + numResults, + 0f, + Option.empty, + 0f + ) + } else { + // record top 1, top 10 and overall recall + // recall here is computed as number of true neighbors within the returned points set + // divides by the number of required neighbors + val top1Recall = foundNeighbors.intersect(Seq(trueNeighbors.head)).size + val top10Recall = if (numResults >= 10 && trueNeighbors.size >= 10) { + Some( + trueNeighbors.take(10).intersect(foundNeighbors).size.toFloat / 10 + ) + } else { + None + } + + val overallRecall = trueNeighbors + .take(foundNeighbors.size).intersect(foundNeighbors).size.toFloat / + Math.min(foundNeighbors.size, trueNeighbors.size) + + LoadTestQueryResults( + numResults, + top1Recall, + top10Recall, + overallRecall + ) + } + } +} + +class StatsLoadTestQueryRecorder[T]( + statsReceiver: StatsReceiver) + extends LoadTestQueryRecorder[T] { + private[this] val numResultsStats = statsReceiver.stat("number_of_results") + private[this] val recallStats = statsReceiver.stat("recall") + private[this] val top1RecallStats = statsReceiver.stat("top_1_recall") + private[this] val top10RecallStats = statsReceiver.stat("top_10_recall") + private[this] val queryLatencyMicrosStats = statsReceiver.stat("query_latency_micros") + + override def recordQueryResult( + trueNeighbors: Seq[T], + foundNeighbors: Seq[T], + queryLatency: Duration + ): Unit = { + val results = LoadTestQueryRecorder.recordQueryResult(trueNeighbors, foundNeighbors) + numResultsStats.add(results.numResults) + recallStats.add(results.overallRecall * 100) + results.top10Recall.foreach { top10Recall => + top10RecallStats.add(top10Recall * 100) + } + top1RecallStats.add(results.top1Recall * 100) + queryLatencyMicrosStats.add(queryLatency.inMicroseconds) + } +} + +trait LoadTestBuildRecorder { + def recordIndexCreation( + indexSize: Int, + indexLatency: Duration, + toQueryableLatency: Duration + ): Unit +} + +class StatsLoadTestBuildRecorder( + statsReceiver: StatsReceiver) + extends LoadTestBuildRecorder { + private[this] val indexLatencyGauge = statsReceiver.addGauge("index_latency_ms")(_) + private[this] val indexSizeGauge = statsReceiver.addGauge("index_size")(_) + private[this] val toQueryableGauge = statsReceiver.addGauge("to_queryable_latency_ms")(_) + + override def recordIndexCreation( + indexSize: Int, + indexLatency: Duration, + toQueryableLatency: Duration + ): Unit = { + indexLatencyGauge(indexLatency.inMillis) + indexSizeGauge(indexSize) + toQueryableGauge(toQueryableLatency.inMillis) + } +} + +class QueryRecorderSnapshot(snapshot: Snapshot) { + def avgQueryLatencyMicros: Double = snapshot.average + def p50QueryLatencyMicros: Double = + snapshot.percentiles.find(_.quantile == .5).get.value + def p90QueryLatencyMicros: Double = + snapshot.percentiles.find(_.quantile == .9).get.value + def p99QueryLatencyMicros: Double = + snapshot.percentiles.find(_.quantile == .99).get.value +} + +class InMemoryLoadTestQueryRecorder[T]( + // You have to specify a name of the histogram even though it is not used + // Use latch period of bottom. We will compute a new snapshot every time we call computeSnapshot + private[this] val latencyHistogram: MetricsBucketedHistogram = + new MetricsBucketedHistogram("latencyhistogram", latchPeriod = Duration.Bottom)) + extends LoadTestQueryRecorder[T] { + private[this] val counter = new AtomicInteger(0) + private[this] val countMoreThan10Results = new AtomicInteger(0) + private[this] val recallSum = new AtomicDouble(0.0) + private[this] val top1RecallSum = new AtomicDouble(0.0) + private[this] val top10RecallSum = new AtomicDouble(0.0) + private[this] val elapsedTimeFun = new AtomicReference[(Stopwatch.Elapsed, Duration)]() + private[this] val elapsedTime = new AtomicReference[Duration](Duration.Zero) + + /** + * Compute a snapshot of what happened between the time that this was called and the previous time + * it was called. + * @return + */ + def computeSnapshot(): QueryRecorderSnapshot = { + new QueryRecorderSnapshot(latencyHistogram.snapshot()) + } + + def recall: Double = + if (counter.get() != 0) { + recallSum.get * 100 / counter.get() + } else { 0 } + + def top1Recall: Double = + if (counter.get() != 0) { + top1RecallSum.get * 100 / counter.get() + } else { 0 } + def top10Recall: Double = + if (countMoreThan10Results.get() != 0) { + top10RecallSum.get * 100 / countMoreThan10Results.get() + } else { 0 } + + def avgRPS: Double = + if (elapsedTime.get() != Duration.Zero) { + (counter.get().toDouble * 1e9) / elapsedTime.get().inNanoseconds + } else { 0 } + + override def recordQueryResult( + trueNeighbors: Seq[T], + foundNeighbors: Seq[T], + queryLatency: Duration + ): Unit = { + elapsedTimeFun.compareAndSet(null, (Stopwatch.start(), queryLatency)) + val results = LoadTestQueryRecorder.recordQueryResult(trueNeighbors, foundNeighbors) + top1RecallSum.addAndGet(results.top1Recall) + results.top10Recall.foreach { top10Recall => + top10RecallSum.addAndGet(top10Recall) + countMoreThan10Results.incrementAndGet() + } + recallSum.addAndGet(results.overallRecall) + latencyHistogram.add(queryLatency.inMicroseconds) + counter.incrementAndGet() + // Requests are assumed to have started around the time time of the first time record was called + // plus the time it took for that query to hhave completed. + val (elapsedSinceFirstCall, firstQueryLatency) = elapsedTimeFun.get() + val durationSoFar = elapsedSinceFirstCall() + firstQueryLatency + elapsedTime.set(durationSoFar) + } +} + +class InMemoryLoadTestBuildRecorder extends LoadTestBuildRecorder { + var indexLatency: Duration = Duration.Zero + var indexSize: Int = 0 + var toQueryableLatency: Duration = Duration.Zero + + override def recordIndexCreation( + size: Int, + indexLatencyArg: Duration, + toQueryableLatencyArg: Duration + ): Unit = { + indexLatency = indexLatencyArg + indexSize = size + toQueryableLatency = toQueryableLatencyArg + } +} + +/** + * A LoadTestRecorder that be composed by other recorders + */ +class ComposedLoadTestQueryRecorder[T]( + recorders: Seq[LoadTestQueryRecorder[T]]) + extends LoadTestQueryRecorder[T] { + override def recordQueryResult( + trueNeighbors: Seq[T], + foundNeighbors: Seq[T], + queryLatency: Duration + ): Unit = recorders.foreach { + _.recordQueryResult(trueNeighbors, foundNeighbors, queryLatency) + } +} + +/** + * A LoadTestRecorder that be composed by other recorders + */ +class ComposedLoadTestBuildRecorder( + recorders: Seq[LoadTestBuildRecorder]) + extends LoadTestBuildRecorder { + override def recordIndexCreation( + indexSize: Int, + indexLatency: Duration, + toQueryableLatency: Duration + ): Unit = recorders.foreach { _.recordIndexCreation(indexSize, indexLatency, toQueryableLatency) } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/loadtest/LoadTestUtils.scala b/ann/src/main/scala/com/twitter/ann/service/loadtest/LoadTestUtils.scala new file mode 100644 index 000000000..b1009cc62 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/loadtest/LoadTestUtils.scala @@ -0,0 +1,200 @@ +package com.twitter.ann.service.loadtest + +import com.google.common.annotations.VisibleForTesting +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.ann.common.thriftscala.NearestNeighborQuery +import com.twitter.ann.common.thriftscala.NearestNeighborResult +import com.twitter.ann.common.thriftscala.{Distance => ServiceDistance} +import com.twitter.ann.common.thriftscala.{RuntimeParams => ServiceRuntimeParams} +import com.twitter.ann.common.Distance +import com.twitter.ann.common.EntityEmbedding +import com.twitter.ann.common.Queryable +import com.twitter.ann.common.RuntimeParams +import com.twitter.ann.common.ServiceClientQueryable +import com.twitter.bijection.Injection +import com.twitter.cortex.ml.embeddings.common.EntityKind +import com.twitter.finagle.builder.ClientBuilder +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient.MtlsThriftMuxClientSyntax +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.thrift.ClientId +import com.twitter.finagle.Service +import com.twitter.finagle.ThriftMux +import com.twitter.ml.api.embedding.Embedding +import com.twitter.search.common.file.AbstractFile.Filter +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.FileUtils +import com.twitter.search.common.file.LocalFile +import com.twitter.util.Future +import com.twitter.util.logging.Logger +import java.io.File +import scala.collection.JavaConversions._ +import scala.collection.mutable +import scala.util.Random + +object LoadTestUtils { + lazy val Log = Logger(getClass.getName) + + private[this] val LocalPath = "." + private[this] val RNG = new Random(100) + + private[loadtest] def getTruthSetMap[Q, I]( + directory: String, + queryIdType: String, + indexIdType: String + ): Map[Q, Seq[I]] = { + Log.info(s"Loading truth set from ${directory}") + val queryConverter = getKeyConverter[Q](queryIdType) + val indexConverter = getKeyConverter[I](indexIdType) + val res = loadKnnDirFileToMap( + getLocalFileHandle(directory), + // Knn truth file tsv format: [id neighbor:distance neighbor:distance ...] + arr => { arr.map(str => indexConverter(str.substring(0, str.lastIndexOf(":")))).toSeq }, + queryConverter + ) + assert(res.nonEmpty, s"Must have some something in the truth set ${directory}") + res + } + + private[this] def getLocalFileHandle( + directory: String + ): AbstractFile = { + val fileHandle = FileUtils.getFileHandle(directory) + if (fileHandle.isInstanceOf[LocalFile]) { + fileHandle + } else { + val localFileHandle = + FileUtils.getFileHandle(s"${LocalPath}${File.separator}${fileHandle.getName}") + fileHandle.copyTo(localFileHandle) + localFileHandle + } + } + + private[loadtest] def getEmbeddingsSet[T]( + directory: String, + idType: String + ): Seq[EntityEmbedding[T]] = { + Log.info(s"Loading embeddings from ${directory}") + val res = loadKnnDirFileToMap( + getLocalFileHandle(directory), + arr => { arr.map(_.toFloat) }, + getKeyConverter[T](idType) + ).map { case (key, value) => EntityEmbedding[T](key, Embedding(value.toArray)) }.toSeq + assert(res.nonEmpty, s"Must have some something in the embeddings set ${directory}") + res + } + + private[this] def loadKnnDirFileToMap[K, V]( + directory: AbstractFile, + f: Array[String] => Seq[V], + converter: String => K + ): Map[K, Seq[V]] = { + val map = mutable.HashMap[K, Seq[V]]() + directory + .listFiles(new Filter { + override def accept(file: AbstractFile): Boolean = + file.getName != AbstractFile.SUCCESS_FILE_NAME + }).foreach { file => + asScalaBuffer(file.readLines()).foreach { line => + addToMapFromKnnString(line, f, map, converter) + } + } + map.toMap + } + + // Generating random float with value range bounded between minValue and maxValue + private[loadtest] def getRandomQuerySet( + dimension: Int, + totalQueries: Int, + minValue: Float, + maxValue: Float + ): Seq[EmbeddingVector] = { + Log.info( + s"Generating $totalQueries random queries for dimension $dimension with value between $minValue and $maxValue...") + assert(totalQueries > 0, s"Total random queries $totalQueries should be greater than 0") + assert( + maxValue > minValue, + s"Random embedding max value should be greater than min value. min: $minValue max: $maxValue") + (1 to totalQueries).map { _ => + val embedding = Array.fill(dimension)(minValue + (maxValue - minValue) * RNG.nextFloat()) + Embedding(embedding) + } + } + + private[this] def getKeyConverter[T](idType: String): String => T = { + val converter = idType match { + case "long" => + (s: String) => s.toLong + case "string" => + (s: String) => s + case "int" => + (s: String) => s.toInt + case entityKind => + (s: String) => EntityKind.getEntityKind(entityKind).stringInjection.invert(s).get + } + converter.asInstanceOf[String => T] + } + + private[loadtest] def buildRemoteServiceQueryClient[T, P <: RuntimeParams, D <: Distance[D]]( + destination: String, + clientId: String, + statsReceiver: StatsReceiver, + serviceIdentifier: ServiceIdentifier, + runtimeParamInjection: Injection[P, ServiceRuntimeParams], + distanceInjection: Injection[D, ServiceDistance], + indexIdInjection: Injection[T, Array[Byte]] + ): Future[Queryable[T, P, D]] = { + val client: AnnQueryService.MethodPerEndpoint = new AnnQueryService.FinagledClient( + service = ClientBuilder() + .reportTo(statsReceiver) + .dest(destination) + .stack(ThriftMux.client.withMutualTls(serviceIdentifier).withClientId(ClientId(clientId))) + .build(), + stats = statsReceiver + ) + + val service = new Service[NearestNeighborQuery, NearestNeighborResult] { + override def apply(request: NearestNeighborQuery): Future[NearestNeighborResult] = + client.query(request) + } + + Future.value( + new ServiceClientQueryable[T, P, D]( + service, + runtimeParamInjection, + distanceInjection, + indexIdInjection + ) + ) + } + + // helper method to convert a line in KNN file output format into map + @VisibleForTesting + def addToMapFromKnnString[K, V]( + line: String, + f: Array[String] => Seq[V], + map: mutable.HashMap[K, Seq[V]], + converter: String => K + ): Unit = { + val items = line.split("\t") + map += converter(items(0)) -> f(items.drop(1)) + } + + def printResults( + inMemoryBuildRecorder: InMemoryLoadTestBuildRecorder, + queryTimeConfigurations: Seq[QueryTimeConfiguration[_, _]] + ): Seq[String] = { + val queryTimeConfigStrings = queryTimeConfigurations.map { config => + config.printResults + } + + Seq( + "Build results", + "indexingTimeSecs\ttoQueryableTimeMs\tindexSize", + s"${inMemoryBuildRecorder.indexLatency.inSeconds}\t${inMemoryBuildRecorder.toQueryableLatency.inMilliseconds}\t${inMemoryBuildRecorder.indexSize}", + "Query results", + QueryTimeConfiguration.ResultHeader + ) ++ queryTimeConfigStrings + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/loadtest/README.md b/ann/src/main/scala/com/twitter/ann/service/loadtest/README.md new file mode 100644 index 000000000..b668788ea --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/loadtest/README.md @@ -0,0 +1,218 @@ +# Loadtest ANN query service with random embeddings + +An ANN query service can be load-tested with random embeddings as queries, generated automatically by loadtest tool. +Example script to load test a ANN query service with random embeddings: + +```bash +$ aurora job create smf1//staging/ann-loadtest-service ann/src/main/aurora/loadtest/loadtest.aurora \ + --bind=profile.name=ann-loadtest-service \ + --bind=profile.role= \ + --bind=profile.duration_sec=10 \ + --bind=profile.number_of_neighbors=10 \ + --bind=profile.qps=200 \ + --bind=profile.algo=hnsw \ + --bind=profile.metric=Cosine \ + --bind=profile.index_id_type=int \ + --bind=profile.hnsw_ef=400,600,800 \ + --bind=profile.embedding_dimension=3 \ + --bind=profile.concurrency_level=8 \ + --bind=profile.loadtest_type=remote \ + --bind=profile.service_destination=/srv#/staging/local/apoorvs/ann-server-test \ + --bind=profile.with_random_queries=True \ + --bind=profile.random_queries_count=50000 \ + --bind=profile.random_embedding_min_value=-10.0 \ + --bind=profile.random_embedding_max_value=10.0 +``` + +It will run the loadtest with `50000` random embeddings, where each embedding value will be range bounded between `random_embedding_min_value` and `random_embedding_max_value`. +In the above the case it will be bounded between `-10.0` and `10.0`. +If `random_embedding_min_value` and `random_embedding_max_value` are not supplied default value of `-1.0` and `1.0` will be used. + +## Results + +Load test results will be printed to stdout of an aurora job. + +# Loadtest ANN query service with query set + +An ANN query service can be load-tested with sample queries drawn from the embeddings dataset. +For creating sample queries i.e `query_set` refer this [section](#query-set-generator). + +Test is run with `live` version of loadtest binary that is already available in packer. +Example script to load test a ANN query service: + +```bash +$ aurora job create smf1//staging/ann-loadtest-service ann/src/main/aurora/loadtest/loadtest.aurora \ + --bind=profile.name=ann-loadtest-service \ + --bind=profile.role= \ + --bind=profile.duration_sec=10 \ + --bind=profile.query_set_dir=hdfs:///user/cortex/ann_example/dataset/search/query_knn/query_set \ + --bind=profile.number_of_neighbors=10 \ + --bind=profile.qps=200 \ + --bind=profile.algo=hnsw \ + --bind=profile.query_id_type=string \ + --bind=profile.index_id_type=string \ + --bind=profile.metric=Cosine \ + --bind=profile.hnsw_ef=400,600,800 \ + --bind=profile.embedding_dimension=100 \ + --bind=profile.concurrency_level=8 \ + --bind=profile.loadtest_type=remote \ + --bind=profile.service_destination=/srv#/staging/local/apoorvs/ann-server-test +``` + +# In-Memory based loadtest for measuring recall + +Load test can be with the above created dataset in memory. +For running in in-memory mode, index is created in memory, and for that you need `query_set/index_set/truth_set`. +For creating this dataset refer this [section](#knn-truth-set-generator). + +Test is run with `live` version loadtest binary that is already available in packer. +Example script In-Memory index building and benchmarking: + +```bash +$ aurora job create smf1//staging/ann-loadtest ann/src/main/aurora/loadtest/loadtest.aurora \ + --bind=profile.name=ann-loadtest \ + --bind=profile.role= \ + --bind=profile.duration_sec=10 \ + --bind=profile.truth_set_dir=hdfs:///user/cortex/ann_example/dataset/search/query_knn/true_knn \ + --bind=profile.query_set_dir=hdfs:///user/cortex/ann_example/dataset/search/query_knn/query_set \ + --bind=profile.index_set_dir=hdfs:///user/cortex/ann_example/dataset/search/query_knn/index_set \ + --bind=profile.number_of_neighbors=10 \ + --bind=profile.qps=200 \ + --bind=profile.algo=hnsw \ + --bind=profile.query_id_type=string \ + --bind=profile.index_id_type=string \ + --bind=profile.metric=Cosine \ + --bind=profile.hnsw_ef_construction=15 \ + --bind=profile.hnsw_max_m=10 \ + --bind=profile.hnsw_ef=400,600,800 \ + --bind=profile.embedding_dimension=100 \ + --bind=profile.concurrency_level=8 \ + --bind=profile.loadtest_type=local +``` + +# Loadtest faiss + +```bash +$ aurora job create smf1//staging/ann-loadtest-service ann/src/main/aurora/loadtest/loadtest.aurora \ + --bind=profile.name=ann-loadtest-service \ + --bind=profile.role= \ + --bind=profile.duration_sec=10 \ + --bind=profile.number_of_neighbors=10 \ + --bind=profile.qps=200 \ + --bind=profile.algo=faiss \ # Changed to faiss + --bind=profile.faiss_nprobe=1,3,9,27,81,128,256,512 \ # Added + --bind=profile.faiss_quantizerKfactorRF=1,2 \ # Pass a list to do grid search + --bind=profile.faiss_quantizerNprobe=128 \ # Added + --bind=profile.metric=Cosine \ + --bind=profile.index_id_type=int \ + --bind=profile.embedding_dimension=3 \ + --bind=profile.concurrency_level=8 \ + --bind=profile.loadtest_type=remote \ + --bind=profile.service_destination=/srv#/staging/local/apoorvs/ann-server-test \ + --bind=profile.with_random_queries=True \ + --bind=profile.random_queries_count=50000 \ + --bind=profile.random_embedding_min_value=-10.0 \ + --bind=profile.random_embedding_max_value=10.0 +``` + +Full list of faiss specific parameters. [Exact definition of all available parameters](https://github.com/facebookresearch/faiss/blob/36f2998a6469280cef3b0afcde2036935a29aa1f/faiss/AutoTune.cpp#L444). Please reach out if you need to use parameters which aren't shown below + +``` +faiss_nprobe = Default(String, '1') +faiss_quantizerEf = Default(String, '0') +faiss_quantizerKfactorRF = Default(String, '0') +faiss_quantizerNprobe = Default(String, '0') +faiss_ht = Default(String, '0') +``` + +# Query Set Generator + +Sample queries can be generated from the embeddings dataset and can be used directly with load test in tab format. +To generate sample queries `EmbeddingSamplingJob` can be used as follows. + +```bash +$ ./bazel bundle cortex-core/entity-embeddings/src/scala/main/com/twitter/scalding/util/EmbeddingFormat:embeddingformat-deploy + +$ export INPUT_PATH=/user/cortex/embeddings/user/tfwproducersg/embedding_datarecords_on_data/2018/05/01 +$ export ENTITY_KIND=user +$ export EMBEDDING_INPUT_FORMAT=usertensor +$ export OUTPUT_PATH=/user/$USER/sample_embeddings +$ export SAMPLE_PERCENT=0.1 + +$ oscar hdfs \ + --screen --tee log.txt \ + --hadoop-client-memory 6000 \ + --hadoop-properties "yarn.app.mapreduce.am.resource.mb=6000;yarn.app.mapreduce.am.command-opts='-Xmx7500m';mapreduce.map.memory.mb=7500;mapreduce.reduce.java.opts='-Xmx6000m';mapreduce.reduce.memory.mb=7500;mapred.task.timeout=36000000;" \ + --min-split-size 284217728 \ + --bundle embeddingformat-deploy \ + --host hadoopnest1.smf1.twitter.com \ + --tool com.twitter.scalding.entityembeddings.util.EmbeddingFormat.EmbeddingSamplingJob -- \ + --entity_kind $ENTITY_KIND \ + --input.embedding_path $INPUT_PATH \ + --input.embedding_format $EMBEDDING_INPUT_FORMAT \ + --output.embedding_path $OUTPUT_PATH \ + --output.embedding_format tab \ + --sample_percent $SAMPLE_PERCENT +``` + +It will sample 0.1% of embeddings and store them in `tab` format to hdfs that can be direcly used as `query_set` for loadtest. + +# Knn Truth Set Generator + +To use load test framework to benchmark recall, you need to split your data set into index_set, query_set and knn_truth + +- index_set: data that will be indexed for ann +- query_set: data that will be used for queries +- truth_set: the real nearest neighbor used as truth to compute recall + +And also you need to figure out the dimension for your embedding vectors. + +KnnTruthSetGenerator can help to prepare data sets: + +```bash +$ ./bazel bundle ann/src/main/scala/com/twitter/ann/scalding/offline:ann-offline-deploy + +$ export QUERY_EMBEDDINGS_PATH=/user/cortex-mlx/official_examples/ann/non_pii_random_user_embeddings_tab_format +$ export INDEX_EMBEDDINGS_PATH=/user/cortex-mlx/official_examples/ann/non_pii_random_user_embeddings_tab_format +$ export TRUTH_SET_PATH=/user/$USER/truth_set +$ export INDEX_SET_PATH=/user/$USER/index_set +$ export QUERY_SET_PATH=/user/$USER/query_set +$ export METRIC=InnerProduct +$ export QUERY_ENTITY_KIND=user +$ export INDEX_ENTITY_KIND=user +$ export NEIGHBOURS=10 + +$ oscar hdfs \ + --screen --tee log.txt \ + --hadoop-client-memory 6000 \ + --hadoop-properties "yarn.app.mapreduce.am.resource.mb=6000;yarn.app.mapreduce.am.command-opts='-Xmx7500m';mapreduce.map.memory.mb=7500;mapreduce.reduce.java.opts='-Xmx6000m';mapreduce.reduce.memory.mb=7500;mapred.task.timeout=36000000;" \ + --bundle ann-offline-deploy \ + --min-split-size 284217728 \ + --host hadoopnest1.smf1.twitter.com \ + --tool com.twitter.ann.scalding.offline.KnnTruthSetGenerator -- \ + --neighbors $NEIGHBOURS \ + --metric $METRIC \ + --query_entity_kind $QUERY_ENTITY_KIND \ + --query.embedding_path $QUERY_EMBEDDINGS_PATH \ + --query.embedding_format tab \ + --query_sample_percent 50.0 \ + --index_entity_kind $INDEX_ENTITY_KIND \ + --index.embedding_path $INDEX_EMBEDDINGS_PATH \ + --index.embedding_format tab \ + --index_sample_percent 90.0 \ + --query_set_output.embedding_path $QUERY_SET_PATH \ + --query_set_output.embedding_format tab \ + --index_set_output.embedding_path $INDEX_SET_PATH \ + --index_set_output.embedding_format tab \ + --truth_set_output_path $TRUTH_SET_PATH \ + --reducers 100 +``` + +It will sample 90% of index set embeddings and 50% of query embeddings from total and then it will generate 3 datasets from the same that are index set, query set and true nearest neighbours from query to index in the tab format. +`Note`: The reason for using high sample percent is due to the fact the sample embeddings dataset is small. For real use cases query set should be really small. +Set `--reducers` according to the embeddings dataset size. + +# FAQ + +There are multiple type of `query_id_type` and `index_id_type` that can be used. Some native types like string/int/long or related to entity embeddings +like tweet/word/user/url... for more info: [Link](https://cgit.twitter.biz/source/tree/src/scala/com/twitter/cortex/ml/embeddings/common/EntityKind.scala#n8) diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/BUILD b/ann/src/main/scala/com/twitter/ann/service/query_server/common/BUILD new file mode 100644 index 000000000..026be5699 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/BUILD @@ -0,0 +1,63 @@ +scala_library( + name = "common", + sources = [ + "BaseQueryIndexServer.scala", + "Exceptions.scala", + "QueryIndexThriftController.scala", + "QueryableProvider.scala", + "RefreshableQueryable.scala", + "UnsafeQueryIndexServer.scala", + ], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + ":index_path_provider", + "3rdparty/jvm/com/google/guava", + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/jvm/net/codingwell:scala-guice", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "finagle/finagle-core/src/main", + "finagle/finagle-zipkin-scribe", + "finatra-internal/decider", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "mediaservices/commons", + "scrooge/scrooge-core/src/main/scala", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "util/util-app/src/main/scala", + "util/util-logging/src/main/scala", + ], +) + +scala_library( + name = "index_path_provider", + sources = [ + "IndexPathProvider.scala", + "QueryServerUtil.scala", + ], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/scala/com/twitter/ann/hnsw", + "src/java/com/twitter/search/common/file", + "util/util-logging/src/main/scala", + "util/util-stats/src/main/scala/com/twitter/finagle/stats", + ], +) + +scala_library( + name = "faiss_index_path_provider", + sources = ["FaissIndexPathProvider.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + ":index_path_provider", + "ann/src/main/scala/com/twitter/ann/faiss", + "src/java/com/twitter/search/common/file", + "util/util-logging/src/main/scala", + "util/util-stats/src/main/scala/com/twitter/finagle/stats", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/BaseQueryIndexServer.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/BaseQueryIndexServer.scala new file mode 100644 index 000000000..bac537d27 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/BaseQueryIndexServer.scala @@ -0,0 +1,53 @@ +package com.twitter.ann.service.query_server.common + +import com.google.inject.Module +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.app.Flag +import com.twitter.finatra.decider.modules.DeciderModule +import com.twitter.finatra.thrift.ThriftServer +import com.twitter.finatra.mtls.thriftmux.Mtls +import com.twitter.finatra.mtls.thriftmux.modules.MtlsThriftWebFormsModule +import com.twitter.finatra.thrift.filters.{ + AccessLoggingFilter, + LoggingMDCFilter, + StatsFilter, + ThriftMDCFilter, + TraceIdMDCFilter +} +import com.twitter.finatra.thrift.routing.ThriftRouter + +/** + * This class provides most of the configuration needed for logging, stats, deciders etc. + */ +abstract class BaseQueryIndexServer extends ThriftServer with Mtls { + + protected val environment: Flag[String] = flag[String]("environment", "service environment") + + /** + * Override with method to provide more module to guice. + */ + protected def additionalModules: Seq[Module] + + /** + * Override this method to add the controller to the thrift router. BaseQueryIndexServer takes + * care of most of the other configuration for you. + * @param router + */ + protected def addController(router: ThriftRouter): Unit + + override protected final lazy val modules: Seq[Module] = Seq( + DeciderModule, + new MtlsThriftWebFormsModule[AnnQueryService.MethodPerEndpoint](this) + ) ++ additionalModules + + override protected final def configureThrift(router: ThriftRouter): Unit = { + router + .filter[LoggingMDCFilter] + .filter[TraceIdMDCFilter] + .filter[ThriftMDCFilter] + .filter[AccessLoggingFilter] + .filter[StatsFilter] + + addController(router) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/Exceptions.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/Exceptions.scala new file mode 100644 index 000000000..60c585e33 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/Exceptions.scala @@ -0,0 +1,15 @@ +package com.twitter.ann.service.query_server.common + +import com.twitter.ann.common.thriftscala.BadRequest +import com.twitter.mediaservices.commons._ + +object RuntimeExceptionTransform extends ExceptionTransformer { + override def transform = { + case e: BadRequest => + MisuseExceptionInfo(e) + } + + override def getStatName: PartialFunction[Exception, String] = { + case e: BadRequest => exceptionName(e, e.code.name) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/FaissIndexPathProvider.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/FaissIndexPathProvider.scala new file mode 100644 index 000000000..0286023c7 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/FaissIndexPathProvider.scala @@ -0,0 +1,20 @@ +package com.twitter.ann.service.query_server.common + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.logging.Logger +import com.twitter.search.common.file.AbstractFile + +case class FaissIndexPathProvider( + override val minIndexSizeBytes: Long, + override val maxIndexSizeBytes: Long, + override val statsReceiver: StatsReceiver) + extends BaseIndexPathProvider { + + override val log = Logger.get("FAISSIndexPathProvider") + + override def isValidIndex(dir: AbstractFile): Boolean = { + dir.isDirectory && + dir.hasSuccessFile && + dir.getChild("faiss.index").exists() + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/IndexPathProvider.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/IndexPathProvider.scala new file mode 100644 index 000000000..b6193b90a --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/IndexPathProvider.scala @@ -0,0 +1,179 @@ +package com.twitter.ann.service.query_server.common + +import com.twitter.ann.common.IndexOutputFile +import com.twitter.ann.hnsw.HnswCommon._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.logging.Logger +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.AbstractFile.Filter +import com.twitter.search.common.file.PathUtils +import com.twitter.util.Try +import java.io.IOException +import java.util.concurrent.atomic.AtomicReference +import scala.collection.JavaConverters._ +import scala.math.Ordering.comparatorToOrdering + +abstract class IndexPathProvider { + def provideIndexPath(rootPath: AbstractFile, group: Boolean = false): Try[AbstractFile] + def provideIndexPathWithGroups(rootPath: AbstractFile): Try[Seq[AbstractFile]] +} + +abstract class BaseIndexPathProvider extends IndexPathProvider { + protected val minIndexSizeBytes: Long + protected val maxIndexSizeBytes: Long + protected val statsReceiver: StatsReceiver + protected val log: Logger + private val invalidPathCounter = statsReceiver.counter("invalid_index") + private val failToLocateDirectoryCounter = statsReceiver.counter("find_latest_path_fail") + private val successProvidePathCounter = statsReceiver.counter("provide_path_success") + + private val latestGroupCount = new AtomicReference(0f) + private val latestIndexTimestamp = new AtomicReference(0f) + private val latestValidIndexTimestamp = new AtomicReference(0f) + + private val INDEX_METADATA_FILE = "ANN_INDEX_METADATA" + + private val latestIndexGauge = statsReceiver.addGauge("latest_index_timestamp")( + latestIndexTimestamp.get() + ) + private val latestValidIndexGauge = statsReceiver.addGauge("latest_valid_index_timestamp")( + latestValidIndexTimestamp.get() + ) + private val latestGroupCountGauge = statsReceiver.addGauge("latest_group_count")( + latestGroupCount.get() + ) + + private val latestTimeStampDirectoryFilter = new AbstractFile.Filter { + + /** Determines which files should be accepted when listing a directory. */ + override def accept(file: AbstractFile): Boolean = { + val name = file.getName + PathUtils.TIMESTAMP_PATTERN.matcher(name).matches() + } + } + + private def findLatestTimeStampValidSuccessDirectory( + path: AbstractFile, + group: Boolean + ): AbstractFile = { + log.info(s"Calling findLatestTimeStampValidSuccessDirectory with ${path.getPath}") + // Get all the timestamp directories + val dateDirs = path.listFiles(latestTimeStampDirectoryFilter).asScala.toSeq + + if (dateDirs.nonEmpty) { + // Validate the indexes + val latestValidPath = { + if (group) { + // For grouped, check all the individual group indexes and stop as soon as a valid index + // is found. + dateDirs + .sorted(comparatorToOrdering(PathUtils.NEWEST_FIRST_COMPARATOR)).find(file => { + val indexMetadataFile = file.getChild(INDEX_METADATA_FILE) + val indexes = file.listFiles().asScala.filter(_.isDirectory) + val isValid = if (indexMetadataFile.exists()) { + // Metadata file exists. Check the number of groups and verify the index is + // complete + val indexMetadata = new IndexOutputFile(indexMetadataFile).loadIndexMetadata() + if (indexMetadata.numGroups.get != indexes.size) { + log.info( + s"Grouped index ${file.getPath} should have ${indexMetadata.numGroups.get} groups but had ${indexes.size}") + } + indexMetadata.numGroups.get == indexes.size + } else { + // True if the file doesn't exist. This is to make this change backwards + // compatible for clients using the old version of the dataflow job + true + } + + isValid && indexes.forall(index => { + index.hasSuccessFile && isValidIndex(index) && QueryServerUtil + .isValidIndexDirSize(index, minIndexSizeBytes, maxIndexSizeBytes) + }) + }) + } else { + // For non-grouped, find the first valid index. + dateDirs + .sorted(comparatorToOrdering(PathUtils.NEWEST_FIRST_COMPARATOR)).find(file => { + file.hasSuccessFile && QueryServerUtil + .isValidIndexDirSize(file, minIndexSizeBytes, maxIndexSizeBytes) + }) + } + } + + if (latestValidPath.nonEmpty) { + // Log the results + successProvidePathCounter.incr() + if (group) { + latestGroupCount.set(latestValidPath.get.listFiles().asScala.count(_.isDirectory)) + log.info( + s"findLatestTimeStampValidSuccessDirectory latestValidPath ${latestValidPath.get.getPath} and number of groups $latestGroupCount") + } else { + val latestValidPathSize = + latestValidPath.get.listFiles(true).asScala.map(_.getSizeInBytes).sum + log.info( + s"findLatestTimeStampValidSuccessDirectory latestValidPath ${latestValidPath.get.getPath} and size $latestValidPathSize") + } + return latestValidPath.get + } + } + + // Fail if no index or no valid index. + failToLocateDirectoryCounter.incr() + throw new IOException(s"Cannot find any valid directory with SUCCESS file at ${path.getName}") + } + + def isValidIndex(index: AbstractFile): Boolean + + override def provideIndexPath( + rootPath: AbstractFile, + group: Boolean = false + ): Try[AbstractFile] = { + Try { + val latestValidPath = findLatestTimeStampValidSuccessDirectory(rootPath, group) + if (!group) { + val latestPath = PathUtils.findLatestTimeStampSuccessDirectory(rootPath) + // since latestValidPath does not throw exception, latestPath must exist + assert(latestPath.isPresent) + val latestPathSize = latestPath.get.listFiles(true).asScala.map(_.getSizeInBytes).sum + log.info(s"provideIndexPath latestPath ${latestPath + .get() + .getPath} and size $latestPathSize") + latestIndexTimestamp.set(latestPath.get().getName.toFloat) + // latest directory is not valid, update counter for alerts + if (latestPath.get() != latestValidPath) { + invalidPathCounter.incr() + } + } else { + latestIndexTimestamp.set(latestValidPath.getName.toFloat) + } + latestValidIndexTimestamp.set(latestValidPath.getName.toFloat) + latestValidPath + } + } + + override def provideIndexPathWithGroups( + rootPath: AbstractFile + ): Try[Seq[AbstractFile]] = { + val latestValidPath = provideIndexPath(rootPath, true) + latestValidPath.map { path => + path + .listFiles(new Filter { + override def accept(file: AbstractFile): Boolean = + file.isDirectory && file.hasSuccessFile + }).asScala.toSeq + } + } +} + +case class ValidatedIndexPathProvider( + override val minIndexSizeBytes: Long, + override val maxIndexSizeBytes: Long, + override val statsReceiver: StatsReceiver) + extends BaseIndexPathProvider { + + override val log = Logger.get("ValidatedIndexPathProvider") + + override def isValidIndex(dir: AbstractFile): Boolean = { + isValidHnswIndex(dir) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryIndexThriftController.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryIndexThriftController.scala new file mode 100644 index 000000000..4a1050019 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryIndexThriftController.scala @@ -0,0 +1,92 @@ +package com.twitter.ann.service.query_server.common + +import com.twitter.ann.common._ +import com.twitter.ann.common.EmbeddingType._ +import com.twitter.ann.common.thriftscala.AnnQueryService.Query +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.ann.common.thriftscala.NearestNeighbor +import com.twitter.ann.common.thriftscala.NearestNeighborResult +import com.twitter.ann.common.thriftscala.{Distance => ServiceDistance} +import com.twitter.ann.common.thriftscala.{RuntimeParams => ServiceRuntimeParams} +import com.twitter.bijection.Injection +import com.twitter.finagle.Service +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.thrift.Controller +import com.twitter.mediaservices.commons.{ThriftServer => TServer} +import java.nio.ByteBuffer +import javax.inject.Inject + +class QueryIndexThriftController[T, P <: RuntimeParams, D <: Distance[D]] @Inject() ( + statsReceiver: StatsReceiver, + queryable: Queryable[T, P, D], + runtimeParamInjection: Injection[P, ServiceRuntimeParams], + distanceInjection: Injection[D, ServiceDistance], + idInjection: Injection[T, Array[Byte]]) + extends Controller(AnnQueryService) { + + private[this] val thriftServer = new TServer(statsReceiver, Some(RuntimeExceptionTransform)) + + val trackingStatName = "ann_query" + + private[this] val stats = statsReceiver.scope(trackingStatName) + private[this] val numOfNeighboursRequested = stats.stat("num_of_neighbours_requested") + private[this] val numOfNeighboursResponse = stats.stat("num_of_neighbours_response") + private[this] val queryKeyNotFound = stats.stat("query_key_not_found") + + /** + * Implements AnnQueryService.query, returns nearest neighbours for a given query + */ + val query: Service[Query.Args, Query.SuccessType] = { args: Query.Args => + thriftServer.track(trackingStatName) { + val query = args.query + val key = query.key + val embedding = embeddingSerDe.fromThrift(query.embedding) + val numOfNeighbours = query.numberOfNeighbors + val withDistance = query.withDistance + val runtimeParams = runtimeParamInjection.invert(query.runtimeParams).get + numOfNeighboursRequested.add(numOfNeighbours) + + val result = if (withDistance) { + val nearestNeighbors = if (queryable.isInstanceOf[QueryableGrouped[T, P, D]]) { + queryable + .asInstanceOf[QueryableGrouped[T, P, D]] + .queryWithDistance(embedding, numOfNeighbours, runtimeParams, key) + } else { + queryable + .queryWithDistance(embedding, numOfNeighbours, runtimeParams) + } + + nearestNeighbors.map { list => + list.map { nn => + NearestNeighbor( + ByteBuffer.wrap(idInjection.apply(nn.neighbor)), + Some(distanceInjection.apply(nn.distance)) + ) + } + } + } else { + + val nearestNeighbors = if (queryable.isInstanceOf[QueryableGrouped[T, P, D]]) { + queryable + .asInstanceOf[QueryableGrouped[T, P, D]] + .query(embedding, numOfNeighbours, runtimeParams, key) + } else { + queryable + .query(embedding, numOfNeighbours, runtimeParams) + } + + nearestNeighbors + .map { list => + list.map { nn => + NearestNeighbor(ByteBuffer.wrap(idInjection.apply(nn))) + } + } + } + + result.map(NearestNeighborResult(_)).onSuccess { r => + numOfNeighboursResponse.add(r.nearestNeighbors.size) + } + } + } + handle(Query) { query } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryServerUtil.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryServerUtil.scala new file mode 100644 index 000000000..5aef64a54 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryServerUtil.scala @@ -0,0 +1,34 @@ +package com.twitter.ann.service.query_server.common + +import com.twitter.logging.Logger +import com.twitter.search.common.file.AbstractFile +import scala.collection.JavaConverters._ + +object QueryServerUtil { + + private val log = Logger.get("QueryServerUtil") + + /** + * Validate if the abstract file (directory) size is within the defined limits. + * @param dir Hdfs/Local directory + * @param minIndexSizeBytes minimum size of file in bytes (Exclusive) + * @param maxIndexSizeBytes minimum size of file in bytes (Exclusive) + * @return true if file size within minIndexSizeBytes and maxIndexSizeBytes else false + */ + def isValidIndexDirSize( + dir: AbstractFile, + minIndexSizeBytes: Long, + maxIndexSizeBytes: Long + ): Boolean = { + val recursive = true + val dirSize = dir.listFiles(recursive).asScala.map(_.getSizeInBytes).sum + + log.debug(s"Ann index directory ${dir.getPath} size in bytes $dirSize") + + val isValid = (dirSize > minIndexSizeBytes) && (dirSize < maxIndexSizeBytes) + if (!isValid) { + log.info(s"Ann index directory is invalid ${dir.getPath} size in bytes $dirSize") + } + isValid + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryableProvider.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryableProvider.scala new file mode 100644 index 000000000..0c579c591 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/QueryableProvider.scala @@ -0,0 +1,8 @@ +package com.twitter.ann.service.query_server.common + +import com.twitter.ann.common.{Distance, Queryable, RuntimeParams} +import com.twitter.search.common.file.AbstractFile + +trait QueryableProvider[T, P <: RuntimeParams, D <: Distance[D]] { + def provideQueryable(indexDir: AbstractFile): Queryable[T, P, D] +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/RefreshableQueryable.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/RefreshableQueryable.scala new file mode 100644 index 000000000..1ce301c5e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/RefreshableQueryable.scala @@ -0,0 +1,212 @@ +package com.twitter.ann.service.query_server.common + +import com.google.common.annotations.VisibleForTesting +import com.google.common.util.concurrent.ThreadFactoryBuilder +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ann.common.Distance +import com.twitter.ann.common.NeighborWithDistance +import com.twitter.ann.common.Queryable +import com.twitter.ann.common.QueryableGrouped +import com.twitter.ann.common.RuntimeParams +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.logging.Logger +import com.twitter.search.common.file.AbstractFile +import com.twitter.util.Duration +import com.twitter.util.Future +import java.util.concurrent.atomic.AtomicReference +import java.util.concurrent.Executors +import java.util.concurrent.TimeUnit +import scala.util.Random +import scala.util.control.NonFatal + +class RefreshableQueryable[T, P <: RuntimeParams, D <: Distance[D]]( + grouped: Boolean, + rootDir: AbstractFile, + queryableProvider: QueryableProvider[T, P, D], + indexPathProvider: IndexPathProvider, + statsReceiver: StatsReceiver, + updateInterval: Duration = 10.minutes) + extends QueryableGrouped[T, P, D] { + + private val log = Logger.get("RefreshableQueryable") + + private val loadCounter = statsReceiver.counter("load") + private val loadFailCounter = statsReceiver.counter("load_error") + private val newIndexCounter = statsReceiver.counter("new_index") + protected val random = new Random(System.currentTimeMillis()) + + private val threadFactory = new ThreadFactoryBuilder() + .setNameFormat("refreshable-queryable-update-%d") + .build() + // single thread to check and load index + private val executor = Executors.newScheduledThreadPool(1, threadFactory) + + private[common] val indexPathRef: AtomicReference[AbstractFile] = + new AtomicReference(indexPathProvider.provideIndexPath(rootDir, grouped).get()) + private[common] val queryableRef: AtomicReference[Map[Option[String], Queryable[T, P, D]]] = { + if (grouped) { + val mapping = getGroupMapping + + new AtomicReference(mapping) + } else { + new AtomicReference(Map(None -> buildIndex(indexPathRef.get()))) + } + } + + private val servingIndexGauge = statsReceiver.addGauge("serving_index_timestamp") { + indexPathRef.get().getName.toFloat + } + + log.info("System.gc() before start") + System.gc() + + private val reloadTask = new Runnable { + override def run(): Unit = { + innerLoad() + } + } + + def start(): Unit = { + executor.scheduleWithFixedDelay( + reloadTask, + // init reloading with random delay + computeRandomInitDelay().inSeconds, + updateInterval.inSeconds, + TimeUnit.SECONDS + ) + } + + private def buildIndex(indexPath: AbstractFile): Queryable[T, P, D] = { + log.info(s"build index from ${indexPath.getPath}") + queryableProvider.provideQueryable(indexPath) + } + + @VisibleForTesting + private[common] def innerLoad(): Unit = { + log.info("Check and load for new index") + loadCounter.incr() + try { + // Find the latest directory + val latestPath = indexPathProvider.provideIndexPath(rootDir, grouped).get() + if (indexPathRef.get() != latestPath) { + log.info(s"loading index from: ${latestPath.getName}") + newIndexCounter.incr() + if (grouped) { + val mapping = getGroupMapping + queryableRef.set(mapping) + } else { + val queryable = buildIndex(latestPath) + queryableRef.set(Map(None -> queryable)) + } + indexPathRef.set(latestPath) + } else { + log.info(s"Current index already up to date: ${indexPathRef.get.getName}") + } + } catch { + case NonFatal(err) => + loadFailCounter.incr() + log.error(s"Failed to load index: $err") + } + log.info(s"Current index loaded from ${indexPathRef.get().getPath}") + } + + @VisibleForTesting + private[common] def computeRandomInitDelay(): Duration = { + val bound = 5.minutes + val nextUpdateSec = updateInterval + Duration.fromSeconds( + random.nextInt(bound.inSeconds) + ) + nextUpdateSec + } + + /** + * ANN query for ids with key as group id + * @param embedding: Embedding/Vector to be queried with. + * @param numOfNeighbors: Number of neighbours to be queried for. + * @param runtimeParams: Runtime params associated with index to control accuracy/latency etc. + * @param key: Optional key to lookup specific ANN index and perform query there + * @return List of approximate nearest neighbour ids. + */ + override def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P, + key: Option[String] + ): Future[List[T]] = { + val mapping = queryableRef.get() + + if (!mapping.contains(key)) { + Future.value(List()) + } else { + mapping.get(key).get.query(embedding, numOfNeighbors, runtimeParams) + } + } + + /** + * ANN query for ids with key as group id with distance + * @param embedding: Embedding/Vector to be queried with. + * @param numOfNeighbors: Number of neighbours to be queried for. + * @param runtimeParams: Runtime params associated with index to control accuracy/latency etc. + * @param key: Optional key to lookup specific ANN index and perform query there + * @return List of approximate nearest neighbour ids with distance from the query embedding. + */ + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P, + key: Option[String] + ): Future[List[NeighborWithDistance[T, D]]] = { + val mapping = queryableRef.get() + + if (!mapping.contains(key)) { + Future.value(List()) + } else { + mapping.get(key).get.queryWithDistance(embedding, numOfNeighbors, runtimeParams) + } + } + + private def getGroupMapping(): Map[Option[String], Queryable[T, P, D]] = { + val groupDirs = indexPathProvider.provideIndexPathWithGroups(rootDir).get() + val mapping = groupDirs.map { groupDir => + val queryable = buildIndex(groupDir) + Option(groupDir.getName) -> queryable + }.toMap + + mapping + } + + /** + * ANN query for ids. + * + * @param embedding : Embedding/Vector to be queried with. + * @param numOfNeighbors : Number of neighbours to be queried for. + * @param runtimeParams : Runtime params associated with index to control accuracy/latency etc. + * + * @return List of approximate nearest neighbour ids. + */ + override def query( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[T]] = { + query(embedding, numOfNeighbors, runtimeParams, None) + } + + /** + * ANN query for ids with distance. + * + * @param embedding : Embedding/Vector to be queried with. + * @param numOfNeighbors : Number of neighbours to be queried for. + * @param runtimeParams : Runtime params associated with index to control accuracy/latency etc. + * + * @return List of approximate nearest neighbour ids with distance from the query embedding. + */ + override def queryWithDistance( + embedding: EmbeddingVector, + numOfNeighbors: Int, + runtimeParams: P + ): Future[List[NeighborWithDistance[T, D]]] = { + queryWithDistance(embedding, numOfNeighbors, runtimeParams, None) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/UnsafeQueryIndexServer.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/UnsafeQueryIndexServer.scala new file mode 100644 index 000000000..a50dd53e6 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/UnsafeQueryIndexServer.scala @@ -0,0 +1,109 @@ +package com.twitter.ann.service.query_server.common + +import com.google.common.util.concurrent.MoreExecutors +import com.google.inject.Module +import com.twitter.ann.common._ +import com.twitter.ann.common.thriftscala.{Distance => ServiceDistance} +import com.twitter.ann.common.thriftscala.{RuntimeParams => ServiceRuntimeParams} +import com.twitter.app.Flag +import com.twitter.bijection.Injection +import com.twitter.cortex.ml.embeddings.common.EntityKind +import com.twitter.finatra.thrift.routing.ThriftRouter +import java.util.concurrent.ExecutorService +import java.util.concurrent.Executors +import java.util.concurrent.ThreadPoolExecutor +import java.util.concurrent.TimeUnit + +/** + * This class is used when you do not know the generic parameters of the Server at compile time. + * If you want compile time checks that your parameters are correct use QueryIndexServer instead. + * In particular, when you want to have these id, distance and the runtime params as cli options you + * should extend this class. + */ +abstract class UnsafeQueryIndexServer[R <: RuntimeParams] extends BaseQueryIndexServer { + private[this] val metricName = flag[String]("metric", "metric") + private[this] val idType = flag[String]("id_type", "type of ids to use") + private[query_server] val queryThreads = + flag[Int]( + "threads", + System + .getProperty("mesos.resources.cpu", s"${Runtime.getRuntime.availableProcessors()}").toInt, + "Size of thread pool for concurrent querying" + ) + private[query_server] val dimension = flag[Int]("dimension", "dimension") + private[query_server] val indexDirectory = flag[String]("index_directory", "index directory") + private[query_server] val refreshable = + flag[Boolean]("refreshable", false, "if index is refreshable or not") + private[query_server] val refreshableInterval = + flag[Int]("refreshable_interval_minutes", 10, "refreshable index update interval") + private[query_server] val sharded = + flag[Boolean]("sharded", false, "if index is sharded") + private[query_server] val shardedHours = + flag[Int]("sharded_hours", "how many shards load at once") + private[query_server] val shardedWatchLookbackIndexes = + flag[Int]("sharded_watch_lookback_indexes", "how many indexes backwards to watch") + private[query_server] val shardedWatchIntervalMinutes = + flag[Int]("sharded_watch_interval_minutes", "interval at which hdfs is watched for changes") + private[query_server] val minIndexSizeBytes = + flag[Long]("min_index_size_byte", 0, "min index size in bytes") + private[query_server] val maxIndexSizeBytes = + flag[Long]("max_index_size_byte", Long.MaxValue, "max index size in bytes") + private[query_server] val grouped = + flag[Boolean]("grouped", false, "if indexes are grouped") + private[query_server] val qualityFactorEnabled = + flag[Boolean]( + "quality_factor_enabled", + false, + "Enable dynamically reducing search complexity when cgroups container is throttled. Useful to disable when load testing" + ) + private[query_server] val warmup_enabled: Flag[Boolean] = + flag("warmup", false, "Enable warmup before the query server starts up") + + // Time to wait for the executor to finish before terminating the JVM + private[this] val terminationTimeoutMs = 100 + protected lazy val executor: ExecutorService = MoreExecutors.getExitingExecutorService( + Executors.newFixedThreadPool(queryThreads()).asInstanceOf[ThreadPoolExecutor], + terminationTimeoutMs, + TimeUnit.MILLISECONDS + ) + + protected lazy val unsafeMetric: Metric[_] with Injection[_, ServiceDistance] = { + Metric.fromString(metricName()) + } + + override protected val additionalModules: Seq[Module] = Seq() + + override final def addController(router: ThriftRouter): Unit = { + router.add(queryIndexThriftController) + } + + protected def unsafeQueryableMap[T, D <: Distance[D]]: Queryable[T, R, D] + protected val runtimeInjection: Injection[R, ServiceRuntimeParams] + + private[this] def queryIndexThriftController[ + T, + D <: Distance[D] + ]: QueryIndexThriftController[T, R, D] = { + val controller = new QueryIndexThriftController[T, R, D]( + statsReceiver.scope("ann_server"), + unsafeQueryableMap.asInstanceOf[Queryable[T, R, D]], + runtimeInjection, + unsafeMetric.asInstanceOf[Injection[D, ServiceDistance]], + idInjection[T]() + ) + + logger.info("QueryIndexThriftController created....") + controller + } + + protected final def idInjection[T](): Injection[T, Array[Byte]] = { + val idInjection = idType() match { + case "string" => AnnInjections.StringInjection + case "long" => AnnInjections.LongInjection + case "int" => AnnInjections.IntInjection + case entityKind => EntityKind.getEntityKind(entityKind).byteInjection + } + + idInjection.asInstanceOf[Injection[T, Array[Byte]]] + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/AuroraCPUStatsReader.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/AuroraCPUStatsReader.scala new file mode 100644 index 000000000..5b461ca1d --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/AuroraCPUStatsReader.scala @@ -0,0 +1,28 @@ +package com.twitter.ann.service.query_server.common.throttling + +import com.twitter.server.filter.CgroupsCpu + +class AuroraCPUStatsReader() { + + val cgroupsCpu = new CgroupsCpu() + + def throttledTimeNanos(): Option[Long] = cgroupsCpu.cpuStat.map { cs => + cs.throttledTimeNanos + } + + /** + * Read assigned cpu number from Mesos files + * + * @return positive number is the number of CPUs (can be fractional). + * -1 means file read failed or it's not a valid Mesos environment. + */ + def cpuQuota: Double = cgroupsCpu.cfsPeriodMicros match { + case -1L => -1.0 + case 0L => 0.0 // avoid divide by 0 + case periodMicros => + cgroupsCpu.cfsQuotaMicros match { + case -1L => -1.0 + case quotaMicros => quotaMicros.toDouble / periodMicros.toDouble + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/BUILD b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/BUILD new file mode 100644 index 000000000..5d0776d7a --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/BUILD @@ -0,0 +1,12 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/faiss", + "ann/src/main/scala/com/twitter/ann/hnsw", + "twitter-server-internal/src/main/scala", + "util/util-stats/src/main/scala/com/twitter/finagle/stats", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/ThrottlingBasedQualityTask.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/ThrottlingBasedQualityTask.scala new file mode 100644 index 000000000..35d893f8d --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/ThrottlingBasedQualityTask.scala @@ -0,0 +1,73 @@ +package com.twitter.ann.service.query_server.common.throttling + +import com.twitter.ann.common.RuntimeParams +import com.twitter.ann.common.Task +import com.twitter.ann.faiss.FaissParams +import com.twitter.ann.hnsw.HnswParams +import com.twitter.ann.service.query_server.common.throttling.ThrottlingBasedQualityTask.SAMPLING_INTERVAL +import com.twitter.conversions.DurationOps.richDurationFromInt +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.logging.Logging + +object ThrottlingBasedQualityTask { + private[throttling] val SAMPLING_INTERVAL = 100.milliseconds +} + +class ThrottlingBasedQualityTask( + override val statsReceiver: StatsReceiver, + // Parameters are taken from OverloadAdmissionController + instrument: ThrottlingInstrument = new WindowedThrottlingInstrument(SAMPLING_INTERVAL, 5, + new AuroraCPUStatsReader())) + extends Task + with Logging { + import ThrottlingBasedQualityTask._ + + // [0, 1] where 1 is fully throttled + // Quickly throttle, but dampen recovery to make sure we won't enter throttle/GC death spiral + @volatile private var dampenedThrottlingPercentage: Double = 0 + + protected[throttling] def task(): Future[Unit] = { + if (!instrument.disabled) { + instrument.sample() + + val delta = instrument.percentageOfTimeSpentThrottling - dampenedThrottlingPercentage + if (delta > 0) { + // We want to start shedding load, do it quickly + dampenedThrottlingPercentage += delta + } else { + // Recover much slower + // At the rate of 100ms per sample, lookback is 2 minutes + val samplesToConverge = 1200.toDouble + dampenedThrottlingPercentage = + dampenedThrottlingPercentage + delta * (2 / (samplesToConverge + 1)) + } + + statsReceiver.stat("dampened_throttling").add(dampenedThrottlingPercentage.toFloat * 100) + } + + Future.Unit + } + + protected def taskInterval: Duration = SAMPLING_INTERVAL + + def discountParams[T <: RuntimeParams](params: T): T = { + // [0, 1] where 1 is best quality and lowest speed + // It's expected to run @1 majority of time + val qualityFactor = math.min(1, math.max(0, 1 - dampenedThrottlingPercentage)) + def applyQualityFactor(param: Int) = math.max(1, math.ceil(param * qualityFactor).toInt) + + params match { + case HnswParams(ef) => HnswParams(applyQualityFactor(ef)).asInstanceOf[T] + case FaissParams(nprobe, quantizerEf, quantizerKFactorRF, quantizerNprobe, ht) => + FaissParams( + nprobe.map(applyQualityFactor), + quantizerEf.map(applyQualityFactor), + quantizerKFactorRF.map(applyQualityFactor), + quantizerNprobe.map(applyQualityFactor), + ht.map(applyQualityFactor) + ).asInstanceOf[T] + } + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/WindowedStats.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/WindowedStats.scala new file mode 100644 index 000000000..71971574e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/WindowedStats.scala @@ -0,0 +1,22 @@ +package com.twitter.ann.service.query_server.common.throttling + +/** + * A simple ring buffer that keeps track of long values over `window`. + */ +private[throttling] class WindowedStats(window: Int) { + private[this] val buffer = new Array[Long](window) + private[this] var index = 0 + private[this] var sumValue = 0L + private[this] var count = 0 + + def add(v: Long): Unit = { + count = math.min(count + 1, window) + val old = buffer(index) + buffer(index) = v + index = (index + 1) % window + sumValue += v - old + } + + def avg: Double = { sumValue.toDouble / count } + def sum: Long = { sumValue } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/WindowedThrottlingInstrument.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/WindowedThrottlingInstrument.scala new file mode 100644 index 000000000..59ec936e9 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling/WindowedThrottlingInstrument.scala @@ -0,0 +1,50 @@ +package com.twitter.ann.service.query_server.common.throttling + +import com.twitter.util.Duration + +trait ThrottlingInstrument { + def sample(): Unit + def percentageOfTimeSpentThrottling(): Double + def disabled: Boolean +} + +class WindowedThrottlingInstrument( + stepFrequency: Duration, + windowLengthInFrequencySteps: Int, + reader: AuroraCPUStatsReader) + extends ThrottlingInstrument { + private[this] val throttlingChangeHistory: WindowedStats = new WindowedStats( + windowLengthInFrequencySteps) + + private[this] val cpuQuota: Double = reader.cpuQuota + + // The total number of allotted CPU time per step (in nanos). + private[this] val assignedCpu: Duration = stepFrequency * cpuQuota + private[this] val assignedCpuNs: Long = assignedCpu.inNanoseconds + + @volatile private[this] var previousThrottledTimeNs: Long = 0 + + /** + * If there isn't a limit on how much cpu the container can use, aurora + * throttling will never kick in. + */ + final def disabled: Boolean = cpuQuota <= 0 + + def sample(): Unit = sampleThrottling() match { + case Some(load) => + throttlingChangeHistory.add(load) + case None => () + } + + private[this] def sampleThrottling(): Option[Long] = reader.throttledTimeNanos().map { + throttledTimeNs => + val throttlingChange = throttledTimeNs - previousThrottledTimeNs + previousThrottledTimeNs = throttledTimeNs + throttlingChange + } + + // Time spent throttling over windowLength, normalized by number of CPUs + def percentageOfTimeSpentThrottling(): Double = { + math.min(1, throttlingChangeHistory.sum.toDouble / assignedCpuNs) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/warmup/BUILD b/ann/src/main/scala/com/twitter/ann/service/query_server/common/warmup/BUILD new file mode 100644 index 000000000..84706056b --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/warmup/BUILD @@ -0,0 +1,10 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/scala/com/twitter/ann/common", + "util/util-core:scala", + "util/util-slf4j-api/src/main/scala/com/twitter/util/logging", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/common/warmup/Warmup.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/common/warmup/Warmup.scala new file mode 100644 index 000000000..349bc262e --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/common/warmup/Warmup.scala @@ -0,0 +1,50 @@ +package com.twitter.ann.service.query_server.common.warmup + +import com.twitter.ann.common.EmbeddingType.EmbeddingVector +import com.twitter.ml.api.embedding.Embedding +import com.twitter.util.Await +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Try +import com.twitter.util.logging.Logging +import scala.annotation.tailrec +import scala.util.Random + +trait Warmup extends Logging { + protected def minSuccessfulTries: Int + protected def maxTries: Int + protected def randomQueryDimension: Int + protected def timeout: Duration + + @tailrec + final protected def run( + iteration: Int = 0, + successes: Int = 0, + name: String, + f: => Future[_] + ): Unit = { + if (successes == minSuccessfulTries || iteration == maxTries) { + info(s"Warmup finished after ${iteration} iterations with ${successes} successes") + } else { + Try(Await.result(f.liftToTry, timeout)) match { + case Return(Return(_)) => + debug(s"[$name] Iteration $iteration Success") + run(iteration + 1, successes + 1, name, f) + case Return(Throw(e)) => + warn(s"[$name] Iteration $iteration has failed: ${e.getMessage}. ", e) + run(iteration + 1, successes, name, f) + case Throw(e) => + info(s"[$name] Iteration $iteration was too slow: ${e.getMessage}. ", e) + run(iteration + 1, successes, name, f) + } + } + } + + private val rng = new Random() + protected def randomQuery(): EmbeddingVector = + Embedding(Array.fill(randomQueryDimension)(-1 + 2 * rng.nextFloat())) + + def warmup(): Unit +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/faiss/BUILD b/ann/src/main/scala/com/twitter/ann/service/query_server/faiss/BUILD new file mode 100644 index 000000000..ffdb2eb9c --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/faiss/BUILD @@ -0,0 +1,33 @@ +scala_library( + name = "server", + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/java/com/twitter/ann/faiss", + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/faiss", + "ann/src/main/scala/com/twitter/ann/service/query_server/common", + "ann/src/main/scala/com/twitter/ann/service/query_server/common:faiss_index_path_provider", + "ann/src/main/scala/com/twitter/ann/service/query_server/common/throttling", + "ann/src/main/scala/com/twitter/ann/service/query_server/common/warmup", + "src/java/com/twitter/search/common/file", + ], +) + +jvm_binary( + name = "faiss-query-server", + main = "com.twitter.ann.service.query_server.faiss.FaissQueryIndexServer", + compiler_option_sets = ["fatal_warnings"], + runtime_platform = "java11", + tags = ["bazel-compatible"], + dependencies = [ + ":server", + "3rdparty/jvm/ch/qos/logback:logback-classic", + "3rdparty/jvm/org/slf4j:jcl-over-slf4j", + "3rdparty/jvm/org/slf4j:jul-to-slf4j", + "3rdparty/jvm/org/slf4j:log4j-over-slf4j", + "ann/src/main/resources", + "loglens/loglens-logback/src/main/scala/com/twitter/loglens/logback", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/faiss/FaissQueryIndexServer.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/faiss/FaissQueryIndexServer.scala new file mode 100644 index 000000000..3ca46f8e4 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/faiss/FaissQueryIndexServer.scala @@ -0,0 +1,149 @@ +package com.twitter.ann.service.query_server.faiss + +import com.twitter.ann.common.Distance +import com.twitter.ann.common.QueryableOperations.Map +import com.twitter.ann.common._ +import com.twitter.ann.common.thriftscala.{RuntimeParams => ServiceRuntimeParams} +import com.twitter.ann.faiss.FaissCommon +import com.twitter.ann.faiss.FaissIndex +import com.twitter.ann.faiss.FaissParams +import com.twitter.ann.faiss.HourlyShardedIndex +import com.twitter.ann.service.query_server.common.QueryableProvider +import com.twitter.ann.service.query_server.common.RefreshableQueryable +import com.twitter.ann.service.query_server.common.UnsafeQueryIndexServer +import com.twitter.ann.service.query_server.common.FaissIndexPathProvider +import com.twitter.ann.service.query_server.common.throttling.ThrottlingBasedQualityTask +import com.twitter.ann.service.query_server.common.warmup.Warmup +import com.twitter.bijection.Injection +import com.twitter.conversions.DurationOps.richDurationFromInt +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.FileUtils +import com.twitter.util.Duration +import java.util.concurrent.TimeUnit + +object FaissQueryIndexServer extends FaissQueryableServer + +class FaissQueryableServer extends UnsafeQueryIndexServer[FaissParams] { + // given a directory, how to load it as a queryable index + def queryableProvider[T, D <: Distance[D]]: QueryableProvider[T, FaissParams, D] = + new QueryableProvider[T, FaissParams, D] { + override def provideQueryable( + directory: AbstractFile + ): Queryable[T, FaissParams, D] = { + FaissIndex.loadIndex[T, D]( + dimension(), + unsafeMetric.asInstanceOf[Metric[D]], + directory + ) + } + } + + private def buildSimpleQueryable[T, D <: Distance[D]]( + dir: AbstractFile + ): Queryable[T, FaissParams, D] = { + val queryable = if (refreshable()) { + logger.info(s"build refreshable queryable") + val updatableQueryable = new RefreshableQueryable( + false, + dir, + queryableProvider.asInstanceOf[QueryableProvider[T, FaissParams, D]], + FaissIndexPathProvider( + minIndexSizeBytes(), + maxIndexSizeBytes(), + statsReceiver.scope("validated_index_provider") + ), + statsReceiver.scope("refreshable_queryable"), + updateInterval = refreshableInterval().minutes + ) + // init first load of index and also schedule the following reloads + updatableQueryable.start() + updatableQueryable.asInstanceOf[QueryableGrouped[T, FaissParams, D]] + } else { + logger.info(s"build non-refreshable queryable") + + logger.info(s"Loading ${dir}") + queryableProvider.provideQueryable(dir).asInstanceOf[Queryable[T, FaissParams, D]] + } + + logger.info("Faiss queryable created....") + queryable + } + + private def buildShardedQueryable[T, D <: Distance[D]]( + dir: AbstractFile + ): Queryable[T, FaissParams, D] = { + logger.info(s"build sharded queryable") + + val queryable = HourlyShardedIndex.loadIndex[T, D]( + dimension(), + unsafeMetric.asInstanceOf[Metric[D]], + dir, + shardedHours(), + Duration(shardedWatchIntervalMinutes(), TimeUnit.MINUTES), + shardedWatchLookbackIndexes(), + statsReceiver.scope("hourly_sharded_index") + ) + + logger.info("Faiss sharded queryable created....") + + closeOnExit(queryable) + queryable.startImmediately() + + logger.info("Directory watching is scheduled") + + queryable + } + + // Readings come incorrect if reader is created too early in the lifecycle of a server + // hence lazy + private lazy val throttleSamplingTask = new ThrottlingBasedQualityTask( + statsReceiver.scope("throttling_task")) + + override def unsafeQueryableMap[T, D <: Distance[D]]: Queryable[T, FaissParams, D] = { + val dir = FileUtils.getFileHandle(indexDirectory()) + + val queryable = if (sharded()) { + require(shardedHours() > 0, "Number of hourly shards must be specified") + require(shardedWatchIntervalMinutes() > 0, "Shard watch interval must be specified") + require(shardedWatchLookbackIndexes() > 0, "Index lookback must be specified") + buildShardedQueryable[T, D](dir) + } else { + buildSimpleQueryable[T, D](dir) + } + + if (qualityFactorEnabled()) { + logger.info("Quality Factor throttling is enabled") + closeOnExit(throttleSamplingTask) + throttleSamplingTask.jitteredStart() + + queryable.mapRuntimeParameters(throttleSamplingTask.discountParams) + } else { + queryable + } + } + + override val runtimeInjection: Injection[FaissParams, ServiceRuntimeParams] = + FaissCommon.RuntimeParamsInjection + + protected override def warmup(): Unit = + if (warmup_enabled()) + new FaissWarmup(unsafeQueryableMap, dimension()).warmup() +} + +class FaissWarmup(faiss: Queryable[_, FaissParams, _], dimension: Int) extends Warmup { + protected def minSuccessfulTries: Int = 100 + protected def maxTries: Int = 1000 + protected def timeout: Duration = 50.milliseconds + protected def randomQueryDimension: Int = dimension + + def warmup(): Unit = { + run( + name = "queryWithDistance", + f = faiss + .queryWithDistance( + randomQuery(), + 100, + FaissParams(nprobe = Some(128), None, None, None, None)) + ) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/hnsw/BUILD b/ann/src/main/scala/com/twitter/ann/service/query_server/hnsw/BUILD new file mode 100644 index 000000000..a67bf445d --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/hnsw/BUILD @@ -0,0 +1,32 @@ +scala_library( + name = "server", + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/scala/com/twitter/ann/common", + "ann/src/main/scala/com/twitter/ann/hnsw", + "ann/src/main/scala/com/twitter/ann/service/query_server/common", + "ann/src/main/scala/com/twitter/ann/service/query_server/common/warmup", + "src/java/com/twitter/search/common/file", + ], +) + +jvm_binary( + name = "hnsw-query-server", + main = "com.twitter.ann.service.query_server.hnsw.HnswQueryIndexServer", + compiler_option_sets = ["fatal_warnings"], + runtime_platform = "java11", + tags = [ + "bazel-compatible", + ], + dependencies = [ + ":server", + "3rdparty/jvm/ch/qos/logback:logback-classic", + "3rdparty/jvm/org/slf4j:jcl-over-slf4j", + "3rdparty/jvm/org/slf4j:jul-to-slf4j", + "3rdparty/jvm/org/slf4j:log4j-over-slf4j", + "ann/src/main/resources", + "loglens/loglens-logback/src/main/scala/com/twitter/loglens/logback", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/service/query_server/hnsw/HnswQueryIndexServer.scala b/ann/src/main/scala/com/twitter/ann/service/query_server/hnsw/HnswQueryIndexServer.scala new file mode 100644 index 000000000..3c0efde40 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/service/query_server/hnsw/HnswQueryIndexServer.scala @@ -0,0 +1,98 @@ +package com.twitter.ann.service.query_server.hnsw + +import com.twitter.ann.common.Distance +import com.twitter.ann.common._ +import com.twitter.ann.common.thriftscala.{RuntimeParams => ServiceRuntimeParams} +import com.twitter.ann.hnsw.HnswCommon +import com.twitter.ann.hnsw.HnswParams +import com.twitter.ann.hnsw.TypedHnswIndex +import com.twitter.ann.service.query_server.common.QueryableProvider +import com.twitter.ann.service.query_server.common.RefreshableQueryable +import com.twitter.ann.service.query_server.common.UnsafeQueryIndexServer +import com.twitter.ann.service.query_server.common.ValidatedIndexPathProvider +import com.twitter.ann.service.query_server.common.warmup.Warmup +import com.twitter.bijection.Injection +import com.twitter.conversions.DurationOps.richDurationFromInt +import com.twitter.search.common.file.AbstractFile +import com.twitter.search.common.file.FileUtils +import com.twitter.util.Duration +import com.twitter.util.FuturePool + +// Creating a separate hnsw query server object, since unit test require non singleton server. +object HnswQueryIndexServer extends HnswQueryableServer + +class HnswQueryableServer extends UnsafeQueryIndexServer[HnswParams] { + private val IndexGroupPrefix = "group_" + + // given a directory, how to load it as a queryable index + def queryableProvider[T, D <: Distance[D]]: QueryableProvider[T, HnswParams, D] = + new QueryableProvider[T, HnswParams, D] { + override def provideQueryable( + dir: AbstractFile + ): Queryable[T, HnswParams, D] = { + TypedHnswIndex.loadIndex[T, D]( + dimension(), + unsafeMetric.asInstanceOf[Metric[D]], + idInjection[T](), + ReadWriteFuturePool(FuturePool.interruptible(executor)), + dir + ) + } + } + + private def buildQueryable[T, D <: Distance[D]]( + dir: AbstractFile, + grouped: Boolean + ): Queryable[T, HnswParams, D] = { + val queryable = if (refreshable()) { + logger.info(s"build refreshable queryable") + val updatableQueryable = new RefreshableQueryable( + grouped, + dir, + queryableProvider.asInstanceOf[QueryableProvider[T, HnswParams, D]], + ValidatedIndexPathProvider( + minIndexSizeBytes(), + maxIndexSizeBytes(), + statsReceiver.scope("validated_index_provider") + ), + statsReceiver.scope("refreshable_queryable"), + updateInterval = refreshableInterval().minutes + ) + // init first load of index and also schedule the following reloads + updatableQueryable.start() + updatableQueryable.asInstanceOf[QueryableGrouped[T, HnswParams, D]] + } else { + logger.info(s"build non-refreshable queryable") + queryableProvider.provideQueryable(dir).asInstanceOf[Queryable[T, HnswParams, D]] + } + + logger.info("Hnsw queryable created....") + queryable + } + + override def unsafeQueryableMap[T, D <: Distance[D]]: Queryable[T, HnswParams, D] = { + val dir = FileUtils.getFileHandle(indexDirectory()) + buildQueryable(dir, grouped()) + } + + override val runtimeInjection: Injection[HnswParams, ServiceRuntimeParams] = + HnswCommon.RuntimeParamsInjection + + protected override def warmup(): Unit = + if (warmup_enabled()) new HNSWWarmup(unsafeQueryableMap, dimension()).warmup() +} + +class HNSWWarmup(hnsw: Queryable[_, HnswParams, _], dimension: Int) extends Warmup { + protected def minSuccessfulTries: Int = 100 + protected def maxTries: Int = 1000 + protected def timeout: Duration = 50.milliseconds + protected def randomQueryDimension: Int = dimension + + def warmup(): Unit = { + run( + name = "queryWithDistance", + f = hnsw + .queryWithDistance(randomQuery(), 100, HnswParams(ef = 800)) + ) + } +} diff --git a/ann/src/main/scala/com/twitter/ann/util/BUILD b/ann/src/main/scala/com/twitter/ann/util/BUILD new file mode 100644 index 000000000..6635d2333 --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/util/BUILD @@ -0,0 +1,9 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "ann/src/main/scala/com/twitter/ann/common", + "util/util-logging", + ], +) diff --git a/ann/src/main/scala/com/twitter/ann/util/IndexBuilderUtils.scala b/ann/src/main/scala/com/twitter/ann/util/IndexBuilderUtils.scala new file mode 100644 index 000000000..b0245f48a --- /dev/null +++ b/ann/src/main/scala/com/twitter/ann/util/IndexBuilderUtils.scala @@ -0,0 +1,31 @@ +package com.twitter.ann.util + +import com.twitter.ann.common.{Appendable, EntityEmbedding} +import com.twitter.concurrent.AsyncStream +import com.twitter.logging.Logger +import com.twitter.util.Future +import java.util.concurrent.atomic.AtomicInteger + +object IndexBuilderUtils { + val Log = Logger.apply() + + def addToIndex[T]( + appendable: Appendable[T, _, _], + embeddings: Seq[EntityEmbedding[T]], + concurrencyLevel: Int + ): Future[Int] = { + val count = new AtomicInteger() + // Async stream allows us to procss at most concurrentLevel futures at a time. + Future.Unit.before { + val stream = AsyncStream.fromSeq(embeddings) + val appendStream = stream.mapConcurrent(concurrencyLevel) { annEmbedding => + val processed = count.incrementAndGet() + if (processed % 10000 == 0) { + Log.info(s"Performed $processed updates") + } + appendable.append(annEmbedding) + } + appendStream.size + } + } +} diff --git a/ann/src/main/thrift/com/twitter/ann/common/BUILD b/ann/src/main/thrift/com/twitter/ann/common/BUILD new file mode 100644 index 000000000..5a0b1897c --- /dev/null +++ b/ann/src/main/thrift/com/twitter/ann/common/BUILD @@ -0,0 +1,18 @@ +create_thrift_libraries( + base_name = "ann-common", + sources = ["*.thrift"], + platform = "java8", + tags = ["bazel-compatible"], + dependency_roots = [ + "mediaservices/commons/src/main/thrift", + "src/thrift/com/twitter/ml/api:embedding", + ], + generate_languages = [ + "java", + "python", + "scala", + "strato", + ], + provides_java_name = "ann-common-thrift-java", + provides_scala_name = "ann-common-thrift-scala", +) diff --git a/ann/src/main/thrift/com/twitter/ann/common/ann_common.thrift b/ann/src/main/thrift/com/twitter/ann/common/ann_common.thrift new file mode 100644 index 000000000..b39629f18 --- /dev/null +++ b/ann/src/main/thrift/com/twitter/ann/common/ann_common.thrift @@ -0,0 +1,169 @@ +namespace java com.twitter.ann.common.thriftjava +#@namespace scala com.twitter.ann.common.thriftscala +#@namespace strato com.twitter.ann.common +namespace py gen.twitter.ann.common + +include "com/twitter/mediaservices/commons/ServerCommon.thrift" +include "com/twitter/ml/api/embedding.thrift" + +/** +* Thrift schema for storing file based Index mapping +*/ +struct FileBasedIndexIdStore { + 1: optional map indexIdMap +} + +enum DistanceMetric { + L2, Cosine, InnerProduct, + RESERVED_4, RESERVED_5, RESERVED_6, RESERVED_7, EditDistance +} (persisted = 'true', strato.graphql.typename='DistanceMetric') + +struct AnnoyIndexMetadata { + 1: i32 dimension + 2: DistanceMetric distanceMetric + 3: i32 numOfTrees + 4: i64 numOfVectorsIndexed +} (persisted = 'true', strato.graphql.typename='AnnoyIndexMetadata') + +struct AnnoyRuntimeParam { + /* Number of vectors to evaluate while searching. A larger value will give more accurate results, but will take longer time to return. + * Default value would be numberOfTrees*numberOfNeigboursRequested + */ + 1: optional i32 numOfNodesToExplore +} + +struct HnswRuntimeParam { + // More the value of ef better the recall with but at cost of latency. + // Set it greater than equal to number of neighbours required. + 1: i32 ef +} + +// These options are subset of all possible parameters, defined by +// https://github.com/facebookresearch/faiss/blob/36f2998a6469280cef3b0afcde2036935a29aa1f/faiss/AutoTune.cpp#L444 +// quantizer_ prefix changes IndexIVF.quantizer parameters instead +struct FaissRuntimeParam { + // How many cells to visit in IVFPQ. Higher is slower / more precise. + 1: optional i32 nprobe + // Depth of search in HNSW. Higher is slower / more precise. + 2: optional i32 quantizer_ef + // How many times more neighbours are requested from underlying index by IndexRefine. + 3: optional i32 quantizer_kfactor_rf + // Same as 1: but for quantizer + 4: optional i32 quantizer_nprobe + // Hamming distance threshold to filter neighbours when searching. + 5: optional i32 ht +} + +// Every ANN index will have this metadata and it'll be used by the query service for validation. +struct AnnIndexMetadata { + 1: optional i64 timestamp + 2: optional i32 index_size + 3: optional bool withGroups + 4: optional i32 numGroups +} (persisted = 'true') + +struct HnswIndexMetadata { + 1: i32 dimension + 2: DistanceMetric distanceMetric + 3: i32 numElements +} (persisted = 'true') + +struct HnswInternalIndexMetadata { + 1: i32 maxLevel + 2: optional binary entryPoint + 3: i32 efConstruction + 4: i32 maxM + 5: i32 numElements +} (persisted = 'true') + +struct HnswGraphEntry { + 1: i32 level + 2: binary key + 3: list neighbours +} (persisted = 'true', strato.graphql.typename='HnswGraphEntry') + +enum IndexType { + TWEET, + USER, + WORD, + LONG, + INT, + STRING, + RESERVED_7, RESERVED_8, RESERVED_9, RESERVED_10 +} (persisted = 'true', strato.graphql.typename='IndexType') + +struct CosineDistance { + 1: required double distance +} + +struct L2Distance { + 1: required double distance +} + +struct InnerProductDistance { + 1: required double distance +} + +struct EditDistance { + 1: required i32 distance +} + +union Distance { + 1: CosineDistance cosineDistance + 2: L2Distance l2Distance + 3: InnerProductDistance innerProductDistance + 4: EditDistance editDistance +} + +struct NearestNeighbor { + 1: required binary id + 2: optional Distance distance +} + +struct NearestNeighborResult { + // This list is ordered from nearest to furthest neighbor + 1: required list nearestNeighbors +} + +// Different runtime/tuning params while querying for indexes to control accuracy/latency etc.. +union RuntimeParams { + 1: AnnoyRuntimeParam annoyParam + 2: HnswRuntimeParam hnswParam + 3: FaissRuntimeParam faissParam +} + +struct NearestNeighborQuery { + 1: required embedding.Embedding embedding + 2: required bool with_distance + 3: required RuntimeParams runtimeParams, + 4: required i32 numberOfNeighbors, + // The purpose of the key here is to load the index in memory as a map of Option[key] to index + // If the key is not specified in the query, the map value corresponding to None key will be used + // as the queryable index to perform Nearest Neighbor search on + 5: optional string key +} + +enum BadRequestCode { + VECTOR_DIMENSION_MISMATCH, + RESERVED_2, + RESERVED_3, + RESERVED_4, + RESERVED_5, + RESERVED_6, + RESERVED_7, + RESERVED_8, + RESERVED_9 +} + +exception BadRequest { + 1: string message + 2: required BadRequestCode code +} + +service AnnQueryService { + /** + * Get approximate nearest neighbor for a given vector + */ + NearestNeighborResult query(1: NearestNeighborQuery query) + throws (1: ServerCommon.ServerError serverError, 2: BadRequest badRequest) +} diff --git a/ann/src/main/thrift/com/twitter/ann/knn/BUILD b/ann/src/main/thrift/com/twitter/ann/knn/BUILD new file mode 100644 index 000000000..5c7c1c784 --- /dev/null +++ b/ann/src/main/thrift/com/twitter/ann/knn/BUILD @@ -0,0 +1,11 @@ +create_thrift_libraries( + base_name = "thrift", + sources = ["*.thrift"], + platform = "java8", + tags = ["bazel-compatible"], + dependency_roots = ["src/thrift/com/twitter/ml/featurestore:ml-feature-store"], + generate_languages = [ + "java", + "scala", + ], +) diff --git a/ann/src/main/thrift/com/twitter/ann/knn/knn.thrift b/ann/src/main/thrift/com/twitter/ann/knn/knn.thrift new file mode 100644 index 000000000..bf4aba184 --- /dev/null +++ b/ann/src/main/thrift/com/twitter/ann/knn/knn.thrift @@ -0,0 +1,15 @@ +namespace java com.twitter.ann.knn.thriftjava +#@namespace scala com.twitter.ann.knn.thriftscala +namespace py gen.twitter.ann.knn + +include "com/twitter/ml/featurestore/entity.thrift" + +struct Neighbor { + 1: required double distance + 2: required entity.EntityId id +} (persisted = "true") + +struct Knn { + 1: required entity.EntityId queryId + 2: required list neighbors +}(persisted='true') diff --git a/ann/src/main/thrift/com/twitter/ann/serialization/BUILD b/ann/src/main/thrift/com/twitter/ann/serialization/BUILD new file mode 100644 index 000000000..aa3539532 --- /dev/null +++ b/ann/src/main/thrift/com/twitter/ann/serialization/BUILD @@ -0,0 +1,13 @@ +create_thrift_libraries( + base_name = "serialization", + sources = ["*.thrift"], + platform = "java8", + tags = ["bazel-compatible"], + dependency_roots = [ + "src/thrift/com/twitter/ml/api:embedding", + ], + generate_languages = [ + "java", + "scala", + ], +) diff --git a/ann/src/main/thrift/com/twitter/ann/serialization/serialization.thrift b/ann/src/main/thrift/com/twitter/ann/serialization/serialization.thrift new file mode 100644 index 000000000..fcfa47a56 --- /dev/null +++ b/ann/src/main/thrift/com/twitter/ann/serialization/serialization.thrift @@ -0,0 +1,10 @@ +#@namespace scala com.twitter.ann.serialization.thriftscala + +include "com/twitter/ml/api/embedding.thrift" +/** +* Thrift schema for storing embeddings in a file +*/ +struct PersistedEmbedding { + 1: required binary id + 2: required embedding.Embedding embedding +}(persisted = 'true') diff --git a/ci/ci.sh b/ci/ci.sh new file mode 100755 index 000000000..c52d3c26b --- /dev/null +++ b/ci/ci.sh @@ -0,0 +1,3 @@ +#!/bin/sh + +exit 0 diff --git a/cr-mixer/BUILD.bazel b/cr-mixer/BUILD.bazel new file mode 100644 index 000000000..75890d133 --- /dev/null +++ b/cr-mixer/BUILD.bazel @@ -0,0 +1,24 @@ +jvm_binary( + name = "bin", + basename = "cr-mixer", + main = "com.twitter.cr_mixer.CrMixerServerMain", + runtime_platform = "java11", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/ch/qos/logback:logback-classic", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer", + "finagle/finagle-zipkin-scribe/src/main/scala", + "finatra/inject/inject-logback/src/main/scala", + "loglens/loglens-logback/src/main/scala/com/twitter/loglens/logback", + "twitter-server-internal/src/main/scala", + "twitter-server/logback-classic/src/main/scala", + ], +) + +# Aurora Workflows build phase convention requires a jvm_app named with ${project-name}-app +jvm_app( + name = "cr-mixer-app", + archive = "zip", + binary = ":bin", + tags = ["bazel-compatible"], +) diff --git a/cr-mixer/README.md b/cr-mixer/README.md new file mode 100644 index 000000000..75c0a1553 --- /dev/null +++ b/cr-mixer/README.md @@ -0,0 +1,7 @@ +# CR-Mixer + +CR-Mixer is a candidate generation service proposed as part of the Personalization Strategy vision for Twitter. Its aim is to speed up the iteration and development of candidate generation and light ranking. The service acts as a lightweight coordinating layer that delegates candidate generation tasks to underlying compute services. It focuses on Twitter's candidate generation use cases and offers a centralized platform for fetching, mixing, and managing candidate sources and light rankers. The overarching goal is to increase the speed and ease of testing and developing candidate generation pipelines, ultimately delivering more value to Twitter users. + +CR-Mixer act as a configurator and delegator, providing abstractions for the challenging parts of candidate generation and handling performance issues. It will offer a 1-stop-shop for fetching and mixing candidate sources, a managed and shared performant platform, a light ranking layer, a common filtering layer, a version control system, a co-owned feature switch set, and peripheral tooling. + +CR-Mixer's pipeline consists of 4 steps: source signal extraction, candidate generation, filtering, and ranking. It also provides peripheral tooling like scribing, debugging, and monitoring. The service fetches source signals externally from stores like UserProfileService and RealGraph, calls external candidate generation services, and caches results. Filters are applied for deduping and pre-ranking, and a light ranking step follows. \ No newline at end of file diff --git a/cr-mixer/server/src/main/resources/BUILD.bazel b/cr-mixer/server/src/main/resources/BUILD.bazel new file mode 100644 index 000000000..8f96f402c --- /dev/null +++ b/cr-mixer/server/src/main/resources/BUILD.bazel @@ -0,0 +1,8 @@ +resources( + sources = [ + "*.xml", + "*.yml", + "config/*.yml", + ], + tags = ["bazel-compatible"], +) diff --git a/cr-mixer/server/src/main/resources/config/decider.yml b/cr-mixer/server/src/main/resources/config/decider.yml new file mode 100644 index 000000000..a0d55b9b4 --- /dev/null +++ b/cr-mixer/server/src/main/resources/config/decider.yml @@ -0,0 +1,146 @@ +# The keys in this file correspond to the DeciderValues defined in +# https://sourcegraph.twitter.biz/git.twitter.biz/source/-/blob/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/DeciderKey.scala + +dark_traffic_filter: + comment: Proportion of the requests that are forwarded as dark traffic to the proxy + default_availability: 0 + +enable_tweet_recommendations_home_product: + comment: Proportion of requests where we return an actual response for TweetRecommendations Home product + default_availability: 10000 + +enable_tweet_health_score: + comment: "Enable the calculation for health scores in tweetInfo. By enabling this decider, we will compute TweetHealthModelScore" + default_availability: 10000 + +enable_user_agatha_score: + comment: "Enable the calculation for health scores in tweetInfo. By enabling this decider, we will compute UserHealthModelScore" + default_availability: 10000 + +enable_user_tweet_entity_graph_traffic: + comment: "Enable the traffic to user entity tweet graph to fetch liked-by tweets candidates" + default_availability: 10000 + +enable_user_tweet_graph_traffic: + comment: "Enable the traffic to user tweet graph to fetch similar tweets candidates" + default_availability: 10000 + +enable_user_video_graph_traffic: + comment: "Enable the traffic to user video graph to fetch similar tweets candidates" + default_availability: 10000 + +enable_user_ad_graph_traffic: + comment: "Enable the traffic to user ad graph to fetch similar tweets candidates" + default_availability: 10000 + +enable_qig_similar_tweets_traffic: + comment: "Enable the traffic to QIG to fetch similar tweet candidates" + default_availability: 0 + +enable_frs_traffic: + comment: "Enable the traffic to FRS to fetch user follow recommendations" + default_availability: 0 + +enable_hydra_dark_traffic: + comment: "Enable dark traffic to hydra" + default_availability: 0 + +enable_real_graph_mh_store: + comment: "Enable traffic for the real graph manhattan based store" + default_availability: 0 + +enable_simclusters_ann_experimental_dark_traffic: + comment: "Enable dark traffic to simclusters-ann-experimental" + default_availability: 0 + +enable_simclusters_ann_2_dark_traffic: + comment: "Enable dark traffic to prod SimClustersANN2" + default_availability: 0 + +enable_user_state_store: + comment: "Enable traffic user state store to hydrate user state" + default_availability: 0 + +upper_funnel_per_step_scribe_rate: + comment: "Enable Upper Funnel Event Scribe Sampling (fetch, pre-rank, interleave etc.) for getTweetsRecommendations() endpoint" + default_availability: 0 + +kafka_message_scribe_sample_rate: + comment: "Gates the production of forked scribe messages to kafka for the async feature hydrator" + default_availability: 0 + +top_level_api_ddg_metrics_scribe_rate: + comment: "Enable Top Level API DDG Metrics Scribe Sampling for getTweetsRecommendations() endpoint" + default_availability: 0 + +ads_recommendations_per_experiment_scribe_rate: + comment: "Percentage of DDG traffic to Scribe for getAdsRecommendations() endpoint" + default_availability: 0 + +enable_loadshedding_getTweetRecommendations: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getTweetRecommendations_Home: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getTweetRecommendations_Notifications: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getTweetRecommendations_Email: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getRelatedTweetsForQueryTweet: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getRelatedTweetsForQueryTweet_Home: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getRelatedTweetsForQueryTweet_MoreTweetsModule: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getRelatedTweetsForQueryAuthor: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getRelatedTweetsForQueryAuthor_MoreTweetsModule: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getFrsBasedTweetRecommendations_Home: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_loadshedding_getFrsBasedTweetRecommendations_Notifications: + comment: "Enable loadshedding (from 0% to 100%). Requests that have been shed will return an empty response" + default_availability: 0 + +enable_user_media_representation_store: + comment: "Enable fetching user nudity rate signal from Media Understanding" + default_availability: 0 + +enable_magic_recs_real_time_aggregates_store: + comment: "Enable fetching real time aggregates features from Magic Recs memcache" + default_availability: 0 + +enable_utg_realtime_tweet_engagement_score: + comment: "Enable fetching real time tweet engagement score from utg-plus" + default_availability: 0 + +get_tweet_recommendations_cache_rate: + comment: "Proportion of users where getTweetRecommendations() request and responses will be cached" + default_availability: 1000 + +enable_earlybird_traffic: + comment: "Enable fetching tweet candidates from Earlybird" + default_availability: 0 + +enable_scribe_for_blue_verified_tweet_candidates: + comment: "Enable scribing for tweet candidates from Blue Verified users" + default_availability: 0 diff --git a/cr-mixer/server/src/main/resources/logback.xml b/cr-mixer/server/src/main/resources/logback.xml new file mode 100644 index 000000000..24e7fd57e --- /dev/null +++ b/cr-mixer/server/src/main/resources/logback.xml @@ -0,0 +1,168 @@ + + + + + + + + + + + + + + + + + true + + + + + + + + + + + ${log.service.output} + + + ${log.service.output}.%d.gz + + 21 + true + + + %date %.-3level ${DEFAULT_SERVICE_PATTERN}%n + + + + + + ${log.access.output} + + + ${log.access.output}.%d.gz + + 21 + true + + + ${DEFAULT_ACCESS_PATTERN}%n + + + + + + true + ${log.lens.category} + ${log.lens.index} + ${log.lens.tag}/service + + %msg + + + + + + true + ${log.lens.category} + ${log.lens.index} + ${log.lens.tag}/access + + %msg + + + + + + allow_listed_pipeline_executions.log + + + allow_listed_pipeline_executions.log.%d.gz + + 7 + true + + + %date %.-3level ${DEFAULT_SERVICE_PATTERN}%n + + + + + + + + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/BUILD.bazel b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/BUILD.bazel new file mode 100644 index 000000000..533a86c1f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/BUILD.bazel @@ -0,0 +1,48 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "cr-mixer/server/src/main/resources", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/controller", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "finagle/finagle-core/src/main", + "finagle/finagle-http/src/main/scala", + "finagle/finagle-thriftmux/src/main/scala", + "finatra-internal/mtls-http/src/main/scala", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/http-core/src/main/java/com/twitter/finatra/http", + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-server/src/main/scala", + "finatra/inject/inject-utils/src/main/scala", + "finatra/utils/src/main/java/com/twitter/finatra/annotations", + "hydra/common/libraries/src/main/scala/com/twitter/hydra/common/model_config", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "relevance-platform/src/main/scala/com/twitter/relevance_platform/common/filters", + "src/thrift/com/twitter/timelines/render:thrift-scala", + "thrift-web-forms/src/main/scala/com/twitter/thriftwebforms", + "thrift-web-forms/src/main/scala/com/twitter/thriftwebforms/view", + "timelines/src/main/scala/com/twitter/timelines/features/app", + "twitter-server-internal", + "twitter-server/server/src/main/scala", + "util/util-app/src/main/scala", + "util/util-core:scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerHttpServerWarmupHandler.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerHttpServerWarmupHandler.scala new file mode 100644 index 000000000..85e302d2a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerHttpServerWarmupHandler.scala @@ -0,0 +1,18 @@ +package com.twitter.cr_mixer + +import com.twitter.finatra.http.routing.HttpWarmup +import com.twitter.finatra.httpclient.RequestBuilder._ +import com.twitter.inject.Logging +import com.twitter.inject.utils.Handler +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class CrMixerHttpServerWarmupHandler @Inject() (warmup: HttpWarmup) extends Handler with Logging { + + override def handle(): Unit = { + Try(warmup.send(get("/admin/cr-mixer/product-pipelines"), admin = true)()) + .onFailure(e => error(e.getMessage, e)) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerServer.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerServer.scala new file mode 100644 index 000000000..887aab83f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerServer.scala @@ -0,0 +1,229 @@ +package com.twitter.cr_mixer + +import com.google.inject.Module +import com.twitter.cr_mixer.controller.CrMixerThriftController +import com.twitter.cr_mixer.featureswitch.SetImpressedBucketsLocalContextFilter +import com.twitter.cr_mixer.module.ActivePromotedTweetStoreModule +import com.twitter.cr_mixer.module.CertoStratoStoreModule +import com.twitter.cr_mixer.module.CrMixerParamConfigModule +import com.twitter.cr_mixer.module.EmbeddingStoreModule +import com.twitter.cr_mixer.module.FrsStoreModule +import com.twitter.cr_mixer.module.MHMtlsParamsModule +import com.twitter.cr_mixer.module.OfflineCandidateStoreModule +import com.twitter.cr_mixer.module.RealGraphStoreMhModule +import com.twitter.cr_mixer.module.RealGraphOonStoreModule +import com.twitter.cr_mixer.module.RepresentationManagerModule +import com.twitter.cr_mixer.module.RepresentationScorerModule +import com.twitter.cr_mixer.module.TweetInfoStoreModule +import com.twitter.cr_mixer.module.TweetRecentEngagedUserStoreModule +import com.twitter.cr_mixer.module.TweetRecommendationResultsStoreModule +import com.twitter.cr_mixer.module.TripCandidateStoreModule +import com.twitter.cr_mixer.module.TwhinCollabFilterStratoStoreModule +import com.twitter.cr_mixer.module.UserSignalServiceColumnModule +import com.twitter.cr_mixer.module.UserSignalServiceStoreModule +import com.twitter.cr_mixer.module.UserStateStoreModule +import com.twitter.cr_mixer.module.core.ABDeciderModule +import com.twitter.cr_mixer.module.core.CrMixerFlagModule +import com.twitter.cr_mixer.module.core.CrMixerLoggingABDeciderModule +import com.twitter.cr_mixer.module.core.FeatureContextBuilderModule +import com.twitter.cr_mixer.module.core.FeatureSwitchesModule +import com.twitter.cr_mixer.module.core.KafkaProducerModule +import com.twitter.cr_mixer.module.core.LoggerFactoryModule +import com.twitter.cr_mixer.module.similarity_engine.ConsumerEmbeddingBasedTripSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.ConsumerEmbeddingBasedTwHINSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.ConsumerEmbeddingBasedTwoTowerSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.ConsumersBasedUserAdGraphSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.ConsumersBasedUserVideoGraphSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.ProducerBasedUserAdGraphSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.ProducerBasedUserTweetGraphSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.ProducerBasedUnifiedSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.SimClustersANNSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.TweetBasedUnifiedSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.TweetBasedQigSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.TweetBasedTwHINSimlarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.TweetBasedUserAdGraphSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.TweetBasedUserTweetGraphSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.TweetBasedUserVideoGraphSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.TwhinCollabFilterLookupSimilarityEngineModule +import com.twitter.cr_mixer.module.ConsumersBasedUserAdGraphStoreModule +import com.twitter.cr_mixer.module.ConsumersBasedUserTweetGraphStoreModule +import com.twitter.cr_mixer.module.ConsumersBasedUserVideoGraphStoreModule +import com.twitter.cr_mixer.module.DiffusionStoreModule +import com.twitter.cr_mixer.module.EarlybirdRecencyBasedCandidateStoreModule +import com.twitter.cr_mixer.module.TwiceClustersMembersStoreModule +import com.twitter.cr_mixer.module.StrongTiePredictionStoreModule +import com.twitter.cr_mixer.module.thrift_client.AnnQueryServiceClientModule +import com.twitter.cr_mixer.module.thrift_client.EarlybirdSearchClientModule +import com.twitter.cr_mixer.module.thrift_client.FrsClientModule +import com.twitter.cr_mixer.module.thrift_client.QigServiceClientModule +import com.twitter.cr_mixer.module.thrift_client.SimClustersAnnServiceClientModule +import com.twitter.cr_mixer.module.thrift_client.TweetyPieClientModule +import com.twitter.cr_mixer.module.thrift_client.UserTweetGraphClientModule +import com.twitter.cr_mixer.module.thrift_client.UserTweetGraphPlusClientModule +import com.twitter.cr_mixer.module.thrift_client.UserVideoGraphClientModule +import com.twitter.cr_mixer.{thriftscala => st} +import com.twitter.finagle.Filter +import com.twitter.finatra.annotations.DarkTrafficFilterType +import com.twitter.finatra.decider.modules.DeciderModule +import com.twitter.finatra.http.HttpServer +import com.twitter.finatra.http.routing.HttpRouter +import com.twitter.finatra.jackson.modules.ScalaObjectMapperModule +import com.twitter.finatra.mtls.http.{Mtls => HttpMtls} +import com.twitter.finatra.mtls.thriftmux.Mtls +import com.twitter.finatra.mtls.thriftmux.modules.MtlsThriftWebFormsModule +import com.twitter.finatra.thrift.ThriftServer +import com.twitter.finatra.thrift.filters._ +import com.twitter.finatra.thrift.routing.ThriftRouter +import com.twitter.hydra.common.model_config.{ConfigModule => HydraConfigModule} +import com.twitter.inject.thrift.modules.ThriftClientIdModule +import com.twitter.product_mixer.core.module.LoggingThrowableExceptionMapper +import com.twitter.product_mixer.core.module.StratoClientModule +import com.twitter.product_mixer.core.module.product_mixer_flags.ProductMixerFlagModule +import com.twitter.relevance_platform.common.filters.ClientStatsFilter +import com.twitter.relevance_platform.common.filters.DarkTrafficFilterModule +import com.twitter.cr_mixer.module.SimClustersANNServiceNameToClientMapper +import com.twitter.cr_mixer.module.SkitStratoStoreModule +import com.twitter.cr_mixer.module.BlueVerifiedAnnotationStoreModule +import com.twitter.cr_mixer.module.core.TimeoutConfigModule +import com.twitter.cr_mixer.module.grpc_client.NaviGRPCClientModule +import com.twitter.cr_mixer.module.similarity_engine.CertoTopicTweetSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.ConsumerBasedWalsSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.DiffusionBasedSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.EarlybirdSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.SkitTopicTweetSimilarityEngineModule +import com.twitter.cr_mixer.module.similarity_engine.UserTweetEntityGraphSimilarityEngineModule +import com.twitter.cr_mixer.module.thrift_client.HydraPartitionClientModule +import com.twitter.cr_mixer.module.thrift_client.HydraRootClientModule +import com.twitter.cr_mixer.module.thrift_client.UserAdGraphClientModule +import com.twitter.cr_mixer.module.thrift_client.UserTweetEntityGraphClientModule +import com.twitter.thriftwebforms.MethodOptions + +object CrMixerServerMain extends CrMixerServer + +class CrMixerServer extends ThriftServer with Mtls with HttpServer with HttpMtls { + override val name = "cr-mixer-server" + + private val coreModules = Seq( + ABDeciderModule, + CrMixerFlagModule, + CrMixerLoggingABDeciderModule, + CrMixerParamConfigModule, + new DarkTrafficFilterModule[st.CrMixer.ReqRepServicePerEndpoint](), + DeciderModule, + FeatureContextBuilderModule, + FeatureSwitchesModule, + KafkaProducerModule, + LoggerFactoryModule, + MHMtlsParamsModule, + ProductMixerFlagModule, + ScalaObjectMapperModule, + ThriftClientIdModule + ) + + private val thriftClientModules = Seq( + AnnQueryServiceClientModule, + EarlybirdSearchClientModule, + FrsClientModule, + HydraPartitionClientModule, + HydraRootClientModule, + QigServiceClientModule, + SimClustersAnnServiceClientModule, + TweetyPieClientModule, + UserAdGraphClientModule, + UserTweetEntityGraphClientModule, + UserTweetGraphClientModule, + UserTweetGraphPlusClientModule, + UserVideoGraphClientModule, + ) + + private val grpcClientModules = Seq( + NaviGRPCClientModule + ) + + // Modules sorted alphabetically, please keep the order when adding a new module + override val modules: Seq[Module] = + coreModules ++ thriftClientModules ++ grpcClientModules ++ + Seq( + ActivePromotedTweetStoreModule, + CertoStratoStoreModule, + CertoTopicTweetSimilarityEngineModule, + ConsumersBasedUserAdGraphSimilarityEngineModule, + ConsumersBasedUserTweetGraphStoreModule, + ConsumersBasedUserVideoGraphSimilarityEngineModule, + ConsumersBasedUserVideoGraphStoreModule, + ConsumerEmbeddingBasedTripSimilarityEngineModule, + ConsumerEmbeddingBasedTwHINSimilarityEngineModule, + ConsumerEmbeddingBasedTwoTowerSimilarityEngineModule, + ConsumersBasedUserAdGraphStoreModule, + ConsumerBasedWalsSimilarityEngineModule, + DiffusionStoreModule, + EmbeddingStoreModule, + EarlybirdSimilarityEngineModule, + EarlybirdRecencyBasedCandidateStoreModule, + FrsStoreModule, + HydraConfigModule, + OfflineCandidateStoreModule, + ProducerBasedUnifiedSimilarityEngineModule, + ProducerBasedUserAdGraphSimilarityEngineModule, + ProducerBasedUserTweetGraphSimilarityEngineModule, + RealGraphOonStoreModule, + RealGraphStoreMhModule, + RepresentationManagerModule, + RepresentationScorerModule, + SimClustersANNServiceNameToClientMapper, + SimClustersANNSimilarityEngineModule, + SkitStratoStoreModule, + SkitTopicTweetSimilarityEngineModule, + StratoClientModule, + StrongTiePredictionStoreModule, + TimeoutConfigModule, + TripCandidateStoreModule, + TwiceClustersMembersStoreModule, + TweetBasedQigSimilarityEngineModule, + TweetBasedTwHINSimlarityEngineModule, + TweetBasedUnifiedSimilarityEngineModule, + TweetBasedUserAdGraphSimilarityEngineModule, + TweetBasedUserTweetGraphSimilarityEngineModule, + TweetBasedUserVideoGraphSimilarityEngineModule, + TweetInfoStoreModule, + TweetRecentEngagedUserStoreModule, + TweetRecommendationResultsStoreModule, + TwhinCollabFilterStratoStoreModule, + TwhinCollabFilterLookupSimilarityEngineModule, + UserSignalServiceColumnModule, + UserSignalServiceStoreModule, + UserStateStoreModule, + UserTweetEntityGraphSimilarityEngineModule, + DiffusionBasedSimilarityEngineModule, + BlueVerifiedAnnotationStoreModule, + new MtlsThriftWebFormsModule[st.CrMixer.MethodPerEndpoint](this) { + override protected def defaultMethodAccess: MethodOptions.Access = { + MethodOptions.Access.ByLdapGroup( + Seq( + "cr-mixer-admins", + "recosplat-sensitive-data-medium", + "recos-platform-admins", + )) + } + } + ) + + def configureThrift(router: ThriftRouter): Unit = { + router + .filter[LoggingMDCFilter] + .filter[TraceIdMDCFilter] + .filter[ThriftMDCFilter] + .filter[ClientStatsFilter] + .filter[AccessLoggingFilter] + .filter[SetImpressedBucketsLocalContextFilter] + .filter[ExceptionMappingFilter] + .filter[Filter.TypeAgnostic, DarkTrafficFilterType] + .exceptionMapper[LoggingThrowableExceptionMapper] + .add[CrMixerThriftController] + } + + override protected def warmup(): Unit = { + handle[CrMixerThriftServerWarmupHandler]() + handle[CrMixerHttpServerWarmupHandler]() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerThriftServerWarmupHandler.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerThriftServerWarmupHandler.scala new file mode 100644 index 000000000..46c46c92b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/CrMixerThriftServerWarmupHandler.scala @@ -0,0 +1,75 @@ +package com.twitter.cr_mixer + +import com.twitter.finagle.thrift.ClientId +import com.twitter.finatra.thrift.routing.ThriftWarmup +import com.twitter.inject.Logging +import com.twitter.inject.utils.Handler +import com.twitter.product_mixer.core.{thriftscala => pt} +import com.twitter.cr_mixer.{thriftscala => st} +import com.twitter.scrooge.Request +import com.twitter.scrooge.Response +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class CrMixerThriftServerWarmupHandler @Inject() (warmup: ThriftWarmup) + extends Handler + with Logging { + + private val clientId = ClientId("thrift-warmup-client") + + def handle(): Unit = { + val testIds = Seq(1, 2, 3) + try { + clientId.asCurrent { + testIds.foreach { id => + val warmupReq = warmupQuery(id) + info(s"Sending warm-up request to service with query: $warmupReq") + warmup.sendRequest( + method = st.CrMixer.GetTweetRecommendations, + req = Request(st.CrMixer.GetTweetRecommendations.Args(warmupReq)))(assertWarmupResponse) + } + } + } catch { + case e: Throwable => + // we don't want a warmup failure to prevent start-up + error(e.getMessage, e) + } + info("Warm-up done.") + } + + private def warmupQuery(userId: Long): st.CrMixerTweetRequest = { + val clientContext = pt.ClientContext( + userId = Some(userId), + guestId = None, + appId = Some(258901L), + ipAddress = Some("0.0.0.0"), + userAgent = Some("FAKE_USER_AGENT_FOR_WARMUPS"), + countryCode = Some("US"), + languageCode = Some("en"), + isTwoffice = None, + userRoles = None, + deviceId = Some("FAKE_DEVICE_ID_FOR_WARMUPS") + ) + st.CrMixerTweetRequest( + clientContext = clientContext, + product = st.Product.Home, + productContext = Some(st.ProductContext.HomeContext(st.HomeContext())), + ) + } + + private def assertWarmupResponse( + result: Try[Response[st.CrMixer.GetTweetRecommendations.SuccessType]] + ): Unit = { + // we collect and log any exceptions from the result. + result match { + case Return(_) => // ok + case Throw(exception) => + warn("Error performing warm-up request.") + error(exception.getMessage, exception) + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/AdsBlender.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/AdsBlender.scala new file mode 100644 index 000000000..4e8f0a41d --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/AdsBlender.scala @@ -0,0 +1,77 @@ +package com.twitter.cr_mixer.blender + +import com.twitter.cr_mixer.model.BlendedAdsCandidate +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.InitialAdsCandidate +import com.twitter.cr_mixer.util.InterleaveUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Singleton +import scala.collection.mutable + +@Singleton +case class AdsBlender @Inject() (globalStats: StatsReceiver) { + + private val name: String = this.getClass.getCanonicalName + private val stats: StatsReceiver = globalStats.scope(name) + + /** + * Interleaves candidates by iteratively choosing InterestedIn candidates and TWISTLY candidates + * in turn. InterestedIn candidates have no source signal, whereas TWISTLY candidates do. TWISTLY + * candidates themselves are interleaved by source before equal blending with InterestedIn + * candidates. + */ + def blend( + inputCandidates: Seq[Seq[InitialAdsCandidate]], + ): Future[Seq[BlendedAdsCandidate]] = { + + // Filter out empty candidate sequence + val candidates = inputCandidates.filter(_.nonEmpty) + val (interestedInCandidates, twistlyCandidates) = + candidates.partition(_.head.candidateGenerationInfo.sourceInfoOpt.isEmpty) + // First interleave twistly candidates + val interleavedTwistlyCandidates = InterleaveUtil.interleave(twistlyCandidates) + + val twistlyAndInterestedInCandidates = + Seq(interestedInCandidates.flatten, interleavedTwistlyCandidates) + + // then interleave twistly candidates with interested in to make them even + val interleavedCandidates = InterleaveUtil.interleave(twistlyAndInterestedInCandidates) + + stats.stat("candidates").add(interleavedCandidates.size) + + val blendedCandidates = buildBlendedAdsCandidate(inputCandidates, interleavedCandidates) + Future.value(blendedCandidates) + } + private def buildBlendedAdsCandidate( + inputCandidates: Seq[Seq[InitialAdsCandidate]], + interleavedCandidates: Seq[InitialAdsCandidate] + ): Seq[BlendedAdsCandidate] = { + val cgInfoLookupMap = buildCandidateToCGInfosMap(inputCandidates) + interleavedCandidates.map { interleavedCandidate => + interleavedCandidate.toBlendedAdsCandidate(cgInfoLookupMap(interleavedCandidate.tweetId)) + } + } + + private def buildCandidateToCGInfosMap( + candidateSeq: Seq[Seq[InitialAdsCandidate]], + ): Map[TweetId, Seq[CandidateGenerationInfo]] = { + val tweetIdMap = mutable.HashMap[TweetId, Seq[CandidateGenerationInfo]]() + + candidateSeq.foreach { candidates => + candidates.foreach { candidate => + val candidateGenerationInfoSeq = { + tweetIdMap.getOrElse(candidate.tweetId, Seq.empty) + } + val candidateGenerationInfo = candidate.candidateGenerationInfo + tweetIdMap.put( + candidate.tweetId, + candidateGenerationInfoSeq ++ Seq(candidateGenerationInfo)) + } + } + tweetIdMap.toMap + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/BUILD new file mode 100644 index 000000000..604e35f99 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/BUILD @@ -0,0 +1,20 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/src/jvm/com/twitter/storehaus:core", + "configapi/configapi-core", + "content-recommender/thrift/src/main/thrift:thrift-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/BlendedCandidatesBuilder.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/BlendedCandidatesBuilder.scala new file mode 100644 index 000000000..1a864a6c2 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/BlendedCandidatesBuilder.scala @@ -0,0 +1,48 @@ +package com.twitter.cr_mixer.blender + +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.simclusters_v2.common.TweetId +import scala.collection.mutable + +object BlendedCandidatesBuilder { + + /** + * @param inputCandidates input candidate prior to interleaving + * @param interleavedCandidates after interleaving. These tweets are de-duplicated. + */ + def build( + inputCandidates: Seq[Seq[InitialCandidate]], + interleavedCandidates: Seq[InitialCandidate] + ): Seq[BlendedCandidate] = { + val cgInfoLookupMap = buildCandidateToCGInfosMap(inputCandidates) + interleavedCandidates.map { interleavedCandidate => + interleavedCandidate.toBlendedCandidate(cgInfoLookupMap(interleavedCandidate.tweetId)) + } + } + + /** + * The same tweet can be generated by different sources. + * This function tells you which CandidateGenerationInfo generated a given tweet + */ + private def buildCandidateToCGInfosMap( + candidateSeq: Seq[Seq[InitialCandidate]], + ): Map[TweetId, Seq[CandidateGenerationInfo]] = { + val tweetIdMap = mutable.HashMap[TweetId, Seq[CandidateGenerationInfo]]() + + candidateSeq.foreach { candidates => + candidates.foreach { candidate => + val candidateGenerationInfoSeq = { + tweetIdMap.getOrElse(candidate.tweetId, Seq.empty) + } + val candidateGenerationInfo = candidate.candidateGenerationInfo + tweetIdMap.put( + candidate.tweetId, + candidateGenerationInfoSeq ++ Seq(candidateGenerationInfo)) + } + } + tweetIdMap.toMap + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/ContentSignalBlender.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/ContentSignalBlender.scala new file mode 100644 index 000000000..9ef81009b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/ContentSignalBlender.scala @@ -0,0 +1,121 @@ +package com.twitter.cr_mixer.blender + +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.param.BlenderParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Inject + +case class ContentSignalBlender @Inject() (globalStats: StatsReceiver) { + + private val name: String = this.getClass.getCanonicalName + private val stats: StatsReceiver = globalStats.scope(name) + + /** + * Exposes multiple types of sorting relying only on Content Based signals + * Candidate Recency, Random, FavoriteCount and finally Standardized, which standardizes the scores + * that come from the active SimilarityEngine and then sort on the standardized scores. + */ + def blend( + params: Params, + inputCandidates: Seq[Seq[InitialCandidate]], + ): Future[Seq[BlendedCandidate]] = { + // Filter out empty candidate sequence + val candidates = inputCandidates.filter(_.nonEmpty) + val sortedCandidates = params(BlenderParams.ContentBlenderTypeSortingAlgorithmParam) match { + case BlenderParams.ContentBasedSortingAlgorithmEnum.CandidateRecency => + candidates.flatten.sortBy(c => getSnowflakeTimeStamp(c.tweetId)).reverse + case BlenderParams.ContentBasedSortingAlgorithmEnum.RandomSorting => + candidates.flatten.sortBy(_ => scala.util.Random.nextDouble()) + case BlenderParams.ContentBasedSortingAlgorithmEnum.FavoriteCount => + candidates.flatten.sortBy(-_.tweetInfo.favCount) + case BlenderParams.ContentBasedSortingAlgorithmEnum.SimilarityToSignalSorting => + standardizeAndSortByScore(flattenAndGroupByEngineTypeOrFirstContribEngine(candidates)) + case _ => + candidates.flatten.sortBy(-_.tweetInfo.favCount) + } + + stats.stat("candidates").add(sortedCandidates.size) + + val blendedCandidates = + BlendedCandidatesBuilder.build(inputCandidates, removeDuplicates(sortedCandidates)) + Future.value(blendedCandidates) + } + + private def removeDuplicates(candidates: Seq[InitialCandidate]): Seq[InitialCandidate] = { + val seen = collection.mutable.Set.empty[Long] + candidates.filter { c => + if (seen.contains(c.tweetId)) { + false + } else { + seen += c.tweetId + true + } + } + } + + private def groupByEngineTypeOrFirstContribEngine( + candidates: Seq[InitialCandidate] + ): Map[SimilarityEngineType, Seq[InitialCandidate]] = { + val grouped = candidates.groupBy { candidate => + val contrib = candidate.candidateGenerationInfo.contributingSimilarityEngines + if (contrib.nonEmpty) { + contrib.head.similarityEngineType + } else { + candidate.candidateGenerationInfo.similarityEngineInfo.similarityEngineType + } + } + grouped + } + + private def flattenAndGroupByEngineTypeOrFirstContribEngine( + candidates: Seq[Seq[InitialCandidate]] + ): Seq[Seq[InitialCandidate]] = { + val flat = candidates.flatten + val grouped = groupByEngineTypeOrFirstContribEngine(flat) + grouped.values.toSeq + } + + private def standardizeAndSortByScore( + candidates: Seq[Seq[InitialCandidate]] + ): Seq[InitialCandidate] = { + candidates + .map { innerSeq => + val meanScore = innerSeq + .map(c => c.candidateGenerationInfo.similarityEngineInfo.score.getOrElse(0.0)) + .sum / innerSeq.length + val stdDev = scala.math + .sqrt( + innerSeq + .map(c => c.candidateGenerationInfo.similarityEngineInfo.score.getOrElse(0.0)) + .map(a => a - meanScore) + .map(a => a * a) + .sum / innerSeq.length) + innerSeq + .map(c => + ( + c, + c.candidateGenerationInfo.similarityEngineInfo.score + .map { score => + if (stdDev != 0) (score - meanScore) / stdDev + else 0.0 + } + .getOrElse(0.0))) + }.flatten.sortBy { case (_, standardizedScore) => -standardizedScore } + .map { case (candidate, _) => candidate } + } + + private def getSnowflakeTimeStamp(tweetId: Long): Time = { + val isSnowflake = SnowflakeId.isSnowflakeId(tweetId) + if (isSnowflake) { + SnowflakeId(tweetId).time + } else { + Time.fromMilliseconds(0L) + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/CountWeightedInterleaveBlender.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/CountWeightedInterleaveBlender.scala new file mode 100644 index 000000000..4c5dd07c3 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/CountWeightedInterleaveBlender.scala @@ -0,0 +1,90 @@ +package com.twitter.cr_mixer.blender + +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.param.BlenderParams +import com.twitter.cr_mixer.util.CountWeightedInterleaveUtil +import com.twitter.cr_mixer.util.InterleaveUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Singleton + +/** + * A weighted round robin interleaving algorithm. + * The weight of each blending group based on the count of candidates in each blending group. + * The more candidates under a blending group, the more candidates are selected from it during round + * robin, which in effect prioritizes this group. + * + * Weights sum up to 1. For example: + * total candidates = 8 + * Group Weight + * [A1, A2, A3, A4] 4/8 = 0.5 // select 50% of results from group A + * [B1, B2] 2/8 = 0.25 // 25% from group B + * [C1, C2] 2/8 = 0.25 // 25% from group C + * + * Blended results = [A1, A2, B1, C1, A3, A4, B2, C2] + * See @linht's go/weighted-interleave + */ +@Singleton +case class CountWeightedInterleaveBlender @Inject() (globalStats: StatsReceiver) { + import CountWeightedInterleaveBlender._ + + private val name: String = this.getClass.getCanonicalName + private val stats: StatsReceiver = globalStats.scope(name) + + def blend( + query: CrCandidateGeneratorQuery, + inputCandidates: Seq[Seq[InitialCandidate]] + ): Future[Seq[BlendedCandidate]] = { + val weightedBlenderQuery = CountWeightedInterleaveBlender.paramToQuery(query.params) + countWeightedInterleave(weightedBlenderQuery, inputCandidates) + } + + private[blender] def countWeightedInterleave( + query: WeightedBlenderQuery, + inputCandidates: Seq[Seq[InitialCandidate]], + ): Future[Seq[BlendedCandidate]] = { + + val candidatesAndWeightKeyByIndexId: Seq[(Seq[InitialCandidate], Double)] = { + CountWeightedInterleaveUtil.buildInitialCandidatesWithWeightKeyByFeature( + inputCandidates, + query.rankerWeightShrinkage) + } + + val interleavedCandidates = + InterleaveUtil.weightedInterleave(candidatesAndWeightKeyByIndexId, query.maxWeightAdjustments) + + stats.stat("candidates").add(interleavedCandidates.size) + + val blendedCandidates = BlendedCandidatesBuilder.build(inputCandidates, interleavedCandidates) + Future.value(blendedCandidates) + } +} + +object CountWeightedInterleaveBlender { + + /** + * We pass two parameters to the weighted interleaver: + * @param rankerWeightShrinkage shrinkage parameter between [0, 1] that determines how close we + * stay to uniform sampling. The bigger the shrinkage the + * closer we are to uniform round robin + * @param maxWeightAdjustments max number of weighted sampling to do prior to defaulting to + * uniform. Set so that we avoid infinite loops (e.g. if weights are + * 0) + */ + case class WeightedBlenderQuery( + rankerWeightShrinkage: Double, + maxWeightAdjustments: Int) + + def paramToQuery(params: Params): WeightedBlenderQuery = { + val rankerWeightShrinkage: Double = + params(BlenderParams.RankingInterleaveWeightShrinkageParam) + val maxWeightAdjustments: Int = + params(BlenderParams.RankingInterleaveMaxWeightAdjustments) + + WeightedBlenderQuery(rankerWeightShrinkage, maxWeightAdjustments) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/InterleaveBlender.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/InterleaveBlender.scala new file mode 100644 index 000000000..92cdfe092 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/InterleaveBlender.scala @@ -0,0 +1,33 @@ +package com.twitter.cr_mixer.blender + +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.util.InterleaveUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class InterleaveBlender @Inject() (globalStats: StatsReceiver) { + + private val name: String = this.getClass.getCanonicalName + private val stats: StatsReceiver = globalStats.scope(name) + + /** + * Interleaves candidates, by taking 1 candidate from each Seq[Seq[InitialCandidate]] in sequence, + * until we run out of candidates. + */ + def blend( + inputCandidates: Seq[Seq[InitialCandidate]], + ): Future[Seq[BlendedCandidate]] = { + + val interleavedCandidates = InterleaveUtil.interleave(inputCandidates) + + stats.stat("candidates").add(interleavedCandidates.size) + + val blendedCandidates = BlendedCandidatesBuilder.build(inputCandidates, interleavedCandidates) + Future.value(blendedCandidates) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/SourceTypeBackFillBlender.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/SourceTypeBackFillBlender.scala new file mode 100644 index 000000000..14e93d53d --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/SourceTypeBackFillBlender.scala @@ -0,0 +1,64 @@ +package com.twitter.cr_mixer.blender + +import com.twitter.cr_mixer.blender.ImplicitSignalBackFillBlender.BackFillSourceTypes +import com.twitter.cr_mixer.blender.ImplicitSignalBackFillBlender.BackFillSourceTypesWithVideo +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.param.BlenderParams +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.cr_mixer.util.InterleaveUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future +import javax.inject.Inject + +case class SourceTypeBackFillBlender @Inject() (globalStats: StatsReceiver) { + + private val name: String = this.getClass.getCanonicalName + private val stats: StatsReceiver = globalStats.scope(name) + + /** + * Partition the candidates based on source type + * Interleave the two partitions of candidates separately + * Then append the back fill candidates to the end + */ + def blend( + params: Params, + inputCandidates: Seq[Seq[InitialCandidate]], + ): Future[Seq[BlendedCandidate]] = { + + // Filter out empty candidate sequence + val candidates = inputCandidates.filter(_.nonEmpty) + + val backFillSourceTypes = + if (params(BlenderParams.SourceTypeBackFillEnableVideoBackFill)) BackFillSourceTypesWithVideo + else BackFillSourceTypes + // partition candidates based on their source types + val (backFillCandidates, regularCandidates) = + candidates.partition( + _.head.candidateGenerationInfo.sourceInfoOpt + .exists(sourceInfo => backFillSourceTypes.contains(sourceInfo.sourceType))) + + val interleavedRegularCandidates = InterleaveUtil.interleave(regularCandidates) + val interleavedBackFillCandidates = + InterleaveUtil.interleave(backFillCandidates) + stats.stat("backFillCandidates").add(interleavedBackFillCandidates.size) + // Append interleaved backfill candidates to the end + val interleavedCandidates = interleavedRegularCandidates ++ interleavedBackFillCandidates + + stats.stat("candidates").add(interleavedCandidates.size) + + val blendedCandidates = BlendedCandidatesBuilder.build(inputCandidates, interleavedCandidates) + Future.value(blendedCandidates) + } + +} + +object ImplicitSignalBackFillBlender { + final val BackFillSourceTypesWithVideo: Set[SourceType] = Set( + SourceType.UserRepeatedProfileVisit, + SourceType.VideoTweetPlayback50, + SourceType.VideoTweetQualityView) + + final val BackFillSourceTypes: Set[SourceType] = Set(SourceType.UserRepeatedProfileVisit) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/SwitchBlender.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/SwitchBlender.scala new file mode 100644 index 000000000..7052a71a5 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender/SwitchBlender.scala @@ -0,0 +1,81 @@ +package com.twitter.cr_mixer.blender + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.param.BlenderParams +import com.twitter.cr_mixer.param.BlenderParams.BlendingAlgorithmEnum +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class SwitchBlender @Inject() ( + defaultBlender: InterleaveBlender, + sourceTypeBackFillBlender: SourceTypeBackFillBlender, + adsBlender: AdsBlender, + contentSignalBlender: ContentSignalBlender, + globalStats: StatsReceiver) { + + private val stats = globalStats.scope(this.getClass.getCanonicalName) + + def blend( + params: Params, + userState: UserState, + inputCandidates: Seq[Seq[InitialCandidate]], + ): Future[Seq[BlendedCandidate]] = { + // Take out empty seq + val nonEmptyCandidates = inputCandidates.collect { + case candidates if candidates.nonEmpty => + candidates + } + stats.stat("num_of_sequences").add(inputCandidates.size) + + // Sort the seqs in an order + val innerSignalSorting = params(BlenderParams.SignalTypeSortingAlgorithmParam) match { + case BlenderParams.ContentBasedSortingAlgorithmEnum.SourceSignalRecency => + SwitchBlender.TimestampOrder + case BlenderParams.ContentBasedSortingAlgorithmEnum.RandomSorting => SwitchBlender.RandomOrder + case _ => SwitchBlender.TimestampOrder + } + + val candidatesToBlend = nonEmptyCandidates.sortBy(_.head)(innerSignalSorting) + // Blend based on specified blender rules + params(BlenderParams.BlendingAlgorithmParam) match { + case BlendingAlgorithmEnum.RoundRobin => + defaultBlender.blend(candidatesToBlend) + case BlendingAlgorithmEnum.SourceTypeBackFill => + sourceTypeBackFillBlender.blend(params, candidatesToBlend) + case BlendingAlgorithmEnum.SourceSignalSorting => + contentSignalBlender.blend(params, candidatesToBlend) + case _ => defaultBlender.blend(candidatesToBlend) + } + } +} + +object SwitchBlender { + + /** + * Prefers candidates generated from sources with the latest timestamps. + * The newer the source signal, the higher a candidate ranks. + * This ordering biases against consumer-based candidates because their timestamp defaults to 0 + * + * Within a Seq[Seq[Candidate]], all candidates within a inner Seq + * are guaranteed to have the same sourceInfo because they are grouped by (sourceInfo, SE model). + * Hence, we can pick .headOption to represent the whole list when filtering by the internalId of the sourceInfoOpt. + * But of course the similarityEngine score in a CGInfo could be different. + */ + val TimestampOrder: Ordering[InitialCandidate] = + math.Ordering + .by[InitialCandidate, Time]( + _.candidateGenerationInfo.sourceInfoOpt + .flatMap(_.sourceEventTime) + .getOrElse(Time.fromMilliseconds(0L))) + .reverse + + private val RandomOrder: Ordering[InitialCandidate] = + Ordering.by[InitialCandidate, Double](_ => scala.util.Random.nextDouble()) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/AdsCandidateGenerator.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/AdsCandidateGenerator.scala new file mode 100644 index 000000000..e240ebf2d --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/AdsCandidateGenerator.scala @@ -0,0 +1,140 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.cr_mixer.blender.AdsBlender +import com.twitter.cr_mixer.logging.AdsRecommendationsScribeLogger +import com.twitter.cr_mixer.model.AdsCandidateGeneratorQuery +import com.twitter.cr_mixer.model.BlendedAdsCandidate +import com.twitter.cr_mixer.model.InitialAdsCandidate +import com.twitter.cr_mixer.model.RankedAdsCandidate +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.param.AdsParams +import com.twitter.cr_mixer.param.ConsumersBasedUserAdGraphParams +import com.twitter.cr_mixer.source_signal.RealGraphInSourceGraphFetcher +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.source_signal.UssSourceSignalFetcher +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.UserId +import com.twitter.util.Future + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class AdsCandidateGenerator @Inject() ( + ussSourceSignalFetcher: UssSourceSignalFetcher, + realGraphInSourceGraphFetcher: RealGraphInSourceGraphFetcher, + adsCandidateSourceRouter: AdsCandidateSourcesRouter, + adsBlender: AdsBlender, + scribeLogger: AdsRecommendationsScribeLogger, + globalStats: StatsReceiver) { + + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + private val fetchSourcesStats = stats.scope("fetchSources") + private val fetchRealGraphSeedsStats = stats.scope("fetchRealGraphSeeds") + private val fetchCandidatesStats = stats.scope("fetchCandidates") + private val interleaveStats = stats.scope("interleave") + private val rankStats = stats.scope("rank") + + def get(query: AdsCandidateGeneratorQuery): Future[Seq[RankedAdsCandidate]] = { + val allStats = stats.scope("all") + val perProductStats = stats.scope("perProduct", query.product.toString) + + StatsUtil.trackItemsStats(allStats) { + StatsUtil.trackItemsStats(perProductStats) { + for { + // fetch source signals + sourceSignals <- StatsUtil.trackBlockStats(fetchSourcesStats) { + fetchSources(query) + } + realGraphSeeds <- StatsUtil.trackItemMapStats(fetchRealGraphSeedsStats) { + fetchSeeds(query) + } + // get initial candidates from similarity engines + // hydrate lineItemInfo and filter out non active ads + initialCandidates <- StatsUtil.trackBlockStats(fetchCandidatesStats) { + fetchCandidates(query, sourceSignals, realGraphSeeds) + } + + // blend candidates + blendedCandidates <- StatsUtil.trackItemsStats(interleaveStats) { + interleave(initialCandidates) + } + + rankedCandidates <- StatsUtil.trackItemsStats(rankStats) { + rank( + blendedCandidates, + query.params(AdsParams.EnableScoreBoost), + query.params(AdsParams.AdsCandidateGenerationScoreBoostFactor), + rankStats) + } + } yield { + rankedCandidates.take(query.maxNumResults) + } + } + } + + } + + def fetchSources( + query: AdsCandidateGeneratorQuery + ): Future[Set[SourceInfo]] = { + val fetcherQuery = + FetcherQuery(query.userId, query.product, query.userState, query.params) + ussSourceSignalFetcher.get(fetcherQuery).map(_.getOrElse(Seq.empty).toSet) + } + + private def fetchCandidates( + query: AdsCandidateGeneratorQuery, + sourceSignals: Set[SourceInfo], + realGraphSeeds: Map[UserId, Double] + ): Future[Seq[Seq[InitialAdsCandidate]]] = { + scribeLogger.scribeInitialAdsCandidates( + query, + adsCandidateSourceRouter + .fetchCandidates(query.userId, sourceSignals, realGraphSeeds, query.params), + query.params(AdsParams.EnableScribe) + ) + + } + + private def fetchSeeds( + query: AdsCandidateGeneratorQuery + ): Future[Map[UserId, Double]] = { + if (query.params(ConsumersBasedUserAdGraphParams.EnableSourceParam)) { + realGraphInSourceGraphFetcher + .get(FetcherQuery(query.userId, query.product, query.userState, query.params)) + .map(_.map(_.seedWithScores).getOrElse(Map.empty)) + } else Future.value(Map.empty[UserId, Double]) + } + + private def interleave( + candidates: Seq[Seq[InitialAdsCandidate]] + ): Future[Seq[BlendedAdsCandidate]] = { + adsBlender + .blend(candidates) + } + + private def rank( + candidates: Seq[BlendedAdsCandidate], + enableScoreBoost: Boolean, + scoreBoostFactor: Double, + statsReceiver: StatsReceiver, + ): Future[Seq[RankedAdsCandidate]] = { + + val candidateSize = candidates.size + val rankedCandidates = candidates.zipWithIndex.map { + case (candidate, index) => + val score = 0.5 + 0.5 * ((candidateSize - index).toDouble / candidateSize) + val boostedScore = if (enableScoreBoost) { + statsReceiver.stat("boostedScore").add((100.0 * score * scoreBoostFactor).toFloat) + score * scoreBoostFactor + } else { + statsReceiver.stat("score").add((100.0 * score).toFloat) + score + } + candidate.toRankedAdsCandidate(boostedScore) + } + Future.value(rankedCandidates) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/AdsCandidateSourcesRouter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/AdsCandidateSourcesRouter.scala new file mode 100644 index 000000000..69ef31b74 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/AdsCandidateSourcesRouter.scala @@ -0,0 +1,516 @@ + package com.twitter.cr_mixer.candidate_generation + +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.InitialAdsCandidate +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.ConsumersBasedUserAdGraphParams +import com.twitter.cr_mixer.param.ConsumerBasedWalsParams +import com.twitter.cr_mixer.param.ConsumerEmbeddingBasedCandidateGenerationParams +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.InterestedInParams +import com.twitter.cr_mixer.param.ProducerBasedCandidateGenerationParams +import com.twitter.cr_mixer.param.SimClustersANNParams +import com.twitter.cr_mixer.param.TweetBasedCandidateGenerationParams +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.ConsumerBasedWalsSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.ConsumersBasedUserAdGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.FilterUtil +import com.twitter.cr_mixer.similarity_engine.HnswANNEngineQuery +import com.twitter.cr_mixer.similarity_engine.HnswANNSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.ProducerBasedUserAdGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimClustersANNSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimClustersANNSimilarityEngine.Query +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUserAdGraphSimilarityEngine +import com.twitter.cr_mixer.thriftscala.LineItemInfo +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.common.ModelVersions +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +case class AdsCandidateSourcesRouter @Inject() ( + activePromotedTweetStore: ReadableStore[TweetId, Seq[LineItemInfo]], + decider: CrMixerDecider, + @Named(ModuleNames.SimClustersANNSimilarityEngine) simClustersANNSimilarityEngine: StandardSimilarityEngine[ + Query, + TweetWithScore + ], + @Named(ModuleNames.TweetBasedUserAdGraphSimilarityEngine) + tweetBasedUserAdGraphSimilarityEngine: StandardSimilarityEngine[ + TweetBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.ConsumersBasedUserAdGraphSimilarityEngine) + consumersBasedUserAdGraphSimilarityEngine: StandardSimilarityEngine[ + ConsumersBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.ProducerBasedUserAdGraphSimilarityEngine) + producerBasedUserAdGraphSimilarityEngine: StandardSimilarityEngine[ + ProducerBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.TweetBasedTwHINANNSimilarityEngine) + tweetBasedTwHINANNSimilarityEngine: HnswANNSimilarityEngine, + @Named(ModuleNames.ConsumerEmbeddingBasedTwHINANNSimilarityEngine) consumerTwHINANNSimilarityEngine: HnswANNSimilarityEngine, + @Named(ModuleNames.ConsumerBasedWalsSimilarityEngine) + consumerBasedWalsSimilarityEngine: StandardSimilarityEngine[ + ConsumerBasedWalsSimilarityEngine.Query, + TweetWithScore + ], + globalStats: StatsReceiver, +) { + + import AdsCandidateSourcesRouter._ + + val stats: StatsReceiver = globalStats.scope(this.getClass.getSimpleName) + + def fetchCandidates( + requestUserId: UserId, + sourceSignals: Set[SourceInfo], + realGraphSeeds: Map[UserId, Double], + params: configapi.Params + ): Future[Seq[Seq[InitialAdsCandidate]]] = { + + val simClustersANN1ConfigId = params(SimClustersANNParams.SimClustersANN1ConfigId) + + val tweetBasedSANNMinScore = params( + TweetBasedCandidateGenerationParams.SimClustersMinScoreParam) + val tweetBasedSANN1Candidates = + if (params(TweetBasedCandidateGenerationParams.EnableSimClustersANN1Param)) { + Future.collect( + CandidateSourcesRouter.getTweetBasedSourceInfo(sourceSignals).toSeq.map { sourceInfo => + getSimClustersANNCandidates( + requestUserId, + Some(sourceInfo), + params, + simClustersANN1ConfigId, + tweetBasedSANNMinScore) + }) + } else Future.value(Seq.empty) + + val simClustersANN2ConfigId = params(SimClustersANNParams.SimClustersANN2ConfigId) + val tweetBasedSANN2Candidates = + if (params(TweetBasedCandidateGenerationParams.EnableSimClustersANN2Param)) { + Future.collect( + CandidateSourcesRouter.getTweetBasedSourceInfo(sourceSignals).toSeq.map { sourceInfo => + getSimClustersANNCandidates( + requestUserId, + Some(sourceInfo), + params, + simClustersANN2ConfigId, + tweetBasedSANNMinScore) + }) + } else Future.value(Seq.empty) + + val tweetBasedUagCandidates = + if (params(TweetBasedCandidateGenerationParams.EnableUAGParam)) { + Future.collect( + CandidateSourcesRouter.getTweetBasedSourceInfo(sourceSignals).toSeq.map { sourceInfo => + getTweetBasedUserAdGraphCandidates(Some(sourceInfo), params) + }) + } else Future.value(Seq.empty) + + val realGraphInNetworkBasedUagCandidates = + if (params(ConsumersBasedUserAdGraphParams.EnableSourceParam)) { + getRealGraphConsumersBasedUserAdGraphCandidates(realGraphSeeds, params).map(Seq(_)) + } else Future.value(Seq.empty) + + val producerBasedUagCandidates = + if (params(ProducerBasedCandidateGenerationParams.EnableUAGParam)) { + Future.collect( + CandidateSourcesRouter.getProducerBasedSourceInfo(sourceSignals).toSeq.map { sourceInfo => + getProducerBasedUserAdGraphCandidates(Some(sourceInfo), params) + }) + } else Future.value(Seq.empty) + + val tweetBasedTwhinAdsCandidates = + if (params(TweetBasedCandidateGenerationParams.EnableTwHINParam)) { + Future.collect( + CandidateSourcesRouter.getTweetBasedSourceInfo(sourceSignals).toSeq.map { sourceInfo => + getTwHINAdsCandidates( + tweetBasedTwHINANNSimilarityEngine, + SimilarityEngineType.TweetBasedTwHINANN, + requestUserId, + Some(sourceInfo), + ModelConfig.DebuggerDemo) + }) + } else Future.value(Seq.empty) + + val producerBasedSANNMinScore = params( + ProducerBasedCandidateGenerationParams.SimClustersMinScoreParam) + val producerBasedSANN1Candidates = + if (params(ProducerBasedCandidateGenerationParams.EnableSimClustersANN1Param)) { + Future.collect( + CandidateSourcesRouter.getProducerBasedSourceInfo(sourceSignals).toSeq.map { sourceInfo => + getSimClustersANNCandidates( + requestUserId, + Some(sourceInfo), + params, + simClustersANN1ConfigId, + producerBasedSANNMinScore) + }) + } else Future.value(Seq.empty) + val producerBasedSANN2Candidates = + if (params(ProducerBasedCandidateGenerationParams.EnableSimClustersANN2Param)) { + Future.collect( + CandidateSourcesRouter.getProducerBasedSourceInfo(sourceSignals).toSeq.map { sourceInfo => + getSimClustersANNCandidates( + requestUserId, + Some(sourceInfo), + params, + simClustersANN2ConfigId, + producerBasedSANNMinScore) + }) + } else Future.value(Seq.empty) + + val interestedInMinScore = params(InterestedInParams.MinScoreParam) + val interestedInSANN1Candidates = if (params(InterestedInParams.EnableSimClustersANN1Param)) { + getSimClustersANNCandidates( + requestUserId, + None, + params, + simClustersANN1ConfigId, + interestedInMinScore).map(Seq(_)) + } else Future.value(Seq.empty) + + val interestedInSANN2Candidates = if (params(InterestedInParams.EnableSimClustersANN2Param)) { + getSimClustersANNCandidates( + requestUserId, + None, + params, + simClustersANN2ConfigId, + interestedInMinScore).map(Seq(_)) + } else Future.value(Seq.empty) + + val consumerTwHINAdsCandidates = + if (params(ConsumerEmbeddingBasedCandidateGenerationParams.EnableTwHINParam)) { + getTwHINAdsCandidates( + consumerTwHINANNSimilarityEngine, + SimilarityEngineType.ConsumerEmbeddingBasedTwHINANN, + requestUserId, + None, + ModelConfig.DebuggerDemo).map(Seq(_)) + } else Future.value(Seq.empty) + + val consumerBasedWalsCandidates = + if (params( + ConsumerBasedWalsParams.EnableSourceParam + )) { + getConsumerBasedWalsCandidates(sourceSignals, params) + }.map { + Seq(_) + } + else Future.value(Seq.empty) + + Future + .collect(Seq( + tweetBasedSANN1Candidates, + tweetBasedSANN2Candidates, + tweetBasedUagCandidates, + tweetBasedTwhinAdsCandidates, + producerBasedUagCandidates, + producerBasedSANN1Candidates, + producerBasedSANN2Candidates, + realGraphInNetworkBasedUagCandidates, + interestedInSANN1Candidates, + interestedInSANN2Candidates, + consumerTwHINAdsCandidates, + consumerBasedWalsCandidates, + )).map(_.flatten).map { tweetsWithCGInfoSeq => + Future.collect( + tweetsWithCGInfoSeq.map(candidates => convertToInitialCandidates(candidates, stats))) + }.flatten.map { candidatesLists => + val result = candidatesLists.filter(_.nonEmpty) + stats.stat("numOfSequences").add(result.size) + stats.stat("flattenCandidatesWithDup").add(result.flatten.size) + result + } + } + + private[candidate_generation] def convertToInitialCandidates( + candidates: Seq[TweetWithCandidateGenerationInfo], + stats: StatsReceiver + ): Future[Seq[InitialAdsCandidate]] = { + val tweetIds = candidates.map(_.tweetId).toSet + stats.stat("initialCandidateSizeBeforeLineItemFilter").add(tweetIds.size) + Future.collect(activePromotedTweetStore.multiGet(tweetIds)).map { lineItemInfos => + /** * + * If lineItemInfo does not exist, we will filter out the promoted tweet as it cannot be targeted and ranked in admixer + */ + val filteredCandidates = candidates.collect { + case candidate if lineItemInfos.getOrElse(candidate.tweetId, None).isDefined => + val lineItemInfo = lineItemInfos(candidate.tweetId) + .getOrElse(throw new IllegalStateException("Check previous line's condition")) + + InitialAdsCandidate( + tweetId = candidate.tweetId, + lineItemInfo = lineItemInfo, + candidate.candidateGenerationInfo + ) + } + stats.stat("initialCandidateSizeAfterLineItemFilter").add(filteredCandidates.size) + filteredCandidates + } + } + + private[candidate_generation] def getSimClustersANNCandidates( + requestUserId: UserId, + sourceInfo: Option[SourceInfo], + params: configapi.Params, + configId: String, + minScore: Double + ) = { + + val simClustersModelVersion = + ModelVersions.Enum.enumToSimClustersModelVersionMap(params(GlobalParams.ModelVersionParam)) + + val embeddingType = + if (sourceInfo.isEmpty) { + params(InterestedInParams.InterestedInEmbeddingIdParam).embeddingType + } else getSimClustersANNEmbeddingType(sourceInfo.get) + val query = SimClustersANNSimilarityEngine.fromParams( + if (sourceInfo.isEmpty) InternalId.UserId(requestUserId) else sourceInfo.get.internalId, + embeddingType, + simClustersModelVersion, + configId, + params + ) + + // dark traffic to simclusters-ann-2 + if (decider.isAvailable(DeciderConstants.enableSimClustersANN2DarkTrafficDeciderKey)) { + val simClustersANN2ConfigId = params(SimClustersANNParams.SimClustersANN2ConfigId) + val sann2Query = SimClustersANNSimilarityEngine.fromParams( + if (sourceInfo.isEmpty) InternalId.UserId(requestUserId) else sourceInfo.get.internalId, + embeddingType, + simClustersModelVersion, + simClustersANN2ConfigId, + params + ) + simClustersANNSimilarityEngine + .getCandidates(sann2Query) + } + + simClustersANNSimilarityEngine + .getCandidates(query).map(_.getOrElse(Seq.empty)).map(_.filter(_.score > minScore).map { + tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + sourceInfo, + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + }) + } + + private[candidate_generation] def getProducerBasedUserAdGraphCandidates( + sourceInfo: Option[SourceInfo], + params: configapi.Params + ) = { + + val query = ProducerBasedUserAdGraphSimilarityEngine.fromParams( + sourceInfo.get.internalId, + params + ) + producerBasedUserAdGraphSimilarityEngine + .getCandidates(query).map(_.getOrElse(Seq.empty)).map(_.map { tweetWithScore => + val similarityEngineInfo = ProducerBasedUserAdGraphSimilarityEngine + .toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + sourceInfo, + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + }) + } + + private[candidate_generation] def getTweetBasedUserAdGraphCandidates( + sourceInfo: Option[SourceInfo], + params: configapi.Params + ) = { + + val query = TweetBasedUserAdGraphSimilarityEngine.fromParams( + sourceInfo.get.internalId, + params + ) + tweetBasedUserAdGraphSimilarityEngine + .getCandidates(query).map(_.getOrElse(Seq.empty)).map(_.map { tweetWithScore => + val similarityEngineInfo = TweetBasedUserAdGraphSimilarityEngine + .toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + sourceInfo, + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + }) + } + + private[candidate_generation] def getRealGraphConsumersBasedUserAdGraphCandidates( + realGraphSeeds: Map[UserId, Double], + params: configapi.Params + ) = { + + val query = ConsumersBasedUserAdGraphSimilarityEngine + .fromParams(realGraphSeeds, params) + + // The internalId is a placeholder value. We do not plan to store the full seedUserId set. + val sourceInfo = SourceInfo( + sourceType = SourceType.RealGraphIn, + internalId = InternalId.UserId(0L), + sourceEventTime = None + ) + consumersBasedUserAdGraphSimilarityEngine + .getCandidates(query).map(_.getOrElse(Seq.empty)).map(_.map { tweetWithScore => + val similarityEngineInfo = ConsumersBasedUserAdGraphSimilarityEngine + .toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(sourceInfo), + similarityEngineInfo, + Seq.empty // Atomic Similarity Engine. Hence it has no contributing SEs + ) + ) + }) + } + + private[candidate_generation] def getTwHINAdsCandidates( + similarityEngine: HnswANNSimilarityEngine, + similarityEngineType: SimilarityEngineType, + requestUserId: UserId, + sourceInfo: Option[SourceInfo], // if none, then it's consumer-based similarity engine + model: String + ): Future[Seq[TweetWithCandidateGenerationInfo]] = { + val internalId = + if (sourceInfo.nonEmpty) sourceInfo.get.internalId else InternalId.UserId(requestUserId) + similarityEngine + .getCandidates(buildHnswANNQuery(internalId, model)).map(_.getOrElse(Seq.empty)).map(_.map { + tweetWithScore => + val similarityEngineInfo = SimilarityEngineInfo( + similarityEngineType = similarityEngineType, + modelId = Some(model), + score = Some(tweetWithScore.score)) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + None, + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + }) + } + + private[candidate_generation] def getConsumerBasedWalsCandidates( + sourceSignals: Set[SourceInfo], + params: configapi.Params + ): Future[Seq[TweetWithCandidateGenerationInfo]] = { + // Fetch source signals and filter them based on age. + val signals = FilterUtil.tweetSourceAgeFilter( + getConsumerBasedWalsSourceInfo(sourceSignals).toSeq, + params(ConsumerBasedWalsParams.MaxTweetSignalAgeHoursParam)) + + val candidatesOptFut = consumerBasedWalsSimilarityEngine.getCandidates( + ConsumerBasedWalsSimilarityEngine.fromParams(signals, params) + ) + val tweetsWithCandidateGenerationInfoOptFut = candidatesOptFut.map { + _.map { tweetsWithScores => + val sortedCandidates = tweetsWithScores.sortBy(-_.score) + val filteredCandidates = + FilterUtil.tweetAgeFilter(sortedCandidates, params(GlobalParams.MaxTweetAgeHoursParam)) + consumerBasedWalsSimilarityEngine.getScopedStats + .stat("filteredCandidates_size").add(filteredCandidates.size) + + val tweetsWithCandidateGenerationInfo = filteredCandidates.map { tweetWithScore => + { + val similarityEngineInfo = + ConsumerBasedWalsSimilarityEngine.toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + None, + similarityEngineInfo, + Seq.empty // Atomic Similarity Engine. Hence it has no contributing SEs + ) + ) + } + } + val maxCandidateNum = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + tweetsWithCandidateGenerationInfo.take(maxCandidateNum) + } + } + for { + tweetsWithCandidateGenerationInfoOpt <- tweetsWithCandidateGenerationInfoOptFut + } yield tweetsWithCandidateGenerationInfoOpt.toSeq.flatten + } +} + +object AdsCandidateSourcesRouter { + def getSimClustersANNEmbeddingType( + sourceInfo: SourceInfo + ): EmbeddingType = { + sourceInfo.sourceType match { + case SourceType.TweetFavorite | SourceType.Retweet | SourceType.OriginalTweet | + SourceType.Reply | SourceType.TweetShare | SourceType.NotificationClick | + SourceType.GoodTweetClick | SourceType.VideoTweetQualityView | + SourceType.VideoTweetPlayback50 => + EmbeddingType.LogFavLongestL2EmbeddingTweet + case SourceType.UserFollow | SourceType.UserRepeatedProfileVisit | SourceType.RealGraphOon | + SourceType.FollowRecommendation | SourceType.UserTrafficAttributionProfileVisit | + SourceType.GoodProfileClick | SourceType.TwiceUserId => + EmbeddingType.FavBasedProducer + case _ => throw new IllegalArgumentException("sourceInfo.sourceType not supported") + } + } + + def buildHnswANNQuery(internalId: InternalId, modelId: String): HnswANNEngineQuery = { + HnswANNEngineQuery( + sourceId = internalId, + modelId = modelId, + params = Params.Empty + ) + } + + def getConsumerBasedWalsSourceInfo( + sourceSignals: Set[SourceInfo] + ): Set[SourceInfo] = { + val AllowedSourceTypesForConsumerBasedWalsSE = Set( + SourceType.TweetFavorite.value, + SourceType.Retweet.value, + SourceType.TweetDontLike.value, //currently no-op + SourceType.TweetReport.value, //currently no-op + SourceType.AccountMute.value, //currently no-op + SourceType.AccountBlock.value //currently no-op + ) + sourceSignals.collect { + case sourceInfo + if AllowedSourceTypesForConsumerBasedWalsSE.contains(sourceInfo.sourceType.value) => + sourceInfo + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/BUILD new file mode 100644 index 000000000..f1b6e6980 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/BUILD @@ -0,0 +1,51 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/src/jvm/com/twitter/storehaus:core", + "ann/src/main/scala/com/twitter/ann/hnsw", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "configapi/configapi-core", + "content-recommender/thrift/src/main/thrift:thrift-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/blender", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "cuad/projects/hashspace/thrift:thrift-scala", + "decider/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "frigate/frigate-common:base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/candidate", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/util:stats_util", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/constants", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/model", + "simclusters-ann/thrift/src/main/thrift:thrift-scala", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "src/scala/com/twitter/ml/featurestore/lib", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/frigate/data_pipeline/scalding:blue_verified_annotations-scala", + "src/thrift/com/twitter/ml/api:embedding-scala", + "src/thrift/com/twitter/recos/user_tweet_graph:user_tweet_graph-scala", + "src/thrift/com/twitter/recos/user_tweet_graph_plus:user_tweet_graph_plus-scala", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/search/query_interaction_graph/service:qig-service-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + "strato/config/columns/cuad/hashspace:hashspace-strato-client", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CandidateSourcesRouter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CandidateSourcesRouter.scala new file mode 100644 index 000000000..49cc37bde --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CandidateSourcesRouter.scala @@ -0,0 +1,536 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.GraphSourceInfo +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.model.TripTweetWithScore +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.model.TweetWithScoreAndSocialProof +import com.twitter.cr_mixer.param.ConsumerBasedWalsParams +import com.twitter.cr_mixer.param.ConsumerEmbeddingBasedCandidateGenerationParams +import com.twitter.cr_mixer.param.ConsumersBasedUserVideoGraphParams +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.similarity_engine.ConsumersBasedUserVideoGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.ConsumerBasedWalsSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.ConsumerEmbeddingBasedTripSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.ConsumerEmbeddingBasedTwHINSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.ConsumerEmbeddingBasedTwoTowerSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.EngineQuery +import com.twitter.cr_mixer.similarity_engine.FilterUtil +import com.twitter.cr_mixer.similarity_engine.HnswANNEngineQuery +import com.twitter.cr_mixer.similarity_engine.HnswANNSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.ProducerBasedUnifiedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TripEngineQuery +import com.twitter.cr_mixer.similarity_engine.TweetBasedUnifiedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.UserTweetEntityGraphSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/** + * Route the SourceInfo to the associated Candidate Engines. + */ +@Singleton +case class CandidateSourcesRouter @Inject() ( + customizedRetrievalCandidateGeneration: CustomizedRetrievalCandidateGeneration, + simClustersInterestedInCandidateGeneration: SimClustersInterestedInCandidateGeneration, + @Named(ModuleNames.TweetBasedUnifiedSimilarityEngine) + tweetBasedUnifiedSimilarityEngine: StandardSimilarityEngine[ + TweetBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ], + @Named(ModuleNames.ProducerBasedUnifiedSimilarityEngine) + producerBasedUnifiedSimilarityEngine: StandardSimilarityEngine[ + ProducerBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ], + @Named(ModuleNames.ConsumerEmbeddingBasedTripSimilarityEngine) + consumerEmbeddingBasedTripSimilarityEngine: StandardSimilarityEngine[ + TripEngineQuery, + TripTweetWithScore + ], + @Named(ModuleNames.ConsumerEmbeddingBasedTwHINANNSimilarityEngine) + consumerBasedTwHINANNSimilarityEngine: HnswANNSimilarityEngine, + @Named(ModuleNames.ConsumerEmbeddingBasedTwoTowerANNSimilarityEngine) + consumerBasedTwoTowerSimilarityEngine: HnswANNSimilarityEngine, + @Named(ModuleNames.ConsumersBasedUserVideoGraphSimilarityEngine) + consumersBasedUserVideoGraphSimilarityEngine: StandardSimilarityEngine[ + ConsumersBasedUserVideoGraphSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.UserTweetEntityGraphSimilarityEngine) userTweetEntityGraphSimilarityEngine: StandardSimilarityEngine[ + UserTweetEntityGraphSimilarityEngine.Query, + TweetWithScoreAndSocialProof + ], + @Named(ModuleNames.ConsumerBasedWalsSimilarityEngine) + consumerBasedWalsSimilarityEngine: StandardSimilarityEngine[ + ConsumerBasedWalsSimilarityEngine.Query, + TweetWithScore + ], + tweetInfoStore: ReadableStore[TweetId, TweetInfo], + globalStats: StatsReceiver, +) { + + import CandidateSourcesRouter._ + val stats: StatsReceiver = globalStats.scope(this.getClass.getSimpleName) + + def fetchCandidates( + requestUserId: UserId, + sourceSignals: Set[SourceInfo], + sourceGraphs: Map[String, Option[GraphSourceInfo]], + params: configapi.Params, + ): Future[Seq[Seq[InitialCandidate]]] = { + + val tweetBasedCandidatesFuture = getCandidates( + getTweetBasedSourceInfo(sourceSignals), + params, + TweetBasedUnifiedSimilarityEngine.fromParams, + tweetBasedUnifiedSimilarityEngine.getCandidates) + + val producerBasedCandidatesFuture = + getCandidates( + getProducerBasedSourceInfo(sourceSignals), + params, + ProducerBasedUnifiedSimilarityEngine.fromParams(_, _), + producerBasedUnifiedSimilarityEngine.getCandidates + ) + + val simClustersInterestedInBasedCandidatesFuture = + getCandidatesPerSimilarityEngineModel( + requestUserId, + params, + SimClustersInterestedInCandidateGeneration.fromParams, + simClustersInterestedInCandidateGeneration.get) + + val consumerEmbeddingBasedLogFavBasedTripCandidatesFuture = + if (params( + ConsumerEmbeddingBasedCandidateGenerationParams.EnableLogFavBasedSimClustersTripParam)) { + getSimClustersTripCandidates( + params, + ConsumerEmbeddingBasedTripSimilarityEngine.fromParams( + ModelConfig.ConsumerLogFavBasedInterestedInEmbedding, + InternalId.UserId(requestUserId), + params + ), + consumerEmbeddingBasedTripSimilarityEngine + ).map { + Seq(_) + } + } else + Future.Nil + + val consumersBasedUvgRealGraphInCandidatesFuture = + if (params(ConsumersBasedUserVideoGraphParams.EnableSourceParam)) { + val realGraphInGraphSourceInfoOpt = + getGraphSourceInfoBySourceType(SourceType.RealGraphIn.name, sourceGraphs) + + getGraphBasedCandidates( + params, + ConsumersBasedUserVideoGraphSimilarityEngine + .fromParamsForRealGraphIn( + realGraphInGraphSourceInfoOpt + .map { graphSourceInfo => graphSourceInfo.seedWithScores }.getOrElse(Map.empty), + params), + consumersBasedUserVideoGraphSimilarityEngine, + ConsumersBasedUserVideoGraphSimilarityEngine.toSimilarityEngineInfo, + realGraphInGraphSourceInfoOpt + ).map { + Seq(_) + } + } else Future.Nil + + val consumerEmbeddingBasedFollowBasedTripCandidatesFuture = + if (params( + ConsumerEmbeddingBasedCandidateGenerationParams.EnableFollowBasedSimClustersTripParam)) { + getSimClustersTripCandidates( + params, + ConsumerEmbeddingBasedTripSimilarityEngine.fromParams( + ModelConfig.ConsumerFollowBasedInterestedInEmbedding, + InternalId.UserId(requestUserId), + params + ), + consumerEmbeddingBasedTripSimilarityEngine + ).map { + Seq(_) + } + } else + Future.Nil + + val consumerBasedWalsCandidatesFuture = + if (params( + ConsumerBasedWalsParams.EnableSourceParam + )) { + getConsumerBasedWalsCandidates(sourceSignals, params) + }.map { Seq(_) } + else Future.Nil + + val consumerEmbeddingBasedTwHINCandidatesFuture = + if (params(ConsumerEmbeddingBasedCandidateGenerationParams.EnableTwHINParam)) { + getHnswCandidates( + params, + ConsumerEmbeddingBasedTwHINSimilarityEngine.fromParams( + InternalId.UserId(requestUserId), + params), + consumerBasedTwHINANNSimilarityEngine + ).map { Seq(_) } + } else Future.Nil + + val consumerEmbeddingBasedTwoTowerCandidatesFuture = + if (params(ConsumerEmbeddingBasedCandidateGenerationParams.EnableTwoTowerParam)) { + getHnswCandidates( + params, + ConsumerEmbeddingBasedTwoTowerSimilarityEngine.fromParams( + InternalId.UserId(requestUserId), + params), + consumerBasedTwoTowerSimilarityEngine + ).map { + Seq(_) + } + } else Future.Nil + + val customizedRetrievalBasedCandidatesFuture = + getCandidatesPerSimilarityEngineModel( + requestUserId, + params, + CustomizedRetrievalCandidateGeneration.fromParams, + customizedRetrievalCandidateGeneration.get) + + Future + .collect( + Seq( + tweetBasedCandidatesFuture, + producerBasedCandidatesFuture, + simClustersInterestedInBasedCandidatesFuture, + consumerBasedWalsCandidatesFuture, + consumerEmbeddingBasedLogFavBasedTripCandidatesFuture, + consumerEmbeddingBasedFollowBasedTripCandidatesFuture, + consumerEmbeddingBasedTwHINCandidatesFuture, + consumerEmbeddingBasedTwoTowerCandidatesFuture, + consumersBasedUvgRealGraphInCandidatesFuture, + customizedRetrievalBasedCandidatesFuture + )).map { candidatesList => + // remove empty innerSeq + val result = candidatesList.flatten.filter(_.nonEmpty) + stats.stat("numOfSequences").add(result.size) + stats.stat("flattenCandidatesWithDup").add(result.flatten.size) + + result + } + } + + private def getGraphBasedCandidates[QueryType]( + params: configapi.Params, + query: EngineQuery[QueryType], + engine: StandardSimilarityEngine[QueryType, TweetWithScore], + toSimilarityEngineInfo: Double => SimilarityEngineInfo, + graphSourceInfoOpt: Option[GraphSourceInfo] = None + ): Future[Seq[InitialCandidate]] = { + val candidatesOptFut = engine.getCandidates(query) + val tweetsWithCandidateGenerationInfoOptFut = candidatesOptFut.map { + _.map { tweetsWithScores => + val sortedCandidates = tweetsWithScores.sortBy(-_.score) + engine.getScopedStats.stat("sortedCandidates_size").add(sortedCandidates.size) + val tweetsWithCandidateGenerationInfo = sortedCandidates.map { tweetWithScore => + { + val similarityEngineInfo = toSimilarityEngineInfo(tweetWithScore.score) + val sourceInfo = graphSourceInfoOpt.map { graphSourceInfo => + // The internalId is a placeholder value. We do not plan to store the full seedUserId set. + SourceInfo( + sourceType = graphSourceInfo.sourceType, + internalId = InternalId.UserId(0L), + sourceEventTime = None + ) + } + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + sourceInfo, + similarityEngineInfo, + Seq.empty // Atomic Similarity Engine. Hence it has no contributing SEs + ) + ) + } + } + val maxCandidateNum = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + tweetsWithCandidateGenerationInfo.take(maxCandidateNum) + } + } + for { + tweetsWithCandidateGenerationInfoOpt <- tweetsWithCandidateGenerationInfoOptFut + initialCandidates <- convertToInitialCandidates( + tweetsWithCandidateGenerationInfoOpt.toSeq.flatten) + } yield initialCandidates + } + + private def getCandidates[QueryType]( + sourceSignals: Set[SourceInfo], + params: configapi.Params, + fromParams: (SourceInfo, configapi.Params) => QueryType, + getFunc: QueryType => Future[Option[Seq[TweetWithCandidateGenerationInfo]]] + ): Future[Seq[Seq[InitialCandidate]]] = { + val queries = sourceSignals.map { sourceInfo => + fromParams(sourceInfo, params) + }.toSeq + + Future + .collect { + queries.map { query => + for { + candidates <- getFunc(query) + prefilterCandidates <- convertToInitialCandidates(candidates.toSeq.flatten) + } yield { + prefilterCandidates + } + } + } + } + + private def getConsumerBasedWalsCandidates( + sourceSignals: Set[SourceInfo], + params: configapi.Params + ): Future[Seq[InitialCandidate]] = { + // Fetch source signals and filter them based on age. + val signals = FilterUtil.tweetSourceAgeFilter( + getConsumerBasedWalsSourceInfo(sourceSignals).toSeq, + params(ConsumerBasedWalsParams.MaxTweetSignalAgeHoursParam)) + + val candidatesOptFut = consumerBasedWalsSimilarityEngine.getCandidates( + ConsumerBasedWalsSimilarityEngine.fromParams(signals, params) + ) + val tweetsWithCandidateGenerationInfoOptFut = candidatesOptFut.map { + _.map { tweetsWithScores => + val sortedCandidates = tweetsWithScores.sortBy(-_.score) + val filteredCandidates = + FilterUtil.tweetAgeFilter(sortedCandidates, params(GlobalParams.MaxTweetAgeHoursParam)) + consumerBasedWalsSimilarityEngine.getScopedStats + .stat("filteredCandidates_size").add(filteredCandidates.size) + + val tweetsWithCandidateGenerationInfo = filteredCandidates.map { tweetWithScore => + { + val similarityEngineInfo = + ConsumerBasedWalsSimilarityEngine.toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + None, + similarityEngineInfo, + Seq.empty // Atomic Similarity Engine. Hence it has no contributing SEs + ) + ) + } + } + val maxCandidateNum = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + tweetsWithCandidateGenerationInfo.take(maxCandidateNum) + } + } + for { + tweetsWithCandidateGenerationInfoOpt <- tweetsWithCandidateGenerationInfoOptFut + initialCandidates <- convertToInitialCandidates( + tweetsWithCandidateGenerationInfoOpt.toSeq.flatten) + } yield initialCandidates + } + + private def getSimClustersTripCandidates( + params: configapi.Params, + query: TripEngineQuery, + engine: StandardSimilarityEngine[ + TripEngineQuery, + TripTweetWithScore + ], + ): Future[Seq[InitialCandidate]] = { + val tweetsWithCandidatesGenerationInfoOptFut = + engine.getCandidates(EngineQuery(query, params)).map { + _.map { + _.map { tweetWithScore => + // define filters + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + None, + SimilarityEngineInfo( + SimilarityEngineType.ExploreTripOfflineSimClustersTweets, + None, + Some(tweetWithScore.score)), + Seq.empty + ) + ) + } + } + } + for { + tweetsWithCandidateGenerationInfoOpt <- tweetsWithCandidatesGenerationInfoOptFut + initialCandidates <- convertToInitialCandidates( + tweetsWithCandidateGenerationInfoOpt.toSeq.flatten) + } yield initialCandidates + } + + private def getHnswCandidates( + params: configapi.Params, + query: HnswANNEngineQuery, + engine: HnswANNSimilarityEngine, + ): Future[Seq[InitialCandidate]] = { + val candidatesOptFut = engine.getCandidates(query) + val tweetsWithCandidateGenerationInfoOptFut = candidatesOptFut.map { + _.map { tweetsWithScores => + val sortedCandidates = tweetsWithScores.sortBy(-_.score) + val filteredCandidates = + FilterUtil.tweetAgeFilter(sortedCandidates, params(GlobalParams.MaxTweetAgeHoursParam)) + engine.getScopedStats.stat("filteredCandidates_size").add(filteredCandidates.size) + val tweetsWithCandidateGenerationInfo = filteredCandidates.map { tweetWithScore => + { + val similarityEngineInfo = + engine.toSimilarityEngineInfo(query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + None, + similarityEngineInfo, + Seq.empty // Atomic Similarity Engine. Hence it has no contributing SEs + ) + ) + } + } + val maxCandidateNum = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + tweetsWithCandidateGenerationInfo.take(maxCandidateNum) + } + } + for { + tweetsWithCandidateGenerationInfoOpt <- tweetsWithCandidateGenerationInfoOptFut + initialCandidates <- convertToInitialCandidates( + tweetsWithCandidateGenerationInfoOpt.toSeq.flatten) + } yield initialCandidates + } + + /** + * Returns candidates from each similarity engine separately. + * For 1 requestUserId, it will fetch results from each similarity engine e_i, + * and returns Seq[Seq[TweetCandidate]]. + */ + private def getCandidatesPerSimilarityEngineModel[QueryType]( + requestUserId: UserId, + params: configapi.Params, + fromParams: (InternalId, configapi.Params) => QueryType, + getFunc: QueryType => Future[ + Option[Seq[Seq[TweetWithCandidateGenerationInfo]]] + ] + ): Future[Seq[Seq[InitialCandidate]]] = { + val query = fromParams(InternalId.UserId(requestUserId), params) + getFunc(query).flatMap { candidatesPerSimilarityEngineModelOpt => + val candidatesPerSimilarityEngineModel = candidatesPerSimilarityEngineModelOpt.toSeq.flatten + Future.collect { + candidatesPerSimilarityEngineModel.map(convertToInitialCandidates) + } + } + } + + private[candidate_generation] def convertToInitialCandidates( + candidates: Seq[TweetWithCandidateGenerationInfo], + ): Future[Seq[InitialCandidate]] = { + val tweetIds = candidates.map(_.tweetId).toSet + Future.collect(tweetInfoStore.multiGet(tweetIds)).map { tweetInfos => + /*** + * If tweetInfo does not exist, we will filter out this tweet candidate. + */ + candidates.collect { + case candidate if tweetInfos.getOrElse(candidate.tweetId, None).isDefined => + val tweetInfo = tweetInfos(candidate.tweetId) + .getOrElse(throw new IllegalStateException("Check previous line's condition")) + + InitialCandidate( + tweetId = candidate.tweetId, + tweetInfo = tweetInfo, + candidate.candidateGenerationInfo + ) + } + } + } +} + +object CandidateSourcesRouter { + def getGraphSourceInfoBySourceType( + sourceTypeStr: String, + sourceGraphs: Map[String, Option[GraphSourceInfo]] + ): Option[GraphSourceInfo] = { + sourceGraphs.getOrElse(sourceTypeStr, None) + } + + def getTweetBasedSourceInfo( + sourceSignals: Set[SourceInfo] + ): Set[SourceInfo] = { + sourceSignals.collect { + case sourceInfo + if AllowedSourceTypesForTweetBasedUnifiedSE.contains(sourceInfo.sourceType.value) => + sourceInfo + } + } + + def getProducerBasedSourceInfo( + sourceSignals: Set[SourceInfo] + ): Set[SourceInfo] = { + sourceSignals.collect { + case sourceInfo + if AllowedSourceTypesForProducerBasedUnifiedSE.contains(sourceInfo.sourceType.value) => + sourceInfo + } + } + + def getConsumerBasedWalsSourceInfo( + sourceSignals: Set[SourceInfo] + ): Set[SourceInfo] = { + sourceSignals.collect { + case sourceInfo + if AllowedSourceTypesForConsumerBasedWalsSE.contains(sourceInfo.sourceType.value) => + sourceInfo + } + } + + /*** + * Signal funneling should not exist in CG or even in any SimilarityEngine. + * They will be in Router, or eventually, in CrCandidateGenerator. + */ + val AllowedSourceTypesForConsumerBasedWalsSE = Set( + SourceType.TweetFavorite.value, + SourceType.Retweet.value, + SourceType.TweetDontLike.value, //currently no-op + SourceType.TweetReport.value, //currently no-op + SourceType.AccountMute.value, //currently no-op + SourceType.AccountBlock.value //currently no-op + ) + val AllowedSourceTypesForTweetBasedUnifiedSE = Set( + SourceType.TweetFavorite.value, + SourceType.Retweet.value, + SourceType.OriginalTweet.value, + SourceType.Reply.value, + SourceType.TweetShare.value, + SourceType.NotificationClick.value, + SourceType.GoodTweetClick.value, + SourceType.VideoTweetQualityView.value, + SourceType.VideoTweetPlayback50.value, + SourceType.TweetAggregation.value, + ) + val AllowedSourceTypesForProducerBasedUnifiedSE = Set( + SourceType.UserFollow.value, + SourceType.UserRepeatedProfileVisit.value, + SourceType.RealGraphOon.value, + SourceType.FollowRecommendation.value, + SourceType.UserTrafficAttributionProfileVisit.value, + SourceType.GoodProfileClick.value, + SourceType.ProducerAggregation.value, + ) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CrCandidateGenerator.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CrCandidateGenerator.scala new file mode 100644 index 000000000..c69d0c4f2 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CrCandidateGenerator.scala @@ -0,0 +1,350 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.cr_mixer.blender.SwitchBlender +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.filter.PostRankFilterRunner +import com.twitter.cr_mixer.filter.PreRankFilterRunner +import com.twitter.cr_mixer.logging.CrMixerScribeLogger +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.GraphSourceInfo +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.param.RankerParams +import com.twitter.cr_mixer.param.RecentNegativeSignalParams +import com.twitter.cr_mixer.ranker.SwitchRanker +import com.twitter.cr_mixer.source_signal.SourceInfoRouter +import com.twitter.cr_mixer.source_signal.UssStore.EnabledNegativeSourceTypes +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.util.Future +import com.twitter.util.JavaTimer +import com.twitter.util.Timer + +import javax.inject.Inject +import javax.inject.Singleton + +/** + * For now it performs the main steps as follows: + * 1. Source signal (via USS, FRS) fetch + * 2. Candidate generation + * 3. Filtering + * 4. Interleave blender + * 5. Ranker + * 6. Post-ranker filter + * 7. Truncation + */ +@Singleton +class CrCandidateGenerator @Inject() ( + sourceInfoRouter: SourceInfoRouter, + candidateSourceRouter: CandidateSourcesRouter, + switchBlender: SwitchBlender, + preRankFilterRunner: PreRankFilterRunner, + postRankFilterRunner: PostRankFilterRunner, + switchRanker: SwitchRanker, + crMixerScribeLogger: CrMixerScribeLogger, + timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver) { + private val timer: Timer = new JavaTimer(true) + + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + + private val fetchSourcesStats = stats.scope("fetchSources") + private val fetchPositiveSourcesStats = stats.scope("fetchPositiveSources") + private val fetchNegativeSourcesStats = stats.scope("fetchNegativeSources") + private val fetchCandidatesStats = stats.scope("fetchCandidates") + private val fetchCandidatesAfterFilterStats = stats.scope("fetchCandidatesAfterFilter") + private val preRankFilterStats = stats.scope("preRankFilter") + private val interleaveStats = stats.scope("interleave") + private val rankStats = stats.scope("rank") + private val postRankFilterStats = stats.scope("postRankFilter") + private val blueVerifiedTweetStats = stats.scope("blueVerifiedTweetStats") + private val blueVerifiedTweetStatsPerSimilarityEngine = + stats.scope("blueVerifiedTweetStatsPerSimilarityEngine") + + def get(query: CrCandidateGeneratorQuery): Future[Seq[RankedCandidate]] = { + val allStats = stats.scope("all") + val perProductStats = stats.scope("perProduct", query.product.toString) + val perProductBlueVerifiedStats = + blueVerifiedTweetStats.scope("perProduct", query.product.toString) + + StatsUtil.trackItemsStats(allStats) { + trackResultStats(perProductStats) { + StatsUtil.trackItemsStats(perProductStats) { + val result = for { + (sourceSignals, sourceGraphsMap) <- StatsUtil.trackBlockStats(fetchSourcesStats) { + fetchSources(query) + } + initialCandidates <- StatsUtil.trackBlockStats(fetchCandidatesAfterFilterStats) { + // find the positive and negative signals + val (positiveSignals, negativeSignals) = sourceSignals.partition { signal => + !EnabledNegativeSourceTypes.contains(signal.sourceType) + } + fetchPositiveSourcesStats.stat("size").add(positiveSignals.size) + fetchNegativeSourcesStats.stat("size").add(negativeSignals.size) + + // find the positive signals to keep, removing block and muted users + val filteredSourceInfo = + if (negativeSignals.nonEmpty && query.params( + RecentNegativeSignalParams.EnableSourceParam)) { + filterSourceInfo(positiveSignals, negativeSignals) + } else { + positiveSignals + } + + // fetch candidates from the positive signals + StatsUtil.trackBlockStats(fetchCandidatesStats) { + fetchCandidates(query, filteredSourceInfo, sourceGraphsMap) + } + } + filteredCandidates <- StatsUtil.trackBlockStats(preRankFilterStats) { + preRankFilter(query, initialCandidates) + } + interleavedCandidates <- StatsUtil.trackItemsStats(interleaveStats) { + interleave(query, filteredCandidates) + } + rankedCandidates <- StatsUtil.trackItemsStats(rankStats) { + val candidatesToRank = + interleavedCandidates.take(query.params(RankerParams.MaxCandidatesToRank)) + rank(query, candidatesToRank) + } + postRankFilterCandidates <- StatsUtil.trackItemsStats(postRankFilterStats) { + postRankFilter(query, rankedCandidates) + } + } yield { + trackTopKStats( + 800, + postRankFilterCandidates, + isQueryK = false, + perProductBlueVerifiedStats) + trackTopKStats( + 400, + postRankFilterCandidates, + isQueryK = false, + perProductBlueVerifiedStats) + trackTopKStats( + query.maxNumResults, + postRankFilterCandidates, + isQueryK = true, + perProductBlueVerifiedStats) + + val (blueVerifiedTweets, remainingTweets) = + postRankFilterCandidates.partition( + _.tweetInfo.hasBlueVerifiedAnnotation.contains(true)) + val topKBlueVerified = blueVerifiedTweets.take(query.maxNumResults) + val topKRemaining = remainingTweets.take(query.maxNumResults - topKBlueVerified.size) + + trackBlueVerifiedTweetStats(topKBlueVerified, perProductBlueVerifiedStats) + + if (topKBlueVerified.nonEmpty && query.params(RankerParams.EnableBlueVerifiedTopK)) { + topKBlueVerified ++ topKRemaining + } else { + postRankFilterCandidates + } + } + result.raiseWithin(timeoutConfig.serviceTimeout)(timer) + } + } + } + } + + private def fetchSources( + query: CrCandidateGeneratorQuery + ): Future[(Set[SourceInfo], Map[String, Option[GraphSourceInfo]])] = { + crMixerScribeLogger.scribeSignalSources( + query, + sourceInfoRouter + .get(query.userId, query.product, query.userState, query.params)) + } + + private def filterSourceInfo( + positiveSignals: Set[SourceInfo], + negativeSignals: Set[SourceInfo] + ): Set[SourceInfo] = { + val filterUsers: Set[Long] = negativeSignals.flatMap { + case SourceInfo(_, InternalId.UserId(userId), _) => Some(userId) + case _ => None + } + + positiveSignals.filter { + case SourceInfo(_, InternalId.UserId(userId), _) => !filterUsers.contains(userId) + case _ => true + } + } + + def fetchCandidates( + query: CrCandidateGeneratorQuery, + sourceSignals: Set[SourceInfo], + sourceGraphs: Map[String, Option[GraphSourceInfo]] + ): Future[Seq[Seq[InitialCandidate]]] = { + val initialCandidates = candidateSourceRouter + .fetchCandidates( + query.userId, + sourceSignals, + sourceGraphs, + query.params + ) + + initialCandidates.map(_.flatten.map { candidate => + if (candidate.tweetInfo.hasBlueVerifiedAnnotation.contains(true)) { + blueVerifiedTweetStatsPerSimilarityEngine + .scope(query.product.toString).scope( + candidate.candidateGenerationInfo.contributingSimilarityEngines.head.similarityEngineType.toString).counter( + candidate.tweetInfo.authorId.toString).incr() + } + }) + + crMixerScribeLogger.scribeInitialCandidates( + query, + initialCandidates + ) + } + + private def preRankFilter( + query: CrCandidateGeneratorQuery, + candidates: Seq[Seq[InitialCandidate]] + ): Future[Seq[Seq[InitialCandidate]]] = { + crMixerScribeLogger.scribePreRankFilterCandidates( + query, + preRankFilterRunner + .runSequentialFilters(query, candidates)) + } + + private def postRankFilter( + query: CrCandidateGeneratorQuery, + candidates: Seq[RankedCandidate] + ): Future[Seq[RankedCandidate]] = { + postRankFilterRunner.run(query, candidates) + } + + private def interleave( + query: CrCandidateGeneratorQuery, + candidates: Seq[Seq[InitialCandidate]] + ): Future[Seq[BlendedCandidate]] = { + crMixerScribeLogger.scribeInterleaveCandidates( + query, + switchBlender + .blend(query.params, query.userState, candidates)) + } + + private def rank( + query: CrCandidateGeneratorQuery, + candidates: Seq[BlendedCandidate], + ): Future[Seq[RankedCandidate]] = { + crMixerScribeLogger.scribeRankedCandidates( + query, + switchRanker.rank(query, candidates) + ) + } + + private def trackResultStats( + stats: StatsReceiver + )( + fn: => Future[Seq[RankedCandidate]] + ): Future[Seq[RankedCandidate]] = { + fn.onSuccess { candidates => + trackReasonChosenSourceTypeStats(candidates, stats) + trackReasonChosenSimilarityEngineStats(candidates, stats) + trackPotentialReasonsSourceTypeStats(candidates, stats) + trackPotentialReasonsSimilarityEngineStats(candidates, stats) + } + } + + private def trackReasonChosenSourceTypeStats( + candidates: Seq[RankedCandidate], + stats: StatsReceiver + ): Unit = { + candidates + .groupBy(_.reasonChosen.sourceInfoOpt.map(_.sourceType)) + .foreach { + case (sourceTypeOpt, rankedCands) => + val sourceType = sourceTypeOpt.map(_.toString).getOrElse("RequesterId") // default + stats.stat("reasonChosen", "sourceType", sourceType, "size").add(rankedCands.size) + } + } + + private def trackReasonChosenSimilarityEngineStats( + candidates: Seq[RankedCandidate], + stats: StatsReceiver + ): Unit = { + candidates + .groupBy(_.reasonChosen.similarityEngineInfo.similarityEngineType) + .foreach { + case (seInfoType, rankedCands) => + stats + .stat("reasonChosen", "similarityEngine", seInfoType.toString, "size").add( + rankedCands.size) + } + } + + private def trackPotentialReasonsSourceTypeStats( + candidates: Seq[RankedCandidate], + stats: StatsReceiver + ): Unit = { + candidates + .flatMap(_.potentialReasons.map(_.sourceInfoOpt.map(_.sourceType))) + .groupBy(source => source) + .foreach { + case (sourceInfoOpt, seq) => + val sourceType = sourceInfoOpt.map(_.toString).getOrElse("RequesterId") // default + stats.stat("potentialReasons", "sourceType", sourceType, "size").add(seq.size) + } + } + + private def trackPotentialReasonsSimilarityEngineStats( + candidates: Seq[RankedCandidate], + stats: StatsReceiver + ): Unit = { + candidates + .flatMap(_.potentialReasons.map(_.similarityEngineInfo.similarityEngineType)) + .groupBy(se => se) + .foreach { + case (seType, seq) => + stats.stat("potentialReasons", "similarityEngine", seType.toString, "size").add(seq.size) + } + } + + private def trackBlueVerifiedTweetStats( + candidates: Seq[RankedCandidate], + statsReceiver: StatsReceiver + ): Unit = { + candidates.foreach { candidate => + if (candidate.tweetInfo.hasBlueVerifiedAnnotation.contains(true)) { + statsReceiver.counter(candidate.tweetInfo.authorId.toString).incr() + statsReceiver + .scope(candidate.tweetInfo.authorId.toString).counter(candidate.tweetId.toString).incr() + } + } + } + + private def trackTopKStats( + k: Int, + tweetCandidates: Seq[RankedCandidate], + isQueryK: Boolean, + statsReceiver: StatsReceiver + ): Unit = { + val (topK, beyondK) = tweetCandidates.splitAt(k) + + val blueVerifiedIds = tweetCandidates.collect { + case candidate if candidate.tweetInfo.hasBlueVerifiedAnnotation.contains(true) => + candidate.tweetInfo.authorId + }.toSet + + blueVerifiedIds.foreach { blueVerifiedId => + val numTweetsTopK = topK.count(_.tweetInfo.authorId == blueVerifiedId) + val numTweetsBeyondK = beyondK.count(_.tweetInfo.authorId == blueVerifiedId) + + if (isQueryK) { + statsReceiver.scope(blueVerifiedId.toString).stat(s"topK").add(numTweetsTopK) + statsReceiver + .scope(blueVerifiedId.toString).stat(s"beyondK").add(numTweetsBeyondK) + } else { + statsReceiver.scope(blueVerifiedId.toString).stat(s"top$k").add(numTweetsTopK) + statsReceiver + .scope(blueVerifiedId.toString).stat(s"beyond$k").add(numTweetsBeyondK) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CustomizedRetrievalCandidateGeneration.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CustomizedRetrievalCandidateGeneration.scala new file mode 100644 index 000000000..427dd9b74 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/CustomizedRetrievalCandidateGeneration.scala @@ -0,0 +1,345 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.cr_mixer.candidate_generation.CustomizedRetrievalCandidateGeneration.Query +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.CustomizedRetrievalBasedCandidateGenerationParams._ +import com.twitter.cr_mixer.param.CustomizedRetrievalBasedTwhinParams._ +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.similarity_engine.DiffusionBasedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.LookupEngineQuery +import com.twitter.cr_mixer.similarity_engine.LookupSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TwhinCollabFilterSimilarityEngine +import com.twitter.cr_mixer.util.InterleaveUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.base.CandidateSource +import com.twitter.frigate.common.base.Stats +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.timelines.configapi +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.mutable.ArrayBuffer + +/** + * A candidate generator that fetches similar tweets from multiple customized retrieval based candidate sources + * + * Different from [[TweetBasedCandidateGeneration]], this store returns candidates from different + * similarity engines without blending. In other words, this class shall not be thought of as a + * Unified Similarity Engine. It is a CG that calls multiple singular Similarity Engines. + */ +@Singleton +case class CustomizedRetrievalCandidateGeneration @Inject() ( + @Named(ModuleNames.TwhinCollabFilterSimilarityEngine) + twhinCollabFilterSimilarityEngine: LookupSimilarityEngine[ + TwhinCollabFilterSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.DiffusionBasedSimilarityEngine) + diffusionBasedSimilarityEngine: LookupSimilarityEngine[ + DiffusionBasedSimilarityEngine.Query, + TweetWithScore + ], + statsReceiver: StatsReceiver) + extends CandidateSource[ + Query, + Seq[TweetWithCandidateGenerationInfo] + ] { + + override def name: String = this.getClass.getSimpleName + + private val stats = statsReceiver.scope(name) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + /** + * For each Similarity Engine Model, return a list of tweet candidates + */ + override def get( + query: Query + ): Future[Option[Seq[Seq[TweetWithCandidateGenerationInfo]]]] = { + query.internalId match { + case InternalId.UserId(_) => + Stats.trackOption(fetchCandidatesStat) { + val twhinCollabFilterForFollowCandidatesFut = if (query.enableTwhinCollabFilter) { + twhinCollabFilterSimilarityEngine.getCandidates(query.twhinCollabFilterFollowQuery) + } else Future.None + + val twhinCollabFilterForEngagementCandidatesFut = + if (query.enableTwhinCollabFilter) { + twhinCollabFilterSimilarityEngine.getCandidates( + query.twhinCollabFilterEngagementQuery) + } else Future.None + + val twhinMultiClusterForFollowCandidatesFut = if (query.enableTwhinMultiCluster) { + twhinCollabFilterSimilarityEngine.getCandidates(query.twhinMultiClusterFollowQuery) + } else Future.None + + val twhinMultiClusterForEngagementCandidatesFut = + if (query.enableTwhinMultiCluster) { + twhinCollabFilterSimilarityEngine.getCandidates( + query.twhinMultiClusterEngagementQuery) + } else Future.None + + val diffusionBasedSimilarityEngineCandidatesFut = if (query.enableRetweetBasedDiffusion) { + diffusionBasedSimilarityEngine.getCandidates(query.diffusionBasedSimilarityEngineQuery) + } else Future.None + + Future + .join( + twhinCollabFilterForFollowCandidatesFut, + twhinCollabFilterForEngagementCandidatesFut, + twhinMultiClusterForFollowCandidatesFut, + twhinMultiClusterForEngagementCandidatesFut, + diffusionBasedSimilarityEngineCandidatesFut + ).map { + case ( + twhinCollabFilterForFollowCandidates, + twhinCollabFilterForEngagementCandidates, + twhinMultiClusterForFollowCandidates, + twhinMultiClusterForEngagementCandidates, + diffusionBasedSimilarityEngineCandidates) => + val maxCandidateNumPerSourceKey = 200 + val twhinCollabFilterForFollowWithCGInfo = + getTwhinCollabCandidatesWithCGInfo( + twhinCollabFilterForFollowCandidates, + maxCandidateNumPerSourceKey, + query.twhinCollabFilterFollowQuery, + ) + val twhinCollabFilterForEngagementWithCGInfo = + getTwhinCollabCandidatesWithCGInfo( + twhinCollabFilterForEngagementCandidates, + maxCandidateNumPerSourceKey, + query.twhinCollabFilterEngagementQuery, + ) + val twhinMultiClusterForFollowWithCGInfo = + getTwhinCollabCandidatesWithCGInfo( + twhinMultiClusterForFollowCandidates, + maxCandidateNumPerSourceKey, + query.twhinMultiClusterFollowQuery, + ) + val twhinMultiClusterForEngagementWithCGInfo = + getTwhinCollabCandidatesWithCGInfo( + twhinMultiClusterForEngagementCandidates, + maxCandidateNumPerSourceKey, + query.twhinMultiClusterEngagementQuery, + ) + val retweetBasedDiffusionWithCGInfo = + getDiffusionBasedCandidatesWithCGInfo( + diffusionBasedSimilarityEngineCandidates, + maxCandidateNumPerSourceKey, + query.diffusionBasedSimilarityEngineQuery, + ) + + val twhinCollabCandidateSourcesToBeInterleaved = + ArrayBuffer[Seq[TweetWithCandidateGenerationInfo]]( + twhinCollabFilterForFollowWithCGInfo, + twhinCollabFilterForEngagementWithCGInfo, + ) + + val twhinMultiClusterCandidateSourcesToBeInterleaved = + ArrayBuffer[Seq[TweetWithCandidateGenerationInfo]]( + twhinMultiClusterForFollowWithCGInfo, + twhinMultiClusterForEngagementWithCGInfo, + ) + + val interleavedTwhinCollabCandidates = + InterleaveUtil.interleave(twhinCollabCandidateSourcesToBeInterleaved) + + val interleavedTwhinMultiClusterCandidates = + InterleaveUtil.interleave(twhinMultiClusterCandidateSourcesToBeInterleaved) + + val twhinCollabFilterResults = + if (interleavedTwhinCollabCandidates.nonEmpty) { + Some(interleavedTwhinCollabCandidates.take(maxCandidateNumPerSourceKey)) + } else None + + val twhinMultiClusterResults = + if (interleavedTwhinMultiClusterCandidates.nonEmpty) { + Some(interleavedTwhinMultiClusterCandidates.take(maxCandidateNumPerSourceKey)) + } else None + + val diffusionResults = + if (retweetBasedDiffusionWithCGInfo.nonEmpty) { + Some(retweetBasedDiffusionWithCGInfo.take(maxCandidateNumPerSourceKey)) + } else None + + Some( + Seq( + twhinCollabFilterResults, + twhinMultiClusterResults, + diffusionResults + ).flatten) + } + } + case _ => + throw new IllegalArgumentException("sourceId_is_not_userId_cnt") + } + } + + /** Returns a list of tweets that are generated less than `maxTweetAgeHours` hours ago */ + private def tweetAgeFilter( + candidates: Seq[TweetWithScore], + maxTweetAgeHours: Duration + ): Seq[TweetWithScore] = { + // Tweet IDs are approximately chronological (see http://go/snowflake), + // so we are building the earliest tweet id once + // The per-candidate logic here then be candidate.tweetId > earliestPermittedTweetId, which is far cheaper. + val earliestTweetId = SnowflakeId.firstIdFor(Time.now - maxTweetAgeHours) + candidates.filter { candidate => candidate.tweetId >= earliestTweetId } + } + + /** + * AgeFilters tweetCandidates with stats + * Only age filter logic is effective here (through tweetAgeFilter). This function acts mostly for metric logging. + */ + private def ageFilterWithStats( + offlineInterestedInCandidates: Seq[TweetWithScore], + maxTweetAgeHours: Duration, + scopedStatsReceiver: StatsReceiver + ): Seq[TweetWithScore] = { + scopedStatsReceiver.stat("size").add(offlineInterestedInCandidates.size) + val candidates = offlineInterestedInCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + val filteredCandidates = tweetAgeFilter(candidates, maxTweetAgeHours) + scopedStatsReceiver.stat(f"filtered_size").add(filteredCandidates.size) + if (filteredCandidates.isEmpty) scopedStatsReceiver.counter(f"empty").incr() + + filteredCandidates + } + + private def getTwhinCollabCandidatesWithCGInfo( + tweetCandidates: Option[Seq[TweetWithScore]], + maxCandidateNumPerSourceKey: Int, + twhinCollabFilterQuery: LookupEngineQuery[ + TwhinCollabFilterSimilarityEngine.Query + ], + ): Seq[TweetWithCandidateGenerationInfo] = { + val twhinTweets = tweetCandidates match { + case Some(tweetsWithScores) => + tweetsWithScores.map { tweetWithScore => + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + None, + TwhinCollabFilterSimilarityEngine + .toSimilarityEngineInfo(twhinCollabFilterQuery, tweetWithScore.score), + Seq.empty + ) + ) + } + case _ => Seq.empty + } + twhinTweets.take(maxCandidateNumPerSourceKey) + } + + private def getDiffusionBasedCandidatesWithCGInfo( + tweetCandidates: Option[Seq[TweetWithScore]], + maxCandidateNumPerSourceKey: Int, + diffusionBasedSimilarityEngineQuery: LookupEngineQuery[ + DiffusionBasedSimilarityEngine.Query + ], + ): Seq[TweetWithCandidateGenerationInfo] = { + val diffusionTweets = tweetCandidates match { + case Some(tweetsWithScores) => + tweetsWithScores.map { tweetWithScore => + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + None, + DiffusionBasedSimilarityEngine + .toSimilarityEngineInfo(diffusionBasedSimilarityEngineQuery, tweetWithScore.score), + Seq.empty + ) + ) + } + case _ => Seq.empty + } + diffusionTweets.take(maxCandidateNumPerSourceKey) + } +} + +object CustomizedRetrievalCandidateGeneration { + + case class Query( + internalId: InternalId, + maxCandidateNumPerSourceKey: Int, + maxTweetAgeHours: Duration, + // twhinCollabFilter + enableTwhinCollabFilter: Boolean, + twhinCollabFilterFollowQuery: LookupEngineQuery[ + TwhinCollabFilterSimilarityEngine.Query + ], + twhinCollabFilterEngagementQuery: LookupEngineQuery[ + TwhinCollabFilterSimilarityEngine.Query + ], + // twhinMultiCluster + enableTwhinMultiCluster: Boolean, + twhinMultiClusterFollowQuery: LookupEngineQuery[ + TwhinCollabFilterSimilarityEngine.Query + ], + twhinMultiClusterEngagementQuery: LookupEngineQuery[ + TwhinCollabFilterSimilarityEngine.Query + ], + enableRetweetBasedDiffusion: Boolean, + diffusionBasedSimilarityEngineQuery: LookupEngineQuery[ + DiffusionBasedSimilarityEngine.Query + ], + ) + + def fromParams( + internalId: InternalId, + params: configapi.Params + ): Query = { + val twhinCollabFilterFollowQuery = + TwhinCollabFilterSimilarityEngine.fromParams( + internalId, + params(CustomizedRetrievalBasedTwhinCollabFilterFollowSource), + params) + + val twhinCollabFilterEngagementQuery = + TwhinCollabFilterSimilarityEngine.fromParams( + internalId, + params(CustomizedRetrievalBasedTwhinCollabFilterEngagementSource), + params) + + val twhinMultiClusterFollowQuery = + TwhinCollabFilterSimilarityEngine.fromParams( + internalId, + params(CustomizedRetrievalBasedTwhinMultiClusterFollowSource), + params) + + val twhinMultiClusterEngagementQuery = + TwhinCollabFilterSimilarityEngine.fromParams( + internalId, + params(CustomizedRetrievalBasedTwhinMultiClusterEngagementSource), + params) + + val diffusionBasedSimilarityEngineQuery = + DiffusionBasedSimilarityEngine.fromParams( + internalId, + params(CustomizedRetrievalBasedRetweetDiffusionSource), + params) + + Query( + internalId = internalId, + maxCandidateNumPerSourceKey = params(GlobalParams.MaxCandidateNumPerSourceKeyParam), + maxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam), + // twhinCollabFilter + enableTwhinCollabFilter = params(EnableTwhinCollabFilterClusterParam), + twhinCollabFilterFollowQuery = twhinCollabFilterFollowQuery, + twhinCollabFilterEngagementQuery = twhinCollabFilterEngagementQuery, + enableTwhinMultiCluster = params(EnableTwhinMultiClusterParam), + twhinMultiClusterFollowQuery = twhinMultiClusterFollowQuery, + twhinMultiClusterEngagementQuery = twhinMultiClusterEngagementQuery, + enableRetweetBasedDiffusion = params(EnableRetweetBasedDiffusionParam), + diffusionBasedSimilarityEngineQuery = diffusionBasedSimilarityEngineQuery + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/FrsTweetCandidateGenerator.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/FrsTweetCandidateGenerator.scala new file mode 100644 index 000000000..0c5334c28 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/FrsTweetCandidateGenerator.scala @@ -0,0 +1,220 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.FrsTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithAuthor +import com.twitter.cr_mixer.param.FrsParams +import com.twitter.cr_mixer.similarity_engine.EarlybirdSimilarityEngineRouter +import com.twitter.cr_mixer.source_signal.FrsStore +import com.twitter.cr_mixer.source_signal.FrsStore.FrsQueryResult +import com.twitter.cr_mixer.thriftscala.FrsTweet +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.hermit.constants.AlgorithmFeedbackTokens +import com.twitter.hermit.constants.AlgorithmFeedbackTokens.AlgorithmToFeedbackTokenMap +import com.twitter.hermit.model.Algorithm +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/** + * TweetCandidateGenerator based on FRS seed users. For now this candidate generator fetches seed + * users from FRS, and retrieves the seed users' past tweets from Earlybird with Earlybird light + * ranking models. + */ +@Singleton +class FrsTweetCandidateGenerator @Inject() ( + @Named(ModuleNames.FrsStore) frsStore: ReadableStore[FrsStore.Query, Seq[FrsQueryResult]], + frsBasedSimilarityEngine: EarlybirdSimilarityEngineRouter, + tweetInfoStore: ReadableStore[TweetId, TweetInfo], + timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver) { + import FrsTweetCandidateGenerator._ + + private val timer = DefaultTimer + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + private val fetchSeedsStats = stats.scope("fetchSeeds") + private val fetchCandidatesStats = stats.scope("fetchCandidates") + private val filterCandidatesStats = stats.scope("filterCandidates") + private val hydrateCandidatesStats = stats.scope("hydrateCandidates") + private val getCandidatesStats = stats.scope("getCandidates") + + /** + * The function retrieves the candidate for the given user as follows: + * 1. Seed user fetch from FRS. + * 2. Candidate fetch from Earlybird. + * 3. Filtering. + * 4. Candidate hydration. + * 5. Truncation. + */ + def get( + frsTweetCandidateGeneratorQuery: FrsTweetCandidateGeneratorQuery + ): Future[Seq[FrsTweet]] = { + val userId = frsTweetCandidateGeneratorQuery.userId + val product = frsTweetCandidateGeneratorQuery.product + val allStats = stats.scope("all") + val perProductStats = stats.scope("perProduct", product.name) + StatsUtil.trackItemsStats(allStats) { + StatsUtil.trackItemsStats(perProductStats) { + val result = for { + seedAuthorWithScores <- StatsUtil.trackOptionItemMapStats(fetchSeedsStats) { + fetchSeeds( + userId, + frsTweetCandidateGeneratorQuery.impressedUserList, + frsTweetCandidateGeneratorQuery.languageCodeOpt, + frsTweetCandidateGeneratorQuery.countryCodeOpt, + frsTweetCandidateGeneratorQuery.params, + ) + } + tweetCandidates <- StatsUtil.trackOptionItemsStats(fetchCandidatesStats) { + fetchCandidates( + userId, + seedAuthorWithScores.map(_.keys.toSeq).getOrElse(Seq.empty), + frsTweetCandidateGeneratorQuery.impressedTweetList, + seedAuthorWithScores.map(_.mapValues(_.score)).getOrElse(Map.empty), + frsTweetCandidateGeneratorQuery.params + ) + } + filteredTweetCandidates <- StatsUtil.trackOptionItemsStats(filterCandidatesStats) { + filterCandidates( + tweetCandidates, + frsTweetCandidateGeneratorQuery.params + ) + } + hydratedTweetCandidates <- StatsUtil.trackOptionItemsStats(hydrateCandidatesStats) { + hydrateCandidates( + seedAuthorWithScores, + filteredTweetCandidates + ) + } + } yield { + hydratedTweetCandidates + .map(_.take(frsTweetCandidateGeneratorQuery.maxNumResults)).getOrElse(Seq.empty) + } + result.raiseWithin(timeoutConfig.frsBasedTweetEndpointTimeout)(timer) + } + } + } + + /** + * Fetch recommended seed users from FRS + */ + private def fetchSeeds( + userId: UserId, + userDenyList: Set[UserId], + languageCodeOpt: Option[String], + countryCodeOpt: Option[String], + params: Params + ): Future[Option[Map[UserId, FrsQueryResult]]] = { + frsStore + .get( + FrsStore.Query( + userId, + params(FrsParams.FrsBasedCandidateGenerationMaxSeedsNumParam), + params(FrsParams.FrsBasedCandidateGenerationDisplayLocationParam).displayLocation, + userDenyList.toSeq, + languageCodeOpt, + countryCodeOpt + )).map { + _.map { seedAuthors => + seedAuthors.map(user => user.userId -> user).toMap + } + } + } + + /** + * Fetch tweet candidates from Earlybird + */ + private def fetchCandidates( + searcherUserId: UserId, + seedAuthors: Seq[UserId], + impressedTweetList: Set[TweetId], + frsUserToScores: Map[UserId, Double], + params: Params + ): Future[Option[Seq[TweetWithAuthor]]] = { + if (seedAuthors.nonEmpty) { + // call earlybird + val query = EarlybirdSimilarityEngineRouter.queryFromParams( + Some(searcherUserId), + seedAuthors, + impressedTweetList, + frsUserToScoresForScoreAdjustment = Some(frsUserToScores), + params + ) + frsBasedSimilarityEngine.get(query) + } else Future.None + } + + /** + * Filter candidates that do not pass visibility filter policy + */ + private def filterCandidates( + candidates: Option[Seq[TweetWithAuthor]], + params: Params + ): Future[Option[Seq[TweetWithAuthor]]] = { + val tweetIds = candidates.map(_.map(_.tweetId).toSet).getOrElse(Set.empty) + if (params(FrsParams.FrsBasedCandidateGenerationEnableVisibilityFilteringParam)) + Future + .collect(tweetInfoStore.multiGet(tweetIds)).map { tweetInfos => + candidates.map { + // If tweetInfo does not exist, we will filter out this tweet candidate. + _.filter(candidate => tweetInfos.getOrElse(candidate.tweetId, None).isDefined) + } + } + else { + Future.value(candidates) + } + } + + /** + * Hydrate the candidates with the FRS candidate sources and scores + */ + private def hydrateCandidates( + frsAuthorWithScores: Option[Map[UserId, FrsQueryResult]], + candidates: Option[Seq[TweetWithAuthor]] + ): Future[Option[Seq[FrsTweet]]] = { + Future.value { + candidates.map { + _.map { tweetWithAuthor => + val frsQueryResult = frsAuthorWithScores.flatMap(_.get(tweetWithAuthor.authorId)) + FrsTweet( + tweetId = tweetWithAuthor.tweetId, + authorId = tweetWithAuthor.authorId, + frsPrimarySource = frsQueryResult.flatMap(_.primarySource), + frsAuthorScore = frsQueryResult.map(_.score), + frsCandidateSourceScores = frsQueryResult.flatMap { result => + result.sourceWithScores.map { + _.collect { + // see TokenStrToAlgorithmMap @ https://sourcegraph.twitter.biz/git.twitter.biz/source/-/blob/hermit/hermit-core/src/main/scala/com/twitter/hermit/constants/AlgorithmFeedbackTokens.scala + // see Algorithm @ https://sourcegraph.twitter.biz/git.twitter.biz/source/-/blob/hermit/hermit-core/src/main/scala/com/twitter/hermit/model/Algorithm.scala + case (candidateSourceAlgoStr, score) + if AlgorithmFeedbackTokens.TokenStrToAlgorithmMap.contains( + candidateSourceAlgoStr) => + AlgorithmToFeedbackTokenMap.getOrElse( + AlgorithmFeedbackTokens.TokenStrToAlgorithmMap + .getOrElse(candidateSourceAlgoStr, DefaultAlgo), + DefaultAlgoToken) -> score + } + } + } + ) + } + } + } + } + +} + +object FrsTweetCandidateGenerator { + val DefaultAlgo: Algorithm.Value = Algorithm.Other + // 9999 is the token for Algorithm.Other + val DefaultAlgoToken: Int = AlgorithmToFeedbackTokenMap.getOrElse(DefaultAlgo, 9999) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/RelatedTweetCandidateGenerator.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/RelatedTweetCandidateGenerator.scala new file mode 100644 index 000000000..45a919a57 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/RelatedTweetCandidateGenerator.scala @@ -0,0 +1,156 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.cr_mixer.filter.PreRankFilterRunner +import com.twitter.cr_mixer.logging.RelatedTweetScribeLogger +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.RelatedTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.similarity_engine.ProducerBasedUnifiedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUnifiedSimilarityEngine +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class RelatedTweetCandidateGenerator @Inject() ( + @Named(ModuleNames.TweetBasedUnifiedSimilarityEngine) tweetBasedUnifiedSimilarityEngine: StandardSimilarityEngine[ + TweetBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ], + @Named(ModuleNames.ProducerBasedUnifiedSimilarityEngine) producerBasedUnifiedSimilarityEngine: StandardSimilarityEngine[ + ProducerBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ], + preRankFilterRunner: PreRankFilterRunner, + relatedTweetScribeLogger: RelatedTweetScribeLogger, + tweetInfoStore: ReadableStore[TweetId, TweetInfo], + globalStats: StatsReceiver) { + + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + private val fetchCandidatesStats = stats.scope("fetchCandidates") + private val preRankFilterStats = stats.scope("preRankFilter") + + def get( + query: RelatedTweetCandidateGeneratorQuery + ): Future[Seq[InitialCandidate]] = { + + val allStats = stats.scope("all") + val perProductStats = stats.scope("perProduct", query.product.toString) + StatsUtil.trackItemsStats(allStats) { + StatsUtil.trackItemsStats(perProductStats) { + for { + initialCandidates <- StatsUtil.trackBlockStats(fetchCandidatesStats) { + fetchCandidates(query) + } + filteredCandidates <- StatsUtil.trackBlockStats(preRankFilterStats) { + preRankFilter(query, initialCandidates) + } + } yield { + filteredCandidates.headOption + .getOrElse( + throw new UnsupportedOperationException( + "RelatedTweetCandidateGenerator results invalid") + ).take(query.maxNumResults) + } + } + } + } + + def fetchCandidates( + query: RelatedTweetCandidateGeneratorQuery + ): Future[Seq[Seq[InitialCandidate]]] = { + relatedTweetScribeLogger.scribeInitialCandidates( + query, + query.internalId match { + case InternalId.TweetId(_) => + getCandidatesFromSimilarityEngine( + query, + TweetBasedUnifiedSimilarityEngine.fromParamsForRelatedTweet, + tweetBasedUnifiedSimilarityEngine.getCandidates) + case InternalId.UserId(_) => + getCandidatesFromSimilarityEngine( + query, + ProducerBasedUnifiedSimilarityEngine.fromParamsForRelatedTweet, + producerBasedUnifiedSimilarityEngine.getCandidates) + case _ => + throw new UnsupportedOperationException( + "RelatedTweetCandidateGenerator gets invalid InternalId") + } + ) + } + + /*** + * fetch Candidates from TweetBased/ProducerBased Unified Similarity Engine, + * and apply VF filter based on TweetInfoStore + * To align with the downstream processing (filter, rank), we tend to return a Seq[Seq[InitialCandidate]] + * instead of a Seq[Candidate] even though we only have a Seq in it. + */ + private def getCandidatesFromSimilarityEngine[QueryType]( + query: RelatedTweetCandidateGeneratorQuery, + fromParamsForRelatedTweet: (InternalId, configapi.Params) => QueryType, + getFunc: QueryType => Future[Option[Seq[TweetWithCandidateGenerationInfo]]] + ): Future[Seq[Seq[InitialCandidate]]] = { + + /*** + * We wrap the query to be a Seq of queries for the Sim Engine to ensure evolvability of candidate generation + * and as a result, it will return Seq[Seq[InitialCandidate]] + */ + val engineQueries = + Seq(fromParamsForRelatedTweet(query.internalId, query.params)) + + Future + .collect { + engineQueries.map { query => + for { + candidates <- getFunc(query) + prefilterCandidates <- convertToInitialCandidates( + candidates.toSeq.flatten + ) + } yield prefilterCandidates + } + } + } + + private def preRankFilter( + query: RelatedTweetCandidateGeneratorQuery, + candidates: Seq[Seq[InitialCandidate]] + ): Future[Seq[Seq[InitialCandidate]]] = { + relatedTweetScribeLogger.scribePreRankFilterCandidates( + query, + preRankFilterRunner + .runSequentialFilters(query, candidates)) + } + + private[candidate_generation] def convertToInitialCandidates( + candidates: Seq[TweetWithCandidateGenerationInfo], + ): Future[Seq[InitialCandidate]] = { + val tweetIds = candidates.map(_.tweetId).toSet + Future.collect(tweetInfoStore.multiGet(tweetIds)).map { tweetInfos => + /*** + * If tweetInfo does not exist, we will filter out this tweet candidate. + * This tweetInfo filter also acts as the VF filter + */ + candidates.collect { + case candidate if tweetInfos.getOrElse(candidate.tweetId, None).isDefined => + val tweetInfo = tweetInfos(candidate.tweetId) + .getOrElse(throw new IllegalStateException("Check previous line's condition")) + + InitialCandidate( + tweetId = candidate.tweetId, + tweetInfo = tweetInfo, + candidate.candidateGenerationInfo + ) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/RelatedVideoTweetCandidateGenerator.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/RelatedVideoTweetCandidateGenerator.scala new file mode 100644 index 000000000..cc7f55859 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/RelatedVideoTweetCandidateGenerator.scala @@ -0,0 +1,139 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.cr_mixer.filter.PreRankFilterRunner +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.RelatedVideoTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUnifiedSimilarityEngine +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class RelatedVideoTweetCandidateGenerator @Inject() ( + @Named(ModuleNames.TweetBasedUnifiedSimilarityEngine) tweetBasedUnifiedSimilarityEngine: StandardSimilarityEngine[ + TweetBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ], + preRankFilterRunner: PreRankFilterRunner, + tweetInfoStore: ReadableStore[TweetId, TweetInfo], + globalStats: StatsReceiver) { + + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + private val fetchCandidatesStats = stats.scope("fetchCandidates") + private val preRankFilterStats = stats.scope("preRankFilter") + + def get( + query: RelatedVideoTweetCandidateGeneratorQuery + ): Future[Seq[InitialCandidate]] = { + + val allStats = stats.scope("all") + val perProductStats = stats.scope("perProduct", query.product.toString) + StatsUtil.trackItemsStats(allStats) { + StatsUtil.trackItemsStats(perProductStats) { + for { + initialCandidates <- StatsUtil.trackBlockStats(fetchCandidatesStats) { + fetchCandidates(query) + } + filteredCandidates <- StatsUtil.trackBlockStats(preRankFilterStats) { + preRankFilter(query, initialCandidates) + } + } yield { + filteredCandidates.headOption + .getOrElse( + throw new UnsupportedOperationException( + "RelatedVideoTweetCandidateGenerator results invalid") + ).take(query.maxNumResults) + } + } + } + } + + def fetchCandidates( + query: RelatedVideoTweetCandidateGeneratorQuery + ): Future[Seq[Seq[InitialCandidate]]] = { + query.internalId match { + case InternalId.TweetId(_) => + getCandidatesFromSimilarityEngine( + query, + TweetBasedUnifiedSimilarityEngine.fromParamsForRelatedVideoTweet, + tweetBasedUnifiedSimilarityEngine.getCandidates) + case _ => + throw new UnsupportedOperationException( + "RelatedVideoTweetCandidateGenerator gets invalid InternalId") + } + } + + /*** + * fetch Candidates from TweetBased/ProducerBased Unified Similarity Engine, + * and apply VF filter based on TweetInfoStore + * To align with the downstream processing (filter, rank), we tend to return a Seq[Seq[InitialCandidate]] + * instead of a Seq[Candidate] even though we only have a Seq in it. + */ + private def getCandidatesFromSimilarityEngine[QueryType]( + query: RelatedVideoTweetCandidateGeneratorQuery, + fromParamsForRelatedVideoTweet: (InternalId, configapi.Params) => QueryType, + getFunc: QueryType => Future[Option[Seq[TweetWithCandidateGenerationInfo]]] + ): Future[Seq[Seq[InitialCandidate]]] = { + + /*** + * We wrap the query to be a Seq of queries for the Sim Engine to ensure evolvability of candidate generation + * and as a result, it will return Seq[Seq[InitialCandidate]] + */ + val engineQueries = + Seq(fromParamsForRelatedVideoTweet(query.internalId, query.params)) + + Future + .collect { + engineQueries.map { query => + for { + candidates <- getFunc(query) + prefilterCandidates <- convertToInitialCandidates( + candidates.toSeq.flatten + ) + } yield prefilterCandidates + } + } + } + + private def preRankFilter( + query: RelatedVideoTweetCandidateGeneratorQuery, + candidates: Seq[Seq[InitialCandidate]] + ): Future[Seq[Seq[InitialCandidate]]] = { + preRankFilterRunner + .runSequentialFilters(query, candidates) + } + + private[candidate_generation] def convertToInitialCandidates( + candidates: Seq[TweetWithCandidateGenerationInfo], + ): Future[Seq[InitialCandidate]] = { + val tweetIds = candidates.map(_.tweetId).toSet + Future.collect(tweetInfoStore.multiGet(tweetIds)).map { tweetInfos => + /*** + * If tweetInfo does not exist, we will filter out this tweet candidate. + * This tweetInfo filter also acts as the VF filter + */ + candidates.collect { + case candidate if tweetInfos.getOrElse(candidate.tweetId, None).isDefined => + val tweetInfo = tweetInfos(candidate.tweetId) + .getOrElse(throw new IllegalStateException("Check previous line's condition")) + + InitialCandidate( + tweetId = candidate.tweetId, + tweetInfo = tweetInfo, + candidate.candidateGenerationInfo + ) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/SimClustersInterestedInCandidateGeneration.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/SimClustersInterestedInCandidateGeneration.scala new file mode 100644 index 000000000..a40901a58 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/SimClustersInterestedInCandidateGeneration.scala @@ -0,0 +1,640 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.InterestedInParams +import com.twitter.cr_mixer.param.SimClustersANNParams +import com.twitter.cr_mixer.similarity_engine.EngineQuery +import com.twitter.cr_mixer.similarity_engine.SimClustersANNSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.base.CandidateSource +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.ModelVersions +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Singleton +import javax.inject.Named +import com.twitter.cr_mixer.model.ModuleNames + +/** + * This store looks for similar tweets for a given UserId that generates UserInterestedIn + * from SimClustersANN. It will be a standalone CandidateGeneration class moving forward. + * + * After the abstraction improvement (apply SimilarityEngine trait) + * these CG will be subjected to change. + */ +@Singleton +case class SimClustersInterestedInCandidateGeneration @Inject() ( + @Named(ModuleNames.SimClustersANNSimilarityEngine) + simClustersANNSimilarityEngine: StandardSimilarityEngine[ + SimClustersANNSimilarityEngine.Query, + TweetWithScore + ], + statsReceiver: StatsReceiver) + extends CandidateSource[ + SimClustersInterestedInCandidateGeneration.Query, + Seq[TweetWithCandidateGenerationInfo] + ] { + + override def name: String = this.getClass.getSimpleName + private val stats = statsReceiver.scope(name) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + override def get( + query: SimClustersInterestedInCandidateGeneration.Query + ): Future[Option[Seq[Seq[TweetWithCandidateGenerationInfo]]]] = { + + query.internalId match { + case _: InternalId.UserId => + StatsUtil.trackOptionItemsStats(fetchCandidatesStat) { + // UserInterestedIn Queries + val userInterestedInCandidateResultFut = + if (query.enableUserInterestedIn && query.enableProdSimClustersANNSimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.interestedInSimClustersANNQuery, + query.simClustersInterestedInMinScore) + else + Future.None + + val userInterestedInExperimentalSANNCandidateResultFut = + if (query.enableUserInterestedIn && query.enableExperimentalSimClustersANNSimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.interestedInExperimentalSimClustersANNQuery, + query.simClustersInterestedInMinScore) + else + Future.None + + val userInterestedInSANN1CandidateResultFut = + if (query.enableUserInterestedIn && query.enableSimClustersANN1SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.interestedInSimClustersANN1Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userInterestedInSANN2CandidateResultFut = + if (query.enableUserInterestedIn && query.enableSimClustersANN2SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.interestedInSimClustersANN2Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userInterestedInSANN3CandidateResultFut = + if (query.enableUserInterestedIn && query.enableSimClustersANN3SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.interestedInSimClustersANN3Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userInterestedInSANN5CandidateResultFut = + if (query.enableUserInterestedIn && query.enableSimClustersANN5SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.interestedInSimClustersANN5Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userInterestedInSANN4CandidateResultFut = + if (query.enableUserInterestedIn && query.enableSimClustersANN4SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.interestedInSimClustersANN4Query, + query.simClustersInterestedInMinScore) + else + Future.None + // UserNextInterestedIn Queries + val userNextInterestedInCandidateResultFut = + if (query.enableUserNextInterestedIn && query.enableProdSimClustersANNSimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.nextInterestedInSimClustersANNQuery, + query.simClustersInterestedInMinScore) + else + Future.None + + val userNextInterestedInExperimentalSANNCandidateResultFut = + if (query.enableUserNextInterestedIn && query.enableExperimentalSimClustersANNSimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.nextInterestedInExperimentalSimClustersANNQuery, + query.simClustersInterestedInMinScore) + else + Future.None + + val userNextInterestedInSANN1CandidateResultFut = + if (query.enableUserNextInterestedIn && query.enableSimClustersANN1SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.nextInterestedInSimClustersANN1Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userNextInterestedInSANN2CandidateResultFut = + if (query.enableUserNextInterestedIn && query.enableSimClustersANN2SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.nextInterestedInSimClustersANN2Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userNextInterestedInSANN3CandidateResultFut = + if (query.enableUserNextInterestedIn && query.enableSimClustersANN3SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.nextInterestedInSimClustersANN3Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userNextInterestedInSANN5CandidateResultFut = + if (query.enableUserNextInterestedIn && query.enableSimClustersANN5SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.nextInterestedInSimClustersANN5Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userNextInterestedInSANN4CandidateResultFut = + if (query.enableUserNextInterestedIn && query.enableSimClustersANN4SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.nextInterestedInSimClustersANN4Query, + query.simClustersInterestedInMinScore) + else + Future.None + + // AddressBookInterestedIn Queries + val userAddressBookInterestedInCandidateResultFut = + if (query.enableAddressBookNextInterestedIn && query.enableProdSimClustersANNSimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.addressbookInterestedInSimClustersANNQuery, + query.simClustersInterestedInMinScore) + else + Future.None + + val userAddressBookExperimentalSANNCandidateResultFut = + if (query.enableAddressBookNextInterestedIn && query.enableExperimentalSimClustersANNSimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.addressbookInterestedInExperimentalSimClustersANNQuery, + query.simClustersInterestedInMinScore) + else + Future.None + + val userAddressBookSANN1CandidateResultFut = + if (query.enableAddressBookNextInterestedIn && query.enableSimClustersANN1SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.addressbookInterestedInSimClustersANN1Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userAddressBookSANN2CandidateResultFut = + if (query.enableAddressBookNextInterestedIn && query.enableSimClustersANN2SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.addressbookInterestedInSimClustersANN2Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userAddressBookSANN3CandidateResultFut = + if (query.enableAddressBookNextInterestedIn && query.enableSimClustersANN3SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.addressbookInterestedInSimClustersANN3Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userAddressBookSANN5CandidateResultFut = + if (query.enableAddressBookNextInterestedIn && query.enableSimClustersANN5SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.addressbookInterestedInSimClustersANN5Query, + query.simClustersInterestedInMinScore) + else + Future.None + + val userAddressBookSANN4CandidateResultFut = + if (query.enableAddressBookNextInterestedIn && query.enableSimClustersANN4SimilarityEngine) + getInterestedInCandidateResult( + simClustersANNSimilarityEngine, + query.addressbookInterestedInSimClustersANN4Query, + query.simClustersInterestedInMinScore) + else + Future.None + + Future + .collect( + Seq( + userInterestedInCandidateResultFut, + userNextInterestedInCandidateResultFut, + userAddressBookInterestedInCandidateResultFut, + userInterestedInExperimentalSANNCandidateResultFut, + userNextInterestedInExperimentalSANNCandidateResultFut, + userAddressBookExperimentalSANNCandidateResultFut, + userInterestedInSANN1CandidateResultFut, + userNextInterestedInSANN1CandidateResultFut, + userAddressBookSANN1CandidateResultFut, + userInterestedInSANN2CandidateResultFut, + userNextInterestedInSANN2CandidateResultFut, + userAddressBookSANN2CandidateResultFut, + userInterestedInSANN3CandidateResultFut, + userNextInterestedInSANN3CandidateResultFut, + userAddressBookSANN3CandidateResultFut, + userInterestedInSANN5CandidateResultFut, + userNextInterestedInSANN5CandidateResultFut, + userAddressBookSANN5CandidateResultFut, + userInterestedInSANN4CandidateResultFut, + userNextInterestedInSANN4CandidateResultFut, + userAddressBookSANN4CandidateResultFut + ) + ).map { candidateResults => + Some( + candidateResults.map(candidateResult => candidateResult.getOrElse(Seq.empty)) + ) + } + } + case _ => + stats.counter("sourceId_is_not_userId_cnt").incr() + Future.None + } + } + + private def simClustersCandidateMinScoreFilter( + simClustersAnnCandidates: Seq[TweetWithScore], + simClustersInterestedInMinScore: Double, + simClustersANNConfigId: String + ): Seq[TweetWithScore] = { + val filteredCandidates = simClustersAnnCandidates + .filter { candidate => + candidate.score > simClustersInterestedInMinScore + } + + stats.stat(simClustersANNConfigId, "simClustersAnnCandidates_size").add(filteredCandidates.size) + stats.counter(simClustersANNConfigId, "simClustersAnnRequests").incr() + if (filteredCandidates.isEmpty) + stats.counter(simClustersANNConfigId, "emptyFilteredSimClustersAnnCandidates").incr() + + filteredCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + } + + private def getInterestedInCandidateResult( + simClustersANNSimilarityEngine: StandardSimilarityEngine[ + SimClustersANNSimilarityEngine.Query, + TweetWithScore + ], + simClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + simClustersInterestedInMinScore: Double, + ): Future[Option[Seq[TweetWithCandidateGenerationInfo]]] = { + val interestedInCandidatesFut = + simClustersANNSimilarityEngine.getCandidates(simClustersANNQuery) + + val interestedInCandidateResultFut = interestedInCandidatesFut.map { interestedInCandidates => + stats.stat("candidateSize").add(interestedInCandidates.size) + + val embeddingCandidatesStat = stats.scope( + simClustersANNQuery.storeQuery.simClustersANNQuery.sourceEmbeddingId.embeddingType.name) + + embeddingCandidatesStat.stat("candidateSize").add(interestedInCandidates.size) + if (interestedInCandidates.isEmpty) { + embeddingCandidatesStat.counter("empty_results").incr() + } + embeddingCandidatesStat.counter("requests").incr() + + val filteredTweets = simClustersCandidateMinScoreFilter( + interestedInCandidates.toSeq.flatten, + simClustersInterestedInMinScore, + simClustersANNQuery.storeQuery.simClustersANNConfigId) + + val interestedInTweetsWithCGInfo = filteredTweets.map { tweetWithScore => + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + None, + SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(simClustersANNQuery, tweetWithScore.score), + Seq.empty // SANN is an atomic SE, and hence it has no contributing SEs + ) + ) + } + + val interestedInResults = if (interestedInTweetsWithCGInfo.nonEmpty) { + Some(interestedInTweetsWithCGInfo) + } else None + interestedInResults + } + interestedInCandidateResultFut + } +} + +object SimClustersInterestedInCandidateGeneration { + + case class Query( + internalId: InternalId, + enableUserInterestedIn: Boolean, + enableUserNextInterestedIn: Boolean, + enableAddressBookNextInterestedIn: Boolean, + enableProdSimClustersANNSimilarityEngine: Boolean, + enableExperimentalSimClustersANNSimilarityEngine: Boolean, + enableSimClustersANN1SimilarityEngine: Boolean, + enableSimClustersANN2SimilarityEngine: Boolean, + enableSimClustersANN3SimilarityEngine: Boolean, + enableSimClustersANN5SimilarityEngine: Boolean, + enableSimClustersANN4SimilarityEngine: Boolean, + simClustersInterestedInMinScore: Double, + simClustersNextInterestedInMinScore: Double, + simClustersAddressBookInterestedInMinScore: Double, + interestedInSimClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + nextInterestedInSimClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + addressbookInterestedInSimClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + interestedInExperimentalSimClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + nextInterestedInExperimentalSimClustersANNQuery: EngineQuery[ + SimClustersANNSimilarityEngine.Query + ], + addressbookInterestedInExperimentalSimClustersANNQuery: EngineQuery[ + SimClustersANNSimilarityEngine.Query + ], + interestedInSimClustersANN1Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + nextInterestedInSimClustersANN1Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + addressbookInterestedInSimClustersANN1Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + interestedInSimClustersANN2Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + nextInterestedInSimClustersANN2Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + addressbookInterestedInSimClustersANN2Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + interestedInSimClustersANN3Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + nextInterestedInSimClustersANN3Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + addressbookInterestedInSimClustersANN3Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + interestedInSimClustersANN5Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + nextInterestedInSimClustersANN5Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + addressbookInterestedInSimClustersANN5Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + interestedInSimClustersANN4Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + nextInterestedInSimClustersANN4Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + addressbookInterestedInSimClustersANN4Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + ) + + def fromParams( + internalId: InternalId, + params: configapi.Params, + ): Query = { + // SimClusters common configs + val simClustersModelVersion = + ModelVersions.Enum.enumToSimClustersModelVersionMap(params(GlobalParams.ModelVersionParam)) + val simClustersANNConfigId = params(SimClustersANNParams.SimClustersANNConfigId) + val experimentalSimClustersANNConfigId = params( + SimClustersANNParams.ExperimentalSimClustersANNConfigId) + val simClustersANN1ConfigId = params(SimClustersANNParams.SimClustersANN1ConfigId) + val simClustersANN2ConfigId = params(SimClustersANNParams.SimClustersANN2ConfigId) + val simClustersANN3ConfigId = params(SimClustersANNParams.SimClustersANN3ConfigId) + val simClustersANN5ConfigId = params(SimClustersANNParams.SimClustersANN5ConfigId) + val simClustersANN4ConfigId = params(SimClustersANNParams.SimClustersANN4ConfigId) + + val simClustersInterestedInMinScore = params(InterestedInParams.MinScoreParam) + val simClustersNextInterestedInMinScore = params( + InterestedInParams.MinScoreSequentialModelParam) + val simClustersAddressBookInterestedInMinScore = params( + InterestedInParams.MinScoreAddressBookParam) + + // InterestedIn embeddings parameters + val interestedInEmbedding = params(InterestedInParams.InterestedInEmbeddingIdParam) + val nextInterestedInEmbedding = params(InterestedInParams.NextInterestedInEmbeddingIdParam) + val addressbookInterestedInEmbedding = params( + InterestedInParams.AddressBookInterestedInEmbeddingIdParam) + + // Prod SimClustersANN Query + val interestedInSimClustersANNQuery = + SimClustersANNSimilarityEngine.fromParams( + internalId, + interestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANNConfigId, + params) + + val nextInterestedInSimClustersANNQuery = + SimClustersANNSimilarityEngine.fromParams( + internalId, + nextInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANNConfigId, + params) + + val addressbookInterestedInSimClustersANNQuery = + SimClustersANNSimilarityEngine.fromParams( + internalId, + addressbookInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANNConfigId, + params) + + // Experimental SANN cluster Query + val interestedInExperimentalSimClustersANNQuery = + SimClustersANNSimilarityEngine.fromParams( + internalId, + interestedInEmbedding.embeddingType, + simClustersModelVersion, + experimentalSimClustersANNConfigId, + params) + + val nextInterestedInExperimentalSimClustersANNQuery = + SimClustersANNSimilarityEngine.fromParams( + internalId, + nextInterestedInEmbedding.embeddingType, + simClustersModelVersion, + experimentalSimClustersANNConfigId, + params) + + val addressbookInterestedInExperimentalSimClustersANNQuery = + SimClustersANNSimilarityEngine.fromParams( + internalId, + addressbookInterestedInEmbedding.embeddingType, + simClustersModelVersion, + experimentalSimClustersANNConfigId, + params) + + // SimClusters ANN cluster 1 Query + val interestedInSimClustersANN1Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + interestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN1ConfigId, + params) + + val nextInterestedInSimClustersANN1Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + nextInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN1ConfigId, + params) + + val addressbookInterestedInSimClustersANN1Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + addressbookInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN1ConfigId, + params) + + // SimClusters ANN cluster 2 Query + val interestedInSimClustersANN2Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + interestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN2ConfigId, + params) + + val nextInterestedInSimClustersANN2Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + nextInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN2ConfigId, + params) + + val addressbookInterestedInSimClustersANN2Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + addressbookInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN2ConfigId, + params) + + // SimClusters ANN cluster 3 Query + val interestedInSimClustersANN3Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + interestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN3ConfigId, + params) + + val nextInterestedInSimClustersANN3Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + nextInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN3ConfigId, + params) + + val addressbookInterestedInSimClustersANN3Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + addressbookInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN3ConfigId, + params) + + // SimClusters ANN cluster 5 Query + val interestedInSimClustersANN5Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + interestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN5ConfigId, + params) + // SimClusters ANN cluster 4 Query + val interestedInSimClustersANN4Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + interestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN4ConfigId, + params) + + val nextInterestedInSimClustersANN5Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + nextInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN5ConfigId, + params) + + val nextInterestedInSimClustersANN4Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + nextInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN4ConfigId, + params) + + val addressbookInterestedInSimClustersANN5Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + addressbookInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN5ConfigId, + params) + + val addressbookInterestedInSimClustersANN4Query = + SimClustersANNSimilarityEngine.fromParams( + internalId, + addressbookInterestedInEmbedding.embeddingType, + simClustersModelVersion, + simClustersANN4ConfigId, + params) + + Query( + internalId = internalId, + enableUserInterestedIn = params(InterestedInParams.EnableSourceParam), + enableUserNextInterestedIn = params(InterestedInParams.EnableSourceSequentialModelParam), + enableAddressBookNextInterestedIn = params(InterestedInParams.EnableSourceAddressBookParam), + enableProdSimClustersANNSimilarityEngine = + params(InterestedInParams.EnableProdSimClustersANNParam), + enableExperimentalSimClustersANNSimilarityEngine = + params(InterestedInParams.EnableExperimentalSimClustersANNParam), + enableSimClustersANN1SimilarityEngine = params(InterestedInParams.EnableSimClustersANN1Param), + enableSimClustersANN2SimilarityEngine = params(InterestedInParams.EnableSimClustersANN2Param), + enableSimClustersANN3SimilarityEngine = params(InterestedInParams.EnableSimClustersANN3Param), + enableSimClustersANN5SimilarityEngine = params(InterestedInParams.EnableSimClustersANN5Param), + enableSimClustersANN4SimilarityEngine = params(InterestedInParams.EnableSimClustersANN4Param), + simClustersInterestedInMinScore = simClustersInterestedInMinScore, + simClustersNextInterestedInMinScore = simClustersNextInterestedInMinScore, + simClustersAddressBookInterestedInMinScore = simClustersAddressBookInterestedInMinScore, + interestedInSimClustersANNQuery = interestedInSimClustersANNQuery, + nextInterestedInSimClustersANNQuery = nextInterestedInSimClustersANNQuery, + addressbookInterestedInSimClustersANNQuery = addressbookInterestedInSimClustersANNQuery, + interestedInExperimentalSimClustersANNQuery = interestedInExperimentalSimClustersANNQuery, + nextInterestedInExperimentalSimClustersANNQuery = + nextInterestedInExperimentalSimClustersANNQuery, + addressbookInterestedInExperimentalSimClustersANNQuery = + addressbookInterestedInExperimentalSimClustersANNQuery, + interestedInSimClustersANN1Query = interestedInSimClustersANN1Query, + nextInterestedInSimClustersANN1Query = nextInterestedInSimClustersANN1Query, + addressbookInterestedInSimClustersANN1Query = addressbookInterestedInSimClustersANN1Query, + interestedInSimClustersANN2Query = interestedInSimClustersANN2Query, + nextInterestedInSimClustersANN2Query = nextInterestedInSimClustersANN2Query, + addressbookInterestedInSimClustersANN2Query = addressbookInterestedInSimClustersANN2Query, + interestedInSimClustersANN3Query = interestedInSimClustersANN3Query, + nextInterestedInSimClustersANN3Query = nextInterestedInSimClustersANN3Query, + addressbookInterestedInSimClustersANN3Query = addressbookInterestedInSimClustersANN3Query, + interestedInSimClustersANN5Query = interestedInSimClustersANN5Query, + nextInterestedInSimClustersANN5Query = nextInterestedInSimClustersANN5Query, + addressbookInterestedInSimClustersANN5Query = addressbookInterestedInSimClustersANN5Query, + interestedInSimClustersANN4Query = interestedInSimClustersANN4Query, + nextInterestedInSimClustersANN4Query = nextInterestedInSimClustersANN4Query, + addressbookInterestedInSimClustersANN4Query = addressbookInterestedInSimClustersANN4Query, + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/TopicTweetCandidateGenerator.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/TopicTweetCandidateGenerator.scala new file mode 100644 index 000000000..690fda482 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/TopicTweetCandidateGenerator.scala @@ -0,0 +1,232 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TopicTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.TopicTweetWithScore +import com.twitter.cr_mixer.param.TopicTweetParams +import com.twitter.cr_mixer.similarity_engine.CertoTopicTweetSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SkitHighPrecisionTopicTweetSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SkitTopicTweetSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.thriftscala.TopicTweet +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.servo.util.MemoizingStatsReceiver +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.TopicId +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Formerly CrTopic in legacy Content Recommender. This generator finds top Tweets per Topic. + */ +@Singleton +class TopicTweetCandidateGenerator @Inject() ( + certoTopicTweetSimilarityEngine: CertoTopicTweetSimilarityEngine, + skitTopicTweetSimilarityEngine: SkitTopicTweetSimilarityEngine, + skitHighPrecisionTopicTweetSimilarityEngine: SkitHighPrecisionTopicTweetSimilarityEngine, + tweetInfoStore: ReadableStore[TweetId, TweetInfo], + timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver) { + private val timer = DefaultTimer + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + private val fetchCandidatesStats = stats.scope("fetchCandidates") + private val filterCandidatesStats = stats.scope("filterCandidates") + private val tweetyPieFilteredStats = filterCandidatesStats.stat("tweetypie_filtered") + private val memoizedStatsReceiver = new MemoizingStatsReceiver(stats) + + def get( + query: TopicTweetCandidateGeneratorQuery + ): Future[Map[Long, Seq[TopicTweet]]] = { + val maxTweetAge = query.params(TopicTweetParams.MaxTweetAge) + val product = query.product + val allStats = memoizedStatsReceiver.scope("all") + val perProductStats = memoizedStatsReceiver.scope("perProduct", product.name) + StatsUtil.trackMapValueStats(allStats) { + StatsUtil.trackMapValueStats(perProductStats) { + val result = for { + retrievedTweets <- fetchCandidates(query) + initialTweetCandidates <- convertToInitialCandidates(retrievedTweets) + filteredTweetCandidates <- filterCandidates( + initialTweetCandidates, + maxTweetAge, + query.isVideoOnly, + query.impressedTweetList) + rankedTweetCandidates = rankCandidates(filteredTweetCandidates) + hydratedTweetCandidates = hydrateCandidates(rankedTweetCandidates) + } yield { + hydratedTweetCandidates.map { + case (topicId, topicTweets) => + val topKTweets = topicTweets.take(query.maxNumResults) + topicId -> topKTweets + } + } + result.raiseWithin(timeoutConfig.topicTweetEndpointTimeout)(timer) + } + } + } + + private def fetchCandidates( + query: TopicTweetCandidateGeneratorQuery + ): Future[Map[TopicId, Option[Seq[TopicTweetWithScore]]]] = { + Future.collect { + query.topicIds.map { topicId => + topicId -> StatsUtil.trackOptionStats(fetchCandidatesStats) { + Future + .join( + certoTopicTweetSimilarityEngine.get(CertoTopicTweetSimilarityEngine + .fromParams(topicId, query.isVideoOnly, query.params)), + skitTopicTweetSimilarityEngine + .get(SkitTopicTweetSimilarityEngine + .fromParams(topicId, query.isVideoOnly, query.params)), + skitHighPrecisionTopicTweetSimilarityEngine + .get(SkitHighPrecisionTopicTweetSimilarityEngine + .fromParams(topicId, query.isVideoOnly, query.params)) + ).map { + case (certoTopicTweets, skitTfgTopicTweets, skitHighPrecisionTopicTweets) => + val uniqueCandidates = (certoTopicTweets.getOrElse(Nil) ++ + skitTfgTopicTweets.getOrElse(Nil) ++ + skitHighPrecisionTopicTweets.getOrElse(Nil)) + .groupBy(_.tweetId).map { + case (_, dupCandidates) => dupCandidates.head + }.toSeq + Some(uniqueCandidates) + } + } + }.toMap + } + } + + private def convertToInitialCandidates( + candidatesMap: Map[TopicId, Option[Seq[TopicTweetWithScore]]] + ): Future[Map[TopicId, Seq[InitialCandidate]]] = { + val initialCandidates = candidatesMap.map { + case (topicId, candidatesOpt) => + val candidates = candidatesOpt.getOrElse(Nil) + val tweetIds = candidates.map(_.tweetId).toSet + val numTweetsPreFilter = tweetIds.size + Future.collect(tweetInfoStore.multiGet(tweetIds)).map { tweetInfos => + /** * + * If tweetInfo does not exist, we will filter out this tweet candidate. + */ + val tweetyPieFilteredInitialCandidates = candidates.collect { + case candidate if tweetInfos.getOrElse(candidate.tweetId, None).isDefined => + val tweetInfo = tweetInfos(candidate.tweetId) + .getOrElse(throw new IllegalStateException("Check previous line's condition")) + + InitialCandidate( + tweetId = candidate.tweetId, + tweetInfo = tweetInfo, + CandidateGenerationInfo( + None, + SimilarityEngineInfo( + similarityEngineType = candidate.similarityEngineType, + modelId = None, + score = Some(candidate.score)), + Seq.empty + ) + ) + } + val numTweetsPostFilter = tweetyPieFilteredInitialCandidates.size + tweetyPieFilteredStats.add(numTweetsPreFilter - numTweetsPostFilter) + topicId -> tweetyPieFilteredInitialCandidates + } + } + + Future.collect(initialCandidates.toSeq).map(_.toMap) + } + + private def filterCandidates( + topicTweetMap: Map[TopicId, Seq[InitialCandidate]], + maxTweetAge: Duration, + isVideoOnly: Boolean, + excludeTweetIds: Set[TweetId] + ): Future[Map[TopicId, Seq[InitialCandidate]]] = { + + val earliestTweetId = SnowflakeId.firstIdFor(Time.now - maxTweetAge) + + val filteredResults = topicTweetMap.map { + case (topicId, tweetsWithScore) => + topicId -> StatsUtil.trackItemsStats(filterCandidatesStats) { + + val timeFilteredTweets = + tweetsWithScore.filter { tweetWithScore => + tweetWithScore.tweetId >= earliestTweetId && !excludeTweetIds.contains( + tweetWithScore.tweetId) + } + + filterCandidatesStats + .stat("exclude_and_time_filtered").add(tweetsWithScore.size - timeFilteredTweets.size) + + val tweetNudityFilteredTweets = + timeFilteredTweets.collect { + case tweet if tweet.tweetInfo.isPassTweetMediaNudityTag.contains(true) => tweet + } + + filterCandidatesStats + .stat("tweet_nudity_filtered").add( + timeFilteredTweets.size - tweetNudityFilteredTweets.size) + + val userNudityFilteredTweets = + tweetNudityFilteredTweets.collect { + case tweet if tweet.tweetInfo.isPassUserNudityRateStrict.contains(true) => tweet + } + + filterCandidatesStats + .stat("user_nudity_filtered").add( + tweetNudityFilteredTweets.size - userNudityFilteredTweets.size) + + val videoFilteredTweets = { + if (isVideoOnly) { + userNudityFilteredTweets.collect { + case tweet if tweet.tweetInfo.hasVideo.contains(true) => tweet + } + } else { + userNudityFilteredTweets + } + } + + Future.value(videoFilteredTweets) + } + } + Future.collect(filteredResults) + } + + private def rankCandidates( + tweetCandidatesMap: Map[TopicId, Seq[InitialCandidate]] + ): Map[TopicId, Seq[InitialCandidate]] = { + tweetCandidatesMap.mapValues { tweetCandidates => + tweetCandidates.sortBy { candidate => + -candidate.tweetInfo.favCount + } + } + } + + private def hydrateCandidates( + topicCandidatesMap: Map[TopicId, Seq[InitialCandidate]] + ): Map[Long, Seq[TopicTweet]] = { + topicCandidatesMap.map { + case (topicId, tweetsWithScore) => + topicId.entityId -> + tweetsWithScore.map { tweetWithScore => + val similarityEngineType: SimilarityEngineType = + tweetWithScore.candidateGenerationInfo.similarityEngineInfo.similarityEngineType + TopicTweet( + tweetId = tweetWithScore.tweetId, + score = tweetWithScore.getSimilarityScore, + similarityEngineType = similarityEngineType + ) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/UtegTweetCandidateGenerator.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/UtegTweetCandidateGenerator.scala new file mode 100644 index 000000000..ecf0bb98e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation/UtegTweetCandidateGenerator.scala @@ -0,0 +1,179 @@ +package com.twitter.cr_mixer.candidate_generation + +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.cr_mixer.logging.UtegTweetScribeLogger +import com.twitter.cr_mixer.filter.UtegFilterRunner +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScoreAndSocialProof +import com.twitter.cr_mixer.model.UtegTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.similarity_engine.UserTweetEntityGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.source_signal.RealGraphInSourceGraphFetcher +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class UtegTweetCandidateGenerator @Inject() ( + @Named(ModuleNames.UserTweetEntityGraphSimilarityEngine) userTweetEntityGraphSimilarityEngine: StandardSimilarityEngine[ + UserTweetEntityGraphSimilarityEngine.Query, + TweetWithScoreAndSocialProof + ], + utegTweetScribeLogger: UtegTweetScribeLogger, + tweetInfoStore: ReadableStore[TweetId, TweetInfo], + realGraphInSourceGraphFetcher: RealGraphInSourceGraphFetcher, + utegFilterRunner: UtegFilterRunner, + globalStats: StatsReceiver) { + + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + private val fetchSeedsStats = stats.scope("fetchSeeds") + private val fetchCandidatesStats = stats.scope("fetchCandidates") + private val utegFilterStats = stats.scope("utegFilter") + private val rankStats = stats.scope("rank") + + def get( + query: UtegTweetCandidateGeneratorQuery + ): Future[Seq[TweetWithScoreAndSocialProof]] = { + + val allStats = stats.scope("all") + val perProductStats = stats.scope("perProduct", query.product.toString) + StatsUtil.trackItemsStats(allStats) { + StatsUtil.trackItemsStats(perProductStats) { + + /** + * The candidate we return in the end needs a social proof field, which isn't + * supported by the any existing Candidate type, so we created TweetWithScoreAndSocialProof + * instead. + * + * However, filters and light ranker expect Candidate-typed param to work. In order to minimise the + * changes to them, we are doing conversions from/to TweetWithScoreAndSocialProof to/from Candidate + * in this method. + */ + for { + realGraphSeeds <- StatsUtil.trackItemMapStats(fetchSeedsStats) { + fetchSeeds(query) + } + initialTweets <- StatsUtil.trackItemsStats(fetchCandidatesStats) { + fetchCandidates(query, realGraphSeeds) + } + initialCandidates <- convertToInitialCandidates(initialTweets) + filteredCandidates <- StatsUtil.trackItemsStats(utegFilterStats) { + utegFilter(query, initialCandidates) + } + rankedCandidates <- StatsUtil.trackItemsStats(rankStats) { + rankCandidates(query, filteredCandidates) + } + } yield { + val topTweets = rankedCandidates.take(query.maxNumResults) + convertToTweets(topTweets, initialTweets.map(tweet => tweet.tweetId -> tweet).toMap) + } + } + } + } + + private def utegFilter( + query: UtegTweetCandidateGeneratorQuery, + candidates: Seq[InitialCandidate] + ): Future[Seq[InitialCandidate]] = { + utegFilterRunner.runSequentialFilters(query, Seq(candidates)).map(_.flatten) + } + + private def fetchSeeds( + query: UtegTweetCandidateGeneratorQuery + ): Future[Map[UserId, Double]] = { + realGraphInSourceGraphFetcher + .get(FetcherQuery(query.userId, query.product, query.userState, query.params)) + .map(_.map(_.seedWithScores).getOrElse(Map.empty)) + } + + private[candidate_generation] def rankCandidates( + query: UtegTweetCandidateGeneratorQuery, + filteredCandidates: Seq[InitialCandidate], + ): Future[Seq[RankedCandidate]] = { + val blendedCandidates = filteredCandidates.map(candidate => + candidate.toBlendedCandidate(Seq(candidate.candidateGenerationInfo))) + + Future( + blendedCandidates.map { candidate => + val score = candidate.getSimilarityScore + candidate.toRankedCandidate(score) + } + ) + + } + + def fetchCandidates( + query: UtegTweetCandidateGeneratorQuery, + realGraphSeeds: Map[UserId, Double], + ): Future[Seq[TweetWithScoreAndSocialProof]] = { + val engineQuery = UserTweetEntityGraphSimilarityEngine.fromParams( + query.userId, + realGraphSeeds, + Some(query.impressedTweetList.toSeq), + query.params + ) + + utegTweetScribeLogger.scribeInitialCandidates( + query, + userTweetEntityGraphSimilarityEngine.getCandidates(engineQuery).map(_.toSeq.flatten) + ) + } + + private[candidate_generation] def convertToInitialCandidates( + candidates: Seq[TweetWithScoreAndSocialProof], + ): Future[Seq[InitialCandidate]] = { + val tweetIds = candidates.map(_.tweetId).toSet + Future.collect(tweetInfoStore.multiGet(tweetIds)).map { tweetInfos => + /** * + * If tweetInfo does not exist, we will filter out this tweet candidate. + */ + candidates.collect { + case candidate if tweetInfos.getOrElse(candidate.tweetId, None).isDefined => + val tweetInfo = tweetInfos(candidate.tweetId) + .getOrElse(throw new IllegalStateException("Check previous line's condition")) + + InitialCandidate( + tweetId = candidate.tweetId, + tweetInfo = tweetInfo, + CandidateGenerationInfo( + None, + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.Uteg, + modelId = None, + score = Some(candidate.score)), + Seq.empty + ) + ) + } + } + } + + private[candidate_generation] def convertToTweets( + candidates: Seq[RankedCandidate], + tweetMap: Map[TweetId, TweetWithScoreAndSocialProof] + ): Seq[TweetWithScoreAndSocialProof] = { + candidates.map { candidate => + tweetMap + .get(candidate.tweetId).map { tweet => + TweetWithScoreAndSocialProof( + tweet.tweetId, + candidate.predictionScore, + tweet.socialProofByType + ) + // The exception should never be thrown + }.getOrElse(throw new Exception("Cannot find ranked candidate in original UTEG tweets")) + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/BUILD new file mode 100644 index 000000000..11b558321 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/BUILD @@ -0,0 +1,13 @@ +scala_library( + sources = ["*.scala"], + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/exception", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "finatra/inject/inject-core/src/main/scala", + "simclusters-ann/thrift/src/main/thrift:thrift-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/SimClustersANNConfig.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/SimClustersANNConfig.scala new file mode 100644 index 000000000..dbf3ad6fd --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/SimClustersANNConfig.scala @@ -0,0 +1,473 @@ +package com.twitter.cr_mixer.config + +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.exception.InvalidSANNConfigException +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclustersann.thriftscala.ScoringAlgorithm +import com.twitter.simclustersann.thriftscala.{SimClustersANNConfig => ThriftSimClustersANNConfig} +import com.twitter.util.Duration + +case class SimClustersANNConfig( + maxNumResults: Int, + minScore: Double, + candidateEmbeddingType: EmbeddingType, + maxTopTweetsPerCluster: Int, + maxScanClusters: Int, + maxTweetCandidateAge: Duration, + minTweetCandidateAge: Duration, + annAlgorithm: ScoringAlgorithm) { + val toSANNConfigThrift: ThriftSimClustersANNConfig = ThriftSimClustersANNConfig( + maxNumResults = maxNumResults, + minScore = minScore, + candidateEmbeddingType = candidateEmbeddingType, + maxTopTweetsPerCluster = maxTopTweetsPerCluster, + maxScanClusters = maxScanClusters, + maxTweetCandidateAgeHours = maxTweetCandidateAge.inHours, + minTweetCandidateAgeHours = minTweetCandidateAge.inHours, + annAlgorithm = annAlgorithm, + ) +} + +object SimClustersANNConfig { + + final val DefaultConfig = SimClustersANNConfig( + maxNumResults = 200, + minScore = 0.0, + candidateEmbeddingType = EmbeddingType.LogFavBasedTweet, + maxTopTweetsPerCluster = 800, + maxScanClusters = 50, + maxTweetCandidateAge = 24.hours, + minTweetCandidateAge = 0.hours, + annAlgorithm = ScoringAlgorithm.CosineSimilarity, + ) + + /* + SimClustersANNConfigId: String + Format: Prod - “EmbeddingType_ModelVersion_Default” + Format: Experiment - “EmbeddingType_ModelVersion_Date_Two-Digit-Serial-Number”. Date : YYYYMMDD + */ + + private val FavBasedProducer_Model20m145k2020_Default = DefaultConfig.copy() + + // Chunnan's exp on maxTweetCandidateAgeDays 2 + private val FavBasedProducer_Model20m145k2020_20220617_06 = + FavBasedProducer_Model20m145k2020_Default.copy( + maxTweetCandidateAge = 48.hours, + ) + + // Experimental SANN config + private val FavBasedProducer_Model20m145k2020_20220801 = + FavBasedProducer_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.VideoPlayBack50LogFavBasedTweet, + ) + + // SANN-1 config + private val FavBasedProducer_Model20m145k2020_20220810 = + FavBasedProducer_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-2 config + private val FavBasedProducer_Model20m145k2020_20220818 = + FavBasedProducer_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavClickBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-3 config + private val FavBasedProducer_Model20m145k2020_20220819 = + FavBasedProducer_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.PushOpenLogFavBasedTweet, + ) + + // SANN-5 config + private val FavBasedProducer_Model20m145k2020_20221221 = + FavBasedProducer_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedRealTimeTweet, + maxTweetCandidateAge = 1.hours + ) + + // SANN-4 config + private val FavBasedProducer_Model20m145k2020_20221220 = + FavBasedProducer_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedEvergreenTweet, + maxTweetCandidateAge = 48.hours + ) + private val LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default = DefaultConfig.copy() + + // Chunnan's exp on maxTweetCandidateAgeDays 2 + private val LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220617_06 = + LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default.copy( + maxTweetCandidateAge = 48.hours, + ) + + // Experimental SANN config + private val LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220801 = + LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.VideoPlayBack50LogFavBasedTweet, + ) + + // SANN-1 config + private val LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220810 = + LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-2 config + private val LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220818 = + LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavClickBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-3 config + private val LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220819 = + LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.PushOpenLogFavBasedTweet, + ) + + // SANN-5 config + private val LogFavLongestL2EmbeddingTweet_Model20m145k2020_20221221 = + LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedRealTimeTweet, + maxTweetCandidateAge = 1.hours + ) + // SANN-4 config + private val LogFavLongestL2EmbeddingTweet_Model20m145k2020_20221220 = + LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedEvergreenTweet, + maxTweetCandidateAge = 48.hours + ) + private val UnfilteredUserInterestedIn_Model20m145k2020_Default = DefaultConfig.copy() + + // Chunnan's exp on maxTweetCandidateAgeDays 2 + private val UnfilteredUserInterestedIn_Model20m145k2020_20220617_06 = + UnfilteredUserInterestedIn_Model20m145k2020_Default.copy( + maxTweetCandidateAge = 48.hours, + ) + + // Experimental SANN config + private val UnfilteredUserInterestedIn_Model20m145k2020_20220801 = + UnfilteredUserInterestedIn_Model20m145k2020_20220617_06.copy( + candidateEmbeddingType = EmbeddingType.VideoPlayBack50LogFavBasedTweet, + ) + + // SANN-1 config + private val UnfilteredUserInterestedIn_Model20m145k2020_20220810 = + UnfilteredUserInterestedIn_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-2 config + private val UnfilteredUserInterestedIn_Model20m145k2020_20220818 = + UnfilteredUserInterestedIn_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavClickBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-3 config + private val UnfilteredUserInterestedIn_Model20m145k2020_20220819 = + UnfilteredUserInterestedIn_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.PushOpenLogFavBasedTweet, + ) + + // SANN-5 config + private val UnfilteredUserInterestedIn_Model20m145k2020_20221221 = + UnfilteredUserInterestedIn_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedRealTimeTweet, + maxTweetCandidateAge = 1.hours + ) + + // SANN-4 config + private val UnfilteredUserInterestedIn_Model20m145k2020_20221220 = + UnfilteredUserInterestedIn_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedEvergreenTweet, + maxTweetCandidateAge = 48.hours + ) + private val LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default = DefaultConfig.copy() + + // Chunnan's exp on maxTweetCandidateAgeDays 2 + private val LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220617_06 = + LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default.copy( + maxTweetCandidateAge = 48.hours, + ) + + // Experimental SANN config + private val LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220801 = + LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.VideoPlayBack50LogFavBasedTweet, + ) + + // SANN-1 config + private val LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220810 = + LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-2 config + private val LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220818 = + LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavClickBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-3 config + private val LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220819 = + LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.PushOpenLogFavBasedTweet, + ) + + // SANN-5 config + private val LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20221221 = + LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedRealTimeTweet, + maxTweetCandidateAge = 1.hours + ) + + // SANN-4 config + private val LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20221220 = + LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedEvergreenTweet, + maxTweetCandidateAge = 48.hours + ) + private val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default = + DefaultConfig.copy() + + // Chunnan's exp on maxTweetCandidateAgeDays 2 + private val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220617_06 = + LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default.copy( + maxTweetCandidateAge = 48.hours, + ) + + // Experimental SANN config + private val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220801 = + LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.VideoPlayBack50LogFavBasedTweet, + ) + + // SANN-1 config + private val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220810 = + LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-2 config + private val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220818 = + LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavClickBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-3 config + private val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220819 = + LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.PushOpenLogFavBasedTweet, + ) + + // SANN-5 config + private val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20221221 = + LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedRealTimeTweet, + maxTweetCandidateAge = 1.hours + ) + + // SANN-4 config + private val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20221220 = + LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedEvergreenTweet, + maxTweetCandidateAge = 48.hours + ) + private val UserNextInterestedIn_Model20m145k2020_Default = DefaultConfig.copy() + + // Chunnan's exp on maxTweetCandidateAgeDays 2 + private val UserNextInterestedIn_Model20m145k2020_20220617_06 = + UserNextInterestedIn_Model20m145k2020_Default.copy( + maxTweetCandidateAge = 48.hours, + ) + + // Experimental SANN config + private val UserNextInterestedIn_Model20m145k2020_20220801 = + UserNextInterestedIn_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.VideoPlayBack50LogFavBasedTweet, + ) + + // SANN-1 config + private val UserNextInterestedIn_Model20m145k2020_20220810 = + UserNextInterestedIn_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-2 config + private val UserNextInterestedIn_Model20m145k2020_20220818 = + UserNextInterestedIn_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavClickBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-3 config + private val UserNextInterestedIn_Model20m145k2020_20220819 = + UserNextInterestedIn_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.PushOpenLogFavBasedTweet, + ) + + // SANN-5 config + private val UserNextInterestedIn_Model20m145k2020_20221221 = + UserNextInterestedIn_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedRealTimeTweet, + maxTweetCandidateAge = 1.hours + ) + + // SANN-4 config + private val UserNextInterestedIn_Model20m145k2020_20221220 = + UserNextInterestedIn_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedEvergreenTweet, + maxTweetCandidateAge = 48.hours + ) + // Vincent's experiment on using FollowBasedProducer as query embedding type for UserFollow + private val FollowBasedProducer_Model20m145k2020_Default = + FavBasedProducer_Model20m145k2020_Default.copy() + + // Experimental SANN config + private val FollowBasedProducer_Model20m145k2020_20220801 = + FavBasedProducer_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.VideoPlayBack50LogFavBasedTweet, + ) + + // SANN-1 config + private val FollowBasedProducer_Model20m145k2020_20220810 = + FavBasedProducer_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-2 config + private val FollowBasedProducer_Model20m145k2020_20220818 = + FavBasedProducer_Model20m145k2020_Default.copy( + maxNumResults = 100, + candidateEmbeddingType = EmbeddingType.LogFavClickBasedAdsTweet, + maxTweetCandidateAge = 175200.hours, + maxTopTweetsPerCluster = 1600 + ) + + // SANN-3 config + private val FollowBasedProducer_Model20m145k2020_20220819 = + FavBasedProducer_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.PushOpenLogFavBasedTweet, + ) + + // SANN-5 config + private val FollowBasedProducer_Model20m145k2020_20221221 = + FavBasedProducer_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedRealTimeTweet, + maxTweetCandidateAge = 1.hours + ) + + // SANN-4 config + private val FollowBasedProducer_Model20m145k2020_20221220 = + FavBasedProducer_Model20m145k2020_Default.copy( + candidateEmbeddingType = EmbeddingType.LogFavBasedEvergreenTweet, + maxTweetCandidateAge = 48.hours + ) + val DefaultConfigMappings: Map[String, SimClustersANNConfig] = Map( + "FavBasedProducer_Model20m145k2020_Default" -> FavBasedProducer_Model20m145k2020_Default, + "FavBasedProducer_Model20m145k2020_20220617_06" -> FavBasedProducer_Model20m145k2020_20220617_06, + "FavBasedProducer_Model20m145k2020_20220801" -> FavBasedProducer_Model20m145k2020_20220801, + "FavBasedProducer_Model20m145k2020_20220810" -> FavBasedProducer_Model20m145k2020_20220810, + "FavBasedProducer_Model20m145k2020_20220818" -> FavBasedProducer_Model20m145k2020_20220818, + "FavBasedProducer_Model20m145k2020_20220819" -> FavBasedProducer_Model20m145k2020_20220819, + "FavBasedProducer_Model20m145k2020_20221221" -> FavBasedProducer_Model20m145k2020_20221221, + "FavBasedProducer_Model20m145k2020_20221220" -> FavBasedProducer_Model20m145k2020_20221220, + "FollowBasedProducer_Model20m145k2020_Default" -> FollowBasedProducer_Model20m145k2020_Default, + "FollowBasedProducer_Model20m145k2020_20220801" -> FollowBasedProducer_Model20m145k2020_20220801, + "FollowBasedProducer_Model20m145k2020_20220810" -> FollowBasedProducer_Model20m145k2020_20220810, + "FollowBasedProducer_Model20m145k2020_20220818" -> FollowBasedProducer_Model20m145k2020_20220818, + "FollowBasedProducer_Model20m145k2020_20220819" -> FollowBasedProducer_Model20m145k2020_20220819, + "FollowBasedProducer_Model20m145k2020_20221221" -> FollowBasedProducer_Model20m145k2020_20221221, + "FollowBasedProducer_Model20m145k2020_20221220" -> FollowBasedProducer_Model20m145k2020_20221220, + "LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default" -> LogFavLongestL2EmbeddingTweet_Model20m145k2020_Default, + "LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220617_06" -> LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220617_06, + "LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220801" -> LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220801, + "LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220810" -> LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220810, + "LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220818" -> LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220818, + "LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220819" -> LogFavLongestL2EmbeddingTweet_Model20m145k2020_20220819, + "LogFavLongestL2EmbeddingTweet_Model20m145k2020_20221221" -> LogFavLongestL2EmbeddingTweet_Model20m145k2020_20221221, + "LogFavLongestL2EmbeddingTweet_Model20m145k2020_20221220" -> LogFavLongestL2EmbeddingTweet_Model20m145k2020_20221220, + "UnfilteredUserInterestedIn_Model20m145k2020_Default" -> UnfilteredUserInterestedIn_Model20m145k2020_Default, + "UnfilteredUserInterestedIn_Model20m145k2020_20220617_06" -> UnfilteredUserInterestedIn_Model20m145k2020_20220617_06, + "UnfilteredUserInterestedIn_Model20m145k2020_20220801" -> UnfilteredUserInterestedIn_Model20m145k2020_20220801, + "UnfilteredUserInterestedIn_Model20m145k2020_20220810" -> UnfilteredUserInterestedIn_Model20m145k2020_20220810, + "UnfilteredUserInterestedIn_Model20m145k2020_20220818" -> UnfilteredUserInterestedIn_Model20m145k2020_20220818, + "UnfilteredUserInterestedIn_Model20m145k2020_20220819" -> UnfilteredUserInterestedIn_Model20m145k2020_20220819, + "UnfilteredUserInterestedIn_Model20m145k2020_20221221" -> UnfilteredUserInterestedIn_Model20m145k2020_20221221, + "UnfilteredUserInterestedIn_Model20m145k2020_20221220" -> UnfilteredUserInterestedIn_Model20m145k2020_20221220, + "LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default" -> LogFavBasedUserInterestedInFromAPE_Model20m145k2020_Default, + "LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220617_06" -> LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220617_06, + "LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220801" -> LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220801, + "LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220810" -> LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220810, + "LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220818" -> LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220818, + "LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220819" -> LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20220819, + "LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20221221" -> LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20221221, + "LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20221220" -> LogFavBasedUserInterestedInFromAPE_Model20m145k2020_20221220, + "LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default" -> LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_Default, + "LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220617_06" -> LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220617_06, + "LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220801" -> LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220801, + "LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220810" -> LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220810, + "LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220818" -> LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220818, + "LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220819" -> LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20220819, + "LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20221221" -> LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20221221, + "LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20221220" -> LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE_Model20m145k2020_20221220, + "UserNextInterestedIn_Model20m145k2020_Default" -> UserNextInterestedIn_Model20m145k2020_Default, + "UserNextInterestedIn_Model20m145k2020_20220617_06" -> UserNextInterestedIn_Model20m145k2020_20220617_06, + "UserNextInterestedIn_Model20m145k2020_20220801" -> UserNextInterestedIn_Model20m145k2020_20220801, + "UserNextInterestedIn_Model20m145k2020_20220810" -> UserNextInterestedIn_Model20m145k2020_20220810, + "UserNextInterestedIn_Model20m145k2020_20220818" -> UserNextInterestedIn_Model20m145k2020_20220818, + "UserNextInterestedIn_Model20m145k2020_20220819" -> UserNextInterestedIn_Model20m145k2020_20220819, + "UserNextInterestedIn_Model20m145k2020_20221221" -> UserNextInterestedIn_Model20m145k2020_20221221, + "UserNextInterestedIn_Model20m145k2020_20221220" -> UserNextInterestedIn_Model20m145k2020_20221220, + ) + + def getConfig( + embeddingType: String, + modelVersion: String, + id: String + ): SimClustersANNConfig = { + val configName = embeddingType + "_" + modelVersion + "_" + id + DefaultConfigMappings.get(configName) match { + case Some(config) => config + case None => + throw InvalidSANNConfigException(s"Incorrect config id passed in for SANN $configName") + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/TimeoutConfig.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/TimeoutConfig.scala new file mode 100644 index 000000000..46e32990b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config/TimeoutConfig.scala @@ -0,0 +1,24 @@ +package com.twitter.cr_mixer.config + +import com.twitter.util.Duration + +case class TimeoutConfig( + /* Default timeouts for candidate generator */ + serviceTimeout: Duration, + signalFetchTimeout: Duration, + similarityEngineTimeout: Duration, + annServiceClientTimeout: Duration, + /* For Uteg Candidate Generator */ + utegSimilarityEngineTimeout: Duration, + /* For User State Store */ + userStateUnderlyingStoreTimeout: Duration, + userStateStoreTimeout: Duration, + /* For FRS based tweets */ + // Timeout passed to EarlyBird server + earlybirdServerTimeout: Duration, + // Timeout set on CrMixer side + earlybirdSimilarityEngineTimeout: Duration, + frsBasedTweetEndpointTimeout: Duration, + topicTweetEndpointTimeout: Duration, + // Timeout Settings for Navi gRPC Client + naviRequestTimeout: Duration) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/controller/BUILD.bazel b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/controller/BUILD.bazel new file mode 100644 index 000000000..b2f7d2f7d --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/controller/BUILD.bazel @@ -0,0 +1,48 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/src/jvm/com/twitter/storehaus:core", + "content-recommender/thrift/src/main/thrift:content-recommender-common-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/debug", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "finagle/finagle-base-http/src/main", + "finagle/finagle-core/src/main", + "finagle/finagle-http/src/main/scala", + "finatra/http-server/src/main/scala/com/twitter/finatra/http:controller", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift:controller", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/store/common", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "simclusters-ann/thrift/src/main/thrift:thrift-scala", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/ads/schema:common-scala", + "src/thrift/com/twitter/context:twitter-context-scala", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/frigate/data_pipeline/scalding:blue_verified_annotations-scala", + "src/thrift/com/twitter/onboarding/relevance/coldstart_lookalike:coldstartlookalike-thrift-scala", + "src/thrift/com/twitter/recos:recos-common-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "src/thrift/com/twitter/timelines/render:thrift-scala", + "src/thrift/com/twitter/timelines/timeline_logging:thrift-scala", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + "stringcenter/client", + "timelines/src/main/scala/com/twitter/timelines/tracing/lensview", + "timelines/src/main/scala/com/twitter/timelines/tracing/lensview/funnelseries", + "twitter-context/src/main/scala", + "user-signal-service/thrift/src/main/thrift:thrift-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/controller/CrMixerThriftController.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/controller/CrMixerThriftController.scala new file mode 100644 index 000000000..c16d76de8 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/controller/CrMixerThriftController.scala @@ -0,0 +1,757 @@ +package com.twitter.cr_mixer.controller + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.cr_mixer.candidate_generation.AdsCandidateGenerator +import com.twitter.cr_mixer.candidate_generation.CrCandidateGenerator +import com.twitter.cr_mixer.candidate_generation.FrsTweetCandidateGenerator +import com.twitter.cr_mixer.candidate_generation.RelatedTweetCandidateGenerator +import com.twitter.cr_mixer.candidate_generation.RelatedVideoTweetCandidateGenerator +import com.twitter.cr_mixer.candidate_generation.TopicTweetCandidateGenerator +import com.twitter.cr_mixer.candidate_generation.UtegTweetCandidateGenerator +import com.twitter.cr_mixer.featureswitch.ParamsBuilder +import com.twitter.cr_mixer.logging.CrMixerScribeLogger +import com.twitter.cr_mixer.logging.RelatedTweetScribeLogger +import com.twitter.cr_mixer.logging.AdsRecommendationsScribeLogger +import com.twitter.cr_mixer.logging.RelatedTweetScribeMetadata +import com.twitter.cr_mixer.logging.ScribeMetadata +import com.twitter.cr_mixer.logging.UtegTweetScribeLogger +import com.twitter.cr_mixer.model.AdsCandidateGeneratorQuery +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.FrsTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.RankedAdsCandidate +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.model.RelatedTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.RelatedVideoTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.TopicTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.TweetWithScoreAndSocialProof +import com.twitter.cr_mixer.model.UtegTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.param.AdsParams +import com.twitter.cr_mixer.param.FrsParams.FrsBasedCandidateGenerationMaxCandidatesNumParam +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.RelatedTweetGlobalParams +import com.twitter.cr_mixer.param.RelatedVideoTweetGlobalParams +import com.twitter.cr_mixer.param.TopicTweetParams +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.param.decider.EndpointLoadShedder +import com.twitter.cr_mixer.thriftscala.AdTweetRecommendation +import com.twitter.cr_mixer.thriftscala.AdsRequest +import com.twitter.cr_mixer.thriftscala.AdsResponse +import com.twitter.cr_mixer.thriftscala.CrMixerTweetRequest +import com.twitter.cr_mixer.thriftscala.CrMixerTweetResponse +import com.twitter.cr_mixer.thriftscala.FrsTweetRequest +import com.twitter.cr_mixer.thriftscala.FrsTweetResponse +import com.twitter.cr_mixer.thriftscala.RelatedTweet +import com.twitter.cr_mixer.thriftscala.RelatedTweetRequest +import com.twitter.cr_mixer.thriftscala.RelatedTweetResponse +import com.twitter.cr_mixer.thriftscala.RelatedVideoTweet +import com.twitter.cr_mixer.thriftscala.RelatedVideoTweetRequest +import com.twitter.cr_mixer.thriftscala.RelatedVideoTweetResponse +import com.twitter.cr_mixer.thriftscala.TopicTweet +import com.twitter.cr_mixer.thriftscala.TopicTweetRequest +import com.twitter.cr_mixer.thriftscala.TopicTweetResponse +import com.twitter.cr_mixer.thriftscala.TweetRecommendation +import com.twitter.cr_mixer.thriftscala.UtegTweet +import com.twitter.cr_mixer.thriftscala.UtegTweetRequest +import com.twitter.cr_mixer.thriftscala.UtegTweetResponse +import com.twitter.cr_mixer.util.MetricTagUtil +import com.twitter.cr_mixer.util.SignalTimestampStatsUtil +import com.twitter.cr_mixer.{thriftscala => t} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.thrift.Controller +import com.twitter.hermit.store.common.ReadableWritableStore +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.TopicId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.timeline_logging.{thriftscala => thriftlog} +import com.twitter.timelines.tracing.lensview.funnelseries.TweetScoreFunnelSeries +import com.twitter.util.Future +import com.twitter.util.Time +import java.util.UUID +import javax.inject.Inject +import org.apache.commons.lang.exception.ExceptionUtils + +class CrMixerThriftController @Inject() ( + crCandidateGenerator: CrCandidateGenerator, + relatedTweetCandidateGenerator: RelatedTweetCandidateGenerator, + relatedVideoTweetCandidateGenerator: RelatedVideoTweetCandidateGenerator, + utegTweetCandidateGenerator: UtegTweetCandidateGenerator, + frsTweetCandidateGenerator: FrsTweetCandidateGenerator, + topicTweetCandidateGenerator: TopicTweetCandidateGenerator, + crMixerScribeLogger: CrMixerScribeLogger, + relatedTweetScribeLogger: RelatedTweetScribeLogger, + utegTweetScribeLogger: UtegTweetScribeLogger, + adsRecommendationsScribeLogger: AdsRecommendationsScribeLogger, + adsCandidateGenerator: AdsCandidateGenerator, + decider: CrMixerDecider, + paramsBuilder: ParamsBuilder, + endpointLoadShedder: EndpointLoadShedder, + signalTimestampStatsUtil: SignalTimestampStatsUtil, + tweetRecommendationResultsStore: ReadableWritableStore[UserId, CrMixerTweetResponse], + userStateStore: ReadableStore[UserId, UserState], + statsReceiver: StatsReceiver) + extends Controller(t.CrMixer) { + + lazy private val tweetScoreFunnelSeries = new TweetScoreFunnelSeries(statsReceiver) + + private def logErrMessage(endpoint: String, e: Throwable): Unit = { + val msg = Seq( + s"Failed endpoint $endpoint: ${e.getLocalizedMessage}", + ExceptionUtils.getStackTrace(e) + ).mkString("\n") + + /** * + * We chose logger.info() here to print message instead of logger.error since that + * logger.error sometimes suppresses detailed stacktrace. + */ + logger.info(msg) + } + + private def generateRequestUUID(): Long = { + + /** * + * We generate unique UUID via bitwise operations. See the below link for more: + * https://stackoverflow.com/questions/15184820/how-to-generate-unique-positive-long-using-uuid + */ + UUID.randomUUID().getMostSignificantBits & Long.MaxValue + } + + handle(t.CrMixer.GetTweetRecommendations) { args: t.CrMixer.GetTweetRecommendations.Args => + val endpointName = "getTweetRecommendations" + + val requestUUID = generateRequestUUID() + val startTime = Time.now.inMilliseconds + val userId = args.request.clientContext.userId.getOrElse( + throw new IllegalArgumentException("userId must be present in the Thrift clientContext") + ) + val queryFut = buildCrCandidateGeneratorQuery(args.request, requestUUID, userId) + queryFut.flatMap { query => + val scribeMetadata = ScribeMetadata.from(query) + endpointLoadShedder(endpointName, query.product.originalName) { + + val response = crCandidateGenerator.get(query) + + val blueVerifiedScribedResponse = response.flatMap { rankedCandidates => + val hasBlueVerifiedCandidate = rankedCandidates.exists { tweet => + tweet.tweetInfo.hasBlueVerifiedAnnotation.contains(true) + } + + if (hasBlueVerifiedCandidate) { + crMixerScribeLogger.scribeGetTweetRecommendationsForBlueVerified( + scribeMetadata, + response) + } else { + response + } + } + + val thriftResponse = blueVerifiedScribedResponse.map { candidates => + if (query.product == t.Product.Home) { + scribeTweetScoreFunnelSeries(candidates) + } + buildThriftResponse(candidates) + } + + cacheTweetRecommendationResults(args.request, thriftResponse) + + crMixerScribeLogger.scribeGetTweetRecommendations( + args.request, + startTime, + scribeMetadata, + thriftResponse) + }.rescue { + case EndpointLoadShedder.LoadSheddingException => + Future(CrMixerTweetResponse(Seq.empty)) + case e => + logErrMessage(endpointName, e) + Future(CrMixerTweetResponse(Seq.empty)) + } + } + + } + + /** * + * GetRelatedTweetsForQueryTweet and GetRelatedTweetsForQueryAuthor are essentially + * doing very similar things, except that one passes in TweetId which calls TweetBased engine, + * and the other passes in AuthorId which calls ProducerBased engine. + */ + handle(t.CrMixer.GetRelatedTweetsForQueryTweet) { + args: t.CrMixer.GetRelatedTweetsForQueryTweet.Args => + val endpointName = "getRelatedTweetsForQueryTweet" + getRelatedTweets(endpointName, args.request) + } + + handle(t.CrMixer.GetRelatedVideoTweetsForQueryTweet) { + args: t.CrMixer.GetRelatedVideoTweetsForQueryTweet.Args => + val endpointName = "getRelatedVideoTweetsForQueryVideoTweet" + getRelatedVideoTweets(endpointName, args.request) + + } + + handle(t.CrMixer.GetRelatedTweetsForQueryAuthor) { + args: t.CrMixer.GetRelatedTweetsForQueryAuthor.Args => + val endpointName = "getRelatedTweetsForQueryAuthor" + getRelatedTweets(endpointName, args.request) + } + + private def getRelatedTweets( + endpointName: String, + request: RelatedTweetRequest + ): Future[RelatedTweetResponse] = { + val requestUUID = generateRequestUUID() + val startTime = Time.now.inMilliseconds + val queryFut = buildRelatedTweetQuery(request, requestUUID) + + queryFut.flatMap { query => + val relatedTweetScribeMetadata = RelatedTweetScribeMetadata.from(query) + endpointLoadShedder(endpointName, query.product.originalName) { + relatedTweetScribeLogger.scribeGetRelatedTweets( + request, + startTime, + relatedTweetScribeMetadata, + relatedTweetCandidateGenerator + .get(query) + .map(buildRelatedTweetResponse)) + }.rescue { + case EndpointLoadShedder.LoadSheddingException => + Future(RelatedTweetResponse(Seq.empty)) + case e => + logErrMessage(endpointName, e) + Future(RelatedTweetResponse(Seq.empty)) + } + } + + } + + private def getRelatedVideoTweets( + endpointName: String, + request: RelatedVideoTweetRequest + ): Future[RelatedVideoTweetResponse] = { + val requestUUID = generateRequestUUID() + val queryFut = buildRelatedVideoTweetQuery(request, requestUUID) + + queryFut.flatMap { query => + endpointLoadShedder(endpointName, query.product.originalName) { + relatedVideoTweetCandidateGenerator.get(query).map { initialCandidateSeq => + buildRelatedVideoTweetResponse(initialCandidateSeq) + } + }.rescue { + case EndpointLoadShedder.LoadSheddingException => + Future(RelatedVideoTweetResponse(Seq.empty)) + case e => + logErrMessage(endpointName, e) + Future(RelatedVideoTweetResponse(Seq.empty)) + } + } + } + + handle(t.CrMixer.GetFrsBasedTweetRecommendations) { + args: t.CrMixer.GetFrsBasedTweetRecommendations.Args => + val endpointName = "getFrsBasedTweetRecommendations" + + val requestUUID = generateRequestUUID() + val queryFut = buildFrsBasedTweetQuery(args.request, requestUUID) + queryFut.flatMap { query => + endpointLoadShedder(endpointName, query.product.originalName) { + frsTweetCandidateGenerator.get(query).map(FrsTweetResponse(_)) + }.rescue { + case e => + logErrMessage(endpointName, e) + Future(FrsTweetResponse(Seq.empty)) + } + } + } + + handle(t.CrMixer.GetTopicTweetRecommendations) { + args: t.CrMixer.GetTopicTweetRecommendations.Args => + val endpointName = "getTopicTweetRecommendations" + + val requestUUID = generateRequestUUID() + val query = buildTopicTweetQuery(args.request, requestUUID) + + endpointLoadShedder(endpointName, query.product.originalName) { + topicTweetCandidateGenerator.get(query).map(TopicTweetResponse(_)) + }.rescue { + case e => + logErrMessage(endpointName, e) + Future(TopicTweetResponse(Map.empty[Long, Seq[TopicTweet]])) + } + } + + handle(t.CrMixer.GetUtegTweetRecommendations) { + args: t.CrMixer.GetUtegTweetRecommendations.Args => + val endpointName = "getUtegTweetRecommendations" + + val requestUUID = generateRequestUUID() + val startTime = Time.now.inMilliseconds + val queryFut = buildUtegTweetQuery(args.request, requestUUID) + queryFut + .flatMap { query => + val scribeMetadata = ScribeMetadata.from(query) + endpointLoadShedder(endpointName, query.product.originalName) { + utegTweetScribeLogger.scribeGetUtegTweetRecommendations( + args.request, + startTime, + scribeMetadata, + utegTweetCandidateGenerator + .get(query) + .map(buildUtegTweetResponse) + ) + }.rescue { + case e => + logErrMessage(endpointName, e) + Future(UtegTweetResponse(Seq.empty)) + } + } + } + + handle(t.CrMixer.GetAdsRecommendations) { args: t.CrMixer.GetAdsRecommendations.Args => + val endpointName = "getAdsRecommendations" + val queryFut = buildAdsCandidateGeneratorQuery(args.request) + val startTime = Time.now.inMilliseconds + queryFut.flatMap { query => + { + val scribeMetadata = ScribeMetadata.from(query) + val response = adsCandidateGenerator + .get(query).map { candidates => + buildAdsResponse(candidates) + } + adsRecommendationsScribeLogger.scribeGetAdsRecommendations( + args.request, + startTime, + scribeMetadata, + response, + query.params(AdsParams.EnableScribe) + ) + }.rescue { + case e => + logErrMessage(endpointName, e) + Future(AdsResponse(Seq.empty)) + } + } + + } + + private def buildCrCandidateGeneratorQuery( + thriftRequest: CrMixerTweetRequest, + requestUUID: Long, + userId: Long + ): Future[CrCandidateGeneratorQuery] = { + + val product = thriftRequest.product + val productContext = thriftRequest.productContext + val scopedStats = statsReceiver + .scope(product.toString).scope("CrMixerTweetRequest") + + userStateStore + .get(userId).map { userStateOpt => + val userState = userStateOpt + .getOrElse(UserState.EnumUnknownUserState(100)) + scopedStats.scope("UserState").counter(userState.toString).incr() + + val params = + paramsBuilder.buildFromClientContext( + thriftRequest.clientContext, + thriftRequest.product, + userState + ) + + // Specify product-specific behavior mapping here + val maxNumResults = (product, productContext) match { + case (t.Product.Home, Some(t.ProductContext.HomeContext(homeContext))) => + homeContext.maxResults.getOrElse(9999) + case (t.Product.Notifications, Some(t.ProductContext.NotificationsContext(cxt))) => + params(GlobalParams.MaxCandidatesPerRequestParam) + case (t.Product.Email, None) => + params(GlobalParams.MaxCandidatesPerRequestParam) + case (t.Product.ImmersiveMediaViewer, None) => + params(GlobalParams.MaxCandidatesPerRequestParam) + case (t.Product.VideoCarousel, None) => + params(GlobalParams.MaxCandidatesPerRequestParam) + case _ => + throw new IllegalArgumentException( + s"Product ${product} and ProductContext ${productContext} are not allowed in CrMixer" + ) + } + + CrCandidateGeneratorQuery( + userId = userId, + product = product, + userState = userState, + maxNumResults = maxNumResults, + impressedTweetList = thriftRequest.excludedTweetIds.getOrElse(Nil).toSet, + params = params, + requestUUID = requestUUID, + languageCode = thriftRequest.clientContext.languageCode + ) + } + } + + private def buildRelatedTweetQuery( + thriftRequest: RelatedTweetRequest, + requestUUID: Long + ): Future[RelatedTweetCandidateGeneratorQuery] = { + + val product = thriftRequest.product + val scopedStats = statsReceiver + .scope(product.toString).scope("RelatedTweetRequest") + val userStateFut: Future[UserState] = (thriftRequest.clientContext.userId match { + case Some(userId) => userStateStore.get(userId) + case None => Future.value(Some(UserState.EnumUnknownUserState(100))) + }).map(_.getOrElse(UserState.EnumUnknownUserState(100))) + + userStateFut.map { userState => + scopedStats.scope("UserState").counter(userState.toString).incr() + val params = + paramsBuilder.buildFromClientContext( + thriftRequest.clientContext, + thriftRequest.product, + userState) + + // Specify product-specific behavior mapping here + // Currently, Home takes 10, and RUX takes 100 + val maxNumResults = params(RelatedTweetGlobalParams.MaxCandidatesPerRequestParam) + + RelatedTweetCandidateGeneratorQuery( + internalId = thriftRequest.internalId, + clientContext = thriftRequest.clientContext, + product = product, + maxNumResults = maxNumResults, + impressedTweetList = thriftRequest.excludedTweetIds.getOrElse(Nil).toSet, + params = params, + requestUUID = requestUUID + ) + } + } + + private def buildAdsCandidateGeneratorQuery( + thriftRequest: AdsRequest + ): Future[AdsCandidateGeneratorQuery] = { + val userId = thriftRequest.clientContext.userId.getOrElse( + throw new IllegalArgumentException("userId must be present in the Thrift clientContext") + ) + val product = thriftRequest.product + val requestUUID = generateRequestUUID() + userStateStore + .get(userId).map { userStateOpt => + val userState = userStateOpt + .getOrElse(UserState.EnumUnknownUserState(100)) + val params = + paramsBuilder.buildFromClientContext( + thriftRequest.clientContext, + thriftRequest.product, + userState) + val maxNumResults = params(AdsParams.AdsCandidateGenerationMaxCandidatesNumParam) + AdsCandidateGeneratorQuery( + userId = userId, + product = product, + userState = userState, + params = params, + maxNumResults = maxNumResults, + requestUUID = requestUUID + ) + } + } + + private def buildRelatedVideoTweetQuery( + thriftRequest: RelatedVideoTweetRequest, + requestUUID: Long + ): Future[RelatedVideoTweetCandidateGeneratorQuery] = { + + val product = thriftRequest.product + val scopedStats = statsReceiver + .scope(product.toString).scope("RelatedVideoTweetRequest") + val userStateFut: Future[UserState] = (thriftRequest.clientContext.userId match { + case Some(userId) => userStateStore.get(userId) + case None => Future.value(Some(UserState.EnumUnknownUserState(100))) + }).map(_.getOrElse(UserState.EnumUnknownUserState(100))) + + userStateFut.map { userState => + scopedStats.scope("UserState").counter(userState.toString).incr() + val params = + paramsBuilder.buildFromClientContext( + thriftRequest.clientContext, + thriftRequest.product, + userState) + + val maxNumResults = params(RelatedVideoTweetGlobalParams.MaxCandidatesPerRequestParam) + + RelatedVideoTweetCandidateGeneratorQuery( + internalId = thriftRequest.internalId, + clientContext = thriftRequest.clientContext, + product = product, + maxNumResults = maxNumResults, + impressedTweetList = thriftRequest.excludedTweetIds.getOrElse(Nil).toSet, + params = params, + requestUUID = requestUUID + ) + } + + } + + private def buildUtegTweetQuery( + thriftRequest: UtegTweetRequest, + requestUUID: Long + ): Future[UtegTweetCandidateGeneratorQuery] = { + + val userId = thriftRequest.clientContext.userId.getOrElse( + throw new IllegalArgumentException("userId must be present in the Thrift clientContext") + ) + val product = thriftRequest.product + val productContext = thriftRequest.productContext + val scopedStats = statsReceiver + .scope(product.toString).scope("UtegTweetRequest") + + userStateStore + .get(userId).map { userStateOpt => + val userState = userStateOpt + .getOrElse(UserState.EnumUnknownUserState(100)) + scopedStats.scope("UserState").counter(userState.toString).incr() + + val params = + paramsBuilder.buildFromClientContext( + thriftRequest.clientContext, + thriftRequest.product, + userState + ) + + // Specify product-specific behavior mapping here + val maxNumResults = (product, productContext) match { + case (t.Product.Home, Some(t.ProductContext.HomeContext(homeContext))) => + homeContext.maxResults.getOrElse(9999) + case _ => + throw new IllegalArgumentException( + s"Product ${product} and ProductContext ${productContext} are not allowed in CrMixer" + ) + } + + UtegTweetCandidateGeneratorQuery( + userId = userId, + product = product, + userState = userState, + maxNumResults = maxNumResults, + impressedTweetList = thriftRequest.excludedTweetIds.getOrElse(Nil).toSet, + params = params, + requestUUID = requestUUID + ) + } + + } + + private def buildTopicTweetQuery( + thriftRequest: TopicTweetRequest, + requestUUID: Long + ): TopicTweetCandidateGeneratorQuery = { + val userId = thriftRequest.clientContext.userId.getOrElse( + throw new IllegalArgumentException( + "userId must be present in the TopicTweetRequest clientContext") + ) + val product = thriftRequest.product + val productContext = thriftRequest.productContext + + // Specify product-specific behavior mapping here + val isVideoOnly = (product, productContext) match { + case (t.Product.ExploreTopics, Some(t.ProductContext.ExploreContext(context))) => + context.isVideoOnly + case (t.Product.TopicLandingPage, None) => + false + case (t.Product.HomeTopicsBackfill, None) => + false + case (t.Product.TopicTweetsStrato, None) => + false + case _ => + throw new IllegalArgumentException( + s"Product ${product} and ProductContext ${productContext} are not allowed in CrMixer" + ) + } + + statsReceiver.scope(product.toString).counter(TopicTweetRequest.toString).incr() + + val params = + paramsBuilder.buildFromClientContext( + thriftRequest.clientContext, + product, + UserState.EnumUnknownUserState(100) + ) + + val topicIds = thriftRequest.topicIds.map { topicId => + TopicId( + entityId = topicId, + language = thriftRequest.clientContext.languageCode, + country = None + ) + }.toSet + + TopicTweetCandidateGeneratorQuery( + userId = userId, + topicIds = topicIds, + product = product, + maxNumResults = params(TopicTweetParams.MaxTopicTweetCandidatesParam), + impressedTweetList = thriftRequest.excludedTweetIds.getOrElse(Nil).toSet, + params = params, + requestUUID = requestUUID, + isVideoOnly = isVideoOnly + ) + } + + private def buildFrsBasedTweetQuery( + thriftRequest: FrsTweetRequest, + requestUUID: Long + ): Future[FrsTweetCandidateGeneratorQuery] = { + val userId = thriftRequest.clientContext.userId.getOrElse( + throw new IllegalArgumentException( + "userId must be present in the FrsTweetRequest clientContext") + ) + val product = thriftRequest.product + val productContext = thriftRequest.productContext + + val scopedStats = statsReceiver + .scope(product.toString).scope("FrsTweetRequest") + + userStateStore + .get(userId).map { userStateOpt => + val userState = userStateOpt + .getOrElse(UserState.EnumUnknownUserState(100)) + scopedStats.scope("UserState").counter(userState.toString).incr() + + val params = + paramsBuilder.buildFromClientContext( + thriftRequest.clientContext, + thriftRequest.product, + userState + ) + val maxNumResults = (product, productContext) match { + case (t.Product.Home, Some(t.ProductContext.HomeContext(homeContext))) => + homeContext.maxResults.getOrElse( + params(FrsBasedCandidateGenerationMaxCandidatesNumParam)) + case _ => + params(FrsBasedCandidateGenerationMaxCandidatesNumParam) + } + + FrsTweetCandidateGeneratorQuery( + userId = userId, + product = product, + maxNumResults = maxNumResults, + impressedTweetList = thriftRequest.excludedTweetIds.getOrElse(Nil).toSet, + impressedUserList = thriftRequest.excludedUserIds.getOrElse(Nil).toSet, + params = params, + languageCodeOpt = thriftRequest.clientContext.languageCode, + countryCodeOpt = thriftRequest.clientContext.countryCode, + requestUUID = requestUUID + ) + } + } + + private def buildThriftResponse( + candidates: Seq[RankedCandidate] + ): CrMixerTweetResponse = { + + val tweets = candidates.map { candidate => + TweetRecommendation( + tweetId = candidate.tweetId, + score = candidate.predictionScore, + metricTags = Some(MetricTagUtil.buildMetricTags(candidate)), + latestSourceSignalTimestampInMillis = + SignalTimestampStatsUtil.buildLatestSourceSignalTimestamp(candidate) + ) + } + signalTimestampStatsUtil.statsSignalTimestamp(tweets) + CrMixerTweetResponse(tweets) + } + + private def scribeTweetScoreFunnelSeries( + candidates: Seq[RankedCandidate] + ): Seq[RankedCandidate] = { + // 202210210901 is a random number for code search of Lensview + tweetScoreFunnelSeries.startNewSpan( + name = "GetTweetRecommendationsTopLevelTweetSimilarityEngineType", + codePtr = 202210210901L) { + ( + candidates, + candidates.map { candidate => + thriftlog.TweetDimensionMeasure( + dimension = Some( + thriftlog + .RequestTweetDimension( + candidate.tweetId, + candidate.reasonChosen.similarityEngineInfo.similarityEngineType.value)), + measure = Some(thriftlog.RequestTweetMeasure(candidate.predictionScore)) + ) + } + ) + } + } + + private def buildRelatedTweetResponse(candidates: Seq[InitialCandidate]): RelatedTweetResponse = { + val tweets = candidates.map { candidate => + RelatedTweet( + tweetId = candidate.tweetId, + score = Some(candidate.getSimilarityScore), + authorId = Some(candidate.tweetInfo.authorId) + ) + } + RelatedTweetResponse(tweets) + } + + private def buildRelatedVideoTweetResponse( + candidates: Seq[InitialCandidate] + ): RelatedVideoTweetResponse = { + val tweets = candidates.map { candidate => + RelatedVideoTweet( + tweetId = candidate.tweetId, + score = Some(candidate.getSimilarityScore) + ) + } + RelatedVideoTweetResponse(tweets) + } + + private def buildUtegTweetResponse( + candidates: Seq[TweetWithScoreAndSocialProof] + ): UtegTweetResponse = { + val tweets = candidates.map { candidate => + UtegTweet( + tweetId = candidate.tweetId, + score = candidate.score, + socialProofByType = candidate.socialProofByType + ) + } + UtegTweetResponse(tweets) + } + + private def buildAdsResponse( + candidates: Seq[RankedAdsCandidate] + ): AdsResponse = { + AdsResponse(ads = candidates.map { candidate => + AdTweetRecommendation( + tweetId = candidate.tweetId, + score = candidate.predictionScore, + lineItems = Some(candidate.lineItemInfo)) + }) + } + + private def cacheTweetRecommendationResults( + request: CrMixerTweetRequest, + response: Future[CrMixerTweetResponse] + ): Unit = { + + val userId = request.clientContext.userId.getOrElse( + throw new IllegalArgumentException( + "userId must be present in getTweetRecommendations() Thrift clientContext")) + + if (decider.isAvailableForId(userId, DeciderConstants.getTweetRecommendationsCacheRate)) { + response.map { crMixerTweetResponse => + { + ( + request.product, + request.clientContext.userId, + crMixerTweetResponse.tweets.nonEmpty) match { + case (t.Product.Home, Some(userId), true) => + tweetRecommendationResultsStore.put((userId, crMixerTweetResponse)) + case _ => Future.value(Unit) + } + } + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/exception/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/exception/BUILD new file mode 100644 index 000000000..60521ad51 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/exception/BUILD @@ -0,0 +1,7 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/exception/InvalidSANNConfigException.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/exception/InvalidSANNConfigException.scala new file mode 100644 index 000000000..a8ada7abf --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/exception/InvalidSANNConfigException.scala @@ -0,0 +1,4 @@ +package com.twitter.cr_mixer +package exception + +case class InvalidSANNConfigException(msg: String) extends Exception(msg) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/BUILD new file mode 100644 index 000000000..d728980f6 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/BUILD @@ -0,0 +1,35 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "abdecider/src/main/scala", + "configapi/configapi-abdecider", + "configapi/configapi-core", + "configapi/configapi-featureswitches:v2", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "discovery-common/src/main/scala/com/twitter/discovery/common/configapi", + "featureswitches/featureswitches-core", + "featureswitches/featureswitches-core/src/main/scala/com/twitter/featureswitches/v2/builder", + "finagle-internal/mtls/src/main/scala/com/twitter/finagle/mtls/authentication", + "frigate/frigate-common:util", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/candidate", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store/health", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store/interests", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store/strato", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/util", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "scribelib/marshallers/src/main/scala/com/twitter/scribelib/marshallers", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/frigate:frigate-common-thrift-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/CrMixerLoggingABDecider.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/CrMixerLoggingABDecider.scala new file mode 100644 index 000000000..20195921e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/CrMixerLoggingABDecider.scala @@ -0,0 +1,79 @@ +package com.twitter.cr_mixer +package featureswitch + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.abdecider.LoggingABDecider +import com.twitter.abdecider.Recipient +import com.twitter.abdecider.Bucket +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.util.Local +import scala.collection.concurrent.{Map => ConcurrentMap} + +/** + * Wraps a LoggingABDecider, so all impressed buckets are recorded to a 'LocalContext' on a given request. + * + * Contexts (https://twitter.github.io/finagle/guide/Contexts.html) are Finagle's mechanism for + * storing state/variables without having to pass these variables all around the request. + * + * In order for this class to be used the [[SetImpressedBucketsLocalContextFilter]] must be applied + * at the beginning of the request, to initialize a concurrent map used to store impressed buckets. + * + * Whenever we get an a/b impression, the bucket information is logged to the concurrent hashmap. + */ +case class CrMixerLoggingABDecider( + loggingAbDecider: LoggingABDecider, + statsReceiver: StatsReceiver) + extends LoggingABDecider { + + private val scopedStatsReceiver = statsReceiver.scope("cr_logging_ab_decider") + + override def impression( + experimentName: String, + recipient: Recipient + ): Option[Bucket] = { + + StatsUtil.trackNonFutureBlockStats(scopedStatsReceiver.scope("log_impression")) { + val maybeBuckets = loggingAbDecider.impression(experimentName, recipient) + maybeBuckets.foreach { b => + scopedStatsReceiver.counter("impressions").incr() + CrMixerImpressedBuckets.recordImpressedBucket(b) + } + maybeBuckets + } + } + + override def track( + experimentName: String, + eventName: String, + recipient: Recipient + ): Unit = { + loggingAbDecider.track(experimentName, eventName, recipient) + } + + override def bucket( + experimentName: String, + recipient: Recipient + ): Option[Bucket] = { + loggingAbDecider.bucket(experimentName, recipient) + } + + override def experiments: Seq[String] = loggingAbDecider.experiments + + override def experiment(experimentName: String) = + loggingAbDecider.experiment(experimentName) +} + +object CrMixerImpressedBuckets { + private[featureswitch] val localImpressedBucketsMap = new Local[ConcurrentMap[Bucket, Boolean]] + + /** + * Gets all impressed buckets for this request. + **/ + def getAllImpressedBuckets: Option[List[Bucket]] = { + localImpressedBucketsMap.apply().map(_.map { case (k, _) => k }.toList) + } + + private[featureswitch] def recordImpressedBucket(bucket: Bucket) = { + localImpressedBucketsMap().foreach { m => m += bucket -> true } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/ParamsBuilder.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/ParamsBuilder.scala new file mode 100644 index 000000000..c322c456e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/ParamsBuilder.scala @@ -0,0 +1,151 @@ +package com.twitter.cr_mixer.featureswitch + +import com.twitter.abdecider.LoggingABDecider +import com.twitter.abdecider.UserRecipient +import com.twitter.cr_mixer.{thriftscala => t} +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.discovery.common.configapi.FeatureContextBuilder +import com.twitter.featureswitches.FSRecipient +import com.twitter.featureswitches.UserAgent +import com.twitter.featureswitches.{Recipient => FeatureSwitchRecipient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.product_mixer.core.thriftscala.ClientContext +import com.twitter.timelines.configapi.Config +import com.twitter.timelines.configapi.FeatureValue +import com.twitter.timelines.configapi.ForcedFeatureContext +import com.twitter.timelines.configapi.OrElseFeatureContext +import com.twitter.timelines.configapi.Params +import com.twitter.timelines.configapi.RequestContext +import com.twitter.timelines.configapi.abdecider.LoggingABDeciderExperimentContext +import javax.inject.Inject +import javax.inject.Singleton + +/** Singleton object for building [[Params]] to override */ +@Singleton +class ParamsBuilder @Inject() ( + globalStats: StatsReceiver, + abDecider: LoggingABDecider, + featureContextBuilder: FeatureContextBuilder, + config: Config) { + + private val stats = globalStats.scope("params") + + def buildFromClientContext( + clientContext: ClientContext, + product: t.Product, + userState: UserState, + userRoleOverride: Option[Set[String]] = None, + featureOverrides: Map[String, FeatureValue] = Map.empty, + ): Params = { + clientContext.userId match { + case Some(userId) => + val userRecipient = buildFeatureSwitchRecipient( + userId, + userRoleOverride, + clientContext, + product, + userState + ) + + val featureContext = OrElseFeatureContext( + ForcedFeatureContext(featureOverrides), + featureContextBuilder( + Some(userId), + Some(userRecipient) + )) + + config( + requestContext = RequestContext( + userId = Some(userId), + experimentContext = LoggingABDeciderExperimentContext( + abDecider, + Some(UserRecipient(userId, Some(userId)))), + featureContext = featureContext + ), + stats + ) + case None => + val guestRecipient = + buildFeatureSwitchRecipientWithGuestId(clientContext: ClientContext, product, userState) + + val featureContext = OrElseFeatureContext( + ForcedFeatureContext(featureOverrides), + featureContextBuilder( + clientContext.userId, + Some(guestRecipient) + ) + ) //ExperimentContext with GuestRecipient is not supported as there is no active use-cases yet in CrMixer + + config( + requestContext = RequestContext( + userId = clientContext.userId, + featureContext = featureContext + ), + stats + ) + } + } + + private def buildFeatureSwitchRecipientWithGuestId( + clientContext: ClientContext, + product: t.Product, + userState: UserState + ): FeatureSwitchRecipient = { + + val recipient = FSRecipient( + userId = None, + userRoles = None, + deviceId = clientContext.deviceId, + guestId = clientContext.guestId, + languageCode = clientContext.languageCode, + countryCode = clientContext.countryCode, + userAgent = clientContext.userAgent.flatMap(UserAgent(_)), + isVerified = None, + isTwoffice = None, + tooClient = None, + highWaterMark = None + ) + + recipient.withCustomFields( + (ParamsBuilder.ProductCustomField, product.toString), + (ParamsBuilder.UserStateCustomField, userState.toString) + ) + } + + private def buildFeatureSwitchRecipient( + userId: Long, + userRolesOverride: Option[Set[String]], + clientContext: ClientContext, + product: t.Product, + userState: UserState + ): FeatureSwitchRecipient = { + val userRoles = userRolesOverride match { + case Some(overrides) => Some(overrides) + case _ => clientContext.userRoles.map(_.toSet) + } + + val recipient = FSRecipient( + userId = Some(userId), + userRoles = userRoles, + deviceId = clientContext.deviceId, + guestId = clientContext.guestId, + languageCode = clientContext.languageCode, + countryCode = clientContext.countryCode, + userAgent = clientContext.userAgent.flatMap(UserAgent(_)), + isVerified = None, + isTwoffice = None, + tooClient = None, + highWaterMark = None + ) + + recipient.withCustomFields( + (ParamsBuilder.ProductCustomField, product.toString), + (ParamsBuilder.UserStateCustomField, userState.toString) + ) + } +} + +object ParamsBuilder { + private val ProductCustomField = "product_id" + private val UserStateCustomField = "user_state" +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/SetImpressedBucketsLocalContextFilter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/SetImpressedBucketsLocalContextFilter.scala new file mode 100644 index 000000000..905c99bea --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch/SetImpressedBucketsLocalContextFilter.scala @@ -0,0 +1,22 @@ +package com.twitter.cr_mixer.featureswitch + +import com.twitter.finagle.Filter +import javax.inject.Inject +import javax.inject.Singleton +import scala.collection.concurrent.TrieMap +import com.twitter.abdecider.Bucket +import com.twitter.finagle.Service + +@Singleton +class SetImpressedBucketsLocalContextFilter @Inject() () extends Filter.TypeAgnostic { + override def toFilter[Req, Rep]: Filter[Req, Rep, Req, Rep] = + (request: Req, service: Service[Req, Rep]) => { + + val concurrentTrieMap = TrieMap + .empty[Bucket, Boolean] // Trie map has no locks and O(1) inserts + CrMixerImpressedBuckets.localImpressedBucketsMap.let(concurrentTrieMap) { + service(request) + } + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/BUILD new file mode 100644 index 000000000..e9db59798 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/BUILD @@ -0,0 +1,22 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core", + "content-recommender/thrift/src/main/thrift:thrift-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "finagle/finagle-core/src/main", + "frigate/frigate-common:util", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/FilterBase.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/FilterBase.scala new file mode 100644 index 000000000..1be4ebbaa --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/FilterBase.scala @@ -0,0 +1,22 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.util.Future + +trait FilterBase { + def name: String + + type ConfigType + + def filter( + candidates: Seq[Seq[InitialCandidate]], + config: ConfigType + ): Future[Seq[Seq[InitialCandidate]]] + + /** + * Build the config params here. passing in param() into the filter is strongly discouraged + * because param() can be slow when called many times + */ + def requestToConfig[CGQueryType <: CandidateGeneratorQuery](request: CGQueryType): ConfigType +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/ImpressedTweetlistFilter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/ImpressedTweetlistFilter.scala new file mode 100644 index 000000000..41c9b7742 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/ImpressedTweetlistFilter.scala @@ -0,0 +1,63 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.util.Future +import javax.inject.Singleton + +@Singleton +case class ImpressedTweetlistFilter() extends FilterBase { + import ImpressedTweetlistFilter._ + + override val name: String = this.getClass.getCanonicalName + + override type ConfigType = FilterConfig + + /* + Filtering removes some candidates based on configurable criteria. + */ + override def filter( + candidates: Seq[Seq[InitialCandidate]], + config: FilterConfig + ): Future[Seq[Seq[InitialCandidate]]] = { + // Remove candidates which match a source tweet, or which are passed in impressedTweetList + val sourceTweetsMatch = candidates + .flatMap { + + /*** + * Within a Seq[Seq[InitialCandidate]], all candidates within a inner Seq + * are guaranteed to have the same sourceInfo. Hence, we can pick .headOption + * to represent the whole list when filtering by the internalId of the sourceInfoOpt. + * But of course the similarityEngineInfo could be different. + */ + _.headOption.flatMap { candidate => + candidate.candidateGenerationInfo.sourceInfoOpt.map(_.internalId) + } + }.collect { + case InternalId.TweetId(id) => id + } + + val impressedTweetList: Set[TweetId] = + config.impressedTweetList ++ sourceTweetsMatch + + val filteredCandidateMap: Seq[Seq[InitialCandidate]] = + candidates.map { + _.filterNot { candidate => + impressedTweetList.contains(candidate.tweetId) + } + } + Future.value(filteredCandidateMap) + } + + override def requestToConfig[CGQueryType <: CandidateGeneratorQuery]( + request: CGQueryType + ): FilterConfig = { + FilterConfig(request.impressedTweetList) + } +} + +object ImpressedTweetlistFilter { + case class FilterConfig(impressedTweetList: Set[TweetId]) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/InNetworkFilter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/InNetworkFilter.scala new file mode 100644 index 000000000..62f4ddba5 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/InNetworkFilter.scala @@ -0,0 +1,80 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.UtegTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.param.UtegTweetGlobalParams +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import com.twitter.wtf.candidate.thriftscala.CandidateSeq + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/*** + * Filters in-network tweets + */ +@Singleton +case class InNetworkFilter @Inject() ( + @Named(ModuleNames.RealGraphInStore) realGraphStoreMh: ReadableStore[UserId, CandidateSeq], + globalStats: StatsReceiver) + extends FilterBase { + override val name: String = this.getClass.getCanonicalName + import InNetworkFilter._ + + override type ConfigType = FilterConfig + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + private val filterCandidatesStats = stats.scope("filter_candidates") + + override def filter( + candidates: Seq[Seq[InitialCandidate]], + filterConfig: FilterConfig, + ): Future[Seq[Seq[InitialCandidate]]] = { + StatsUtil.trackItemsStats(filterCandidatesStats) { + filterCandidates(candidates, filterConfig) + } + } + + private def filterCandidates( + candidates: Seq[Seq[InitialCandidate]], + filterConfig: FilterConfig, + ): Future[Seq[Seq[InitialCandidate]]] = { + + if (!filterConfig.enableInNetworkFilter) { + Future.value(candidates) + } else { + filterConfig.userIdOpt match { + case Some(userId) => + realGraphStoreMh + .get(userId).map(_.map(_.candidates.map(_.userId)).getOrElse(Seq.empty).toSet).map { + realGraphInNetworkAuthorsSet => + candidates.map(_.filterNot { candidate => + realGraphInNetworkAuthorsSet.contains(candidate.tweetInfo.authorId) + }) + } + case None => Future.value(candidates) + } + } + } + + override def requestToConfig[CGQueryType <: CandidateGeneratorQuery]( + request: CGQueryType + ): FilterConfig = { + request match { + case UtegTweetCandidateGeneratorQuery(userId, _, _, _, _, params, _) => + FilterConfig(Some(userId), params(UtegTweetGlobalParams.EnableInNetworkFilterParam)) + case _ => FilterConfig(None, false) + } + } +} + +object InNetworkFilter { + case class FilterConfig( + userIdOpt: Option[UserId], + enableInNetworkFilter: Boolean) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/PostRankFilterRunner.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/PostRankFilterRunner.scala new file mode 100644 index 000000000..483f3d956 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/PostRankFilterRunner.scala @@ -0,0 +1,58 @@ +package com.twitter.cr_mixer.filter +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class PostRankFilterRunner @Inject() ( + globalStats: StatsReceiver) { + + private val scopedStats = globalStats.scope(this.getClass.getCanonicalName) + + private val beforeCount = scopedStats.stat("candidate_count", "before") + private val afterCount = scopedStats.stat("candidate_count", "after") + + def run( + query: CrCandidateGeneratorQuery, + candidates: Seq[RankedCandidate] + ): Future[Seq[RankedCandidate]] = { + + beforeCount.add(candidates.size) + + Future( + removeBadRecentNotificationCandidates(candidates) + ).map { results => + afterCount.add(results.size) + results + } + } + + /** + * Remove "bad" quality candidates generated by recent notifications + * A candidate is bad when it is generated by a single RecentNotification + * SourceKey. + * e.x: + * tweetA {recent notification1} -> bad + * tweetB {recent notification1 recent notification2} -> good + *tweetC {recent notification1 recent follow1} -> bad + * SD-19397 + */ + private[filter] def removeBadRecentNotificationCandidates( + candidates: Seq[RankedCandidate] + ): Seq[RankedCandidate] = { + candidates.filterNot { + isBadQualityRecentNotificationCandidate + } + } + + private def isBadQualityRecentNotificationCandidate(candidate: RankedCandidate): Boolean = { + candidate.potentialReasons.size == 1 && + candidate.potentialReasons.head.sourceInfoOpt.nonEmpty && + candidate.potentialReasons.head.sourceInfoOpt.get.sourceType == SourceType.NotificationClick + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/PreRankFilterRunner.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/PreRankFilterRunner.scala new file mode 100644 index 000000000..7626acc7c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/PreRankFilterRunner.scala @@ -0,0 +1,99 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PreRankFilterRunner @Inject() ( + impressedTweetListFilter: ImpressedTweetlistFilter, + tweetAgeFilter: TweetAgeFilter, + videoTweetFilter: VideoTweetFilter, + tweetReplyFilter: ReplyFilter, + globalStats: StatsReceiver) { + + private val scopedStats = globalStats.scope(this.getClass.getCanonicalName) + + /*** + * The order of the filters does not matter as long as we do not apply .take(N) truncation + * across all filters. In other words, it is fine that we first do tweetAgeFilter, and then + * we do impressedTweetListFilter, or the other way around. + * Same idea applies to the signal based filter - it is ok that we apply signal based filters + * before impressedTweetListFilter. + * + * We move all signal based filters before tweetAgeFilter and impressedTweetListFilter + * as a set of early filters. + */ + val orderedFilters = Seq( + tweetAgeFilter, + impressedTweetListFilter, + videoTweetFilter, + tweetReplyFilter + ) + + def runSequentialFilters[CGQueryType <: CandidateGeneratorQuery]( + request: CGQueryType, + candidates: Seq[Seq[InitialCandidate]], + ): Future[Seq[Seq[InitialCandidate]]] = { + PreRankFilterRunner.runSequentialFilters( + request, + candidates, + orderedFilters, + scopedStats + ) + } + +} + +object PreRankFilterRunner { + private def recordCandidateStatsBeforeFilter( + candidates: Seq[Seq[InitialCandidate]], + statsReceiver: StatsReceiver + ): Unit = { + statsReceiver + .counter("empty_sources", "before").incr( + candidates.count { _.isEmpty } + ) + candidates.foreach { candidate => + statsReceiver.counter("candidates", "before").incr(candidate.size) + } + } + + private def recordCandidateStatsAfterFilter( + candidates: Seq[Seq[InitialCandidate]], + statsReceiver: StatsReceiver + ): Unit = { + statsReceiver + .counter("empty_sources", "after").incr( + candidates.count { _.isEmpty } + ) + candidates.foreach { candidate => + statsReceiver.counter("candidates", "after").incr(candidate.size) + } + } + + /* + Helper function for running some candidates through a sequence of filters + */ + private[filter] def runSequentialFilters[CGQueryType <: CandidateGeneratorQuery]( + request: CGQueryType, + candidates: Seq[Seq[InitialCandidate]], + filters: Seq[FilterBase], + statsReceiver: StatsReceiver + ): Future[Seq[Seq[InitialCandidate]]] = + filters.foldLeft(Future.value(candidates)) { + case (candsFut, filter) => + candsFut.flatMap { cands => + recordCandidateStatsBeforeFilter(cands, statsReceiver.scope(filter.name)) + filter + .filter(cands, filter.requestToConfig(request)) + .map { filteredCands => + recordCandidateStatsAfterFilter(filteredCands, statsReceiver.scope(filter.name)) + filteredCands + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/ReplyFilter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/ReplyFilter.scala new file mode 100644 index 000000000..d4d37a7da --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/ReplyFilter.scala @@ -0,0 +1,40 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.util.Future + +import javax.inject.Inject +import javax.inject.Singleton + +/*** + * Filters candidates that are replies + */ +@Singleton +case class ReplyFilter @Inject() () extends FilterBase { + override def name: String = this.getClass.getCanonicalName + override type ConfigType = Boolean + + override def filter( + candidates: Seq[Seq[InitialCandidate]], + config: ConfigType + ): Future[Seq[Seq[InitialCandidate]]] = { + if (config) { + Future.value( + candidates.map { candidateSeq => + candidateSeq.filterNot { candidate => + candidate.tweetInfo.isReply.getOrElse(false) + } + } + ) + } else { + Future.value(candidates) + } + } + + override def requestToConfig[CGQueryType <: CandidateGeneratorQuery]( + query: CGQueryType + ): ConfigType = { + true + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/RetweetFilter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/RetweetFilter.scala new file mode 100644 index 000000000..38eefadd9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/RetweetFilter.scala @@ -0,0 +1,41 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.param.UtegTweetGlobalParams +import com.twitter.util.Future + +import javax.inject.Inject +import javax.inject.Singleton + +/*** + * Filters candidates that are retweets + */ +@Singleton +case class RetweetFilter @Inject() () extends FilterBase { + override def name: String = this.getClass.getCanonicalName + override type ConfigType = Boolean + + override def filter( + candidates: Seq[Seq[InitialCandidate]], + config: ConfigType + ): Future[Seq[Seq[InitialCandidate]]] = { + if (config) { + Future.value( + candidates.map { candidateSeq => + candidateSeq.filterNot { candidate => + candidate.tweetInfo.isRetweet.getOrElse(false) + } + } + ) + } else { + Future.value(candidates) + } + } + + override def requestToConfig[CGQueryType <: CandidateGeneratorQuery]( + query: CGQueryType + ): ConfigType = { + query.params(UtegTweetGlobalParams.EnableRetweetFilterParam) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/TweetAgeFilter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/TweetAgeFilter.scala new file mode 100644 index 000000000..d7c8889e1 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/TweetAgeFilter.scala @@ -0,0 +1,39 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Singleton +import com.twitter.conversions.DurationOps._ + +@Singleton +case class TweetAgeFilter() extends FilterBase { + override val name: String = this.getClass.getCanonicalName + + override type ConfigType = Duration + + override def filter( + candidates: Seq[Seq[InitialCandidate]], + maxTweetAge: Duration + ): Future[Seq[Seq[InitialCandidate]]] = { + if (maxTweetAge >= 720.hours) { + Future.value(candidates) + } else { + // Tweet IDs are approximately chronological (see http://go/snowflake), + // so we are building the earliest tweet id once, + // and pass that as the value to filter candidates for each CandidateGenerationModel. + val earliestTweetId = SnowflakeId.firstIdFor(Time.now - maxTweetAge) + Future.value(candidates.map(_.filter(_.tweetId >= earliestTweetId))) + } + } + + override def requestToConfig[CGQueryType <: CandidateGeneratorQuery]( + query: CGQueryType + ): Duration = { + query.params(GlobalParams.MaxTweetAgeHoursParam) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/TweetInfoHealthFilterBase.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/TweetInfoHealthFilterBase.scala new file mode 100644 index 000000000..5ea248424 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/TweetInfoHealthFilterBase.scala @@ -0,0 +1,39 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.HealthThreshold +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.util.Future +import javax.inject.Singleton + +@Singleton +trait TweetInfoHealthFilterBase extends FilterBase { + override def name: String = this.getClass.getCanonicalName + override type ConfigType = HealthThreshold.Enum.Value + def thresholdToPropertyMap: Map[HealthThreshold.Enum.Value, TweetInfo => Option[Boolean]] + def getFilterParamFn: CandidateGeneratorQuery => HealthThreshold.Enum.Value + + override def filter( + candidates: Seq[Seq[InitialCandidate]], + config: HealthThreshold.Enum.Value + ): Future[Seq[Seq[InitialCandidate]]] = { + Future.value(candidates.map { seq => + seq.filter(p => thresholdToPropertyMap(config)(p.tweetInfo).getOrElse(true)) + }) + } + + /** + * Build the config params here. passing in param() into the filter is strongly discouraged + * because param() can be slow when called many times + */ + override def requestToConfig[CGQueryType <: CandidateGeneratorQuery]( + query: CGQueryType + ): HealthThreshold.Enum.Value = { + query match { + case q: CrCandidateGeneratorQuery => getFilterParamFn(q) + case _ => HealthThreshold.Enum.Off + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/UtegFilterRunner.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/UtegFilterRunner.scala new file mode 100644 index 000000000..463e026b9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/UtegFilterRunner.scala @@ -0,0 +1,96 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.util.Future + +import javax.inject.Inject +import javax.inject.Singleton + +/*** + * + * Run filters sequentially for UTEG candidate generator. The structure is copied from PreRankFilterRunner. + */ +@Singleton +class UtegFilterRunner @Inject() ( + inNetworkFilter: InNetworkFilter, + utegHealthFilter: UtegHealthFilter, + retweetFilter: RetweetFilter, + globalStats: StatsReceiver) { + + private val scopedStats = globalStats.scope(this.getClass.getCanonicalName) + + val orderedFilters: Seq[FilterBase] = Seq( + inNetworkFilter, + utegHealthFilter, + retweetFilter + ) + + def runSequentialFilters[CGQueryType <: CandidateGeneratorQuery]( + request: CGQueryType, + candidates: Seq[Seq[InitialCandidate]], + ): Future[Seq[Seq[InitialCandidate]]] = { + UtegFilterRunner.runSequentialFilters( + request, + candidates, + orderedFilters, + scopedStats + ) + } + +} + +object UtegFilterRunner { + private def recordCandidateStatsBeforeFilter( + candidates: Seq[Seq[InitialCandidate]], + statsReceiver: StatsReceiver + ): Unit = { + statsReceiver + .counter("empty_sources", "before").incr( + candidates.count { + _.isEmpty + } + ) + candidates.foreach { candidate => + statsReceiver.counter("candidates", "before").incr(candidate.size) + } + } + + private def recordCandidateStatsAfterFilter( + candidates: Seq[Seq[InitialCandidate]], + statsReceiver: StatsReceiver + ): Unit = { + statsReceiver + .counter("empty_sources", "after").incr( + candidates.count { + _.isEmpty + } + ) + candidates.foreach { candidate => + statsReceiver.counter("candidates", "after").incr(candidate.size) + } + } + + /* + Helper function for running some candidates through a sequence of filters + */ + private[filter] def runSequentialFilters[CGQueryType <: CandidateGeneratorQuery]( + request: CGQueryType, + candidates: Seq[Seq[InitialCandidate]], + filters: Seq[FilterBase], + statsReceiver: StatsReceiver + ): Future[Seq[Seq[InitialCandidate]]] = + filters.foldLeft(Future.value(candidates)) { + case (candsFut, filter) => + candsFut.flatMap { cands => + recordCandidateStatsBeforeFilter(cands, statsReceiver.scope(filter.name)) + filter + .filter(cands, filter.requestToConfig(request)) + .map { filteredCands => + recordCandidateStatsAfterFilter(filteredCands, statsReceiver.scope(filter.name)) + filteredCands + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/UtegHealthFilter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/UtegHealthFilter.scala new file mode 100644 index 000000000..4a327b161 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/UtegHealthFilter.scala @@ -0,0 +1,51 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.param.UtegTweetGlobalParams +import com.twitter.util.Future + +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Remove unhealthy candidates + * Currently Timeline Ranker applies a check on the following three scores: + * - toxicityScore + * - pBlockScore + * - pReportedTweetScore + * + * Where isPassTweetHealthFilterStrict checks two additions scores with the same threshold: + * - pSpammyTweetScore + * - spammyTweetContentScore + * + * We've verified that both filters behave very similarly. + */ +@Singleton +case class UtegHealthFilter @Inject() () extends FilterBase { + override def name: String = this.getClass.getCanonicalName + override type ConfigType = Boolean + + override def filter( + candidates: Seq[Seq[InitialCandidate]], + config: ConfigType + ): Future[Seq[Seq[InitialCandidate]]] = { + if (config) { + Future.value( + candidates.map { candidateSeq => + candidateSeq.filter { candidate => + candidate.tweetInfo.isPassTweetHealthFilterStrict.getOrElse(false) + } + } + ) + } else { + Future.value(candidates) + } + } + + override def requestToConfig[CGQueryType <: CandidateGeneratorQuery]( + query: CGQueryType + ): ConfigType = { + query.params(UtegTweetGlobalParams.EnableTLRHealthFilterParam) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/VideoTweetFilter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/VideoTweetFilter.scala new file mode 100644 index 000000000..755ba8ac7 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/filter/VideoTweetFilter.scala @@ -0,0 +1,81 @@ +package com.twitter.cr_mixer.filter + +import com.twitter.cr_mixer.filter.VideoTweetFilter.FilterConfig +import com.twitter.cr_mixer.model.CandidateGeneratorQuery +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.RelatedTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.RelatedVideoTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.param.VideoTweetFilterParams +import com.twitter.util.Future +import javax.inject.Singleton + +@Singleton +case class VideoTweetFilter() extends FilterBase { + override val name: String = this.getClass.getCanonicalName + + override type ConfigType = FilterConfig + + override def filter( + candidates: Seq[Seq[InitialCandidate]], + config: ConfigType + ): Future[Seq[Seq[InitialCandidate]]] = { + Future.value(candidates.map { + _.flatMap { + candidate => + if (!config.enableVideoTweetFilter) { + Some(candidate) + } else { + // if hasVideo is true, hasImage, hasGif should be false + val hasVideo = checkTweetInfoAttribute(candidate.tweetInfo.hasVideo) + val isHighMediaResolution = + checkTweetInfoAttribute(candidate.tweetInfo.isHighMediaResolution) + val isQuoteTweet = checkTweetInfoAttribute(candidate.tweetInfo.isQuoteTweet) + val isReply = checkTweetInfoAttribute(candidate.tweetInfo.isReply) + val hasMultipleMedia = checkTweetInfoAttribute(candidate.tweetInfo.hasMultipleMedia) + val hasUrl = checkTweetInfoAttribute(candidate.tweetInfo.hasUrl) + + if (hasVideo && isHighMediaResolution && !isQuoteTweet && + !isReply && !hasMultipleMedia && !hasUrl) { + Some(candidate) + } else { + None + } + } + } + }) + } + + def checkTweetInfoAttribute(attributeOpt: => Option[Boolean]): Boolean = { + if (attributeOpt.isDefined) + attributeOpt.get + else { + // takes Quoted Tweet (TweetInfo.isQuoteTweet) as an example, + // if the attributeOpt is None, we by default say it is not a quoted tweet + // similarly, if TweetInfo.hasVideo is a None, + // we say it does not have video. + false + } + } + + override def requestToConfig[CGQueryType <: CandidateGeneratorQuery]( + query: CGQueryType + ): FilterConfig = { + val enableVideoTweetFilter = query match { + case _: CrCandidateGeneratorQuery | _: RelatedTweetCandidateGeneratorQuery | + _: RelatedVideoTweetCandidateGeneratorQuery => + query.params(VideoTweetFilterParams.EnableVideoTweetFilterParam) + case _ => false // e.g., GetRelatedTweets() + } + FilterConfig( + enableVideoTweetFilter = enableVideoTweetFilter + ) + } +} + +object VideoTweetFilter { + // extend the filterConfig to add more flags if needed. + // now they are hardcoded according to the prod setting + case class FilterConfig( + enableVideoTweetFilter: Boolean) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/AdsRecommendationsScribeLogger.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/AdsRecommendationsScribeLogger.scala new file mode 100644 index 000000000..f786bd586 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/AdsRecommendationsScribeLogger.scala @@ -0,0 +1,139 @@ +package com.twitter.cr_mixer.logging + +import com.twitter.cr_mixer.model.AdsCandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialAdsCandidate +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.logging.ScribeLoggerUtils._ +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.thriftscala.AdsRecommendationTopLevelApiResult +import com.twitter.cr_mixer.thriftscala.AdsRecommendationsResult +import com.twitter.cr_mixer.thriftscala.AdsRequest +import com.twitter.cr_mixer.thriftscala.AdsResponse +import com.twitter.cr_mixer.thriftscala.FetchCandidatesResult +import com.twitter.cr_mixer.thriftscala.GetAdsRecommendationsScribe +import com.twitter.cr_mixer.thriftscala.PerformanceMetrics +import com.twitter.cr_mixer.thriftscala.TweetCandidateWithMetadata +import com.twitter.cr_mixer.util.CandidateGenerationKeyUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.tracing.Trace +import com.twitter.logging.Logger +import com.twitter.simclusters_v2.common.UserId +import com.twitter.util.Future +import com.twitter.util.Stopwatch + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +case class AdsRecommendationsScribeLogger @Inject() ( + @Named(ModuleNames.AdsRecommendationsLogger) adsRecommendationsScribeLogger: Logger, + decider: CrMixerDecider, + statsReceiver: StatsReceiver) { + + private val scopedStats = statsReceiver.scope(this.getClass.getCanonicalName) + private val upperFunnelsStats = scopedStats.scope("UpperFunnels") + private val topLevelApiStats = scopedStats.scope("TopLevelApi") + + /* + * Scribe first step results after fetching initial ads candidate + * */ + def scribeInitialAdsCandidates( + query: AdsCandidateGeneratorQuery, + getResultFn: => Future[Seq[Seq[InitialAdsCandidate]]], + enableScribe: Boolean // controlled by feature switch so that we can scribe for certain DDG + ): Future[Seq[Seq[InitialAdsCandidate]]] = { + val scribeMetadata = ScribeMetadata.from(query) + val timer = Stopwatch.start() + getResultFn.onSuccess { input => + val latencyMs = timer().inMilliseconds + val result = convertFetchCandidatesResult(input, scribeMetadata.userId) + val traceId = Trace.id.traceId.toLong + val scribeMsg = buildScribeMessage(result, scribeMetadata, latencyMs, traceId) + + if (enableScribe && decider.isAvailableForId( + scribeMetadata.userId, + DeciderConstants.adsRecommendationsPerExperimentScribeRate)) { + upperFunnelsStats.counter(scribeMetadata.product.originalName).incr() + scribeResult(scribeMsg) + } + } + } + + /* + * Scribe top level API results + * */ + def scribeGetAdsRecommendations( + request: AdsRequest, + startTime: Long, + scribeMetadata: ScribeMetadata, + getResultFn: => Future[AdsResponse], + enableScribe: Boolean + ): Future[AdsResponse] = { + val timer = Stopwatch.start() + getResultFn.onSuccess { response => + val latencyMs = timer().inMilliseconds + val result = AdsRecommendationsResult.AdsRecommendationTopLevelApiResult( + AdsRecommendationTopLevelApiResult( + timestamp = startTime, + request = request, + response = response + )) + val traceId = Trace.id.traceId.toLong + val scribeMsg = buildScribeMessage(result, scribeMetadata, latencyMs, traceId) + + if (enableScribe && decider.isAvailableForId( + scribeMetadata.userId, + DeciderConstants.adsRecommendationsPerExperimentScribeRate)) { + topLevelApiStats.counter(scribeMetadata.product.originalName).incr() + scribeResult(scribeMsg) + } + } + } + + private def convertFetchCandidatesResult( + candidatesSeq: Seq[Seq[InitialAdsCandidate]], + requestUserId: UserId + ): AdsRecommendationsResult = { + val tweetCandidatesWithMetadata = candidatesSeq.flatMap { candidates => + candidates.map { candidate => + TweetCandidateWithMetadata( + tweetId = candidate.tweetId, + candidateGenerationKey = Some( + CandidateGenerationKeyUtil.toThrift(candidate.candidateGenerationInfo, requestUserId)), + score = Some(candidate.getSimilarityScore), + numCandidateGenerationKeys = None // not populated yet + ) + } + } + AdsRecommendationsResult.FetchCandidatesResult( + FetchCandidatesResult(Some(tweetCandidatesWithMetadata))) + } + + private def buildScribeMessage( + result: AdsRecommendationsResult, + scribeMetadata: ScribeMetadata, + latencyMs: Long, + traceId: Long + ): GetAdsRecommendationsScribe = { + GetAdsRecommendationsScribe( + uuid = scribeMetadata.requestUUID, + userId = scribeMetadata.userId, + result = result, + traceId = Some(traceId), + performanceMetrics = Some(PerformanceMetrics(Some(latencyMs))), + impressedBuckets = getImpressedBuckets(scopedStats) + ) + } + + private def scribeResult( + scribeMsg: GetAdsRecommendationsScribe + ): Unit = { + publish( + logger = adsRecommendationsScribeLogger, + codec = GetAdsRecommendationsScribe, + message = scribeMsg) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/BUILD new file mode 100644 index 000000000..edf0b77f0 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/BUILD @@ -0,0 +1,34 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "abdecider/src/main/scala", + "content-recommender/thrift/src/main/thrift:content-recommender-common-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "featureswitches/featureswitches-core/src/main/scala:experimentation-settings", + "finagle/finagle-core/src/main", + "frigate/frigate-common:base", + "frigate/frigate-common:util", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "kafka/finagle-kafka/finatra-kafka/src/main/scala", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "scribelib/marshallers/src/main/scala/com/twitter/scribelib/marshallers", + "scribelib/validators/src/main/scala/com/twitter/scribelib/validators", + "scrooge/scrooge-serializer/src/main/scala", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/ml/api:data-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "timelines/src/main/scala/com/twitter/timelines/clientevent", + "util-internal/scribe/src/main/scala/com/twitter/logging", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/CrMixerScribeLogger.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/CrMixerScribeLogger.scala new file mode 100644 index 000000000..024dcf55b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/CrMixerScribeLogger.scala @@ -0,0 +1,489 @@ +package com.twitter.cr_mixer.logging + +import com.google.common.base.CaseFormat +import com.twitter.abdecider.ScribingABDeciderUtil +import com.twitter.scribelib.marshallers.ClientDataProvider +import com.twitter.scribelib.marshallers.ScribeSerialization +import com.twitter.timelines.clientevent.MinimalClientDataProvider +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.logging.ScribeLoggerUtils._ +import com.twitter.cr_mixer.model.GraphSourceInfo +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.scribe.ScribeCategories +import com.twitter.cr_mixer.thriftscala.CrMixerTweetRequest +import com.twitter.cr_mixer.thriftscala.CrMixerTweetResponse +import com.twitter.cr_mixer.thriftscala.FetchCandidatesResult +import com.twitter.cr_mixer.thriftscala.FetchSignalSourcesResult +import com.twitter.cr_mixer.thriftscala.GetTweetsRecommendationsScribe +import com.twitter.cr_mixer.thriftscala.InterleaveResult +import com.twitter.cr_mixer.thriftscala.PerformanceMetrics +import com.twitter.cr_mixer.thriftscala.PreRankFilterResult +import com.twitter.cr_mixer.thriftscala.Product +import com.twitter.cr_mixer.thriftscala.RankResult +import com.twitter.cr_mixer.thriftscala.Result +import com.twitter.cr_mixer.thriftscala.SourceSignal +import com.twitter.cr_mixer.thriftscala.TopLevelApiResult +import com.twitter.cr_mixer.thriftscala.TweetCandidateWithMetadata +import com.twitter.cr_mixer.thriftscala.VITTweetCandidateScribe +import com.twitter.cr_mixer.thriftscala.VITTweetCandidatesScribe +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.util.CandidateGenerationKeyUtil +import com.twitter.cr_mixer.util.MetricTagUtil +import com.twitter.decider.SimpleRecipient +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.tracing.Trace +import com.twitter.finatra.kafka.producers.KafkaProducerBase +import com.twitter.logging.Logger +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.util.Future +import com.twitter.util.Stopwatch +import com.twitter.util.Time + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton +import scala.util.Random + +@Singleton +case class CrMixerScribeLogger @Inject() ( + decider: CrMixerDecider, + statsReceiver: StatsReceiver, + @Named(ModuleNames.TweetRecsLogger) tweetRecsScribeLogger: Logger, + @Named(ModuleNames.BlueVerifiedTweetRecsLogger) blueVerifiedTweetRecsScribeLogger: Logger, + @Named(ModuleNames.TopLevelApiDdgMetricsLogger) ddgMetricsLogger: Logger, + kafkaProducer: KafkaProducerBase[String, GetTweetsRecommendationsScribe]) { + + import CrMixerScribeLogger._ + + private val scopedStats = statsReceiver.scope("CrMixerScribeLogger") + private val topLevelApiStats = scopedStats.scope("TopLevelApi") + private val upperFunnelsStats = scopedStats.scope("UpperFunnels") + private val kafkaMessagesStats = scopedStats.scope("KafkaMessages") + private val topLevelApiDdgMetricsStats = scopedStats.scope("TopLevelApiDdgMetrics") + private val blueVerifiedTweetCandidatesStats = scopedStats.scope("BlueVerifiedTweetCandidates") + + private val serialization = new ScribeSerialization {} + + def scribeSignalSources( + query: CrCandidateGeneratorQuery, + getResultFn: => Future[(Set[SourceInfo], Map[String, Option[GraphSourceInfo]])] + ): Future[(Set[SourceInfo], Map[String, Option[GraphSourceInfo]])] = { + scribeResultsAndPerformanceMetrics( + ScribeMetadata.from(query), + getResultFn, + convertToResultFn = convertFetchSignalSourcesResult + ) + } + + def scribeInitialCandidates( + query: CrCandidateGeneratorQuery, + getResultFn: => Future[Seq[Seq[InitialCandidate]]] + ): Future[Seq[Seq[InitialCandidate]]] = { + scribeResultsAndPerformanceMetrics( + ScribeMetadata.from(query), + getResultFn, + convertToResultFn = convertFetchCandidatesResult + ) + } + + def scribePreRankFilterCandidates( + query: CrCandidateGeneratorQuery, + getResultFn: => Future[Seq[Seq[InitialCandidate]]] + ): Future[Seq[Seq[InitialCandidate]]] = { + scribeResultsAndPerformanceMetrics( + ScribeMetadata.from(query), + getResultFn, + convertToResultFn = convertPreRankFilterResult + ) + } + + def scribeInterleaveCandidates( + query: CrCandidateGeneratorQuery, + getResultFn: => Future[Seq[BlendedCandidate]] + ): Future[Seq[BlendedCandidate]] = { + scribeResultsAndPerformanceMetrics( + ScribeMetadata.from(query), + getResultFn, + convertToResultFn = convertInterleaveResult, + enableKafkaScribe = true + ) + } + + def scribeRankedCandidates( + query: CrCandidateGeneratorQuery, + getResultFn: => Future[Seq[RankedCandidate]] + ): Future[Seq[RankedCandidate]] = { + scribeResultsAndPerformanceMetrics( + ScribeMetadata.from(query), + getResultFn, + convertToResultFn = convertRankResult + ) + } + + /** + * Scribe Top Level API Request / Response and performance metrics + * for the getTweetRecommendations() endpoint. + */ + def scribeGetTweetRecommendations( + request: CrMixerTweetRequest, + startTime: Long, + scribeMetadata: ScribeMetadata, + getResultFn: => Future[CrMixerTweetResponse] + ): Future[CrMixerTweetResponse] = { + val timer = Stopwatch.start() + getResultFn.onSuccess { response => + val latencyMs = timer().inMilliseconds + val result = convertTopLevelAPIResult(request, response, startTime) + val traceId = Trace.id.traceId.toLong + val scribeMsg = buildScribeMessage(result, scribeMetadata, latencyMs, traceId) + + // We use upperFunnelPerStepScribeRate to cover TopLevelApi scribe logs + if (decider.isAvailableForId( + scribeMetadata.userId, + DeciderConstants.upperFunnelPerStepScribeRate)) { + topLevelApiStats.counter(scribeMetadata.product.originalName).incr() + scribeResult(scribeMsg) + } + if (decider.isAvailableForId( + scribeMetadata.userId, + DeciderConstants.topLevelApiDdgMetricsScribeRate)) { + topLevelApiDdgMetricsStats.counter(scribeMetadata.product.originalName).incr() + val topLevelDdgMetricsMetadata = TopLevelDdgMetricsMetadata.from(request) + publishTopLevelDdgMetrics( + logger = ddgMetricsLogger, + topLevelDdgMetricsMetadata = topLevelDdgMetricsMetadata, + latencyMs = latencyMs, + candidateSize = response.tweets.length) + } + } + } + + /** + * Scribe all of the Blue Verified tweets that are candidates from cr-mixer + * from the getTweetRecommendations() endpoint for stats tracking/debugging purposes. + */ + def scribeGetTweetRecommendationsForBlueVerified( + scribeMetadata: ScribeMetadata, + getResultFn: => Future[Seq[RankedCandidate]] + ): Future[Seq[RankedCandidate]] = { + getResultFn.onSuccess { rankedCandidates => + if (decider.isAvailable(DeciderConstants.enableScribeForBlueVerifiedTweetCandidates)) { + blueVerifiedTweetCandidatesStats.counter("process_request").incr() + + val blueVerifiedTweetCandidates = rankedCandidates.filter { tweet => + tweet.tweetInfo.hasBlueVerifiedAnnotation.contains(true) + } + + val impressedBuckets = getImpressedBuckets(blueVerifiedTweetCandidatesStats).getOrElse(Nil) + + val blueVerifiedCandidateScribes = blueVerifiedTweetCandidates.map { candidate => + blueVerifiedTweetCandidatesStats + .scope(scribeMetadata.product.name).counter( + candidate.tweetInfo.authorId.toString).incr() + VITTweetCandidateScribe( + tweetId = candidate.tweetId, + authorId = candidate.tweetInfo.authorId, + score = candidate.predictionScore, + metricTags = MetricTagUtil.buildMetricTags(candidate) + ) + } + + val blueVerifiedScribe = + VITTweetCandidatesScribe( + uuid = scribeMetadata.requestUUID, + userId = scribeMetadata.userId, + candidates = blueVerifiedCandidateScribes, + product = scribeMetadata.product, + impressedBuckets = impressedBuckets + ) + + publish( + logger = blueVerifiedTweetRecsScribeLogger, + codec = VITTweetCandidatesScribe, + message = blueVerifiedScribe) + } + } + } + + /** + * Scribe Per-step intermediate results and performance metrics + * for each step: fetch signals, fetch candidates, filters, ranker, etc + */ + private[logging] def scribeResultsAndPerformanceMetrics[T]( + scribeMetadata: ScribeMetadata, + getResultFn: => Future[T], + convertToResultFn: (T, UserId) => Result, + enableKafkaScribe: Boolean = false + ): Future[T] = { + val timer = Stopwatch.start() + getResultFn.onSuccess { input => + val latencyMs = timer().inMilliseconds + val result = convertToResultFn(input, scribeMetadata.userId) + val traceId = Trace.id.traceId.toLong + val scribeMsg = buildScribeMessage(result, scribeMetadata, latencyMs, traceId) + + if (decider.isAvailableForId( + scribeMetadata.userId, + DeciderConstants.upperFunnelPerStepScribeRate)) { + upperFunnelsStats.counter(scribeMetadata.product.originalName).incr() + scribeResult(scribeMsg) + } + + // forks the scribe as a Kafka message for async feature hydration + if (enableKafkaScribe && shouldScribeKafkaMessage( + scribeMetadata.userId, + scribeMetadata.product)) { + kafkaMessagesStats.counter(scribeMetadata.product.originalName).incr() + + val batchedKafkaMessages = downsampleKafkaMessage(scribeMsg) + batchedKafkaMessages.foreach { kafkaMessage => + kafkaProducer.send( + topic = ScribeCategories.TweetsRecs.scribeCategory, + key = traceId.toString, + value = kafkaMessage, + timestamp = Time.now.inMilliseconds + ) + } + } + } + } + + private def convertTopLevelAPIResult( + request: CrMixerTweetRequest, + response: CrMixerTweetResponse, + startTime: Long + ): Result = { + Result.TopLevelApiResult( + TopLevelApiResult( + timestamp = startTime, + request = request, + response = response + )) + } + + private def convertFetchSignalSourcesResult( + sourceInfoSetTuple: (Set[SourceInfo], Map[String, Option[GraphSourceInfo]]), + requestUserId: UserId + ): Result = { + val sourceSignals = sourceInfoSetTuple._1.map { sourceInfo => + SourceSignal(id = Some(sourceInfo.internalId)) + } + // For source graphs, we pass in requestUserId as a placeholder + val sourceGraphs = sourceInfoSetTuple._2.map { + case (_, _) => + SourceSignal(id = Some(InternalId.UserId(requestUserId))) + } + Result.FetchSignalSourcesResult( + FetchSignalSourcesResult( + signals = Some(sourceSignals ++ sourceGraphs) + )) + } + + private def convertFetchCandidatesResult( + candidatesSeq: Seq[Seq[InitialCandidate]], + requestUserId: UserId + ): Result = { + val tweetCandidatesWithMetadata = candidatesSeq.flatMap { candidates => + candidates.map { candidate => + TweetCandidateWithMetadata( + tweetId = candidate.tweetId, + candidateGenerationKey = Some( + CandidateGenerationKeyUtil.toThrift(candidate.candidateGenerationInfo, requestUserId)), + score = Some(candidate.getSimilarityScore), + numCandidateGenerationKeys = None // not populated yet + ) + } + } + Result.FetchCandidatesResult(FetchCandidatesResult(Some(tweetCandidatesWithMetadata))) + } + + private def convertPreRankFilterResult( + candidatesSeq: Seq[Seq[InitialCandidate]], + requestUserId: UserId + ): Result = { + val tweetCandidatesWithMetadata = candidatesSeq.flatMap { candidates => + candidates.map { candidate => + TweetCandidateWithMetadata( + tweetId = candidate.tweetId, + candidateGenerationKey = Some( + CandidateGenerationKeyUtil.toThrift(candidate.candidateGenerationInfo, requestUserId)), + score = Some(candidate.getSimilarityScore), + numCandidateGenerationKeys = None // not populated yet + ) + } + } + Result.PreRankFilterResult(PreRankFilterResult(Some(tweetCandidatesWithMetadata))) + } + + // We take InterleaveResult for Unconstrained dataset ML ranker training + private def convertInterleaveResult( + blendedCandidates: Seq[BlendedCandidate], + requestUserId: UserId + ): Result = { + val tweetCandidatesWithMetadata = blendedCandidates.map { blendedCandidate => + val candidateGenerationKey = + CandidateGenerationKeyUtil.toThrift(blendedCandidate.reasonChosen, requestUserId) + TweetCandidateWithMetadata( + tweetId = blendedCandidate.tweetId, + candidateGenerationKey = Some(candidateGenerationKey), + authorId = Some(blendedCandidate.tweetInfo.authorId), // for ML pipeline training + score = Some(blendedCandidate.getSimilarityScore), + numCandidateGenerationKeys = Some(blendedCandidate.potentialReasons.size) + ) // hydrate fields for light ranking training data + } + Result.InterleaveResult(InterleaveResult(Some(tweetCandidatesWithMetadata))) + } + + private def convertRankResult( + rankedCandidates: Seq[RankedCandidate], + requestUserId: UserId + ): Result = { + val tweetCandidatesWithMetadata = rankedCandidates.map { rankedCandidate => + val candidateGenerationKey = + CandidateGenerationKeyUtil.toThrift(rankedCandidate.reasonChosen, requestUserId) + TweetCandidateWithMetadata( + tweetId = rankedCandidate.tweetId, + candidateGenerationKey = Some(candidateGenerationKey), + score = Some(rankedCandidate.getSimilarityScore), + numCandidateGenerationKeys = Some(rankedCandidate.potentialReasons.size) + ) + } + Result.RankResult(RankResult(Some(tweetCandidatesWithMetadata))) + } + + private def buildScribeMessage( + result: Result, + scribeMetadata: ScribeMetadata, + latencyMs: Long, + traceId: Long + ): GetTweetsRecommendationsScribe = { + GetTweetsRecommendationsScribe( + uuid = scribeMetadata.requestUUID, + userId = scribeMetadata.userId, + result = result, + traceId = Some(traceId), + performanceMetrics = Some(PerformanceMetrics(Some(latencyMs))), + impressedBuckets = getImpressedBuckets(scopedStats) + ) + } + + private def scribeResult( + scribeMsg: GetTweetsRecommendationsScribe + ): Unit = { + publish( + logger = tweetRecsScribeLogger, + codec = GetTweetsRecommendationsScribe, + message = scribeMsg) + } + + /** + * Gate for producing messages to Kafka for async feature hydration + */ + private def shouldScribeKafkaMessage( + userId: UserId, + product: Product + ): Boolean = { + val isEligibleUser = decider.isAvailable( + DeciderConstants.kafkaMessageScribeSampleRate, + Some(SimpleRecipient(userId))) + val isHomeProduct = (product == Product.Home) + isEligibleUser && isHomeProduct + } + + /** + * Due to size limits of Strato (see SD-19028), each Kafka message must be downsampled + */ + private[logging] def downsampleKafkaMessage( + scribeMsg: GetTweetsRecommendationsScribe + ): Seq[GetTweetsRecommendationsScribe] = { + val sampledResultSeq: Seq[Result] = scribeMsg.result match { + case Result.InterleaveResult(interleaveResult) => + val sampledTweetsSeq = interleaveResult.tweets + .map { tweets => + Random + .shuffle(tweets).take(KafkaMaxTweetsPerMessage) + .grouped(BatchSize).toSeq + }.getOrElse(Seq.empty) + + sampledTweetsSeq.map { sampledTweets => + Result.InterleaveResult(InterleaveResult(Some(sampledTweets))) + } + + // if it's an unrecognized type, err on the side of sending no candidates + case _ => + kafkaMessagesStats.counter("InvalidKafkaMessageResultType").incr() + Seq(Result.InterleaveResult(InterleaveResult(None))) + } + + sampledResultSeq.map { sampledResult => + GetTweetsRecommendationsScribe( + uuid = scribeMsg.uuid, + userId = scribeMsg.userId, + result = sampledResult, + traceId = scribeMsg.traceId, + performanceMetrics = None, + impressedBuckets = None + ) + } + } + + /** + * Handles client_event serialization to log data into DDG metrics + */ + private[logging] def publishTopLevelDdgMetrics( + logger: Logger, + topLevelDdgMetricsMetadata: TopLevelDdgMetricsMetadata, + candidateSize: Long, + latencyMs: Long, + ): Unit = { + val data = Map[Any, Any]( + "latency_ms" -> latencyMs, + "event_value" -> candidateSize + ) + val label: (String, String) = ("tweetrec", "") + val namespace = getNamespace(topLevelDdgMetricsMetadata, label) + ("action" -> "candidates") + val message = + serialization + .serializeClientEvent(namespace, getClientData(topLevelDdgMetricsMetadata), data) + logger.info(message) + } + + private def getClientData( + topLevelDdgMetricsMetadata: TopLevelDdgMetricsMetadata + ): ClientDataProvider = + MinimalClientDataProvider( + userId = topLevelDdgMetricsMetadata.userId, + guestId = None, + clientApplicationId = topLevelDdgMetricsMetadata.clientApplicationId, + countryCode = topLevelDdgMetricsMetadata.countryCode + ) + + private def getNamespace( + topLevelDdgMetricsMetadata: TopLevelDdgMetricsMetadata, + label: (String, String) + ): Map[String, String] = { + val productName = + CaseFormat.UPPER_CAMEL + .to(CaseFormat.LOWER_UNDERSCORE, topLevelDdgMetricsMetadata.product.originalName) + + Map( + "client" -> ScribingABDeciderUtil.clientForAppId( + topLevelDdgMetricsMetadata.clientApplicationId), + "page" -> "cr-mixer", + "section" -> productName, + "component" -> label._1, + "element" -> label._2 + ) + } +} + +object CrMixerScribeLogger { + val KafkaMaxTweetsPerMessage: Int = 200 + val BatchSize: Int = 20 +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/RelatedTweetScribeLogger.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/RelatedTweetScribeLogger.scala new file mode 100644 index 000000000..b2b36f43c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/RelatedTweetScribeLogger.scala @@ -0,0 +1,193 @@ +package com.twitter.cr_mixer.logging + +import com.twitter.cr_mixer.model.RelatedTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.logging.ScribeLoggerUtils._ +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.thriftscala.FetchCandidatesResult +import com.twitter.cr_mixer.thriftscala.GetRelatedTweetsScribe +import com.twitter.cr_mixer.thriftscala.PerformanceMetrics +import com.twitter.cr_mixer.thriftscala.PreRankFilterResult +import com.twitter.cr_mixer.thriftscala.RelatedTweetRequest +import com.twitter.cr_mixer.thriftscala.RelatedTweetResponse +import com.twitter.cr_mixer.thriftscala.RelatedTweetResult +import com.twitter.cr_mixer.thriftscala.RelatedTweetTopLevelApiResult +import com.twitter.cr_mixer.thriftscala.TweetCandidateWithMetadata +import com.twitter.cr_mixer.util.CandidateGenerationKeyUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.tracing.Trace +import com.twitter.logging.Logger +import com.twitter.simclusters_v2.common.UserId +import com.twitter.util.Future +import com.twitter.util.Stopwatch +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +case class RelatedTweetScribeLogger @Inject() ( + decider: CrMixerDecider, + statsReceiver: StatsReceiver, + @Named(ModuleNames.RelatedTweetsLogger) relatedTweetsScribeLogger: Logger) { + + private val scopedStats = statsReceiver.scope("RelatedTweetsScribeLogger") + private val topLevelApiStats = scopedStats.scope("TopLevelApi") + private val topLevelApiNoUserIdStats = scopedStats.scope("TopLevelApiNoUserId") + private val upperFunnelsStats = scopedStats.scope("UpperFunnels") + private val upperFunnelsNoUserIdStats = scopedStats.scope("UpperFunnelsNoUserId") + + def scribeInitialCandidates( + query: RelatedTweetCandidateGeneratorQuery, + getResultFn: => Future[Seq[Seq[InitialCandidate]]] + ): Future[Seq[Seq[InitialCandidate]]] = { + scribeResultsAndPerformanceMetrics( + RelatedTweetScribeMetadata.from(query), + getResultFn, + convertToResultFn = convertFetchCandidatesResult + ) + } + + def scribePreRankFilterCandidates( + query: RelatedTweetCandidateGeneratorQuery, + getResultFn: => Future[Seq[Seq[InitialCandidate]]] + ): Future[Seq[Seq[InitialCandidate]]] = { + scribeResultsAndPerformanceMetrics( + RelatedTweetScribeMetadata.from(query), + getResultFn, + convertToResultFn = convertPreRankFilterResult + ) + } + + /** + * Scribe Top Level API Request / Response and performance metrics + * for the getRelatedTweets endpoint. + */ + def scribeGetRelatedTweets( + request: RelatedTweetRequest, + startTime: Long, + relatedTweetScribeMetadata: RelatedTweetScribeMetadata, + getResultFn: => Future[RelatedTweetResponse] + ): Future[RelatedTweetResponse] = { + val timer = Stopwatch.start() + getResultFn.onSuccess { response => + relatedTweetScribeMetadata.clientContext.userId match { + case Some(userId) => + if (decider.isAvailableForId(userId, DeciderConstants.upperFunnelPerStepScribeRate)) { + topLevelApiStats.counter(relatedTweetScribeMetadata.product.originalName).incr() + val latencyMs = timer().inMilliseconds + val result = convertTopLevelAPIResult(request, response, startTime) + val traceId = Trace.id.traceId.toLong + val scribeMsg = + buildScribeMessage(result, relatedTweetScribeMetadata, latencyMs, traceId) + + scribeResult(scribeMsg) + } + case _ => + topLevelApiNoUserIdStats.counter(relatedTweetScribeMetadata.product.originalName).incr() + } + } + } + + /** + * Scribe Per-step intermediate results and performance metrics + * for each step: fetch candidates, filters. + */ + private def scribeResultsAndPerformanceMetrics[T]( + relatedTweetScribeMetadata: RelatedTweetScribeMetadata, + getResultFn: => Future[T], + convertToResultFn: (T, UserId) => RelatedTweetResult + ): Future[T] = { + val timer = Stopwatch.start() + getResultFn.onSuccess { input => + relatedTweetScribeMetadata.clientContext.userId match { + case Some(userId) => + if (decider.isAvailableForId(userId, DeciderConstants.upperFunnelPerStepScribeRate)) { + upperFunnelsStats.counter(relatedTweetScribeMetadata.product.originalName).incr() + val latencyMs = timer().inMilliseconds + val result = convertToResultFn(input, userId) + val traceId = Trace.id.traceId.toLong + val scribeMsg = + buildScribeMessage(result, relatedTweetScribeMetadata, latencyMs, traceId) + scribeResult(scribeMsg) + } + case _ => + upperFunnelsNoUserIdStats.counter(relatedTweetScribeMetadata.product.originalName).incr() + } + } + } + + private def convertTopLevelAPIResult( + request: RelatedTweetRequest, + response: RelatedTweetResponse, + startTime: Long + ): RelatedTweetResult = { + RelatedTweetResult.RelatedTweetTopLevelApiResult( + RelatedTweetTopLevelApiResult( + timestamp = startTime, + request = request, + response = response + )) + } + + private def convertFetchCandidatesResult( + candidatesSeq: Seq[Seq[InitialCandidate]], + requestUserId: UserId + ): RelatedTweetResult = { + val tweetCandidatesWithMetadata = candidatesSeq.flatMap { candidates => + candidates.map { candidate => + TweetCandidateWithMetadata( + tweetId = candidate.tweetId, + candidateGenerationKey = None + ) // do not hydrate candidateGenerationKey to save cost + } + } + RelatedTweetResult.FetchCandidatesResult( + FetchCandidatesResult(Some(tweetCandidatesWithMetadata))) + } + + private def convertPreRankFilterResult( + candidatesSeq: Seq[Seq[InitialCandidate]], + requestUserId: UserId + ): RelatedTweetResult = { + val tweetCandidatesWithMetadata = candidatesSeq.flatMap { candidates => + candidates.map { candidate => + val candidateGenerationKey = + CandidateGenerationKeyUtil.toThrift(candidate.candidateGenerationInfo, requestUserId) + TweetCandidateWithMetadata( + tweetId = candidate.tweetId, + candidateGenerationKey = Some(candidateGenerationKey), + authorId = Some(candidate.tweetInfo.authorId), + score = Some(candidate.getSimilarityScore), + numCandidateGenerationKeys = None + ) + } + } + RelatedTweetResult.PreRankFilterResult(PreRankFilterResult(Some(tweetCandidatesWithMetadata))) + } + + private def buildScribeMessage( + relatedTweetResult: RelatedTweetResult, + relatedTweetScribeMetadata: RelatedTweetScribeMetadata, + latencyMs: Long, + traceId: Long + ): GetRelatedTweetsScribe = { + GetRelatedTweetsScribe( + uuid = relatedTweetScribeMetadata.requestUUID, + internalId = relatedTweetScribeMetadata.internalId, + relatedTweetResult = relatedTweetResult, + requesterId = relatedTweetScribeMetadata.clientContext.userId, + guestId = relatedTweetScribeMetadata.clientContext.guestId, + traceId = Some(traceId), + performanceMetrics = Some(PerformanceMetrics(Some(latencyMs))), + impressedBuckets = getImpressedBuckets(scopedStats) + ) + } + + private def scribeResult( + scribeMsg: GetRelatedTweetsScribe + ): Unit = { + publish(logger = relatedTweetsScribeLogger, codec = GetRelatedTweetsScribe, message = scribeMsg) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/ScribeLoggerUtils.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/ScribeLoggerUtils.scala new file mode 100644 index 000000000..3b30c3f10 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/ScribeLoggerUtils.scala @@ -0,0 +1,43 @@ +package com.twitter.cr_mixer.logging + +import com.twitter.cr_mixer.featureswitch.CrMixerImpressedBuckets +import com.twitter.cr_mixer.thriftscala.ImpressesedBucketInfo +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.logging.Logger +import com.twitter.scrooge.BinaryThriftStructSerializer +import com.twitter.scrooge.ThriftStruct +import com.twitter.scrooge.ThriftStructCodec + +object ScribeLoggerUtils { + + /** + * Handles base64-encoding, serialization, and publish. + */ + private[logging] def publish[T <: ThriftStruct]( + logger: Logger, + codec: ThriftStructCodec[T], + message: T + ): Unit = { + logger.info(BinaryThriftStructSerializer(codec).toString(message)) + } + + private[logging] def getImpressedBuckets( + scopedStats: StatsReceiver + ): Option[List[ImpressesedBucketInfo]] = { + StatsUtil.trackNonFutureBlockStats(scopedStats.scope("getImpressedBuckets")) { + CrMixerImpressedBuckets.getAllImpressedBuckets.map { listBuckets => + val listBucketsSet = listBuckets.toSet + scopedStats.stat("impressed_buckets").add(listBucketsSet.size) + listBucketsSet.map { bucket => + ImpressesedBucketInfo( + experimentId = bucket.experiment.settings.experimentId.getOrElse(-1L), + bucketName = bucket.name, + version = bucket.experiment.settings.version, + ) + }.toList + } + } + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/ScribeMetadata.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/ScribeMetadata.scala new file mode 100644 index 000000000..8c0444e38 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/ScribeMetadata.scala @@ -0,0 +1,45 @@ +package com.twitter.cr_mixer.logging + +import com.twitter.cr_mixer.model.AdsCandidateGeneratorQuery +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.RelatedTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.UtegTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.thriftscala.Product +import com.twitter.product_mixer.core.thriftscala.ClientContext +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.InternalId + +case class ScribeMetadata( + requestUUID: Long, + userId: UserId, + product: Product) + +object ScribeMetadata { + def from(query: CrCandidateGeneratorQuery): ScribeMetadata = { + ScribeMetadata(query.requestUUID, query.userId, query.product) + } + + def from(query: UtegTweetCandidateGeneratorQuery): ScribeMetadata = { + ScribeMetadata(query.requestUUID, query.userId, query.product) + } + + def from(query: AdsCandidateGeneratorQuery): ScribeMetadata = { + ScribeMetadata(query.requestUUID, query.userId, query.product) + } +} + +case class RelatedTweetScribeMetadata( + requestUUID: Long, + internalId: InternalId, + clientContext: ClientContext, + product: Product) + +object RelatedTweetScribeMetadata { + def from(query: RelatedTweetCandidateGeneratorQuery): RelatedTweetScribeMetadata = { + RelatedTweetScribeMetadata( + query.requestUUID, + query.internalId, + query.clientContext, + query.product) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/TopLevelDdgMetricsMetadata.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/TopLevelDdgMetricsMetadata.scala new file mode 100644 index 000000000..3dd07e58e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/TopLevelDdgMetricsMetadata.scala @@ -0,0 +1,22 @@ +package com.twitter.cr_mixer +package logging + +import com.twitter.cr_mixer.thriftscala.CrMixerTweetRequest +import com.twitter.cr_mixer.thriftscala.Product + +case class TopLevelDdgMetricsMetadata( + userId: Option[Long], + product: Product, + clientApplicationId: Option[Long], + countryCode: Option[String]) + +object TopLevelDdgMetricsMetadata { + def from(request: CrMixerTweetRequest): TopLevelDdgMetricsMetadata = { + TopLevelDdgMetricsMetadata( + userId = request.clientContext.userId, + product = request.product, + clientApplicationId = request.clientContext.appId, + countryCode = request.clientContext.countryCode + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/UtegTweetScribeLogger.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/UtegTweetScribeLogger.scala new file mode 100644 index 000000000..fb01a419b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/logging/UtegTweetScribeLogger.scala @@ -0,0 +1,147 @@ +package com.twitter.cr_mixer.logging + +import com.twitter.cr_mixer.logging.ScribeLoggerUtils._ +import com.twitter.cr_mixer.model.UtegTweetCandidateGeneratorQuery +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScoreAndSocialProof +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.thriftscala.UtegTweetRequest +import com.twitter.cr_mixer.thriftscala.UtegTweetResponse +import com.twitter.cr_mixer.thriftscala.FetchCandidatesResult +import com.twitter.cr_mixer.thriftscala.GetUtegTweetsScribe +import com.twitter.cr_mixer.thriftscala.PerformanceMetrics +import com.twitter.cr_mixer.thriftscala.UtegTweetResult +import com.twitter.cr_mixer.thriftscala.UtegTweetTopLevelApiResult +import com.twitter.cr_mixer.thriftscala.TweetCandidateWithMetadata +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.tracing.Trace +import com.twitter.logging.Logger +import com.twitter.simclusters_v2.common.UserId +import com.twitter.util.Future +import com.twitter.util.Stopwatch +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +case class UtegTweetScribeLogger @Inject() ( + decider: CrMixerDecider, + statsReceiver: StatsReceiver, + @Named(ModuleNames.UtegTweetsLogger) utegTweetScribeLogger: Logger) { + + private val scopedStats = statsReceiver.scope("UtegTweetScribeLogger") + private val topLevelApiStats = scopedStats.scope("TopLevelApi") + private val upperFunnelsStats = scopedStats.scope("UpperFunnels") + + def scribeInitialCandidates( + query: UtegTweetCandidateGeneratorQuery, + getResultFn: => Future[Seq[TweetWithScoreAndSocialProof]] + ): Future[Seq[TweetWithScoreAndSocialProof]] = { + scribeResultsAndPerformanceMetrics( + ScribeMetadata.from(query), + getResultFn, + convertToResultFn = convertFetchCandidatesResult + ) + } + + /** + * Scribe Top Level API Request / Response and performance metrics + * for the GetUtegTweetRecommendations() endpoint. + */ + def scribeGetUtegTweetRecommendations( + request: UtegTweetRequest, + startTime: Long, + scribeMetadata: ScribeMetadata, + getResultFn: => Future[UtegTweetResponse] + ): Future[UtegTweetResponse] = { + val timer = Stopwatch.start() + getResultFn.onSuccess { response => + if (decider.isAvailableForId( + scribeMetadata.userId, + DeciderConstants.upperFunnelPerStepScribeRate)) { + topLevelApiStats.counter(scribeMetadata.product.originalName).incr() + val latencyMs = timer().inMilliseconds + val result = convertTopLevelAPIResult(request, response, startTime) + val traceId = Trace.id.traceId.toLong + val scribeMsg = + buildScribeMessage(result, scribeMetadata, latencyMs, traceId) + + scribeResult(scribeMsg) + } + } + } + + private def convertTopLevelAPIResult( + request: UtegTweetRequest, + response: UtegTweetResponse, + startTime: Long + ): UtegTweetResult = { + UtegTweetResult.UtegTweetTopLevelApiResult( + UtegTweetTopLevelApiResult( + timestamp = startTime, + request = request, + response = response + )) + } + + private def buildScribeMessage( + utegTweetResult: UtegTweetResult, + scribeMetadata: ScribeMetadata, + latencyMs: Long, + traceId: Long + ): GetUtegTweetsScribe = { + GetUtegTweetsScribe( + uuid = scribeMetadata.requestUUID, + userId = scribeMetadata.userId, + utegTweetResult = utegTweetResult, + traceId = Some(traceId), + performanceMetrics = Some(PerformanceMetrics(Some(latencyMs))), + impressedBuckets = getImpressedBuckets(scopedStats) + ) + } + + private def scribeResult( + scribeMsg: GetUtegTweetsScribe + ): Unit = { + publish(logger = utegTweetScribeLogger, codec = GetUtegTweetsScribe, message = scribeMsg) + } + + private def convertFetchCandidatesResult( + candidates: Seq[TweetWithScoreAndSocialProof], + requestUserId: UserId + ): UtegTweetResult = { + val tweetCandidatesWithMetadata = candidates.map { candidate => + TweetCandidateWithMetadata( + tweetId = candidate.tweetId, + candidateGenerationKey = None + ) // do not hydrate candidateGenerationKey to save cost + } + UtegTweetResult.FetchCandidatesResult(FetchCandidatesResult(Some(tweetCandidatesWithMetadata))) + } + + /** + * Scribe Per-step intermediate results and performance metrics + * for each step: fetch candidates, filters. + */ + private def scribeResultsAndPerformanceMetrics[T]( + scribeMetadata: ScribeMetadata, + getResultFn: => Future[T], + convertToResultFn: (T, UserId) => UtegTweetResult + ): Future[T] = { + val timer = Stopwatch.start() + getResultFn.onSuccess { input => + if (decider.isAvailableForId( + scribeMetadata.userId, + DeciderConstants.upperFunnelPerStepScribeRate)) { + upperFunnelsStats.counter(scribeMetadata.product.originalName).incr() + val latencyMs = timer().inMilliseconds + val result = convertToResultFn(input, scribeMetadata.userId) + val traceId = Trace.id.traceId.toLong + val scribeMsg = + buildScribeMessage(result, scribeMetadata, latencyMs, traceId) + scribeResult(scribeMsg) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/BUILD new file mode 100644 index 000000000..87c714254 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/BUILD @@ -0,0 +1,16 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core", + "content-recommender/thrift/src/main/thrift:thrift-scala", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/recos:recos-common-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/Candidate.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/Candidate.scala new file mode 100644 index 000000000..c357c9472 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/Candidate.scala @@ -0,0 +1,200 @@ +package com.twitter.cr_mixer.model + +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.cr_mixer.thriftscala.LineItemInfo +import com.twitter.simclusters_v2.common.TweetId + +sealed trait Candidate { + val tweetId: TweetId + + override def hashCode: Int = tweetId.toInt +} + +case class TweetWithCandidateGenerationInfo( + tweetId: TweetId, + candidateGenerationInfo: CandidateGenerationInfo) + extends Candidate { + + def getSimilarityScore: Double = + candidateGenerationInfo.similarityEngineInfo.score.getOrElse(0.0) +} + +case class InitialCandidate( + tweetId: TweetId, + tweetInfo: TweetInfo, + candidateGenerationInfo: CandidateGenerationInfo) + extends Candidate { + + /** * + * Get the Similarity Score of a Tweet from its CG Info. For instance, + * If it is from a UnifiedTweetBasedSimilarityEngine, the score will be the weighted combined score + * And if it is from a SimClustersANNSimilarityEngine, the score will be the SANN score + */ + def getSimilarityScore: Double = + candidateGenerationInfo.similarityEngineInfo.score.getOrElse(0.0) + + /** + * The same candidate can be generated by multiple algorithms. + * During blending, candidate deduping happens. In order to retain the candidateGenerationInfo + * from different algorithms, we attach them to a list of potentialReasons. + */ + def toBlendedCandidate( + potentialReasons: Seq[CandidateGenerationInfo], + ): BlendedCandidate = { + BlendedCandidate( + tweetId, + tweetInfo, + candidateGenerationInfo, + potentialReasons, + ) + } + + // for experimental purposes only when bypassing interleave / ranking + def toRankedCandidate(): RankedCandidate = { + RankedCandidate( + tweetId, + tweetInfo, + 0.0, // prediction score is default to 0.0 to help differentiate that it is a no-op + candidateGenerationInfo, + Seq(candidateGenerationInfo) + ) + } +} + +case class InitialAdsCandidate( + tweetId: TweetId, + lineItemInfo: Seq[LineItemInfo], + candidateGenerationInfo: CandidateGenerationInfo) + extends Candidate { + + /** * + * Get the Similarity Score of a Tweet from its CG Info. For instance, + * If it is from a UnifiedTweetBasedSimilarityEngine, the score will be the weighted combined score + * And if it is from a SimClustersANNSimilarityEngine, the score will be the SANN score + */ + def getSimilarityScore: Double = + candidateGenerationInfo.similarityEngineInfo.score.getOrElse(0.0) + + /** + * The same candidate can be generated by multiple algorithms. + * During blending, candidate deduping happens. In order to retain the candidateGenerationInfo + * from different algorithms, we attach them to a list of potentialReasons. + */ + def toBlendedAdsCandidate( + potentialReasons: Seq[CandidateGenerationInfo], + ): BlendedAdsCandidate = { + BlendedAdsCandidate( + tweetId, + lineItemInfo, + candidateGenerationInfo, + potentialReasons, + ) + } + + // for experimental purposes only when bypassing interleave / ranking + def toRankedAdsCandidate(): RankedAdsCandidate = { + RankedAdsCandidate( + tweetId, + lineItemInfo, + 0.0, // prediction score is default to 0.0 to help differentiate that it is a no-op + candidateGenerationInfo, + Seq(candidateGenerationInfo) + ) + } +} + +case class BlendedCandidate( + tweetId: TweetId, + tweetInfo: TweetInfo, + reasonChosen: CandidateGenerationInfo, + potentialReasons: Seq[CandidateGenerationInfo]) + extends Candidate { + + /** * + * Get the Similarity Score of a Tweet from its CG Info. For instance, + * If it is from a UnifiedTweetBasedSimilarityEngine, the score will be the weighted combined score + * And if it is from a SimClustersANNSimilarityEngine, the score will be the SANN score + */ + def getSimilarityScore: Double = + reasonChosen.similarityEngineInfo.score.getOrElse(0.0) + + assert(potentialReasons.contains(reasonChosen)) + + def toRankedCandidate(predictionScore: Double): RankedCandidate = { + RankedCandidate( + tweetId, + tweetInfo, + predictionScore, + reasonChosen, + potentialReasons + ) + } +} + +case class BlendedAdsCandidate( + tweetId: TweetId, + lineItemInfo: Seq[LineItemInfo], + reasonChosen: CandidateGenerationInfo, + potentialReasons: Seq[CandidateGenerationInfo]) + extends Candidate { + + /** * + * Get the Similarity Score of a Tweet from its CG Info. For instance, + * If it is from a UnifiedTweetBasedSimilarityEngine, the score will be the weighted combined score + * And if it is from a SimClustersANNSimilarityEngine, the score will be the SANN score + */ + def getSimilarityScore: Double = + reasonChosen.similarityEngineInfo.score.getOrElse(0.0) + + assert(potentialReasons.contains(reasonChosen)) + + def toRankedAdsCandidate(predictionScore: Double): RankedAdsCandidate = { + RankedAdsCandidate( + tweetId, + lineItemInfo, + predictionScore, + reasonChosen, + potentialReasons + ) + } +} + +case class RankedCandidate( + tweetId: TweetId, + tweetInfo: TweetInfo, + predictionScore: Double, + reasonChosen: CandidateGenerationInfo, + potentialReasons: Seq[CandidateGenerationInfo]) + extends Candidate { + + /** * + * Get the Similarity Score of a Tweet from its CG Info. For instance, + * If it is from a UnifiedTweetBasedSimilarityEngine, the score will be the weighted combined score + * And if it is from a SimClustersANNSimilarityEngine, the score will be the SANN score + */ + def getSimilarityScore: Double = + reasonChosen.similarityEngineInfo.score.getOrElse(0.0) + + assert(potentialReasons.contains(reasonChosen)) +} + +case class RankedAdsCandidate( + tweetId: TweetId, + lineItemInfo: Seq[LineItemInfo], + predictionScore: Double, + reasonChosen: CandidateGenerationInfo, + potentialReasons: Seq[CandidateGenerationInfo]) + extends Candidate { + + /** * + * Get the Similarity Score of a Tweet from its CG Info. For instance, + * If it is from a UnifiedTweetBasedSimilarityEngine, the score will be the weighted combined score + * And if it is from a SimClustersANNSimilarityEngine, the score will be the SANN score + */ + def getSimilarityScore: Double = + reasonChosen.similarityEngineInfo.score.getOrElse(0.0) + + assert(potentialReasons.contains(reasonChosen)) +} + +case class TripTweetWithScore(tweetId: TweetId, score: Double) extends Candidate diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/CandidateGenerationInfo.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/CandidateGenerationInfo.scala new file mode 100644 index 000000000..879c96b66 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/CandidateGenerationInfo.scala @@ -0,0 +1,67 @@ +package com.twitter.cr_mixer.model + +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.util.Time + +/*** + * Tweet-level attributes. Represents the source used in candidate generation + * Due to legacy reason, SourceType used to represent both SourceType and SimilarityEngineType + * Moving forward, SourceType will be used for SourceType ONLY. eg., TweetFavorite, UserFollow, TwiceUserId + * At the same time, We create a new SimilarityEngineType to separate them. eg., SimClustersANN + * + * Currently, one special case is that we have TwiceUserId as a source, which is not necessarily a "signal" + * @param sourceType, e.g., SourceType.TweetFavorite, SourceType.UserFollow, SourceType.TwiceUserId + * @param internalId, e.g., UserId(0L), TweetId(0L) + */ +case class SourceInfo( + sourceType: SourceType, + internalId: InternalId, + sourceEventTime: Option[Time]) + +/*** + * Tweet-level attributes. Represents the source User Graph used in candidate generation + * It is an intermediate product, and will not be stored, unlike SourceInfo. + * Essentially, CrMixer queries a graph, and the graph returns a list of users to be used as sources. + * For instance, RealGraph, EarlyBird, FRS, Stp, etc. The underlying similarity engines such as + * UTG or UTEG will leverage these sources to build candidates. + * + * We extended the definition of SourceType to cover both "Source Signal" and "Source Graph" + * See [CrMixer] Graph Based Source Fetcher Abstraction Proposal: + * + * consider making both SourceInfo and GraphSourceInfo extends the same trait to + * have a unified interface. + */ +case class GraphSourceInfo( + sourceType: SourceType, + seedWithScores: Map[UserId, Double]) + +/*** + * Tweet-level attributes. Represents the similarity engine (the algorithm) used for + * candidate generation along with their metadata. + * @param similarityEngineType, e.g., SimClustersANN, UserTweetGraph + * @param modelId. e.g., UserTweetGraphConsumerEmbedding_ALL_20210708 + * @param score - a score generated by this sim engine + */ +case class SimilarityEngineInfo( + similarityEngineType: SimilarityEngineType, + modelId: Option[String], // ModelId can be a None. e.g., UTEG, UnifiedTweetBasedSE. etc + score: Option[Double]) + +/**** + * Tweet-level attributes. A combination for both SourceInfo and SimilarityEngineInfo + * SimilarityEngine is a composition, and it can be composed by many leaf Similarity Engines. + * For instance, the TweetBasedUnified SE could be a composition of both UserTweetGraph SE, SimClustersANN SE. + * Note that a SimilarityEngine (Composite) may call other SimilarityEngines (Atomic, Contributing) + * to contribute to its final candidate list. We track these Contributing SEs in the contributingSimilarityEngines list + * + * @param sourceInfoOpt - this is optional as many consumerBased CG does not have a source + * @param similarityEngineInfo - the similarity engine used in Candidate Generation (eg., TweetBasedUnifiedSE). It can be an atomic SE or an composite SE + * @param contributingSimilarityEngines - only composite SE will have it (e.g., SANNN, UTG). Otherwise it is an empty Seq. All contributing SEs mst be atomic + */ +case class CandidateGenerationInfo( + sourceInfoOpt: Option[SourceInfo], + similarityEngineInfo: SimilarityEngineInfo, + contributingSimilarityEngines: Seq[SimilarityEngineInfo]) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/CandidateGeneratorQuery.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/CandidateGeneratorQuery.scala new file mode 100644 index 000000000..084cbb042 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/CandidateGeneratorQuery.scala @@ -0,0 +1,96 @@ +package com.twitter.cr_mixer.model + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.cr_mixer.thriftscala.Product +import com.twitter.product_mixer.core.thriftscala.ClientContext +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.simclusters_v2.thriftscala.TopicId +import com.twitter.timelines.configapi.Params + +sealed trait CandidateGeneratorQuery { + val product: Product + val maxNumResults: Int + val impressedTweetList: Set[TweetId] + val params: Params + val requestUUID: Long +} + +sealed trait HasUserId { + val userId: UserId +} + +case class CrCandidateGeneratorQuery( + userId: UserId, + product: Product, + userState: UserState, + maxNumResults: Int, + impressedTweetList: Set[TweetId], + params: Params, + requestUUID: Long, + languageCode: Option[String] = None) + extends CandidateGeneratorQuery + with HasUserId + +case class UtegTweetCandidateGeneratorQuery( + userId: UserId, + product: Product, + userState: UserState, + maxNumResults: Int, + impressedTweetList: Set[TweetId], + params: Params, + requestUUID: Long) + extends CandidateGeneratorQuery + with HasUserId + +case class RelatedTweetCandidateGeneratorQuery( + internalId: InternalId, + clientContext: ClientContext, // To scribe LogIn/LogOut requests + product: Product, + maxNumResults: Int, + impressedTweetList: Set[TweetId], + params: Params, + requestUUID: Long) + extends CandidateGeneratorQuery + +case class RelatedVideoTweetCandidateGeneratorQuery( + internalId: InternalId, + clientContext: ClientContext, // To scribe LogIn/LogOut requests + product: Product, + maxNumResults: Int, + impressedTweetList: Set[TweetId], + params: Params, + requestUUID: Long) + extends CandidateGeneratorQuery + +case class FrsTweetCandidateGeneratorQuery( + userId: UserId, + product: Product, + maxNumResults: Int, + impressedUserList: Set[UserId], + impressedTweetList: Set[TweetId], + params: Params, + languageCodeOpt: Option[String] = None, + countryCodeOpt: Option[String] = None, + requestUUID: Long) + extends CandidateGeneratorQuery + +case class AdsCandidateGeneratorQuery( + userId: UserId, + product: Product, + userState: UserState, + maxNumResults: Int, + params: Params, + requestUUID: Long) + +case class TopicTweetCandidateGeneratorQuery( + userId: UserId, + topicIds: Set[TopicId], + product: Product, + maxNumResults: Int, + impressedTweetList: Set[TweetId], + params: Params, + requestUUID: Long, + isVideoOnly: Boolean) + extends CandidateGeneratorQuery diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/EarlybirdSimilarityEngineType.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/EarlybirdSimilarityEngineType.scala new file mode 100644 index 000000000..aa3040373 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/EarlybirdSimilarityEngineType.scala @@ -0,0 +1,6 @@ +package com.twitter.cr_mixer.model + +sealed trait EarlybirdSimilarityEngineType +object EarlybirdSimilarityEngineType_RecencyBased extends EarlybirdSimilarityEngineType +object EarlybirdSimilarityEngineType_ModelBased extends EarlybirdSimilarityEngineType +object EarlybirdSimilarityEngineType_TensorflowBased extends EarlybirdSimilarityEngineType diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/HealthThreshold.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/HealthThreshold.scala new file mode 100644 index 000000000..0249798bd --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/HealthThreshold.scala @@ -0,0 +1,11 @@ +package com.twitter.cr_mixer.model + +object HealthThreshold { + object Enum extends Enumeration { + val Off: Value = Value(1) + val Moderate: Value = Value(2) + val Strict: Value = Value(3) + val Stricter: Value = Value(4) + val StricterPlus: Value = Value(5) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/ModelConfig.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/ModelConfig.scala new file mode 100644 index 000000000..26db7898b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/ModelConfig.scala @@ -0,0 +1,77 @@ +package com.twitter.cr_mixer.model + +/** + * A Configuration class for all Model Based Candidate Sources. + * + * The Model Name Guideline. Please your modelId as "Algorithm_Product_Date" + * If your model is used for multiple product surfaces, name it as all + * Don't name your algorithm as MBCG. All the algorithms here are MBCG =.= + * + * Don't forgot to add your new models into allHnswANNSimilarityEngineModelIds list. + */ +object ModelConfig { + // Offline SimClusters CG Experiment related Model Ids + val OfflineInterestedInFromKnownFor2020: String = "OfflineIIKF_ALL_20220414" + val OfflineInterestedInFromKnownFor2020Hl0El15: String = "OfflineIIKF_ALL_20220414_Hl0_El15" + val OfflineInterestedInFromKnownFor2020Hl2El15: String = "OfflineIIKF_ALL_20220414_Hl2_El15" + val OfflineInterestedInFromKnownFor2020Hl2El50: String = "OfflineIIKF_ALL_20220414_Hl2_El50" + val OfflineInterestedInFromKnownFor2020Hl8El50: String = "OfflineIIKF_ALL_20220414_Hl8_El50" + val OfflineMTSConsumerEmbeddingsFav90P20M: String = + "OfflineMTSConsumerEmbeddingsFav90P20M_ALL_20220414" + + // Twhin Model Ids + val ConsumerBasedTwHINRegularUpdateAll20221024: String = + "ConsumerBasedTwHINRegularUpdate_All_20221024" + + // Averaged Twhin Model Ids + val TweetBasedTwHINRegularUpdateAll20221024: String = + "TweetBasedTwHINRegularUpdate_All_20221024" + + // Collaborative Filtering Twhin Model Ids + val TwhinCollabFilterForFollow: String = + "TwhinCollabFilterForFollow" + val TwhinCollabFilterForEngagement: String = + "TwhinCollabFilterForEngagement" + val TwhinMultiClusterForFollow: String = + "TwhinMultiClusterForFollow" + val TwhinMultiClusterForEngagement: String = + "TwhinMultiClusterForEngagement" + + // Two Tower model Ids + val TwoTowerFavALL20220808: String = + "TwoTowerFav_ALL_20220808" + + // Debugger Demo-Only Model Ids + val DebuggerDemo: String = "DebuggerDemo" + + // ColdStartLookalike - this is not really a model name, it is as a placeholder to + // indicate ColdStartLookalike candidate source, which is currently being pluged into + // CustomizedRetrievalCandidateGeneration temporarily. + val ColdStartLookalikeModelName: String = "ConsumersBasedUtgColdStartLookalike20220707" + + // consumersBasedUTG-RealGraphOon Model Id + val ConsumersBasedUtgRealGraphOon20220705: String = "ConsumersBasedUtgRealGraphOon_All_20220705" + // consumersBasedUAG-RealGraphOon Model Id + val ConsumersBasedUagRealGraphOon20221205: String = "ConsumersBasedUagRealGraphOon_All_20221205" + + // FTR + val OfflineFavDecayedSum: String = "OfflineFavDecayedSum" + val OfflineFtrAt5Pop1000RnkDcy11: String = "OfflineFtrAt5Pop1000RnkDcy11" + val OfflineFtrAt5Pop10000RnkDcy11: String = "OfflineFtrAt5Pop10000RnkDcy11" + + // All Model Ids of HnswANNSimilarityEngines + val allHnswANNSimilarityEngineModelIds = Seq( + ConsumerBasedTwHINRegularUpdateAll20221024, + TwoTowerFavALL20220808, + DebuggerDemo + ) + + val ConsumerLogFavBasedInterestedInEmbedding: String = + "ConsumerLogFavBasedInterestedIn_ALL_20221228" + val ConsumerFollowBasedInterestedInEmbedding: String = + "ConsumerFollowBasedInterestedIn_ALL_20221228" + + val RetweetBasedDiffusion: String = + "RetweetBasedDiffusion" + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/ModuleNames.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/ModuleNames.scala new file mode 100644 index 000000000..6aec7b052 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/ModuleNames.scala @@ -0,0 +1,122 @@ +package com.twitter.cr_mixer.model + +/** + * Define name annotated module names here + */ +object ModuleNames { + + final val FrsStore = "FrsStore" + final val UssStore = "UssStore" + final val UssStratoColumn = "UssStratoColumn" + final val RsxStore = "RsxStore" + final val RmsTweetLogFavLongestL2EmbeddingStore = "RmsTweetLogFavLongestL2EmbeddingStore" + final val RmsUserFavBasedProducerEmbeddingStore = "RmsUserFavBasedProducerEmbeddingStore" + final val RmsUserLogFavInterestedInEmbeddingStore = "RmsUserLogFavInterestedInEmbeddingStore" + final val RmsUserFollowInterestedInEmbeddingStore = "RmsUserFollowInterestedInEmbeddingStore" + final val StpStore = "StpStore" + final val TwiceClustersMembersStore = "TwiceClustersMembersStore" + final val TripCandidateStore = "TripCandidateStore" + + final val ConsumerEmbeddingBasedTripSimilarityEngine = + "ConsumerEmbeddingBasedTripSimilarityEngine" + final val ConsumerEmbeddingBasedTwHINANNSimilarityEngine = + "ConsumerEmbeddingBasedTwHINANNSimilarityEngine" + final val ConsumerEmbeddingBasedTwoTowerANNSimilarityEngine = + "ConsumerEmbeddingBasedTwoTowerANNSimilarityEngine" + final val ConsumersBasedUserAdGraphSimilarityEngine = + "ConsumersBasedUserAdGraphSimilarityEngine" + final val ConsumersBasedUserVideoGraphSimilarityEngine = + "ConsumersBasedUserVideoGraphSimilarityEngine" + + final val ConsumerBasedWalsSimilarityEngine = "ConsumerBasedWalsSimilarityEngine" + + final val TweetBasedTwHINANNSimilarityEngine = "TweetBasedTwHINANNSimilarityEngine" + + final val SimClustersANNSimilarityEngine = "SimClustersANNSimilarityEngine" + + final val ProdSimClustersANNServiceClientName = "ProdSimClustersANNServiceClient" + final val ExperimentalSimClustersANNServiceClientName = "ExperimentalSimClustersANNServiceClient" + final val SimClustersANNServiceClientName1 = "SimClustersANNServiceClient1" + final val SimClustersANNServiceClientName2 = "SimClustersANNServiceClient2" + final val SimClustersANNServiceClientName3 = "SimClustersANNServiceClient3" + final val SimClustersANNServiceClientName5 = "SimClustersANNServiceClient5" + final val SimClustersANNServiceClientName4 = "SimClustersANNServiceClient4" + final val UnifiedCache = "unifiedCache" + final val MLScoreCache = "mlScoreCache" + final val TweetRecommendationResultsCache = "tweetRecommendationResultsCache" + final val EarlybirdTweetsCache = "earlybirdTweetsCache" + final val EarlybirdRecencyBasedWithoutRetweetsRepliesTweetsCache = + "earlybirdTweetsWithoutRetweetsRepliesCacheStore" + final val EarlybirdRecencyBasedWithRetweetsRepliesTweetsCache = + "earlybirdTweetsWithRetweetsRepliesCacheStore" + + final val AbDeciderLogger = "abDeciderLogger" + final val TopLevelApiDdgMetricsLogger = "topLevelApiDdgMetricsLogger" + final val TweetRecsLogger = "tweetRecsLogger" + final val BlueVerifiedTweetRecsLogger = "blueVerifiedTweetRecsLogger" + final val RelatedTweetsLogger = "relatedTweetsLogger" + final val UtegTweetsLogger = "utegTweetsLogger" + final val AdsRecommendationsLogger = "adsRecommendationLogger" + + final val OfflineSimClustersANNInterestedInSimilarityEngine = + "OfflineSimClustersANNInterestedInSimilarityEngine" + + final val RealGraphOonStore = "RealGraphOonStore" + final val RealGraphInStore = "RealGraphInStore" + + final val OfflineTweet2020CandidateStore = "OfflineTweet2020CandidateStore" + final val OfflineTweet2020Hl0El15CandidateStore = "OfflineTweet2020Hl0El15CandidateStore" + final val OfflineTweet2020Hl2El15CandidateStore = "OfflineTweet2020Hl2El15CandidateStore" + final val OfflineTweet2020Hl2El50CandidateStore = "OfflineTweet2020Hl2El50CandidateStore" + final val OfflineTweet2020Hl8El50CandidateStore = "OfflineTweet2020Hl8El50CandidateStore" + final val OfflineTweetMTSCandidateStore = "OfflineTweetMTSCandidateStore" + + final val OfflineFavDecayedSumCandidateStore = "OfflineFavDecayedSumCandidateStore" + final val OfflineFtrAt5Pop1000RankDecay11CandidateStore = + "OfflineFtrAt5Pop1000RankDecay11CandidateStore" + final val OfflineFtrAt5Pop10000RankDecay11CandidateStore = + "OfflineFtrAt5Pop10000RankDecay11CandidateStore" + + final val TwhinCollabFilterStratoStoreForFollow = "TwhinCollabFilterStratoStoreForFollow" + final val TwhinCollabFilterStratoStoreForEngagement = "TwhinCollabFilterStratoStoreForEngagement" + final val TwhinMultiClusterStratoStoreForFollow = "TwhinMultiClusterStratoStoreForFollow" + final val TwhinMultiClusterStratoStoreForEngagement = "TwhinMultiClusterStratoStoreForEngagement" + + final val ProducerBasedUserAdGraphSimilarityEngine = + "ProducerBasedUserAdGraphSimilarityEngine" + final val ProducerBasedUserTweetGraphSimilarityEngine = + "ProducerBasedUserTweetGraphSimilarityEngine" + final val ProducerBasedUnifiedSimilarityEngine = "ProducerBasedUnifiedSimilarityEngine" + + final val TweetBasedUserAdGraphSimilarityEngine = "TweetBasedUserAdGraphSimilarityEngine" + final val TweetBasedUserTweetGraphSimilarityEngine = "TweetBasedUserTweetGraphSimilarityEngine" + final val TweetBasedUserVideoGraphSimilarityEngine = "TweetBasedUserVideoGraphSimilarityEngine" + final val TweetBasedQigSimilarityEngine = "TweetBasedQigSimilarityEngine" + final val TweetBasedUnifiedSimilarityEngine = "TweetBasedUnifiedSimilarityEngine" + + final val TwhinCollabFilterSimilarityEngine = "TwhinCollabFilterSimilarityEngine" + + final val ConsumerBasedUserTweetGraphStore = "ConsumerBasedUserTweetGraphStore" + final val ConsumerBasedUserVideoGraphStore = "ConsumerBasedUserVideoGraphStore" + final val ConsumerBasedUserAdGraphStore = "ConsumerBasedUserAdGraphStore" + + final val UserTweetEntityGraphSimilarityEngine = + "UserTweetEntityGraphSimilarityEngine" + + final val CertoTopicTweetSimilarityEngine = "CertoTopicTweetSimilarityEngine" + final val CertoStratoStoreName = "CertoStratoStore" + + final val SkitTopicTweetSimilarityEngine = "SkitTopicTweetSimilarityEngine" + final val SkitHighPrecisionTopicTweetSimilarityEngine = + "SkitHighPrecisionTopicTweetSimilarityEngine" + final val SkitStratoStoreName = "SkitStratoStore" + + final val HomeNaviGRPCClient = "HomeNaviGRPCClient" + final val AdsFavedNaviGRPCClient = "AdsFavedNaviGRPCClient" + final val AdsMonetizableNaviGRPCClient = "AdsMonetizableNaviGRPCClient" + + final val RetweetBasedDiffusionRecsMhStore = "RetweetBasedDiffusionRecsMhStore" + final val DiffusionBasedSimilarityEngine = "DiffusionBasedSimilarityEngine" + + final val BlueVerifiedAnnotationStore = "BlueVerifiedAnnotationStore" +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TopicTweetWithScore.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TopicTweetWithScore.scala new file mode 100644 index 000000000..e9a0cf173 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TopicTweetWithScore.scala @@ -0,0 +1,13 @@ +package com.twitter.cr_mixer.model + +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.simclusters_v2.common.TweetId + +/*** + * Bind a tweetId with a raw score generated from one single Similarity Engine + * @param similarityEngineType, which underlying topic source the topic tweet is from + */ +case class TopicTweetWithScore( + tweetId: TweetId, + score: Double, + similarityEngineType: SimilarityEngineType) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithAuthor.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithAuthor.scala new file mode 100644 index 000000000..16a506a4c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithAuthor.scala @@ -0,0 +1,6 @@ +package com.twitter.cr_mixer.model + +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId + +case class TweetWithAuthor(tweetId: TweetId, authorId: UserId) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithScore.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithScore.scala new file mode 100644 index 000000000..ad8866912 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithScore.scala @@ -0,0 +1,8 @@ +package com.twitter.cr_mixer.model + +import com.twitter.simclusters_v2.common.TweetId + +/*** + * Bind a tweetId with a raw score generated from one single Similarity Engine + */ +case class TweetWithScore(tweetId: TweetId, score: Double) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithScoreAndSocialProof.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithScoreAndSocialProof.scala new file mode 100644 index 000000000..94e430d8e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model/TweetWithScoreAndSocialProof.scala @@ -0,0 +1,12 @@ +package com.twitter.cr_mixer.model + +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.recos.recos_common.thriftscala.SocialProofType + +/*** + * Bind a tweetId with a raw score and social proofs by type + */ +case class TweetWithScoreAndSocialProof( + tweetId: TweetId, + score: Double, + socialProofByType: Map[SocialProofType, Seq[Long]]) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ActivePromotedTweetStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ActivePromotedTweetStoreModule.scala new file mode 100644 index 000000000..d6529531a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ActivePromotedTweetStoreModule.scala @@ -0,0 +1,135 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.bijection.thrift.CompactThriftCodec +import com.twitter.ads.entities.db.thriftscala.LineItemObjective +import com.twitter.bijection.Injection +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.thriftscala.LineItemInfo +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hermit.store.common.ObservedCachedReadableStore +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.DataType +import com.twitter.ml.api.Feature +import com.twitter.ml.api.GeneralTensor +import com.twitter.ml.api.RichDataRecord +import com.twitter.relevance_platform.common.injection.LZ4Injection +import com.twitter.relevance_platform.common.injection.SeqObjectInjection +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.manhattan.ManhattanRO +import com.twitter.storehaus_internal.manhattan.ManhattanROConfig +import com.twitter.storehaus_internal.manhattan.Revenue +import com.twitter.storehaus_internal.util.ApplicationID +import com.twitter.storehaus_internal.util.DatasetName +import com.twitter.storehaus_internal.util.HDFSPath +import com.twitter.util.Future +import javax.inject.Named +import scala.collection.JavaConverters._ + +object ActivePromotedTweetStoreModule extends TwitterModule { + + case class ActivePromotedTweetStore( + activePromotedTweetMHStore: ReadableStore[String, DataRecord], + statsReceiver: StatsReceiver) + extends ReadableStore[TweetId, Seq[LineItemInfo]] { + override def get(tweetId: TweetId): Future[Option[Seq[LineItemInfo]]] = { + activePromotedTweetMHStore.get(tweetId.toString).map { + _.map { dataRecord => + val richDataRecord = new RichDataRecord(dataRecord) + val lineItemIdsFeature: Feature[GeneralTensor] = + new Feature.Tensor("active_promoted_tweets.line_item_ids", DataType.INT64) + + val lineItemObjectivesFeature: Feature[GeneralTensor] = + new Feature.Tensor("active_promoted_tweets.line_item_objectives", DataType.INT64) + + val lineItemIdsTensor: GeneralTensor = richDataRecord.getFeatureValue(lineItemIdsFeature) + val lineItemObjectivesTensor: GeneralTensor = + richDataRecord.getFeatureValue(lineItemObjectivesFeature) + + val lineItemIds: Seq[Long] = + if (lineItemIdsTensor.getSetField == GeneralTensor._Fields.INT64_TENSOR && lineItemIdsTensor.getInt64Tensor.isSetLongs) { + lineItemIdsTensor.getInt64Tensor.getLongs.asScala.map(_.toLong) + } else Seq.empty + + val lineItemObjectives: Seq[LineItemObjective] = + if (lineItemObjectivesTensor.getSetField == GeneralTensor._Fields.INT64_TENSOR && lineItemObjectivesTensor.getInt64Tensor.isSetLongs) { + lineItemObjectivesTensor.getInt64Tensor.getLongs.asScala.map(objective => + LineItemObjective(objective.toInt)) + } else Seq.empty + + val lineItemInfo = + if (lineItemIds.size == lineItemObjectives.size) { + lineItemIds.zipWithIndex.map { + case (lineItemId, index) => + LineItemInfo( + lineItemId = lineItemId, + lineItemObjective = lineItemObjectives(index) + ) + } + } else Seq.empty + + lineItemInfo + } + } + } + } + + @Provides + @Singleton + def providesActivePromotedTweetStore( + manhattanKVClientMtlsParams: ManhattanKVClientMtlsParams, + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + crMixerStatsReceiver: StatsReceiver + ): ReadableStore[TweetId, Seq[LineItemInfo]] = { + + val mhConfig = new ManhattanROConfig { + val hdfsPath = HDFSPath("") + val applicationID = ApplicationID("ads_bigquery_features") + val datasetName = DatasetName("active_promoted_tweets") + val cluster = Revenue + + override def statsReceiver: StatsReceiver = + crMixerStatsReceiver.scope("active_promoted_tweets_mh") + } + val mhStore: ReadableStore[String, DataRecord] = + ManhattanRO + .getReadableStoreWithMtls[String, DataRecord]( + mhConfig, + manhattanKVClientMtlsParams + )( + implicitly[Injection[String, Array[Byte]]], + CompactThriftCodec[DataRecord] + ) + + val underlyingStore = + ActivePromotedTweetStore(mhStore, crMixerStatsReceiver.scope("ActivePromotedTweetStore")) + val memcachedStore = ObservedMemcachedReadableStore.fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 60.minutes, + asyncUpdate = false + )( + valueInjection = LZ4Injection.compose(SeqObjectInjection[LineItemInfo]()), + statsReceiver = crMixerStatsReceiver.scope("memCachedActivePromotedTweetStore"), + keyToString = { k: TweetId => s"apt/$k" } + ) + + ObservedCachedReadableStore.from( + memcachedStore, + ttl = 30.minutes, + maxKeys = 250000, // size of promoted tweet is around 200,000 + windowSize = 10000L, + cacheName = "active_promoted_tweet_cache", + maxMultiGetSize = 20 + )(crMixerStatsReceiver.scope("inMemoryCachedActivePromotedTweetStore")) + + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/BUILD.bazel b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/BUILD.bazel new file mode 100644 index 000000000..6773b526c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/BUILD.bazel @@ -0,0 +1,130 @@ +scala_library( + sources = [ + "*.scala", + "core/*.scala", + "grpc_client/*.scala", + "similarity_engine/*.scala", + "source_signal/*.scala", + "thrift_client/*.scala", + ], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:core", + "3rdparty/jvm/com/twitter/bijection:scrooge", + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/com/twitter/storehaus:memcache", + "3rdparty/jvm/io/grpc:grpc-api", + "3rdparty/jvm/io/grpc:grpc-auth", + "3rdparty/jvm/io/grpc:grpc-core", + "3rdparty/jvm/io/grpc:grpc-netty", + "3rdparty/jvm/io/grpc:grpc-protobuf", + "3rdparty/jvm/io/grpc:grpc-stub", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/jvm/org/scalanlp:breeze", + "3rdparty/src/jvm/com/twitter/storehaus:core", + "abdecider/src/main/scala", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "configapi/configapi-abdecider", + "configapi/configapi-core", + "configapi/configapi-featureswitches:v2", + "content-recommender/server/src/main/scala/com/twitter/contentrecommender:cr-mixer-deps", + "content-recommender/thrift/src/main/thrift:thrift-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/candidate_generation", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/featureswitch", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "discovery-common/src/main/scala/com/twitter/discovery/common/configapi", + "featureswitches/featureswitches-core", + "featureswitches/featureswitches-core/src/main/scala/com/twitter/featureswitches/v2/builder", + "finagle-internal/finagle-grpc/src/main/scala", + "finagle-internal/mtls/src/main/scala/com/twitter/finagle/mtls/authentication", + "finatra-internal/kafka/src/main/scala/com/twitter/finatra/kafka/consumers", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-modules/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "frigate/frigate-common:util", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/candidate", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store/health", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store/interests", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store/strato", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/store/common", + "hydra/partition/thrift/src/main/thrift:thrift-scala", + "hydra/root/thrift/src/main/thrift:thrift-scala", + "mediaservices/commons/src/main/scala:futuretracker", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "qig-ranker/thrift/src/main/thrift:thrift-scala", + "relevance-platform/src/main/scala/com/twitter/relevance_platform/common/health_store", + "relevance-platform/src/main/scala/com/twitter/relevance_platform/common/injection", + "relevance-platform/thrift/src/main/thrift:thrift-scala", + "representation-manager/client/src/main/scala/com/twitter/representation_manager", + "representation-manager/client/src/main/scala/com/twitter/representation_manager/config", + "representation-manager/server/src/main/scala/com/twitter/representation_manager/migration", + "representation-manager/server/src/main/thrift:thrift-scala", + "representation-scorer/server/src/main/thrift:thrift-scala", + "servo/decider", + "servo/util/src/main/scala", + "simclusters-ann/thrift/src/main/thrift:thrift-scala", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/java/com/twitter/ml/api:api-base", + "src/java/com/twitter/search/queryparser/query:core-query-nodes", + "src/java/com/twitter/search/queryparser/query/search:search-query-nodes", + "src/scala/com/twitter/algebird_internal/injection", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "src/scala/com/twitter/ml/api/embedding", + "src/scala/com/twitter/ml/featurestore/lib", + "src/scala/com/twitter/scalding_internal/multiformat/format", + "src/scala/com/twitter/simclusters_v2/candidate_source", + "src/scala/com/twitter/simclusters_v2/common", + "src/scala/com/twitter/storehaus_internal/manhattan", + "src/scala/com/twitter/storehaus_internal/manhattan/config", + "src/scala/com/twitter/storehaus_internal/memcache", + "src/scala/com/twitter/storehaus_internal/memcache/config", + "src/scala/com/twitter/storehaus_internal/offline", + "src/scala/com/twitter/storehaus_internal/util", + "src/scala/com/twitter/topic_recos/stores", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/frigate:frigate-common-thrift-scala", + "src/thrift/com/twitter/frigate:frigate-thrift-scala", + "src/thrift/com/twitter/frigate/data_pipeline/scalding:blue_verified_annotations-scala", + "src/thrift/com/twitter/hermit/stp:hermit-stp-scala", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/ml/api:embedding-scala", + "src/thrift/com/twitter/ml/featurestore:ml-feature-store-embedding-scala", + "src/thrift/com/twitter/onboarding/relevance/coldstart_lookalike:coldstartlookalike-thrift-scala", + "src/thrift/com/twitter/recos:recos-common-scala", + "src/thrift/com/twitter/recos/user_ad_graph:user_ad_graph-scala", + "src/thrift/com/twitter/recos/user_tweet_entity_graph:user_tweet_entity_graph-scala", + "src/thrift/com/twitter/recos/user_tweet_graph:user_tweet_graph-scala", + "src/thrift/com/twitter/recos/user_tweet_graph_plus:user_tweet_graph_plus-scala", + "src/thrift/com/twitter/recos/user_video_graph:user_video_graph-scala", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/search/query_interaction_graph/service:qig-service-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "src/thrift/com/twitter/topic_recos:topic_recos-thrift-scala", + "src/thrift/com/twitter/trends/trip_v1:trip-tweets-thrift-scala", + "src/thrift/com/twitter/tweetypie:service-scala", + "src/thrift/com/twitter/twistly:twistly-scala", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + "stitch/stitch-storehaus", + "stitch/stitch-tweetypie/src/main/scala", + "strato/src/main/scala/com/twitter/strato/client", + "user-signal-service/thrift/src/main/thrift:thrift-scala", + "util-internal/scribe/src/main/scala/com/twitter/logging", + "util/util-hashing", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/BlueVerifiedAnnotationStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/BlueVerifiedAnnotationStoreModule.scala new file mode 100644 index 000000000..21769d3fa --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/BlueVerifiedAnnotationStoreModule.scala @@ -0,0 +1,52 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.inject.TwitterModule +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.data_pipeline.scalding.thriftscala.BlueVerifiedAnnotationsV2 +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.manhattan.Athena +import com.twitter.storehaus_internal.manhattan.ManhattanRO +import com.twitter.storehaus_internal.manhattan.ManhattanROConfig +import com.twitter.storehaus_internal.util.ApplicationID +import com.twitter.storehaus_internal.util.DatasetName +import com.twitter.storehaus_internal.util.HDFSPath +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.hermit.store.common.ObservedCachedReadableStore + +object BlueVerifiedAnnotationStoreModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.BlueVerifiedAnnotationStore) + def providesBlueVerifiedAnnotationStore( + statsReceiver: StatsReceiver, + manhattanKVClientMtlsParams: ManhattanKVClientMtlsParams, + ): ReadableStore[String, BlueVerifiedAnnotationsV2] = { + + implicit val valueCodec = new BinaryScalaCodec(BlueVerifiedAnnotationsV2) + + val underlyingStore = ManhattanRO + .getReadableStoreWithMtls[String, BlueVerifiedAnnotationsV2]( + ManhattanROConfig( + HDFSPath(""), + ApplicationID("content_recommender_athena"), + DatasetName("blue_verified_annotations"), + Athena), + manhattanKVClientMtlsParams + ) + + ObservedCachedReadableStore.from( + underlyingStore, + ttl = 24.hours, + maxKeys = 100000, + windowSize = 10000L, + cacheName = "blue_verified_annotation_cache" + )(statsReceiver.scope("inMemoryCachedBlueVerifiedAnnotationStore")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/CertoStratoStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/CertoStratoStoreModule.scala new file mode 100644 index 000000000..9908aa702 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/CertoStratoStoreModule.scala @@ -0,0 +1,57 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.keyHasher +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hermit.store.common.ObservedCachedReadableStore +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.relevance_platform.common.injection.LZ4Injection +import com.twitter.relevance_platform.common.injection.SeqObjectInjection +import com.twitter.simclusters_v2.thriftscala.TopicId +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.Client +import com.twitter.topic_recos.stores.CertoTopicTopKTweetsStore +import com.twitter.topic_recos.thriftscala.TweetWithScores + +object CertoStratoStoreModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.CertoStratoStoreName) + def providesCertoStratoStore( + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + stratoClient: Client, + statsReceiver: StatsReceiver + ): ReadableStore[TopicId, Seq[TweetWithScores]] = { + val certoStore = ObservedReadableStore(CertoTopicTopKTweetsStore.prodStore(stratoClient))( + statsReceiver.scope(ModuleNames.CertoStratoStoreName)).mapValues { topKTweetsWithScores => + topKTweetsWithScores.topTweetsByFollowerL2NormalizedCosineSimilarityScore + } + + val memCachedStore = ObservedMemcachedReadableStore + .fromCacheClient( + backingStore = certoStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes + )( + valueInjection = LZ4Injection.compose(SeqObjectInjection[TweetWithScores]()), + statsReceiver = statsReceiver.scope("memcached_certo_store"), + keyToString = { k => s"certo:${keyHasher.hashKey(k.toString.getBytes)}" } + ) + + ObservedCachedReadableStore.from[TopicId, Seq[TweetWithScores]]( + memCachedStore, + ttl = 5.minutes, + maxKeys = 100000, // ~150MB max + cacheName = "certo_in_memory_cache", + windowSize = 10000L + )(statsReceiver.scope("certo_in_memory_cache")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserAdGraphStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserAdGraphStoreModule.scala new file mode 100644 index 000000000..33a0d33fc --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserAdGraphStoreModule.scala @@ -0,0 +1,30 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_ad_graph.thriftscala.ConsumersBasedRelatedAdRequest +import com.twitter.recos.user_ad_graph.thriftscala.RelatedAdResponse +import com.twitter.recos.user_ad_graph.thriftscala.UserAdGraph +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Named +import javax.inject.Singleton + +object ConsumersBasedUserAdGraphStoreModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ConsumerBasedUserAdGraphStore) + def providesConsumerBasedUserAdGraphStore( + userAdGraphService: UserAdGraph.MethodPerEndpoint + ): ReadableStore[ConsumersBasedRelatedAdRequest, RelatedAdResponse] = { + new ReadableStore[ConsumersBasedRelatedAdRequest, RelatedAdResponse] { + override def get( + k: ConsumersBasedRelatedAdRequest + ): Future[Option[RelatedAdResponse]] = { + userAdGraphService.consumersBasedRelatedAds(k).map(Some(_)) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserTweetGraphStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserTweetGraphStoreModule.scala new file mode 100644 index 000000000..ab027744a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserTweetGraphStoreModule.scala @@ -0,0 +1,30 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_tweet_graph.thriftscala.ConsumersBasedRelatedTweetRequest +import com.twitter.recos.user_tweet_graph.thriftscala.RelatedTweetResponse +import com.twitter.recos.user_tweet_graph.thriftscala.UserTweetGraph +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Named +import javax.inject.Singleton + +object ConsumersBasedUserTweetGraphStoreModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ConsumerBasedUserTweetGraphStore) + def providesConsumerBasedUserTweetGraphStore( + userTweetGraphService: UserTweetGraph.MethodPerEndpoint + ): ReadableStore[ConsumersBasedRelatedTweetRequest, RelatedTweetResponse] = { + new ReadableStore[ConsumersBasedRelatedTweetRequest, RelatedTweetResponse] { + override def get( + k: ConsumersBasedRelatedTweetRequest + ): Future[Option[RelatedTweetResponse]] = { + userTweetGraphService.consumersBasedRelatedTweets(k).map(Some(_)) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserVideoGraphStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserVideoGraphStoreModule.scala new file mode 100644 index 000000000..05cf496d8 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/ConsumersBasedUserVideoGraphStoreModule.scala @@ -0,0 +1,30 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_video_graph.thriftscala.ConsumersBasedRelatedTweetRequest +import com.twitter.recos.user_video_graph.thriftscala.RelatedTweetResponse +import com.twitter.recos.user_video_graph.thriftscala.UserVideoGraph +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Named +import javax.inject.Singleton + +object ConsumersBasedUserVideoGraphStoreModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ConsumerBasedUserVideoGraphStore) + def providesConsumerBasedUserVideoGraphStore( + userVideoGraphService: UserVideoGraph.MethodPerEndpoint + ): ReadableStore[ConsumersBasedRelatedTweetRequest, RelatedTweetResponse] = { + new ReadableStore[ConsumersBasedRelatedTweetRequest, RelatedTweetResponse] { + override def get( + k: ConsumersBasedRelatedTweetRequest + ): Future[Option[RelatedTweetResponse]] = { + userVideoGraphService.consumersBasedRelatedTweets(k).map(Some(_)) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/CrMixerParamConfigModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/CrMixerParamConfigModule.scala new file mode 100644 index 000000000..baece7947 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/CrMixerParamConfigModule.scala @@ -0,0 +1,16 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.timelines.configapi.Config +import com.twitter.cr_mixer.param.CrMixerParamConfig +import com.twitter.inject.TwitterModule +import javax.inject.Singleton + +object CrMixerParamConfigModule extends TwitterModule { + + @Provides + @Singleton + def provideConfig(): Config = { + CrMixerParamConfig.config + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/DiffusionStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/DiffusionStoreModule.scala new file mode 100644 index 000000000..dc95f07f5 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/DiffusionStoreModule.scala @@ -0,0 +1,54 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.bijection.Injection +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.thriftscala.TweetsWithScore +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.manhattan.Apollo +import com.twitter.storehaus_internal.manhattan.ManhattanRO +import com.twitter.storehaus_internal.manhattan.ManhattanROConfig +import com.twitter.storehaus_internal.util.ApplicationID +import com.twitter.storehaus_internal.util.DatasetName +import com.twitter.storehaus_internal.util.HDFSPath +import javax.inject.Named +import javax.inject.Singleton + +object DiffusionStoreModule extends TwitterModule { + type UserId = Long + implicit val longCodec = implicitly[Injection[Long, Array[Byte]]] + implicit val tweetRecsInjection: Injection[TweetsWithScore, Array[Byte]] = + BinaryScalaCodec(TweetsWithScore) + + @Provides + @Singleton + @Named(ModuleNames.RetweetBasedDiffusionRecsMhStore) + def retweetBasedDiffusionRecsMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[Long, TweetsWithScore] = { + val manhattanROConfig = ManhattanROConfig( + HDFSPath(""), // not needed + ApplicationID("cr_mixer_apollo"), + DatasetName("diffusion_retweet_tweet_recs"), + Apollo + ) + + buildTweetRecsStore(serviceIdentifier, manhattanROConfig) + } + + private def buildTweetRecsStore( + serviceIdentifier: ServiceIdentifier, + manhattanROConfig: ManhattanROConfig + ): ReadableStore[Long, TweetsWithScore] = { + + ManhattanRO + .getReadableStoreWithMtls[Long, TweetsWithScore]( + manhattanROConfig, + ManhattanKVClientMtlsParams(serviceIdentifier) + )(longCodec, tweetRecsInjection) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/EarlybirdRecencyBasedCandidateStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/EarlybirdRecencyBasedCandidateStoreModule.scala new file mode 100644 index 000000000..c0fe025f0 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/EarlybirdRecencyBasedCandidateStoreModule.scala @@ -0,0 +1,189 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.EarlybirdClientId +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.FacetsToFetch +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.GetCollectorTerminationParams +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.GetEarlybirdQuery +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.MetadataOptions +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.SeqLongInjection +import com.twitter.hashing.KeyHasher +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.search.common.query.thriftjava.thriftscala.CollectorParams +import com.twitter.search.earlybird.thriftscala.EarlybirdRequest +import com.twitter.search.earlybird.thriftscala.EarlybirdResponseCode +import com.twitter.search.earlybird.thriftscala.EarlybirdService +import com.twitter.search.earlybird.thriftscala.ThriftSearchQuery +import com.twitter.search.earlybird.thriftscala.ThriftSearchRankingMode +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Duration +import com.twitter.util.Future +import javax.inject.Named + +object EarlybirdRecencyBasedCandidateStoreModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.EarlybirdRecencyBasedWithoutRetweetsRepliesTweetsCache) + def providesEarlybirdRecencyBasedWithoutRetweetsRepliesCandidateStore( + statsReceiver: StatsReceiver, + earlybirdSearchClient: EarlybirdService.MethodPerEndpoint, + @Named(ModuleNames.EarlybirdTweetsCache) earlybirdRecencyBasedTweetsCache: MemcachedClient, + timeoutConfig: TimeoutConfig + ): ReadableStore[UserId, Seq[TweetId]] = { + val stats = statsReceiver.scope("EarlybirdRecencyBasedWithoutRetweetsRepliesCandidateStore") + val underlyingStore = new ReadableStore[UserId, Seq[TweetId]] { + override def get(userId: UserId): Future[Option[Seq[TweetId]]] = { + // Home based EB filters out retweets and replies + val earlybirdRequest = + buildEarlybirdRequest( + userId, + FilterOutRetweetsAndReplies, + DefaultMaxNumTweetPerUser, + timeoutConfig.earlybirdServerTimeout) + getEarlybirdSearchResult(earlybirdSearchClient, earlybirdRequest, stats) + } + } + ObservedMemcachedReadableStore.fromCacheClient( + backingStore = underlyingStore, + cacheClient = earlybirdRecencyBasedTweetsCache, + ttl = MemcacheKeyTimeToLiveDuration, + asyncUpdate = true + )( + valueInjection = SeqLongInjection, + statsReceiver = statsReceiver.scope("earlybird_recency_based_tweets_home_memcache"), + keyToString = { k => + f"uEBRBHM:${keyHasher.hashKey(k.toString.getBytes)}%X" // prefix = EarlyBirdRecencyBasedHoMe + } + ) + } + + @Provides + @Singleton + @Named(ModuleNames.EarlybirdRecencyBasedWithRetweetsRepliesTweetsCache) + def providesEarlybirdRecencyBasedWithRetweetsRepliesCandidateStore( + statsReceiver: StatsReceiver, + earlybirdSearchClient: EarlybirdService.MethodPerEndpoint, + @Named(ModuleNames.EarlybirdTweetsCache) earlybirdRecencyBasedTweetsCache: MemcachedClient, + timeoutConfig: TimeoutConfig + ): ReadableStore[UserId, Seq[TweetId]] = { + val stats = statsReceiver.scope("EarlybirdRecencyBasedWithRetweetsRepliesCandidateStore") + val underlyingStore = new ReadableStore[UserId, Seq[TweetId]] { + override def get(userId: UserId): Future[Option[Seq[TweetId]]] = { + val earlybirdRequest = buildEarlybirdRequest( + userId, + // Notifications based EB keeps retweets and replies + NotFilterOutRetweetsAndReplies, + DefaultMaxNumTweetPerUser, + processingTimeout = timeoutConfig.earlybirdServerTimeout + ) + getEarlybirdSearchResult(earlybirdSearchClient, earlybirdRequest, stats) + } + } + ObservedMemcachedReadableStore.fromCacheClient( + backingStore = underlyingStore, + cacheClient = earlybirdRecencyBasedTweetsCache, + ttl = MemcacheKeyTimeToLiveDuration, + asyncUpdate = true + )( + valueInjection = SeqLongInjection, + statsReceiver = statsReceiver.scope("earlybird_recency_based_tweets_notifications_memcache"), + keyToString = { k => + f"uEBRBN:${keyHasher.hashKey(k.toString.getBytes)}%X" // prefix = EarlyBirdRecencyBasedNotifications + } + ) + } + + private val keyHasher: KeyHasher = KeyHasher.FNV1A_64 + + /** + * Note the DefaultMaxNumTweetPerUser is used to adjust the result size per cache entry. + * If the value changes, it will increase the size of the memcache. + */ + private val DefaultMaxNumTweetPerUser: Int = 100 + private val FilterOutRetweetsAndReplies = true + private val NotFilterOutRetweetsAndReplies = false + private val MemcacheKeyTimeToLiveDuration: Duration = Duration.fromMinutes(15) + + private def buildEarlybirdRequest( + seedUserId: UserId, + filterOutRetweetsAndReplies: Boolean, + maxNumTweetsPerSeedUser: Int, + processingTimeout: Duration + ): EarlybirdRequest = + EarlybirdRequest( + searchQuery = getThriftSearchQuery( + seedUserId = seedUserId, + filterOutRetweetsAndReplies = filterOutRetweetsAndReplies, + maxNumTweetsPerSeedUser = maxNumTweetsPerSeedUser, + processingTimeout = processingTimeout + ), + clientId = Some(EarlybirdClientId), + timeoutMs = processingTimeout.inMilliseconds.intValue(), + getOlderResults = Some(false), + adjustedProtectedRequestParams = None, + adjustedFullArchiveRequestParams = None, + getProtectedTweetsOnly = Some(false), + skipVeryRecentTweets = true, + ) + + private def getThriftSearchQuery( + seedUserId: UserId, + filterOutRetweetsAndReplies: Boolean, + maxNumTweetsPerSeedUser: Int, + processingTimeout: Duration + ): ThriftSearchQuery = ThriftSearchQuery( + serializedQuery = GetEarlybirdQuery( + None, + None, + Set.empty, + filterOutRetweetsAndReplies + ).map(_.serialize), + fromUserIDFilter64 = Some(Seq(seedUserId)), + numResults = maxNumTweetsPerSeedUser, + rankingMode = ThriftSearchRankingMode.Recency, + collectorParams = Some( + CollectorParams( + // numResultsToReturn defines how many results each EB shard will return to search root + numResultsToReturn = maxNumTweetsPerSeedUser, + // terminationParams.maxHitsToProcess is used for early terminating per shard results fetching. + terminationParams = + GetCollectorTerminationParams(maxNumTweetsPerSeedUser, processingTimeout) + )), + facetFieldNames = Some(FacetsToFetch), + resultMetadataOptions = Some(MetadataOptions), + searchStatusIds = None + ) + + private def getEarlybirdSearchResult( + earlybirdSearchClient: EarlybirdService.MethodPerEndpoint, + request: EarlybirdRequest, + statsReceiver: StatsReceiver + ): Future[Option[Seq[TweetId]]] = earlybirdSearchClient + .search(request) + .map { response => + response.responseCode match { + case EarlybirdResponseCode.Success => + val earlybirdSearchResult = + response.searchResults + .map { + _.results + .map(searchResult => searchResult.id) + } + statsReceiver.scope("result").stat("size").add(earlybirdSearchResult.size) + earlybirdSearchResult + case e => + statsReceiver.scope("failures").counter(e.getClass.getSimpleName).incr() + Some(Seq.empty) + } + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/EmbeddingStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/EmbeddingStoreModule.scala new file mode 100644 index 000000000..26d9f8ad1 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/EmbeddingStoreModule.scala @@ -0,0 +1,195 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.bijection.Injection +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.bijection.scrooge.CompactScalaCodec +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.inject.TwitterModule +import com.twitter.ml.api.{thriftscala => api} +import com.twitter.simclusters_v2.thriftscala.CandidateTweetsList +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.manhattan.Apollo +import com.twitter.storehaus_internal.manhattan.ManhattanRO +import com.twitter.storehaus_internal.manhattan.ManhattanROConfig +import com.twitter.storehaus_internal.util.ApplicationID +import com.twitter.storehaus_internal.util.DatasetName +import com.twitter.storehaus_internal.util.HDFSPath +import javax.inject.Named +import javax.inject.Singleton + +object EmbeddingStoreModule extends TwitterModule { + type UserId = Long + implicit val mbcgUserEmbeddingInjection: Injection[api.Embedding, Array[Byte]] = + CompactScalaCodec(api.Embedding) + implicit val tweetCandidatesInjection: Injection[CandidateTweetsList, Array[Byte]] = + CompactScalaCodec(CandidateTweetsList) + + final val TwHINEmbeddingRegularUpdateMhStoreName = "TwHINEmbeddingRegularUpdateMhStore" + @Provides + @Singleton + @Named(TwHINEmbeddingRegularUpdateMhStoreName) + def twHINEmbeddingRegularUpdateMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[InternalId, api.Embedding] = { + val binaryEmbeddingInjection: Injection[api.Embedding, Array[Byte]] = + BinaryScalaCodec(api.Embedding) + + val longCodec = implicitly[Injection[Long, Array[Byte]]] + + ManhattanRO + .getReadableStoreWithMtls[TweetId, api.Embedding]( + ManhattanROConfig( + HDFSPath(""), // not needed + ApplicationID("cr_mixer_apollo"), + DatasetName("twhin_regular_update_tweet_embedding_apollo"), + Apollo + ), + ManhattanKVClientMtlsParams(serviceIdentifier) + )(longCodec, binaryEmbeddingInjection).composeKeyMapping[InternalId] { + case InternalId.TweetId(tweetId) => + tweetId + case _ => + throw new UnsupportedOperationException("Invalid Internal Id") + } + } + + final val ConsumerBasedTwHINEmbeddingRegularUpdateMhStoreName = + "ConsumerBasedTwHINEmbeddingRegularUpdateMhStore" + @Provides + @Singleton + @Named(ConsumerBasedTwHINEmbeddingRegularUpdateMhStoreName) + def consumerBasedTwHINEmbeddingRegularUpdateMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[InternalId, api.Embedding] = { + val binaryEmbeddingInjection: Injection[api.Embedding, Array[Byte]] = + BinaryScalaCodec(api.Embedding) + + val longCodec = implicitly[Injection[Long, Array[Byte]]] + + ManhattanRO + .getReadableStoreWithMtls[UserId, api.Embedding]( + ManhattanROConfig( + HDFSPath(""), // not needed + ApplicationID("cr_mixer_apollo"), + DatasetName("twhin_user_embedding_regular_update_apollo"), + Apollo + ), + ManhattanKVClientMtlsParams(serviceIdentifier) + )(longCodec, binaryEmbeddingInjection).composeKeyMapping[InternalId] { + case InternalId.UserId(userId) => + userId + case _ => + throw new UnsupportedOperationException("Invalid Internal Id") + } + } + + final val TwoTowerFavConsumerEmbeddingMhStoreName = "TwoTowerFavConsumerEmbeddingMhStore" + @Provides + @Singleton + @Named(TwoTowerFavConsumerEmbeddingMhStoreName) + def twoTowerFavConsumerEmbeddingMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[InternalId, api.Embedding] = { + val binaryEmbeddingInjection: Injection[api.Embedding, Array[Byte]] = + BinaryScalaCodec(api.Embedding) + + val longCodec = implicitly[Injection[Long, Array[Byte]]] + + ManhattanRO + .getReadableStoreWithMtls[UserId, api.Embedding]( + ManhattanROConfig( + HDFSPath(""), // not needed + ApplicationID("cr_mixer_apollo"), + DatasetName("two_tower_fav_user_embedding_apollo"), + Apollo + ), + ManhattanKVClientMtlsParams(serviceIdentifier) + )(longCodec, binaryEmbeddingInjection).composeKeyMapping[InternalId] { + case InternalId.UserId(userId) => + userId + case _ => + throw new UnsupportedOperationException("Invalid Internal Id") + } + } + + final val DebuggerDemoUserEmbeddingMhStoreName = "DebuggerDemoUserEmbeddingMhStoreName" + @Provides + @Singleton + @Named(DebuggerDemoUserEmbeddingMhStoreName) + def debuggerDemoUserEmbeddingStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[InternalId, api.Embedding] = { + // This dataset is from src/scala/com/twitter/wtf/beam/bq_embedding_export/sql/MlfExperimentalUserEmbeddingScalaDataset.sql + // Change the above sql if you want to use a diff embedding + val manhattanROConfig = ManhattanROConfig( + HDFSPath(""), // not needed + ApplicationID("cr_mixer_apollo"), + DatasetName("experimental_user_embedding"), + Apollo + ) + buildUserEmbeddingStore(serviceIdentifier, manhattanROConfig) + } + + final val DebuggerDemoTweetEmbeddingMhStoreName = "DebuggerDemoTweetEmbeddingMhStore" + @Provides + @Singleton + @Named(DebuggerDemoTweetEmbeddingMhStoreName) + def debuggerDemoTweetEmbeddingStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[InternalId, api.Embedding] = { + // This dataset is from src/scala/com/twitter/wtf/beam/bq_embedding_export/sql/MlfExperimentalTweetEmbeddingScalaDataset.sql + // Change the above sql if you want to use a diff embedding + val manhattanROConfig = ManhattanROConfig( + HDFSPath(""), // not needed + ApplicationID("cr_mixer_apollo"), + DatasetName("experimental_tweet_embedding"), + Apollo + ) + buildTweetEmbeddingStore(serviceIdentifier, manhattanROConfig) + } + + private def buildUserEmbeddingStore( + serviceIdentifier: ServiceIdentifier, + manhattanROConfig: ManhattanROConfig + ): ReadableStore[InternalId, api.Embedding] = { + val binaryEmbeddingInjection: Injection[api.Embedding, Array[Byte]] = + BinaryScalaCodec(api.Embedding) + + val longCodec = implicitly[Injection[Long, Array[Byte]]] + ManhattanRO + .getReadableStoreWithMtls[UserId, api.Embedding]( + manhattanROConfig, + ManhattanKVClientMtlsParams(serviceIdentifier) + )(longCodec, binaryEmbeddingInjection).composeKeyMapping[InternalId] { + case InternalId.UserId(userId) => + userId + case _ => + throw new UnsupportedOperationException("Invalid Internal Id") + } + } + + private def buildTweetEmbeddingStore( + serviceIdentifier: ServiceIdentifier, + manhattanROConfig: ManhattanROConfig + ): ReadableStore[InternalId, api.Embedding] = { + val binaryEmbeddingInjection: Injection[api.Embedding, Array[Byte]] = + BinaryScalaCodec(api.Embedding) + + val longCodec = implicitly[Injection[Long, Array[Byte]]] + + ManhattanRO + .getReadableStoreWithMtls[TweetId, api.Embedding]( + manhattanROConfig, + ManhattanKVClientMtlsParams(serviceIdentifier) + )(longCodec, binaryEmbeddingInjection).composeKeyMapping[InternalId] { + case InternalId.TweetId(tweetId) => + tweetId + case _ => + throw new UnsupportedOperationException("Invalid Internal Id") + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/FrsStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/FrsStoreModule.scala new file mode 100644 index 000000000..cfe044afd --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/FrsStoreModule.scala @@ -0,0 +1,29 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.source_signal.FrsStore +import com.twitter.cr_mixer.source_signal.FrsStore.FrsQueryResult +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.follow_recommendations.thriftscala.FollowRecommendationsThriftService +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.storehaus.ReadableStore +import javax.inject.Named + +object FrsStoreModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.FrsStore) + def providesFrsStore( + frsClient: FollowRecommendationsThriftService.MethodPerEndpoint, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): ReadableStore[FrsStore.Query, Seq[FrsQueryResult]] = { + ObservedReadableStore(FrsStore(frsClient, statsReceiver, decider))( + statsReceiver.scope("follow_recommendations_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/MHMtlsParamsModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/MHMtlsParamsModule.scala new file mode 100644 index 000000000..339d0330a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/MHMtlsParamsModule.scala @@ -0,0 +1,17 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.inject.TwitterModule +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import javax.inject.Singleton + +object MHMtlsParamsModule extends TwitterModule { + @Singleton + @Provides + def providesManhattanMtlsParams( + serviceIdentifier: ServiceIdentifier + ): ManhattanKVClientMtlsParams = { + ManhattanKVClientMtlsParams(serviceIdentifier) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/OfflineCandidateStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/OfflineCandidateStoreModule.scala new file mode 100644 index 000000000..db4a3fa5e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/OfflineCandidateStoreModule.scala @@ -0,0 +1,150 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.bijection.Injection +import com.twitter.bijection.scrooge.CompactScalaCodec +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.thriftscala.CandidateTweetsList +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.manhattan.Apollo +import com.twitter.storehaus_internal.manhattan.ManhattanRO +import com.twitter.storehaus_internal.manhattan.ManhattanROConfig +import com.twitter.storehaus_internal.util.ApplicationID +import com.twitter.storehaus_internal.util.DatasetName +import com.twitter.storehaus_internal.util.HDFSPath +import javax.inject.Named +import javax.inject.Singleton + +object OfflineCandidateStoreModule extends TwitterModule { + type UserId = Long + implicit val tweetCandidatesInjection: Injection[CandidateTweetsList, Array[Byte]] = + CompactScalaCodec(CandidateTweetsList) + + @Provides + @Singleton + @Named(ModuleNames.OfflineTweet2020CandidateStore) + def offlineTweet2020CandidateMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_interestedin_2020" + ) + } + + @Provides + @Singleton + @Named(ModuleNames.OfflineTweet2020Hl0El15CandidateStore) + def offlineTweet2020Hl0El15CandidateMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_interestedin_2020_hl_0_el_15" + ) + } + + @Provides + @Singleton + @Named(ModuleNames.OfflineTweet2020Hl2El15CandidateStore) + def offlineTweet2020Hl2El15CandidateMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_interestedin_2020_hl_2_el_15" + ) + } + + @Provides + @Singleton + @Named(ModuleNames.OfflineTweet2020Hl2El50CandidateStore) + def offlineTweet2020Hl2El50CandidateMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_interestedin_2020_hl_2_el_50" + ) + } + + @Provides + @Singleton + @Named(ModuleNames.OfflineTweet2020Hl8El50CandidateStore) + def offlineTweet2020Hl8El50CandidateMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_interestedin_2020_hl_8_el_50" + ) + } + + @Provides + @Singleton + @Named(ModuleNames.OfflineTweetMTSCandidateStore) + def offlineTweetMTSCandidateMhStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_mts_consumer_embeddings" + ) + } + + @Provides + @Singleton + @Named(ModuleNames.OfflineFavDecayedSumCandidateStore) + def offlineFavDecayedSumCandidateStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_decayed_sum" + ) + } + + @Provides + @Singleton + @Named(ModuleNames.OfflineFtrAt5Pop1000RankDecay11CandidateStore) + def offlineFtrAt5Pop1000RankDecay11CandidateStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_ftrat5_pop1000_rank_decay_1_1" + ) + } + + @Provides + @Singleton + @Named(ModuleNames.OfflineFtrAt5Pop10000RankDecay11CandidateStore) + def offlineFtrAt5Pop10000RankDecay11CandidateStore( + serviceIdentifier: ServiceIdentifier + ): ReadableStore[UserId, CandidateTweetsList] = { + buildOfflineCandidateStore( + serviceIdentifier, + datasetName = "offline_tweet_recommendations_from_ftrat5_pop10000_rank_decay_1_1" + ) + } + + private def buildOfflineCandidateStore( + serviceIdentifier: ServiceIdentifier, + datasetName: String + ): ReadableStore[UserId, CandidateTweetsList] = { + ManhattanRO + .getReadableStoreWithMtls[Long, CandidateTweetsList]( + ManhattanROConfig( + HDFSPath(""), // not needed + ApplicationID("multi_type_simclusters"), + DatasetName(datasetName), + Apollo + ), + ManhattanKVClientMtlsParams(serviceIdentifier) + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RealGraphOonStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RealGraphOonStoreModule.scala new file mode 100644 index 000000000..3d9a71a1c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RealGraphOonStoreModule.scala @@ -0,0 +1,39 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.app.Flag +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import javax.inject.Singleton +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.wtf.candidate.thriftscala.CandidateSeq + +object RealGraphOonStoreModule extends TwitterModule { + + private val userRealGraphOonColumnPath: Flag[String] = flag[String]( + name = "crMixer.userRealGraphOonColumnPath", + default = "recommendations/twistly/userRealgraphOon", + help = "Strato column path for user real graph OON Store" + ) + + @Provides + @Singleton + @Named(ModuleNames.RealGraphOonStore) + def providesRealGraphOonStore( + stratoClient: StratoClient, + statsReceiver: StatsReceiver + ): ReadableStore[UserId, CandidateSeq] = { + val realGraphOonStratoFetchableStore = StratoFetchableStore + .withUnitView[UserId, CandidateSeq](stratoClient, userRealGraphOonColumnPath()) + + ObservedReadableStore( + realGraphOonStratoFetchableStore + )(statsReceiver.scope("user_real_graph_oon_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RealGraphStoreMhModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RealGraphStoreMhModule.scala new file mode 100644 index 000000000..0cd1a3ad7 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RealGraphStoreMhModule.scala @@ -0,0 +1,67 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.UserId +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.manhattan.Apollo +import com.twitter.storehaus_internal.manhattan.ManhattanRO +import com.twitter.storehaus_internal.manhattan.ManhattanROConfig +import com.twitter.storehaus_internal.util.ApplicationID +import com.twitter.storehaus_internal.util.DatasetName +import com.twitter.storehaus_internal.util.HDFSPath +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.cr_mixer.param.decider.DeciderKey +import com.twitter.hermit.store.common.DeciderableReadableStore +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.wtf.candidate.thriftscala.CandidateSeq + +object RealGraphStoreMhModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.RealGraphInStore) + def providesRealGraphStoreMh( + decider: CrMixerDecider, + statsReceiver: StatsReceiver, + manhattanKVClientMtlsParams: ManhattanKVClientMtlsParams, + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + ): ReadableStore[UserId, CandidateSeq] = { + + implicit val valueCodec = new BinaryScalaCodec(CandidateSeq) + val underlyingStore = ManhattanRO + .getReadableStoreWithMtls[UserId, CandidateSeq]( + ManhattanROConfig( + HDFSPath(""), + ApplicationID("cr_mixer_apollo"), + DatasetName("real_graph_scores_apollo"), + Apollo), + manhattanKVClientMtlsParams + ) + + val memCachedStore = ObservedMemcachedReadableStore + .fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 24.hours, + )( + valueInjection = valueCodec, + statsReceiver = statsReceiver.scope("memCachedUserRealGraphMh"), + keyToString = { k: UserId => s"uRGraph/$k" } + ) + + DeciderableReadableStore( + memCachedStore, + decider.deciderGateBuilder.idGate(DeciderKey.enableRealGraphMhStoreDeciderKey), + statsReceiver.scope("RealGraphMh") + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RepresentationManagerModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RepresentationManagerModule.scala new file mode 100644 index 000000000..227e5fff3 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RepresentationManagerModule.scala @@ -0,0 +1,107 @@ +package com.twitter.cr_mixer.module + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.SimClustersEmbedding +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.representation_manager.thriftscala.SimClustersEmbeddingView +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclusters_v2.thriftscala.ModelVersion +import com.google.inject.Provides +import com.google.inject.Singleton +import javax.inject.Named +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.simclusters_v2.thriftscala.{SimClustersEmbedding => ThriftSimClustersEmbedding} + +object RepresentationManagerModule extends TwitterModule { + private val ColPathPrefix = "recommendations/representation_manager/" + private val SimclustersTweetColPath = ColPathPrefix + "simClustersEmbedding.Tweet" + private val SimclustersUserColPath = ColPathPrefix + "simClustersEmbedding.User" + + @Provides + @Singleton + @Named(ModuleNames.RmsTweetLogFavLongestL2EmbeddingStore) + def providesRepresentationManagerTweetStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[TweetId, SimClustersEmbedding] = { + ObservedReadableStore( + StratoFetchableStore + .withView[Long, SimClustersEmbeddingView, ThriftSimClustersEmbedding]( + stratoClient, + SimclustersTweetColPath, + SimClustersEmbeddingView( + EmbeddingType.LogFavLongestL2EmbeddingTweet, + ModelVersion.Model20m145k2020)) + .mapValues(SimClustersEmbedding(_)))( + statsReceiver.scope("rms_tweet_log_fav_longest_l2_store")) + } + + @Provides + @Singleton + @Named(ModuleNames.RmsUserFavBasedProducerEmbeddingStore) + def providesRepresentationManagerUserFavBasedProducerEmbeddingStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[UserId, SimClustersEmbedding] = { + ObservedReadableStore( + StratoFetchableStore + .withView[Long, SimClustersEmbeddingView, ThriftSimClustersEmbedding]( + stratoClient, + SimclustersUserColPath, + SimClustersEmbeddingView( + EmbeddingType.FavBasedProducer, + ModelVersion.Model20m145k2020 + ) + ) + .mapValues(SimClustersEmbedding(_)))( + statsReceiver.scope("rms_user_fav_based_producer_store")) + } + + @Provides + @Singleton + @Named(ModuleNames.RmsUserLogFavInterestedInEmbeddingStore) + def providesRepresentationManagerUserLogFavConsumerEmbeddingStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[UserId, SimClustersEmbedding] = { + ObservedReadableStore( + StratoFetchableStore + .withView[Long, SimClustersEmbeddingView, ThriftSimClustersEmbedding]( + stratoClient, + SimclustersUserColPath, + SimClustersEmbeddingView( + EmbeddingType.LogFavBasedUserInterestedIn, + ModelVersion.Model20m145k2020 + ) + ) + .mapValues(SimClustersEmbedding(_)))( + statsReceiver.scope("rms_user_log_fav_interestedin_store")) + } + + @Provides + @Singleton + @Named(ModuleNames.RmsUserFollowInterestedInEmbeddingStore) + def providesRepresentationManagerUserFollowInterestedInEmbeddingStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[UserId, SimClustersEmbedding] = { + ObservedReadableStore( + StratoFetchableStore + .withView[Long, SimClustersEmbeddingView, ThriftSimClustersEmbedding]( + stratoClient, + SimclustersUserColPath, + SimClustersEmbeddingView( + EmbeddingType.FollowBasedUserInterestedIn, + ModelVersion.Model20m145k2020 + ) + ) + .mapValues(SimClustersEmbedding(_)))( + statsReceiver.scope("rms_user_follow_interestedin_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RepresentationScorerModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RepresentationScorerModule.scala new file mode 100644 index 000000000..7db6474cc --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/RepresentationScorerModule.scala @@ -0,0 +1,56 @@ +package com.twitter.cr_mixer.module + +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.simclusters_v2.thriftscala.ModelVersion +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.storehaus.ReadableStore +import com.twitter.simclusters_v2.thriftscala.ScoringAlgorithm +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.hermit.store.common.ObservedReadableStore +import javax.inject.Named +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.representationscorer.thriftscala.ListScoreId + +object RepresentationScorerModule extends TwitterModule { + + private val rsxColumnPath = "recommendations/representation_scorer/listScore" + + private final val SimClusterModelVersion = ModelVersion.Model20m145k2020 + private final val TweetEmbeddingType = EmbeddingType.LogFavBasedTweet + + @Provides + @Singleton + @Named(ModuleNames.RsxStore) + def providesRepresentationScorerStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[(UserId, TweetId), Double] = { + ObservedReadableStore( + StratoFetchableStore + .withUnitView[ListScoreId, Double](stratoClient, rsxColumnPath).composeKeyMapping[( + UserId, + TweetId + )] { key => + representationScorerStoreKeyMapping(key._1, key._2) + } + )(statsReceiver.scope("rsx_store")) + } + + private def representationScorerStoreKeyMapping(t1: TweetId, t2: TweetId): ListScoreId = { + ListScoreId( + algorithm = ScoringAlgorithm.PairEmbeddingLogCosineSimilarity, + modelVersion = SimClusterModelVersion, + targetEmbeddingType = TweetEmbeddingType, + targetId = InternalId.TweetId(t1), + candidateEmbeddingType = TweetEmbeddingType, + candidateIds = Seq(InternalId.TweetId(t2)) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SampleSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SampleSimilarityEngineModule.scala new file mode 100644 index 000000000..98c3f4af6 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SampleSimilarityEngineModule.scala @@ -0,0 +1,90 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.LookupSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import javax.inject.Singleton + +/** + * In this example we build a [[StandardSimilarityEngine]] to wrap a dummy store + */ +object SimpleSimilarityEngineModule extends TwitterModule { + @Provides + @Singleton + def providesSimpleSimilarityEngine( + timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver + ): StandardSimilarityEngine[UserId, (TweetId, Double)] = { + // Inject your readableStore implementation here + val dummyStore = ReadableStore.fromMap( + Map( + 1L -> Seq((100L, 1.0), (101L, 1.0)), + 2L -> Seq((200L, 2.0), (201L, 2.0)), + 3L -> Seq((300L, 3.0), (301L, 3.0)) + )) + + new StandardSimilarityEngine[UserId, (TweetId, Double)]( + implementingStore = dummyStore, + identifier = SimilarityEngineType.EnumUnknownSimilarityEngineType(9997), + globalStats = globalStats, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} + +/** + * In this example we build a [[LookupSimilarityEngine]] to wrap a dummy store with 2 versions + */ +object LookupSimilarityEngineModule extends TwitterModule { + @Provides + @Singleton + def providesLookupSimilarityEngine( + timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver + ): LookupSimilarityEngine[UserId, (TweetId, Double)] = { + // Inject your readableStore implementation here + val dummyStoreV1 = ReadableStore.fromMap( + Map( + 1L -> Seq((100L, 1.0), (101L, 1.0)), + 2L -> Seq((200L, 2.0), (201L, 2.0)), + )) + + val dummyStoreV2 = ReadableStore.fromMap( + Map( + 1L -> Seq((100L, 1.0), (101L, 1.0)), + 2L -> Seq((200L, 2.0), (201L, 2.0)), + )) + + new LookupSimilarityEngine[UserId, (TweetId, Double)]( + versionedStoreMap = Map( + "V1" -> dummyStoreV1, + "V2" -> dummyStoreV2 + ), + identifier = SimilarityEngineType.EnumUnknownSimilarityEngineType(9998), + globalStats = globalStats, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SimClustersANNServiceNameToClientMapper.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SimClustersANNServiceNameToClientMapper.scala new file mode 100644 index 000000000..305839816 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SimClustersANNServiceNameToClientMapper.scala @@ -0,0 +1,33 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.inject.TwitterModule +import com.twitter.simclustersann.thriftscala.SimClustersANNService +import javax.inject.Named + +object SimClustersANNServiceNameToClientMapper extends TwitterModule { + + @Provides + @Singleton + def providesSimClustersANNServiceNameToClientMapping( + @Named(ModuleNames.ProdSimClustersANNServiceClientName) simClustersANNServiceProd: SimClustersANNService.MethodPerEndpoint, + @Named(ModuleNames.ExperimentalSimClustersANNServiceClientName) simClustersANNServiceExperimental: SimClustersANNService.MethodPerEndpoint, + @Named(ModuleNames.SimClustersANNServiceClientName1) simClustersANNService1: SimClustersANNService.MethodPerEndpoint, + @Named(ModuleNames.SimClustersANNServiceClientName2) simClustersANNService2: SimClustersANNService.MethodPerEndpoint, + @Named(ModuleNames.SimClustersANNServiceClientName3) simClustersANNService3: SimClustersANNService.MethodPerEndpoint, + @Named(ModuleNames.SimClustersANNServiceClientName5) simClustersANNService5: SimClustersANNService.MethodPerEndpoint, + @Named(ModuleNames.SimClustersANNServiceClientName4) simClustersANNService4: SimClustersANNService.MethodPerEndpoint + ): Map[String, SimClustersANNService.MethodPerEndpoint] = { + Map[String, SimClustersANNService.MethodPerEndpoint]( + "simclusters-ann" -> simClustersANNServiceProd, + "simclusters-ann-experimental" -> simClustersANNServiceExperimental, + "simclusters-ann-1" -> simClustersANNService1, + "simclusters-ann-2" -> simClustersANNService2, + "simclusters-ann-3" -> simClustersANNService3, + "simclusters-ann-5" -> simClustersANNService5, + "simclusters-ann-4" -> simClustersANNService4 + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SkitStratoStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SkitStratoStoreModule.scala new file mode 100644 index 000000000..318c2ed00 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/SkitStratoStoreModule.scala @@ -0,0 +1,65 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.keyHasher +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedCachedReadableStore +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.relevance_platform.common.injection.LZ4Injection +import com.twitter.relevance_platform.common.injection.SeqObjectInjection +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.Client +import com.twitter.topic_recos.thriftscala.TopicTopTweets +import com.twitter.topic_recos.thriftscala.TopicTweet +import com.twitter.topic_recos.thriftscala.TopicTweetPartitionFlatKey + +/** + * Strato store that wraps the topic top tweets pipeline indexed from a Summingbird job + */ +object SkitStratoStoreModule extends TwitterModule { + + val column = "recommendations/topic_recos/topicTopTweets" + + @Provides + @Singleton + @Named(ModuleNames.SkitStratoStoreName) + def providesSkitStratoStore( + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + stratoClient: Client, + statsReceiver: StatsReceiver + ): ReadableStore[TopicTweetPartitionFlatKey, Seq[TopicTweet]] = { + val skitStore = ObservedReadableStore( + StratoFetchableStore + .withUnitView[TopicTweetPartitionFlatKey, TopicTopTweets](stratoClient, column))( + statsReceiver.scope(ModuleNames.SkitStratoStoreName)).mapValues { topicTopTweets => + topicTopTweets.topTweets + } + + val memCachedStore = ObservedMemcachedReadableStore + .fromCacheClient( + backingStore = skitStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes + )( + valueInjection = LZ4Injection.compose(SeqObjectInjection[TopicTweet]()), + statsReceiver = statsReceiver.scope("memcached_skit_store"), + keyToString = { k => s"skit:${keyHasher.hashKey(k.toString.getBytes)}" } + ) + + ObservedCachedReadableStore.from[TopicTweetPartitionFlatKey, Seq[TopicTweet]]( + memCachedStore, + ttl = 5.minutes, + maxKeys = 100000, // ~150MB max + cacheName = "skit_in_memory_cache", + windowSize = 10000L + )(statsReceiver.scope("skit_in_memory_cache")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/StrongTiePredictionStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/StrongTiePredictionStoreModule.scala new file mode 100644 index 000000000..51d556077 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/StrongTiePredictionStoreModule.scala @@ -0,0 +1,39 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.app.Flag +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.UserId +import com.twitter.hermit.stp.thriftscala.STPResult +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.{Client => StratoClient} +import javax.inject.Named + +object StrongTiePredictionStoreModule extends TwitterModule { + + private val strongTiePredictionColumnPath: Flag[String] = flag[String]( + name = "crMixer.strongTiePredictionColumnPath", + default = "onboarding/userrecs/strong_tie_prediction_big", + help = "Strato column path for StrongTiePredictionStore" + ) + + @Provides + @Singleton + @Named(ModuleNames.StpStore) + def providesStrongTiePredictionStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[UserId, STPResult] = { + val strongTiePredictionStratoFetchableStore = StratoFetchableStore + .withUnitView[UserId, STPResult](stratoClient, strongTiePredictionColumnPath()) + + ObservedReadableStore( + strongTiePredictionStratoFetchableStore + )(statsReceiver.scope("strong_tie_prediction_big_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TripCandidateStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TripCandidateStoreModule.scala new file mode 100644 index 000000000..802d5c986 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TripCandidateStoreModule.scala @@ -0,0 +1,34 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.TripTweet +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.TripTweets +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.TripDomain +import javax.inject.Named + +object TripCandidateStoreModule extends TwitterModule { + private val stratoColumn = "trends/trip/tripTweetsDataflowProd" + + @Provides + @Named(ModuleNames.TripCandidateStore) + def providesSimClustersTripCandidateStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient + ): ReadableStore[TripDomain, Seq[TripTweet]] = { + val tripCandidateStratoFetchableStore = + StratoFetchableStore + .withUnitView[TripDomain, TripTweets](stratoClient, stratoColumn) + .mapValues(_.tweets) + + ObservedReadableStore( + tripCandidateStratoFetchableStore + )(statsReceiver.scope("simclusters_trip_candidate_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetInfoStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetInfoStoreModule.scala new file mode 100644 index 000000000..a3a794e8e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetInfoStoreModule.scala @@ -0,0 +1,205 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Module +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.contentrecommender.thriftscala.TweetInfo +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.frigate.common.store.health.TweetHealthModelStore +import com.twitter.frigate.common.store.health.TweetHealthModelStore.TweetHealthModelStoreConfig +import com.twitter.frigate.common.store.health.UserHealthModelStore +import com.twitter.frigate.thriftscala.TweetHealthScores +import com.twitter.frigate.thriftscala.UserAgathaScores +import com.twitter.hermit.store.common.DeciderableReadableStore +import com.twitter.hermit.store.common.ObservedCachedReadableStore +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.contentrecommender.store.TweetInfoStore +import com.twitter.contentrecommender.store.TweetyPieFieldsStore +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderKey +import com.twitter.frigate.data_pipeline.scalding.thriftscala.BlueVerifiedAnnotationsV2 +import com.twitter.recos.user_tweet_graph_plus.thriftscala.UserTweetGraphPlus +import com.twitter.recos.user_tweet_graph_plus.thriftscala.TweetEngagementScores +import com.twitter.relevance_platform.common.health_store.UserMediaRepresentationHealthStore +import com.twitter.relevance_platform.common.health_store.MagicRecsRealTimeAggregatesStore +import com.twitter.relevance_platform.thriftscala.MagicRecsRealTimeAggregatesScores +import com.twitter.relevance_platform.thriftscala.UserMediaRepresentationScores +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.tweetypie.thriftscala.TweetService +import com.twitter.util.Future +import com.twitter.util.JavaTimer +import com.twitter.util.Timer + +import javax.inject.Named + +object TweetInfoStoreModule extends TwitterModule { + implicit val timer: Timer = new JavaTimer(true) + override def modules: Seq[Module] = Seq(UnifiedCacheClient) + + @Provides + @Singleton + def providesTweetInfoStore( + statsReceiver: StatsReceiver, + serviceIdentifier: ServiceIdentifier, + stratoClient: StratoClient, + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + manhattanKVClientMtlsParams: ManhattanKVClientMtlsParams, + tweetyPieService: TweetService.MethodPerEndpoint, + userTweetGraphPlusService: UserTweetGraphPlus.MethodPerEndpoint, + @Named(ModuleNames.BlueVerifiedAnnotationStore) blueVerifiedAnnotationStore: ReadableStore[ + String, + BlueVerifiedAnnotationsV2 + ], + decider: CrMixerDecider + ): ReadableStore[TweetId, TweetInfo] = { + + val tweetEngagementScoreStore: ReadableStore[TweetId, TweetEngagementScores] = { + val underlyingStore = + ObservedReadableStore(new ReadableStore[TweetId, TweetEngagementScores] { + override def get( + k: TweetId + ): Future[Option[TweetEngagementScores]] = { + userTweetGraphPlusService.tweetEngagementScore(k).map { + Some(_) + } + } + })(statsReceiver.scope("UserTweetGraphTweetEngagementScoreStore")) + + DeciderableReadableStore( + underlyingStore, + decider.deciderGateBuilder.idGate( + DeciderKey.enableUtgRealTimeTweetEngagementScoreDeciderKey), + statsReceiver.scope("UserTweetGraphTweetEngagementScoreStore") + ) + + } + + val tweetHealthModelStore: ReadableStore[TweetId, TweetHealthScores] = { + val underlyingStore = TweetHealthModelStore.buildReadableStore( + stratoClient, + Some( + TweetHealthModelStoreConfig( + enablePBlock = true, + enableToxicity = true, + enablePSpammy = true, + enablePReported = true, + enableSpammyTweetContent = true, + enablePNegMultimodal = true, + )) + )(statsReceiver.scope("UnderlyingTweetHealthModelStore")) + + DeciderableReadableStore( + ObservedMemcachedReadableStore.fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 2.hours + )( + valueInjection = BinaryScalaCodec(TweetHealthScores), + statsReceiver = statsReceiver.scope("memCachedTweetHealthModelStore"), + keyToString = { k: TweetId => s"tHMS/$k" } + ), + decider.deciderGateBuilder.idGate(DeciderKey.enableHealthSignalsScoreDeciderKey), + statsReceiver.scope("TweetHealthModelStore") + ) // use s"tHMS/$k" instead of s"tweetHealthModelStore/$k" to differentiate from CR cache + } + + val userHealthModelStore: ReadableStore[UserId, UserAgathaScores] = { + val underlyingStore = UserHealthModelStore.buildReadableStore(stratoClient)( + statsReceiver.scope("UnderlyingUserHealthModelStore")) + DeciderableReadableStore( + ObservedMemcachedReadableStore.fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 18.hours + )( + valueInjection = BinaryScalaCodec(UserAgathaScores), + statsReceiver = statsReceiver.scope("memCachedUserHealthModelStore"), + keyToString = { k: UserId => s"uHMS/$k" } + ), + decider.deciderGateBuilder.idGate(DeciderKey.enableUserAgathaScoreDeciderKey), + statsReceiver.scope("UserHealthModelStore") + ) + } + + val userMediaRepresentationHealthStore: ReadableStore[UserId, UserMediaRepresentationScores] = { + val underlyingStore = + UserMediaRepresentationHealthStore.buildReadableStore( + manhattanKVClientMtlsParams, + statsReceiver.scope("UnderlyingUserMediaRepresentationHealthStore") + ) + DeciderableReadableStore( + ObservedMemcachedReadableStore.fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 12.hours + )( + valueInjection = BinaryScalaCodec(UserMediaRepresentationScores), + statsReceiver = statsReceiver.scope("memCacheUserMediaRepresentationHealthStore"), + keyToString = { k: UserId => s"uMRHS/$k" } + ), + decider.deciderGateBuilder.idGate(DeciderKey.enableUserMediaRepresentationStoreDeciderKey), + statsReceiver.scope("UserMediaRepresentationHealthStore") + ) + } + + val magicRecsRealTimeAggregatesStore: ReadableStore[ + TweetId, + MagicRecsRealTimeAggregatesScores + ] = { + val underlyingStore = + MagicRecsRealTimeAggregatesStore.buildReadableStore( + serviceIdentifier, + statsReceiver.scope("UnderlyingMagicRecsRealTimeAggregatesScores") + ) + DeciderableReadableStore( + underlyingStore, + decider.deciderGateBuilder.idGate(DeciderKey.enableMagicRecsRealTimeAggregatesStore), + statsReceiver.scope("MagicRecsRealTimeAggregatesStore") + ) + } + + val tweetInfoStore: ReadableStore[TweetId, TweetInfo] = { + val underlyingStore = TweetInfoStore( + TweetyPieFieldsStore.getStoreFromTweetyPie(tweetyPieService), + userMediaRepresentationHealthStore, + magicRecsRealTimeAggregatesStore, + tweetEngagementScoreStore, + blueVerifiedAnnotationStore + )(statsReceiver.scope("tweetInfoStore")) + + val memcachedStore = ObservedMemcachedReadableStore.fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 15.minutes, + // Hydrating tweetInfo is now a required step for all candidates, + // hence we needed to tune these thresholds. + asyncUpdate = serviceIdentifier.environment == "prod" + )( + valueInjection = BinaryScalaCodec(TweetInfo), + statsReceiver = statsReceiver.scope("memCachedTweetInfoStore"), + keyToString = { k: TweetId => s"tIS/$k" } + ) + + ObservedCachedReadableStore.from( + memcachedStore, + ttl = 15.minutes, + maxKeys = 8388607, // Check TweetInfo definition. size~92b. Around 736 MB + windowSize = 10000L, + cacheName = "tweet_info_cache", + maxMultiGetSize = 20 + )(statsReceiver.scope("inMemoryCachedTweetInfoStore")) + } + tweetInfoStore + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetRecentEngagedUserStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetRecentEngagedUserStoreModule.scala new file mode 100644 index 000000000..2e379e545 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetRecentEngagedUserStoreModule.scala @@ -0,0 +1,42 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.app.Flag +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.twistly.thriftscala.TweetRecentEngagedUsers + +object TweetRecentEngagedUserStoreModule extends TwitterModule { + + private val tweetRecentEngagedUsersStoreDefaultVersion = + 0 // DefaultVersion for tweetEngagedUsersStore, whose key = (tweetId, DefaultVersion) + private val tweetRecentEngagedUsersColumnPath: Flag[String] = flag[String]( + name = "crMixer.tweetRecentEngagedUsersColumnPath", + default = "recommendations/twistly/tweetRecentEngagedUsers", + help = "Strato column path for TweetRecentEngagedUsersStore" + ) + private type Version = Long + + @Provides + @Singleton + def providesTweetRecentEngagedUserStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[TweetId, TweetRecentEngagedUsers] = { + val tweetRecentEngagedUsersStratoFetchableStore = StratoFetchableStore + .withUnitView[(TweetId, Version), TweetRecentEngagedUsers]( + stratoClient, + tweetRecentEngagedUsersColumnPath()).composeKeyMapping[TweetId](tweetId => + (tweetId, tweetRecentEngagedUsersStoreDefaultVersion)) + + ObservedReadableStore( + tweetRecentEngagedUsersStratoFetchableStore + )(statsReceiver.scope("tweet_recent_engaged_users_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetRecommendationResultsStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetRecommendationResultsStoreModule.scala new file mode 100644 index 000000000..04c03eda6 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TweetRecommendationResultsStoreModule.scala @@ -0,0 +1,32 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.thriftscala.CrMixerTweetResponse +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.hermit.store.common.ReadableWritableStore +import com.twitter.hermit.store.common.ObservedReadableWritableMemcacheStore +import com.twitter.simclusters_v2.common.UserId +import javax.inject.Named + +object TweetRecommendationResultsStoreModule extends TwitterModule { + @Provides + @Singleton + def providesTweetRecommendationResultsStore( + @Named(ModuleNames.TweetRecommendationResultsCache) tweetRecommendationResultsCacheClient: MemcachedClient, + statsReceiver: StatsReceiver + ): ReadableWritableStore[UserId, CrMixerTweetResponse] = { + ObservedReadableWritableMemcacheStore.fromCacheClient( + cacheClient = tweetRecommendationResultsCacheClient, + ttl = 24.hours)( + valueInjection = BinaryScalaCodec(CrMixerTweetResponse), + statsReceiver = statsReceiver.scope("TweetRecommendationResultsMemcacheStore"), + keyToString = { k: UserId => k.toString } + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TwhinCollabFilterStratoStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TwhinCollabFilterStratoStoreModule.scala new file mode 100644 index 000000000..4275ad2a8 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TwhinCollabFilterStratoStoreModule.scala @@ -0,0 +1,67 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.inject.TwitterModule +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.cr_mixer.similarity_engine.TwhinCollabFilterSimilarityEngine.TwhinCollabFilterView +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.storehaus.ReadableStore +import javax.inject.Named + +object TwhinCollabFilterStratoStoreModule extends TwitterModule { + + val stratoColumnPath: String = "cuad/twhin/getCollabFilterTweetCandidatesProd.User" + + @Provides + @Singleton + @Named(ModuleNames.TwhinCollabFilterStratoStoreForFollow) + def providesTwhinCollabFilterStratoStoreForFollow( + stratoClient: StratoClient + ): ReadableStore[Long, Seq[TweetId]] = { + StratoFetchableStore.withView[Long, TwhinCollabFilterView, Seq[TweetId]]( + stratoClient, + column = stratoColumnPath, + view = TwhinCollabFilterView("follow_2022_03_10_c_500K") + ) + } + + @Provides + @Singleton + @Named(ModuleNames.TwhinCollabFilterStratoStoreForEngagement) + def providesTwhinCollabFilterStratoStoreForEngagement( + stratoClient: StratoClient + ): ReadableStore[Long, Seq[TweetId]] = { + StratoFetchableStore.withView[Long, TwhinCollabFilterView, Seq[TweetId]]( + stratoClient, + column = stratoColumnPath, + view = TwhinCollabFilterView("engagement_2022_04_10_c_500K")) + } + + @Provides + @Singleton + @Named(ModuleNames.TwhinMultiClusterStratoStoreForFollow) + def providesTwhinMultiClusterStratoStoreForFollow( + stratoClient: StratoClient + ): ReadableStore[Long, Seq[TweetId]] = { + StratoFetchableStore.withView[Long, TwhinCollabFilterView, Seq[TweetId]]( + stratoClient, + column = stratoColumnPath, + view = TwhinCollabFilterView("multiclusterFollow20220921") + ) + } + + @Provides + @Singleton + @Named(ModuleNames.TwhinMultiClusterStratoStoreForEngagement) + def providesTwhinMultiClusterStratoStoreForEngagement( + stratoClient: StratoClient + ): ReadableStore[Long, Seq[TweetId]] = { + StratoFetchableStore.withView[Long, TwhinCollabFilterView, Seq[TweetId]]( + stratoClient, + column = stratoColumnPath, + view = TwhinCollabFilterView("multiclusterEng20220921")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TwiceClustersMembersStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TwiceClustersMembersStoreModule.scala new file mode 100644 index 000000000..a15e2549a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/TwiceClustersMembersStoreModule.scala @@ -0,0 +1,42 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.app.Flag +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.simclusters_v2.thriftscala.OrderedClustersAndMembers +import javax.inject.Named + +object TwiceClustersMembersStoreModule extends TwitterModule { + + private val twiceClustersMembersColumnPath: Flag[String] = flag[String]( + name = "crMixer.twiceClustersMembersColumnPath", + default = + "recommendations/simclusters_v2/embeddings/TwiceClustersMembersLargestDimApeSimilarity", + help = "Strato column path for TweetRecentEngagedUsersStore" + ) + + @Provides + @Singleton + @Named(ModuleNames.TwiceClustersMembersStore) + def providesTweetRecentEngagedUserStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[UserId, OrderedClustersAndMembers] = { + val twiceClustersMembersStratoFetchableStore = StratoFetchableStore + .withUnitView[UserId, OrderedClustersAndMembers]( + stratoClient, + twiceClustersMembersColumnPath()) + + ObservedReadableStore( + twiceClustersMembersStratoFetchableStore + )(statsReceiver.scope("twice_clusters_members_largestDimApe_similarity_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UnifiedCacheClient.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UnifiedCacheClient.scala new file mode 100644 index 000000000..3b48f4c02 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UnifiedCacheClient.scala @@ -0,0 +1,83 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.app.Flag +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.memcached.Client +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storehaus_internal.memcache.MemcacheStore +import com.twitter.storehaus_internal.util.ClientName +import com.twitter.storehaus_internal.util.ZkEndPoint +import javax.inject.Named + +object UnifiedCacheClient extends TwitterModule { + + private val TIME_OUT = 20.milliseconds + + val crMixerUnifiedCacheDest: Flag[String] = flag[String]( + name = "crMixer.unifiedCacheDest", + default = "/s/cache/content_recommender_unified_v2", + help = "Wily path to Content Recommender unified cache" + ) + + val tweetRecommendationResultsCacheDest: Flag[String] = flag[String]( + name = "tweetRecommendationResults.CacheDest", + default = "/s/cache/tweet_recommendation_results", + help = "Wily path to CrMixer getTweetRecommendations() results cache" + ) + + val earlybirdTweetsCacheDest: Flag[String] = flag[String]( + name = "earlybirdTweets.CacheDest", + default = "/s/cache/crmixer_earlybird_tweets", + help = "Wily path to CrMixer Earlybird Recency Based Similarity Engine result cache" + ) + + @Provides + @Singleton + @Named(ModuleNames.UnifiedCache) + def provideUnifiedCacheClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver, + ): Client = + MemcacheStore.memcachedClient( + name = ClientName("memcache-content-recommender-unified"), + dest = ZkEndPoint(crMixerUnifiedCacheDest()), + statsReceiver = statsReceiver.scope("cache_client"), + serviceIdentifier = serviceIdentifier, + timeout = TIME_OUT + ) + + @Provides + @Singleton + @Named(ModuleNames.TweetRecommendationResultsCache) + def providesTweetRecommendationResultsCache( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver, + ): Client = + MemcacheStore.memcachedClient( + name = ClientName("memcache-tweet-recommendation-results"), + dest = ZkEndPoint(tweetRecommendationResultsCacheDest()), + statsReceiver = statsReceiver.scope("cache_client"), + serviceIdentifier = serviceIdentifier, + timeout = TIME_OUT + ) + + @Provides + @Singleton + @Named(ModuleNames.EarlybirdTweetsCache) + def providesEarlybirdTweetsCache( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver, + ): Client = + MemcacheStore.memcachedClient( + name = ClientName("memcache-crmixer-earlybird-tweets"), + dest = ZkEndPoint(earlybirdTweetsCacheDest()), + statsReceiver = statsReceiver.scope("cache_client"), + serviceIdentifier = serviceIdentifier, + timeout = TIME_OUT + ) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserSignalServiceColumnModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserSignalServiceColumnModule.scala new file mode 100644 index 000000000..b15ebe0fe --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserSignalServiceColumnModule.scala @@ -0,0 +1,30 @@ +package com.twitter.cr_mixer.module +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.usersignalservice.thriftscala.BatchSignalRequest +import com.twitter.usersignalservice.thriftscala.BatchSignalResponse +import javax.inject.Named + +object UserSignalServiceColumnModule extends TwitterModule { + private val UssColumnPath = "recommendations/user-signal-service/signals" + + @Provides + @Singleton + @Named(ModuleNames.UssStratoColumn) + def providesUserSignalServiceStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[BatchSignalRequest, BatchSignalResponse] = { + ObservedReadableStore( + StratoFetchableStore + .withUnitView[BatchSignalRequest, BatchSignalResponse](stratoClient, UssColumnPath))( + statsReceiver.scope("user_signal_service_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserSignalServiceStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserSignalServiceStoreModule.scala new file mode 100644 index 000000000..cc55f0e9a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserSignalServiceStoreModule.scala @@ -0,0 +1,37 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storehaus.ReadableStore +import com.twitter.strato.client.{Client => StratoClient} +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.source_signal.UssStore +import com.twitter.cr_mixer.source_signal.UssStore.Query +import com.twitter.frigate.common.store.strato.StratoFetchableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.usersignalservice.thriftscala.BatchSignalRequest +import com.twitter.usersignalservice.thriftscala.BatchSignalResponse +import com.twitter.usersignalservice.thriftscala.SignalType +import com.twitter.usersignalservice.thriftscala.{Signal => UssSignal} +import javax.inject.Named + +object UserSignalServiceStoreModule extends TwitterModule { + + private val UssColumnPath = "recommendations/user-signal-service/signals" + + @Provides + @Singleton + @Named(ModuleNames.UssStore) + def providesUserSignalServiceStore( + statsReceiver: StatsReceiver, + stratoClient: StratoClient, + ): ReadableStore[Query, Seq[(SignalType, Seq[UssSignal])]] = { + ObservedReadableStore( + UssStore( + StratoFetchableStore + .withUnitView[BatchSignalRequest, BatchSignalResponse](stratoClient, UssColumnPath), + statsReceiver))(statsReceiver.scope("user_signal_service_store")) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserStateStoreModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserStateStoreModule.scala new file mode 100644 index 000000000..6db2c38fd --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/UserStateStoreModule.scala @@ -0,0 +1,113 @@ +package com.twitter.cr_mixer.module + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.bijection.Bufferable +import com.twitter.bijection.Injection +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.UserId +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.manhattan.ManhattanRO +import com.twitter.storehaus_internal.manhattan.ManhattanROConfig +import com.twitter.storehaus_internal.util.HDFSPath +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.core_workflows.user_model.thriftscala.CondensedUserState +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderKey +import com.twitter.hermit.store.common.DeciderableReadableStore +import com.twitter.storehaus_internal.manhattan.Apollo +import com.twitter.storehaus_internal.util.ApplicationID +import com.twitter.storehaus_internal.util.DatasetName +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.JavaTimer +import com.twitter.util.Time +import com.twitter.util.TimeoutException +import com.twitter.util.Timer +import javax.inject.Named + +object UserStateStoreModule extends TwitterModule { + implicit val timer: Timer = new JavaTimer(true) + final val NewUserCreateDaysThreshold = 7 + final val DefaultUnknownUserStateValue = 100 + + // Convert CondensedUserState to UserState Enum + // If CondensedUserState is None, back fill by checking whether the user is new user + class UserStateStore( + userStateStore: ReadableStore[UserId, CondensedUserState], + timeout: Duration, + statsReceiver: StatsReceiver) + extends ReadableStore[UserId, UserState] { + override def get(userId: UserId): Future[Option[UserState]] = { + userStateStore + .get(userId).map(_.flatMap(_.userState)).map { + case Some(userState) => Some(userState) + case None => + val isNewUser = SnowflakeId.timeFromIdOpt(userId).exists { userCreateTime => + Time.now - userCreateTime < Duration.fromDays(NewUserCreateDaysThreshold) + } + if (isNewUser) Some(UserState.New) + else Some(UserState.EnumUnknownUserState(DefaultUnknownUserStateValue)) + + }.raiseWithin(timeout)(timer).rescue { + case _: TimeoutException => + statsReceiver.counter("TimeoutException").incr() + Future.None + } + } + } + + @Provides + @Singleton + def providesUserStateStore( + crMixerDecider: CrMixerDecider, + statsReceiver: StatsReceiver, + manhattanKVClientMtlsParams: ManhattanKVClientMtlsParams, + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + timeoutConfig: TimeoutConfig + ): ReadableStore[UserId, UserState] = { + + val underlyingStore = new UserStateStore( + ManhattanRO + .getReadableStoreWithMtls[UserId, CondensedUserState]( + ManhattanROConfig( + HDFSPath(""), + ApplicationID("cr_mixer_apollo"), + DatasetName("condensed_user_state"), + Apollo), + manhattanKVClientMtlsParams + )( + implicitly[Injection[Long, Array[Byte]]], + BinaryScalaCodec(CondensedUserState) + ), + timeoutConfig.userStateStoreTimeout, + statsReceiver.scope("UserStateStore") + ).mapValues(_.value) // Read the value of Enum so that we only caches the Int + + val memCachedStore = ObservedMemcachedReadableStore + .fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 24.hours, + )( + valueInjection = Bufferable.injectionOf[Int], // Cache Value is Enum Value for UserState + statsReceiver = statsReceiver.scope("memCachedUserStateStore"), + keyToString = { k: UserId => s"uState/$k" } + ).mapValues(value => UserState.getOrUnknown(value)) + + DeciderableReadableStore( + memCachedStore, + crMixerDecider.deciderGateBuilder.idGate(DeciderKey.enableUserStateStoreDeciderKey), + statsReceiver.scope("UserStateStore") + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/ABDeciderModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/ABDeciderModule.scala new file mode 100644 index 000000000..9d981f4f3 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/ABDeciderModule.scala @@ -0,0 +1,33 @@ +package com.twitter.cr_mixer.module.core + +import com.google.inject.Provides +import com.google.inject.name.Named +import com.twitter.abdecider.ABDeciderFactory +import com.twitter.abdecider.LoggingABDecider +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.inject.TwitterModule +import com.twitter.inject.annotations.Flag +import com.twitter.logging.Logger +import javax.inject.Singleton + +object ABDeciderModule extends TwitterModule { + + flag( + name = "abdecider.path", + default = "/usr/local/config/abdecider/abdecider.yml", + help = "path to the abdecider Yml file location" + ) + + @Provides + @Singleton + def provideABDecider( + @Flag("abdecider.path") abDeciderYmlPath: String, + @Named(ModuleNames.AbDeciderLogger) scribeLogger: Logger + ): LoggingABDecider = { + ABDeciderFactory( + abDeciderYmlPath = abDeciderYmlPath, + scribeLogger = Some(scribeLogger), + environment = Some("production") + ).buildWithLogging() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/CrMixerFlagModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/CrMixerFlagModule.scala new file mode 100644 index 000000000..9e7b9938a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/CrMixerFlagModule.scala @@ -0,0 +1,20 @@ +package com.twitter.cr_mixer.module.core + +import com.twitter.inject.TwitterModule + +object CrMixerFlagName { + val SERVICE_FLAG = "cr_mixer.flag" + val DarkTrafficFilterDeciderKey = "thrift.dark.traffic.filter.decider_key" +} + +object CrMixerFlagModule extends TwitterModule { + import CrMixerFlagName._ + + flag[Boolean](name = SERVICE_FLAG, default = false, help = "This is a CR Mixer flag") + + flag[String]( + name = DarkTrafficFilterDeciderKey, + default = "dark_traffic_filter", + help = "Dark traffic filter decider key" + ) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/CrMixerLoggingABDeciderModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/CrMixerLoggingABDeciderModule.scala new file mode 100644 index 000000000..6b674495f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/CrMixerLoggingABDeciderModule.scala @@ -0,0 +1,20 @@ +package com.twitter.cr_mixer.module.core + +import com.google.inject.Provides +import com.twitter.abdecider.LoggingABDecider +import com.twitter.cr_mixer.featureswitch.CrMixerLoggingABDecider +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import javax.inject.Singleton + +object CrMixerLoggingABDeciderModule extends TwitterModule { + + @Provides + @Singleton + def provideABDecider( + loggingABDecider: LoggingABDecider, + statsReceiver: StatsReceiver + ): CrMixerLoggingABDecider = { + CrMixerLoggingABDecider(loggingABDecider, statsReceiver) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/FeatureContextBuilderModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/FeatureContextBuilderModule.scala new file mode 100644 index 000000000..18d262c54 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/FeatureContextBuilderModule.scala @@ -0,0 +1,16 @@ +package com.twitter.cr_mixer.module.core + +import com.google.inject.Provides +import com.twitter.discovery.common.configapi.FeatureContextBuilder +import com.twitter.featureswitches.v2.FeatureSwitches +import com.twitter.inject.TwitterModule +import javax.inject.Singleton + +object FeatureContextBuilderModule extends TwitterModule { + + @Provides + @Singleton + def providesFeatureContextBuilder(featureSwitches: FeatureSwitches): FeatureContextBuilder = { + FeatureContextBuilder(featureSwitches) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/FeatureSwitchesModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/FeatureSwitchesModule.scala new file mode 100644 index 000000000..a87d1f54b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/FeatureSwitchesModule.scala @@ -0,0 +1,74 @@ +package com.twitter.cr_mixer.module.core + +import com.google.inject.Provides +import com.twitter.cr_mixer.featureswitch.CrMixerLoggingABDecider +import com.twitter.featureswitches.v2.FeatureSwitches +import com.twitter.featureswitches.v2.builder.FeatureSwitchesBuilder +import com.twitter.featureswitches.v2.experimentation.NullBucketImpressor +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.inject.annotations.Flag +import com.twitter.util.Duration +import javax.inject.Singleton + +object FeatureSwitchesModule extends TwitterModule { + + flag( + name = "featureswitches.path", + default = "/features/cr-mixer/main", + help = "path to the featureswitch configuration directory" + ) + flag( + "use_config_repo_mirror.bool", + false, + "If true, read config from a different directory, to facilitate testing.") + + val DefaultFastRefresh: Boolean = false + val AddServiceDetailsFromAurora: Boolean = true + val ImpressExperiments: Boolean = true + + @Provides + @Singleton + def providesFeatureSwitches( + @Flag("featureswitches.path") featureSwitchDirectory: String, + @Flag("use_config_repo_mirror.bool") useConfigRepoMirrorFlag: Boolean, + abDecider: CrMixerLoggingABDecider, + statsReceiver: StatsReceiver + ): FeatureSwitches = { + val configRepoAbsPath = + getConfigRepoAbsPath(useConfigRepoMirrorFlag) + val fastRefresh = + shouldFastRefresh(useConfigRepoMirrorFlag) + + val featureSwitches = FeatureSwitchesBuilder() + .abDecider(abDecider) + .statsReceiver(statsReceiver.scope("featureswitches-v2")) + .configRepoAbsPath(configRepoAbsPath) + .featuresDirectory(featureSwitchDirectory) + .limitToReferencedExperiments(shouldLimit = true) + .experimentImpressionStatsEnabled(true) + + if (!ImpressExperiments) featureSwitches.experimentBucketImpressor(NullBucketImpressor) + if (AddServiceDetailsFromAurora) featureSwitches.serviceDetailsFromAurora() + if (fastRefresh) featureSwitches.refreshPeriod(Duration.fromSeconds(10)) + + featureSwitches.build() + } + + private def getConfigRepoAbsPath( + useConfigRepoMirrorFlag: Boolean + ): String = { + if (useConfigRepoMirrorFlag) + "config_repo_mirror/" + else "/usr/local/config" + } + + private def shouldFastRefresh( + useConfigRepoMirrorFlag: Boolean + ): Boolean = { + if (useConfigRepoMirrorFlag) + true + else DefaultFastRefresh + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/KafkaProducerModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/KafkaProducerModule.scala new file mode 100644 index 000000000..770ad1e7e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/KafkaProducerModule.scala @@ -0,0 +1,70 @@ +package com.twitter.cr_mixer.module.core + +import com.google.inject.Provides +import com.twitter.cr_mixer.thriftscala.GetTweetsRecommendationsScribe +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finatra.kafka.producers.FinagleKafkaProducerBuilder +import com.twitter.finatra.kafka.producers.KafkaProducerBase +import com.twitter.finatra.kafka.producers.NullKafkaProducer +import com.twitter.finatra.kafka.serde.ScalaSerdes +import com.twitter.inject.TwitterModule +import javax.inject.Singleton +import org.apache.kafka.clients.CommonClientConfigs +import org.apache.kafka.common.config.SaslConfigs +import org.apache.kafka.common.config.SslConfigs +import org.apache.kafka.common.record.CompressionType +import org.apache.kafka.common.security.auth.SecurityProtocol +import org.apache.kafka.common.serialization.Serdes + +object KafkaProducerModule extends TwitterModule { + + @Provides + @Singleton + def provideTweetRecsLoggerFactory( + serviceIdentifier: ServiceIdentifier, + ): KafkaProducerBase[String, GetTweetsRecommendationsScribe] = { + KafkaProducerFactory.getKafkaProducer(serviceIdentifier.environment) + } +} + +object KafkaProducerFactory { + private val jaasConfig = + """com.sun.security.auth.module.Krb5LoginModule + |required + |principal="cr-mixer@TWITTER.BIZ" + |debug=true + |useKeyTab=true + |storeKey=true + |keyTab="/var/lib/tss/keys/fluffy/keytabs/client/cr-mixer.keytab" + |doNotPrompt=true; + """.stripMargin.replaceAll("\n", " ") + + private val trustStoreLocation = "/etc/tw_truststore/messaging/kafka/client.truststore.jks" + + def getKafkaProducer( + environment: String + ): KafkaProducerBase[String, GetTweetsRecommendationsScribe] = { + if (environment == "prod") { + FinagleKafkaProducerBuilder() + .dest("/s/kafka/recommendations:kafka-tls") + // kerberos params + .withConfig(SaslConfigs.SASL_JAAS_CONFIG, jaasConfig) + .withConfig( + CommonClientConfigs.SECURITY_PROTOCOL_CONFIG, + SecurityProtocol.SASL_SSL.toString) + .withConfig(SslConfigs.SSL_TRUSTSTORE_LOCATION_CONFIG, trustStoreLocation) + .withConfig(SaslConfigs.SASL_MECHANISM, SaslConfigs.GSSAPI_MECHANISM) + .withConfig(SaslConfigs.SASL_KERBEROS_SERVICE_NAME, "kafka") + .withConfig(SaslConfigs.SASL_KERBEROS_SERVER_NAME, "kafka") + // Kafka params + .keySerializer(Serdes.String.serializer) + .valueSerializer(ScalaSerdes.CompactThrift[GetTweetsRecommendationsScribe].serializer()) + .clientId("cr-mixer") + .enableIdempotence(true) + .compressionType(CompressionType.LZ4) + .build() + } else { + new NullKafkaProducer[String, GetTweetsRecommendationsScribe] + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/LoggerFactoryModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/LoggerFactoryModule.scala new file mode 100644 index 000000000..877ed4bb2 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/LoggerFactoryModule.scala @@ -0,0 +1,155 @@ +package com.twitter.cr_mixer.module.core + +import com.google.inject.Provides +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.scribe.ScribeCategories +import com.twitter.cr_mixer.scribe.ScribeCategory +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.logging.BareFormatter +import com.twitter.logging.Level +import com.twitter.logging.Logger +import com.twitter.logging.NullHandler +import com.twitter.logging.QueueingHandler +import com.twitter.logging.ScribeHandler +import com.twitter.logging.{LoggerFactory => TwitterLoggerFactory} +import javax.inject.Named +import javax.inject.Singleton + +object LoggerFactoryModule extends TwitterModule { + + private val DefaultQueueSize = 10000 + + @Provides + @Singleton + @Named(ModuleNames.AbDeciderLogger) + def provideAbDeciderLogger( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Logger = { + buildLoggerFactory( + ScribeCategories.AbDecider, + serviceIdentifier.environment, + statsReceiver.scope("ScribeLogger")) + .apply() + } + + @Provides + @Singleton + @Named(ModuleNames.TopLevelApiDdgMetricsLogger) + def provideTopLevelApiDdgMetricsLogger( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Logger = { + buildLoggerFactory( + ScribeCategories.TopLevelApiDdgMetrics, + serviceIdentifier.environment, + statsReceiver.scope("ScribeLogger")) + .apply() + } + + @Provides + @Singleton + @Named(ModuleNames.TweetRecsLogger) + def provideTweetRecsLogger( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Logger = { + buildLoggerFactory( + ScribeCategories.TweetsRecs, + serviceIdentifier.environment, + statsReceiver.scope("ScribeLogger")) + .apply() + } + + @Provides + @Singleton + @Named(ModuleNames.BlueVerifiedTweetRecsLogger) + def provideVITTweetRecsLogger( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Logger = { + buildLoggerFactory( + ScribeCategories.VITTweetsRecs, + serviceIdentifier.environment, + statsReceiver.scope("ScribeLogger")) + .apply() + } + + @Provides + @Singleton + @Named(ModuleNames.RelatedTweetsLogger) + def provideRelatedTweetsLogger( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Logger = { + buildLoggerFactory( + ScribeCategories.RelatedTweets, + serviceIdentifier.environment, + statsReceiver.scope("ScribeLogger")) + .apply() + } + + @Provides + @Singleton + @Named(ModuleNames.UtegTweetsLogger) + def provideUtegTweetsLogger( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Logger = { + buildLoggerFactory( + ScribeCategories.UtegTweets, + serviceIdentifier.environment, + statsReceiver.scope("ScribeLogger")) + .apply() + } + + @Provides + @Singleton + @Named(ModuleNames.AdsRecommendationsLogger) + def provideAdsRecommendationsLogger( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Logger = { + buildLoggerFactory( + ScribeCategories.AdsRecommendations, + serviceIdentifier.environment, + statsReceiver.scope("ScribeLogger")) + .apply() + } + + private def buildLoggerFactory( + category: ScribeCategory, + environment: String, + statsReceiver: StatsReceiver + ): TwitterLoggerFactory = { + environment match { + case "prod" => + TwitterLoggerFactory( + node = category.getProdLoggerFactoryNode, + level = Some(Level.INFO), + useParents = false, + handlers = List( + QueueingHandler( + maxQueueSize = DefaultQueueSize, + handler = ScribeHandler( + category = category.scribeCategory, + formatter = BareFormatter, + statsReceiver = statsReceiver.scope(category.getProdLoggerFactoryNode) + ) + ) + ) + ) + case _ => + TwitterLoggerFactory( + node = category.getStagingLoggerFactoryNode, + level = Some(Level.DEBUG), + useParents = false, + handlers = List( + { () => NullHandler } + ) + ) + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/MemoizingStatsReceiverModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/MemoizingStatsReceiverModule.scala new file mode 100644 index 000000000..ee94cf166 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/MemoizingStatsReceiverModule.scala @@ -0,0 +1,12 @@ +package com.twitter.cr_mixer.module.core + +import com.twitter.finagle.stats.LoadedStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.servo.util.MemoizingStatsReceiver + +object MemoizingStatsReceiverModule extends TwitterModule { + override def configure(): Unit = { + bind[StatsReceiver].toInstance(new MemoizingStatsReceiver(LoadedStatsReceiver)) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/TimeoutConfigModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/TimeoutConfigModule.scala new file mode 100644 index 000000000..1b6200812 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/core/TimeoutConfigModule.scala @@ -0,0 +1,104 @@ +package com.twitter.cr_mixer.module.core + +import com.twitter.inject.TwitterModule +import com.google.inject.Provides +import javax.inject.Singleton +import com.twitter.util.Duration +import com.twitter.app.Flag +import com.twitter.cr_mixer.config.TimeoutConfig + +/** + * All timeout settings in CrMixer. + * Timeout numbers are defined in source/cr-mixer/server/config/deploy.aurora + */ +object TimeoutConfigModule extends TwitterModule { + + /** + * Flag names for client timeout + * These are used in modules extending ThriftMethodBuilderClientModule + * which cannot accept injection of TimeoutConfig + */ + val EarlybirdClientTimeoutFlagName = "earlybird.client.timeout" + val FrsClientTimeoutFlagName = "frsSignalFetch.client.timeout" + val QigRankerClientTimeoutFlagName = "qigRanker.client.timeout" + val TweetypieClientTimeoutFlagName = "tweetypie.client.timeout" + val UserTweetGraphClientTimeoutFlagName = "userTweetGraph.client.timeout" + val UserTweetGraphPlusClientTimeoutFlagName = "userTweetGraphPlus.client.timeout" + val UserAdGraphClientTimeoutFlagName = "userAdGraph.client.timeout" + val UserVideoGraphClientTimeoutFlagName = "userVideoGraph.client.timeout" + val UtegClientTimeoutFlagName = "uteg.client.timeout" + val NaviRequestTimeoutFlagName = "navi.client.request.timeout" + + /** + * Flags for timeouts + * These are defined and initialized only in this file + */ + // timeout for the service + private val serviceTimeout: Flag[Duration] = + flag("service.timeout", "service total timeout") + + // timeout for signal fetch + private val signalFetchTimeout: Flag[Duration] = + flag[Duration]("signalFetch.timeout", "signal fetch timeout") + + // timeout for similarity engine + private val similarityEngineTimeout: Flag[Duration] = + flag[Duration]("similarityEngine.timeout", "similarity engine timeout") + private val annServiceClientTimeout: Flag[Duration] = + flag[Duration]("annService.client.timeout", "annQueryService client timeout") + + // timeout for user affinities fetcher + private val userStateUnderlyingStoreTimeout: Flag[Duration] = + flag[Duration]("userStateUnderlyingStore.timeout", "user state underlying store timeout") + + private val userStateStoreTimeout: Flag[Duration] = + flag[Duration]("userStateStore.timeout", "user state store timeout") + + private val utegSimilarityEngineTimeout: Flag[Duration] = + flag[Duration]("uteg.similarityEngine.timeout", "uteg similarity engine timeout") + + private val earlybirdServerTimeout: Flag[Duration] = + flag[Duration]("earlybird.server.timeout", "earlybird server timeout") + + private val earlybirdSimilarityEngineTimeout: Flag[Duration] = + flag[Duration]("earlybird.similarityEngine.timeout", "Earlybird similarity engine timeout") + + private val frsBasedTweetEndpointTimeout: Flag[Duration] = + flag[Duration]( + "frsBasedTweet.endpoint.timeout", + "frsBasedTweet endpoint timeout" + ) + + private val topicTweetEndpointTimeout: Flag[Duration] = + flag[Duration]( + "topicTweet.endpoint.timeout", + "topicTweet endpoint timeout" + ) + + // timeout for Navi client + private val naviRequestTimeout: Flag[Duration] = + flag[Duration]( + NaviRequestTimeoutFlagName, + Duration.fromMilliseconds(2000), + "Request timeout for a single RPC Call", + ) + + @Provides + @Singleton + def provideTimeoutBudget(): TimeoutConfig = + TimeoutConfig( + serviceTimeout = serviceTimeout(), + signalFetchTimeout = signalFetchTimeout(), + similarityEngineTimeout = similarityEngineTimeout(), + annServiceClientTimeout = annServiceClientTimeout(), + utegSimilarityEngineTimeout = utegSimilarityEngineTimeout(), + userStateUnderlyingStoreTimeout = userStateUnderlyingStoreTimeout(), + userStateStoreTimeout = userStateStoreTimeout(), + earlybirdServerTimeout = earlybirdServerTimeout(), + earlybirdSimilarityEngineTimeout = earlybirdSimilarityEngineTimeout(), + frsBasedTweetEndpointTimeout = frsBasedTweetEndpointTimeout(), + topicTweetEndpointTimeout = topicTweetEndpointTimeout(), + naviRequestTimeout = naviRequestTimeout() + ) + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/grpc_client/NaviGRPCClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/grpc_client/NaviGRPCClientModule.scala new file mode 100644 index 000000000..418f44747 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/grpc_client/NaviGRPCClientModule.scala @@ -0,0 +1,90 @@ +package com.twitter.cr_mixer.module.grpc_client + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.finagle.Http +import com.twitter.finagle.grpc.FinagleChannelBuilder +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient.MtlsStackClientSyntax +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.util.Duration +import io.grpc.ManagedChannel +import javax.inject.Named +import javax.inject.Singleton + +object NaviGRPCClientModule extends TwitterModule { + + val maxRetryAttempts = 3 + + @Provides + @Singleton + @Named(ModuleNames.HomeNaviGRPCClient) + def providesHomeNaviGRPCClient( + serviceIdentifier: ServiceIdentifier, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): ManagedChannel = { + val label = "navi-wals-recommended-tweets-home-client" + val dest = "/s/ads-prediction/navi-wals-recommended-tweets-home" + buildClient(serviceIdentifier, timeoutConfig, statsReceiver, dest, label) + } + + @Provides + @Singleton + @Named(ModuleNames.AdsFavedNaviGRPCClient) + def providesAdsFavedNaviGRPCClient( + serviceIdentifier: ServiceIdentifier, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): ManagedChannel = { + val label = "navi-wals-ads-faved-tweets" + val dest = "/s/ads-prediction/navi-wals-ads-faved-tweets" + buildClient(serviceIdentifier, timeoutConfig, statsReceiver, dest, label) + } + + @Provides + @Singleton + @Named(ModuleNames.AdsMonetizableNaviGRPCClient) + def providesAdsMonetizableNaviGRPCClient( + serviceIdentifier: ServiceIdentifier, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): ManagedChannel = { + val label = "navi-wals-ads-monetizable-tweets" + val dest = "/s/ads-prediction/navi-wals-ads-monetizable-tweets" + buildClient(serviceIdentifier, timeoutConfig, statsReceiver, dest, label) + } + + private def buildClient( + serviceIdentifier: ServiceIdentifier, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + dest: String, + label: String + ): ManagedChannel = { + + val stats = statsReceiver.scope("clnt").scope(label) + + val client = Http.client + .withLabel(label) + .withMutualTls(serviceIdentifier) + .withRequestTimeout(timeoutConfig.naviRequestTimeout) + .withTransport.connectTimeout(Duration.fromMilliseconds(10000)) + .withSession.acquisitionTimeout(Duration.fromMilliseconds(20000)) + .withStatsReceiver(stats) + .withHttpStats + + FinagleChannelBuilder + .forTarget(dest) + .overrideAuthority("rustserving") + .maxRetryAttempts(maxRetryAttempts) + .enableRetryForStatus(io.grpc.Status.RESOURCE_EXHAUSTED) + .enableRetryForStatus(io.grpc.Status.UNKNOWN) + .enableUnsafeFullyBufferingMode() + .httpClient(client) + .build() + + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/CertoTopicTweetSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/CertoTopicTweetSimilarityEngineModule.scala new file mode 100644 index 000000000..6c82329b0 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/CertoTopicTweetSimilarityEngineModule.scala @@ -0,0 +1,57 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TopicTweetWithScore +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.CertoTopicTweetSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.CertoTopicTweetSimilarityEngine.Query +import com.twitter.cr_mixer.similarity_engine.EngineQuery +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.thriftscala.TopicId +import com.twitter.storehaus.ReadableStore +import com.twitter.topic_recos.thriftscala.TweetWithScores +import javax.inject.Named +import javax.inject.Singleton + +object CertoTopicTweetSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.CertoTopicTweetSimilarityEngine) + def providesCertoTopicTweetSimilarityEngine( + @Named(ModuleNames.CertoStratoStoreName) certoStratoStore: ReadableStore[ + TopicId, + Seq[TweetWithScores] + ], + timeoutConfig: TimeoutConfig, + decider: CrMixerDecider, + statsReceiver: StatsReceiver + ): StandardSimilarityEngine[ + EngineQuery[Query], + TopicTweetWithScore + ] = { + new StandardSimilarityEngine[EngineQuery[Query], TopicTweetWithScore]( + implementingStore = CertoTopicTweetSimilarityEngine(certoStratoStore, statsReceiver), + identifier = SimilarityEngineType.CertoTopicTweet, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.topicTweetEndpointTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableTopicTweetTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ) + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerBasedWalsSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerBasedWalsSimilarityEngineModule.scala new file mode 100644 index 000000000..e09f8b639 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerBasedWalsSimilarityEngineModule.scala @@ -0,0 +1,54 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.similarity_engine.ConsumerBasedWalsSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import io.grpc.ManagedChannel +import javax.inject.Named + +object ConsumerBasedWalsSimilarityEngineModule extends TwitterModule { + @Provides + @Named(ModuleNames.ConsumerBasedWalsSimilarityEngine) + def providesConsumerBasedWalsSimilarityEngine( + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + @Named(ModuleNames.HomeNaviGRPCClient) homeNaviGRPCClient: ManagedChannel, + @Named(ModuleNames.AdsFavedNaviGRPCClient) adsFavedNaviGRPCClient: ManagedChannel, + @Named(ModuleNames.AdsMonetizableNaviGRPCClient) adsMonetizableNaviGRPCClient: ManagedChannel, + ): StandardSimilarityEngine[ + ConsumerBasedWalsSimilarityEngine.Query, + TweetWithScore + ] = { + + val underlyingStore = new ConsumerBasedWalsSimilarityEngine( + homeNaviGRPCClient, + adsFavedNaviGRPCClient, + adsMonetizableNaviGRPCClient, + statsReceiver + ) + + new StandardSimilarityEngine[ + ConsumerBasedWalsSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = underlyingStore, + identifier = SimilarityEngineType.ConsumerBasedWalsANN, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTripSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTripSimilarityEngineModule.scala new file mode 100644 index 000000000..8d209798b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTripSimilarityEngineModule.scala @@ -0,0 +1,60 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TripTweetWithScore +import com.twitter.cr_mixer.similarity_engine.ConsumerEmbeddingBasedTripSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TripEngineQuery +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.common.SimClustersEmbedding +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.TripTweet +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.TripDomain +import javax.inject.Named + +object ConsumerEmbeddingBasedTripSimilarityEngineModule extends TwitterModule { + @Provides + @Named(ModuleNames.ConsumerEmbeddingBasedTripSimilarityEngine) + def providesConsumerEmbeddingBasedTripSimilarityEngineModule( + @Named(ModuleNames.RmsUserLogFavInterestedInEmbeddingStore) + userLogFavInterestedInEmbeddingStore: ReadableStore[UserId, SimClustersEmbedding], + @Named(ModuleNames.RmsUserFollowInterestedInEmbeddingStore) + userFollowInterestedInEmbeddingStore: ReadableStore[UserId, SimClustersEmbedding], + @Named(ModuleNames.TripCandidateStore) + tripCandidateStore: ReadableStore[TripDomain, Seq[TripTweet]], + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): StandardSimilarityEngine[TripEngineQuery, TripTweetWithScore] = { + val underlyingStore = ObservedReadableStore( + ConsumerEmbeddingBasedTripSimilarityEngine( + embeddingStoreLookUpMap = Map( + ModelConfig.ConsumerLogFavBasedInterestedInEmbedding -> userLogFavInterestedInEmbeddingStore, + ModelConfig.ConsumerFollowBasedInterestedInEmbedding -> userFollowInterestedInEmbeddingStore, + ), + tripCandidateSource = tripCandidateStore, + statsReceiver + ))(statsReceiver.scope("TripSimilarityEngine")) + + new StandardSimilarityEngine[TripEngineQuery, TripTweetWithScore]( + implementingStore = underlyingStore, + identifier = SimilarityEngineType.ExploreTripOfflineSimClustersTweets, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTwHINSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTwHINSimilarityEngineModule.scala new file mode 100644 index 000000000..289d052b4 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTwHINSimilarityEngineModule.scala @@ -0,0 +1,58 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.cr_mixer.module.EmbeddingStoreModule +import com.twitter.cr_mixer.module.thrift_client.AnnQueryServiceClientModule +import com.twitter.cr_mixer.similarity_engine.HnswANNSimilarityEngine +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import com.twitter.ml.api.{thriftscala => api} +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType + +object ConsumerEmbeddingBasedTwHINSimilarityEngineModule extends TwitterModule { + @Provides + @Named(ModuleNames.ConsumerEmbeddingBasedTwHINANNSimilarityEngine) + def providesConsumerEmbeddingBasedTwHINANNSimilarityEngine( + // MH stores + @Named(EmbeddingStoreModule.ConsumerBasedTwHINEmbeddingRegularUpdateMhStoreName) + consumerBasedTwHINEmbeddingRegularUpdateMhStore: ReadableStore[InternalId, api.Embedding], + @Named(EmbeddingStoreModule.DebuggerDemoUserEmbeddingMhStoreName) + debuggerDemoUserEmbeddingMhStore: ReadableStore[InternalId, api.Embedding], + @Named(AnnQueryServiceClientModule.TwHINRegularUpdateAnnServiceClientName) + twHINRegularUpdateAnnService: AnnQueryService.MethodPerEndpoint, + @Named(AnnQueryServiceClientModule.DebuggerDemoAnnServiceClientName) + debuggerDemoAnnService: AnnQueryService.MethodPerEndpoint, + // Other configs + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver + ): HnswANNSimilarityEngine = { + new HnswANNSimilarityEngine( + embeddingStoreLookUpMap = Map( + ModelConfig.ConsumerBasedTwHINRegularUpdateAll20221024 -> consumerBasedTwHINEmbeddingRegularUpdateMhStore, + ModelConfig.DebuggerDemo -> debuggerDemoUserEmbeddingMhStore, + ), + annServiceLookUpMap = Map( + ModelConfig.ConsumerBasedTwHINRegularUpdateAll20221024 -> twHINRegularUpdateAnnService, + ModelConfig.DebuggerDemo -> debuggerDemoAnnService, + ), + globalStats = statsReceiver, + identifier = SimilarityEngineType.ConsumerEmbeddingBasedTwHINANN, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTwoTowerSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTwoTowerSimilarityEngineModule.scala new file mode 100644 index 000000000..704093e36 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumerEmbeddingBasedTwoTowerSimilarityEngineModule.scala @@ -0,0 +1,51 @@ +package com.twitter.cr_mixer.module +package similarity_engine + +import com.google.inject.Provides +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.cr_mixer.module.EmbeddingStoreModule +import com.twitter.cr_mixer.module.thrift_client.AnnQueryServiceClientModule +import com.twitter.cr_mixer.similarity_engine.HnswANNSimilarityEngine +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import com.twitter.ml.api.{thriftscala => api} +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType + +object ConsumerEmbeddingBasedTwoTowerSimilarityEngineModule extends TwitterModule { + @Provides + @Named(ModuleNames.ConsumerEmbeddingBasedTwoTowerANNSimilarityEngine) + def providesConsumerEmbeddingBasedTwoTowerANNSimilarityEngine( + @Named(EmbeddingStoreModule.TwoTowerFavConsumerEmbeddingMhStoreName) + twoTowerFavConsumerEmbeddingMhStore: ReadableStore[InternalId, api.Embedding], + @Named(AnnQueryServiceClientModule.TwoTowerFavAnnServiceClientName) + twoTowerFavAnnService: AnnQueryService.MethodPerEndpoint, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver + ): HnswANNSimilarityEngine = { + new HnswANNSimilarityEngine( + embeddingStoreLookUpMap = Map( + ModelConfig.TwoTowerFavALL20220808 -> twoTowerFavConsumerEmbeddingMhStore, + ), + annServiceLookUpMap = Map( + ModelConfig.TwoTowerFavALL20220808 -> twoTowerFavAnnService, + ), + globalStats = statsReceiver, + identifier = SimilarityEngineType.ConsumerEmbeddingBasedTwoTowerANN, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumersBasedUserAdGraphSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumersBasedUserAdGraphSimilarityEngineModule.scala new file mode 100644 index 000000000..e66a48a87 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumersBasedUserAdGraphSimilarityEngineModule.scala @@ -0,0 +1,61 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.ConsumersBasedUserAdGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_ad_graph.thriftscala.ConsumersBasedRelatedAdRequest +import com.twitter.recos.user_ad_graph.thriftscala.RelatedAdResponse +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import javax.inject.Singleton + +object ConsumersBasedUserAdGraphSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ConsumersBasedUserAdGraphSimilarityEngine) + def providesConsumersBasedUserAdGraphSimilarityEngine( + @Named(ModuleNames.ConsumerBasedUserAdGraphStore) + consumersBasedUserAdGraphStore: ReadableStore[ + ConsumersBasedRelatedAdRequest, + RelatedAdResponse + ], + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + ConsumersBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ] = { + + new StandardSimilarityEngine[ + ConsumersBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = + ConsumersBasedUserAdGraphSimilarityEngine(consumersBasedUserAdGraphStore, statsReceiver), + identifier = SimilarityEngineType.ConsumersBasedUserTweetGraph, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableUserTweetGraphTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ), + memCacheConfig = None + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumersBasedUserVideoGraphSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumersBasedUserVideoGraphSimilarityEngineModule.scala new file mode 100644 index 000000000..977a90f25 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ConsumersBasedUserVideoGraphSimilarityEngineModule.scala @@ -0,0 +1,62 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.ConsumersBasedUserVideoGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_video_graph.thriftscala.ConsumersBasedRelatedTweetRequest +import com.twitter.recos.user_video_graph.thriftscala.RelatedTweetResponse +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import javax.inject.Singleton + +object ConsumersBasedUserVideoGraphSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ConsumersBasedUserVideoGraphSimilarityEngine) + def providesConsumersBasedUserVideoGraphSimilarityEngine( + @Named(ModuleNames.ConsumerBasedUserVideoGraphStore) + consumersBasedUserVideoGraphStore: ReadableStore[ + ConsumersBasedRelatedTweetRequest, + RelatedTweetResponse + ], + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + ConsumersBasedUserVideoGraphSimilarityEngine.Query, + TweetWithScore + ] = { + + new StandardSimilarityEngine[ + ConsumersBasedUserVideoGraphSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = ConsumersBasedUserVideoGraphSimilarityEngine( + consumersBasedUserVideoGraphStore, + statsReceiver), + identifier = SimilarityEngineType.ConsumersBasedUserVideoGraph, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableUserVideoGraphTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ), + memCacheConfig = None + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/DiffusionBasedSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/DiffusionBasedSimilarityEngineModule.scala new file mode 100644 index 000000000..f48521085 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/DiffusionBasedSimilarityEngineModule.scala @@ -0,0 +1,52 @@ +package com.twitter.cr_mixer.module +package similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.simclusters_v2.thriftscala.TweetsWithScore +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.similarity_engine.DiffusionBasedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.DiffusionBasedSimilarityEngine.Query +import com.twitter.cr_mixer.similarity_engine.LookupSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import javax.inject.Singleton + +object DiffusionBasedSimilarityEngineModule extends TwitterModule { + @Provides + @Singleton + @Named(ModuleNames.DiffusionBasedSimilarityEngine) + def providesDiffusionBasedSimilarityEngineModule( + @Named(ModuleNames.RetweetBasedDiffusionRecsMhStore) + retweetBasedDiffusionRecsMhStore: ReadableStore[Long, TweetsWithScore], + timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver + ): LookupSimilarityEngine[Query, TweetWithScore] = { + + val versionedStoreMap = Map( + ModelConfig.RetweetBasedDiffusion -> DiffusionBasedSimilarityEngine( + retweetBasedDiffusionRecsMhStore, + globalStats), + ) + + new LookupSimilarityEngine[Query, TweetWithScore]( + versionedStoreMap = versionedStoreMap, + identifier = SimilarityEngineType.DiffusionBasedTweet, + globalStats = globalStats, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/EarlybirdSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/EarlybirdSimilarityEngineModule.scala new file mode 100644 index 000000000..6cdabfce4 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/EarlybirdSimilarityEngineModule.scala @@ -0,0 +1,120 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.EarlybirdModelBasedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.EarlybirdRecencyBasedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.EarlybirdSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.EarlybirdTensorflowBasedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import javax.inject.Singleton + +object EarlybirdSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + def providesRecencyBasedEarlybirdSimilarityEngine( + earlybirdRecencyBasedSimilarityEngine: EarlybirdRecencyBasedSimilarityEngine, + timeoutConfig: TimeoutConfig, + decider: CrMixerDecider, + statsReceiver: StatsReceiver + ): EarlybirdSimilarityEngine[ + EarlybirdRecencyBasedSimilarityEngine.EarlybirdRecencyBasedSearchQuery, + EarlybirdRecencyBasedSimilarityEngine + ] = { + new EarlybirdSimilarityEngine[ + EarlybirdRecencyBasedSimilarityEngine.EarlybirdRecencyBasedSearchQuery, + EarlybirdRecencyBasedSimilarityEngine + ]( + implementingStore = earlybirdRecencyBasedSimilarityEngine, + identifier = SimilarityEngineType.EarlybirdRecencyBasedSimilarityEngine, + globalStats = + statsReceiver.scope(SimilarityEngineType.EarlybirdRecencyBasedSimilarityEngine.name), + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.earlybirdSimilarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = Some( + DeciderConfig( + decider = decider, + deciderString = DeciderConstants.enableEarlybirdTrafficDeciderKey + )), + enableFeatureSwitch = None + ) + ) + ) + } + + @Provides + @Singleton + def providesModelBasedEarlybirdSimilarityEngine( + earlybirdModelBasedSimilarityEngine: EarlybirdModelBasedSimilarityEngine, + timeoutConfig: TimeoutConfig, + decider: CrMixerDecider, + statsReceiver: StatsReceiver + ): EarlybirdSimilarityEngine[ + EarlybirdModelBasedSimilarityEngine.EarlybirdModelBasedSearchQuery, + EarlybirdModelBasedSimilarityEngine + ] = { + new EarlybirdSimilarityEngine[ + EarlybirdModelBasedSimilarityEngine.EarlybirdModelBasedSearchQuery, + EarlybirdModelBasedSimilarityEngine + ]( + implementingStore = earlybirdModelBasedSimilarityEngine, + identifier = SimilarityEngineType.EarlybirdModelBasedSimilarityEngine, + globalStats = + statsReceiver.scope(SimilarityEngineType.EarlybirdModelBasedSimilarityEngine.name), + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.earlybirdSimilarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = Some( + DeciderConfig( + decider = decider, + deciderString = DeciderConstants.enableEarlybirdTrafficDeciderKey + )), + enableFeatureSwitch = None + ) + ) + ) + } + + @Provides + @Singleton + def providesTensorflowBasedEarlybirdSimilarityEngine( + earlybirdTensorflowBasedSimilarityEngine: EarlybirdTensorflowBasedSimilarityEngine, + timeoutConfig: TimeoutConfig, + decider: CrMixerDecider, + statsReceiver: StatsReceiver + ): EarlybirdSimilarityEngine[ + EarlybirdTensorflowBasedSimilarityEngine.EarlybirdTensorflowBasedSearchQuery, + EarlybirdTensorflowBasedSimilarityEngine + ] = { + new EarlybirdSimilarityEngine[ + EarlybirdTensorflowBasedSimilarityEngine.EarlybirdTensorflowBasedSearchQuery, + EarlybirdTensorflowBasedSimilarityEngine + ]( + implementingStore = earlybirdTensorflowBasedSimilarityEngine, + identifier = SimilarityEngineType.EarlybirdTensorflowBasedSimilarityEngine, + globalStats = + statsReceiver.scope(SimilarityEngineType.EarlybirdTensorflowBasedSimilarityEngine.name), + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.earlybirdSimilarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = Some( + DeciderConfig( + decider = decider, + deciderString = DeciderConstants.enableEarlybirdTrafficDeciderKey + )), + enableFeatureSwitch = None + ) + ) + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUnifiedSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUnifiedSimilarityEngineModule.scala new file mode 100644 index 000000000..b16d59924 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUnifiedSimilarityEngineModule.scala @@ -0,0 +1,68 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.ProducerBasedUserTweetGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.ProducerBasedUnifiedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.similarity_engine.SimClustersANNSimilarityEngine +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import javax.inject.Singleton + +object ProducerBasedUnifiedSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ProducerBasedUnifiedSimilarityEngine) + def providesProducerBasedUnifiedSimilarityEngine( + @Named(ModuleNames.ProducerBasedUserTweetGraphSimilarityEngine) + producerBasedUserTweetGraphSimilarityEngine: StandardSimilarityEngine[ + ProducerBasedUserTweetGraphSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.SimClustersANNSimilarityEngine) + simClustersANNSimilarityEngine: StandardSimilarityEngine[ + SimClustersANNSimilarityEngine.Query, + TweetWithScore + ], + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): StandardSimilarityEngine[ + ProducerBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ] = { + + val underlyingStore: ReadableStore[ProducerBasedUnifiedSimilarityEngine.Query, Seq[ + TweetWithCandidateGenerationInfo + ]] = ProducerBasedUnifiedSimilarityEngine( + producerBasedUserTweetGraphSimilarityEngine, + simClustersANNSimilarityEngine, + statsReceiver + ) + + new StandardSimilarityEngine[ + ProducerBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ]( + implementingStore = underlyingStore, + identifier = SimilarityEngineType.ProducerBasedUnifiedSimilarityEngine, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUserAdGraphSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUserAdGraphSimilarityEngineModule.scala new file mode 100644 index 000000000..d221a58a9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUserAdGraphSimilarityEngineModule.scala @@ -0,0 +1,67 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.ProducerBasedUserAdGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine._ +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.keyHasher +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_ad_graph.thriftscala.UserAdGraph +import javax.inject.Named +import javax.inject.Singleton + +object ProducerBasedUserAdGraphSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ProducerBasedUserAdGraphSimilarityEngine) + def providesProducerBasedUserAdGraphSimilarityEngine( + userAdGraphService: UserAdGraph.MethodPerEndpoint, + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + ProducerBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ] = { + new StandardSimilarityEngine[ + ProducerBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = + ProducerBasedUserAdGraphSimilarityEngine(userAdGraphService, statsReceiver), + identifier = SimilarityEngineType.ProducerBasedUserAdGraph, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableUserAdGraphTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ), + memCacheConfig = Some( + MemCacheConfig( + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes, + keyToString = { k => + //Example Query CRMixer:ProducerBasedUTG:1234567890ABCDEF + f"ProducerBasedUTG:${keyHasher.hashKey(k.toString.getBytes)}%X" + } + )) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUserTweetGraphSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUserTweetGraphSimilarityEngineModule.scala new file mode 100644 index 000000000..a5821d01c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/ProducerBasedUserTweetGraphSimilarityEngineModule.scala @@ -0,0 +1,67 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.ProducerBasedUserTweetGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine._ +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.keyHasher +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_tweet_graph.thriftscala.UserTweetGraph +import javax.inject.Named +import javax.inject.Singleton + +object ProducerBasedUserTweetGraphSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ProducerBasedUserTweetGraphSimilarityEngine) + def providesProducerBasedUserTweetGraphSimilarityEngine( + userTweetGraphService: UserTweetGraph.MethodPerEndpoint, + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + ProducerBasedUserTweetGraphSimilarityEngine.Query, + TweetWithScore + ] = { + new StandardSimilarityEngine[ + ProducerBasedUserTweetGraphSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = + ProducerBasedUserTweetGraphSimilarityEngine(userTweetGraphService, statsReceiver), + identifier = SimilarityEngineType.ProducerBasedUserTweetGraph, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableUserTweetGraphTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ), + memCacheConfig = Some( + MemCacheConfig( + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes, + keyToString = { k => + //Example Query CRMixer:ProducerBasedUTG:1234567890ABCDEF + f"ProducerBasedUTG:${keyHasher.hashKey(k.toString.getBytes)}%X" + } + )) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/SimClustersANNSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/SimClustersANNSimilarityEngineModule.scala new file mode 100644 index 000000000..7af68327d --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/SimClustersANNSimilarityEngineModule.scala @@ -0,0 +1,117 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.SimClustersANNSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimClustersANNSimilarityEngine.Query +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hashing.KeyHasher +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.hermit.store.common.ObservedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.relevance_platform.common.injection.LZ4Injection +import com.twitter.relevance_platform.common.injection.SeqObjectInjection +import com.twitter.simclusters_v2.candidate_source.SimClustersANNCandidateSource.CacheableShortTTLEmbeddingTypes +import com.twitter.simclustersann.thriftscala.SimClustersANNService +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Named +import javax.inject.Singleton + +object SimClustersANNSimilarityEngineModule extends TwitterModule { + + private val keyHasher: KeyHasher = KeyHasher.FNV1A_64 + + @Provides + @Singleton + @Named(ModuleNames.SimClustersANNSimilarityEngine) + def providesProdSimClustersANNSimilarityEngine( + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + simClustersANNServiceNameToClientMapper: Map[String, SimClustersANNService.MethodPerEndpoint], + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver + ): StandardSimilarityEngine[Query, TweetWithScore] = { + + val underlyingStore = + SimClustersANNSimilarityEngine(simClustersANNServiceNameToClientMapper, statsReceiver) + + val observedReadableStore = + ObservedReadableStore(underlyingStore)(statsReceiver.scope("SimClustersANNServiceStore")) + + val memCachedStore: ReadableStore[Query, Seq[TweetWithScore]] = + ObservedMemcachedReadableStore + .fromCacheClient( + backingStore = observedReadableStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes + )( + valueInjection = LZ4Injection.compose(SeqObjectInjection[TweetWithScore]()), + statsReceiver = statsReceiver.scope("simclusters_ann_store_memcache"), + keyToString = { k => + //Example Query CRMixer:SCANN:1:2:1234567890ABCDEF:1234567890ABCDEF + f"CRMixer:SCANN:${k.simClustersANNQuery.sourceEmbeddingId.embeddingType.getValue()}%X" + + f":${k.simClustersANNQuery.sourceEmbeddingId.modelVersion.getValue()}%X" + + f":${keyHasher.hashKey(k.simClustersANNQuery.sourceEmbeddingId.internalId.toString.getBytes)}%X" + + f":${keyHasher.hashKey(k.simClustersANNQuery.config.toString.getBytes)}%X" + } + ) + + // Only cache the candidates if it's not Consumer-source. For example, TweetSource, + // ProducerSource, TopicSource + val wrapperStats = statsReceiver.scope("SimClustersANNWrapperStore") + + val wrapperStore: ReadableStore[Query, Seq[TweetWithScore]] = + buildWrapperStore(memCachedStore, observedReadableStore, wrapperStats) + + new StandardSimilarityEngine[ + Query, + TweetWithScore + ]( + implementingStore = wrapperStore, + identifier = SimilarityEngineType.SimClustersANN, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } + + def buildWrapperStore( + memCachedStore: ReadableStore[Query, Seq[TweetWithScore]], + underlyingStore: ReadableStore[Query, Seq[TweetWithScore]], + wrapperStats: StatsReceiver + ): ReadableStore[Query, Seq[TweetWithScore]] = { + + // Only cache the candidates if it's not Consumer-source. For example, TweetSource, + // ProducerSource, TopicSource + val wrapperStore: ReadableStore[Query, Seq[TweetWithScore]] = + new ReadableStore[Query, Seq[TweetWithScore]] { + + override def multiGet[K1 <: Query]( + queries: Set[K1] + ): Map[K1, Future[Option[Seq[TweetWithScore]]]] = { + val (cacheableQueries, nonCacheableQueries) = + queries.partition { query => + CacheableShortTTLEmbeddingTypes.contains( + query.simClustersANNQuery.sourceEmbeddingId.embeddingType) + } + memCachedStore.multiGet(cacheableQueries) ++ + underlyingStore.multiGet(nonCacheableQueries) + } + } + wrapperStore + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/SkitTopicTweetSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/SkitTopicTweetSimilarityEngineModule.scala new file mode 100644 index 000000000..4de20fcfe --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/SkitTopicTweetSimilarityEngineModule.scala @@ -0,0 +1,88 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TopicTweetWithScore +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.EngineQuery +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.SkitHighPrecisionTopicTweetSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SkitTopicTweetSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SkitTopicTweetSimilarityEngine.Query +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storehaus.ReadableStore +import com.twitter.topic_recos.thriftscala.TopicTweet +import com.twitter.topic_recos.thriftscala.TopicTweetPartitionFlatKey +import javax.inject.Named +import javax.inject.Singleton + +object SkitTopicTweetSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.SkitHighPrecisionTopicTweetSimilarityEngine) + def providesSkitHighPrecisionTopicTweetSimilarityEngine( + @Named(ModuleNames.SkitStratoStoreName) skitStratoStore: ReadableStore[ + TopicTweetPartitionFlatKey, + Seq[TopicTweet] + ], + timeoutConfig: TimeoutConfig, + decider: CrMixerDecider, + statsReceiver: StatsReceiver + ): StandardSimilarityEngine[ + EngineQuery[Query], + TopicTweetWithScore + ] = { + new StandardSimilarityEngine[EngineQuery[Query], TopicTweetWithScore]( + implementingStore = + SkitHighPrecisionTopicTweetSimilarityEngine(skitStratoStore, statsReceiver), + identifier = SimilarityEngineType.SkitHighPrecisionTopicTweet, + globalStats = statsReceiver.scope(SimilarityEngineType.SkitHighPrecisionTopicTweet.name), + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.topicTweetEndpointTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableTopicTweetTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ) + ) + } + @Provides + @Singleton + @Named(ModuleNames.SkitTopicTweetSimilarityEngine) + def providesSkitTfgTopicTweetSimilarityEngine( + @Named(ModuleNames.SkitStratoStoreName) skitStratoStore: ReadableStore[ + TopicTweetPartitionFlatKey, + Seq[TopicTweet] + ], + timeoutConfig: TimeoutConfig, + decider: CrMixerDecider, + statsReceiver: StatsReceiver + ): StandardSimilarityEngine[ + EngineQuery[Query], + TopicTweetWithScore + ] = { + new StandardSimilarityEngine[EngineQuery[Query], TopicTweetWithScore]( + implementingStore = SkitTopicTweetSimilarityEngine(skitStratoStore, statsReceiver), + identifier = SimilarityEngineType.SkitTfgTopicTweet, + globalStats = statsReceiver.scope(SimilarityEngineType.SkitTfgTopicTweet.name), + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.topicTweetEndpointTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableTopicTweetTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ) + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedQigSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedQigSimilarityEngineModule.scala new file mode 100644 index 000000000..06d9a2186 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedQigSimilarityEngineModule.scala @@ -0,0 +1,66 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine._ +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.keyHasher +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedQigSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.qig_ranker.thriftscala.QigRanker +import javax.inject.Named +import javax.inject.Singleton + +object TweetBasedQigSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.TweetBasedQigSimilarityEngine) + def providesTweetBasedQigSimilarTweetsCandidateSource( + qigRanker: QigRanker.MethodPerEndpoint, + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + TweetBasedQigSimilarityEngine.Query, + TweetWithScore + ] = { + new StandardSimilarityEngine[ + TweetBasedQigSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = TweetBasedQigSimilarityEngine(qigRanker, statsReceiver), + identifier = SimilarityEngineType.Qig, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableQigSimilarTweetsTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ), + memCacheConfig = Some( + MemCacheConfig( + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes, + keyToString = { k => + f"TweetBasedQIGRanker:${keyHasher.hashKey(k.sourceId.toString.getBytes)}%X" + } + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedTwHINSimlarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedTwHINSimlarityEngineModule.scala new file mode 100644 index 000000000..cc9da4772 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedTwHINSimlarityEngineModule.scala @@ -0,0 +1,70 @@ +package com.twitter.cr_mixer.module.similarity_engine +import com.google.inject.Provides +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.cr_mixer.module.EmbeddingStoreModule +import com.twitter.cr_mixer.module.thrift_client.AnnQueryServiceClientModule +import com.twitter.cr_mixer.similarity_engine.HnswANNSimilarityEngine +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import com.twitter.ml.api.{thriftscala => api} +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.HnswANNEngineQuery +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.memcached.{Client => MemcachedClient} + +object TweetBasedTwHINSimlarityEngineModule extends TwitterModule { + @Provides + @Named(ModuleNames.TweetBasedTwHINANNSimilarityEngine) + def providesTweetBasedTwHINANNSimilarityEngine( + // MH stores + @Named(EmbeddingStoreModule.TwHINEmbeddingRegularUpdateMhStoreName) + twHINEmbeddingRegularUpdateMhStore: ReadableStore[InternalId, api.Embedding], + @Named(EmbeddingStoreModule.DebuggerDemoTweetEmbeddingMhStoreName) + debuggerDemoTweetEmbeddingMhStore: ReadableStore[InternalId, api.Embedding], + // ANN clients + @Named(AnnQueryServiceClientModule.TwHINRegularUpdateAnnServiceClientName) + twHINRegularUpdateAnnService: AnnQueryService.MethodPerEndpoint, + @Named(AnnQueryServiceClientModule.DebuggerDemoAnnServiceClientName) + debuggerDemoAnnService: AnnQueryService.MethodPerEndpoint, + // Other configs + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver + ): HnswANNSimilarityEngine = { + new HnswANNSimilarityEngine( + embeddingStoreLookUpMap = Map( + ModelConfig.TweetBasedTwHINRegularUpdateAll20221024 -> twHINEmbeddingRegularUpdateMhStore, + ModelConfig.DebuggerDemo -> debuggerDemoTweetEmbeddingMhStore, + ), + annServiceLookUpMap = Map( + ModelConfig.TweetBasedTwHINRegularUpdateAll20221024 -> twHINRegularUpdateAnnService, + ModelConfig.DebuggerDemo -> debuggerDemoAnnService, + ), + globalStats = statsReceiver, + identifier = SimilarityEngineType.TweetBasedTwHINANN, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ), + memCacheConfigOpt = Some( + SimilarityEngine.MemCacheConfig[HnswANNEngineQuery]( + cacheClient = crMixerUnifiedCacheClient, + ttl = 30.minutes, + keyToString = (query: HnswANNEngineQuery) => + SimilarityEngine.keyHasher.hashKey(query.cacheKey.getBytes).toString + )) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUnifiedSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUnifiedSimilarityEngineModule.scala new file mode 100644 index 000000000..aa54bf071 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUnifiedSimilarityEngineModule.scala @@ -0,0 +1,83 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.HnswANNSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimClustersANNSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedQigSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUnifiedSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUserTweetGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUserVideoGraphSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import javax.inject.Singleton + +object TweetBasedUnifiedSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.TweetBasedUnifiedSimilarityEngine) + def providesTweetBasedUnifiedSimilarityEngine( + @Named(ModuleNames.TweetBasedUserTweetGraphSimilarityEngine) tweetBasedUserTweetGraphSimilarityEngine: StandardSimilarityEngine[ + TweetBasedUserTweetGraphSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.TweetBasedUserVideoGraphSimilarityEngine) tweetBasedUserVideoGraphSimilarityEngine: StandardSimilarityEngine[ + TweetBasedUserVideoGraphSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.TweetBasedTwHINANNSimilarityEngine) + tweetBasedTwHINANNSimilarityEngine: HnswANNSimilarityEngine, + @Named(ModuleNames.TweetBasedQigSimilarityEngine) tweetBasedQigSimilarityEngine: StandardSimilarityEngine[ + TweetBasedQigSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.SimClustersANNSimilarityEngine) + simClustersANNSimilarityEngine: StandardSimilarityEngine[ + SimClustersANNSimilarityEngine.Query, + TweetWithScore + ], + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): StandardSimilarityEngine[ + TweetBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ] = { + + val underlyingStore: ReadableStore[TweetBasedUnifiedSimilarityEngine.Query, Seq[ + TweetWithCandidateGenerationInfo + ]] = TweetBasedUnifiedSimilarityEngine( + tweetBasedUserTweetGraphSimilarityEngine, + tweetBasedUserVideoGraphSimilarityEngine, + simClustersANNSimilarityEngine, + tweetBasedQigSimilarityEngine, + tweetBasedTwHINANNSimilarityEngine, + statsReceiver + ) + + new StandardSimilarityEngine[ + TweetBasedUnifiedSimilarityEngine.Query, + TweetWithCandidateGenerationInfo + ]( + implementingStore = underlyingStore, + identifier = SimilarityEngineType.TweetBasedUnifiedSimilarityEngine, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserAdGraphSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserAdGraphSimilarityEngineModule.scala new file mode 100644 index 000000000..7288e603f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserAdGraphSimilarityEngineModule.scala @@ -0,0 +1,91 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUserAdGraphSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hashing.KeyHasher +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_ad_graph.thriftscala.UserAdGraph +import com.twitter.relevance_platform.common.injection.LZ4Injection +import com.twitter.relevance_platform.common.injection.SeqObjectInjection +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.storehaus.ReadableStore +import com.twitter.twistly.thriftscala.TweetRecentEngagedUsers +import javax.inject.Named +import javax.inject.Singleton + +object TweetBasedUserAdGraphSimilarityEngineModule extends TwitterModule { + + private val keyHasher: KeyHasher = KeyHasher.FNV1A_64 + + @Provides + @Singleton + @Named(ModuleNames.TweetBasedUserAdGraphSimilarityEngine) + def providesTweetBasedUserAdGraphSimilarityEngine( + userAdGraphService: UserAdGraph.MethodPerEndpoint, + tweetRecentEngagedUserStore: ReadableStore[TweetId, TweetRecentEngagedUsers], + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + TweetBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ] = { + + val underlyingStore = TweetBasedUserAdGraphSimilarityEngine( + userAdGraphService, + tweetRecentEngagedUserStore, + statsReceiver) + + val memCachedStore: ReadableStore[ + TweetBasedUserAdGraphSimilarityEngine.Query, + Seq[ + TweetWithScore + ] + ] = + ObservedMemcachedReadableStore + .fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes + )( + valueInjection = LZ4Injection.compose(SeqObjectInjection[TweetWithScore]()), + statsReceiver = statsReceiver.scope("tweet_based_user_ad_graph_store_memcache"), + keyToString = { k => + //Example Query CRMixer:TweetBasedUTG:1234567890ABCDEF + f"CRMixer:TweetBasedUAG:${keyHasher.hashKey(k.toString.getBytes)}%X" + } + ) + + new StandardSimilarityEngine[ + TweetBasedUserAdGraphSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = memCachedStore, + identifier = SimilarityEngineType.TweetBasedUserAdGraph, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableUserAdGraphTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserTweetGraphSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserTweetGraphSimilarityEngineModule.scala new file mode 100644 index 000000000..a7a388199 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserTweetGraphSimilarityEngineModule.scala @@ -0,0 +1,92 @@ +package com.twitter.cr_mixer.module +package similarity_engine + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUserTweetGraphSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hashing.KeyHasher +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_tweet_graph.thriftscala.UserTweetGraph +import com.twitter.relevance_platform.common.injection.LZ4Injection +import com.twitter.relevance_platform.common.injection.SeqObjectInjection +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.storehaus.ReadableStore +import com.twitter.twistly.thriftscala.TweetRecentEngagedUsers +import javax.inject.Named +import javax.inject.Singleton + +object TweetBasedUserTweetGraphSimilarityEngineModule extends TwitterModule { + + private val keyHasher: KeyHasher = KeyHasher.FNV1A_64 + + @Provides + @Singleton + @Named(ModuleNames.TweetBasedUserTweetGraphSimilarityEngine) + def providesTweetBasedUserTweetGraphSimilarityEngine( + userTweetGraphService: UserTweetGraph.MethodPerEndpoint, + tweetRecentEngagedUserStore: ReadableStore[TweetId, TweetRecentEngagedUsers], + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + TweetBasedUserTweetGraphSimilarityEngine.Query, + TweetWithScore + ] = { + + val underlyingStore = TweetBasedUserTweetGraphSimilarityEngine( + userTweetGraphService, + tweetRecentEngagedUserStore, + statsReceiver) + + val memCachedStore: ReadableStore[ + TweetBasedUserTweetGraphSimilarityEngine.Query, + Seq[ + TweetWithScore + ] + ] = + ObservedMemcachedReadableStore + .fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes + )( + valueInjection = LZ4Injection.compose(SeqObjectInjection[TweetWithScore]()), + statsReceiver = statsReceiver.scope("tweet_based_user_tweet_graph_store_memcache"), + keyToString = { k => + //Example Query CRMixer:TweetBasedUTG:1234567890ABCDEF + f"CRMixer:TweetBasedUTG:${keyHasher.hashKey(k.toString.getBytes)}%X" + } + ) + + new StandardSimilarityEngine[ + TweetBasedUserTweetGraphSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = memCachedStore, + identifier = SimilarityEngineType.TweetBasedUserTweetGraph, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableUserTweetGraphTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserVideoGraphSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserVideoGraphSimilarityEngineModule.scala new file mode 100644 index 000000000..efc354d21 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TweetBasedUserVideoGraphSimilarityEngineModule.scala @@ -0,0 +1,92 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TweetBasedUserVideoGraphSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hashing.KeyHasher +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_video_graph.thriftscala.UserVideoGraph +import com.twitter.relevance_platform.common.injection.LZ4Injection +import com.twitter.relevance_platform.common.injection.SeqObjectInjection +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.storehaus.ReadableStore +import com.twitter.twistly.thriftscala.TweetRecentEngagedUsers +import javax.inject.Named +import javax.inject.Singleton + +object TweetBasedUserVideoGraphSimilarityEngineModule extends TwitterModule { + + private val keyHasher: KeyHasher = KeyHasher.FNV1A_64 + + @Provides + @Singleton + @Named(ModuleNames.TweetBasedUserVideoGraphSimilarityEngine) + def providesTweetBasedUserVideoGraphSimilarityEngine( + userVideoGraphService: UserVideoGraph.MethodPerEndpoint, + tweetRecentEngagedUserStore: ReadableStore[TweetId, TweetRecentEngagedUsers], + @Named(ModuleNames.UnifiedCache) crMixerUnifiedCacheClient: MemcachedClient, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + TweetBasedUserVideoGraphSimilarityEngine.Query, + TweetWithScore + ] = { + + val underlyingStore = + TweetBasedUserVideoGraphSimilarityEngine( + userVideoGraphService, + tweetRecentEngagedUserStore, + statsReceiver) + + val memCachedStore: ReadableStore[ + TweetBasedUserVideoGraphSimilarityEngine.Query, + Seq[ + TweetWithScore + ] + ] = + ObservedMemcachedReadableStore + .fromCacheClient( + backingStore = underlyingStore, + cacheClient = crMixerUnifiedCacheClient, + ttl = 10.minutes + )( + valueInjection = LZ4Injection.compose(SeqObjectInjection[TweetWithScore]()), + statsReceiver = statsReceiver.scope("tweet_based_user_video_graph_store_memcache"), + keyToString = { k => + //Example Query CRMixer:TweetBasedUVG:1234567890ABCDEF + f"CRMixer:TweetBasedUVG:${keyHasher.hashKey(k.toString.getBytes)}%X" + } + ) + + new StandardSimilarityEngine[ + TweetBasedUserVideoGraphSimilarityEngine.Query, + TweetWithScore + ]( + implementingStore = memCachedStore, + identifier = SimilarityEngineType.TweetBasedUserVideoGraph, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = + Some(DeciderConfig(decider, DeciderConstants.enableUserVideoGraphTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TwhinCollabFilterLookupSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TwhinCollabFilterLookupSimilarityEngineModule.scala new file mode 100644 index 000000000..4f7c909e3 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/TwhinCollabFilterLookupSimilarityEngineModule.scala @@ -0,0 +1,71 @@ +package com.twitter.cr_mixer.module +package similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.similarity_engine.LookupSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.TwhinCollabFilterSimilarityEngine.Query +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.TwhinCollabFilterSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storehaus.ReadableStore +import javax.inject.Named +import javax.inject.Singleton + +/** + * TwhinCandidatesLookupSimilarityEngineModule routes the request to the corresponding + * twhin based candidate store which follow the same pattern as TwHIN Collaborative Filtering. + */ + +object TwhinCollabFilterLookupSimilarityEngineModule extends TwitterModule { + @Provides + @Singleton + @Named(ModuleNames.TwhinCollabFilterSimilarityEngine) + def providesTwhinCollabFilterLookupSimilarityEngineModule( + @Named(ModuleNames.TwhinCollabFilterStratoStoreForFollow) + twhinCollabFilterStratoStoreForFollow: ReadableStore[Long, Seq[TweetId]], + @Named(ModuleNames.TwhinCollabFilterStratoStoreForEngagement) + twhinCollabFilterStratoStoreForEngagement: ReadableStore[Long, Seq[TweetId]], + @Named(ModuleNames.TwhinMultiClusterStratoStoreForFollow) + twhinMultiClusterStratoStoreForFollow: ReadableStore[Long, Seq[TweetId]], + @Named(ModuleNames.TwhinMultiClusterStratoStoreForEngagement) + twhinMultiClusterStratoStoreForEngagement: ReadableStore[Long, Seq[TweetId]], + timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver + ): LookupSimilarityEngine[Query, TweetWithScore] = { + val versionedStoreMap = Map( + ModelConfig.TwhinCollabFilterForFollow -> TwhinCollabFilterSimilarityEngine( + twhinCollabFilterStratoStoreForFollow, + globalStats), + ModelConfig.TwhinCollabFilterForEngagement -> TwhinCollabFilterSimilarityEngine( + twhinCollabFilterStratoStoreForEngagement, + globalStats), + ModelConfig.TwhinMultiClusterForFollow -> TwhinCollabFilterSimilarityEngine( + twhinMultiClusterStratoStoreForFollow, + globalStats), + ModelConfig.TwhinMultiClusterForEngagement -> TwhinCollabFilterSimilarityEngine( + twhinMultiClusterStratoStoreForEngagement, + globalStats), + ) + + new LookupSimilarityEngine[Query, TweetWithScore]( + versionedStoreMap = versionedStoreMap, + identifier = SimilarityEngineType.TwhinCollabFilter, + globalStats = globalStats, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.similarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = None, + enableFeatureSwitch = None + ) + ) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/UserTweetEntityGraphSimilarityEngineModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/UserTweetEntityGraphSimilarityEngineModule.scala new file mode 100644 index 000000000..cf2093208 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/similarity_engine/UserTweetEntityGraphSimilarityEngineModule.scala @@ -0,0 +1,55 @@ +package com.twitter.cr_mixer.module.similarity_engine + +import com.google.inject.Provides +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithScoreAndSocialProof +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.similarity_engine.UserTweetEntityGraphSimilarityEngine +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.DeciderConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.GatingConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.similarity_engine.StandardSimilarityEngine +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.recos.user_tweet_entity_graph.thriftscala.UserTweetEntityGraph +import javax.inject.Named +import javax.inject.Singleton + +object UserTweetEntityGraphSimilarityEngineModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.UserTweetEntityGraphSimilarityEngine) + def providesUserTweetEntityGraphSimilarityEngine( + userTweetEntityGraphService: UserTweetEntityGraph.MethodPerEndpoint, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + decider: CrMixerDecider + ): StandardSimilarityEngine[ + UserTweetEntityGraphSimilarityEngine.Query, + TweetWithScoreAndSocialProof + ] = { + new StandardSimilarityEngine[ + UserTweetEntityGraphSimilarityEngine.Query, + TweetWithScoreAndSocialProof + ]( + implementingStore = + UserTweetEntityGraphSimilarityEngine(userTweetEntityGraphService, statsReceiver), + identifier = SimilarityEngineType.Uteg, + globalStats = statsReceiver, + engineConfig = SimilarityEngineConfig( + timeout = timeoutConfig.utegSimilarityEngineTimeout, + gatingConfig = GatingConfig( + deciderConfig = Some( + DeciderConfig(decider, DeciderConstants.enableUserTweetEntityGraphTrafficDeciderKey)), + enableFeatureSwitch = None + ) + ), + // We cannot use the key to cache anything in UTEG because the key contains a long list of userIds + memCacheConfig = None + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/AnnQueryServiceClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/AnnQueryServiceClientModule.scala new file mode 100644 index 000000000..17dbfcae5 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/AnnQueryServiceClientModule.scala @@ -0,0 +1,107 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.google.inject.Provides +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.conversions.DurationOps._ +import com.twitter.conversions.PercentOps._ +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.thrift.ClientId +import com.twitter.inject.TwitterModule +import javax.inject.Named +import javax.inject.Singleton + +object AnnQueryServiceClientModule extends TwitterModule { + final val DebuggerDemoAnnServiceClientName = "DebuggerDemoAnnServiceClient" + + @Provides + @Singleton + @Named(DebuggerDemoAnnServiceClientName) + def debuggerDemoAnnServiceClient( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + statsReceiver: StatsReceiver, + timeoutConfig: TimeoutConfig, + ): AnnQueryService.MethodPerEndpoint = { + // This ANN is built from the embeddings in src/scala/com/twitter/wtf/beam/bq_embedding_export/sql/MlfExperimentalTweetEmbeddingScalaDataset.sql + // Change the above sql if you want to build the index from a diff embedding + val dest = "/s/cassowary/mlf-experimental-ann-service" + val label = "experimental-ann" + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + final val TwHINUuaAnnServiceClientName = "TwHINUuaAnnServiceClient" + @Provides + @Singleton + @Named(TwHINUuaAnnServiceClientName) + def twhinUuaAnnServiceClient( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + statsReceiver: StatsReceiver, + timeoutConfig: TimeoutConfig, + ): AnnQueryService.MethodPerEndpoint = { + val dest = "/s/cassowary/twhin-uua-ann-service" + val label = "twhin_uua_ann" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + final val TwHINRegularUpdateAnnServiceClientName = "TwHINRegularUpdateAnnServiceClient" + @Provides + @Singleton + @Named(TwHINRegularUpdateAnnServiceClientName) + def twHINRegularUpdateAnnServiceClient( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + statsReceiver: StatsReceiver, + timeoutConfig: TimeoutConfig, + ): AnnQueryService.MethodPerEndpoint = { + val dest = "/s/cassowary/twhin-regular-update-ann-service" + val label = "twhin_regular_update" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + final val TwoTowerFavAnnServiceClientName = "TwoTowerFavAnnServiceClient" + @Provides + @Singleton + @Named(TwoTowerFavAnnServiceClientName) + def twoTowerFavAnnServiceClient( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + statsReceiver: StatsReceiver, + timeoutConfig: TimeoutConfig, + ): AnnQueryService.MethodPerEndpoint = { + val dest = "/s/cassowary/tweet-rec-two-tower-fav-ann" + val label = "tweet_rec_two_tower_fav_ann" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + private def buildClient( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + dest: String, + label: String + ): AnnQueryService.MethodPerEndpoint = { + val thriftClient = ThriftMux.client + .withMutualTls(serviceIdentifier) + .withClientId(clientId) + .withLabel(label) + .withStatsReceiver(statsReceiver) + .withTransport.connectTimeout(500.milliseconds) + .withSession.acquisitionTimeout(500.milliseconds) + .methodBuilder(dest) + .withTimeoutPerRequest(timeoutConfig.annServiceClientTimeout) + .withRetryDisabled + .idempotent(5.percent) + .servicePerEndpoint[AnnQueryService.ServicePerEndpoint] + + ThriftMux.Client.methodPerEndpoint(thriftClient) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/EarlybirdSearchClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/EarlybirdSearchClientModule.scala new file mode 100644 index 000000000..c399a5a37 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/EarlybirdSearchClientModule.scala @@ -0,0 +1,39 @@ +package com.twitter.cr_mixer.module.thrift_client +import com.twitter.app.Flag +import com.twitter.finagle.ThriftMux +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.search.earlybird.thriftscala.EarlybirdService +import com.twitter.inject.Injector +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.EarlybirdClientTimeoutFlagName +import com.twitter.finagle.service.RetryBudget +import com.twitter.util.Duration +import org.apache.thrift.protocol.TCompactProtocol + +object EarlybirdSearchClientModule + extends ThriftMethodBuilderClientModule[ + EarlybirdService.ServicePerEndpoint, + EarlybirdService.MethodPerEndpoint + ] + with MtlsClient { + + override def label: String = "earlybird" + override def dest: String = "/s/earlybird-root-superroot/root-superroot" + private val requestTimeoutFlag: Flag[Duration] = + flag[Duration](EarlybirdClientTimeoutFlagName, "Earlybird client timeout") + override protected def requestTimeout: Duration = requestTimeoutFlag() + + override def retryBudget: RetryBudget = RetryBudget.Empty + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = { + super + .configureThriftMuxClient(injector, client) + .withProtocolFactory(new TCompactProtocol.Factory()) + .withSessionQualifier + .successRateFailureAccrual(successRate = 0.9, window = 30.seconds) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/FrsClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/FrsClientModule.scala new file mode 100644 index 000000000..1084f2c1a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/FrsClientModule.scala @@ -0,0 +1,41 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.app.Flag +import com.twitter.finagle.ThriftMux +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.FrsClientTimeoutFlagName +import com.twitter.finagle.service.RetryBudget +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.thriftscala.FollowRecommendationsThriftService +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.util.Duration + +object FrsClientModule + extends ThriftMethodBuilderClientModule[ + FollowRecommendationsThriftService.ServicePerEndpoint, + FollowRecommendationsThriftService.MethodPerEndpoint + ] + with MtlsClient { + + override def label: String = "follow-recommendations-service" + override def dest: String = "/s/follow-recommendations/follow-recos-service" + + private val frsSignalFetchTimeout: Flag[Duration] = + flag[Duration](FrsClientTimeoutFlagName, "FRS signal fetch client timeout") + override def requestTimeout: Duration = frsSignalFetchTimeout() + + override def retryBudget: RetryBudget = RetryBudget.Empty + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = { + super + .configureThriftMuxClient(injector, client) + .withStatsReceiver(injector.instance[StatsReceiver].scope("clnt")) + .withSessionQualifier + .successRateFailureAccrual(successRate = 0.9, window = 30.seconds) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/HydraPartitionClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/HydraPartitionClientModule.scala new file mode 100644 index 000000000..c208e111c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/HydraPartitionClientModule.scala @@ -0,0 +1,25 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.thriftmux.MethodBuilder +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.hydra.partition.{thriftscala => ht} + +object HydraPartitionClientModule + extends ThriftMethodBuilderClientModule[ + ht.HydraPartition.ServicePerEndpoint, + ht.HydraPartition.MethodPerEndpoint + ] + with MtlsClient { + override def label: String = "hydra-partition" + + override def dest: String = "/s/hydra/hydra-partition" + + override protected def configureMethodBuilder( + injector: Injector, + methodBuilder: MethodBuilder + ): MethodBuilder = methodBuilder.withTimeoutTotal(500.milliseconds) + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/HydraRootClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/HydraRootClientModule.scala new file mode 100644 index 000000000..28d5b1767 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/HydraRootClientModule.scala @@ -0,0 +1,25 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.thriftmux.MethodBuilder +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.hydra.root.{thriftscala => ht} +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule + +object HydraRootClientModule + extends ThriftMethodBuilderClientModule[ + ht.HydraRoot.ServicePerEndpoint, + ht.HydraRoot.MethodPerEndpoint + ] + with MtlsClient { + override def label: String = "hydra-root" + + override def dest: String = "/s/hydra/hydra-root" + + override protected def configureMethodBuilder( + injector: Injector, + methodBuilder: MethodBuilder + ): MethodBuilder = methodBuilder.withTimeoutTotal(500.milliseconds) + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/QigServiceClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/QigServiceClientModule.scala new file mode 100644 index 000000000..86675e349 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/QigServiceClientModule.scala @@ -0,0 +1,40 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.app.Flag +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.QigRankerClientTimeoutFlagName +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.service.ReqRep +import com.twitter.finagle.service.ResponseClass +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.qig_ranker.thriftscala.QigRanker +import com.twitter.util.Duration +import com.twitter.util.Throw + +object QigServiceClientModule + extends ThriftMethodBuilderClientModule[ + QigRanker.ServicePerEndpoint, + QigRanker.MethodPerEndpoint + ] + with MtlsClient { + override val label: String = "qig-ranker" + override val dest: String = "/s/qig-shared/qig-ranker" + private val qigRankerClientTimeout: Flag[Duration] = + flag[Duration](QigRankerClientTimeoutFlagName, "ranking timeout") + + override def requestTimeout: Duration = qigRankerClientTimeout() + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = + super + .configureThriftMuxClient(injector, client) + .withStatsReceiver(injector.instance[StatsReceiver].scope("clnt")) + .withResponseClassifier { + case ReqRep(_, Throw(_: ClientDiscardedRequestException)) => ResponseClass.Ignorable + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/SimClustersAnnServiceClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/SimClustersAnnServiceClientModule.scala new file mode 100644 index 000000000..7504ab6c3 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/SimClustersAnnServiceClientModule.scala @@ -0,0 +1,147 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.google.inject.Provides +import com.twitter.conversions.PercentOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.thrift.ClientId +import com.twitter.inject.TwitterModule +import com.twitter.simclustersann.{thriftscala => t} +import javax.inject.Named +import javax.inject.Singleton + +object SimClustersAnnServiceClientModule extends TwitterModule { + + @Provides + @Singleton + @Named(ModuleNames.ProdSimClustersANNServiceClientName) + def providesProdSimClustersANNServiceClient( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): t.SimClustersANNService.MethodPerEndpoint = { + val label = "simclusters-ann-server" + val dest = "/s/simclusters-ann/simclusters-ann" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + @Provides + @Singleton + @Named(ModuleNames.ExperimentalSimClustersANNServiceClientName) + def providesExperimentalSimClustersANNServiceClient( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): t.SimClustersANNService.MethodPerEndpoint = { + val label = "simclusters-ann-experimental-server" + val dest = "/s/simclusters-ann/simclusters-ann-experimental" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + @Provides + @Singleton + @Named(ModuleNames.SimClustersANNServiceClientName1) + def providesSimClustersANNServiceClient1( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): t.SimClustersANNService.MethodPerEndpoint = { + val label = "simclusters-ann-server-1" + val dest = "/s/simclusters-ann/simclusters-ann-1" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + @Provides + @Singleton + @Named(ModuleNames.SimClustersANNServiceClientName2) + def providesSimClustersANNServiceClient2( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): t.SimClustersANNService.MethodPerEndpoint = { + val label = "simclusters-ann-server-2" + val dest = "/s/simclusters-ann/simclusters-ann-2" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + @Provides + @Singleton + @Named(ModuleNames.SimClustersANNServiceClientName3) + def providesSimClustersANNServiceClient3( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): t.SimClustersANNService.MethodPerEndpoint = { + val label = "simclusters-ann-server-3" + val dest = "/s/simclusters-ann/simclusters-ann-3" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + @Provides + @Singleton + @Named(ModuleNames.SimClustersANNServiceClientName5) + def providesSimClustersANNServiceClient5( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): t.SimClustersANNService.MethodPerEndpoint = { + val label = "simclusters-ann-server-5" + val dest = "/s/simclusters-ann/simclusters-ann-5" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + + @Provides + @Singleton + @Named(ModuleNames.SimClustersANNServiceClientName4) + def providesSimClustersANNServiceClient4( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + ): t.SimClustersANNService.MethodPerEndpoint = { + val label = "simclusters-ann-server-4" + val dest = "/s/simclusters-ann/simclusters-ann-4" + + buildClient(serviceIdentifier, clientId, timeoutConfig, statsReceiver, dest, label) + } + private def buildClient( + serviceIdentifier: ServiceIdentifier, + clientId: ClientId, + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver, + dest: String, + label: String + ): t.SimClustersANNService.MethodPerEndpoint = { + val stats = statsReceiver.scope("clnt") + + val thriftClient = ThriftMux.client + .withMutualTls(serviceIdentifier) + .withClientId(clientId) + .withLabel(label) + .withStatsReceiver(stats) + .methodBuilder(dest) + .idempotent(5.percent) + .withTimeoutPerRequest(timeoutConfig.annServiceClientTimeout) + .withRetryDisabled + .servicePerEndpoint[t.SimClustersANNService.ServicePerEndpoint] + + ThriftMux.Client.methodPerEndpoint(thriftClient) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/TweetyPieClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/TweetyPieClientModule.scala new file mode 100644 index 000000000..610ccc95a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/TweetyPieClientModule.scala @@ -0,0 +1,60 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.google.inject.Provides +import com.twitter.app.Flag +import com.twitter.conversions.DurationOps.richDurationFromInt +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.TweetypieClientTimeoutFlagName +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.service.ReqRep +import com.twitter.finagle.service.ResponseClass +import com.twitter.finagle.service.RetryBudget +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.stitch.tweetypie.{TweetyPie => STweetyPie} +import com.twitter.tweetypie.thriftscala.TweetService +import com.twitter.util.Duration +import com.twitter.util.Throw +import javax.inject.Singleton + +object TweetyPieClientModule + extends ThriftMethodBuilderClientModule[ + TweetService.ServicePerEndpoint, + TweetService.MethodPerEndpoint + ] + with MtlsClient { + + override val label = "tweetypie" + override val dest = "/s/tweetypie/tweetypie" + + private val tweetypieClientTimeout: Flag[Duration] = + flag[Duration](TweetypieClientTimeoutFlagName, "tweetypie client timeout") + override def requestTimeout: Duration = tweetypieClientTimeout() + + override def retryBudget: RetryBudget = RetryBudget.Empty + + // We bump the success rate from the default of 0.8 to 0.9 since we're dropping the + // consecutive failures part of the default policy. + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = + super + .configureThriftMuxClient(injector, client) + .withStatsReceiver(injector.instance[StatsReceiver].scope("clnt")) + .withSessionQualifier + .successRateFailureAccrual(successRate = 0.9, window = 30.seconds) + .withResponseClassifier { + case ReqRep(_, Throw(_: ClientDiscardedRequestException)) => ResponseClass.Ignorable + } + + @Provides + @Singleton + def providesTweetyPie( + tweetyPieService: TweetService.MethodPerEndpoint + ): STweetyPie = { + STweetyPie(tweetyPieService) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserAdGraphClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserAdGraphClientModule.scala new file mode 100644 index 000000000..4c1f337ab --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserAdGraphClientModule.scala @@ -0,0 +1,47 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.app.Flag +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.UserAdGraphClientTimeoutFlagName +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient.MtlsThriftMuxClientSyntax +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.service.ReqRep +import com.twitter.finagle.service.ResponseClass +import com.twitter.finagle.service.RetryBudget +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.recos.user_ad_graph.thriftscala.UserAdGraph +import com.twitter.util.Duration +import com.twitter.util.Throw + +object UserAdGraphClientModule + extends ThriftMethodBuilderClientModule[ + UserAdGraph.ServicePerEndpoint, + UserAdGraph.MethodPerEndpoint + ] + with MtlsClient { + + override val label = "user-ad-graph" + override val dest = "/s/user-tweet-graph/user-ad-graph" + private val userAdGraphClientTimeout: Flag[Duration] = + flag[Duration](UserAdGraphClientTimeoutFlagName, "userAdGraph client timeout") + override def requestTimeout: Duration = userAdGraphClientTimeout() + + override def retryBudget: RetryBudget = RetryBudget.Empty + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = + super + .configureThriftMuxClient(injector, client) + .withMutualTls(injector.instance[ServiceIdentifier]) + .withStatsReceiver(injector.instance[StatsReceiver].scope("clnt")) + .withResponseClassifier { + case ReqRep(_, Throw(_: ClientDiscardedRequestException)) => ResponseClass.Ignorable + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetEntityGraphClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetEntityGraphClientModule.scala new file mode 100644 index 000000000..337f943f7 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetEntityGraphClientModule.scala @@ -0,0 +1,44 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.app.Flag +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.UtegClientTimeoutFlagName +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.service.ReqRep +import com.twitter.finagle.service.ResponseClass +import com.twitter.finagle.service.RetryBudget +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.recos.user_tweet_entity_graph.thriftscala.UserTweetEntityGraph +import com.twitter.util.Duration +import com.twitter.util.Throw + +object UserTweetEntityGraphClientModule + extends ThriftMethodBuilderClientModule[ + UserTweetEntityGraph.ServicePerEndpoint, + UserTweetEntityGraph.MethodPerEndpoint + ] + with MtlsClient { + + override val label = "user-tweet-entity-graph" + override val dest = "/s/cassowary/user_tweet_entity_graph" + private val userTweetEntityGraphClientTimeout: Flag[Duration] = + flag[Duration](UtegClientTimeoutFlagName, "user tweet entity graph client timeout") + override def requestTimeout: Duration = userTweetEntityGraphClientTimeout() + + override def retryBudget: RetryBudget = RetryBudget.Empty + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = + super + .configureThriftMuxClient(injector, client) + .withStatsReceiver(injector.instance[StatsReceiver].scope("clnt")) + .withResponseClassifier { + case ReqRep(_, Throw(_: ClientDiscardedRequestException)) => ResponseClass.Ignorable + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetGraphClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetGraphClientModule.scala new file mode 100644 index 000000000..572786fd1 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetGraphClientModule.scala @@ -0,0 +1,43 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.app.Flag +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.service.ReqRep +import com.twitter.finagle.service.ResponseClass +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.recos.user_tweet_graph.thriftscala.UserTweetGraph +import com.twitter.util.Duration +import com.twitter.util.Throw +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.UserTweetGraphClientTimeoutFlagName +import com.twitter.finagle.service.RetryBudget + +object UserTweetGraphClientModule + extends ThriftMethodBuilderClientModule[ + UserTweetGraph.ServicePerEndpoint, + UserTweetGraph.MethodPerEndpoint + ] + with MtlsClient { + + override val label = "user-tweet-graph" + override val dest = "/s/user-tweet-graph/user-tweet-graph" + private val userTweetGraphClientTimeout: Flag[Duration] = + flag[Duration](UserTweetGraphClientTimeoutFlagName, "userTweetGraph client timeout") + override def requestTimeout: Duration = userTweetGraphClientTimeout() + + override def retryBudget: RetryBudget = RetryBudget.Empty + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = + super + .configureThriftMuxClient(injector, client) + .withStatsReceiver(injector.instance[StatsReceiver].scope("clnt")) + .withResponseClassifier { + case ReqRep(_, Throw(_: ClientDiscardedRequestException)) => ResponseClass.Ignorable + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetGraphPlusClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetGraphPlusClientModule.scala new file mode 100644 index 000000000..41ae96e53 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserTweetGraphPlusClientModule.scala @@ -0,0 +1,46 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.app.Flag +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.UserTweetGraphPlusClientTimeoutFlagName +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.service.ReqRep +import com.twitter.finagle.service.ResponseClass +import com.twitter.finagle.service.RetryBudget +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.recos.user_tweet_graph_plus.thriftscala.UserTweetGraphPlus +import com.twitter.util.Duration +import com.twitter.util.Throw + +object UserTweetGraphPlusClientModule + extends ThriftMethodBuilderClientModule[ + UserTweetGraphPlus.ServicePerEndpoint, + UserTweetGraphPlus.MethodPerEndpoint + ] + with MtlsClient { + + override val label = "user-tweet-graph-plus" + override val dest = "/s/user-tweet-graph/user-tweet-graph-plus" + private val userTweetGraphPlusClientTimeout: Flag[Duration] = + flag[Duration]( + UserTweetGraphPlusClientTimeoutFlagName, + "userTweetGraphPlus client timeout" + ) + override def requestTimeout: Duration = userTweetGraphPlusClientTimeout() + + override def retryBudget: RetryBudget = RetryBudget.Empty + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = + super + .configureThriftMuxClient(injector, client) + .withStatsReceiver(injector.instance[StatsReceiver].scope("clnt")) + .withResponseClassifier { + case ReqRep(_, Throw(_: ClientDiscardedRequestException)) => ResponseClass.Ignorable + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserVideoGraphClientModule.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserVideoGraphClientModule.scala new file mode 100644 index 000000000..7c311cbfa --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/module/thrift_client/UserVideoGraphClientModule.scala @@ -0,0 +1,46 @@ +package com.twitter.cr_mixer.module.thrift_client + +import com.twitter.app.Flag +import com.twitter.cr_mixer.module.core.TimeoutConfigModule.UserVideoGraphClientTimeoutFlagName +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.service.ReqRep +import com.twitter.finagle.service.ResponseClass +import com.twitter.finagle.service.RetryBudget +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.recos.user_video_graph.thriftscala.UserVideoGraph +import com.twitter.util.Duration +import com.twitter.util.Throw + +object UserVideoGraphClientModule + extends ThriftMethodBuilderClientModule[ + UserVideoGraph.ServicePerEndpoint, + UserVideoGraph.MethodPerEndpoint + ] + with MtlsClient { + + override val label = "user-video-graph" + override val dest = "/s/user-tweet-graph/user-video-graph" + private val userVideoGraphClientTimeout: Flag[Duration] = + flag[Duration]( + UserVideoGraphClientTimeoutFlagName, + "userVideoGraph client timeout" + ) + override def requestTimeout: Duration = userVideoGraphClientTimeout() + + override def retryBudget: RetryBudget = RetryBudget.Empty + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = + super + .configureThriftMuxClient(injector, client) + .withStatsReceiver(injector.instance[StatsReceiver].scope("clnt")) + .withResponseClassifier { + case ReqRep(_, Throw(_: ClientDiscardedRequestException)) => ResponseClass.Ignorable + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/AdsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/AdsParams.scala new file mode 100644 index 000000000..880f1b27c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/AdsParams.scala @@ -0,0 +1,64 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object AdsParams { + object AdsCandidateGenerationMaxCandidatesNumParam + extends FSBoundedParam[Int]( + name = "ads_candidate_generation_max_candidates_num", + default = 400, + min = 0, + max = 2000 + ) + + object EnableScoreBoost + extends FSParam[Boolean]( + name = "ads_candidate_generation_enable_score_boost", + default = false + ) + + object AdsCandidateGenerationScoreBoostFactor + extends FSBoundedParam[Double]( + name = "ads_candidate_generation_score_boost_factor", + default = 10000.0, + min = 1.0, + max = 100000.0 + ) + + object EnableScribe + extends FSParam[Boolean]( + name = "ads_candidate_generation_enable_scribe", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + AdsCandidateGenerationMaxCandidatesNumParam, + EnableScoreBoost, + AdsCandidateGenerationScoreBoostFactor + ) + + lazy val config: BaseConfig = { + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + AdsCandidateGenerationMaxCandidatesNumParam) + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableScoreBoost, + EnableScribe + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(AdsCandidateGenerationScoreBoostFactor) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BUILD new file mode 100644 index 000000000..b24a21394 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BUILD @@ -0,0 +1,27 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "abdecider/src/main/scala", + "configapi/configapi-abdecider", + "configapi/configapi-core", + "configapi/configapi-featureswitches:v2", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "discovery-common/src/main/scala/com/twitter/discovery/common/configapi", + "featureswitches/featureswitches-core", + "featureswitches/featureswitches-core/src/main/scala/com/twitter/featureswitches/v2/builder", + "finagle-internal/mtls/src/main/scala/com/twitter/finagle/mtls/authentication", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "scribelib/marshallers/src/main/scala/com/twitter/scribelib/marshallers", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "user-signal-service/thrift/src/main/thrift:thrift-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BlenderParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BlenderParams.scala new file mode 100644 index 000000000..185fc4440 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BlenderParams.scala @@ -0,0 +1,152 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object BlenderParams { + object BlendingAlgorithmEnum extends Enumeration { + val RoundRobin: Value = Value + val SourceTypeBackFill: Value = Value + val SourceSignalSorting: Value = Value + } + object ContentBasedSortingAlgorithmEnum extends Enumeration { + val FavoriteCount: Value = Value + val SourceSignalRecency: Value = Value + val RandomSorting: Value = Value + val SimilarityToSignalSorting: Value = Value + val CandidateRecency: Value = Value + } + + object BlendingAlgorithmParam + extends FSEnumParam[BlendingAlgorithmEnum.type]( + name = "blending_algorithm_id", + default = BlendingAlgorithmEnum.RoundRobin, + enum = BlendingAlgorithmEnum + ) + + object RankingInterleaveWeightShrinkageParam + extends FSBoundedParam[Double]( + name = "blending_enable_ml_ranking_interleave_weights_shrinkage", + default = 1.0, + min = 0.0, + max = 1.0 + ) + + object RankingInterleaveMaxWeightAdjustments + extends FSBoundedParam[Int]( + name = "blending_interleave_max_weighted_adjustments", + default = 3000, + min = 0, + max = 9999 + ) + + object SignalTypeSortingAlgorithmParam + extends FSEnumParam[ContentBasedSortingAlgorithmEnum.type]( + name = "blending_algorithm_inner_signal_sorting_id", + default = ContentBasedSortingAlgorithmEnum.SourceSignalRecency, + enum = ContentBasedSortingAlgorithmEnum + ) + + object ContentBlenderTypeSortingAlgorithmParam + extends FSEnumParam[ContentBasedSortingAlgorithmEnum.type]( + name = "blending_algorithm_content_blender_sorting_id", + default = ContentBasedSortingAlgorithmEnum.FavoriteCount, + enum = ContentBasedSortingAlgorithmEnum + ) + + //UserAffinities Algo Param: whether to distributed the source type weights + object EnableDistributedSourceTypeWeightsParam + extends FSParam[Boolean]( + name = "blending_algorithm_enable_distributed_source_type_weights", + default = false + ) + + object BlendGroupingMethodEnum extends Enumeration { + val SourceKeyDefault: Value = Value("SourceKey") + val SourceTypeSimilarityEngine: Value = Value("SourceTypeSimilarityEngine") + val AuthorId: Value = Value("AuthorId") + } + + object BlendGroupingMethodParam + extends FSEnumParam[BlendGroupingMethodEnum.type]( + name = "blending_grouping_method_id", + default = BlendGroupingMethodEnum.SourceKeyDefault, + enum = BlendGroupingMethodEnum + ) + + object RecencyBasedRandomSamplingHalfLifeInDays + extends FSBoundedParam[Int]( + name = "blending_interleave_random_sampling_recency_based_half_life_in_days", + default = 7, + min = 1, + max = 28 + ) + + object RecencyBasedRandomSamplingDefaultWeight + extends FSBoundedParam[Double]( + name = "blending_interleave_random_sampling_recency_based_default_weight", + default = 1.0, + min = 0.1, + max = 2.0 + ) + + object SourceTypeBackFillEnableVideoBackFill + extends FSParam[Boolean]( + name = "blending_enable_video_backfill", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + BlendingAlgorithmParam, + RankingInterleaveWeightShrinkageParam, + RankingInterleaveMaxWeightAdjustments, + EnableDistributedSourceTypeWeightsParam, + BlendGroupingMethodParam, + RecencyBasedRandomSamplingHalfLifeInDays, + RecencyBasedRandomSamplingDefaultWeight, + SourceTypeBackFillEnableVideoBackFill, + SignalTypeSortingAlgorithmParam, + ContentBlenderTypeSortingAlgorithmParam, + ) + + lazy val config: BaseConfig = { + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + BlendingAlgorithmParam, + BlendGroupingMethodParam, + SignalTypeSortingAlgorithmParam, + ContentBlenderTypeSortingAlgorithmParam + ) + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableDistributedSourceTypeWeightsParam, + SourceTypeBackFillEnableVideoBackFill + ) + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + RankingInterleaveMaxWeightAdjustments, + RecencyBasedRandomSamplingHalfLifeInDays + ) + + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides( + RankingInterleaveWeightShrinkageParam, + RecencyBasedRandomSamplingDefaultWeight + ) + + BaseConfigBuilder() + .set(enumOverrides: _*) + .set(booleanOverrides: _*) + .set(intOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BypassInterleaveAndRankParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BypassInterleaveAndRankParams.scala new file mode 100644 index 000000000..20cbc369a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/BypassInterleaveAndRankParams.scala @@ -0,0 +1,98 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object BypassInterleaveAndRankParams { + object EnableTwhinCollabFilterBypassParam + extends FSParam[Boolean]( + name = "bypass_interleave_and_rank_twhin_collab_filter", + default = false + ) + + object EnableTwoTowerBypassParam + extends FSParam[Boolean]( + name = "bypass_interleave_and_rank_two_tower", + default = false + ) + + object EnableConsumerBasedTwhinBypassParam + extends FSParam[Boolean]( + name = "bypass_interleave_and_rank_consumer_based_twhin", + default = false + ) + + object EnableConsumerBasedWalsBypassParam + extends FSParam[Boolean]( + name = "bypass_interleave_and_rank_consumer_based_wals", + default = false + ) + + object TwhinCollabFilterBypassPercentageParam + extends FSBoundedParam[Double]( + name = "bypass_interleave_and_rank_twhin_collab_filter_percentage", + default = 0.0, + min = 0.0, + max = 1.0 + ) + + object TwoTowerBypassPercentageParam + extends FSBoundedParam[Double]( + name = "bypass_interleave_and_rank_two_tower_percentage", + default = 0.0, + min = 0.0, + max = 1.0 + ) + + object ConsumerBasedTwhinBypassPercentageParam + extends FSBoundedParam[Double]( + name = "bypass_interleave_and_rank_consumer_based_twhin_percentage", + default = 0.0, + min = 0.0, + max = 1.0 + ) + + object ConsumerBasedWalsBypassPercentageParam + extends FSBoundedParam[Double]( + name = "bypass_interleave_and_rank_consumer_based_wals_percentage", + default = 0.0, + min = 0.0, + max = 1.0 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableTwhinCollabFilterBypassParam, + EnableTwoTowerBypassParam, + EnableConsumerBasedTwhinBypassParam, + EnableConsumerBasedWalsBypassParam, + TwhinCollabFilterBypassPercentageParam, + TwoTowerBypassPercentageParam, + ConsumerBasedTwhinBypassPercentageParam, + ConsumerBasedWalsBypassPercentageParam, + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableTwhinCollabFilterBypassParam, + EnableTwoTowerBypassParam, + EnableConsumerBasedTwhinBypassParam, + EnableConsumerBasedWalsBypassParam, + ) + + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides( + TwhinCollabFilterBypassPercentageParam, + TwoTowerBypassPercentageParam, + ConsumerBasedTwhinBypassPercentageParam, + ConsumerBasedWalsBypassPercentageParam, + ) + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerBasedWalsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerBasedWalsParams.scala new file mode 100644 index 000000000..15f4d36ab --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerBasedWalsParams.scala @@ -0,0 +1,96 @@ +package com.twitter.cr_mixer.param + +import com.twitter.conversions.DurationOps.richDurationFromInt +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +object ConsumerBasedWalsParams { + + object EnableSourceParam + extends FSParam[Boolean]( + name = "consumer_based_wals_enable_source", + default = false + ) + + object ModelNameParam + extends FSParam[String]( + name = "consumer_based_wals_model_name", + default = "model_0" + ) + + object WilyNsNameParam + extends FSParam[String]( + name = "consumer_based_wals_wily_ns_name", + default = "" + ) + + object ModelInputNameParam + extends FSParam[String]( + name = "consumer_based_wals_model_input_name", + default = "examples" + ) + + object ModelOutputNameParam + extends FSParam[String]( + name = "consumer_based_wals_model_output_name", + default = "all_tweet_ids" + ) + + object ModelSignatureNameParam + extends FSParam[String]( + name = "consumer_based_wals_model_signature_name", + default = "serving_default" + ) + + object MaxTweetSignalAgeHoursParam + extends FSBoundedParam[Duration]( + name = "consumer_based_wals_max_tweet_signal_age_hours", + default = 72.hours, + min = 1.hours, + max = 720.hours + ) + with HasDurationConversion { + + override val durationConversion: DurationConversion = DurationConversion.FromHours + } + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + ModelNameParam, + ModelInputNameParam, + ModelOutputNameParam, + ModelSignatureNameParam, + MaxTweetSignalAgeHoursParam, + WilyNsNameParam, + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam, + ) + val stringOverrides = FeatureSwitchOverrideUtil.getStringFSOverrides( + ModelNameParam, + ModelInputNameParam, + ModelOutputNameParam, + ModelSignatureNameParam, + WilyNsNameParam + ) + + val boundedDurationFSOverrides = + FeatureSwitchOverrideUtil.getBoundedDurationFSOverrides(MaxTweetSignalAgeHoursParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(stringOverrides: _*) + .set(boundedDurationFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedCandidateGenerationParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedCandidateGenerationParams.scala new file mode 100644 index 000000000..bedbaf0b9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedCandidateGenerationParams.scala @@ -0,0 +1,55 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object ConsumerEmbeddingBasedCandidateGenerationParams { + + object EnableTwHINParam + extends FSParam[Boolean]( + name = "consumer_embedding_based_candidate_generation_enable_twhin", + default = false + ) + + object EnableTwoTowerParam + extends FSParam[Boolean]( + name = "consumer_embedding_based_candidate_generation_enable_two_tower", + default = false + ) + + object EnableLogFavBasedSimClustersTripParam + extends FSParam[Boolean]( + name = "consumer_embedding_based_candidate_generation_enable_logfav_based_simclusters_trip", + default = false + ) + + object EnableFollowBasedSimClustersTripParam + extends FSParam[Boolean]( + name = "consumer_embedding_based_candidate_generation_enable_follow_based_simclusters_trip", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableTwHINParam, + EnableTwoTowerParam, + EnableFollowBasedSimClustersTripParam, + EnableLogFavBasedSimClustersTripParam + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableTwHINParam, + EnableTwoTowerParam, + EnableFollowBasedSimClustersTripParam, + EnableLogFavBasedSimClustersTripParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTripParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTripParams.scala new file mode 100644 index 000000000..4b43d42ab --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTripParams.scala @@ -0,0 +1,46 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object ConsumerEmbeddingBasedTripParams { + object SourceIdParam + extends FSParam[String]( + name = "consumer_embedding_based_trip_source_id", + default = "EXPLR_TOPK_VID_48H_V3") + + object MaxNumCandidatesParam + extends FSBoundedParam[Int]( + name = "consumer_embedding_based_trip_max_num_candidates", + default = 80, + min = 0, + max = 200 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + SourceIdParam, + MaxNumCandidatesParam + ) + + lazy val config: BaseConfig = { + val stringFSOverrides = + FeatureSwitchOverrideUtil.getStringFSOverrides( + SourceIdParam + ) + + val intFSOverrides = + FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxNumCandidatesParam + ) + + BaseConfigBuilder() + .set(stringFSOverrides: _*) + .set(intFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTwHINParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTwHINParams.scala new file mode 100644 index 000000000..bda14d5d4 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTwHINParams.scala @@ -0,0 +1,33 @@ +package com.twitter.cr_mixer.param + +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param + +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil + +object ConsumerEmbeddingBasedTwHINParams { + object ModelIdParam + extends FSParam[String]( + name = "consumer_embedding_based_twhin_model_id", + default = ModelConfig.ConsumerBasedTwHINRegularUpdateAll20221024, + ) // Note: this default value does not match with ModelIds yet. This FS is a placeholder + + val AllParams: Seq[Param[_] with FSName] = Seq( + ModelIdParam + ) + + lazy val config: BaseConfig = { + val stringFSOverrides = + FeatureSwitchOverrideUtil.getStringFSOverrides( + ModelIdParam + ) + + BaseConfigBuilder() + .set(stringFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTwoTowerParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTwoTowerParams.scala new file mode 100644 index 000000000..2a6474adc --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumerEmbeddingBasedTwoTowerParams.scala @@ -0,0 +1,32 @@ +package com.twitter.cr_mixer.param + +import com.twitter.cr_mixer.model.ModelConfig.TwoTowerFavALL20220808 +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object ConsumerEmbeddingBasedTwoTowerParams { + object ModelIdParam + extends FSParam[String]( + name = "consumer_embedding_based_two_tower_model_id", + default = TwoTowerFavALL20220808, + ) // Note: this default value does not match with ModelIds yet. This FS is a placeholder + + val AllParams: Seq[Param[_] with FSName] = Seq( + ModelIdParam + ) + + lazy val config: BaseConfig = { + val stringFSOverrides = + FeatureSwitchOverrideUtil.getStringFSOverrides( + ModelIdParam + ) + + BaseConfigBuilder() + .set(stringFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserAdGraphParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserAdGraphParams.scala new file mode 100644 index 000000000..a730e0994 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserAdGraphParams.scala @@ -0,0 +1,54 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object ConsumersBasedUserAdGraphParams { + + object EnableSourceParam + extends FSParam[Boolean]( + name = "consumers_based_user_ad_graph_enable_source", + default = false + ) + + // UTG-Lookalike + object MinCoOccurrenceParam + extends FSBoundedParam[Int]( + name = "consumers_based_user_ad_graph_min_co_occurrence", + default = 2, + min = 0, + max = 500 + ) + + object MinScoreParam + extends FSBoundedParam[Double]( + name = "consumers_based_user_ad_graph_min_score", + default = 0.0, + min = 0.0, + max = 10.0 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + MinCoOccurrenceParam, + MinScoreParam + ) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides(MinCoOccurrenceParam) + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(MinScoreParam) + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides(EnableSourceParam) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserTweetGraphParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserTweetGraphParams.scala new file mode 100644 index 000000000..47c67887f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserTweetGraphParams.scala @@ -0,0 +1,44 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +/** + * ConsumersBasedUserTweetGraph Params, there are multiple ways (e.g. FRS, RealGraphOon) to generate consumersSeedSet for ConsumersBasedUserTweetGraph + * for now we allow flexibility in tuning UTG params for different consumersSeedSet generation algo by giving the param name {consumerSeedSetAlgo}{ParamName} + */ + +object ConsumersBasedUserTweetGraphParams { + + object EnableSourceParam + extends FSParam[Boolean]( + name = "consumers_based_user_tweet_graph_enable_source", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + ) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides() + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides() + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserVideoGraphParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserVideoGraphParams.scala new file mode 100644 index 000000000..ab0133632 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ConsumersBasedUserVideoGraphParams.scala @@ -0,0 +1,65 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +/** + * ConsumersBasedUserVideoGraph Params: there are multiple ways (e.g. FRS, RealGraphIn) to generate consumersSeedSet for ConsumersBasedUserTweetGraph + * for now we allow flexibility in tuning UVG params for different consumersSeedSet generation algo by giving the param name {consumerSeedSetAlgo}{ParamName} + */ + +object ConsumersBasedUserVideoGraphParams { + + object EnableSourceParam + extends FSParam[Boolean]( + name = "consumers_based_user_video_graph_enable_source", + default = false + ) + + // UTG-RealGraphIN + object RealGraphInMinCoOccurrenceParam + extends FSBoundedParam[Int]( + name = "consumers_based_user_video_graph_real_graph_in_min_co_occurrence", + default = 3, + min = 0, + max = 500 + ) + + object RealGraphInMinScoreParam + extends FSBoundedParam[Double]( + name = "consumers_based_user_video_graph_real_graph_in_min_score", + default = 2.0, + min = 0.0, + max = 10.0 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + RealGraphInMinCoOccurrenceParam, + RealGraphInMinScoreParam + ) + + lazy val config: BaseConfig = { + + val intOverrides = + FeatureSwitchOverrideUtil.getBoundedIntFSOverrides(RealGraphInMinCoOccurrenceParam) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(RealGraphInMinScoreParam) + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CrMixerParamConfig.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CrMixerParamConfig.scala new file mode 100644 index 000000000..ada50d965 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CrMixerParamConfig.scala @@ -0,0 +1,122 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.CompositeConfig +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param + +object CrMixerParamConfig { + + lazy val config: CompositeConfig = new CompositeConfig( + configs = Seq( + AdsParams.config, + BlenderParams.config, + BypassInterleaveAndRankParams.config, + RankerParams.config, + ConsumerBasedWalsParams.config, + ConsumerEmbeddingBasedCandidateGenerationParams.config, + ConsumerEmbeddingBasedTripParams.config, + ConsumerEmbeddingBasedTwHINParams.config, + ConsumerEmbeddingBasedTwoTowerParams.config, + ConsumersBasedUserAdGraphParams.config, + ConsumersBasedUserTweetGraphParams.config, + ConsumersBasedUserVideoGraphParams.config, + CustomizedRetrievalBasedCandidateGenerationParams.config, + CustomizedRetrievalBasedOfflineInterestedInParams.config, + CustomizedRetrievalBasedFTROfflineInterestedInParams.config, + CustomizedRetrievalBasedTwhinParams.config, + EarlybirdFrsBasedCandidateGenerationParams.config, + FrsParams.config, + GlobalParams.config, + InterestedInParams.config, + ProducerBasedCandidateGenerationParams.config, + ProducerBasedUserAdGraphParams.config, + ProducerBasedUserTweetGraphParams.config, + RecentFollowsParams.config, + RecentNegativeSignalParams.config, + RecentNotificationsParams.config, + RecentOriginalTweetsParams.config, + RecentReplyTweetsParams.config, + RecentRetweetsParams.config, + RecentTweetFavoritesParams.config, + RelatedTweetGlobalParams.config, + RelatedVideoTweetGlobalParams.config, + RelatedTweetProducerBasedParams.config, + RelatedTweetTweetBasedParams.config, + RelatedVideoTweetTweetBasedParams.config, + RealGraphInParams.config, + RealGraphOonParams.config, + RepeatedProfileVisitsParams.config, + SimClustersANNParams.config, + TopicTweetParams.config, + TweetBasedCandidateGenerationParams.config, + TweetBasedUserAdGraphParams.config, + TweetBasedUserTweetGraphParams.config, + TweetBasedUserVideoGraphParams.config, + TweetSharesParams.config, + TweetBasedTwHINParams.config, + RealGraphOonParams.config, + GoodTweetClickParams.config, + GoodProfileClickParams.config, + UtegTweetGlobalParams.config, + VideoTweetFilterParams.config, + VideoViewTweetsParams.config, + UnifiedUSSSignalParams.config, + ), + simpleName = "CrMixerConfig" + ) + + val allParams: Seq[Param[_] with FSName] = { + AdsParams.AllParams ++ + BlenderParams.AllParams ++ + BypassInterleaveAndRankParams.AllParams ++ + RankerParams.AllParams ++ + ConsumerBasedWalsParams.AllParams ++ + ConsumerEmbeddingBasedCandidateGenerationParams.AllParams ++ + ConsumerEmbeddingBasedTripParams.AllParams ++ + ConsumerEmbeddingBasedTwHINParams.AllParams ++ + ConsumerEmbeddingBasedTwoTowerParams.AllParams ++ + ConsumersBasedUserAdGraphParams.AllParams ++ + ConsumersBasedUserTweetGraphParams.AllParams ++ + ConsumersBasedUserVideoGraphParams.AllParams ++ + CustomizedRetrievalBasedCandidateGenerationParams.AllParams ++ + CustomizedRetrievalBasedOfflineInterestedInParams.AllParams ++ + CustomizedRetrievalBasedFTROfflineInterestedInParams.AllParams ++ + CustomizedRetrievalBasedTwhinParams.AllParams ++ + EarlybirdFrsBasedCandidateGenerationParams.AllParams ++ + FrsParams.AllParams ++ + GlobalParams.AllParams ++ + InterestedInParams.AllParams ++ + ProducerBasedCandidateGenerationParams.AllParams ++ + ProducerBasedUserAdGraphParams.AllParams ++ + ProducerBasedUserTweetGraphParams.AllParams ++ + RecentFollowsParams.AllParams ++ + RecentNegativeSignalParams.AllParams ++ + RecentNotificationsParams.AllParams ++ + RecentOriginalTweetsParams.AllParams ++ + RecentReplyTweetsParams.AllParams ++ + RecentRetweetsParams.AllParams ++ + RecentTweetFavoritesParams.AllParams ++ + RelatedTweetGlobalParams.AllParams ++ + RelatedVideoTweetGlobalParams.AllParams ++ + RelatedTweetProducerBasedParams.AllParams ++ + RelatedTweetTweetBasedParams.AllParams ++ + RelatedVideoTweetTweetBasedParams.AllParams ++ + RepeatedProfileVisitsParams.AllParams ++ + SimClustersANNParams.AllParams ++ + TopicTweetParams.AllParams ++ + TweetBasedCandidateGenerationParams.AllParams ++ + TweetBasedUserAdGraphParams.AllParams ++ + TweetBasedUserTweetGraphParams.AllParams ++ + TweetBasedUserVideoGraphParams.AllParams ++ + TweetSharesParams.AllParams ++ + TweetBasedTwHINParams.AllParams ++ + RealGraphOonParams.AllParams ++ + RealGraphInParams.AllParams ++ + GoodTweetClickParams.AllParams ++ + GoodProfileClickParams.AllParams ++ + UtegTweetGlobalParams.AllParams ++ + VideoTweetFilterParams.AllParams ++ + VideoViewTweetsParams.AllParams ++ + UnifiedUSSSignalParams.AllParams + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedCandidateGenerationParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedCandidateGenerationParams.scala new file mode 100644 index 000000000..966048b0f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedCandidateGenerationParams.scala @@ -0,0 +1,81 @@ +package com.twitter.cr_mixer.param + +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object CustomizedRetrievalBasedCandidateGenerationParams { + + // Offline SimClusters InterestedIn params + object EnableOfflineInterestedInParam + extends FSParam[Boolean]( + name = "customized_retrieval_based_candidate_generation_enable_offline_interestedin", + default = false + ) + + // Offline SimClusters FTR-based InterestedIn + object EnableOfflineFTRInterestedInParam + extends FSParam[Boolean]( + name = "customized_retrieval_based_candidate_generation_enable_ftr_offline_interestedin", + default = false + ) + + // TwHin Collab Filter Cluster params + object EnableTwhinCollabFilterClusterParam + extends FSParam[Boolean]( + name = "customized_retrieval_based_candidate_generation_enable_twhin_collab_filter_cluster", + default = false + ) + + // TwHin Multi Cluster params + object EnableTwhinMultiClusterParam + extends FSParam[Boolean]( + name = "customized_retrieval_based_candidate_generation_enable_twhin_multi_cluster", + default = false + ) + + object EnableRetweetBasedDiffusionParam + extends FSParam[Boolean]( + name = "customized_retrieval_based_candidate_generation_enable_retweet_based_diffusion", + default = false + ) + object CustomizedRetrievalBasedRetweetDiffusionSource + extends FSParam[String]( + name = + "customized_retrieval_based_candidate_generation_offline_retweet_based_diffusion_model_id", + default = ModelConfig.RetweetBasedDiffusion + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableOfflineInterestedInParam, + EnableOfflineFTRInterestedInParam, + EnableTwhinCollabFilterClusterParam, + EnableTwhinMultiClusterParam, + EnableRetweetBasedDiffusionParam, + CustomizedRetrievalBasedRetweetDiffusionSource + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableOfflineInterestedInParam, + EnableOfflineFTRInterestedInParam, + EnableTwhinCollabFilterClusterParam, + EnableTwhinMultiClusterParam, + EnableRetweetBasedDiffusionParam + ) + + val stringFSOverrides = + FeatureSwitchOverrideUtil.getStringFSOverrides( + CustomizedRetrievalBasedRetweetDiffusionSource + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(stringFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedFTROfflineInterestedInParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedFTROfflineInterestedInParams.scala new file mode 100644 index 000000000..d6d1b0430 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedFTROfflineInterestedInParams.scala @@ -0,0 +1,31 @@ +package com.twitter.cr_mixer.param +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object CustomizedRetrievalBasedFTROfflineInterestedInParams { + object CustomizedRetrievalBasedFTROfflineInterestedInSource + extends FSParam[String]( + name = "customized_retrieval_based_ftr_offline_interestedin_model_id", + default = ModelConfig.OfflineFavDecayedSum + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + CustomizedRetrievalBasedFTROfflineInterestedInSource) + + lazy val config: BaseConfig = { + + val stringFSOverrides = + FeatureSwitchOverrideUtil.getStringFSOverrides( + CustomizedRetrievalBasedFTROfflineInterestedInSource + ) + + BaseConfigBuilder() + .set(stringFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedOfflineInterestedInParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedOfflineInterestedInParams.scala new file mode 100644 index 000000000..d5244e135 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedOfflineInterestedInParams.scala @@ -0,0 +1,33 @@ +package com.twitter.cr_mixer.param + +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object CustomizedRetrievalBasedOfflineInterestedInParams { + + // Model slots available for offline InterestedIn candidate generation + object CustomizedRetrievalBasedOfflineInterestedInSource + extends FSParam[String]( + name = "customized_retrieval_based_offline_interestedin_model_id", + default = ModelConfig.OfflineInterestedInFromKnownFor2020 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(CustomizedRetrievalBasedOfflineInterestedInSource) + + lazy val config: BaseConfig = { + + val stringFSOverrides = + FeatureSwitchOverrideUtil.getStringFSOverrides( + CustomizedRetrievalBasedOfflineInterestedInSource + ) + + BaseConfigBuilder() + .set(stringFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedTwhinParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedTwhinParams.scala new file mode 100644 index 000000000..646cdb163 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/CustomizedRetrievalBasedTwhinParams.scala @@ -0,0 +1,60 @@ +package com.twitter.cr_mixer.param + +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object CustomizedRetrievalBasedTwhinParams { + + // Model slots available for TwhinCollab and MultiCluster + object CustomizedRetrievalBasedTwhinCollabFilterFollowSource + extends FSParam[String]( + name = "customized_retrieval_based_offline_twhin_collab_filter_follow_model_id", + default = ModelConfig.TwhinCollabFilterForFollow + ) + + object CustomizedRetrievalBasedTwhinCollabFilterEngagementSource + extends FSParam[String]( + name = "customized_retrieval_based_offline_twhin_collab_filter_engagement_model_id", + default = ModelConfig.TwhinCollabFilterForEngagement + ) + + object CustomizedRetrievalBasedTwhinMultiClusterFollowSource + extends FSParam[String]( + name = "customized_retrieval_based_offline_twhin_multi_cluster_follow_model_id", + default = ModelConfig.TwhinMultiClusterForFollow + ) + + object CustomizedRetrievalBasedTwhinMultiClusterEngagementSource + extends FSParam[String]( + name = "customized_retrieval_based_offline_twhin_multi_cluster_engagement_model_id", + default = ModelConfig.TwhinMultiClusterForEngagement + ) + + val AllParams: Seq[Param[_] with FSName] = + Seq( + CustomizedRetrievalBasedTwhinCollabFilterFollowSource, + CustomizedRetrievalBasedTwhinCollabFilterEngagementSource, + CustomizedRetrievalBasedTwhinMultiClusterFollowSource, + CustomizedRetrievalBasedTwhinMultiClusterEngagementSource, + ) + + lazy val config: BaseConfig = { + + val stringFSOverrides = + FeatureSwitchOverrideUtil.getStringFSOverrides( + CustomizedRetrievalBasedTwhinCollabFilterFollowSource, + CustomizedRetrievalBasedTwhinCollabFilterEngagementSource, + CustomizedRetrievalBasedTwhinMultiClusterFollowSource, + CustomizedRetrievalBasedTwhinMultiClusterEngagementSource, + ) + + BaseConfigBuilder() + .set(stringFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/EarlybirdFrsBasedCandidateGenerationParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/EarlybirdFrsBasedCandidateGenerationParams.scala new file mode 100644 index 000000000..2a9ffb424 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/EarlybirdFrsBasedCandidateGenerationParams.scala @@ -0,0 +1,117 @@ +package com.twitter.cr_mixer.param + +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.EarlybirdSimilarityEngineType +import com.twitter.cr_mixer.model.EarlybirdSimilarityEngineType_ModelBased +import com.twitter.cr_mixer.model.EarlybirdSimilarityEngineType_RecencyBased +import com.twitter.cr_mixer.model.EarlybirdSimilarityEngineType_TensorflowBased +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +object EarlybirdFrsBasedCandidateGenerationParams { + object CandidateGenerationEarlybirdSimilarityEngineType extends Enumeration { + protected case class SimilarityEngineType(rankingMode: EarlybirdSimilarityEngineType) + extends super.Val + import scala.language.implicitConversions + implicit def valueToEarlybirdRankingMode(x: Value): SimilarityEngineType = + x.asInstanceOf[SimilarityEngineType] + + val EarlybirdRankingMode_RecencyBased: SimilarityEngineType = SimilarityEngineType( + EarlybirdSimilarityEngineType_RecencyBased) + val EarlybirdRankingMode_ModelBased: SimilarityEngineType = SimilarityEngineType( + EarlybirdSimilarityEngineType_ModelBased) + val EarlybirdRankingMode_TensorflowBased: SimilarityEngineType = SimilarityEngineType( + EarlybirdSimilarityEngineType_TensorflowBased) + } + + object FrsBasedCandidateGenerationEarlybirdSimilarityEngineTypeParam + extends FSEnumParam[CandidateGenerationEarlybirdSimilarityEngineType.type]( + name = "frs_based_candidate_generation_earlybird_ranking_mode_id", + default = + CandidateGenerationEarlybirdSimilarityEngineType.EarlybirdRankingMode_RecencyBased, + enum = CandidateGenerationEarlybirdSimilarityEngineType + ) + + object FrsBasedCandidateGenerationRecencyBasedEarlybirdMaxTweetsPerUser + extends FSBoundedParam[Int]( + name = "frs_based_candidate_generation_earlybird_max_tweets_per_user", + default = 100, + min = 0, + /** + * Note max should be equal to EarlybirdRecencyBasedCandidateStoreModule.DefaultMaxNumTweetPerUser. + * Which is the size of the memcached result list. + */ + max = 100 + ) + + object FrsBasedCandidateGenerationEarlybirdMaxTweetAge + extends FSBoundedParam[Duration]( + name = "frs_based_candidate_generation_earlybird_max_tweet_age_hours", + default = 24.hours, + min = 12.hours, + /** + * Note max could be related to EarlybirdRecencyBasedCandidateStoreModule.DefaultMaxNumTweetPerUser. + * Which is the size of the memcached result list for recency based earlybird candidate source. + * E.g. if max = 720.hours, we may want to increase the DefaultMaxNumTweetPerUser. + */ + max = 96.hours + ) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromHours + } + + object FrsBasedCandidateGenerationEarlybirdFilterOutRetweetsAndReplies + extends FSParam[Boolean]( + name = "frs_based_candidate_generation_earlybird_filter_out_retweets_and_replies", + default = true + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + FrsBasedCandidateGenerationEarlybirdSimilarityEngineTypeParam, + FrsBasedCandidateGenerationRecencyBasedEarlybirdMaxTweetsPerUser, + FrsBasedCandidateGenerationEarlybirdMaxTweetAge, + FrsBasedCandidateGenerationEarlybirdFilterOutRetweetsAndReplies, + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + FrsBasedCandidateGenerationEarlybirdFilterOutRetweetsAndReplies, + ) + + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides() + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + FrsBasedCandidateGenerationRecencyBasedEarlybirdMaxTweetsPerUser + ) + + val durationFSOverrides = + FeatureSwitchOverrideUtil.getDurationFSOverrides( + FrsBasedCandidateGenerationEarlybirdMaxTweetAge + ) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + FrsBasedCandidateGenerationEarlybirdSimilarityEngineTypeParam, + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .set(intOverrides: _*) + .set(enumOverrides: _*) + .set(durationFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/FrsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/FrsParams.scala new file mode 100644 index 000000000..18bf1d474 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/FrsParams.scala @@ -0,0 +1,131 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param +import com.twitter.follow_recommendations.thriftscala.DisplayLocation +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.logging.Logger +import com.twitter.finagle.stats.NullStatsReceiver + +object FrsParams { + object EnableSourceParam + extends FSParam[Boolean]( + name = "signal_frs_enable_source", + default = false + ) + + object EnableSourceGraphParam + extends FSParam[Boolean]( + name = "graph_frs_enable_source", + default = false + ) + + object MinScoreParam + extends FSBoundedParam[Double]( + name = "signal_frs_min_score", + default = 0.4, + min = 0.0, + max = 1.0 + ) + + object MaxConsumerSeedsNumParam + extends FSBoundedParam[Int]( + name = "graph_frs_max_user_seeds_num", + default = 200, + min = 0, + max = 1000 + ) + + /** + * These params below are only used for FrsTweetCandidateGenerator and shouldn't be used in other endpoints + * * FrsBasedCandidateGenerationMaxSeedsNumParam + * * FrsCandidateGenerationDisplayLocationParam + * * FrsCandidateGenerationDisplayLocation + * * FrsBasedCandidateGenerationMaxCandidatesNumParam + */ + object FrsBasedCandidateGenerationEnableVisibilityFilteringParam + extends FSParam[Boolean]( + name = "frs_based_candidate_generation_enable_vf", + default = true + ) + + object FrsBasedCandidateGenerationMaxSeedsNumParam + extends FSBoundedParam[Int]( + name = "frs_based_candidate_generation_max_seeds_num", + default = 100, + min = 0, + max = 800 + ) + + object FrsBasedCandidateGenerationDisplayLocation extends Enumeration { + protected case class FrsDisplayLocationValue(displayLocation: DisplayLocation) extends super.Val + import scala.language.implicitConversions + implicit def valueToDisplayLocationValue(x: Value): FrsDisplayLocationValue = + x.asInstanceOf[FrsDisplayLocationValue] + + val DisplayLocation_ContentRecommender: FrsDisplayLocationValue = FrsDisplayLocationValue( + DisplayLocation.ContentRecommender) + val DisplayLocation_Home: FrsDisplayLocationValue = FrsDisplayLocationValue( + DisplayLocation.HomeTimelineTweetRecs) + val DisplayLocation_Notifications: FrsDisplayLocationValue = FrsDisplayLocationValue( + DisplayLocation.TweetNotificationRecs) + } + + object FrsBasedCandidateGenerationDisplayLocationParam + extends FSEnumParam[FrsBasedCandidateGenerationDisplayLocation.type]( + name = "frs_based_candidate_generation_display_location_id", + default = FrsBasedCandidateGenerationDisplayLocation.DisplayLocation_Home, + enum = FrsBasedCandidateGenerationDisplayLocation + ) + + object FrsBasedCandidateGenerationMaxCandidatesNumParam + extends FSBoundedParam[Int]( + name = "frs_based_candidate_generation_max_candidates_num", + default = 100, + min = 0, + max = 2000 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + EnableSourceGraphParam, + MinScoreParam, + MaxConsumerSeedsNumParam, + FrsBasedCandidateGenerationMaxSeedsNumParam, + FrsBasedCandidateGenerationDisplayLocationParam, + FrsBasedCandidateGenerationMaxCandidatesNumParam, + FrsBasedCandidateGenerationEnableVisibilityFilteringParam + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam, + EnableSourceGraphParam, + FrsBasedCandidateGenerationEnableVisibilityFilteringParam + ) + + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(MinScoreParam) + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxConsumerSeedsNumParam, + FrsBasedCandidateGenerationMaxSeedsNumParam, + FrsBasedCandidateGenerationMaxCandidatesNumParam) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + FrsBasedCandidateGenerationDisplayLocationParam, + ) + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .set(intOverrides: _*) + .set(enumOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GlobalParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GlobalParams.scala new file mode 100644 index 000000000..77def9a2a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GlobalParams.scala @@ -0,0 +1,106 @@ +package com.twitter.cr_mixer.param + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.simclusters_v2.common.ModelVersions +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +/** + * Instantiate Params that do not relate to a specific product. + * The params in this file correspond to config repo file + * [[https://sourcegraph.twitter.biz/config-git.twitter.biz/config/-/blob/features/cr-mixer/main/twistly_core.yml]] + */ +object GlobalParams { + + object MaxCandidatesPerRequestParam + extends FSBoundedParam[Int]( + name = "twistly_core_max_candidates_per_request", + default = 100, + min = 0, + max = 9000 + ) + + object ModelVersionParam + extends FSEnumParam[ModelVersions.Enum.type]( + name = "twistly_core_simclusters_model_version_id", + default = ModelVersions.Enum.Model20M145K2020, + enum = ModelVersions.Enum + ) + + object UnifiedMaxSourceKeyNum + extends FSBoundedParam[Int]( + name = "twistly_core_unified_max_sourcekey_num", + default = 15, + min = 0, + max = 100 + ) + + object MaxCandidateNumPerSourceKeyParam + extends FSBoundedParam[Int]( + name = "twistly_core_candidate_per_sourcekey_max_num", + default = 200, + min = 0, + max = 1000 + ) + + // 1 hours to 30 days + object MaxTweetAgeHoursParam + extends FSBoundedParam[Duration]( + name = "twistly_core_max_tweet_age_hours", + default = 720.hours, + min = 1.hours, + max = 720.hours + ) + with HasDurationConversion { + + override val durationConversion: DurationConversion = DurationConversion.FromHours + } + + val AllParams: Seq[Param[_] with FSName] = Seq( + MaxCandidatesPerRequestParam, + UnifiedMaxSourceKeyNum, + MaxCandidateNumPerSourceKeyParam, + ModelVersionParam, + MaxTweetAgeHoursParam + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides() + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxCandidatesPerRequestParam, + UnifiedMaxSourceKeyNum, + MaxCandidateNumPerSourceKeyParam + ) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + ModelVersionParam + ) + + val boundedDurationFSOverrides = + FeatureSwitchOverrideUtil.getBoundedDurationFSOverrides(MaxTweetAgeHoursParam) + + val seqOverrides = FeatureSwitchOverrideUtil.getLongSeqFSOverrides() + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(intOverrides: _*) + .set(boundedDurationFSOverrides: _*) + .set(enumOverrides: _*) + .set(seqOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GoodProfileClickParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GoodProfileClickParams.scala new file mode 100644 index 000000000..175dccfac --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GoodProfileClickParams.scala @@ -0,0 +1,60 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param +import com.twitter.usersignalservice.thriftscala.SignalType + +object GoodProfileClickParams { + + object ClickMinDwellTimeParam extends Enumeration { + protected case class SignalTypeValue(signalType: SignalType) extends super.Val + import scala.language.implicitConversions + implicit def valueToSignalTypeValue(x: Value): SignalTypeValue = + x.asInstanceOf[SignalTypeValue] + + val TotalDwellTime10s = SignalTypeValue(SignalType.GoodProfileClick) + val TotalDwellTime20s = SignalTypeValue(SignalType.GoodProfileClick20s) + val TotalDwellTime30s = SignalTypeValue(SignalType.GoodProfileClick30s) + + } + + object EnableSourceParam + extends FSParam[Boolean]( + name = "signal_good_profile_clicks_enable_source", + default = false + ) + + object ClickMinDwellTimeType + extends FSEnumParam[ClickMinDwellTimeParam.type]( + name = "signal_good_profile_clicks_min_dwelltime_type_id", + default = ClickMinDwellTimeParam.TotalDwellTime10s, + enum = ClickMinDwellTimeParam + ) + + val AllParams: Seq[Param[_] with FSName] = + Seq(EnableSourceParam, ClickMinDwellTimeType) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + ClickMinDwellTimeType + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(enumOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GoodTweetClickParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GoodTweetClickParams.scala new file mode 100644 index 000000000..949048821 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/GoodTweetClickParams.scala @@ -0,0 +1,75 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param +import com.twitter.usersignalservice.thriftscala.SignalType + +object GoodTweetClickParams { + + object ClickMinDwellTimeParam extends Enumeration { + protected case class SignalTypeValue(signalType: SignalType) extends super.Val + import scala.language.implicitConversions + implicit def valueToSignalTypeValue(x: Value): SignalTypeValue = + x.asInstanceOf[SignalTypeValue] + + val TotalDwellTime2s = SignalTypeValue(SignalType.GoodTweetClick) + val TotalDwellTime5s = SignalTypeValue(SignalType.GoodTweetClick5s) + val TotalDwellTime10s = SignalTypeValue(SignalType.GoodTweetClick10s) + val TotalDwellTime30s = SignalTypeValue(SignalType.GoodTweetClick30s) + + } + + object EnableSourceParam + extends FSParam[Boolean]( + name = "signal_good_tweet_clicks_enable_source", + default = false + ) + + object ClickMinDwellTimeType + extends FSEnumParam[ClickMinDwellTimeParam.type]( + name = "signal_good_tweet_clicks_min_dwelltime_type_id", + default = ClickMinDwellTimeParam.TotalDwellTime2s, + enum = ClickMinDwellTimeParam + ) + + object MaxSignalNumParam + extends FSBoundedParam[Int]( + name = "signal_good_tweet_clicks_max_signal_num", + default = 15, + min = 0, + max = 15 + ) + + val AllParams: Seq[Param[_] with FSName] = + Seq(EnableSourceParam, ClickMinDwellTimeType, MaxSignalNumParam) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + ClickMinDwellTimeType + ) + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxSignalNumParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(enumOverrides: _*) + .set(intOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/InterestedInParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/InterestedInParams.scala new file mode 100644 index 000000000..503469ac3 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/InterestedInParams.scala @@ -0,0 +1,213 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.simclusters_v2.thriftscala.{EmbeddingType => SimClustersEmbeddingType} +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object InterestedInParams { + + object SourceEmbedding extends Enumeration { + protected case class EmbeddingType(embeddingType: SimClustersEmbeddingType) extends super.Val + import scala.language.implicitConversions + implicit def valueToEmbeddingtype(x: Value): EmbeddingType = x.asInstanceOf[EmbeddingType] + + val UserInterestedIn: Value = EmbeddingType(SimClustersEmbeddingType.FilteredUserInterestedIn) + val UnfilteredUserInterestedIn: Value = EmbeddingType( + SimClustersEmbeddingType.UnfilteredUserInterestedIn) + val FromProducerEmbedding: Value = EmbeddingType( + SimClustersEmbeddingType.FilteredUserInterestedInFromPE) + val LogFavBasedUserInterestedInFromAPE: Value = EmbeddingType( + SimClustersEmbeddingType.LogFavBasedUserInterestedInFromAPE) + val FollowBasedUserInterestedInFromAPE: Value = EmbeddingType( + SimClustersEmbeddingType.FollowBasedUserInterestedInFromAPE) + val UserNextInterestedIn: Value = EmbeddingType(SimClustersEmbeddingType.UserNextInterestedIn) + // AddressBook based InterestedIn + val LogFavBasedUserInterestedAverageAddressBookFromIIAPE: Value = EmbeddingType( + SimClustersEmbeddingType.LogFavBasedUserInterestedAverageAddressBookFromIIAPE) + val LogFavBasedUserInterestedMaxpoolingAddressBookFromIIAPE: Value = EmbeddingType( + SimClustersEmbeddingType.LogFavBasedUserInterestedMaxpoolingAddressBookFromIIAPE) + val LogFavBasedUserInterestedBooktypeMaxpoolingAddressBookFromIIAPE: Value = EmbeddingType( + SimClustersEmbeddingType.LogFavBasedUserInterestedBooktypeMaxpoolingAddressBookFromIIAPE) + val LogFavBasedUserInterestedLargestDimMaxpoolingAddressBookFromIIAPE: Value = EmbeddingType( + SimClustersEmbeddingType.LogFavBasedUserInterestedLargestDimMaxpoolingAddressBookFromIIAPE) + val LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE: Value = EmbeddingType( + SimClustersEmbeddingType.LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE) + val LogFavBasedUserInterestedConnectedMaxpoolingAddressBookFromIIAPE: Value = EmbeddingType( + SimClustersEmbeddingType.LogFavBasedUserInterestedConnectedMaxpoolingAddressBookFromIIAPE) + } + + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_interestedin_enable_source", + default = true + ) + + object InterestedInEmbeddingIdParam + extends FSEnumParam[SourceEmbedding.type]( + name = "twistly_interestedin_embedding_id", + default = SourceEmbedding.UnfilteredUserInterestedIn, + enum = SourceEmbedding + ) + + object MinScoreParam + extends FSBoundedParam[Double]( + name = "twistly_interestedin_min_score", + default = 0.072, + min = 0.0, + max = 1.0 + ) + + object EnableSourceSequentialModelParam + extends FSParam[Boolean]( + name = "twistly_interestedin_sequential_model_enable_source", + default = false + ) + + object NextInterestedInEmbeddingIdParam + extends FSEnumParam[SourceEmbedding.type]( + name = "twistly_interestedin_sequential_model_embedding_id", + default = SourceEmbedding.UserNextInterestedIn, + enum = SourceEmbedding + ) + + object MinScoreSequentialModelParam + extends FSBoundedParam[Double]( + name = "twistly_interestedin_sequential_model_min_score", + default = 0.0, + min = 0.0, + max = 1.0 + ) + + object EnableSourceAddressBookParam + extends FSParam[Boolean]( + name = "twistly_interestedin_addressbook_enable_source", + default = false + ) + + object AddressBookInterestedInEmbeddingIdParam + extends FSEnumParam[SourceEmbedding.type]( + name = "twistly_interestedin_addressbook_embedding_id", + default = SourceEmbedding.LogFavBasedUserInterestedLouvainMaxpoolingAddressBookFromIIAPE, + enum = SourceEmbedding + ) + + object MinScoreAddressBookParam + extends FSBoundedParam[Double]( + name = "twistly_interestedin_addressbook_min_score", + default = 0.0, + min = 0.0, + max = 1.0 + ) + + // Prod SimClusters ANN param + // This is used to enable/disable querying of production SANN service. Useful when experimenting + // with replacements to it. + object EnableProdSimClustersANNParam + extends FSParam[Boolean]( + name = "twistly_interestedin_enable_prod_simclusters_ann", + default = true + ) + + // Experimental SimClusters ANN params + object EnableExperimentalSimClustersANNParam + extends FSParam[Boolean]( + name = "twistly_interestedin_enable_experimental_simclusters_ann", + default = false + ) + + // SimClusters ANN 1 cluster params + object EnableSimClustersANN1Param + extends FSParam[Boolean]( + name = "twistly_interestedin_enable_simclusters_ann_1", + default = false + ) + + // SimClusters ANN 2 cluster params + object EnableSimClustersANN2Param + extends FSParam[Boolean]( + name = "twistly_interestedin_enable_simclusters_ann_2", + default = false + ) + + // SimClusters ANN 3 cluster params + object EnableSimClustersANN3Param + extends FSParam[Boolean]( + name = "twistly_interestedin_enable_simclusters_ann_3", + default = false + ) + + // SimClusters ANN 5 cluster params + object EnableSimClustersANN5Param + extends FSParam[Boolean]( + name = "twistly_interestedin_enable_simclusters_ann_5", + default = false + ) + + // SimClusters ANN 4 cluster params + object EnableSimClustersANN4Param + extends FSParam[Boolean]( + name = "twistly_interestedin_enable_simclusters_ann_4", + default = false + ) + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + EnableSourceSequentialModelParam, + EnableSourceAddressBookParam, + EnableProdSimClustersANNParam, + EnableExperimentalSimClustersANNParam, + EnableSimClustersANN1Param, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + MinScoreParam, + MinScoreSequentialModelParam, + MinScoreAddressBookParam, + InterestedInEmbeddingIdParam, + NextInterestedInEmbeddingIdParam, + AddressBookInterestedInEmbeddingIdParam, + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam, + EnableSourceSequentialModelParam, + EnableSourceAddressBookParam, + EnableProdSimClustersANNParam, + EnableExperimentalSimClustersANNParam, + EnableSimClustersANN1Param, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param + ) + + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides( + MinScoreParam, + MinScoreSequentialModelParam, + MinScoreAddressBookParam) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + InterestedInEmbeddingIdParam, + NextInterestedInEmbeddingIdParam, + AddressBookInterestedInEmbeddingIdParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .set(enumOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedCandidateGenerationParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedCandidateGenerationParams.scala new file mode 100644 index 000000000..e9ae7feaa --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedCandidateGenerationParams.scala @@ -0,0 +1,143 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object ProducerBasedCandidateGenerationParams { + // Source params. Not being used. It is always set to true in prod + object EnableSourceParam + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_source", + default = false + ) + + object UtgCombinationMethodParam + extends FSEnumParam[UnifiedSETweetCombinationMethod.type]( + name = "producer_based_candidate_generation_utg_combination_method_id", + default = UnifiedSETweetCombinationMethod.Frontload, + enum = UnifiedSETweetCombinationMethod + ) + + // UTG params + object EnableUTGParam + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_utg", + default = false + ) + + object EnableUAGParam + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_uag", + default = false + ) + + // SimClusters params + object EnableSimClustersANNParam + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_simclusters", + default = true + ) + + // Filter params + object SimClustersMinScoreParam + extends FSBoundedParam[Double]( + name = "producer_based_candidate_generation_filter_simclusters_min_score", + default = 0.7, + min = 0.0, + max = 1.0 + ) + + // Experimental SimClusters ANN params + object EnableExperimentalSimClustersANNParam + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_experimental_simclusters_ann", + default = false + ) + + // SimClusters ANN cluster 1 params + object EnableSimClustersANN1Param + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_simclusters_ann_1", + default = false + ) + + // SimClusters ANN cluster 2 params + object EnableSimClustersANN2Param + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_simclusters_ann_2", + default = false + ) + + // SimClusters ANN cluster 3 params + object EnableSimClustersANN3Param + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_simclusters_ann_3", + default = false + ) + + // SimClusters ANN cluster 5 params + object EnableSimClustersANN5Param + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_simclusters_ann_5", + default = false + ) + + object EnableSimClustersANN4Param + extends FSParam[Boolean]( + name = "producer_based_candidate_generation_enable_simclusters_ann_4", + default = false + ) + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + EnableUAGParam, + EnableUTGParam, + EnableSimClustersANNParam, + EnableSimClustersANN1Param, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam, + SimClustersMinScoreParam, + UtgCombinationMethodParam + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam, + EnableUAGParam, + EnableUTGParam, + EnableSimClustersANNParam, + EnableSimClustersANN1Param, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam + ) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + UtgCombinationMethodParam, + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(SimClustersMinScoreParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .set(enumOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedUserAdGraphParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedUserAdGraphParams.scala new file mode 100644 index 000000000..197db074a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedUserAdGraphParams.scala @@ -0,0 +1,53 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object ProducerBasedUserAdGraphParams { + + object MinCoOccurrenceParam + extends FSBoundedParam[Int]( + name = "producer_based_user_ad_graph_min_co_occurrence", + default = 2, + min = 0, + max = 500 + ) + + object MinScoreParam + extends FSBoundedParam[Double]( + name = "producer_based_user_ad_graph_min_score", + default = 3.0, + min = 0.0, + max = 10.0 + ) + + object MaxNumFollowersParam + extends FSBoundedParam[Int]( + name = "producer_based_user_ad_graph_max_num_followers", + default = 500, + min = 100, + max = 1000 + ) + + val AllParams: Seq[Param[_] with FSName] = + Seq(MinCoOccurrenceParam, MaxNumFollowersParam, MinScoreParam) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MinCoOccurrenceParam, + MaxNumFollowersParam, + ) + + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(MinScoreParam) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedUserTweetGraphParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedUserTweetGraphParams.scala new file mode 100644 index 000000000..0747d0afd --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/ProducerBasedUserTweetGraphParams.scala @@ -0,0 +1,53 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object ProducerBasedUserTweetGraphParams { + + object MinCoOccurrenceParam + extends FSBoundedParam[Int]( + name = "producer_based_user_tweet_graph_min_co_occurrence", + default = 4, + min = 0, + max = 500 + ) + + object MinScoreParam + extends FSBoundedParam[Double]( + name = "producer_based_user_tweet_graph_min_score", + default = 3.0, + min = 0.0, + max = 10.0 + ) + + object MaxNumFollowersParam + extends FSBoundedParam[Int]( + name = "producer_based_user_tweet_graph_max_num_followers", + default = 500, + min = 100, + max = 1000 + ) + + val AllParams: Seq[Param[_] with FSName] = + Seq(MinCoOccurrenceParam, MaxNumFollowersParam, MinScoreParam) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MinCoOccurrenceParam, + MaxNumFollowersParam, + ) + + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(MinScoreParam) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RankerParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RankerParams.scala new file mode 100644 index 000000000..e7785ffb8 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RankerParams.scala @@ -0,0 +1,59 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RankerParams { + + object MaxCandidatesToRank + extends FSBoundedParam[Int]( + name = "twistly_core_max_candidates_to_rank", + default = 2000, + min = 0, + max = 9999 + ) + + object EnableBlueVerifiedTopK + extends FSParam[Boolean]( + name = "twistly_core_blue_verified_top_k", + default = true + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + MaxCandidatesToRank, + EnableBlueVerifiedTopK + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides(EnableBlueVerifiedTopK) + + val boundedDurationFSOverrides = + FeatureSwitchOverrideUtil.getBoundedDurationFSOverrides() + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxCandidatesToRank + ) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + ) + val stringFSOverrides = FeatureSwitchOverrideUtil.getStringFSOverrides() + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(boundedDurationFSOverrides: _*) + .set(intOverrides: _*) + .set(enumOverrides: _*) + .set(stringFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RealGraphInParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RealGraphInParams.scala new file mode 100644 index 000000000..7614ca0eb --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RealGraphInParams.scala @@ -0,0 +1,25 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi._ + +object RealGraphInParams { + object EnableSourceGraphParam + extends FSParam[Boolean]( + name = "graph_realgraphin_enable_source", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceGraphParam, + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceGraphParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RealGraphOonParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RealGraphOonParams.scala new file mode 100644 index 000000000..8b303c55b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RealGraphOonParams.scala @@ -0,0 +1,51 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RealGraphOonParams { + object EnableSourceParam + extends FSParam[Boolean]( + name = "signal_realgraphoon_enable_source", + default = false + ) + + object EnableSourceGraphParam + extends FSParam[Boolean]( + name = "graph_realgraphoon_enable_source", + default = false + ) + + object MaxConsumerSeedsNumParam + extends FSBoundedParam[Int]( + name = "graph_realgraphoon_max_user_seeds_num", + default = 200, + min = 0, + max = 1000 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + EnableSourceGraphParam, + MaxConsumerSeedsNumParam + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam, + EnableSourceGraphParam + ) + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides(MaxConsumerSeedsNumParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(intOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentFollowsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentFollowsParams.scala new file mode 100644 index 000000000..ecb75c82f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentFollowsParams.scala @@ -0,0 +1,27 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RecentFollowsParams { + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_recentfollows_enable_source", + default = true + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(EnableSourceParam) + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentNegativeSignalParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentNegativeSignalParams.scala new file mode 100644 index 000000000..429d6daba --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentNegativeSignalParams.scala @@ -0,0 +1,39 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RecentNegativeSignalParams { + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_recentnegativesignals_enable_source", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam + ) + + lazy val config: BaseConfig = { + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + ) + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides() + + BaseConfigBuilder() + .set(booleanOverrides: _*).set(doubleOverrides: _*).set(enumOverrides: _*).build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentNotificationsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentNotificationsParams.scala new file mode 100644 index 000000000..641118a05 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentNotificationsParams.scala @@ -0,0 +1,28 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RecentNotificationsParams { + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_recentnotifications_enable_source", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(EnableSourceParam) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentOriginalTweetsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentOriginalTweetsParams.scala new file mode 100644 index 000000000..5b485e61f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentOriginalTweetsParams.scala @@ -0,0 +1,28 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RecentOriginalTweetsParams { + + // Source params + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_recentoriginaltweets_enable_source", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(EnableSourceParam) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides(EnableSourceParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentReplyTweetsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentReplyTweetsParams.scala new file mode 100644 index 000000000..7e6617c6d --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentReplyTweetsParams.scala @@ -0,0 +1,27 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RecentReplyTweetsParams { + // Source params + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_recentreplytweets_enable_source", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(EnableSourceParam) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides(EnableSourceParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentRetweetsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentRetweetsParams.scala new file mode 100644 index 000000000..93c1fe356 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentRetweetsParams.scala @@ -0,0 +1,30 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RecentRetweetsParams { + + // Source params + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_recentretweets_enable_source", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(EnableSourceParam) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentTweetFavoritesParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentTweetFavoritesParams.scala new file mode 100644 index 000000000..22d0d6a70 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RecentTweetFavoritesParams.scala @@ -0,0 +1,29 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RecentTweetFavoritesParams { + // Source params + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_recenttweetfavorites_enable_source", + default = true + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(EnableSourceParam) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetGlobalParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetGlobalParams.scala new file mode 100644 index 000000000..f5e5ee21e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetGlobalParams.scala @@ -0,0 +1,32 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RelatedTweetGlobalParams { + + object MaxCandidatesPerRequestParam + extends FSBoundedParam[Int]( + name = "related_tweet_core_max_candidates_per_request", + default = 100, + min = 0, + max = 500 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(MaxCandidatesPerRequestParam) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxCandidatesPerRequestParam + ) + + BaseConfigBuilder() + .set(intOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetProducerBasedParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetProducerBasedParams.scala new file mode 100644 index 000000000..3851f6144 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetProducerBasedParams.scala @@ -0,0 +1,111 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RelatedTweetProducerBasedParams { + + // UTG params + object EnableUTGParam + extends FSParam[Boolean]( + name = "related_tweet_producer_based_enable_utg", + default = false + ) + + // SimClusters params + object EnableSimClustersANNParam + extends FSParam[Boolean]( + name = "related_tweet_producer_based_enable_simclusters", + default = true + ) + + // Filter params + object SimClustersMinScoreParam + extends FSBoundedParam[Double]( + name = "related_tweet_producer_based_filter_simclusters_min_score", + default = 0.0, + min = 0.0, + max = 1.0 + ) + + // Experimental SimClusters ANN params + object EnableExperimentalSimClustersANNParam + extends FSParam[Boolean]( + name = "related_tweet_producer_based_enable_experimental_simclusters_ann", + default = false + ) + + // SimClusters ANN cluster 1 params + object EnableSimClustersANN1Param + extends FSParam[Boolean]( + name = "related_tweet_producer_based_enable_simclusters_ann_1", + default = false + ) + + // SimClusters ANN cluster 2 params + object EnableSimClustersANN2Param + extends FSParam[Boolean]( + name = "related_tweet_producer_based_enable_simclusters_ann_2", + default = false + ) + + // SimClusters ANN cluster 3 params + object EnableSimClustersANN3Param + extends FSParam[Boolean]( + name = "related_tweet_producer_based_enable_simclusters_ann_3", + default = false + ) + + // SimClusters ANN cluster 3 params + object EnableSimClustersANN5Param + extends FSParam[Boolean]( + name = "related_tweet_producer_based_enable_simclusters_ann_5", + default = false + ) + + // SimClusters ANN cluster 4 params + object EnableSimClustersANN4Param + extends FSParam[Boolean]( + name = "related_tweet_producer_based_enable_simclusters_ann_4", + default = false + ) + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableUTGParam, + EnableSimClustersANNParam, + EnableSimClustersANN1Param, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam, + SimClustersMinScoreParam + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableUTGParam, + EnableSimClustersANNParam, + EnableSimClustersANN1Param, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam + ) + + val doubleOverrides = FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides( + SimClustersMinScoreParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetTweetBasedParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetTweetBasedParams.scala new file mode 100644 index 000000000..10d01a5d1 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedTweetTweetBasedParams.scala @@ -0,0 +1,141 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RelatedTweetTweetBasedParams { + + // UTG params + object EnableUTGParam + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_utg", + default = false + ) + + // UVG params + object EnableUVGParam + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_uvg", + default = false + ) + + // UAG params + object EnableUAGParam + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_uag", + default = false + ) + + // SimClusters params + object EnableSimClustersANNParam + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_simclusters", + default = true + ) + + // Experimental SimClusters ANN params + object EnableExperimentalSimClustersANNParam + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_experimental_simclusters_ann", + default = false + ) + + // SimClusters ANN cluster 1 params + object EnableSimClustersANN1Param + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_simclusters_ann_1", + default = false + ) + + // SimClusters ANN cluster 2 params + object EnableSimClustersANN2Param + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_simclusters_ann_2", + default = false + ) + + // SimClusters ANN cluster 3 params + object EnableSimClustersANN3Param + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_simclusters_ann_3", + default = false + ) + + // SimClusters ANN cluster 5 params + object EnableSimClustersANN5Param + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_simclusters_ann_5", + default = false + ) + + object EnableSimClustersANN4Param + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_simclusters_ann_4", + default = false + ) + // TwHIN params + object EnableTwHINParam + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_twhin", + default = false + ) + + // QIG params + object EnableQigSimilarTweetsParam + extends FSParam[Boolean]( + name = "related_tweet_tweet_based_enable_qig_similar_tweets", + default = false + ) + + // Filter params + object SimClustersMinScoreParam + extends FSBoundedParam[Double]( + name = "related_tweet_tweet_based_filter_simclusters_min_score", + default = 0.3, + min = 0.0, + max = 1.0 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableTwHINParam, + EnableQigSimilarTweetsParam, + EnableUTGParam, + EnableUVGParam, + EnableSimClustersANNParam, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam, + SimClustersMinScoreParam + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableTwHINParam, + EnableQigSimilarTweetsParam, + EnableUTGParam, + EnableUVGParam, + EnableSimClustersANNParam, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(SimClustersMinScoreParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedVideoTweetGlobalParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedVideoTweetGlobalParams.scala new file mode 100644 index 000000000..eeed18e6c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedVideoTweetGlobalParams.scala @@ -0,0 +1,32 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RelatedVideoTweetGlobalParams { + + object MaxCandidatesPerRequestParam + extends FSBoundedParam[Int]( + name = "related_video_tweet_core_max_candidates_per_request", + default = 100, + min = 0, + max = 500 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(MaxCandidatesPerRequestParam) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxCandidatesPerRequestParam + ) + + BaseConfigBuilder() + .set(intOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedVideoTweetTweetBasedParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedVideoTweetTweetBasedParams.scala new file mode 100644 index 000000000..3b40653bc --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RelatedVideoTweetTweetBasedParams.scala @@ -0,0 +1,134 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RelatedVideoTweetTweetBasedParams { + + // UTG params + object EnableUTGParam + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_utg", + default = false + ) + + // SimClusters params + object EnableSimClustersANNParam + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_simclusters", + default = true + ) + + // Experimental SimClusters ANN params + object EnableExperimentalSimClustersANNParam + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_experimental_simclusters_ann", + default = false + ) + + // SimClusters ANN cluster 1 params + object EnableSimClustersANN1Param + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_simclusters_ann_1", + default = false + ) + + // SimClusters ANN cluster 2 params + object EnableSimClustersANN2Param + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_simclusters_ann_2", + default = false + ) + + // SimClusters ANN cluster 3 params + object EnableSimClustersANN3Param + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_simclusters_ann_3", + default = false + ) + + // SimClusters ANN cluster 5 params + object EnableSimClustersANN5Param + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_simclusters_ann_5", + default = false + ) + + // SimClusters ANN cluster 4 params + object EnableSimClustersANN4Param + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_simclusters_ann_4", + default = false + ) + // TwHIN params + object EnableTwHINParam + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_twhin", + default = false + ) + + // QIG params + object EnableQigSimilarTweetsParam + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_qig_similar_tweets", + default = false + ) + + // Filter params + object SimClustersMinScoreParam + extends FSBoundedParam[Double]( + name = "related_video_tweet_tweet_based_filter_simclusters_min_score", + default = 0.3, + min = 0.0, + max = 1.0 + ) + + object EnableUVGParam + extends FSParam[Boolean]( + name = "related_video_tweet_tweet_based_enable_uvg", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableTwHINParam, + EnableQigSimilarTweetsParam, + EnableUTGParam, + EnableUVGParam, + EnableSimClustersANNParam, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam, + SimClustersMinScoreParam + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableTwHINParam, + EnableQigSimilarTweetsParam, + EnableUTGParam, + EnableUVGParam, + EnableSimClustersANNParam, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(SimClustersMinScoreParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RepeatedProfileVisitsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RepeatedProfileVisitsParams.scala new file mode 100644 index 000000000..4cb205de9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/RepeatedProfileVisitsParams.scala @@ -0,0 +1,72 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.usersignalservice.thriftscala.SignalType +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object RepeatedProfileVisitsParams { + object ProfileMinVisitParam extends Enumeration { + protected case class SignalTypeValue(signalType: SignalType) extends super.Val + import scala.language.implicitConversions + implicit def valueToSignalTypeValue(x: Value): SignalTypeValue = + x.asInstanceOf[SignalTypeValue] + + val TotalVisitsInPast180Days = SignalTypeValue(SignalType.RepeatedProfileVisit180dMinVisit6V1) + val TotalVisitsInPast90Days = SignalTypeValue(SignalType.RepeatedProfileVisit90dMinVisit6V1) + val TotalVisitsInPast14Days = SignalTypeValue(SignalType.RepeatedProfileVisit14dMinVisit2V1) + val TotalVisitsInPast180DaysNoNegative = SignalTypeValue( + SignalType.RepeatedProfileVisit180dMinVisit6V1NoNegative) + val TotalVisitsInPast90DaysNoNegative = SignalTypeValue( + SignalType.RepeatedProfileVisit90dMinVisit6V1NoNegative) + val TotalVisitsInPast14DaysNoNegative = SignalTypeValue( + SignalType.RepeatedProfileVisit14dMinVisit2V1NoNegative) + } + + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_repeatedprofilevisits_enable_source", + default = true + ) + + object MinScoreParam + extends FSBoundedParam[Double]( + name = "twistly_repeatedprofilevisits_min_score", + default = 0.5, + min = 0.0, + max = 1.0 + ) + + object ProfileMinVisitType + extends FSEnumParam[ProfileMinVisitParam.type]( + name = "twistly_repeatedprofilevisits_min_visit_type_id", + default = ProfileMinVisitParam.TotalVisitsInPast14Days, + enum = ProfileMinVisitParam + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(EnableSourceParam, ProfileMinVisitType) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam + ) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + ProfileMinVisitType + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(enumOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/SimClustersANNParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/SimClustersANNParams.scala new file mode 100644 index 000000000..b650d5123 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/SimClustersANNParams.scala @@ -0,0 +1,76 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object SimClustersANNParams { + + // Different SimClusters ANN cluster has its own config id (model slot) + object SimClustersANNConfigId + extends FSParam[String]( + name = "similarity_simclusters_ann_simclusters_ann_config_id", + default = "Default" + ) + + object SimClustersANN1ConfigId + extends FSParam[String]( + name = "similarity_simclusters_ann_simclusters_ann_1_config_id", + default = "20220810" + ) + + object SimClustersANN2ConfigId + extends FSParam[String]( + name = "similarity_simclusters_ann_simclusters_ann_2_config_id", + default = "20220818" + ) + + object SimClustersANN3ConfigId + extends FSParam[String]( + name = "similarity_simclusters_ann_simclusters_ann_3_config_id", + default = "20220819" + ) + + object SimClustersANN5ConfigId + extends FSParam[String]( + name = "similarity_simclusters_ann_simclusters_ann_5_config_id", + default = "20221221" + ) + object SimClustersANN4ConfigId + extends FSParam[String]( + name = "similarity_simclusters_ann_simclusters_ann_4_config_id", + default = "20221220" + ) + object ExperimentalSimClustersANNConfigId + extends FSParam[String]( + name = "similarity_simclusters_ann_experimental_simclusters_ann_config_id", + default = "20220801" + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + SimClustersANNConfigId, + SimClustersANN1ConfigId, + SimClustersANN2ConfigId, + SimClustersANN3ConfigId, + SimClustersANN5ConfigId, + ExperimentalSimClustersANNConfigId + ) + + lazy val config: BaseConfig = { + val stringOverrides = FeatureSwitchOverrideUtil.getStringFSOverrides( + SimClustersANNConfigId, + SimClustersANN1ConfigId, + SimClustersANN2ConfigId, + SimClustersANN3ConfigId, + SimClustersANN5ConfigId, + ExperimentalSimClustersANNConfigId + ) + + BaseConfigBuilder() + .set(stringOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TopicTweetParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TopicTweetParams.scala new file mode 100644 index 000000000..3ef683f52 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TopicTweetParams.scala @@ -0,0 +1,115 @@ +package com.twitter.cr_mixer.param + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +object TopicTweetParams { + object MaxTweetAge + extends FSBoundedParam[Duration]( + name = "topic_tweet_candidate_generation_max_tweet_age_hours", + default = 24.hours, + min = 12.hours, + max = 48.hours + ) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromHours + } + + object MaxTopicTweetCandidatesParam + extends FSBoundedParam[Int]( + name = "topic_tweet_max_candidates_num", + default = 200, + min = 0, + max = 1000 + ) + + object MaxSkitTfgCandidatesParam + extends FSBoundedParam[Int]( + name = "topic_tweet_skit_tfg_max_candidates_num", + default = 100, + min = 0, + max = 1000 + ) + + object MaxSkitHighPrecisionCandidatesParam + extends FSBoundedParam[Int]( + name = "topic_tweet_skit_high_precision_max_candidates_num", + default = 100, + min = 0, + max = 1000 + ) + + object MaxCertoCandidatesParam + extends FSBoundedParam[Int]( + name = "topic_tweet_certo_max_candidates_num", + default = 100, + min = 0, + max = 1000 + ) + + // The min prod score for Certo L2-normalized cosine candidates + object CertoScoreThresholdParam + extends FSBoundedParam[Double]( + name = "topic_tweet_certo_score_threshold", + default = 0.015, + min = 0, + max = 1 + ) + + object SemanticCoreVersionIdParam + extends FSParam[Long]( + name = "semantic_core_version_id", + default = 1380520918896713735L + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + CertoScoreThresholdParam, + MaxTopicTweetCandidatesParam, + MaxTweetAge, + MaxCertoCandidatesParam, + MaxSkitTfgCandidatesParam, + MaxSkitHighPrecisionCandidatesParam, + SemanticCoreVersionIdParam + ) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides() + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(CertoScoreThresholdParam) + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxCertoCandidatesParam, + MaxSkitTfgCandidatesParam, + MaxSkitHighPrecisionCandidatesParam, + MaxTopicTweetCandidatesParam + ) + + val longOverrides = FeatureSwitchOverrideUtil.getLongFSOverrides(SemanticCoreVersionIdParam) + + val durationFSOverrides = FeatureSwitchOverrideUtil.getDurationFSOverrides(MaxTweetAge) + + val enumOverrides = + FeatureSwitchOverrideUtil.getEnumFSOverrides(NullStatsReceiver, Logger(getClass)) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .set(intOverrides: _*) + .set(longOverrides: _*) + .set(enumOverrides: _*) + .set(durationFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedCandidateGenerationParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedCandidateGenerationParams.scala new file mode 100644 index 000000000..7f94d2e41 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedCandidateGenerationParams.scala @@ -0,0 +1,189 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object TweetBasedCandidateGenerationParams { + + // Source params. Not being used. It is always set to true in prod + object EnableSourceParam + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_source", + default = false + ) + + // UTG params + object EnableUTGParam + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_utg", + default = true + ) + + // SimClusters params + object EnableSimClustersANNParam + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_simclusters", + default = true + ) + + // Experimental SimClusters ANN params + object EnableExperimentalSimClustersANNParam + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_experimental_simclusters_ann", + default = false + ) + + // SimClusters ANN cluster 1 params + object EnableSimClustersANN1Param + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_simclusters_ann_1", + default = false + ) + + // SimClusters ANN cluster 2 params + object EnableSimClustersANN2Param + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_simclusters_ann_2", + default = false + ) + + // SimClusters ANN cluster 3 params + object EnableSimClustersANN3Param + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_simclusters_ann_3", + default = false + ) + + // SimClusters ANN cluster 3 params + object EnableSimClustersANN5Param + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_simclusters_ann_5", + default = false + ) + + // SimClusters ANN cluster 4 params + object EnableSimClustersANN4Param + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_simclusters_ann_4", + default = false + ) + // TwHIN params + object EnableTwHINParam + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_twhin", + default = false + ) + + // QIG params + object EnableQigSimilarTweetsParam + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_qig_similar_tweets", + default = false + ) + + object QigMaxNumSimilarTweetsParam + extends FSBoundedParam[Int]( + name = "tweet_based_candidate_generation_qig_max_num_similar_tweets", + default = 100, + min = 10, + max = 100 + ) + + // UVG params + object EnableUVGParam + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_uvg", + default = false + ) + + // UAG params + object EnableUAGParam + extends FSParam[Boolean]( + name = "tweet_based_candidate_generation_enable_uag", + default = false + ) + + // Filter params + object SimClustersMinScoreParam + extends FSBoundedParam[Double]( + name = "tweet_based_candidate_generation_filter_simclusters_min_score", + default = 0.5, + min = 0.0, + max = 1.0 + ) + + // for learning DDG that has a higher threshold for video based SANN + object SimClustersVideoBasedMinScoreParam + extends FSBoundedParam[Double]( + name = "tweet_based_candidate_generation_filter_simclusters_video_based_min_score", + default = 0.5, + min = 0.0, + max = 1.0 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableSourceParam, + EnableTwHINParam, + EnableQigSimilarTweetsParam, + EnableUTGParam, + EnableUVGParam, + EnableUAGParam, + EnableSimClustersANNParam, + EnableSimClustersANN1Param, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam, + SimClustersMinScoreParam, + SimClustersVideoBasedMinScoreParam, + QigMaxNumSimilarTweetsParam, + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam, + EnableTwHINParam, + EnableQigSimilarTweetsParam, + EnableUTGParam, + EnableUVGParam, + EnableUAGParam, + EnableSimClustersANNParam, + EnableSimClustersANN1Param, + EnableSimClustersANN2Param, + EnableSimClustersANN3Param, + EnableSimClustersANN5Param, + EnableSimClustersANN4Param, + EnableExperimentalSimClustersANNParam, + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides( + SimClustersMinScoreParam, + SimClustersVideoBasedMinScoreParam) + + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + ) + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + QigMaxNumSimilarTweetsParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(doubleOverrides: _*) + .set(enumOverrides: _*) + .set(intOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedTwHINParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedTwHINParams.scala new file mode 100644 index 000000000..c4ecfc6fb --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedTwHINParams.scala @@ -0,0 +1,30 @@ +package com.twitter.cr_mixer.param + +import com.twitter.cr_mixer.model.ModelConfig +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object TweetBasedTwHINParams { + object ModelIdParam + extends FSParam[String]( + name = "tweet_based_twhin_model_id", + default = ModelConfig.TweetBasedTwHINRegularUpdateAll20221024, + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(ModelIdParam) + + lazy val config: BaseConfig = { + val stringFSOverrides = + FeatureSwitchOverrideUtil.getStringFSOverrides( + ModelIdParam + ) + + BaseConfigBuilder() + .set(stringFSOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserAdGraphParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserAdGraphParams.scala new file mode 100644 index 000000000..9e994b16b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserAdGraphParams.scala @@ -0,0 +1,58 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object TweetBasedUserAdGraphParams { + + object MinCoOccurrenceParam + extends FSBoundedParam[Int]( + name = "tweet_based_user_ad_graph_min_co_occurrence", + default = 1, + min = 0, + max = 500 + ) + + object ConsumersBasedMinScoreParam + extends FSBoundedParam[Double]( + name = "tweet_based_user_ad_graph_consumers_based_min_score", + default = 0.0, + min = 0.0, + max = 10.0 + ) + + object MaxConsumerSeedsNumParam + extends FSBoundedParam[Int]( + name = "tweet_based_user_ad_graph_max_user_seeds_num", + default = 100, + min = 0, + max = 300 + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + MinCoOccurrenceParam, + MaxConsumerSeedsNumParam, + ConsumersBasedMinScoreParam + ) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MinCoOccurrenceParam, + MaxConsumerSeedsNumParam + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(ConsumersBasedMinScoreParam) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(doubleOverrides: _*) + .build() + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserTweetGraphParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserTweetGraphParams.scala new file mode 100644 index 000000000..8cc42f81f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserTweetGraphParams.scala @@ -0,0 +1,89 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object TweetBasedUserTweetGraphParams { + + object MinCoOccurrenceParam + extends FSBoundedParam[Int]( + name = "tweet_based_user_tweet_graph_min_co_occurrence", + default = 3, + min = 0, + max = 500 + ) + + object TweetBasedMinScoreParam + extends FSBoundedParam[Double]( + name = "tweet_based_user_tweet_graph_tweet_based_min_score", + default = 0.5, + min = 0.0, + max = 10.0 + ) + + object ConsumersBasedMinScoreParam + extends FSBoundedParam[Double]( + name = "tweet_based_user_tweet_graph_consumers_based_min_score", + default = 4.0, + min = 0.0, + max = 10.0 + ) + object MaxConsumerSeedsNumParam + extends FSBoundedParam[Int]( + name = "tweet_based_user_tweet_graph_max_user_seeds_num", + default = 100, + min = 0, + max = 300 + ) + + object EnableCoverageExpansionOldTweetParam + extends FSParam[Boolean]( + name = "tweet_based_user_tweet_graph_enable_coverage_expansion_old_tweet", + default = false + ) + + object EnableCoverageExpansionAllTweetParam + extends FSParam[Boolean]( + name = "tweet_based_user_tweet_graph_enable_coverage_expansion_all_tweet", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableCoverageExpansionAllTweetParam, + EnableCoverageExpansionOldTweetParam, + MinCoOccurrenceParam, + MaxConsumerSeedsNumParam, + TweetBasedMinScoreParam, + ConsumersBasedMinScoreParam + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableCoverageExpansionAllTweetParam, + EnableCoverageExpansionOldTweetParam + ) + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MinCoOccurrenceParam, + MaxConsumerSeedsNumParam + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides( + TweetBasedMinScoreParam, + ConsumersBasedMinScoreParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(intOverrides: _*) + .set(doubleOverrides: _*) + .build() + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserVideoGraphParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserVideoGraphParams.scala new file mode 100644 index 000000000..0de5d2df7 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetBasedUserVideoGraphParams.scala @@ -0,0 +1,81 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object TweetBasedUserVideoGraphParams { + + object MinCoOccurrenceParam + extends FSBoundedParam[Int]( + name = "tweet_based_user_video_graph_min_co_occurrence", + default = 5, + min = 0, + max = 500 + ) + + object TweetBasedMinScoreParam + extends FSBoundedParam[Double]( + name = "tweet_based_user_video_graph_tweet_based_min_score", + default = 0.0, + min = 0.0, + max = 100.0 + ) + + object ConsumersBasedMinScoreParam + extends FSBoundedParam[Double]( + name = "tweet_based_user_video_graph_consumers_based_min_score", + default = 4.0, + min = 0.0, + max = 10.0 + ) + + object MaxConsumerSeedsNumParam + extends FSBoundedParam[Int]( + name = "tweet_based_user_video_graph_max_user_seeds_num", + default = 200, + min = 0, + max = 500 + ) + + object EnableCoverageExpansionOldTweetParam + extends FSParam[Boolean]( + name = "tweet_based_user_video_graph_enable_coverage_expansion_old_tweet", + default = false + ) + + object EnableCoverageExpansionAllTweetParam + extends FSParam[Boolean]( + name = "tweet_based_user_video_graph_enable_coverage_expansion_all_tweet", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + MinCoOccurrenceParam, + MaxConsumerSeedsNumParam, + TweetBasedMinScoreParam, + EnableCoverageExpansionOldTweetParam, + EnableCoverageExpansionAllTweetParam + ) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MinCoOccurrenceParam, + MaxConsumerSeedsNumParam + ) + + val doubleOverrides = + FeatureSwitchOverrideUtil.getBoundedDoubleFSOverrides(TweetBasedMinScoreParam) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(doubleOverrides: _*) + .build() + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetSharesParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetSharesParams.scala new file mode 100644 index 000000000..1602441b0 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/TweetSharesParams.scala @@ -0,0 +1,29 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param + +object TweetSharesParams { + object EnableSourceParam + extends FSParam[Boolean]( + name = "twistly_tweetshares_enable_source", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq(EnableSourceParam) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam, + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UnifiedSETweetCombinationMethod.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UnifiedSETweetCombinationMethod.scala new file mode 100644 index 000000000..f5b92f138 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UnifiedSETweetCombinationMethod.scala @@ -0,0 +1,15 @@ +package com.twitter.cr_mixer.param + +import scala.language.implicitConversions + +object UnifiedSETweetCombinationMethod extends Enumeration { + + protected case class CombinationType(s: String) extends super.Val + + implicit def valueToCombinationType(x: Value): CombinationType = x.asInstanceOf[CombinationType] + + val Default: Value = CombinationType("") + val Interleave: Value = CombinationType("Interleave") + val Frontload: Value = CombinationType("Frontload") + val Backfill: Value = CombinationType("Backfill") +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UnifiedUSSSignalParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UnifiedUSSSignalParams.scala new file mode 100644 index 000000000..071cabc0c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UnifiedUSSSignalParams.scala @@ -0,0 +1,121 @@ +package com.twitter.cr_mixer.param +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param +import com.twitter.usersignalservice.thriftscala.SignalType +import scala.language.implicitConversions + +object UnifiedUSSSignalParams { + + object TweetAggregationTypeParam extends Enumeration { + protected case class SignalTypeValue(signalType: SignalType) extends super.Val + + implicit def valueToSignalTypeValue(x: Value): SignalTypeValue = + x.asInstanceOf[SignalTypeValue] + + val UniformAggregation = SignalTypeValue(SignalType.TweetBasedUnifiedUniformSignal) + val EngagementAggregation = SignalTypeValue( + SignalType.TweetBasedUnifiedEngagementWeightedSignal) + } + + object ProducerAggregationTypeParam extends Enumeration { + protected case class SignalTypeValue(signalType: SignalType) extends super.Val + + import scala.language.implicitConversions + + implicit def valueToSignalTypeValue(x: Value): SignalTypeValue = + x.asInstanceOf[SignalTypeValue] + + val UniformAggregation = SignalTypeValue(SignalType.ProducerBasedUnifiedUniformSignal) + val EngagementAggregation = SignalTypeValue( + SignalType.ProducerBasedUnifiedEngagementWeightedSignal) + + } + + object ReplaceIndividualUSSSourcesParam + extends FSParam[Boolean]( + name = "twistly_agg_replace_enable_source", + default = false + ) + + object EnableTweetAggSourceParam + extends FSParam[Boolean]( + name = "twistly_agg_tweet_agg_enable_source", + default = false + ) + + object TweetAggTypeParam + extends FSEnumParam[TweetAggregationTypeParam.type]( + name = "twistly_agg_tweet_agg_type_id", + default = TweetAggregationTypeParam.EngagementAggregation, + enum = TweetAggregationTypeParam + ) + + object UnifiedTweetSourceNumberParam + extends FSBoundedParam[Int]( + name = "twistly_agg_tweet_agg_source_number", + default = 0, + min = 0, + max = 100, + ) + + object EnableProducerAggSourceParam + extends FSParam[Boolean]( + name = "twistly_agg_producer_agg_enable_source", + default = false + ) + + object ProducerAggTypeParam + extends FSEnumParam[ProducerAggregationTypeParam.type]( + name = "twistly_agg_producer_agg_type_id", + default = ProducerAggregationTypeParam.EngagementAggregation, + enum = ProducerAggregationTypeParam + ) + + object UnifiedProducerSourceNumberParam + extends FSBoundedParam[Int]( + name = "twistly_agg_producer_agg_source_number", + default = 0, + min = 0, + max = 100, + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableTweetAggSourceParam, + EnableProducerAggSourceParam, + TweetAggTypeParam, + ProducerAggTypeParam, + UnifiedTweetSourceNumberParam, + UnifiedProducerSourceNumberParam, + ReplaceIndividualUSSSourcesParam + ) + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableTweetAggSourceParam, + EnableProducerAggSourceParam, + ReplaceIndividualUSSSourcesParam, + ) + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + UnifiedProducerSourceNumberParam, + UnifiedTweetSourceNumberParam) + val enumOverrides = FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + TweetAggTypeParam, + ProducerAggTypeParam + ) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(intOverrides: _*) + .set(enumOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UtegTweetGlobalParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UtegTweetGlobalParams.scala new file mode 100644 index 000000000..29f5a7818 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/UtegTweetGlobalParams.scala @@ -0,0 +1,94 @@ +package com.twitter.cr_mixer.param + +import com.twitter.conversions.DurationOps._ +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +object UtegTweetGlobalParams { + + object MaxUtegCandidatesToRequestParam + extends FSBoundedParam[Int]( + name = "max_uteg_candidates_to_request", + default = 800, + min = 10, + max = 200 + ) + + object CandidateRefreshSinceTimeOffsetHoursParam + extends FSBoundedParam[Duration]( + name = "candidate_refresh_since_time_offset_hours", + default = 48.hours, + min = 1.hours, + max = 96.hours + ) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromHours + } + + object EnableTLRHealthFilterParam + extends FSParam[Boolean]( + name = "enable_uteg_tlr_health_filter", + default = true + ) + + object EnableRepliesToNonFollowedUsersFilterParam + extends FSParam[Boolean]( + name = "enable_uteg_replies_to_non_followed_users_filter", + default = false + ) + + object EnableRetweetFilterParam + extends FSParam[Boolean]( + name = "enable_uteg_retweet_filter", + default = true + ) + + object EnableInNetworkFilterParam + extends FSParam[Boolean]( + name = "enable_uteg_in_network_filter", + default = true + ) + + val AllParams: Seq[Param[_] with FSName] = + Seq( + MaxUtegCandidatesToRequestParam, + CandidateRefreshSinceTimeOffsetHoursParam, + EnableTLRHealthFilterParam, + EnableRepliesToNonFollowedUsersFilterParam, + EnableRetweetFilterParam, + EnableInNetworkFilterParam + ) + + lazy val config: BaseConfig = { + + val intOverrides = FeatureSwitchOverrideUtil.getBoundedIntFSOverrides( + MaxUtegCandidatesToRequestParam + ) + + val durationFSOverrides = + FeatureSwitchOverrideUtil.getDurationFSOverrides( + CandidateRefreshSinceTimeOffsetHoursParam + ) + + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableTLRHealthFilterParam, + EnableRepliesToNonFollowedUsersFilterParam, + EnableRetweetFilterParam, + EnableInNetworkFilterParam + ) + + BaseConfigBuilder() + .set(intOverrides: _*) + .set(durationFSOverrides: _*) + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/VideoTweetFilterParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/VideoTweetFilterParams.scala new file mode 100644 index 000000000..3a93d0a1a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/VideoTweetFilterParams.scala @@ -0,0 +1,31 @@ +package com.twitter.cr_mixer.param + +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param + +object VideoTweetFilterParams { + + object EnableVideoTweetFilterParam + extends FSParam[Boolean]( + name = "video_tweet_filter_enable_filter", + default = false + ) + + val AllParams: Seq[Param[_] with FSName] = Seq( + EnableVideoTweetFilterParam + ) + + lazy val config: BaseConfig = { + + val booleanOverrides = + FeatureSwitchOverrideUtil.getBooleanFSOverrides(EnableVideoTweetFilterParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .build() + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/VideoViewTweetsParams.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/VideoViewTweetsParams.scala new file mode 100644 index 000000000..44f508d89 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/VideoViewTweetsParams.scala @@ -0,0 +1,64 @@ +package com.twitter.cr_mixer.param + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfig +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil +import com.twitter.timelines.configapi.Param +import com.twitter.usersignalservice.thriftscala.SignalType + +object VideoViewTweetsParams { + object EnableSourceParam + extends FSParam[Boolean]( + name = "signal_videoviewtweets_enable_source", + default = false + ) + + object EnableSourceImpressionParam + extends FSParam[Boolean]( + name = "signal_videoviewtweets_enableimpression_source", + default = false + ) + + object VideoViewTweetType extends Enumeration { + protected case class SignalTypeValue(signalType: SignalType) extends super.Val + import scala.language.implicitConversions + implicit def valueToSignalTypeValue(x: Value): SignalTypeValue = + x.asInstanceOf[SignalTypeValue] + + val VideoTweetQualityView: SignalTypeValue = SignalTypeValue(SignalType.VideoView90dQualityV1) + val VideoTweetPlayback50: SignalTypeValue = SignalTypeValue(SignalType.VideoView90dPlayback50V1) + } + + object VideoViewTweetTypeParam + extends FSEnumParam[VideoViewTweetType.type]( + name = "signal_videoviewtweets_videoviewtype_id", + default = VideoViewTweetType.VideoTweetQualityView, + enum = VideoViewTweetType + ) + + val AllParams: Seq[Param[_] with FSName] = + Seq(EnableSourceParam, EnableSourceImpressionParam, VideoViewTweetTypeParam) + + lazy val config: BaseConfig = { + val booleanOverrides = FeatureSwitchOverrideUtil.getBooleanFSOverrides( + EnableSourceParam, + EnableSourceImpressionParam, + ) + val enumOverrides = + FeatureSwitchOverrideUtil.getEnumFSOverrides( + NullStatsReceiver, + Logger(getClass), + VideoViewTweetTypeParam) + + BaseConfigBuilder() + .set(booleanOverrides: _*) + .set(enumOverrides: _*) + .build() + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/BUILD new file mode 100644 index 000000000..730986d64 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/BUILD @@ -0,0 +1,16 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "decider/src/main/scala", + "finagle/finagle-base-http/src/main", + "finagle/finagle-core/src/main", + "finagle/finagle-http/src/main/scala", + "servo/decider", + "src/scala/com/twitter/simclusters_v2/common", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/CrMixerDecider.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/CrMixerDecider.scala new file mode 100644 index 000000000..8c909ca05 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/CrMixerDecider.scala @@ -0,0 +1,39 @@ +package com.twitter.cr_mixer.param.decider + +import com.twitter.decider.Decider +import com.twitter.decider.RandomRecipient +import com.twitter.decider.Recipient +import com.twitter.decider.SimpleRecipient +import com.twitter.simclusters_v2.common.DeciderGateBuilderWithIdHashing +import javax.inject.Inject + +case class CrMixerDecider @Inject() (decider: Decider) { + + def isAvailable(feature: String, recipient: Option[Recipient]): Boolean = { + decider.isAvailable(feature, recipient) + } + + lazy val deciderGateBuilder = new DeciderGateBuilderWithIdHashing(decider) + + /** + * When useRandomRecipient is set to false, the decider is either completely on or off. + * When useRandomRecipient is set to true, the decider is on for the specified % of traffic. + */ + def isAvailable(feature: String, useRandomRecipient: Boolean = true): Boolean = { + if (useRandomRecipient) isAvailable(feature, Some(RandomRecipient)) + else isAvailable(feature, None) + } + + /*** + * Decide whether the decider is available for a specific id using SimpleRecipient(id). + */ + def isAvailableForId( + id: Long, + deciderConstants: String + ): Boolean = { + // Note: SimpleRecipient does expose a `val isUser = true` field which is not correct if the Id is not a user Id. + // However this field does not appear to be used anywhere in source. + decider.isAvailable(deciderConstants, Some(SimpleRecipient(id))) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/DeciderKey.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/DeciderKey.scala new file mode 100644 index 000000000..518ea53db --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/DeciderKey.scala @@ -0,0 +1,67 @@ +package com.twitter.cr_mixer.param.decider + +import com.twitter.servo.decider.DeciderKeyEnum + +object DeciderConstants { + val enableHealthSignalsScoreDeciderKey = "enable_tweet_health_score" + val enableUTGRealTimeTweetEngagementScoreDeciderKey = "enable_utg_realtime_tweet_engagement_score" + val enableUserAgathaScoreDeciderKey = "enable_user_agatha_score" + val enableUserTweetEntityGraphTrafficDeciderKey = "enable_user_tweet_entity_graph_traffic" + val enableUserTweetGraphTrafficDeciderKey = "enable_user_tweet_graph_traffic" + val enableUserVideoGraphTrafficDeciderKey = "enable_user_video_graph_traffic" + val enableUserAdGraphTrafficDeciderKey = "enable_user_ad_graph_traffic" + val enableSimClustersANN2DarkTrafficDeciderKey = "enable_simclusters_ann_2_dark_traffic" + val enableQigSimilarTweetsTrafficDeciderKey = "enable_qig_similar_tweets_traffic" + val enableFRSTrafficDeciderKey = "enable_frs_traffic" + val upperFunnelPerStepScribeRate = "upper_funnel_per_step_scribe_rate" + val kafkaMessageScribeSampleRate = "kafka_message_scribe_sample_rate" + val enableRealGraphMhStoreDeciderKey = "enable_real_graph_mh_store" + val topLevelApiDdgMetricsScribeRate = "top_level_api_ddg_metrics_scribe_rate" + val adsRecommendationsPerExperimentScribeRate = "ads_recommendations_per_experiment_scribe_rate" + val enableScribeForBlueVerifiedTweetCandidates = + "enable_scribe_for_blue_verified_tweet_candidates" + + val enableUserStateStoreDeciderKey = "enable_user_state_store" + val enableUserMediaRepresentationStoreDeciderKey = + "enable_user_media_representation_store" + val enableMagicRecsRealTimeAggregatesStoreDeciderKey = + "enable_magic_recs_real_time_aggregates_store" + + val enableEarlybirdTrafficDeciderKey = "enable_earlybird_traffic" + + val enableTopicTweetTrafficDeciderKey = "enable_topic_tweet_traffic" + + val getTweetRecommendationsCacheRate = "get_tweet_recommendations_cache_rate" +} + +object DeciderKey extends DeciderKeyEnum { + + val enableHealthSignalsScoreDeciderKey: Value = Value( + DeciderConstants.enableHealthSignalsScoreDeciderKey + ) + + val enableUtgRealTimeTweetEngagementScoreDeciderKey: Value = Value( + DeciderConstants.enableUTGRealTimeTweetEngagementScoreDeciderKey + ) + val enableUserAgathaScoreDeciderKey: Value = Value( + DeciderConstants.enableUserAgathaScoreDeciderKey + ) + val enableUserMediaRepresentationStoreDeciderKey: Value = Value( + DeciderConstants.enableUserMediaRepresentationStoreDeciderKey + ) + + val enableMagicRecsRealTimeAggregatesStore: Value = Value( + DeciderConstants.enableMagicRecsRealTimeAggregatesStoreDeciderKey + ) + + val enableUserStateStoreDeciderKey: Value = Value( + DeciderConstants.enableUserStateStoreDeciderKey + ) + + val enableRealGraphMhStoreDeciderKey: Value = Value( + DeciderConstants.enableRealGraphMhStoreDeciderKey + ) + + val enableEarlybirdTrafficDeciderKey: Value = Value( + DeciderConstants.enableEarlybirdTrafficDeciderKey) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/EndpointLoadShedder.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/EndpointLoadShedder.scala new file mode 100644 index 000000000..a53e629a9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider/EndpointLoadShedder.scala @@ -0,0 +1,57 @@ +package com.twitter.cr_mixer.param.decider + +import com.twitter.decider.Decider +import com.twitter.decider.RandomRecipient +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.util.Future +import javax.inject.Inject +import scala.util.control.NoStackTrace + +/* + Provides deciders-controlled load shedding for a given Product from a given endpoint. + The format of the decider keys is: + + enable_loadshedding__ + E.g.: + enable_loadshedding_getTweetRecommendations_Notifications + + Deciders are fractional, so a value of 50.00 will drop 50% of responses. If a decider key is not + defined for a particular endpoint/product combination, those requests will always be + served. + + We should therefore aim to define keys for the endpoints/product we care most about in decider.yml, + so that we can control them during incidents. + */ +case class EndpointLoadShedder @Inject() ( + decider: Decider, + statsReceiver: StatsReceiver) { + import EndpointLoadShedder._ + + // Fall back to False for any undefined key + private val deciderWithFalseFallback: Decider = decider.orElse(Decider.False) + private val keyPrefix = "enable_loadshedding" + private val scopedStats = statsReceiver.scope("EndpointLoadShedder") + + def apply[T](endpointName: String, product: String)(serve: => Future[T]): Future[T] = { + /* + Checks if either per-product or top-level load shedding is enabled + If both are enabled at different percentages, load shedding will not be perfectly calculable due + to salting of hash (i.e. 25% load shed for Product x + 25% load shed for overall does not + result in 50% load shed for x) + */ + val keyTyped = s"${keyPrefix}_${endpointName}_$product" + val keyTopLevel = s"${keyPrefix}_${endpointName}" + + if (deciderWithFalseFallback.isAvailable(keyTopLevel, recipient = Some(RandomRecipient))) { + scopedStats.counter(keyTopLevel).incr + Future.exception(LoadSheddingException) + } else if (deciderWithFalseFallback.isAvailable(keyTyped, recipient = Some(RandomRecipient))) { + scopedStats.counter(keyTyped).incr + Future.exception(LoadSheddingException) + } else serve + } +} + +object EndpointLoadShedder { + object LoadSheddingException extends Exception with NoStackTrace +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/BUILD new file mode 100644 index 000000000..139ecd4c7 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/BUILD @@ -0,0 +1,30 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core", + "content-recommender/thrift/src/main/thrift:content-recommender-common-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "frigate/frigate-common:base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/util:stats_util", + "hydra/common/libraries/src/main/scala/com/twitter/hydra/common/model_config", + "hydra/partition/thrift/src/main/thrift:thrift-scala", + "hydra/root/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/ml/api:data-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/DefaultRanker.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/DefaultRanker.scala new file mode 100644 index 000000000..2ae91642b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/DefaultRanker.scala @@ -0,0 +1,23 @@ +package com.twitter.cr_mixer.ranker + +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.util.Future +import javax.inject.Singleton + +/** + * Keep the same order as the input. + */ +@Singleton +class DefaultRanker() { + def rank( + candidates: Seq[BlendedCandidate], + ): Future[Seq[RankedCandidate]] = { + val candidateSize = candidates.size + val rankedCandidates = candidates.zipWithIndex.map { + case (candidate, index) => + candidate.toRankedCandidate((candidateSize - index).toDouble) + } + Future.value(rankedCandidates) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/SwitchRanker.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/SwitchRanker.scala new file mode 100644 index 000000000..da44f664e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/ranker/SwitchRanker.scala @@ -0,0 +1,46 @@ +package com.twitter.cr_mixer.ranker + +import com.twitter.cr_mixer.model.BlendedCandidate +import com.twitter.cr_mixer.model.CrCandidateGeneratorQuery +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.util.Future +import com.twitter.util.JavaTimer +import com.twitter.util.Time +import com.twitter.util.Timer +import javax.inject.Inject +import javax.inject.Singleton + +/** + * CR-Mixer internal ranker + */ +@Singleton +class SwitchRanker @Inject() ( + defaultRanker: DefaultRanker, + globalStats: StatsReceiver) { + private val stats: StatsReceiver = globalStats.scope(this.getClass.getCanonicalName) + implicit val timer: Timer = new JavaTimer(true) + + def rank( + query: CrCandidateGeneratorQuery, + candidates: Seq[BlendedCandidate], + ): Future[Seq[RankedCandidate]] = { + defaultRanker.rank(candidates) + } + +} + +object SwitchRanker { + + /** Prefers candidates generated from sources with the latest timestamps. + * The newer the source signal, the higher a candidate ranks. + * This ordering biases against consumer-based candidates because their timestamp defaults to 0 + */ + val TimestampOrder: Ordering[RankedCandidate] = + math.Ordering + .by[RankedCandidate, Time]( + _.reasonChosen.sourceInfoOpt + .flatMap(_.sourceEventTime) + .getOrElse(Time.fromMilliseconds(0L))) + .reverse +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe/BUILD new file mode 100644 index 000000000..8e6ae5049 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe/BUILD @@ -0,0 +1,22 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "finagle-internal/mtls/src/main/scala/com/twitter/finagle/mtls/authentication", + "finagle/finagle-core/src/main", + "frigate/frigate-common:base", + "frigate/frigate-common:util", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "scrooge/scrooge-serializer/src/main/scala", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "util-internal/scribe/src/main/scala/com/twitter/logging", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe/ScribeCategory.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe/ScribeCategory.scala new file mode 100644 index 000000000..b86c9174f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/scribe/ScribeCategory.scala @@ -0,0 +1,64 @@ +package com.twitter.cr_mixer.scribe + +/** + * Categories define scribe categories used in cr-mixer service. + */ +object ScribeCategories { + lazy val AllCategories = + List(AbDecider, TopLevelApiDdgMetrics, TweetsRecs) + + /** + * AbDecider represents scribe logs for experiments + */ + lazy val AbDecider: ScribeCategory = ScribeCategory( + "abdecider_scribe", + "client_event" + ) + + /** + * Top-Level Client event scribe logs, to record changes in system metrics (e.g. latency, + * candidates returned, empty rate ) per experiment bucket, and store them in DDG metric group + */ + lazy val TopLevelApiDdgMetrics: ScribeCategory = ScribeCategory( + "top_level_api_ddg_metrics_scribe", + "client_event" + ) + + lazy val TweetsRecs: ScribeCategory = ScribeCategory( + "get_tweets_recommendations_scribe", + "cr_mixer_get_tweets_recommendations" + ) + + lazy val VITTweetsRecs: ScribeCategory = ScribeCategory( + "get_vit_tweets_recommendations_scribe", + "cr_mixer_get_vit_tweets_recommendations" + ) + + lazy val RelatedTweets: ScribeCategory = ScribeCategory( + "get_related_tweets_scribe", + "cr_mixer_get_related_tweets" + ) + + lazy val UtegTweets: ScribeCategory = ScribeCategory( + "get_uteg_tweets_scribe", + "cr_mixer_get_uteg_tweets" + ) + + lazy val AdsRecommendations: ScribeCategory = ScribeCategory( + "get_ads_recommendations_scribe", + "cr_mixer_get_ads_recommendations" + ) +} + +/** + * Category represents each scribe log data. + * + * @param loggerFactoryNode loggerFactory node name in cr-mixer associated with this scribe category + * @param scribeCategory scribe category name (globally unique at Twitter) + */ +case class ScribeCategory( + loggerFactoryNode: String, + scribeCategory: String) { + def getProdLoggerFactoryNode: String = loggerFactoryNode + def getStagingLoggerFactoryNode: String = "staging_" + loggerFactoryNode +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/service/BUILD.bazel b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/service/BUILD.bazel new file mode 100644 index 000000000..8fa46c772 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/service/BUILD.bazel @@ -0,0 +1,15 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry", + "stitch/stitch-core", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/service/CrMixerAlertNotificationConfig.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/service/CrMixerAlertNotificationConfig.scala new file mode 100644 index 000000000..df0572ef1 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/service/CrMixerAlertNotificationConfig.scala @@ -0,0 +1,26 @@ +package com.twitter.cr_mixer.service + +import com.twitter.product_mixer.core.functional_component.common.alert.Destination +import com.twitter.product_mixer.core.functional_component.common.alert.NotificationGroup + +/** + * Notifications (email, pagerduty, etc) can be specific per-alert but it is common for multiple + * products to share notification configuration. + * + * Our configuration uses only email notifications because SampleMixer is a demonstration service + * with neither internal nor customer-facing users. You will likely want to use a PagerDuty + * destination instead. For example: + * {{{ + * critical = Destination(pagerDutyKey = Some("your-pagerduty-key")) + * }}} + * + * + * For more information about how to get a PagerDuty key, see: + * https://docbird.twitter.biz/mon/how-to-guides.html?highlight=notificationgroup#set-up-email-pagerduty-and-slack-notifications + */ +object CrMixerAlertNotificationConfig { + val DefaultNotificationGroup: NotificationGroup = NotificationGroup( + warn = Destination(emails = Seq("no-reply@twitter.com")), + critical = Destination(emails = Seq("no-reply@twitter.com")) + ) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/BUILD new file mode 100644 index 000000000..c7ae7c752 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/BUILD @@ -0,0 +1,74 @@ +scala_library( + sources = [ + "*.scala", + ], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/com/twitter/storehaus:memcache", + "3rdparty/jvm/io/grpc:grpc-api", + "3rdparty/jvm/io/grpc:grpc-auth", + "3rdparty/jvm/io/grpc:grpc-core", + "3rdparty/jvm/io/grpc:grpc-netty", + "3rdparty/jvm/io/grpc:grpc-protobuf", + "3rdparty/jvm/io/grpc:grpc-stub", + "3rdparty/jvm/io/opil:tensorflow-serving-client", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/src/jvm/com/twitter/storehaus:core", + "ann/src/main/scala/com/twitter/ann/hnsw", + "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", + "configapi/configapi-core", + "content-recommender/thrift/src/main/thrift:thrift-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/exception", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "finagle-internal/finagle-grpc/src/main/scala", + "finagle-internal/mtls/src/main/scala/com/twitter/finagle/mtls/client", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "frigate/frigate-common:base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/candidate", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store/strato", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/util", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/util:stats_util", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/store/common", + "mediaservices/commons/src/main/scala:futuretracker", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "qig-ranker/thrift/src/main/thrift:thrift-scala", + "relevance-platform/src/main/scala/com/twitter/relevance_platform/common/injection", + "relevance-platform/src/main/scala/com/twitter/relevance_platform/simclustersann/multicluster", + "simclusters-ann/thrift/src/main/thrift:thrift-scala", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/java/com/twitter/search/common/schema/base", + "src/java/com/twitter/search/common/schema/earlybird", + "src/java/com/twitter/search/queryparser/query:core-query-nodes", + "src/java/com/twitter/search/queryparser/query/search:search-query-nodes", + "src/scala/com/twitter/cortex/ml/embeddings/common:Helpers", + "src/scala/com/twitter/ml/featurestore/lib", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/ml/api:embedding-scala", + "src/thrift/com/twitter/recos:recos-common-scala", + "src/thrift/com/twitter/recos/user_ad_graph:user_ad_graph-scala", + "src/thrift/com/twitter/recos/user_tweet_entity_graph:user_tweet_entity_graph-scala", + "src/thrift/com/twitter/recos/user_tweet_graph:user_tweet_graph-scala", + "src/thrift/com/twitter/recos/user_video_graph:user_video_graph-scala", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/search/common:ranking-scala", + "src/thrift/com/twitter/search/query_interaction_graph/service:qig-service-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "src/thrift/com/twitter/topic_recos:topic_recos-thrift-scala", + "src/thrift/com/twitter/trends/trip_v1:trip-tweets-thrift-scala", + "src/thrift/com/twitter/twistly:twistly-scala", + "strato/src/main/scala/com/twitter/strato/client", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/CertoTopicTweetSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/CertoTopicTweetSimilarityEngine.scala new file mode 100644 index 000000000..a57085d0f --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/CertoTopicTweetSimilarityEngine.scala @@ -0,0 +1,94 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TopicTweetWithScore +import com.twitter.cr_mixer.param.TopicTweetParams +import com.twitter.cr_mixer.similarity_engine.CertoTopicTweetSimilarityEngine._ +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.thriftscala.TopicId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.topic_recos.thriftscala._ +import com.twitter.util.Future + +@Singleton +case class CertoTopicTweetSimilarityEngine @Inject() ( + @Named(ModuleNames.CertoStratoStoreName) certoStratoStore: ReadableStore[ + TopicId, + Seq[TweetWithScores] + ], + statsReceiver: StatsReceiver) + extends ReadableStore[EngineQuery[Query], Seq[TopicTweetWithScore]] { + + private val name: String = this.getClass.getSimpleName + private val stats = statsReceiver.scope(name) + + override def get(query: EngineQuery[Query]): Future[Option[Seq[TopicTweetWithScore]]] = { + StatsUtil.trackOptionItemsStats(stats) { + topTweetsByFollowerL2NormalizedScore.get(query).map { + _.map { topicTopTweets => + topicTopTweets.map { topicTweet => + TopicTweetWithScore( + tweetId = topicTweet.tweetId, + score = topicTweet.scores.followerL2NormalizedCosineSimilarity8HrHalfLife, + similarityEngineType = SimilarityEngineType.CertoTopicTweet + ) + } + } + } + } + } + + private val topTweetsByFollowerL2NormalizedScore: ReadableStore[EngineQuery[Query], Seq[ + TweetWithScores + ]] = { + ReadableStore.fromFnFuture { query: EngineQuery[Query] => + StatsUtil.trackOptionItemsStats(stats) { + for { + topKTweetsWithScores <- certoStratoStore.get(query.storeQuery.topicId) + } yield { + topKTweetsWithScores.map( + _.filter( + _.scores.followerL2NormalizedCosineSimilarity8HrHalfLife >= query.storeQuery.certoScoreTheshold) + .take(query.storeQuery.maxCandidates)) + } + } + } + } +} + +object CertoTopicTweetSimilarityEngine { + + // Query is used as a cache key. Do not add any user level information in this. + case class Query( + topicId: TopicId, + maxCandidates: Int, + certoScoreTheshold: Double) + + def fromParams( + topicId: TopicId, + isVideoOnly: Boolean, + params: configapi.Params, + ): EngineQuery[Query] = { + + val maxCandidates = if (isVideoOnly) { + params(TopicTweetParams.MaxCertoCandidatesParam) * 2 + } else { + params(TopicTweetParams.MaxCertoCandidatesParam) + } + + EngineQuery( + Query( + topicId = topicId, + maxCandidates = maxCandidates, + certoScoreTheshold = params(TopicTweetParams.CertoScoreThresholdParam) + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerBasedWalsSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerBasedWalsSimilarityEngine.scala new file mode 100644 index 000000000..599704fa7 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerBasedWalsSimilarityEngine.scala @@ -0,0 +1,246 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.ConsumerBasedWalsParams +import com.twitter.cr_mixer.similarity_engine.ConsumerBasedWalsSimilarityEngine.Query +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import io.grpc.ManagedChannel +import tensorflow.serving.Predict.PredictRequest +import tensorflow.serving.Predict.PredictResponse +import tensorflow.serving.PredictionServiceGrpc +import org.tensorflow.example.Feature +import org.tensorflow.example.Int64List +import org.tensorflow.example.FloatList +import org.tensorflow.example.Features +import org.tensorflow.example.Example +import tensorflow.serving.Model +import org.tensorflow.framework.TensorProto +import org.tensorflow.framework.DataType +import org.tensorflow.framework.TensorShapeProto +import com.twitter.finagle.grpc.FutureConverters +import java.util.ArrayList +import java.lang +import com.twitter.util.Return +import com.twitter.util.Throw +import java.util.concurrent.ConcurrentHashMap +import scala.jdk.CollectionConverters._ + +// Stats object maintain a set of stats that are specific to the Wals Engine. +case class WalsStats(scope: String, scopedStats: StatsReceiver) { + + val requestStat = scopedStats.scope(scope) + val inputSignalSize = requestStat.stat("input_signal_size") + + val latency = requestStat.stat("latency_ms") + val latencyOnError = requestStat.stat("error_latency_ms") + val latencyOnSuccess = requestStat.stat("success_latency_ms") + + val requests = requestStat.counter("requests") + val success = requestStat.counter("success") + val failures = requestStat.scope("failures") + + def onFailure(t: Throwable, startTimeMs: Long) { + val duration = System.currentTimeMillis() - startTimeMs + latency.add(duration) + latencyOnError.add(duration) + failures.counter(t.getClass.getName).incr() + } + + def onSuccess(startTimeMs: Long) { + val duration = System.currentTimeMillis() - startTimeMs + latency.add(duration) + latencyOnSuccess.add(duration) + success.incr() + } +} + +// StatsMap maintains a mapping from Model's input signature to a stats receiver +// The Wals model suports multiple input signature which can run different graphs internally and +// can have a different performance profile. +// Invoking StatsReceiver.stat() on each request can create a new stat object and can be expensive +// in performance critical paths. +object WalsStatsMap { + val mapping = new ConcurrentHashMap[String, WalsStats]() + + def get(scope: String, scopedStats: StatsReceiver): WalsStats = { + mapping.computeIfAbsent(scope, (scope) => WalsStats(scope, scopedStats)) + } +} + +case class ConsumerBasedWalsSimilarityEngine( + homeNaviGRPCClient: ManagedChannel, + adsFavedNaviGRPCClient: ManagedChannel, + adsMonetizableNaviGRPCClient: ManagedChannel, + statsReceiver: StatsReceiver) + extends ReadableStore[ + Query, + Seq[TweetWithScore] + ] { + + override def get( + query: ConsumerBasedWalsSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + val startTimeMs = System.currentTimeMillis() + val stats = + WalsStatsMap.get( + query.wilyNsName + "/" + query.modelSignatureName, + statsReceiver.scope("NaviPredictionService") + ) + stats.requests.incr() + stats.inputSignalSize.add(query.sourceIds.size) + try { + // avoid inference calls is source signals are empty + if (query.sourceIds.isEmpty) { + Future.value(Some(Seq.empty)) + } else { + val grpcClient = query.wilyNsName match { + case "navi-wals-recommended-tweets-home-client" => homeNaviGRPCClient + case "navi-wals-ads-faved-tweets" => adsFavedNaviGRPCClient + case "navi-wals-ads-monetizable-tweets" => adsFavedNaviGRPCClient + // default to homeNaviGRPCClient + case _ => homeNaviGRPCClient + } + val stub = PredictionServiceGrpc.newFutureStub(grpcClient) + val inferRequest = getModelInput(query) + + FutureConverters + .RichListenableFuture(stub.predict(inferRequest)).toTwitter + .transform { + case Return(resp) => + stats.onSuccess(startTimeMs) + Future.value(Some(getModelOutput(query, resp))) + case Throw(e) => + stats.onFailure(e, startTimeMs) + Future.exception(e) + } + } + } catch { + case e: Throwable => Future.exception(e) + } + } + + def getFeaturesForRecommendations(query: ConsumerBasedWalsSimilarityEngine.Query): Example = { + val tweetIds = new ArrayList[lang.Long]() + val tweetFaveWeight = new ArrayList[lang.Float]() + + query.sourceIds.foreach { sourceInfo => + val weight = sourceInfo.sourceType match { + case SourceType.TweetFavorite | SourceType.Retweet => 1.0f + // currently no-op - as we do not get negative signals + case SourceType.TweetDontLike | SourceType.TweetReport | SourceType.AccountMute | + SourceType.AccountBlock => + 0.0f + case _ => 0.0f + } + sourceInfo.internalId match { + case InternalId.TweetId(tweetId) => + tweetIds.add(tweetId) + tweetFaveWeight.add(weight) + case _ => + throw new IllegalArgumentException( + s"Invalid InternalID - does not contain TweetId for Source Signal: ${sourceInfo}") + } + } + + val tweetIdsFeature = + Feature + .newBuilder().setInt64List( + Int64List + .newBuilder().addAllValue(tweetIds).build() + ).build() + + val tweetWeightsFeature = Feature + .newBuilder().setFloatList( + FloatList.newBuilder().addAllValue(tweetFaveWeight).build()).build() + + val features = Features + .newBuilder() + .putFeature("tweet_ids", tweetIdsFeature) + .putFeature("tweet_weights", tweetWeightsFeature) + .build() + Example.newBuilder().setFeatures(features).build() + } + + def getModelInput(query: ConsumerBasedWalsSimilarityEngine.Query): PredictRequest = { + val tfExample = getFeaturesForRecommendations(query) + + val inferenceRequest = PredictRequest + .newBuilder() + .setModelSpec( + Model.ModelSpec + .newBuilder() + .setName(query.modelName) + .setSignatureName(query.modelSignatureName)) + .putInputs( + query.modelInputName, + TensorProto + .newBuilder() + .setDtype(DataType.DT_STRING) + .setTensorShape(TensorShapeProto + .newBuilder() + .addDim(TensorShapeProto.Dim.newBuilder().setSize(1))) + .addStringVal(tfExample.toByteString) + .build() + ).build() + inferenceRequest + } + + def getModelOutput(query: Query, response: PredictResponse): Seq[TweetWithScore] = { + val outputName = query.modelOutputName + if (response.containsOutputs(outputName)) { + val tweetList = response.getOutputsMap + .get(outputName) + .getInt64ValList.asScala + tweetList.zip(tweetList.size to 1 by -1).map { (tweetWithScore) => + TweetWithScore(tweetWithScore._1, tweetWithScore._2.toLong) + } + } else { + Seq.empty + } + } +} + +object ConsumerBasedWalsSimilarityEngine { + case class Query( + sourceIds: Seq[SourceInfo], + modelName: String, + modelInputName: String, + modelOutputName: String, + modelSignatureName: String, + wilyNsName: String, + ) + + def fromParams( + sourceIds: Seq[SourceInfo], + params: configapi.Params, + ): EngineQuery[Query] = { + EngineQuery( + Query( + sourceIds, + params(ConsumerBasedWalsParams.ModelNameParam), + params(ConsumerBasedWalsParams.ModelInputNameParam), + params(ConsumerBasedWalsParams.ModelOutputNameParam), + params(ConsumerBasedWalsParams.ModelSignatureNameParam), + params(ConsumerBasedWalsParams.WilyNsNameParam), + ), + params + ) + } + + def toSimilarityEngineInfo( + score: Double + ): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.ConsumerBasedWalsANN, + modelId = None, + score = Some(score)) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTripSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTripSimilarityEngine.scala new file mode 100644 index 000000000..82a074208 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTripSimilarityEngine.scala @@ -0,0 +1,118 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.TripTweetWithScore +import com.twitter.cr_mixer.param.ConsumerEmbeddingBasedTripParams +import com.twitter.cr_mixer.util.InterleaveUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.ClusterId +import com.twitter.simclusters_v2.common.SimClustersEmbedding +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.timelines.configapi.Params +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.Cluster +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.ClusterDomain +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.TripTweet +import com.twitter.trends.trip_v1.trip_tweets.thriftscala.TripDomain +import com.twitter.util.Future + +case class TripEngineQuery( + modelId: String, + sourceId: InternalId, + tripSourceId: String, + maxResult: Int, + params: Params) + +case class ConsumerEmbeddingBasedTripSimilarityEngine( + embeddingStoreLookUpMap: Map[String, ReadableStore[UserId, SimClustersEmbedding]], + tripCandidateSource: ReadableStore[TripDomain, Seq[TripTweet]], + statsReceiver: StatsReceiver, +) extends ReadableStore[TripEngineQuery, Seq[TripTweetWithScore]] { + import ConsumerEmbeddingBasedTripSimilarityEngine._ + + private val scopedStats = statsReceiver.scope(name) + private def fetchTopClusters(query: TripEngineQuery): Future[Option[Seq[ClusterId]]] = { + query.sourceId match { + case InternalId.UserId(userId) => + val embeddingStore = embeddingStoreLookUpMap.getOrElse( + query.modelId, + throw new IllegalArgumentException( + s"${this.getClass.getSimpleName}: " + + s"ModelId ${query.modelId} does not exist for embeddingStore" + ) + ) + embeddingStore.get(userId).map(_.map(_.topClusterIds(MaxClusters))) + case _ => + Future.None + } + } + private def fetchCandidates( + topClusters: Seq[ClusterId], + tripSourceId: String + ): Future[Seq[Seq[TripTweetWithScore]]] = { + Future + .collect { + topClusters.map { clusterId => + tripCandidateSource + .get( + TripDomain( + sourceId = tripSourceId, + clusterDomain = Some( + ClusterDomain(simCluster = Some(Cluster(clusterIntId = Some(clusterId))))))).map { + _.map { + _.collect { + case TripTweet(tweetId, score) => + TripTweetWithScore(tweetId, score) + } + }.getOrElse(Seq.empty).take(MaxNumResultsPerCluster) + } + } + } + } + + override def get(engineQuery: TripEngineQuery): Future[Option[Seq[TripTweetWithScore]]] = { + val fetchTopClustersStat = scopedStats.scope(engineQuery.modelId).scope("fetchTopClusters") + val fetchCandidatesStat = scopedStats.scope(engineQuery.modelId).scope("fetchCandidates") + + for { + topClustersOpt <- StatsUtil.trackOptionStats(fetchTopClustersStat) { + fetchTopClusters(engineQuery) + } + candidates <- StatsUtil.trackItemsStats(fetchCandidatesStat) { + topClustersOpt match { + case Some(topClusters) => fetchCandidates(topClusters, engineQuery.tripSourceId) + case None => Future.Nil + } + } + } yield { + val interleavedTweets = InterleaveUtil.interleave(candidates) + val dedupCandidates = interleavedTweets + .groupBy(_.tweetId).flatMap { + case (_, tweetWithScoreSeq) => tweetWithScoreSeq.sortBy(-_.score).take(1) + }.toSeq.take(engineQuery.maxResult) + Some(dedupCandidates) + } + } +} + +object ConsumerEmbeddingBasedTripSimilarityEngine { + private val MaxClusters: Int = 8 + private val MaxNumResultsPerCluster: Int = 25 + private val name: String = this.getClass.getSimpleName + + def fromParams( + modelId: String, + sourceId: InternalId, + params: configapi.Params + ): TripEngineQuery = { + TripEngineQuery( + modelId = modelId, + sourceId = sourceId, + tripSourceId = params(ConsumerEmbeddingBasedTripParams.SourceIdParam), + maxResult = params(ConsumerEmbeddingBasedTripParams.MaxNumCandidatesParam), + params = params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTwHINSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTwHINSimilarityEngine.scala new file mode 100644 index 000000000..ed722f3eb --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTwHINSimilarityEngine.scala @@ -0,0 +1,18 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.param.ConsumerEmbeddingBasedTwHINParams +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.timelines.configapi + +object ConsumerEmbeddingBasedTwHINSimilarityEngine { + def fromParams( + sourceId: InternalId, + params: configapi.Params, + ): HnswANNEngineQuery = { + HnswANNEngineQuery( + sourceId = sourceId, + modelId = params(ConsumerEmbeddingBasedTwHINParams.ModelIdParam), + params = params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTwoTowerSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTwoTowerSimilarityEngine.scala new file mode 100644 index 000000000..c63d517d6 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumerEmbeddingBasedTwoTowerSimilarityEngine.scala @@ -0,0 +1,18 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.param.ConsumerEmbeddingBasedTwoTowerParams +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.timelines.configapi + +object ConsumerEmbeddingBasedTwoTowerSimilarityEngine { + def fromParams( + sourceId: InternalId, + params: configapi.Params, + ): HnswANNEngineQuery = { + HnswANNEngineQuery( + sourceId = sourceId, + modelId = params(ConsumerEmbeddingBasedTwoTowerParams.ModelIdParam), + params = params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumersBasedUserAdGraphSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumersBasedUserAdGraphSimilarityEngine.scala new file mode 100644 index 000000000..585edc584 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumersBasedUserAdGraphSimilarityEngine.scala @@ -0,0 +1,90 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.ConsumersBasedUserAdGraphParams +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.recos.user_ad_graph.thriftscala.ConsumersBasedRelatedAdRequest +import com.twitter.recos.user_ad_graph.thriftscala.RelatedAdResponse +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Singleton + +/** + * This store uses the graph based input (a list of userIds) + * to query consumersBasedUserAdGraph and get their top engaged ad tweets + */ +@Singleton +case class ConsumersBasedUserAdGraphSimilarityEngine( + consumersBasedUserAdGraphStore: ReadableStore[ + ConsumersBasedRelatedAdRequest, + RelatedAdResponse + ], + statsReceiver: StatsReceiver) + extends ReadableStore[ + ConsumersBasedUserAdGraphSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + override def get( + query: ConsumersBasedUserAdGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + val consumersBasedRelatedAdRequest = + ConsumersBasedRelatedAdRequest( + query.seedWithScores.keySet.toSeq, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + minScore = Some(query.minScore), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours) + ) + consumersBasedUserAdGraphStore + .get(consumersBasedRelatedAdRequest) + .map { relatedAdResponseOpt => + relatedAdResponseOpt.map { relatedAdResponse => + relatedAdResponse.adTweets.map { tweet => + TweetWithScore(tweet.adTweetId, tweet.score) + } + } + } + } +} + +object ConsumersBasedUserAdGraphSimilarityEngine { + + case class Query( + seedWithScores: Map[UserId, Double], + maxResults: Int, + minCooccurrence: Int, + minScore: Double, + maxTweetAgeInHours: Int) + + def toSimilarityEngineInfo( + score: Double + ): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.ConsumersBasedUserAdGraph, + modelId = None, + score = Some(score)) + } + + def fromParams( + seedWithScores: Map[UserId, Double], + params: configapi.Params, + ): EngineQuery[Query] = { + + EngineQuery( + Query( + seedWithScores = seedWithScores, + maxResults = params(GlobalParams.MaxCandidateNumPerSourceKeyParam), + minCooccurrence = params(ConsumersBasedUserAdGraphParams.MinCoOccurrenceParam), + minScore = params(ConsumersBasedUserAdGraphParams.MinScoreParam), + maxTweetAgeInHours = params(GlobalParams.MaxTweetAgeHoursParam).inHours, + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumersBasedUserVideoGraphSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumersBasedUserVideoGraphSimilarityEngine.scala new file mode 100644 index 000000000..633f5ee6d --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ConsumersBasedUserVideoGraphSimilarityEngine.scala @@ -0,0 +1,91 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.ConsumersBasedUserVideoGraphParams +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.recos.user_video_graph.thriftscala.ConsumersBasedRelatedTweetRequest +import com.twitter.recos.user_video_graph.thriftscala.RelatedTweetResponse +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Singleton + +/** + * This store uses the graph based input (a list of userIds) + * to query consumersBasedUserVideoGraph and get their top engaged tweets + */ +@Singleton +case class ConsumersBasedUserVideoGraphSimilarityEngine( + consumersBasedUserVideoGraphStore: ReadableStore[ + ConsumersBasedRelatedTweetRequest, + RelatedTweetResponse + ], + statsReceiver: StatsReceiver) + extends ReadableStore[ + ConsumersBasedUserVideoGraphSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + override def get( + query: ConsumersBasedUserVideoGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + val consumersBasedRelatedTweetRequest = + ConsumersBasedRelatedTweetRequest( + query.seedWithScores.keySet.toSeq, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + minScore = Some(query.minScore), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours) + ) + consumersBasedUserVideoGraphStore + .get(consumersBasedRelatedTweetRequest) + .map { relatedTweetResponseOpt => + relatedTweetResponseOpt.map { relatedTweetResponse => + relatedTweetResponse.tweets.map { tweet => + TweetWithScore(tweet.tweetId, tweet.score) + } + } + } + } +} + +object ConsumersBasedUserVideoGraphSimilarityEngine { + + case class Query( + seedWithScores: Map[UserId, Double], + maxResults: Int, + minCooccurrence: Int, + minScore: Double, + maxTweetAgeInHours: Int) + + def toSimilarityEngineInfo( + score: Double + ): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.ConsumersBasedUserVideoGraph, + modelId = None, + score = Some(score)) + } + + def fromParamsForRealGraphIn( + seedWithScores: Map[UserId, Double], + params: configapi.Params, + ): EngineQuery[Query] = { + + EngineQuery( + Query( + seedWithScores = seedWithScores, + maxResults = params(GlobalParams.MaxCandidateNumPerSourceKeyParam), + minCooccurrence = + params(ConsumersBasedUserVideoGraphParams.RealGraphInMinCoOccurrenceParam), + minScore = params(ConsumersBasedUserVideoGraphParams.RealGraphInMinScoreParam), + maxTweetAgeInHours = params(GlobalParams.MaxTweetAgeHoursParam).inHours + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/DiffusionBasedSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/DiffusionBasedSimilarityEngine.scala new file mode 100644 index 000000000..a1bc0e248 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/DiffusionBasedSimilarityEngine.scala @@ -0,0 +1,73 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.simclusters_v2.thriftscala.TweetsWithScore +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Singleton + +@Singleton +case class DiffusionBasedSimilarityEngine( + retweetBasedDiffusionRecsMhStore: ReadableStore[Long, TweetsWithScore], + statsReceiver: StatsReceiver) + extends ReadableStore[ + DiffusionBasedSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + override def get( + query: DiffusionBasedSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + + query.sourceId match { + case InternalId.UserId(userId) => + retweetBasedDiffusionRecsMhStore.get(userId).map { + _.map { tweetsWithScore => + { + tweetsWithScore.tweets + .map(tweet => TweetWithScore(tweet.tweetId, tweet.score)) + } + } + } + case _ => + Future.None + } + } +} + +object DiffusionBasedSimilarityEngine { + + val defaultScore: Double = 0.0 + + case class Query( + sourceId: InternalId, + ) + + def toSimilarityEngineInfo( + query: LookupEngineQuery[Query], + score: Double + ): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.DiffusionBasedTweet, + modelId = Some(query.lookupKey), + score = Some(score)) + } + + def fromParams( + sourceId: InternalId, + modelId: String, + params: configapi.Params, + ): LookupEngineQuery[Query] = { + LookupEngineQuery( + Query(sourceId = sourceId), + modelId, + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdModelBasedSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdModelBasedSimilarityEngine.scala new file mode 100644 index 000000000..da82b4eb1 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdModelBasedSimilarityEngine.scala @@ -0,0 +1,92 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.EarlybirdModelBasedSimilarityEngine.EarlybirdModelBasedSearchQuery +import com.twitter.cr_mixer.similarity_engine.EarlybirdSimilarityEngineBase._ +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.EarlybirdClientId +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.FacetsToFetch +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.MetadataOptions +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.tracing.Trace +import com.twitter.search.common.ranking.thriftscala.ThriftRankingParams +import com.twitter.search.common.ranking.thriftscala.ThriftScoringFunctionType +import com.twitter.search.earlybird.thriftscala.EarlybirdRequest +import com.twitter.search.earlybird.thriftscala.EarlybirdService +import com.twitter.search.earlybird.thriftscala.ThriftSearchQuery +import com.twitter.search.earlybird.thriftscala.ThriftSearchRankingMode +import com.twitter.search.earlybird.thriftscala.ThriftSearchRelevanceOptions +import com.twitter.simclusters_v2.common.UserId +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class EarlybirdModelBasedSimilarityEngine @Inject() ( + earlybirdSearchClient: EarlybirdService.MethodPerEndpoint, + timeoutConfig: TimeoutConfig, + stats: StatsReceiver) + extends EarlybirdSimilarityEngineBase[EarlybirdModelBasedSearchQuery] { + import EarlybirdModelBasedSimilarityEngine._ + override val statsReceiver: StatsReceiver = stats.scope(this.getClass.getSimpleName) + override def getEarlybirdRequest( + query: EarlybirdModelBasedSearchQuery + ): Option[EarlybirdRequest] = + if (query.seedUserIds.nonEmpty) + Some( + EarlybirdRequest( + searchQuery = getThriftSearchQuery(query), + clientId = Some(EarlybirdClientId), + timeoutMs = timeoutConfig.earlybirdServerTimeout.inMilliseconds.intValue(), + clientRequestID = Some(s"${Trace.id.traceId}"), + )) + else None +} + +object EarlybirdModelBasedSimilarityEngine { + case class EarlybirdModelBasedSearchQuery( + seedUserIds: Seq[UserId], + maxNumTweets: Int, + oldestTweetTimestampInSec: Option[UserId], + frsUserToScoresForScoreAdjustment: Option[Map[UserId, Double]]) + extends EarlybirdSearchQuery + + /** + * Used by Push Service + */ + val RealGraphScoringModel = "frigate_unified_engagement_rg" + val MaxHitsToProcess = 1000 + val MaxConsecutiveSameUser = 1 + + private def getModelBasedRankingParams( + authorSpecificScoreAdjustments: Map[Long, Double] + ): ThriftRankingParams = ThriftRankingParams( + `type` = Some(ThriftScoringFunctionType.ModelBased), + selectedModels = Some(Map(RealGraphScoringModel -> 1.0)), + applyBoosts = false, + authorSpecificScoreAdjustments = Some(authorSpecificScoreAdjustments) + ) + + private def getRelevanceOptions( + authorSpecificScoreAdjustments: Map[Long, Double], + ): ThriftSearchRelevanceOptions = { + ThriftSearchRelevanceOptions( + maxConsecutiveSameUser = Some(MaxConsecutiveSameUser), + rankingParams = Some(getModelBasedRankingParams(authorSpecificScoreAdjustments)), + maxHitsToProcess = Some(MaxHitsToProcess), + orderByRelevance = true + ) + } + + private def getThriftSearchQuery(query: EarlybirdModelBasedSearchQuery): ThriftSearchQuery = + ThriftSearchQuery( + serializedQuery = Some(f"(* [since_time ${query.oldestTweetTimestampInSec.getOrElse(0)}])"), + fromUserIDFilter64 = Some(query.seedUserIds), + numResults = query.maxNumTweets, + maxHitsToProcess = MaxHitsToProcess, + rankingMode = ThriftSearchRankingMode.Relevance, + relevanceOptions = + Some(getRelevanceOptions(query.frsUserToScoresForScoreAdjustment.getOrElse(Map.empty))), + facetFieldNames = Some(FacetsToFetch), + resultMetadataOptions = Some(MetadataOptions), + searcherId = None + ) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdRecencyBasedSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdRecencyBasedSimilarityEngine.scala new file mode 100644 index 000000000..988d666a4 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdRecencyBasedSimilarityEngine.scala @@ -0,0 +1,86 @@ +package com.twitter.cr_mixer.similarity_engine +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TweetWithAuthor +import com.twitter.cr_mixer.similarity_engine.EarlybirdRecencyBasedSimilarityEngine.EarlybirdRecencyBasedSearchQuery +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +case class EarlybirdRecencyBasedSimilarityEngine @Inject() ( + @Named(ModuleNames.EarlybirdRecencyBasedWithoutRetweetsRepliesTweetsCache) + earlybirdRecencyBasedWithoutRetweetsRepliesTweetsCacheStore: ReadableStore[ + UserId, + Seq[TweetId] + ], + @Named(ModuleNames.EarlybirdRecencyBasedWithRetweetsRepliesTweetsCache) + earlybirdRecencyBasedWithRetweetsRepliesTweetsCacheStore: ReadableStore[ + UserId, + Seq[TweetId] + ], + timeoutConfig: TimeoutConfig, + stats: StatsReceiver) + extends ReadableStore[EarlybirdRecencyBasedSearchQuery, Seq[TweetWithAuthor]] { + import EarlybirdRecencyBasedSimilarityEngine._ + val statsReceiver: StatsReceiver = stats.scope(this.getClass.getSimpleName) + + override def get( + query: EarlybirdRecencyBasedSearchQuery + ): Future[Option[Seq[TweetWithAuthor]]] = { + Future + .collect { + if (query.filterOutRetweetsAndReplies) { + query.seedUserIds.map { seedUserId => + StatsUtil.trackOptionItemsStats(statsReceiver.scope("WithoutRetweetsAndReplies")) { + earlybirdRecencyBasedWithoutRetweetsRepliesTweetsCacheStore + .get(seedUserId).map(_.map(_.map(tweetId => + TweetWithAuthor(tweetId = tweetId, authorId = seedUserId)))) + } + } + } else { + query.seedUserIds.map { seedUserId => + StatsUtil.trackOptionItemsStats(statsReceiver.scope("WithRetweetsAndReplies")) { + earlybirdRecencyBasedWithRetweetsRepliesTweetsCacheStore + .get(seedUserId) + .map(_.map(_.map(tweetId => + TweetWithAuthor(tweetId = tweetId, authorId = seedUserId)))) + } + } + } + } + .map { tweetWithAuthorList => + val earliestTweetId = SnowflakeId.firstIdFor(Time.now - query.maxTweetAge) + tweetWithAuthorList + .flatMap(_.getOrElse(Seq.empty)) + .filter(tweetWithAuthor => + tweetWithAuthor.tweetId >= earliestTweetId // tweet age filter + && !query.excludedTweetIds + .contains(tweetWithAuthor.tweetId)) // excluded tweet filter + .sortBy(tweetWithAuthor => + -SnowflakeId.unixTimeMillisFromId(tweetWithAuthor.tweetId)) // sort by recency + .take(query.maxNumTweets) // take most recent N tweets + } + .map(result => Some(result)) + } + +} + +object EarlybirdRecencyBasedSimilarityEngine { + case class EarlybirdRecencyBasedSearchQuery( + seedUserIds: Seq[UserId], + maxNumTweets: Int, + excludedTweetIds: Set[TweetId], + maxTweetAge: Duration, + filterOutRetweetsAndReplies: Boolean) + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngine.scala new file mode 100644 index 000000000..be23134eb --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngine.scala @@ -0,0 +1,32 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.TweetWithAuthor +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future + +class EarlybirdSimilarityEngine[ + Query, + EarlybirdSimilarityEngineStore <: ReadableStore[Query, Seq[TweetWithAuthor]] +]( + implementingStore: EarlybirdSimilarityEngineStore, + override val identifier: SimilarityEngineType, + globalStats: StatsReceiver, + engineConfig: SimilarityEngineConfig, +) extends SimilarityEngine[EngineQuery[Query], TweetWithAuthor] { + private val scopedStats = globalStats.scope("similarityEngine", identifier.toString) + + def getScopedStats: StatsReceiver = scopedStats + + def getCandidates(query: EngineQuery[Query]): Future[Option[Seq[TweetWithAuthor]]] = { + SimilarityEngine.getFromFn( + implementingStore.get, + query.storeQuery, + engineConfig, + query.params, + scopedStats + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngineBase.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngineBase.scala new file mode 100644 index 000000000..ab4eb408e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngineBase.scala @@ -0,0 +1,56 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.TweetWithAuthor +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.search.earlybird.thriftscala.EarlybirdRequest +import com.twitter.search.earlybird.thriftscala.EarlybirdResponseCode +import com.twitter.search.earlybird.thriftscala.EarlybirdService +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future + +/** + * This trait is a base trait for Earlybird similarity engines. All Earlybird similarity + * engines extend from it and override the construction method for EarlybirdRequest + */ +trait EarlybirdSimilarityEngineBase[EarlybirdSearchQuery] + extends ReadableStore[EarlybirdSearchQuery, Seq[TweetWithAuthor]] { + def earlybirdSearchClient: EarlybirdService.MethodPerEndpoint + + def statsReceiver: StatsReceiver + + def getEarlybirdRequest(query: EarlybirdSearchQuery): Option[EarlybirdRequest] + + override def get(query: EarlybirdSearchQuery): Future[Option[Seq[TweetWithAuthor]]] = { + getEarlybirdRequest(query) + .map { earlybirdRequest => + earlybirdSearchClient + .search(earlybirdRequest).map { response => + response.responseCode match { + case EarlybirdResponseCode.Success => + val earlybirdSearchResult = + response.searchResults + .map( + _.results + .map(searchResult => + TweetWithAuthor( + searchResult.id, + // fromUserId should be there since MetadataOptions.getFromUserId = true + searchResult.metadata.map(_.fromUserId).getOrElse(0))).toSeq) + statsReceiver.scope("result").stat("size").add(earlybirdSearchResult.size) + earlybirdSearchResult + case e => + statsReceiver.scope("failures").counter(e.getClass.getSimpleName).incr() + Some(Seq.empty) + } + } + }.getOrElse(Future.None) + } +} + +object EarlybirdSimilarityEngineBase { + trait EarlybirdSearchQuery { + def seedUserIds: Seq[UserId] + def maxNumTweets: Int + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngineRouter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngineRouter.scala new file mode 100644 index 000000000..3237f13f8 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdSimilarityEngineRouter.scala @@ -0,0 +1,136 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.EarlybirdSimilarityEngineType +import com.twitter.cr_mixer.model.EarlybirdSimilarityEngineType_ModelBased +import com.twitter.cr_mixer.model.EarlybirdSimilarityEngineType_RecencyBased +import com.twitter.cr_mixer.model.EarlybirdSimilarityEngineType_TensorflowBased +import com.twitter.cr_mixer.model.TweetWithAuthor +import com.twitter.cr_mixer.param.EarlybirdFrsBasedCandidateGenerationParams +import com.twitter.cr_mixer.param.EarlybirdFrsBasedCandidateGenerationParams.FrsBasedCandidateGenerationEarlybirdSimilarityEngineTypeParam +import com.twitter.cr_mixer.param.FrsParams.FrsBasedCandidateGenerationMaxCandidatesNumParam +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class EarlybirdSimilarityEngineRouter @Inject() ( + earlybirdRecencyBasedSimilarityEngine: EarlybirdSimilarityEngine[ + EarlybirdRecencyBasedSimilarityEngine.EarlybirdRecencyBasedSearchQuery, + EarlybirdRecencyBasedSimilarityEngine + ], + earlybirdModelBasedSimilarityEngine: EarlybirdSimilarityEngine[ + EarlybirdModelBasedSimilarityEngine.EarlybirdModelBasedSearchQuery, + EarlybirdModelBasedSimilarityEngine + ], + earlybirdTensorflowBasedSimilarityEngine: EarlybirdSimilarityEngine[ + EarlybirdTensorflowBasedSimilarityEngine.EarlybirdTensorflowBasedSearchQuery, + EarlybirdTensorflowBasedSimilarityEngine + ], + timeoutConfig: TimeoutConfig, + statsReceiver: StatsReceiver) + extends ReadableStore[EarlybirdSimilarityEngineRouter.Query, Seq[TweetWithAuthor]] { + import EarlybirdSimilarityEngineRouter._ + + override def get( + k: EarlybirdSimilarityEngineRouter.Query + ): Future[Option[Seq[TweetWithAuthor]]] = { + k.rankingMode match { + case EarlybirdSimilarityEngineType_RecencyBased => + earlybirdRecencyBasedSimilarityEngine.getCandidates(recencyBasedQueryFromParams(k)) + case EarlybirdSimilarityEngineType_ModelBased => + earlybirdModelBasedSimilarityEngine.getCandidates(modelBasedQueryFromParams(k)) + case EarlybirdSimilarityEngineType_TensorflowBased => + earlybirdTensorflowBasedSimilarityEngine.getCandidates(tensorflowBasedQueryFromParams(k)) + } + } +} + +object EarlybirdSimilarityEngineRouter { + case class Query( + searcherUserId: Option[UserId], + seedUserIds: Seq[UserId], + maxNumTweets: Int, + excludedTweetIds: Set[TweetId], + rankingMode: EarlybirdSimilarityEngineType, + frsUserToScoresForScoreAdjustment: Option[Map[UserId, Double]], + maxTweetAge: Duration, + filterOutRetweetsAndReplies: Boolean, + params: configapi.Params) + + def queryFromParams( + searcherUserId: Option[UserId], + seedUserIds: Seq[UserId], + excludedTweetIds: Set[TweetId], + frsUserToScoresForScoreAdjustment: Option[Map[UserId, Double]], + params: configapi.Params + ): Query = + Query( + searcherUserId, + seedUserIds, + maxNumTweets = params(FrsBasedCandidateGenerationMaxCandidatesNumParam), + excludedTweetIds, + rankingMode = + params(FrsBasedCandidateGenerationEarlybirdSimilarityEngineTypeParam).rankingMode, + frsUserToScoresForScoreAdjustment, + maxTweetAge = params( + EarlybirdFrsBasedCandidateGenerationParams.FrsBasedCandidateGenerationEarlybirdMaxTweetAge), + filterOutRetweetsAndReplies = params( + EarlybirdFrsBasedCandidateGenerationParams.FrsBasedCandidateGenerationEarlybirdFilterOutRetweetsAndReplies), + params + ) + + private def recencyBasedQueryFromParams( + query: Query + ): EngineQuery[EarlybirdRecencyBasedSimilarityEngine.EarlybirdRecencyBasedSearchQuery] = + EngineQuery( + EarlybirdRecencyBasedSimilarityEngine.EarlybirdRecencyBasedSearchQuery( + seedUserIds = query.seedUserIds, + maxNumTweets = query.maxNumTweets, + excludedTweetIds = query.excludedTweetIds, + maxTweetAge = query.maxTweetAge, + filterOutRetweetsAndReplies = query.filterOutRetweetsAndReplies + ), + query.params + ) + + private def tensorflowBasedQueryFromParams( + query: Query, + ): EngineQuery[EarlybirdTensorflowBasedSimilarityEngine.EarlybirdTensorflowBasedSearchQuery] = + EngineQuery( + EarlybirdTensorflowBasedSimilarityEngine.EarlybirdTensorflowBasedSearchQuery( + searcherUserId = query.searcherUserId, + seedUserIds = query.seedUserIds, + maxNumTweets = query.maxNumTweets, + // hard code the params below for now. Will move to FS after shipping the ddg + beforeTweetIdExclusive = None, + afterTweetIdExclusive = + Some(SnowflakeId.firstIdFor((Time.now - query.maxTweetAge).inMilliseconds)), + filterOutRetweetsAndReplies = query.filterOutRetweetsAndReplies, + useTensorflowRanking = true, + excludedTweetIds = query.excludedTweetIds, + maxNumHitsPerShard = 1000 + ), + query.params + ) + private def modelBasedQueryFromParams( + query: Query, + ): EngineQuery[EarlybirdModelBasedSimilarityEngine.EarlybirdModelBasedSearchQuery] = + EngineQuery( + EarlybirdModelBasedSimilarityEngine.EarlybirdModelBasedSearchQuery( + seedUserIds = query.seedUserIds, + maxNumTweets = query.maxNumTweets, + oldestTweetTimestampInSec = Some(query.maxTweetAge.ago.inSeconds), + frsUserToScoresForScoreAdjustment = query.frsUserToScoresForScoreAdjustment + ), + query.params + ) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdTensorflowBasedSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdTensorflowBasedSimilarityEngine.scala new file mode 100644 index 000000000..dd29a067b --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/EarlybirdTensorflowBasedSimilarityEngine.scala @@ -0,0 +1,171 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.search.earlybird.thriftscala.EarlybirdRequest +import com.twitter.search.earlybird.thriftscala.EarlybirdService +import com.twitter.search.earlybird.thriftscala.ThriftSearchQuery +import com.twitter.util.Time +import com.twitter.search.common.query.thriftjava.thriftscala.CollectorParams +import com.twitter.search.common.ranking.thriftscala.ThriftAgeDecayRankingParams +import com.twitter.search.common.ranking.thriftscala.ThriftLinearFeatureRankingParams +import com.twitter.search.common.ranking.thriftscala.ThriftRankingParams +import com.twitter.search.common.ranking.thriftscala.ThriftScoringFunctionType +import com.twitter.search.earlybird.thriftscala.ThriftSearchRelevanceOptions +import javax.inject.Inject +import javax.inject.Singleton +import EarlybirdSimilarityEngineBase._ +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.similarity_engine.EarlybirdTensorflowBasedSimilarityEngine.EarlybirdTensorflowBasedSearchQuery +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.EarlybirdClientId +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.FacetsToFetch +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.GetCollectorTerminationParams +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.GetEarlybirdQuery +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.MetadataOptions +import com.twitter.cr_mixer.util.EarlybirdSearchUtil.GetNamedDisjunctions +import com.twitter.search.earlybird.thriftscala.ThriftSearchRankingMode +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.common.UserId +import com.twitter.util.Duration + +@Singleton +case class EarlybirdTensorflowBasedSimilarityEngine @Inject() ( + earlybirdSearchClient: EarlybirdService.MethodPerEndpoint, + timeoutConfig: TimeoutConfig, + stats: StatsReceiver) + extends EarlybirdSimilarityEngineBase[EarlybirdTensorflowBasedSearchQuery] { + import EarlybirdTensorflowBasedSimilarityEngine._ + override val statsReceiver: StatsReceiver = stats.scope(this.getClass.getSimpleName) + override def getEarlybirdRequest( + query: EarlybirdTensorflowBasedSearchQuery + ): Option[EarlybirdRequest] = { + if (query.seedUserIds.nonEmpty) + Some( + EarlybirdRequest( + searchQuery = getThriftSearchQuery(query, timeoutConfig.earlybirdServerTimeout), + clientHost = None, + clientRequestID = None, + clientId = Some(EarlybirdClientId), + clientRequestTimeMs = Some(Time.now.inMilliseconds), + cachingParams = None, + timeoutMs = timeoutConfig.earlybirdServerTimeout.inMilliseconds.intValue(), + facetRequest = None, + termStatisticsRequest = None, + debugMode = 0, + debugOptions = None, + searchSegmentId = None, + returnStatusType = None, + successfulResponseThreshold = None, + querySource = None, + getOlderResults = Some(false), + followedUserIds = Some(query.seedUserIds), + adjustedProtectedRequestParams = None, + adjustedFullArchiveRequestParams = None, + getProtectedTweetsOnly = Some(false), + retokenizeSerializedQuery = None, + skipVeryRecentTweets = true, + experimentClusterToUse = None + )) + else None + } +} + +object EarlybirdTensorflowBasedSimilarityEngine { + case class EarlybirdTensorflowBasedSearchQuery( + searcherUserId: Option[UserId], + seedUserIds: Seq[UserId], + maxNumTweets: Int, + beforeTweetIdExclusive: Option[TweetId], + afterTweetIdExclusive: Option[TweetId], + filterOutRetweetsAndReplies: Boolean, + useTensorflowRanking: Boolean, + excludedTweetIds: Set[TweetId], + maxNumHitsPerShard: Int) + extends EarlybirdSearchQuery + + private def getThriftSearchQuery( + query: EarlybirdTensorflowBasedSearchQuery, + processingTimeout: Duration + ): ThriftSearchQuery = + ThriftSearchQuery( + serializedQuery = GetEarlybirdQuery( + query.beforeTweetIdExclusive, + query.afterTweetIdExclusive, + query.excludedTweetIds, + query.filterOutRetweetsAndReplies).map(_.serialize), + fromUserIDFilter64 = Some(query.seedUserIds), + numResults = query.maxNumTweets, + // Whether to collect conversation IDs. Remove it for now. + // collectConversationId = Gate.True(), // true for Home + rankingMode = ThriftSearchRankingMode.Relevance, + relevanceOptions = Some(getRelevanceOptions(query.useTensorflowRanking)), + collectorParams = Some( + CollectorParams( + // numResultsToReturn defines how many results each EB shard will return to search root + numResultsToReturn = 1000, + // terminationParams.maxHitsToProcess is used for early terminating per shard results fetching. + terminationParams = + GetCollectorTerminationParams(query.maxNumHitsPerShard, processingTimeout) + )), + facetFieldNames = Some(FacetsToFetch), + resultMetadataOptions = Some(MetadataOptions), + searcherId = query.searcherUserId, + searchStatusIds = None, + namedDisjunctionMap = GetNamedDisjunctions(query.excludedTweetIds) + ) + + // The specific values of recap relevance/reranking options correspond to + // experiment: enable_recap_reranking_2988,timeline_internal_disable_recap_filter + // bucket : enable_rerank,disable_filter + private def getRelevanceOptions(useTensorflowRanking: Boolean): ThriftSearchRelevanceOptions = { + ThriftSearchRelevanceOptions( + proximityScoring = true, + maxConsecutiveSameUser = Some(2), + rankingParams = + if (useTensorflowRanking) Some(getTensorflowBasedRankingParams) + else Some(getLinearRankingParams), + maxHitsToProcess = Some(500), + maxUserBlendCount = Some(3), + proximityPhraseWeight = 9.0, + returnAllResults = Some(true) + ) + } + + private def getTensorflowBasedRankingParams: ThriftRankingParams = { + getLinearRankingParams.copy( + `type` = Some(ThriftScoringFunctionType.TensorflowBased), + selectedTensorflowModel = Some("timelines_rectweet_replica"), + applyBoosts = false, + authorSpecificScoreAdjustments = None + ) + } + + private def getLinearRankingParams: ThriftRankingParams = { + ThriftRankingParams( + `type` = Some(ThriftScoringFunctionType.Linear), + minScore = -1.0e100, + retweetCountParams = Some(ThriftLinearFeatureRankingParams(weight = 20.0)), + replyCountParams = Some(ThriftLinearFeatureRankingParams(weight = 1.0)), + reputationParams = Some(ThriftLinearFeatureRankingParams(weight = 0.2)), + luceneScoreParams = Some(ThriftLinearFeatureRankingParams(weight = 2.0)), + textScoreParams = Some(ThriftLinearFeatureRankingParams(weight = 0.18)), + urlParams = Some(ThriftLinearFeatureRankingParams(weight = 2.0)), + isReplyParams = Some(ThriftLinearFeatureRankingParams(weight = 1.0)), + favCountParams = Some(ThriftLinearFeatureRankingParams(weight = 30.0)), + langEnglishUIBoost = 0.5, + langEnglishTweetBoost = 0.2, + langDefaultBoost = 0.02, + unknownLanguageBoost = 0.05, + offensiveBoost = 0.1, + inTrustedCircleBoost = 3.0, + multipleHashtagsOrTrendsBoost = 0.6, + inDirectFollowBoost = 4.0, + tweetHasTrendBoost = 1.1, + selfTweetBoost = 2.0, + tweetHasImageUrlBoost = 2.0, + tweetHasVideoUrlBoost = 2.0, + useUserLanguageInfo = true, + ageDecayParams = Some(ThriftAgeDecayRankingParams(slope = 0.005, base = 1.0)) + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/FilterUtil.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/FilterUtil.scala new file mode 100644 index 000000000..4cd94d2bb --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/FilterUtil.scala @@ -0,0 +1,42 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.util.Duration +import com.twitter.util.Time + +object FilterUtil { + + /** Returns a list of tweets that are generated less than `maxTweetAgeHours` hours ago */ + def tweetAgeFilter( + candidates: Seq[TweetWithScore], + maxTweetAgeHours: Duration + ): Seq[TweetWithScore] = { + // Tweet IDs are approximately chronological (see http://go/snowflake), + // so we are building the earliest tweet id once + // The per-candidate logic here then be candidate.tweetId > earliestPermittedTweetId, which is far cheaper. + // See @cyao's phab on CrMixer generic age filter for reference https://phabricator.twitter.biz/D903188 + val earliestTweetId = SnowflakeId.firstIdFor(Time.now - maxTweetAgeHours) + candidates.filter { candidate => candidate.tweetId >= earliestTweetId } + } + + /** Returns a list of tweet sources that are generated less than `maxTweetAgeHours` hours ago */ + def tweetSourceAgeFilter( + candidates: Seq[SourceInfo], + maxTweetSignalAgeHoursParam: Duration + ): Seq[SourceInfo] = { + // Tweet IDs are approximately chronological (see http://go/snowflake), + // so we are building the earliest tweet id once + // This filter applies to source signals. Some candidate source calls can be avoided if source signals + // can be filtered. + val earliestTweetId = SnowflakeId.firstIdFor(Time.now - maxTweetSignalAgeHoursParam) + candidates.filter { candidate => + candidate.internalId match { + case InternalId.TweetId(tweetId) => tweetId >= earliestTweetId + case _ => false + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/HnswANNSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/HnswANNSimilarityEngine.scala new file mode 100644 index 000000000..4a1422ce9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/HnswANNSimilarityEngine.scala @@ -0,0 +1,187 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.ann.common.thriftscala.Distance +import com.twitter.ann.common.thriftscala.NearestNeighborQuery +import com.twitter.ann.hnsw.HnswCommon +import com.twitter.ann.hnsw.HnswParams +import com.twitter.bijection.Injection +import com.twitter.cortex.ml.embeddings.common.TweetKind +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.MemCacheConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import com.twitter.ml.api.thriftscala.{Embedding => ThriftEmbedding} +import com.twitter.ml.featurestore.lib +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future + +case class HnswANNEngineQuery( + modelId: String, + sourceId: InternalId, + params: Params, +) { + val cacheKey: String = s"${modelId}_${sourceId.toString}" +} + +/** + * This Engine looks for tweets whose similarity is close to a Source Dense Embedding. + * Only support Long based embedding lookup. UserId or TweetId. + * + * It provides HNSW specific implementations + * + * @param memCacheConfigOpt If specified, it will wrap the underlying store with a MemCache layer + * You should only enable this for cacheable queries, e.x. TweetIds. + * consumer based UserIds are generally not possible to cache. + */ +class HnswANNSimilarityEngine( + embeddingStoreLookUpMap: Map[String, ReadableStore[InternalId, ThriftEmbedding]], + annServiceLookUpMap: Map[String, AnnQueryService.MethodPerEndpoint], + globalStats: StatsReceiver, + override val identifier: SimilarityEngineType, + engineConfig: SimilarityEngineConfig, + memCacheConfigOpt: Option[MemCacheConfig[HnswANNEngineQuery]] = None) + extends SimilarityEngine[HnswANNEngineQuery, TweetWithScore] { + + private val MaxNumResults: Int = 200 + private val ef: Int = 800 + private val TweetIdByteInjection: Injection[lib.TweetId, Array[Byte]] = TweetKind.byteInjection + + private val scopedStats = globalStats.scope("similarityEngine", identifier.toString) + + def getScopedStats: StatsReceiver = scopedStats + + private def fetchEmbedding( + query: HnswANNEngineQuery, + ): Future[Option[ThriftEmbedding]] = { + val embeddingStore = embeddingStoreLookUpMap.getOrElse( + query.modelId, + throw new IllegalArgumentException( + s"${this.getClass.getSimpleName} ${identifier.toString}: " + + s"ModelId ${query.modelId} does not exist for embeddingStore" + ) + ) + + embeddingStore.get(query.sourceId) + } + + private def fetchCandidates( + query: HnswANNEngineQuery, + embedding: ThriftEmbedding + ): Future[Seq[TweetWithScore]] = { + val annService = annServiceLookUpMap.getOrElse( + query.modelId, + throw new IllegalArgumentException( + s"${this.getClass.getSimpleName} ${identifier.toString}: " + + s"ModelId ${query.modelId} does not exist for annStore" + ) + ) + + val hnswParams = HnswCommon.RuntimeParamsInjection.apply(HnswParams(ef)) + + val annQuery = + NearestNeighborQuery(embedding, withDistance = true, hnswParams, MaxNumResults) + + annService + .query(annQuery) + .map( + _.nearestNeighbors + .map { nearestNeighbor => + val candidateId = TweetIdByteInjection + .invert(ArrayByteBufferCodec.decode(nearestNeighbor.id)) + .toOption + .map(_.tweetId) + (candidateId, nearestNeighbor.distance) + }.collect { + case (Some(candidateId), Some(distance)) => + TweetWithScore(candidateId, toScore(distance)) + }) + } + + // Convert Distance to a score such that higher scores mean more similar. + def toScore(distance: Distance): Double = { + distance match { + case Distance.EditDistance(editDistance) => + // (-Infinite, 0.0] + 0.0 - editDistance.distance + case Distance.L2Distance(l2Distance) => + // (-Infinite, 0.0] + 0.0 - l2Distance.distance + case Distance.CosineDistance(cosineDistance) => + // [0.0 - 1.0] + 1.0 - cosineDistance.distance + case Distance.InnerProductDistance(innerProductDistance) => + // (-Infinite, Infinite) + 1.0 - innerProductDistance.distance + case Distance.UnknownUnionField(_) => + throw new IllegalStateException( + s"${this.getClass.getSimpleName} does not recognize $distance.toString" + ) + } + } + + private[similarity_engine] def getEmbeddingAndCandidates( + query: HnswANNEngineQuery + ): Future[Option[Seq[TweetWithScore]]] = { + + val fetchEmbeddingStat = scopedStats.scope(query.modelId).scope("fetchEmbedding") + val fetchCandidatesStat = scopedStats.scope(query.modelId).scope("fetchCandidates") + + for { + embeddingOpt <- StatsUtil.trackOptionStats(fetchEmbeddingStat) { fetchEmbedding(query) } + candidates <- StatsUtil.trackItemsStats(fetchCandidatesStat) { + + embeddingOpt match { + case Some(embedding) => fetchCandidates(query, embedding) + case None => Future.Nil + } + } + } yield { + Some(candidates) + } + } + + // Add memcache wrapper, if specified + private val store = { + val uncachedStore = ReadableStore.fromFnFuture(getEmbeddingAndCandidates) + + memCacheConfigOpt match { + case Some(config) => + SimilarityEngine.addMemCache( + underlyingStore = uncachedStore, + memCacheConfig = config, + statsReceiver = scopedStats + ) + case _ => uncachedStore + } + } + + def toSimilarityEngineInfo( + query: HnswANNEngineQuery, + score: Double + ): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = this.identifier, + modelId = Some(query.modelId), + score = Some(score)) + } + + override def getCandidates( + engineQuery: HnswANNEngineQuery + ): Future[Option[Seq[TweetWithScore]]] = { + val versionedStats = globalStats.scope(engineQuery.modelId) + SimilarityEngine.getFromFn( + store.get, + engineQuery, + engineConfig, + engineQuery.params, + versionedStats + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/LookupSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/LookupSimilarityEngine.scala new file mode 100644 index 000000000..c4e469899 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/LookupSimilarityEngine.scala @@ -0,0 +1,78 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.MemCacheConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future + +case class LookupEngineQuery[Query]( + storeQuery: Query, // the actual Query type of the underlying store + lookupKey: String, + params: Params, +) + +/** + * This Engine provides a map interface for looking up different model implementations. + * It provides modelId level monitoring for free. + * + * Example use cases include OfflineSimClusters lookup + * + * + * @param versionedStoreMap A mapping from a modelId to a corresponding implementation + * @param memCacheConfigOpt If specified, it will wrap the underlying store with a MemCache layer + * You should only enable this for cacheable queries, e.x. TweetIds. + * consumer based UserIds are generally not possible to cache. + */ +class LookupSimilarityEngine[Query, Candidate <: Serializable]( + versionedStoreMap: Map[String, ReadableStore[Query, Seq[Candidate]]], // key = modelId + override val identifier: SimilarityEngineType, + globalStats: StatsReceiver, + engineConfig: SimilarityEngineConfig, + memCacheConfigOpt: Option[MemCacheConfig[Query]] = None) + extends SimilarityEngine[LookupEngineQuery[Query], Candidate] { + + private val scopedStats = globalStats.scope("similarityEngine", identifier.toString) + + private val underlyingLookupMap = { + memCacheConfigOpt match { + case Some(config) => + versionedStoreMap.map { + case (modelId, store) => + ( + modelId, + SimilarityEngine.addMemCache( + underlyingStore = store, + memCacheConfig = config, + keyPrefix = Some(modelId), + statsReceiver = scopedStats + ) + ) + } + case _ => versionedStoreMap + } + } + + override def getCandidates( + engineQuery: LookupEngineQuery[Query] + ): Future[Option[Seq[Candidate]]] = { + val versionedStore = + underlyingLookupMap + .getOrElse( + engineQuery.lookupKey, + throw new IllegalArgumentException( + s"${this.getClass.getSimpleName} ${identifier.toString}: ModelId ${engineQuery.lookupKey} does not exist" + ) + ) + + SimilarityEngine.getFromFn( + fn = versionedStore.get, + storeQuery = engineQuery.storeQuery, + engineConfig = engineConfig, + params = engineQuery.params, + scopedStats = scopedStats.scope(engineQuery.lookupKey) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ModelBasedANNStore.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ModelBasedANNStore.scala new file mode 100644 index 000000000..064bb8b1a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ModelBasedANNStore.scala @@ -0,0 +1,136 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.ann.common.thriftscala.AnnQueryService +import com.twitter.ann.common.thriftscala.Distance +import com.twitter.ann.common.thriftscala.NearestNeighborQuery +import com.twitter.ann.common.thriftscala.NearestNeighborResult +import com.twitter.ann.hnsw.HnswCommon +import com.twitter.ann.hnsw.HnswParams +import com.twitter.bijection.Injection +import com.twitter.conversions.DurationOps._ +import com.twitter.cortex.ml.embeddings.common.TweetKind +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.mediaservices.commons.codec.ArrayByteBufferCodec +import com.twitter.ml.api.thriftscala.{Embedding => ThriftEmbedding} +import com.twitter.ml.featurestore.lib +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Duration +import com.twitter.util.Future +import javax.inject.Singleton + +/** + * This store looks for tweets whose similarity is close to a Source Dense Embedding. + * Only support Long based embedding lookup. UserId or TweetId + */ +@Singleton +class ModelBasedANNStore( + embeddingStoreLookUpMap: Map[String, ReadableStore[InternalId, ThriftEmbedding]], + annServiceLookUpMap: Map[String, AnnQueryService.MethodPerEndpoint], + globalStats: StatsReceiver) + extends ReadableStore[ + ModelBasedANNStore.Query, + Seq[TweetWithScore] + ] { + + import ModelBasedANNStore._ + + private val stats = globalStats.scope(this.getClass.getSimpleName) + private val fetchEmbeddingStat = stats.scope("fetchEmbedding") + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + override def get(query: Query): Future[Option[Seq[TweetWithScore]]] = { + for { + maybeEmbedding <- StatsUtil.trackOptionStats(fetchEmbeddingStat.scope(query.modelId)) { + fetchEmbedding(query) + } + maybeCandidates <- StatsUtil.trackOptionStats(fetchCandidatesStat.scope(query.modelId)) { + maybeEmbedding match { + case Some(embedding) => + fetchCandidates(query, embedding) + case None => + Future.None + } + } + } yield { + maybeCandidates.map( + _.nearestNeighbors + .map { nearestNeighbor => + val candidateId = TweetIdByteInjection + .invert(ArrayByteBufferCodec.decode(nearestNeighbor.id)) + .toOption + .map(_.tweetId) + (candidateId, nearestNeighbor.distance) + }.collect { + case (Some(candidateId), Some(distance)) => + TweetWithScore(candidateId, toScore(distance)) + }) + } + } + + private def fetchEmbedding(query: Query): Future[Option[ThriftEmbedding]] = { + embeddingStoreLookUpMap.get(query.modelId) match { + case Some(embeddingStore) => + embeddingStore.get(query.sourceId) + case _ => + Future.None + } + } + + private def fetchCandidates( + query: Query, + embedding: ThriftEmbedding + ): Future[Option[NearestNeighborResult]] = { + val hnswParams = HnswCommon.RuntimeParamsInjection.apply(HnswParams(query.ef)) + + annServiceLookUpMap.get(query.modelId) match { + case Some(annService) => + val annQuery = + NearestNeighborQuery(embedding, withDistance = true, hnswParams, MaxNumResults) + annService.query(annQuery).map(v => Some(v)) + case _ => + Future.None + } + } +} + +object ModelBasedANNStore { + + val MaxNumResults: Int = 200 + val MaxTweetCandidateAge: Duration = 1.day + + val TweetIdByteInjection: Injection[lib.TweetId, Array[Byte]] = TweetKind.byteInjection + + // For more information about HNSW algorithm: https://docbird.twitter.biz/ann/hnsw.html + case class Query( + sourceId: InternalId, + modelId: String, + similarityEngineType: SimilarityEngineType, + ef: Int = 800) + + def toScore(distance: Distance): Double = { + distance match { + case Distance.L2Distance(l2Distance) => + // (-Infinite, 0.0] + 0.0 - l2Distance.distance + case Distance.CosineDistance(cosineDistance) => + // [0.0 - 1.0] + 1.0 - cosineDistance.distance + case Distance.InnerProductDistance(innerProductDistance) => + // (-Infinite, Infinite) + 1.0 - innerProductDistance.distance + case _ => + 0.0 + } + } + def toSimilarityEngineInfo(query: Query, score: Double): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = query.similarityEngineType, + modelId = Some(query.modelId), + score = Some(score)) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUnifiedSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUnifiedSimilarityEngine.scala new file mode 100644 index 000000000..f782ae037 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUnifiedSimilarityEngine.scala @@ -0,0 +1,641 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.ProducerBasedCandidateGenerationParams +import com.twitter.cr_mixer.param.UnifiedSETweetCombinationMethod +import com.twitter.cr_mixer.param.RelatedTweetProducerBasedParams +import com.twitter.cr_mixer.param.SimClustersANNParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.cr_mixer.util.InterleaveUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.ModelVersions +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Duration +import com.twitter.util.Future +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.mutable.ArrayBuffer + +/** + * This store looks for similar tweets from UserTweetGraph for a Source ProducerId + * For a query producerId,User Tweet Graph (UTG), + * lets us find out which tweets the query producer's followers co-engaged + */ +@Singleton +case class ProducerBasedUnifiedSimilarityEngine( + @Named(ModuleNames.ProducerBasedUserTweetGraphSimilarityEngine) + producerBasedUserTweetGraphSimilarityEngine: StandardSimilarityEngine[ + ProducerBasedUserTweetGraphSimilarityEngine.Query, + TweetWithScore + ], + simClustersANNSimilarityEngine: StandardSimilarityEngine[ + SimClustersANNSimilarityEngine.Query, + TweetWithScore + ], + statsReceiver: StatsReceiver) + extends ReadableStore[ProducerBasedUnifiedSimilarityEngine.Query, Seq[ + TweetWithCandidateGenerationInfo + ]] { + + import ProducerBasedUnifiedSimilarityEngine._ + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + override def get( + query: Query + ): Future[Option[Seq[TweetWithCandidateGenerationInfo]]] = { + query.sourceInfo.internalId match { + case _: InternalId.UserId => + StatsUtil.trackOptionItemsStats(fetchCandidatesStat) { + val sannCandidatesFut = if (query.enableSimClustersANN) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANNQuery) + } else Future.None + + val sann1CandidatesFut = + if (query.enableSimClustersANN1) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN1Query) + } else Future.None + + val sann2CandidatesFut = + if (query.enableSimClustersANN2) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN2Query) + } else Future.None + + val sann3CandidatesFut = + if (query.enableSimClustersANN3) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN3Query) + } else Future.None + + val sann4CandidatesFut = + if (query.enableSimClustersANN4) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN4Query) + } else Future.None + + val sann5CandidatesFut = + if (query.enableSimClustersANN5) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN5Query) + } else Future.None + + val experimentalSANNCandidatesFut = + if (query.enableExperimentalSimClustersANN) { + simClustersANNSimilarityEngine.getCandidates(query.experimentalSimClustersANNQuery) + } else Future.None + + val utgCandidatesFut = if (query.enableUtg) { + producerBasedUserTweetGraphSimilarityEngine.getCandidates(query.utgQuery) + } else Future.None + + Future + .join( + sannCandidatesFut, + sann1CandidatesFut, + sann2CandidatesFut, + sann3CandidatesFut, + sann4CandidatesFut, + sann5CandidatesFut, + experimentalSANNCandidatesFut, + utgCandidatesFut + ).map { + case ( + simClustersAnnCandidates, + simClustersAnn1Candidates, + simClustersAnn2Candidates, + simClustersAnn3Candidates, + simClustersAnn4Candidates, + simClustersAnn5Candidates, + experimentalSANNCandidates, + userTweetGraphCandidates) => + val filteredSANNTweets = simClustersCandidateMinScoreFilter( + simClustersAnnCandidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANNQuery.storeQuery.simClustersANNConfigId) + + val filteredExperimentalSANNTweets = simClustersCandidateMinScoreFilter( + experimentalSANNCandidates.toSeq.flatten, + query.simClustersMinScore, + query.experimentalSimClustersANNQuery.storeQuery.simClustersANNConfigId) + + val filteredSANN1Tweets = simClustersCandidateMinScoreFilter( + simClustersAnn1Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN1Query.storeQuery.simClustersANNConfigId) + + val filteredSANN2Tweets = simClustersCandidateMinScoreFilter( + simClustersAnn2Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN2Query.storeQuery.simClustersANNConfigId) + + val filteredSANN3Tweets = simClustersCandidateMinScoreFilter( + simClustersAnn3Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN3Query.storeQuery.simClustersANNConfigId) + + val filteredSANN4Tweets = simClustersCandidateMinScoreFilter( + simClustersAnn4Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN4Query.storeQuery.simClustersANNConfigId) + + val filteredSANN5Tweets = simClustersCandidateMinScoreFilter( + simClustersAnn5Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN5Query.storeQuery.simClustersANNConfigId) + + val filteredUTGTweets = + userTweetGraphFilter(userTweetGraphCandidates.toSeq.flatten) + + val sannTweetsWithCGInfo = filteredSANNTweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANNQuery, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val sann1TweetsWithCGInfo = filteredSANN1Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN1Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val sann2TweetsWithCGInfo = filteredSANN2Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN2Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val sann3TweetsWithCGInfo = filteredSANN3Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN3Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val sann4TweetsWithCGInfo = filteredSANN4Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN4Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val sann5TweetsWithCGInfo = filteredSANN5Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN5Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val experimentalSANNTweetsWithCGInfo = filteredExperimentalSANNTweets.map { + tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo( + query.experimentalSimClustersANNQuery, + tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val utgTweetsWithCGInfo = filteredUTGTweets.map { tweetWithScore => + val similarityEngineInfo = + ProducerBasedUserTweetGraphSimilarityEngine + .toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val candidateSourcesToBeInterleaved = + ArrayBuffer[Seq[TweetWithCandidateGenerationInfo]]( + sannTweetsWithCGInfo, + sann1TweetsWithCGInfo, + sann2TweetsWithCGInfo, + sann3TweetsWithCGInfo, + sann4TweetsWithCGInfo, + sann5TweetsWithCGInfo, + experimentalSANNTweetsWithCGInfo, + ) + + if (query.utgCombinationMethod == UnifiedSETweetCombinationMethod.Interleave) { + candidateSourcesToBeInterleaved += utgTweetsWithCGInfo + } + + val interleavedCandidates = + InterleaveUtil.interleave(candidateSourcesToBeInterleaved) + + val candidateSourcesToBeOrdered = + ArrayBuffer[Seq[TweetWithCandidateGenerationInfo]](interleavedCandidates) + + if (query.utgCombinationMethod == UnifiedSETweetCombinationMethod.Frontload) + candidateSourcesToBeOrdered.prepend(utgTweetsWithCGInfo) + + val candidatesFromGivenOrderCombination = + SimilaritySourceOrderingUtil.keepGivenOrder(candidateSourcesToBeOrdered) + + val unifiedCandidatesWithUnifiedCGInfo = candidatesFromGivenOrderCombination.map { + candidate => + /*** + * when a candidate was made by interleave/keepGivenOrder, + * then we apply getProducerBasedUnifiedCGInfo() to override with the unified CGInfo + * + * in contributingSE list for interleave. We only have the chosen SE available. + * This is hard to add for interleave, and we plan to add it later after abstraction improvement. + */ + TweetWithCandidateGenerationInfo( + tweetId = candidate.tweetId, + candidateGenerationInfo = getProducerBasedUnifiedCGInfo( + candidate.candidateGenerationInfo.sourceInfoOpt, + candidate.getSimilarityScore, + candidate.candidateGenerationInfo.contributingSimilarityEngines + ) // getSimilarityScore comes from either unifiedScore or single score + ) + } + stats.stat("unified_candidate_size").add(unifiedCandidatesWithUnifiedCGInfo.size) + val truncatedCandidates = + unifiedCandidatesWithUnifiedCGInfo.take(query.maxCandidateNumPerSourceKey) + stats.stat("truncatedCandidates_size").add(truncatedCandidates.size) + + Some(truncatedCandidates) + + } + } + + case _ => + stats.counter("sourceId_is_not_userId_cnt").incr() + Future.None + } + } + + private def simClustersCandidateMinScoreFilter( + simClustersAnnCandidates: Seq[TweetWithScore], + simClustersMinScore: Double, + simClustersANNConfigId: String + ): Seq[TweetWithScore] = { + val filteredCandidates = simClustersAnnCandidates + .filter { candidate => + candidate.score > simClustersMinScore + } + + stats.stat(simClustersANNConfigId, "simClustersAnnCandidates_size").add(filteredCandidates.size) + stats.counter(simClustersANNConfigId, "simClustersAnnRequests").incr() + if (filteredCandidates.isEmpty) + stats.counter(simClustersANNConfigId, "emptyFilteredSimClustersAnnCandidates").incr() + + filteredCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + } + + /** A no-op filter as UTG filter already happened at UTG service side */ + private def userTweetGraphFilter( + userTweetGraphCandidates: Seq[TweetWithScore] + ): Seq[TweetWithScore] = { + val filteredCandidates = userTweetGraphCandidates + + stats.stat("userTweetGraphCandidates_size").add(userTweetGraphCandidates.size) + if (filteredCandidates.isEmpty) stats.counter("emptyFilteredUserTweetGraphCandidates").incr() + + filteredCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + } + +} +object ProducerBasedUnifiedSimilarityEngine { + + /*** + * Every candidate will have the CG Info with ProducerBasedUnifiedSimilarityEngine + * as they are generated by a composite of Similarity Engines. + * Additionally, we store the contributing SEs (eg., SANN, UTG). + */ + private def getProducerBasedUnifiedCGInfo( + sourceInfoOpt: Option[SourceInfo], + unifiedScore: Double, + contributingSimilarityEngines: Seq[SimilarityEngineInfo] + ): CandidateGenerationInfo = { + CandidateGenerationInfo( + sourceInfoOpt, + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.ProducerBasedUnifiedSimilarityEngine, + modelId = None, // We do not assign modelId for a unified similarity engine + score = Some(unifiedScore) + ), + contributingSimilarityEngines + ) + } + + case class Query( + sourceInfo: SourceInfo, + maxCandidateNumPerSourceKey: Int, + maxTweetAgeHours: Duration, + // SimClusters + enableSimClustersANN: Boolean, + simClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableExperimentalSimClustersANN: Boolean, + experimentalSimClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN1: Boolean, + simClustersANN1Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN2: Boolean, + simClustersANN2Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN4: Boolean, + simClustersANN4Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN3: Boolean, + simClustersANN3Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN5: Boolean, + simClustersANN5Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + simClustersMinScore: Double, + // UTG + enableUtg: Boolean, + utgCombinationMethod: UnifiedSETweetCombinationMethod.Value, + utgQuery: EngineQuery[ProducerBasedUserTweetGraphSimilarityEngine.Query]) + + def fromParams( + sourceInfo: SourceInfo, + params: configapi.Params, + ): EngineQuery[Query] = { + val maxCandidateNumPerSourceKey = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + val maxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam) + // SimClusters + val enableSimClustersANN = params( + ProducerBasedCandidateGenerationParams.EnableSimClustersANNParam) + val simClustersModelVersion = + ModelVersions.Enum.enumToSimClustersModelVersionMap(params(GlobalParams.ModelVersionParam)) + val simClustersANNConfigId = params(SimClustersANNParams.SimClustersANNConfigId) + // SimClusters - Experimental SANN Similarity Engine + val enableExperimentalSimClustersANN = params( + ProducerBasedCandidateGenerationParams.EnableExperimentalSimClustersANNParam) + val experimentalSimClustersANNConfigId = params( + SimClustersANNParams.ExperimentalSimClustersANNConfigId) + // SimClusters - SANN cluster 1 Similarity Engine + val enableSimClustersANN1 = params( + ProducerBasedCandidateGenerationParams.EnableSimClustersANN1Param) + val simClustersANN1ConfigId = params(SimClustersANNParams.SimClustersANN1ConfigId) + // SimClusters - SANN cluster 2 Similarity Engine + val enableSimClustersANN2 = params( + ProducerBasedCandidateGenerationParams.EnableSimClustersANN2Param) + val simClustersANN2ConfigId = params(SimClustersANNParams.SimClustersANN2ConfigId) + // SimClusters - SANN cluster 3 Similarity Engine + val enableSimClustersANN3 = params( + ProducerBasedCandidateGenerationParams.EnableSimClustersANN3Param) + val simClustersANN3ConfigId = params(SimClustersANNParams.SimClustersANN3ConfigId) + // SimClusters - SANN cluster 5 Similarity Engine + val enableSimClustersANN5 = params( + ProducerBasedCandidateGenerationParams.EnableSimClustersANN5Param) + val simClustersANN5ConfigId = params(SimClustersANNParams.SimClustersANN5ConfigId) + val enableSimClustersANN4 = params( + ProducerBasedCandidateGenerationParams.EnableSimClustersANN4Param) + val simClustersANN4ConfigId = params(SimClustersANNParams.SimClustersANN4ConfigId) + + val simClustersMinScore = params( + ProducerBasedCandidateGenerationParams.SimClustersMinScoreParam) + + // SimClusters ANN Query + val simClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANNConfigId, + params + ) + val experimentalSimClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + experimentalSimClustersANNConfigId, + params + ) + val simClustersANN1Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN1ConfigId, + params + ) + val simClustersANN2Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN2ConfigId, + params + ) + val simClustersANN3Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN3ConfigId, + params + ) + val simClustersANN5Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN5ConfigId, + params + ) + val simClustersANN4Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN4ConfigId, + params + ) + // UTG + val enableUtg = params(ProducerBasedCandidateGenerationParams.EnableUTGParam) + val utgCombinationMethod = params( + ProducerBasedCandidateGenerationParams.UtgCombinationMethodParam) + + EngineQuery( + Query( + sourceInfo = sourceInfo, + maxCandidateNumPerSourceKey = maxCandidateNumPerSourceKey, + maxTweetAgeHours = maxTweetAgeHours, + enableSimClustersANN = enableSimClustersANN, + simClustersANNQuery = simClustersANNQuery, + enableExperimentalSimClustersANN = enableExperimentalSimClustersANN, + experimentalSimClustersANNQuery = experimentalSimClustersANNQuery, + enableSimClustersANN1 = enableSimClustersANN1, + simClustersANN1Query = simClustersANN1Query, + enableSimClustersANN2 = enableSimClustersANN2, + simClustersANN2Query = simClustersANN2Query, + enableSimClustersANN3 = enableSimClustersANN3, + simClustersANN3Query = simClustersANN3Query, + enableSimClustersANN5 = enableSimClustersANN5, + simClustersANN5Query = simClustersANN5Query, + enableSimClustersANN4 = enableSimClustersANN4, + simClustersANN4Query = simClustersANN4Query, + simClustersMinScore = simClustersMinScore, + enableUtg = enableUtg, + utgCombinationMethod = utgCombinationMethod, + utgQuery = ProducerBasedUserTweetGraphSimilarityEngine + .fromParams(sourceInfo.internalId, params) + ), + params + ) + } + + def fromParamsForRelatedTweet( + internalId: InternalId, + params: configapi.Params + ): EngineQuery[Query] = { + val maxCandidateNumPerSourceKey = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + val maxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam) + // SimClusters + val enableSimClustersANN = params(RelatedTweetProducerBasedParams.EnableSimClustersANNParam) + val simClustersModelVersion = + ModelVersions.Enum.enumToSimClustersModelVersionMap(params(GlobalParams.ModelVersionParam)) + val simClustersANNConfigId = params(SimClustersANNParams.SimClustersANNConfigId) + val simClustersMinScore = + params(RelatedTweetProducerBasedParams.SimClustersMinScoreParam) + // SimClusters - Experimental SANN Similarity Engine + val enableExperimentalSimClustersANN = params( + RelatedTweetProducerBasedParams.EnableExperimentalSimClustersANNParam) + val experimentalSimClustersANNConfigId = params( + SimClustersANNParams.ExperimentalSimClustersANNConfigId) + // SimClusters - SANN cluster 1 Similarity Engine + val enableSimClustersANN1 = params(RelatedTweetProducerBasedParams.EnableSimClustersANN1Param) + val simClustersANN1ConfigId = params(SimClustersANNParams.SimClustersANN1ConfigId) + // SimClusters - SANN cluster 2 Similarity Engine + val enableSimClustersANN2 = params(RelatedTweetProducerBasedParams.EnableSimClustersANN2Param) + val simClustersANN2ConfigId = params(SimClustersANNParams.SimClustersANN2ConfigId) + // SimClusters - SANN cluster 3 Similarity Engine + val enableSimClustersANN3 = params(RelatedTweetProducerBasedParams.EnableSimClustersANN3Param) + val simClustersANN3ConfigId = params(SimClustersANNParams.SimClustersANN3ConfigId) + // SimClusters - SANN cluster 5 Similarity Engine + val enableSimClustersANN5 = params(RelatedTweetProducerBasedParams.EnableSimClustersANN5Param) + val simClustersANN5ConfigId = params(SimClustersANNParams.SimClustersANN5ConfigId) + + val enableSimClustersANN4 = params(RelatedTweetProducerBasedParams.EnableSimClustersANN4Param) + val simClustersANN4ConfigId = params(SimClustersANNParams.SimClustersANN4ConfigId) + // Build SANN Query + val simClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANNConfigId, + params + ) + val experimentalSimClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + experimentalSimClustersANNConfigId, + params + ) + val simClustersANN1Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN1ConfigId, + params + ) + val simClustersANN2Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN2ConfigId, + params + ) + val simClustersANN3Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN3ConfigId, + params + ) + val simClustersANN5Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN5ConfigId, + params + ) + val simClustersANN4Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.FavBasedProducer, + simClustersModelVersion, + simClustersANN4ConfigId, + params + ) + // UTG + val enableUtg = params(RelatedTweetProducerBasedParams.EnableUTGParam) + val utgCombinationMethod = params( + ProducerBasedCandidateGenerationParams.UtgCombinationMethodParam) + + // SourceType.RequestUserId is a placeholder. + val sourceInfo = SourceInfo(SourceType.RequestUserId, internalId, None) + + EngineQuery( + Query( + sourceInfo = sourceInfo, + maxCandidateNumPerSourceKey = maxCandidateNumPerSourceKey, + maxTweetAgeHours = maxTweetAgeHours, + enableSimClustersANN = enableSimClustersANN, + simClustersANNQuery = simClustersANNQuery, + enableExperimentalSimClustersANN = enableExperimentalSimClustersANN, + experimentalSimClustersANNQuery = experimentalSimClustersANNQuery, + enableSimClustersANN1 = enableSimClustersANN1, + simClustersANN1Query = simClustersANN1Query, + enableSimClustersANN2 = enableSimClustersANN2, + simClustersANN2Query = simClustersANN2Query, + enableSimClustersANN3 = enableSimClustersANN3, + simClustersANN3Query = simClustersANN3Query, + enableSimClustersANN5 = enableSimClustersANN5, + simClustersANN5Query = simClustersANN5Query, + enableSimClustersANN4 = enableSimClustersANN4, + simClustersANN4Query = simClustersANN4Query, + simClustersMinScore = simClustersMinScore, + enableUtg = enableUtg, + utgQuery = ProducerBasedUserTweetGraphSimilarityEngine.fromParams(internalId, params), + utgCombinationMethod = utgCombinationMethod + ), + params + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUserAdGraphSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUserAdGraphSimilarityEngine.scala new file mode 100644 index 000000000..c9ebc91e7 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUserAdGraphSimilarityEngine.scala @@ -0,0 +1,96 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.ProducerBasedUserAdGraphParams +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.recos.user_ad_graph.thriftscala.ProducerBasedRelatedAdRequest +import com.twitter.recos.user_ad_graph.thriftscala.UserAdGraph +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Singleton +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.timelines.configapi + +/** + * This store looks for similar tweets from UserAdGraph for a Source ProducerId + * For a query producerId,User Tweet Graph (UAG), + * lets us find out which ad tweets the query producer's followers co-engaged + */ +@Singleton +case class ProducerBasedUserAdGraphSimilarityEngine( + userAdGraphService: UserAdGraph.MethodPerEndpoint, + statsReceiver: StatsReceiver) + extends ReadableStore[ProducerBasedUserAdGraphSimilarityEngine.Query, Seq[ + TweetWithScore + ]] { + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + override def get( + query: ProducerBasedUserAdGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + query.sourceId match { + case InternalId.UserId(producerId) => + StatsUtil.trackOptionItemsStats(fetchCandidatesStat) { + val relatedAdRequest = + ProducerBasedRelatedAdRequest( + producerId, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + minScore = Some(query.minScore), + maxNumFollowers = Some(query.maxNumFollowers), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours), + ) + + userAdGraphService.producerBasedRelatedAds(relatedAdRequest).map { relatedAdResponse => + val candidates = + relatedAdResponse.adTweets.map(tweet => TweetWithScore(tweet.adTweetId, tweet.score)) + Some(candidates) + } + } + case _ => + Future.value(None) + } + } +} + +object ProducerBasedUserAdGraphSimilarityEngine { + + def toSimilarityEngineInfo(score: Double): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.ProducerBasedUserAdGraph, + modelId = None, + score = Some(score)) + } + + case class Query( + sourceId: InternalId, + maxResults: Int, + minCooccurrence: Int, // require at least {minCooccurrence} lhs user engaged with returned tweet + minScore: Double, + maxNumFollowers: Int, // max number of lhs users + maxTweetAgeInHours: Int) + + def fromParams( + sourceId: InternalId, + params: configapi.Params, + ): EngineQuery[Query] = { + EngineQuery( + Query( + sourceId = sourceId, + maxResults = params(GlobalParams.MaxCandidateNumPerSourceKeyParam), + minCooccurrence = params(ProducerBasedUserAdGraphParams.MinCoOccurrenceParam), + maxNumFollowers = params(ProducerBasedUserAdGraphParams.MaxNumFollowersParam), + maxTweetAgeInHours = params(GlobalParams.MaxTweetAgeHoursParam).inHours, + minScore = params(ProducerBasedUserAdGraphParams.MinScoreParam) + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUserTweetGraphSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUserTweetGraphSimilarityEngine.scala new file mode 100644 index 000000000..6e7ca95bd --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/ProducerBasedUserTweetGraphSimilarityEngine.scala @@ -0,0 +1,96 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.ProducerBasedUserTweetGraphParams +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.recos.user_tweet_graph.thriftscala.ProducerBasedRelatedTweetRequest +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Singleton +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.timelines.configapi +import com.twitter.recos.user_tweet_graph.thriftscala.UserTweetGraph + +/** + * This store looks for similar tweets from UserTweetGraph for a Source ProducerId + * For a query producerId,User Tweet Graph (UTG), + * lets us find out which tweets the query producer's followers co-engaged + */ +@Singleton +case class ProducerBasedUserTweetGraphSimilarityEngine( + userTweetGraphService: UserTweetGraph.MethodPerEndpoint, + statsReceiver: StatsReceiver) + extends ReadableStore[ProducerBasedUserTweetGraphSimilarityEngine.Query, Seq[ + TweetWithScore + ]] { + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + override def get( + query: ProducerBasedUserTweetGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + query.sourceId match { + case InternalId.UserId(producerId) => + StatsUtil.trackOptionItemsStats(fetchCandidatesStat) { + val relatedTweetRequest = + ProducerBasedRelatedTweetRequest( + producerId, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + minScore = Some(query.minScore), + maxNumFollowers = Some(query.maxNumFollowers), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours), + ) + + userTweetGraphService.producerBasedRelatedTweets(relatedTweetRequest).map { + relatedTweetResponse => + val candidates = + relatedTweetResponse.tweets.map(tweet => TweetWithScore(tweet.tweetId, tweet.score)) + Some(candidates) + } + } + case _ => + Future.value(None) + } + } +} + +object ProducerBasedUserTweetGraphSimilarityEngine { + + def toSimilarityEngineInfo(score: Double): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.ProducerBasedUserTweetGraph, + modelId = None, + score = Some(score)) + } + + case class Query( + sourceId: InternalId, + maxResults: Int, + minCooccurrence: Int, // require at least {minCooccurrence} lhs user engaged with returned tweet + minScore: Double, + maxNumFollowers: Int, // max number of lhs users + maxTweetAgeInHours: Int) + + def fromParams( + sourceId: InternalId, + params: configapi.Params, + ): EngineQuery[Query] = { + EngineQuery( + Query( + sourceId = sourceId, + maxResults = params(GlobalParams.MaxCandidateNumPerSourceKeyParam), + minCooccurrence = params(ProducerBasedUserTweetGraphParams.MinCoOccurrenceParam), + maxNumFollowers = params(ProducerBasedUserTweetGraphParams.MaxNumFollowersParam), + maxTweetAgeInHours = params(GlobalParams.MaxTweetAgeHoursParam).inHours, + minScore = params(ProducerBasedUserTweetGraphParams.MinScoreParam) + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimClustersANNSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimClustersANNSimilarityEngine.scala new file mode 100644 index 000000000..228627c87 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimClustersANNSimilarityEngine.scala @@ -0,0 +1,113 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.config.SimClustersANNConfig +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.simclusters_v2.thriftscala.ModelVersion +import com.twitter.simclusters_v2.thriftscala.SimClustersEmbeddingId +import com.twitter.simclustersann.thriftscala.SimClustersANNService +import com.twitter.simclustersann.thriftscala.{Query => SimClustersANNQuery} +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Singleton +import com.twitter.cr_mixer.exception.InvalidSANNConfigException +import com.twitter.relevance_platform.simclustersann.multicluster.ServiceNameMapper + +@Singleton +case class SimClustersANNSimilarityEngine( + simClustersANNServiceNameToClientMapper: Map[String, SimClustersANNService.MethodPerEndpoint], + statsReceiver: StatsReceiver) + extends ReadableStore[ + SimClustersANNSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + private val name: String = this.getClass.getSimpleName + private val stats = statsReceiver.scope(name) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + private def getSimClustersANNService( + query: SimClustersANNQuery + ): Option[SimClustersANNService.MethodPerEndpoint] = { + ServiceNameMapper + .getServiceName( + query.sourceEmbeddingId.modelVersion, + query.config.candidateEmbeddingType).flatMap(serviceName => + simClustersANNServiceNameToClientMapper.get(serviceName)) + } + + override def get( + query: SimClustersANNSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + StatsUtil.trackOptionItemsStats(fetchCandidatesStat) { + + getSimClustersANNService(query.simClustersANNQuery) match { + case Some(simClustersANNService) => + simClustersANNService.getTweetCandidates(query.simClustersANNQuery).map { + simClustersANNTweetCandidates => + val tweetWithScores = simClustersANNTweetCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + Some(tweetWithScores) + } + case None => + throw InvalidSANNConfigException( + "No SANN Cluster configured to serve this query, check CandidateEmbeddingType and ModelVersion") + } + } + } +} + +object SimClustersANNSimilarityEngine { + case class Query( + simClustersANNQuery: SimClustersANNQuery, + simClustersANNConfigId: String) + + def toSimilarityEngineInfo( + query: EngineQuery[Query], + score: Double + ): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.SimClustersANN, + modelId = Some( + s"SimClustersANN_${query.storeQuery.simClustersANNQuery.sourceEmbeddingId.embeddingType.toString}_" + + s"${query.storeQuery.simClustersANNQuery.sourceEmbeddingId.modelVersion.toString}_" + + s"${query.storeQuery.simClustersANNConfigId}"), + score = Some(score) + ) + } + + def fromParams( + internalId: InternalId, + embeddingType: EmbeddingType, + modelVersion: ModelVersion, + simClustersANNConfigId: String, + params: configapi.Params, + ): EngineQuery[Query] = { + + // SimClusters EmbeddingId and ANNConfig + val simClustersEmbeddingId = + SimClustersEmbeddingId(embeddingType, modelVersion, internalId) + val simClustersANNConfig = + SimClustersANNConfig + .getConfig(embeddingType.toString, modelVersion.toString, simClustersANNConfigId) + + EngineQuery( + Query( + SimClustersANNQuery( + sourceEmbeddingId = simClustersEmbeddingId, + config = simClustersANNConfig.toSANNConfigThrift + ), + simClustersANNConfigId + ), + params + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimilarityEngine.scala new file mode 100644 index 000000000..6bc332f75 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimilarityEngine.scala @@ -0,0 +1,169 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.GlobalRequestTimeoutException +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.memcached.Client +import com.twitter.finagle.mux.ServerApplicationError +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.hashing.KeyHasher +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.relevance_platform.common.injection.LZ4Injection +import com.twitter.relevance_platform.common.injection.SeqObjectInjection +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Params +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.TimeoutException +import com.twitter.util.logging.Logging +import org.apache.thrift.TApplicationException + +/** + * A SimilarityEngine is a wrapper which, given a [[Query]], returns a list of [[Candidate]] + * The main purposes of a SimilarityEngine is to provide a consistent interface for candidate + * generation logic, and provides default functions, including: + * - Identification + * - Observability + * - Timeout settings + * - Exception Handling + * - Gating by Deciders & FeatureSwitch settings + * - (coming soon): Dark traffic + * + * Note: + * A SimilarityEngine by itself is NOT meant to be cacheable. + * Caching should be implemented in the underlying ReadableStore that provides the [[Candidate]]s + * + * Please keep extension of this class local this directory only + * + */ +trait SimilarityEngine[Query, Candidate] { + + /** + * Uniquely identifies a similarity engine. + * Avoid using the same engine type for more than one engine, it will cause stats to double count + */ + private[similarity_engine] def identifier: SimilarityEngineType + + def getCandidates(query: Query): Future[Option[Seq[Candidate]]] + +} + +object SimilarityEngine extends Logging { + case class SimilarityEngineConfig( + timeout: Duration, + gatingConfig: GatingConfig) + + /** + * Controls for whether or not this Engine is enabled. + * In our previous design, we were expecting a Sim Engine will only take one set of Params, + * and that’s why we decided to have GatingConfig and the EnableFeatureSwitch in the trait. + * However, we now have two candidate generation pipelines: Tweet Rec, Related Tweets + * and they are now having their own set of Params, but EnableFeatureSwitch can only put in 1 fixed value. + * We need some further refactor work to make it more flexible. + * + * @param deciderConfig Gate the Engine by a decider. If specified, + * @param enableFeatureSwitch. DO NOT USE IT FOR NOW. It needs some refactorting. Please set it to None (SD-20268) + */ + case class GatingConfig( + deciderConfig: Option[DeciderConfig], + enableFeatureSwitch: Option[ + FSParam[Boolean] + ]) // Do NOT use the enableFeatureSwitch. It needs some refactoring. + + case class DeciderConfig( + decider: CrMixerDecider, + deciderString: String) + + case class MemCacheConfig[K]( + cacheClient: Client, + ttl: Duration, + asyncUpdate: Boolean = false, + keyToString: K => String) + + private[similarity_engine] def isEnabled( + params: Params, + gatingConfig: GatingConfig + ): Boolean = { + val enabledByDecider = + gatingConfig.deciderConfig.forall { config => + config.decider.isAvailable(config.deciderString) + } + + val enabledByFS = gatingConfig.enableFeatureSwitch.forall(params.apply) + + enabledByDecider && enabledByFS + } + + // Default key hasher for memcache keys + val keyHasher: KeyHasher = KeyHasher.FNV1A_64 + + /** + * Add a MemCache wrapper to a ReadableStore with a preset key and value injection functions + * Note: The [[Query]] object needs to be cacheable, + * i.e. it cannot be a runtime objects or complex objects, for example, configapi.Params + * + * @param underlyingStore un-cached store implementation + * @param keyPrefix a prefix differentiates 2 stores if they share the same key space. + * e.x. 2 implementations of ReadableStore[UserId, Seq[Candidiate] ] + * can use prefix "store_v1", "store_v2" + * @return A ReadableStore with a MemCache wrapper + */ + private[similarity_engine] def addMemCache[Query, Candidate <: Serializable]( + underlyingStore: ReadableStore[Query, Seq[Candidate]], + memCacheConfig: MemCacheConfig[Query], + keyPrefix: Option[String] = None, + statsReceiver: StatsReceiver + ): ReadableStore[Query, Seq[Candidate]] = { + val prefix = keyPrefix.getOrElse("") + + ObservedMemcachedReadableStore.fromCacheClient[Query, Seq[Candidate]]( + backingStore = underlyingStore, + cacheClient = memCacheConfig.cacheClient, + ttl = memCacheConfig.ttl, + asyncUpdate = memCacheConfig.asyncUpdate, + )( + valueInjection = LZ4Injection.compose(SeqObjectInjection[Candidate]()), + keyToString = { k: Query => s"CRMixer:$prefix${memCacheConfig.keyToString(k)}" }, + statsReceiver = statsReceiver + ) + } + + private val timer = com.twitter.finagle.util.DefaultTimer + + /** + * Applies runtime configs, like stats, timeouts, exception handling, onto fn + */ + private[similarity_engine] def getFromFn[Query, Candidate]( + fn: Query => Future[Option[Seq[Candidate]]], + storeQuery: Query, + engineConfig: SimilarityEngineConfig, + params: Params, + scopedStats: StatsReceiver + ): Future[Option[Seq[Candidate]]] = { + if (isEnabled(params, engineConfig.gatingConfig)) { + scopedStats.counter("gate_enabled").incr() + + StatsUtil + .trackOptionItemsStats(scopedStats) { + fn.apply(storeQuery).raiseWithin(engineConfig.timeout)(timer) + } + .rescue { + case _: TimeoutException | _: GlobalRequestTimeoutException | _: TApplicationException | + _: ClientDiscardedRequestException | + _: ServerApplicationError // TApplicationException inside + => + debug("Failed to fetch. request aborted or timed out") + Future.None + case e => + error("Failed to fetch. request aborted or timed out", e) + Future.None + } + } else { + scopedStats.counter("gate_disabled").incr() + Future.None + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimilaritySourceOrderingUtil.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimilaritySourceOrderingUtil.scala new file mode 100644 index 000000000..b3da2b631 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SimilaritySourceOrderingUtil.scala @@ -0,0 +1,32 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.simclusters_v2.common.TweetId +import scala.collection.mutable +import scala.collection.mutable.ArrayBuffer + +object SimilaritySourceOrderingUtil { + /** + * This function flatten and dedup input candidates according to the order in the input Seq + * [[candidate10, candidate11], [candidate20, candidate21]] => [candidate10, candidate11, candidate20, candidate21] + */ + def keepGivenOrder( + candidates: Seq[Seq[TweetWithCandidateGenerationInfo]], + ): Seq[TweetWithCandidateGenerationInfo] = { + + val seen = mutable.Set[TweetId]() + val combinedCandidates = candidates.flatten + val result = ArrayBuffer[TweetWithCandidateGenerationInfo]() + + combinedCandidates.foreach { candidate => + val candidateTweetId = candidate.tweetId + val seenCandidate = seen.contains(candidateTweetId) // de-dup + if (!seenCandidate) { + result += candidate + seen.add(candidate.tweetId) + } + } + //convert result to immutable seq + result.toList + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SkitHighPrecisionTopicTweetSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SkitHighPrecisionTopicTweetSimilarityEngine.scala new file mode 100644 index 000000000..37701e79e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SkitHighPrecisionTopicTweetSimilarityEngine.scala @@ -0,0 +1,123 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.contentrecommender.thriftscala.AlgorithmType +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TopicTweetWithScore +import com.twitter.cr_mixer.param.TopicTweetParams +import com.twitter.cr_mixer.similarity_engine.SkitTopicTweetSimilarityEngine._ +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclusters_v2.thriftscala.TopicId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.topic_recos.thriftscala.TopicTweet +import com.twitter.topic_recos.thriftscala.TopicTweetPartitionFlatKey +import com.twitter.util.Future + +@Singleton +case class SkitHighPrecisionTopicTweetSimilarityEngine @Inject() ( + @Named(ModuleNames.SkitStratoStoreName) skitStratoStore: ReadableStore[ + TopicTweetPartitionFlatKey, + Seq[TopicTweet] + ], + statsReceiver: StatsReceiver) + extends ReadableStore[EngineQuery[Query], Seq[TopicTweetWithScore]] { + + private val name: String = this.getClass.getSimpleName + private val stats = statsReceiver.scope(name) + + override def get(query: EngineQuery[Query]): Future[Option[Seq[TopicTweetWithScore]]] = { + StatsUtil.trackOptionItemsStats(stats) { + fetch(query).map { tweets => + val topTweets = + tweets + .sortBy(-_.favCount) + .take(query.storeQuery.maxCandidates) + .map { tweet => + TopicTweetWithScore( + tweetId = tweet.tweetId, + score = tweet.favCount, + similarityEngineType = SimilarityEngineType.SkitHighPrecisionTopicTweet + ) + } + Some(topTweets) + } + } + } + + private def fetch(query: EngineQuery[Query]): Future[Seq[SkitTopicTweet]] = { + val latestTweetTimeInHour = System.currentTimeMillis() / 1000 / 60 / 60 + + val earliestTweetTimeInHour = latestTweetTimeInHour - + math.min(MaxTweetAgeInHours, query.storeQuery.maxTweetAge.inHours) + val timedKeys = for (timePartition <- earliestTweetTimeInHour to latestTweetTimeInHour) yield { + + TopicTweetPartitionFlatKey( + entityId = query.storeQuery.topicId.entityId, + timePartition = timePartition, + algorithmType = Some(AlgorithmType.SemanticCoreTweet), + tweetEmbeddingType = Some(EmbeddingType.LogFavBasedTweet), + language = query.storeQuery.topicId.language.getOrElse("").toLowerCase, + country = None, // Disable country. It is not used. + semanticCoreAnnotationVersionId = Some(query.storeQuery.semanticCoreVersionId) + ) + } + + getTweetsForKeys( + timedKeys, + query.storeQuery.topicId + ) + } + + /** + * Given a set of keys, multiget the underlying Strato store, combine and flatten the results. + */ + private def getTweetsForKeys( + keys: Seq[TopicTweetPartitionFlatKey], + sourceTopic: TopicId + ): Future[Seq[SkitTopicTweet]] = { + Future + .collect { skitStratoStore.multiGet(keys.toSet).values.toSeq } + .map { combinedResults => + val topTweets = combinedResults.flatten.flatten + topTweets.map { tweet => + SkitTopicTweet( + tweetId = tweet.tweetId, + favCount = tweet.scores.favCount.getOrElse(0L), + cosineSimilarityScore = tweet.scores.cosineSimilarity.getOrElse(0.0), + sourceTopic = sourceTopic + ) + } + } + } +} + +object SkitHighPrecisionTopicTweetSimilarityEngine { + + def fromParams( + topicId: TopicId, + isVideoOnly: Boolean, + params: configapi.Params, + ): EngineQuery[Query] = { + val maxCandidates = if (isVideoOnly) { + params(TopicTweetParams.MaxSkitHighPrecisionCandidatesParam) * 2 + } else { + params(TopicTweetParams.MaxSkitHighPrecisionCandidatesParam) + } + + EngineQuery( + Query( + topicId = topicId, + maxCandidates = maxCandidates, + maxTweetAge = params(TopicTweetParams.MaxTweetAge), + semanticCoreVersionId = params(TopicTweetParams.SemanticCoreVersionIdParam) + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SkitTopicTweetSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SkitTopicTweetSimilarityEngine.scala new file mode 100644 index 000000000..44bb4b319 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/SkitTopicTweetSimilarityEngine.scala @@ -0,0 +1,143 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.contentrecommender.thriftscala.AlgorithmType +import com.twitter.conversions.DurationOps._ +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.TopicTweetWithScore +import com.twitter.cr_mixer.param.TopicTweetParams +import com.twitter.cr_mixer.similarity_engine.SkitTopicTweetSimilarityEngine._ +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclusters_v2.thriftscala.ModelVersion +import com.twitter.simclusters_v2.thriftscala.TopicId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.topic_recos.thriftscala.TopicTweet +import com.twitter.topic_recos.thriftscala.TopicTweetPartitionFlatKey +import com.twitter.util.Duration +import com.twitter.util.Future + +@Singleton +case class SkitTopicTweetSimilarityEngine @Inject() ( + @Named(ModuleNames.SkitStratoStoreName) skitStratoStore: ReadableStore[ + TopicTweetPartitionFlatKey, + Seq[TopicTweet] + ], + statsReceiver: StatsReceiver) + extends ReadableStore[EngineQuery[Query], Seq[TopicTweetWithScore]] { + + private val name: String = this.getClass.getSimpleName + private val stats = statsReceiver.scope(name) + + override def get(query: EngineQuery[Query]): Future[Option[Seq[TopicTweetWithScore]]] = { + StatsUtil.trackOptionItemsStats(stats) { + fetch(query).map { tweets => + val topTweets = + tweets + .sortBy(-_.cosineSimilarityScore) + .take(query.storeQuery.maxCandidates) + .map { tweet => + TopicTweetWithScore( + tweetId = tweet.tweetId, + score = tweet.cosineSimilarityScore, + similarityEngineType = SimilarityEngineType.SkitTfgTopicTweet + ) + } + Some(topTweets) + } + } + } + + private def fetch(query: EngineQuery[Query]): Future[Seq[SkitTopicTweet]] = { + val latestTweetTimeInHour = System.currentTimeMillis() / 1000 / 60 / 60 + + val earliestTweetTimeInHour = latestTweetTimeInHour - + math.min(MaxTweetAgeInHours, query.storeQuery.maxTweetAge.inHours) + val timedKeys = for (timePartition <- earliestTweetTimeInHour to latestTweetTimeInHour) yield { + + TopicTweetPartitionFlatKey( + entityId = query.storeQuery.topicId.entityId, + timePartition = timePartition, + algorithmType = Some(AlgorithmType.TfgTweet), + tweetEmbeddingType = Some(EmbeddingType.LogFavBasedTweet), + language = query.storeQuery.topicId.language.getOrElse("").toLowerCase, + country = None, // Disable country. It is not used. + semanticCoreAnnotationVersionId = Some(query.storeQuery.semanticCoreVersionId), + simclustersModelVersion = Some(ModelVersion.Model20m145k2020) + ) + } + + getTweetsForKeys( + timedKeys, + query.storeQuery.topicId + ) + } + + /** + * Given a set of keys, multiget the underlying Strato store, combine and flatten the results. + */ + private def getTweetsForKeys( + keys: Seq[TopicTweetPartitionFlatKey], + sourceTopic: TopicId + ): Future[Seq[SkitTopicTweet]] = { + Future + .collect { skitStratoStore.multiGet(keys.toSet).values.toSeq } + .map { combinedResults => + val topTweets = combinedResults.flatten.flatten + topTweets.map { tweet => + SkitTopicTweet( + tweetId = tweet.tweetId, + favCount = tweet.scores.favCount.getOrElse(0L), + cosineSimilarityScore = tweet.scores.cosineSimilarity.getOrElse(0.0), + sourceTopic = sourceTopic + ) + } + } + } +} + +object SkitTopicTweetSimilarityEngine { + + val MaxTweetAgeInHours: Int = 7.days.inHours // Simple guard to prevent overloading + + // Query is used as a cache key. Do not add any user level information in this. + case class Query( + topicId: TopicId, + maxCandidates: Int, + maxTweetAge: Duration, + semanticCoreVersionId: Long) + + case class SkitTopicTweet( + sourceTopic: TopicId, + tweetId: TweetId, + favCount: Long, + cosineSimilarityScore: Double) + + def fromParams( + topicId: TopicId, + isVideoOnly: Boolean, + params: configapi.Params, + ): EngineQuery[Query] = { + val maxCandidates = if (isVideoOnly) { + params(TopicTweetParams.MaxSkitTfgCandidatesParam) * 2 + } else { + params(TopicTweetParams.MaxSkitTfgCandidatesParam) + } + + EngineQuery( + Query( + topicId = topicId, + maxCandidates = maxCandidates, + maxTweetAge = params(TopicTweetParams.MaxTweetAge), + semanticCoreVersionId = params(TopicTweetParams.SemanticCoreVersionIdParam) + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/StandardSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/StandardSimilarityEngine.scala new file mode 100644 index 000000000..ae71c3736 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/StandardSimilarityEngine.scala @@ -0,0 +1,65 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.MemCacheConfig +import com.twitter.cr_mixer.similarity_engine.SimilarityEngine.SimilarityEngineConfig +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi.Params +import com.twitter.util.Future + +/** + * @tparam Query ReadableStore's input type. + */ +case class EngineQuery[Query]( + storeQuery: Query, + params: Params, +) + +/** + * A straight forward SimilarityEngine implementation that wraps a ReadableStore + * + * @param implementingStore Provides the candidate retrieval's implementations + * @param memCacheConfig If specified, it will wrap the underlying store with a MemCache layer + * You should only enable this for cacheable queries, e.x. TweetIds. + * consumer based UserIds are generally not possible to cache. + * @tparam Query ReadableStore's input type + * @tparam Candidate ReadableStore's return type is Seq[[[Candidate]]] + */ +class StandardSimilarityEngine[Query, Candidate <: Serializable]( + implementingStore: ReadableStore[Query, Seq[Candidate]], + override val identifier: SimilarityEngineType, + globalStats: StatsReceiver, + engineConfig: SimilarityEngineConfig, + memCacheConfig: Option[MemCacheConfig[Query]] = None) + extends SimilarityEngine[EngineQuery[Query], Candidate] { + + private val scopedStats = globalStats.scope("similarityEngine", identifier.toString) + + def getScopedStats: StatsReceiver = scopedStats + + // Add memcache wrapper, if specified + private val store = { + memCacheConfig match { + case Some(config) => + SimilarityEngine.addMemCache( + underlyingStore = implementingStore, + memCacheConfig = config, + statsReceiver = scopedStats + ) + case _ => implementingStore + } + } + + override def getCandidates( + engineQuery: EngineQuery[Query] + ): Future[Option[Seq[Candidate]]] = { + SimilarityEngine.getFromFn( + store.get, + engineQuery.storeQuery, + engineConfig, + engineQuery.params, + scopedStats + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedQigSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedQigSimilarityEngine.scala new file mode 100644 index 000000000..317f09727 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedQigSimilarityEngine.scala @@ -0,0 +1,114 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.base.Stats +import com.twitter.product_mixer.core.thriftscala.ClientContext +import com.twitter.qig_ranker.thriftscala.Product +import com.twitter.qig_ranker.thriftscala.ProductContext +import com.twitter.qig_ranker.thriftscala.QigRanker +import com.twitter.qig_ranker.thriftscala.QigRankerProductResponse +import com.twitter.qig_ranker.thriftscala.QigRankerRequest +import com.twitter.qig_ranker.thriftscala.QigRankerResponse +import com.twitter.qig_ranker.thriftscala.TwistlySimilarTweetsProductContext +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Singleton + +/** + * This store looks for similar tweets from QueryInteractionGraph (QIG) for a source tweet id. + * For a given query tweet, QIG returns us the similar tweets that have an overlap of engagements + * (with the query tweet) on different search queries + */ +@Singleton +case class TweetBasedQigSimilarityEngine( + qigRanker: QigRanker.MethodPerEndpoint, + statsReceiver: StatsReceiver) + extends ReadableStore[ + TweetBasedQigSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + override def get( + query: TweetBasedQigSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + query.sourceId match { + case InternalId.TweetId(tweetId) => + val qigSimilarTweetsRequest = getQigSimilarTweetsRequest(tweetId) + + Stats.trackOption(fetchCandidatesStat) { + qigRanker + .getSimilarCandidates(qigSimilarTweetsRequest) + .map { qigSimilarTweetsResponse => + getCandidatesFromQigResponse(qigSimilarTweetsResponse) + } + } + case _ => + Future.value(None) + } + } + + private def getQigSimilarTweetsRequest( + tweetId: Long + ): QigRankerRequest = { + // Note: QigRanker needs a non-empty userId to be passed to return results. + // We are passing in a dummy userId until we fix this on QigRanker side + val clientContext = ClientContext(userId = Some(0L)) + val productContext = ProductContext.TwistlySimilarTweetsProductContext( + TwistlySimilarTweetsProductContext(tweetId = tweetId)) + + QigRankerRequest( + clientContext = clientContext, + product = Product.TwistlySimilarTweets, + productContext = Some(productContext), + ) + } + + private def getCandidatesFromQigResponse( + qigSimilarTweetsResponse: QigRankerResponse + ): Option[Seq[TweetWithScore]] = { + qigSimilarTweetsResponse.productResponse match { + case QigRankerProductResponse + .TwistlySimilarTweetCandidatesResponse(response) => + val tweetsWithScore = response.similarTweets + .map { similarTweetResult => + TweetWithScore( + similarTweetResult.tweetResult.tweetId, + similarTweetResult.tweetResult.score.getOrElse(0L)) + } + Some(tweetsWithScore) + + case _ => None + } + } +} + +object TweetBasedQigSimilarityEngine { + + def toSimilarityEngineInfo(score: Double): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.Qig, + modelId = None, + score = Some(score)) + } + + case class Query(sourceId: InternalId) + + def fromParams( + sourceId: InternalId, + params: configapi.Params, + ): EngineQuery[Query] = { + EngineQuery( + Query(sourceId = sourceId), + params + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUnifiedSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUnifiedSimilarityEngine.scala new file mode 100644 index 000000000..6b84e2f67 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUnifiedSimilarityEngine.scala @@ -0,0 +1,962 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.model.TweetWithCandidateGenerationInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.RelatedTweetTweetBasedParams +import com.twitter.cr_mixer.param.RelatedVideoTweetTweetBasedParams +import com.twitter.cr_mixer.param.SimClustersANNParams +import com.twitter.cr_mixer.param.TweetBasedCandidateGenerationParams +import com.twitter.cr_mixer.param.TweetBasedTwHINParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.cr_mixer.util.InterleaveUtil +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.ModelVersions +import com.twitter.simclusters_v2.thriftscala.EmbeddingType +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.mutable.ArrayBuffer + +/** + * This store fetches similar tweets from multiple tweet based candidate sources + * and combines them using different methods obtained from query params + */ +@Singleton +case class TweetBasedUnifiedSimilarityEngine( + @Named(ModuleNames.TweetBasedUserTweetGraphSimilarityEngine) + tweetBasedUserTweetGraphSimilarityEngine: StandardSimilarityEngine[ + TweetBasedUserTweetGraphSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.TweetBasedUserVideoGraphSimilarityEngine) + tweetBasedUserVideoGraphSimilarityEngine: StandardSimilarityEngine[ + TweetBasedUserVideoGraphSimilarityEngine.Query, + TweetWithScore + ], + simClustersANNSimilarityEngine: StandardSimilarityEngine[ + SimClustersANNSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.TweetBasedQigSimilarityEngine) + tweetBasedQigSimilarTweetsSimilarityEngine: StandardSimilarityEngine[ + TweetBasedQigSimilarityEngine.Query, + TweetWithScore + ], + @Named(ModuleNames.TweetBasedTwHINANNSimilarityEngine) + tweetBasedTwHINANNSimilarityEngine: HnswANNSimilarityEngine, + statsReceiver: StatsReceiver) + extends ReadableStore[ + TweetBasedUnifiedSimilarityEngine.Query, + Seq[TweetWithCandidateGenerationInfo] + ] { + + import TweetBasedUnifiedSimilarityEngine._ + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + + override def get( + query: Query + ): Future[Option[Seq[TweetWithCandidateGenerationInfo]]] = { + + query.sourceInfo.internalId match { + case _: InternalId.TweetId => + StatsUtil.trackOptionItemsStats(fetchCandidatesStat) { + val twhinQuery = + HnswANNEngineQuery( + sourceId = query.sourceInfo.internalId, + modelId = query.twhinModelId, + params = query.params) + val utgCandidatesFut = + if (query.enableUtg) + tweetBasedUserTweetGraphSimilarityEngine.getCandidates(query.utgQuery) + else Future.None + + val uvgCandidatesFut = + if (query.enableUvg) + tweetBasedUserVideoGraphSimilarityEngine.getCandidates(query.uvgQuery) + else Future.None + + val sannCandidatesFut = if (query.enableSimClustersANN) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANNQuery) + } else Future.None + + val sann1CandidatesFut = + if (query.enableSimClustersANN1) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN1Query) + } else Future.None + + val sann2CandidatesFut = + if (query.enableSimClustersANN2) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN2Query) + } else Future.None + + val sann3CandidatesFut = + if (query.enableSimClustersANN3) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN3Query) + } else Future.None + + val sann5CandidatesFut = + if (query.enableSimClustersANN5) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN5Query) + } else Future.None + + val sann4CandidatesFut = + if (query.enableSimClustersANN4) { + simClustersANNSimilarityEngine.getCandidates(query.simClustersANN4Query) + } else Future.None + + val experimentalSANNCandidatesFut = + if (query.enableExperimentalSimClustersANN) { + simClustersANNSimilarityEngine.getCandidates(query.experimentalSimClustersANNQuery) + } else Future.None + + val qigCandidatesFut = + if (query.enableQig) + tweetBasedQigSimilarTweetsSimilarityEngine.getCandidates(query.qigQuery) + else Future.None + + val twHINCandidateFut = if (query.enableTwHIN) { + tweetBasedTwHINANNSimilarityEngine.getCandidates(twhinQuery) + } else Future.None + + Future + .join( + utgCandidatesFut, + sannCandidatesFut, + sann1CandidatesFut, + sann2CandidatesFut, + sann3CandidatesFut, + sann5CandidatesFut, + sann4CandidatesFut, + experimentalSANNCandidatesFut, + qigCandidatesFut, + twHINCandidateFut, + uvgCandidatesFut + ).map { + case ( + userTweetGraphCandidates, + simClustersANNCandidates, + simClustersANN1Candidates, + simClustersANN2Candidates, + simClustersANN3Candidates, + simClustersANN5Candidates, + simClustersANN4Candidates, + experimentalSANNCandidates, + qigSimilarTweetsCandidates, + twhinCandidates, + userVideoGraphCandidates) => + val filteredUTGTweets = + userTweetGraphFilter(userTweetGraphCandidates.toSeq.flatten) + val filteredUVGTweets = + userVideoGraphFilter(userVideoGraphCandidates.toSeq.flatten) + val filteredSANNTweets = simClustersCandidateMinScoreFilter( + simClustersANNCandidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANNQuery.storeQuery.simClustersANNConfigId) + + val filteredSANN1Tweets = simClustersCandidateMinScoreFilter( + simClustersANN1Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN1Query.storeQuery.simClustersANNConfigId) + + val filteredSANN2Tweets = simClustersCandidateMinScoreFilter( + simClustersANN2Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN2Query.storeQuery.simClustersANNConfigId) + + val filteredSANN3Tweets = simClustersCandidateMinScoreFilter( + simClustersANN3Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN3Query.storeQuery.simClustersANNConfigId) + + val filteredSANN4Tweets = simClustersCandidateMinScoreFilter( + simClustersANN4Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN4Query.storeQuery.simClustersANNConfigId) + + val filteredSANN5Tweets = simClustersCandidateMinScoreFilter( + simClustersANN5Candidates.toSeq.flatten, + query.simClustersMinScore, + query.simClustersANN5Query.storeQuery.simClustersANNConfigId) + + val filteredExperimentalSANNTweets = simClustersCandidateMinScoreFilter( + experimentalSANNCandidates.toSeq.flatten, + query.simClustersVideoBasedMinScore, + query.experimentalSimClustersANNQuery.storeQuery.simClustersANNConfigId) + + val filteredQigTweets = qigSimilarTweetsFilter( + qigSimilarTweetsCandidates.toSeq.flatten, + query.qigMaxTweetAgeHours, + query.qigMaxNumSimilarTweets + ) + + val filteredTwHINTweets = twhinFilter( + twhinCandidates.toSeq.flatten.sortBy(-_.score), + query.twhinMaxTweetAgeHours, + tweetBasedTwHINANNSimilarityEngine.getScopedStats + ) + val utgTweetsWithCGInfo = filteredUTGTweets.map { tweetWithScore => + val similarityEngineInfo = TweetBasedUserTweetGraphSimilarityEngine + .toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val uvgTweetsWithCGInfo = filteredUVGTweets.map { tweetWithScore => + val similarityEngineInfo = TweetBasedUserVideoGraphSimilarityEngine + .toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val sannTweetsWithCGInfo = filteredSANNTweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANNQuery, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val sann1TweetsWithCGInfo = filteredSANN1Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN1Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val sann2TweetsWithCGInfo = filteredSANN2Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN2Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val sann3TweetsWithCGInfo = filteredSANN3Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN3Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val sann4TweetsWithCGInfo = filteredSANN4Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN4Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val sann5TweetsWithCGInfo = filteredSANN5Tweets.map { tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo(query.simClustersANN5Query, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val experimentalSANNTweetsWithCGInfo = filteredExperimentalSANNTweets.map { + tweetWithScore => + val similarityEngineInfo = SimClustersANNSimilarityEngine + .toSimilarityEngineInfo( + query.experimentalSimClustersANNQuery, + tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + val qigTweetsWithCGInfo = filteredQigTweets.map { tweetWithScore => + val similarityEngineInfo = TweetBasedQigSimilarityEngine + .toSimilarityEngineInfo(tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val twHINTweetsWithCGInfo = filteredTwHINTweets.map { tweetWithScore => + val similarityEngineInfo = tweetBasedTwHINANNSimilarityEngine + .toSimilarityEngineInfo(twhinQuery, tweetWithScore.score) + TweetWithCandidateGenerationInfo( + tweetWithScore.tweetId, + CandidateGenerationInfo( + Some(query.sourceInfo), + similarityEngineInfo, + Seq(similarityEngineInfo) + )) + } + + val candidateSourcesToBeInterleaved = + ArrayBuffer[Seq[TweetWithCandidateGenerationInfo]]( + sannTweetsWithCGInfo, + experimentalSANNTweetsWithCGInfo, + sann1TweetsWithCGInfo, + sann2TweetsWithCGInfo, + sann3TweetsWithCGInfo, + sann5TweetsWithCGInfo, + sann4TweetsWithCGInfo, + qigTweetsWithCGInfo, + uvgTweetsWithCGInfo, + utgTweetsWithCGInfo, + twHINTweetsWithCGInfo + ) + + val interleavedCandidates = + InterleaveUtil.interleave(candidateSourcesToBeInterleaved) + + val unifiedCandidatesWithUnifiedCGInfo = + interleavedCandidates.map { candidate => + /*** + * when a candidate was made by interleave/keepGivenOrder, + * then we apply getTweetBasedUnifiedCGInfo() to override with the unified CGInfo + * + * we'll not have ALL SEs that generated the tweet + * in contributingSE list for interleave. We only have the chosen SE available. + */ + TweetWithCandidateGenerationInfo( + tweetId = candidate.tweetId, + candidateGenerationInfo = getTweetBasedUnifiedCGInfo( + candidate.candidateGenerationInfo.sourceInfoOpt, + candidate.getSimilarityScore, + candidate.candidateGenerationInfo.contributingSimilarityEngines + ) // getSimilarityScore comes from either unifiedScore or single score + ) + } + stats + .stat("unified_candidate_size").add(unifiedCandidatesWithUnifiedCGInfo.size) + + val truncatedCandidates = + unifiedCandidatesWithUnifiedCGInfo.take(query.maxCandidateNumPerSourceKey) + stats.stat("truncatedCandidates_size").add(truncatedCandidates.size) + + Some(truncatedCandidates) + } + } + + case _ => + stats.counter("sourceId_is_not_tweetId_cnt").incr() + Future.None + } + } + + private def simClustersCandidateMinScoreFilter( + simClustersAnnCandidates: Seq[TweetWithScore], + simClustersMinScore: Double, + simClustersANNConfigId: String + ): Seq[TweetWithScore] = { + val filteredCandidates = simClustersAnnCandidates + .filter { candidate => + candidate.score > simClustersMinScore + } + + stats.stat(simClustersANNConfigId, "simClustersAnnCandidates_size").add(filteredCandidates.size) + stats.counter(simClustersANNConfigId, "simClustersAnnRequests").incr() + if (filteredCandidates.isEmpty) + stats.counter(simClustersANNConfigId, "emptyFilteredSimClustersAnnCandidates").incr() + + filteredCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + } + + /** Returns a list of tweets that are generated less than `maxTweetAgeHours` hours ago */ + private def tweetAgeFilter( + candidates: Seq[TweetWithScore], + maxTweetAgeHours: Duration + ): Seq[TweetWithScore] = { + // Tweet IDs are approximately chronological (see http://go/snowflake), + // so we are building the earliest tweet id once + // The per-candidate logic here then be candidate.tweetId > earliestPermittedTweetId, which is far cheaper. + val earliestTweetId = SnowflakeId.firstIdFor(Time.now - maxTweetAgeHours) + candidates.filter { candidate => candidate.tweetId >= earliestTweetId } + } + + private def twhinFilter( + twhinCandidates: Seq[TweetWithScore], + twhinMaxTweetAgeHours: Duration, + simEngineStats: StatsReceiver + ): Seq[TweetWithScore] = { + simEngineStats.stat("twhinCandidates_size").add(twhinCandidates.size) + val candidates = twhinCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + + val filteredCandidates = tweetAgeFilter(candidates, twhinMaxTweetAgeHours) + simEngineStats.stat("filteredTwhinCandidates_size").add(filteredCandidates.size) + if (filteredCandidates.isEmpty) simEngineStats.counter("emptyFilteredTwhinCandidates").incr() + + filteredCandidates + } + + /** A no-op filter as UTG filtering already happens on UTG service side */ + private def userTweetGraphFilter( + userTweetGraphCandidates: Seq[TweetWithScore] + ): Seq[TweetWithScore] = { + val filteredCandidates = userTweetGraphCandidates + + stats.stat("userTweetGraphCandidates_size").add(userTweetGraphCandidates.size) + if (filteredCandidates.isEmpty) stats.counter("emptyFilteredUserTweetGraphCandidates").incr() + + filteredCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + } + + /** A no-op filter as UVG filtering already happens on UVG service side */ + private def userVideoGraphFilter( + userVideoGraphCandidates: Seq[TweetWithScore] + ): Seq[TweetWithScore] = { + val filteredCandidates = userVideoGraphCandidates + + stats.stat("userVideoGraphCandidates_size").add(userVideoGraphCandidates.size) + if (filteredCandidates.isEmpty) stats.counter("emptyFilteredUserVideoGraphCandidates").incr() + + filteredCandidates.map { candidate => + TweetWithScore(candidate.tweetId, candidate.score) + } + } + private def qigSimilarTweetsFilter( + qigSimilarTweetsCandidates: Seq[TweetWithScore], + qigMaxTweetAgeHours: Duration, + qigMaxNumSimilarTweets: Int + ): Seq[TweetWithScore] = { + val ageFilteredCandidates = tweetAgeFilter(qigSimilarTweetsCandidates, qigMaxTweetAgeHours) + stats.stat("ageFilteredQigSimilarTweetsCandidates_size").add(ageFilteredCandidates.size) + + val filteredCandidates = ageFilteredCandidates.take(qigMaxNumSimilarTweets) + if (filteredCandidates.isEmpty) stats.counter("emptyFilteredQigSimilarTweetsCandidates").incr() + + filteredCandidates + } + + /*** + * Every candidate will have the CG Info with TweetBasedUnifiedSimilarityEngine + * as they are generated by a composite of Similarity Engines. + * Additionally, we store the contributing SEs (eg., SANN, UTG). + */ + private def getTweetBasedUnifiedCGInfo( + sourceInfoOpt: Option[SourceInfo], + unifiedScore: Double, + contributingSimilarityEngines: Seq[SimilarityEngineInfo] + ): CandidateGenerationInfo = { + CandidateGenerationInfo( + sourceInfoOpt, + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.TweetBasedUnifiedSimilarityEngine, + modelId = None, // We do not assign modelId for a unified similarity engine + score = Some(unifiedScore) + ), + contributingSimilarityEngines + ) + } +} + +object TweetBasedUnifiedSimilarityEngine { + + case class Query( + sourceInfo: SourceInfo, + maxCandidateNumPerSourceKey: Int, + enableSimClustersANN: Boolean, + simClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableExperimentalSimClustersANN: Boolean, + experimentalSimClustersANNQuery: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN1: Boolean, + simClustersANN1Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN2: Boolean, + simClustersANN2Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN3: Boolean, + simClustersANN3Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN5: Boolean, + simClustersANN5Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + enableSimClustersANN4: Boolean, + simClustersANN4Query: EngineQuery[SimClustersANNSimilarityEngine.Query], + simClustersMinScore: Double, + simClustersVideoBasedMinScore: Double, + twhinModelId: String, + enableTwHIN: Boolean, + twhinMaxTweetAgeHours: Duration, + qigMaxTweetAgeHours: Duration, + qigMaxNumSimilarTweets: Int, + enableUtg: Boolean, + utgQuery: EngineQuery[TweetBasedUserTweetGraphSimilarityEngine.Query], + enableUvg: Boolean, + uvgQuery: EngineQuery[TweetBasedUserVideoGraphSimilarityEngine.Query], + enableQig: Boolean, + qigQuery: EngineQuery[TweetBasedQigSimilarityEngine.Query], + params: configapi.Params) + + def fromParams( + sourceInfo: SourceInfo, + params: configapi.Params, + ): EngineQuery[Query] = { + // SimClusters + val enableSimClustersANN = + params(TweetBasedCandidateGenerationParams.EnableSimClustersANNParam) + + val simClustersModelVersion = + ModelVersions.Enum.enumToSimClustersModelVersionMap(params(GlobalParams.ModelVersionParam)) + val simClustersMinScore = params(TweetBasedCandidateGenerationParams.SimClustersMinScoreParam) + val simClustersVideoBasedMinScore = params( + TweetBasedCandidateGenerationParams.SimClustersVideoBasedMinScoreParam) + val simClustersANNConfigId = params(SimClustersANNParams.SimClustersANNConfigId) + // SimClusters - Experimental SANN Similarity Engine (Video based SE) + val enableExperimentalSimClustersANN = + params(TweetBasedCandidateGenerationParams.EnableExperimentalSimClustersANNParam) + + val experimentalSimClustersANNConfigId = params( + SimClustersANNParams.ExperimentalSimClustersANNConfigId) + // SimClusters - SANN cluster 1 Similarity Engine + val enableSimClustersANN1 = + params(TweetBasedCandidateGenerationParams.EnableSimClustersANN1Param) + + val simClustersANN1ConfigId = params(SimClustersANNParams.SimClustersANN1ConfigId) + // SimClusters - SANN cluster 2 Similarity Engine + val enableSimClustersANN2 = + params(TweetBasedCandidateGenerationParams.EnableSimClustersANN2Param) + val simClustersANN2ConfigId = params(SimClustersANNParams.SimClustersANN2ConfigId) + // SimClusters - SANN cluster 3 Similarity Engine + val enableSimClustersANN3 = + params(TweetBasedCandidateGenerationParams.EnableSimClustersANN3Param) + val simClustersANN3ConfigId = params(SimClustersANNParams.SimClustersANN3ConfigId) + // SimClusters - SANN cluster 5 Similarity Engine + val enableSimClustersANN5 = + params(TweetBasedCandidateGenerationParams.EnableSimClustersANN5Param) + val simClustersANN5ConfigId = params(SimClustersANNParams.SimClustersANN5ConfigId) + // SimClusters - SANN cluster 4 Similarity Engine + val enableSimClustersANN4 = + params(TweetBasedCandidateGenerationParams.EnableSimClustersANN4Param) + val simClustersANN4ConfigId = params(SimClustersANNParams.SimClustersANN4ConfigId) + // SimClusters ANN Queries for different SANN clusters + val simClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANNConfigId, + params + ) + val experimentalSimClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + experimentalSimClustersANNConfigId, + params + ) + val simClustersANN1Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN1ConfigId, + params + ) + val simClustersANN2Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN2ConfigId, + params + ) + val simClustersANN3Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN3ConfigId, + params + ) + val simClustersANN5Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN5ConfigId, + params + ) + val simClustersANN4Query = SimClustersANNSimilarityEngine.fromParams( + sourceInfo.internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN4ConfigId, + params + ) + // TweetBasedCandidateGeneration + val maxCandidateNumPerSourceKey = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + // TwHIN + val twhinModelId = params(TweetBasedTwHINParams.ModelIdParam) + val enableTwHIN = + params(TweetBasedCandidateGenerationParams.EnableTwHINParam) + + val twhinMaxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam) + + // QIG + val enableQig = + params(TweetBasedCandidateGenerationParams.EnableQigSimilarTweetsParam) + val qigMaxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam) + val qigMaxNumSimilarTweets = params( + TweetBasedCandidateGenerationParams.QigMaxNumSimilarTweetsParam) + + // UTG + val enableUtg = + params(TweetBasedCandidateGenerationParams.EnableUTGParam) + // UVG + val enableUvg = + params(TweetBasedCandidateGenerationParams.EnableUVGParam) + EngineQuery( + Query( + sourceInfo = sourceInfo, + maxCandidateNumPerSourceKey = maxCandidateNumPerSourceKey, + enableSimClustersANN = enableSimClustersANN, + simClustersANNQuery = simClustersANNQuery, + enableExperimentalSimClustersANN = enableExperimentalSimClustersANN, + experimentalSimClustersANNQuery = experimentalSimClustersANNQuery, + enableSimClustersANN1 = enableSimClustersANN1, + simClustersANN1Query = simClustersANN1Query, + enableSimClustersANN2 = enableSimClustersANN2, + simClustersANN2Query = simClustersANN2Query, + enableSimClustersANN3 = enableSimClustersANN3, + simClustersANN3Query = simClustersANN3Query, + enableSimClustersANN5 = enableSimClustersANN5, + simClustersANN5Query = simClustersANN5Query, + enableSimClustersANN4 = enableSimClustersANN4, + simClustersANN4Query = simClustersANN4Query, + simClustersMinScore = simClustersMinScore, + simClustersVideoBasedMinScore = simClustersVideoBasedMinScore, + twhinModelId = twhinModelId, + enableTwHIN = enableTwHIN, + twhinMaxTweetAgeHours = twhinMaxTweetAgeHours, + qigMaxTweetAgeHours = qigMaxTweetAgeHours, + qigMaxNumSimilarTweets = qigMaxNumSimilarTweets, + enableUtg = enableUtg, + utgQuery = TweetBasedUserTweetGraphSimilarityEngine + .fromParams(sourceInfo.internalId, params), + enableQig = enableQig, + qigQuery = TweetBasedQigSimilarityEngine.fromParams(sourceInfo.internalId, params), + enableUvg = enableUvg, + uvgQuery = + TweetBasedUserVideoGraphSimilarityEngine.fromParams(sourceInfo.internalId, params), + params = params + ), + params + ) + } + + def fromParamsForRelatedTweet( + internalId: InternalId, + params: configapi.Params, + ): EngineQuery[Query] = { + // SimClusters + val enableSimClustersANN = params(RelatedTweetTweetBasedParams.EnableSimClustersANNParam) + val simClustersModelVersion = + ModelVersions.Enum.enumToSimClustersModelVersionMap(params(GlobalParams.ModelVersionParam)) + val simClustersMinScore = params(RelatedTweetTweetBasedParams.SimClustersMinScoreParam) + val simClustersANNConfigId = params(SimClustersANNParams.SimClustersANNConfigId) + val enableExperimentalSimClustersANN = + params(RelatedTweetTweetBasedParams.EnableExperimentalSimClustersANNParam) + val experimentalSimClustersANNConfigId = params( + SimClustersANNParams.ExperimentalSimClustersANNConfigId) + // SimClusters - SANN cluster 1 Similarity Engine + val enableSimClustersANN1 = params(RelatedTweetTweetBasedParams.EnableSimClustersANN1Param) + val simClustersANN1ConfigId = params(SimClustersANNParams.SimClustersANN1ConfigId) + // SimClusters - SANN cluster 2 Similarity Engine + val enableSimClustersANN2 = params(RelatedTweetTweetBasedParams.EnableSimClustersANN2Param) + val simClustersANN2ConfigId = params(SimClustersANNParams.SimClustersANN2ConfigId) + // SimClusters - SANN cluster 3 Similarity Engine + val enableSimClustersANN3 = params(RelatedTweetTweetBasedParams.EnableSimClustersANN3Param) + val simClustersANN3ConfigId = params(SimClustersANNParams.SimClustersANN3ConfigId) + // SimClusters - SANN cluster 5 Similarity Engine + val enableSimClustersANN5 = params(RelatedTweetTweetBasedParams.EnableSimClustersANN5Param) + val simClustersANN5ConfigId = params(SimClustersANNParams.SimClustersANN5ConfigId) + // SimClusters - SANN cluster 4 Similarity Engine + val enableSimClustersANN4 = params(RelatedTweetTweetBasedParams.EnableSimClustersANN4Param) + val simClustersANN4ConfigId = params(SimClustersANNParams.SimClustersANN4ConfigId) + // SimClusters ANN Queries for different SANN clusters + val simClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANNConfigId, + params + ) + val experimentalSimClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + experimentalSimClustersANNConfigId, + params + ) + val simClustersANN1Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN1ConfigId, + params + ) + val simClustersANN2Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN2ConfigId, + params + ) + val simClustersANN3Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN3ConfigId, + params + ) + val simClustersANN5Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN5ConfigId, + params + ) + val simClustersANN4Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN4ConfigId, + params + ) + // TweetBasedCandidateGeneration + val maxCandidateNumPerSourceKey = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + // TwHIN + val twhinModelId = params(TweetBasedTwHINParams.ModelIdParam) + val enableTwHIN = params(RelatedTweetTweetBasedParams.EnableTwHINParam) + val twhinMaxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam) + // QIG + val enableQig = params(RelatedTweetTweetBasedParams.EnableQigSimilarTweetsParam) + val qigMaxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam) + val qigMaxNumSimilarTweets = params( + TweetBasedCandidateGenerationParams.QigMaxNumSimilarTweetsParam) + // UTG + val enableUtg = params(RelatedTweetTweetBasedParams.EnableUTGParam) + // UVG + val enableUvg = params(RelatedTweetTweetBasedParams.EnableUVGParam) + // SourceType.RequestTweetId is a placeholder. + val sourceInfo = SourceInfo(SourceType.RequestTweetId, internalId, None) + + EngineQuery( + Query( + sourceInfo = sourceInfo, + maxCandidateNumPerSourceKey = maxCandidateNumPerSourceKey, + enableSimClustersANN = enableSimClustersANN, + simClustersMinScore = simClustersMinScore, + simClustersVideoBasedMinScore = simClustersMinScore, + simClustersANNQuery = simClustersANNQuery, + enableExperimentalSimClustersANN = enableExperimentalSimClustersANN, + experimentalSimClustersANNQuery = experimentalSimClustersANNQuery, + enableSimClustersANN1 = enableSimClustersANN1, + simClustersANN1Query = simClustersANN1Query, + enableSimClustersANN2 = enableSimClustersANN2, + simClustersANN2Query = simClustersANN2Query, + enableSimClustersANN3 = enableSimClustersANN3, + simClustersANN3Query = simClustersANN3Query, + enableSimClustersANN5 = enableSimClustersANN5, + simClustersANN5Query = simClustersANN5Query, + enableSimClustersANN4 = enableSimClustersANN4, + simClustersANN4Query = simClustersANN4Query, + twhinModelId = twhinModelId, + enableTwHIN = enableTwHIN, + twhinMaxTweetAgeHours = twhinMaxTweetAgeHours, + qigMaxTweetAgeHours = qigMaxTweetAgeHours, + qigMaxNumSimilarTweets = qigMaxNumSimilarTweets, + enableUtg = enableUtg, + utgQuery = TweetBasedUserTweetGraphSimilarityEngine + .fromParams(sourceInfo.internalId, params), + enableQig = enableQig, + qigQuery = TweetBasedQigSimilarityEngine.fromParams(sourceInfo.internalId, params), + enableUvg = enableUvg, + uvgQuery = + TweetBasedUserVideoGraphSimilarityEngine.fromParams(sourceInfo.internalId, params), + params = params, + ), + params + ) + } + def fromParamsForRelatedVideoTweet( + internalId: InternalId, + params: configapi.Params, + ): EngineQuery[Query] = { + // SimClusters + val enableSimClustersANN = params(RelatedVideoTweetTweetBasedParams.EnableSimClustersANNParam) + val simClustersModelVersion = + ModelVersions.Enum.enumToSimClustersModelVersionMap(params(GlobalParams.ModelVersionParam)) + val simClustersMinScore = params(RelatedVideoTweetTweetBasedParams.SimClustersMinScoreParam) + val simClustersANNConfigId = params(SimClustersANNParams.SimClustersANNConfigId) + val enableExperimentalSimClustersANN = params( + RelatedVideoTweetTweetBasedParams.EnableExperimentalSimClustersANNParam) + val experimentalSimClustersANNConfigId = params( + SimClustersANNParams.ExperimentalSimClustersANNConfigId) + // SimClusters - SANN cluster 1 Similarity Engine + val enableSimClustersANN1 = params(RelatedVideoTweetTweetBasedParams.EnableSimClustersANN1Param) + val simClustersANN1ConfigId = params(SimClustersANNParams.SimClustersANN1ConfigId) + // SimClusters - SANN cluster 2 Similarity Engine + val enableSimClustersANN2 = params(RelatedVideoTweetTweetBasedParams.EnableSimClustersANN2Param) + val simClustersANN2ConfigId = params(SimClustersANNParams.SimClustersANN2ConfigId) + // SimClusters - SANN cluster 3 Similarity Engine + val enableSimClustersANN3 = params(RelatedVideoTweetTweetBasedParams.EnableSimClustersANN3Param) + val simClustersANN3ConfigId = params(SimClustersANNParams.SimClustersANN3ConfigId) + // SimClusters - SANN cluster 5 Similarity Engine + val enableSimClustersANN5 = params(RelatedVideoTweetTweetBasedParams.EnableSimClustersANN5Param) + val simClustersANN5ConfigId = params(SimClustersANNParams.SimClustersANN5ConfigId) + + // SimClusters - SANN cluster 4 Similarity Engine + val enableSimClustersANN4 = params(RelatedVideoTweetTweetBasedParams.EnableSimClustersANN4Param) + val simClustersANN4ConfigId = params(SimClustersANNParams.SimClustersANN4ConfigId) + // SimClusters ANN Queries for different SANN clusters + val simClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANNConfigId, + params + ) + val experimentalSimClustersANNQuery = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + experimentalSimClustersANNConfigId, + params + ) + val simClustersANN1Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN1ConfigId, + params + ) + val simClustersANN2Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN2ConfigId, + params + ) + val simClustersANN3Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN3ConfigId, + params + ) + val simClustersANN5Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN5ConfigId, + params + ) + + val simClustersANN4Query = SimClustersANNSimilarityEngine.fromParams( + internalId, + EmbeddingType.LogFavLongestL2EmbeddingTweet, + simClustersModelVersion, + simClustersANN4ConfigId, + params + ) + // TweetBasedCandidateGeneration + val maxCandidateNumPerSourceKey = params(GlobalParams.MaxCandidateNumPerSourceKeyParam) + // TwHIN + val twhinModelId = params(TweetBasedTwHINParams.ModelIdParam) + val enableTwHIN = params(RelatedVideoTweetTweetBasedParams.EnableTwHINParam) + val twhinMaxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam) + // QIG + val enableQig = params(RelatedVideoTweetTweetBasedParams.EnableQigSimilarTweetsParam) + val qigMaxTweetAgeHours = params(GlobalParams.MaxTweetAgeHoursParam) + val qigMaxNumSimilarTweets = params( + TweetBasedCandidateGenerationParams.QigMaxNumSimilarTweetsParam) + // UTG + val enableUtg = params(RelatedVideoTweetTweetBasedParams.EnableUTGParam) + + // SourceType.RequestTweetId is a placeholder. + val sourceInfo = SourceInfo(SourceType.RequestTweetId, internalId, None) + + val enableUvg = params(RelatedVideoTweetTweetBasedParams.EnableUVGParam) + EngineQuery( + Query( + sourceInfo = sourceInfo, + maxCandidateNumPerSourceKey = maxCandidateNumPerSourceKey, + enableSimClustersANN = enableSimClustersANN, + simClustersMinScore = simClustersMinScore, + simClustersVideoBasedMinScore = simClustersMinScore, + simClustersANNQuery = simClustersANNQuery, + enableExperimentalSimClustersANN = enableExperimentalSimClustersANN, + experimentalSimClustersANNQuery = experimentalSimClustersANNQuery, + enableSimClustersANN1 = enableSimClustersANN1, + simClustersANN1Query = simClustersANN1Query, + enableSimClustersANN2 = enableSimClustersANN2, + simClustersANN2Query = simClustersANN2Query, + enableSimClustersANN3 = enableSimClustersANN3, + simClustersANN3Query = simClustersANN3Query, + enableSimClustersANN5 = enableSimClustersANN5, + simClustersANN5Query = simClustersANN5Query, + enableSimClustersANN4 = enableSimClustersANN4, + simClustersANN4Query = simClustersANN4Query, + twhinModelId = twhinModelId, + enableTwHIN = enableTwHIN, + twhinMaxTweetAgeHours = twhinMaxTweetAgeHours, + qigMaxTweetAgeHours = qigMaxTweetAgeHours, + qigMaxNumSimilarTweets = qigMaxNumSimilarTweets, + enableUtg = enableUtg, + utgQuery = TweetBasedUserTweetGraphSimilarityEngine + .fromParams(sourceInfo.internalId, params), + enableUvg = enableUvg, + uvgQuery = + TweetBasedUserVideoGraphSimilarityEngine.fromParams(sourceInfo.internalId, params), + enableQig = enableQig, + qigQuery = TweetBasedQigSimilarityEngine.fromParams(sourceInfo.internalId, params), + params = params + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserAdGraphSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserAdGraphSimilarityEngine.scala new file mode 100644 index 000000000..365bead35 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserAdGraphSimilarityEngine.scala @@ -0,0 +1,129 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.TweetBasedUserAdGraphParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.recos.user_ad_graph.thriftscala.ConsumersBasedRelatedAdRequest +import com.twitter.recos.user_ad_graph.thriftscala.RelatedAdResponse +import com.twitter.recos.user_ad_graph.thriftscala.UserAdGraph +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.twistly.thriftscala.TweetRecentEngagedUsers +import com.twitter.util.Future +import javax.inject.Singleton + +/** + * This store looks for similar tweets from UserAdGraph for a Source TweetId + * For a query tweet,User Ad Graph (UAG) + * lets us find out which other tweets share a lot of the same engagers with the query tweet + */ +@Singleton +case class TweetBasedUserAdGraphSimilarityEngine( + userAdGraphService: UserAdGraph.MethodPerEndpoint, + tweetEngagedUsersStore: ReadableStore[TweetId, TweetRecentEngagedUsers], + statsReceiver: StatsReceiver) + extends ReadableStore[ + TweetBasedUserAdGraphSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + import TweetBasedUserAdGraphSimilarityEngine._ + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val fetchCoverageExpansionCandidatesStat = stats.scope("fetchCoverageExpansionCandidates") + override def get( + query: TweetBasedUserAdGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + query.sourceId match { + case InternalId.TweetId(tweetId) => getCandidates(tweetId, query) + case _ => + Future.value(None) + } + } + + // We first fetch tweet's recent engaged users as consumeSeedSet from MH store, + // then query consumersBasedUTG using the consumerSeedSet + private def getCandidates( + tweetId: TweetId, + query: TweetBasedUserAdGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + StatsUtil + .trackOptionItemsStats(fetchCoverageExpansionCandidatesStat) { + tweetEngagedUsersStore + .get(tweetId).flatMap { + _.map { tweetRecentEngagedUsers => + val consumerSeedSet = + tweetRecentEngagedUsers.recentEngagedUsers + .map { _.userId }.take(query.maxConsumerSeedsNum) + val consumersBasedRelatedAdRequest = + ConsumersBasedRelatedAdRequest( + consumerSeedSet = consumerSeedSet, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + excludeTweetIds = Some(Seq(tweetId)), + minScore = Some(query.consumersBasedMinScore), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours) + ) + toTweetWithScore(userAdGraphService + .consumersBasedRelatedAds(consumersBasedRelatedAdRequest).map { Some(_) }) + }.getOrElse(Future.value(None)) + } + } + } + +} + +object TweetBasedUserAdGraphSimilarityEngine { + + def toSimilarityEngineInfo(score: Double): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.TweetBasedUserAdGraph, + modelId = None, + score = Some(score)) + } + private def toTweetWithScore( + relatedAdResponseFut: Future[Option[RelatedAdResponse]] + ): Future[Option[Seq[TweetWithScore]]] = { + relatedAdResponseFut.map { relatedAdResponseOpt => + relatedAdResponseOpt.map { relatedAdResponse => + val candidates = + relatedAdResponse.adTweets.map(tweet => TweetWithScore(tweet.adTweetId, tweet.score)) + + candidates + } + } + } + + case class Query( + sourceId: InternalId, + maxResults: Int, + minCooccurrence: Int, + consumersBasedMinScore: Double, + maxTweetAgeInHours: Int, + maxConsumerSeedsNum: Int, + ) + + def fromParams( + sourceId: InternalId, + params: configapi.Params, + ): EngineQuery[Query] = { + EngineQuery( + Query( + sourceId = sourceId, + maxResults = params(GlobalParams.MaxCandidateNumPerSourceKeyParam), + minCooccurrence = params(TweetBasedUserAdGraphParams.MinCoOccurrenceParam), + consumersBasedMinScore = params(TweetBasedUserAdGraphParams.ConsumersBasedMinScoreParam), + maxTweetAgeInHours = params(GlobalParams.MaxTweetAgeHoursParam).inHours, + maxConsumerSeedsNum = params(TweetBasedUserAdGraphParams.MaxConsumerSeedsNumParam), + ), + params + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserTweetGraphSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserTweetGraphSimilarityEngine.scala new file mode 100644 index 000000000..316f980a7 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserTweetGraphSimilarityEngine.scala @@ -0,0 +1,184 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.TweetBasedUserTweetGraphParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.recos.user_tweet_graph.thriftscala.RelatedTweetResponse +import com.twitter.recos.user_tweet_graph.thriftscala.TweetBasedRelatedTweetRequest +import com.twitter.recos.user_tweet_graph.thriftscala.ConsumersBasedRelatedTweetRequest +import com.twitter.recos.user_tweet_graph.thriftscala.UserTweetGraph +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.twistly.thriftscala.TweetRecentEngagedUsers +import com.twitter.util.Future +import javax.inject.Singleton +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.timelines.configapi +import com.twitter.util.Duration +import com.twitter.util.Time +import scala.concurrent.duration.HOURS + +/** + * This store looks for similar tweets from UserTweetGraph for a Source TweetId + * For a query tweet,User Tweet Graph (UTG), + * lets us find out which other tweets share a lot of the same engagers with the query tweet + * one-pager: go/UTG + */ +@Singleton +case class TweetBasedUserTweetGraphSimilarityEngine( + userTweetGraphService: UserTweetGraph.MethodPerEndpoint, + tweetEngagedUsersStore: ReadableStore[TweetId, TweetRecentEngagedUsers], + statsReceiver: StatsReceiver) + extends ReadableStore[ + TweetBasedUserTweetGraphSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + import TweetBasedUserTweetGraphSimilarityEngine._ + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + private val fetchCoverageExpansionCandidatesStat = stats.scope("fetchCoverageExpansionCandidates") + + override def get( + query: TweetBasedUserTweetGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + query.sourceId match { + case InternalId.TweetId(tweetId) if query.enableCoverageExpansionAllTweet => + getCoverageExpansionCandidates(tweetId, query) + + case InternalId.TweetId(tweetId) if query.enableCoverageExpansionOldTweet => // For Home + if (isOldTweet(tweetId)) getCoverageExpansionCandidates(tweetId, query) + else getCandidates(tweetId, query) + + case InternalId.TweetId(tweetId) => getCandidates(tweetId, query) + case _ => + Future.value(None) + } + } + + // This is the main candidate source + private def getCandidates( + tweetId: TweetId, + query: TweetBasedUserTweetGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + StatsUtil.trackOptionItemsStats(fetchCandidatesStat) { + val tweetBasedRelatedTweetRequest = { + TweetBasedRelatedTweetRequest( + tweetId, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + excludeTweetIds = Some(Seq(tweetId)), + minScore = Some(query.tweetBasedMinScore), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours) + ) + } + toTweetWithScore( + userTweetGraphService.tweetBasedRelatedTweets(tweetBasedRelatedTweetRequest).map { + Some(_) + }) + } + } + + // function for DDGs, for coverage expansion algo, we first fetch tweet's recent engaged users as consumeSeedSet from MH store, + // and query consumersBasedUTG using the consumeSeedSet + private def getCoverageExpansionCandidates( + tweetId: TweetId, + query: TweetBasedUserTweetGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + StatsUtil + .trackOptionItemsStats(fetchCoverageExpansionCandidatesStat) { + tweetEngagedUsersStore + .get(tweetId).flatMap { + _.map { tweetRecentEngagedUsers => + val consumerSeedSet = + tweetRecentEngagedUsers.recentEngagedUsers + .map { _.userId }.take(query.maxConsumerSeedsNum) + val consumersBasedRelatedTweetRequest = + ConsumersBasedRelatedTweetRequest( + consumerSeedSet = consumerSeedSet, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + excludeTweetIds = Some(Seq(tweetId)), + minScore = Some(query.consumersBasedMinScore), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours) + ) + + toTweetWithScore(userTweetGraphService + .consumersBasedRelatedTweets(consumersBasedRelatedTweetRequest).map { Some(_) }) + }.getOrElse(Future.value(None)) + } + } + } + +} + +object TweetBasedUserTweetGraphSimilarityEngine { + + def toSimilarityEngineInfo(score: Double): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.TweetBasedUserTweetGraph, + modelId = None, + score = Some(score)) + } + + private val oldTweetCap: Duration = Duration(48, HOURS) + + private def toTweetWithScore( + relatedTweetResponseFut: Future[Option[RelatedTweetResponse]] + ): Future[Option[Seq[TweetWithScore]]] = { + relatedTweetResponseFut.map { relatedTweetResponseOpt => + relatedTweetResponseOpt.map { relatedTweetResponse => + val candidates = + relatedTweetResponse.tweets.map(tweet => TweetWithScore(tweet.tweetId, tweet.score)) + candidates + } + } + } + + private def isOldTweet(tweetId: TweetId): Boolean = { + SnowflakeId + .timeFromIdOpt(tweetId).forall { tweetTime => tweetTime < Time.now - oldTweetCap } + // If there's no snowflake timestamp, we have no idea when this tweet happened. + } + + case class Query( + sourceId: InternalId, + maxResults: Int, + minCooccurrence: Int, + tweetBasedMinScore: Double, + consumersBasedMinScore: Double, + maxTweetAgeInHours: Int, + maxConsumerSeedsNum: Int, + enableCoverageExpansionOldTweet: Boolean, + enableCoverageExpansionAllTweet: Boolean, + ) + + def fromParams( + sourceId: InternalId, + params: configapi.Params, + ): EngineQuery[Query] = { + EngineQuery( + Query( + sourceId = sourceId, + maxResults = params(GlobalParams.MaxCandidateNumPerSourceKeyParam), + minCooccurrence = params(TweetBasedUserTweetGraphParams.MinCoOccurrenceParam), + tweetBasedMinScore = params(TweetBasedUserTweetGraphParams.TweetBasedMinScoreParam), + consumersBasedMinScore = params(TweetBasedUserTweetGraphParams.ConsumersBasedMinScoreParam), + maxTweetAgeInHours = params(GlobalParams.MaxTweetAgeHoursParam).inHours, + maxConsumerSeedsNum = params(TweetBasedUserTweetGraphParams.MaxConsumerSeedsNumParam), + enableCoverageExpansionOldTweet = + params(TweetBasedUserTweetGraphParams.EnableCoverageExpansionOldTweetParam), + enableCoverageExpansionAllTweet = + params(TweetBasedUserTweetGraphParams.EnableCoverageExpansionAllTweetParam), + ), + params + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserVideoGraphSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserVideoGraphSimilarityEngine.scala new file mode 100644 index 000000000..6190cd4fb --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TweetBasedUserVideoGraphSimilarityEngine.scala @@ -0,0 +1,184 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.TweetBasedUserVideoGraphParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.recos.user_video_graph.thriftscala.RelatedTweetResponse +import com.twitter.recos.user_video_graph.thriftscala.ConsumersBasedRelatedTweetRequest +import com.twitter.recos.user_video_graph.thriftscala.TweetBasedRelatedTweetRequest +import com.twitter.recos.user_video_graph.thriftscala.UserVideoGraph +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.timelines.configapi +import com.twitter.twistly.thriftscala.TweetRecentEngagedUsers +import com.twitter.util.Duration +import javax.inject.Singleton +import com.twitter.util.Future +import com.twitter.util.Time +import scala.concurrent.duration.HOURS + +/** + * This store looks for similar tweets from UserVideoGraph for a Source TweetId + * For a query tweet,User Video Graph (UVG), + * lets us find out which other video tweets share a lot of the same engagers with the query tweet + */ +@Singleton +case class TweetBasedUserVideoGraphSimilarityEngine( + userVideoGraphService: UserVideoGraph.MethodPerEndpoint, + tweetEngagedUsersStore: ReadableStore[TweetId, TweetRecentEngagedUsers], + statsReceiver: StatsReceiver) + extends ReadableStore[ + TweetBasedUserVideoGraphSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + import TweetBasedUserVideoGraphSimilarityEngine._ + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val fetchCandidatesStat = stats.scope("fetchCandidates") + private val fetchCoverageExpansionCandidatesStat = stats.scope("fetchCoverageExpansionCandidates") + + override def get( + query: TweetBasedUserVideoGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + + query.sourceId match { + case InternalId.TweetId(tweetId) if query.enableCoverageExpansionAllTweet => + getCoverageExpansionCandidates(tweetId, query) + + case InternalId.TweetId(tweetId) if query.enableCoverageExpansionOldTweet => // For Home + if (isOldTweet(tweetId)) getCoverageExpansionCandidates(tweetId, query) + else getCandidates(tweetId, query) + + case InternalId.TweetId(tweetId) => getCandidates(tweetId, query) + case _ => + Future.value(None) + } + } + + private def getCandidates( + tweetId: TweetId, + query: TweetBasedUserVideoGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + StatsUtil.trackOptionItemsStats(fetchCandidatesStat) { + val tweetBasedRelatedTweetRequest = { + TweetBasedRelatedTweetRequest( + tweetId, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + excludeTweetIds = Some(Seq(tweetId)), + minScore = Some(query.tweetBasedMinScore), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours) + ) + } + toTweetWithScore( + userVideoGraphService.tweetBasedRelatedTweets(tweetBasedRelatedTweetRequest).map { + Some(_) + }) + } + } + + private def getCoverageExpansionCandidates( + tweetId: TweetId, + query: TweetBasedUserVideoGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + StatsUtil + .trackOptionItemsStats(fetchCoverageExpansionCandidatesStat) { + tweetEngagedUsersStore + .get(tweetId).flatMap { + _.map { tweetRecentEngagedUsers => + val consumerSeedSet = + tweetRecentEngagedUsers.recentEngagedUsers + .map { + _.userId + }.take(query.maxConsumerSeedsNum) + val consumersBasedRelatedTweetRequest = + ConsumersBasedRelatedTweetRequest( + consumerSeedSet = consumerSeedSet, + maxResults = Some(query.maxResults), + minCooccurrence = Some(query.minCooccurrence), + excludeTweetIds = Some(Seq(tweetId)), + minScore = Some(query.consumersBasedMinScore), + maxTweetAgeInHours = Some(query.maxTweetAgeInHours) + ) + + toTweetWithScore(userVideoGraphService + .consumersBasedRelatedTweets(consumersBasedRelatedTweetRequest).map { + Some(_) + }) + }.getOrElse(Future.value(None)) + } + } + } + +} + +object TweetBasedUserVideoGraphSimilarityEngine { + + private val oldTweetCap: Duration = Duration(24, HOURS) + + def toSimilarityEngineInfo(score: Double): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.TweetBasedUserVideoGraph, + modelId = None, + score = Some(score)) + } + + private def toTweetWithScore( + relatedTweetResponseFut: Future[Option[RelatedTweetResponse]] + ): Future[Option[Seq[TweetWithScore]]] = { + relatedTweetResponseFut.map { relatedTweetResponseOpt => + relatedTweetResponseOpt.map { relatedTweetResponse => + val candidates = + relatedTweetResponse.tweets.map(tweet => TweetWithScore(tweet.tweetId, tweet.score)) + candidates + } + } + } + + private def isOldTweet(tweetId: TweetId): Boolean = { + SnowflakeId + .timeFromIdOpt(tweetId).forall { tweetTime => tweetTime < Time.now - oldTweetCap } + // If there's no snowflake timestamp, we have no idea when this tweet happened. + } + + case class Query( + sourceId: InternalId, + maxResults: Int, + minCooccurrence: Int, + tweetBasedMinScore: Double, + consumersBasedMinScore: Double, + maxTweetAgeInHours: Int, + maxConsumerSeedsNum: Int, + enableCoverageExpansionOldTweet: Boolean, + enableCoverageExpansionAllTweet: Boolean) + + def fromParams( + sourceId: InternalId, + params: configapi.Params, + ): EngineQuery[Query] = { + EngineQuery( + Query( + sourceId = sourceId, + maxResults = params(GlobalParams.MaxCandidateNumPerSourceKeyParam), + minCooccurrence = params(TweetBasedUserVideoGraphParams.MinCoOccurrenceParam), + tweetBasedMinScore = params(TweetBasedUserVideoGraphParams.TweetBasedMinScoreParam), + consumersBasedMinScore = params(TweetBasedUserVideoGraphParams.ConsumersBasedMinScoreParam), + maxTweetAgeInHours = params(GlobalParams.MaxTweetAgeHoursParam).inHours, + maxConsumerSeedsNum = params(TweetBasedUserVideoGraphParams.MaxConsumerSeedsNumParam), + enableCoverageExpansionOldTweet = + params(TweetBasedUserVideoGraphParams.EnableCoverageExpansionOldTweetParam), + enableCoverageExpansionAllTweet = + params(TweetBasedUserVideoGraphParams.EnableCoverageExpansionAllTweetParam) + ), + params + ) + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TwhinCollabFilterSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TwhinCollabFilterSimilarityEngine.scala new file mode 100644 index 000000000..eccab6aa3 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/TwhinCollabFilterSimilarityEngine.scala @@ -0,0 +1,72 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.cr_mixer.model.TweetWithScore +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Singleton + +@Singleton +case class TwhinCollabFilterSimilarityEngine( + twhinCandidatesStratoStore: ReadableStore[Long, Seq[TweetId]], + statsReceiver: StatsReceiver) + extends ReadableStore[ + TwhinCollabFilterSimilarityEngine.Query, + Seq[TweetWithScore] + ] { + + import TwhinCollabFilterSimilarityEngine._ + override def get( + query: TwhinCollabFilterSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScore]]] = { + + query.sourceId match { + case InternalId.UserId(userId) => + twhinCandidatesStratoStore.get(userId).map { + _.map { + _.map { tweetId => TweetWithScore(tweetId, defaultScore) } + } + } + case _ => + Future.None + } + } +} + +object TwhinCollabFilterSimilarityEngine { + + val defaultScore: Double = 1.0 + + case class TwhinCollabFilterView(clusterVersion: String) + + case class Query( + sourceId: InternalId, + ) + + def toSimilarityEngineInfo( + query: LookupEngineQuery[Query], + score: Double + ): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.TwhinCollabFilter, + modelId = Some(query.lookupKey), + score = Some(score)) + } + + def fromParams( + sourceId: InternalId, + modelId: String, + params: configapi.Params, + ): LookupEngineQuery[Query] = { + LookupEngineQuery( + Query(sourceId = sourceId), + modelId, + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/UserTweetEntityGraphSimilarityEngine.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/UserTweetEntityGraphSimilarityEngine.scala new file mode 100644 index 000000000..9c61b3d1c --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/similarity_engine/UserTweetEntityGraphSimilarityEngine.scala @@ -0,0 +1,110 @@ +package com.twitter.cr_mixer.similarity_engine + +import com.twitter.recos.recos_common.thriftscala.SocialProofType +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.TweetWithScoreAndSocialProof +import com.twitter.cr_mixer.param.UtegTweetGlobalParams +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.recos.user_tweet_entity_graph.thriftscala.TweetEntityDisplayLocation +import com.twitter.recos.user_tweet_entity_graph.thriftscala.UserTweetEntityGraph +import com.twitter.recos.user_tweet_entity_graph.thriftscala.RecommendTweetEntityRequest +import com.twitter.recos.user_tweet_entity_graph.thriftscala.RecommendationType +import com.twitter.recos.user_tweet_entity_graph.thriftscala.UserTweetEntityRecommendationUnion.TweetRec +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.configapi +import com.twitter.util.Duration +import com.twitter.util.Future +import javax.inject.Singleton + +@Singleton +case class UserTweetEntityGraphSimilarityEngine( + userTweetEntityGraph: UserTweetEntityGraph.MethodPerEndpoint, + statsReceiver: StatsReceiver) + extends ReadableStore[ + UserTweetEntityGraphSimilarityEngine.Query, + Seq[TweetWithScoreAndSocialProof] + ] { + + override def get( + query: UserTweetEntityGraphSimilarityEngine.Query + ): Future[Option[Seq[TweetWithScoreAndSocialProof]]] = { + val recommendTweetEntityRequest = + RecommendTweetEntityRequest( + requesterId = query.userId, + displayLocation = TweetEntityDisplayLocation.HomeTimeline, + recommendationTypes = Seq(RecommendationType.Tweet), + seedsWithWeights = query.seedsWithWeights, + maxResultsByType = Some(Map(RecommendationType.Tweet -> query.maxUtegCandidates)), + maxTweetAgeInMillis = Some(query.maxTweetAge.inMilliseconds), + excludedTweetIds = query.excludedTweetIds, + maxUserSocialProofSize = Some(UserTweetEntityGraphSimilarityEngine.MaxUserSocialProofSize), + maxTweetSocialProofSize = + Some(UserTweetEntityGraphSimilarityEngine.MaxTweetSocialProofSize), + minUserSocialProofSizes = Some(Map(RecommendationType.Tweet -> 1)), + tweetTypes = None, + socialProofTypes = query.socialProofTypes, + socialProofTypeUnions = None, + tweetAuthors = None, + maxEngagementAgeInMillis = None, + excludedTweetAuthors = None, + ) + + userTweetEntityGraph + .recommendTweets(recommendTweetEntityRequest) + .map { recommendTweetsResponse => + val candidates = recommendTweetsResponse.recommendations.flatMap { + case TweetRec(recommendation) => + Some( + TweetWithScoreAndSocialProof( + recommendation.tweetId, + recommendation.score, + recommendation.socialProofByType.toMap)) + case _ => None + } + Some(candidates) + } + } +} + +object UserTweetEntityGraphSimilarityEngine { + + private val MaxUserSocialProofSize = 10 + private val MaxTweetSocialProofSize = 10 + + def toSimilarityEngineInfo(score: Double): SimilarityEngineInfo = { + SimilarityEngineInfo( + similarityEngineType = SimilarityEngineType.Uteg, + modelId = None, + score = Some(score)) + } + + case class Query( + userId: UserId, + seedsWithWeights: Map[UserId, Double], + excludedTweetIds: Option[Seq[Long]] = None, + maxUtegCandidates: Int, + maxTweetAge: Duration, + socialProofTypes: Option[Seq[SocialProofType]]) + + def fromParams( + userId: UserId, + seedsWithWeights: Map[UserId, Double], + excludedTweetIds: Option[Seq[TweetId]] = None, + params: configapi.Params, + ): EngineQuery[Query] = { + EngineQuery( + Query( + userId = userId, + seedsWithWeights = seedsWithWeights, + excludedTweetIds = excludedTweetIds, + maxUtegCandidates = params(UtegTweetGlobalParams.MaxUtegCandidatesToRequestParam), + maxTweetAge = params(UtegTweetGlobalParams.CandidateRefreshSinceTimeOffsetHoursParam), + socialProofTypes = Some(Seq(SocialProofType.Favorite)) + ), + params + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/BUILD new file mode 100644 index 000000000..37b0a7585 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/BUILD @@ -0,0 +1,32 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/src/jvm/com/twitter/storehaus:core", + "configapi/configapi-core", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param/decider", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "decider/src/main/scala", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "frigate/frigate-common:base", + "frigate/frigate-common:util", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/base", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/candidate", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/hermit/stp:hermit-stp-scala", + "src/thrift/com/twitter/onboarding/relevance/coldstart_lookalike:coldstartlookalike-thrift-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + "user-signal-service/thrift/src/main/thrift:thrift-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsSourceGraphFetcher.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsSourceGraphFetcher.scala new file mode 100644 index 000000000..16162c67d --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsSourceGraphFetcher.scala @@ -0,0 +1,54 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.GraphSourceInfo +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.param.FrsParams +import com.twitter.cr_mixer.source_signal.FrsStore.FrsQueryResult +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/*** + * This store fetches user recommendations from FRS (go/frs) for a given userId + */ +@Singleton +case class FrsSourceGraphFetcher @Inject() ( + @Named(ModuleNames.FrsStore) frsStore: ReadableStore[FrsStore.Query, Seq[FrsQueryResult]], + override val timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver) + extends SourceGraphFetcher { + + override protected val stats: StatsReceiver = globalStats.scope(identifier) + override protected val graphSourceType: SourceType = SourceType.FollowRecommendation + + override def isEnabled(query: FetcherQuery): Boolean = { + query.params(FrsParams.EnableSourceGraphParam) + } + + override def fetchAndProcess( + query: FetcherQuery, + ): Future[Option[GraphSourceInfo]] = { + + val rawSignals = trackPerItemStats(query)( + frsStore + .get( + FrsStore + .Query(query.userId, query.params(FrsParams.MaxConsumerSeedsNumParam))).map { + _.map { + _.map { v => (v.userId, v.score) } + } + } + ) + rawSignals.map { + _.map { userWithScores => + convertGraphSourceInfo(userWithScores) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsSourceSignalFetcher.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsSourceSignalFetcher.scala new file mode 100644 index 000000000..4e9069376 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsSourceSignalFetcher.scala @@ -0,0 +1,65 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.param.FrsParams +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.source_signal.FrsStore.FrsQueryResult +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Singleton +import javax.inject.Inject +import javax.inject.Named + +@Singleton +case class FrsSourceSignalFetcher @Inject() ( + @Named(ModuleNames.FrsStore) frsStore: ReadableStore[FrsStore.Query, Seq[FrsQueryResult]], + override val timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver) + extends SourceSignalFetcher { + + override protected val stats: StatsReceiver = globalStats.scope(identifier) + override type SignalConvertType = UserId + + override def isEnabled(query: FetcherQuery): Boolean = { + query.params(FrsParams.EnableSourceParam) + } + + override def fetchAndProcess(query: FetcherQuery): Future[Option[Seq[SourceInfo]]] = { + // Fetch raw signals + val rawSignals = frsStore + .get(FrsStore.Query(query.userId, query.params(GlobalParams.UnifiedMaxSourceKeyNum))) + .map { + _.map { + _.map { + _.userId + } + } + } + // Process signals + rawSignals.map { + _.map { frsUsers => + convertSourceInfo(SourceType.FollowRecommendation, frsUsers) + } + } + } + + override def convertSourceInfo( + sourceType: SourceType, + signals: Seq[SignalConvertType] + ): Seq[SourceInfo] = { + signals.map { signal => + SourceInfo( + sourceType = sourceType, + internalId = InternalId.UserId(signal), + sourceEventTime = None + ) + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsStore.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsStore.scala new file mode 100644 index 000000000..0221bc318 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/FrsStore.scala @@ -0,0 +1,81 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.param.decider.CrMixerDecider +import com.twitter.cr_mixer.param.decider.DeciderConstants +import com.twitter.cr_mixer.source_signal.FrsStore.Query +import com.twitter.cr_mixer.source_signal.FrsStore.FrsQueryResult +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.thriftscala.ClientContext +import com.twitter.follow_recommendations.thriftscala.DisplayLocation +import com.twitter.follow_recommendations.thriftscala.FollowRecommendationsThriftService +import com.twitter.follow_recommendations.thriftscala.Recommendation +import com.twitter.follow_recommendations.thriftscala.RecommendationRequest +import com.twitter.storehaus.ReadableStore +import javax.inject.Singleton +import com.twitter.simclusters_v2.common.UserId +import com.twitter.util.Future + +@Singleton +case class FrsStore( + frsClient: FollowRecommendationsThriftService.MethodPerEndpoint, + statsReceiver: StatsReceiver, + decider: CrMixerDecider) + extends ReadableStore[Query, Seq[FrsQueryResult]] { + + override def get( + query: Query + ): Future[Option[Seq[FrsQueryResult]]] = { + if (decider.isAvailable(DeciderConstants.enableFRSTrafficDeciderKey)) { + val recommendationRequest = + buildFollowRecommendationRequest(query) + + frsClient + .getRecommendations(recommendationRequest).map { recommendationResponse => + Some(recommendationResponse.recommendations.collect { + case recommendation: Recommendation.User => + FrsQueryResult( + recommendation.user.userId, + recommendation.user.scoringDetails + .flatMap(_.score).getOrElse(0.0), + recommendation.user.scoringDetails + .flatMap(_.candidateSourceDetails.flatMap(_.primarySource)), + recommendation.user.scoringDetails + .flatMap(_.candidateSourceDetails.flatMap(_.candidateSourceScores)).map(_.toMap) + ) + }) + } + } else { + Future.None + } + } + + private def buildFollowRecommendationRequest( + query: Query + ): RecommendationRequest = { + RecommendationRequest( + clientContext = ClientContext( + userId = Some(query.userId), + countryCode = query.countryCodeOpt, + languageCode = query.languageCodeOpt), + displayLocation = query.displayLocation, + maxResults = Some(query.maxConsumerSeedsNum), + excludedIds = Some(query.excludedUserIds) + ) + } +} + +object FrsStore { + case class Query( + userId: UserId, + maxConsumerSeedsNum: Int, + displayLocation: DisplayLocation = DisplayLocation.ContentRecommender, + excludedUserIds: Seq[UserId] = Seq.empty, + languageCodeOpt: Option[String] = None, + countryCodeOpt: Option[String] = None) + + case class FrsQueryResult( + userId: UserId, + score: Double, + primarySource: Option[Int], + sourceWithScores: Option[Map[String, Double]]) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/RealGraphInSourceGraphFetcher.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/RealGraphInSourceGraphFetcher.scala new file mode 100644 index 000000000..ac708d0bb --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/RealGraphInSourceGraphFetcher.scala @@ -0,0 +1,55 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.GraphSourceInfo +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.param.RealGraphInParams +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import com.twitter.wtf.candidate.thriftscala.CandidateSeq +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/** + * This store fetch user recommendations from In-Network RealGraph (go/realgraph) for a given userId + */ +@Singleton +case class RealGraphInSourceGraphFetcher @Inject() ( + @Named(ModuleNames.RealGraphInStore) realGraphStoreMh: ReadableStore[UserId, CandidateSeq], + override val timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver) + extends SourceGraphFetcher { + + override protected val stats: StatsReceiver = globalStats.scope(identifier) + override protected val graphSourceType: SourceType = SourceType.RealGraphIn + + override def isEnabled(query: FetcherQuery): Boolean = { + query.params(RealGraphInParams.EnableSourceGraphParam) + } + + override def fetchAndProcess( + query: FetcherQuery, + ): Future[Option[GraphSourceInfo]] = { + val rawSignals = trackPerItemStats(query)( + realGraphStoreMh.get(query.userId).map { + _.map { candidateSeq => + candidateSeq.candidates + .map { candidate => + // Bundle the userId with its score + (candidate.userId, candidate.score) + } + } + } + ) + rawSignals.map { + _.map { userWithScores => + convertGraphSourceInfo(userWithScores) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/RealGraphOonSourceGraphFetcher.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/RealGraphOonSourceGraphFetcher.scala new file mode 100644 index 000000000..e03d140a4 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/RealGraphOonSourceGraphFetcher.scala @@ -0,0 +1,55 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.GraphSourceInfo +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.param.RealGraphOonParams +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import com.twitter.wtf.candidate.thriftscala.CandidateSeq +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/** + * This store fetch user recommendations from RealGraphOON (go/realgraph) for a given userId + */ +@Singleton +case class RealGraphOonSourceGraphFetcher @Inject() ( + @Named(ModuleNames.RealGraphOonStore) realGraphOonStore: ReadableStore[UserId, CandidateSeq], + override val timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver) + extends SourceGraphFetcher { + + override protected val stats: StatsReceiver = globalStats.scope(identifier) + override protected val graphSourceType: SourceType = SourceType.RealGraphOon + + override def isEnabled(query: FetcherQuery): Boolean = { + query.params(RealGraphOonParams.EnableSourceGraphParam) + } + + override def fetchAndProcess( + query: FetcherQuery, + ): Future[Option[GraphSourceInfo]] = { + val rawSignals = trackPerItemStats(query)( + realGraphOonStore.get(query.userId).map { + _.map { candidateSeq => + candidateSeq.candidates + .map { candidate => + // Bundle the userId with its score + (candidate.userId, candidate.score) + }.take(query.params(RealGraphOonParams.MaxConsumerSeedsNumParam)) + } + } + ) + rawSignals.map { + _.map { userWithScores => + convertGraphSourceInfo(userWithScores) + } + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceFetcher.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceFetcher.scala new file mode 100644 index 000000000..4fa4dfb93 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceFetcher.scala @@ -0,0 +1,101 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.simclusters_v2.common.UserId +import com.twitter.timelines.configapi.Params +import com.twitter.cr_mixer.thriftscala.{Product => TProduct} +import com.twitter.finagle.GlobalRequestTimeoutException +import com.twitter.finagle.mux.ClientDiscardedRequestException +import com.twitter.finagle.mux.ServerApplicationError +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import com.twitter.util.TimeoutException +import org.apache.thrift.TApplicationException +import com.twitter.util.logging.Logging + +/** + * A SourceFetcher is a trait which, given a [[FetcherQuery]], returns [[ResultType]] + * The main purposes of a SourceFetcher is to provide a consistent interface for source fetch + * logic, and provides default functions, including: + * - Identification + * - Observability + * - Timeout settings + * - Exception Handling + */ +trait SourceFetcher[ResultType] extends ReadableStore[FetcherQuery, ResultType] with Logging { + + protected final val timer = com.twitter.finagle.util.DefaultTimer + protected final def identifier: String = this.getClass.getSimpleName + protected def stats: StatsReceiver + protected def timeoutConfig: TimeoutConfig + + /*** + * Use FeatureSwitch to decide if a specific source is enabled. + */ + def isEnabled(query: FetcherQuery): Boolean + + /*** + * This function fetches the raw sources and process them. + * Custom stats tracking can be added depending on the type of ResultType + */ + def fetchAndProcess( + query: FetcherQuery, + ): Future[Option[ResultType]] + + /*** + * Side-effect function to track stats for signal fetching and processing. + */ + def trackStats( + query: FetcherQuery + )( + func: => Future[Option[ResultType]] + ): Future[Option[ResultType]] + + /*** + * This function is called by the top level class to fetch sources. It executes the pipeline to + * fetch raw data, process and transform the sources. Exceptions, Stats, and timeout control are + * handled here. + */ + override def get( + query: FetcherQuery + ): Future[Option[ResultType]] = { + val scopedStats = stats.scope(query.product.originalName) + if (isEnabled(query)) { + scopedStats.counter("gate_enabled").incr() + trackStats(query)(fetchAndProcess(query)) + .raiseWithin(timeoutConfig.signalFetchTimeout)(timer) + .onFailure { e => + scopedStats.scope("exceptions").counter(e.getClass.getSimpleName).incr() + } + .rescue { + case _: TimeoutException | _: GlobalRequestTimeoutException | _: TApplicationException | + _: ClientDiscardedRequestException | + _: ServerApplicationError // TApplicationException inside + => + Future.None + case e => + logger.info(e) + Future.None + } + } else { + scopedStats.counter("gate_disabled").incr() + Future.None + } + } +} + +object SourceFetcher { + + /*** + * Every SourceFetcher all share the same input: FetcherQuery + */ + case class FetcherQuery( + userId: UserId, + product: TProduct, + userState: UserState, + params: Params) + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceGraphFetcher.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceGraphFetcher.scala new file mode 100644 index 000000000..ac33d91e9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceGraphFetcher.scala @@ -0,0 +1,70 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.model.GraphSourceInfo +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.simclusters_v2.common.UserId +import com.twitter.util.Future + +/*** + * A SourceGraphFetcher is a trait that extends from `SourceFetcher` + * and is specialized in tackling User Graph (eg., RealGraphOon, FRS) fetch. + * + * The [[ResultType]] of a SourceGraphFetcher is a `GraphSourceInfo` which contains a userSeedSet. + * When we pass in userId, the underlying store returns one GraphSourceInfo. + */ +trait SourceGraphFetcher extends SourceFetcher[GraphSourceInfo] { + protected final val DefaultSeedScore = 1.0 + protected def graphSourceType: SourceType + + /*** + * RawDataType contains a consumers seed UserId and a score (weight) + */ + protected type RawDataType = (UserId, Double) + + def trackStats( + query: FetcherQuery + )( + func: => Future[Option[GraphSourceInfo]] + ): Future[Option[GraphSourceInfo]] = { + val productScopedStats = stats.scope(query.product.originalName) + val productUserStateScopedStats = productScopedStats.scope(query.userState.toString) + StatsUtil + .trackOptionStats(productScopedStats) { + StatsUtil + .trackOptionStats(productUserStateScopedStats) { + func + } + } + } + + // Track per item stats on the fetched graph results + def trackPerItemStats( + query: FetcherQuery + )( + func: => Future[Option[Seq[RawDataType]]] + ): Future[Option[Seq[RawDataType]]] = { + val productScopedStats = stats.scope(query.product.originalName) + val productUserStateScopedStats = productScopedStats.scope(query.userState.toString) + StatsUtil.trackOptionItemsStats(productScopedStats) { + StatsUtil.trackOptionItemsStats(productUserStateScopedStats) { + func + } + } + } + + /*** + * Convert Seq[RawDataType] into GraphSourceInfo + */ + protected final def convertGraphSourceInfo( + userWithScores: Seq[RawDataType] + ): GraphSourceInfo = { + GraphSourceInfo( + sourceType = graphSourceType, + seedWithScores = userWithScores.map { userWithScore => + userWithScore._1 -> userWithScore._2 + }.toMap + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceInfoRouter.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceInfoRouter.scala new file mode 100644 index 000000000..5942fb8e4 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceInfoRouter.scala @@ -0,0 +1,68 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.cr_mixer.model.GraphSourceInfo +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.cr_mixer.thriftscala.{Product => TProduct} +import com.twitter.simclusters_v2.common.UserId +import com.twitter.timelines.configapi +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class SourceInfoRouter @Inject() ( + ussSourceSignalFetcher: UssSourceSignalFetcher, + frsSourceSignalFetcher: FrsSourceSignalFetcher, + frsSourceGraphFetcher: FrsSourceGraphFetcher, + realGraphOonSourceGraphFetcher: RealGraphOonSourceGraphFetcher, + realGraphInSourceGraphFetcher: RealGraphInSourceGraphFetcher, +) { + + def get( + userId: UserId, + product: TProduct, + userState: UserState, + params: configapi.Params + ): Future[(Set[SourceInfo], Map[String, Option[GraphSourceInfo]])] = { + + val fetcherQuery = FetcherQuery(userId, product, userState, params) + Future.join( + getSourceSignals(fetcherQuery), + getSourceGraphs(fetcherQuery) + ) + } + + private def getSourceSignals( + fetcherQuery: FetcherQuery + ): Future[Set[SourceInfo]] = { + Future + .join( + ussSourceSignalFetcher.get(fetcherQuery), + frsSourceSignalFetcher.get(fetcherQuery)).map { + case (ussSignalsOpt, frsSignalsOpt) => + (ussSignalsOpt.getOrElse(Seq.empty) ++ frsSignalsOpt.getOrElse(Seq.empty)).toSet + } + } + + private def getSourceGraphs( + fetcherQuery: FetcherQuery + ): Future[Map[String, Option[GraphSourceInfo]]] = { + + Future + .join( + frsSourceGraphFetcher.get(fetcherQuery), + realGraphOonSourceGraphFetcher.get(fetcherQuery), + realGraphInSourceGraphFetcher.get(fetcherQuery) + ).map { + case (frsGraphOpt, realGraphOonGraphOpt, realGraphInGraphOpt) => + Map( + SourceType.FollowRecommendation.name -> frsGraphOpt, + SourceType.RealGraphOon.name -> realGraphOonGraphOpt, + SourceType.RealGraphIn.name -> realGraphInGraphOpt, + ) + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceSignalFetcher.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceSignalFetcher.scala new file mode 100644 index 000000000..01d302661 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/SourceSignalFetcher.scala @@ -0,0 +1,45 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.frigate.common.util.StatsUtil +import com.twitter.util.Future + +/*** + * A SourceSignalFetcher is a trait that extends from `SourceFetcher` + * and is specialized in tackling Signals (eg., USS, FRS) fetch. + * Currently, we define Signals as (but not limited to) a set of past engagements that + * the user makes, such as RecentFav, RecentFollow, etc. + * + * The [[ResultType]] of a SourceSignalFetcher is `Seq[SourceInfo]`. When we pass in userId, + * the underlying store returns a list of signals. + */ +trait SourceSignalFetcher extends SourceFetcher[Seq[SourceInfo]] { + + protected type SignalConvertType + + def trackStats( + query: FetcherQuery + )( + func: => Future[Option[Seq[SourceInfo]]] + ): Future[Option[Seq[SourceInfo]]] = { + val productScopedStats = stats.scope(query.product.originalName) + val productUserStateScopedStats = productScopedStats.scope(query.userState.toString) + StatsUtil + .trackOptionItemsStats(productScopedStats) { + StatsUtil + .trackOptionItemsStats(productUserStateScopedStats) { + func + } + } + } + + /*** + * Convert a list of Signals of type [[SignalConvertType]] into SourceInfo + */ + def convertSourceInfo( + sourceType: SourceType, + signals: Seq[SignalConvertType] + ): Seq[SourceInfo] +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/UssSourceSignalFetcher.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/UssSourceSignalFetcher.scala new file mode 100644 index 000000000..dcce3e94e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/UssSourceSignalFetcher.scala @@ -0,0 +1,160 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.config.TimeoutConfig +import com.twitter.cr_mixer.model.ModuleNames +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.cr_mixer.source_signal.SourceFetcher.FetcherQuery +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.storehaus.ReadableStore +import com.twitter.usersignalservice.thriftscala.{Signal => UssSignal} +import com.twitter.usersignalservice.thriftscala.SignalType +import com.twitter.frigate.common.util.StatsUtil.Size +import com.twitter.frigate.common.util.StatsUtil.Success +import com.twitter.frigate.common.util.StatsUtil.Empty +import com.twitter.util.Future +import com.twitter.util.Time +import javax.inject.Singleton +import javax.inject.Inject +import javax.inject.Named + +@Singleton +case class UssSourceSignalFetcher @Inject() ( + @Named(ModuleNames.UssStore) ussStore: ReadableStore[UssStore.Query, Seq[ + (SignalType, Seq[UssSignal]) + ]], + override val timeoutConfig: TimeoutConfig, + globalStats: StatsReceiver) + extends SourceSignalFetcher { + + override protected val stats: StatsReceiver = globalStats.scope(identifier) + override type SignalConvertType = UssSignal + + // always enable USS call. We have fine-grained FS to decider which signal to fetch + override def isEnabled(query: FetcherQuery): Boolean = true + + override def fetchAndProcess( + query: FetcherQuery, + ): Future[Option[Seq[SourceInfo]]] = { + // Fetch raw signals + val rawSignals = ussStore.get(UssStore.Query(query.userId, query.params, query.product)).map { + _.map { + _.map { + case (signalType, signals) => + trackUssSignalStatsPerSignalType(query, signalType, signals) + (signalType, signals) + } + } + } + + /** + * Process signals: + * Transform a Seq of USS Signals with signalType specified to a Seq of SourceInfo + * We do case match to make sure the SignalType can correctly map to a SourceType defined in CrMixer + * and it should be simplified. + */ + rawSignals.map { + _.map { nestedSignal => + val sourceInfoList = nestedSignal.flatMap { + case (signalType, ussSignals) => + signalType match { + case SignalType.TweetFavorite => + convertSourceInfo(sourceType = SourceType.TweetFavorite, signals = ussSignals) + case SignalType.Retweet => + convertSourceInfo(sourceType = SourceType.Retweet, signals = ussSignals) + case SignalType.Reply => + convertSourceInfo(sourceType = SourceType.Reply, signals = ussSignals) + case SignalType.OriginalTweet => + convertSourceInfo(sourceType = SourceType.OriginalTweet, signals = ussSignals) + case SignalType.AccountFollow => + convertSourceInfo(sourceType = SourceType.UserFollow, signals = ussSignals) + case SignalType.RepeatedProfileVisit180dMinVisit6V1 | + SignalType.RepeatedProfileVisit90dMinVisit6V1 | + SignalType.RepeatedProfileVisit14dMinVisit2V1 => + convertSourceInfo( + sourceType = SourceType.UserRepeatedProfileVisit, + signals = ussSignals) + case SignalType.NotificationOpenAndClickV1 => + convertSourceInfo(sourceType = SourceType.NotificationClick, signals = ussSignals) + case SignalType.TweetShareV1 => + convertSourceInfo(sourceType = SourceType.TweetShare, signals = ussSignals) + case SignalType.RealGraphOon => + convertSourceInfo(sourceType = SourceType.RealGraphOon, signals = ussSignals) + case SignalType.GoodTweetClick | SignalType.GoodTweetClick5s | + SignalType.GoodTweetClick10s | SignalType.GoodTweetClick30s => + convertSourceInfo(sourceType = SourceType.GoodTweetClick, signals = ussSignals) + case SignalType.VideoView90dPlayback50V1 => + convertSourceInfo( + sourceType = SourceType.VideoTweetPlayback50, + signals = ussSignals) + case SignalType.VideoView90dQualityV1 => + convertSourceInfo( + sourceType = SourceType.VideoTweetQualityView, + signals = ussSignals) + case SignalType.GoodProfileClick | SignalType.GoodProfileClick20s | + SignalType.GoodProfileClick30s => + convertSourceInfo(sourceType = SourceType.GoodProfileClick, signals = ussSignals) + // negative signals + case SignalType.AccountBlock => + convertSourceInfo(sourceType = SourceType.AccountBlock, signals = ussSignals) + case SignalType.AccountMute => + convertSourceInfo(sourceType = SourceType.AccountMute, signals = ussSignals) + case SignalType.TweetReport => + convertSourceInfo(sourceType = SourceType.TweetReport, signals = ussSignals) + case SignalType.TweetDontLike => + convertSourceInfo(sourceType = SourceType.TweetDontLike, signals = ussSignals) + // Aggregated Signals + case SignalType.TweetBasedUnifiedEngagementWeightedSignal | + SignalType.TweetBasedUnifiedUniformSignal => + convertSourceInfo(sourceType = SourceType.TweetAggregation, signals = ussSignals) + case SignalType.ProducerBasedUnifiedEngagementWeightedSignal | + SignalType.ProducerBasedUnifiedUniformSignal => + convertSourceInfo(sourceType = SourceType.ProducerAggregation, signals = ussSignals) + + // Default + case _ => + Seq.empty[SourceInfo] + } + } + sourceInfoList + } + } + } + + override def convertSourceInfo( + sourceType: SourceType, + signals: Seq[SignalConvertType] + ): Seq[SourceInfo] = { + signals.map { signal => + SourceInfo( + sourceType = sourceType, + internalId = signal.targetInternalId.getOrElse( + throw new IllegalArgumentException( + s"${sourceType.toString} Signal does not have internalId")), + sourceEventTime = + if (signal.timestamp == 0L) None else Some(Time.fromMilliseconds(signal.timestamp)) + ) + } + } + + private def trackUssSignalStatsPerSignalType( + query: FetcherQuery, + signalType: SignalType, + ussSignals: Seq[UssSignal] + ): Unit = { + val productScopedStats = stats.scope(query.product.originalName) + val productUserStateScopedStats = productScopedStats.scope(query.userState.toString) + val productStats = productScopedStats.scope(signalType.toString) + val productUserStateStats = productUserStateScopedStats.scope(signalType.toString) + + productStats.counter(Success).incr() + productUserStateStats.counter(Success).incr() + val size = ussSignals.size + productStats.stat(Size).add(size) + productUserStateStats.stat(Size).add(size) + if (size == 0) { + productStats.counter(Empty).incr() + productUserStateStats.counter(Empty).incr() + } + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/UssStore.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/UssStore.scala new file mode 100644 index 000000000..02f0287f5 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/source_signal/UssStore.scala @@ -0,0 +1,209 @@ +package com.twitter.cr_mixer.source_signal + +import com.twitter.cr_mixer.param.GlobalParams +import com.twitter.cr_mixer.param.GoodProfileClickParams +import com.twitter.cr_mixer.param.GoodTweetClickParams +import com.twitter.cr_mixer.param.RealGraphOonParams +import com.twitter.cr_mixer.param.RecentFollowsParams +import com.twitter.cr_mixer.param.RecentNegativeSignalParams +import com.twitter.cr_mixer.param.RecentNotificationsParams +import com.twitter.cr_mixer.param.RecentOriginalTweetsParams +import com.twitter.cr_mixer.param.RecentReplyTweetsParams +import com.twitter.cr_mixer.param.RecentRetweetsParams +import com.twitter.cr_mixer.param.RecentTweetFavoritesParams +import com.twitter.cr_mixer.param.RepeatedProfileVisitsParams +import com.twitter.cr_mixer.param.TweetSharesParams +import com.twitter.cr_mixer.param.UnifiedUSSSignalParams +import com.twitter.cr_mixer.param.VideoViewTweetsParams +import com.twitter.cr_mixer.source_signal.UssStore.Query +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.simclusters_v2.common.UserId +import com.twitter.storehaus.ReadableStore +import com.twitter.usersignalservice.thriftscala.{Signal => UssSignal} +import com.twitter.usersignalservice.thriftscala.SignalType +import javax.inject.Singleton +import com.twitter.timelines.configapi +import com.twitter.timelines.configapi.Params +import com.twitter.usersignalservice.thriftscala.BatchSignalRequest +import com.twitter.usersignalservice.thriftscala.BatchSignalResponse +import com.twitter.usersignalservice.thriftscala.SignalRequest +import com.twitter.util.Future +import com.twitter.cr_mixer.thriftscala.Product +import com.twitter.usersignalservice.thriftscala.ClientIdentifier + +@Singleton +case class UssStore( + stratoStore: ReadableStore[BatchSignalRequest, BatchSignalResponse], + statsReceiver: StatsReceiver) + extends ReadableStore[Query, Seq[(SignalType, Seq[UssSignal])]] { + + import com.twitter.cr_mixer.source_signal.UssStore._ + + override def get(query: Query): Future[Option[Seq[(SignalType, Seq[UssSignal])]]] = { + val ussClientIdentifier = query.product match { + case Product.Home => + ClientIdentifier.CrMixerHome + case Product.Notifications => + ClientIdentifier.CrMixerNotifications + case Product.Email => + ClientIdentifier.CrMixerEmail + case _ => + ClientIdentifier.Unknown + } + val batchSignalRequest = + BatchSignalRequest( + query.userId, + buildUserSignalServiceRequests(query.params), + Some(ussClientIdentifier)) + + stratoStore + .get(batchSignalRequest) + .map { + _.map { batchSignalResponse => + batchSignalResponse.signalResponse.toSeq.map { + case (signalType, ussSignals) => + (signalType, ussSignals) + } + } + } + } + + private def buildUserSignalServiceRequests( + param: Params, + ): Seq[SignalRequest] = { + val unifiedMaxSourceKeyNum = param(GlobalParams.UnifiedMaxSourceKeyNum) + val goodTweetClickMaxSignalNum = param(GoodTweetClickParams.MaxSignalNumParam) + val aggrTweetMaxSourceKeyNum = param(UnifiedUSSSignalParams.UnifiedTweetSourceNumberParam) + val aggrProducerMaxSourceKeyNum = param(UnifiedUSSSignalParams.UnifiedProducerSourceNumberParam) + + val maybeRecentTweetFavorite = + if (param(RecentTweetFavoritesParams.EnableSourceParam)) + Some(SignalRequest(Some(unifiedMaxSourceKeyNum), SignalType.TweetFavorite)) + else None + val maybeRecentRetweet = + if (param(RecentRetweetsParams.EnableSourceParam)) + Some(SignalRequest(Some(unifiedMaxSourceKeyNum), SignalType.Retweet)) + else None + val maybeRecentReply = + if (param(RecentReplyTweetsParams.EnableSourceParam)) + Some(SignalRequest(Some(unifiedMaxSourceKeyNum), SignalType.Reply)) + else None + val maybeRecentOriginalTweet = + if (param(RecentOriginalTweetsParams.EnableSourceParam)) + Some(SignalRequest(Some(unifiedMaxSourceKeyNum), SignalType.OriginalTweet)) + else None + val maybeRecentFollow = + if (param(RecentFollowsParams.EnableSourceParam)) + Some(SignalRequest(Some(unifiedMaxSourceKeyNum), SignalType.AccountFollow)) + else None + val maybeRepeatedProfileVisits = + if (param(RepeatedProfileVisitsParams.EnableSourceParam)) + Some( + SignalRequest( + Some(unifiedMaxSourceKeyNum), + param(RepeatedProfileVisitsParams.ProfileMinVisitType).signalType)) + else None + val maybeRecentNotifications = + if (param(RecentNotificationsParams.EnableSourceParam)) + Some(SignalRequest(Some(unifiedMaxSourceKeyNum), SignalType.NotificationOpenAndClickV1)) + else None + val maybeTweetShares = + if (param(TweetSharesParams.EnableSourceParam)) { + Some(SignalRequest(Some(unifiedMaxSourceKeyNum), SignalType.TweetShareV1)) + } else None + val maybeRealGraphOon = + if (param(RealGraphOonParams.EnableSourceParam)) { + Some(SignalRequest(Some(unifiedMaxSourceKeyNum), SignalType.RealGraphOon)) + } else None + + val maybeGoodTweetClick = + if (param(GoodTweetClickParams.EnableSourceParam)) + Some( + SignalRequest( + Some(goodTweetClickMaxSignalNum), + param(GoodTweetClickParams.ClickMinDwellTimeType).signalType)) + else None + val maybeVideoViewTweets = + if (param(VideoViewTweetsParams.EnableSourceParam)) { + Some( + SignalRequest( + Some(unifiedMaxSourceKeyNum), + param(VideoViewTweetsParams.VideoViewTweetTypeParam).signalType)) + } else None + val maybeGoodProfileClick = + if (param(GoodProfileClickParams.EnableSourceParam)) + Some( + SignalRequest( + Some(unifiedMaxSourceKeyNum), + param(GoodProfileClickParams.ClickMinDwellTimeType).signalType)) + else None + val maybeAggTweetSignal = + if (param(UnifiedUSSSignalParams.EnableTweetAggSourceParam)) + Some( + SignalRequest( + Some(aggrTweetMaxSourceKeyNum), + param(UnifiedUSSSignalParams.TweetAggTypeParam).signalType + ) + ) + else None + val maybeAggProducerSignal = + if (param(UnifiedUSSSignalParams.EnableProducerAggSourceParam)) + Some( + SignalRequest( + Some(aggrProducerMaxSourceKeyNum), + param(UnifiedUSSSignalParams.ProducerAggTypeParam).signalType + ) + ) + else None + + // negative signals + val maybeNegativeSignals = if (param(RecentNegativeSignalParams.EnableSourceParam)) { + EnabledNegativeSignalTypes + .map(negativeSignal => SignalRequest(Some(unifiedMaxSourceKeyNum), negativeSignal)).toSeq + } else Seq.empty + + val allPositiveSignals = + if (param(UnifiedUSSSignalParams.ReplaceIndividualUSSSourcesParam)) + Seq( + maybeRecentOriginalTweet, + maybeRecentNotifications, + maybeRealGraphOon, + maybeGoodTweetClick, + maybeGoodProfileClick, + maybeAggProducerSignal, + maybeAggTweetSignal, + ) + else + Seq( + maybeRecentTweetFavorite, + maybeRecentRetweet, + maybeRecentReply, + maybeRecentOriginalTweet, + maybeRecentFollow, + maybeRepeatedProfileVisits, + maybeRecentNotifications, + maybeTweetShares, + maybeRealGraphOon, + maybeGoodTweetClick, + maybeVideoViewTweets, + maybeGoodProfileClick, + maybeAggProducerSignal, + maybeAggTweetSignal, + ) + allPositiveSignals.flatten ++ maybeNegativeSignals + } + +} + +object UssStore { + case class Query( + userId: UserId, + params: configapi.Params, + product: Product) + + val EnabledNegativeSourceTypes: Set[SourceType] = + Set(SourceType.AccountBlock, SourceType.AccountMute) + private val EnabledNegativeSignalTypes: Set[SignalType] = + Set(SignalType.AccountBlock, SignalType.AccountMute) +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/BUILD b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/BUILD new file mode 100644 index 000000000..46c71420a --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/BUILD @@ -0,0 +1,29 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/org/lz4:lz4-java", + "3rdparty/src/jvm/com/twitter/storehaus:core", + "configapi/configapi-core", + "content-recommender/thrift/src/main/thrift:thrift-scala", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/config", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/model", + "cr-mixer/server/src/main/scala/com/twitter/cr_mixer/param", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "finatra/inject/inject-core/src/main/scala", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/util:stats_util", + "relevance-platform/src/main/scala/com/twitter/relevance_platform/common/stats", + "src/java/com/twitter/search/common/schema/base", + "src/java/com/twitter/search/common/schema/earlybird", + "src/java/com/twitter/search/queryparser/query:core-query-nodes", + "src/java/com/twitter/search/queryparser/query/search:search-query-nodes", + "src/scala/com/twitter/simclusters_v2/common", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/search/common:ranking-scala", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift-scala", + ], +) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/CandidateGenerationKeyUtil.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/CandidateGenerationKeyUtil.scala new file mode 100644 index 000000000..fd698f6d9 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/CandidateGenerationKeyUtil.scala @@ -0,0 +1,39 @@ +package com.twitter.cr_mixer.util + +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.thriftscala.CandidateGenerationKey +import com.twitter.cr_mixer.thriftscala.SimilarityEngine +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.simclusters_v2.common.UserId +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.util.Time + +object CandidateGenerationKeyUtil { + private val PlaceholderUserId = 0L // this default value will not be used + + private val DefaultSourceInfo: SourceInfo = SourceInfo( + sourceType = SourceType.RequestUserId, + sourceEventTime = None, + internalId = InternalId.UserId(PlaceholderUserId) + ) + + def toThrift( + candidateGenerationInfo: CandidateGenerationInfo, + requestUserId: UserId + ): CandidateGenerationKey = { + CandidateGenerationKey( + sourceType = candidateGenerationInfo.sourceInfoOpt.getOrElse(DefaultSourceInfo).sourceType, + sourceEventTime = candidateGenerationInfo.sourceInfoOpt + .getOrElse(DefaultSourceInfo).sourceEventTime.getOrElse(Time.fromMilliseconds(0L)).inMillis, + id = candidateGenerationInfo.sourceInfoOpt + .map(_.internalId).getOrElse(InternalId.UserId(requestUserId)), + modelId = candidateGenerationInfo.similarityEngineInfo.modelId.getOrElse(""), + similarityEngineType = + Some(candidateGenerationInfo.similarityEngineInfo.similarityEngineType), + contributingSimilarityEngine = + Some(candidateGenerationInfo.contributingSimilarityEngines.map(se => + SimilarityEngine(se.similarityEngineType, se.modelId, se.score))) + ) + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/CountWeightedInterleaveUtil.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/CountWeightedInterleaveUtil.scala new file mode 100644 index 000000000..bfae90057 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/CountWeightedInterleaveUtil.scala @@ -0,0 +1,180 @@ +package com.twitter.cr_mixer.util + +import com.twitter.cr_mixer.model.Candidate +import com.twitter.cr_mixer.model.InitialCandidate +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.param.BlenderParams.BlendGroupingMethodEnum +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.simclusters_v2.thriftscala.InternalId + +object CountWeightedInterleaveUtil { + + /** + * Grouping key for interleaving candidates + * + * @param sourceInfoOpt optional SourceInfo, containing the source information + * @param similarityEngineTypeOpt optional SimilarityEngineType, containing similarity engine + * information + * @param modelIdOpt optional modelId, containing the model ID + * @param authorIdOpt optional authorId, containing the tweet author ID + * @param groupIdOpt optional groupId, containing the ID corresponding to the blending group + */ + case class GroupingKey( + sourceInfoOpt: Option[SourceInfo], + similarityEngineTypeOpt: Option[SimilarityEngineType], + modelIdOpt: Option[String], + authorIdOpt: Option[Long], + groupIdOpt: Option[Int]) + + /** + * Converts candidates to grouping key based upon the feature that we interleave with. + */ + def toGroupingKey[CandidateType <: Candidate]( + candidate: CandidateType, + interleaveFeature: Option[BlendGroupingMethodEnum.Value], + groupId: Option[Int], + ): GroupingKey = { + val grouping: GroupingKey = candidate match { + case c: RankedCandidate => + interleaveFeature.getOrElse(BlendGroupingMethodEnum.SourceKeyDefault) match { + case BlendGroupingMethodEnum.SourceKeyDefault => + GroupingKey( + sourceInfoOpt = c.reasonChosen.sourceInfoOpt, + similarityEngineTypeOpt = + Some(c.reasonChosen.similarityEngineInfo.similarityEngineType), + modelIdOpt = c.reasonChosen.similarityEngineInfo.modelId, + authorIdOpt = None, + groupIdOpt = groupId + ) + // Some candidate sources don't have a sourceType, so it defaults to similarityEngine + case BlendGroupingMethodEnum.SourceTypeSimilarityEngine => + val sourceInfoOpt = c.reasonChosen.sourceInfoOpt.map(_.sourceType).map { sourceType => + SourceInfo( + sourceType = sourceType, + internalId = InternalId.UserId(0), + sourceEventTime = None) + } + GroupingKey( + sourceInfoOpt = sourceInfoOpt, + similarityEngineTypeOpt = + Some(c.reasonChosen.similarityEngineInfo.similarityEngineType), + modelIdOpt = c.reasonChosen.similarityEngineInfo.modelId, + authorIdOpt = None, + groupIdOpt = groupId + ) + case BlendGroupingMethodEnum.AuthorId => + GroupingKey( + sourceInfoOpt = None, + similarityEngineTypeOpt = None, + modelIdOpt = None, + authorIdOpt = Some(c.tweetInfo.authorId), + groupIdOpt = groupId + ) + case _ => + throw new UnsupportedOperationException( + s"Unsupported interleave feature: $interleaveFeature") + } + case _ => + GroupingKey( + sourceInfoOpt = None, + similarityEngineTypeOpt = None, + modelIdOpt = None, + authorIdOpt = None, + groupIdOpt = groupId + ) + } + grouping + } + + /** + * Rather than manually calculating and maintaining the weights to rank with, we instead + * calculate the weights on the fly, based upon the frequencies of the candidates within each + * group. To ensure that diversity of the feature is maintained, we additionally employ a + * 'shrinkage' parameter which enforces more diversity by moving the weights closer to uniformity. + * More details are available at go/weighted-interleave. + * + * @param candidateSeqKeyByFeature candidate to key. + * @param rankerWeightShrinkage value between [0, 1] with 1 being complete uniformity. + * @return Interleaving weights keyed by feature. + */ + private def calculateWeightsKeyByFeature[CandidateType <: Candidate]( + candidateSeqKeyByFeature: Map[GroupingKey, Seq[CandidateType]], + rankerWeightShrinkage: Double + ): Map[GroupingKey, Double] = { + val maxNumberCandidates: Double = candidateSeqKeyByFeature.values + .map { candidates => + candidates.size + }.max.toDouble + candidateSeqKeyByFeature.map { + case (featureKey: GroupingKey, candidateSeq: Seq[CandidateType]) => + val observedWeight: Double = candidateSeq.size.toDouble / maxNumberCandidates + // How much to shrink empirical estimates to 1 (Default is to make all weights 1). + val finalWeight = + (1.0 - rankerWeightShrinkage) * observedWeight + rankerWeightShrinkage * 1.0 + featureKey -> finalWeight + } + } + + /** + * Builds out the groups and weights for weighted interleaving of the candidates. + * More details are available at go/weighted-interleave. + * + * @param rankedCandidateSeq candidates to interleave. + * @param rankerWeightShrinkage value between [0, 1] with 1 being complete uniformity. + * @return Candidates grouped by feature key and with calculated interleaving weights. + */ + def buildRankedCandidatesWithWeightKeyByFeature( + rankedCandidateSeq: Seq[RankedCandidate], + rankerWeightShrinkage: Double, + interleaveFeature: BlendGroupingMethodEnum.Value + ): Seq[(Seq[RankedCandidate], Double)] = { + // To accommodate the re-grouping in InterleaveRanker + // In InterleaveBlender, we have already abandoned the grouping keys, and use Seq[Seq[]] to do interleave + // Since that we build the candidateSeq with groupingKey, we can guarantee there is no empty candidateSeq + val candidateSeqKeyByFeature: Map[GroupingKey, Seq[RankedCandidate]] = + rankedCandidateSeq.groupBy { candidate: RankedCandidate => + toGroupingKey(candidate, Some(interleaveFeature), None) + } + + // These weights [0, 1] are used to do weighted interleaving + // The default value of 1.0 ensures the group is always sampled. + val candidateWeightsKeyByFeature: Map[GroupingKey, Double] = + calculateWeightsKeyByFeature(candidateSeqKeyByFeature, rankerWeightShrinkage) + + candidateSeqKeyByFeature.map { + case (groupingKey: GroupingKey, candidateSeq: Seq[RankedCandidate]) => + Tuple2( + candidateSeq.sortBy(-_.predictionScore), + candidateWeightsKeyByFeature.getOrElse(groupingKey, 1.0)) + }.toSeq + } + + /** + * Takes current grouping (as implied by the outer Seq) and computes blending weights. + * + * @param initialCandidatesSeqSeq grouped candidates to interleave. + * @param rankerWeightShrinkage value between [0, 1] with 1 being complete uniformity. + * @return Grouped candidates with calculated interleaving weights. + */ + def buildInitialCandidatesWithWeightKeyByFeature( + initialCandidatesSeqSeq: Seq[Seq[InitialCandidate]], + rankerWeightShrinkage: Double, + ): Seq[(Seq[InitialCandidate], Double)] = { + val candidateSeqKeyByFeature: Map[GroupingKey, Seq[InitialCandidate]] = + initialCandidatesSeqSeq.zipWithIndex.map(_.swap).toMap.map { + case (groupId: Int, initialCandidatesSeq: Seq[InitialCandidate]) => + toGroupingKey(initialCandidatesSeq.head, None, Some(groupId)) -> initialCandidatesSeq + } + + // These weights [0, 1] are used to do weighted interleaving + // The default value of 1.0 ensures the group is always sampled. + val candidateWeightsKeyByFeature = + calculateWeightsKeyByFeature(candidateSeqKeyByFeature, rankerWeightShrinkage) + + candidateSeqKeyByFeature.map { + case (groupingKey: GroupingKey, candidateSeq: Seq[InitialCandidate]) => + Tuple2(candidateSeq, candidateWeightsKeyByFeature.getOrElse(groupingKey, 1.0)) + }.toSeq + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/EarlybirdSearchUtil.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/EarlybirdSearchUtil.scala new file mode 100644 index 000000000..6ddd358dc --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/EarlybirdSearchUtil.scala @@ -0,0 +1,130 @@ +package com.twitter.cr_mixer.util + +import com.twitter.search.common.schema.earlybird.EarlybirdFieldConstants.EarlybirdFieldConstant +import com.twitter.search.queryparser.query.search.SearchOperator +import com.twitter.search.queryparser.query.search.SearchOperatorConstants +import com.twitter.search.queryparser.query.{Query => EbQuery} +import com.twitter.search.queryparser.query.Conjunction +import scala.collection.JavaConverters._ +import com.twitter.search.earlybird.thriftscala.ThriftSearchResultMetadataOptions +import com.twitter.simclusters_v2.common.TweetId +import com.twitter.search.queryparser.query.Query +import com.twitter.util.Duration +import com.twitter.search.common.query.thriftjava.thriftscala.CollectorTerminationParams + +object EarlybirdSearchUtil { + val EarlybirdClientId: String = "cr-mixer.prod" + + val Mentions: String = EarlybirdFieldConstant.MENTIONS_FACET + val Hashtags: String = EarlybirdFieldConstant.HASHTAGS_FACET + val FacetsToFetch: Seq[String] = Seq(Mentions, Hashtags) + + val MetadataOptions: ThriftSearchResultMetadataOptions = ThriftSearchResultMetadataOptions( + getTweetUrls = true, + getResultLocation = false, + getLuceneScore = false, + getInReplyToStatusId = true, + getReferencedTweetAuthorId = true, + getMediaBits = true, + getAllFeatures = true, + getFromUserId = true, + returnSearchResultFeatures = true, + // Set getExclusiveConversationAuthorId in order to retrieve Exclusive / SuperFollow tweets. + getExclusiveConversationAuthorId = true + ) + + // Filter out retweets and replies + val TweetTypesToExclude: Seq[String] = + Seq( + SearchOperatorConstants.NATIVE_RETWEETS, + SearchOperatorConstants.REPLIES) + + def GetCollectorTerminationParams( + maxNumHitsPerShard: Int, + processingTimeout: Duration + ): Option[CollectorTerminationParams] = { + Some( + CollectorTerminationParams( + // maxHitsToProcess is used for early termination on each EB shard + maxHitsToProcess = Some(maxNumHitsPerShard), + timeoutMs = processingTimeout.inMilliseconds.toInt + )) + } + + /** + * Get EarlybirdQuery + * This function creates a EBQuery based on the search input + */ + def GetEarlybirdQuery( + beforeTweetIdExclusive: Option[TweetId], + afterTweetIdExclusive: Option[TweetId], + excludedTweetIds: Set[TweetId], + filterOutRetweetsAndReplies: Boolean + ): Option[EbQuery] = + CreateConjunction( + Seq( + CreateRangeQuery(beforeTweetIdExclusive, afterTweetIdExclusive), + CreateExcludedTweetIdsQuery(excludedTweetIds), + CreateTweetTypesFilters(filterOutRetweetsAndReplies) + ).flatten) + + def CreateRangeQuery( + beforeTweetIdExclusive: Option[TweetId], + afterTweetIdExclusive: Option[TweetId] + ): Option[EbQuery] = { + val beforeIdClause = beforeTweetIdExclusive.map { beforeId => + // MAX_ID is an inclusive value therefore we subtract 1 from beforeId. + new SearchOperator(SearchOperator.Type.MAX_ID, (beforeId - 1).toString) + } + val afterIdClause = afterTweetIdExclusive.map { afterId => + new SearchOperator(SearchOperator.Type.SINCE_ID, afterId.toString) + } + CreateConjunction(Seq(beforeIdClause, afterIdClause).flatten) + } + + def CreateTweetTypesFilters(filterOutRetweetsAndReplies: Boolean): Option[EbQuery] = { + if (filterOutRetweetsAndReplies) { + val tweetTypeFilters = TweetTypesToExclude.map { searchOperator => + new SearchOperator(SearchOperator.Type.EXCLUDE, searchOperator) + } + CreateConjunction(tweetTypeFilters) + } else None + } + + def CreateConjunction(clauses: Seq[EbQuery]): Option[EbQuery] = { + clauses.size match { + case 0 => None + case 1 => Some(clauses.head) + case _ => Some(new Conjunction(clauses.asJava)) + } + } + + def CreateExcludedTweetIdsQuery(tweetIds: Set[TweetId]): Option[EbQuery] = { + if (tweetIds.nonEmpty) { + Some( + new SearchOperator.Builder() + .setType(SearchOperator.Type.NAMED_MULTI_TERM_DISJUNCTION) + .addOperand(EarlybirdFieldConstant.ID_FIELD.getFieldName) + .addOperand(EXCLUDE_TWEET_IDS) + .setOccur(Query.Occur.MUST_NOT) + .build()) + } else None + } + + /** + * Get NamedDisjunctions with excludedTweetIds + */ + def GetNamedDisjunctions(excludedTweetIds: Set[TweetId]): Option[Map[String, Seq[Long]]] = + if (excludedTweetIds.nonEmpty) + createNamedDisjunctionsExcludedTweetIds(excludedTweetIds) + else None + + val EXCLUDE_TWEET_IDS = "exclude_tweet_ids" + private def createNamedDisjunctionsExcludedTweetIds( + tweetIds: Set[TweetId] + ): Option[Map[String, Seq[Long]]] = { + if (tweetIds.nonEmpty) { + Some(Map(EXCLUDE_TWEET_IDS -> tweetIds.toSeq)) + } else None + } +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/InterleaveUtil.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/InterleaveUtil.scala new file mode 100644 index 000000000..c75abde2e --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/InterleaveUtil.scala @@ -0,0 +1,160 @@ +package com.twitter.cr_mixer.util + +import com.twitter.cr_mixer.model.Candidate +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.simclusters_v2.common.TweetId +import scala.collection.mutable +import scala.collection.mutable.ArrayBuffer + +object InterleaveUtil { + + /** + * Interleaves candidates by iteratively taking one candidate from the 1st Seq and adding it to the result. + * Once we take a candidate from a Seq, we move this Seq to the end of the queue to process, + * and remove the candidate from that Seq. + * + * We keep a mutable.Set[TweetId] buffer to ensure there are no duplicates. + * + * @param candidates candidates assumed to be sorted by eventTime (latest event comes first) + * @return interleaved candidates + */ + def interleave[CandidateType <: Candidate]( + candidates: Seq[Seq[CandidateType]] + ): Seq[CandidateType] = { + + // copy candidates into a mutable map so this method is thread-safe + val candidatesPerSequence = candidates.map { tweetCandidates => + mutable.Queue() ++= tweetCandidates + } + + val seen = mutable.Set[TweetId]() + + val candidateSeqQueue = mutable.Queue() ++= candidatesPerSequence + + val result = ArrayBuffer[CandidateType]() + + while (candidateSeqQueue.nonEmpty) { + val candidatesQueue = candidateSeqQueue.head + + if (candidatesQueue.nonEmpty) { + val candidate = candidatesQueue.dequeue() + val candidateTweetId = candidate.tweetId + val seenCandidate = seen.contains(candidateTweetId) + if (!seenCandidate) { + result += candidate + seen.add(candidate.tweetId) + candidateSeqQueue.enqueue( + candidateSeqQueue.dequeue() + ) // move this Seq to end + } + } else { + candidateSeqQueue.dequeue() //finished processing this Seq + } + } + //convert result to immutable seq + result.toList + } + + /** + * Interleaves candidates by iteratively + * 1. Checking weight to see if enough accumulation has occurred to sample from + * 2. If yes, taking one candidate from the the Seq and adding it to the result. + * 3. Move this Seq to the end of the queue to process (and remove the candidate from that Seq if + * we sampled it from step 2). + * + * We keep count of the iterations to prevent infinite loops. + * We keep a mutable.Set[TweetId] buffer to ensure there are no duplicates. + * + * @param candidatesAndWeight candidates assumed to be sorted by eventTime (latest event comes first), + * along with sampling weights to help prioritize important groups. + * @param maxWeightAdjustments Maximum number of iterations to account for weighting before + * defaulting to uniform interleaving. + * @return interleaved candidates + */ + def weightedInterleave[CandidateType <: Candidate]( + candidatesAndWeight: Seq[(Seq[CandidateType], Double)], + maxWeightAdjustments: Int = 0 + ): Seq[CandidateType] = { + + // Set to avoid numerical issues around 1.0 + val min_weight = 1 - 1e-30 + + // copy candidates into a mutable map so this method is thread-safe + // adds a counter to use towards sampling + val candidatesAndWeightsPerSequence: Seq[ + (mutable.Queue[CandidateType], InterleaveWeights) + ] = + candidatesAndWeight.map { candidatesAndWeight => + (mutable.Queue() ++= candidatesAndWeight._1, InterleaveWeights(candidatesAndWeight._2, 0.0)) + } + + val seen: mutable.Set[TweetId] = mutable.Set[TweetId]() + + val candidateSeqQueue: mutable.Queue[(mutable.Queue[CandidateType], InterleaveWeights)] = + mutable.Queue() ++= candidatesAndWeightsPerSequence + + val result: ArrayBuffer[CandidateType] = ArrayBuffer[CandidateType]() + var number_iterations: Int = 0 + + while (candidateSeqQueue.nonEmpty) { + val (candidatesQueue, currentWeights) = candidateSeqQueue.head + if (candidatesQueue.nonEmpty) { + // Confirm weighting scheme + currentWeights.summed_weight += currentWeights.weight + number_iterations += 1 + if (currentWeights.summed_weight >= min_weight || number_iterations >= maxWeightAdjustments) { + // If we sample, then adjust the counter + currentWeights.summed_weight -= 1.0 + val candidate = candidatesQueue.dequeue() + val candidateTweetId = candidate.tweetId + val seenCandidate = seen.contains(candidateTweetId) + if (!seenCandidate) { + result += candidate + seen.add(candidate.tweetId) + candidateSeqQueue.enqueue(candidateSeqQueue.dequeue()) // move this Seq to end + } + } else { + candidateSeqQueue.enqueue(candidateSeqQueue.dequeue()) // move this Seq to end + } + } else { + candidateSeqQueue.dequeue() //finished processing this Seq + } + } + //convert result to immutable seq + result.toList + } + + def buildCandidatesKeyByCGInfo( + candidates: Seq[RankedCandidate], + ): Seq[Seq[RankedCandidate]] = { + // To accommodate the re-grouping in InterleaveRanker + // In InterleaveBlender, we have already abandoned the grouping keys, and use Seq[Seq[]] to do interleave + // Since that we build the candidateSeq with groupingKey, we can guarantee there is no empty candidateSeq + val candidateSeqKeyByCG = + candidates.groupBy(candidate => GroupingKey.toGroupingKey(candidate.reasonChosen)) + candidateSeqKeyByCG.map { + case (groupingKey, candidateSeq) => + candidateSeq.sortBy(-_.predictionScore) + }.toSeq + } +} + +case class GroupingKey( + sourceInfoOpt: Option[SourceInfo], + similarityEngineType: SimilarityEngineType, + modelId: Option[String]) {} + +object GroupingKey { + def toGroupingKey(candidateGenerationInfo: CandidateGenerationInfo): GroupingKey = { + GroupingKey( + candidateGenerationInfo.sourceInfoOpt, + candidateGenerationInfo.similarityEngineInfo.similarityEngineType, + candidateGenerationInfo.similarityEngineInfo.modelId + ) + } +} + +case class InterleaveWeights(weight: Double, var summed_weight: Double) diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/MetricTagUtil.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/MetricTagUtil.scala new file mode 100644 index 000000000..caa6d9f07 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/MetricTagUtil.scala @@ -0,0 +1,135 @@ +package com.twitter.cr_mixer.util + +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.model.SimilarityEngineInfo +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.thriftscala.MetricTag +import com.twitter.cr_mixer.thriftscala.SimilarityEngineType +import com.twitter.cr_mixer.thriftscala.SourceType + +object MetricTagUtil { + + def buildMetricTags(candidate: RankedCandidate): Seq[MetricTag] = { + val interestedInMetricTag = isFromInterestedIn(candidate) + + val cgInfoMetricTags = candidate.potentialReasons + .flatMap { cgInfo => + val sourceMetricTag = cgInfo.sourceInfoOpt.flatMap { sourceInfo => + toMetricTagFromSource(sourceInfo.sourceType) + } + val similarityEngineTags = toMetricTagFromSimilarityEngine( + cgInfo.similarityEngineInfo, + cgInfo.contributingSimilarityEngines) + + val combinedMetricTag = cgInfo.sourceInfoOpt.flatMap { sourceInfo => + toMetricTagFromSourceAndSimilarityEngine(sourceInfo, cgInfo.similarityEngineInfo) + } + + Seq(sourceMetricTag) ++ similarityEngineTags ++ Seq(combinedMetricTag) + }.flatten.toSet + (interestedInMetricTag ++ cgInfoMetricTags).toSeq + } + + /*** + * match a sourceType to a metricTag + */ + private def toMetricTagFromSource(sourceType: SourceType): Option[MetricTag] = { + sourceType match { + case SourceType.TweetFavorite => Some(MetricTag.TweetFavorite) // Personalized Topics in Home + case SourceType.Retweet => Some(MetricTag.Retweet) // Personalized Topics in Home + case SourceType.NotificationClick => + Some(MetricTag.PushOpenOrNtabClick) // Health Filter in MR + case SourceType.OriginalTweet => + Some(MetricTag.OriginalTweet) + case SourceType.Reply => + Some(MetricTag.Reply) + case SourceType.TweetShare => + Some(MetricTag.TweetShare) + case SourceType.UserFollow => + Some(MetricTag.UserFollow) + case SourceType.UserRepeatedProfileVisit => + Some(MetricTag.UserRepeatedProfileVisit) + case SourceType.TwiceUserId => + Some(MetricTag.TwiceUserId) + case _ => None + } + } + + /*** + * If the SEInfo is built by a unified sim engine, we un-wrap the contributing sim engines. + * If not, we log the sim engine as usual. + * @param seInfo (CandidateGenerationInfo.similarityEngineInfo): SimilarityEngineInfo, + * @param cseInfo (CandidateGenerationInfo.contributingSimilarityEngines): Seq[SimilarityEngineInfo] + */ + private def toMetricTagFromSimilarityEngine( + seInfo: SimilarityEngineInfo, + cseInfo: Seq[SimilarityEngineInfo] + ): Seq[Option[MetricTag]] = { + seInfo.similarityEngineType match { + case SimilarityEngineType.TweetBasedUnifiedSimilarityEngine => // un-wrap the unified sim engine + cseInfo.map { contributingSimEngine => + toMetricTagFromSimilarityEngine(contributingSimEngine, Seq.empty) + }.flatten + case SimilarityEngineType.ProducerBasedUnifiedSimilarityEngine => // un-wrap the unified sim engine + cseInfo.map { contributingSimEngine => + toMetricTagFromSimilarityEngine(contributingSimEngine, Seq.empty) + }.flatten + // SimClustersANN can either be called on its own, or be called under unified sim engine + case SimilarityEngineType.SimClustersANN => // the old "UserInterestedIn" will be replaced by this. Also, OfflineTwice + Seq(Some(MetricTag.SimClustersANN), seInfo.modelId.flatMap(toMetricTagFromModelId(_))) + case SimilarityEngineType.ConsumerEmbeddingBasedTwHINANN => + Seq(Some(MetricTag.ConsumerEmbeddingBasedTwHINANN)) + case SimilarityEngineType.TwhinCollabFilter => Seq(Some(MetricTag.TwhinCollabFilter)) + // In the current implementation, TweetBasedUserTweetGraph/TweetBasedTwHINANN has a tag when + // it's either a base SE or a contributing SE. But for now they only show up in contributing SE. + case SimilarityEngineType.TweetBasedUserTweetGraph => + Seq(Some(MetricTag.TweetBasedUserTweetGraph)) + case SimilarityEngineType.TweetBasedTwHINANN => + Seq(Some(MetricTag.TweetBasedTwHINANN)) + case _ => Seq.empty + } + } + + /*** + * pass in a model id, and match it with the metric tag type. + */ + private def toMetricTagFromModelId( + modelId: String + ): Option[MetricTag] = { + + val pushOpenBasedModelRegex = "(.*_Model20m145k2020_20220819)".r + + modelId match { + case pushOpenBasedModelRegex(_*) => + Some(MetricTag.RequestHealthFilterPushOpenBasedTweetEmbedding) + case _ => None + } + } + + private def toMetricTagFromSourceAndSimilarityEngine( + sourceInfo: SourceInfo, + seInfo: SimilarityEngineInfo + ): Option[MetricTag] = { + sourceInfo.sourceType match { + case SourceType.Lookalike + if seInfo.similarityEngineType == SimilarityEngineType.ConsumersBasedUserTweetGraph => + Some(MetricTag.LookalikeUTG) + case _ => None + } + } + + /** + * Special use case: used by Notifications team to generate the UserInterestedIn CRT push copy. + * + * if we have different types of InterestedIn (eg. UserInterestedIn, NextInterestedIn), + * this if statement will have to be refactored to contain the real UserInterestedIn. + * @return + */ + private def isFromInterestedIn(candidate: RankedCandidate): Set[MetricTag] = { + if (candidate.reasonChosen.sourceInfoOpt.isEmpty + && candidate.reasonChosen.similarityEngineInfo.similarityEngineType == SimilarityEngineType.SimClustersANN) { + Set(MetricTag.UserInterestedIn) + } else Set.empty + } + +} diff --git a/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/SignalTimestampStatsUtil.scala b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/SignalTimestampStatsUtil.scala new file mode 100644 index 000000000..ae2789432 --- /dev/null +++ b/cr-mixer/server/src/main/scala/com/twitter/cr_mixer/util/SignalTimestampStatsUtil.scala @@ -0,0 +1,66 @@ +package com.twitter.cr_mixer.util + +import com.twitter.cr_mixer.model.CandidateGenerationInfo +import com.twitter.cr_mixer.model.RankedCandidate +import com.twitter.cr_mixer.model.SourceInfo +import com.twitter.cr_mixer.thriftscala.SourceType +import com.twitter.cr_mixer.thriftscala.TweetRecommendation +import javax.inject.Inject +import com.twitter.finagle.stats.StatsReceiver +import javax.inject.Singleton +import com.twitter.relevance_platform.common.stats.BucketTimestampStats + +@Singleton +class SignalTimestampStatsUtil @Inject() (statsReceiver: StatsReceiver) { + import SignalTimestampStatsUtil._ + + private val signalDelayAgePerDayStats = + new BucketTimestampStats[TweetRecommendation]( + BucketTimestampStats.MillisecondsPerDay, + _.latestSourceSignalTimestampInMillis.getOrElse(0), + Some(SignalTimestampMaxDays))( + statsReceiver.scope("signal_timestamp_per_day") + ) // only stats past 90 days + private val signalDelayAgePerHourStats = + new BucketTimestampStats[TweetRecommendation]( + BucketTimestampStats.MillisecondsPerHour, + _.latestSourceSignalTimestampInMillis.getOrElse(0), + Some(SignalTimestampMaxHours))( + statsReceiver.scope("signal_timestamp_per_hour") + ) // only stats past 24 hours + private val signalDelayAgePerMinStats = + new BucketTimestampStats[TweetRecommendation]( + BucketTimestampStats.MillisecondsPerMinute, + _.latestSourceSignalTimestampInMillis.getOrElse(0), + Some(SignalTimestampMaxMins))( + statsReceiver.scope("signal_timestamp_per_min") + ) // only stats past 60 minutes + + def statsSignalTimestamp( + tweets: Seq[TweetRecommendation], + ): Seq[TweetRecommendation] = { + signalDelayAgePerMinStats.count(tweets) + signalDelayAgePerHourStats.count(tweets) + signalDelayAgePerDayStats.count(tweets) + } +} + +object SignalTimestampStatsUtil { + val SignalTimestampMaxMins = 60 // stats at most 60 mins + val SignalTimestampMaxHours = 24 // stats at most 24 hours + val SignalTimestampMaxDays = 90 // stats at most 90 days + + def buildLatestSourceSignalTimestamp(candidate: RankedCandidate): Option[Long] = { + val timestampSeq = candidate.potentialReasons + .collect { + case CandidateGenerationInfo(Some(SourceInfo(sourceType, _, Some(sourceEventTime))), _, _) + if sourceType == SourceType.TweetFavorite => + sourceEventTime.inMilliseconds + } + if (timestampSeq.nonEmpty) { + Some(timestampSeq.max(Ordering.Long)) + } else { + None + } + } +} diff --git a/cr-mixer/thrift/src/main/thrift/BUILD b/cr-mixer/thrift/src/main/thrift/BUILD new file mode 100644 index 000000000..3ccb85681 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/BUILD @@ -0,0 +1,48 @@ +create_thrift_libraries( + base_name = "thrift", + sources = ["*.thrift"], + platform = "java8", + tags = ["bazel-compatible"], + dependency_roots = [ + "finatra-internal/thrift/src/main/thrift", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift", + "src/thrift/com/twitter/ads/schema:common", + "src/thrift/com/twitter/ml/api:data", + "src/thrift/com/twitter/recos:recos-common", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift", + "src/thrift/com/twitter/timelines/render:thrift", + "strato/config/src/thrift/com/twitter/strato/graphql", + "strato/config/src/thrift/com/twitter/strato/graphql:api-media-graphql", + "strato/config/src/thrift/com/twitter/strato/graphql:topics-graphql", + ], + generate_languages = [ + "java", + "scala", + "strato", + ], + provides_java_name = "cr-mixer-thrift-java", + provides_scala_name = "cr-mixer-thrift-scala", +) + +create_thrift_libraries( + base_name = "cr-mixer-scribe", + sources = ["*.thrift"], + tags = ["bazel-compatible"], + dependency_roots = [ + "finatra-internal/thrift/src/main/thrift", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift", + "src/thrift/com/twitter/ads/schema:common", + "src/thrift/com/twitter/ml/api:data", + "src/thrift/com/twitter/recos:recos-common", + "src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift", + "src/thrift/com/twitter/timelines/render:thrift", + "strato/config/src/thrift/com/twitter/strato/graphql", + ], + generate_languages = [ + "java", + "scala", + "strato", + ], + provides_java_name = "cr-mixer-scribe-java", + provides_scala_name = "cr-mixer-scribe-scala", +) diff --git a/cr-mixer/thrift/src/main/thrift/ads.thrift b/cr-mixer/thrift/src/main/thrift/ads.thrift new file mode 100644 index 000000000..70d4ad562 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/ads.thrift @@ -0,0 +1,33 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "product.thrift" +include "product_context.thrift" + +include "com/twitter/product_mixer/core/client_context.thrift" +include "com/twitter/ads/schema/shared.thrift" + +struct AdsRequest { + 1: required client_context.ClientContext clientContext + 2: required product.Product product + # Product-specific parameters should be placed in the Product Context + 3: optional product_context.ProductContext productContext + 4: optional list excludedTweetIds (personalDataType = 'TweetId') +} (persisted='true', hasPersonalData='true') + +struct AdsResponse { + 1: required list ads +} (persisted='true') + +struct AdTweetRecommendation { + 1: required i64 tweetId (personalDataType = 'TweetId') + 2: required double score + 3: optional list lineItems + +} (persisted='true') + +struct LineItemInfo { + 1: required i64 lineItemId (personalDataType = 'LineItemId') + 2: required shared.LineItemObjective lineItemObjective +} (persisted='true') diff --git a/cr-mixer/thrift/src/main/thrift/candidate_generation_key.thrift b/cr-mixer/thrift/src/main/thrift/candidate_generation_key.thrift new file mode 100644 index 000000000..4f2a4a9ee --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/candidate_generation_key.thrift @@ -0,0 +1,21 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "source_type.thrift" +include "com/twitter/simclusters_v2/identifier.thrift" + +struct SimilarityEngine { + 1: required source_type.SimilarityEngineType similarityEngineType + 2: optional string modelId + 3: optional double score +} (persisted='true') + +struct CandidateGenerationKey { + 1: required source_type.SourceType sourceType + 2: required i64 sourceEventTime (personalDataType = 'PrivateTimestamp') + 3: required identifier.InternalId id + 4: required string modelId + 5: optional source_type.SimilarityEngineType similarityEngineType + 6: optional list contributingSimilarityEngine +} (persisted='true') diff --git a/cr-mixer/thrift/src/main/thrift/cr_mixer.thrift b/cr-mixer/thrift/src/main/thrift/cr_mixer.thrift new file mode 100644 index 000000000..2fddf1cf8 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/cr_mixer.thrift @@ -0,0 +1,104 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "ads.thrift" +include "candidate_generation_key.thrift" +include "product.thrift" +include "product_context.thrift" +include "validation.thrift" +include "metric_tags.thrift" +include "related_tweet.thrift" +include "uteg.thrift" +include "frs_based_tweet.thrift" +include "related_video_tweet.thrift" +include "topic_tweet.thrift" + +include "com/twitter/product_mixer/core/client_context.thrift" +include "com/twitter/timelines/render/response.thrift" +include "finatra-thrift/finatra_thrift_exceptions.thrift" +include "com/twitter/strato/graphql/slice.thrift" + +struct CrMixerTweetRequest { + 1: required client_context.ClientContext clientContext + 2: required product.Product product + # Product-specific parameters should be placed in the Product Context + 3: optional product_context.ProductContext productContext + 4: optional list excludedTweetIds (personalDataType = 'TweetId') +} (persisted='true', hasPersonalData='true') + +struct TweetRecommendation { + 1: required i64 tweetId (personalDataType = 'TweetId') + 2: required double score + 3: optional list metricTags + # 4: the author of the tweet candidate. To be used by Content-Mixer to unblock the Hydra experiment. + 4: optional i64 authorId (personalDataType = 'UserId') + # 5: extra info about candidate generation. To be used by Content-Mixer to unblock the Hydra experiment. + 5: optional candidate_generation_key.CandidateGenerationKey candidateGenerationKey + # 1001: the latest timestamp of fav signals. If null, the candidate is not generated from fav signals + 1001: optional i64 latestSourceSignalTimestampInMillis(personalDataType = 'PublicTimestamp') +} (persisted='true', hasPersonalData = 'true') + +struct CrMixerTweetResponse { + 1: required list tweets +} (persisted='true') + +service CrMixer { + CrMixerTweetResponse getTweetRecommendations(1: CrMixerTweetRequest request) throws ( + # Validation errors - the details of which will be reported to clients on failure + 1: validation.ValidationExceptionList validationErrors; + # Server errors - the details of which will not be reported to clients + 2: finatra_thrift_exceptions.ServerError serverError + ) + + # getRelatedTweetsForQueryTweet and getRelatedTweetsForQueryAuthor do very similar things + # We can merge these two endpoints into one unified endpoint + related_tweet.RelatedTweetResponse getRelatedTweetsForQueryTweet(1: related_tweet.RelatedTweetRequest request) throws ( + # Validation errors - the details of which will be reported to clients on failure + 1: validation.ValidationExceptionList validationErrors; + # Server errors - the details of which will not be reported to clients + 2: finatra_thrift_exceptions.ServerError serverError + ) + + related_tweet.RelatedTweetResponse getRelatedTweetsForQueryAuthor(1: related_tweet.RelatedTweetRequest request) throws ( + # Validation errors - the details of which will be reported to clients on failure + 1: validation.ValidationExceptionList validationErrors; + # Server errors - the details of which will not be reported to clients + 2: finatra_thrift_exceptions.ServerError serverError + ) + + uteg.UtegTweetResponse getUtegTweetRecommendations(1: uteg.UtegTweetRequest request) throws ( + # Validation errors - the details of which will be reported to clients on failure + 1: validation.ValidationExceptionList validationErrors; + # Server errors - the details of which will not be reported to clients + 2: finatra_thrift_exceptions.ServerError serverError + ) + + frs_based_tweet.FrsTweetResponse getFrsBasedTweetRecommendations(1: frs_based_tweet.FrsTweetRequest request) throws ( + # Validation errors - the details of which will be reported to clients on failure + 1: validation.ValidationExceptionList validationErrors; + # Server errors - the details of which will not be reported to clients + 2: finatra_thrift_exceptions.ServerError serverError + ) + + related_video_tweet.RelatedVideoTweetResponse getRelatedVideoTweetsForQueryTweet(1: related_video_tweet.RelatedVideoTweetRequest request) throws ( + # Validation errors - the details of which will be reported to clients on failure + 1: validation.ValidationExceptionList validationErrors; + # Server errors - the details of which will not be reported to clients + 2: finatra_thrift_exceptions.ServerError serverError + ) + + ads.AdsResponse getAdsRecommendations(1: ads.AdsRequest request) throws ( + # Validation errors - the details of which will be reported to clients on failure + 1: validation.ValidationExceptionList validationErrors; + # Server errors - the details of which will not be reported to clients + 2: finatra_thrift_exceptions.ServerError serverError + ) + + topic_tweet.TopicTweetResponse getTopicTweetRecommendations(1: topic_tweet.TopicTweetRequest request) throws ( + # Validation errors - the details of which will be reported to clients on failure + 1: validation.ValidationExceptionList validationErrors; + # Server errors - the details of which will not be reported to clients + 2: finatra_thrift_exceptions.ServerError serverError + ) +} diff --git a/cr-mixer/thrift/src/main/thrift/frs_based_tweet.thrift b/cr-mixer/thrift/src/main/thrift/frs_based_tweet.thrift new file mode 100644 index 000000000..bb83397b6 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/frs_based_tweet.thrift @@ -0,0 +1,35 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "product.thrift" +include "product_context.thrift" +include "com/twitter/product_mixer/core/client_context.thrift" + +struct FrsTweetRequest { +1: required client_context.ClientContext clientContext +2: required product.Product product +3: optional product_context.ProductContext productContext +# excludedUserIds - user ids to be excluded from FRS candidate generation +4: optional list excludedUserIds (personalDataType = 'UserId') +# excludedTweetIds - tweet ids to be excluded from Earlybird candidate generation +5: optional list excludedTweetIds (personalDataType = 'TweetId') +} (persisted='true', hasPersonalData='true') + +struct FrsTweet { +1: required i64 tweetId (personalDataType = 'TweetId') +2: required i64 authorId (personalDataType = 'UserId') +# skip 3 in case we need tweet score in the future +# frsPrimarySource - which FRS candidate source is the primary one to generate this author +4: optional i32 frsPrimarySource +# frsCandidateSourceScores - FRS candidate sources and the scores for this author +# for i32 to algorithm mapping, see https://sourcegraph.twitter.biz/git.twitter.biz/source/-/blob/hermit/hermit-core/src/main/scala/com/twitter/hermit/constants/AlgorithmFeedbackTokens.scala?L12 +5: optional map frsCandidateSourceScores +# frsPrimaryScore - the score of the FRS primary candidate source +6: optional double frsAuthorScore +} (persisted='true', hasPersonalData = 'true') + +struct FrsTweetResponse { + 1: required list tweets +} (persisted='true') + diff --git a/cr-mixer/thrift/src/main/thrift/metric_tags.thrift b/cr-mixer/thrift/src/main/thrift/metric_tags.thrift new file mode 100644 index 000000000..dd4fb5012 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/metric_tags.thrift @@ -0,0 +1,44 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + + +// NOTE: DO NOT depend on MetricTags for important ML Features or business logic. +// MetricTags are meant for stats tracking & debugging purposes ONLY. +// cr-mixer may change its definitions & how each candidate is tagged without public notice. +// NOTE: TSPS needs the caller (Home) to specify which signal it uses to make Personalized Topics +enum MetricTag { + // Source Signal Tags + TweetFavorite = 0 + Retweet = 1 + TrafficAttribution = 2 + OriginalTweet = 3 + Reply = 4 + TweetShare = 5 + + UserFollow = 101 + UserRepeatedProfileVisit = 102 + + PushOpenOrNtabClick = 201 + + HomeTweetClick = 301 + HomeVideoView = 302 + + // sim engine types + SimClustersANN = 401 + TweetBasedUserTweetGraph = 402 + TweetBasedTwHINANN = 403 + ConsumerEmbeddingBasedTwHINANN = 404 + + + // combined engine types + UserInterestedIn = 501 // Will deprecate soon + LookalikeUTG = 502 + TwhinCollabFilter = 503 + + // Offline Twice + TwiceUserId = 601 + + // Other Metric Tags + RequestHealthFilterPushOpenBasedTweetEmbedding = 701 +} (persisted='true', hasPersonalData='true') diff --git a/cr-mixer/thrift/src/main/thrift/product.thrift b/cr-mixer/thrift/src/main/thrift/product.thrift new file mode 100644 index 000000000..6e23a1092 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/product.thrift @@ -0,0 +1,19 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +# In CrMixer, one org should only have one Product +enum Product { + Home = 1 + Notifications = 2 + Email = 3 + MoreTweetsModule = 4 # aka RUX + ImmersiveMediaViewer = 5 + VideoCarousel = 6 + ExploreTopics = 7 + Ads = 8 + HomeRealTime = 9 // Home Real-Time Tab is considered as a different Product surface to Home Tab. It's in early experiment phase. + TopicLandingPage = 10 + HomeTopicsBackfill = 11 + TopicTweetsStrato = 12 +} diff --git a/cr-mixer/thrift/src/main/thrift/product_context.thrift b/cr-mixer/thrift/src/main/thrift/product_context.thrift new file mode 100644 index 000000000..29e2d9687 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/product_context.thrift @@ -0,0 +1,21 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +struct HomeContext { + 2: optional i32 maxResults // enabled for QuaityFactor related DDGs only +} (persisted='true', hasPersonalData='false') + +struct NotificationsContext { + 1: optional i32 devNull // not being used. it's a placeholder +} (persisted='true', hasPersonalData='false') + +struct ExploreContext { + 1: required bool isVideoOnly +} (persisted='true', hasPersonalData='false') + +union ProductContext { + 1: HomeContext homeContext + 2: NotificationsContext notificationsContext + 3: ExploreContext exploreContext +} (persisted='true', hasPersonalData='false') diff --git a/cr-mixer/thrift/src/main/thrift/related_tweet.thrift b/cr-mixer/thrift/src/main/thrift/related_tweet.thrift new file mode 100644 index 000000000..04e797b1b --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/related_tweet.thrift @@ -0,0 +1,24 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "product.thrift" +include "com/twitter/product_mixer/core/client_context.thrift" +include "com/twitter/simclusters_v2/identifier.thrift" + +struct RelatedTweetRequest { + 1: required identifier.InternalId internalId + 2: required product.Product product + 3: required client_context.ClientContext clientContext # RUX LogOut will have clientContext.userId = None + 4: optional list excludedTweetIds (personalDataType = 'TweetId') +} (persisted='true', hasPersonalData='true') + +struct RelatedTweet { + 1: required i64 tweetId (personalDataType = 'TweetId') + 2: optional double score + 3: optional i64 authorId (personalDataType = 'UserId') +} (persisted='true', hasPersonalData='true') + +struct RelatedTweetResponse { + 1: required list tweets +} (persisted='true') diff --git a/cr-mixer/thrift/src/main/thrift/related_video_tweet.thrift b/cr-mixer/thrift/src/main/thrift/related_video_tweet.thrift new file mode 100644 index 000000000..18a987e7d --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/related_video_tweet.thrift @@ -0,0 +1,23 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "product.thrift" +include "com/twitter/product_mixer/core/client_context.thrift" +include "com/twitter/simclusters_v2/identifier.thrift" + +struct RelatedVideoTweetRequest { + 1: required identifier.InternalId internalId + 2: required product.Product product + 3: required client_context.ClientContext clientContext # RUX LogOut will have clientContext.userId = None + 4: optional list excludedTweetIds (personalDataType = 'TweetId') +} (persisted='true', hasPersonalData='true') + +struct RelatedVideoTweet { + 1: required i64 tweetId (personalDataType = 'TweetId') + 2: optional double score +} (persisted='true', hasPersonalData='true') + +struct RelatedVideoTweetResponse { + 1: required list tweets +} (persisted='true') diff --git a/cr-mixer/thrift/src/main/thrift/scribe.thrift b/cr-mixer/thrift/src/main/thrift/scribe.thrift new file mode 100644 index 000000000..61fdb5eb9 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/scribe.thrift @@ -0,0 +1,168 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "ads.thrift" +include "candidate_generation_key.thrift" +include "cr_mixer.thrift" +include "metric_tags.thrift" +include "product.thrift" +include "related_tweet.thrift" +include "source_type.thrift" +include "uteg.thrift" +include "com/twitter/ml/api/data.thrift" +include "com/twitter/simclusters_v2/identifier.thrift" + +struct VITTweetCandidatesScribe { + 1: required i64 uuid (personalDataType = 'UniversallyUniqueIdentifierUuid') # RequestUUID - unique scribe id for every request that comes in. Same request but different stages of scribe log (FetchCandidate, Filter, etc) share the same uuid + 2: required i64 userId (personalDataType = 'UserId') + 3: required list candidates + 7: required product.Product product + 8: required list impressedBuckets +} (persisted='true', hasPersonalData = 'true') + +struct VITTweetCandidateScribe { + 1: required i64 tweetId (personalDataType = 'TweetId') + 2: required i64 authorId (personalDataType = 'UserId') + 3: required double score + 4: required list metricTags +} (persisted='true', hasPersonalData = 'true') + +struct GetTweetsRecommendationsScribe { + 1: required i64 uuid (personalDataType = 'UniversallyUniqueIdentifierUuid') # RequestUUID - unique scribe id for every request that comes in. Same request but different stages of scribe log (FetchCandidate, Filter, etc) share the same uuid + 2: required i64 userId (personalDataType = 'UserId') + 3: required Result result + 4: optional i64 traceId + 5: optional PerformanceMetrics performanceMetrics + 6: optional list impressedBuckets +} (persisted='true', hasPersonalData = 'true') + +struct SourceSignal { + # optional, since that the next step covers all info here + 1: optional identifier.InternalId id +} (persisted='true') + +struct PerformanceMetrics { + 1: optional i64 latencyMs +} (persisted='true') + +struct TweetCandidateWithMetadata { + 1: required i64 tweetId (personalDataType = 'TweetId') + 2: optional candidate_generation_key.CandidateGenerationKey candidateGenerationKey + 3: optional i64 authorId (personalDataType = 'UserId') # only for InterleaveResult for hydrating training data + 4: optional double score # score with respect to candidateGenerationKey + 5: optional data.DataRecord dataRecord # attach any features to this candidate + 6: optional i32 numCandidateGenerationKeys # num CandidateGenerationKeys generating this tweetId +} (persisted='true') + +struct FetchSignalSourcesResult { + 1: optional set signals +} (persisted='true') + +struct FetchCandidatesResult { + 1: optional list tweets +} (persisted='true') + +struct PreRankFilterResult { + 1: optional list tweets +} (persisted='true') + +struct InterleaveResult { + 1: optional list tweets +} (persisted='true') + +struct RankResult { + 1: optional list tweets +} (persisted='true') + +struct TopLevelApiResult { + 1: required i64 timestamp (personalDataType = 'PrivateTimestamp') + 2: required cr_mixer.CrMixerTweetRequest request + 3: required cr_mixer.CrMixerTweetResponse response +} (persisted='true') + +union Result { + 1: FetchSignalSourcesResult fetchSignalSourcesResult + 2: FetchCandidatesResult fetchCandidatesResult + 3: PreRankFilterResult preRankFilterResult + 4: InterleaveResult interleaveResult + 5: RankResult rankResult + 6: TopLevelApiResult topLevelApiResult +} (persisted='true', hasPersonalData = 'true') + +struct ImpressesedBucketInfo { + 1: required i64 experimentId (personalDataType = 'ExperimentId') + 2: required string bucketName + 3: required i32 version +} (persisted='true') + +############# RelatedTweets Scribe ############# + +struct GetRelatedTweetsScribe { + 1: required i64 uuid (personalDataType = 'UniversallyUniqueIdentifierUuid') # RequestUUID - unique scribe id for every request that comes in. Same request but different stages of scribe log (FetchCandidate, Filter, etc) share the same uuid + 2: required identifier.InternalId internalId + 3: required RelatedTweetResult relatedTweetResult + 4: optional i64 requesterId (personalDataType = 'UserId') + 5: optional i64 guestId (personalDataType = 'GuestId') + 6: optional i64 traceId + 7: optional PerformanceMetrics performanceMetrics + 8: optional list impressedBuckets +} (persisted='true', hasPersonalData = 'true') + +struct RelatedTweetTopLevelApiResult { + 1: required i64 timestamp (personalDataType = 'PrivateTimestamp') + 2: required related_tweet.RelatedTweetRequest request + 3: required related_tweet.RelatedTweetResponse response +} (persisted='true') + +union RelatedTweetResult { + 1: RelatedTweetTopLevelApiResult relatedTweetTopLevelApiResult + 2: FetchCandidatesResult fetchCandidatesResult + 3: PreRankFilterResult preRankFilterResult # results after seqential filters + # if later we need rankResult, we can add it here +} (persisted='true', hasPersonalData = 'true') + +############# UtegTweets Scribe ############# + +struct GetUtegTweetsScribe { + 1: required i64 uuid (personalDataType = 'UniversallyUniqueIdentifierUuid') # RequestUUID - unique scribe id for every request that comes in. Same request but different stages of scribe log (FetchCandidate, Filter, etc) share the same uuid + 2: required i64 userId (personalDataType = 'UserId') + 3: required UtegTweetResult utegTweetResult + 4: optional i64 traceId + 5: optional PerformanceMetrics performanceMetrics + 6: optional list impressedBuckets +} (persisted='true', hasPersonalData = 'true') + +struct UtegTweetTopLevelApiResult { + 1: required i64 timestamp (personalDataType = 'PrivateTimestamp') + 2: required uteg.UtegTweetRequest request + 3: required uteg.UtegTweetResponse response +} (persisted='true') + +union UtegTweetResult { + 1: UtegTweetTopLevelApiResult utegTweetTopLevelApiResult + 2: FetchCandidatesResult fetchCandidatesResult + # if later we need rankResult, we can add it here +} (persisted='true', hasPersonalData = 'true') + +############# getAdsRecommendations() Scribe ############# + +struct GetAdsRecommendationsScribe { + 1: required i64 uuid (personalDataType = 'UniversallyUniqueIdentifierUuid') # RequestUUID - unique scribe id for every request that comes in. Same request but different stages of scribe log (FetchCandidate, Filter, etc) share the same uuid + 2: required i64 userId (personalDataType = 'UserId') + 3: required AdsRecommendationsResult result + 4: optional i64 traceId + 5: optional PerformanceMetrics performanceMetrics + 6: optional list impressedBuckets +} (persisted='true', hasPersonalData = 'true') + +struct AdsRecommendationTopLevelApiResult { + 1: required i64 timestamp (personalDataType = 'PrivateTimestamp') + 2: required ads.AdsRequest request + 3: required ads.AdsResponse response +} (persisted='true') + +union AdsRecommendationsResult{ + 1: AdsRecommendationTopLevelApiResult adsRecommendationTopLevelApiResult + 2: FetchCandidatesResult fetchCandidatesResult +}(persisted='true', hasPersonalData = 'true') diff --git a/cr-mixer/thrift/src/main/thrift/source_type.thrift b/cr-mixer/thrift/src/main/thrift/source_type.thrift new file mode 100644 index 000000000..913739fa3 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/source_type.thrift @@ -0,0 +1,123 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +// Due to legacy reason, SourceType used to represent both SourceSignalType and SimilarityEngineType +// Hence, you can see several SourceType such as UserInterestedIn, HashSpace, etc. +// Moving forward, SourceType will be used for SourceSignalType ONLY. eg., TweetFavorite, UserFollow +// We will create a new SimilarityEngineType to separate them. eg., SimClustersANN +enum SourceType { + // Tweet based Source Signal + TweetFavorite = 0 + Retweet = 1 + TrafficAttribution = 2 // Traffic Attribution will be migrated over in Q3 + OriginalTweet = 3 + Reply = 4 + TweetShare = 5 + GoodTweetClick = 6 // total dwell time > N seconds after click on the tweet + VideoTweetQualityView = 7 + VideoTweetPlayback50 = 8 + + // UserId based Source Signal (includes both Producer/Consumer) + UserFollow = 101 + UserRepeatedProfileVisit = 102 + + CurrentUser_DEPRECATED = 103 + + RealGraphOon = 104 + FollowRecommendation = 105 + + TwiceUserId = 106 + UserTrafficAttributionProfileVisit = 107 + GoodProfileClick = 108 // total dwell time > N seconds after click into the profile page + + // (Notification) Tweet based Source Signal + NotificationClick = 201 + + // (Home) Tweet based Source Signal + HomeTweetClick = 301 + HomeVideoView = 302 + HomeSongbirdShowMore = 303 + + // Topic based Source Signal + TopicFollow = 401 // Deprecated + PopularTopic = 402 // Deprecated + + // Old CR code + UserInterestedIn = 501 // Deprecated + TwiceInterestedIn = 502 // Deprecated + MBCG = 503 // Deprecated + HashSpace = 504 // Deprecated + + // Old CR code + Cluster = 601 // Deprecated + + // Search based Source Signal + SearchProfileClick = 701 // Deprecated + SearchTweetClick = 702 // Deprecated + + // Graph based Source + StrongTiePrediction = 801 // STP + TwiceClustersMembers = 802 + Lookalike = 803 // Deprecated + RealGraphIn = 804 + + // Current requester User Id. It is only used for scribing. Placeholder value + RequestUserId = 1001 + // Current request Tweet Id used in RelatedTweet. Placeholder value + RequestTweetId = 1002 + + // Negative Signals + TweetReport = 1101 + TweetDontLike = 1102 + TweetSeeFewer = 1103 + AccountBlock = 1104 + AccountMute = 1105 + + // Aggregated Signals + TweetAggregation = 1201 + ProducerAggregation = 1202 +} (persisted='true', hasPersonalData='true') + +enum SimilarityEngineType { + SimClustersANN = 1 + TweetBasedUserTweetGraph = 2 + TweetBasedTwHINANN = 3 + Follow2VecANN = 4 // ConsumerEmbeddingBasedFollow2Vec + QIG = 5 + OfflineSimClustersANN = 6 + LookalikeUTG_DEPRECATED = 7 + ProducerBasedUserTweetGraph = 8 + FrsUTG_DEPRECATED = 9 + RealGraphOonUTG_DEPRECATED = 10 + ConsumerEmbeddingBasedTwHINANN = 11 + TwhinCollabFilter = 12 + TwiceUTG_DEPRECATED = 13 + ConsumerEmbeddingBasedTwoTowerANN = 14 + TweetBasedBeTANN = 15 + StpUTG_DEPRECATED = 16 + UTEG = 17 + ROMR = 18 + ConsumersBasedUserTweetGraph = 19 + TweetBasedUserVideoGraph = 20 + CertoTopicTweet = 24 + ConsumersBasedUserAdGraph = 25 + TweetBasedUserAdGraph = 26 + SkitTfgTopicTweet = 27 + ConsumerBasedWalsANN = 28 + ProducerBasedUserAdGraph = 29 + SkitHighPrecisionTopicTweet = 30 + SkitInterestBrowserTopicTweet = 31 + SkitProducerBasedTopicTweet = 32 + ExploreTripOfflineSimClustersTweets = 33 + DiffusionBasedTweet = 34 + ConsumersBasedUserVideoGraph = 35 + + // In network + EarlybirdRecencyBasedSimilarityEngine = 21 + EarlybirdModelBasedSimilarityEngine = 22 + EarlybirdTensorflowBasedSimilarityEngine = 23 + // Composite + TweetBasedUnifiedSimilarityEngine = 1001 + ProducerBasedUnifiedSimilarityEngine = 1002 +} (persisted='true') diff --git a/cr-mixer/thrift/src/main/thrift/topic_tweet.thrift b/cr-mixer/thrift/src/main/thrift/topic_tweet.thrift new file mode 100644 index 000000000..46552d454 --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/topic_tweet.thrift @@ -0,0 +1,28 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "com/twitter/product_mixer/core/client_context.thrift" +include "product.thrift" +include "product_context.thrift" +include "source_type.thrift" + + +struct TopicTweetRequest { + 1: required client_context.ClientContext clientContext + 2: required product.Product product + 3: required list topicIds + 5: optional product_context.ProductContext productContext + 6: optional list excludedTweetIds (personalDataType = 'TweetId') +} (persisted='true', hasPersonalData='true') + +struct TopicTweet { + 1: required i64 tweetId (personalDataType = 'TweetId') + 2: required double score + 3: required source_type.SimilarityEngineType similarityEngineType +} (persisted='true', hasPersonalData = 'true') + +struct TopicTweetResponse { + 1: required map> tweets +} (persisted='true') + diff --git a/cr-mixer/thrift/src/main/thrift/uteg.thrift b/cr-mixer/thrift/src/main/thrift/uteg.thrift new file mode 100644 index 000000000..2f5c4198d --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/uteg.thrift @@ -0,0 +1,31 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +include "product.thrift" +include "product_context.thrift" + +include "com/twitter/product_mixer/core/client_context.thrift" +include "com/twitter/recos/recos_common.thrift" + +struct UtegTweetRequest { + 1: required client_context.ClientContext clientContext + 2: required product.Product product + # Product-specific parameters should be placed in the Product Context + 3: optional product_context.ProductContext productContext + 4: optional list excludedTweetIds (personalDataType = 'TweetId') +} (persisted='true', hasPersonalData='true') + +struct UtegTweet { + // tweet id + 1: required i64 tweetId(personalDataType = 'TweetId') + // sum of weights of seed users who engaged with the tweet. + // If a user engaged with the same tweet twice, liked it and retweeted it, then his/her weight was counted twice. + 2: required double score + // user social proofs per engagement type + 3: required map> socialProofByType(personalDataTypeKey='EngagementTypePrivate', personalDataTypeValue='UserId') +} (persisted='true', hasPersonalData = 'true') + +struct UtegTweetResponse { + 1: required list tweets +} (persisted='true') diff --git a/cr-mixer/thrift/src/main/thrift/validation.thrift b/cr-mixer/thrift/src/main/thrift/validation.thrift new file mode 100644 index 000000000..96a04be3c --- /dev/null +++ b/cr-mixer/thrift/src/main/thrift/validation.thrift @@ -0,0 +1,19 @@ +namespace java com.twitter.cr_mixer.thriftjava +#@namespace scala com.twitter.cr_mixer.thriftscala +#@namespace strato com.twitter.cr_mixer + +// ValidationErrorCode is used to identify classes of client errors returned from a Product Mixer +// service. 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At present, FRS supports Who-To-Follow (WTF) module recommendations across a variety of Twitter product interfaces. Additionally, by suggesting tweet authors, FRS also delivers FutureGraph tweet recommendations, which consist of tweets from accounts that users may be interested in following in the future. + +## Design +The system is tailored to accommodate diverse use cases, such as Post New-User-Experience (NUX), advertisements, FutureGraph tweets, and more. Each use case features a unique display location identifier. To view all display locations, refer to the following path: `follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/DisplayLocation.scala`. + +Recommendation steps are customized according to each display location. Common and high-level steps are encapsulated within the "RecommendationFlow," which includes operations like candidate generation, ranker selection, filtering, transformation, and beyond. To explore all flows, refer to this path: `follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows`. + +For each product (corresponding to a display location), one or multiple flows can be selected to generate candidates based on code and configurations. To view all products, refer to the following path: `follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs`. + +The FRS overview diagram is depicted below: + +![FRS_architecture.png](FRS_architecture.png) + + +### Candidate Generation +During this step, FRS utilizes various user signals and algorithms to identify candidates from all Twitter accounts. The candidate source folder is located at `follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/`, with a README file provided within each candidate source folder. + +### Filtering +In this phase, FRS applies different filtering logic after generating account candidates to improve quality and health. Filtering may occur before and/or after the ranking step, with heavier filtering logic (e.g., higher latency) typically applied after the ranking step. The filters' folder is located at `follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates`. + +### Ranking +During this step, FRS employs both Machine Learning (ML) and heuristic rule-based candidate ranking. For the ML ranker, ML features are fetched beforehand (i.e., feature hydration), +and a DataRecord (the Twitter-standard Machine Learning data format used to represent feature data, labels, and predictions when training or serving) is constructed for each pair. +These pairs are then sent to a separate ML prediction service, which houses the ML model trained offline. +The ML prediction service returns a prediction score, representing the probability that a user will follow and engage with the candidate. +This score is a weighted sum of p(follow|recommendation) and p(positive engagement|follow), and FRS uses this score to rank the candidates. + +The rankers' folder is located at `follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers`. + +### Transform +In this phase, the sequence of candidates undergoes necessary transformations, such as deduplication, attaching social proof (i.e., "followed by XX user"), adding tracking tokens, and more. +The transformers' folder can be found at `follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms`. + +### Truncation +During this final step, FRS trims the candidate pool to a specified size. This process ensures that only the most relevant and engaging candidates are presented to users while maintaining an optimal user experience. + +By implementing these comprehensive steps and adapting to various use cases, the Follow Recommendations Service (FRS) effectively curates tailored suggestions for Twitter users, enhancing their overall experience and promoting meaningful connections within the platform. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/BUILD new file mode 100644 index 000000000..d02506a85 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/BUILD @@ -0,0 +1,18 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/guava", + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "finagle/finagle-core/src/main", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/model", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation", + "stitch/stitch-core", + ], + exports = [ + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/CandidateSourceRegistry.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/CandidateSourceRegistry.scala new file mode 100644 index 000000000..ee9cfbbe5 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/CandidateSourceRegistry.scala @@ -0,0 +1,36 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.EnrichedCandidateSource.toEnriched +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier + +// a helper structure to register and select candidate sources based on identifiers +trait CandidateSourceRegistry[Target, Candidate] { + + val statsReceiver: StatsReceiver + + def sources: Set[CandidateSource[Target, Candidate]] + + final lazy val candidateSources: Map[ + CandidateSourceIdentifier, + CandidateSource[Target, Candidate] + ] = { + val map = sources.map { c => + c.identifier -> c.observe(statsReceiver) + }.toMap + + if (map.size != sources.size) { + throw new IllegalArgumentException("Duplicate Candidate Source Identifiers") + } + + map + } + + def select( + identifiers: Set[CandidateSourceIdentifier] + ): Set[CandidateSource[Target, Candidate]] = { + // fails loud if the candidate source is not registered + identifiers.map(candidateSources(_)) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/EnrichedCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/EnrichedCandidateSource.scala new file mode 100644 index 000000000..9d8507528 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/EnrichedCandidateSource.scala @@ -0,0 +1,164 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.stitch.Stitch +import com.twitter.util.Duration +import com.twitter.util.TimeoutException +import scala.language.implicitConversions + +class EnrichedCandidateSource[Target, Candidate](original: CandidateSource[Target, Candidate]) { + + /** + * Gate the candidate source based on the Predicate of target. + * It returns results only if the predicate returns Valid. + * + * @param predicate + * @return + */ + def gate(predicate: Predicate[Target]): CandidateSource[Target, Candidate] = { + throw new UnsupportedOperationException() + } + + def observe(statsReceiver: StatsReceiver): CandidateSource[Target, Candidate] = { + val originalIdentifier = original.identifier + val stats = statsReceiver.scope(originalIdentifier.name) + new CandidateSource[Target, Candidate] { + val identifier = originalIdentifier + override def apply(target: Target): Stitch[Seq[Candidate]] = { + StatsUtil.profileStitchSeqResults[Candidate](original(target), stats) + } + } + } + + /** + * Map target type into new target type (1 to optional mapping) + */ + def stitchMapKey[Target2]( + targetMapper: Target2 => Stitch[Option[Target]] + ): CandidateSource[Target2, Candidate] = { + val targetsMapper: Target2 => Stitch[Seq[Target]] = { target => + targetMapper(target).map(_.toSeq) + } + stitchMapKeys(targetsMapper) + } + + /** + * Map target type into new target type (1 to many mapping) + */ + def stitchMapKeys[Target2]( + targetMapper: Target2 => Stitch[Seq[Target]] + ): CandidateSource[Target2, Candidate] = { + new CandidateSource[Target2, Candidate] { + val identifier = original.identifier + override def apply(target: Target2): Stitch[Seq[Candidate]] = { + for { + mappedTargets <- targetMapper(target) + results <- Stitch.traverse(mappedTargets)(original(_)) + } yield results.flatten + } + } + } + + /** + * Map target type into new target type (1 to many mapping) + */ + def mapKeys[Target2]( + targetMapper: Target2 => Seq[Target] + ): CandidateSource[Target2, Candidate] = { + val stitchMapper: Target2 => Stitch[Seq[Target]] = { target => + Stitch.value(targetMapper(target)) + } + stitchMapKeys(stitchMapper) + } + + /** + * Map candidate types to new type based on candidateMapper + */ + def mapValues[Candidate2]( + candidateMapper: Candidate => Stitch[Option[Candidate2]] + ): CandidateSource[Target, Candidate2] = { + + new CandidateSource[Target, Candidate2] { + val identifier = original.identifier + override def apply(target: Target): Stitch[Seq[Candidate2]] = { + original(target).flatMap { candidates => + val results = Stitch.traverse(candidates)(candidateMapper(_)) + results.map(_.flatten) + } + } + } + } + + /** + * Map candidate types to new type based on candidateMapper + */ + def mapValue[Candidate2]( + candidateMapper: Candidate => Candidate2 + ): CandidateSource[Target, Candidate2] = { + val stitchMapper: Candidate => Stitch[Option[Candidate2]] = { c => + Stitch.value(Some(candidateMapper(c))) + } + mapValues(stitchMapper) + } + + /** + * This method wraps the candidate source in a designated timeout so that a single candidate + * source does not result in a timeout for the entire flow + */ + def within( + candidateTimeout: Duration, + statsReceiver: StatsReceiver + ): CandidateSource[Target, Candidate] = { + val originalIdentifier = original.identifier + val timeoutCounter = + statsReceiver.counter(originalIdentifier.name, "timeout") + + new CandidateSource[Target, Candidate] { + val identifier = originalIdentifier + override def apply(target: Target): Stitch[Seq[Candidate]] = { + original + .apply(target) + .within(candidateTimeout)(com.twitter.finagle.util.DefaultTimer) + .rescue { + case _: TimeoutException => + timeoutCounter.incr() + Stitch.Nil + } + } + } + } + + def failOpenWithin( + candidateTimeout: Duration, + statsReceiver: StatsReceiver + ): CandidateSource[Target, Candidate] = { + val originalIdentifier = original.identifier + val timeoutCounter = + statsReceiver.counter(originalIdentifier.name, "timeout") + + new CandidateSource[Target, Candidate] { + val identifier = originalIdentifier + override def apply(target: Target): Stitch[Seq[Candidate]] = { + original + .apply(target) + .within(candidateTimeout)(com.twitter.finagle.util.DefaultTimer) + .handle { + case _: TimeoutException => + timeoutCounter.incr() + Seq.empty + case e: Exception => + statsReceiver + .scope("candidate_source_error").scope(originalIdentifier.name).counter( + e.getClass.getSimpleName).incr + Seq.empty + } + } + } + } +} + +object EnrichedCandidateSource { + implicit def toEnriched[K, V](original: CandidateSource[K, V]): EnrichedCandidateSource[K, V] = + new EnrichedCandidateSource(original) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/ParamPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/ParamPredicate.scala new file mode 100644 index 000000000..f457527bc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/ParamPredicate.scala @@ -0,0 +1,17 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.follow_recommendations.common.models.FilterReason.ParamReason +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Param + +case class ParamPredicate[Request <: HasParams](param: Param[Boolean]) extends Predicate[Request] { + + def apply(request: Request): Stitch[PredicateResult] = { + if (request.params(param)) { + Stitch.value(PredicateResult.Valid) + } else { + Stitch.value(PredicateResult.Invalid(Set(ParamReason(param.statName)))) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Predicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Predicate.scala new file mode 100644 index 000000000..e5b40ed82 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Predicate.scala @@ -0,0 +1,282 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.stitch.Arrow +import com.twitter.stitch.Stitch + +trait Predicate[-Q] { + + def apply(item: Q): Stitch[PredicateResult] + def arrow: Arrow[Q, PredicateResult] = Arrow.apply(apply) + + def map[K](mapper: K => Q): Predicate[K] = Predicate(arrow.contramap(mapper)) + + /** + * check the predicate results for a batch of items for convenience. + * + * mark it as final to avoid potential abuse usage + */ + final def batch(items: Seq[Q]): Stitch[Seq[PredicateResult]] = { + this.arrow.traverse(items) + } + + /** + * Syntax sugar for functions which take in 2 inputs as a tuple. + */ + def apply[Q1, Q2](item1: Q1, item2: Q2)(implicit ev: ((Q1, Q2)) => Q): Stitch[PredicateResult] = { + apply((item1, item2)) + } + + /** + * Runs the predicates in sequence. The returned predicate will return true iff both the predicates return true. + * ie. it is an AND operation + * + * We short-circuit the evaluation, ie we don't evaluate the 2nd predicate if the 1st is false + * + * @param p predicate to run in sequence + * + * @return a new predicate object that represents the logical AND of both predicates + */ + def andThen[Q1 <: Q](p: Predicate[Q1]): Predicate[Q1] = { + Predicate({ query: Q1 => + apply(query).flatMap { + case PredicateResult.Valid => p(query) + case PredicateResult.Invalid(reasons) => Stitch.value(PredicateResult.Invalid(reasons)) + } + }) + } + + /** + * Creates a predicate which runs the current & given predicate in sequence. + * The returned predicate will return true if either current or given predicate returns true. + * That is, given predicate will be only run if current predicate returns false. + * + * @param p predicate to run in sequence + * + * @return new predicate object that represents the logical OR of both predicates. + * if both are invalid, the reason would be the set of all invalid reasons. + */ + def or[Q1 <: Q](p: Predicate[Q1]): Predicate[Q1] = { + Predicate({ query: Q1 => + apply(query).flatMap { + case PredicateResult.Valid => Stitch.value(PredicateResult.Valid) + case PredicateResult.Invalid(reasons) => + p(query).flatMap { + case PredicateResult.Valid => Stitch.value(PredicateResult.Valid) + case PredicateResult.Invalid(newReasons) => + Stitch.value(PredicateResult.Invalid(reasons ++ newReasons)) + } + } + }) + } + + /* + * Runs the predicate only if the provided predicate is valid, otherwise returns valid. + * */ + def gate[Q1 <: Q](gatingPredicate: Predicate[Q1]): Predicate[Q1] = { + Predicate { query: Q1 => + gatingPredicate(query).flatMap { result => + if (result == PredicateResult.Valid) { + apply(query) + } else { + Stitch.value(PredicateResult.Valid) + } + } + } + } + + def observe(statsReceiver: StatsReceiver): Predicate[Q] = Predicate( + StatsUtil.profilePredicateResult(this.arrow, statsReceiver)) + + def convertToFailOpenWithResultType(resultType: PredicateResult): Predicate[Q] = { + Predicate { query: Q => + apply(query).handle { + case _: Exception => + resultType + } + + } + } + +} + +class TruePredicate[Q] extends Predicate[Q] { + override def apply(item: Q): Stitch[PredicateResult] = Predicate.AlwaysTrueStitch +} + +class FalsePredicate[Q](reason: FilterReason) extends Predicate[Q] { + val InvalidResult = Stitch.value(PredicateResult.Invalid(Set(reason))) + override def apply(item: Q): Stitch[PredicateResult] = InvalidResult +} + +object Predicate { + + val AlwaysTrueStitch = Stitch.value(PredicateResult.Valid) + + val NumBatchesStat = "num_batches_stats" + val NumBatchesCount = "num_batches" + + def apply[Q](func: Q => Stitch[PredicateResult]): Predicate[Q] = new Predicate[Q] { + override def apply(item: Q): Stitch[PredicateResult] = func(item) + + override val arrow: Arrow[Q, PredicateResult] = Arrow(func) + } + + def apply[Q](outerArrow: Arrow[Q, PredicateResult]): Predicate[Q] = new Predicate[Q] { + override def apply(item: Q): Stitch[PredicateResult] = arrow(item) + + override val arrow: Arrow[Q, PredicateResult] = outerArrow + } + + /** + * Given some items, this function + * 1. chunks them up in groups + * 2. lazily applies a predicate on each group + * 3. filters based on the predicate + * 4. takes first numToTake items. + * + * If numToTake is satisfied, then any later predicates are not called. + * + * @param items items of type Q + * @param predicate predicate that determines whether an item is acceptable + * @param batchSize batch size to call the predicate with + * @param numToTake max number of items to return + * @param stats stats receiver + * @tparam Q type of item + * + * @return a future of K items + */ + def batchFilterTake[Q]( + items: Seq[Q], + predicate: Predicate[Q], + batchSize: Int, + numToTake: Int, + stats: StatsReceiver + ): Stitch[Seq[Q]] = { + + def take( + input: Iterator[Stitch[Seq[Q]]], + prev: Seq[Q], + takeSize: Int, + numOfBatch: Int + ): Stitch[(Seq[Q], Int)] = { + if (input.hasNext) { + val currFut = input.next() + currFut.flatMap { curr => + val taken = curr.take(takeSize) + val combined = prev ++ taken + if (taken.size < takeSize) + take(input, combined, takeSize - taken.size, numOfBatch + 1) + else Stitch.value((combined, numOfBatch + 1)) + } + } else { + Stitch.value((prev, numOfBatch)) + } + } + + val batchedItems = items.view.grouped(batchSize) + val batchedFutures = batchedItems.map { batch => + Stitch.traverse(batch)(predicate.apply).map { conds => + (batch.zip(conds)).withFilter(_._2.value).map(_._1) + } + } + take(batchedFutures, Nil, numToTake, 0).map { + case (filtered: Seq[Q], numOfBatch: Int) => + stats.stat(NumBatchesStat).add(numOfBatch) + stats.counter(NumBatchesCount).incr(numOfBatch) + filtered + } + } + + /** + * filter a list of items based on the predicate + * + * @param items a list of items + * @param predicate predicate of the item + * @tparam Q item type + * @return the list of items that satisfy the predicate + */ + def filter[Q](items: Seq[Q], predicate: Predicate[Q]): Stitch[Seq[Q]] = { + predicate.batch(items).map { results => + items.zip(results).collect { + case (item, PredicateResult.Valid) => item + } + } + } + + /** + * filter a list of items based on the predicate given the target + * + * @param target target item + * @param items a list of items + * @param predicate predicate of the (target, item) pair + * @tparam Q item type + * @return the list of items that satisfy the predicate given the target + */ + def filter[T, Q](target: T, items: Seq[Q], predicate: Predicate[(T, Q)]): Stitch[Seq[Q]] = { + predicate.batch(items.map(i => (target, i))).map { results => + items.zip(results).collect { + case (item, PredicateResult.Valid) => item + } + } + } + + /** + * Returns a predicate, where an element is true iff it that element is true for all input predicates. + * ie. it is an AND operation + * + * This is done concurrently. + * + * @param predicates list of predicates + * @tparam Q Type parameter + * + * @return new predicate object that is the logical "and" of the input predicates + */ + def andConcurrently[Q](predicates: Seq[Predicate[Q]]): Predicate[Q] = { + Predicate { query: Q => + Stitch.traverse(predicates)(p => p(query)).map { predicateResults => + val allInvalid = predicateResults + .collect { + case PredicateResult.Invalid(reason) => + reason + } + if (allInvalid.isEmpty) { + PredicateResult.Valid + } else { + val allInvalidReasons = allInvalid.reduce(_ ++ _) + PredicateResult.Invalid(allInvalidReasons) + } + } + } + } +} + +/** + * applies the underlying predicate when the param is on. + */ +abstract class GatedPredicateBase[Q]( + underlyingPredicate: Predicate[Q], + stats: StatsReceiver = NullStatsReceiver) + extends Predicate[Q] { + def gate(item: Q): Boolean + + val underlyingPredicateTotal = stats.counter("underlying_total") + val underlyingPredicateValid = stats.counter("underlying_valid") + val underlyingPredicateInvalid = stats.counter("underlying_invalid") + val notGatedCounter = stats.counter("not_gated") + + val ValidStitch: Stitch[PredicateResult.Valid.type] = Stitch.value(PredicateResult.Valid) + + override def apply(item: Q): Stitch[PredicateResult] = { + if (gate(item)) { + underlyingPredicateTotal.incr() + underlyingPredicate(item) + } else { + notGatedCounter.incr() + ValidStitch + } + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/PredicateResult.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/PredicateResult.scala new file mode 100644 index 000000000..002e90275 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/PredicateResult.scala @@ -0,0 +1,18 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.follow_recommendations.common.models.FilterReason + +sealed trait PredicateResult { + def value: Boolean +} + +object PredicateResult { + + case object Valid extends PredicateResult { + override val value = true + } + + case class Invalid(reasons: Set[FilterReason] = Set.empty[FilterReason]) extends PredicateResult { + override val value = false + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Ranker.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Ranker.scala new file mode 100644 index 000000000..27eb50457 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Ranker.scala @@ -0,0 +1,90 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.stitch.Stitch +import com.twitter.util.Duration +import com.twitter.util.TimeoutException + +/** + * Ranker is a special kind of transform that would only change the order of a list of items. + * If a single item is given, it "may" attach additional scoring information to the item. + * + * @tparam Target target to recommend the candidates + * @tparam Candidate candidate type to rank + */ +trait Ranker[Target, Candidate] extends Transform[Target, Candidate] { ranker => + + def rank(target: Target, candidates: Seq[Candidate]): Stitch[Seq[Candidate]] + + override def transform(target: Target, candidates: Seq[Candidate]): Stitch[Seq[Candidate]] = { + rank(target, candidates) + } + + override def observe(statsReceiver: StatsReceiver): Ranker[Target, Candidate] = { + val originalRanker = this + new Ranker[Target, Candidate] { + override def rank(target: Target, items: Seq[Candidate]): Stitch[Seq[Candidate]] = { + statsReceiver.counter(Transform.InputCandidatesCount).incr(items.size) + statsReceiver.stat(Transform.InputCandidatesStat).add(items.size) + StatsUtil.profileStitchSeqResults(originalRanker.rank(target, items), statsReceiver) + } + } + } + + def reverse: Ranker[Target, Candidate] = new Ranker[Target, Candidate] { + def rank(target: Target, candidates: Seq[Candidate]): Stitch[Seq[Candidate]] = + ranker.rank(target, candidates).map(_.reverse) + } + + def andThen(other: Ranker[Target, Candidate]): Ranker[Target, Candidate] = { + val original = this + new Ranker[Target, Candidate] { + def rank(target: Target, candidates: Seq[Candidate]): Stitch[Seq[Candidate]] = { + original.rank(target, candidates).flatMap { results => other.rank(target, results) } + } + } + } + + /** + * This method wraps the Ranker in a designated timeout. + * If the ranker timeouts, it would return the original candidates directly, + * instead of failing the whole recommendation flow + */ + def within(timeout: Duration, statsReceiver: StatsReceiver): Ranker[Target, Candidate] = { + val timeoutCounter = statsReceiver.counter("timeout") + val original = this + new Ranker[Target, Candidate] { + override def rank(target: Target, candidates: Seq[Candidate]): Stitch[Seq[Candidate]] = { + original + .rank(target, candidates) + .within(timeout)(com.twitter.finagle.util.DefaultTimer) + .rescue { + case _: TimeoutException => + timeoutCounter.incr() + Stitch.value(candidates) + } + } + } + } +} + +object Ranker { + + def chain[Target, Candidate]( + transformer: Transform[Target, Candidate], + ranker: Ranker[Target, Candidate] + ): Ranker[Target, Candidate] = { + new Ranker[Target, Candidate] { + def rank(target: Target, candidates: Seq[Candidate]): Stitch[Seq[Candidate]] = { + transformer + .transform(target, candidates) + .flatMap { results => ranker.rank(target, results) } + } + } + } +} + +class IdentityRanker[Target, Candidate] extends Ranker[Target, Candidate] { + def rank(target: Target, candidates: Seq[Candidate]): Stitch[Seq[Candidate]] = + Stitch.value(candidates) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/RecommendationFlow.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/RecommendationFlow.scala new file mode 100644 index 000000000..6bddc9751 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/RecommendationFlow.scala @@ -0,0 +1,250 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.RecommendationPipelineIdentifier +import com.twitter.product_mixer.core.pipeline.recommendation.RecommendationPipelineResult +import com.twitter.product_mixer.core.quality_factor.QualityFactorObserver +import com.twitter.stitch.Stitch + +/** + * configs for results generated from the recommendation flow + * + * @param desiredCandidateCount num of desired candidates to return + * @param batchForCandidatesCheck batch size for candidates check + */ +case class RecommendationResultsConfig(desiredCandidateCount: Int, batchForCandidatesCheck: Int) + +trait BaseRecommendationFlow[Target, Candidate <: UniversalNoun[Long]] { + val identifier = RecommendationPipelineIdentifier("RecommendationFlow") + + def process( + pipelineRequest: Target + ): Stitch[RecommendationPipelineResult[Candidate, Seq[Candidate]]] + + def mapKey[Target2](fn: Target2 => Target): BaseRecommendationFlow[Target2, Candidate] = { + val original = this + new BaseRecommendationFlow[Target2, Candidate] { + override def process( + pipelineRequest: Target2 + ): Stitch[RecommendationPipelineResult[Candidate, Seq[Candidate]]] = + original.process(fn(pipelineRequest)) + } + } +} + +/** + * Defines a typical recommendation flow to fetch, filter, rank and transform candidates. + * + * 1. targetEligibility: determine the eligibility of target request + * 2. candidateSources: fetch candidates from candidate sources based on target type + * 3. preRankerCandidateFilter: light filtering of candidates + * 4. ranker: ranking of candidates (could be composed of multiple stages, light ranking, heavy ranking and etc) + * 5. postRankerTransform: deduping, grouping, rule based promotion / demotions and etc + * 6. validateCandidates: heavy filters to determine the eligibility of the candidates. + * will only be applied to candidates that we expect to return. + * 7. transformResults: transform the individual candidates into desired format (e.g. hydrate social proof) + * + * Note that the actual implementations may not need to implement all the steps if not needed + * (could just leave to IdentityRanker if ranking is not needed). + * + * Theoretically, the actual implementation could override the above flow to add + * more steps (e.g. add a transform step before ranking). + * But it is recommended to add the additional steps into this base flow if the step proves + * to have significant justification, or merge it into an existing step if it is a minor change. + * + * @tparam Target type of target request + * @tparam Candidate type of candidate to return + */ +trait RecommendationFlow[Target, Candidate <: UniversalNoun[Long]] + extends BaseRecommendationFlow[Target, Candidate] + with SideEffectsUtil[Target, Candidate] { + + /** + * optionally update or enrich the request before executing the flows + */ + protected def updateTarget(target: Target): Stitch[Target] = Stitch.value(target) + + /** + * check if the target is eligible for the flow + */ + protected def targetEligibility: Predicate[Target] + + /** + * define the candidate sources that should be used for the given target + */ + protected def candidateSources(target: Target): Seq[CandidateSource[Target, Candidate]] + + /** + * filter invalid candidates before the ranking phase. + */ + protected def preRankerCandidateFilter: Predicate[(Target, Candidate)] + + /** + * rank the candidates + */ + protected def selectRanker(target: Target): Ranker[Target, Candidate] + + /** + * transform the candidates after ranking (e.g. dedupping, grouping and etc) + */ + protected def postRankerTransform: Transform[Target, Candidate] + + /** + * filter invalid candidates before returning the results. + * + * Some heavy filters e.g. SGS filter could be applied in this step + */ + protected def validateCandidates: Predicate[(Target, Candidate)] + + /** + * transform the candidates into results and return + */ + protected def transformResults: Transform[Target, Candidate] + + /** + * configuration for recommendation results + */ + protected def resultsConfig(target: Target): RecommendationResultsConfig + + /** + * track the quality factor the recommendation pipeline + */ + protected def qualityFactorObserver: Option[QualityFactorObserver] = None + + def statsReceiver: StatsReceiver + + /** + * high level monitoring for the whole flow + * (make sure to add monitoring for each individual component by yourself) + * + * additional candidates: count, stats, non_empty_count + * target eligibility: latency, success, failures, request, count, valid_count, invalid_count, invalid_reasons + * candidate generation: latency, success, failures, request, count, non_empty_count, results_stat + * pre ranker filter: latency, success, failures, request, count, non_empty_count, results_stat + * ranker: latency, success, failures, request, count, non_empty_count, results_stat + * post ranker: latency, success, failures, request, count, non_empty_count, results_stat + * filter and take: latency, success, failures, request, count, non_empty_count, results_stat, batch count + * transform results: latency, success, failures, request, count, non_empty_count, results_stat + */ + import RecommendationFlow._ + lazy val additionalCandidatesStats = statsReceiver.scope(AdditionalCandidatesStats) + lazy val targetEligibilityStats = statsReceiver.scope(TargetEligibilityStats) + lazy val candidateGenerationStats = statsReceiver.scope(CandidateGenerationStats) + lazy val preRankerFilterStats = statsReceiver.scope(PreRankerFilterStats) + lazy val rankerStats = statsReceiver.scope(RankerStats) + lazy val postRankerTransformStats = statsReceiver.scope(PostRankerTransformStats) + lazy val filterAndTakeStats = statsReceiver.scope(FilterAndTakeStats) + lazy val transformResultsStats = statsReceiver.scope(TransformResultsStats) + + lazy val overallStats = statsReceiver.scope(OverallStats) + + import StatsUtil._ + + override def process( + pipelineRequest: Target + ): Stitch[RecommendationPipelineResult[Candidate, Seq[Candidate]]] = { + + observeStitchQualityFactor( + profileStitchSeqResults( + updateTarget(pipelineRequest).flatMap { target => + profilePredicateResult(targetEligibility(target), targetEligibilityStats).flatMap { + case PredicateResult.Valid => processValidTarget(target, Seq.empty) + case PredicateResult.Invalid(_) => Stitch.Nil + } + }, + overallStats + ).map { candidates => + RecommendationPipelineResult.empty.withResult(candidates) + }, + qualityFactorObserver, + overallStats + ) + } + + protected def processValidTarget( + target: Target, + additionalCandidates: Seq[Candidate] + ): Stitch[Seq[Candidate]] = { + + /** + * A basic recommendation flow looks like this: + * + * 1. fetch candidates from candidate sources + * 2. blend candidates with existing candidates + * 3. filter the candidates (light filters) before ranking + * 4. ranking + * 5. filter and truncate the candidates using postRankerCandidateFilter + * 6. transform the candidates based on product requirement + */ + val candidateSourcesToFetch = candidateSources(target) + for { + candidates <- profileStitchSeqResults( + Stitch.traverse(candidateSourcesToFetch)(_(target)).map(_.flatten), + candidateGenerationStats + ) + mergedCandidates = + profileSeqResults(additionalCandidates, additionalCandidatesStats) ++ + candidates + filteredCandidates <- profileStitchSeqResults( + Predicate.filter(target, mergedCandidates, preRankerCandidateFilter), + preRankerFilterStats + ) + rankedCandidates <- profileStitchSeqResults( + selectRanker(target).rank(target, filteredCandidates), + rankerStats + ) + transformed <- profileStitchSeqResults( + postRankerTransform.transform(target, rankedCandidates), + postRankerTransformStats + ) + truncated <- profileStitchSeqResults( + take(target, transformed, resultsConfig(target)), + filterAndTakeStats + ) + results <- profileStitchSeqResults( + transformResults.transform(target, truncated), + transformResultsStats + ) + _ <- applySideEffects( + target, + candidateSourcesToFetch, + candidates, + mergedCandidates, + filteredCandidates, + rankedCandidates, + transformed, + truncated, + results) + } yield results + } + + private[this] def take( + target: Target, + candidates: Seq[Candidate], + config: RecommendationResultsConfig + ): Stitch[Seq[Candidate]] = { + Predicate + .batchFilterTake( + candidates.map(c => (target, c)), + validateCandidates, + config.batchForCandidatesCheck, + config.desiredCandidateCount, + statsReceiver + ).map(_.map(_._2)) + } +} + +object RecommendationFlow { + + val AdditionalCandidatesStats = "additional_candidates" + val TargetEligibilityStats = "target_eligibility" + val CandidateGenerationStats = "candidate_generation" + val PreRankerFilterStats = "pre_ranker_filter" + val RankerStats = "ranker" + val PostRankerTransformStats = "post_ranker_transform" + val FilterAndTakeStats = "filter_and_take" + val TransformResultsStats = "transform_results" + val OverallStats = "overall" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/SideEffectsUtil.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/SideEffectsUtil.scala new file mode 100644 index 000000000..2c922f580 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/SideEffectsUtil.scala @@ -0,0 +1,24 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.stitch.Stitch + +/** + * SideEffectsUtil applies side effects to the intermediate candidate results from a recommendation flow pipeline. + * + * @tparam Target target to recommend the candidates + * @tparam Candidate candidate type to rank + */ +trait SideEffectsUtil[Target, Candidate] { + def applySideEffects( + target: Target, + candidateSources: Seq[CandidateSource[Target, Candidate]], + candidatesFromCandidateSources: Seq[Candidate], + mergedCandidates: Seq[Candidate], + filteredCandidates: Seq[Candidate], + rankedCandidates: Seq[Candidate], + transformedCandidates: Seq[Candidate], + truncatedCandidates: Seq[Candidate], + results: Seq[Candidate] + ): Stitch[Unit] = Stitch.Unit +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/StatsUtil.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/StatsUtil.scala new file mode 100644 index 000000000..eb99a909e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/StatsUtil.scala @@ -0,0 +1,272 @@ +package com.twitter.follow_recommendations.common.base +import com.twitter.finagle.stats.Stat +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.product_mixer.core.quality_factor.QualityFactorObserver +import com.twitter.stitch.Arrow +import com.twitter.stitch.Stitch +import com.twitter.util.Stopwatch +import java.util.concurrent.TimeUnit +import scala.util.control.NonFatal + +object StatsUtil { + val LatencyName = "latency_ms" + val RequestName = "requests" + val SuccessName = "success" + val FailureName = "failures" + val ResultsName = "results" + val ResultsStat = "results_stat" + val EmptyResultsName = "empty" + val NonEmptyResultsName = "non_empty" + val ValidCount = "valid" + val InvalidCount = "invalid" + val InvalidHasReasons = "has_reasons" + val Reasons = "reasons" + val QualityFactorStat = "quality_factor_stat" + val QualityFactorCounts = "quality_factor_counts" + + /** + * Helper function for timing a stitch, returning the original stitch. + */ + def profileStitch[T](stitch: Stitch[T], stat: StatsReceiver): Stitch[T] = { + + Stitch + .time(stitch) + .map { + case (response, stitchRunDuration) => + stat.counter(RequestName).incr() + stat.stat(LatencyName).add(stitchRunDuration.inMilliseconds) + response + .onSuccess { _ => stat.counter(SuccessName).incr() } + .onFailure { e => + stat.counter(FailureName).incr() + stat.scope(FailureName).counter(getCleanClassName(e)).incr() + } + } + .lowerFromTry + } + + /** + * Helper function for timing an arrow, returning the original arrow. + */ + def profileArrow[T, U](arrow: Arrow[T, U], stat: StatsReceiver): Arrow[T, U] = { + + Arrow + .time(arrow) + .map { + case (response, stitchRunDuration) => + stat.counter(RequestName).incr() + stat.stat(LatencyName).add(stitchRunDuration.inMilliseconds) + response + .onSuccess { _ => stat.counter(SuccessName).incr() } + .onFailure { e => + stat.counter(FailureName).incr() + stat.scope(FailureName).counter(getCleanClassName(e)).incr() + } + } + .lowerFromTry + } + + /** + * Helper function to count and track the distribution of results + */ + def profileResults[T](results: T, stat: StatsReceiver, size: T => Int): T = { + val numResults = size(results) + stat.counter(ResultsName).incr(numResults) + if (numResults == 0) { + stat.counter(EmptyResultsName).incr() + results + } else { + stat.stat(ResultsStat).add(numResults) + stat.counter(NonEmptyResultsName).incr() + results + } + } + + /** + * Helper function to count and track the distribution of a list of results + */ + def profileSeqResults[T](results: Seq[T], stat: StatsReceiver): Seq[T] = { + profileResults[Seq[T]](results, stat, _.size) + } + + /** + * Helper function for timing a stitch and count the number of results, returning the original stitch. + */ + def profileStitchResults[T](stitch: Stitch[T], stat: StatsReceiver, size: T => Int): Stitch[T] = { + profileStitch(stitch, stat).onSuccess { results => profileResults(results, stat, size) } + } + + /** + * Helper function for timing an arrow and count the number of results, returning the original arrow. + */ + def profileArrowResults[T, U]( + arrow: Arrow[T, U], + stat: StatsReceiver, + size: U => Int + ): Arrow[T, U] = { + profileArrow(arrow, stat).onSuccess { results => profileResults(results, stat, size) } + } + + /** + * Helper function for timing a stitch and count a seq of results, returning the original stitch. + */ + def profileStitchSeqResults[T](stitch: Stitch[Seq[T]], stat: StatsReceiver): Stitch[Seq[T]] = { + profileStitchResults[Seq[T]](stitch, stat, _.size) + } + + /** + * Helper function for timing a stitch and count optional results, returning the original stitch. + */ + def profileStitchOptionalResults[T]( + stitch: Stitch[Option[T]], + stat: StatsReceiver + ): Stitch[Option[T]] = { + profileStitchResults[Option[T]](stitch, stat, _.size) + } + + /** + * Helper function for timing a stitch and count a map of results, returning the original stitch. + */ + def profileStitchMapResults[K, V]( + stitch: Stitch[Map[K, V]], + stat: StatsReceiver + ): Stitch[Map[K, V]] = { + profileStitchResults[Map[K, V]](stitch, stat, _.size) + } + + def getCleanClassName(obj: Object): String = + obj.getClass.getSimpleName.stripSuffix("$") + + /** + * Helper function for timing a stitch and count a list of PredicateResult + */ + def profilePredicateResults( + predicateResult: Stitch[Seq[PredicateResult]], + statsReceiver: StatsReceiver + ): Stitch[Seq[PredicateResult]] = { + profileStitch[Seq[PredicateResult]]( + predicateResult, + statsReceiver + ).onSuccess { + _.map { + case PredicateResult.Valid => + statsReceiver.counter(ValidCount).incr() + case PredicateResult.Invalid(reasons) => + statsReceiver.counter(InvalidCount).incr() + reasons.map { filterReason => + statsReceiver.counter(InvalidHasReasons).incr() + statsReceiver.scope(Reasons).counter(filterReason.reason).incr() + } + } + } + } + + /** + * Helper function for timing a stitch and count individual PredicateResult + */ + def profilePredicateResult( + predicateResult: Stitch[PredicateResult], + statsReceiver: StatsReceiver + ): Stitch[PredicateResult] = { + profilePredicateResults( + predicateResult.map(Seq(_)), + statsReceiver + ).map(_.head) + } + + /** + * Helper function for timing an arrow and count a list of PredicateResult + */ + def profilePredicateResults[Q]( + predicateResult: Arrow[Q, Seq[PredicateResult]], + statsReceiver: StatsReceiver + ): Arrow[Q, Seq[PredicateResult]] = { + profileArrow[Q, Seq[PredicateResult]]( + predicateResult, + statsReceiver + ).onSuccess { + _.map { + case PredicateResult.Valid => + statsReceiver.counter(ValidCount).incr() + case PredicateResult.Invalid(reasons) => + statsReceiver.counter(InvalidCount).incr() + reasons.map { filterReason => + statsReceiver.counter(InvalidHasReasons).incr() + statsReceiver.scope(Reasons).counter(filterReason.reason).incr() + } + } + } + } + + /** + * Helper function for timing an arrow and count individual PredicateResult + */ + def profilePredicateResult[Q]( + predicateResult: Arrow[Q, PredicateResult], + statsReceiver: StatsReceiver + ): Arrow[Q, PredicateResult] = { + profilePredicateResults( + predicateResult.map(Seq(_)), + statsReceiver + ).map(_.head) + } + + /** + * Helper function for timing a stitch code block + */ + def profileStitchSeqResults[T]( + stats: StatsReceiver + )( + block: => Stitch[Seq[T]] + ): Stitch[Seq[T]] = { + stats.counter(RequestName).incr() + profileStitch(stats.stat(LatencyName), TimeUnit.MILLISECONDS) { + block onSuccess { r => + if (r.isEmpty) stats.counter(EmptyResultsName).incr() + stats.stat(ResultsStat).add(r.size) + } onFailure { e => + { + stats.counter(FailureName).incr() + stats.scope(FailureName).counter(e.getClass.getName).incr() + } + } + } + } + + /** + * Time a given asynchronous `f` using the given `unit`. + */ + def profileStitch[A](stat: Stat, unit: TimeUnit)(f: => Stitch[A]): Stitch[A] = { + val start = Stopwatch.timeNanos() + try { + f.respond { _ => stat.add(unit.convert(Stopwatch.timeNanos() - start, TimeUnit.NANOSECONDS)) } + } catch { + case NonFatal(e) => + stat.add(unit.convert(Stopwatch.timeNanos() - start, TimeUnit.NANOSECONDS)) + Stitch.exception(e) + } + } + + def observeStitchQualityFactor[T]( + stitch: Stitch[T], + qualityFactorObserverOption: Option[QualityFactorObserver], + statsReceiver: StatsReceiver + ): Stitch[T] = { + qualityFactorObserverOption + .map { observer => + Stitch + .time(stitch) + .map { + case (response, stitchRunDuration) => + observer(response, stitchRunDuration) + val qfVal = observer.qualityFactor.currentValue.floatValue() * 10000 + statsReceiver.counter(QualityFactorCounts).incr() + statsReceiver + .stat(QualityFactorStat) + .add(qfVal) + response + } + .lowerFromTry + }.getOrElse(stitch) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Transform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Transform.scala new file mode 100644 index 000000000..c870db2f6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base/Transform.scala @@ -0,0 +1,85 @@ +package com.twitter.follow_recommendations.common.base + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Param + +/** + * transform a or a list of candidate for target T + * + * @tparam T target type + * @tparam C candidate type + */ +trait Transform[-T, C] { + + // you need to implement at least one of the two methods here. + def transformItem(target: T, item: C): Stitch[C] = { + transform(target, Seq(item)).map(_.head) + } + + def transform(target: T, items: Seq[C]): Stitch[Seq[C]] + + def mapTarget[T2](mapper: T2 => T): Transform[T2, C] = { + val original = this + new Transform[T2, C] { + override def transformItem(target: T2, item: C): Stitch[C] = { + original.transformItem(mapper(target), item) + } + override def transform(target: T2, items: Seq[C]): Stitch[Seq[C]] = { + original.transform(mapper(target), items) + } + } + } + + /** + * sequential composition. we execute this' transform first, followed by the other's transform + */ + def andThen[T1 <: T](other: Transform[T1, C]): Transform[T1, C] = { + val original = this + new Transform[T1, C] { + override def transformItem(target: T1, item: C): Stitch[C] = + original.transformItem(target, item).flatMap(other.transformItem(target, _)) + override def transform(target: T1, items: Seq[C]): Stitch[Seq[C]] = + original.transform(target, items).flatMap(other.transform(target, _)) + } + } + + def observe(statsReceiver: StatsReceiver): Transform[T, C] = { + val originalTransform = this + new Transform[T, C] { + override def transform(target: T, items: Seq[C]): Stitch[Seq[C]] = { + statsReceiver.counter(Transform.InputCandidatesCount).incr(items.size) + statsReceiver.stat(Transform.InputCandidatesStat).add(items.size) + StatsUtil.profileStitchSeqResults(originalTransform.transform(target, items), statsReceiver) + } + + override def transformItem(target: T, item: C): Stitch[C] = { + statsReceiver.counter(Transform.InputCandidatesCount).incr() + StatsUtil.profileStitch(originalTransform.transformItem(target, item), statsReceiver) + } + } + } +} + +trait GatedTransform[T <: HasParams, C] extends Transform[T, C] { + def gated(param: Param[Boolean]): Transform[T, C] = { + val original = this + (target: T, items: Seq[C]) => { + if (target.params(param)) { + original.transform(target, items) + } else { + Stitch.value(items) + } + } + } +} + +object Transform { + val InputCandidatesCount = "input_candidates" + val InputCandidatesStat = "input_candidates_stat" +} + +class IdentityTransform[T, C] extends Transform[T, C] { + override def transform(target: T, items: Seq[C]): Stitch[Seq[C]] = Stitch.value(items) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/AddressBookParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/AddressBookParams.scala new file mode 100644 index 000000000..f93a60d1b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/AddressBookParams.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.common.candidate_sources.addressbook + +import com.twitter.timelines.configapi.FSParam + +object AddressBookParams { + // Used by display locations that want only to read from the ABV2 Client and ignore Manhattan + // Currently the only display location that does this is the ABUploadInjection DisplayLocation + object ReadFromABV2Only extends FSParam[Boolean]("addressbook_read_only_from_abv2", false) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/BUILD new file mode 100644 index 000000000..ddbabad19 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/BUILD @@ -0,0 +1,27 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "src/thrift/com/twitter/hermit/candidate:hermit-candidate-scala", + "src/thrift/com/twitter/hermit/usercontacts:hermit-usercontacts-scala", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ForwardEmailBookSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ForwardEmailBookSource.scala new file mode 100644 index 000000000..d291459ce --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ForwardEmailBookSource.scala @@ -0,0 +1,74 @@ +package com.twitter.follow_recommendations.common.candidate_sources.addressbook + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.AddressBookParams.ReadFromABV2Only +import com.twitter.follow_recommendations.common.clients.addressbook.AddressbookClient +import com.twitter.follow_recommendations.common.clients.addressbook.models.EdgeType +import com.twitter.follow_recommendations.common.clients.addressbook.models.RecordIdentifier +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueWithStats +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.ForwardEmailBookClientColumn +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ForwardEmailBookSource @Inject() ( + forwardEmailBookClientColumn: ForwardEmailBookClientColumn, + addressBookClient: AddressbookClient, + statsReceiver: StatsReceiver = NullStatsReceiver) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] { + + override val identifier: CandidateSourceIdentifier = + ForwardEmailBookSource.Identifier + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getSimpleName) + + /** + * Generate a list of candidates for the target + */ + override def apply( + target: HasParams with HasClientContext + ): Stitch[Seq[CandidateUser]] = { + val candidateUsers: Stitch[Seq[Long]] = target.getOptionalUserId + .map { userId => + rescueWithStats( + addressBookClient.getUsers( + userId = userId, + identifiers = + Seq(RecordIdentifier(userId = Some(userId), email = None, phoneNumber = None)), + batchSize = AddressbookClient.AddressBook2BatchSize, + edgeType = ForwardEmailBookSource.DefaultEdgeType, + fetcherOption = + if (target.params.apply(ReadFromABV2Only)) None + else Some(forwardEmailBookClientColumn.fetcher), + queryOption = AddressbookClient + .createQueryOption( + edgeType = ForwardEmailBookSource.DefaultEdgeType, + isPhone = ForwardEmailBookSource.IsPhone) + ), + stats, + "AddressBookClient" + ) + }.getOrElse(Stitch.Nil) + + candidateUsers + .map( + _.take(ForwardEmailBookSource.NumEmailBookEntries) + .map(CandidateUser(_, score = Some(CandidateUser.DefaultCandidateScore)) + .withCandidateSource(identifier))) + } +} + +object ForwardEmailBookSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.ForwardEmailBook.toString) + val NumEmailBookEntries: Int = 1000 + val IsPhone = false + val DefaultEdgeType: EdgeType = EdgeType.Forward +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ForwardPhoneBookSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ForwardPhoneBookSource.scala new file mode 100644 index 000000000..bb1f61f05 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ForwardPhoneBookSource.scala @@ -0,0 +1,72 @@ +package com.twitter.follow_recommendations.common.candidate_sources.addressbook + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.AddressBookParams.ReadFromABV2Only +import com.twitter.follow_recommendations.common.clients.addressbook.AddressbookClient +import com.twitter.follow_recommendations.common.clients.addressbook.models.EdgeType +import com.twitter.follow_recommendations.common.clients.addressbook.models.RecordIdentifier +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueWithStats +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.ForwardPhoneContactsClientColumn +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ForwardPhoneBookSource @Inject() ( + forwardPhoneContactsClientColumn: ForwardPhoneContactsClientColumn, + addressBookClient: AddressbookClient, + statsReceiver: StatsReceiver = NullStatsReceiver) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] { + + override val identifier: CandidateSourceIdentifier = + ForwardPhoneBookSource.Identifier + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getSimpleName) + + /** + * Generate a list of candidates for the target + */ + override def apply(target: HasParams with HasClientContext): Stitch[Seq[CandidateUser]] = { + val candidateUsers: Stitch[Seq[Long]] = target.getOptionalUserId + .map { userId => + rescueWithStats( + addressBookClient.getUsers( + userId, + identifiers = + Seq(RecordIdentifier(userId = Some(userId), email = None, phoneNumber = None)), + batchSize = AddressbookClient.AddressBook2BatchSize, + edgeType = ForwardPhoneBookSource.DefaultEdgeType, + fetcherOption = + if (target.params.apply(ReadFromABV2Only)) None + else Some(forwardPhoneContactsClientColumn.fetcher), + queryOption = AddressbookClient + .createQueryOption( + edgeType = ForwardPhoneBookSource.DefaultEdgeType, + isPhone = ForwardPhoneBookSource.IsPhone) + ), + stats, + "AddressBookClient" + ) + }.getOrElse(Stitch.Nil) + + candidateUsers + .map( + _.take(ForwardPhoneBookSource.NumPhoneBookEntries) + .map(CandidateUser(_, score = Some(CandidateUser.DefaultCandidateScore)) + .withCandidateSource(identifier))) + } +} + +object ForwardPhoneBookSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.ForwardPhoneBook.toString) + val NumPhoneBookEntries: Int = 1000 + val IsPhone = true + val DefaultEdgeType: EdgeType = EdgeType.Forward +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/README.md new file mode 100644 index 000000000..37b04a638 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/README.md @@ -0,0 +1,4 @@ +# Address Book Candidate Source +Provides the accounts of a given user's forward and reverse phone and email book contacts. +It is only available when the user has synced their address book with the service. + diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ReverseEmailBookSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ReverseEmailBookSource.scala new file mode 100644 index 000000000..6e89f8c24 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ReverseEmailBookSource.scala @@ -0,0 +1,78 @@ +package com.twitter.follow_recommendations.common.candidate_sources.addressbook + +import com.twitter.cds.contact_consent_state.thriftscala.PurposeOfProcessing +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.clients.addressbook.AddressbookClient +import com.twitter.follow_recommendations.common.clients.addressbook.models.EdgeType +import com.twitter.follow_recommendations.common.clients.addressbook.models.RecordIdentifier +import com.twitter.follow_recommendations.common.clients.email_storage_service.EmailStorageServiceClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueOptionalWithStats +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueWithStats +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.ReverseEmailContactsClientColumn +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ReverseEmailBookSource @Inject() ( + reverseEmailContactsClientColumn: ReverseEmailContactsClientColumn, + essClient: EmailStorageServiceClient, + addressBookClient: AddressbookClient, + statsReceiver: StatsReceiver = NullStatsReceiver) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] { + override val identifier: CandidateSourceIdentifier = ReverseEmailBookSource.Identifier + private val rescueStats = statsReceiver.scope("ReverseEmailBookSource") + + /** + * Generate a list of candidates for the target + */ + override def apply(target: HasParams with HasClientContext): Stitch[Seq[CandidateUser]] = { + val reverseCandidatesFromEmail = target.getOptionalUserId + .map { userId => + val verifiedEmailStitchOpt = + rescueOptionalWithStats( + essClient.getVerifiedEmail(userId, PurposeOfProcessing.ContentRecommendations), + rescueStats, + "getVerifiedEmail") + verifiedEmailStitchOpt.flatMap { emailOpt => + rescueWithStats( + addressBookClient.getUsers( + userId = userId, + identifiers = emailOpt + .map(email => + RecordIdentifier(userId = None, email = Some(email), phoneNumber = None)).toSeq, + batchSize = ReverseEmailBookSource.NumEmailBookEntries, + edgeType = ReverseEmailBookSource.DefaultEdgeType, + fetcherOption = + if (target.params(AddressBookParams.ReadFromABV2Only)) None + else Some(reverseEmailContactsClientColumn.fetcher) + ), + rescueStats, + "AddressBookClient" + ) + } + }.getOrElse(Stitch.Nil) + + reverseCandidatesFromEmail.map( + _.take(ReverseEmailBookSource.NumEmailBookEntries) + .map( + CandidateUser(_, score = Some(CandidateUser.DefaultCandidateScore)) + .withCandidateSource(identifier)) + ) + } +} + +object ReverseEmailBookSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.ReverseEmailBookIbis.toString) + val NumEmailBookEntries: Int = 500 + val IsPhone = false + val DefaultEdgeType: EdgeType = EdgeType.Reverse +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ReversePhoneBookSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ReversePhoneBookSource.scala new file mode 100644 index 000000000..4dbe5a617 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook/ReversePhoneBookSource.scala @@ -0,0 +1,77 @@ +package com.twitter.follow_recommendations.common.candidate_sources.addressbook + +import com.twitter.cds.contact_consent_state.thriftscala.PurposeOfProcessing +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.clients.addressbook.AddressbookClient +import com.twitter.follow_recommendations.common.clients.addressbook.models.EdgeType +import com.twitter.follow_recommendations.common.clients.addressbook.models.RecordIdentifier +import com.twitter.follow_recommendations.common.clients.phone_storage_service.PhoneStorageServiceClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueWithStats +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.ReversePhoneContactsClientColumn +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ReversePhoneBookSource @Inject() ( + reversePhoneContactsClientColumn: ReversePhoneContactsClientColumn, + pssClient: PhoneStorageServiceClient, + addressBookClient: AddressbookClient, + statsReceiver: StatsReceiver = NullStatsReceiver) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] { + + override val identifier: CandidateSourceIdentifier = ReversePhoneBookSource.Identifier + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getSimpleName) + + /** + * Generate a list of candidates for the target + */ + override def apply(target: HasParams with HasClientContext): Stitch[Seq[CandidateUser]] = { + val reverseCandidatesFromPhones: Stitch[Seq[Long]] = target.getOptionalUserId + .map { userId => + pssClient + .getPhoneNumbers(userId, PurposeOfProcessing.ContentRecommendations) + .flatMap { phoneNumbers => + rescueWithStats( + addressBookClient.getUsers( + userId = userId, + identifiers = phoneNumbers.map(phoneNumber => + RecordIdentifier(userId = None, email = None, phoneNumber = Some(phoneNumber))), + batchSize = ReversePhoneBookSource.NumPhoneBookEntries, + edgeType = ReversePhoneBookSource.DefaultEdgeType, + fetcherOption = + if (target.params(AddressBookParams.ReadFromABV2Only)) None + else Some(reversePhoneContactsClientColumn.fetcher), + queryOption = AddressbookClient.createQueryOption( + edgeType = ReversePhoneBookSource.DefaultEdgeType, + isPhone = ReversePhoneBookSource.IsPhone) + ), + stats, + "AddressBookClient" + ) + } + }.getOrElse(Stitch.Nil) + + reverseCandidatesFromPhones.map( + _.take(ReversePhoneBookSource.NumPhoneBookEntries) + .map( + CandidateUser(_, score = Some(CandidateUser.DefaultCandidateScore)) + .withCandidateSource(identifier)) + ) + } +} + +object ReversePhoneBookSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.ReversePhoneBook.toString) + val NumPhoneBookEntries: Int = 500 + val IsPhone = true + val DefaultEdgeType: EdgeType = EdgeType.Reverse +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/BUILD new file mode 100644 index 000000000..275137bf9 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/BUILD @@ -0,0 +1,23 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "content-recommender/thrift/src/main/thrift:thrift-scala", + "escherbird/src/scala/com/twitter/escherbird/util/stitchcache", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + "src/scala/com/twitter/onboarding/relevance/features/ymbii", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/CachedCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/CachedCandidateSource.scala new file mode 100644 index 000000000..c0196c304 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/CachedCandidateSource.scala @@ -0,0 +1,26 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.escherbird.util.stitchcache.StitchCache +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.util.Duration + +class CachedCandidateSource[K <: Object, V <: Object]( + candidateSource: CandidateSource[K, V], + maxCacheSize: Int, + cacheTTL: Duration, + statsReceiver: StatsReceiver, + override val identifier: CandidateSourceIdentifier) + extends CandidateSource[K, V] { + + private val cache = StitchCache[K, Seq[V]]( + maxCacheSize = maxCacheSize, + ttl = cacheTTL, + statsReceiver = statsReceiver.scope(identifier.name, "cache"), + underlyingCall = (k: K) => candidateSource(k) + ) + + override def apply(target: K): Stitch[Seq[V]] = cache.readThrough(target) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/ExperimentalCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/ExperimentalCandidateSource.scala new file mode 100644 index 000000000..9e2b0e6e9 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/ExperimentalCandidateSource.scala @@ -0,0 +1,66 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Param +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier + +/** + * A wrapper of CandidateSource to make it easier to do experimentation + * on new candidate generation algorithms + * + * @param baseSource base candidate source + * @param darkreadAlgorithmParam controls whether or not to darkread candidates (fetch them even if they will not be included) + * @param keepCandidatesParam controls whether or not to keep candidates from the base source + * @param resultCountThresholdParam controls how many results the source must return to bucket the user and return results (greater-than-or-equal-to) + * @tparam T request type. it must extend HasParams + * @tparam V value type + */ +class ExperimentalCandidateSource[T <: HasParams, V]( + baseSource: CandidateSource[T, V], + darkreadAlgorithmParam: Param[Boolean], + keepCandidatesParam: Param[Boolean], + resultCountThresholdParam: Param[Int], + baseStatsReceiver: StatsReceiver) + extends CandidateSource[T, V] { + + override val identifier: CandidateSourceIdentifier = baseSource.identifier + private[base] val statsReceiver = + baseStatsReceiver.scope(s"Experimental/${identifier.name}") + private[base] val requestsCounter = statsReceiver.counter("requests") + private[base] val resultCountGreaterThanThresholdCounter = + statsReceiver.counter("with_results_at_or_above_count_threshold") + private[base] val keepResultsCounter = statsReceiver.counter("keep_results") + private[base] val discardResultsCounter = statsReceiver.counter("discard_results") + + override def apply(request: T): Stitch[Seq[V]] = { + if (request.params(darkreadAlgorithmParam)) { + requestsCounter.incr() + fetchFromCandidateSourceAndProcessResults(request) + } else { + Stitch.Nil + } + } + + private def fetchFromCandidateSourceAndProcessResults(request: T): Stitch[Seq[V]] = { + baseSource(request).map { results => + if (results.length >= request.params(resultCountThresholdParam)) { + processResults(results, request.params(keepCandidatesParam)) + } else { + Nil + } + } + } + + private def processResults(results: Seq[V], keepResults: Boolean): Seq[V] = { + resultCountGreaterThanThresholdCounter.incr() + if (keepResults) { + keepResultsCounter.incr() + results + } else { + discardResultsCounter.incr() + Nil + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/RealGraphExpansionRepository.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/RealGraphExpansionRepository.scala new file mode 100644 index 000000000..8add11fa6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/RealGraphExpansionRepository.scala @@ -0,0 +1,208 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.follow_recommendations.common.candidate_sources.base.RealGraphExpansionRepository.DefaultScore +import com.twitter.follow_recommendations.common.candidate_sources.base.RealGraphExpansionRepository.MaxNumIntermediateNodesToKeep +import com.twitter.follow_recommendations.common.candidate_sources.base.RealGraphExpansionRepository.FirstDegreeCandidatesTimeout +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models._ +import com.twitter.onboarding.relevance.features.ymbii.ExpansionCandidateScores +import com.twitter.onboarding.relevance.features.ymbii.RawYMBIICandidateFeatures +import com.twitter.onboarding.relevance.store.thriftscala.CandidatesFollowedV1 +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import com.twitter.util.Duration +import scala.collection.immutable +import scala.util.control.NonFatal + +private final case class InterestExpansionCandidate( + userID: Long, + score: Double, + features: RawYMBIICandidateFeatures) + +abstract class RealGraphExpansionRepository[Request]( + realgraphExpansionStore: Fetcher[ + Long, + Unit, + CandidatesFollowedV1 + ], + override val identifier: CandidateSourceIdentifier, + statsReceiver: StatsReceiver = NullStatsReceiver, + maxUnderlyingCandidatesToQuery: Int = 50, + maxCandidatesToReturn: Int = 40, + overrideUnderlyingTimeout: Option[Duration] = None, + appendSocialProof: Boolean = false) + extends CandidateSource[ + Request, + CandidateUser + ] { + + val underlyingCandidateSource: Seq[ + CandidateSource[ + Request, + CandidateUser + ] + ] + + private val stats = statsReceiver.scope(this.getClass.getSimpleName).scope(identifier.name) + private val underlyingCandidateSourceFailureStats = + stats.scope("underlying_candidate_source_failure") + + def apply( + request: Request, + ): Stitch[Seq[CandidateUser]] = { + + val candidatesFromUnderlyingSourcesStitch: Seq[Stitch[Seq[CandidateUser]]] = + underlyingCandidateSource.map { candidateSource => + candidateSource + .apply(request) + .within(overrideUnderlyingTimeout.getOrElse(FirstDegreeCandidatesTimeout))( + DefaultTimer + ) + .handle { + case NonFatal(e) => + underlyingCandidateSourceFailureStats + .counter(candidateSource.identifier.name, e.getClass.getSimpleName).incr() + Seq.empty + } + } + + for { + underlyingCandidatesFromEachAlgo <- Stitch.collect(candidatesFromUnderlyingSourcesStitch) + // The first algorithm in the list has the highest priority. Depending on if its not + // populated, fall back to other algorithms. Once a particular algorithm is chosen, only + // take the top few candidates from the underlying store for expansion. + underlyingCandidatesTuple = + underlyingCandidatesFromEachAlgo + .zip(underlyingCandidateSource) + .find(_._1.nonEmpty) + + underlyingAlgorithmUsed: Option[CandidateSourceIdentifier] = underlyingCandidatesTuple.map { + case (_, candidateSource) => candidateSource.identifier + } + + // Take maxUnderlyingCandidatesToQuery to query realgraphExpansionStore + underlyingCandidates = + underlyingCandidatesTuple + .map { + case (candidates, candidateSource) => + stats + .scope("underlyingAlgorithmUsedScope").counter( + candidateSource.identifier.name).incr() + candidates + } + .getOrElse(Seq.empty) + .sortBy(_.score.getOrElse(DefaultScore))(Ordering.Double.reverse) + .take(maxUnderlyingCandidatesToQuery) + + underlyingCandidateMap: Map[Long, Double] = underlyingCandidates.map { candidate => + (candidate.id, candidate.score.getOrElse(DefaultScore)) + }.toMap + + expansionCandidates <- + Stitch + .traverse(underlyingCandidateMap.keySet.toSeq) { candidateId => + Stitch.join( + Stitch.value(candidateId), + realgraphExpansionStore.fetch(candidateId).map(_.v)) + + }.map(_.toMap) + + rerankedCandidates: Seq[InterestExpansionCandidate] = + rerankCandidateExpansions(underlyingCandidateMap, expansionCandidates) + + rerankedCandidatesFiltered = rerankedCandidates.take(maxCandidatesToReturn) + + } yield { + rerankedCandidatesFiltered.map { candidate => + val socialProofReason = if (appendSocialProof) { + val socialProofIds = candidate.features.expansionCandidateScores + .map(_.intermediateCandidateId) + Some( + Reason(Some( + AccountProof(followProof = Some(FollowProof(socialProofIds, socialProofIds.size)))))) + } else { + None + } + CandidateUser( + id = candidate.userID, + score = Some(candidate.score), + reason = socialProofReason, + userCandidateSourceDetails = Some( + UserCandidateSourceDetails( + primaryCandidateSource = Some(identifier), + candidateSourceFeatures = Map(identifier -> Seq(candidate.features)) + )) + ).addAddressBookMetadataIfAvailable(underlyingAlgorithmUsed.toSeq) + } + } + } + + /** + * Expands underlying candidates, returning them in sorted order. + * + * @param underlyingCandidatesMap A map from underlying candidate id to score + * @param expansionCandidateMap A map from underlying candidate id to optional expansion candidates + * @return A sorted sequence of expansion candidates and associated scores + */ + private def rerankCandidateExpansions( + underlyingCandidatesMap: Map[Long, Double], + expansionCandidateMap: Map[Long, Option[CandidatesFollowedV1]] + ): Seq[InterestExpansionCandidate] = { + + // extract features + val candidates: Seq[(Long, ExpansionCandidateScores)] = for { + (underlyingCandidateId, underlyingCandidateScore) <- underlyingCandidatesMap.toSeq + expansionCandidates = + expansionCandidateMap + .get(underlyingCandidateId) + .flatten + .map(_.candidatesFollowed) + .getOrElse(Seq.empty) + expansionCandidate <- expansionCandidates + } yield expansionCandidate.candidateID -> ExpansionCandidateScores( + underlyingCandidateId, + Some(underlyingCandidateScore), + Some(expansionCandidate.score) + ) + + // merge intermediate nodes for the same candidate + val dedupedCandidates: Seq[(Long, Seq[ExpansionCandidateScores])] = + candidates.groupBy(_._1).mapValues(_.map(_._2).sortBy(_.intermediateCandidateId)).toSeq + + // score the candidate + val candidatesWithTotalScore: Seq[((Long, Seq[ExpansionCandidateScores]), Double)] = + dedupedCandidates.map { candidate: (Long, Seq[ExpansionCandidateScores]) => + ( + candidate, + candidate._2.map { ieScore: ExpansionCandidateScores => + ieScore.scoreFromUserToIntermediateCandidate.getOrElse(DefaultScore) * + ieScore.scoreFromIntermediateToExpansionCandidate.getOrElse(DefaultScore) + }.sum) + } + + // sort candidate by score + for { + ((candidate, edges), score) <- candidatesWithTotalScore.sortBy(_._2)(Ordering[Double].reverse) + } yield InterestExpansionCandidate( + candidate, + score, + RawYMBIICandidateFeatures( + edges.size, + edges.take(MaxNumIntermediateNodesToKeep).to[immutable.Seq]) + ) + } + +} + +object RealGraphExpansionRepository { + private val FirstDegreeCandidatesTimeout: Duration = 250.milliseconds + private val MaxNumIntermediateNodesToKeep = 20 + private val DefaultScore = 0.0d + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SimilarUserExpanderParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SimilarUserExpanderParams.scala new file mode 100644 index 000000000..a4a0c9784 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SimilarUserExpanderParams.scala @@ -0,0 +1,31 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object SimilarUserExpanderParams { + + case object EnableNonDirectFollowExpansion + extends FSParam[Boolean]("similar_user_enable_non_direct_follow_expansion", true) + + case object EnableSimsExpandSeedAccountsSort + extends FSParam[Boolean]("similar_user_enable_sims_expander_seed_account_sort", false) + + case object DefaultExpansionInputCount + extends FSBoundedParam[Int]( + name = "similar_user_default_expansion_input_count", + default = Integer.MAX_VALUE, + min = 0, + max = Integer.MAX_VALUE) + + case object DefaultFinalCandidatesReturnedCount + extends FSBoundedParam[Int]( + name = "similar_user_default_final_candidates_returned_count", + default = Integer.MAX_VALUE, + min = 0, + max = Integer.MAX_VALUE) + + case object DefaultEnableImplicitEngagedExpansion + extends FSParam[Boolean]("similar_user_enable_implicit_engaged_expansion", true) + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SimilarUserExpanderRepository.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SimilarUserExpanderRepository.scala new file mode 100644 index 000000000..336902b34 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SimilarUserExpanderRepository.scala @@ -0,0 +1,313 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.follow_recommendations.common.candidate_sources.base.SimilarUserExpanderParams.DefaultEnableImplicitEngagedExpansion +import com.twitter.follow_recommendations.common.candidate_sources.base.SimilarUserExpanderParams.DefaultExpansionInputCount +import com.twitter.follow_recommendations.common.candidate_sources.base.SimilarUserExpanderParams.DefaultFinalCandidatesReturnedCount +import com.twitter.follow_recommendations.common.candidate_sources.base.SimilarUserExpanderParams.EnableNonDirectFollowExpansion +import com.twitter.follow_recommendations.common.candidate_sources.base.SimilarUserExpanderParams.EnableSimsExpandSeedAccountsSort +import com.twitter.follow_recommendations.common.candidate_sources.base.SimilarUserExpanderRepository.DefaultCandidateBuilder +import com.twitter.follow_recommendations.common.candidate_sources.base.SimilarUserExpanderRepository.DefaultScore +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.EngagementType +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.follow_recommendations.common.models.SimilarToProof +import com.twitter.follow_recommendations.common.models.UserCandidateSourceDetails +import com.twitter.hermit.candidate.thriftscala.Candidates +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params + +case class SecondDegreeCandidate(userId: Long, score: Double, socialProof: Option[Seq[Long]]) + +abstract class SimilarUserExpanderRepository[-Request <: HasParams]( + override val identifier: CandidateSourceIdentifier, + similarToCandidatesFetcher: Fetcher[ + Long, + Unit, + Candidates + ], + expansionInputSizeParam: FSBoundedParam[Int] = DefaultExpansionInputCount, + candidatesReturnedSizeParam: FSBoundedParam[Int] = DefaultFinalCandidatesReturnedCount, + enableImplicitEngagedExpansion: FSParam[Boolean] = DefaultEnableImplicitEngagedExpansion, + thresholdToAvoidExpansion: Int = 30, + maxExpansionPerCandidate: Option[Int] = None, + includingOriginalCandidates: Boolean = false, + scorer: (Double, Double) => Double = SimilarUserExpanderRepository.DefaultScorer, + aggregator: (Seq[Double]) => Double = ScoreAggregator.Max, + candidateBuilder: (Long, CandidateSourceIdentifier, Double, CandidateUser) => CandidateUser = + DefaultCandidateBuilder) + extends TwoHopExpansionCandidateSource[ + Request, + CandidateUser, + SecondDegreeCandidate, + CandidateUser + ] { + + val originalCandidateSource: CandidateSource[Request, CandidateUser] + val backupOriginalCandidateSource: Option[CandidateSource[Request, CandidateUser]] = None + + override def firstDegreeNodes(request: Request): Stitch[Seq[CandidateUser]] = { + + val originalCandidatesStitch: Stitch[Seq[CandidateUser]] = + originalCandidateSource(request) + + val backupCandidatesStitch: Stitch[Seq[CandidateUser]] = + if (request.params(EnableNonDirectFollowExpansion)) { + backupOriginalCandidateSource.map(_.apply(request)).getOrElse(Stitch.Nil) + } else { + Stitch.Nil + } + + val firstDegreeCandidatesCombinedStitch: Stitch[Seq[CandidateUser]] = + Stitch + .join(originalCandidatesStitch, backupCandidatesStitch).map { + case (firstDegreeOrigCandidates, backupFirstDegreeCandidates) => + if (request.params(EnableSimsExpandSeedAccountsSort)) { + firstDegreeOrigCandidates ++ backupFirstDegreeCandidates sortBy { + -_.score.getOrElse(DefaultScore) + } + } else { + firstDegreeOrigCandidates ++ backupFirstDegreeCandidates + } + } + + val candidatesAfterImplicitEngagementsRemovalStitch: Stitch[Seq[CandidateUser]] = + getCandidatesAfterImplicitEngagementFiltering( + request.params, + firstDegreeCandidatesCombinedStitch) + + val firstDegreeCandidatesCombinedTrimmed = candidatesAfterImplicitEngagementsRemovalStitch.map { + candidates: Seq[CandidateUser] => + candidates.take(request.params(expansionInputSizeParam)) + } + + firstDegreeCandidatesCombinedTrimmed.map { firstDegreeResults: Seq[CandidateUser] => + if (firstDegreeResults.nonEmpty && firstDegreeResults.size < thresholdToAvoidExpansion) { + firstDegreeResults + .groupBy(_.id).mapValues( + _.maxBy(_.score) + ).values.toSeq + } else { + Nil + } + } + + } + + override def secondaryDegreeNodes( + request: Request, + firstDegreeCandidate: CandidateUser + ): Stitch[Seq[SecondDegreeCandidate]] = { + similarToCandidatesFetcher.fetch(firstDegreeCandidate.id).map(_.v).map { candidateListOption => + candidateListOption + .map { candidatesList => + candidatesList.candidates.map(candidate => + SecondDegreeCandidate(candidate.userId, candidate.score, candidate.socialProof)) + }.getOrElse(Nil) + } + + } + + override def aggregateAndScore( + req: Request, + firstDegreeToSecondDegreeNodesMap: Map[CandidateUser, Seq[SecondDegreeCandidate]] + ): Stitch[Seq[CandidateUser]] = { + + val similarExpanderResults = firstDegreeToSecondDegreeNodesMap.flatMap { + case (firstDegreeCandidate, seqOfSecondDegreeCandidates) => + val sourceScore = firstDegreeCandidate.score.getOrElse(DefaultScore) + val results: Seq[CandidateUser] = seqOfSecondDegreeCandidates.map { secondDegreeCandidate => + val score = scorer(sourceScore, secondDegreeCandidate.score) + candidateBuilder(secondDegreeCandidate.userId, identifier, score, firstDegreeCandidate) + } + maxExpansionPerCandidate match { + case None => results + case Some(limit) => results.sortBy(-_.score.getOrElse(DefaultScore)).take(limit) + } + }.toSeq + + val allCandidates = { + if (includingOriginalCandidates) + firstDegreeToSecondDegreeNodesMap.keySet.toSeq + else + Nil + } ++ similarExpanderResults + + val groupedCandidates: Seq[CandidateUser] = allCandidates + .groupBy(_.id) + .flatMap { + case (_, candidates) => + val finalScore = aggregator(candidates.map(_.score.getOrElse(DefaultScore))) + val candidateSourceDetailsCombined = aggregateCandidateSourceDetails(candidates) + val accountSocialProofcombined = aggregateAccountSocialProof(candidates) + + candidates.headOption.map( + _.copy( + score = Some(finalScore), + reason = accountSocialProofcombined, + userCandidateSourceDetails = candidateSourceDetailsCombined) + .withCandidateSource(identifier)) + } + .toSeq + + Stitch.value( + groupedCandidates + .sortBy { -_.score.getOrElse(DefaultScore) }.take(req.params(candidatesReturnedSizeParam)) + ) + } + + def aggregateCandidateSourceDetails( + candidates: Seq[CandidateUser] + ): Option[UserCandidateSourceDetails] = { + candidates + .map { candidate => + candidate.userCandidateSourceDetails.map(_.candidateSourceScores).getOrElse(Map.empty) + }.reduceLeftOption { (scoreMap1, scoreMap2) => + scoreMap1 ++ scoreMap2 + }.map { + UserCandidateSourceDetails(primaryCandidateSource = None, _) + } + + } + + def aggregateAccountSocialProof(candidates: Seq[CandidateUser]): Option[Reason] = { + candidates + .map { candidate => + ( + candidate.reason + .flatMap(_.accountProof.flatMap(_.similarToProof.map(_.similarTo))).getOrElse(Nil), + candidate.reason + .flatMap(_.accountProof.flatMap(_.followProof.map(_.followedBy))).getOrElse(Nil), + candidate.reason + .flatMap(_.accountProof.flatMap(_.followProof.map(_.numIds))).getOrElse(0) + ) + }.reduceLeftOption { (accountProofOne, accountProofTwo) => + ( + // merge similarToIds + accountProofOne._1 ++ accountProofTwo._1, + // merge followedByIds + accountProofOne._2 ++ accountProofTwo._2, + // add numIds + accountProofOne._3 + accountProofTwo._3) + }.map { proofs => + Reason(accountProof = Some( + AccountProof( + similarToProof = Some(SimilarToProof(proofs._1)), + followProof = if (proofs._2.nonEmpty) Some(FollowProof(proofs._2, proofs._3)) else None + ))) + } + } + + def getCandidatesAfterImplicitEngagementFiltering( + params: Params, + firstDegreeCandidatesStitch: Stitch[Seq[CandidateUser]] + ): Stitch[Seq[CandidateUser]] = { + + if (!params(enableImplicitEngagedExpansion)) { + + /** + * Remove candidates whose engagement types only contain implicit engagements + * (e.g. Profile View, Tweet Click) and only expand those candidates who contain explicit + * engagements. + */ + firstDegreeCandidatesStitch.map { candidates => + candidates.filter { cand => + cand.engagements.exists(engage => + engage == EngagementType.Like || engage == EngagementType.Retweet || engage == EngagementType.Mention) + } + } + } else { + firstDegreeCandidatesStitch + } + } + +} + +object SimilarUserExpanderRepository { + val DefaultScorer: (Double, Double) => Double = (sourceScore: Double, similarScore: Double) => + similarScore + val MultiplyScorer: (Double, Double) => Double = (sourceScore: Double, similarScore: Double) => + sourceScore * similarScore + val SourceScorer: (Double, Double) => Double = (sourceScore: Double, similarScore: Double) => + sourceScore + + val DefaultScore = 0.0d + + val DefaultCandidateBuilder: ( + Long, + CandidateSourceIdentifier, + Double, + CandidateUser + ) => CandidateUser = + ( + userId: Long, + _: CandidateSourceIdentifier, + score: Double, + candidate: CandidateUser + ) => { + val originalCandidateSourceDetails = + candidate.userCandidateSourceDetails.flatMap { candSourceDetails => + candSourceDetails.primaryCandidateSource.map { primaryCandidateSource => + UserCandidateSourceDetails( + primaryCandidateSource = None, + candidateSourceScores = Map(primaryCandidateSource -> candidate.score)) + } + } + CandidateUser( + id = userId, + score = Some(score), + userCandidateSourceDetails = originalCandidateSourceDetails, + reason = + Some(Reason(Some(AccountProof(similarToProof = Some(SimilarToProof(Seq(candidate.id))))))) + ) + } + + val FollowClusterCandidateBuilder: ( + Long, + CandidateSourceIdentifier, + Double, + CandidateUser + ) => CandidateUser = + (userId: Long, _: CandidateSourceIdentifier, score: Double, candidate: CandidateUser) => { + val originalCandidateSourceDetails = + candidate.userCandidateSourceDetails.flatMap { candSourceDetails => + candSourceDetails.primaryCandidateSource.map { primaryCandidateSource => + UserCandidateSourceDetails( + primaryCandidateSource = None, + candidateSourceScores = Map(primaryCandidateSource -> candidate.score)) + } + } + + val originalFollowCluster = candidate.reason + .flatMap(_.accountProof.flatMap(_.followProof.map(_.followedBy))) + + CandidateUser( + id = userId, + score = Some(score), + userCandidateSourceDetails = originalCandidateSourceDetails, + reason = Some( + Reason( + Some( + AccountProof( + similarToProof = Some(SimilarToProof(Seq(candidate.id))), + followProof = originalFollowCluster.map(follows => + FollowProof(follows, follows.size))))) + ) + ) + } +} + +object ScoreAggregator { + // aggregate the same candidates with same id by taking the one with largest score + val Max: Seq[Double] => Double = (candidateScores: Seq[Double]) => { candidateScores.max } + + // aggregate the same candidates with same id by taking the sum of the scores + val Sum: Seq[Double] => Double = (candidateScores: Seq[Double]) => { candidateScores.sum } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSource.scala new file mode 100644 index 000000000..f650c9f6d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSource.scala @@ -0,0 +1,86 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.transforms.modify_social_proof.ModifySocialProof +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Duration + +abstract class SocialProofEnforcedCandidateSource( + candidateSource: CandidateSource[HasClientContext with HasParams, CandidateUser], + modifySocialProof: ModifySocialProof, + minNumSocialProofsRequired: Int, + override val identifier: CandidateSourceIdentifier, + baseStatsReceiver: StatsReceiver) + extends CandidateSource[HasClientContext with HasParams, CandidateUser] { + + val statsReceiver = baseStatsReceiver.scope(identifier.name) + + override def apply(target: HasClientContext with HasParams): Stitch[Seq[CandidateUser]] = { + val mustCallSgs: Boolean = target.params(SocialProofEnforcedCandidateSourceParams.MustCallSgs) + val callSgsCachedColumn: Boolean = + target.params(SocialProofEnforcedCandidateSourceParams.CallSgsCachedColumn) + val QueryIntersectionIdsNum: Int = + target.params(SocialProofEnforcedCandidateSourceParams.QueryIntersectionIdsNum) + val MaxNumCandidatesToAnnotate: Int = + target.params(SocialProofEnforcedCandidateSourceParams.MaxNumCandidatesToAnnotate) + val gfsIntersectionIdsNum: Int = + target.params(SocialProofEnforcedCandidateSourceParams.GfsIntersectionIdsNum) + val sgsIntersectionIdsNum: Int = + target.params(SocialProofEnforcedCandidateSourceParams.SgsIntersectionIdsNum) + val gfsLagDuration: Duration = + target.params(SocialProofEnforcedCandidateSourceParams.GfsLagDurationInDays) + + candidateSource(target) + .flatMap { candidates => + val candidatesWithoutEnoughSocialProof = candidates + .collect { + case candidate if !candidate.followedBy.exists(_.size >= minNumSocialProofsRequired) => + candidate + } + statsReceiver + .stat("candidates_with_no_social_proofs").add(candidatesWithoutEnoughSocialProof.size) + val candidatesToAnnotate = + candidatesWithoutEnoughSocialProof.take(MaxNumCandidatesToAnnotate) + statsReceiver.stat("candidates_to_annotate").add(candidatesToAnnotate.size) + + val annotatedCandidatesMapStitch = target.getOptionalUserId + .map { userId => + modifySocialProof + .hydrateSocialProof( + userId, + candidatesToAnnotate, + Some(QueryIntersectionIdsNum), + mustCallSgs, + callSgsCachedColumn, + gfsLagDuration = gfsLagDuration, + gfsIntersectionIds = gfsIntersectionIdsNum, + sgsIntersectionIds = sgsIntersectionIdsNum + ).map { annotatedCandidates => + annotatedCandidates + .map(annotatedCandidate => (annotatedCandidate.id, annotatedCandidate)).toMap + } + }.getOrElse(Stitch.value(Map.empty[Long, CandidateUser])) + + annotatedCandidatesMapStitch.map { annotatedCandidatesMap => + candidates + .flatMap { candidate => + if (candidate.followedBy.exists(_.size >= minNumSocialProofsRequired)) { + Some(candidate) + } else { + annotatedCandidatesMap.get(candidate.id).collect { + case annotatedCandidate + if annotatedCandidate.followedBy.exists( + _.size >= minNumSocialProofsRequired) => + annotatedCandidate + } + } + }.map(_.withCandidateSource(identifier)) + } + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSourceFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSourceFSConfig.scala new file mode 100644 index 000000000..a74164f28 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSourceFSConfig.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SocialProofEnforcedCandidateSourceFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = + Seq( + SocialProofEnforcedCandidateSourceParams.MustCallSgs, + SocialProofEnforcedCandidateSourceParams.CallSgsCachedColumn, + ) + override val intFSParams: Seq[FSBoundedParam[Int]] = + Seq( + SocialProofEnforcedCandidateSourceParams.QueryIntersectionIdsNum, + SocialProofEnforcedCandidateSourceParams.MaxNumCandidatesToAnnotate, + SocialProofEnforcedCandidateSourceParams.GfsIntersectionIdsNum, + SocialProofEnforcedCandidateSourceParams.SgsIntersectionIdsNum, + ) + + override val durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = Seq( + SocialProofEnforcedCandidateSourceParams.GfsLagDurationInDays + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSourceParams.scala new file mode 100644 index 000000000..36e50e59f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/SocialProofEnforcedCandidateSourceParams.scala @@ -0,0 +1,56 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.conversions.DurationOps._ +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration + +object SocialProofEnforcedCandidateSourceParams { + case object MustCallSgs + extends FSParam[Boolean]("social_proof_enforced_candidate_source_must_call_sgs", true) + + case object CallSgsCachedColumn + extends FSParam[Boolean]( + "social_proof_enforced_candidate_source_call_sgs_cached_column", + false) + + case object QueryIntersectionIdsNum + extends FSBoundedParam[Int]( + name = "social_proof_enforced_candidate_source_query_intersection_ids_num", + default = 3, + min = 0, + max = Integer.MAX_VALUE) + + case object MaxNumCandidatesToAnnotate + extends FSBoundedParam[Int]( + name = "social_proof_enforced_candidate_source_max_num_candidates_to_annotate", + default = 50, + min = 0, + max = Integer.MAX_VALUE) + + case object GfsIntersectionIdsNum + extends FSBoundedParam[Int]( + name = "social_proof_enforced_candidate_source_gfs_intersection_ids_num", + default = 3, + min = 0, + max = Integer.MAX_VALUE) + + case object SgsIntersectionIdsNum + extends FSBoundedParam[Int]( + name = "social_proof_enforced_candidate_source_sgs_intersection_ids_num", + default = 10, + min = 0, + max = Integer.MAX_VALUE) + + case object GfsLagDurationInDays + extends FSBoundedParam[Duration]( + name = "social_proof_enforced_candidate_source_gfs_lag_duration_in_days", + default = 14.days, + min = 1.days, + max = 60.days) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromDays + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/StratoFetcherSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/StratoFetcherSource.scala new file mode 100644 index 000000000..ea6fa57fa --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/StratoFetcherSource.scala @@ -0,0 +1,27 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher + +abstract class StratoFetcherSource[K, U, V]( + fetcher: Fetcher[K, U, V], + view: U, + override val identifier: CandidateSourceIdentifier) + extends CandidateSource[K, CandidateUser] { + + def map(user: K, v: V): Seq[CandidateUser] + + override def apply(target: K): Stitch[Seq[CandidateUser]] = { + fetcher + .fetch(target, view) + .map { result => + result.v + .map { candidates => map(target, candidates) } + .getOrElse(Nil) + .map(_.withCandidateSource(identifier)) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/StratoFetcherWithUnitViewSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/StratoFetcherWithUnitViewSource.scala new file mode 100644 index 000000000..1f1572ee6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/StratoFetcherWithUnitViewSource.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.client.Fetcher + +abstract class StratoFetcherWithUnitViewSource[K, V]( + fetcher: Fetcher[K, Unit, V], + override val identifier: CandidateSourceIdentifier) + extends StratoFetcherSource[K, Unit, V](fetcher, Unit, identifier) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/TweetAuthorsCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/TweetAuthorsCandidateSource.scala new file mode 100644 index 000000000..541b24837 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/TweetAuthorsCandidateSource.scala @@ -0,0 +1,71 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.follow_recommendations.common.models.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.stitch.Stitch + +/** + * base trait for tweet authors based algorithms, e.g. topical tweet authors, twistly, ... + * + * @tparam Target target type + * @tparam Candidate output candidate types + */ +trait TweetAuthorsCandidateSource[-Target, +Candidate] extends CandidateSource[Target, Candidate] { + + /** + * fetch Tweet candidates + */ + def getTweetCandidates(target: Target): Stitch[Seq[TweetCandidate]] + + /** + * fetch authorId + */ + def getTweetAuthorId(tweetCandidate: TweetCandidate): Stitch[Option[Long]] + + /** + * wrap candidate ID and TweetAuthorProof in Candidate + */ + def toCandidate(authorId: Long, tweetIds: Seq[Long], score: Option[Double]): Candidate + + /** + * aggregate scores, default to the first score + */ + def aggregator(scores: Seq[Double]): Double = + scores.headOption.getOrElse(TweetAuthorsCandidateSource.DefaultScore) + + /** + * aggregation method for a group of tweet candidates + */ + def aggregateAndScore( + target: Target, + tweetCandidates: Seq[TweetCandidate] + ): Seq[Candidate] + + /** + * generate a list of candidates for the target + */ + def build( + target: Target + ): Stitch[Seq[Candidate]] = { + // Fetch Tweet candidates and hydrate author IDs + val tweetCandidatesStitch = for { + tweetCandidates <- getTweetCandidates(target) + authorIds <- Stitch.collect(tweetCandidates.map(getTweetAuthorId(_))) + } yield { + for { + (authorIdOpt, tweetCandidate) <- authorIds.zip(tweetCandidates) + authorId <- authorIdOpt + } yield tweetCandidate.copy(authorId = authorId) + } + + // Aggregate and score, convert to candidate + tweetCandidatesStitch.map(aggregateAndScore(target, _)) + } + + def apply(target: Target): Stitch[Seq[Candidate]] = + build(target) +} + +object TweetAuthorsCandidateSource { + final val DefaultScore: Double = 0.0 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/TwoHopExpansionCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/TwoHopExpansionCandidateSource.scala new file mode 100644 index 000000000..40c699d22 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base/TwoHopExpansionCandidateSource.scala @@ -0,0 +1,46 @@ +package com.twitter.follow_recommendations.common.candidate_sources.base + +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.stitch.Stitch + +/** + * base trait for two-hop expansion based algorithms, e.g. online_stp, phonebook_prediction, + * recent following sims, recent engagement sims, ... + * + * @tparam Target target type + * @tparam FirstDegree type of first degree nodes + * @tparam SecondaryDegree type of secondary degree nodes + * @tparam Candidate output candidate types + */ +trait TwoHopExpansionCandidateSource[-Target, FirstDegree, SecondaryDegree, +Candidate] + extends CandidateSource[Target, Candidate] { + + /** + * fetch first degree nodes given request + */ + def firstDegreeNodes(req: Target): Stitch[Seq[FirstDegree]] + + /** + * fetch secondary degree nodes given request and first degree nodes + */ + def secondaryDegreeNodes(req: Target, node: FirstDegree): Stitch[Seq[SecondaryDegree]] + + /** + * aggregate and score the candidates to generate final results + */ + def aggregateAndScore( + req: Target, + firstDegreeToSecondDegreeNodesMap: Map[FirstDegree, Seq[SecondaryDegree]] + ): Stitch[Seq[Candidate]] + + /** + * Generate a list of candidates for the target + */ + def apply(target: Target): Stitch[Seq[Candidate]] = { + for { + firstDegreeNodes <- firstDegreeNodes(target) + secondaryDegreeNodes <- Stitch.traverse(firstDegreeNodes)(secondaryDegreeNodes(target, _)) + aggregated <- aggregateAndScore(target, firstDegreeNodes.zip(secondaryDegreeNodes).toMap) + } yield aggregated + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/BUILD new file mode 100644 index 000000000..de3bc0a6b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/BUILD @@ -0,0 +1,22 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "escherbird/src/scala/com/twitter/escherbird/util/stitchcache", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/model", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + "src/thrift/com/twitter/onboarding/relevance/crowd_search_accounts:crowd_search_accounts-scala", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-core/src/main/scala/com/twitter/conversions", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsFSConfig.scala new file mode 100644 index 000000000..520983b60 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsFSConfig.scala @@ -0,0 +1,18 @@ +package com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class CrowdSearchAccountsFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = Seq( + CrowdSearchAccountsParams.CandidateSourceEnabled, + ) + override val doubleFSParams: Seq[FSBoundedParam[Double]] = Seq( + CrowdSearchAccountsParams.CandidateSourceWeight, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsParams.scala new file mode 100644 index 000000000..a167b7768 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsParams.scala @@ -0,0 +1,32 @@ +package com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumSeqParam +import com.twitter.timelines.configapi.FSParam + +object CrowdSearchAccountsParams { + // whether or not to fetch CrowdSearchAccounts candidate sources + case object CandidateSourceEnabled + extends FSParam[Boolean]("crowd_search_accounts_candidate_source_enabled", false) + + /** + * Contains the logic key for account filtering and ranking. Currently we have 3 main logic keys + * - new_daily: filtering top searched accounts with max daily searches based on new users + * - new_weekly: filtering top searched accounts with max weekly searches based on new users + * - daily: filtering top searched accounts with max daily searches + * - weekly: filtering top searched accounts with max weekly searches + * Mapping of the Logic Id to Logic key is done via @enum AccountsFilteringAndRankingLogic + */ + case object AccountsFilteringAndRankingLogics + extends FSEnumSeqParam[AccountsFilteringAndRankingLogicId.type]( + name = "crowd_search_accounts_filtering_and_ranking_logic_ids", + default = Seq(AccountsFilteringAndRankingLogicId.SearchesWeekly), + enum = AccountsFilteringAndRankingLogicId) + + case object CandidateSourceWeight + extends FSBoundedParam[Double]( + "crowd_search_accounts_candidate_source_weight", + default = 1200, + min = 0.001, + max = 2000) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsSource.scala new file mode 100644 index 000000000..6d3e903a1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/CrowdSearchAccountsSource.scala @@ -0,0 +1,111 @@ +package com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts + +import com.twitter.escherbird.util.stitchcache.StitchCache +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts.CrowdSearchAccountsParams.AccountsFilteringAndRankingLogics +import com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts.CrowdSearchAccountsParams.CandidateSourceEnabled +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasGeohashAndCountryCode +import com.twitter.hermit.model.Algorithm +import com.twitter.onboarding.relevance.crowd_search_accounts.thriftscala.CrowdSearchAccounts +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.CrowdSearchAccountsClientColumn +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Duration +import com.twitter.util.logging.Logging +import javax.inject.Inject +import javax.inject.Singleton + +object AccountsFilteringAndRankingLogicId extends Enumeration { + type AccountsFilteringAndRankingLogicId = Value + + val NewSearchesDaily: AccountsFilteringAndRankingLogicId = Value("new_searches_daily") + val NewSearchesWeekly: AccountsFilteringAndRankingLogicId = Value("new_searches_weekly") + val SearchesDaily: AccountsFilteringAndRankingLogicId = Value("searches_daily") + val SearchesWeekly: AccountsFilteringAndRankingLogicId = Value("searches_weekly") +} + +object CrowdSearchAccountsSource { + val MaxCacheSize = 500 + val CacheTTL: Duration = Duration.fromHours(24) + + type Target = HasParams with HasClientContext with HasGeohashAndCountryCode + + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.CrowdSearchAccounts.toString) +} + +@Singleton +class CrowdSearchAccountsSource @Inject() ( + crowdSearchAccountsClientColumn: CrowdSearchAccountsClientColumn, + statsReceiver: StatsReceiver, +) extends CandidateSource[CrowdSearchAccountsSource.Target, CandidateUser] + with Logging { + + /** @see [[CandidateSourceIdentifier]] */ + override val identifier: CandidateSourceIdentifier = + CrowdSearchAccountsSource.Identifier + + private val stats = statsReceiver.scope(identifier.name) + private val requestsStats = stats.counter("requests") + private val noCountryCodeStats = stats.counter("no_country_code") + private val successStats = stats.counter("success") + private val errorStats = stats.counter("error") + + private val cache = StitchCache[String, Option[CrowdSearchAccounts]]( + maxCacheSize = CrowdSearchAccountsSource.MaxCacheSize, + ttl = CrowdSearchAccountsSource.CacheTTL, + statsReceiver = statsReceiver.scope(identifier.name, "cache"), + underlyingCall = (k: String) => { + crowdSearchAccountsClientColumn.fetcher + .fetch(k) + .map { result => result.v } + } + ) + + /** returns a Seq of ''potential'' content */ + override def apply( + target: CrowdSearchAccountsSource.Target + ): Stitch[Seq[CandidateUser]] = { + if (!target.params(CandidateSourceEnabled)) { + return Stitch.value(Seq[CandidateUser]()) + } + requestsStats.incr() + target.getCountryCode + .orElse(target.geohashAndCountryCode.flatMap(_.countryCode)).map { countryCode => + Stitch + .collect(target + .params(AccountsFilteringAndRankingLogics).map(logic => + cache.readThrough(countryCode.toUpperCase() + "-" + logic))) + .onSuccess(_ => { + successStats.incr() + }) + .onFailure(t => { + debug("candidate source failed identifier = %s".format(identifier), t) + errorStats.incr() + }) + .map(transformCrowdSearchAccountsToCandidateSource) + }.getOrElse { + noCountryCodeStats.incr() + Stitch.value(Seq[CandidateUser]()) + } + } + + private def transformCrowdSearchAccountsToCandidateSource( + crowdSearchAccounts: Seq[Option[CrowdSearchAccounts]] + ): Seq[CandidateUser] = { + crowdSearchAccounts + .flatMap(opt => + opt + .map(accounts => + accounts.accounts.map(account => + CandidateUser( + id = account.accountId, + score = Some(account.searchActivityScore), + ).withCandidateSource(identifier))) + .getOrElse(Seq[CandidateUser]())) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/README.md new file mode 100644 index 000000000..043279b44 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts/README.md @@ -0,0 +1,4 @@ +# Crowd Search Candidate Source +Provides the most searched accounts within a specific country over the past 1 and 7 days. +* When we refer to "most searched accounts", we are referring to accounts that have been clicked on the most frequently by users after they see search results in both the typeahead and search results page. +* The results returned by the service have undergone health filters. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/BUILD new file mode 100644 index 000000000..2493a4a93 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/BUILD @@ -0,0 +1,23 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "src/thrift/com/twitter/hermit/pop_geo:hermit-pop-geo-scala", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/BasePopGeoHashSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/BasePopGeoHashSource.scala new file mode 100644 index 000000000..862046bbc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/BasePopGeoHashSource.scala @@ -0,0 +1,74 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.google.inject.Singleton +import com.twitter.finagle.stats.Counter +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasGeohashAndCountryCode +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject + +@Singleton +class BasePopGeohashSource @Inject() ( + popGeoSource: CandidateSource[String, CandidateUser], + statsReceiver: StatsReceiver) + extends CandidateSource[ + HasParams with HasClientContext with HasGeohashAndCountryCode, + CandidateUser + ] + with BasePopGeohashSourceConfig { + + val stats: StatsReceiver = statsReceiver + + // counter to check if we found a geohash value in the request + val foundGeohashCounter: Counter = stats.counter("found_geohash_value") + // counter to check if we are missing a geohash value in the request + val missingGeohashCounter: Counter = stats.counter("missing_geohash_value") + + /** @see [[CandidateSourceIdentifier]] */ + override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + "BasePopGeohashSource") + + override def apply( + target: HasParams with HasClientContext with HasGeohashAndCountryCode + ): Stitch[Seq[CandidateUser]] = { + if (!candidateSourceEnabled(target)) { + return Stitch.Nil + } + target.geohashAndCountryCode + .flatMap(_.geohash).map { geohash => + foundGeohashCounter.incr() + val keys = (minGeohashLength(target) to math.min(maxGeohashLength(target), geohash.length)) + .map("geohash_" + geohash.take(_)).reverse + if (returnResultFromAllPrecision(target)) { + Stitch + .collect(keys.map(popGeoSource.apply)).map( + _.flatten.map(_.withCandidateSource(identifier)) + ) + } else { + Stitch + .collect(keys.map(popGeoSource.apply)).map( + _.find(_.nonEmpty) + .getOrElse(Nil) + .take(maxResults(target)).map(_.withCandidateSource(identifier)) + ) + } + }.getOrElse { + missingGeohashCounter.incr() + Stitch.Nil + } + } +} + +trait BasePopGeohashSourceConfig { + type Target = HasParams with HasClientContext + def maxResults(target: Target): Int = 200 + def minGeohashLength(target: Target): Int = 2 + def maxGeohashLength(target: Target): Int = 4 + def returnResultFromAllPrecision(target: Target): Boolean = false + def candidateSourceEnabled(target: Target): Boolean = false +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopCountryBackFillSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopCountryBackFillSource.scala new file mode 100644 index 000000000..e2a5f9baf --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopCountryBackFillSource.scala @@ -0,0 +1,33 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject + +@Singleton +class PopCountryBackFillSource @Inject() (popGeoSource: PopGeoSource) + extends CandidateSource[HasClientContext with HasParams, CandidateUser] { + + override val identifier: CandidateSourceIdentifier = PopCountryBackFillSource.Identifier + + override def apply(target: HasClientContext with HasParams): Stitch[Seq[CandidateUser]] = { + target.getOptionalUserId + .map(_ => + popGeoSource(PopCountryBackFillSource.DefaultKey) + .map(_.take(PopCountryBackFillSource.MaxResults).map(_.withCandidateSource(identifier)))) + .getOrElse(Stitch.Nil) + } +} + +object PopCountryBackFillSource { + val Identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier(Algorithm.PopCountryBackFill.toString) + val MaxResults = 40 + val DefaultKey = "country_US" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopCountrySource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopCountrySource.scala new file mode 100644 index 000000000..de6377df6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopCountrySource.scala @@ -0,0 +1,63 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.google.inject.Singleton +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.finagle.stats.Counter +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasGeohashAndCountryCode +import com.twitter.follow_recommendations.common.models.HasUserState +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject + +@Singleton +class PopCountrySource @Inject() ( + popGeoSource: PopGeoSource, + statsReceiver: StatsReceiver) + extends CandidateSource[ + HasClientContext with HasParams with HasUserState with HasGeohashAndCountryCode, + CandidateUser + ] { + + override val identifier: CandidateSourceIdentifier = PopCountrySource.Identifier + val stats: StatsReceiver = statsReceiver.scope("PopCountrySource") + + // counter to check if we found a country code value in the request + val foundCountryCodeCounter: Counter = stats.counter("found_country_code_value") + // counter to check if we are missing a country code value in the request + val missingCountryCodeCounter: Counter = stats.counter("missing_country_code_value") + + override def apply( + target: HasClientContext with HasParams with HasUserState with HasGeohashAndCountryCode + ): Stitch[Seq[CandidateUser]] = { + target.geohashAndCountryCode + .flatMap(_.countryCode).map { countryCode => + foundCountryCodeCounter.incr() + if (target.userState.exists(PopCountrySource.BlacklistedTargetUserStates.contains)) { + Stitch.Nil + } else { + popGeoSource("country_" + countryCode) + .map(_.take(PopCountrySource.MaxResults).map(_.withCandidateSource(identifier))) + } + }.getOrElse { + missingCountryCodeCounter.incr() + Stitch.Nil + } + } +} + +object PopCountrySource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.PopCountry.toString) + val MaxResults = 40 + val BlacklistedTargetUserStates: Set[UserState] = Set( + UserState.HeavyTweeter, + UserState.HeavyNonTweeter, + UserState.MediumTweeter, + UserState.MediumNonTweeter) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSource.scala new file mode 100644 index 000000000..ad473a282 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSource.scala @@ -0,0 +1,99 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo +import com.google.inject.Singleton +import com.twitter.escherbird.util.stitchcache.StitchCache +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.PopularInGeoProof +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.hermit.model.Algorithm +import com.twitter.hermit.pop_geo.thriftscala.PopUsersInPlace +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.UniquePopQualityFollowUsersInPlaceClientColumn +import com.twitter.util.Duration +import javax.inject.Inject + +@Singleton +class PopGeohashQualityFollowSource @Inject() ( + popGeoSource: PopGeoQualityFollowSource, + statsReceiver: StatsReceiver) + extends BasePopGeohashSource( + popGeoSource = popGeoSource, + statsReceiver = statsReceiver.scope("PopGeohashQualityFollowSource"), + ) { + override val identifier: CandidateSourceIdentifier = PopGeohashQualityFollowSource.Identifier + override def maxResults(target: Target): Int = { + target.params(PopGeoQualityFollowSourceParams.PopGeoSourceMaxResultsPerPrecision) + } + override def minGeohashLength(target: Target): Int = { + target.params(PopGeoQualityFollowSourceParams.PopGeoSourceGeoHashMinPrecision) + } + override def maxGeohashLength(target: Target): Int = { + target.params(PopGeoQualityFollowSourceParams.PopGeoSourceGeoHashMaxPrecision) + } + override def returnResultFromAllPrecision(target: Target): Boolean = { + target.params(PopGeoQualityFollowSourceParams.PopGeoSourceReturnFromAllPrecisions) + } + override def candidateSourceEnabled(target: Target): Boolean = { + target.params(PopGeoQualityFollowSourceParams.CandidateSourceEnabled) + } +} + +object PopGeohashQualityFollowSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.PopGeohashQualityFollow.toString) +} + +object PopGeoQualityFollowSource { + val MaxCacheSize = 20000 + val CacheTTL: Duration = Duration.fromHours(24) + val MaxResults = 200 +} + +@Singleton +class PopGeoQualityFollowSource @Inject() ( + popGeoQualityFollowClientColumn: UniquePopQualityFollowUsersInPlaceClientColumn, + statsReceiver: StatsReceiver, +) extends CandidateSource[String, CandidateUser] { + + /** @see [[CandidateSourceIdentifier]] */ + override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + "PopGeoQualityFollowSource") + + private val cache = StitchCache[String, Option[PopUsersInPlace]]( + maxCacheSize = PopGeoQualityFollowSource.MaxCacheSize, + ttl = PopGeoQualityFollowSource.CacheTTL, + statsReceiver = statsReceiver.scope(identifier.name, "cache"), + underlyingCall = (k: String) => { + popGeoQualityFollowClientColumn.fetcher + .fetch(k) + .map { result => result.v } + } + ) + + override def apply(target: String): Stitch[Seq[CandidateUser]] = { + val result: Stitch[Option[PopUsersInPlace]] = cache.readThrough(target) + result.map { pu => + pu.map { candidates => + candidates.popUsers.sortBy(-_.score).take(PopGeoQualityFollowSource.MaxResults).map { + candidate => + CandidateUser( + id = candidate.userId, + score = Some(candidate.score), + reason = Some( + Reason( + Some( + AccountProof( + popularInGeoProof = Some(PopularInGeoProof(location = candidates.place)) + ) + ) + ) + ) + ) + } + }.getOrElse(Nil) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSourceFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSourceFSConfig.scala new file mode 100644 index 000000000..4d8577522 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSourceFSConfig.scala @@ -0,0 +1,24 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PopGeoQualityFollowSourceFSConfig @Inject() () extends FeatureSwitchConfig { + override val intFSParams: Seq[FSBoundedParam[Int] with FSName] = Seq( + PopGeoQualityFollowSourceParams.PopGeoSourceGeoHashMaxPrecision, + PopGeoQualityFollowSourceParams.PopGeoSourceGeoHashMinPrecision, + PopGeoQualityFollowSourceParams.PopGeoSourceMaxResultsPerPrecision + ) + override val doubleFSParams: Seq[FSBoundedParam[Double] with FSName] = Seq( + PopGeoQualityFollowSourceParams.CandidateSourceWeight + ) + override val booleanFSParams: Seq[FSParam[Boolean] with FSName] = Seq( + PopGeoQualityFollowSourceParams.CandidateSourceEnabled, + PopGeoQualityFollowSourceParams.PopGeoSourceReturnFromAllPrecisions + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSourceParams.scala new file mode 100644 index 000000000..dac92df52 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoQualityFollowSourceParams.scala @@ -0,0 +1,42 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object PopGeoQualityFollowSourceParams { + case object CandidateSourceEnabled + extends FSParam[Boolean]("pop_geo_quality_follow_source_enabled", false) + + case object PopGeoSourceGeoHashMinPrecision + extends FSBoundedParam[Int]( + "pop_geo_quality_follow_source_geo_hash_min_precision", + default = 2, + min = 0, + max = 10) + + case object PopGeoSourceGeoHashMaxPrecision + extends FSBoundedParam[Int]( + "pop_geo_quality_follow_source_geo_hash_max_precision", + default = 3, + min = 0, + max = 10) + + case object PopGeoSourceReturnFromAllPrecisions + extends FSParam[Boolean]( + "pop_geo_quality_follow_source_return_from_all_precisions", + default = false) + + case object PopGeoSourceMaxResultsPerPrecision + extends FSBoundedParam[Int]( + "pop_geo_quality_follow_source_max_results_per_precision", + default = 200, + min = 0, + max = 1000) + + case object CandidateSourceWeight + extends FSBoundedParam[Double]( + "pop_geo_quality_follow_source_weight", + default = 200, + min = 0.001, + max = 2000) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSource.scala new file mode 100644 index 000000000..2db13ed69 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSource.scala @@ -0,0 +1,69 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.base.CachedCandidateSource +import com.twitter.follow_recommendations.common.candidate_sources.base.StratoFetcherWithUnitViewSource +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.PopularInGeoProof +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.hermit.pop_geo.thriftscala.PopUsersInPlace +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.client.Fetcher +import com.twitter.util.Duration +import javax.inject.Inject + +@Singleton +class BasePopGeoSource @Inject() ( + @Named(GuiceNamedConstants.POP_USERS_IN_PLACE_FETCHER) fetcher: Fetcher[ + String, + Unit, + PopUsersInPlace + ]) extends StratoFetcherWithUnitViewSource[String, PopUsersInPlace]( + fetcher, + BasePopGeoSource.Identifier) { + + override def map(target: String, candidates: PopUsersInPlace): Seq[CandidateUser] = + BasePopGeoSource.map(target, candidates) +} + +object BasePopGeoSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier("BasePopGeoSource") + val MaxResults = 200 + + def map(target: String, candidates: PopUsersInPlace): Seq[CandidateUser] = + candidates.popUsers.sortBy(-_.score).take(BasePopGeoSource.MaxResults).view.map { candidate => + CandidateUser( + id = candidate.userId, + score = Some(candidate.score), + reason = Some( + Reason( + Some( + AccountProof( + popularInGeoProof = Some(PopularInGeoProof(location = candidates.place)) + ) + ) + ) + ) + ) + } +} + +@Singleton +class PopGeoSource @Inject() (basePopGeoSource: BasePopGeoSource, statsReceiver: StatsReceiver) + extends CachedCandidateSource[String, CandidateUser]( + basePopGeoSource, + PopGeoSource.MaxCacheSize, + PopGeoSource.CacheTTL, + statsReceiver, + PopGeoSource.Identifier) + +object PopGeoSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier("PopGeoSource") + val MaxCacheSize = 20000 + val CacheTTL: Duration = 1.hours +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSourceFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSourceFSConfig.scala new file mode 100644 index 000000000..ea3f6ce38 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSourceFSConfig.scala @@ -0,0 +1,20 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PopGeoSourceFSConfig @Inject() () extends FeatureSwitchConfig { + override val intFSParams: Seq[FSBoundedParam[Int] with FSName] = Seq( + PopGeoSourceParams.PopGeoSourceGeoHashMaxPrecision, + PopGeoSourceParams.PopGeoSourceMaxResultsPerPrecision, + PopGeoSourceParams.PopGeoSourceGeoHashMinPrecision, + ) + override val booleanFSParams: Seq[FSParam[Boolean] with FSName] = Seq( + PopGeoSourceParams.PopGeoSourceReturnFromAllPrecisions, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSourceParams.scala new file mode 100644 index 000000000..a63e320b4 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeoSourceParams.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object PopGeoSourceParams { + case object PopGeoSourceGeoHashMinPrecision + extends FSBoundedParam[Int]( + "pop_geo_source_geo_hash_min_precision", + default = 2, + min = 0, + max = 10) + + case object PopGeoSourceGeoHashMaxPrecision + extends FSBoundedParam[Int]( + "pop_geo_source_geo_hash_max_precision", + default = 4, + min = 0, + max = 10) + + case object PopGeoSourceReturnFromAllPrecisions + extends FSParam[Boolean]("pop_geo_source_return_from_all_precisions", default = false) + + case object PopGeoSourceMaxResultsPerPrecision + extends FSBoundedParam[Int]( + "pop_geo_source_max_results_per_precision", + default = 200, + min = 0, + max = 1000) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeohashSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeohashSource.scala new file mode 100644 index 000000000..9447b4867 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/PopGeohashSource.scala @@ -0,0 +1,36 @@ +package com.twitter.follow_recommendations.common.candidate_sources.geo + +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import javax.inject.Inject + +@Singleton +class PopGeohashSource @Inject() ( + popGeoSource: PopGeoSource, + statsReceiver: StatsReceiver) + extends BasePopGeohashSource( + popGeoSource = popGeoSource, + statsReceiver = statsReceiver.scope("PopGeohashSource"), + ) { + override def candidateSourceEnabled(target: Target): Boolean = true + override val identifier: CandidateSourceIdentifier = PopGeohashSource.Identifier + override def minGeohashLength(target: Target): Int = { + target.params(PopGeoSourceParams.PopGeoSourceGeoHashMinPrecision) + } + override def maxResults(target: Target): Int = { + target.params(PopGeoSourceParams.PopGeoSourceMaxResultsPerPrecision) + } + override def maxGeohashLength(target: Target): Int = { + target.params(PopGeoSourceParams.PopGeoSourceGeoHashMaxPrecision) + } + override def returnResultFromAllPrecision(target: Target): Boolean = { + target.params(PopGeoSourceParams.PopGeoSourceReturnFromAllPrecisions) + } +} + +object PopGeohashSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.PopGeohash.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/README.md new file mode 100644 index 000000000..13c2f245f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo/README.md @@ -0,0 +1,4 @@ +# Pop Geo Candidate Source +Provides the most followed / quality followed accounts in a specific country and a geolocation within past 2 weeks. +* A "quality follow" refers to any follow that leads to visible engagement, such as favorites, mentions, retweets, direct messages, replies, and quote tweets. The engagement must be allowed in either direction, and must occur on the day of the follow or within one subsequent day. Additionally, there must be no unfollowing, blocking, muting, or reporting of the account in the same time period. +* The minimum geolocation precision used is ±20 km (12 mi), and precise user geolocation is not utilized. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/BUILD new file mode 100644 index 000000000..0ff68490c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/BUILD @@ -0,0 +1,23 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "src/thrift/com/twitter/hermit/candidate:hermit-candidate-scala", + "strato/config/columns/onboarding:onboarding-strato-client", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSource.scala new file mode 100644 index 000000000..e22fb465d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSource.scala @@ -0,0 +1,84 @@ +package com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow.PPMILocaleFollowSourceParams.CandidateSourceEnabled +import com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow.PPMILocaleFollowSourceParams.LocaleToExcludeFromRecommendation +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch + +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.strato.generated.client.onboarding.UserPreferredLanguagesOnUserClientColumn +import com.twitter.strato.generated.client.onboarding.userrecs.LocaleFollowPpmiClientColumn +import com.twitter.timelines.configapi.HasParams + +/** + * Fetches candidates based on the Positive Pointwise Mutual Information (PPMI) statistic + * for a set of locales + * */ +@Singleton +class PPMILocaleFollowSource @Inject() ( + userPreferredLanguagesOnUserClientColumn: UserPreferredLanguagesOnUserClientColumn, + localeFollowPpmiClientColumn: LocaleFollowPpmiClientColumn, + statsReceiver: StatsReceiver) + extends CandidateSource[HasClientContext with HasParams, CandidateUser] { + + override val identifier: CandidateSourceIdentifier = PPMILocaleFollowSource.Identifier + private val stats = statsReceiver.scope("PPMILocaleFollowSource") + + override def apply(target: HasClientContext with HasParams): Stitch[Seq[CandidateUser]] = { + (for { + countryCode <- target.getCountryCode + userId <- target.getOptionalUserId + } yield { + getPreferredLocales(userId, countryCode.toLowerCase()) + .flatMap { locale => + stats.addGauge("allLocale") { + locale.length + } + val filteredLocale = + locale.filter(!target.params(LocaleToExcludeFromRecommendation).contains(_)) + stats.addGauge("postFilterLocale") { + filteredLocale.length + } + if (target.params(CandidateSourceEnabled)) { + getPPMILocaleFollowCandidates(filteredLocale) + } else Stitch(Seq.empty) + } + .map(_.sortBy(_.score)(Ordering[Option[Double]].reverse) + .take(PPMILocaleFollowSource.DefaultMaxCandidatesToReturn)) + }).getOrElse(Stitch.Nil) + } + + private def getPPMILocaleFollowCandidates( + locales: Seq[String] + ): Stitch[Seq[CandidateUser]] = { + Stitch + .traverse(locales) { locale => + // Get PPMI candidates for each locale + localeFollowPpmiClientColumn.fetcher + .fetch(locale) + .map(_.v + .map(_.candidates).getOrElse(Nil).map { candidate => + CandidateUser(id = candidate.userId, score = Some(candidate.score)) + }.map(_.withCandidateSource(identifier))) + }.map(_.flatten) + } + + private def getPreferredLocales(userId: Long, countryCode: String): Stitch[Seq[String]] = { + userPreferredLanguagesOnUserClientColumn.fetcher + .fetch(userId) + .map(_.v.map(_.languages).getOrElse(Nil).map { lang => + s"$countryCode-$lang".toLowerCase + }) + } +} + +object PPMILocaleFollowSource { + val Identifier = CandidateSourceIdentifier(Algorithm.PPMILocaleFollow.toString) + val DefaultMaxCandidatesToReturn = 100 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSourceFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSourceFSConfig.scala new file mode 100644 index 000000000..8a40ca92d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSourceFSConfig.scala @@ -0,0 +1,24 @@ +package com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PPMILocaleFollowSourceFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = Seq( + PPMILocaleFollowSourceParams.CandidateSourceEnabled, + ) + + override val stringSeqFSParams: Seq[Param[Seq[String]] with FSName] = Seq( + PPMILocaleFollowSourceParams.LocaleToExcludeFromRecommendation, + ) + + override val doubleFSParams: Seq[FSBoundedParam[Double]] = Seq( + PPMILocaleFollowSourceParams.CandidateSourceWeight, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSourceParams.scala new file mode 100644 index 000000000..18aac545d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/PPMILocaleFollowSourceParams.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +class PPMILocaleFollowSourceParams {} +object PPMILocaleFollowSourceParams { + case object LocaleToExcludeFromRecommendation + extends FSParam[Seq[String]]( + "ppmilocale_follow_source_locales_to_exclude_from_recommendation", + default = Seq.empty) + + case object CandidateSourceEnabled + extends FSParam[Boolean]("ppmilocale_follow_source_enabled", true) + + case object CandidateSourceWeight + extends FSBoundedParam[Double]( + "ppmilocale_follow_source_candidate_source_weight", + default = 1, + min = 0.001, + max = 2000) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/README.md new file mode 100644 index 000000000..48cbee112 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow/README.md @@ -0,0 +1,6 @@ +# PPMI Locale Follow Candidate Source +Provides accounts based on PPMI ([Positive Pointwise Mutual Information](https://en.wikipedia.org/wiki/Pointwise_mutual_information#Positive_PMI)) using follow actions as a feature for a specific local (language + country) within a week. In simpler terms, it provides a list of the most followed accounts for a given country and language input, based on the PPMI algorithm. + +PPMI is a statistical measure of the association between two events. In this case, it measures the association between the follow actions and the accounts being followed. + +In summary, the service utilizes PPMI and follow actions to provide a list of the most followed accounts for a specific country and language input. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/BUILD new file mode 100644 index 000000000..27caedd22 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/BUILD @@ -0,0 +1,11 @@ +scala_library( + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "src/thrift/com/twitter/socialgraph:thrift-scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/PromotedAccountsCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/PromotedAccountsCandidateSource.scala new file mode 100644 index 000000000..ff2ad4cd9 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/PromotedAccountsCandidateSource.scala @@ -0,0 +1,111 @@ +package com.twitter.follow_recommendations.common.candidate_sources.promoted_accounts + +import com.twitter.adserver.thriftscala.AdServerException +import com.twitter.adserver.{thriftscala => adthrift} +import com.twitter.finagle.TimeoutException +import com.twitter.finagle.stats.Counter +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.clients.adserver.AdRequest +import com.twitter.follow_recommendations.common.clients.adserver.AdserverClient +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.hermit.model.Algorithm +import com.twitter.inject.Logging +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +case class PromotedCandidateUser( + id: Long, + position: Int, + adImpression: adthrift.AdImpression, + followProof: FollowProof, + primaryCandidateSource: Option[CandidateSourceIdentifier]) + +@Singleton +class PromotedAccountsCandidateSource @Inject() ( + adserverClient: AdserverClient, + sgsClient: SocialGraphClient, + statsReceiver: StatsReceiver) + extends CandidateSource[AdRequest, PromotedCandidateUser] + with Logging { + + override val identifier: CandidateSourceIdentifier = + PromotedAccountsCandidateSource.Identifier + + val stats: StatsReceiver = statsReceiver.scope(identifier.name) + val failureStat: StatsReceiver = stats.scope("failures") + val adServerExceptionsCounter: Counter = failureStat.counter("AdServerException") + val timeoutCounter: Counter = failureStat.counter("TimeoutException") + + def apply(request: AdRequest): Stitch[Seq[PromotedCandidateUser]] = { + adserverClient + .getAdImpressions(request) + .rescue { + case e: TimeoutException => + timeoutCounter.incr() + logger.warn("Timeout on Adserver", e) + Stitch.Nil + case e: AdServerException => + adServerExceptionsCounter.incr() + logger.warn("Failed to fetch ads", e) + Stitch.Nil + } + .flatMap { adImpressions: Seq[adthrift.AdImpression] => + profileNumResults(adImpressions.size, "results_from_ad_server") + val idToImpMap = (for { + imp <- adImpressions + promotedAccountId <- imp.promotedAccountId + } yield promotedAccountId -> imp).toMap + request.clientContext.userId + .map { userId => + sgsClient + .getIntersections( + userId, + adImpressions.filter(shouldShowSocialContext).flatMap(_.promotedAccountId), + PromotedAccountsCandidateSource.NumIntersections + ).map { promotedAccountWithIntersections => + idToImpMap.map { + case (promotedAccountId, imp) => + PromotedCandidateUser( + promotedAccountId, + imp.insertionPosition + .map(_.toInt).getOrElse( + getInsertionPositionDefaultValue(request.isTest.getOrElse(false)) + ), + imp, + promotedAccountWithIntersections + .getOrElse(promotedAccountId, FollowProof(Nil, 0)), + Some(identifier) + ) + }.toSeq + }.onSuccess(result => profileNumResults(result.size, "final_results")) + }.getOrElse(Stitch.Nil) + } + } + + private def shouldShowSocialContext(imp: adthrift.AdImpression): Boolean = + imp.experimentValues.exists { expValues => + expValues.get("display.display_style").contains("show_social_context") + } + + private def getInsertionPositionDefaultValue(isTest: Boolean): Int = { + if (isTest) 0 else -1 + } + + private def profileNumResults(resultsSize: Int, statName: String): Unit = { + if (resultsSize <= 5) { + stats.scope(statName).counter(resultsSize.toString).incr() + } else { + stats.scope(statName).counter("more_than_5").incr() + } + } +} + +object PromotedAccountsCandidateSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.PromotedAccount.toString) + val NumIntersections = 3 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/README.md new file mode 100644 index 000000000..1091e1d88 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts/README.md @@ -0,0 +1,2 @@ +# Promoted Accounts Candidate Source +Promoted accounts returned from Ads server. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/BUILD new file mode 100644 index 000000000..07c3c6665 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/BUILD @@ -0,0 +1,24 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "strato/config/columns/onboarding/realGraph:realGraph-strato-client", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/config/columns/recommendations/twistly:twistly-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/README.md new file mode 100644 index 000000000..4ba5a8c11 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/README.md @@ -0,0 +1,6 @@ +# RealGraph Candidate Source +Provides out-of-network RealGraph candidates for a given user. RealGraph is a user-user graph dataset that aims to measure the strength of the relationship between two users. + +RealGraph comprises two components: a real-time pipeline that tracks various counts and relationships between user-user edges (such as the number of favorites, replies, retweets, clicks, whether followed, muted, or blocked), and an offline pipeline of a larger set of such user-user edge counts and relationships. Currently, the top k in-network scores have been exported for use by various teams. + +The RealGraph dataset is used to predict user interactions at Twitter, and is based on the paper "[Realgraph: User interaction prediction at Twitter](http://www.ueo-workshop.com/wp-content/uploads/2014/04/sig-alternate.pdf)" by the UEO workshop at KDD'14. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonFSConfig.scala new file mode 100644 index 000000000..df9c8ac68 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonFSConfig.scala @@ -0,0 +1,27 @@ +package com.twitter.follow_recommendations.common.candidate_sources.real_graph + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RealGraphOonFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = + Seq( + RealGraphOonParams.IncludeRealGraphOonCandidates, + RealGraphOonParams.TryToReadRealGraphOonCandidates, + RealGraphOonParams.UseV2 + ) + override val doubleFSParams: Seq[FSBoundedParam[Double]] = + Seq( + RealGraphOonParams.ScoreThreshold + ) + override val intFSParams: Seq[FSBoundedParam[Int]] = + Seq( + RealGraphOonParams.RealGraphOonResultCountThreshold, + RealGraphOonParams.MaxResults, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonParams.scala new file mode 100644 index 000000000..feaa1d7c7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonParams.scala @@ -0,0 +1,47 @@ +package com.twitter.follow_recommendations.common.candidate_sources.real_graph + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object RealGraphOonParams { + case object IncludeRealGraphOonCandidates + extends FSParam[Boolean]( + "real_graph_oon_include_candidates", + false + ) + case object TryToReadRealGraphOonCandidates + extends FSParam[Boolean]( + "real_graph_oon_try_to_read_candidates", + false + ) + case object RealGraphOonResultCountThreshold + extends FSBoundedParam[Int]( + "real_graph_oon_result_count_threshold", + default = 1, + min = 0, + max = Integer.MAX_VALUE + ) + + case object UseV2 + extends FSParam[Boolean]( + "real_graph_oon_use_v2", + false + ) + + case object ScoreThreshold + extends FSBoundedParam[Double]( + "real_graph_oon_score_threshold", + default = 0.26, + min = 0, + max = 1.0 + ) + + case object MaxResults + extends FSBoundedParam[Int]( + "real_graph_oon_max_results", + default = 200, + min = 0, + max = 1000 + ) + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonV2Source.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonV2Source.scala new file mode 100644 index 000000000..3c709770c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphOonV2Source.scala @@ -0,0 +1,58 @@ +package com.twitter.follow_recommendations.common.candidate_sources.real_graph + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.realGraph.UserRealgraphOonV2ClientColumn +import com.twitter.timelines.configapi.HasParams +import com.twitter.wtf.candidate.thriftscala.CandidateSeq +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RealGraphOonV2Source @Inject() ( + realGraphClientColumn: UserRealgraphOonV2ClientColumn) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] { + + override val identifier: CandidateSourceIdentifier = + RealGraphOonV2Source.Identifier + + override def apply(request: HasParams with HasClientContext): Stitch[Seq[CandidateUser]] = { + request.getOptionalUserId + .map { userId => + realGraphClientColumn.fetcher + .fetch(userId) + .map { result => + result.v + .map { candidates => parseStratoResults(request, candidates) } + .getOrElse(Nil) + // returned candidates are sorted by score in descending order + .take(request.params(RealGraphOonParams.MaxResults)) + .map(_.withCandidateSource(identifier)) + } + }.getOrElse(Stitch(Seq.empty)) + } + + private def parseStratoResults( + request: HasParams with HasClientContext, + candidateSeqThrift: CandidateSeq + ): Seq[CandidateUser] = { + candidateSeqThrift.candidates.collect { + case candidate if candidate.score >= request.params(RealGraphOonParams.ScoreThreshold) => + CandidateUser( + candidate.userId, + Some(candidate.score) + ) + } + } + +} + +object RealGraphOonV2Source { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.RealGraphOonV2.toString + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphSource.scala new file mode 100644 index 000000000..7aa2aa8af --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph/RealGraphSource.scala @@ -0,0 +1,40 @@ +package com.twitter.follow_recommendations.common.candidate_sources.real_graph + +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.RealTimeRealGraphClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +/** + * This source gets the already followed edges from the real graph column as a candidate source. + */ +@Singleton +class RealGraphSource @Inject() ( + realGraph: RealTimeRealGraphClient) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] { + override val identifier: CandidateSourceIdentifier = RealGraphSource.Identifier + + override def apply(request: HasParams with HasClientContext): Stitch[Seq[CandidateUser]] = { + request.getOptionalUserId + .map { userId => + realGraph.getRealGraphWeights(userId).map { scoreMap => + scoreMap.map { + case (candidateId, realGraphScore) => + CandidateUser(id = candidateId, score = Some(realGraphScore)) + .withCandidateSource(identifier) + }.toSeq + } + }.getOrElse(Stitch.Nil) + } +} + +object RealGraphSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.RealGraphFollowed.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/BUILD new file mode 100644 index 000000000..b2764c42e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/BUILD @@ -0,0 +1,29 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "discovery-ds/src/main/thrift/com/twitter/dds/jobs/repeated_profile_visits:profile_visit-scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/model", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier", + "src/thrift/com/twitter/experiments/general_metrics:general_metrics-scala", + "strato/config/columns/rux:rux-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/README.md new file mode 100644 index 000000000..616a3f7ed --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/README.md @@ -0,0 +1,4 @@ +# Recent Engagement Candidate Source +Provides recently engaged accounts for a given user: +* Explicit engagements: like, retweet, reply +* Implicit engagements: profile visit diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RecentEngagementDirectFollowSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RecentEngagementDirectFollowSource.scala new file mode 100644 index 000000000..edfaac5e6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RecentEngagementDirectFollowSource.scala @@ -0,0 +1,38 @@ +package com.twitter.follow_recommendations.common.candidate_sources.recent_engagement + +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.RealTimeRealGraphClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RecentEngagementDirectFollowSource @Inject() ( + realTimeRealGraphClient: RealTimeRealGraphClient) + extends CandidateSource[Long, CandidateUser] { + + val identifier: CandidateSourceIdentifier = + RecentEngagementDirectFollowSource.Identifier + + /** + * Generate a list of candidates for the target using RealtimeGraphClient + * and RecentEngagementStore. + */ + override def apply(targetUserId: Long): Stitch[Seq[CandidateUser]] = { + realTimeRealGraphClient + .getUsersRecentlyEngagedWith( + userId = targetUserId, + engagementScoreMap = RealTimeRealGraphClient.EngagementScoreMap, + includeDirectFollowCandidates = true, + includeNonDirectFollowCandidates = false + ) + .map(_.map(_.withCandidateSource(identifier)).sortBy(-_.score.getOrElse(0.0))) + } +} + +object RecentEngagementDirectFollowSource { + val Identifier = CandidateSourceIdentifier(Algorithm.RecentEngagementDirectFollow.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RecentEngagementNonDirectFollowSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RecentEngagementNonDirectFollowSource.scala new file mode 100644 index 000000000..46572da71 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RecentEngagementNonDirectFollowSource.scala @@ -0,0 +1,38 @@ +package com.twitter.follow_recommendations.common.candidate_sources.recent_engagement + +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.RealTimeRealGraphClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RecentEngagementNonDirectFollowSource @Inject() ( + realTimeRealGraphClient: RealTimeRealGraphClient) + extends CandidateSource[Long, CandidateUser] { + + val identifier: CandidateSourceIdentifier = + RecentEngagementNonDirectFollowSource.Identifier + + /** + * Generate a list of candidates for the target using RealtimeGraphClient + * and RecentEngagementStore. + */ + override def apply(targetUserId: Long): Stitch[Seq[CandidateUser]] = { + realTimeRealGraphClient + .getUsersRecentlyEngagedWith( + userId = targetUserId, + engagementScoreMap = RealTimeRealGraphClient.EngagementScoreMap, + includeDirectFollowCandidates = false, + includeNonDirectFollowCandidates = true + ) + .map(_.map(_.withCandidateSource(identifier)).sortBy(-_.score.getOrElse(0.0))) + } +} + +object RecentEngagementNonDirectFollowSource { + val Identifier = CandidateSourceIdentifier(Algorithm.RecentEngagementNonDirectFollow.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsFSConfig.scala new file mode 100644 index 000000000..5aaccae2b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsFSConfig.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.common.candidate_sources.recent_engagement + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RepeatedProfileVisitsFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = + Seq( + RepeatedProfileVisitsParams.IncludeCandidates, + RepeatedProfileVisitsParams.UseOnlineDataset, + ) + override val intFSParams: Seq[FSBoundedParam[Int]] = + Seq( + RepeatedProfileVisitsParams.RecommendationThreshold, + RepeatedProfileVisitsParams.BucketingThreshold, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsParams.scala new file mode 100644 index 000000000..5402d38f4 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsParams.scala @@ -0,0 +1,37 @@ +package com.twitter.follow_recommendations.common.candidate_sources.recent_engagement + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object RepeatedProfileVisitsParams { + + // If RepeatedProfileVisitsSource is run and there are recommended candidates for the target user, whether or not + // to actually include such candidates in our output recommendations. This FS will be used to control bucketing of + // users into control vs treatment buckets. + case object IncludeCandidates + extends FSParam[Boolean](name = "repeated_profile_visits_include_candidates", default = false) + + // The threshold at or above which we will consider a profile to have been visited "frequently enough" to recommend + // the profile to the target user. + case object RecommendationThreshold + extends FSBoundedParam[Int]( + name = "repeated_profile_visits_recommendation_threshold", + default = 3, + min = 0, + max = Integer.MAX_VALUE) + + // The threshold at or above which we will consider a profile to have been visited "frequently enough" to recommend + // the profile to the target user. + case object BucketingThreshold + extends FSBoundedParam[Int]( + name = "repeated_profile_visits_bucketing_threshold", + default = 3, + min = 0, + max = Integer.MAX_VALUE) + + // Whether or not to use the online dataset (which has repeated profile visits information updated to within minutes) + // instead of the offline dataset (updated via offline jobs, which can have delays of hours to days). + case object UseOnlineDataset + extends FSParam[Boolean](name = "repeated_profile_visits_use_online_dataset", default = true) + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsSource.scala new file mode 100644 index 000000000..c4b4aa3e7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement/RepeatedProfileVisitsSource.scala @@ -0,0 +1,157 @@ +package com.twitter.follow_recommendations.common.candidate_sources.recent_engagement + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.dds.jobs.repeated_profile_visits.thriftscala.ProfileVisitorInfo +import com.twitter.experiments.general_metrics.thriftscala.IdType +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.Engagement +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.RealTimeRealGraphClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params +import com.twitter.hermit.model.Algorithm +import com.twitter.inject.Logging +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.rux.RepeatedProfileVisitsAggregateClientColumn + +@Singleton +class RepeatedProfileVisitsSource @Inject() ( + repeatedProfileVisitsAggregateClientColumn: RepeatedProfileVisitsAggregateClientColumn, + realTimeRealGraphClient: RealTimeRealGraphClient, + statsReceiver: StatsReceiver) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] + with Logging { + + val identifier: CandidateSourceIdentifier = + RepeatedProfileVisitsSource.Identifier + + val sourceStatsReceiver = statsReceiver.scope("repeated_profile_visits_source") + val offlineFetchErrorCounter = sourceStatsReceiver.counter("offline_fetch_error") + val offlineFetchSuccessCounter = sourceStatsReceiver.counter("offline_fetch_success") + val onlineFetchErrorCounter = sourceStatsReceiver.counter("online_fetch_error") + val onlineFetchSuccessCounter = sourceStatsReceiver.counter("online_fetch_success") + val noRepeatedProfileVisitsAboveBucketingThresholdCounter = + sourceStatsReceiver.counter("no_repeated_profile_visits_above_bucketing_threshold") + val hasRepeatedProfileVisitsAboveBucketingThresholdCounter = + sourceStatsReceiver.counter("has_repeated_profile_visits_above_bucketing_threshold") + val noRepeatedProfileVisitsAboveRecommendationsThresholdCounter = + sourceStatsReceiver.counter("no_repeated_profile_visits_above_recommendations_threshold") + val hasRepeatedProfileVisitsAboveRecommendationsThresholdCounter = + sourceStatsReceiver.counter("has_repeated_profile_visits_above_recommendations_threshold") + val includeCandidatesCounter = sourceStatsReceiver.counter("include_candidates") + val noIncludeCandidatesCounter = sourceStatsReceiver.counter("no_include_candidates") + + // Returns visited user -> visit count, via off dataset. + def applyWithOfflineDataset(targetUserId: Long): Stitch[Map[Long, Int]] = { + repeatedProfileVisitsAggregateClientColumn.fetcher + .fetch(ProfileVisitorInfo(id = targetUserId, idType = IdType.User)).map(_.v) + .handle { + case e: Throwable => + logger.error("Strato fetch for RepeatedProfileVisitsAggregateClientColumn failed: " + e) + offlineFetchErrorCounter.incr() + None + }.onSuccess { result => + offlineFetchSuccessCounter.incr() + }.map { resultOption => + resultOption + .flatMap { result => + result.profileVisitSet.map { profileVisitSet => + profileVisitSet + .filter(profileVisit => profileVisit.totalTargetVisitsInLast14Days.getOrElse(0) > 0) + .filter(profileVisit => !profileVisit.doesSourceIdFollowTargetId.getOrElse(false)) + .flatMap { profileVisit => + (profileVisit.targetId, profileVisit.totalTargetVisitsInLast14Days) match { + case (Some(targetId), Some(totalVisitsInLast14Days)) => + Some(targetId -> totalVisitsInLast14Days) + case _ => None + } + }.toMap[Long, Int] + } + }.getOrElse(Map.empty) + } + } + + // Returns visited user -> visit count, via online dataset. + def applyWithOnlineData(targetUserId: Long): Stitch[Map[Long, Int]] = { + val visitedUserToEngagementsStitch: Stitch[Map[Long, Seq[Engagement]]] = + realTimeRealGraphClient.getRecentProfileViewEngagements(targetUserId) + visitedUserToEngagementsStitch + .onFailure { f => + onlineFetchErrorCounter.incr() + }.onSuccess { result => + onlineFetchSuccessCounter.incr() + }.map { visitedUserToEngagements => + visitedUserToEngagements + .mapValues(engagements => engagements.size) + } + } + + def getRepeatedVisitedAccounts(params: Params, targetUserId: Long): Stitch[Map[Long, Int]] = { + var results: Stitch[Map[Long, Int]] = Stitch.value(Map.empty) + if (params.getBoolean(RepeatedProfileVisitsParams.UseOnlineDataset)) { + results = applyWithOnlineData(targetUserId) + } else { + results = applyWithOfflineDataset(targetUserId) + } + // Only keep users that had non-zero engagement counts. + results.map(_.filter(input => input._2 > 0)) + } + + def getRecommendations(params: Params, userId: Long): Stitch[Seq[CandidateUser]] = { + val recommendationThreshold = params.getInt(RepeatedProfileVisitsParams.RecommendationThreshold) + val bucketingThreshold = params.getInt(RepeatedProfileVisitsParams.BucketingThreshold) + + // Get the list of repeatedly visited profilts. Only keep accounts with >= bucketingThreshold visits. + val repeatedVisitedAccountsStitch: Stitch[Map[Long, Int]] = + getRepeatedVisitedAccounts(params, userId).map(_.filter(kv => kv._2 >= bucketingThreshold)) + + repeatedVisitedAccountsStitch.map { candidates => + // Now check if we should includeCandidates (e.g. whether user is in control bucket or treatment buckets). + if (candidates.isEmpty) { + // User has not visited any accounts above bucketing threshold. We will not bucket user into experiment. Just + // don't return no candidates. + noRepeatedProfileVisitsAboveBucketingThresholdCounter.incr() + Seq.empty + } else { + hasRepeatedProfileVisitsAboveBucketingThresholdCounter.incr() + if (!params.getBoolean(RepeatedProfileVisitsParams.IncludeCandidates)) { + // User has reached bucketing criteria. We check whether to include candidates (e.g. checking which bucket + // the user is in for the experiment). In this case the user is in a bucket to not include any candidates. + noIncludeCandidatesCounter.incr() + Seq.empty + } else { + includeCandidatesCounter.incr() + // We should include candidates. Include any candidates above recommendation thresholds. + val outputCandidatesSeq = candidates + .filter(kv => kv._2 >= recommendationThreshold).map { kv => + val user = kv._1 + val visitCount = kv._2 + CandidateUser(user, Some(visitCount.toDouble)) + .withCandidateSource(RepeatedProfileVisitsSource.Identifier) + }.toSeq + if (outputCandidatesSeq.isEmpty) { + noRepeatedProfileVisitsAboveRecommendationsThresholdCounter.incr() + } else { + hasRepeatedProfileVisitsAboveRecommendationsThresholdCounter.incr() + } + outputCandidatesSeq + } + } + } + } + + override def apply(request: HasParams with HasClientContext): Stitch[Seq[CandidateUser]] = { + request.getOptionalUserId + .map { userId => + getRecommendations(request.params, userId) + }.getOrElse(Stitch.Nil) + } +} + +object RepeatedProfileVisitsSource { + val Identifier = CandidateSourceIdentifier(Algorithm.RepeatedProfileVisits.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/BUILD new file mode 100644 index 000000000..78a5729e2 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/BUILD @@ -0,0 +1,21 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "src/thrift/com/twitter/onboarding/relevance/candidates:candidates-scala", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/README.md new file mode 100644 index 000000000..fb6d032d8 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/README.md @@ -0,0 +1,10 @@ +# SALSA Candidate Source +Provides an account expansion based on the SALSA PYMK (People You May Know) algorithm for a given account. The algorithm focuses on the mutual follow and address book graph, making it highly effective at providing good mutual follow recommendations. + +The SALSA algorithm constructs a local graph and performs personalized random walks to identify the best recommendations for the user. The local graph represents the community of users that are most similar to or most relevant to the user, while the personalized random walk identifies the most popular interests among them. + +For each target user, the local graph is a bipartite graph with a left-hand side (LHS) and a right-hand side (RHS). The LHS is built from several sources, including the target user, forward and reverse address books, mutual follows, recent followings, and recent followers. We choose a specified number of top candidates from these sources for each target user with different weights assigned to each source to favor the corresponding source, and build the LHS using the target user and those top candidates. The RHS consists of two parts: the top candidates from the sources mentioned above for the target user and the mutual follows of the other entries in the LHS. + +The random walk starts from the target user in the LHS and adopts a restarting strategy to realize personalization. + +In summary, the SALSA Candidate Source provides an account expansion based on the SALSA PYMK algorithm, utilizing a bipartite graph with personalized random walks to identify the most relevant and interesting recommendations for the user. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/RecentEngagementDirectFollowSalsaExpansionSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/RecentEngagementDirectFollowSalsaExpansionSource.scala new file mode 100644 index 000000000..91fbba2ba --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/RecentEngagementDirectFollowSalsaExpansionSource.scala @@ -0,0 +1,40 @@ +package com.twitter.follow_recommendations.common.candidate_sources.salsa + +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.RealTimeRealGraphClient +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RecentEngagementDirectFollowSalsaExpansionSource @Inject() ( + realTimeRealGraphClient: RealTimeRealGraphClient, + salsaExpander: SalsaExpander) + extends SalsaExpansionBasedCandidateSource[Long](salsaExpander) { + + override val identifier: CandidateSourceIdentifier = + RecentEngagementDirectFollowSalsaExpansionSource.Identifier + + override def firstDegreeNodes(target: Long): Stitch[Seq[Long]] = realTimeRealGraphClient + .getUsersRecentlyEngagedWith( + target, + RealTimeRealGraphClient.EngagementScoreMap, + includeDirectFollowCandidates = true, + includeNonDirectFollowCandidates = false + ).map { recentlyFollowed => + recentlyFollowed + .take(RecentEngagementDirectFollowSalsaExpansionSource.NumFirstDegreeNodesToRetrieve) + .map(_.id) + } + + override def maxResults(target: Long): Int = + RecentEngagementDirectFollowSalsaExpansionSource.OutputSize +} + +object RecentEngagementDirectFollowSalsaExpansionSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.RecentEngagementSarusOcCur.toString) + val NumFirstDegreeNodesToRetrieve = 10 + val OutputSize = 200 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/SalsaExpander.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/SalsaExpander.scala new file mode 100644 index 000000000..a9390826e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/SalsaExpander.scala @@ -0,0 +1,117 @@ +package com.twitter.follow_recommendations.common.candidate_sources.salsa + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.strato.generated.client.onboarding.userrecs.SalsaFirstDegreeOnUserClientColumn +import com.twitter.strato.generated.client.onboarding.userrecs.SalsaSecondDegreeOnUserClientColumn +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.stitch.Stitch +import com.twitter.wtf.candidate.thriftscala.Candidate +import javax.inject.Inject +import javax.inject.Singleton + +case class SalsaExpandedCandidate( + candidateId: Long, + numberOfConnections: Int, + totalScore: Double, + connectingUsers: Seq[Long]) { + def toCandidateUser: CandidateUser = + CandidateUser( + id = candidateId, + score = Some(totalScore), + reason = Some(Reason( + Some(AccountProof(followProof = Some(FollowProof(connectingUsers, connectingUsers.size)))))) + ) +} + +case class SimilarUserCandidate(candidateId: Long, score: Double, similarToCandidate: Long) + +/** + * Salsa expander uses pre-computed lists of candidates for each input user id and returns the highest scored candidates in the pre-computed lists as the expansion for the corresponding input id. + */ +@Singleton +class SalsaExpander @Inject() ( + statsReceiver: StatsReceiver, + firstDegreeClient: SalsaFirstDegreeOnUserClientColumn, + secondDegreeClient: SalsaSecondDegreeOnUserClientColumn, +) { + + val stats = statsReceiver.scope("salsa_expander") + + private def similarUsers( + input: Seq[Long], + neighbors: Seq[Option[Seq[Candidate]]] + ): Seq[SalsaExpandedCandidate] = { + input + .zip(neighbors).flatMap { + case (recId, Some(neighbors)) => + neighbors.map(neighbor => SimilarUserCandidate(neighbor.userId, neighbor.score, recId)) + case _ => Nil + }.groupBy(_.candidateId).map { + case (key, neighbors) => + val scores = neighbors.map(_.score) + val connectingUsers = neighbors + .sortBy(-_.score) + .take(SalsaExpander.MaxConnectingUsersToOutputPerExpandedCandidate) + .map(_.similarToCandidate) + + SalsaExpandedCandidate(key, scores.size, scores.sum, connectingUsers) + } + .filter( + _.numberOfConnections >= math + .min(SalsaExpander.MinConnectingUsersThreshold, input.size) + ) + .toSeq + } + + def apply( + firstDegreeInput: Seq[Long], + secondDegreeInput: Seq[Long], + maxNumOfCandidatesToReturn: Int + ): Stitch[Seq[CandidateUser]] = { + + val firstDegreeNeighborsStitch = + Stitch + .collect(firstDegreeInput.map(firstDegreeClient.fetcher + .fetch(_).map(_.v.map(_.candidates.take(SalsaExpander.MaxDirectNeighbors))))).onSuccess { + firstDegreeNeighbors => + stats.stat("first_degree_neighbors").add(firstDegreeNeighbors.flatten.size) + } + + val secondDegreeNeighborsStitch = + Stitch + .collect( + secondDegreeInput.map( + secondDegreeClient.fetcher + .fetch(_).map( + _.v.map(_.candidates.take(SalsaExpander.MaxIndirectNeighbors))))).onSuccess { + secondDegreeNeighbors => + stats.stat("second_degree_neighbors").add(secondDegreeNeighbors.flatten.size) + } + + val neighborStitches = + Stitch.join(firstDegreeNeighborsStitch, secondDegreeNeighborsStitch).map { + case (first, second) => first ++ second + } + + val similarUsersToInput = neighborStitches.map { neighbors => + similarUsers(firstDegreeInput ++ secondDegreeInput, neighbors) + } + + similarUsersToInput.map { + // Rank the candidate cot users by the combined weights from the connecting users. This is the default original implementation. It is unlikely to have weight ties and thus a second ranking function is not necessary. + _.sortBy(-_.totalScore) + .take(maxNumOfCandidatesToReturn) + .map(_.toCandidateUser) + } + } +} + +object SalsaExpander { + val MaxDirectNeighbors = 2000 + val MaxIndirectNeighbors = 2000 + val MinConnectingUsersThreshold = 2 + val MaxConnectingUsersToOutputPerExpandedCandidate = 3 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/SalsaExpansionBasedCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/SalsaExpansionBasedCandidateSource.scala new file mode 100644 index 000000000..b299b966d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa/SalsaExpansionBasedCandidateSource.scala @@ -0,0 +1,32 @@ +package com.twitter.follow_recommendations.common.candidate_sources.salsa + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.stitch.Stitch + +abstract class SalsaExpansionBasedCandidateSource[Target](salsaExpander: SalsaExpander) + extends CandidateSource[Target, CandidateUser] { + + // Define first/second degree as empty sequences in cases of subclasses + // that don't implement one or the other. + // Example: MagicRecs only uses first degree nodes, and can ignore implementing secondDegreeNodes + // + // This allows apply(target) to combine both in the base class + def firstDegreeNodes(target: Target): Stitch[Seq[Long]] = Stitch.value(Seq()) + + def secondDegreeNodes(target: Target): Stitch[Seq[Long]] = Stitch.value(Seq()) + + // max number output results + def maxResults(target: Target): Int + + override def apply(target: Target): Stitch[Seq[CandidateUser]] = { + val nodes = Stitch.join(firstDegreeNodes(target), secondDegreeNodes(target)) + + nodes.flatMap { + case (firstDegreeCandidates, secondDegreeCandidates) => { + salsaExpander(firstDegreeCandidates, secondDegreeCandidates, maxResults(target)) + .map(_.map(_.withCandidateSource(identifier)).sortBy(-_.score.getOrElse(0.0))) + } + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/BUILD new file mode 100644 index 000000000..15c4eb94d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/BUILD @@ -0,0 +1,24 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "src/thrift/com/twitter/hermit/candidate:hermit-candidate-scala", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/config/columns/recommendations/follow2vec:follow2vec-strato-client", + "strato/config/columns/recommendations/similarity:similarity-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/CacheBasedSimsStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/CacheBasedSimsStore.scala new file mode 100644 index 000000000..03894b533 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/CacheBasedSimsStore.scala @@ -0,0 +1,50 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.twitter.escherbird.util.stitchcache.StitchCache +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.hermit.candidate.thriftscala.Candidates +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Duration + +import java.lang.{Long => JLong} + +class CacheBasedSimsStore( + id: CandidateSourceIdentifier, + fetcher: Fetcher[Long, Unit, Candidates], + maxCacheSize: Int, + cacheTtl: Duration, + statsReceiver: StatsReceiver) + extends CandidateSource[HasParams with HasSimilarToContext, CandidateUser] { + + override val identifier: CandidateSourceIdentifier = id + private def getUsersFromSimsSource(userId: JLong): Stitch[Option[Candidates]] = { + fetcher + .fetch(userId) + .map(_.v) + } + + private val simsCache = StitchCache[JLong, Option[Candidates]]( + maxCacheSize = maxCacheSize, + ttl = cacheTtl, + statsReceiver = statsReceiver, + underlyingCall = getUsersFromSimsSource + ) + + override def apply(request: HasParams with HasSimilarToContext): Stitch[Seq[CandidateUser]] = { + Stitch + .traverse(request.similarToUserIds) { userId => + simsCache.readThrough(userId).map { candidatesOpt => + candidatesOpt + .map { candidates => + StratoBasedSimsCandidateSource.map(userId, candidates) + }.getOrElse(Nil) + } + }.map(_.flatten.distinct.map(_.withCandidateSource(identifier))) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/DBV2SimsRefreshStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/DBV2SimsRefreshStore.scala new file mode 100644 index 000000000..3d59e6e0d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/DBV2SimsRefreshStore.scala @@ -0,0 +1,35 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.generated.client.onboarding.userrecs.NewSimsRefreshOnUserClientColumn +import com.twitter.util.Duration + +import javax.inject.Inject + +@Singleton +class DBV2SimsRefreshStore @Inject() ( + newSimsRefreshOnUserClientColumn: NewSimsRefreshOnUserClientColumn) + extends StratoBasedSimsCandidateSourceWithUnitView( + fetcher = newSimsRefreshOnUserClientColumn.fetcher, + identifier = DBV2SimsRefreshStore.Identifier) + +@Singleton +class CachedDBV2SimsRefreshStore @Inject() ( + newSimsRefreshOnUserClientColumn: NewSimsRefreshOnUserClientColumn, + statsReceiver: StatsReceiver) + extends CacheBasedSimsStore( + id = DBV2SimsRefreshStore.Identifier, + fetcher = newSimsRefreshOnUserClientColumn.fetcher, + maxCacheSize = DBV2SimsRefreshStore.MaxCacheSize, + cacheTtl = DBV2SimsRefreshStore.CacheTTL, + statsReceiver = statsReceiver.scope("CachedDBV2SimsRefreshStore", "cache") + ) + +object DBV2SimsRefreshStore { + val Identifier = CandidateSourceIdentifier(Algorithm.Sims.toString) + val MaxCacheSize = 5000 + val CacheTTL: Duration = Duration.fromHours(24) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/DBV2SimsStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/DBV2SimsStore.scala new file mode 100644 index 000000000..ae291eddc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/DBV2SimsStore.scala @@ -0,0 +1,38 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.hermit.candidate.thriftscala.Candidates +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.client.Fetcher +import com.twitter.util.Duration + +import javax.inject.Inject + +@Singleton +class DBV2SimsStore @Inject() ( + @Named(GuiceNamedConstants.DBV2_SIMS_FETCHER) fetcher: Fetcher[Long, Unit, Candidates]) + extends StratoBasedSimsCandidateSourceWithUnitView( + fetcher, + identifier = DBV2SimsStore.Identifier) + +@Singleton +class CachedDBV2SimsStore @Inject() ( + @Named(GuiceNamedConstants.DBV2_SIMS_FETCHER) fetcher: Fetcher[Long, Unit, Candidates], + statsReceiver: StatsReceiver) + extends CacheBasedSimsStore( + id = DBV2SimsStore.Identifier, + fetcher = fetcher, + maxCacheSize = DBV2SimsStore.MaxCacheSize, + cacheTtl = DBV2SimsStore.CacheTTL, + statsReceiver = statsReceiver.scope("CachedDBV2SimsStore", "cache") + ) + +object DBV2SimsStore { + val Identifier = CandidateSourceIdentifier(Algorithm.Sims.toString) + val MaxCacheSize = 1000 + val CacheTTL: Duration = Duration.fromHours(24) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/Follow2vecNearestNeighborsStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/Follow2vecNearestNeighborsStore.scala new file mode 100644 index 000000000..14131ffd3 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/Follow2vecNearestNeighborsStore.scala @@ -0,0 +1,69 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.candidate_sources.sims.Follow2vecNearestNeighborsStore.NearestNeighborParamsType +import com.twitter.hermit.candidate.thriftscala.Candidate +import com.twitter.hermit.candidate.thriftscala.Candidates +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.strato.catalog.Fetch +import com.twitter.strato.client.Fetcher +import com.twitter.strato.generated.client.recommendations.follow2vec.LinearRegressionFollow2vecNearestNeighborsClientColumn +import com.twitter.util.Return +import com.twitter.util.Throw +import javax.inject.Inject + +@Singleton +class LinearRegressionFollow2vecNearestNeighborsStore @Inject() ( + linearRegressionFollow2vecNearestNeighborsClientColumn: LinearRegressionFollow2vecNearestNeighborsClientColumn) + extends StratoBasedSimsCandidateSource[NearestNeighborParamsType]( + Follow2vecNearestNeighborsStore.convertFetcher( + linearRegressionFollow2vecNearestNeighborsClientColumn.fetcher), + view = Follow2vecNearestNeighborsStore.defaultSearchParams, + identifier = Follow2vecNearestNeighborsStore.IdentifierF2vLinearRegression + ) + +object Follow2vecNearestNeighborsStore { + // (userid, feature store version for data) + type NearestNeighborKeyType = (Long, Long) + // (neighbors to be returned, ef value: accuracy / latency tradeoff, distance for filtering) + type NearestNeighborParamsType = (Option[Int], Option[Int], Option[Double]) + // (seq(found neighbor id, score), distance for filtering) + type NearestNeighborValueType = (Seq[(Long, Option[Double])], Option[Double]) + + val IdentifierF2vLinearRegression: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.LinearRegressionFollow2VecNearestNeighbors.toString) + + val defaultFeatureStoreVersion: Long = 20210708 + val defaultSearchParams: NearestNeighborParamsType = (None, None, None) + + def convertFetcher( + fetcher: Fetcher[NearestNeighborKeyType, NearestNeighborParamsType, NearestNeighborValueType] + ): Fetcher[Long, NearestNeighborParamsType, Candidates] = { + (key: Long, view: NearestNeighborParamsType) => + { + def toCandidates( + results: Option[NearestNeighborValueType] + ): Option[Candidates] = { + results.flatMap { r => + Some( + Candidates( + key, + r._1.map { neighbor => + Candidate(neighbor._1, neighbor._2.getOrElse(0)) + } + ) + ) + } + } + + val results: Stitch[Fetch.Result[NearestNeighborValueType]] = + fetcher.fetch(key = (key, defaultFeatureStoreVersion), view = view) + results.transform { + case Return(r) => Stitch.value(Fetch.Result(toCandidates(r.v))) + case Throw(e) => Stitch.exception(e) + } + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/README.md new file mode 100644 index 000000000..97bab500a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/README.md @@ -0,0 +1,32 @@ +# Sims Candidate Source +Offers various online sources for finding similar accounts based on a given user, whether it is the target user or an account candidate. + +## Sims +The objective is to identify a list of K users who are similar to a given user. In this scenario, we primarily focus on finding similar users as "producers" rather than "consumers." Sims has two steps: candidate generation and ranking. + +### Sims Candidate Generation + +With over 700 million users to consider, there are multiple ways to define similarities. Currently, we have three candidate sources for Sims: + +**CosineFollow** (based on user-user follow graph): The similarity between two users is defined as the cosine similarity between their followers. Despite sounding simple, computing all-pair similarity on the entire follow graph is computationally challenging. We are currently using the WHIMP algorithm to find the top 1000 similar users for each user ID. This candidate source has the largest coverage, as it can find similar user candidates for more than 700 million users. + +**CosineList** (based on user-list membership graph): The similarity between two users is defined as the cosine similarity between the lists they are included as members (e.g., [here](https://twitter.com/jack/lists/memberships) are the lists that @jack is on). The same algorithm as CosineFollow is used. + +**Follow2Vec** (essentially Word2Vec on user-user follow graph): We first train the Word2Vec model on follow sequence data to obtain users' embeddings and then find the most similar users based on the similarity of the embeddings. However, we need enough data for each user to learn a meaningful embedding for them, so we can only obtain embeddings for the top 10 million users (currently in production, testing 30 million users). Furthermore, Word2Vec model training is limited by memory and computation as it is trained on a single machine. + +##### Cosine Similarity +A crucial component in Sims is calculating cosine similarities between users based on a user-X (X can be a user, list, or other entities) bipartite graph. This problem is technically challenging and took several years of effort to solve. + +The current implementation uses the algorithm proposed in [When hashes met wedges: A distributed algorithm for finding high similarity vectors. WWW 2017](https://arxiv.org/pdf/1703.01054.pdf) + +### Sims Ranking +After the candidate generation step, we can obtain dozens to hundreds of similar user candidates for each user. However, since these candidates come from different algorithms, we need a way to rank them. To do this, we collect user feedback. + +We use the "Profile Sidebar Impressions & Follow" (a module with follow suggestions displayed when a user visits a profile page and scrolls down) to collect training data. To alleviate any system bias, we use 4% of traffic to show randomly shuffled candidates to users and collect positive (followed impression) and negative (impression only) data from this traffic. This data is used as an evaluation set. We use a portion of the remaining 96% of traffic for training data, filtering only for sets of impressions that had at least one follow, ensuring that the user taking action was paying attention to the impressions. + +The examples are in the format of (profile_user, candidate_user, label). We add features for profile_users and candidate_users based on some high-level aggregated statistics in a feature dataset provided by the Customer Journey team, as well as features that represent the similarity between the profile_user and candidate_user. + +We employ a multi-tower MLP model and optimize the logistic loss. The model is refreshed weekly using an ML workflow. + +We recompute the candidates and rank them daily. The ranked results are published to the Manhattan dataset. + diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsExperimentalStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsExperimentalStore.scala new file mode 100644 index 000000000..d144640c7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsExperimentalStore.scala @@ -0,0 +1,36 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.generated.client.recommendations.similarity.SimilarUsersBySimsExperimentalOnUserClientColumn +import com.twitter.util.Duration + +import javax.inject.Inject + +@Singleton +class SimsExperimentalStore @Inject() ( + simsExperimentalOnUserClientColumn: SimilarUsersBySimsExperimentalOnUserClientColumn) + extends StratoBasedSimsCandidateSourceWithUnitView( + fetcher = simsExperimentalOnUserClientColumn.fetcher, + identifier = SimsExperimentalStore.Identifier + ) + +@Singleton +class CachedSimsExperimentalStore @Inject() ( + simsExperimentalOnUserClientColumn: SimilarUsersBySimsExperimentalOnUserClientColumn, + statsReceiver: StatsReceiver) + extends CacheBasedSimsStore( + id = SimsExperimentalStore.Identifier, + fetcher = simsExperimentalOnUserClientColumn.fetcher, + maxCacheSize = SimsExperimentalStore.MaxCacheSize, + cacheTtl = SimsExperimentalStore.CacheTTL, + statsReceiver = statsReceiver.scope("CachedSimsExperimentalStore", "cache") + ) + +object SimsExperimentalStore { + val Identifier = CandidateSourceIdentifier(Algorithm.Sims.toString) + val MaxCacheSize = 1000 + val CacheTTL: Duration = Duration.fromHours(12) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsSourceFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsSourceFSConfig.scala new file mode 100644 index 000000000..0bacb339f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsSourceFSConfig.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SimsSourceFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean] with FSName] = Seq( + SimsSourceParams.DisableHeavyRanker + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsSourceParams.scala new file mode 100644 index 000000000..e96775a6a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsSourceParams.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.twitter.timelines.configapi.FSParam + +object SimsSourceParams { + case object EnableDBV2SimsStore extends FSParam[Boolean]("sims_source_enable_dbv2_source", false) + + case object EnableDBV2SimsRefreshStore + extends FSParam[Boolean]("sims_source_enable_dbv2_refresh_source", false) + + case object EnableExperimentalSimsStore + extends FSParam[Boolean]("sims_source_enable_experimental_source", false) + + case object DisableHeavyRanker + extends FSParam[Boolean]("sims_source_disable_heavy_ranker", default = false) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsStore.scala new file mode 100644 index 000000000..98a00a9a4 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SimsStore.scala @@ -0,0 +1,36 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.hermit.candidate.thriftscala.Candidates +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.client.Fetcher +import com.twitter.util.Duration + +import javax.inject.Inject + +@Singleton +class SimsStore @Inject() ( + @Named(GuiceNamedConstants.SIMS_FETCHER) fetcher: Fetcher[Long, Unit, Candidates]) + extends StratoBasedSimsCandidateSourceWithUnitView(fetcher, identifier = SimsStore.Identifier) + +@Singleton +class CachedSimsStore @Inject() ( + @Named(GuiceNamedConstants.SIMS_FETCHER) fetcher: Fetcher[Long, Unit, Candidates], + statsReceiver: StatsReceiver) + extends CacheBasedSimsStore( + id = SimsStore.Identifier, + fetcher = fetcher, + maxCacheSize = SimsStore.MaxCacheSize, + cacheTtl = SimsStore.CacheTTL, + statsReceiver = statsReceiver.scope("CachedSimsStore", "cache") + ) + +object SimsStore { + val Identifier = CandidateSourceIdentifier(Algorithm.Sims.toString) + val MaxCacheSize = 50000 + val CacheTTL: Duration = Duration.fromHours(24) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/StratoBasedSimsCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/StratoBasedSimsCandidateSource.scala new file mode 100644 index 000000000..6d862c849 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/StratoBasedSimsCandidateSource.scala @@ -0,0 +1,40 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.twitter.follow_recommendations.common.candidate_sources.base.StratoFetcherSource +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.follow_recommendations.common.models.SimilarToProof +import com.twitter.hermit.candidate.thriftscala.Candidates +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.client.Fetcher + +abstract class StratoBasedSimsCandidateSource[U]( + fetcher: Fetcher[Long, U, Candidates], + view: U, + override val identifier: CandidateSourceIdentifier) + extends StratoFetcherSource[Long, U, Candidates](fetcher, view, identifier) { + + override def map(target: Long, candidates: Candidates): Seq[CandidateUser] = + StratoBasedSimsCandidateSource.map(target, candidates) +} + +object StratoBasedSimsCandidateSource { + def map(target: Long, candidates: Candidates): Seq[CandidateUser] = { + for { + candidate <- candidates.candidates + } yield CandidateUser( + id = candidate.userId, + score = Some(candidate.score), + reason = Some( + Reason( + Some( + AccountProof( + similarToProof = Some(SimilarToProof(Seq(target))) + ) + ) + ) + ) + ) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/StratoBasedSimsCandidateSourceWithUnitView.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/StratoBasedSimsCandidateSourceWithUnitView.scala new file mode 100644 index 000000000..af1133893 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/StratoBasedSimsCandidateSourceWithUnitView.scala @@ -0,0 +1,10 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.twitter.hermit.candidate.thriftscala.Candidates +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.client.Fetcher + +abstract class StratoBasedSimsCandidateSourceWithUnitView( + fetcher: Fetcher[Long, Unit, Candidates], + override val identifier: CandidateSourceIdentifier) + extends StratoBasedSimsCandidateSource[Unit](fetcher, Unit, identifier) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SwitchingSimsSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SwitchingSimsSource.scala new file mode 100644 index 000000000..0d297a806 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/SwitchingSimsSource.scala @@ -0,0 +1,55 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SwitchingSimsSource @Inject() ( + cachedDBV2SimsStore: CachedDBV2SimsStore, + cachedDBV2SimsRefreshStore: CachedDBV2SimsRefreshStore, + cachedSimsExperimentalStore: CachedSimsExperimentalStore, + cachedSimsStore: CachedSimsStore, + statsReceiver: StatsReceiver = NullStatsReceiver) + extends CandidateSource[HasParams with HasSimilarToContext, CandidateUser] { + + override val identifier: CandidateSourceIdentifier = SwitchingSimsSource.Identifier + + private val stats = statsReceiver.scope("SwitchingSimsSource") + private val dbV2SimsStoreCounter = stats.counter("DBV2SimsStore") + private val dbV2SimsRefreshStoreCounter = stats.counter("DBV2SimsRefreshStore") + private val simsExperimentalStoreCounter = stats.counter("SimsExperimentalStore") + private val simsStoreCounter = stats.counter("SimsStore") + + override def apply(request: HasParams with HasSimilarToContext): Stitch[Seq[CandidateUser]] = { + val selectedSimsStore = + if (request.params(SimsSourceParams.EnableDBV2SimsStore)) { + dbV2SimsStoreCounter.incr() + cachedDBV2SimsStore + } else if (request.params(SimsSourceParams.EnableDBV2SimsRefreshStore)) { + dbV2SimsRefreshStoreCounter.incr() + cachedDBV2SimsRefreshStore + } else if (request.params(SimsSourceParams.EnableExperimentalSimsStore)) { + simsExperimentalStoreCounter.incr() + cachedSimsExperimentalStore + } else { + simsStoreCounter.incr() + cachedSimsStore + } + stats.counter("total").incr() + selectedSimsStore(request) + } +} + +object SwitchingSimsSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier(Algorithm.Sims.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/BUILD new file mode 100644 index 000000000..f5ccb66e7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/BUILD @@ -0,0 +1,23 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/DBV2SimsExpansionParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/DBV2SimsExpansionParams.scala new file mode 100644 index 000000000..c323ad1f3 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/DBV2SimsExpansionParams.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object DBV2SimsExpansionParams { + // Theses divisors are used to calibrate DBv2Sims extension candidates scores + case object RecentFollowingSimilarUsersDBV2CalibrateDivisor + extends FSBoundedParam[Double]( + "sims_expansion_recent_following_similar_users_dbv2_divisor", + default = 1.0d, + min = 0.1d, + max = 100d) + case object RecentEngagementSimilarUsersDBV2CalibrateDivisor + extends FSBoundedParam[Double]( + "sims_expansion_recent_engagement_similar_users_dbv2_divisor", + default = 1.0d, + min = 0.1d, + max = 100d) + case object DisableHeavyRanker + extends FSParam[Boolean]("sims_expansion_disable_heavy_ranker", default = false) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/README.md new file mode 100644 index 000000000..6143d5868 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/README.md @@ -0,0 +1,6 @@ +# Sims Expansion Candidate Source +provides similar accounts based on the Sims algorithm for a given set of accounts. + +This is a 2nd-hop expansion, meaning that the input accounts could be a user's recently engaged, followed, or algorithm-generated (such as RealGraph) accounts. + +For more information on Sims and how it is utilized in the Follow Recommendations Service, please refer to the `follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims/README.md` file. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersFSConfig.scala new file mode 100644 index 000000000..5642f5852 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersFSConfig.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSParam + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RecentEngagementSimilarUsersFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean]] = Seq( + RecentEngagementSimilarUsersParams.FirstDegreeSortEnabled + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersParams.scala new file mode 100644 index 000000000..4b1729702 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersParams.scala @@ -0,0 +1,17 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSParam + +object RecentEngagementSimilarUsersParams { + + case object FirstDegreeSortEnabled + extends FSParam[Boolean]( + name = "sims_expansion_recent_engagement_first_degree_sort", + default = true) + case object Aggregator + extends FSEnumParam[SimsExpansionSourceAggregatorId.type]( + name = "sims_expansion_recent_engagement_aggregator_id", + default = SimsExpansionSourceAggregatorId.Sum, + enum = SimsExpansionSourceAggregatorId) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersSource.scala new file mode 100644 index 000000000..0d99c2dc2 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentEngagementSimilarUsersSource.scala @@ -0,0 +1,113 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.sims.SwitchingSimsSource +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.RealTimeRealGraphClient +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.follow_recommendations.common.models.SimilarToProof +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RecentEngagementSimilarUsersSource @Inject() ( + realTimeRealGraphClient: RealTimeRealGraphClient, + switchingSimsSource: SwitchingSimsSource, + statsReceiver: StatsReceiver) + extends SimsExpansionBasedCandidateSource[HasClientContext with HasParams]( + switchingSimsSource) { + override def maxSecondaryDegreeNodes(req: HasClientContext with HasParams): Int = Int.MaxValue + + override def maxResults(req: HasClientContext with HasParams): Int = + RecentEngagementSimilarUsersSource.MaxResults + + override val identifier: CandidateSourceIdentifier = RecentEngagementSimilarUsersSource.Identifier + private val stats = statsReceiver.scope(identifier.name) + private val calibratedScoreCounter = stats.counter("calibrated_scores_counter") + + override def scoreCandidate(sourceScore: Double, similarToScore: Double): Double = { + sourceScore * similarToScore + } + + override def calibrateDivisor(req: HasClientContext with HasParams): Double = { + req.params(DBV2SimsExpansionParams.RecentEngagementSimilarUsersDBV2CalibrateDivisor) + } + + override def calibrateScore( + candidateScore: Double, + req: HasClientContext with HasParams + ): Double = { + calibratedScoreCounter.incr() + candidateScore / calibrateDivisor(req) + } + + /** + * fetch first degree nodes given request + */ + override def firstDegreeNodes( + target: HasClientContext with HasParams + ): Stitch[Seq[CandidateUser]] = { + target.getOptionalUserId + .map { userId => + realTimeRealGraphClient + .getUsersRecentlyEngagedWith( + userId, + RealTimeRealGraphClient.EngagementScoreMap, + includeDirectFollowCandidates = true, + includeNonDirectFollowCandidates = true + ).map(_.sortBy(-_.score.getOrElse(0.0d)) + .take(RecentEngagementSimilarUsersSource.MaxFirstDegreeNodes)) + }.getOrElse(Stitch.Nil) + } + + override def aggregateAndScore( + request: HasClientContext with HasParams, + firstDegreeToSecondDegreeNodesMap: Map[CandidateUser, Seq[SimilarUser]] + ): Stitch[Seq[CandidateUser]] = { + + val inputNodes = firstDegreeToSecondDegreeNodesMap.keys.map(_.id).toSet + val aggregator = request.params(RecentEngagementSimilarUsersParams.Aggregator) match { + case SimsExpansionSourceAggregatorId.Max => + SimsExpansionBasedCandidateSource.ScoreAggregator.Max + case SimsExpansionSourceAggregatorId.Sum => + SimsExpansionBasedCandidateSource.ScoreAggregator.Sum + case SimsExpansionSourceAggregatorId.MultiDecay => + SimsExpansionBasedCandidateSource.ScoreAggregator.MultiDecay + } + + val groupedCandidates = firstDegreeToSecondDegreeNodesMap.values.flatten + .filterNot(c => inputNodes.contains(c.candidateId)) + .groupBy(_.candidateId) + .map { + case (id, candidates) => + // Different aggregators for final score + val finalScore = aggregator(candidates.map(_.score).toSeq) + val proofs = candidates.map(_.similarTo).toSet + + CandidateUser( + id = id, + score = Some(finalScore), + reason = + Some(Reason(Some(AccountProof(similarToProof = Some(SimilarToProof(proofs.toSeq)))))) + ).withCandidateSource(identifier) + } + .toSeq + .sortBy(-_.score.getOrElse(0.0d)) + .take(maxResults(request)) + + Stitch.value(groupedCandidates) + } +} + +object RecentEngagementSimilarUsersSource { + val Identifier = CandidateSourceIdentifier(Algorithm.RecentEngagementSimilarUser.toString) + val MaxFirstDegreeNodes = 10 + val MaxResults = 200 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentFollowingSimilarUsersParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentFollowingSimilarUsersParams.scala new file mode 100644 index 000000000..44b1378d4 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentFollowingSimilarUsersParams.scala @@ -0,0 +1,29 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object RecentFollowingSimilarUsersParams { + case object MaxFirstDegreeNodes + extends FSBoundedParam[Int]( + name = "sims_expansion_recent_following_max_first_degree_nodes", + default = 10, + min = 0, + max = 200) + case object MaxSecondaryDegreeExpansionPerNode + extends FSBoundedParam[Int]( + name = "sims_expansion_recent_following_max_secondary_degree_nodes", + default = 40, + min = 0, + max = 200) + case object MaxResults + extends FSBoundedParam[Int]( + name = "sims_expansion_recent_following_max_results", + default = 200, + min = 0, + max = 200) + case object TimestampIntegrated + extends FSParam[Boolean]( + name = "sims_expansion_recent_following_integ_timestamp", + default = false) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentFollowingSimilarUsersSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentFollowingSimilarUsersSource.scala new file mode 100644 index 000000000..b5a187fc5 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentFollowingSimilarUsersSource.scala @@ -0,0 +1,99 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.candidate_sources.sims.SwitchingSimsSource +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import javax.inject.Inject + +object RecentFollowingSimilarUsersSource { + + val Identifier = CandidateSourceIdentifier(Algorithm.NewFollowingSimilarUser.toString) +} + +@Singleton +class RecentFollowingSimilarUsersSource @Inject() ( + socialGraph: SocialGraphClient, + switchingSimsSource: SwitchingSimsSource, + statsReceiver: StatsReceiver) + extends SimsExpansionBasedCandidateSource[ + HasParams with HasRecentFollowedUserIds with HasClientContext + ](switchingSimsSource) { + + val identifier = RecentFollowingSimilarUsersSource.Identifier + private val stats = statsReceiver.scope(identifier.name) + private val maxResultsStats = stats.scope("max_results") + private val calibratedScoreCounter = stats.counter("calibrated_scores_counter") + + override def firstDegreeNodes( + request: HasParams with HasRecentFollowedUserIds with HasClientContext + ): Stitch[Seq[CandidateUser]] = { + if (request.params(RecentFollowingSimilarUsersParams.TimestampIntegrated)) { + val recentFollowedUserIdsWithTimeStitch = + socialGraph.getRecentFollowedUserIdsWithTime(request.clientContext.userId.get) + + recentFollowedUserIdsWithTimeStitch.map { results => + val first_degree_nodes = results + .sortBy(-_.timeInMs).take( + request.params(RecentFollowingSimilarUsersParams.MaxFirstDegreeNodes)) + val max_timestamp = first_degree_nodes.head.timeInMs + first_degree_nodes.map { + case userIdWithTime => + CandidateUser( + userIdWithTime.userId, + score = Some(userIdWithTime.timeInMs.toDouble / max_timestamp)) + } + } + } else { + Stitch.value( + request.recentFollowedUserIds + .getOrElse(Nil).take( + request.params(RecentFollowingSimilarUsersParams.MaxFirstDegreeNodes)).map( + CandidateUser(_, score = Some(1.0))) + ) + } + } + + override def maxSecondaryDegreeNodes( + req: HasParams with HasRecentFollowedUserIds with HasClientContext + ): Int = { + req.params(RecentFollowingSimilarUsersParams.MaxSecondaryDegreeExpansionPerNode) + } + + override def maxResults( + req: HasParams with HasRecentFollowedUserIds with HasClientContext + ): Int = { + val firstDegreeNodes = req.params(RecentFollowingSimilarUsersParams.MaxFirstDegreeNodes) + val maxResultsNum = req.params(RecentFollowingSimilarUsersParams.MaxResults) + maxResultsStats + .stat( + s"RecentFollowingSimilarUsersSource_firstDegreeNodes_${firstDegreeNodes}_maxResults_${maxResultsNum}") + .add(1) + maxResultsNum + } + + override def scoreCandidate(sourceScore: Double, similarToScore: Double): Double = { + sourceScore * similarToScore + } + + override def calibrateDivisor( + req: HasParams with HasRecentFollowedUserIds with HasClientContext + ): Double = { + req.params(DBV2SimsExpansionParams.RecentFollowingSimilarUsersDBV2CalibrateDivisor) + } + + override def calibrateScore( + candidateScore: Double, + req: HasParams with HasRecentFollowedUserIds with HasClientContext + ): Double = { + calibratedScoreCounter.incr() + candidateScore / calibrateDivisor(req) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentStrongEngagementDirectFollowSimilarUsersSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentStrongEngagementDirectFollowSimilarUsersSource.scala new file mode 100644 index 000000000..0898aabfb --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/RecentStrongEngagementDirectFollowSimilarUsersSource.scala @@ -0,0 +1,53 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.candidate_sources.sims.SwitchingSimsSource +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.RealTimeRealGraphClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +import javax.inject.Inject + +@Singleton +class RecentStrongEngagementDirectFollowSimilarUsersSource @Inject() ( + realTimeRealGraphClient: RealTimeRealGraphClient, + switchingSimsSource: SwitchingSimsSource) + extends SimsExpansionBasedCandidateSource[HasClientContext with HasParams]( + switchingSimsSource) { + + val identifier = RecentStrongEngagementDirectFollowSimilarUsersSource.Identifier + + override def firstDegreeNodes( + request: HasClientContext with HasParams + ): Stitch[Seq[CandidateUser]] = request.getOptionalUserId + .map { userId => + realTimeRealGraphClient + .getUsersRecentlyEngagedWith( + userId, + RealTimeRealGraphClient.StrongEngagementScoreMap, + includeDirectFollowCandidates = true, + includeNonDirectFollowCandidates = false + ).map(_.take(RecentStrongEngagementDirectFollowSimilarUsersSource.MaxFirstDegreeNodes)) + }.getOrElse(Stitch.Nil) + + override def maxSecondaryDegreeNodes(request: HasClientContext with HasParams): Int = Int.MaxValue + + override def maxResults(request: HasClientContext with HasParams): Int = + RecentStrongEngagementDirectFollowSimilarUsersSource.MaxResults + + override def scoreCandidate(sourceScore: Double, similarToScore: Double): Double = { + sourceScore * similarToScore + } + + override def calibrateDivisor(req: HasClientContext with HasParams): Double = 1.0d +} + +object RecentStrongEngagementDirectFollowSimilarUsersSource { + val Identifier = CandidateSourceIdentifier(Algorithm.RecentStrongEngagementSimilarUser.toString) + val MaxFirstDegreeNodes = 10 + val MaxResults = 200 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionBasedCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionBasedCandidateSource.scala new file mode 100644 index 000000000..018fe413b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionBasedCandidateSource.scala @@ -0,0 +1,114 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.twitter.follow_recommendations.common.candidate_sources.base.TwoHopExpansionCandidateSource +import com.twitter.follow_recommendations.common.candidate_sources.sims.SwitchingSimsSource +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.follow_recommendations.common.models.SimilarToProof +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import scala.math._ + +case class SimilarUser(candidateId: Long, similarTo: Long, score: Double) + +abstract class SimsExpansionBasedCandidateSource[-Target <: HasParams]( + switchingSimsSource: SwitchingSimsSource) + extends TwoHopExpansionCandidateSource[Target, CandidateUser, SimilarUser, CandidateUser] { + + // max number secondary degree nodes per first degree node + def maxSecondaryDegreeNodes(req: Target): Int + + // max number output results + def maxResults(req: Target): Int + + // scorer to score candidate based on first and second degree node scores + def scoreCandidate(source: Double, similarToScore: Double): Double + + def calibrateDivisor(req: Target): Double + + def calibrateScore(candidateScore: Double, req: Target): Double = { + candidateScore / calibrateDivisor(req) + } + + override def secondaryDegreeNodes(req: Target, node: CandidateUser): Stitch[Seq[SimilarUser]] = { + switchingSimsSource(new HasParams with HasSimilarToContext { + override val similarToUserIds = Seq(node.id) + override val params = (req.params) + }).map(_.take(maxSecondaryDegreeNodes(req)).map { candidate => + SimilarUser( + candidate.id, + node.id, + (node.score, candidate.score) match { + // only calibrated sims expanded candidates scores + case (Some(nodeScore), Some(candidateScore)) => + calibrateScore(scoreCandidate(nodeScore, candidateScore), req) + case (Some(nodeScore), _) => nodeScore + // NewFollowingSimilarUser will enter this case + case _ => calibrateScore(candidate.score.getOrElse(0.0), req) + } + ) + }) + } + + override def aggregateAndScore( + request: Target, + firstDegreeToSecondDegreeNodesMap: Map[CandidateUser, Seq[SimilarUser]] + ): Stitch[Seq[CandidateUser]] = { + + val inputNodes = firstDegreeToSecondDegreeNodesMap.keys.map(_.id).toSet + val aggregator = request.params(SimsExpansionSourceParams.Aggregator) match { + case SimsExpansionSourceAggregatorId.Max => + SimsExpansionBasedCandidateSource.ScoreAggregator.Max + case SimsExpansionSourceAggregatorId.Sum => + SimsExpansionBasedCandidateSource.ScoreAggregator.Sum + case SimsExpansionSourceAggregatorId.MultiDecay => + SimsExpansionBasedCandidateSource.ScoreAggregator.MultiDecay + } + + val groupedCandidates = firstDegreeToSecondDegreeNodesMap.values.flatten + .filterNot(c => inputNodes.contains(c.candidateId)) + .groupBy(_.candidateId) + .map { + case (id, candidates) => + // Different aggregators for final score + val finalScore = aggregator(candidates.map(_.score).toSeq) + val proofs = candidates.map(_.similarTo).toSet + + CandidateUser( + id = id, + score = Some(finalScore), + reason = + Some(Reason(Some(AccountProof(similarToProof = Some(SimilarToProof(proofs.toSeq)))))) + ).withCandidateSource(identifier) + } + .toSeq + .sortBy(-_.score.getOrElse(0.0d)) + .take(maxResults(request)) + + Stitch.value(groupedCandidates) + } +} + +object SimsExpansionBasedCandidateSource { + object ScoreAggregator { + val Max: Seq[Double] => Double = (candidateScores: Seq[Double]) => { + if (candidateScores.size > 0) candidateScores.max else 0.0 + } + val Sum: Seq[Double] => Double = (candidateScores: Seq[Double]) => { + candidateScores.sum + } + val MultiDecay: Seq[Double] => Double = (candidateScores: Seq[Double]) => { + val alpha = 0.1 + val beta = 0.1 + val gamma = 0.8 + val decay_scores: Seq[Double] = + candidateScores + .sorted(Ordering[Double].reverse) + .zipWithIndex + .map(x => x._1 * pow(gamma, x._2)) + alpha * candidateScores.max + decay_scores.sum + beta * candidateScores.size + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionFSConfig.scala new file mode 100644 index 000000000..b145ee607 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionFSConfig.scala @@ -0,0 +1,26 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SimsExpansionFSConfig @Inject() () extends FeatureSwitchConfig { + override val intFSParams: Seq[FSBoundedParam[Int]] = Seq( + RecentFollowingSimilarUsersParams.MaxFirstDegreeNodes, + RecentFollowingSimilarUsersParams.MaxSecondaryDegreeExpansionPerNode, + RecentFollowingSimilarUsersParams.MaxResults + ) + + override val doubleFSParams: Seq[FSBoundedParam[Double]] = Seq( + DBV2SimsExpansionParams.RecentFollowingSimilarUsersDBV2CalibrateDivisor, + DBV2SimsExpansionParams.RecentEngagementSimilarUsersDBV2CalibrateDivisor + ) + + override val booleanFSParams: Seq[FSParam[Boolean]] = Seq( + DBV2SimsExpansionParams.DisableHeavyRanker, + RecentFollowingSimilarUsersParams.TimestampIntegrated + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionSourceParams.scala new file mode 100644 index 000000000..f03ccceea --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion/SimsExpansionSourceParams.scala @@ -0,0 +1,17 @@ +package com.twitter.follow_recommendations.common.candidate_sources.sims_expansion +import com.twitter.timelines.configapi.FSEnumParam + +object SimsExpansionSourceParams { + case object Aggregator + extends FSEnumParam[SimsExpansionSourceAggregatorId.type]( + name = "sims_expansion_aggregator_id", + default = SimsExpansionSourceAggregatorId.Sum, + enum = SimsExpansionSourceAggregatorId) +} + +object SimsExpansionSourceAggregatorId extends Enumeration { + type AggregatorId = Value + val Sum: AggregatorId = Value("sum") + val Max: AggregatorId = Value("max") + val MultiDecay: AggregatorId = Value("multi_decay") +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/BUILD new file mode 100644 index 000000000..e0392df45 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/BUILD @@ -0,0 +1,18 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/README.md new file mode 100644 index 000000000..bfdbacd25 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/README.md @@ -0,0 +1,6 @@ +# Social Graph Candidate Source +Provides candidate expansion based on the Twitter social graph. + +Currently, the expansion is mainly based on the "follow" social graph edge, which allows the service to identify recent following accounts for a given set of accounts. The input accounts could be a user's recent following, engaged, or other related accounts. + +In summary, the Social Graph Candidate Source utilizes the Twitter social graph to provide candidate expansion, primarily focusing on recent following accounts. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSource.scala new file mode 100644 index 000000000..577213cc1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSource.scala @@ -0,0 +1,102 @@ +package com.twitter.follow_recommendations.common.candidate_sources.socialgraph + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.base.TwoHopExpansionCandidateSource +import com.twitter.follow_recommendations.common.clients.socialgraph.RecentEdgesQuery +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.hermit.model.Algorithm +import com.twitter.inject.Logging +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.socialgraph.thriftscala.RelationshipType +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +/** + * This candidate source is a two hop expansion over the follow graph. The candidates returned from this source is the users that get followed by the target user's recent followings. It will call SocialGraph `n` + 1 times where `n` is the number of recent followings of the target user to be considered. + */ +@Singleton +class RecentFollowingRecentFollowingExpansionSource @Inject() ( + socialGraphClient: SocialGraphClient, + statsReceiver: StatsReceiver) + extends TwoHopExpansionCandidateSource[ + HasParams with HasRecentFollowedUserIds, + Long, + Long, + CandidateUser + ] + with Logging { + + override val identifier: CandidateSourceIdentifier = + RecentFollowingRecentFollowingExpansionSource.Identifier + + val stats = statsReceiver.scope(identifier.name) + + override def firstDegreeNodes( + target: HasParams with HasRecentFollowedUserIds + ): Stitch[Seq[Long]] = Stitch.value( + target.recentFollowedUserIds + .getOrElse(Nil).take( + RecentFollowingRecentFollowingExpansionSource.NumFirstDegreeNodesToRetrieve) + ) + + override def secondaryDegreeNodes( + target: HasParams with HasRecentFollowedUserIds, + node: Long + ): Stitch[Seq[Long]] = socialGraphClient + .getRecentEdgesCached( + RecentEdgesQuery( + node, + Seq(RelationshipType.Following), + Some(RecentFollowingRecentFollowingExpansionSource.NumSecondDegreeNodesToRetrieve)), + useCachedStratoColumn = + target.params(RecentFollowingRecentFollowingExpansionSourceParams.CallSgsCachedColumn) + ).map( + _.take(RecentFollowingRecentFollowingExpansionSource.NumSecondDegreeNodesToRetrieve)).rescue { + case exception: Exception => + logger.warn( + s"${this.getClass} fails to retrieve second degree nodes for first degree node $node", + exception) + stats.counter("second_degree_expansion_error").incr() + Stitch.Nil + } + + override def aggregateAndScore( + target: HasParams with HasRecentFollowedUserIds, + firstDegreeToSecondDegreeNodesMap: Map[Long, Seq[Long]] + ): Stitch[Seq[CandidateUser]] = { + val zipped = firstDegreeToSecondDegreeNodesMap.toSeq.flatMap { + case (firstDegreeId, secondDegreeIds) => + secondDegreeIds.map(secondDegreeId => firstDegreeId -> secondDegreeId) + } + val candidateAndConnections = zipped + .groupBy { case (_, secondDegreeId) => secondDegreeId } + .mapValues { v => v.map { case (firstDegreeId, _) => firstDegreeId } } + .toSeq + .sortBy { case (_, connections) => -connections.size } + .map { + case (candidateId, connections) => + CandidateUser( + id = candidateId, + score = Some(CandidateUser.DefaultCandidateScore), + reason = Some( + Reason( + Some(AccountProof(followProof = Some(FollowProof(connections, connections.size)))))) + ).withCandidateSource(identifier) + } + Stitch.value(candidateAndConnections) + } +} + +object RecentFollowingRecentFollowingExpansionSource { + val Identifier = CandidateSourceIdentifier(Algorithm.NewFollowingNewFollowingExpansion.toString) + + val NumFirstDegreeNodesToRetrieve = 5 + val NumSecondDegreeNodesToRetrieve = 20 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSourceFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSourceFSConfig.scala new file mode 100644 index 000000000..ac6403ebe --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSourceFSConfig.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.common.candidate_sources.socialgraph + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RecentFollowingRecentFollowingExpansionSourceFSConfig @Inject() () + extends FeatureSwitchConfig { + + override val booleanFSParams: Seq[FSParam[Boolean] with FSName] = Seq( + RecentFollowingRecentFollowingExpansionSourceParams.CallSgsCachedColumn, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSourceParams.scala new file mode 100644 index 000000000..4c51233ad --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph/RecentFollowingRecentFollowingExpansionSourceParams.scala @@ -0,0 +1,10 @@ +package com.twitter.follow_recommendations.common.candidate_sources.socialgraph + +import com.twitter.timelines.configapi.FSParam + +object RecentFollowingRecentFollowingExpansionSourceParams { + object CallSgsCachedColumn + extends FSParam[Boolean]( + "recent_following_recent_following_source_call_sgs_cached_column", + true) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/BUILD new file mode 100644 index 000000000..e89bade43 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/BUILD @@ -0,0 +1,28 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "src/scala/com/twitter/onboarding/relevance/features/strongtie", + "src/thrift/com/twitter/search/account_search/extended_network:extended_network_users-scala", + "strato/config/columns/hub:hub-strato-client", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/config/columns/search/account_search:account_search-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/BaseOnlineSTPSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/BaseOnlineSTPSource.scala new file mode 100644 index 000000000..9f4365642 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/BaseOnlineSTPSource.scala @@ -0,0 +1,55 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.follow_recommendations.common.models.STPGraph +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.logging.Logging +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.STPFeatureGenerator +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.STPRecord + +abstract class BaseOnlineSTPSource( + stpGraphBuilder: STPGraphBuilder, + baseStatsReceiver: StatsReceiver) + extends CandidateSource[ + HasClientContext with HasParams with HasRecentFollowedUserIds, + CandidateUser + ] + with Logging { + + protected val statsReceiver: StatsReceiver = baseStatsReceiver.scope("online_stp") + + override val identifier: CandidateSourceIdentifier = BaseOnlineSTPSource.Identifier + + def getCandidates( + records: Seq[STPRecord], + request: HasClientContext with HasParams with HasRecentFollowedUserIds + ): Stitch[Seq[CandidateUser]] + + override def apply( + request: HasClientContext with HasParams with HasRecentFollowedUserIds + ): Stitch[Seq[CandidateUser]] = + request.getOptionalUserId + .map { userId => + stpGraphBuilder(request) + .flatMap { graph: STPGraph => + logger.debug(graph) + val records = STPFeatureGenerator.constructFeatures( + userId, + graph.firstDegreeEdgeInfoList, + graph.secondDegreeEdgeInfoList) + getCandidates(records, request) + } + }.getOrElse(Stitch.Nil) +} + +object BaseOnlineSTPSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.OnlineStrongTiePredictionRecNoCaching.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/Dbv2StpScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/Dbv2StpScorer.scala new file mode 100644 index 000000000..82308282a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/Dbv2StpScorer.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.cortex.deepbird.runtime.prediction_engine.TensorflowPredictionEngine +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.ml.api.Feature.Continuous +import com.twitter.ml.api.util.SRichDataRecord +import com.twitter.ml.prediction_service.PredictionRequest +import com.twitter.stitch.Stitch +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.STPRecord +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.STPRecordAdapter +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/** + * STP ML ranker trained using DeepBirdV2 + */ +@Singleton +class Dbv2StpScorer @Inject() ( + @Named(GuiceNamedConstants.STP_DBV2_SCORER) tfPredictionEngine: TensorflowPredictionEngine) { + def getScoredResponse(record: STPRecord): Stitch[Option[Double]] = { + val request: PredictionRequest = new PredictionRequest( + STPRecordAdapter.adaptToDataRecord(record)) + val responseStitch = Stitch.callFuture(tfPredictionEngine.getPrediction(request)) + responseStitch.map { response => + val richDr = SRichDataRecord(response.getPrediction) + richDr.getFeatureValueOpt(new Continuous("output")) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/EpStpScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/EpStpScorer.scala new file mode 100644 index 000000000..d02259575 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/EpStpScorer.scala @@ -0,0 +1,65 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.bijection.thrift.BinaryThriftCodec +import com.twitter.relevance.ep_model.scorer.EPScorer +import com.twitter.relevance.ep_model.scorer.ScorerUtil +import com.twitter.relevance.ep_model.thrift +import com.twitter.relevance.ep_model.thriftscala.EPScoringOptions +import com.twitter.relevance.ep_model.thriftscala.EPScoringRequest +import com.twitter.relevance.ep_model.thriftscala.EPScoringResponse +import com.twitter.relevance.ep_model.thriftscala.Record +import com.twitter.stitch.Stitch +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Singleton +import scala.collection.JavaConverters._ +import scala.util.Success + +case class ScoredResponse(score: Double, featuresBreakdown: Option[String] = None) + +/** + * STP ML ranker trained using prehistoric ML framework + */ +@Singleton +class EpStpScorer @Inject() (epScorer: EPScorer) { + private def getScore(responses: List[EPScoringResponse]): Option[ScoredResponse] = + responses.headOption + .flatMap { response => + response.scores.flatMap { + _.headOption.map(score => ScoredResponse(ScorerUtil.normalize(score))) + } + } + + def getScoredResponse( + record: Record, + details: Boolean = false + ): Stitch[Option[ScoredResponse]] = { + val scoringOptions = EPScoringOptions( + addFeaturesBreakDown = details, + addTransformerIntermediateRecords = details + ) + val request = EPScoringRequest(auxFeatures = Some(Seq(record)), options = Some(scoringOptions)) + + Stitch.callFuture( + BinaryThriftCodec[thrift.EPScoringRequest] + .invert(BinaryScalaCodec(EPScoringRequest).apply(request)) + .map { thriftRequest: thrift.EPScoringRequest => + val responsesF = epScorer + .score(List(thriftRequest).asJava) + .map( + _.asScala.toList + .map(response => + BinaryScalaCodec(EPScoringResponse) + .invert(BinaryThriftCodec[thrift.EPScoringResponse].apply(response))) + .collect { case Success(response) => response } + ) + responsesF.map(getScore) + } + .getOrElse(Future(None))) + } +} + +object EpStpScorer { + val WithFeaturesBreakDown = false +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/MutualFollowStrongTiePredictionSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/MutualFollowStrongTiePredictionSource.scala new file mode 100644 index 000000000..10a269931 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/MutualFollowStrongTiePredictionSource.scala @@ -0,0 +1,61 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.follow_recommendations.common.clients.socialgraph.RecentEdgesQuery +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.socialgraph.thriftscala.RelationshipType +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.StrongTiePredictionFeaturesOnUserClientColumn +import javax.inject.Singleton +import javax.inject.Inject + +/** + * Returns mutual follows. It first gets mutual follows from recent 100 follows and followers, and then unions this + * with mutual follows from STP features dataset. + */ +@Singleton +class MutualFollowStrongTiePredictionSource @Inject() ( + sgsClient: SocialGraphClient, + strongTiePredictionFeaturesOnUserClientColumn: StrongTiePredictionFeaturesOnUserClientColumn) + extends CandidateSource[HasClientContext with HasRecentFollowedUserIds, CandidateUser] { + val identifier: CandidateSourceIdentifier = + MutualFollowStrongTiePredictionSource.Identifier + + override def apply( + target: HasClientContext with HasRecentFollowedUserIds + ): Stitch[Seq[CandidateUser]] = { + target.getOptionalUserId match { + case Some(userId) => + val newFollowings = target.recentFollowedUserIds + .getOrElse(Nil) + .take(MutualFollowStrongTiePredictionSource.NumOfRecentFollowings) + val newFollowersStitch = + sgsClient + .getRecentEdges(RecentEdgesQuery(userId, Seq(RelationshipType.FollowedBy))).map( + _.take(MutualFollowStrongTiePredictionSource.NumOfRecentFollowers)) + val mutualFollowsStitch = + strongTiePredictionFeaturesOnUserClientColumn.fetcher + .fetch(userId).map(_.v.flatMap(_.topMutualFollows.map(_.map(_.userId))).getOrElse(Nil)) + + Stitch.join(newFollowersStitch, mutualFollowsStitch).map { + case (newFollowers, mutualFollows) => { + (newFollowings.intersect(newFollowers) ++ mutualFollows).distinct + .map(id => CandidateUser(id, Some(CandidateUser.DefaultCandidateScore))) + } + } + case _ => Stitch.Nil + } + } +} + +object MutualFollowStrongTiePredictionSource { + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.MutualFollowSTP.toString) + val NumOfRecentFollowings = 100 + val NumOfRecentFollowers = 100 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineMutualFollowExpansionSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineMutualFollowExpansionSource.scala new file mode 100644 index 000000000..37981f843 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineMutualFollowExpansionSource.scala @@ -0,0 +1,23 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.google.inject.Singleton +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.generated.client.onboarding.userrecs.MutualFollowExpansionClientColumn +import javax.inject.Inject + +/** + * A source that finds the mutual follows of one's mutual follows that one isn't following already. + */ +@Singleton +class OfflineMutualFollowExpansionSource @Inject() ( + column: MutualFollowExpansionClientColumn) + extends OfflineStrongTiePredictionBaseSource(column.fetcher) { + override val identifier: CandidateSourceIdentifier = + OfflineMutualFollowExpansionSource.Identifier +} + +object OfflineMutualFollowExpansionSource { + val Identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier(Algorithm.MutualFollowExpansion.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceFsConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceFsConfig.scala new file mode 100644 index 000000000..152fc97a6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceFsConfig.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class OfflineStpSourceFsConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean] with FSName] = Seq( + OfflineStpSourceParams.UseDenserPmiMatrix + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceParams.scala new file mode 100644 index 000000000..fb1672cdb --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceParams.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.timelines.configapi.FSParam + +object OfflineStpSourceParams { + // If enabled, we use the new, denser version of PMI matrix to generate OfflineSTP candidates. + case object UseDenserPmiMatrix + extends FSParam[Boolean]("offline_stp_source_use_denser_pmi_matrix", default = false) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceWithDensePmiMatrix.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceWithDensePmiMatrix.scala new file mode 100644 index 000000000..6a37ff222 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceWithDensePmiMatrix.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.google.inject.Singleton +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.generated.client.hub.PpmiDenseMatrixCandidatesClientColumn +import javax.inject.Inject + +/** + * Main source for strong-tie-prediction candidates generated offline. + */ +@Singleton +class OfflineStpSourceWithDensePmiMatrix @Inject() ( + stpColumn: PpmiDenseMatrixCandidatesClientColumn) + extends OfflineStrongTiePredictionBaseSource(stpColumn.fetcher) { + override val identifier: CandidateSourceIdentifier = OfflineStpSourceWithDensePmiMatrix.Identifier +} + +object OfflineStpSourceWithDensePmiMatrix { + val Identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier(Algorithm.StrongTiePredictionRec.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceWithLegacyPmiMatrix.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceWithLegacyPmiMatrix.scala new file mode 100644 index 000000000..7e17b2e8a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStpSourceWithLegacyPmiMatrix.scala @@ -0,0 +1,23 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.google.inject.Singleton +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.generated.client.onboarding.userrecs.StrongTiePredictionClientColumn +import javax.inject.Inject + +/** + * Main source for strong-tie-prediction candidates generated offline. + */ +@Singleton +class OfflineStpSourceWithLegacyPmiMatrix @Inject() ( + stpColumn: StrongTiePredictionClientColumn) + extends OfflineStrongTiePredictionBaseSource(stpColumn.fetcher) { + override val identifier: CandidateSourceIdentifier = + OfflineStpSourceWithLegacyPmiMatrix.Identifier +} + +object OfflineStpSourceWithLegacyPmiMatrix { + val Identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier(Algorithm.StrongTiePredictionRec.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStrongTiePredictionBaseSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStrongTiePredictionBaseSource.scala new file mode 100644 index 000000000..a46d49662 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStrongTiePredictionBaseSource.scala @@ -0,0 +1,57 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.hermit.stp.thriftscala.STPResult +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import com.twitter.timelines.configapi.HasParams + +/** Base class that all variants of our offline stp dataset can extend. Assumes the same STPResult + * value in the key and converts the result into the necessary internal model. + */ +abstract class OfflineStrongTiePredictionBaseSource( + fetcher: Fetcher[Long, Unit, STPResult]) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] { + + def fetch( + target: Long, + ): Stitch[Seq[CandidateUser]] = { + fetcher + .fetch(target) + .map { result => + result.v + .map { candidates => OfflineStrongTiePredictionBaseSource.map(target, candidates) } + .getOrElse(Nil) + .map(_.withCandidateSource(identifier)) + } + } + + override def apply(request: HasParams with HasClientContext): Stitch[Seq[CandidateUser]] = { + request.getOptionalUserId.map(fetch).getOrElse(Stitch.Nil) + } +} + +object OfflineStrongTiePredictionBaseSource { + def map(target: Long, candidates: STPResult): Seq[CandidateUser] = { + for { + candidate <- candidates.strongTieUsers.sortBy(-_.score) + } yield CandidateUser( + id = candidate.userId, + score = Some(candidate.score), + reason = Some( + Reason( + Some( + AccountProof( + followProof = candidate.socialProof.map(proof => FollowProof(proof, proof.size)) + ) + ) + ) + ) + ) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStrongTiePredictionSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStrongTiePredictionSource.scala new file mode 100644 index 000000000..6a1cb3983 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OfflineStrongTiePredictionSource.scala @@ -0,0 +1,44 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.candidate_sources.stp.OfflineStpSourceParams.UseDenserPmiMatrix +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.component_library.model.candidate.UserCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.util.logging.Logging +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject + +object OfflineStpScore extends Feature[UserCandidate, Option[Double]] + +/** + * Main source for strong-tie-prediction candidates generated offline. + */ +@Singleton +class OfflineStrongTiePredictionSource @Inject() ( + offlineStpSourceWithLegacyPmiMatrix: OfflineStpSourceWithLegacyPmiMatrix, + offlineStpSourceWithDensePmiMatrix: OfflineStpSourceWithDensePmiMatrix) + extends CandidateSource[HasParams with HasClientContext, CandidateUser] + with Logging { + override val identifier: CandidateSourceIdentifier = OfflineStrongTiePredictionSource.Identifier + + override def apply(request: HasParams with HasClientContext): Stitch[Seq[CandidateUser]] = { + if (request.params(UseDenserPmiMatrix)) { + logger.info("Using dense PMI matrix.") + offlineStpSourceWithDensePmiMatrix(request) + } else { + logger.info("Using legacy PMI matrix.") + offlineStpSourceWithLegacyPmiMatrix(request) + } + } +} + +object OfflineStrongTiePredictionSource { + val Identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier(Algorithm.StrongTiePredictionRec.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceFSConfig.scala new file mode 100644 index 000000000..ff61cc29c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceFSConfig.scala @@ -0,0 +1,15 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class OnlineSTPSourceFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean] with FSName] = Seq( + OnlineSTPSourceParams.DisableHeavyRanker, + OnlineSTPSourceParams.UseDBv2Scorer, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceParams.scala new file mode 100644 index 000000000..e6224d359 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceParams.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param + +object OnlineSTPSourceParams { + // This replaces the old scorer module, located at EpStpScorer.scala, with the new scorer, located + // at Dbv2StpScorer.scala. + case object UseDBv2Scorer + extends FSParam[Boolean]("online_stp_source_dbv2_scorer_enabled", default = false) + + // For experiments that test the impact of an improved OnlineSTP source, this controls the usage + // of the PostNux heavy-ranker. Note that this FS should *NOT* trigger bucket impressions. + case object DisableHeavyRanker + extends FSParam[Boolean]("online_stp_source_disable_heavy_ranker", default = false) + + case object SetPredictionDetails extends Param[Boolean](default = false) + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceScorer.scala new file mode 100644 index 000000000..16bc60776 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceScorer.scala @@ -0,0 +1,29 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class OnlineSTPSourceScorer @Inject() ( + onlineSTPSourceWithEPScorer: OnlineSTPSourceWithEPScorer) + extends CandidateSource[ + HasClientContext with HasParams with HasRecentFollowedUserIds, + CandidateUser + ] { + + override def apply( + request: HasClientContext with HasParams with HasRecentFollowedUserIds + ): Stitch[Seq[CandidateUser]] = { + onlineSTPSourceWithEPScorer(request) + } + + override val identifier: CandidateSourceIdentifier = BaseOnlineSTPSource.Identifier +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceWithDeepbirdV2Scorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceWithDeepbirdV2Scorer.scala new file mode 100644 index 000000000..b8f348fea --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceWithDeepbirdV2Scorer.scala @@ -0,0 +1,76 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.onboarding.relevance.features.strongtie.{ + StrongTieFeatures => StrongTieFeaturesWrapper +} +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.STPRecord +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class OnlineSTPSourceWithDeepbirdV2Scorer @Inject() ( + dbv2StpScorer: Dbv2StpScorer, + stpGraphBuilder: STPGraphBuilder, + baseStatReceiver: StatsReceiver) + extends BaseOnlineSTPSource(stpGraphBuilder, baseStatReceiver) { + + private val dbv2ScorerUsedCounter = statsReceiver.counter("dbv2_scorer_used") + private val dbv2ScorerFailureCounter = statsReceiver.counter("dbv2_scorer_failure") + private val dbv2ScorerSuccessCounter = statsReceiver.counter("dbv2_scorer_success") + + override def getCandidates( + records: Seq[STPRecord], + request: HasClientContext with HasParams with HasRecentFollowedUserIds, + ): Stitch[Seq[CandidateUser]] = { + val possibleCandidates: Seq[Stitch[Option[CandidateUser]]] = records.map { trainingRecord => + dbv2ScorerUsedCounter.incr() + val score = dbv2StpScorer.getScoredResponse(trainingRecord) + score.map { + case None => + dbv2ScorerFailureCounter.incr() + None + case Some(scoreVal) => + dbv2ScorerSuccessCounter.incr() + Some( + CandidateUser( + id = trainingRecord.destinationId, + score = Some(OnlineSTPSourceWithDeepbirdV2Scorer.logitSubtraction(scoreVal)), + reason = Some( + Reason(Some( + AccountProof(followProof = + Some(FollowProof(trainingRecord.socialProof, trainingRecord.socialProof.size))) + ))) + ).withCandidateSourceAndFeatures( + identifier, + Seq(StrongTieFeaturesWrapper(trainingRecord.features))) + ) + } + } + Stitch.collect(possibleCandidates).map { _.flatten.sortBy(-_.score.getOrElse(0.0)) } + } +} + +object OnlineSTPSourceWithDeepbirdV2Scorer { + // The following two variables are the means for the distribution of scores coming from the legacy + // and DBv2 OnlineSTP models. We need this to calibrate the DBv2 scores and align the two means. + // BQ Link: https://console.cloud.google.com/bigquery?sq=213005704923:e06ac27e4db74385a77a4b538c531f82 + private val legacyMeanScore = 0.0478208871192468 + private val dbv2MeanScore = 0.238666097210261 + + // In below are the necessary functions to calibrate the scores such that the means are aligned. + private val EPS: Double = 1e-8 + private val e: Double = math.exp(1) + private def sigmoid(x: Double): Double = math.pow(e, x) / (math.pow(e, x) + 1) + // We add an EPS to the denominator to avoid division by 0. + private def logit(x: Double): Double = math.log(x / (1 - x + EPS)) + def logitSubtraction(x: Double): Double = sigmoid( + logit(x) - (logit(dbv2MeanScore) - logit(legacyMeanScore))) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceWithEPScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceWithEPScorer.scala new file mode 100644 index 000000000..1c6163852 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/OnlineSTPSourceWithEPScorer.scala @@ -0,0 +1,58 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.stp.OnlineSTPSourceParams.SetPredictionDetails +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.onboarding.relevance.features.strongtie.{ + StrongTieFeatures => StrongTieFeaturesWrapper +} +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.logging.Logging +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.STPRecord +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class OnlineSTPSourceWithEPScorer @Inject() ( + epStpScorer: EpStpScorer, + stpGraphBuilder: STPGraphBuilder, + baseStatReceiver: StatsReceiver) + extends BaseOnlineSTPSource(stpGraphBuilder, baseStatReceiver) + with Logging { + private val epScorerUsedCounter = statsReceiver.counter("ep_scorer_used") + + override def getCandidates( + records: Seq[STPRecord], + request: HasClientContext with HasParams with HasRecentFollowedUserIds, + ): Stitch[Seq[CandidateUser]] = { + epScorerUsedCounter.incr() + + val possibleCandidates: Seq[Stitch[Option[CandidateUser]]] = records.map { trainingRecord => + val scoredResponse = + epStpScorer.getScoredResponse(trainingRecord.record, request.params(SetPredictionDetails)) + scoredResponse.map(_.map { response: ScoredResponse => + logger.debug(response) + CandidateUser( + id = trainingRecord.destinationId, + score = Some(response.score), + reason = Some( + Reason( + Some( + AccountProof(followProof = + Some(FollowProof(trainingRecord.socialProof, trainingRecord.socialProof.size))) + ))) + ).withCandidateSourceAndFeatures( + identifier, + Seq(StrongTieFeaturesWrapper(trainingRecord.features))) + }) + } + + Stitch.collect(possibleCandidates).map { _.flatten.sortBy(-_.score.getOrElse(0.0)) } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/README.md new file mode 100644 index 000000000..f3d415d3a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/README.md @@ -0,0 +1,47 @@ +# Strong Tie Prediction (STP) Candidate Source +Provides accounts with a high probability of potential mutual follows between the target user and the candidates. + +## STP: Strong Tie Prediction +STP refers to the prediction of p(MutualFollow) for a given pair of users, which powers the concept of People You May Know (PYMK). + +For training, positives are existing mutual follows and negatives are mutual follows of your follows. Features help distinguish between friends and friends-of-friends. + +For inference, candidates are the topK mutuals of your follows. These are rescored, and we only send the topN to the product or next re-ranker. + + +### Online STP +Online STP generates a pool of candidates who are then ranked via a lightweight ranker. +It does this through a two-hop expansion of the mutual follow graph of users, where the first-degree neighbor is another user who has a link with the target user from following types: +* Mutual Follow +* Outbound phone contacts +* Outbound email contacts +* Inbound phone contacts +* Inbound email contacts + +The second-degree neighbor can only be a mutual follow link. + +Currently, online STP can only perform the two-hop expansions on new users (<= 30 days since signup) due to compute resource constraints. + +Features used for the lightweight ranker: +* realGraphWeight: real graph weight between user and first degree nodes +* isForwardEmail: whether the candidate is in the user's email book +* isReverseEmail: whether the user is in the candidate's email book +* isForwardPhonebook: whether the candidate is in the user's phone book +* isReversePhonebook: whether the user is in the candidate's phone book +* numMutualFollowPath: number of mutual follow path between the user and the candidate +* numLowTweepcredFollowPath: number of mutual low TweepCred path between the user and the candidate + * Tweepcred is a social network analysis tool that calculates the influence of Twitter users based on their interactions with other users. The tool uses the PageRank algorithm to rank users based on their influence. +* hasForwardEmailPath: is there a third user x in the user's email book that connect user -> x -> candidate? +* hasReverseEmailPath: is there a third user x in the user's reverse email book that connect user -> x -> candidate? +* hasForwardPhonebookPath: is there a third user x in the user's phonebook that connect user -> x -> candidate? +* hasReversePhonebookPath: is there a third user x in the user's reverse phonebook that connect user -> x -> candidate? + +### Offline STP +Offline STP is powered by Pointwise Mutual Information, which measures the association between two users based on Twitter's mutual follow graph. +An offline job generates candidates based on the overlap between their Mutual and Addressbook Follows and that of the target user. Candidates are then made available online. +Candidates in OfflineSTP are "accounts that have a high overlap of mutually-followed accounts with an account in your follow graph." +This can potentially mean that OfflineSTP has a bigger reach than OnlineSTP. +For example, in the provided diagram, B and C have a high overlap of mutual follows, so it would be considered a candidate for A that is three hops away. +![img.png](img.png) + +Overall, STP is a useful candidate source for generating potential follow recommendations based on strong ties between users, but it should be used in conjunction with other candidate sources and re-rankers to provide a well-rounded set of recommendations for the target user. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPFirstDegreeFetcher.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPFirstDegreeFetcher.scala new file mode 100644 index 000000000..477e19eb5 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPFirstDegreeFetcher.scala @@ -0,0 +1,155 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardPhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReverseEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReversePhoneBookSource +import com.twitter.follow_recommendations.common.clients.real_time_real_graph.RealTimeRealGraphClient +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.follow_recommendations.common.models.PotentialFirstDegreeEdge +import com.twitter.follow_recommendations.common.stores.LowTweepCredFollowStore +import com.twitter.hermit.model.Algorithm +import com.twitter.hermit.model.Algorithm.Algorithm +import com.twitter.inject.Logging +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Duration +import com.twitter.util.Timer +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.FirstDegreeEdge +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.FirstDegreeEdgeInfo +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.FirstDegreeEdgeInfoMonoid +import javax.inject.Inject +import javax.inject.Singleton + +// Grabs FirstDegreeNodes from Candidate Sources +@Singleton +class STPFirstDegreeFetcher @Inject() ( + realTimeGraphClient: RealTimeRealGraphClient, + reversePhoneBookSource: ReversePhoneBookSource, + reverseEmailBookSource: ReverseEmailBookSource, + forwardEmailBookSource: ForwardEmailBookSource, + forwardPhoneBookSource: ForwardPhoneBookSource, + mutualFollowStrongTiePredictionSource: MutualFollowStrongTiePredictionSource, + lowTweepCredFollowStore: LowTweepCredFollowStore, + timer: Timer, + statsReceiver: StatsReceiver) + extends Logging { + + private val stats = statsReceiver.scope("STPFirstDegreeFetcher") + private val stitchRequests = stats.scope("stitchRequests") + private val allStitchRequests = stitchRequests.counter("all") + private val timeoutStitchRequests = stitchRequests.counter("timeout") + private val successStitchRequests = stitchRequests.counter("success") + + private implicit val firstDegreeEdgeInfoMonoid: FirstDegreeEdgeInfoMonoid = + new FirstDegreeEdgeInfoMonoid + + /** + * Used to map from algorithm to the correct fetcher and firstDegreeEdgeInfo. + * Afterward, uses fetcher to get candidates and construct the correct FirstDegreeEdgeInfo. + * */ + private def getPotentialFirstEdgesFromFetcher( + userId: Long, + target: HasClientContext with HasParams with HasRecentFollowedUserIds, + algorithm: Algorithm, + weight: Double + ): Stitch[Seq[PotentialFirstDegreeEdge]] = { + val (candidates, edgeInfo) = algorithm match { + case Algorithm.MutualFollowSTP => + ( + mutualFollowStrongTiePredictionSource(target), + Some(FirstDegreeEdgeInfo(mutualFollow = true))) + case Algorithm.ReverseEmailBookIbis => + (reverseEmailBookSource(target), Some(FirstDegreeEdgeInfo(reverseEmail = true))) + case Algorithm.ReversePhoneBook => + (reversePhoneBookSource(target), Some(FirstDegreeEdgeInfo(reversePhone = true))) + case Algorithm.ForwardEmailBook => + (forwardEmailBookSource(target), Some(FirstDegreeEdgeInfo(forwardEmail = true))) + case Algorithm.ForwardPhoneBook => + (forwardPhoneBookSource(target), Some(FirstDegreeEdgeInfo(forwardPhone = true))) + case Algorithm.LowTweepcredFollow => + ( + lowTweepCredFollowStore.getLowTweepCredUsers(target), + Some(FirstDegreeEdgeInfo(lowTweepcredFollow = true))) + case _ => + (Stitch.Nil, None) + } + candidates.map(_.flatMap { candidate => + edgeInfo.map(PotentialFirstDegreeEdge(userId, candidate.id, algorithm, weight, _)) + }) + } + + /** + * Using the DefaultMap (AlgorithmToScore) we iterate through algorithm/weights to get + * candidates with a set weight. Then, given repeating candidates (by candidate id). + * Given those candidates we group by the candidateId and sum all below weights and combine + * the edgeInfos of into one. Then we choose the candidates with most weight. Finally, + * we attach the realGraphWeight score to those candidates. + * */ + def getFirstDegreeEdges( + target: HasClientContext with HasParams with HasRecentFollowedUserIds + ): Stitch[Seq[FirstDegreeEdge]] = { + target.getOptionalUserId + .map { userId => + allStitchRequests.incr() + val firstEdgesQueryStitch = Stitch + .collect(STPFirstDegreeFetcher.DefaultGraphBuilderAlgorithmToScore.map { + case (algorithm, candidateWeight) => + getPotentialFirstEdgesFromFetcher(userId, target, algorithm, candidateWeight) + }.toSeq) + .map(_.flatten) + + val destinationIdsToEdges = firstEdgesQueryStitch + .map(_.groupBy(_.connectingId).map { + case (destinationId: Long, edges: Seq[PotentialFirstDegreeEdge]) => + val combinedDestScore = edges.map(_.score).sum + val combinedEdgeInfo: FirstDegreeEdgeInfo = + edges.map(_.edgeInfo).fold(firstDegreeEdgeInfoMonoid.zero) { + (aggregatedInfo, currentInfo) => + firstDegreeEdgeInfoMonoid.plus(aggregatedInfo, currentInfo) + } + (destinationId, combinedEdgeInfo, combinedDestScore) + }).map(_.toSeq) + + val topDestinationEdges = destinationIdsToEdges.map(_.sortBy { + case (_, _, combinedDestScore) => -combinedDestScore + }.take(STPFirstDegreeFetcher.MaxNumFirstDegreeEdges)) + + Stitch + .join(realTimeGraphClient.getRealGraphWeights(userId), topDestinationEdges).map { + case (realGraphWeights, topDestinationEdges) => + successStitchRequests.incr() + topDestinationEdges.map { + case (destinationId, combinedEdgeInfo, _) => + val updatedEdgeInfo = combinedEdgeInfo.copy( + realGraphWeight = realGraphWeights.getOrElse(destinationId, 0.0), + lowTweepcredFollow = + !combinedEdgeInfo.mutualFollow && combinedEdgeInfo.lowTweepcredFollow + ) + FirstDegreeEdge(userId, destinationId, updatedEdgeInfo) + } + }.within(STPFirstDegreeFetcher.LongTimeoutFetcher)(timer).rescue { + case ex => + timeoutStitchRequests.incr() + logger.error("Exception while loading direct edges in OnlineSTP: ", ex) + Stitch.Nil + } + }.getOrElse(Stitch.Nil) + } +} + +object STPFirstDegreeFetcher { + val MaxNumFirstDegreeEdges = 200 + val DefaultGraphBuilderAlgorithmToScore = Map( + Algorithm.MutualFollowSTP -> 10.0, + Algorithm.LowTweepcredFollow -> 6.0, + Algorithm.ForwardEmailBook -> 7.0, + Algorithm.ForwardPhoneBook -> 9.0, + Algorithm.ReverseEmailBookIbis -> 5.0, + Algorithm.ReversePhoneBook -> 8.0 + ) + val LongTimeoutFetcher: Duration = 300.millis +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPGraphBuilder.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPGraphBuilder.scala new file mode 100644 index 000000000..0d2fe7ffc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPGraphBuilder.scala @@ -0,0 +1,32 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.finagle.stats.Stat +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.follow_recommendations.common.models.STPGraph +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class STPGraphBuilder @Inject() ( + stpFirstDegreeFetcher: STPFirstDegreeFetcher, + stpSecondDegreeFetcher: STPSecondDegreeFetcher, + statsReceiver: StatsReceiver) { + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getSimpleName) + private val firstDegreeStat: Stat = stats.stat("first_degree_edges") + private val secondDegreeStat: Stat = stats.stat("second_degree_edges") + def apply( + target: HasClientContext with HasParams with HasRecentFollowedUserIds + ): Stitch[STPGraph] = stpFirstDegreeFetcher + .getFirstDegreeEdges(target).flatMap { firstDegreeEdges => + firstDegreeStat.add(firstDegreeEdges.size) + stpSecondDegreeFetcher + .getSecondDegreeEdges(target, firstDegreeEdges).map { secondDegreeEdges => + secondDegreeStat.add(firstDegreeEdges.size) + STPGraph(firstDegreeEdges.toList, secondDegreeEdges.toList) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPSecondDegreeFetcher.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPSecondDegreeFetcher.scala new file mode 100644 index 000000000..b7e996ab3 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/STPSecondDegreeFetcher.scala @@ -0,0 +1,94 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.twitter.follow_recommendations.common.models.IntermediateSecondDegreeEdge +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.StrongTiePredictionFeaturesOnUserClientColumn +import com.twitter.timelines.configapi.HasParams +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.FirstDegreeEdge +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.SecondDegreeEdge +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.SecondDegreeEdgeInfo +import javax.inject.Inject +import javax.inject.Singleton + +// Link to code functionality we're migrating +@Singleton +class STPSecondDegreeFetcher @Inject() ( + strongTiePredictionFeaturesOnUserClientColumn: StrongTiePredictionFeaturesOnUserClientColumn) { + + private def scoreSecondDegreeEdge(edge: SecondDegreeEdge): (Int, Int, Int) = { + def bool2int(b: Boolean): Int = if (b) 1 else 0 + ( + -edge.edgeInfo.numMutualFollowPath, + -edge.edgeInfo.numLowTweepcredFollowPath, + -(bool2int(edge.edgeInfo.forwardEmailPath) + bool2int(edge.edgeInfo.reverseEmailPath) + + bool2int(edge.edgeInfo.forwardPhonePath) + bool2int(edge.edgeInfo.reversePhonePath)) + ) + } + + // Use each first-degree edge(w/ candidateId) to expand and find mutual follows. + // Then, with the mutual follows, group-by candidateId and join edge information + // to create secondDegree edges. + def getSecondDegreeEdges( + target: HasClientContext with HasParams, + firstDegreeEdges: Seq[FirstDegreeEdge] + ): Stitch[Seq[SecondDegreeEdge]] = { + target.getOptionalUserId + .map { userId => + val firstDegreeConnectingIds = firstDegreeEdges.map(_.dstId) + val firstDegreeEdgeInfoMap = firstDegreeEdges.map(e => (e.dstId, e.edgeInfo)).toMap + + val intermediateSecondDegreeEdgesStitch = Stitch + .traverse(firstDegreeConnectingIds) { connectingId => + val stpFeaturesOptStitch = strongTiePredictionFeaturesOnUserClientColumn.fetcher + .fetch(connectingId) + .map(_.v) + stpFeaturesOptStitch.map { stpFeatureOpt => + val intermediateSecondDegreeEdges = for { + edgeInfo <- firstDegreeEdgeInfoMap.get(connectingId) + stpFeatures <- stpFeatureOpt + topSecondDegreeUserIds = + stpFeatures.topMutualFollows + .getOrElse(Nil) + .map(_.userId) + .take(STPSecondDegreeFetcher.MaxNumOfMutualFollows) + } yield topSecondDegreeUserIds.map( + IntermediateSecondDegreeEdge(connectingId, _, edgeInfo)) + intermediateSecondDegreeEdges.getOrElse(Nil) + } + }.map(_.flatten) + + intermediateSecondDegreeEdgesStitch.map { intermediateSecondDegreeEdges => + val secondaryDegreeEdges = intermediateSecondDegreeEdges.groupBy(_.candidateId).map { + case (candidateId, intermediateEdges) => + SecondDegreeEdge( + srcId = userId, + dstId = candidateId, + edgeInfo = SecondDegreeEdgeInfo( + numMutualFollowPath = intermediateEdges.count(_.edgeInfo.mutualFollow), + numLowTweepcredFollowPath = + intermediateEdges.count(_.edgeInfo.lowTweepcredFollow), + forwardEmailPath = intermediateEdges.exists(_.edgeInfo.forwardEmail), + reverseEmailPath = intermediateEdges.exists(_.edgeInfo.reverseEmail), + forwardPhonePath = intermediateEdges.exists(_.edgeInfo.forwardPhone), + reversePhonePath = intermediateEdges.exists(_.edgeInfo.reversePhone), + socialProof = intermediateEdges + .filter { e => e.edgeInfo.mutualFollow || e.edgeInfo.lowTweepcredFollow } + .sortBy(-_.edgeInfo.realGraphWeight) + .take(3) + .map { c => (c.connectingId, c.edgeInfo.realGraphWeight) } + ) + ) + } + secondaryDegreeEdges.toSeq + .sortBy(scoreSecondDegreeEdge) + .take(STPSecondDegreeFetcher.MaxNumSecondDegreeEdges) + } + }.getOrElse(Stitch.Nil) + } +} + +object STPSecondDegreeFetcher { + val MaxNumSecondDegreeEdges = 200 + val MaxNumOfMutualFollows = 50 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/SocialProofEnforcedOfflineStrongTiePredictionSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/SocialProofEnforcedOfflineStrongTiePredictionSource.scala new file mode 100644 index 000000000..140b8b156 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/SocialProofEnforcedOfflineStrongTiePredictionSource.scala @@ -0,0 +1,28 @@ +package com.twitter.follow_recommendations.common.candidate_sources.stp + +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.base.SocialProofEnforcedCandidateSource +import com.twitter.follow_recommendations.common.transforms.modify_social_proof.ModifySocialProof +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import javax.inject.Inject + +@Singleton +class SocialProofEnforcedOfflineStrongTiePredictionSource @Inject() ( + offlineStrongTiePredictionSource: OfflineStrongTiePredictionSource, + modifySocialProof: ModifySocialProof, + statsReceiver: StatsReceiver) + extends SocialProofEnforcedCandidateSource( + offlineStrongTiePredictionSource, + modifySocialProof, + SocialProofEnforcedOfflineStrongTiePredictionSource.MinNumSocialProofsRequired, + SocialProofEnforcedOfflineStrongTiePredictionSource.Identifier, + statsReceiver) + +object SocialProofEnforcedOfflineStrongTiePredictionSource { + val Identifier = CandidateSourceIdentifier( + Algorithm.StrongTiePredictionRecWithSocialProof.toString) + + val MinNumSocialProofsRequired = 1 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp/img.png 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zJX&l@jAB^owN%@^1MDj#&|$YKlMq?8+NqBt$gWo&ggx54muc%Up^v=O1oY+QjEtzE(Nui~o(48_!d`oOd!@O#S^Xt!`lw`1r&H$va#;KL`N#^pzqQT+G^W6{ z&VsBeopt7~>&&JTBq*BjIWa7lYc`Db9UUF_*O|e?!CpiF>fqp@9{Loe5GAf}!@|N; zwPH_0!RNc@Hy{w(^}B>PgY|DK0{qq61&JfRfQSsN78JO(wY75f>Q(9M>(faDX8)Ty zP;YPFzO8l@$SV^AxFU>{Qj+3bM|g9?I524Uvv(*1jX*aMj( zIF_g&3S9EB4Dp&h=y-)N^8x# { + organicFollowsAccountsClientColumn.fetcher + .fetch(k) + .map { result => result.v } + } + ) + + /** returns a Seq of ''potential'' content */ + override def apply( + target: TopOrganicFollowsAccountsSource.Target + ): Stitch[Seq[CandidateUser]] = { + if (!target.params(CandidateSourceEnabled)) { + return Stitch.value(Seq[CandidateUser]()) + } + requestsStats.incr() + target.getCountryCode + .orElse(target.geohashAndCountryCode.flatMap(_.countryCode)).map { countryCode => + Stitch + .collect(target + .params(AccountsFilteringAndRankingLogics).map(logic => + cache.readThrough(countryCode.toUpperCase() + "-" + logic))) + .onSuccess(_ => { + successStats.incr() + }) + .onFailure(t => { + debug("candidate source failed identifier = %s".format(identifier), t) + errorStats.incr() + }) + .map(transformOrganicFollowAccountssToCandidateSource) + }.getOrElse { + noCountryCodeStats.incr() + Stitch.value(Seq[CandidateUser]()) + } + } + + private def transformOrganicFollowAccountssToCandidateSource( + organicFollowsAccounts: Seq[Option[OrganicFollowsAccounts]] + ): Seq[CandidateUser] = { + organicFollowsAccounts + .flatMap(opt => + opt + .map(accounts => + accounts.accounts.map(account => + CandidateUser( + id = account.accountId, + score = Some(account.followedCountScore), + ).withCandidateSource(identifier))) + .getOrElse(Seq[CandidateUser]())) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/BUILD new file mode 100644 index 000000000..f69443cf6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/BUILD @@ -0,0 +1,21 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/README.md new file mode 100644 index 000000000..dcaec2298 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/README.md @@ -0,0 +1,5 @@ +# Triangular Loops Candidate Source +Provides account candidates based on the graph structures of the form u -> v -> w -> u, +where the arrow indicates a follow edge. In other words, it looks for triangular loops in the user-user graph. + +If the edge v -> u does not exist in the triangular loop, the Triangular Loops Candidate Source recommends u as a potential outbound mutual follow candidate for v. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsFSConfig.scala new file mode 100644 index 000000000..444fecd0e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsFSConfig.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.candidate_sources.triangular_loops + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class TriangularLoopsFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean] with FSName] = Nil +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsParams.scala new file mode 100644 index 000000000..9fb80235e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsParams.scala @@ -0,0 +1,11 @@ +package com.twitter.follow_recommendations.common.candidate_sources.triangular_loops + +import com.twitter.timelines.configapi.FSParam + +object TriangularLoopsParams { + + object KeepOnlyCandidatesWhoFollowTargetUser + extends FSParam[Boolean]( + "triangular_loops_keep_only_candidates_who_follow_target_user", + false) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsSource.scala new file mode 100644 index 000000000..73e187ba4 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops/TriangularLoopsSource.scala @@ -0,0 +1,91 @@ +package com.twitter.follow_recommendations.common.candidate_sources.triangular_loops + +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.common.models.HasRecentFollowedByUserIds +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.TriangularLoopsV2OnUserClientColumn +import com.twitter.timelines.configapi.HasParams +import com.twitter.wtf.triangular_loop.thriftscala.Candidates +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class TriangularLoopsSource @Inject() ( + triangularLoopsV2Column: TriangularLoopsV2OnUserClientColumn) + extends CandidateSource[ + HasParams with HasClientContext with HasRecentFollowedByUserIds, + CandidateUser + ] { + + override val identifier: CandidateSourceIdentifier = TriangularLoopsSource.Identifier + + override def apply( + target: HasParams with HasClientContext with HasRecentFollowedByUserIds + ): Stitch[Seq[CandidateUser]] = { + val candidates = target.getOptionalUserId + .map { userId => + val fetcher = triangularLoopsV2Column.fetcher + fetcher + .fetch(userId) + .map { result => + result.v + .map(TriangularLoopsSource.mapCandidatesToCandidateUsers) + .getOrElse(Nil) + } + }.getOrElse(Stitch.Nil) + // Make sure recentFollowedByUserIds is populated within the RequestBuilder before enable it + if (target.params(TriangularLoopsParams.KeepOnlyCandidatesWhoFollowTargetUser)) + filterOutCandidatesNotFollowingTargetUser(candidates, target.recentFollowedByUserIds) + else + candidates + } + + def filterOutCandidatesNotFollowingTargetUser( + candidatesStitch: Stitch[Seq[CandidateUser]], + recentFollowings: Option[Seq[Long]] + ): Stitch[Seq[CandidateUser]] = { + candidatesStitch.map { candidates => + val recentFollowingIdsSet = recentFollowings.getOrElse(Nil).toSet + candidates.filter(candidate => recentFollowingIdsSet.contains(candidate.id)) + } + } +} + +object TriangularLoopsSource { + + val Identifier = CandidateSourceIdentifier(Algorithm.TriangularLoop.toString) + val NumResults = 100 + + def mapCandidatesToCandidateUsers(candidates: Candidates): Seq[CandidateUser] = { + candidates.candidates + .map { candidate => + CandidateUser( + id = candidate.incomingUserId, + score = Some(1.0 / math + .max(1, candidate.numFollowers.getOrElse(0) + candidate.numFollowings.getOrElse(0))), + reason = Some( + Reason( + Some( + AccountProof( + followProof = + if (candidate.socialProofUserIds.isEmpty) None + else + Some( + FollowProof( + candidate.socialProofUserIds, + candidate.numSocialProof.getOrElse(candidate.socialProofUserIds.size))) + ) + ) + ) + ) + ).withCandidateSource(Identifier) + }.sortBy(-_.score.getOrElse(0.0)).take(NumResults) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/BUILD new file mode 100644 index 000000000..ad7d6805e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/BUILD @@ -0,0 +1,20 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "src/thrift/com/twitter/hermit/candidate:hermit-candidate-scala", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/README.md new file mode 100644 index 000000000..39c984926 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/README.md @@ -0,0 +1,7 @@ +# Two-hop Random Walk +The TwoHopRandomWalk algorithm re-ranks a user's second degree connections based on recent engagement strength. The algorithm works as follows: + +* Given a user `src`, find their top K first degree connections `fd(1)`, `fd(2)`, `fd(3)`,...,`fd(K)`. The ranking is based on real graph weights, which measure the recent engagement strength on the edges. +* For each of the first degree connections `fd(i)`, expand to their top L connections via real graph, `sd(i,1)`, `sd(i,2)`,...,`sd(i,L)`. Note that sd nodes can also be `src`'s first degree nodes. +* Aggregate all the nodes in step 2, filter out the first degree nodes, and calculate the weighted sum for the second degree. +* Re-rank the second degree nodes and select the top M results as the algorithm output. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/TwoHopRandomWalkSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/TwoHopRandomWalkSource.scala new file mode 100644 index 000000000..5ce2fee70 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk/TwoHopRandomWalkSource.scala @@ -0,0 +1,40 @@ +package com.twitter.follow_recommendations.common.candidate_sources.two_hop_random_walk + +import com.twitter.follow_recommendations.common.candidate_sources.base.StratoFetcherWithUnitViewSource +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.strato.client.Fetcher +import com.twitter.wtf.candidate.thriftscala.{CandidateSeq => TCandidateSeq} +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class TwoHopRandomWalkSource @Inject() ( + @Named(GuiceNamedConstants.TWO_HOP_RANDOM_WALK_FETCHER) fetcher: Fetcher[ + Long, + Unit, + TCandidateSeq + ]) extends StratoFetcherWithUnitViewSource[Long, TCandidateSeq]( + fetcher, + TwoHopRandomWalkSource.Identifier) { + + override def map(targetUserId: Long, tCandidateSeq: TCandidateSeq): Seq[CandidateUser] = + TwoHopRandomWalkSource.map(targetUserId, tCandidateSeq) + +} + +object TwoHopRandomWalkSource { + def map(targetUserId: Long, tCandidateSeq: TCandidateSeq): Seq[CandidateUser] = { + tCandidateSeq.candidates + .sortBy(-_.score) + .map { tCandidate => + CandidateUser(id = tCandidate.userId, score = Some(tCandidate.score)) + } + } + + val Identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier(Algorithm.TwoHopRandomWalk.toString) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/BUILD new file mode 100644 index 000000000..63b10be6c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/BUILD @@ -0,0 +1,18 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "src/thrift/com/twitter/recos/user_user_graph:user_user_graph-scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/README.md b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/README.md new file mode 100644 index 000000000..fa510fff7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/README.md @@ -0,0 +1,4 @@ +# User-User Graph Candidate Source +Provides account candidates generated from the User-User Graph (UUG). +## User-User Graph (UUG) +The UUG algorithm reads User-Follow-User engagements that occurred in the past 24-48 hours, and provides accounts that the given user's recent followings have recently followed themselves. The UUG algorithm is implemented using the real-time graph processing library GraphJet. diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphCandidateSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphCandidateSource.scala new file mode 100644 index 000000000..4571f1471 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphCandidateSource.scala @@ -0,0 +1,125 @@ +package com.twitter.follow_recommendations.common.candidate_sources.user_user_graph + +import com.twitter.finagle.stats.Counter +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.models._ +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.recos.recos_common.thriftscala.UserSocialProofType +import com.twitter.recos.user_user_graph.thriftscala.RecommendUserDisplayLocation +import com.twitter.recos.user_user_graph.thriftscala.RecommendUserRequest +import com.twitter.recos.user_user_graph.thriftscala.RecommendUserResponse +import com.twitter.recos.user_user_graph.thriftscala.RecommendedUser +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class UserUserGraphCandidateSource @Inject() ( + @Named(GuiceNamedConstants.USER_USER_GRAPH_FETCHER) + fetcher: Fetcher[RecommendUserRequest, Unit, RecommendUserResponse], + statsReceiver: StatsReceiver) + extends CandidateSource[ + UserUserGraphCandidateSource.Target, + CandidateUser + ] { + + override val identifier: CandidateSourceIdentifier = UserUserGraphCandidateSource.Identifier + val stats: StatsReceiver = statsReceiver.scope("UserUserGraph") + val requestCounter: Counter = stats.counter("requests") + + override def apply( + target: UserUserGraphCandidateSource.Target + ): Stitch[Seq[CandidateUser]] = { + if (target.params(UserUserGraphParams.UserUserGraphCandidateSourceEnabledInWeightMap)) { + requestCounter.incr() + buildRecommendUserRequest(target) + .map { request => + fetcher + .fetch(request) + .map(_.v) + .map { responseOpt => + responseOpt + .map { response => + response.recommendedUsers + .sortBy(-_.score) + .map(convertToCandidateUsers) + .map(_.withCandidateSource(identifier)) + }.getOrElse(Nil) + } + }.getOrElse(Stitch.Nil) + } else { + Stitch.Nil + } + } + + private[this] def buildRecommendUserRequest( + target: UserUserGraphCandidateSource.Target + ): Option[RecommendUserRequest] = { + (target.getOptionalUserId, target.recentFollowedUserIds) match { + case (Some(userId), Some(recentFollowedUserIds)) => + // use recentFollowedUserIds as seeds for initial experiment + val seedsWithWeights: Map[Long, Double] = recentFollowedUserIds.map { + recentFollowedUserId => + recentFollowedUserId -> UserUserGraphCandidateSource.DefaultSeedWeight + }.toMap + val request = RecommendUserRequest( + requesterId = userId, + displayLocation = UserUserGraphCandidateSource.DisplayLocation, + seedsWithWeights = seedsWithWeights, + excludedUserIds = Some(target.excludedUserIds), + maxNumResults = Some(target.params.getInt(UserUserGraphParams.MaxCandidatesToReturn)), + maxNumSocialProofs = Some(UserUserGraphCandidateSource.MaxNumSocialProofs), + minUserPerSocialProof = Some(UserUserGraphCandidateSource.MinUserPerSocialProof), + socialProofTypes = Some(Seq(UserUserGraphCandidateSource.SocialProofType)) + ) + Some(request) + case _ => None + } + } + + private[this] def convertToCandidateUsers( + recommendedUser: RecommendedUser + ): CandidateUser = { + val socialProofUserIds = + recommendedUser.socialProofs.getOrElse(UserUserGraphCandidateSource.SocialProofType, Nil) + val reasonOpt = if (socialProofUserIds.nonEmpty) { + Some( + Reason( + Some(AccountProof(followProof = + Some(FollowProof(socialProofUserIds, socialProofUserIds.size))))) + ) + } else { + None + } + CandidateUser( + id = recommendedUser.userId, + score = Some(recommendedUser.score), + reason = reasonOpt) + } +} + +object UserUserGraphCandidateSource { + type Target = HasParams + with HasClientContext + with HasRecentFollowedUserIds + with HasExcludedUserIds + + val Identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( + Algorithm.UserUserGraph.toString) + //Use HomeTimeline for experiment + val DisplayLocation: RecommendUserDisplayLocation = RecommendUserDisplayLocation.HomeTimeLine + + //Default params used in MagicRecs + val DefaultSeedWeight: Double = 1.0 + val SocialProofType = UserSocialProofType.Follow + val MaxNumSocialProofs = 10 + val MinUserPerSocialProof: Map[UserSocialProofType, Int] = + Map[UserSocialProofType, Int]((SocialProofType, 2)) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphFSConfig.scala new file mode 100644 index 000000000..3d3015a36 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphFSConfig.scala @@ -0,0 +1,15 @@ +package com.twitter.follow_recommendations.common.candidate_sources.user_user_graph + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class UserUserGraphFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = Seq( + UserUserGraphParams.UserUserGraphCandidateSourceEnabledInWeightMap, + UserUserGraphParams.UserUserGraphCandidateSourceEnabledInTransform + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphParams.scala new file mode 100644 index 000000000..d146c3459 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph/UserUserGraphParams.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.common.candidate_sources.user_user_graph + +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param + +object UserUserGraphParams { + + // max number of candidates to return in total, 50 is the default param used in MagicRecs + object MaxCandidatesToReturn extends Param[Int](default = 50) + + // whether or not to include UserUserGraph candidate source in the weighted blending step + case object UserUserGraphCandidateSourceEnabledInWeightMap + extends FSParam[Boolean]("user_user_graph_candidate_source_enabled_in_weight_map", true) + + // whether or not to include UserUserGraph candidate source in the final transform step + case object UserUserGraphCandidateSourceEnabledInTransform + extends FSParam[Boolean]("user_user_graph_candidate_source_enabled_in_transform", true) + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/AddressbookClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/AddressbookClient.scala new file mode 100644 index 000000000..6fe1cee6f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/AddressbookClient.scala @@ -0,0 +1,221 @@ +package com.twitter.follow_recommendations.common.clients.addressbook + +import com.twitter.addressbook.datatypes.thriftscala.QueryType +import com.twitter.addressbook.thriftscala.AddressBookGetRequest +import com.twitter.addressbook.thriftscala.AddressBookGetResponse +import com.twitter.addressbook.thriftscala.Addressbook2 +import com.twitter.addressbook.thriftscala.ClientInfo +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.wtf.scalding.jobs.addressbook.thriftscala.STPResultFeature +import com.twitter.follow_recommendations.common.clients.addressbook.models.Contact +import com.twitter.follow_recommendations.common.clients.addressbook.models.EdgeType +import com.twitter.follow_recommendations.common.clients.addressbook.models.QueryOption +import com.twitter.follow_recommendations.common.clients.addressbook.models.RecordIdentifier +import com.twitter.wtf.scalding.jobs.address_book.ABUtil.hashContact +import com.twitter.wtf.scalding.jobs.address_book.ABUtil.normalizeEmail +import com.twitter.wtf.scalding.jobs.address_book.ABUtil.normalizePhoneNumber +import com.twitter.hermit.usercontacts.thriftscala.{UserContacts => tUserContacts} +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class AddressbookClient @Inject() ( + addressbookService: Addressbook2.MethodPerEndpoint, + statsReceiver: StatsReceiver = NullStatsReceiver) { + + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getSimpleName) + + private[this] def getResponseFromService( + identifiers: Seq[RecordIdentifier], + batchSize: Int, + edgeType: EdgeType, + maxFetches: Int, + queryOption: Option[QueryOption] + ): Stitch[Seq[AddressBookGetResponse]] = { + Stitch + .collect( + identifiers.map { identifier => + Stitch.callFuture( + addressbookService.get(AddressBookGetRequest( + clientInfo = ClientInfo(None), + identifier = identifier.toThrift, + edgeType = edgeType.toThrift, + queryType = QueryType.UserId, + queryOption = queryOption.map(_.toThrift), + maxFetches = maxFetches, + resultBatchSize = batchSize + ))) + } + ) + } + + private[this] def getContactsResponseFromService( + identifiers: Seq[RecordIdentifier], + batchSize: Int, + edgeType: EdgeType, + maxFetches: Int, + queryOption: Option[QueryOption] + ): Stitch[Seq[AddressBookGetResponse]] = { + Stitch + .collect( + identifiers.map { identifier => + Stitch.callFuture( + addressbookService.get(AddressBookGetRequest( + clientInfo = ClientInfo(None), + identifier = identifier.toThrift, + edgeType = edgeType.toThrift, + queryType = QueryType.Contact, + queryOption = queryOption.map(_.toThrift), + maxFetches = maxFetches, + resultBatchSize = batchSize + ))) + } + ) + } + + /** Mode of addressbook resolving logic + * ManhattanThenABV2: fetching manhattan cached result and backfill with addressbook v2 + * ABV2Only: calling addressbook v2 directly without fetching manhattan cached result + * This can be controlled by passing a fetcher or not. Passing a fetcher will attempt to use it, + * if not then it won't. + */ + def getUsers( + userId: Long, + identifiers: Seq[RecordIdentifier], + batchSize: Int, + edgeType: EdgeType, + fetcherOption: Option[Fetcher[Long, Unit, tUserContacts]] = None, + maxFetches: Int = 1, + queryOption: Option[QueryOption] = None, + ): Stitch[Seq[Long]] = { + fetcherOption match { + case Some(fetcher) => + getUsersFromManhattan(userId, fetcher).flatMap { userContacts => + if (userContacts.isEmpty) { + stats.counter("mhEmptyThenFromAbService").incr() + getResponseFromService(identifiers, batchSize, edgeType, maxFetches, queryOption) + .map(_.flatMap(_.users).flatten.distinct) + } else { + stats.counter("fromManhattan").incr() + Stitch.value(userContacts) + } + } + case None => + stats.counter("fromAbService").incr() + getResponseFromService(identifiers, batchSize, edgeType, maxFetches, queryOption) + .map(_.flatMap(_.users).flatten.distinct) + } + } + + def getHashedContacts( + normalizeFn: String => String, + extractField: String, + )( + userId: Long, + identifiers: Seq[RecordIdentifier], + batchSize: Int, + edgeType: EdgeType, + fetcherOption: Option[Fetcher[String, Unit, STPResultFeature]] = None, + maxFetches: Int = 1, + queryOption: Option[QueryOption] = None, + ): Stitch[Seq[String]] = { + + fetcherOption match { + case Some(fetcher) => + getContactsFromManhattan(userId, fetcher).flatMap { userContacts => + if (userContacts.isEmpty) { + getContactsResponseFromService( + identifiers, + batchSize, + edgeType, + maxFetches, + queryOption) + .map { response => + for { + resp <- response + contacts <- resp.contacts + contactsThrift = contacts.map(Contact.fromThrift) + contactsSet = extractField match { + case "emails" => contactsThrift.flatMap(_.emails.toSeq.flatten) + case "phoneNumbers" => contactsThrift.flatMap(_.phoneNumbers.toSeq.flatten) + } + hashedAndNormalizedContacts = contactsSet.map(c => hashContact(normalizeFn(c))) + } yield hashedAndNormalizedContacts + }.map(_.flatten) + } else { + Stitch.Nil + } + } + case None => { + getContactsResponseFromService(identifiers, batchSize, edgeType, maxFetches, queryOption) + .map { response => + for { + resp <- response + contacts <- resp.contacts + contactsThrift = contacts.map(Contact.fromThrift) + contactsSet = extractField match { + case "emails" => contactsThrift.flatMap(_.emails.toSeq.flatten) + case "phoneNumbers" => contactsThrift.flatMap(_.phoneNumbers.toSeq.flatten) + } + hashedAndNormalizedContacts = contactsSet.map(c => hashContact(normalizeFn(c))) + } yield hashedAndNormalizedContacts + }.map(_.flatten) + } + } + } + + def getEmailContacts = getHashedContacts(normalizeEmail, "emails") _ + def getPhoneContacts = getHashedContacts(normalizePhoneNumber, "phoneNumbers") _ + + private def getUsersFromManhattan( + userId: Long, + fetcher: Fetcher[Long, Unit, tUserContacts], + ): Stitch[Seq[Long]] = fetcher + .fetch(userId) + .map(_.v.map(_.destinationIds).toSeq.flatten.distinct) + + private def getContactsFromManhattan( + userId: Long, + fetcher: Fetcher[String, Unit, STPResultFeature], + ): Stitch[Seq[String]] = fetcher + .fetch(userId.toString) + .map(_.v.map(_.strongTieUserFeature.map(_.destId)).toSeq.flatten.distinct) +} + +object AddressbookClient { + val AddressBook2BatchSize = 500 + + def createQueryOption(edgeType: EdgeType, isPhone: Boolean): Option[QueryOption] = + (edgeType, isPhone) match { + case (EdgeType.Reverse, _) => + None + case (EdgeType.Forward, true) => + Some( + QueryOption( + onlyDiscoverableInExpansion = false, + onlyConfirmedInExpansion = false, + onlyDiscoverableInResult = false, + onlyConfirmedInResult = false, + fetchGlobalApiNamespace = false, + isDebugRequest = false, + resolveEmails = false, + resolvePhoneNumbers = true + )) + case (EdgeType.Forward, false) => + Some( + QueryOption( + onlyDiscoverableInExpansion = false, + onlyConfirmedInExpansion = false, + onlyDiscoverableInResult = false, + onlyConfirmedInResult = false, + fetchGlobalApiNamespace = false, + isDebugRequest = false, + resolveEmails = true, + resolvePhoneNumbers = false + )) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/AddressbookModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/AddressbookModule.scala new file mode 100644 index 000000000..97b841dd2 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/AddressbookModule.scala @@ -0,0 +1,10 @@ +package com.twitter.follow_recommendations.common.clients.addressbook + +import com.twitter.addressbook.thriftscala.Addressbook2 +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.common.clients.common.BaseClientModule + +object AddressbookModule extends BaseClientModule[Addressbook2.MethodPerEndpoint] with MtlsClient { + override val label = "addressbook" + override val dest = "/s/addressbook/addressbook2" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/BUILD new file mode 100644 index 000000000..b94cf3efe --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/BUILD @@ -0,0 +1,21 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "addressbook/thrift/src/thrift/com/twitter/addressbook:thrift-scala", + "addressbook/thrift/src/thrift/com/twitter/addressbook/datatypes:thrift-scala", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "src/scala/com/twitter/wtf/scalding/jobs/address_book:ab_util", + "src/thrift/com/twitter/hermit/usercontacts:hermit-usercontacts-scala", + "src/thrift/com/twitter/wtf/addressbook:addressbook-scala", + "stitch/stitch-core", + "strato/src/main/scala/com/twitter/strato/client", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/BUILD new file mode 100644 index 000000000..885055e2c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/BUILD @@ -0,0 +1,10 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "addressbook/thrift/src/thrift/com/twitter/addressbook:thrift-scala", + "addressbook/thrift/src/thrift/com/twitter/addressbook/datatypes:thrift-scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/Contact.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/Contact.scala new file mode 100644 index 000000000..3ff39fa32 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/Contact.scala @@ -0,0 +1,29 @@ +package com.twitter.follow_recommendations.common.clients.addressbook.models + +import com.twitter.addressbook.{thriftscala => t} +import com.twitter.util.Time + +case class Contact( + id: Long, + emails: Option[Set[String]], + phoneNumbers: Option[Set[String]], + firstName: Option[String], + lastName: Option[String], + name: Option[String], + appId: Option[Long], + appIds: Option[Set[Long]], + importedTimestamp: Option[Time]) + +object Contact { + def fromThrift(thriftContact: t.Contact): Contact = Contact( + thriftContact.id, + thriftContact.emails.map(_.toSet), + thriftContact.phoneNumbers.map(_.toSet), + thriftContact.firstName, + thriftContact.lastName, + thriftContact.name, + thriftContact.appId, + thriftContact.appIds.map(_.toSet), + thriftContact.importedTimestamp.map(Time.fromMilliseconds) + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/EdgeType.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/EdgeType.scala new file mode 100644 index 000000000..6cfcd65cd --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/EdgeType.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.common.clients.addressbook.models + +import com.twitter.addressbook.datatypes.{thriftscala => t} + +sealed trait EdgeType { + def toThrift: t.EdgeType +} + +object EdgeType { + case object Forward extends EdgeType { + override val toThrift: t.EdgeType = t.EdgeType.Forward + } + case object Reverse extends EdgeType { + override val toThrift: t.EdgeType = t.EdgeType.Reverse + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/QueryOption.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/QueryOption.scala new file mode 100644 index 000000000..a17c163cb --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/QueryOption.scala @@ -0,0 +1,24 @@ +package com.twitter.follow_recommendations.common.clients.addressbook.models + +import com.twitter.addressbook.{thriftscala => t} + +case class QueryOption( + onlyDiscoverableInExpansion: Boolean, + onlyConfirmedInExpansion: Boolean, + onlyDiscoverableInResult: Boolean, + onlyConfirmedInResult: Boolean, + fetchGlobalApiNamespace: Boolean, + isDebugRequest: Boolean, + resolveEmails: Boolean, + resolvePhoneNumbers: Boolean) { + def toThrift: t.QueryOption = t.QueryOption( + onlyDiscoverableInExpansion, + onlyConfirmedInExpansion, + onlyDiscoverableInResult, + onlyConfirmedInResult, + fetchGlobalApiNamespace, + isDebugRequest, + resolveEmails, + resolvePhoneNumbers + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/RecordIdentifier.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/RecordIdentifier.scala new file mode 100644 index 000000000..0154c71dc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook/models/RecordIdentifier.scala @@ -0,0 +1,10 @@ +package com.twitter.follow_recommendations.common.clients.addressbook.models + +import com.twitter.addressbook.datatypes.{thriftscala => t} + +case class RecordIdentifier( + userId: Option[Long], + email: Option[String], + phoneNumber: Option[String]) { + def toThrift: t.RecordIdentifier = t.RecordIdentifier(userId, email, phoneNumber) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdRequest.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdRequest.scala new file mode 100644 index 000000000..07cfcdaf5 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdRequest.scala @@ -0,0 +1,45 @@ +package com.twitter.follow_recommendations.common.clients.adserver + +import com.twitter.adserver.{thriftscala => t} +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext + +case class AdRequest( + clientContext: ClientContext, + displayLocation: DisplayLocation, + isTest: Option[Boolean], + profileUserId: Option[Long]) { + def toThrift: t.AdRequestParams = { + + val request = t.AdRequest( + displayLocation = displayLocation.toAdDisplayLocation.getOrElse( + throw new MissingAdDisplayLocation(displayLocation)), + isTest = isTest, + countImpressionsOnCallback = Some(true), + numOrganicItems = Some(AdRequest.DefaultNumOrganicItems.toShort), + profileUserId = profileUserId + ) + + val clientInfo = t.ClientInfo( + clientId = clientContext.appId.map(_.toInt), + userIp = clientContext.ipAddress, + userId64 = clientContext.userId, + guestId = clientContext.guestId, + userAgent = clientContext.userAgent, + referrer = None, + deviceId = clientContext.deviceId, + languageCode = clientContext.languageCode, + countryCode = clientContext.countryCode + ) + + t.AdRequestParams(request, clientInfo) + } +} + +object AdRequest { + val DefaultNumOrganicItems = 10 +} + +class MissingAdDisplayLocation(displayLocation: DisplayLocation) + extends Exception( + s"Display Location ${displayLocation.toString} has no mapped AdsDisplayLocation set.") diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdserverClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdserverClient.scala new file mode 100644 index 000000000..927c0784c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdserverClient.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.common.clients.adserver + +import com.twitter.adserver.thriftscala.NewAdServer +import com.twitter.adserver.{thriftscala => t} +import com.twitter.stitch.Stitch +import javax.inject.{Inject, Singleton} + +@Singleton +class AdserverClient @Inject() (adserverService: NewAdServer.MethodPerEndpoint) { + def getAdImpressions(adRequest: AdRequest): Stitch[Seq[t.AdImpression]] = { + Stitch + .callFuture( + adserverService.makeAdRequest(adRequest.toThrift) + ).map(_.impressions) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdserverModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdserverModule.scala new file mode 100644 index 000000000..9a425c058 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/AdserverModule.scala @@ -0,0 +1,15 @@ +package com.twitter.follow_recommendations.common.clients.adserver + +import com.twitter.adserver.thriftscala.NewAdServer +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.ThriftMux +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.common.clients.common.BaseClientModule + +object AdserverModule extends BaseClientModule[NewAdServer.MethodPerEndpoint] with MtlsClient { + override val label = "adserver" + override val dest = "/s/ads/adserver" + + override def configureThriftMuxClient(client: ThriftMux.Client): ThriftMux.Client = + client.withRequestTimeout(500.millis) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/BUILD new file mode 100644 index 000000000..c90656afe --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver/BUILD @@ -0,0 +1,14 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "src/thrift/com/twitter/ads/adserver:adserver_rpc-scala", + "stitch/stitch-core", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/BUILD new file mode 100644 index 000000000..a32739651 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/BUILD @@ -0,0 +1,15 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "cache/client", + "finagle/finagle-memcached/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-thrift-client/src/main/scala", + "stitch/stitch-core", + "util/util-core:scala", + "util/util-thrift", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/MemcacheClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/MemcacheClient.scala new file mode 100644 index 000000000..d00aef475 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/MemcacheClient.scala @@ -0,0 +1,121 @@ +package com.twitter.follow_recommendations.common.clients.cache + +import com.twitter.bijection.Bijection +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.Memcached.Client +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.io.Buf +import com.twitter.stitch.Stitch +import com.twitter.util.Duration +import com.twitter.util.Future +import com.twitter.util.Time +import java.security.MessageDigest + +object MemcacheClient { + def apply[V]( + client: Client, + dest: String, + valueBijection: Bijection[Buf, V], + ttl: Duration, + statsReceiver: StatsReceiver + ): MemcacheClient[V] = { + new MemcacheClient(client, dest, valueBijection, ttl, statsReceiver) + } +} + +class MemcacheClient[V]( + client: Client, + dest: String, + valueBijection: Bijection[Buf, V], + ttl: Duration, + statsReceiver: StatsReceiver) { + val cache = client.newRichClient(dest).adapt[V](valueBijection) + val cacheTtl = Time.fromSeconds(ttl.inSeconds) + + /** + * If cache contains key, return value from cache. Otherwise, run the underlying call + * to fetch the value, store it in cache, and then return the value. + */ + def readThrough( + key: String, + underlyingCall: () => Stitch[V] + ): Stitch[V] = { + val cachedResult: Stitch[Option[V]] = Stitch + .callFuture(getIfPresent(key)) + .within(70.millisecond)(DefaultTimer) + .rescue { + case e: Exception => + statsReceiver.scope("rescued").counter(e.getClass.getSimpleName).incr() + Stitch(None) + } + val resultStitch = cachedResult.map { resultOption => + resultOption match { + case Some(cacheValue) => Stitch.value(cacheValue) + case None => + val underlyingCallStitch = profileStitch( + underlyingCall(), + statsReceiver.scope("underlyingCall") + ) + underlyingCallStitch.map { result => + put(key, result) + result + } + } + }.flatten + // profile the overall Stitch, and return the result + profileStitch(resultStitch, statsReceiver.scope("readThrough")) + } + + def getIfPresent(key: String): Future[Option[V]] = { + cache + .get(hashString(key)) + .onSuccess { + case Some(value) => statsReceiver.counter("cache_hits").incr() + case None => statsReceiver.counter("cache_misses").incr() + } + .onFailure { + case e: Exception => + statsReceiver.counter("cache_misses").incr() + statsReceiver.scope("rescued").counter(e.getClass.getSimpleName).incr() + } + .rescue { + case _ => Future.None + } + } + + def put(key: String, value: V): Future[Unit] = { + cache.set(hashString(key), 0, cacheTtl, value) + } + + /** + * Hash the input key string to a fixed length format using SHA-256 hash function. + */ + def hashString(input: String): String = { + val bytes = MessageDigest.getInstance("SHA-256").digest(input.getBytes("UTF-8")) + bytes.map("%02x".format(_)).mkString + } + + /** + * Helper function for timing a stitch, returning the original stitch. + * + * Defining the profiling function here to keep the dependencies of this class + * generic and easy to export (i.e. copy-and-paste) into other services or packages. + */ + def profileStitch[T](stitch: Stitch[T], stat: StatsReceiver): Stitch[T] = { + Stitch + .time(stitch) + .map { + case (response, stitchRunDuration) => + stat.counter("requests").incr() + stat.stat("latency_ms").add(stitchRunDuration.inMilliseconds) + response + .onSuccess { _ => stat.counter("success").incr() } + .onFailure { e => + stat.counter("failures").incr() + stat.scope("failures").counter(e.getClass.getSimpleName).incr() + } + } + .lowerFromTry + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/MemcacheModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/MemcacheModule.scala new file mode 100644 index 000000000..e85d12f20 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/MemcacheModule.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.clients.cache + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.Memcached +import com.twitter.finagle.Memcached.Client +import com.twitter.finagle.mtls.client.MtlsStackClient._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.service.Retries +import com.twitter.finagle.service.RetryPolicy +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import javax.inject.Singleton + +object MemcacheModule extends TwitterModule { + @Provides + @Singleton + def provideMemcacheClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver, + ): Client = { + Memcached.client + .withMutualTls(serviceIdentifier) + .withStatsReceiver(statsReceiver.scope("twemcache")) + .withTransport.connectTimeout(1.seconds) + .withRequestTimeout(1.seconds) + .withSession.acquisitionTimeout(10.seconds) + .configured(Retries.Policy(RetryPolicy.tries(1))) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/ThriftBijection.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/ThriftBijection.scala new file mode 100644 index 000000000..62e36bc33 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache/ThriftBijection.scala @@ -0,0 +1,81 @@ +package com.twitter.follow_recommendations.common.clients.cache + +import com.twitter.bijection.Bijection +import com.twitter.io.Buf +import com.twitter.scrooge.CompactThriftSerializer +import com.twitter.scrooge.ThriftEnum +import com.twitter.scrooge.ThriftStruct +import java.nio.ByteBuffer + +abstract class ThriftBijection[T <: ThriftStruct] extends Bijection[Buf, T] { + val serializer: CompactThriftSerializer[T] + + override def apply(b: Buf): T = { + val byteArray = Buf.ByteArray.Owned.extract(b) + serializer.fromBytes(byteArray) + } + + override def invert(a: T): Buf = { + val byteArray = serializer.toBytes(a) + Buf.ByteArray.Owned(byteArray) + } +} + +abstract class ThriftOptionBijection[T <: ThriftStruct] extends Bijection[Buf, Option[T]] { + val serializer: CompactThriftSerializer[T] + + override def apply(b: Buf): Option[T] = { + if (b.isEmpty) { + None + } else { + val byteArray = Buf.ByteArray.Owned.extract(b) + Some(serializer.fromBytes(byteArray)) + } + } + + override def invert(a: Option[T]): Buf = { + a match { + case Some(t) => + val byteArray = serializer.toBytes(t) + Buf.ByteArray.Owned(byteArray) + case None => Buf.Empty + } + } +} + +class ThriftEnumBijection[T <: ThriftEnum](constructor: Int => T) extends Bijection[Buf, T] { + override def apply(b: Buf): T = { + val byteArray = Buf.ByteArray.Owned.extract(b) + val byteBuffer = ByteBuffer.wrap(byteArray) + constructor(byteBuffer.getInt()) + } + + override def invert(a: T): Buf = { + val byteBuffer: ByteBuffer = ByteBuffer.allocate(4) + byteBuffer.putInt(a.getValue) + Buf.ByteArray.Owned(byteBuffer.array()) + } +} + +class ThriftEnumOptionBijection[T <: ThriftEnum](constructor: Int => T) extends Bijection[Buf, Option[T]] { + override def apply(b: Buf): Option[T] = { + if (b.isEmpty) { + None + } else { + val byteArray = Buf.ByteArray.Owned.extract(b) + val byteBuffer = ByteBuffer.wrap(byteArray) + Some(constructor(byteBuffer.getInt())) + } + } + + override def invert(a: Option[T]): Buf = { + a match { + case Some(obj) => { + val byteBuffer: ByteBuffer = ByteBuffer.allocate(4) + byteBuffer.putInt(obj.getValue) + Buf.ByteArray.Owned(byteBuffer.array()) + } + case None => Buf.Empty + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common/BUILD new file mode 100644 index 000000000..330981d80 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common/BUILD @@ -0,0 +1,11 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common/BaseClientModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common/BaseClientModule.scala new file mode 100644 index 000000000..43949ea19 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common/BaseClientModule.scala @@ -0,0 +1,20 @@ +package com.twitter.follow_recommendations.common.clients.common + +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.thrift.Protocols +import com.twitter.follow_recommendations.common.constants.ServiceConstants._ +import com.twitter.inject.thrift.modules.ThriftClientModule +import scala.reflect.ClassTag + +/** + * basic client configurations that we apply for all of our clients go in here + */ +abstract class BaseClientModule[T: ClassTag] extends ThriftClientModule[T] { + def configureThriftMuxClient(client: ThriftMux.Client): ThriftMux.Client = { + client + .withProtocolFactory( + Protocols.binaryFactory( + stringLengthLimit = StringLengthLimit, + containerLengthLimit = ContainerLengthLimit)) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2/BUILD new file mode 100644 index 000000000..daf4c63fa --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2/BUILD @@ -0,0 +1,20 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "cortex-deepbird/prediction/src/main/scala/com/twitter/cortex/deepbird/prediction", + "cortex-deepbird/thrift/src/main/thrift:thrift-java", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-thrift-client/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "src/scala/com/twitter/ml/api/util", + "util/util-core:scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2/DeepBirdV2PredictionServiceClientModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2/DeepBirdV2PredictionServiceClientModule.scala new file mode 100644 index 000000000..8f707910b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2/DeepBirdV2PredictionServiceClientModule.scala @@ -0,0 +1,67 @@ +package com.twitter.follow_recommendations.common.clients.deepbirdv2 + +import com.google.inject.Provides +import com.google.inject.name.Named +import com.twitter.bijection.scrooge.TBinaryProtocol +import com.twitter.conversions.DurationOps._ +import com.twitter.cortex.deepbird.thriftjava.DeepbirdPredictionService +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.builder.ClientBuilder +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient._ +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.thrift.ClientId +import com.twitter.finagle.thrift.RichClientParam +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.inject.TwitterModule + +/** + * Module that provides multiple deepbirdv2 prediction service clients + * We use the java api since data records are native java objects and we want to reduce overhead + * while serializing/deserializing data. + */ +object DeepBirdV2PredictionServiceClientModule extends TwitterModule { + + val RequestTimeout = 300.millis + + private def getDeepbirdPredictionServiceClient( + clientId: ClientId, + label: String, + dest: String, + statsReceiver: StatsReceiver, + serviceIdentifier: ServiceIdentifier + ): DeepbirdPredictionService.ServiceToClient = { + val clientStatsReceiver = statsReceiver.scope("clnt") + val mTlsClient = ThriftMux.client.withClientId(clientId).withMutualTls(serviceIdentifier) + new DeepbirdPredictionService.ServiceToClient( + ClientBuilder() + .name(label) + .stack(mTlsClient) + .dest(dest) + .requestTimeout(RequestTimeout) + .reportHostStats(NullStatsReceiver) + .build(), + RichClientParam( + new TBinaryProtocol.Factory(), + clientStats = clientStatsReceiver + ) + ) + } + + @Provides + @Named(GuiceNamedConstants.WTF_PROD_DEEPBIRDV2_CLIENT) + def providesWtfProdDeepbirdV2PredictionService( + clientId: ClientId, + statsReceiver: StatsReceiver, + serviceIdentifier: ServiceIdentifier + ): DeepbirdPredictionService.ServiceToClient = { + getDeepbirdPredictionServiceClient( + clientId = clientId, + label = "WtfProdDeepbirdV2PredictionService", + dest = "/s/cassowary/deepbirdv2-hermit-wtf", + statsReceiver = statsReceiver, + serviceIdentifier = serviceIdentifier + ) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store/BUILD new file mode 100644 index 000000000..33d8ba841 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store/BUILD @@ -0,0 +1,19 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/github/nscala_time", + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "src/thrift/com/twitter/onboarding/relevance/store:store-scala", + "util/util-core:scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store/DismissStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store/DismissStore.scala new file mode 100644 index 000000000..1c8c9f8fd --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store/DismissStore.scala @@ -0,0 +1,60 @@ +package com.twitter.follow_recommendations.common.clients.dismiss_store + +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.onboarding.relevance.store.thriftscala.WhoToFollowDismissEventDetails +import com.twitter.stitch.Stitch +import com.twitter.strato.catalog.Scan.Slice +import com.twitter.strato.client.Scanner +import com.twitter.util.logging.Logging +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/** + * this store gets the list of dismissed candidates since a certain time + * primarily used for filtering out accounts that a user has explicitly dismissed + * + * we fail open on timeouts, but loudly on other errors + */ +@Singleton +class DismissStore @Inject() ( + @Named(GuiceNamedConstants.DISMISS_STORE_SCANNER) + scanner: Scanner[(Long, Slice[ + (Long, Long) + ]), Unit, (Long, (Long, Long)), WhoToFollowDismissEventDetails], + stats: StatsReceiver) + extends Logging { + + private val MaxCandidatesToReturn = 100 + + // gets a list of dismissed candidates. if numCandidatesToFetchOption is none, we will fetch the default number of candidates + def get( + userId: Long, + negStartTimeMs: Long, + maxCandidatesToFetchOption: Option[Int] + ): Stitch[Seq[Long]] = { + + val maxCandidatesToFetch = maxCandidatesToFetchOption.getOrElse(MaxCandidatesToReturn) + + scanner + .scan( + ( + userId, + Slice( + from = None, + to = Some((negStartTimeMs, Long.MaxValue)), + limit = Some(maxCandidatesToFetch) + ) + ) + ) + .map { + case s: Seq[((Long, (Long, Long)), WhoToFollowDismissEventDetails)] if s.nonEmpty => + s.map { + case ((_: Long, (_: Long, candidateId: Long)), _: WhoToFollowDismissEventDetails) => + candidateId + } + case _ => Nil + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/BUILD new file mode 100644 index 000000000..78a06d536 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/BUILD @@ -0,0 +1,14 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "emailstorage/server/src/main/thrift/com/twitter/emailstorage/api:email-storage-service-scala", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "stitch/stitch-core", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/EmailStorageServiceClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/EmailStorageServiceClient.scala new file mode 100644 index 000000000..4cf66c658 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/EmailStorageServiceClient.scala @@ -0,0 +1,28 @@ +package com.twitter.follow_recommendations.common.clients.email_storage_service + +import com.twitter.cds.contact_consent_state.thriftscala.PurposeOfProcessing +import com.twitter.emailstorage.api.thriftscala.EmailStorageService +import com.twitter.emailstorage.api.thriftscala.GetUsersEmailsRequest +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class EmailStorageServiceClient @Inject() ( + val emailStorageService: EmailStorageService.MethodPerEndpoint) { + + def getVerifiedEmail( + userId: Long, + purposeOfProcessing: PurposeOfProcessing + ): Stitch[Option[String]] = { + val req = GetUsersEmailsRequest( + userIds = Seq(userId), + clientIdentifier = Some("follow-recommendations-service"), + purposesOfProcessing = Some(Seq(purposeOfProcessing)) + ) + + Stitch.callFuture(emailStorageService.getUsersEmails(req)) map { + _.usersEmails.map(_.confirmedEmail.map(_.email)).head + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/EmailStorageServiceModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/EmailStorageServiceModule.scala new file mode 100644 index 000000000..0a1be9d1b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service/EmailStorageServiceModule.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.clients.email_storage_service + +import com.twitter.emailstorage.api.thriftscala.EmailStorageService +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.common.clients.common.BaseClientModule + +object EmailStorageServiceModule + extends BaseClientModule[EmailStorageService.MethodPerEndpoint] + with MtlsClient { + override val label = "email-storage-service" + override val dest = "/s/email-server/email-server" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/BUILD new file mode 100644 index 000000000..d67fa01d8 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/BUILD @@ -0,0 +1,22 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/github/nscala_time", + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-thrift-client/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "src/thrift/com/twitter/geoduck:geoduck-scala", + "src/thrift/com/twitter/geoduck:geoduckpartnerplaces-thrift-scala", + "stitch/stitch-core", + "util/util-core:scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/LocationServiceClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/LocationServiceClient.scala new file mode 100644 index 000000000..69207537c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/LocationServiceClient.scala @@ -0,0 +1,62 @@ +package com.twitter.follow_recommendations.common.clients.geoduck + +import com.twitter.follow_recommendations.common.models.GeohashAndCountryCode +import com.twitter.geoduck.common.thriftscala.LocationSource +import com.twitter.geoduck.common.thriftscala.PlaceQuery +import com.twitter.geoduck.common.thriftscala.TransactionLocation +import com.twitter.geoduck.common.thriftscala.UserLocationRequest +import com.twitter.geoduck.thriftscala.LocationService +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class LocationServiceClient @Inject() (locationService: LocationService.MethodPerEndpoint) { + def getGeohashAndCountryCode(userId: Long): Stitch[GeohashAndCountryCode] = { + Stitch + .callFuture { + locationService + .userLocation( + UserLocationRequest( + Seq(userId), + Some(PlaceQuery(allPlaceTypes = Some(true))), + simpleReverseGeocode = true)) + .map(_.found.get(userId)).map { transactionLocationOpt => + val geohashOpt = transactionLocationOpt.flatMap(getGeohashFromTransactionLocation) + val countryCodeOpt = + transactionLocationOpt.flatMap(_.simpleRgcResult.flatMap(_.countryCodeAlpha2)) + GeohashAndCountryCode(geohashOpt, countryCodeOpt) + } + } + } + + private[this] def getGeohashFromTransactionLocation( + transactionLocation: TransactionLocation + ): Option[String] = { + transactionLocation.geohash.flatMap { geohash => + val geohashPrefixLength = transactionLocation.locationSource match { + // if location source is logical, keep the first 4 chars in geohash + case Some(LocationSource.Logical) => Some(4) + // if location source is physical, keep the prefix according to accuracy + // accuracy is the accuracy of GPS readings in the unit of meter + case Some(LocationSource.Physical) => + transactionLocation.coordinate.flatMap { coordinate => + coordinate.accuracy match { + case Some(accuracy) if (accuracy < 50) => Some(7) + case Some(accuracy) if (accuracy < 200) => Some(6) + case Some(accuracy) if (accuracy < 1000) => Some(5) + case Some(accuracy) if (accuracy < 50000) => Some(4) + case Some(accuracy) if (accuracy < 100000) => Some(3) + case _ => None + } + } + case Some(LocationSource.Model) => Some(4) + case _ => None + } + geohashPrefixLength match { + case Some(l: Int) => geohash.stringGeohash.map(_.take(l)) + case _ => None + } + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/LocationServiceModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/LocationServiceModule.scala new file mode 100644 index 000000000..a5fc79a80 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/LocationServiceModule.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.clients.geoduck + +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.common.clients.common.BaseClientModule +import com.twitter.geoduck.thriftscala.LocationService + +object LocationServiceModule + extends BaseClientModule[LocationService.MethodPerEndpoint] + with MtlsClient { + override val label = "geoduck_locationservice" + override val dest = "/s/geo/geoduck_locationservice" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/ReverseGeocodeClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/ReverseGeocodeClient.scala new file mode 100644 index 000000000..576359128 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/ReverseGeocodeClient.scala @@ -0,0 +1,57 @@ +package com.twitter.follow_recommendations.common.clients.geoduck + +import com.twitter.follow_recommendations.common.models.GeohashAndCountryCode +import com.twitter.geoduck.common.thriftscala.Location +import com.twitter.geoduck.common.thriftscala.PlaceQuery +import com.twitter.geoduck.common.thriftscala.ReverseGeocodeIPRequest +import com.twitter.geoduck.service.thriftscala.GeoContext +import com.twitter.geoduck.thriftscala.ReverseGeocoder +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ReverseGeocodeClient @Inject() (rgcService: ReverseGeocoder.MethodPerEndpoint) { + def getGeohashAndCountryCode(ipAddress: String): Stitch[GeohashAndCountryCode] = { + Stitch + .callFuture { + rgcService + .reverseGeocodeIp( + ReverseGeocodeIPRequest( + Seq(ipAddress), + PlaceQuery(None), + simpleReverseGeocode = true + ) // note: simpleReverseGeocode means that country code will be included in response + ).map { response => + response.found.get(ipAddress) match { + case Some(location) => getGeohashAndCountryCodeFromLocation(location) + case _ => GeohashAndCountryCode(None, None) + } + } + } + } + + private def getGeohashAndCountryCodeFromLocation(location: Location): GeohashAndCountryCode = { + val countryCode: Option[String] = location.simpleRgcResult.flatMap { _.countryCodeAlpha2 } + + val geohashString: Option[String] = location.geohash.flatMap { hash => + hash.stringGeohash.flatMap { hashString => + Some(ReverseGeocodeClient.truncate(hashString)) + } + } + + GeohashAndCountryCode(geohashString, countryCode) + } + +} + +object ReverseGeocodeClient { + + val DefaultGeoduckIPRequestContext: GeoContext = + GeoContext(allPlaceTypes = true, includeGeohash = true, includeCountryCode = true) + + // All these geohashes are guessed by IP (Logical Location Source). + // So take the four letters to make sure it is consistent with LocationServiceClient + val GeohashLengthAfterTruncation = 4 + def truncate(geohash: String): String = geohash.take(GeohashLengthAfterTruncation) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/UserLocationFetcher.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/UserLocationFetcher.scala new file mode 100644 index 000000000..706ae5143 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck/UserLocationFetcher.scala @@ -0,0 +1,59 @@ +package com.twitter.follow_recommendations.common.clients.geoduck + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.GeohashAndCountryCode +import com.twitter.stitch.Stitch + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class UserLocationFetcher @Inject() ( + locationServiceClient: LocationServiceClient, + reverseGeocodeClient: ReverseGeocodeClient, + statsReceiver: StatsReceiver) { + + private val stats: StatsReceiver = statsReceiver.scope("user_location_fetcher") + private val totalRequestsCounter = stats.counter("requests") + private val emptyResponsesCounter = stats.counter("empty") + private val locationServiceExceptionCounter = stats.counter("location_service_exception") + private val reverseGeocodeExceptionCounter = stats.counter("reverse_geocode_exception") + + def getGeohashAndCountryCode( + userId: Option[Long], + ipAddress: Option[String] + ): Stitch[Option[GeohashAndCountryCode]] = { + totalRequestsCounter.incr() + val lscLocationStitch = Stitch + .collect { + userId.map(locationServiceClient.getGeohashAndCountryCode) + }.rescue { + case _: Exception => + locationServiceExceptionCounter.incr() + Stitch.None + } + + val ipLocationStitch = Stitch + .collect { + ipAddress.map(reverseGeocodeClient.getGeohashAndCountryCode) + }.rescue { + case _: Exception => + reverseGeocodeExceptionCounter.incr() + Stitch.None + } + + Stitch.join(lscLocationStitch, ipLocationStitch).map { + case (lscLocation, ipLocation) => { + val geohash = lscLocation.flatMap(_.geohash).orElse(ipLocation.flatMap(_.geohash)) + val countryCode = + lscLocation.flatMap(_.countryCode).orElse(ipLocation.flatMap(_.countryCode)) + (geohash, countryCode) match { + case (None, None) => + emptyResponsesCounter.incr() + None + case _ => Some(GeohashAndCountryCode(geohash, countryCode)) + } + } + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/BUILD new file mode 100644 index 000000000..77cb553c0 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/BUILD @@ -0,0 +1,21 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/github/nscala_time", + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-thrift-client/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "src/thrift/com/twitter/gizmoduck:thrift-scala", + "stitch/stitch-gizmoduck", + "util/util-core:scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/GizmoduckClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/GizmoduckClient.scala new file mode 100644 index 000000000..25b5f0d75 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/GizmoduckClient.scala @@ -0,0 +1,81 @@ +package com.twitter.follow_recommendations.common.clients.gizmoduck + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.gizmoduck.thriftscala.LookupContext +import com.twitter.gizmoduck.thriftscala.PerspectiveEdge +import com.twitter.gizmoduck.thriftscala.QueryFields +import com.twitter.stitch.Stitch +import com.twitter.stitch.gizmoduck.Gizmoduck +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class GizmoduckClient @Inject() (gizmoduckStitchClient: Gizmoduck, statsReceiver: StatsReceiver) { + val stats = statsReceiver.scope("gizmoduck_client") + val getByIdStats = stats.scope("get_by_id") + val getUserById = stats.scope("get_user_by_id") + + def isProtected(userId: Long): Stitch[Boolean] = { + // get latency metrics with StatsUtil.profileStitch when calling .getById + val response = StatsUtil.profileStitch( + gizmoduckStitchClient.getById(userId, Set(QueryFields.Safety)), + getByIdStats + ) + response.map { result => + result.user.flatMap(_.safety).map(_.isProtected).getOrElse(true) + } + } + + def getUserName(userId: Long, forUserId: Long): Stitch[Option[String]] = { + val queryFields = GizmoduckClient.GetUserByIdUserNameQueryFields + val lookupContext = LookupContext( + forUserId = Some(forUserId), + perspectiveEdges = Some(GizmoduckClient.DefaultPerspectiveEdges) + ) + // get latency metrics with StatsUtil.profileStitch when calling .getUserById + val response = StatsUtil.profileStitch( + gizmoduckStitchClient.getUserById(userId, queryFields, lookupContext), + getUserById + ) + response.map(_.profile.map(_.name)) + } +} + +object GizmoduckClient { + // Similar to GizmoduckUserRepository.DefaultPerspectiveEdges + val DefaultPerspectiveEdges: Set[PerspectiveEdge] = + Set( + PerspectiveEdge.Blocking, + PerspectiveEdge.BlockedBy, + PerspectiveEdge.DeviceFollowing, + PerspectiveEdge.FollowRequestSent, + PerspectiveEdge.Following, + PerspectiveEdge.FollowedBy, + PerspectiveEdge.LifelineFollowing, + PerspectiveEdge.LifelineFollowedBy, + PerspectiveEdge.Muting, + PerspectiveEdge.NoRetweetsFrom + ) + + // From GizmoduckUserRepository.DefaultQueryFields + val GetUserByIdQueryFields: Set[QueryFields] = Set( + QueryFields.Account, + QueryFields.Counts, + QueryFields.ExtendedProfile, + QueryFields.Perspective, + QueryFields.Profile, + QueryFields.ProfileDesign, + QueryFields.ProfileLocation, + QueryFields.Safety, + QueryFields.Roles, + QueryFields.Takedowns, + QueryFields.UrlEntities, + QueryFields.DirectMessageView, + QueryFields.MediaView + ) + + val GetUserByIdUserNameQueryFields: Set[QueryFields] = Set( + QueryFields.Profile + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/GizmoduckModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/GizmoduckModule.scala new file mode 100644 index 000000000..9a5efea06 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck/GizmoduckModule.scala @@ -0,0 +1,24 @@ +package com.twitter.follow_recommendations.common.clients.gizmoduck + +import com.google.inject.Provides +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.common.clients.common.BaseClientModule +import com.twitter.gizmoduck.thriftscala.QueryFields +import com.twitter.gizmoduck.thriftscala.UserService +import com.twitter.stitch.gizmoduck.Gizmoduck +import javax.inject.Singleton + +object GizmoduckModule extends BaseClientModule[UserService.MethodPerEndpoint] with MtlsClient { + override val label = "gizmoduck" + override val dest = "/s/gizmoduck/gizmoduck" + + @Provides + @Singleton + def provideExtraGizmoduckQueryFields: Set[QueryFields] = Set.empty + + @Provides + @Singleton + def providesStitchClient(futureIface: UserService.MethodPerEndpoint): Gizmoduck = { + Gizmoduck(futureIface) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/BUILD new file mode 100644 index 000000000..ec1139cfe --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/BUILD @@ -0,0 +1,14 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "graph-feature-service/src/main/thrift/com/twitter/graph_feature_service:graph_feature_service_thrift-scala", + "stitch/stitch-core", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/GraphFeatureServiceClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/GraphFeatureServiceClient.scala new file mode 100644 index 000000000..f333d895f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/GraphFeatureServiceClient.scala @@ -0,0 +1,50 @@ +package com.twitter.follow_recommendations.common.clients.graph_feature_service + +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.graph_feature_service.thriftscala.PresetFeatureTypes.WtfTwoHop +import com.twitter.graph_feature_service.thriftscala.EdgeType +import com.twitter.graph_feature_service.thriftscala.GfsIntersectionResponse +import com.twitter.graph_feature_service.thriftscala.GfsPresetIntersectionRequest +import com.twitter.graph_feature_service.thriftscala.{Server => GraphFeatureService} +import com.twitter.stitch.Stitch +import javax.inject.{Inject, Singleton} + +@Singleton +class GraphFeatureServiceClient @Inject() ( + graphFeatureService: GraphFeatureService.MethodPerEndpoint) { + + import GraphFeatureServiceClient._ + def getIntersections( + userId: Long, + candidateIds: Seq[Long], + numIntersectionIds: Int + ): Stitch[Map[Long, FollowProof]] = { + Stitch + .callFuture( + graphFeatureService.getPresetIntersection( + GfsPresetIntersectionRequest(userId, candidateIds, WtfTwoHop, Some(numIntersectionIds)) + ) + ).map { + case GfsIntersectionResponse(gfsIntersectionResults) => + (for { + candidateId <- candidateIds + gfsIntersectionResultForCandidate = + gfsIntersectionResults.filter(_.candidateUserId == candidateId) + followProof <- for { + result <- gfsIntersectionResultForCandidate + intersection <- result.intersectionValues + if leftEdgeTypes.contains(intersection.featureType.leftEdgeType) + if rightEdgeTypes.contains(intersection.featureType.rightEdgeType) + intersectionIds <- intersection.intersectionIds.toSeq + } yield FollowProof(intersectionIds, intersection.count.getOrElse(0)) + } yield { + candidateId -> followProof + }).toMap + } + } +} + +object GraphFeatureServiceClient { + val leftEdgeTypes: Set[EdgeType] = Set(EdgeType.Following) + val rightEdgeTypes: Set[EdgeType] = Set(EdgeType.FollowedBy) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/GraphFeatureStoreModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/GraphFeatureStoreModule.scala new file mode 100644 index 000000000..8d15358cd --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service/GraphFeatureStoreModule.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.clients.graph_feature_service + +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.common.clients.common.BaseClientModule +import com.twitter.graph_feature_service.thriftscala.{Server => GraphFeatureService} + +object GraphFeatureStoreModule + extends BaseClientModule[GraphFeatureService.MethodPerEndpoint] + with MtlsClient { + override val label = "graph_feature_service" + override val dest = "/s/cassowary/graph_feature_service-server" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/BUILD new file mode 100644 index 000000000..7432ce040 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/BUILD @@ -0,0 +1,18 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/github/nscala_time", + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "stitch/stitch-socialgraph", + "util/util-core:scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/ImpressionStoreModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/ImpressionStoreModule.scala new file mode 100644 index 000000000..35b5d7885 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/ImpressionStoreModule.scala @@ -0,0 +1,31 @@ +package com.twitter.follow_recommendations.common.clients.impression_store + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.follow_recommendations.thriftscala.DisplayLocation +import com.twitter.inject.TwitterModule +import com.twitter.strato.catalog.Scan.Slice +import com.twitter.strato.client.Client +import com.twitter.strato.thrift.ScroogeConvImplicits._ + +object ImpressionStoreModule extends TwitterModule { + + val columnPath: String = "onboarding/userrecs/wtfImpressionCountsStore" + + type PKey = (Long, DisplayLocation) + type LKey = Long + type Value = (Long, Int) + + @Provides + @Singleton + def providesImpressionStore(stratoClient: Client): WtfImpressionStore = { + new WtfImpressionStore( + stratoClient.scanner[ + (PKey, Slice[LKey]), + Unit, + (PKey, LKey), + Value + ](columnPath) + ) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/WtfImpressionStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/WtfImpressionStore.scala new file mode 100644 index 000000000..68692dc28 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store/WtfImpressionStore.scala @@ -0,0 +1,42 @@ +package com.twitter.follow_recommendations.common.clients.impression_store + +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.WtfImpression +import com.twitter.follow_recommendations.thriftscala.{DisplayLocation => TDisplayLocation} +import com.twitter.stitch.Stitch +import com.twitter.strato.catalog.Scan.Slice +import com.twitter.strato.client.Scanner +import com.twitter.util.Time +import com.twitter.util.logging.Logging +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class WtfImpressionStore @Inject() ( + scanner: Scanner[ + ((Long, TDisplayLocation), Slice[Long]), + Unit, + ((Long, TDisplayLocation), Long), + (Long, Int) + ]) extends Logging { + def get(userId: Long, dl: DisplayLocation): Stitch[Seq[WtfImpression]] = { + val thriftDl = dl.toThrift + scanner.scan(((userId, thriftDl), Slice.all[Long])).map { impressionsPerDl => + val wtfImpressions = + for { + (((_, _), candidateId), (latestTs, counts)) <- impressionsPerDl + } yield WtfImpression( + candidateId = candidateId, + displayLocation = dl, + latestTime = Time.fromMilliseconds(latestTs), + counts = counts + ) + wtfImpressions + } rescue { + // fail open so that the request can still go through + case ex: Throwable => + logger.warn(s"$dl WtfImpressionsStore warn: " + ex.getMessage) + Stitch.Nil + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service/BUILD new file mode 100644 index 000000000..0835d840b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service/BUILD @@ -0,0 +1,14 @@ +scala_library( + name = "interests_service", + sources = ["InterestServiceClient.scala"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/store/interests", + "interests-service/thrift/src/main/thrift:thrift-scala", + "strato/src/main/scala/com/twitter/strato/catalog", + "strato/src/main/scala/com/twitter/strato/client", + "strato/src/main/scala/com/twitter/strato/data", + "strato/src/main/scala/com/twitter/strato/thrift", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service/InterestServiceClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service/InterestServiceClient.scala new file mode 100644 index 000000000..3904cf515 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service/InterestServiceClient.scala @@ -0,0 +1,115 @@ +package com.twitter.follow_recommendations.common.clients.interests_service + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.store.InterestedInInterestsFetchKey +import com.twitter.inject.Logging +import com.twitter.interests.thriftscala.InterestId +import com.twitter.interests.thriftscala.InterestRelationship +import com.twitter.interests.thriftscala.InterestedInInterestModel +import com.twitter.interests.thriftscala.UserInterest +import com.twitter.interests.thriftscala.UserInterestData +import com.twitter.interests.thriftscala.UserInterestsResponse +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Client +import com.twitter.strato.thrift.ScroogeConvImplicits._ + +@Singleton +class InterestServiceClient @Inject() ( + stratoClient: Client, + statsReceiver: StatsReceiver = NullStatsReceiver) + extends Logging { + + val interestsServiceStratoColumnPath = "interests/interestedInInterests" + val stats = statsReceiver.scope("interest_service_client") + val errorCounter = stats.counter("error") + + private val interestsFetcher = + stratoClient.fetcher[InterestedInInterestsFetchKey, UserInterestsResponse]( + interestsServiceStratoColumnPath, + checkTypes = true + ) + + def fetchUttInterestIds( + userId: Long + ): Stitch[Seq[Long]] = { + fetchInterestRelationships(userId) + .map(_.toSeq.flatten.flatMap(extractUttInterest)) + } + + def extractUttInterest( + interestRelationShip: InterestRelationship + ): Option[Long] = { + interestRelationShip match { + case InterestRelationship.V1(relationshipV1) => + relationshipV1.interestId match { + case InterestId.SemanticCore(semanticCoreInterest) => Some(semanticCoreInterest.id) + case _ => None + } + case _ => None + } + } + + def fetchCustomInterests( + userId: Long + ): Stitch[Seq[String]] = { + fetchInterestRelationships(userId) + .map(_.toSeq.flatten.flatMap(extractCustomInterest)) + } + + def extractCustomInterest( + interestRelationShip: InterestRelationship + ): Option[String] = { + interestRelationShip match { + case InterestRelationship.V1(relationshipV1) => + relationshipV1.interestId match { + case InterestId.FreeForm(freeFormInterest) => Some(freeFormInterest.interest) + case _ => None + } + case _ => None + } + } + + def fetchInterestRelationships( + userId: Long + ): Stitch[Option[Seq[InterestRelationship]]] = { + interestsFetcher + .fetch( + InterestedInInterestsFetchKey( + userId = userId, + labels = None, + None + )) + .map(_.v) + .map { + case Some(response) => + response.interests.interests.map { interests => + interests.collect { + case UserInterest(_, Some(interestData)) => + getInterestRelationship(interestData) + }.flatten + } + case _ => None + } + .rescue { + case e: Throwable => // we are swallowing all errors + logger.warn(s"interests could not be retrieved for user $userId due to ${e.getCause}") + errorCounter.incr + Stitch.None + } + } + + private def getInterestRelationship( + interestData: UserInterestData + ): Seq[InterestRelationship] = { + interestData match { + case UserInterestData.InterestedIn(interestModels) => + interestModels.collect { + case InterestedInInterestModel.ExplicitModel(model) => model + } + case _ => Nil + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/BUILD new file mode 100644 index 000000000..37a7f5906 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/BUILD @@ -0,0 +1,14 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "phonestorage/server/src/main/thrift/com/twitter/phonestorage/api:phone-storage-service-scala", + "stitch/stitch-core", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/PhoneStorageServiceClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/PhoneStorageServiceClient.scala new file mode 100644 index 000000000..46e76b162 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/PhoneStorageServiceClient.scala @@ -0,0 +1,34 @@ +package com.twitter.follow_recommendations.common.clients.phone_storage_service + +import com.twitter.cds.contact_consent_state.thriftscala.PurposeOfProcessing +import com.twitter.phonestorage.api.thriftscala.GetUserPhonesByUsersRequest +import com.twitter.phonestorage.api.thriftscala.PhoneStorageService +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PhoneStorageServiceClient @Inject() ( + val phoneStorageService: PhoneStorageService.MethodPerEndpoint) { + + /** + * PSS can potentially return multiple phone records. + * The current implementation of getUserPhonesByUsers returns only a single phone for a single user_id but + * we can trivially support handling multiple in case that changes in the future. + */ + def getPhoneNumbers( + userId: Long, + purposeOfProcessing: PurposeOfProcessing, + forceCarrierLookup: Option[Boolean] = None + ): Stitch[Seq[String]] = { + val req = GetUserPhonesByUsersRequest( + userIds = Seq(userId), + forceCarrierLookup = forceCarrierLookup, + purposesOfProcessing = Some(Seq(purposeOfProcessing)) + ) + + Stitch.callFuture(phoneStorageService.getUserPhonesByUsers(req)) map { + _.userPhones.map(_.phoneNumber) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/PhoneStorageServiceModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/PhoneStorageServiceModule.scala new file mode 100644 index 000000000..90767a509 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service/PhoneStorageServiceModule.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.clients.phone_storage_service + +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.common.clients.common.BaseClientModule +import com.twitter.phonestorage.api.thriftscala.PhoneStorageService + +object PhoneStorageServiceModule + extends BaseClientModule[PhoneStorageService.MethodPerEndpoint] + with MtlsClient { + override val label = "phone-storage-service" + override val dest = "/s/ibis-ds-api/ibis-ds-api:thrift2" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/BUILD new file mode 100644 index 000000000..f711bc3e7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/BUILD @@ -0,0 +1,20 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "strato/config/columns/ml/featureStore:featureStore-strato-client", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/Engagement.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/Engagement.scala new file mode 100644 index 000000000..98c0555e7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/Engagement.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.common.clients.real_time_real_graph + +sealed trait EngagementType + +// We do not include SoftFollow since it's deprecated +object EngagementType { + object Click extends EngagementType + object Like extends EngagementType + object Mention extends EngagementType + object Retweet extends EngagementType + object ProfileView extends EngagementType +} + +case class Engagement(engagementType: EngagementType, timestamp: Long) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/EngagementScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/EngagementScorer.scala new file mode 100644 index 000000000..c41fcc98e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/EngagementScorer.scala @@ -0,0 +1,58 @@ +package com.twitter.follow_recommendations.common.clients.real_time_real_graph + +import com.twitter.conversions.DurationOps._ +import com.twitter.util.Time + +object EngagementScorer { + private[real_time_real_graph] val MemoryDecayHalfLife = 24.hour + private val ScoringFunctionBase = 0.5 + + def apply( + engagements: Map[Long, Seq[Engagement]], + engagementScoreMap: Map[EngagementType, Double], + minScore: Double = 0.0 + ): Seq[(Long, Double, Seq[EngagementType])] = { + val now = Time.now + engagements + .mapValues { engags => + val totalScore = engags.map { engagement => score(engagement, now, engagementScoreMap) }.sum + val engagementProof = getEngagementProof(engags, engagementScoreMap) + (totalScore, engagementProof) + } + .collect { case (uid, (score, proof)) if score > minScore => (uid, score, proof) } + .toSeq + .sortBy(-_._2) + } + + /** + * The engagement score is the base score decayed via timestamp, loosely model the human memory forgetting + * curve, see https://en.wikipedia.org/wiki/Forgetting_curve + */ + private[real_time_real_graph] def score( + engagement: Engagement, + now: Time, + engagementScoreMap: Map[EngagementType, Double] + ): Double = { + val timeLapse = math.max(now.inMillis - engagement.timestamp, 0) + val engagementScore = engagementScoreMap.getOrElse(engagement.engagementType, 0.0) + engagementScore * math.pow( + ScoringFunctionBase, + timeLapse.toDouble / MemoryDecayHalfLife.inMillis) + } + + private def getEngagementProof( + engagements: Seq[Engagement], + engagementScoreMap: Map[EngagementType, Double] + ): Seq[EngagementType] = { + + val filteredEngagement = engagements + .collectFirst { + case engagement + if engagement.engagementType != EngagementType.Click + && engagementScoreMap.get(engagement.engagementType).exists(_ > 0.0) => + engagement.engagementType + } + + Seq(filteredEngagement.getOrElse(EngagementType.Click)) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/RealTimeRealGraphClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/RealTimeRealGraphClient.scala new file mode 100644 index 000000000..16fedc8a0 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/real_time_real_graph/RealTimeRealGraphClient.scala @@ -0,0 +1,128 @@ +package com.twitter.follow_recommendations.common.clients.real_time_real_graph + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.conversions.DurationOps._ +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.ml.featureStore.TimelinesUserVertexOnUserClientColumn +import com.twitter.strato.generated.client.onboarding.userrecs.RealGraphScoresMhOnUserClientColumn +import com.twitter.util.Duration +import com.twitter.util.Time +import com.twitter.wtf.real_time_interaction_graph.thriftscala._ + +@Singleton +class RealTimeRealGraphClient @Inject() ( + timelinesUserVertexOnUserClientColumn: TimelinesUserVertexOnUserClientColumn, + realGraphScoresMhOnUserClientColumn: RealGraphScoresMhOnUserClientColumn) { + + def mapUserVertexToEngagementAndFilter(userVertex: UserVertex): Map[Long, Seq[Engagement]] = { + val minTimestamp = (Time.now - RealTimeRealGraphClient.MaxEngagementAge).inMillis + userVertex.outgoingInteractionMap.mapValues { interactions => + interactions + .flatMap { interaction => RealTimeRealGraphClient.toEngagement(interaction) }.filter( + _.timestamp >= minTimestamp) + }.toMap + } + + def getRecentProfileViewEngagements(userId: Long): Stitch[Map[Long, Seq[Engagement]]] = { + timelinesUserVertexOnUserClientColumn.fetcher + .fetch(userId).map(_.v).map { input => + input + .map { userVertex => + val targetToEngagements = mapUserVertexToEngagementAndFilter(userVertex) + targetToEngagements.mapValues { engagements => + engagements.filter(engagement => + engagement.engagementType == EngagementType.ProfileView) + } + }.getOrElse(Map.empty) + } + } + + def getUsersRecentlyEngagedWith( + userId: Long, + engagementScoreMap: Map[EngagementType, Double], + includeDirectFollowCandidates: Boolean, + includeNonDirectFollowCandidates: Boolean + ): Stitch[Seq[CandidateUser]] = { + val isNewUser = + SnowflakeId.timeFromIdOpt(userId).exists { signupTime => + (Time.now - signupTime) < RealTimeRealGraphClient.MaxNewUserAge + } + val updatedEngagementScoreMap = + if (isNewUser) + engagementScoreMap + (EngagementType.ProfileView -> RealTimeRealGraphClient.ProfileViewScore) + else engagementScoreMap + + Stitch + .join( + timelinesUserVertexOnUserClientColumn.fetcher.fetch(userId).map(_.v), + realGraphScoresMhOnUserClientColumn.fetcher.fetch(userId).map(_.v)).map { + case (Some(userVertex), Some(neighbors)) => + val engagements = mapUserVertexToEngagementAndFilter(userVertex) + + val candidatesAndScores: Seq[(Long, Double, Seq[EngagementType])] = + EngagementScorer.apply(engagements, engagementScoreMap = updatedEngagementScoreMap) + + val directNeighbors = neighbors.candidates.map(_._1).toSet + val (directFollows, nonDirectFollows) = candidatesAndScores + .partition { + case (id, _, _) => directNeighbors.contains(id) + } + + val candidates = + (if (includeNonDirectFollowCandidates) nonDirectFollows else Seq.empty) ++ + (if (includeDirectFollowCandidates) + directFollows.take(RealTimeRealGraphClient.MaxNumDirectFollow) + else Seq.empty) + + candidates.map { + case (id, score, proof) => + CandidateUser(id, Some(score)) + } + + case _ => Nil + } + } + + def getRealGraphWeights(userId: Long): Stitch[Map[Long, Double]] = + realGraphScoresMhOnUserClientColumn.fetcher + .fetch(userId) + .map( + _.v + .map(_.candidates.map(candidate => (candidate.userId, candidate.score)).toMap) + .getOrElse(Map.empty[Long, Double])) +} + +object RealTimeRealGraphClient { + private def toEngagement(interaction: Interaction): Option[Engagement] = { + // We do not include SoftFollow since it's deprecated + interaction match { + case Interaction.Retweet(Retweet(timestamp)) => + Some(Engagement(EngagementType.Retweet, timestamp)) + case Interaction.Favorite(Favorite(timestamp)) => + Some(Engagement(EngagementType.Like, timestamp)) + case Interaction.Click(Click(timestamp)) => Some(Engagement(EngagementType.Click, timestamp)) + case Interaction.Mention(Mention(timestamp)) => + Some(Engagement(EngagementType.Mention, timestamp)) + case Interaction.ProfileView(ProfileView(timestamp)) => + Some(Engagement(EngagementType.ProfileView, timestamp)) + case _ => None + } + } + + val MaxNumDirectFollow = 50 + val MaxEngagementAge: Duration = 14.days + val MaxNewUserAge: Duration = 30.days + val ProfileViewScore = 0.4 + val EngagementScoreMap = Map( + EngagementType.Like -> 1.0, + EngagementType.Retweet -> 1.0, + EngagementType.Mention -> 1.0 + ) + val StrongEngagementScoreMap = Map( + EngagementType.Like -> 1.0, + EngagementType.Retweet -> 1.0, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/BUILD new file mode 100644 index 000000000..58b5001fd --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/BUILD @@ -0,0 +1,26 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/github/nscala_time", + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "escherbird/src/scala/com/twitter/escherbird/util/stitchcache", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-thrift-client/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "socialgraph/server/src/main/scala/com/twitter/socialgraph/util", + "src/thrift/com/twitter/socialgraph:thrift-scala", + "stitch/stitch-socialgraph", + "strato/config/columns/onboarding/socialGraphService:socialGraphService-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-core:scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/SocialGraphClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/SocialGraphClient.scala new file mode 100644 index 000000000..3ad90b5ed --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/SocialGraphClient.scala @@ -0,0 +1,421 @@ +package com.twitter.follow_recommendations.common.clients.socialgraph + +import com.twitter.escherbird.util.stitchcache.StitchCache +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.common.models.UserIdWithTimestamp +import com.twitter.inject.Logging +import com.twitter.socialgraph.thriftscala.EdgesRequest +import com.twitter.socialgraph.thriftscala.IdsRequest +import com.twitter.socialgraph.thriftscala.IdsResult +import com.twitter.socialgraph.thriftscala.LookupContext +import com.twitter.socialgraph.thriftscala.OverCapacity +import com.twitter.socialgraph.thriftscala.PageRequest +import com.twitter.socialgraph.thriftscala.RelationshipType +import com.twitter.socialgraph.thriftscala.SrcRelationship +import com.twitter.socialgraph.util.ByteBufferUtil +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.SocialGraph +import com.twitter.strato.client.Fetcher +import com.twitter.strato.generated.client.onboarding.socialGraphService.IdsClientColumn +import com.twitter.util.Duration +import com.twitter.util.Time +import java.nio.ByteBuffer +import javax.inject.Inject +import javax.inject.Singleton + +case class RecentEdgesQuery( + userId: Long, + relations: Seq[RelationshipType], + // prefer to default value to better utilize the caching function of stitch + count: Option[Int] = Some(SocialGraphClient.MaxQuerySize), + performUnion: Boolean = true, + recentEdgesWindowOpt: Option[Duration] = None, + targets: Option[Seq[Long]] = None) + +case class EdgeRequestQuery( + userId: Long, + relation: RelationshipType, + count: Option[Int] = Some(SocialGraphClient.MaxQuerySize), + performUnion: Boolean = true, + recentEdgesWindowOpt: Option[Duration] = None, + targets: Option[Seq[Long]] = None) + +@Singleton +class SocialGraphClient @Inject() ( + socialGraph: SocialGraph, + idsClientColumn: IdsClientColumn, + statsReceiver: StatsReceiver = NullStatsReceiver) + extends Logging { + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val cacheStats = stats.scope("cache") + private val getIntersectionsStats = stats.scope("getIntersections") + private val getIntersectionsFromCachedColumnStats = + stats.scope("getIntersectionsFromCachedColumn") + private val getRecentEdgesStats = stats.scope("getRecentEdges") + private val getRecentEdgesCachedStats = stats.scope("getRecentEdgesCached") + private val getRecentEdgesFromCachedColumnStats = stats.scope("getRecentEdgesFromCachedColumn") + private val getRecentEdgesCachedInternalStats = stats.scope("getRecentEdgesCachedInternal") + private val getRecentEdgesWithTimeStats = stats.scope("getRecentEdgesWithTime") + + val sgsIdsFetcher: Fetcher[IdsRequest, Unit, IdsResult] = idsClientColumn.fetcher + + private val recentEdgesCache = StitchCache[RecentEdgesQuery, Seq[Long]]( + maxCacheSize = SocialGraphClient.MaxCacheSize, + ttl = SocialGraphClient.CacheTTL, + statsReceiver = cacheStats, + underlyingCall = getRecentEdges + ) + + def getRecentEdgesCached( + rq: RecentEdgesQuery, + useCachedStratoColumn: Boolean = true + ): Stitch[Seq[Long]] = { + getRecentEdgesCachedStats.counter("requests").incr() + if (useCachedStratoColumn) { + getRecentEdgesFromCachedColumn(rq) + } else { + StatsUtil.profileStitch( + getRecentEdgesCachedInternal(rq), + getRecentEdgesCachedInternalStats + ) + } + } + + def getRecentEdgesCachedInternal(rq: RecentEdgesQuery): Stitch[Seq[Long]] = { + recentEdgesCache.readThrough(rq) + } + + def getRecentEdgesFromCachedColumn(rq: RecentEdgesQuery): Stitch[Seq[Long]] = { + val pageRequest = rq.recentEdgesWindowOpt match { + case Some(recentEdgesWindow) => + PageRequest( + count = rq.count, + cursor = Some(getEdgeCursor(recentEdgesWindow)), + selectAll = Some(true) + ) + case _ => PageRequest(count = rq.count) + } + val idsRequest = IdsRequest( + rq.relations.map { relationshipType => + SrcRelationship( + source = rq.userId, + relationshipType = relationshipType, + targets = rq.targets + ) + }, + pageRequest = Some(pageRequest), + context = Some(LookupContext(performUnion = Some(rq.performUnion))) + ) + + val socialGraphStitch = sgsIdsFetcher + .fetch(idsRequest, Unit) + .map(_.v) + .map { result => + result + .map { idResult => + val userIds: Seq[Long] = idResult.ids + getRecentEdgesFromCachedColumnStats.stat("num_edges").add(userIds.size) + userIds + }.getOrElse(Seq.empty) + } + .rescue { + case e: Exception => + stats.counter(e.getClass.getSimpleName).incr() + Stitch.Nil + } + + StatsUtil.profileStitch( + socialGraphStitch, + getRecentEdgesFromCachedColumnStats + ) + } + + def getRecentEdges(rq: RecentEdgesQuery): Stitch[Seq[Long]] = { + val pageRequest = rq.recentEdgesWindowOpt match { + case Some(recentEdgesWindow) => + PageRequest( + count = rq.count, + cursor = Some(getEdgeCursor(recentEdgesWindow)), + selectAll = Some(true) + ) + case _ => PageRequest(count = rq.count) + } + val socialGraphStitch = socialGraph + .ids( + IdsRequest( + rq.relations.map { relationshipType => + SrcRelationship( + source = rq.userId, + relationshipType = relationshipType, + targets = rq.targets + ) + }, + pageRequest = Some(pageRequest), + context = Some(LookupContext(performUnion = Some(rq.performUnion))) + ) + ) + .map { idsResult => + val userIds: Seq[Long] = idsResult.ids + getRecentEdgesStats.stat("num_edges").add(userIds.size) + userIds + } + .rescue { + case e: OverCapacity => + stats.counter(e.getClass.getSimpleName).incr() + logger.warn("SGS Over Capacity", e) + Stitch.Nil + } + StatsUtil.profileStitch( + socialGraphStitch, + getRecentEdgesStats + ) + } + + // This method return recent edges of (userId, timeInMs) + def getRecentEdgesWithTime(rq: EdgeRequestQuery): Stitch[Seq[UserIdWithTimestamp]] = { + val pageRequest = rq.recentEdgesWindowOpt match { + case Some(recentEdgesWindow) => + PageRequest( + count = rq.count, + cursor = Some(getEdgeCursor(recentEdgesWindow)), + selectAll = Some(true) + ) + case _ => PageRequest(count = rq.count) + } + + val socialGraphStitch = socialGraph + .edges( + EdgesRequest( + SrcRelationship( + source = rq.userId, + relationshipType = rq.relation, + targets = rq.targets + ), + pageRequest = Some(pageRequest), + context = Some(LookupContext(performUnion = Some(rq.performUnion))) + ) + ) + .map { edgesResult => + val userIds = edgesResult.edges.map { socialEdge => + UserIdWithTimestamp(socialEdge.target, socialEdge.updatedAt) + } + getRecentEdgesWithTimeStats.stat("num_edges").add(userIds.size) + userIds + } + .rescue { + case e: OverCapacity => + stats.counter(e.getClass.getSimpleName).incr() + logger.warn("SGS Over Capacity", e) + Stitch.Nil + } + StatsUtil.profileStitch( + socialGraphStitch, + getRecentEdgesWithTimeStats + ) + } + + // This method returns the cursor for a time duration, such that all the edges returned by SGS will be created + // in the range (now-window, now) + def getEdgeCursor(window: Duration): ByteBuffer = { + val cursorInLong = (-(Time.now - window).inMilliseconds) << 20 + ByteBufferUtil.fromLong(cursorInLong) + } + + // notice that this is more expensive but more realtime than the GFS one + def getIntersections( + userId: Long, + candidateIds: Seq[Long], + numIntersectionIds: Int + ): Stitch[Map[Long, FollowProof]] = { + val socialGraphStitch: Stitch[Map[Long, FollowProof]] = Stitch + .collect(candidateIds.map { candidateId => + socialGraph + .ids( + IdsRequest( + Seq( + SrcRelationship(userId, RelationshipType.Following), + SrcRelationship(candidateId, RelationshipType.FollowedBy) + ), + pageRequest = Some(PageRequest(count = Some(numIntersectionIds))) + ) + ).map { idsResult => + getIntersectionsStats.stat("num_edges").add(idsResult.ids.size) + (candidateId -> FollowProof(idsResult.ids, idsResult.ids.size)) + } + }).map(_.toMap) + .rescue { + case e: OverCapacity => + stats.counter(e.getClass.getSimpleName).incr() + logger.warn("social graph over capacity in hydrating social proof", e) + Stitch.value(Map.empty) + } + StatsUtil.profileStitch( + socialGraphStitch, + getIntersectionsStats + ) + } + + def getIntersectionsFromCachedColumn( + userId: Long, + candidateIds: Seq[Long], + numIntersectionIds: Int + ): Stitch[Map[Long, FollowProof]] = { + val socialGraphStitch: Stitch[Map[Long, FollowProof]] = Stitch + .collect(candidateIds.map { candidateId => + val idsRequest = IdsRequest( + Seq( + SrcRelationship(userId, RelationshipType.Following), + SrcRelationship(candidateId, RelationshipType.FollowedBy) + ), + pageRequest = Some(PageRequest(count = Some(numIntersectionIds))) + ) + + sgsIdsFetcher + .fetch(idsRequest, Unit) + .map(_.v) + .map { resultOpt => + resultOpt.map { idsResult => + getIntersectionsFromCachedColumnStats.stat("num_edges").add(idsResult.ids.size) + candidateId -> FollowProof(idsResult.ids, idsResult.ids.size) + } + } + }).map(_.flatten.toMap) + .rescue { + case e: Exception => + stats.counter(e.getClass.getSimpleName).incr() + Stitch.value(Map.empty) + } + StatsUtil.profileStitch( + socialGraphStitch, + getIntersectionsFromCachedColumnStats + ) + } + + def getInvalidRelationshipUserIds( + userId: Long, + maxNumRelationship: Int = SocialGraphClient.MaxNumInvalidRelationship + ): Stitch[Seq[Long]] = { + getRecentEdges( + RecentEdgesQuery( + userId, + SocialGraphClient.InvalidRelationshipTypes, + Some(maxNumRelationship) + ) + ) + } + + def getInvalidRelationshipUserIdsFromCachedColumn( + userId: Long, + maxNumRelationship: Int = SocialGraphClient.MaxNumInvalidRelationship + ): Stitch[Seq[Long]] = { + getRecentEdgesFromCachedColumn( + RecentEdgesQuery( + userId, + SocialGraphClient.InvalidRelationshipTypes, + Some(maxNumRelationship) + ) + ) + } + + def getRecentFollowedUserIds(userId: Long): Stitch[Seq[Long]] = { + getRecentEdges( + RecentEdgesQuery( + userId, + Seq(RelationshipType.Following) + ) + ) + } + + def getRecentFollowedUserIdsFromCachedColumn(userId: Long): Stitch[Seq[Long]] = { + getRecentEdgesFromCachedColumn( + RecentEdgesQuery( + userId, + Seq(RelationshipType.Following) + ) + ) + } + + def getRecentFollowedUserIdsWithTime(userId: Long): Stitch[Seq[UserIdWithTimestamp]] = { + getRecentEdgesWithTime( + EdgeRequestQuery( + userId, + RelationshipType.Following + ) + ) + } + + def getRecentFollowedByUserIds(userId: Long): Stitch[Seq[Long]] = { + getRecentEdges( + RecentEdgesQuery( + userId, + Seq(RelationshipType.FollowedBy) + ) + ) + } + + def getRecentFollowedByUserIdsFromCachedColumn(userId: Long): Stitch[Seq[Long]] = { + getRecentEdgesFromCachedColumn( + RecentEdgesQuery( + userId, + Seq(RelationshipType.FollowedBy) + ) + ) + } + + def getRecentFollowedUserIdsWithTimeWindow( + userId: Long, + timeWindow: Duration + ): Stitch[Seq[Long]] = { + getRecentEdges( + RecentEdgesQuery( + userId, + Seq(RelationshipType.Following), + recentEdgesWindowOpt = Some(timeWindow) + ) + ) + } +} + +object SocialGraphClient { + + val MaxQuerySize: Int = 500 + val MaxCacheSize: Int = 5000000 + // Ref: src/thrift/com/twitter/socialgraph/social_graph_service.thrift + val MaxNumInvalidRelationship: Int = 5000 + val CacheTTL: Duration = Duration.fromHours(24) + + val InvalidRelationshipTypes: Seq[RelationshipType] = Seq( + RelationshipType.HideRecommendations, + RelationshipType.Blocking, + RelationshipType.BlockedBy, + RelationshipType.Muting, + RelationshipType.MutedBy, + RelationshipType.ReportedAsSpam, + RelationshipType.ReportedAsSpamBy, + RelationshipType.ReportedAsAbuse, + RelationshipType.ReportedAsAbuseBy, + RelationshipType.FollowRequestOutgoing, + RelationshipType.Following, + RelationshipType.UsedToFollow, + ) + + /** + * + * Whether to call SGS to validate each candidate based on the number of invalid relationship users + * prefetched during request building step. This aims to not omit any invalid candidates that are + * not filtered out in previous steps. + * If the number is 0, this might be a fail-opened SGS call. + * If the number is larger or equal to 5000, this could hit SGS page size limit. + * Both cases account for a small percentage of the total traffic (<5%). + * + * @param numInvalidRelationshipUsers number of invalid relationship users fetched from getInvalidRelationshipUserIds + * @return whether to enable post-ranker SGS predicate + */ + def enablePostRankerSgsPredicate(numInvalidRelationshipUsers: Int): Boolean = { + numInvalidRelationshipUsers == 0 || numInvalidRelationshipUsers >= MaxNumInvalidRelationship + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/SocialGraphModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/SocialGraphModule.scala new file mode 100644 index 000000000..5a97448d1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph/SocialGraphModule.scala @@ -0,0 +1,25 @@ +package com.twitter.follow_recommendations.common.clients.socialgraph + +import com.google.inject.Provides +import com.twitter.finagle.ThriftMux +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.follow_recommendations.common.clients.common.BaseClientModule +import com.twitter.socialgraph.thriftscala.SocialGraphService +import com.twitter.stitch.socialgraph.SocialGraph +import javax.inject.Singleton + +object SocialGraphModule + extends BaseClientModule[SocialGraphService.MethodPerEndpoint] + with MtlsClient { + override val label = "social-graph-service" + override val dest = "/s/socialgraph/socialgraph" + + override def configureThriftMuxClient(client: ThriftMux.Client): ThriftMux.Client = + client.withSessionQualifier.noFailFast + + @Provides + @Singleton + def providesStitchClient(futureIface: SocialGraphService.MethodPerEndpoint): SocialGraph = { + SocialGraph(futureIface) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato/BUILD new file mode 100644 index 000000000..3661887c8 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato/BUILD @@ -0,0 +1,30 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "src/scala/com/twitter/onboarding/relevance/candidate_generation/utt/models", + "src/thrift/com/twitter/core_workflows/user_model:user_model-scala", + "src/thrift/com/twitter/frigate/data_pipeline:frigate-user-history-thrift-scala", + "src/thrift/com/twitter/hermit/candidate:hermit-candidate-scala", + "src/thrift/com/twitter/hermit/pop_geo:hermit-pop-geo-scala", + "src/thrift/com/twitter/onboarding/relevance/relatable_accounts:relatable_accounts-scala", + "src/thrift/com/twitter/onboarding/relevance/store:store-scala", + "src/thrift/com/twitter/recos/user_user_graph:user_user_graph-scala", + "src/thrift/com/twitter/search/account_search/extended_network:extended_network_users-scala", + "src/thrift/com/twitter/service/metastore/gen:thrift-scala", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + "src/thrift/com/twitter/wtf/ml:wtf-ml-output-thrift-scala", + "src/thrift/com/twitter/wtf/real_time_interaction_graph:wtf-real_time_interaction_graph-thrift-scala", + "src/thrift/com/twitter/wtf/triangular_loop:triangular_loop-scala", + "strato/src/main/scala/com/twitter/strato/client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato/StratoClientModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato/StratoClientModule.scala new file mode 100644 index 000000000..4046ac754 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato/StratoClientModule.scala @@ -0,0 +1,249 @@ +package com.twitter.follow_recommendations.common.clients.strato + +import com.google.inject.name.Named +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.conversions.DurationOps._ +import com.twitter.core_workflows.user_model.thriftscala.CondensedUserState +import com.twitter.search.account_search.extended_network.thriftscala.ExtendedNetworkUserKey +import com.twitter.search.account_search.extended_network.thriftscala.ExtendedNetworkUserVal +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.thrift.Protocols +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.constants.ServiceConstants._ +import com.twitter.frigate.data_pipeline.candidate_generation.thriftscala.LatestEvents +import com.twitter.hermit.candidate.thriftscala.{Candidates => HermitCandidates} +import com.twitter.hermit.pop_geo.thriftscala.PopUsersInPlace +import com.twitter.onboarding.relevance.relatable_accounts.thriftscala.RelatableAccounts +import com.twitter.inject.TwitterModule +import com.twitter.onboarding.relevance.candidates.thriftscala.InterestBasedUserRecommendations +import com.twitter.onboarding.relevance.candidates.thriftscala.UTTInterest +import com.twitter.onboarding.relevance.store.thriftscala.WhoToFollowDismissEventDetails +import com.twitter.recos.user_user_graph.thriftscala.RecommendUserRequest +import com.twitter.recos.user_user_graph.thriftscala.RecommendUserResponse +import com.twitter.service.metastore.gen.thriftscala.UserRecommendabilityFeatures +import com.twitter.strato.catalog.Scan.Slice +import com.twitter.strato.client.Strato.{Client => StratoClient} +import com.twitter.strato.client.Client +import com.twitter.strato.client.Fetcher +import com.twitter.strato.client.Scanner +import com.twitter.strato.thrift.ScroogeConvImplicits._ +import com.twitter.wtf.candidate.thriftscala.CandidateSeq +import com.twitter.wtf.ml.thriftscala.CandidateFeatures +import com.twitter.wtf.real_time_interaction_graph.thriftscala.Interaction +import com.twitter.wtf.triangular_loop.thriftscala.{Candidates => TriangularLoopCandidates} +import com.twitter.strato.opcontext.Attribution._ + +object StratoClientModule extends TwitterModule { + + // column paths + val CosineFollowPath = "recommendations/similarity/similarUsersByFollowGraph.User" + val CosineListPath = "recommendations/similarity/similarUsersByListGraph.User" + val CuratedCandidatesPath = "onboarding/curatedAccounts" + val CuratedFilteredAccountsPath = "onboarding/filteredAccountsFromRecommendations" + val PopUsersInPlacePath = "onboarding/userrecs/popUsersInPlace" + val ProfileSidebarBlacklistPath = "recommendations/hermit/profile-sidebar-blacklist" + val RealTimeInteractionsPath = "hmli/realTimeInteractions" + val SimsPath = "recommendations/similarity/similarUsersBySims.User" + val DBV2SimsPath = "onboarding/userrecs/newSims.User" + val TriangularLoopsPath = "onboarding/userrecs/triangularLoops.User" + val TwoHopRandomWalkPath = "onboarding/userrecs/twoHopRandomWalk.User" + val UserRecommendabilityPath = "onboarding/userRecommendabilityWithLongKeys.User" + val UTTAccountRecommendationsPath = "onboarding/userrecs/utt_account_recommendations" + val UttSeedAccountsRecommendationPath = "onboarding/userrecs/utt_seed_accounts" + val UserStatePath = "onboarding/userState.User" + val WTFPostNuxFeaturesPath = "ml/featureStore/onboarding/wtfPostNuxFeatures.User" + val ElectionCandidatesPath = "onboarding/electionAccounts" + val UserUserGraphPath = "recommendations/userUserGraph" + val WtfDissmissEventsPath = "onboarding/wtfDismissEvents" + val RelatableAccountsPath = "onboarding/userrecs/relatableAccounts" + val ExtendedNetworkCandidatesPath = "search/account_search/extendedNetworkCandidatesMH" + val LabeledNotificationPath = "frigate/magicrecs/labeledPushRecsAggregated.User" + + @Provides + @Singleton + def stratoClient(serviceIdentifier: ServiceIdentifier): Client = { + val timeoutBudget = 500.milliseconds + StratoClient( + ThriftMux.client + .withRequestTimeout(timeoutBudget) + .withProtocolFactory(Protocols.binaryFactory( + stringLengthLimit = StringLengthLimit, + containerLengthLimit = ContainerLengthLimit))) + .withMutualTls(serviceIdentifier) + .build() + } + + // add strato putters, fetchers, scanners below: + @Provides + @Singleton + @Named(GuiceNamedConstants.COSINE_FOLLOW_FETCHER) + def cosineFollowFetcher(stratoClient: Client): Fetcher[Long, Unit, HermitCandidates] = + stratoClient.fetcher[Long, Unit, HermitCandidates](CosineFollowPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.COSINE_LIST_FETCHER) + def cosineListFetcher(stratoClient: Client): Fetcher[Long, Unit, HermitCandidates] = + stratoClient.fetcher[Long, Unit, HermitCandidates](CosineListPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.CURATED_COMPETITOR_ACCOUNTS_FETCHER) + def curatedBlacklistedAccountsFetcher(stratoClient: Client): Fetcher[String, Unit, Seq[Long]] = + stratoClient.fetcher[String, Unit, Seq[Long]](CuratedFilteredAccountsPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.CURATED_CANDIDATES_FETCHER) + def curatedCandidatesFetcher(stratoClient: Client): Fetcher[String, Unit, Seq[Long]] = + stratoClient.fetcher[String, Unit, Seq[Long]](CuratedCandidatesPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.POP_USERS_IN_PLACE_FETCHER) + def popUsersInPlaceFetcher(stratoClient: Client): Fetcher[String, Unit, PopUsersInPlace] = + stratoClient.fetcher[String, Unit, PopUsersInPlace](PopUsersInPlacePath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.RELATABLE_ACCOUNTS_FETCHER) + def relatableAccountsFetcher(stratoClient: Client): Fetcher[String, Unit, RelatableAccounts] = + stratoClient.fetcher[String, Unit, RelatableAccounts](RelatableAccountsPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.PROFILE_SIDEBAR_BLACKLIST_SCANNER) + def profileSidebarBlacklistScanner( + stratoClient: Client + ): Scanner[(Long, Slice[Long]), Unit, (Long, Long), Unit] = + stratoClient.scanner[(Long, Slice[Long]), Unit, (Long, Long), Unit](ProfileSidebarBlacklistPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.REAL_TIME_INTERACTIONS_FETCHER) + def realTimeInteractionsFetcher( + stratoClient: Client + ): Fetcher[(Long, Long), Unit, Seq[Interaction]] = + stratoClient.fetcher[(Long, Long), Unit, Seq[Interaction]](RealTimeInteractionsPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.SIMS_FETCHER) + def simsFetcher(stratoClient: Client): Fetcher[Long, Unit, HermitCandidates] = + stratoClient.fetcher[Long, Unit, HermitCandidates](SimsPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.DBV2_SIMS_FETCHER) + def dbv2SimsFetcher(stratoClient: Client): Fetcher[Long, Unit, HermitCandidates] = + stratoClient.fetcher[Long, Unit, HermitCandidates](DBV2SimsPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.TRIANGULAR_LOOPS_FETCHER) + def triangularLoopsFetcher(stratoClient: Client): Fetcher[Long, Unit, TriangularLoopCandidates] = + stratoClient.fetcher[Long, Unit, TriangularLoopCandidates](TriangularLoopsPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.TWO_HOP_RANDOM_WALK_FETCHER) + def twoHopRandomWalkFetcher(stratoClient: Client): Fetcher[Long, Unit, CandidateSeq] = + stratoClient.fetcher[Long, Unit, CandidateSeq](TwoHopRandomWalkPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.USER_RECOMMENDABILITY_FETCHER) + def userRecommendabilityFetcher( + stratoClient: Client + ): Fetcher[Long, Unit, UserRecommendabilityFeatures] = + stratoClient.fetcher[Long, Unit, UserRecommendabilityFeatures](UserRecommendabilityPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.USER_STATE_FETCHER) + def userStateFetcher(stratoClient: Client): Fetcher[Long, Unit, CondensedUserState] = + stratoClient.fetcher[Long, Unit, CondensedUserState](UserStatePath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.UTT_ACCOUNT_RECOMMENDATIONS_FETCHER) + def uttAccountRecommendationsFetcher( + stratoClient: Client + ): Fetcher[UTTInterest, Unit, InterestBasedUserRecommendations] = + stratoClient.fetcher[UTTInterest, Unit, InterestBasedUserRecommendations]( + UTTAccountRecommendationsPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.UTT_SEED_ACCOUNTS_FETCHER) + def uttSeedAccountRecommendationsFetcher( + stratoClient: Client + ): Fetcher[UTTInterest, Unit, InterestBasedUserRecommendations] = + stratoClient.fetcher[UTTInterest, Unit, InterestBasedUserRecommendations]( + UttSeedAccountsRecommendationPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.ELECTION_CANDIDATES_FETCHER) + def electionCandidatesFetcher(stratoClient: Client): Fetcher[String, Unit, Seq[Long]] = + stratoClient.fetcher[String, Unit, Seq[Long]](ElectionCandidatesPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.USER_USER_GRAPH_FETCHER) + def userUserGraphFetcher( + stratoClient: Client + ): Fetcher[RecommendUserRequest, Unit, RecommendUserResponse] = + stratoClient.fetcher[RecommendUserRequest, Unit, RecommendUserResponse](UserUserGraphPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.POST_NUX_WTF_FEATURES_FETCHER) + def wtfPostNuxFeaturesFetcher(stratoClient: Client): Fetcher[Long, Unit, CandidateFeatures] = { + val attribution = ManhattanAppId("starbuck", "wtf_starbuck") + stratoClient + .fetcher[Long, Unit, CandidateFeatures](WTFPostNuxFeaturesPath) + .withAttribution(attribution) + } + + @Provides + @Singleton + @Named(GuiceNamedConstants.EXTENDED_NETWORK) + def extendedNetworkFetcher( + stratoClient: Client + ): Fetcher[ExtendedNetworkUserKey, Unit, ExtendedNetworkUserVal] = { + stratoClient + .fetcher[ExtendedNetworkUserKey, Unit, ExtendedNetworkUserVal](ExtendedNetworkCandidatesPath) + } + + @Provides + @Singleton + @Named(GuiceNamedConstants.DISMISS_STORE_SCANNER) + def dismissStoreScanner( + stratoClient: Client + ): Scanner[ + (Long, Slice[(Long, Long)]), + Unit, + (Long, (Long, Long)), + WhoToFollowDismissEventDetails + ] = + stratoClient.scanner[ + (Long, Slice[(Long, Long)]), // PKEY: userId, LKEY: (-ts, candidateId) + Unit, + (Long, (Long, Long)), + WhoToFollowDismissEventDetails + ](WtfDissmissEventsPath) + + @Provides + @Singleton + @Named(GuiceNamedConstants.LABELED_NOTIFICATION_FETCHER) + def labeledNotificationFetcher( + stratoClient: Client + ): Fetcher[Long, Unit, LatestEvents] = { + stratoClient + .fetcher[Long, Unit, LatestEvents](LabeledNotificationPath) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state/BUILD new file mode 100644 index 000000000..16a82a302 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state/BUILD @@ -0,0 +1,17 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "stitch/stitch-core", + "strato/src/main/scala/com/twitter/strato/client", + "user-signal-service/thrift/src/main/thrift:thrift-scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state/UserStateClient.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state/UserStateClient.scala new file mode 100644 index 000000000..fe8101261 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state/UserStateClient.scala @@ -0,0 +1,83 @@ +package com.twitter.follow_recommendations.common.clients.user_state + +import com.google.inject.name.Named +import com.twitter.conversions.DurationOps._ +import com.twitter.core_workflows.user_model.thriftscala.CondensedUserState +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.decider.Decider +import com.twitter.decider.RandomRecipient +import com.twitter.finagle.Memcached.Client +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.clients.cache.MemcacheClient +import com.twitter.follow_recommendations.common.clients.cache.ThriftEnumOptionBijection +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.configapi.deciders.DeciderKey +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import com.twitter.util.Duration +import javax.inject.Inject +import javax.inject.Singleton +import java.lang.{Long => JLong} + +@Singleton +class UserStateClient @Inject() ( + @Named(GuiceNamedConstants.USER_STATE_FETCHER) userStateFetcher: Fetcher[ + Long, + Unit, + CondensedUserState + ], + client: Client, + statsReceiver: StatsReceiver, + decider: Decider = Decider.False) { + + private val stats: StatsReceiver = statsReceiver.scope("user_state_client") + + // client to memcache cluster + val bijection = new ThriftEnumOptionBijection[UserState](UserState.apply) + val memcacheClient = MemcacheClient[Option[UserState]]( + client = client, + dest = "/s/cache/follow_recos_service:twemcaches", + valueBijection = bijection, + ttl = UserStateClient.CacheTTL, + statsReceiver = stats.scope("twemcache") + ) + + def getUserState(userId: Long): Stitch[Option[UserState]] = { + val deciderKey: String = DeciderKey.EnableDistributedCaching.toString + val enableDistributedCaching: Boolean = decider.isAvailable(deciderKey, Some(RandomRecipient)) + val userStateStitch: Stitch[Option[UserState]] = + enableDistributedCaching match { + // read from memcache + case true => memcacheClient.readThrough( + // add a key prefix to address cache key collisions + key = "UserStateClient" + userId.toString, + underlyingCall = () => fetchUserState(userId) + ) + case false => fetchUserState(userId) + } + val userStateStitchWithTimeout: Stitch[Option[UserState]] = + userStateStitch + // set a 150ms timeout limit for user state fetches + .within(150.milliseconds)(DefaultTimer) + .rescue { + case e: Exception => + stats.scope("rescued").counter(e.getClass.getSimpleName).incr() + Stitch(None) + } + // profile the latency of stitch call and return the result + StatsUtil.profileStitch( + userStateStitchWithTimeout, + stats.scope("getUserState") + ) + } + + def fetchUserState(userId: JLong): Stitch[Option[UserState]] = { + userStateFetcher.fetch(userId).map(_.v.flatMap(_.userState)) + } +} + +object UserStateClient { + val CacheTTL: Duration = Duration.fromHours(6) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/BUILD new file mode 100644 index 000000000..dc9335d5b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/BUILD @@ -0,0 +1,9 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "util/util-core/src/main/scala/com/twitter/conversions", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/CandidateAlgorithmTypeConstants.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/CandidateAlgorithmTypeConstants.scala new file mode 100644 index 000000000..7c7892c02 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/CandidateAlgorithmTypeConstants.scala @@ -0,0 +1,91 @@ +package com.twitter.follow_recommendations.common.constants + +import com.twitter.hermit.constants.AlgorithmFeedbackTokens.AlgorithmToFeedbackTokenMap +import com.twitter.hermit.model.Algorithm._ +import com.twitter.follow_recommendations.common.models.AlgorithmType + +object CandidateAlgorithmTypeConstants { + + /** + * Each algorithm is based on one, or more, of the 4 types of information we have on users, + * described in [[AlgorithmType]]. Assignment of algorithms to these categories are based on + */ + private val AlgorithmIdToType: Map[String, Set[AlgorithmType.Value]] = Map( + // Activity Algorithms: + AlgorithmToFeedbackTokenMap(NewFollowingSimilarUser).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(Sims).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(NewFollowingSimilarUserSalsa).toString -> Set( + AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(RecentEngagementNonDirectFollow).toString -> Set( + AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(RecentEngagementSimilarUser).toString -> Set( + AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(RecentEngagementSarusOcCur).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(RecentSearchBasedRec).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(TwistlyTweetAuthors).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(Follow2VecNearestNeighbors).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(EmailTweetClick).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(RepeatedProfileVisits).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(GoodTweetClickEngagements).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(TweetShareEngagements).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(TweetSharerToShareRecipientEngagements).toString -> Set( + AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(TweetAuthorToShareRecipientEngagements).toString -> Set( + AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(LinearRegressionFollow2VecNearestNeighbors).toString -> Set( + AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(NUXLOHistory).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(TrafficAttributionAccounts).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(RealGraphOonV2).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(MagicRecsRecentEngagements).toString -> Set(AlgorithmType.Activity), + AlgorithmToFeedbackTokenMap(NotificationEngagement).toString -> Set(AlgorithmType.Activity), + // Social Algorithms: + AlgorithmToFeedbackTokenMap(TwoHopRandomWalk).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(RealTimeMutualFollow).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(ForwardPhoneBook).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(ForwardEmailBook).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(NewFollowingNewFollowingExpansion).toString -> Set( + AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(NewFollowingSarusCoOccurSocialProof).toString -> Set( + AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(ReverseEmailBookIbis).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(ReversePhoneBook).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(StrongTiePredictionRec).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(StrongTiePredictionRecWithSocialProof).toString -> Set( + AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(OnlineStrongTiePredictionRec).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(OnlineStrongTiePredictionRecNoCaching).toString -> Set( + AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(TriangularLoop).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(StrongTiePredictionPmi).toString -> Set(AlgorithmType.Social), + AlgorithmToFeedbackTokenMap(OnlineStrongTiePredictionRAB).toString -> Set(AlgorithmType.Social), + // Geo Algorithms: + AlgorithmToFeedbackTokenMap(PopCountryBackFill).toString -> Set(AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(PopCountry).toString -> Set(AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(PopGeohash).toString -> Set(AlgorithmType.Geo), +// AlgorithmToFeedbackTokenMap(PopGeohashRealGraph).toString -> Set(AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(EngagedFollowerRatio).toString -> Set(AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(CrowdSearchAccounts).toString -> Set(AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(OrganicFollowAccounts).toString -> Set(AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(PopGeohashQualityFollow).toString -> Set(AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(PPMILocaleFollow).toString -> Set(AlgorithmType.Geo), + // Interest Algorithms: + AlgorithmToFeedbackTokenMap(TttInterest).toString -> Set(AlgorithmType.Interest), + AlgorithmToFeedbackTokenMap(UttInterestRelatedUsers).toString -> Set(AlgorithmType.Interest), + AlgorithmToFeedbackTokenMap(UttSeedAccounts).toString -> Set(AlgorithmType.Interest), + AlgorithmToFeedbackTokenMap(UttProducerExpansion).toString -> Set(AlgorithmType.Interest), + // Hybrid (more than one type) Algorithms: + AlgorithmToFeedbackTokenMap(UttProducerOfflineMbcgV1).toString -> Set( + AlgorithmType.Interest, + AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(CuratedAccounts).toString -> Set( + AlgorithmType.Interest, + AlgorithmType.Geo), + AlgorithmToFeedbackTokenMap(UserUserGraph).toString -> Set( + AlgorithmType.Social, + AlgorithmType.Activity), + ) + def getAlgorithmTypes(algoId: String): Set[String] = { + AlgorithmIdToType.get(algoId).map(_.map(_.toString)).getOrElse(Set.empty) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/GuiceNamedConstants.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/GuiceNamedConstants.scala new file mode 100644 index 000000000..d3d61fa43 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/GuiceNamedConstants.scala @@ -0,0 +1,43 @@ +package com.twitter.follow_recommendations.common.constants + +object GuiceNamedConstants { + final val PRODUCER_SIDE_FEATURE_SWITCHES = "PRODUCER_SIDE_FEATURE_SWITCHES" + final val CLIENT_EVENT_LOGGER = "CLIENT_EVENT_LOGGER" + final val COSINE_FOLLOW_FETCHER = "cosine_follow_fetcher" + final val COSINE_LIST_FETCHER = "cosine_list_fetcher" + final val CURATED_CANDIDATES_FETCHER = "curated_candidates_fetcher" + final val CURATED_COMPETITOR_ACCOUNTS_FETCHER = "curated_competitor_accounts_fetcher" + final val POP_USERS_IN_PLACE_FETCHER = "pop_users_in_place_fetcher" + final val PROFILE_SIDEBAR_BLACKLIST_SCANNER = "profile_sidebar_blacklist_scanner" + final val REQUEST_LOGGER = "REQUEST_LOGGER" + final val FLOW_LOGGER = "FLOW_LOGGER" + final val REAL_TIME_INTERACTIONS_FETCHER = "real_time_interactions_fetcher" + final val SIMS_FETCHER = "sims_fetcher" + final val DBV2_SIMS_FETCHER = "dbv2_sims_fetcher" + + final val TRIANGULAR_LOOPS_FETCHER = "triangular_loops_fetcher" + final val TWO_HOP_RANDOM_WALK_FETCHER = "two_hop_random_walk_fetcher" + final val USER_RECOMMENDABILITY_FETCHER = "user_recommendability_fetcher" + final val USER_STATE_FETCHER = "user_state_fetcher" + final val UTT_ACCOUNT_RECOMMENDATIONS_FETCHER = "utt_account_recomendations_fetcher" + final val UTT_SEED_ACCOUNTS_FETCHER = "utt_seed_accounts_fetcher" + + final val ELECTION_CANDIDATES_FETCHER = "election_candidates_fetcher" + final val POST_NUX_WTF_FEATURES_FETCHER = "post_nux_wtf_features_fetcher" + + final val USER_USER_GRAPH_FETCHER = "user_user_graph_fetcher" + final val DISMISS_STORE_SCANNER = "dismiss_store_scanner" + final val LABELED_NOTIFICATION_FETCHER = "labeled_notification_scanner" + + final val STP_EP_SCORER = "stp_ep_scorer" + final val STP_DBV2_SCORER = "stp_dbv2_scorer" + final val STP_RAB_DBV2_SCORER = "stp_rab_dbv2_scorer" + + final val EXTENDED_NETWORK = "extended_network_candidates" + + // scoring client constants + final val WTF_PROD_DEEPBIRDV2_CLIENT = "wtf_prod_deepbirdv2_client" + + // ann clients + final val RELATABLE_ACCOUNTS_FETCHER = "relatable_accounts_fetcher" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/ServiceConstants.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/ServiceConstants.scala new file mode 100644 index 000000000..6aade704c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants/ServiceConstants.scala @@ -0,0 +1,15 @@ +package com.twitter.follow_recommendations.common.constants + +import com.twitter.conversions.StorageUnitOps._ + +object ServiceConstants { + + /** thrift client response size limits + * these were estimated using monitoring dashboard + * 3MB network usage per second / 25 rps ~ 120KB/req << 1MB + * we give some buffer here in case some requests require more data than others + */ + val StringLengthLimit: Long = + 10.megabyte.inBytes + val ContainerLengthLimit: Long = 1.megabyte.inBytes +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/BUILD new file mode 100644 index 000000000..b4afee590 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/BUILD @@ -0,0 +1,82 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + ":candidate-algorithm-adapter", + ":client-context-adapter", + ":post-nux-algorithm-adapter", + ":pre-fetched-feature-adapter", + ], +) + +target( + name = "common", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/org/slf4j:slf4j-api", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/onboarding/relevance/util/metadata", + "util/util-slf4j-api/src/main/scala", + ], +) + +scala_library( + name = "candidate-algorithm-adapter", + sources = [ + "CandidateAlgorithmAdapter.scala", + ], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + ":common", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/constants", + ], +) + +scala_library( + name = "client-context-adapter", + sources = [ + "ClientContextAdapter.scala", + ], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + ":common", + "snowflake/src/main/scala/com/twitter/snowflake/id", + ], +) + +scala_library( + name = "post-nux-algorithm-adapter", + sources = [ + "PostNuxAlgorithmAdapter.scala", + ], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + ":common", + "src/scala/com/twitter/ml/featurestore/catalog/features/customer_journey:post-nux-algorithm-aggregate", + ], +) + +scala_library( + name = "pre-fetched-feature-adapter", + sources = [ + "PreFetchedFeatureAdapter.scala", + ], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + ":common", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/CandidateAlgorithmAdapter.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/CandidateAlgorithmAdapter.scala new file mode 100644 index 000000000..7a487a95b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/CandidateAlgorithmAdapter.scala @@ -0,0 +1,72 @@ +package com.twitter.follow_recommendations.common.feature_hydration.adapters + +import com.twitter.follow_recommendations.common.models.UserCandidateSourceDetails +import com.twitter.hermit.constants.AlgorithmFeedbackTokens.AlgorithmToFeedbackTokenMap +import com.twitter.hermit.model.Algorithm +import com.twitter.hermit.model.Algorithm.Algorithm +import com.twitter.hermit.model.Algorithm.UttProducerOfflineMbcgV1 +import com.twitter.hermit.model.Algorithm.UttProducerOnlineMbcgV1 +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.Feature.SparseBinary +import com.twitter.ml.api.Feature.SparseContinuous +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.ml.api.util.FDsl._ + +object CandidateAlgorithmAdapter + extends IRecordOneToOneAdapter[Option[UserCandidateSourceDetails]] { + + val CANDIDATE_ALGORITHMS: SparseBinary = new SparseBinary("candidate.source.algorithm_ids") + val CANDIDATE_SOURCE_SCORES: SparseContinuous = + new SparseContinuous("candidate.source.scores") + val CANDIDATE_SOURCE_RANKS: SparseContinuous = + new SparseContinuous("candidate.source.ranks") + + override val getFeatureContext: FeatureContext = new FeatureContext( + CANDIDATE_ALGORITHMS, + CANDIDATE_SOURCE_SCORES, + CANDIDATE_SOURCE_RANKS + ) + + /** list of candidate source remaps to avoid creating different features for experimental sources. + * the LHS should contain the experimental source, and the RHS should contain the prod source. + */ + def remapCandidateSource(a: Algorithm): Algorithm = a match { + case UttProducerOnlineMbcgV1 => UttProducerOfflineMbcgV1 + case _ => a + } + + // add the list of algorithm feedback tokens (integers) as a sparse binary feature + override def adaptToDataRecord( + userCandidateSourceDetailsOpt: Option[UserCandidateSourceDetails] + ): DataRecord = { + val dr = new DataRecord() + userCandidateSourceDetailsOpt.foreach { userCandidateSourceDetails => + val scoreMap = for { + (source, scoreOpt) <- userCandidateSourceDetails.candidateSourceScores + score <- scoreOpt + algo <- Algorithm.withNameOpt(source.name) + algoId <- AlgorithmToFeedbackTokenMap.get(remapCandidateSource(algo)) + } yield algoId.toString -> score + val rankMap = for { + (source, rank) <- userCandidateSourceDetails.candidateSourceRanks + algo <- Algorithm.withNameOpt(source.name) + algoId <- AlgorithmToFeedbackTokenMap.get(remapCandidateSource(algo)) + } yield algoId.toString -> rank.toDouble + + val algoIds = scoreMap.keys.toSet ++ rankMap.keys.toSet + + // hydrate if not empty + if (rankMap.nonEmpty) { + dr.setFeatureValue(CANDIDATE_SOURCE_RANKS, rankMap) + } + if (scoreMap.nonEmpty) { + dr.setFeatureValue(CANDIDATE_SOURCE_SCORES, scoreMap) + } + if (algoIds.nonEmpty) { + dr.setFeatureValue(CANDIDATE_ALGORITHMS, algoIds) + } + } + dr + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/ClientContextAdapter.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/ClientContextAdapter.scala new file mode 100644 index 000000000..9aa4bdb0d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/ClientContextAdapter.scala @@ -0,0 +1,79 @@ +package com.twitter.follow_recommendations.common.feature_hydration.adapters + +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.ml.api.Feature.Binary +import com.twitter.ml.api.Feature.Continuous +import com.twitter.ml.api.Feature.Discrete +import com.twitter.ml.api.Feature.Text +import com.twitter.ml.api.util.FDsl._ +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.onboarding.relevance.util.metadata.LanguageUtil +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.snowflake.id.SnowflakeId + +object ClientContextAdapter extends IRecordOneToOneAdapter[(ClientContext, DisplayLocation)] { + + // we name features with `user.account` for relatively static user-related features + val USER_COUNTRY: Text = new Text("user.account.country") + val USER_LANGUAGE: Text = new Text("user.account.language") + // we name features with `user.context` for more dynamic user-related features + val USER_LANGUAGE_PREFIX: Text = new Text("user.context.language_prefix") + val USER_CLIENT: Discrete = new Discrete("user.context.client") + val USER_AGE: Continuous = new Continuous("user.context.age") + val USER_IS_RECENT: Binary = new Binary("user.is.recent") + // we name features with `meta` for meta info about the WTF recommendation request + val META_DISPLAY_LOCATION: Text = new Text("meta.display_location") + val META_POSITION: Discrete = new Discrete("meta.position") + // This indicates whether a data point is from a random serving policy + val META_IS_RANDOM: Binary = new Binary("prediction.engine.is_random") + + val RECENT_WIN_IN_DAYS: Int = 30 + val GOAL_META_POSITION: Long = 1L + val GOAL_META_IS_RANDOM: Boolean = true + + override val getFeatureContext: FeatureContext = new FeatureContext( + USER_COUNTRY, + USER_LANGUAGE, + USER_AGE, + USER_LANGUAGE_PREFIX, + USER_CLIENT, + USER_IS_RECENT, + META_DISPLAY_LOCATION, + META_POSITION, + META_IS_RANDOM + ) + + /** + * we only want to set the relevant fields iff they exist to eliminate redundant information + * we do some simple normalization on the language code + * we set META_POSITION to 1 always + * we set META_IS_RANDOM to true always to simulate a random serving distribution + * @param record ClientContext and DisplayLocation from the request + */ + override def adaptToDataRecord(target: (ClientContext, DisplayLocation)): DataRecord = { + val dr = new DataRecord() + val cc = target._1 + val dl = target._2 + cc.countryCode.foreach(countryCode => dr.setFeatureValue(USER_COUNTRY, countryCode)) + cc.languageCode.foreach(rawLanguageCode => { + val userLanguage = LanguageUtil.simplifyLanguage(rawLanguageCode) + val userLanguagePrefix = userLanguage.take(2) + dr.setFeatureValue(USER_LANGUAGE, userLanguage) + dr.setFeatureValue(USER_LANGUAGE_PREFIX, userLanguagePrefix) + }) + cc.appId.foreach(appId => dr.setFeatureValue(USER_CLIENT, appId)) + cc.userId.foreach(id => + SnowflakeId.timeFromIdOpt(id).map { signupTime => + val userAge = signupTime.untilNow.inMillis.toDouble + dr.setFeatureValue(USER_AGE, userAge) + dr.setFeatureValue(USER_IS_RECENT, signupTime.untilNow.inDays <= RECENT_WIN_IN_DAYS) + signupTime.untilNow.inDays + }) + dr.setFeatureValue(META_DISPLAY_LOCATION, dl.toFsName) + dr.setFeatureValue(META_POSITION, GOAL_META_POSITION) + dr.setFeatureValue(META_IS_RANDOM, GOAL_META_IS_RANDOM) + dr + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/PostNuxAlgorithmAdapter.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/PostNuxAlgorithmAdapter.scala new file mode 100644 index 000000000..e8fe745a0 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/PostNuxAlgorithmAdapter.scala @@ -0,0 +1,151 @@ +package com.twitter.follow_recommendations.common.feature_hydration.adapters + +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.Feature +import com.twitter.ml.api.Feature.Continuous +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.ml.api.util.FDsl._ +import com.twitter.ml.featurestore.catalog.features.customer_journey.PostNuxAlgorithmFeatures +import com.twitter.ml.featurestore.catalog.features.customer_journey.PostNuxAlgorithmIdAggregateFeatureGroup +import com.twitter.ml.featurestore.catalog.features.customer_journey.PostNuxAlgorithmTypeAggregateFeatureGroup +import scala.collection.JavaConverters._ + +object PostNuxAlgorithmIdAdapter extends PostNuxAlgorithmAdapter { + override val PostNuxAlgorithmFeatureGroup: PostNuxAlgorithmFeatures = + PostNuxAlgorithmIdAggregateFeatureGroup + + // To keep the length of feature names reasonable, we remove the prefix added by FeatureStore. + override val FeatureStorePrefix: String = + "wtf_algorithm_id.customer_journey.post_nux_algorithm_id_aggregate_feature_group." +} + +object PostNuxAlgorithmTypeAdapter extends PostNuxAlgorithmAdapter { + override val PostNuxAlgorithmFeatureGroup: PostNuxAlgorithmFeatures = + PostNuxAlgorithmTypeAggregateFeatureGroup + + // To keep the length of feature names reasonable, we remove the prefix added by FeatureStore. + override val FeatureStorePrefix: String = + "wtf_algorithm_type.customer_journey.post_nux_algorithm_type_aggregate_feature_group." +} + +trait PostNuxAlgorithmAdapter extends IRecordOneToOneAdapter[DataRecord] { + + val PostNuxAlgorithmFeatureGroup: PostNuxAlgorithmFeatures + + // The string that is attached to the feature name when it is fetched from feature store. + val FeatureStorePrefix: String + + /** + * + * This stores transformed aggregate features for PostNux algorithm aggregate features. The + * transformation here is log-ratio, where ratio is the raw value divided by # of impressions. + */ + case class TransformedAlgorithmFeatures( + ratioLog: Continuous) { + def getFeatures: Seq[Continuous] = Seq(ratioLog) + } + + private def applyFeatureStorePrefix(feature: Continuous) = new Continuous( + s"$FeatureStorePrefix${feature.getFeatureName}") + + // The list of input features WITH the prefix assigned to them by FeatureStore. + lazy val allInputFeatures: Seq[Seq[Continuous]] = Seq( + PostNuxAlgorithmFeatureGroup.Aggregate7DayFeatures.map(applyFeatureStorePrefix), + PostNuxAlgorithmFeatureGroup.Aggregate30DayFeatures.map(applyFeatureStorePrefix) + ) + + // This is a list of the features WITHOUT the prefix assigned to them by FeatureStore. + lazy val outputBaseFeatureNames: Seq[Seq[Continuous]] = Seq( + PostNuxAlgorithmFeatureGroup.Aggregate7DayFeatures, + PostNuxAlgorithmFeatureGroup.Aggregate30DayFeatures + ) + + // We use backend impression to calculate ratio values. + lazy val ratioDenominators: Seq[Continuous] = Seq( + applyFeatureStorePrefix(PostNuxAlgorithmFeatureGroup.BackendImpressions7Days), + applyFeatureStorePrefix(PostNuxAlgorithmFeatureGroup.BackendImpressions30Days) + ) + + /** + * A mapping from an original feature's ID to the corresponding set of transformed features. + * This is used to compute the transformed features for each of the original ones. + */ + private lazy val TransformedFeaturesMap: Map[Continuous, TransformedAlgorithmFeatures] = + outputBaseFeatureNames.flatten.map { feature => + ( + // The input feature would have the FeatureStore prefix attached to it. + new Continuous(s"$FeatureStorePrefix${feature.getFeatureName}"), + // We don't keep the FeatureStore prefix to keep the length of feature names reasonable. + TransformedAlgorithmFeatures( + new Continuous(s"${feature.getFeatureName}-ratio-log") + )) + }.toMap + + /** + * Given a denominator, number of impressions, this function returns another function that adds + * transformed features (log1p and ratio) of an input feature to a DataRecord. + */ + private def addTransformedFeaturesToDataRecordFunc( + originalDr: DataRecord, + numImpressions: Double, + ): (DataRecord, Continuous) => DataRecord = { (record: DataRecord, feature: Continuous) => + { + Option(originalDr.getFeatureValue(feature)) foreach { featureValue => + TransformedFeaturesMap.get(feature).foreach { transformedFeatures => + record.setFeatureValue( + transformedFeatures.ratioLog, + // We don't use log1p here since the values are ratios and adding 1 to the _ratio_ would + // lead to logarithm of values between 1 and 2, essentially making all values the same. + math.log((featureValue + 1) / numImpressions) + ) + } + } + record + } + } + + /** + * @param record: The input record whose PostNuxAlgorithm aggregates are to be transformed. + * @return the input [[DataRecord]] with transformed aggregates added. + */ + override def adaptToDataRecord(record: DataRecord): DataRecord = { + if (record.continuousFeatures == null) { + // There are no base features available, and hence no transformations. + record + } else { + + /** + * The `foldLeft` below goes through pairs of (1) Feature groups, such as those calculated over + * 7 days or 30 days, and (2) the number of impressions for each of these groups, which is the + * denominator when ratio is calculated. + */ + ratioDenominators + .zip(allInputFeatures).foldLeft( /* initial empty DataRecord */ record)( + ( + /* DataRecord with transformed features up to here */ transformedRecord, + /* A tuple with the denominator (#impressions) and features to be transformed */ numImpressionsAndFeatures + ) => { + val (numImpressionsFeature, features) = numImpressionsAndFeatures + Option(record.getFeatureValue(numImpressionsFeature)) match { + case Some(numImpressions) if numImpressions > 0.0 => + /** + * With the number of impressions fixed, we generate a function that adds log-ratio + * for each feature in the current [[DataRecord]]. The `foldLeft` goes through all + * such features and applies that function while updating the kept DataRecord. + */ + features.foldLeft(transformedRecord)( + addTransformedFeaturesToDataRecordFunc(record, numImpressions)) + case _ => + transformedRecord + } + }) + } + } + + def getFeatures: Seq[Feature[_]] = TransformedFeaturesMap.values.flatMap(_.getFeatures).toSeq + + override def getFeatureContext: FeatureContext = + new FeatureContext() + .addFeatures(this.getFeatures.asJava) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/PreFetchedFeatureAdapter.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/PreFetchedFeatureAdapter.scala new file mode 100644 index 000000000..f24ed1efe --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters/PreFetchedFeatureAdapter.scala @@ -0,0 +1,91 @@ +package com.twitter.follow_recommendations.common.feature_hydration.adapters + +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.ml.api.Feature.Continuous +import com.twitter.ml.api.util.FDsl._ +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.util.Time + +/** + * This adapter mimics UserRecentWTFImpressionsAndFollowsAdapter (for user) and + * RecentWTFImpressionsFeatureAdapter (for candidate) for extracting recent impression + * and follow features. This adapter extracts user, candidate, and pair-wise features. + */ +object PreFetchedFeatureAdapter + extends IRecordOneToOneAdapter[ + (HasPreFetchedFeature, CandidateUser) + ] { + + // impression features + val USER_NUM_RECENT_IMPRESSIONS: Continuous = new Continuous( + "user.prefetch.num_recent_impressions" + ) + val USER_LAST_IMPRESSION_DURATION: Continuous = new Continuous( + "user.prefetch.last_impression_duration" + ) + val CANDIDATE_NUM_RECENT_IMPRESSIONS: Continuous = new Continuous( + "user-candidate.prefetch.num_recent_impressions" + ) + val CANDIDATE_LAST_IMPRESSION_DURATION: Continuous = new Continuous( + "user-candidate.prefetch.last_impression_duration" + ) + // follow features + val USER_NUM_RECENT_FOLLOWERS: Continuous = new Continuous( + "user.prefetch.num_recent_followers" + ) + val USER_NUM_RECENT_FOLLOWED_BY: Continuous = new Continuous( + "user.prefetch.num_recent_followed_by" + ) + val USER_NUM_RECENT_MUTUAL_FOLLOWS: Continuous = new Continuous( + "user.prefetch.num_recent_mutual_follows" + ) + // impression + follow features + val USER_NUM_RECENT_FOLLOWED_IMPRESSIONS: Continuous = new Continuous( + "user.prefetch.num_recent_followed_impression" + ) + val USER_LAST_FOLLOWED_IMPRESSION_DURATION: Continuous = new Continuous( + "user.prefetch.last_followed_impression_duration" + ) + + override def adaptToDataRecord( + record: (HasPreFetchedFeature, CandidateUser) + ): DataRecord = { + val (target, candidate) = record + val dr = new DataRecord() + val t = Time.now + // set impression features for user, optionally for candidate + dr.setFeatureValue(USER_NUM_RECENT_IMPRESSIONS, target.numWtfImpressions.toDouble) + dr.setFeatureValue( + USER_LAST_IMPRESSION_DURATION, + (t - target.latestImpressionTime).inMillis.toDouble) + target.getCandidateImpressionCounts(candidate.id).foreach { counts => + dr.setFeatureValue(CANDIDATE_NUM_RECENT_IMPRESSIONS, counts.toDouble) + } + target.getCandidateLatestTime(candidate.id).foreach { latestTime: Time => + dr.setFeatureValue(CANDIDATE_LAST_IMPRESSION_DURATION, (t - latestTime).inMillis.toDouble) + } + // set recent follow features for user + dr.setFeatureValue(USER_NUM_RECENT_FOLLOWERS, target.numRecentFollowedUserIds.toDouble) + dr.setFeatureValue(USER_NUM_RECENT_FOLLOWED_BY, target.numRecentFollowedByUserIds.toDouble) + dr.setFeatureValue(USER_NUM_RECENT_MUTUAL_FOLLOWS, target.numRecentMutualFollows.toDouble) + dr.setFeatureValue(USER_NUM_RECENT_FOLLOWED_IMPRESSIONS, target.numFollowedImpressions.toDouble) + dr.setFeatureValue( + USER_LAST_FOLLOWED_IMPRESSION_DURATION, + target.lastFollowedImpressionDurationMs.getOrElse(Long.MaxValue).toDouble) + dr + } + override def getFeatureContext: FeatureContext = new FeatureContext( + USER_NUM_RECENT_IMPRESSIONS, + USER_LAST_IMPRESSION_DURATION, + CANDIDATE_NUM_RECENT_IMPRESSIONS, + CANDIDATE_LAST_IMPRESSION_DURATION, + USER_NUM_RECENT_FOLLOWERS, + USER_NUM_RECENT_FOLLOWED_BY, + USER_NUM_RECENT_MUTUAL_FOLLOWS, + USER_NUM_RECENT_FOLLOWED_IMPRESSIONS, + USER_LAST_FOLLOWED_IMPRESSION_DURATION, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/BUILD new file mode 100644 index 000000000..93ddb1191 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/BUILD @@ -0,0 +1,18 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "src/java/com/twitter/ml/api:api-base", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/FeatureSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/FeatureSource.scala new file mode 100644 index 000000000..9d43f0c13 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/FeatureSource.scala @@ -0,0 +1,23 @@ +package com.twitter.follow_recommendations.common.feature_hydration.common + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +trait FeatureSource { + def id: FeatureSourceId + def featureContext: FeatureContext + def hydrateFeatures( + target: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/FeatureSourceId.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/FeatureSourceId.scala new file mode 100644 index 000000000..66b883120 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/FeatureSourceId.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.common.feature_hydration.common + +sealed trait FeatureSourceId + +object FeatureSourceId { + object CandidateAlgorithmSourceId extends FeatureSourceId + object ClientContextSourceId extends FeatureSourceId + object FeatureStoreSourceId extends FeatureSourceId + object FeatureStoreTimelinesAuthorSourceId extends FeatureSourceId + object FeatureStoreGizmoduckSourceId extends FeatureSourceId + object FeatureStoreUserMetricCountsSourceId extends FeatureSourceId + object FeatureStoreNotificationSourceId extends FeatureSourceId + + object FeatureStorePrecomputedNotificationSourceId extends FeatureSourceId + object FeatureStorePostNuxAlgorithmSourceId extends FeatureSourceId + @deprecated object StratoFeatureHydrationSourceId extends FeatureSourceId + object PreFetchedFeatureSourceId extends FeatureSourceId + object UserScoringFeatureSourceId extends FeatureSourceId +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/HasPreFetchedFeature.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/HasPreFetchedFeature.scala new file mode 100644 index 000000000..8f4bae887 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common/HasPreFetchedFeature.scala @@ -0,0 +1,25 @@ +package com.twitter.follow_recommendations.common.feature_hydration.common + +import com.twitter.follow_recommendations.common.models.HasMutualFollowedUserIds +import com.twitter.follow_recommendations.common.models.HasWtfImpressions +import com.twitter.follow_recommendations.common.models.WtfImpression +import com.twitter.util.Time + +trait HasPreFetchedFeature extends HasMutualFollowedUserIds with HasWtfImpressions { + + lazy val followedImpressions: Seq[WtfImpression] = { + for { + wtfImprList <- wtfImpressions.toSeq + wtfImpr <- wtfImprList + if recentFollowedUserIds.exists(_.contains(wtfImpr.candidateId)) + } yield wtfImpr + } + + lazy val numFollowedImpressions: Int = followedImpressions.size + + lazy val lastFollowedImpressionDurationMs: Option[Long] = { + if (followedImpressions.nonEmpty) { + Some((Time.now - followedImpressions.map(_.latestTime).max).inMillis) + } else None + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/BUILD new file mode 100644 index 000000000..c0538240f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/BUILD @@ -0,0 +1,59 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "escherbird/src/scala/com/twitter/escherbird/util/stitchcache", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/adapters", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/constants", + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/featurestore/catalog/datasets/core:socialgraph", + "src/scala/com/twitter/ml/featurestore/catalog/datasets/core:usersource", + "src/scala/com/twitter/ml/featurestore/catalog/datasets/onboarding:mc-user-counting", + "src/scala/com/twitter/ml/featurestore/catalog/datasets/onboarding:user-wtf-algorithm-aggregate", + "src/scala/com/twitter/ml/featurestore/catalog/datasets/onboarding:wtf-impression", + "src/scala/com/twitter/ml/featurestore/catalog/datasets/onboarding:wtf-post-nux", + "src/scala/com/twitter/ml/featurestore/catalog/datasets/onboarding:wtf-user-algorithm-aggregate", + "src/scala/com/twitter/ml/featurestore/catalog/datasets/timelines:timelines-author-features", + "src/scala/com/twitter/ml/featurestore/catalog/entities/core", + "src/scala/com/twitter/ml/featurestore/catalog/entities/onboarding", + "src/scala/com/twitter/ml/featurestore/catalog/features/core:socialgraph", + "src/scala/com/twitter/ml/featurestore/catalog/features/core:user", + "src/scala/com/twitter/ml/featurestore/catalog/features/interests_discovery:user-topic-relationships", + "src/scala/com/twitter/ml/featurestore/catalog/features/magicrecs:non-mr-notif-summmaries", + "src/scala/com/twitter/ml/featurestore/catalog/features/magicrecs:non-mr-notif-summmary-aggregates", + "src/scala/com/twitter/ml/featurestore/catalog/features/magicrecs:nonmr-ntab-summaries", + "src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:mc-user-counting", + "src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:post-nux-offline", + "src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:post-nux-offline-edge", + "src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:ratio", + "src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:simcluster-user-interested-in-candidate-known-for", + "src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:user-wtf-algorithm-aggregate", + "src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:wtf-impression", + "src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:wtf-user-algorithm-aggregate", + "src/scala/com/twitter/ml/featurestore/catalog/features/rux:user-resurrection", + "src/scala/com/twitter/ml/featurestore/catalog/features/timelines:aggregate", + "src/scala/com/twitter/ml/featurestore/lib", + "src/scala/com/twitter/ml/featurestore/lib/dynamic", + "src/scala/com/twitter/ml/featurestore/lib/embedding", + "src/scala/com/twitter/ml/featurestore/lib/feature", + "src/scala/com/twitter/ml/featurestore/lib/online", + "src/scala/com/twitter/ml/featurestore/lib/params", + "src/scala/com/twitter/onboarding/relevance/adapters/features/featurestore", + "strato/config/columns/ml/featureStore:featureStore-strato-client", + "strato/config/columns/ml/featureStore/onboarding:onboarding-strato-client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/CandidateAlgorithmSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/CandidateAlgorithmSource.scala new file mode 100644 index 000000000..0838fb98d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/CandidateAlgorithmSource.scala @@ -0,0 +1,73 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.google.inject.Inject +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.feature_hydration.adapters.CandidateAlgorithmAdapter +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +/** + * This source only takes features from the candidate's source, + * which is all the information we have about the candidate pre-feature-hydration + */ + +@Provides +@Singleton +class CandidateAlgorithmSource @Inject() (stats: StatsReceiver) extends FeatureSource { + + override val id: FeatureSourceId = FeatureSourceId.CandidateAlgorithmSourceId + + override val featureContext: FeatureContext = CandidateAlgorithmAdapter.getFeatureContext + + override def hydrateFeatures( + t: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, // we don't use the target here + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + val featureHydrationStats = stats.scope("candidate_alg_source") + val hasSourceDetailsStat = featureHydrationStats.counter("has_source_details") + val noSourceDetailsStat = featureHydrationStats.counter("no_source_details") + val noSourceRankStat = featureHydrationStats.counter("no_source_rank") + val hasSourceRankStat = featureHydrationStats.counter("has_source_rank") + val noSourceScoreStat = featureHydrationStats.counter("no_source_score") + val hasSourceScoreStat = featureHydrationStats.counter("has_source_score") + + val candidatesToAlgoMap = for { + candidate <- candidates + } yield { + if (candidate.userCandidateSourceDetails.nonEmpty) { + hasSourceDetailsStat.incr() + candidate.userCandidateSourceDetails.foreach { details => + if (details.candidateSourceRanks.isEmpty) { + noSourceRankStat.incr() + } else { + hasSourceRankStat.incr() + } + if (details.candidateSourceScores.isEmpty) { + noSourceScoreStat.incr() + } else { + hasSourceScoreStat.incr() + } + } + } else { + noSourceDetailsStat.incr() + } + candidate -> CandidateAlgorithmAdapter.adaptToDataRecord(candidate.userCandidateSourceDetails) + } + Stitch.value(candidatesToAlgoMap.toMap) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/ClientContextSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/ClientContextSource.scala new file mode 100644 index 000000000..718502d44 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/ClientContextSource.scala @@ -0,0 +1,43 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.feature_hydration.adapters.ClientContextAdapter +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +/** + * This source only takes features from the request (e.g. client context, WTF display location) + * No external calls are made. + */ +@Provides +@Singleton +class ClientContextSource() extends FeatureSource { + + override val id: FeatureSourceId = FeatureSourceId.ClientContextSourceId + + override val featureContext: FeatureContext = ClientContextAdapter.getFeatureContext + + override def hydrateFeatures( + t: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + Stitch.value( + candidates + .map(_ -> ((t.clientContext, t.displayLocation))).toMap.mapValues( + ClientContextAdapter.adaptToDataRecord)) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureHydrationSourcesFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureHydrationSourcesFSConfig.scala new file mode 100644 index 000000000..f78ec17cc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureHydrationSourcesFSConfig.scala @@ -0,0 +1,42 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class FeatureHydrationSourcesFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = Seq( + FeatureStoreSourceParams.EnableAlgorithmAggregateFeatures, + FeatureStoreSourceParams.EnableAuthorTopicAggregateFeatures, + FeatureStoreSourceParams.EnableCandidateClientFeatures, + FeatureStoreSourceParams.EnableCandidatePrecomputedNotificationFeatures, + FeatureStoreSourceParams.EnableCandidateUserAuthorRealTimeAggregateFeatures, + FeatureStoreSourceParams.EnableCandidateUserFeatures, + FeatureStoreSourceParams.EnableCandidateUserResurrectionFeatures, + FeatureStoreSourceParams.EnableCandidateUserTimelinesAuthorAggregateFeatures, + FeatureStoreSourceParams.EnableSeparateClientForTimelinesAuthors, + FeatureStoreSourceParams.EnableSeparateClientForGizmoduck, + FeatureStoreSourceParams.EnableSeparateClientForMetricCenterUserCounting, + FeatureStoreSourceParams.EnableSeparateClientForNotifications, + FeatureStoreSourceParams.EnableSimilarToUserFeatures, + FeatureStoreSourceParams.EnableTargetUserFeatures, + FeatureStoreSourceParams.EnableTargetUserResurrectionFeatures, + FeatureStoreSourceParams.EnableTargetUserWtfImpressionFeatures, + FeatureStoreSourceParams.EnableTopicAggregateFeatures, + FeatureStoreSourceParams.EnableUserCandidateEdgeFeatures, + FeatureStoreSourceParams.EnableUserCandidateWtfImpressionCandidateFeatures, + FeatureStoreSourceParams.EnableUserClientFeatures, + FeatureStoreSourceParams.EnableUserTopicFeatures, + FeatureStoreSourceParams.EnableUserWtfAlgEdgeFeatures, + ) + + override val durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = Seq( + FeatureStoreSourceParams.GlobalFetchTimeout + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureHydrationSourcesFeatureSwitchKeys.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureHydrationSourcesFeatureSwitchKeys.scala new file mode 100644 index 000000000..fb2232927 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureHydrationSourcesFeatureSwitchKeys.scala @@ -0,0 +1,42 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +object FeatureHydrationSourcesFeatureSwitchKeys { + val EnableAlgorithmAggregateFeatures = "feature_store_source_enable_algorithm_aggregate_features" + val EnableAuthorTopicAggregateFeatures = + "feature_store_source_enable_author_topic_aggregate_features" + val EnableCandidateClientFeatures = "feature_store_source_enable_candidate_client_features" + val EnableCandidateNotificationFeatures = + "feature_store_source_enable_candidate_notification_features" + val EnableCandidatePrecomputedNotificationFeatures = + "feature_store_source_enable_candidate_precomputed_notification_features" + val EnableCandidateUserFeatures = "feature_store_source_enable_candidate_user_features" + val EnableCandidateUserAuthorRealTimeAggregateFeatures = + "feature_store_source_enable_candidate_user_author_rta_features" + val EnableCandidateUserResurrectionFeatures = + "feature_store_source_enable_candidate_user_resurrection_features" + val EnableCandidateUserTimelinesAuthorAggregateFeatures = + "feature_store_source_enable_candidate_user_timelines_author_aggregate_features" + val EnableSimilarToUserFeatures = "feature_store_source_enable_similar_to_user_features" + val EnableTargetUserFeatures = "feature_store_source_enable_target_user_features" + val EnableTargetUserUserAuthorUserStateRealTimeAggregatesFeature = + "feature_store_source_enable_target_user_user_author_user_state_rta_features" + val EnableTargetUserResurrectionFeatures = + "feature_store_source_enable_target_user_resurrection_features" + val EnableTargetUserWtfImpressionFeatures = + "feature_store_source_enable_target_user_wtf_impression_features" + val EnableTopicAggregateFeatures = "feature_store_source_enable_topic_aggregate_features" + val EnableUserCandidateEdgeFeatures = "feature_store_source_enable_user_candidate_edge_features" + val EnableUserCandidateWtfImpressionCandidateFeatures = + "feature_store_source_enable_user_candidate_wtf_impression_features" + val EnableUserClientFeatures = "feature_store_source_enable_user_client_features" + val EnableUserNotificationFeatures = "feature_store_source_enable_user_notification_features" + val EnableUserTopicFeatures = "feature_store_source_enable_user_topic_features" + val EnableUserWtfAlgEdgeFeatures = "feature_store_source_enable_user_wtf_alg_edge_features" + val FeatureHydrationTimeout = "feature_store_source_hydration_timeout_in_millis" + val UseSeparateClientForTimelinesAuthor = + "feature_store_source_separate_client_for_timelines_author_data" + val UseSeparateClientMetricCenterUserCounting = + "feature_store_source_separate_client_for_mc_user_counting_data" + val UseSeparateClientForNotifications = "feature_store_source_separate_client_for_notifications" + val UseSeparateClientForGizmoduck = "feature_store_source_separate_client_for_gizmoduck" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreFeatures.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreFeatures.scala new file mode 100644 index 000000000..6c849f7a7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreFeatures.scala @@ -0,0 +1,342 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.featurestore.catalog.entities.core.{Author => AuthorEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{AuthorTopic => AuthorTopicEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{CandidateUser => CandidateUserEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{Topic => TopicEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{User => UserEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{UserCandidate => UserCandidateEntity} +import com.twitter.ml.featurestore.catalog.entities.onboarding.UserWtfAlgorithmEntity +import com.twitter.ml.featurestore.catalog.entities.onboarding.{ + WtfAlgorithm => WtfAlgorithmIdEntity +} +import com.twitter.ml.featurestore.catalog.entities.onboarding.{ + WtfAlgorithmType => WtfAlgorithmTypeEntity +} +import com.twitter.ml.featurestore.catalog.features.core.UserClients.FullPrimaryClientVersion +import com.twitter.ml.featurestore.catalog.features.core.UserClients.NumClients +import com.twitter.ml.featurestore.catalog.features.core.UserClients.PrimaryClient +import com.twitter.ml.featurestore.catalog.features.core.UserClients.PrimaryClientVersion +import com.twitter.ml.featurestore.catalog.features.core.UserClients.PrimaryDeviceManufacturer +import com.twitter.ml.featurestore.catalog.features.core.UserClients.PrimaryMobileSdkVersion +import com.twitter.ml.featurestore.catalog.features.core.UserClients.SecondaryClient +import com.twitter.ml.featurestore.catalog.features.core.UserCounts.Favorites +import com.twitter.ml.featurestore.catalog.features.core.UserCounts.Followers +import com.twitter.ml.featurestore.catalog.features.core.UserCounts.Following +import com.twitter.ml.featurestore.catalog.features.core.UserCounts.Tweets +import com.twitter.ml.featurestore.catalog.features.customer_journey.PostNuxAlgorithmIdAggregateFeatureGroup +import com.twitter.ml.featurestore.catalog.features.customer_journey.PostNuxAlgorithmTypeAggregateFeatureGroup +import com.twitter.ml.featurestore.catalog.features.customer_journey.{Utils => FeatureGroupUtils} +import com.twitter.ml.featurestore.catalog.features.interests_discovery.UserTopicRelationships.FollowedTopics +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumFavorites +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumFavoritesReceived +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumFollowBacks +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumFollows +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumFollowsReceived +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumLoginDays +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumLoginTweetImpressions +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumMuteBacks +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumMuted +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumOriginalTweets +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumQualityFollowReceived +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumQuoteRetweets +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumQuoteRetweetsReceived +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumReplies +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumRepliesReceived +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumRetweets +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumRetweetsReceived +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumSpamBlocked +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumSpamBlockedBacks +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumTweetImpressions +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumTweets +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumUnfollowBacks +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumUnfollows +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumUserActiveMinutes +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumWasMutualFollowed +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumWasMutualUnfollowed +import com.twitter.ml.featurestore.catalog.features.onboarding.MetricCenterUserCounts.NumWasUnfollowed +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.Country +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.FollowersOverFollowingRatio +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.Language +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.MutualFollowsOverFollowersRatio +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.MutualFollowsOverFollowingRatio +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.NumFollowers +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.NumFollowings +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.NumMutualFollows +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.TweepCred +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOffline.UserState +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOfflineEdge.HaveSameCountry +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOfflineEdge.HaveSameLanguage +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOfflineEdge.HaveSameUserState +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOfflineEdge.NumFollowersGap +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOfflineEdge.NumFollowingsGap +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOfflineEdge.NumMutualFollowsGap +import com.twitter.ml.featurestore.catalog.features.onboarding.PostNuxOfflineEdge.TweepCredGap +import com.twitter.ml.featurestore.catalog.features.onboarding.Ratio.FollowersFollowings +import com.twitter.ml.featurestore.catalog.features.onboarding.Ratio.MutualFollowsFollowing +import com.twitter.ml.featurestore.catalog.features.onboarding.SimclusterUserInterestedInCandidateKnownFor.HasIntersection +import com.twitter.ml.featurestore.catalog.features.onboarding.SimclusterUserInterestedInCandidateKnownFor.IntersectionCandidateKnownForScore +import com.twitter.ml.featurestore.catalog.features.onboarding.SimclusterUserInterestedInCandidateKnownFor.IntersectionClusterIds +import com.twitter.ml.featurestore.catalog.features.onboarding.SimclusterUserInterestedInCandidateKnownFor.IntersectionUserFavCandidateKnownForScore +import com.twitter.ml.featurestore.catalog.features.onboarding.SimclusterUserInterestedInCandidateKnownFor.IntersectionUserFavScore +import com.twitter.ml.featurestore.catalog.features.onboarding.SimclusterUserInterestedInCandidateKnownFor.IntersectionUserFollowCandidateKnownForScore +import com.twitter.ml.featurestore.catalog.features.onboarding.SimclusterUserInterestedInCandidateKnownFor.IntersectionUserFollowScore +import com.twitter.ml.featurestore.catalog.features.onboarding.UserWtfAlgorithmAggregate +import com.twitter.ml.featurestore.catalog.features.onboarding.WhoToFollowImpression.HomeTimelineWtfCandidateCounts +import com.twitter.ml.featurestore.catalog.features.onboarding.WhoToFollowImpression.HomeTimelineWtfCandidateImpressionCounts +import com.twitter.ml.featurestore.catalog.features.onboarding.WhoToFollowImpression.HomeTimelineWtfCandidateImpressionLatestTimestamp +import com.twitter.ml.featurestore.catalog.features.onboarding.WhoToFollowImpression.HomeTimelineWtfLatestTimestamp +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.FollowRate +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.Follows +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.FollowsTweetFavRate +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.FollowsTweetReplies +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.FollowsTweetReplyRate +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.FollowsTweetRetweetRate +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.FollowsTweetRetweets +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.FollowsWithTweetFavs +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.FollowsWithTweetImpressions +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.HasAnyEngagements +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.HasForwardEngagements +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.HasReverseEngagements +import com.twitter.ml.featurestore.catalog.features.onboarding.WtfUserAlgorithmAggregate.Impressions +import com.twitter.ml.featurestore.catalog.features.rux.UserResurrection.DaysSinceRecentResurrection +import com.twitter.ml.featurestore.catalog.features.timelines.AuthorTopicAggregates +import com.twitter.ml.featurestore.catalog.features.timelines.EngagementsReceivedByAuthorRealTimeAggregates +import com.twitter.ml.featurestore.catalog.features.timelines.NegativeEngagementsReceivedByAuthorRealTimeAggregates +import com.twitter.ml.featurestore.catalog.features.timelines.OriginalAuthorAggregates +import com.twitter.ml.featurestore.catalog.features.timelines.TopicEngagementRealTimeAggregates +import com.twitter.ml.featurestore.catalog.features.timelines.TopicEngagementUserStateRealTimeAggregates +import com.twitter.ml.featurestore.catalog.features.timelines.TopicNegativeEngagementUserStateRealTimeAggregates +import com.twitter.ml.featurestore.catalog.features.timelines.UserEngagementAuthorUserStateRealTimeAggregates +import com.twitter.ml.featurestore.catalog.features.timelines.UserNegativeEngagementAuthorUserStateRealTimeAggregates +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.ml.featurestore.lib.feature.BoundFeature +import com.twitter.ml.featurestore.lib.feature.Feature + +object FeatureStoreFeatures { + import FeatureStoreRawFeatures._ + ///////////////////////////// Target user features //////////////////////// + val targetUserFeatures: Set[BoundFeature[_ <: EntityId, _]] = + (userKeyedFeatures ++ userAlgorithmAggregateFeatures).map(_.bind(UserEntity)) + + val targetUserResurrectionFeatures: Set[BoundFeature[_ <: EntityId, _]] = + userResurrectionFeatures.map(_.bind(UserEntity)) + val targetUserWtfImpressionFeatures: Set[BoundFeature[_ <: EntityId, _]] = + wtfImpressionUserFeatures.map(_.bind(UserEntity)) + val targetUserUserAuthorUserStateRealTimeAggregatesFeature: Set[BoundFeature[_ <: EntityId, _]] = + userAuthorUserStateRealTimeAggregatesFeature.map(_.bind(UserEntity)) + + val targetUserStatusFeatures: Set[BoundFeature[_ <: EntityId, _]] = + userStatusFeatures.map(_.bind(UserEntity).logarithm1p) + val targetUserMetricCountFeatures: Set[BoundFeature[_ <: EntityId, _]] = + mcFeatures.map(_.bind(UserEntity).logarithm1p) + + val targetUserClientFeatures: Set[BoundFeature[_ <: EntityId, _]] = + clientFeatures.map(_.bind(UserEntity)) + + ///////////////////////////// Candidate user features //////////////////////// + val candidateUserFeatures: Set[BoundFeature[_ <: EntityId, _]] = + userKeyedFeatures.map(_.bind(CandidateUserEntity)) + val candidateUserAuthorRealTimeAggregateFeatures: Set[BoundFeature[_ <: EntityId, _]] = + authorAggregateFeatures.map(_.bind(CandidateUserEntity)) + val candidateUserResurrectionFeatures: Set[BoundFeature[_ <: EntityId, _]] = + userResurrectionFeatures.map(_.bind(CandidateUserEntity)) + + val candidateUserStatusFeatures: Set[BoundFeature[_ <: EntityId, _]] = + userStatusFeatures.map(_.bind(CandidateUserEntity).logarithm1p) + val candidateUserTimelinesAuthorAggregateFeatures: Set[BoundFeature[_ <: EntityId, _]] = + Set(timelinesAuthorAggregateFeatures.bind(CandidateUserEntity)) + val candidateUserMetricCountFeatures: Set[BoundFeature[_ <: EntityId, _]] = + mcFeatures.map(_.bind(CandidateUserEntity).logarithm1p) + + val candidateUserClientFeatures: Set[BoundFeature[_ <: EntityId, _]] = + clientFeatures.map(_.bind(CandidateUserEntity)) + + val similarToUserFeatures: Set[BoundFeature[_ <: EntityId, _]] = + (userKeyedFeatures ++ authorAggregateFeatures).map(_.bind(AuthorEntity)) + + val similarToUserStatusFeatures: Set[BoundFeature[_ <: EntityId, _]] = + userStatusFeatures.map(_.bind(AuthorEntity).logarithm1p) + val similarToUserTimelinesAuthorAggregateFeatures: Set[BoundFeature[_ <: EntityId, _]] = + Set(timelinesAuthorAggregateFeatures.bind(AuthorEntity)) + val similarToUserMetricCountFeatures: Set[BoundFeature[_ <: EntityId, _]] = + mcFeatures.map(_.bind(AuthorEntity).logarithm1p) + + val userCandidateEdgeFeatures: Set[BoundFeature[_ <: EntityId, _]] = + (simclusterUVIntersectionFeatures ++ userCandidatePostNuxEdgeFeatures).map( + _.bind(UserCandidateEntity)) + val userCandidateWtfImpressionCandidateFeatures: Set[BoundFeature[_ <: EntityId, _]] = + wtfImpressionCandidateFeatures.map(_.bind(UserCandidateEntity)) + + /** + * Aggregate features based on candidate source algorithms. + */ + val postNuxAlgorithmIdAggregateFeatures: Set[BoundFeature[_ <: EntityId, _]] = + Set(PostNuxAlgorithmIdAggregateFeatureGroup.FeaturesAsDataRecord) + .map(_.bind(WtfAlgorithmIdEntity)) + + /** + * Aggregate features based on candidate source algorithm types. There are 4 at the moment: + * Geo, Social, Activity and Interest. + */ + val postNuxAlgorithmTypeAggregateFeatures: Set[BoundFeature[_ <: EntityId, _]] = + Set(PostNuxAlgorithmTypeAggregateFeatureGroup.FeaturesAsDataRecord) + .map(_.bind(WtfAlgorithmTypeEntity)) + + // user wtf-Algorithm features + val userWtfAlgorithmEdgeFeatures: Set[BoundFeature[_ <: EntityId, _]] = + FeatureGroupUtils.getTimelinesAggregationFrameworkCombinedFeatures( + UserWtfAlgorithmAggregate, + UserWtfAlgorithmEntity, + FeatureGroupUtils.getMaxSumAvgAggregate(UserWtfAlgorithmAggregate) + ) + + /** + * We have to add the max/sum/avg-aggregated features to the set of all features so that we can + * register them using FRS's [[FrsFeatureJsonExporter]]. + * + * Any additional such aggregated features that are included in [[FeatureStoreSource]] client + * should be registered here as well. + */ + val maxSumAvgAggregatedFeatureContext: FeatureContext = new FeatureContext() + .addFeatures( + UserWtfAlgorithmAggregate.getSecondaryAggregatedFeatureContext + ) + + // topic features + val topicAggregateFeatures: Set[BoundFeature[_ <: EntityId, _]] = Set( + TopicEngagementRealTimeAggregates.FeaturesAsDataRecord, + TopicNegativeEngagementUserStateRealTimeAggregates.FeaturesAsDataRecord, + TopicEngagementUserStateRealTimeAggregates.FeaturesAsDataRecord + ).map(_.bind(TopicEntity)) + val userTopicFeatures: Set[BoundFeature[_ <: EntityId, _]] = Set(FollowedTopics.bind(UserEntity)) + val authorTopicFeatures: Set[BoundFeature[_ <: EntityId, _]] = Set( + AuthorTopicAggregates.FeaturesAsDataRecord.bind(AuthorTopicEntity)) + val topicFeatures = topicAggregateFeatures ++ userTopicFeatures ++ authorTopicFeatures + +} + +object FeatureStoreRawFeatures { + val mcFeatures = Set( + NumTweets, + NumRetweets, + NumOriginalTweets, + NumRetweetsReceived, + NumFavoritesReceived, + NumRepliesReceived, + NumQuoteRetweetsReceived, + NumFollowsReceived, + NumFollowBacks, + NumFollows, + NumUnfollows, + NumUnfollowBacks, + NumQualityFollowReceived, + NumQuoteRetweets, + NumFavorites, + NumReplies, + NumLoginTweetImpressions, + NumTweetImpressions, + NumLoginDays, + NumUserActiveMinutes, + NumMuted, + NumSpamBlocked, + NumMuteBacks, + NumSpamBlockedBacks, + NumWasMutualFollowed, + NumWasMutualUnfollowed, + NumWasUnfollowed + ) + // based off usersource, and each feature represents the cumulative 'sent' counts + val userStatusFeatures = Set( + Favorites, + Followers, + Following, + Tweets + ) + // ratio features created from combining other features + val userRatioFeatures = Set(MutualFollowsFollowing, FollowersFollowings) + // features related to user login history + val userResurrectionFeatures: Set[Feature[UserId, Int]] = Set( + DaysSinceRecentResurrection + ) + + // real-time aggregate features borrowed from timelines + val authorAggregateFeatures = Set( + EngagementsReceivedByAuthorRealTimeAggregates.FeaturesAsDataRecord, + NegativeEngagementsReceivedByAuthorRealTimeAggregates.FeaturesAsDataRecord, + ) + + val timelinesAuthorAggregateFeatures = OriginalAuthorAggregates.FeaturesAsDataRecord + + val userAuthorUserStateRealTimeAggregatesFeature: Set[Feature[UserId, DataRecord]] = Set( + UserEngagementAuthorUserStateRealTimeAggregates.FeaturesAsDataRecord, + UserNegativeEngagementAuthorUserStateRealTimeAggregates.FeaturesAsDataRecord + ) + // post nux per-user offline features + val userOfflineFeatures = Set( + NumFollowings, + NumFollowers, + NumMutualFollows, + TweepCred, + UserState, + Language, + Country, + MutualFollowsOverFollowingRatio, + MutualFollowsOverFollowersRatio, + FollowersOverFollowingRatio, + ) + // matched post nux offline features between user and candidate + val userCandidatePostNuxEdgeFeatures = Set( + HaveSameUserState, + HaveSameLanguage, + HaveSameCountry, + NumFollowingsGap, + NumFollowersGap, + NumMutualFollowsGap, + TweepCredGap, + ) + // user algorithm aggregate features + val userAlgorithmAggregateFeatures = Set( + Impressions, + Follows, + FollowRate, + FollowsWithTweetImpressions, + FollowsWithTweetFavs, + FollowsTweetFavRate, + FollowsTweetReplies, + FollowsTweetReplyRate, + FollowsTweetRetweets, + FollowsTweetRetweetRate, + HasForwardEngagements, + HasReverseEngagements, + HasAnyEngagements, + ) + val userKeyedFeatures = userRatioFeatures ++ userOfflineFeatures + val wtfImpressionUserFeatures = + Set(HomeTimelineWtfCandidateCounts, HomeTimelineWtfLatestTimestamp) + val wtfImpressionCandidateFeatures = + Set(HomeTimelineWtfCandidateImpressionCounts, HomeTimelineWtfCandidateImpressionLatestTimestamp) + val simclusterUVIntersectionFeatures = Set( + IntersectionClusterIds, + HasIntersection, + IntersectionUserFollowScore, + IntersectionUserFavScore, + IntersectionCandidateKnownForScore, + IntersectionUserFollowCandidateKnownForScore, + IntersectionUserFavCandidateKnownForScore + ) + + // Client features + val clientFeatures = Set( + NumClients, + PrimaryClient, + PrimaryClientVersion, + FullPrimaryClientVersion, + PrimaryDeviceManufacturer, + PrimaryMobileSdkVersion, + SecondaryClient + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreGizmoduckSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreGizmoduckSource.scala new file mode 100644 index 000000000..bb6b58857 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreGizmoduckSource.scala @@ -0,0 +1,188 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.github.benmanes.caffeine.cache.Caffeine +import com.google.inject.Inject +import com.twitter.finagle.TimeoutException +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.adaptAdditionalFeaturesToDataRecord +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.randomizedTTL +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.ml.featurestore.catalog.datasets.core.UsersourceEntityDataset +import com.twitter.ml.featurestore.catalog.entities.core.{Author => AuthorEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{AuthorTopic => AuthorTopicEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{CandidateUser => CandidateUserEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{User => UserEntity} +import com.twitter.ml.featurestore.lib.EdgeEntityId +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.ml.featurestore.lib.TopicId +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.ml.featurestore.lib.data.PredictionRecord +import com.twitter.ml.featurestore.lib.data.PredictionRecordAdapter +import com.twitter.ml.featurestore.lib.dataset.DatasetId +import com.twitter.ml.featurestore.lib.dataset.online.Hydrator.HydrationResponse +import com.twitter.ml.featurestore.lib.dataset.online.OnlineAccessDataset +import com.twitter.ml.featurestore.lib.dynamic.ClientConfig +import com.twitter.ml.featurestore.lib.dynamic.DynamicFeatureStoreClient +import com.twitter.ml.featurestore.lib.dynamic.DynamicHydrationConfig +import com.twitter.ml.featurestore.lib.dynamic.FeatureStoreParamsConfig +import com.twitter.ml.featurestore.lib.dynamic.GatedFeatures +import com.twitter.ml.featurestore.lib.feature.BoundFeature +import com.twitter.ml.featurestore.lib.feature.BoundFeatureSet +import com.twitter.ml.featurestore.lib.online.DatasetValuesCache +import com.twitter.ml.featurestore.lib.online.FeatureStoreRequest +import com.twitter.ml.featurestore.lib.online.OnlineFeatureGenerationStats +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import java.util.concurrent.TimeUnit +import com.twitter.conversions.DurationOps._ +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext + +class FeatureStoreGizmoduckSource @Inject() ( + serviceIdentifier: ServiceIdentifier, + stats: StatsReceiver) + extends FeatureSource { + import FeatureStoreGizmoduckSource._ + + val backupSourceStats = stats.scope("feature_store_hydration_gizmoduck") + val adapterStats = backupSourceStats.scope("adapters") + override def id: FeatureSourceId = FeatureSourceId.FeatureStoreGizmoduckSourceId + override def featureContext: FeatureContext = getFeatureContext + + val clientConfig: ClientConfig[HasParams] = ClientConfig( + dynamicHydrationConfig = dynamicHydrationConfig, + featureStoreParamsConfig = + FeatureStoreParamsConfig(FeatureStoreParameters.featureStoreParams, Map.empty), + /** + * The smaller one between `timeoutProvider` and `FeatureStoreSourceParams.GlobalFetchTimeout` + * used below takes effect. + */ + timeoutProvider = Function.const(800.millis), + serviceIdentifier = serviceIdentifier + ) + + private val datasetsToCache = Set( + UsersourceEntityDataset + ).asInstanceOf[Set[OnlineAccessDataset[_ <: EntityId, _]]] + + private val datasetValuesCache: DatasetValuesCache = + DatasetValuesCache( + Caffeine + .newBuilder() + .expireAfterWrite(randomizedTTL(12.hours.inSeconds), TimeUnit.SECONDS) + .maximumSize(DefaultCacheMaxKeys) + .build[(_ <: EntityId, DatasetId), Stitch[HydrationResponse[_]]] + .asMap, + datasetsToCache, + DatasetCacheScope + ) + + private val dynamicFeatureStoreClient = DynamicFeatureStoreClient( + clientConfig, + backupSourceStats, + Set(datasetValuesCache) + ) + + private val adapter: IRecordOneToOneAdapter[PredictionRecord] = + PredictionRecordAdapter.oneToOne( + BoundFeatureSet(allFeatures), + OnlineFeatureGenerationStats(backupSourceStats) + ) + + override def hydrateFeatures( + target: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + target.getOptionalUserId + .map { targetUserId => + val featureRequests = candidates.map { candidate => + val userEntityId = UserEntity.withId(UserId(targetUserId)) + val candidateEntityId = CandidateUserEntity.withId(UserId(candidate.id)) + val similarToUserId = target.similarToUserIds.map(id => AuthorEntity.withId(UserId(id))) + val topicProof = candidate.reason.flatMap(_.accountProof.flatMap(_.topicProof)) + val authorTopicEntity = if (topicProof.isDefined) { + backupSourceStats.counter("candidates_with_topic_proof").incr() + Set( + AuthorTopicEntity.withId( + EdgeEntityId(UserId(candidate.id), TopicId(topicProof.get.topicId)))) + } else Nil + + val entities = + Seq(userEntityId, candidateEntityId) ++ similarToUserId ++ authorTopicEntity + FeatureStoreRequest(entities) + } + + val predictionRecordsFut = dynamicFeatureStoreClient(featureRequests, target) + val candidateFeatureMap = predictionRecordsFut.map { predictionRecords => + // we can zip predictionRecords with candidates as the order is preserved in the client + candidates + .zip(predictionRecords).map { + case (candidate, predictionRecord) => + candidate -> adaptAdditionalFeaturesToDataRecord( + adapter.adaptToDataRecord(predictionRecord), + adapterStats, + FeatureStoreSource.featureAdapters) + }.toMap + } + Stitch + .callFuture(candidateFeatureMap) + .within(target.params(FeatureStoreSourceParams.GlobalFetchTimeout))( + com.twitter.finagle.util.DefaultTimer) + .rescue { + case _: TimeoutException => + Stitch.value(Map.empty[CandidateUser, DataRecord]) + } + }.getOrElse(Stitch.value(Map.empty[CandidateUser, DataRecord])) + } +} + +object FeatureStoreGizmoduckSource { + private val DatasetCacheScope = "feature_store_local_cache_gizmoduck" + private val DefaultCacheMaxKeys = 20000 + + val allFeatures: Set[BoundFeature[_ <: EntityId, _]] = + FeatureStoreFeatures.candidateUserStatusFeatures ++ + FeatureStoreFeatures.similarToUserStatusFeatures ++ + FeatureStoreFeatures.targetUserStatusFeatures + + val getFeatureContext: FeatureContext = + BoundFeatureSet(allFeatures).toFeatureContext + + val dynamicHydrationConfig: DynamicHydrationConfig[HasParams] = + DynamicHydrationConfig( + Set( + GatedFeatures( + boundFeatureSet = BoundFeatureSet(FeatureStoreFeatures.targetUserStatusFeatures), + gate = HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForGizmoduck) & + HasParams.paramGate(FeatureStoreSourceParams.EnableTargetUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(FeatureStoreFeatures.candidateUserStatusFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForGizmoduck) & + HasParams.paramGate(FeatureStoreSourceParams.EnableCandidateUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(FeatureStoreFeatures.similarToUserStatusFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForGizmoduck) & + HasParams.paramGate(FeatureStoreSourceParams.EnableSimilarToUserFeatures) + ), + )) + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreParameters.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreParameters.scala new file mode 100644 index 000000000..468a15ff6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreParameters.scala @@ -0,0 +1,79 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.twitter.conversions.DurationOps._ +import com.twitter.ml.featurestore.catalog.datasets.core.UserMobileSdkDataset +import com.twitter.ml.featurestore.catalog.datasets.core.UsersourceEntityDataset +import com.twitter.ml.featurestore.catalog.datasets.customer_journey.PostNuxAlgorithmIdAggregateDataset +import com.twitter.ml.featurestore.catalog.datasets.customer_journey.PostNuxAlgorithmTypeAggregateDataset +import com.twitter.ml.featurestore.catalog.datasets.magicrecs.NotificationSummariesEntityDataset +import com.twitter.ml.featurestore.catalog.datasets.onboarding.MetricCenterUserCountingFeaturesDataset +import com.twitter.ml.featurestore.catalog.datasets.onboarding.UserWtfAlgorithmAggregateFeaturesDataset +import com.twitter.ml.featurestore.catalog.datasets.onboarding.WhoToFollowPostNuxFeaturesDataset +import com.twitter.ml.featurestore.catalog.datasets.rux.UserRecentReactivationTimeDataset +import com.twitter.ml.featurestore.catalog.datasets.timelines.AuthorFeaturesEntityDataset +import com.twitter.ml.featurestore.lib.dataset.DatasetParams +import com.twitter.ml.featurestore.lib.dataset.online.BatchingPolicy +import com.twitter.ml.featurestore.lib.params.FeatureStoreParams +import com.twitter.strato.opcontext.Attribution.ManhattanAppId +import com.twitter.strato.opcontext.ServeWithin + +object FeatureStoreParameters { + + private val FeatureServiceBatchSize = 100 + + val featureStoreParams = FeatureStoreParams( + global = DatasetParams( + serveWithin = Some(ServeWithin(duration = 240.millis, roundTripAllowance = None)), + attributions = Seq( + ManhattanAppId("omega", "wtf_impression_store"), + ManhattanAppId("athena", "wtf_athena"), + ManhattanAppId("starbuck", "wtf_starbuck"), + ManhattanAppId("apollo", "wtf_apollo") + ), + batchingPolicy = Some(BatchingPolicy.Isolated(FeatureServiceBatchSize)) + ), + perDataset = Map( + MetricCenterUserCountingFeaturesDataset.id -> + DatasetParams( + stratoSuffix = Some("onboarding"), + batchingPolicy = Some(BatchingPolicy.Isolated(200)) + ), + UsersourceEntityDataset.id -> + DatasetParams( + stratoSuffix = Some("onboarding") + ), + WhoToFollowPostNuxFeaturesDataset.id -> + DatasetParams( + stratoSuffix = Some("onboarding"), + batchingPolicy = Some(BatchingPolicy.Isolated(200)) + ), + AuthorFeaturesEntityDataset.id -> + DatasetParams( + stratoSuffix = Some("onboarding"), + batchingPolicy = Some(BatchingPolicy.Isolated(10)) + ), + UserRecentReactivationTimeDataset.id -> DatasetParams( + stratoSuffix = + None // removed due to low hit rate. we should use a negative cache in the future + ), + UserWtfAlgorithmAggregateFeaturesDataset.id -> DatasetParams( + stratoSuffix = None + ), + NotificationSummariesEntityDataset.id -> DatasetParams( + stratoSuffix = Some("onboarding"), + serveWithin = Some(ServeWithin(duration = 45.millis, roundTripAllowance = None)), + batchingPolicy = Some(BatchingPolicy.Isolated(10)) + ), + UserMobileSdkDataset.id -> DatasetParams( + stratoSuffix = Some("onboarding") + ), + PostNuxAlgorithmIdAggregateDataset.id -> DatasetParams( + stratoSuffix = Some("onboarding") + ), + PostNuxAlgorithmTypeAggregateDataset.id -> DatasetParams( + stratoSuffix = Some("onboarding") + ), + ), + enableFeatureGenerationStats = true + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStorePostNuxAlgorithmSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStorePostNuxAlgorithmSource.scala new file mode 100644 index 000000000..6821e6a5f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStorePostNuxAlgorithmSource.scala @@ -0,0 +1,232 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.github.benmanes.caffeine.cache.Caffeine +import com.google.inject.Inject +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.TimeoutException +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.CandidateAlgorithmTypeConstants +import com.twitter.follow_recommendations.common.feature_hydration.adapters.CandidateAlgorithmAdapter.remapCandidateSource +import com.twitter.follow_recommendations.common.feature_hydration.adapters.PostNuxAlgorithmIdAdapter +import com.twitter.follow_recommendations.common.feature_hydration.adapters.PostNuxAlgorithmTypeAdapter +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.adaptAdditionalFeaturesToDataRecord +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.randomizedTTL +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.hermit.constants.AlgorithmFeedbackTokens.AlgorithmToFeedbackTokenMap +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.DataRecordMerger +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.ml.featurestore.catalog.datasets.customer_journey.PostNuxAlgorithmIdAggregateDataset +import com.twitter.ml.featurestore.catalog.datasets.customer_journey.PostNuxAlgorithmTypeAggregateDataset +import com.twitter.ml.featurestore.catalog.entities.onboarding.{WtfAlgorithm => OnboardingWtfAlgoId} +import com.twitter.ml.featurestore.catalog.entities.onboarding.{ + WtfAlgorithmType => OnboardingWtfAlgoType +} +import com.twitter.ml.featurestore.catalog.features.customer_journey.CombineAllFeaturesPolicy +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.ml.featurestore.lib.WtfAlgorithmId +import com.twitter.ml.featurestore.lib.WtfAlgorithmType +import com.twitter.ml.featurestore.lib.data.PredictionRecord +import com.twitter.ml.featurestore.lib.data.PredictionRecordAdapter +import com.twitter.ml.featurestore.lib.dataset.DatasetId +import com.twitter.ml.featurestore.lib.dataset.online.Hydrator.HydrationResponse +import com.twitter.ml.featurestore.lib.dataset.online.OnlineAccessDataset +import com.twitter.ml.featurestore.lib.dynamic.ClientConfig +import com.twitter.ml.featurestore.lib.dynamic.DynamicFeatureStoreClient +import com.twitter.ml.featurestore.lib.dynamic.DynamicHydrationConfig +import com.twitter.ml.featurestore.lib.dynamic.FeatureStoreParamsConfig +import com.twitter.ml.featurestore.lib.dynamic.GatedFeatures +import com.twitter.ml.featurestore.lib.entity.EntityWithId +import com.twitter.ml.featurestore.lib.feature.BoundFeature +import com.twitter.ml.featurestore.lib.feature.BoundFeatureSet +import com.twitter.ml.featurestore.lib.online.DatasetValuesCache +import com.twitter.ml.featurestore.lib.online.FeatureStoreRequest +import com.twitter.ml.featurestore.lib.online.OnlineFeatureGenerationStats +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import java.util.concurrent.TimeUnit +import scala.collection.JavaConverters._ + +class FeatureStorePostNuxAlgorithmSource @Inject() ( + serviceIdentifier: ServiceIdentifier, + stats: StatsReceiver) + extends FeatureSource { + import FeatureStorePostNuxAlgorithmSource._ + + val backupSourceStats = stats.scope("feature_store_hydration_post_nux_algorithm") + val adapterStats = backupSourceStats.scope("adapters") + override def id: FeatureSourceId = FeatureSourceId.FeatureStorePostNuxAlgorithmSourceId + override def featureContext: FeatureContext = getFeatureContext + + private val dataRecordMerger = new DataRecordMerger + + val clientConfig: ClientConfig[HasParams] = ClientConfig( + dynamicHydrationConfig = dynamicHydrationConfig, + featureStoreParamsConfig = + FeatureStoreParamsConfig(FeatureStoreParameters.featureStoreParams, Map.empty), + /** + * The smaller one between `timeoutProvider` and `FeatureStoreSourceParams.GlobalFetchTimeout` + * used below takes effect. + */ + timeoutProvider = Function.const(800.millis), + serviceIdentifier = serviceIdentifier + ) + + private val datasetsToCache = Set( + PostNuxAlgorithmIdAggregateDataset, + PostNuxAlgorithmTypeAggregateDataset, + ).asInstanceOf[Set[OnlineAccessDataset[_ <: EntityId, _]]] + + private val datasetValuesCache: DatasetValuesCache = + DatasetValuesCache( + Caffeine + .newBuilder() + .expireAfterWrite(randomizedTTL(12.hours.inSeconds), TimeUnit.SECONDS) + .maximumSize(DefaultCacheMaxKeys) + .build[(_ <: EntityId, DatasetId), Stitch[HydrationResponse[_]]] + .asMap, + datasetsToCache, + DatasetCacheScope + ) + + private val dynamicFeatureStoreClient = DynamicFeatureStoreClient( + clientConfig, + backupSourceStats, + Set(datasetValuesCache) + ) + + private val adapterToDataRecord: IRecordOneToOneAdapter[PredictionRecord] = + PredictionRecordAdapter.oneToOne( + BoundFeatureSet(allFeatures), + OnlineFeatureGenerationStats(backupSourceStats) + ) + + // These two calculate the rate for each feature by dividing it by the number of impressions, then + // apply a log transformation. + private val transformAdapters = Seq(PostNuxAlgorithmIdAdapter, PostNuxAlgorithmTypeAdapter) + override def hydrateFeatures( + target: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + target.getOptionalUserId + .map { _: Long => + val candidateAlgoIdEntities = candidates.map { candidate => + candidate.id -> candidate.getAllAlgorithms + .flatMap { algo => + AlgorithmToFeedbackTokenMap.get(remapCandidateSource(algo)) + }.map(algoId => OnboardingWtfAlgoId.withId(WtfAlgorithmId(algoId))) + }.toMap + + val candidateAlgoTypeEntities = candidateAlgoIdEntities.map { + case (candidateId, algoIdEntities) => + candidateId -> algoIdEntities + .map(_.id.algoId) + .flatMap(algoId => CandidateAlgorithmTypeConstants.getAlgorithmTypes(algoId.toString)) + .distinct + .map(algoType => OnboardingWtfAlgoType.withId(WtfAlgorithmType(algoType))) + } + + val entities = { + candidateAlgoIdEntities.values.flatten ++ candidateAlgoTypeEntities.values.flatten + }.toSeq.distinct + val requests = entities.map(entity => FeatureStoreRequest(Seq(entity))) + + val predictionRecordsFut = dynamicFeatureStoreClient(requests, target) + val candidateFeatureMap = predictionRecordsFut.map { + predictionRecords: Seq[PredictionRecord] => + val entityFeatureMap: Map[EntityWithId[_], DataRecord] = entities + .zip(predictionRecords).map { + case (entity, predictionRecord) => + entity -> adaptAdditionalFeaturesToDataRecord( + adapterToDataRecord.adaptToDataRecord(predictionRecord), + adapterStats, + transformAdapters) + }.toMap + + // In case we have more than one algorithm ID, or type, for a candidate, we merge the + // resulting DataRecords using the two merging policies below. + val algoIdMergeFn = + CombineAllFeaturesPolicy(PostNuxAlgorithmIdAdapter.getFeatures).getMergeFn + val algoTypeMergeFn = + CombineAllFeaturesPolicy(PostNuxAlgorithmTypeAdapter.getFeatures).getMergeFn + + val candidateAlgoIdFeaturesMap = candidateAlgoIdEntities.mapValues { entities => + val features = entities.flatMap(e => Option(entityFeatureMap.getOrElse(e, null))) + algoIdMergeFn(features) + } + + val candidateAlgoTypeFeaturesMap = candidateAlgoTypeEntities.mapValues { entities => + val features = entities.flatMap(e => Option(entityFeatureMap.getOrElse(e, null))) + algoTypeMergeFn(features) + } + + candidates.map { candidate => + val idDrOpt = candidateAlgoIdFeaturesMap.getOrElse(candidate.id, None) + val typeDrOpt = candidateAlgoTypeFeaturesMap.getOrElse(candidate.id, None) + + val featureDr = (idDrOpt, typeDrOpt) match { + case (None, Some(typeDataRecord)) => typeDataRecord + case (Some(idDataRecord), None) => idDataRecord + case (None, None) => new DataRecord() + case (Some(idDataRecord), Some(typeDataRecord)) => + dataRecordMerger.merge(idDataRecord, typeDataRecord) + idDataRecord + } + candidate -> featureDr + }.toMap + } + Stitch + .callFuture(candidateFeatureMap) + .within(target.params(FeatureStoreSourceParams.GlobalFetchTimeout))( + com.twitter.finagle.util.DefaultTimer) + .rescue { + case _: TimeoutException => + Stitch.value(Map.empty[CandidateUser, DataRecord]) + } + }.getOrElse(Stitch.value(Map.empty[CandidateUser, DataRecord])) + } +} + +object FeatureStorePostNuxAlgorithmSource { + private val DatasetCacheScope = "feature_store_local_cache_post_nux_algorithm" + private val DefaultCacheMaxKeys = 1000 // Both of these datasets have <50 keys total. + + val allFeatures: Set[BoundFeature[_ <: EntityId, _]] = + FeatureStoreFeatures.postNuxAlgorithmIdAggregateFeatures ++ + FeatureStoreFeatures.postNuxAlgorithmTypeAggregateFeatures + + val algoIdFinalFeatures = CombineAllFeaturesPolicy( + PostNuxAlgorithmIdAdapter.getFeatures).outputFeaturesPostMerge.toSeq + val algoTypeFinalFeatures = CombineAllFeaturesPolicy( + PostNuxAlgorithmTypeAdapter.getFeatures).outputFeaturesPostMerge.toSeq + + val getFeatureContext: FeatureContext = + new FeatureContext().addFeatures((algoIdFinalFeatures ++ algoTypeFinalFeatures).asJava) + + val dynamicHydrationConfig: DynamicHydrationConfig[HasParams] = + DynamicHydrationConfig( + Set( + GatedFeatures( + boundFeatureSet = + BoundFeatureSet(FeatureStoreFeatures.postNuxAlgorithmIdAggregateFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableAlgorithmAggregateFeatures) + ), + GatedFeatures( + boundFeatureSet = + BoundFeatureSet(FeatureStoreFeatures.postNuxAlgorithmTypeAggregateFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableAlgorithmAggregateFeatures) + ), + )) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreSource.scala new file mode 100644 index 000000000..991bdee86 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreSource.scala @@ -0,0 +1,368 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.github.benmanes.caffeine.cache.Caffeine +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.TimeoutException +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.feature_hydration.adapters.CandidateAlgorithmAdapter.remapCandidateSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.adaptAdditionalFeaturesToDataRecord +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.randomizedTTL +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.hermit.constants.AlgorithmFeedbackTokens.AlgorithmToFeedbackTokenMap +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.ml.featurestore.catalog.datasets.core.UsersourceEntityDataset +import com.twitter.ml.featurestore.catalog.datasets.magicrecs.NotificationSummariesEntityDataset +import com.twitter.ml.featurestore.catalog.datasets.onboarding.MetricCenterUserCountingFeaturesDataset +import com.twitter.ml.featurestore.catalog.datasets.timelines.AuthorFeaturesEntityDataset +import com.twitter.ml.featurestore.catalog.entities.core.{Author => AuthorEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{AuthorTopic => AuthorTopicEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{CandidateUser => CandidateUserEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{Topic => TopicEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{User => UserEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{UserCandidate => UserCandidateEntity} +import com.twitter.ml.featurestore.catalog.entities.onboarding.UserWtfAlgorithmEntity +import com.twitter.ml.featurestore.lib.data.PredictionRecord +import com.twitter.ml.featurestore.lib.data.PredictionRecordAdapter +import com.twitter.ml.featurestore.lib.dataset.online.Hydrator.HydrationResponse +import com.twitter.ml.featurestore.lib.dataset.online.OnlineAccessDataset +import com.twitter.ml.featurestore.lib.dataset.DatasetId +import com.twitter.ml.featurestore.lib.dynamic._ +import com.twitter.ml.featurestore.lib.feature._ +import com.twitter.ml.featurestore.lib.online.DatasetValuesCache +import com.twitter.ml.featurestore.lib.online.FeatureStoreRequest +import com.twitter.ml.featurestore.lib.online.OnlineFeatureGenerationStats +import com.twitter.ml.featurestore.lib.EdgeEntityId +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.ml.featurestore.lib.TopicId +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.ml.featurestore.lib.WtfAlgorithmId +import com.twitter.onboarding.relevance.adapters.features.featurestore.CandidateAuthorTopicAggregatesAdapter +import com.twitter.onboarding.relevance.adapters.features.featurestore.CandidateTopicEngagementRealTimeAggregatesAdapter +import com.twitter.onboarding.relevance.adapters.features.featurestore.CandidateTopicEngagementUserStateRealTimeAggregatesAdapter +import com.twitter.onboarding.relevance.adapters.features.featurestore.CandidateTopicNegativeEngagementUserStateRealTimeAggregatesAdapter +import com.twitter.onboarding.relevance.adapters.features.featurestore.FeatureStoreAdapter +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +import java.util.concurrent.TimeUnit + +@Singleton +class FeatureStoreSource @Inject() ( + serviceIdentifier: ServiceIdentifier, + stats: StatsReceiver) + extends FeatureSource { + import FeatureStoreSource._ + + override val id: FeatureSourceId = FeatureSourceId.FeatureStoreSourceId + override val featureContext: FeatureContext = FeatureStoreSource.getFeatureContext + val hydrateFeaturesStats = stats.scope("hydrate_features") + val adapterStats = stats.scope("adapters") + val featureSet: BoundFeatureSet = BoundFeatureSet(FeatureStoreSource.allFeatures) + val clientConfig: ClientConfig[HasParams] = ClientConfig( + dynamicHydrationConfig = FeatureStoreSource.dynamicHydrationConfig, + featureStoreParamsConfig = + FeatureStoreParamsConfig(FeatureStoreParameters.featureStoreParams, Map.empty), + /** + * The smaller one between `timeoutProvider` and `FeatureStoreSourceParams.GlobalFetchTimeout` + * used below takes effect. + */ + timeoutProvider = Function.const(800.millis), + serviceIdentifier = serviceIdentifier + ) + + private val datasetsToCache = Set( + MetricCenterUserCountingFeaturesDataset, + UsersourceEntityDataset, + AuthorFeaturesEntityDataset, + NotificationSummariesEntityDataset + ).asInstanceOf[Set[OnlineAccessDataset[_ <: EntityId, _]]] + + private val datasetValuesCache: DatasetValuesCache = + DatasetValuesCache( + Caffeine + .newBuilder() + .expireAfterWrite(randomizedTTL(12.hours.inSeconds), TimeUnit.SECONDS) + .maximumSize(DefaultCacheMaxKeys) + .build[(_ <: EntityId, DatasetId), Stitch[HydrationResponse[_]]] + .asMap, + datasetsToCache, + DatasetCacheScope + ) + + private val dynamicFeatureStoreClient = DynamicFeatureStoreClient( + clientConfig, + stats, + Set(datasetValuesCache) + ) + + private val adapter: IRecordOneToOneAdapter[PredictionRecord] = + PredictionRecordAdapter.oneToOne( + BoundFeatureSet(allFeatures), + OnlineFeatureGenerationStats(stats) + ) + + override def hydrateFeatures( + target: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + target.getOptionalUserId + .map { targetUserId => + val featureRequests = candidates.map { candidate => + val userId = UserId(targetUserId) + val userEntityId = UserEntity.withId(userId) + val candidateEntityId = CandidateUserEntity.withId(UserId(candidate.id)) + val userCandidateEdgeEntityId = + UserCandidateEntity.withId(EdgeEntityId(userId, UserId(candidate.id))) + val similarToUserId = target.similarToUserIds.map(id => AuthorEntity.withId(UserId(id))) + val topicProof = candidate.reason.flatMap(_.accountProof.flatMap(_.topicProof)) + val topicEntities = if (topicProof.isDefined) { + hydrateFeaturesStats.counter("candidates_with_topic_proof").incr() + val topicId = topicProof.get.topicId + val topicEntityId = TopicEntity.withId(TopicId(topicId)) + val authorTopicEntityId = + AuthorTopicEntity.withId(EdgeEntityId(UserId(candidate.id), TopicId(topicId))) + Seq(topicEntityId, authorTopicEntityId) + } else Nil + + val candidateAlgorithmsWithScores = candidate.getAllAlgorithms + val userWtfAlgEdgeEntities = + candidateAlgorithmsWithScores.flatMap(algo => { + val algoId = AlgorithmToFeedbackTokenMap.get(remapCandidateSource(algo)) + algoId.map(id => + UserWtfAlgorithmEntity.withId(EdgeEntityId(userId, WtfAlgorithmId(id)))) + }) + + val entities = Seq( + userEntityId, + candidateEntityId, + userCandidateEdgeEntityId) ++ similarToUserId ++ topicEntities ++ userWtfAlgEdgeEntities + FeatureStoreRequest(entities) + } + + val predictionRecordsFut = dynamicFeatureStoreClient(featureRequests, target) + val candidateFeatureMap = predictionRecordsFut.map { predictionRecords => + // we can zip predictionRecords with candidates as the order is preserved in the client + candidates + .zip(predictionRecords).map { + case (candidate, predictionRecord) => + candidate -> adaptAdditionalFeaturesToDataRecord( + adapter.adaptToDataRecord(predictionRecord), + adapterStats, + FeatureStoreSource.featureAdapters) + }.toMap + } + Stitch + .callFuture(candidateFeatureMap) + .within(target.params(FeatureStoreSourceParams.GlobalFetchTimeout))( + com.twitter.finagle.util.DefaultTimer) + .rescue { + case _: TimeoutException => + Stitch.value(Map.empty[CandidateUser, DataRecord]) + } + }.getOrElse(Stitch.value(Map.empty[CandidateUser, DataRecord])) + } +} + +// list of features that we will be fetching, even if we are only scribing but not scoring with them +object FeatureStoreSource { + + private val DatasetCacheScope = "feature_store_local_cache" + private val DefaultCacheMaxKeys = 70000 + + import FeatureStoreFeatures._ + + ///////////////////// ALL hydrated features ///////////////////// + val allFeatures: Set[BoundFeature[_ <: EntityId, _]] = + //target user + targetUserFeatures ++ + targetUserUserAuthorUserStateRealTimeAggregatesFeature ++ + targetUserResurrectionFeatures ++ + targetUserWtfImpressionFeatures ++ + targetUserStatusFeatures ++ + targetUserMetricCountFeatures ++ + //candidate user + candidateUserFeatures ++ + candidateUserResurrectionFeatures ++ + candidateUserAuthorRealTimeAggregateFeatures ++ + candidateUserStatusFeatures ++ + candidateUserMetricCountFeatures ++ + candidateUserTimelinesAuthorAggregateFeatures ++ + candidateUserClientFeatures ++ + //similar to user + similarToUserFeatures ++ + similarToUserStatusFeatures ++ + similarToUserMetricCountFeatures ++ + similarToUserTimelinesAuthorAggregateFeatures ++ + //other + userCandidateEdgeFeatures ++ + userCandidateWtfImpressionCandidateFeatures ++ + topicFeatures ++ + userWtfAlgorithmEdgeFeatures ++ + targetUserClientFeatures + + val dynamicHydrationConfig: DynamicHydrationConfig[HasParams] = + DynamicHydrationConfig( + Set( + GatedFeatures( + boundFeatureSet = BoundFeatureSet(topicAggregateFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableTopicAggregateFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(authorTopicFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForTimelinesAuthors).unary_! & + HasParams.paramGate(FeatureStoreSourceParams.EnableAuthorTopicAggregateFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(userTopicFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableUserTopicFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(targetUserFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableTargetUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(targetUserUserAuthorUserStateRealTimeAggregatesFeature), + gate = HasParams.paramGate( + FeatureStoreSourceParams.EnableTargetUserUserAuthorUserStateRealTimeAggregatesFeature) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(targetUserResurrectionFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableTargetUserResurrectionFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(targetUserWtfImpressionFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableTargetUserWtfImpressionFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(targetUserStatusFeatures), + gate = + HasParams.paramGate(FeatureStoreSourceParams.EnableSeparateClientForGizmoduck).unary_! & + HasParams.paramGate(FeatureStoreSourceParams.EnableTargetUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(targetUserMetricCountFeatures), + gate = HasParams + .paramGate( + FeatureStoreSourceParams.EnableSeparateClientForMetricCenterUserCounting).unary_! & + HasParams.paramGate(FeatureStoreSourceParams.EnableTargetUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(candidateUserFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableCandidateUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(candidateUserAuthorRealTimeAggregateFeatures), + gate = HasParams.paramGate( + FeatureStoreSourceParams.EnableCandidateUserAuthorRealTimeAggregateFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(candidateUserResurrectionFeatures), + gate = + HasParams.paramGate(FeatureStoreSourceParams.EnableCandidateUserResurrectionFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(candidateUserStatusFeatures), + gate = + HasParams.paramGate(FeatureStoreSourceParams.EnableSeparateClientForGizmoduck).unary_! & + HasParams.paramGate(FeatureStoreSourceParams.EnableCandidateUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(candidateUserTimelinesAuthorAggregateFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForTimelinesAuthors).unary_! & + HasParams.paramGate( + FeatureStoreSourceParams.EnableCandidateUserTimelinesAuthorAggregateFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(candidateUserMetricCountFeatures), + gate = + HasParams + .paramGate( + FeatureStoreSourceParams.EnableSeparateClientForMetricCenterUserCounting).unary_! & + HasParams.paramGate(FeatureStoreSourceParams.EnableCandidateUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(userCandidateEdgeFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableUserCandidateEdgeFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(userCandidateWtfImpressionCandidateFeatures), + gate = HasParams.paramGate( + FeatureStoreSourceParams.EnableUserCandidateWtfImpressionCandidateFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(userWtfAlgorithmEdgeFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableUserWtfAlgEdgeFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(similarToUserFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableSimilarToUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(similarToUserStatusFeatures), + gate = + HasParams.paramGate(FeatureStoreSourceParams.EnableSeparateClientForGizmoduck).unary_! & + HasParams.paramGate(FeatureStoreSourceParams.EnableSimilarToUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(similarToUserTimelinesAuthorAggregateFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForTimelinesAuthors).unary_! & + HasParams.paramGate(FeatureStoreSourceParams.EnableSimilarToUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(similarToUserMetricCountFeatures), + gate = + HasParams + .paramGate( + FeatureStoreSourceParams.EnableSeparateClientForMetricCenterUserCounting).unary_! & + HasParams.paramGate(FeatureStoreSourceParams.EnableSimilarToUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(candidateUserClientFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableCandidateClientFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(targetUserClientFeatures), + gate = HasParams.paramGate(FeatureStoreSourceParams.EnableUserClientFeatures) + ), + ) + ) + // for calibrating features, e.g. add log transformed topic features + val featureAdapters: Seq[FeatureStoreAdapter] = Seq( + CandidateTopicEngagementRealTimeAggregatesAdapter, + CandidateTopicNegativeEngagementUserStateRealTimeAggregatesAdapter, + CandidateTopicEngagementUserStateRealTimeAggregatesAdapter, + CandidateAuthorTopicAggregatesAdapter + ) + val additionalFeatureContext: FeatureContext = FeatureContext.merge( + featureAdapters + .foldRight(new FeatureContext())((adapter, context) => + context + .addFeatures(adapter.getFeatureContext)) + ) + val getFeatureContext: FeatureContext = + BoundFeatureSet(allFeatures).toFeatureContext + .addFeatures(additionalFeatureContext) + // The below are aggregated features that are aggregated for a second time over multiple keys. + .addFeatures(maxSumAvgAggregatedFeatureContext) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreSourceParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreSourceParams.scala new file mode 100644 index 000000000..15488ce90 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreSourceParams.scala @@ -0,0 +1,148 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration +import com.twitter.conversions.DurationOps._ + +object FeatureStoreSourceParams { + case object EnableTopicAggregateFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableTopicAggregateFeatures, + default = true + ) + case object EnableAlgorithmAggregateFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableAlgorithmAggregateFeatures, + default = false + ) + case object EnableAuthorTopicAggregateFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableAuthorTopicAggregateFeatures, + default = true + ) + case object EnableUserTopicFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableUserTopicFeatures, + default = false + ) + case object EnableTargetUserFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableTargetUserFeatures, + default = true + ) + case object EnableTargetUserUserAuthorUserStateRealTimeAggregatesFeature + extends FSParam[Boolean]( + name = + FeatureHydrationSourcesFeatureSwitchKeys.EnableTargetUserUserAuthorUserStateRealTimeAggregatesFeature, + default = true + ) + case object EnableTargetUserResurrectionFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableTargetUserResurrectionFeatures, + default = true + ) + case object EnableTargetUserWtfImpressionFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableTargetUserWtfImpressionFeatures, + default = true + ) + case object EnableCandidateUserFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableCandidateUserFeatures, + default = true + ) + case object EnableCandidateUserAuthorRealTimeAggregateFeatures + extends FSParam[Boolean]( + name = + FeatureHydrationSourcesFeatureSwitchKeys.EnableCandidateUserAuthorRealTimeAggregateFeatures, + default = true + ) + case object EnableCandidateUserResurrectionFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableCandidateUserResurrectionFeatures, + default = true + ) + case object EnableCandidateUserTimelinesAuthorAggregateFeatures + extends FSParam[Boolean]( + name = + FeatureHydrationSourcesFeatureSwitchKeys.EnableCandidateUserTimelinesAuthorAggregateFeatures, + default = true + ) + case object EnableUserCandidateEdgeFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableUserCandidateEdgeFeatures, + default = true + ) + case object EnableUserCandidateWtfImpressionCandidateFeatures + extends FSParam[Boolean]( + name = + FeatureHydrationSourcesFeatureSwitchKeys.EnableUserCandidateWtfImpressionCandidateFeatures, + default = true + ) + case object EnableUserWtfAlgEdgeFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableUserWtfAlgEdgeFeatures, + default = false + ) + case object EnableSimilarToUserFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableSimilarToUserFeatures, + default = true + ) + + case object EnableCandidatePrecomputedNotificationFeatures + extends FSParam[Boolean]( + name = + FeatureHydrationSourcesFeatureSwitchKeys.EnableCandidatePrecomputedNotificationFeatures, + default = false + ) + + case object EnableCandidateClientFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableCandidateClientFeatures, + default = false + ) + + case object EnableUserClientFeatures + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.EnableUserClientFeatures, + default = false + ) + + case object EnableSeparateClientForTimelinesAuthors + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.UseSeparateClientForTimelinesAuthor, + default = false + ) + + case object EnableSeparateClientForMetricCenterUserCounting + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.UseSeparateClientMetricCenterUserCounting, + default = false + ) + + case object EnableSeparateClientForNotifications + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.UseSeparateClientForNotifications, + default = false + ) + + case object EnableSeparateClientForGizmoduck + extends FSParam[Boolean]( + name = FeatureHydrationSourcesFeatureSwitchKeys.UseSeparateClientForGizmoduck, + default = false + ) + + case object GlobalFetchTimeout + extends FSBoundedParam[Duration]( + name = FeatureHydrationSourcesFeatureSwitchKeys.FeatureHydrationTimeout, + default = 240.millisecond, + min = 100.millisecond, + max = 400.millisecond) + with HasDurationConversion { + override def durationConversion: DurationConversion = DurationConversion.FromMillis + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreTimelinesAuthorSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreTimelinesAuthorSource.scala new file mode 100644 index 000000000..179ae7081 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreTimelinesAuthorSource.scala @@ -0,0 +1,191 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.github.benmanes.caffeine.cache.Caffeine +import com.google.inject.Inject +import com.twitter.finagle.TimeoutException +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.adaptAdditionalFeaturesToDataRecord +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.randomizedTTL +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.ml.featurestore.catalog.datasets.timelines.AuthorFeaturesEntityDataset +import com.twitter.ml.featurestore.catalog.entities.core.{Author => AuthorEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{AuthorTopic => AuthorTopicEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{CandidateUser => CandidateUserEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{User => UserEntity} +import com.twitter.ml.featurestore.lib.EdgeEntityId +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.ml.featurestore.lib.TopicId +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.ml.featurestore.lib.data.PredictionRecord +import com.twitter.ml.featurestore.lib.data.PredictionRecordAdapter +import com.twitter.ml.featurestore.lib.dataset.DatasetId +import com.twitter.ml.featurestore.lib.dataset.online.Hydrator.HydrationResponse +import com.twitter.ml.featurestore.lib.dataset.online.OnlineAccessDataset +import com.twitter.ml.featurestore.lib.dynamic.ClientConfig +import com.twitter.ml.featurestore.lib.dynamic.DynamicFeatureStoreClient +import com.twitter.ml.featurestore.lib.dynamic.DynamicHydrationConfig +import com.twitter.ml.featurestore.lib.dynamic.FeatureStoreParamsConfig +import com.twitter.ml.featurestore.lib.dynamic.GatedFeatures +import com.twitter.ml.featurestore.lib.feature.BoundFeature +import com.twitter.ml.featurestore.lib.feature.BoundFeatureSet +import com.twitter.ml.featurestore.lib.online.DatasetValuesCache +import com.twitter.ml.featurestore.lib.online.FeatureStoreRequest +import com.twitter.ml.featurestore.lib.online.OnlineFeatureGenerationStats +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import java.util.concurrent.TimeUnit +import com.twitter.conversions.DurationOps._ +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext + +class FeatureStoreTimelinesAuthorSource @Inject() ( + serviceIdentifier: ServiceIdentifier, + stats: StatsReceiver) + extends FeatureSource { + import FeatureStoreTimelinesAuthorSource._ + + val backupSourceStats = stats.scope("feature_store_hydration_timelines_author") + val adapterStats = backupSourceStats.scope("adapters") + override def id: FeatureSourceId = FeatureSourceId.FeatureStoreTimelinesAuthorSourceId + override def featureContext: FeatureContext = getFeatureContext + + val clientConfig: ClientConfig[HasParams] = ClientConfig( + dynamicHydrationConfig = dynamicHydrationConfig, + featureStoreParamsConfig = + FeatureStoreParamsConfig(FeatureStoreParameters.featureStoreParams, Map.empty), + /** + * The smaller one between `timeoutProvider` and `FeatureStoreSourceParams.GlobalFetchTimeout` + * used below takes effect. + */ + timeoutProvider = Function.const(800.millis), + serviceIdentifier = serviceIdentifier + ) + + private val datasetsToCache = Set( + AuthorFeaturesEntityDataset + ).asInstanceOf[Set[OnlineAccessDataset[_ <: EntityId, _]]] + + private val datasetValuesCache: DatasetValuesCache = + DatasetValuesCache( + Caffeine + .newBuilder() + .expireAfterWrite(randomizedTTL(12.hours.inSeconds), TimeUnit.SECONDS) + .maximumSize(DefaultCacheMaxKeys) + .build[(_ <: EntityId, DatasetId), Stitch[HydrationResponse[_]]] + .asMap, + datasetsToCache, + DatasetCacheScope + ) + + private val dynamicFeatureStoreClient = DynamicFeatureStoreClient( + clientConfig, + backupSourceStats, + Set(datasetValuesCache) + ) + + private val adapter: IRecordOneToOneAdapter[PredictionRecord] = + PredictionRecordAdapter.oneToOne( + BoundFeatureSet(allFeatures), + OnlineFeatureGenerationStats(backupSourceStats) + ) + + override def hydrateFeatures( + target: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + target.getOptionalUserId + .map { targetUserId => + val featureRequests = candidates.map { candidate => + val userEntityId = UserEntity.withId(UserId(targetUserId)) + val candidateEntityId = CandidateUserEntity.withId(UserId(candidate.id)) + val similarToUserId = target.similarToUserIds.map(id => AuthorEntity.withId(UserId(id))) + val topicProof = candidate.reason.flatMap(_.accountProof.flatMap(_.topicProof)) + val authorTopicEntity = if (topicProof.isDefined) { + backupSourceStats.counter("candidates_with_topic_proof").incr() + Set( + AuthorTopicEntity.withId( + EdgeEntityId(UserId(candidate.id), TopicId(topicProof.get.topicId)))) + } else Nil + + val entities = + Seq(userEntityId, candidateEntityId) ++ similarToUserId ++ authorTopicEntity + FeatureStoreRequest(entities) + } + + val predictionRecordsFut = dynamicFeatureStoreClient(featureRequests, target) + val candidateFeatureMap = predictionRecordsFut.map { predictionRecords => + // we can zip predictionRecords with candidates as the order is preserved in the client + candidates + .zip(predictionRecords).map { + case (candidate, predictionRecord) => + candidate -> adaptAdditionalFeaturesToDataRecord( + adapter.adaptToDataRecord(predictionRecord), + adapterStats, + FeatureStoreSource.featureAdapters) + }.toMap + } + Stitch + .callFuture(candidateFeatureMap) + .within(target.params(FeatureStoreSourceParams.GlobalFetchTimeout))( + com.twitter.finagle.util.DefaultTimer) + .rescue { + case _: TimeoutException => + Stitch.value(Map.empty[CandidateUser, DataRecord]) + } + }.getOrElse(Stitch.value(Map.empty[CandidateUser, DataRecord])) + } +} + +object FeatureStoreTimelinesAuthorSource { + private val DatasetCacheScope = "feature_store_local_cache_timelines_author" + private val DefaultCacheMaxKeys = 20000 + + import FeatureStoreFeatures._ + + val allFeatures: Set[BoundFeature[_ <: EntityId, _]] = + similarToUserTimelinesAuthorAggregateFeatures ++ + candidateUserTimelinesAuthorAggregateFeatures ++ + authorTopicFeatures + + val getFeatureContext: FeatureContext = + BoundFeatureSet(allFeatures).toFeatureContext + + val dynamicHydrationConfig: DynamicHydrationConfig[HasParams] = + DynamicHydrationConfig( + Set( + GatedFeatures( + boundFeatureSet = BoundFeatureSet(authorTopicFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForTimelinesAuthors) & + HasParams.paramGate(FeatureStoreSourceParams.EnableAuthorTopicAggregateFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(similarToUserTimelinesAuthorAggregateFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForTimelinesAuthors) & + HasParams.paramGate(FeatureStoreSourceParams.EnableSimilarToUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(candidateUserTimelinesAuthorAggregateFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForTimelinesAuthors) & + HasParams.paramGate( + FeatureStoreSourceParams.EnableCandidateUserTimelinesAuthorAggregateFeatures) + ), + )) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreUserMetricCountsSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreUserMetricCountsSource.scala new file mode 100644 index 000000000..110985c92 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/FeatureStoreUserMetricCountsSource.scala @@ -0,0 +1,187 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.github.benmanes.caffeine.cache.Caffeine +import com.google.inject.Inject +import com.twitter.finagle.TimeoutException +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.adaptAdditionalFeaturesToDataRecord +import com.twitter.follow_recommendations.common.feature_hydration.sources.Utils.randomizedTTL +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.ml.featurestore.catalog.datasets.onboarding.MetricCenterUserCountingFeaturesDataset +import com.twitter.ml.featurestore.catalog.entities.core.{Author => AuthorEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{AuthorTopic => AuthorTopicEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{CandidateUser => CandidateUserEntity} +import com.twitter.ml.featurestore.catalog.entities.core.{User => UserEntity} +import com.twitter.ml.featurestore.lib.EdgeEntityId +import com.twitter.ml.featurestore.lib.EntityId +import com.twitter.ml.featurestore.lib.TopicId +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.ml.featurestore.lib.data.PredictionRecord +import com.twitter.ml.featurestore.lib.data.PredictionRecordAdapter +import com.twitter.ml.featurestore.lib.dataset.DatasetId +import com.twitter.ml.featurestore.lib.dataset.online.Hydrator.HydrationResponse +import com.twitter.ml.featurestore.lib.dataset.online.OnlineAccessDataset +import com.twitter.ml.featurestore.lib.dynamic.ClientConfig +import com.twitter.ml.featurestore.lib.dynamic.DynamicFeatureStoreClient +import com.twitter.ml.featurestore.lib.dynamic.DynamicHydrationConfig +import com.twitter.ml.featurestore.lib.dynamic.FeatureStoreParamsConfig +import com.twitter.ml.featurestore.lib.dynamic.GatedFeatures +import com.twitter.ml.featurestore.lib.feature.BoundFeature +import com.twitter.ml.featurestore.lib.feature.BoundFeatureSet +import com.twitter.ml.featurestore.lib.online.DatasetValuesCache +import com.twitter.ml.featurestore.lib.online.FeatureStoreRequest +import com.twitter.ml.featurestore.lib.online.OnlineFeatureGenerationStats +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import java.util.concurrent.TimeUnit +import com.twitter.conversions.DurationOps._ +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext + +class FeatureStoreUserMetricCountsSource @Inject() ( + serviceIdentifier: ServiceIdentifier, + stats: StatsReceiver) + extends FeatureSource { + import FeatureStoreUserMetricCountsSource._ + + val backupSourceStats = stats.scope("feature_store_hydration_mc_counting") + val adapterStats = backupSourceStats.scope("adapters") + override def id: FeatureSourceId = FeatureSourceId.FeatureStoreUserMetricCountsSourceId + override def featureContext: FeatureContext = getFeatureContext + + val clientConfig: ClientConfig[HasParams] = ClientConfig( + dynamicHydrationConfig = dynamicHydrationConfig, + featureStoreParamsConfig = + FeatureStoreParamsConfig(FeatureStoreParameters.featureStoreParams, Map.empty), + /** + * The smaller one between `timeoutProvider` and `FeatureStoreSourceParams.GlobalFetchTimeout` + * used below takes effect. + */ + timeoutProvider = Function.const(800.millis), + serviceIdentifier = serviceIdentifier + ) + + private val datasetsToCache = Set( + MetricCenterUserCountingFeaturesDataset + ).asInstanceOf[Set[OnlineAccessDataset[_ <: EntityId, _]]] + + private val datasetValuesCache: DatasetValuesCache = + DatasetValuesCache( + Caffeine + .newBuilder() + .expireAfterWrite(randomizedTTL(12.hours.inSeconds), TimeUnit.SECONDS) + .maximumSize(DefaultCacheMaxKeys) + .build[(_ <: EntityId, DatasetId), Stitch[HydrationResponse[_]]] + .asMap, + datasetsToCache, + DatasetCacheScope + ) + + private val dynamicFeatureStoreClient = DynamicFeatureStoreClient( + clientConfig, + backupSourceStats, + Set(datasetValuesCache) + ) + + private val adapter: IRecordOneToOneAdapter[PredictionRecord] = + PredictionRecordAdapter.oneToOne( + BoundFeatureSet(allFeatures), + OnlineFeatureGenerationStats(backupSourceStats) + ) + + override def hydrateFeatures( + target: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + target.getOptionalUserId + .map { targetUserId => + val featureRequests = candidates.map { candidate => + val userEntityId = UserEntity.withId(UserId(targetUserId)) + val candidateEntityId = CandidateUserEntity.withId(UserId(candidate.id)) + val similarToUserId = target.similarToUserIds.map(id => AuthorEntity.withId(UserId(id))) + val topicProof = candidate.reason.flatMap(_.accountProof.flatMap(_.topicProof)) + val authorTopicEntity = if (topicProof.isDefined) { + backupSourceStats.counter("candidates_with_topic_proof").incr() + Set( + AuthorTopicEntity.withId( + EdgeEntityId(UserId(candidate.id), TopicId(topicProof.get.topicId)))) + } else Nil + + val entities = + Seq(userEntityId, candidateEntityId) ++ similarToUserId ++ authorTopicEntity + FeatureStoreRequest(entities) + } + + val predictionRecordsFut = dynamicFeatureStoreClient(featureRequests, target) + val candidateFeatureMap = predictionRecordsFut.map { predictionRecords => + // we can zip predictionRecords with candidates as the order is preserved in the client + candidates + .zip(predictionRecords).map { + case (candidate, predictionRecord) => + candidate -> adaptAdditionalFeaturesToDataRecord( + adapter.adaptToDataRecord(predictionRecord), + adapterStats, + FeatureStoreSource.featureAdapters) + }.toMap + } + Stitch + .callFuture(candidateFeatureMap) + .within(target.params(FeatureStoreSourceParams.GlobalFetchTimeout))( + com.twitter.finagle.util.DefaultTimer) + .rescue { + case _: TimeoutException => + Stitch.value(Map.empty[CandidateUser, DataRecord]) + } + }.getOrElse(Stitch.value(Map.empty[CandidateUser, DataRecord])) + } +} + +object FeatureStoreUserMetricCountsSource { + private val DatasetCacheScope = "feature_store_local_cache_mc_user_counting" + private val DefaultCacheMaxKeys = 20000 + + val allFeatures: Set[BoundFeature[_ <: EntityId, _]] = + FeatureStoreFeatures.candidateUserMetricCountFeatures ++ + FeatureStoreFeatures.similarToUserMetricCountFeatures ++ + FeatureStoreFeatures.targetUserMetricCountFeatures + + val getFeatureContext: FeatureContext = + BoundFeatureSet(allFeatures).toFeatureContext + + val dynamicHydrationConfig: DynamicHydrationConfig[HasParams] = + DynamicHydrationConfig( + Set( + GatedFeatures( + boundFeatureSet = BoundFeatureSet(FeatureStoreFeatures.targetUserMetricCountFeatures), + gate = HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForMetricCenterUserCounting) & + HasParams.paramGate(FeatureStoreSourceParams.EnableTargetUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(FeatureStoreFeatures.candidateUserMetricCountFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForMetricCenterUserCounting) & + HasParams.paramGate(FeatureStoreSourceParams.EnableCandidateUserFeatures) + ), + GatedFeatures( + boundFeatureSet = BoundFeatureSet(FeatureStoreFeatures.similarToUserMetricCountFeatures), + gate = + HasParams + .paramGate(FeatureStoreSourceParams.EnableSeparateClientForMetricCenterUserCounting) & + HasParams.paramGate(FeatureStoreSourceParams.EnableSimilarToUserFeatures) + ), + )) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/HydrationSourcesModule.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/HydrationSourcesModule.scala new file mode 100644 index 000000000..59e3ea186 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/HydrationSourcesModule.scala @@ -0,0 +1,152 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.escherbird.util.stitchcache.StitchCache +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.stitch.Stitch +import com.twitter.storage.client.manhattan.bijections.Bijections.BinaryCompactScalaInjection +import com.twitter.storage.client.manhattan.bijections.Bijections.LongInjection +import com.twitter.storage.client.manhattan.kv.Guarantee +import com.twitter.storage.client.manhattan.kv.ManhattanKVClient +import com.twitter.storage.client.manhattan.kv.ManhattanKVClientMtlsParams +import com.twitter.storage.client.manhattan.kv.ManhattanKVEndpoint +import com.twitter.storage.client.manhattan.kv.ManhattanKVEndpointBuilder +import com.twitter.storage.client.manhattan.kv.impl.Component +import com.twitter.storage.client.manhattan.kv.impl.Component0 +import com.twitter.storage.client.manhattan.kv.impl.KeyDescriptor +import com.twitter.storage.client.manhattan.kv.impl.ValueDescriptor +import com.twitter.strato.generated.client.ml.featureStore.McUserCountingOnUserClientColumn +import com.twitter.strato.generated.client.ml.featureStore.onboarding.TimelinesAuthorFeaturesOnUserClientColumn +import com.twitter.timelines.author_features.v1.thriftscala.AuthorFeatures +import com.twitter.conversions.DurationOps._ +import com.twitter.onboarding.relevance.features.thriftscala.MCUserCountingFeatures +import java.lang.{Long => JLong} +import scala.util.Random + +object HydrationSourcesModule extends TwitterModule { + + val readFromManhattan = flag( + "feature_hydration_enable_reading_from_manhattan", + false, + "Whether to read the data from Manhattan or Strato") + + val manhattanAppId = + flag("frs_readonly.appId", "ml_features_athena", "RO App Id used by the RO FRS service") + val manhattanDestName = flag( + "frs_readonly.destName", + "/s/manhattan/athena.native-thrift", + "manhattan Dest Name used by the RO FRS service") + + @Provides + @Singleton + def providesAthenaManhattanClient( + serviceIdentifier: ServiceIdentifier + ): ManhattanKVEndpoint = { + val client = ManhattanKVClient( + manhattanAppId(), + manhattanDestName(), + ManhattanKVClientMtlsParams(serviceIdentifier) + ) + ManhattanKVEndpointBuilder(client) + .defaultGuarantee(Guarantee.Weak) + .build() + } + + val manhattanAuthorDataset = "timelines_author_features" + private val defaultCacheMaxKeys = 60000 + private val cacheTTL = 12.hours + private val earlyExpiration = 0.2 + + val authorKeyDesc = KeyDescriptor(Component(LongInjection), Component0) + val authorDatasetKey = authorKeyDesc.withDataset(manhattanAuthorDataset) + val authorValDesc = ValueDescriptor(BinaryCompactScalaInjection(AuthorFeatures)) + + @Provides + @Singleton + def timelinesAuthorStitchCache( + manhattanReadOnlyEndpoint: ManhattanKVEndpoint, + timelinesAuthorFeaturesColumn: TimelinesAuthorFeaturesOnUserClientColumn, + stats: StatsReceiver + ): StitchCache[JLong, Option[AuthorFeatures]] = { + + val stitchCacheStats = + stats + .scope("direct_ds_source_feature_hydration_module").scope("timelines_author") + + val stStat = stitchCacheStats.counter("readFromStrato-each") + val mhtStat = stitchCacheStats.counter("readFromManhattan-each") + + val timelinesAuthorUnderlyingCall = if (readFromManhattan()) { + stitchCacheStats.counter("readFromManhattan").incr() + val authorCacheUnderlyingManhattanCall: JLong => Stitch[Option[AuthorFeatures]] = id => { + mhtStat.incr() + val key = authorDatasetKey.withPkey(id) + manhattanReadOnlyEndpoint + .get(key = key, valueDesc = authorValDesc).map(_.map(value => + clearUnsedFieldsForAuthorFeature(value.contents))) + } + authorCacheUnderlyingManhattanCall + } else { + stitchCacheStats.counter("readFromStrato").incr() + val authorCacheUnderlyingStratoCall: JLong => Stitch[Option[AuthorFeatures]] = id => { + stStat.incr() + val timelinesAuthorFeaturesFetcher = timelinesAuthorFeaturesColumn.fetcher + timelinesAuthorFeaturesFetcher + .fetch(id).map(result => result.v.map(clearUnsedFieldsForAuthorFeature)) + } + authorCacheUnderlyingStratoCall + } + + StitchCache[JLong, Option[AuthorFeatures]]( + underlyingCall = timelinesAuthorUnderlyingCall, + maxCacheSize = defaultCacheMaxKeys, + ttl = randomizedTTL(cacheTTL.inSeconds).seconds, + statsReceiver = stitchCacheStats + ) + + } + + // Not adding manhattan since it didn't seem useful for Author Data, we can add in another phab + // if deemed helpful + @Provides + @Singleton + def metricCenterUserCountingStitchCache( + mcUserCountingFeaturesColumn: McUserCountingOnUserClientColumn, + stats: StatsReceiver + ): StitchCache[JLong, Option[MCUserCountingFeatures]] = { + + val stitchCacheStats = + stats + .scope("direct_ds_source_feature_hydration_module").scope("mc_user_counting") + + val stStat = stitchCacheStats.counter("readFromStrato-each") + stitchCacheStats.counter("readFromStrato").incr() + + val mcUserCountingCacheUnderlyingCall: JLong => Stitch[Option[MCUserCountingFeatures]] = id => { + stStat.incr() + val mcUserCountingFeaturesFetcher = mcUserCountingFeaturesColumn.fetcher + mcUserCountingFeaturesFetcher.fetch(id).map(_.v) + } + + StitchCache[JLong, Option[MCUserCountingFeatures]]( + underlyingCall = mcUserCountingCacheUnderlyingCall, + maxCacheSize = defaultCacheMaxKeys, + ttl = randomizedTTL(cacheTTL.inSeconds).seconds, + statsReceiver = stitchCacheStats + ) + + } + + // clear out fields we don't need to save cache space + private def clearUnsedFieldsForAuthorFeature(entry: AuthorFeatures): AuthorFeatures = { + entry.unsetUserTopics.unsetUserHealth.unsetAuthorCountryCodeAggregates.unsetOriginalAuthorCountryCodeAggregates + } + + // To avoid a cache stampede. See https://en.wikipedia.org/wiki/Cache_stampede + private def randomizedTTL(ttl: Long): Long = { + (ttl - ttl * earlyExpiration * Random.nextDouble()).toLong + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/PreFetchedFeatureSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/PreFetchedFeatureSource.scala new file mode 100644 index 000000000..51975c487 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/PreFetchedFeatureSource.scala @@ -0,0 +1,36 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.google.inject.Inject +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.feature_hydration.adapters.PreFetchedFeatureAdapter +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +@Provides +@Singleton +class PreFetchedFeatureSource @Inject() () extends FeatureSource { + override def id: FeatureSourceId = FeatureSourceId.PreFetchedFeatureSourceId + override def featureContext: FeatureContext = PreFetchedFeatureAdapter.getFeatureContext + override def hydrateFeatures( + target: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + Stitch.value(candidates.map { candidate => + candidate -> PreFetchedFeatureAdapter.adaptToDataRecord((target, candidate)) + }.toMap) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/UserScoringFeatureSource.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/UserScoringFeatureSource.scala new file mode 100644 index 000000000..155d9e442 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/UserScoringFeatureSource.scala @@ -0,0 +1,86 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.google.inject.Inject +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSource +import com.twitter.follow_recommendations.common.feature_hydration.common.FeatureSourceId +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.DataRecordMerger +import com.twitter.ml.api.FeatureContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +/** + * This source wraps around the separate sources that we hydrate features from + * @param featureStoreSource gets features that require a RPC call to feature store + * @param stratoFeatureHydrationSource gets features that require a RPC call to strato columns + * @param clientContextSource gets features that are already present in the request context + * @param candidateAlgorithmSource gets features that are already present from candidate generation + * @param preFetchedFeatureSource gets features that were prehydrated (shared in request lifecycle) + */ +@Provides +@Singleton +class UserScoringFeatureSource @Inject() ( + featureStoreSource: FeatureStoreSource, + featureStoreGizmoduckSource: FeatureStoreGizmoduckSource, + featureStorePostNuxAlgorithmSource: FeatureStorePostNuxAlgorithmSource, + featureStoreTimelinesAuthorSource: FeatureStoreTimelinesAuthorSource, + featureStoreUserMetricCountsSource: FeatureStoreUserMetricCountsSource, + clientContextSource: ClientContextSource, + candidateAlgorithmSource: CandidateAlgorithmSource, + preFetchedFeatureSource: PreFetchedFeatureSource) + extends FeatureSource { + + override val id: FeatureSourceId = FeatureSourceId.UserScoringFeatureSourceId + + override val featureContext: FeatureContext = FeatureContext.merge( + featureStoreSource.featureContext, + featureStoreGizmoduckSource.featureContext, + featureStorePostNuxAlgorithmSource.featureContext, + featureStoreTimelinesAuthorSource.featureContext, + featureStoreUserMetricCountsSource.featureContext, + clientContextSource.featureContext, + candidateAlgorithmSource.featureContext, + preFetchedFeatureSource.featureContext, + ) + + val sources = + Seq( + featureStoreSource, + featureStorePostNuxAlgorithmSource, + featureStoreTimelinesAuthorSource, + featureStoreUserMetricCountsSource, + featureStoreGizmoduckSource, + clientContextSource, + candidateAlgorithmSource, + preFetchedFeatureSource + ) + + val dataRecordMerger = new DataRecordMerger + + def hydrateFeatures( + target: HasClientContext + with HasPreFetchedFeature + with HasParams + with HasSimilarToContext + with HasDisplayLocation, + candidates: Seq[CandidateUser] + ): Stitch[Map[CandidateUser, DataRecord]] = { + Stitch.collect(sources.map(_.hydrateFeatures(target, candidates))).map { featureMaps => + (for { + candidate <- candidates + } yield { + val combinedDataRecord = new DataRecord + featureMaps + .flatMap(_.get(candidate).toSeq).foreach(dataRecordMerger.merge(combinedDataRecord, _)) + candidate -> combinedDataRecord + }).toMap + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/Utils.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/Utils.scala new file mode 100644 index 000000000..99bd71310 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources/Utils.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.feature_hydration.sources + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.IRecordOneToOneAdapter +import scala.util.Random + +/** + * Helper functions for FeatureStoreSource operations in FRS are available here. + */ +object Utils { + + private val EarlyExpiration = 0.2 + + private[common] def adaptAdditionalFeaturesToDataRecord( + record: DataRecord, + adapterStats: StatsReceiver, + featureAdapters: Seq[IRecordOneToOneAdapter[DataRecord]] + ): DataRecord = { + featureAdapters.foldRight(record) { (adapter, record) => + adapterStats.counter(adapter.getClass.getSimpleName).incr() + adapter.adaptToDataRecord(record) + } + } + + // To avoid a cache stampede. See https://en.wikipedia.org/wiki/Cache_stampede + private[common] def randomizedTTL(ttl: Long): Long = { + (ttl - ttl * EarlyExpiration * Random.nextDouble()).toLong + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/BUILD new file mode 100644 index 000000000..b5ece498a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/BUILD @@ -0,0 +1,9 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/LocationFeature.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/LocationFeature.scala new file mode 100644 index 000000000..5325c6b56 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/LocationFeature.scala @@ -0,0 +1,10 @@ +package com.twitter.follow_recommendations.common.features + +import com.twitter.follow_recommendations.common.models.GeohashAndCountryCode +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +case object LocationFeature + extends FeatureWithDefaultOnFailure[PipelineQuery, Option[GeohashAndCountryCode]] { + override val defaultValue: Option[GeohashAndCountryCode] = None +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/TrackingTokenFeature.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/TrackingTokenFeature.scala new file mode 100644 index 000000000..23571c8df --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/TrackingTokenFeature.scala @@ -0,0 +1,8 @@ +package com.twitter.follow_recommendations.common.features + +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +case object TrackingTokenFeature extends FeatureWithDefaultOnFailure[PipelineQuery, Option[Int]] { + override val defaultValue: Option[Int] = None +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/UserStateFeature.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/UserStateFeature.scala new file mode 100644 index 000000000..73072b295 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features/UserStateFeature.scala @@ -0,0 +1,7 @@ +package com.twitter.follow_recommendations.common.features + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +case object UserStateFeature extends Feature[PipelineQuery, Option[UserState]] {} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/AddressBookMetadata.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/AddressBookMetadata.scala new file mode 100644 index 000000000..303417d23 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/AddressBookMetadata.scala @@ -0,0 +1,29 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier + +/** + * contains information if a candidate is from a candidate source generated using the following signals. + */ +case class AddressBookMetadata( + inForwardPhoneBook: Boolean, + inReversePhoneBook: Boolean, + inForwardEmailBook: Boolean, + inReverseEmailBook: Boolean) + +object AddressBookMetadata { + + val ForwardPhoneBookCandidateSource = CandidateSourceIdentifier( + Algorithm.ForwardPhoneBook.toString) + + val ReversePhoneBookCandidateSource = CandidateSourceIdentifier( + Algorithm.ReversePhoneBook.toString) + + val ForwardEmailBookCandidateSource = CandidateSourceIdentifier( + Algorithm.ForwardEmailBook.toString) + + val ReverseEmailBookCandidateSource = CandidateSourceIdentifier( + Algorithm.ReverseEmailBookIbis.toString) + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/AlgorithmType.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/AlgorithmType.scala new file mode 100644 index 000000000..b60afb8b3 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/AlgorithmType.scala @@ -0,0 +1,20 @@ +package com.twitter.follow_recommendations.common.models + +/** + * Each candidate source algorithm could be based on one, or more, of the 4 general type of + * information we have on a user: + * 1. Social: the user's connections in Twitter's social graph. + * 2. Geo: the user's geographical information. + * 3. Interest: information on the user's chosen interests. + * 4. Activity: information on the user's past activity. + * + * Note that an algorithm can fall under more than one of these categories. + */ +object AlgorithmType extends Enumeration { + type AlgorithmType = Value + + val Social: Value = Value("social") + val Geo: Value = Value("geo") + val Activity: Value = Value("activity") + val Interest: Value = Value("interest") +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/BUILD new file mode 100644 index 000000000..c4916b6d0 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/BUILD @@ -0,0 +1,29 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/constants", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/model", + "hermit/hermit-ml/src/main/scala/com/twitter/hermit/ml/models", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "scrooge/scrooge-serializer/src/main/scala", + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/wtf/scalding/jobs/strong_tie_prediction", + "src/thrift/com/twitter/ads/adserver:adserver_rpc-scala", + "src/thrift/com/twitter/timelines/author_features/user_health:thrift-scala", + "user-signal-service/thrift/src/main/thrift:thrift-scala", + "util/util-slf4j-api/src/main/scala/com/twitter/util/logging", + ], + exports = [ + "util/util-slf4j-api/src/main/scala/com/twitter/util/logging", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/CandidateUser.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/CandidateUser.scala new file mode 100644 index 000000000..178f34b30 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/CandidateUser.scala @@ -0,0 +1,192 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.hermit.constants.AlgorithmFeedbackTokens +import com.twitter.ml.api.thriftscala.{DataRecord => TDataRecord} +import com.twitter.ml.api.util.ScalaToJavaDataRecordConversions +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier + +trait FollowableEntity extends UniversalNoun[Long] + +trait Recommendation + extends FollowableEntity + with HasReason + with HasAdMetadata + with HasTrackingToken { + val score: Option[Double] + + def toThrift: t.Recommendation + + def toOfflineThrift: offline.OfflineRecommendation +} + +case class CandidateUser( + override val id: Long, + override val score: Option[Double] = None, + override val reason: Option[Reason] = None, + override val userCandidateSourceDetails: Option[UserCandidateSourceDetails] = None, + override val adMetadata: Option[AdMetadata] = None, + override val trackingToken: Option[TrackingToken] = None, + override val dataRecord: Option[RichDataRecord] = None, + override val scores: Option[Scores] = None, + override val infoPerRankingStage: Option[scala.collection.Map[String, RankingInfo]] = None, + override val params: Params = Params.Invalid, + override val engagements: Seq[EngagementType] = Nil, + override val recommendationFlowIdentifier: Option[String] = None) + extends Recommendation + with HasUserCandidateSourceDetails + with HasDataRecord + with HasScores + with HasParams + with HasEngagements + with HasRecommendationFlowIdentifier + with HasInfoPerRankingStage { + + val rankerIdsStr: Option[Seq[String]] = { + val strs = scores.map(_.scores.flatMap(_.rankerId.map(_.toString))) + if (strs.exists(_.nonEmpty)) strs else None + } + + val thriftDataRecord: Option[TDataRecord] = for { + richDataRecord <- dataRecord + dr <- richDataRecord.dataRecord + } yield { + ScalaToJavaDataRecordConversions.javaDataRecord2ScalaDataRecord(dr) + } + + val toOfflineUserThrift: offline.OfflineUserRecommendation = { + val scoringDetails = + if (userCandidateSourceDetails.isEmpty && score.isEmpty && thriftDataRecord.isEmpty) { + None + } else { + Some( + offline.ScoringDetails( + candidateSourceDetails = userCandidateSourceDetails.map(_.toOfflineThrift), + score = score, + dataRecord = thriftDataRecord, + rankerIds = rankerIdsStr, + infoPerRankingStage = infoPerRankingStage.map(_.mapValues(_.toOfflineThrift)) + ) + ) + } + offline + .OfflineUserRecommendation( + id, + reason.map(_.toOfflineThrift), + adMetadata.map(_.adImpression), + trackingToken.map(_.toOfflineThrift), + scoringDetails = scoringDetails + ) + } + + override val toOfflineThrift: offline.OfflineRecommendation = + offline.OfflineRecommendation.User(toOfflineUserThrift) + + val toUserThrift: t.UserRecommendation = { + val scoringDetails = + if (userCandidateSourceDetails.isEmpty && score.isEmpty && thriftDataRecord.isEmpty && scores.isEmpty) { + None + } else { + Some( + t.ScoringDetails( + candidateSourceDetails = userCandidateSourceDetails.map(_.toThrift), + score = score, + dataRecord = thriftDataRecord, + rankerIds = rankerIdsStr, + debugDataRecord = dataRecord.flatMap(_.debugDataRecord), + infoPerRankingStage = infoPerRankingStage.map(_.mapValues(_.toThrift)) + ) + ) + } + t.UserRecommendation( + userId = id, + reason = reason.map(_.toThrift), + adImpression = adMetadata.map(_.adImpression), + trackingInfo = trackingToken.map(TrackingToken.serialize), + scoringDetails = scoringDetails, + recommendationFlowIdentifier = recommendationFlowIdentifier + ) + } + + override val toThrift: t.Recommendation = + t.Recommendation.User(toUserThrift) + + def setFollowProof(followProofOpt: Option[FollowProof]): CandidateUser = { + this.copy( + reason = reason + .map { reason => + reason.copy( + accountProof = reason.accountProof + .map { accountProof => + accountProof.copy(followProof = followProofOpt) + }.orElse(Some(AccountProof(followProof = followProofOpt))) + ) + }.orElse(Some(Reason(Some(AccountProof(followProof = followProofOpt))))) + ) + } + + def addScore(score: Score): CandidateUser = { + val newScores = scores match { + case Some(existingScores) => existingScores.copy(scores = existingScores.scores :+ score) + case None => Scores(Seq(score)) + } + this.copy(scores = Some(newScores)) + } +} + +object CandidateUser { + val DefaultCandidateScore = 1.0 + + // for converting candidate in ScoringUserRequest + def fromUserRecommendation(candidate: t.UserRecommendation): CandidateUser = { + // we only use the primary candidate source for now + val userCandidateSourceDetails = for { + scoringDetails <- candidate.scoringDetails + candidateSourceDetails <- scoringDetails.candidateSourceDetails + } yield UserCandidateSourceDetails( + primaryCandidateSource = candidateSourceDetails.primarySource + .flatMap(AlgorithmFeedbackTokens.TokenToAlgorithmMap.get).map { algo => + CandidateSourceIdentifier(algo.toString) + }, + candidateSourceScores = fromThriftScoreMap(candidateSourceDetails.candidateSourceScores), + candidateSourceRanks = fromThriftRankMap(candidateSourceDetails.candidateSourceRanks), + addressBookMetadata = None + ) + CandidateUser( + id = candidate.userId, + score = candidate.scoringDetails.flatMap(_.score), + reason = candidate.reason.map(Reason.fromThrift), + userCandidateSourceDetails = userCandidateSourceDetails, + trackingToken = candidate.trackingInfo.map(TrackingToken.deserialize), + recommendationFlowIdentifier = candidate.recommendationFlowIdentifier, + infoPerRankingStage = candidate.scoringDetails.flatMap( + _.infoPerRankingStage.map(_.mapValues(RankingInfo.fromThrift))) + ) + } + + def fromThriftScoreMap( + thriftMapOpt: Option[scala.collection.Map[String, Double]] + ): Map[CandidateSourceIdentifier, Option[Double]] = { + (for { + thriftMap <- thriftMapOpt.toSeq + (algoName, score) <- thriftMap.toSeq + } yield { + CandidateSourceIdentifier(algoName) -> Some(score) + }).toMap + } + + def fromThriftRankMap( + thriftMapOpt: Option[scala.collection.Map[String, Int]] + ): Map[CandidateSourceIdentifier, Int] = { + (for { + thriftMap <- thriftMapOpt.toSeq + (algoName, rank) <- thriftMap.toSeq + } yield { + CandidateSourceIdentifier(algoName) -> rank + }).toMap + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/ClientContextConverter.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/ClientContextConverter.scala new file mode 100644 index 000000000..ac601371c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/ClientContextConverter.scala @@ -0,0 +1,53 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => frs} +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext + +object ClientContextConverter { + def toFRSOfflineClientContextThrift( + productMixerClientContext: ClientContext + ): offline.OfflineClientContext = + offline.OfflineClientContext( + productMixerClientContext.userId, + productMixerClientContext.guestId, + productMixerClientContext.appId, + productMixerClientContext.countryCode, + productMixerClientContext.languageCode, + productMixerClientContext.guestIdAds, + productMixerClientContext.guestIdMarketing + ) + + def fromThrift(clientContext: frs.ClientContext): ClientContext = ClientContext( + userId = clientContext.userId, + guestId = clientContext.guestId, + appId = clientContext.appId, + ipAddress = clientContext.ipAddress, + userAgent = clientContext.userAgent, + countryCode = clientContext.countryCode, + languageCode = clientContext.languageCode, + isTwoffice = clientContext.isTwoffice, + userRoles = clientContext.userRoles.map(_.toSet), + deviceId = clientContext.deviceId, + guestIdAds = clientContext.guestIdAds, + guestIdMarketing = clientContext.guestIdMarketing, + mobileDeviceId = None, + mobileDeviceAdId = None, + limitAdTracking = None + ) + + def toThrift(clientContext: ClientContext): frs.ClientContext = frs.ClientContext( + userId = clientContext.userId, + guestId = clientContext.guestIdAds, + appId = clientContext.appId, + ipAddress = clientContext.ipAddress, + userAgent = clientContext.userAgent, + countryCode = clientContext.countryCode, + languageCode = clientContext.languageCode, + isTwoffice = clientContext.isTwoffice, + userRoles = clientContext.userRoles, + deviceId = clientContext.deviceId, + guestIdAds = clientContext.guestIdAds, + guestIdMarketing = clientContext.guestIdMarketing + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/DisplayLocation.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/DisplayLocation.scala new file mode 100644 index 000000000..b49baf034 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/DisplayLocation.scala @@ -0,0 +1,420 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.adserver.thriftscala.{DisplayLocation => AdDisplayLocation} +import com.twitter.follow_recommendations.logging.thriftscala.{ + OfflineDisplayLocation => TOfflineDisplayLocation +} +import com.twitter.follow_recommendations.thriftscala.{DisplayLocation => TDisplayLocation} + +sealed trait DisplayLocation { + def toThrift: TDisplayLocation + + def toOfflineThrift: TOfflineDisplayLocation + + def toFsName: String + + // corresponding display location in adserver if available + // make sure to be consistent with the definition here + def toAdDisplayLocation: Option[AdDisplayLocation] = None +} + +/** + * Make sure you add the new DL to the following files and redeploy our attribution jobs + * - follow-recommendations-service/thrift/src/main/thrift/display_location.thrift + * - follow-recommendations-service/thrift/src/main/thrift/logging/display_location.thrift + * - follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/DisplayLocation.scala + */ + +object DisplayLocation { + + case object ProfileSidebar extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ProfileSidebar + override val toOfflineThrift: TOfflineDisplayLocation = TOfflineDisplayLocation.ProfileSidebar + override val toFsName: String = "ProfileSidebar" + + override val toAdDisplayLocation: Option[AdDisplayLocation] = Some( + AdDisplayLocation.ProfileAccountsSidebar + ) + } + + case object HomeTimeline extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.HomeTimeline + override val toOfflineThrift: TOfflineDisplayLocation = TOfflineDisplayLocation.HomeTimeline + override val toFsName: String = "HomeTimeline" + override val toAdDisplayLocation: Option[AdDisplayLocation] = Some( + // it is based on the logic that HTL DL should correspond to Sidebar: + AdDisplayLocation.WtfSidebar + ) + } + + case object ReactiveFollow extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ReactiveFollow + override val toOfflineThrift: TOfflineDisplayLocation = TOfflineDisplayLocation.ReactiveFollow + override val toFsName: String = "ReactiveFollow" + } + + case object ExploreTab extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ExploreTab + override val toOfflineThrift: TOfflineDisplayLocation = TOfflineDisplayLocation.ExploreTab + override val toFsName: String = "ExploreTab" + } + + case object MagicRecs extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.MagicRecs + override val toOfflineThrift: TOfflineDisplayLocation = TOfflineDisplayLocation.MagicRecs + override val toFsName: String = "MagicRecs" + } + + case object AbUploadInjection extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.AbUploadInjection + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.AbUploadInjection + override val toFsName: String = "AbUploadInjection" + } + + case object RuxLandingPage extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.RuxLandingPage + override val toOfflineThrift: TOfflineDisplayLocation = TOfflineDisplayLocation.RuxLandingPage + override val toFsName: String = "RuxLandingPage" + } + + case object ProfileBonusFollow extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ProfileBonusFollow + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.ProfileBonusFollow + override val toFsName: String = "ProfileBonusFollow" + } + + case object ElectionExploreWtf extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ElectionExploreWtf + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.ElectionExploreWtf + override val toFsName: String = "ElectionExploreWtf" + } + + case object ClusterFollow extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ClusterFollow + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.ClusterFollow + override val toFsName: String = "ClusterFollow" + override val toAdDisplayLocation: Option[AdDisplayLocation] = Some( + AdDisplayLocation.ClusterFollow + ) + } + + case object HtlBonusFollow extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.HtlBonusFollow + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.HtlBonusFollow + override val toFsName: String = "HtlBonusFollow" + } + + case object TopicLandingPageHeader extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.TopicLandingPageHeader + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.TopicLandingPageHeader + override val toFsName: String = "TopicLandingPageHeader" + } + + case object NewUserSarusBackfill extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.NewUserSarusBackfill + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.NewUserSarusBackfill + override val toFsName: String = "NewUserSarusBackfill" + } + + case object NuxPymk extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.NuxPymk + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.NuxPymk + override val toFsName: String = "NuxPymk" + } + + case object NuxInterests extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.NuxInterests + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.NuxInterests + override val toFsName: String = "NuxInterests" + } + + case object NuxTopicBonusFollow extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.NuxTopicBonusFollow + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.NuxTopicBonusFollow + override val toFsName: String = "NuxTopicBonusFollow" + } + + case object Sidebar extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.Sidebar + override val toOfflineThrift: TOfflineDisplayLocation = TOfflineDisplayLocation.Sidebar + override val toFsName: String = "Sidebar" + + override val toAdDisplayLocation: Option[AdDisplayLocation] = Some( + AdDisplayLocation.WtfSidebar + ) + } + + case object CampaignForm extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.CampaignForm + override val toOfflineThrift: TOfflineDisplayLocation = TOfflineDisplayLocation.CampaignForm + override val toFsName: String = "CampaignForm" + } + + case object ProfileTopFollowers extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ProfileTopFollowers + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.ProfileTopFollowers + override val toFsName: String = "ProfileTopFollowers" + } + + case object ProfileTopFollowing extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ProfileTopFollowing + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.ProfileTopFollowing + override val toFsName: String = "ProfileTopFollowing" + } + + case object RuxPymk extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.RuxPymk + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.RuxPymk + override val toFsName: String = "RuxPymk" + } + + case object IndiaCovid19CuratedAccountsWtf extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.IndiaCovid19CuratedAccountsWtf + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.IndiaCovid19CuratedAccountsWtf + override val toFsName: String = "IndiaCovid19CuratedAccountsWtf" + } + + case object PeoplePlusPlus extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.PeoplePlusPlus + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.PeoplePlusPlus + override val toFsName: String = "PeoplePlusPlus" + } + + case object TweetNotificationRecs extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.TweetNotificationRecs + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.TweetNotificationRecs + override val toFsName: String = "TweetNotificationRecs" + } + + case object ProfileDeviceFollow extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ProfileDeviceFollow + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.ProfileDeviceFollow + override val toFsName: String = "ProfileDeviceFollow" + } + + case object RecosBackfill extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.RecosBackfill + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.RecosBackfill + override val toFsName: String = "RecosBackfill" + } + + case object HtlSpaceHosts extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.HtlSpaceHosts + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.HtlSpaceHosts + override val toFsName: String = "HtlSpaceHosts" + } + + case object PostNuxFollowTask extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.PostNuxFollowTask + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.PostNuxFollowTask + override val toFsName: String = "PostNuxFollowTask" + } + + case object TopicLandingPage extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.TopicLandingPage + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.TopicLandingPage + override val toFsName: String = "TopicLandingPage" + } + + case object UserTypeaheadPrefetch extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.UserTypeaheadPrefetch + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.UserTypeaheadPrefetch + override val toFsName: String = "UserTypeaheadPrefetch" + } + + case object HomeTimelineRelatableAccounts extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.HomeTimelineRelatableAccounts + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.HomeTimelineRelatableAccounts + override val toFsName: String = "HomeTimelineRelatableAccounts" + } + + case object NuxGeoCategory extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.NuxGeoCategory + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.NuxGeoCategory + override val toFsName: String = "NuxGeoCategory" + } + + case object NuxInterestsCategory extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.NuxInterestsCategory + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.NuxInterestsCategory + override val toFsName: String = "NuxInterestsCategory" + } + + case object TopArticles extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.TopArticles + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.TopArticles + override val toFsName: String = "TopArticles" + } + + case object NuxPymkCategory extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.NuxPymkCategory + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.NuxPymkCategory + override val toFsName: String = "NuxPymkCategory" + } + + case object HomeTimelineTweetRecs extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.HomeTimelineTweetRecs + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.HomeTimelineTweetRecs + override val toFsName: String = "HomeTimelineTweetRecs" + } + + case object HtlBulkFriendFollows extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.HtlBulkFriendFollows + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.HtlBulkFriendFollows + override val toFsName: String = "HtlBulkFriendFollows" + } + + case object NuxAutoFollow extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.NuxAutoFollow + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.NuxAutoFollow + override val toFsName: String = "NuxAutoFollow" + } + + case object SearchBonusFollow extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.SearchBonusFollow + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.SearchBonusFollow + override val toFsName: String = "SearchBonusFollow" + } + + case object ContentRecommender extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.ContentRecommender + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.ContentRecommender + override val toFsName: String = "ContentRecommender" + } + + case object HomeTimelineReverseChron extends DisplayLocation { + override val toThrift: TDisplayLocation = TDisplayLocation.HomeTimelineReverseChron + override val toOfflineThrift: TOfflineDisplayLocation = + TOfflineDisplayLocation.HomeTimelineReverseChron + override val toFsName: String = "HomeTimelineReverseChron" + } + + def fromThrift(displayLocation: TDisplayLocation): DisplayLocation = displayLocation match { + case TDisplayLocation.ProfileSidebar => ProfileSidebar + case TDisplayLocation.HomeTimeline => HomeTimeline + case TDisplayLocation.MagicRecs => MagicRecs + case TDisplayLocation.AbUploadInjection => AbUploadInjection + case TDisplayLocation.RuxLandingPage => RuxLandingPage + case TDisplayLocation.ProfileBonusFollow => ProfileBonusFollow + case TDisplayLocation.ElectionExploreWtf => ElectionExploreWtf + case TDisplayLocation.ClusterFollow => ClusterFollow + case TDisplayLocation.HtlBonusFollow => HtlBonusFollow + case TDisplayLocation.ReactiveFollow => ReactiveFollow + case TDisplayLocation.TopicLandingPageHeader => TopicLandingPageHeader + case TDisplayLocation.NewUserSarusBackfill => NewUserSarusBackfill + case TDisplayLocation.NuxPymk => NuxPymk + case TDisplayLocation.NuxInterests => NuxInterests + case TDisplayLocation.NuxTopicBonusFollow => NuxTopicBonusFollow + case TDisplayLocation.ExploreTab => ExploreTab + case TDisplayLocation.Sidebar => Sidebar + case TDisplayLocation.CampaignForm => CampaignForm + case TDisplayLocation.ProfileTopFollowers => ProfileTopFollowers + case TDisplayLocation.ProfileTopFollowing => ProfileTopFollowing + case TDisplayLocation.RuxPymk => RuxPymk + case TDisplayLocation.IndiaCovid19CuratedAccountsWtf => IndiaCovid19CuratedAccountsWtf + case TDisplayLocation.PeoplePlusPlus => PeoplePlusPlus + case TDisplayLocation.TweetNotificationRecs => TweetNotificationRecs + case TDisplayLocation.ProfileDeviceFollow => ProfileDeviceFollow + case TDisplayLocation.RecosBackfill => RecosBackfill + case TDisplayLocation.HtlSpaceHosts => HtlSpaceHosts + case TDisplayLocation.PostNuxFollowTask => PostNuxFollowTask + case TDisplayLocation.TopicLandingPage => TopicLandingPage + case TDisplayLocation.UserTypeaheadPrefetch => UserTypeaheadPrefetch + case TDisplayLocation.HomeTimelineRelatableAccounts => HomeTimelineRelatableAccounts + case TDisplayLocation.NuxGeoCategory => NuxGeoCategory + case TDisplayLocation.NuxInterestsCategory => NuxInterestsCategory + case TDisplayLocation.TopArticles => TopArticles + case TDisplayLocation.NuxPymkCategory => NuxPymkCategory + case TDisplayLocation.HomeTimelineTweetRecs => HomeTimelineTweetRecs + case TDisplayLocation.HtlBulkFriendFollows => HtlBulkFriendFollows + case TDisplayLocation.NuxAutoFollow => NuxAutoFollow + case TDisplayLocation.SearchBonusFollow => SearchBonusFollow + case TDisplayLocation.ContentRecommender => ContentRecommender + case TDisplayLocation.HomeTimelineReverseChron => HomeTimelineReverseChron + case TDisplayLocation.EnumUnknownDisplayLocation(i) => + throw new UnknownDisplayLocationException( + s"Unknown display location thrift enum with value: ${i}") + } + + def fromOfflineThrift(displayLocation: TOfflineDisplayLocation): DisplayLocation = + displayLocation match { + case TOfflineDisplayLocation.ProfileSidebar => ProfileSidebar + case TOfflineDisplayLocation.HomeTimeline => HomeTimeline + case TOfflineDisplayLocation.MagicRecs => MagicRecs + case TOfflineDisplayLocation.AbUploadInjection => AbUploadInjection + case TOfflineDisplayLocation.RuxLandingPage => RuxLandingPage + case TOfflineDisplayLocation.ProfileBonusFollow => ProfileBonusFollow + case TOfflineDisplayLocation.ElectionExploreWtf => ElectionExploreWtf + case TOfflineDisplayLocation.ClusterFollow => ClusterFollow + case TOfflineDisplayLocation.HtlBonusFollow => HtlBonusFollow + case TOfflineDisplayLocation.TopicLandingPageHeader => TopicLandingPageHeader + case TOfflineDisplayLocation.NewUserSarusBackfill => NewUserSarusBackfill + case TOfflineDisplayLocation.NuxPymk => NuxPymk + case TOfflineDisplayLocation.NuxInterests => NuxInterests + case TOfflineDisplayLocation.NuxTopicBonusFollow => NuxTopicBonusFollow + case TOfflineDisplayLocation.ExploreTab => ExploreTab + case TOfflineDisplayLocation.ReactiveFollow => ReactiveFollow + case TOfflineDisplayLocation.Sidebar => Sidebar + case TOfflineDisplayLocation.CampaignForm => CampaignForm + case TOfflineDisplayLocation.ProfileTopFollowers => ProfileTopFollowers + case TOfflineDisplayLocation.ProfileTopFollowing => ProfileTopFollowing + case TOfflineDisplayLocation.RuxPymk => RuxPymk + case TOfflineDisplayLocation.IndiaCovid19CuratedAccountsWtf => IndiaCovid19CuratedAccountsWtf + case TOfflineDisplayLocation.PeoplePlusPlus => PeoplePlusPlus + case TOfflineDisplayLocation.TweetNotificationRecs => TweetNotificationRecs + case TOfflineDisplayLocation.ProfileDeviceFollow => ProfileDeviceFollow + case TOfflineDisplayLocation.RecosBackfill => RecosBackfill + case TOfflineDisplayLocation.HtlSpaceHosts => HtlSpaceHosts + case TOfflineDisplayLocation.PostNuxFollowTask => PostNuxFollowTask + case TOfflineDisplayLocation.TopicLandingPage => TopicLandingPage + case TOfflineDisplayLocation.UserTypeaheadPrefetch => UserTypeaheadPrefetch + case TOfflineDisplayLocation.HomeTimelineRelatableAccounts => HomeTimelineRelatableAccounts + case TOfflineDisplayLocation.NuxGeoCategory => NuxGeoCategory + case TOfflineDisplayLocation.NuxInterestsCategory => NuxInterestsCategory + case TOfflineDisplayLocation.TopArticles => TopArticles + case TOfflineDisplayLocation.NuxPymkCategory => NuxPymkCategory + case TOfflineDisplayLocation.HomeTimelineTweetRecs => HomeTimelineTweetRecs + case TOfflineDisplayLocation.HtlBulkFriendFollows => HtlBulkFriendFollows + case TOfflineDisplayLocation.NuxAutoFollow => NuxAutoFollow + case TOfflineDisplayLocation.SearchBonusFollow => SearchBonusFollow + case TOfflineDisplayLocation.ContentRecommender => ContentRecommender + case TOfflineDisplayLocation.HomeTimelineReverseChron => HomeTimelineReverseChron + case TOfflineDisplayLocation.EnumUnknownOfflineDisplayLocation(i) => + throw new UnknownDisplayLocationException( + s"Unknown offline display location thrift enum with value: ${i}") + } +} + +class UnknownDisplayLocationException(message: String) extends Exception(message) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/EngagementType.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/EngagementType.scala new file mode 100644 index 000000000..b12a4404c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/EngagementType.scala @@ -0,0 +1,62 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.thriftscala.{EngagementType => TEngagementType} +import com.twitter.follow_recommendations.logging.thriftscala.{ + EngagementType => OfflineEngagementType +} +sealed trait EngagementType { + def toThrift: TEngagementType + def toOfflineThrift: OfflineEngagementType +} + +object EngagementType { + object Click extends EngagementType { + override val toThrift: TEngagementType = TEngagementType.Click + + override val toOfflineThrift: OfflineEngagementType = OfflineEngagementType.Click + } + object Like extends EngagementType { + override val toThrift: TEngagementType = TEngagementType.Like + + override val toOfflineThrift: OfflineEngagementType = OfflineEngagementType.Like + } + object Mention extends EngagementType { + override val toThrift: TEngagementType = TEngagementType.Mention + + override val toOfflineThrift: OfflineEngagementType = OfflineEngagementType.Mention + } + object Retweet extends EngagementType { + override val toThrift: TEngagementType = TEngagementType.Retweet + + override val toOfflineThrift: OfflineEngagementType = OfflineEngagementType.Retweet + } + object ProfileView extends EngagementType { + override val toThrift: TEngagementType = TEngagementType.ProfileView + + override val toOfflineThrift: OfflineEngagementType = OfflineEngagementType.ProfileView + } + + def fromThrift(engagementType: TEngagementType): EngagementType = engagementType match { + case TEngagementType.Click => Click + case TEngagementType.Like => Like + case TEngagementType.Mention => Mention + case TEngagementType.Retweet => Retweet + case TEngagementType.ProfileView => ProfileView + case TEngagementType.EnumUnknownEngagementType(i) => + throw new UnknownEngagementTypeException( + s"Unknown engagement type thrift enum with value: ${i}") + } + + def fromOfflineThrift(engagementType: OfflineEngagementType): EngagementType = + engagementType match { + case OfflineEngagementType.Click => Click + case OfflineEngagementType.Like => Like + case OfflineEngagementType.Mention => Mention + case OfflineEngagementType.Retweet => Retweet + case OfflineEngagementType.ProfileView => ProfileView + case OfflineEngagementType.EnumUnknownEngagementType(i) => + throw new UnknownEngagementTypeException( + s"Unknown engagement type offline thrift enum with value: ${i}") + } +} +class UnknownEngagementTypeException(message: String) extends Exception(message) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FilterReason.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FilterReason.scala new file mode 100644 index 000000000..86b496776 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FilterReason.scala @@ -0,0 +1,133 @@ +package com.twitter.follow_recommendations.common.models + +sealed trait FilterReason { + def reason: String +} + +object FilterReason { + + case object NoReason extends FilterReason { + override val reason: String = "no_reason" + } + + case class ParamReason(paramName: String) extends FilterReason { + override val reason: String = s"param_$paramName" + } + + case object ExcludedId extends FilterReason { + override val reason: String = "excluded_id_from_request" + } + + case object ProfileSidebarBlacklist extends FilterReason { + override val reason: String = "profile_sidebar_blacklisted_id" + } + + case object CuratedAccountsCompetitorList extends FilterReason { + override val reason: String = "curated_blacklisted_id" + } + + case class InvalidRelationshipTypes(relationshipTypes: String) extends FilterReason { + override val reason: String = s"invalid_relationship_types $relationshipTypes" + } + + case object ProfileId extends FilterReason { + override val reason: String = "candidate_has_same_id_as_profile" + } + + case object DismissedId extends FilterReason { + override val reason: String = s"dismissed_candidate" + } + + case object OptedOutId extends FilterReason { + override val reason: String = s"candidate_opted_out_from_criteria_in_request" + } + + // gizmoduck predicates + case object NoUser extends FilterReason { + override val reason: String = "no_user_result_from_gizmoduck" + } + + case object AddressBookUndiscoverable extends FilterReason { + override val reason: String = "not_discoverable_via_address_book" + } + + case object PhoneBookUndiscoverable extends FilterReason { + override val reason: String = "not_discoverable_via_phone_book" + } + + case object Deactivated extends FilterReason { + override val reason: String = "deactivated" + } + + case object Suspended extends FilterReason { + override val reason: String = "suspended" + } + + case object Restricted extends FilterReason { + override val reason: String = "restricted" + } + + case object NsfwUser extends FilterReason { + override val reason: String = "nsfwUser" + } + + case object NsfwAdmin extends FilterReason { + override val reason: String = "nsfwAdmin" + } + + case object HssSignal extends FilterReason { + override val reason: String = "hssSignal" + } + + case object IsProtected extends FilterReason { + override val reason: String = "isProtected" + } + + case class CountryTakedown(countryCode: String) extends FilterReason { + override val reason: String = s"takedown_in_$countryCode" + } + + case object Blink extends FilterReason { + override val reason: String = "blink" + } + + case object AlreadyFollowed extends FilterReason { + override val reason: String = "already_followed" + } + + case object InvalidRelationship extends FilterReason { + override val reason: String = "invalid_relationship" + } + + case object NotFollowingTargetUser extends FilterReason { + override val reason: String = "not_following_target_user" + } + + case object CandidateSideHoldback extends FilterReason { + override val reason: String = "candidate_side_holdback" + } + + case object Inactive extends FilterReason { + override val reason: String = "inactive" + } + + case object MissingRecommendabilityData extends FilterReason { + override val reason: String = "missing_recommendability_data" + } + + case object HighTweetVelocity extends FilterReason { + override val reason: String = "high_tweet_velocity" + } + + case object AlreadyRecommended extends FilterReason { + override val reason: String = "already_recommended" + } + + case object MinStateNotMet extends FilterReason { + override val reason: String = "min_state_user_not_met" + } + + case object FailOpen extends FilterReason { + override val reason: String = "fail_open" + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FlowContext.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FlowContext.scala new file mode 100644 index 000000000..15e36321e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FlowContext.scala @@ -0,0 +1,20 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} + +case class FlowContext(steps: Seq[RecommendationStep]) { + + def toThrift: t.FlowContext = t.FlowContext(steps = steps.map(_.toThrift)) + + def toOfflineThrift: offline.OfflineFlowContext = + offline.OfflineFlowContext(steps = steps.map(_.toOfflineThrift)) +} + +object FlowContext { + + def fromThrift(flowContext: t.FlowContext): FlowContext = { + FlowContext(steps = flowContext.steps.map(RecommendationStep.fromThrift)) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FlowRecommendation.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FlowRecommendation.scala new file mode 100644 index 000000000..118ff258d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/FlowRecommendation.scala @@ -0,0 +1,23 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} + +case class FlowRecommendation(userId: Long) { + + def toThrift: t.FlowRecommendation = + t.FlowRecommendation(userId = userId) + + def toOfflineThrift: offline.OfflineFlowRecommendation = + offline.OfflineFlowRecommendation(userId = userId) + +} + +object FlowRecommendation { + def fromThrift(flowRecommendation: t.FlowRecommendation): FlowRecommendation = { + FlowRecommendation( + userId = flowRecommendation.userId + ) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/GeohashAndCountryCode.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/GeohashAndCountryCode.scala new file mode 100644 index 000000000..782d3fc9e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/GeohashAndCountryCode.scala @@ -0,0 +1,3 @@ +package com.twitter.follow_recommendations.common.models + +case class GeohashAndCountryCode(geohash: Option[String], countryCode: Option[String]) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasAdMetadata.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasAdMetadata.scala new file mode 100644 index 000000000..57979e376 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasAdMetadata.scala @@ -0,0 +1,23 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.adserver.{thriftscala => t} + +case class AdMetadata( + insertPosition: Int, + // use original ad impression info to avoid losing data in domain model translations + adImpression: t.AdImpression) + +trait HasAdMetadata { + + def adMetadata: Option[AdMetadata] + + def adImpression: Option[t.AdImpression] = { + adMetadata.map(_.adImpression) + } + + def insertPosition: Option[Int] = { + adMetadata.map(_.insertPosition) + } + + def isPromotedAccount: Boolean = adMetadata.isDefined +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasByfSeedUserIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasByfSeedUserIds.scala new file mode 100644 index 000000000..d4cbdcee8 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasByfSeedUserIds.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasByfSeedUserIds { + def byfSeedUserIds: Option[Seq[Long]] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDataRecord.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDataRecord.scala new file mode 100644 index 000000000..4e7047b4e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDataRecord.scala @@ -0,0 +1,86 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.thriftscala.DebugDataRecord +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.util.Try +import com.twitter.util.logging.Logging +import scala.collection.convert.ImplicitConversions._ + +// contains the standard dataRecord struct, and the debug version if required +case class RichDataRecord( + dataRecord: Option[DataRecord] = None, + debugDataRecord: Option[DebugDataRecord] = None, +) + +trait HasDataRecord extends Logging { + def dataRecord: Option[RichDataRecord] + + def toDebugDataRecord(dr: DataRecord, featureContext: FeatureContext): DebugDataRecord = { + + val binaryFeatures: Option[Set[String]] = if (dr.isSetBinaryFeatures) { + Some(dr.getBinaryFeatures.flatMap { id => + Try(featureContext.getFeature(id).getFeatureName).toOption + }.toSet) + } else None + + val continuousFeatures: Option[Map[String, Double]] = if (dr.isSetContinuousFeatures) { + Some(dr.getContinuousFeatures.flatMap { + case (id, value) => + Try(featureContext.getFeature(id).getFeatureName).toOption.map { id => + id -> value.toDouble + } + }.toMap) + } else None + + val discreteFeatures: Option[Map[String, Long]] = if (dr.isSetDiscreteFeatures) { + Some(dr.getDiscreteFeatures.flatMap { + case (id, value) => + Try(featureContext.getFeature(id).getFeatureName).toOption.map { id => + id -> value.toLong + } + }.toMap) + } else None + + val stringFeatures: Option[Map[String, String]] = if (dr.isSetStringFeatures) { + Some(dr.getStringFeatures.flatMap { + case (id, value) => + Try(featureContext.getFeature(id).getFeatureName).toOption.map { id => + id -> value + } + }.toMap) + } else None + + val sparseBinaryFeatures: Option[Map[String, Set[String]]] = if (dr.isSetSparseBinaryFeatures) { + Some(dr.getSparseBinaryFeatures.flatMap { + case (id, values) => + Try(featureContext.getFeature(id).getFeatureName).toOption.map { id => + id -> values.toSet + } + }.toMap) + } else None + + val sparseContinuousFeatures: Option[Map[String, Map[String, Double]]] = + if (dr.isSetSparseContinuousFeatures) { + Some(dr.getSparseContinuousFeatures.flatMap { + case (id, values) => + Try(featureContext.getFeature(id).getFeatureName).toOption.map { id => + id -> values.map { + case (str, value) => + str -> value.toDouble + }.toMap + } + }.toMap) + } else None + + DebugDataRecord( + binaryFeatures = binaryFeatures, + continuousFeatures = continuousFeatures, + discreteFeatures = discreteFeatures, + stringFeatures = stringFeatures, + sparseBinaryFeatures = sparseBinaryFeatures, + sparseContinuousFeatures = sparseContinuousFeatures, + ) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDebugOptions.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDebugOptions.scala new file mode 100644 index 000000000..0956ca34e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDebugOptions.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.thriftscala.DebugParams + +case class DebugOptions( + randomizationSeed: Option[Long] = None, + fetchDebugInfo: Boolean = false, + doNotLog: Boolean = false) + +object DebugOptions { + def fromDebugParamsThrift(debugParams: DebugParams): DebugOptions = { + DebugOptions( + debugParams.randomizationSeed, + debugParams.includeDebugInfoInResults.getOrElse(false), + debugParams.doNotLog.getOrElse(false) + ) + } +} + +trait HasDebugOptions { + def debugOptions: Option[DebugOptions] + + def getRandomizationSeed: Option[Long] = debugOptions.flatMap(_.randomizationSeed) + + def fetchDebugInfo: Option[Boolean] = debugOptions.map(_.fetchDebugInfo) +} + +trait HasFrsDebugOptions { + def frsDebugOptions: Option[DebugOptions] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDismissedUserIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDismissedUserIds.scala new file mode 100644 index 000000000..3f2154992 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDismissedUserIds.scala @@ -0,0 +1,6 @@ +package com.twitter.follow_recommendations.common.models + +trait HasDismissedUserIds { + // user ids that are recently followed by the target user + def dismissedUserIds: Option[Seq[Long]] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDisplayLocation.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDisplayLocation.scala new file mode 100644 index 000000000..e74ae83e1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasDisplayLocation.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasDisplayLocation { + def displayLocation: DisplayLocation +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasEngagements.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasEngagements.scala new file mode 100644 index 000000000..de59e4479 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasEngagements.scala @@ -0,0 +1,7 @@ +package com.twitter.follow_recommendations.common.models + +trait HasEngagements { + + def engagements: Seq[EngagementType] + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasExcludedUserIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasExcludedUserIds.scala new file mode 100644 index 000000000..3addcef83 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasExcludedUserIds.scala @@ -0,0 +1,6 @@ +package com.twitter.follow_recommendations.common.models + +trait HasExcludedUserIds { + // user ids that are going to be excluded from recommendations + def excludedUserIds: Seq[Long] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasGeohashAndCountryCode.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasGeohashAndCountryCode.scala new file mode 100644 index 000000000..a4364bbf4 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasGeohashAndCountryCode.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasGeohashAndCountryCode { + def geohashAndCountryCode: Option[GeohashAndCountryCode] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInfoPerRankingStage.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInfoPerRankingStage.scala new file mode 100644 index 000000000..c4d277412 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInfoPerRankingStage.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasInfoPerRankingStage { + def infoPerRankingStage: Option[scala.collection.Map[String, RankingInfo]] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInterestIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInterestIds.scala new file mode 100644 index 000000000..69f97b673 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInterestIds.scala @@ -0,0 +1,11 @@ +package com.twitter.follow_recommendations.common.models + +trait HasCustomInterests { + def customInterests: Option[Seq[String]] +} + +trait HasUttInterests { + def uttInterestIds: Option[Seq[Long]] +} + +trait HasInterestIds extends HasCustomInterests with HasUttInterests {} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInvalidRelationshipUserIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInvalidRelationshipUserIds.scala new file mode 100644 index 000000000..3cf3f66db --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasInvalidRelationshipUserIds.scala @@ -0,0 +1,6 @@ +package com.twitter.follow_recommendations.common.models + +trait HasInvalidRelationshipUserIds { + // user ids that have invalid relationship with the target user + def invalidRelationshipUserIds: Option[Set[Long]] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasIsSoftUser.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasIsSoftUser.scala new file mode 100644 index 000000000..8cf1532ce --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasIsSoftUser.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasIsSoftUser { + def isSoftUser: Boolean +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasMutualFollowedUserIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasMutualFollowedUserIds.scala new file mode 100644 index 000000000..c5e1e16cc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasMutualFollowedUserIds.scala @@ -0,0 +1,10 @@ +package com.twitter.follow_recommendations.common.models + +// intersection of recent followers and followed by +trait HasMutualFollowedUserIds extends HasRecentFollowedUserIds with HasRecentFollowedByUserIds { + + lazy val recentMutualFollows: Seq[Long] = + recentFollowedUserIds.getOrElse(Nil).intersect(recentFollowedByUserIds.getOrElse(Nil)) + + lazy val numRecentMutualFollows: Int = recentMutualFollows.size +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasPreviousRecommendationsContext.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasPreviousRecommendationsContext.scala new file mode 100644 index 000000000..2480faaad --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasPreviousRecommendationsContext.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.models + +trait HasPreviousRecommendationsContext { + + def previouslyRecommendedUserIDs: Set[Long] + + def previouslyFollowedUserIds: Set[Long] + + def skippedFollows: Set[Long] = { + previouslyRecommendedUserIDs.diff(previouslyFollowedUserIds) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasProfileId.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasProfileId.scala new file mode 100644 index 000000000..10cd7c02f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasProfileId.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasProfileId { + def profileId: Long +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasQualityFactor.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasQualityFactor.scala new file mode 100644 index 000000000..96527b2ba --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasQualityFactor.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasQualityFactor { + def qualityFactor: Option[Double] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedByUserIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedByUserIds.scala new file mode 100644 index 000000000..bc15e8bd8 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedByUserIds.scala @@ -0,0 +1,8 @@ +package com.twitter.follow_recommendations.common.models + +trait HasRecentFollowedByUserIds { + // user ids that have recently followed the target user; target user has been "followed by" them. + def recentFollowedByUserIds: Option[Seq[Long]] + + lazy val numRecentFollowedByUserIds: Int = recentFollowedByUserIds.map(_.size).getOrElse(0) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedUserIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedUserIds.scala new file mode 100644 index 000000000..67ada7c66 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedUserIds.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.common.models + +trait HasRecentFollowedUserIds { + // user ids that are recently followed by the target user + def recentFollowedUserIds: Option[Seq[Long]] + + // user ids that are recently followed by the target user in set data-structure + lazy val recentFollowedUserIdsSet: Option[Set[Long]] = recentFollowedUserIds match { + case Some(users) => Some(users.toSet) + case None => Some(Set.empty) + } + + lazy val numRecentFollowedUserIds: Int = recentFollowedUserIds.map(_.size).getOrElse(0) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedUserIdsWithTime.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedUserIdsWithTime.scala new file mode 100644 index 000000000..7e3cba4a7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentFollowedUserIdsWithTime.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.common.models + +trait HasRecentFollowedUserIdsWithTime { + // user ids that are recently followed by the target user + def recentFollowedUserIdsWithTime: Option[Seq[UserIdWithTimestamp]] + + lazy val numRecentFollowedUserIdsWithTime: Int = + recentFollowedUserIdsWithTime.map(_.size).getOrElse(0) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentlyEngagedUserIds.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentlyEngagedUserIds.scala new file mode 100644 index 000000000..44420ec27 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecentlyEngagedUserIds.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasRecentlyEngagedUserIds { + val recentlyEngagedUserIds: Option[Seq[RecentlyEngagedUserId]] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecommendationFlowIdentifier.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecommendationFlowIdentifier.scala new file mode 100644 index 000000000..5706c7a29 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasRecommendationFlowIdentifier.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasRecommendationFlowIdentifier { + def recommendationFlowIdentifier: Option[String] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasScores.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasScores.scala new file mode 100644 index 000000000..e8a6698ee --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasScores.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasScores { + def scores: Option[Scores] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasSimilarToContext.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasSimilarToContext.scala new file mode 100644 index 000000000..bbe2ac258 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasSimilarToContext.scala @@ -0,0 +1,7 @@ +package com.twitter.follow_recommendations.common.models + +trait HasSimilarToContext { + + // user ids that are used to generate similar to recommendations + def similarToUserIds: Seq[Long] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasTopicId.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasTopicId.scala new file mode 100644 index 000000000..4bd6e63e7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasTopicId.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.common.models + +trait HasTopicId { + def topicId: Long +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasUserCandidateSourceDetails.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasUserCandidateSourceDetails.scala new file mode 100644 index 000000000..e0e363449 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasUserCandidateSourceDetails.scala @@ -0,0 +1,162 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.hermit.ml.models.Feature +import com.twitter.hermit.model.Algorithm +import com.twitter.hermit.model.Algorithm.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier + +/** + * Used to keep track of a candidate's source not so much as a feature but for filtering candidate + * from specific sources (eg. GizmoduckPredicate) + */ +trait HasUserCandidateSourceDetails { candidateUser: CandidateUser => + def userCandidateSourceDetails: Option[UserCandidateSourceDetails] + + def getAlgorithm: Algorithm = { + val algorithm = for { + details <- userCandidateSourceDetails + identifier <- details.primaryCandidateSource + algorithm <- Algorithm.withNameOpt(identifier.name) + } yield algorithm + + algorithm.getOrElse(throw new Exception("Algorithm missing on candidate user!")) + } + + def getAllAlgorithms: Seq[Algorithm] = { + getCandidateSources.keys + .flatMap(identifier => Algorithm.withNameOpt(identifier.name)).toSeq + } + + def getAddressBookMetadata: Option[AddressBookMetadata] = { + userCandidateSourceDetails.flatMap(_.addressBookMetadata) + } + + def getCandidateSources: Map[CandidateSourceIdentifier, Option[Double]] = { + userCandidateSourceDetails.map(_.candidateSourceScores).getOrElse(Map.empty) + } + + def getCandidateRanks: Map[CandidateSourceIdentifier, Int] = { + userCandidateSourceDetails.map(_.candidateSourceRanks).getOrElse(Map.empty) + } + + def getCandidateFeatures: Map[CandidateSourceIdentifier, Seq[Feature]] = { + userCandidateSourceDetails.map(_.candidateSourceFeatures).getOrElse(Map.empty) + } + + def getPrimaryCandidateSource: Option[CandidateSourceIdentifier] = { + userCandidateSourceDetails.flatMap(_.primaryCandidateSource) + } + + def withCandidateSource(source: CandidateSourceIdentifier): CandidateUser = { + withCandidateSourceAndScore(source, candidateUser.score) + } + + def withCandidateSourceAndScore( + source: CandidateSourceIdentifier, + score: Option[Double] + ): CandidateUser = { + withCandidateSourceScoreAndFeatures(source, score, Nil) + } + + def withCandidateSourceAndFeatures( + source: CandidateSourceIdentifier, + features: Seq[Feature] + ): CandidateUser = { + withCandidateSourceScoreAndFeatures(source, candidateUser.score, features) + } + + def withCandidateSourceScoreAndFeatures( + source: CandidateSourceIdentifier, + score: Option[Double], + features: Seq[Feature] + ): CandidateUser = { + val candidateSourceDetails = + candidateUser.userCandidateSourceDetails + .map { details => + details.copy( + primaryCandidateSource = Some(source), + candidateSourceScores = details.candidateSourceScores + (source -> score), + candidateSourceFeatures = details.candidateSourceFeatures + (source -> features) + ) + }.getOrElse( + UserCandidateSourceDetails( + Some(source), + Map(source -> score), + Map.empty, + None, + Map(source -> features))) + candidateUser.copy( + userCandidateSourceDetails = Some(candidateSourceDetails) + ) + } + + def addCandidateSourceScoresMap( + scoreMap: Map[CandidateSourceIdentifier, Option[Double]] + ): CandidateUser = { + val candidateSourceDetails = candidateUser.userCandidateSourceDetails + .map { details => + details.copy(candidateSourceScores = details.candidateSourceScores ++ scoreMap) + }.getOrElse(UserCandidateSourceDetails(scoreMap.keys.headOption, scoreMap, Map.empty, None)) + candidateUser.copy( + userCandidateSourceDetails = Some(candidateSourceDetails) + ) + } + + def addCandidateSourceRanksMap( + rankMap: Map[CandidateSourceIdentifier, Int] + ): CandidateUser = { + val candidateSourceDetails = candidateUser.userCandidateSourceDetails + .map { details => + details.copy(candidateSourceRanks = details.candidateSourceRanks ++ rankMap) + }.getOrElse(UserCandidateSourceDetails(rankMap.keys.headOption, Map.empty, rankMap, None)) + candidateUser.copy( + userCandidateSourceDetails = Some(candidateSourceDetails) + ) + } + + def addInfoPerRankingStage( + rankingStage: String, + scores: Option[Scores], + rank: Int + ): CandidateUser = { + val scoresOpt: Option[Scores] = scores.orElse(candidateUser.scores) + val originalInfoPerRankingStage = + candidateUser.infoPerRankingStage.getOrElse(Map[String, RankingInfo]()) + candidateUser.copy( + infoPerRankingStage = + Some(originalInfoPerRankingStage + (rankingStage -> RankingInfo(scoresOpt, Some(rank)))) + ) + } + + def addAddressBookMetadataIfAvailable( + candidateSources: Seq[CandidateSourceIdentifier] + ): CandidateUser = { + + val addressBookMetadata = AddressBookMetadata( + inForwardPhoneBook = + candidateSources.contains(AddressBookMetadata.ForwardPhoneBookCandidateSource), + inReversePhoneBook = + candidateSources.contains(AddressBookMetadata.ReversePhoneBookCandidateSource), + inForwardEmailBook = + candidateSources.contains(AddressBookMetadata.ForwardEmailBookCandidateSource), + inReverseEmailBook = + candidateSources.contains(AddressBookMetadata.ReverseEmailBookCandidateSource) + ) + + val newCandidateSourceDetails = candidateUser.userCandidateSourceDetails + .map { details => + details.copy(addressBookMetadata = Some(addressBookMetadata)) + }.getOrElse( + UserCandidateSourceDetails( + None, + Map.empty, + Map.empty, + Some(addressBookMetadata), + Map.empty)) + + candidateUser.copy( + userCandidateSourceDetails = Some(newCandidateSourceDetails) + ) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasUserState.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasUserState.scala new file mode 100644 index 000000000..bf0df46f7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasUserState.scala @@ -0,0 +1,7 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.core_workflows.user_model.thriftscala.UserState + +trait HasUserState { + def userState: Option[UserState] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasWtfImpressions.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasWtfImpressions.scala new file mode 100644 index 000000000..d840ed6fd --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/HasWtfImpressions.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.util.Time + +trait HasWtfImpressions { + + def wtfImpressions: Option[Seq[WtfImpression]] + + lazy val numWtfImpressions: Int = wtfImpressions.map(_.size).getOrElse(0) + + lazy val candidateImpressions: Map[Long, WtfImpression] = wtfImpressions + .map { imprMap => + imprMap.map { i => + i.candidateId -> i + }.toMap + }.getOrElse(Map.empty) + + lazy val latestImpressionTime: Time = { + if (wtfImpressions.exists(_.nonEmpty)) { + wtfImpressions.get.map(_.latestTime).max + } else Time.Top + } + + def getCandidateImpressionCounts(id: Long): Option[Int] = + candidateImpressions.get(id).map(_.counts) + + def getCandidateLatestTime(id: Long): Option[Time] = { + candidateImpressions.get(id).map(_.latestTime) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/OptimusRequest.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/OptimusRequest.scala new file mode 100644 index 000000000..df4c228e1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/OptimusRequest.scala @@ -0,0 +1,15 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.timelines.configapi.HasParams + +/** +Convenience trait to group together all traits needed for optimus ranking + */ +trait OptimusRequest + extends HasParams + with HasClientContext + with HasDisplayLocation + with HasInterestIds + with HasDebugOptions + with HasPreviousRecommendationsContext {} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Product.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Product.scala new file mode 100644 index 000000000..f37cff56e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Product.scala @@ -0,0 +1,15 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.product_mixer.core.model.common.identifier.ProductIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.{Product => ProductMixerProduct} + +object Product { + case object MagicRecs extends ProductMixerProduct { + override val identifier: ProductIdentifier = ProductIdentifier("MagicRecs") + override val stringCenterProject: Option[String] = Some("people-discovery") + } + + case object PlaceholderProductMixerProduct extends ProductMixerProduct { + override val identifier: ProductIdentifier = ProductIdentifier("PlaceholderProductMixerProduct") + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RankingInfo.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RankingInfo.scala new file mode 100644 index 000000000..02eb46b5a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RankingInfo.scala @@ -0,0 +1,28 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.follow_recommendations.logging.{thriftscala => offline} + +case class RankingInfo( + scores: Option[Scores], + rank: Option[Int]) { + + def toThrift: t.RankingInfo = { + t.RankingInfo(scores.map(_.toThrift), rank) + } + + def toOfflineThrift: offline.RankingInfo = { + offline.RankingInfo(scores.map(_.toOfflineThrift), rank) + } +} + +object RankingInfo { + + def fromThrift(rankingInfo: t.RankingInfo): RankingInfo = { + RankingInfo( + scores = rankingInfo.scores.map(Scores.fromThrift), + rank = rankingInfo.rank + ) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Reason.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Reason.scala new file mode 100644 index 000000000..b7c9c6c75 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Reason.scala @@ -0,0 +1,206 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.follow_recommendations.logging.{thriftscala => offline} + +case class FollowProof(followedBy: Seq[Long], numIds: Int) { + def toThrift: t.FollowProof = { + t.FollowProof(followedBy, numIds) + } + + def toOfflineThrift: offline.FollowProof = offline.FollowProof(followedBy, numIds) +} + +object FollowProof { + + def fromThrift(proof: t.FollowProof): FollowProof = { + FollowProof(proof.userIds, proof.numIds) + } +} + +case class SimilarToProof(similarTo: Seq[Long]) { + def toThrift: t.SimilarToProof = { + t.SimilarToProof(similarTo) + } + + def toOfflineThrift: offline.SimilarToProof = offline.SimilarToProof(similarTo) +} + +object SimilarToProof { + def fromThrift(proof: t.SimilarToProof): SimilarToProof = { + SimilarToProof(proof.userIds) + } +} + +case class PopularInGeoProof(location: String) { + def toThrift: t.PopularInGeoProof = { + t.PopularInGeoProof(location) + } + + def toOfflineThrift: offline.PopularInGeoProof = offline.PopularInGeoProof(location) +} + +object PopularInGeoProof { + + def fromThrift(proof: t.PopularInGeoProof): PopularInGeoProof = { + PopularInGeoProof(proof.location) + } +} + +case class TttInterestProof(interestId: Long, interestDisplayName: String) { + def toThrift: t.TttInterestProof = { + t.TttInterestProof(interestId, interestDisplayName) + } + + def toOfflineThrift: offline.TttInterestProof = + offline.TttInterestProof(interestId, interestDisplayName) +} + +object TttInterestProof { + + def fromThrift(proof: t.TttInterestProof): TttInterestProof = { + TttInterestProof(proof.interestId, proof.interestDisplayName) + } +} + +case class TopicProof(topicId: Long) { + def toThrift: t.TopicProof = { + t.TopicProof(topicId) + } + + def toOfflineThrift: offline.TopicProof = + offline.TopicProof(topicId) +} + +object TopicProof { + def fromThrift(proof: t.TopicProof): TopicProof = { + TopicProof(proof.topicId) + } +} + +case class CustomInterest(query: String) { + def toThrift: t.CustomInterestProof = { + t.CustomInterestProof(query) + } + + def toOfflineThrift: offline.CustomInterestProof = + offline.CustomInterestProof(query) +} + +object CustomInterest { + def fromThrift(proof: t.CustomInterestProof): CustomInterest = { + CustomInterest(proof.query) + } +} + +case class TweetsAuthorProof(tweetIds: Seq[Long]) { + def toThrift: t.TweetsAuthorProof = { + t.TweetsAuthorProof(tweetIds) + } + + def toOfflineThrift: offline.TweetsAuthorProof = + offline.TweetsAuthorProof(tweetIds) +} + +object TweetsAuthorProof { + def fromThrift(proof: t.TweetsAuthorProof): TweetsAuthorProof = { + TweetsAuthorProof(proof.tweetIds) + } +} + +case class DeviceFollowProof(isDeviceFollow: Boolean) { + def toThrift: t.DeviceFollowProof = { + t.DeviceFollowProof(isDeviceFollow) + } + def toOfflineThrift: offline.DeviceFollowProof = + offline.DeviceFollowProof(isDeviceFollow) +} + +object DeviceFollowProof { + def fromThrift(proof: t.DeviceFollowProof): DeviceFollowProof = { + DeviceFollowProof(proof.isDeviceFollow) + } + +} + +case class AccountProof( + followProof: Option[FollowProof] = None, + similarToProof: Option[SimilarToProof] = None, + popularInGeoProof: Option[PopularInGeoProof] = None, + tttInterestProof: Option[TttInterestProof] = None, + topicProof: Option[TopicProof] = None, + customInterestProof: Option[CustomInterest] = None, + tweetsAuthorProof: Option[TweetsAuthorProof] = None, + deviceFollowProof: Option[DeviceFollowProof] = None) { + def toThrift: t.AccountProof = { + t.AccountProof( + followProof.map(_.toThrift), + similarToProof.map(_.toThrift), + popularInGeoProof.map(_.toThrift), + tttInterestProof.map(_.toThrift), + topicProof.map(_.toThrift), + customInterestProof.map(_.toThrift), + tweetsAuthorProof.map(_.toThrift), + deviceFollowProof.map(_.toThrift) + ) + } + + def toOfflineThrift: offline.AccountProof = { + offline.AccountProof( + followProof.map(_.toOfflineThrift), + similarToProof.map(_.toOfflineThrift), + popularInGeoProof.map(_.toOfflineThrift), + tttInterestProof.map(_.toOfflineThrift), + topicProof.map(_.toOfflineThrift), + customInterestProof.map(_.toOfflineThrift), + tweetsAuthorProof.map(_.toOfflineThrift), + deviceFollowProof.map(_.toOfflineThrift) + ) + } +} + +object AccountProof { + def fromThrift(proof: t.AccountProof): AccountProof = { + AccountProof( + proof.followProof.map(FollowProof.fromThrift), + proof.similarToProof.map(SimilarToProof.fromThrift), + proof.popularInGeoProof.map(PopularInGeoProof.fromThrift), + proof.tttInterestProof.map(TttInterestProof.fromThrift), + proof.topicProof.map(TopicProof.fromThrift), + proof.customInterestProof.map(CustomInterest.fromThrift), + proof.tweetsAuthorProof.map(TweetsAuthorProof.fromThrift), + proof.deviceFollowProof.map(DeviceFollowProof.fromThrift) + ) + } +} + +case class Reason(accountProof: Option[AccountProof]) { + def toThrift: t.Reason = { + t.Reason(accountProof.map(_.toThrift)) + } + + def toOfflineThrift: offline.Reason = { + offline.Reason(accountProof.map(_.toOfflineThrift)) + } +} + +object Reason { + + def fromThrift(reason: t.Reason): Reason = { + Reason(reason.accountProof.map(AccountProof.fromThrift)) + } +} + +trait HasReason { + + def reason: Option[Reason] + // helper methods below + + def followedBy: Option[Seq[Long]] = { + for { + reason <- reason + accountProof <- reason.accountProof + followProof <- accountProof.followProof + } yield { followProof.followedBy } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RecentlyEngagedUserId.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RecentlyEngagedUserId.scala new file mode 100644 index 000000000..b20d5d6fb --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RecentlyEngagedUserId.scala @@ -0,0 +1,31 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} + +case class RecentlyEngagedUserId(id: Long, engagementType: EngagementType) { + def toThrift: t.RecentlyEngagedUserId = + t.RecentlyEngagedUserId(id = id, engagementType = engagementType.toThrift) + + def toOfflineThrift: offline.RecentlyEngagedUserId = + offline.RecentlyEngagedUserId(id = id, engagementType = engagementType.toOfflineThrift) +} + +object RecentlyEngagedUserId { + def fromThrift(recentlyEngagedUserId: t.RecentlyEngagedUserId): RecentlyEngagedUserId = { + RecentlyEngagedUserId( + id = recentlyEngagedUserId.id, + engagementType = EngagementType.fromThrift(recentlyEngagedUserId.engagementType) + ) + } + + def fromOfflineThrift( + recentlyEngagedUserId: offline.RecentlyEngagedUserId + ): RecentlyEngagedUserId = { + RecentlyEngagedUserId( + id = recentlyEngagedUserId.id, + engagementType = EngagementType.fromOfflineThrift(recentlyEngagedUserId.engagementType) + ) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RecommendationStep.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RecommendationStep.scala new file mode 100644 index 000000000..4fd4bc70e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/RecommendationStep.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.follow_recommendations.logging.{thriftscala => offline} + +case class RecommendationStep( + recommendations: Seq[FlowRecommendation], + followedUserIds: Set[Long]) { + + def toThrift: t.RecommendationStep = t.RecommendationStep( + recommendations = recommendations.map(_.toThrift), + followedUserIds = followedUserIds + ) + + def toOfflineThrift: offline.OfflineRecommendationStep = + offline.OfflineRecommendationStep( + recommendations = recommendations.map(_.toOfflineThrift), + followedUserIds = followedUserIds) + +} + +object RecommendationStep { + + def fromThrift(recommendationStep: t.RecommendationStep): RecommendationStep = { + RecommendationStep( + recommendations = recommendationStep.recommendations.map(FlowRecommendation.fromThrift), + followedUserIds = recommendationStep.followedUserIds.toSet) + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/STPGraph.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/STPGraph.scala new file mode 100644 index 000000000..2d577e21d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/STPGraph.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.hermit.model.Algorithm.Algorithm +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.FirstDegreeEdge +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.FirstDegreeEdgeInfo +import com.twitter.wtf.scalding.jobs.strong_tie_prediction.SecondDegreeEdge + +case class PotentialFirstDegreeEdge( + userId: Long, + connectingId: Long, + algorithm: Algorithm, + score: Double, + edgeInfo: FirstDegreeEdgeInfo) + +case class IntermediateSecondDegreeEdge( + connectingId: Long, + candidateId: Long, + edgeInfo: FirstDegreeEdgeInfo) + +case class STPGraph( + firstDegreeEdgeInfoList: List[FirstDegreeEdge], + secondDegreeEdgeInfoList: List[SecondDegreeEdge]) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/SafetyLevel.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/SafetyLevel.scala new file mode 100644 index 000000000..10c21704a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/SafetyLevel.scala @@ -0,0 +1,17 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.spam.rtf.thriftscala.{SafetyLevel => ThriftSafetyLevel} + +sealed trait SafetyLevel { + def toThrift: ThriftSafetyLevel +} + +object SafetyLevel { + case object Recommendations extends SafetyLevel { + override val toThrift = ThriftSafetyLevel.Recommendations + } + + case object TopicsLandingPageTopicRecommendations extends SafetyLevel { + override val toThrift = ThriftSafetyLevel.TopicsLandingPageTopicRecommendations + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Score.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Score.scala new file mode 100644 index 000000000..1007c5827 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Score.scala @@ -0,0 +1,144 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.follow_recommendations.common.rankers.common.RankerId.RankerId +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} + +/** + * Type of Score. This is used to differentiate scores. + * + * Define it as a trait so it is possible to add more information for different score types. + */ +sealed trait ScoreType { + def getName: String +} + +/** + * Existing Score Types + */ +object ScoreType { + + /** + * the score is calculated based on heuristics and most likely not normalized + */ + case object HeuristicBasedScore extends ScoreType { + override def getName: String = "HeuristicBasedScore" + } + + /** + * probability of follow after the candidate is recommended to the user + */ + case object PFollowGivenReco extends ScoreType { + override def getName: String = "PFollowGivenReco" + } + + /** + * probability of engage after the user follows the candidate + */ + case object PEngagementGivenFollow extends ScoreType { + override def getName: String = "PEngagementGivenFollow" + } + + /** + * probability of engage per tweet impression + */ + case object PEngagementPerImpression extends ScoreType { + override def getName: String = "PEngagementPerImpression" + } + + /** + * probability of engage per tweet impression + */ + case object PEngagementGivenReco extends ScoreType { + override def getName: String = "PEngagementGivenReco" + } + + def fromScoreTypeString(scoreTypeName: String): ScoreType = scoreTypeName match { + case "HeuristicBasedScore" => HeuristicBasedScore + case "PFollowGivenReco" => PFollowGivenReco + case "PEngagementGivenFollow" => PEngagementGivenFollow + case "PEngagementPerImpression" => PEngagementPerImpression + case "PEngagementGivenReco" => PEngagementGivenReco + } +} + +/** + * Represent the output from a certain ranker or scorer. All the fields are optional + * + * @param value value of the score + * @param rankerId ranker id + * @param scoreType score type + */ +final case class Score( + value: Double, + rankerId: Option[RankerId] = None, + scoreType: Option[ScoreType] = None) { + + def toThrift: t.Score = t.Score( + value = value, + rankerId = rankerId.map(_.toString), + scoreType = scoreType.map(_.getName) + ) + + def toOfflineThrift: offline.Score = + offline.Score( + value = value, + rankerId = rankerId.map(_.toString), + scoreType = scoreType.map(_.getName) + ) +} + +object Score { + + val RandomScore = Score(0.0d, Some(RankerId.RandomRanker)) + + def optimusScore(score: Double, scoreType: ScoreType): Score = { + Score(value = score, scoreType = Some(scoreType)) + } + + def predictionScore(score: Double, rankerId: RankerId): Score = { + Score(value = score, rankerId = Some(rankerId)) + } + + def fromThrift(thriftScore: t.Score): Score = + Score( + value = thriftScore.value, + rankerId = thriftScore.rankerId.flatMap(RankerId.getRankerByName), + scoreType = thriftScore.scoreType.map(ScoreType.fromScoreTypeString) + ) +} + +/** + * a list of scores + */ +final case class Scores( + scores: Seq[Score], + selectedRankerId: Option[RankerId] = None, + isInProducerScoringExperiment: Boolean = false) { + + def toThrift: t.Scores = + t.Scores( + scores = scores.map(_.toThrift), + selectedRankerId = selectedRankerId.map(_.toString), + isInProducerScoringExperiment = isInProducerScoringExperiment + ) + + def toOfflineThrift: offline.Scores = + offline.Scores( + scores = scores.map(_.toOfflineThrift), + selectedRankerId = selectedRankerId.map(_.toString), + isInProducerScoringExperiment = isInProducerScoringExperiment + ) +} + +object Scores { + val Empty: Scores = Scores(Nil) + + def fromThrift(thriftScores: t.Scores): Scores = + Scores( + scores = thriftScores.scores.map(Score.fromThrift), + selectedRankerId = thriftScores.selectedRankerId.flatMap(RankerId.getRankerByName), + isInProducerScoringExperiment = thriftScores.isInProducerScoringExperiment + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Session.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Session.scala new file mode 100644 index 000000000..25ff00b48 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/Session.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.finagle.tracing.Trace + +object Session { + + /** + * The sessionId in FRS is the finagle trace id which is static within the lifetime of a single + * request. + * + * It is used when generating per-candidate tokens (in TrackingTokenTransform) and is also passed + * in to downstream Optimus ranker requests. + * + */ + def getSessionId: Long = Trace.id.traceId.toLong +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/SignalData.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/SignalData.scala new file mode 100644 index 000000000..3af5c6e1d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/SignalData.scala @@ -0,0 +1,42 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.simclusters_v2.thriftscala.InternalId +import com.twitter.usersignalservice.thriftscala.SignalType +import com.twitter.usersignalservice.thriftscala.Signal + +trait SignalData { + val userId: Long + val signalType: SignalType +} + +case class RecentFollowsSignal( + override val userId: Long, + override val signalType: SignalType, + followedUserId: Long, + timestamp: Long) + extends SignalData + +object RecentFollowsSignal { + + def fromUssSignal(targetUserId: Long, signal: Signal): RecentFollowsSignal = { + val InternalId.UserId(followedUserId) = signal.targetInternalId.getOrElse( + throw new IllegalArgumentException("RecentFollow Signal does not have internalId")) + + RecentFollowsSignal( + userId = targetUserId, + followedUserId = followedUserId, + timestamp = signal.timestamp, + signalType = signal.signalType + ) + } + + def getRecentFollowedUserIds( + signalDataMap: Option[Map[SignalType, Seq[SignalData]]] + ): Option[Seq[Long]] = { + signalDataMap.map(_.getOrElse(SignalType.AccountFollow, default = Seq.empty).flatMap { + case RecentFollowsSignal(userId, signalType, followedUserId, timestamp) => + Some(followedUserId) + case _ => None + }) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/TrackingToken.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/TrackingToken.scala new file mode 100644 index 000000000..177e08f65 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/TrackingToken.scala @@ -0,0 +1,62 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.finagle.tracing.Trace +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.scrooge.BinaryThriftStructSerializer +import com.twitter.suggests.controller_data.thriftscala.ControllerData +import com.twitter.util.Base64StringEncoder + +/** + * used for attribution per target-candidate pair + * @param sessionId trace-id of the finagle request + * @param controllerData 64-bit encoded binary attributes of our recommendation + * @param algorithmId id for identifying a candidate source. maintained for backwards compatibility + */ +case class TrackingToken( + sessionId: Long, + displayLocation: Option[DisplayLocation], + controllerData: Option[ControllerData], + algorithmId: Option[Int]) { + + def toThrift: t.TrackingToken = { + Trace.id.traceId.toLong + t.TrackingToken( + sessionId = sessionId, + displayLocation = displayLocation.map(_.toThrift), + controllerData = controllerData, + algoId = algorithmId + ) + } + + def toOfflineThrift: offline.TrackingToken = { + offline.TrackingToken( + sessionId = sessionId, + displayLocation = displayLocation.map(_.toOfflineThrift), + controllerData = controllerData, + algoId = algorithmId + ) + } +} + +object TrackingToken { + val binaryThriftSerializer = BinaryThriftStructSerializer[t.TrackingToken](t.TrackingToken) + def serialize(trackingToken: TrackingToken): String = { + Base64StringEncoder.encode(binaryThriftSerializer.toBytes(trackingToken.toThrift)) + } + def deserialize(trackingTokenStr: String): TrackingToken = { + fromThrift(binaryThriftSerializer.fromBytes(Base64StringEncoder.decode(trackingTokenStr))) + } + def fromThrift(token: t.TrackingToken): TrackingToken = { + TrackingToken( + sessionId = token.sessionId, + displayLocation = token.displayLocation.map(DisplayLocation.fromThrift), + controllerData = token.controllerData, + algorithmId = token.algoId + ) + } +} + +trait HasTrackingToken { + def trackingToken: Option[TrackingToken] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/TweetCandidate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/TweetCandidate.scala new file mode 100644 index 000000000..1957e28cc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/TweetCandidate.scala @@ -0,0 +1,6 @@ +package com.twitter.follow_recommendations.common.models + +case class TweetCandidate( + tweetId: Long, + authorId: Long, + score: Option[Double]) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/UserCandidateSourceDetails.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/UserCandidateSourceDetails.scala new file mode 100644 index 000000000..73b766232 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/UserCandidateSourceDetails.scala @@ -0,0 +1,97 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.hermit.constants.AlgorithmFeedbackTokens._ +import com.twitter.hermit.ml.models.Feature +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier + +/** + * primaryCandidateSource param is showing the candidate source that responsible for generating this + * candidate, as the candidate might have gone through multiple candidate sources to get generated + * (for example if it has generated by a composite source). WeightedCandidateSourceRanker uses this + * field to do the sampling over candidate sources. All the sources used for generating this + * candidate (including the primary source) and their corresponding score exist in the + * candidateSourceScores field. + */ +case class UserCandidateSourceDetails( + primaryCandidateSource: Option[CandidateSourceIdentifier], + candidateSourceScores: Map[CandidateSourceIdentifier, Option[Double]] = Map.empty, + candidateSourceRanks: Map[CandidateSourceIdentifier, Int] = Map.empty, + addressBookMetadata: Option[AddressBookMetadata] = None, + candidateSourceFeatures: Map[CandidateSourceIdentifier, Seq[Feature]] = Map.empty, +) { + + def toThrift: t.CandidateSourceDetails = { + t.CandidateSourceDetails( + candidateSourceScores = Some(candidateSourceScores.map { + case (identifier, score) => + (identifier.name, score.getOrElse(0.0d)) + }), + primarySource = for { + identifier <- primaryCandidateSource + algo <- Algorithm.withNameOpt(identifier.name) + feedbackToken <- AlgorithmToFeedbackTokenMap.get(algo) + } yield feedbackToken + ) + } + + def toOfflineThrift: offline.CandidateSourceDetails = { + offline.CandidateSourceDetails( + candidateSourceScores = Some(candidateSourceScores.map { + case (identifier, score) => + (identifier.name, score.getOrElse(0.0d)) + }), + primarySource = for { + identifier <- primaryCandidateSource + algo <- Algorithm.withNameOpt(identifier.name) + feedbackToken <- AlgorithmToFeedbackTokenMap.get(algo) + } yield feedbackToken + ) + } +} + +object UserCandidateSourceDetails { + val algorithmNameMap: Map[String, Algorithm.Value] = Algorithm.values.map { + algorithmValue: Algorithm.Value => + (algorithmValue.toString, algorithmValue) + }.toMap + + /** + * This method is used to parse the candidate source of the candidates, which is only passed from + * the scoreUserCandidates endpoint. We create custom candidate source identifiers which + * CandidateAlgorithmSource will read from to hydrate the algorithm id feature. + * candidateSourceScores will not be populated from the endpoint, but we add the conversion for + * completeness. Note that the conversion uses the raw string of the Algorithm rather than the + * assigned strings that we give to our own candidate sources in the FRS. + */ + def fromThrift(details: t.CandidateSourceDetails): UserCandidateSourceDetails = { + val primaryCandidateSource: Option[CandidateSourceIdentifier] = for { + primarySourceToken <- details.primarySource + algo <- TokenToAlgorithmMap.get(primarySourceToken) + } yield CandidateSourceIdentifier(algo.toString) + + val candidateSourceScores = for { + scoreMap <- details.candidateSourceScores.toSeq + (name, score) <- scoreMap + algo <- algorithmNameMap.get(name) + } yield { + CandidateSourceIdentifier(algo.toString) -> Some(score) + } + val candidateSourceRanks = for { + rankMap <- details.candidateSourceRanks.toSeq + (name, rank) <- rankMap + algo <- algorithmNameMap.get(name) + } yield { + CandidateSourceIdentifier(algo.toString) -> rank + } + UserCandidateSourceDetails( + primaryCandidateSource = primaryCandidateSource, + candidateSourceScores = candidateSourceScores.toMap, + candidateSourceRanks = candidateSourceRanks.toMap, + addressBookMetadata = None, + candidateSourceFeatures = Map.empty + ) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/UserIdAndTimestamp.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/UserIdAndTimestamp.scala new file mode 100644 index 000000000..74f33eb40 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/UserIdAndTimestamp.scala @@ -0,0 +1,3 @@ +package com.twitter.follow_recommendations.common.models + +case class UserIdWithTimestamp(userId: Long, timeInMs: Long) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/WtfImpression.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/WtfImpression.scala new file mode 100644 index 000000000..39e0561a2 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/WtfImpression.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.models + +import com.twitter.util.Time + +/** + * Domain model for representing impressions on wtf recommendations in the past 16 days + */ +case class WtfImpression( + candidateId: Long, + displayLocation: DisplayLocation, + latestTime: Time, + counts: Int) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/BUILD new file mode 100644 index 000000000..ffcbe65a7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/BUILD @@ -0,0 +1,21 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "escherbird/src/scala/com/twitter/escherbird/util/stitchcache", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/features", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CandidateParamPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CandidateParamPredicate.scala new file mode 100644 index 000000000..0713f728f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CandidateParamPredicate.scala @@ -0,0 +1,21 @@ +package com.twitter.follow_recommendations.common.predicates + +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Param + +class CandidateParamPredicate[A <: HasParams]( + param: Param[Boolean], + reason: FilterReason) + extends Predicate[A] { + override def apply(candidate: A): Stitch[PredicateResult] = { + if (candidate.params(param)) { + Stitch.value(PredicateResult.Valid) + } else { + Stitch.value(PredicateResult.Invalid(Set(reason))) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CandidateSourceParamPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CandidateSourceParamPredicate.scala new file mode 100644 index 000000000..cf08f5623 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CandidateSourceParamPredicate.scala @@ -0,0 +1,31 @@ +package com.twitter.follow_recommendations.common.predicates + +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.Param + +/** + * This predicate allows us to filter candidates given its source. + * To avoid bucket dilution, we only want to evaluate the param (which would implicitly trigger + * bucketing for FSParams) only if the candidate source fn yields true. + * The param provided should be true when we want to keep the candidate and false otherwise. + */ +class CandidateSourceParamPredicate( + val param: Param[Boolean], + val reason: FilterReason, + candidateSources: Set[CandidateSourceIdentifier]) + extends Predicate[CandidateUser] { + override def apply(candidate: CandidateUser): Stitch[PredicateResult] = { + // we want to avoid evaluating the param if the candidate source fn yields false + if (candidate.getCandidateSources.keys.exists(candidateSources.contains) && !candidate.params( + param)) { + Stitch.value(PredicateResult.Invalid(Set(reason))) + } else { + Stitch.value(PredicateResult.Valid) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CuratedCompetitorListPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CuratedCompetitorListPredicate.scala new file mode 100644 index 000000000..16d76ce44 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/CuratedCompetitorListPredicate.scala @@ -0,0 +1,66 @@ +package com.twitter.follow_recommendations.common.predicates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.models.FilterReason.CuratedAccountsCompetitorList +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.conversions.DurationOps._ +import com.twitter.escherbird.util.stitchcache.StitchCache + +@Singleton +case class CuratedCompetitorListPredicate @Inject() ( + statsReceiver: StatsReceiver, + @Named(GuiceNamedConstants.CURATED_COMPETITOR_ACCOUNTS_FETCHER) competitorAccountFetcher: Fetcher[ + String, + Unit, + Seq[Long] + ]) extends Predicate[CandidateUser] { + + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getName) + private val cacheStats = stats.scope("cache") + + private val cache = StitchCache[String, Set[Long]]( + maxCacheSize = CuratedCompetitorListPredicate.CacheNumberOfEntries, + ttl = CuratedCompetitorListPredicate.CacheTTL, + statsReceiver = cacheStats, + underlyingCall = (competitorListPrefix: String) => query(competitorListPrefix) + ) + + private def query(prefix: String): Stitch[Set[Long]] = + competitorAccountFetcher.fetch(prefix).map(_.v.getOrElse(Nil).toSet) + + /** + * Caveat here is that though the similarToUserIds allows for a Seq[Long], in practice we would + * only return 1 userId. Multiple userId's would result in filtering candidates associated with + * a different similarToUserId. For example: + * - similarToUser1 -> candidate1, candidate2 + * - similarToUser2 -> candidate3 + * and in the competitorList store we have: + * - similarToUser1 -> candidate3 + * we'll be filtering candidate3 on account of similarToUser1, even though it was generated + * with similarToUser2. This might still be desirable at a product level (since we don't want + * to show these accounts anyway), but might not achieve what you intend to code-wise. + */ + override def apply(candidate: CandidateUser): Stitch[PredicateResult] = { + cache.readThrough(CuratedCompetitorListPredicate.DefaultKey).map { competitorListAccounts => + if (competitorListAccounts.contains(candidate.id)) { + PredicateResult.Invalid(Set(CuratedAccountsCompetitorList)) + } else { + PredicateResult.Valid + } + } + } +} + +object CuratedCompetitorListPredicate { + val DefaultKey: String = "default_list" + val CacheTTL = 5.minutes + val CacheNumberOfEntries = 5 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/ExcludedUserIdPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/ExcludedUserIdPredicate.scala new file mode 100644 index 000000000..01a5f96fd --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/ExcludedUserIdPredicate.scala @@ -0,0 +1,24 @@ +package com.twitter.follow_recommendations.common.predicates + +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.FilterReason.ExcludedId +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasExcludedUserIds +import com.twitter.stitch.Stitch + +object ExcludedUserIdPredicate extends Predicate[(HasExcludedUserIds, CandidateUser)] { + + val ValidStitch: Stitch[PredicateResult.Valid.type] = Stitch.value(PredicateResult.Valid) + val ExcludedStitch: Stitch[PredicateResult.Invalid] = + Stitch.value(PredicateResult.Invalid(Set(ExcludedId))) + + override def apply(pair: (HasExcludedUserIds, CandidateUser)): Stitch[PredicateResult] = { + val (excludedUserIds, candidate) = pair + if (excludedUserIds.excludedUserIds.contains(candidate.id)) { + ExcludedStitch + } else { + ValidStitch + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/InactivePredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/InactivePredicate.scala new file mode 100644 index 000000000..c77538a99 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/InactivePredicate.scala @@ -0,0 +1,121 @@ +package com.twitter.follow_recommendations.common.predicates + +import com.google.inject.name.Named +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.follow_recommendations.common.predicates.InactivePredicateParams._ +import com.twitter.service.metastore.gen.thriftscala.UserRecommendabilityFeatures +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Duration +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.conversions.DurationOps._ +import com.twitter.escherbird.util.stitchcache.StitchCache +import com.twitter.follow_recommendations.common.models.HasUserState +import com.twitter.follow_recommendations.common.predicates.InactivePredicateParams.DefaultInactivityThreshold +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext + +import java.lang.{Long => JLong} + +@Singleton +case class InactivePredicate @Inject() ( + statsReceiver: StatsReceiver, + @Named(GuiceNamedConstants.USER_RECOMMENDABILITY_FETCHER) userRecommendabilityFetcher: Fetcher[ + Long, + Unit, + UserRecommendabilityFeatures + ]) extends Predicate[(HasParams with HasClientContext with HasUserState, CandidateUser)] { + + private val stats: StatsReceiver = statsReceiver.scope("InactivePredicate") + private val cacheStats = stats.scope("cache") + + private def queryUserRecommendable(userId: Long): Stitch[Option[UserRecommendabilityFeatures]] = + userRecommendabilityFetcher.fetch(userId).map(_.v) + + private val userRecommendableCache = + StitchCache[JLong, Option[UserRecommendabilityFeatures]]( + maxCacheSize = 100000, + ttl = 12.hours, + statsReceiver = cacheStats.scope("UserRecommendable"), + underlyingCall = (userId: JLong) => queryUserRecommendable(userId) + ) + + override def apply( + targetAndCandidate: (HasParams with HasClientContext with HasUserState, CandidateUser) + ): Stitch[PredicateResult] = { + val (target, candidate) = targetAndCandidate + + userRecommendableCache + .readThrough(candidate.id).map { + case recFeaturesFetchResult => + recFeaturesFetchResult match { + case None => + PredicateResult.Invalid(Set(FilterReason.MissingRecommendabilityData)) + case Some(recFeatures) => + if (disableInactivityPredicate(target, target.userState, recFeatures.userState)) { + PredicateResult.Valid + } else { + val defaultInactivityThreshold = target.params(DefaultInactivityThreshold).days + val hasBeenActiveRecently = recFeatures.lastStatusUpdateMs + .map(Time.now - Time.fromMilliseconds(_)).getOrElse( + Duration.Top) < defaultInactivityThreshold + stats + .scope(defaultInactivityThreshold.toString).counter( + if (hasBeenActiveRecently) + "active" + else + "inactive" + ).incr() + if (hasBeenActiveRecently && (!target + .params(UseEggFilter) || recFeatures.isNotEgg.contains(1))) { + PredicateResult.Valid + } else { + PredicateResult.Invalid(Set(FilterReason.Inactive)) + } + } + } + }.rescue { + case e: Exception => + stats.counter(e.getClass.getSimpleName).incr() + Stitch(PredicateResult.Invalid(Set(FilterReason.FailOpen))) + } + } + + private[this] def disableInactivityPredicate( + target: HasParams, + consumerState: Option[UserState], + candidateState: Option[UserState] + ): Boolean = { + target.params(MightBeDisabled) && + consumerState.exists(InactivePredicate.ValidConsumerStates.contains) && + ( + ( + candidateState.exists(InactivePredicate.ValidCandidateStates.contains) && + !target.params(OnlyDisableForNewUserStateCandidates) + ) || + ( + candidateState.contains(UserState.New) && + target.params(OnlyDisableForNewUserStateCandidates) + ) + ) + } +} + +object InactivePredicate { + val ValidConsumerStates: Set[UserState] = Set( + UserState.HeavyNonTweeter, + UserState.MediumNonTweeter, + UserState.HeavyTweeter, + UserState.MediumTweeter + ) + val ValidCandidateStates: Set[UserState] = + Set(UserState.New, UserState.VeryLight, UserState.Light, UserState.NearZero) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/InactivePredicateParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/InactivePredicateParams.scala new file mode 100644 index 000000000..0bb52caa8 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/InactivePredicateParams.scala @@ -0,0 +1,21 @@ +package com.twitter.follow_recommendations.common.predicates + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param + +object InactivePredicateParams { + case object DefaultInactivityThreshold + extends FSBoundedParam[Int]( + name = "inactive_predicate_default_inactivity_threshold", + default = 60, + min = 1, + max = 500 + ) + case object UseEggFilter extends Param[Boolean](true) + case object MightBeDisabled extends FSParam[Boolean]("inactive_predicate_might_be_disabled", true) + case object OnlyDisableForNewUserStateCandidates + extends FSParam[Boolean]( + "inactive_predicate_only_disable_for_new_user_state_candidates", + false) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/PreviouslyRecommendedUserIdsPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/PreviouslyRecommendedUserIdsPredicate.scala new file mode 100644 index 000000000..7879860ac --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/PreviouslyRecommendedUserIdsPredicate.scala @@ -0,0 +1,34 @@ +package com.twitter.follow_recommendations.common.predicates + +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.follow_recommendations.common.models.HasPreviousRecommendationsContext +import com.twitter.stitch.Stitch +import javax.inject.Singleton + +@Singleton +class PreviouslyRecommendedUserIdsPredicate + extends Predicate[(HasPreviousRecommendationsContext, CandidateUser)] { + override def apply( + pair: (HasPreviousRecommendationsContext, CandidateUser) + ): Stitch[PredicateResult] = { + + val (targetUser, candidate) = pair + + val previouslyRecommendedUserIDs = targetUser.previouslyRecommendedUserIDs + + if (!previouslyRecommendedUserIDs.contains(candidate.id)) { + PreviouslyRecommendedUserIdsPredicate.ValidStitch + } else { + PreviouslyRecommendedUserIdsPredicate.AlreadyRecommendedStitch + } + } +} + +object PreviouslyRecommendedUserIdsPredicate { + val ValidStitch: Stitch[PredicateResult.Valid.type] = Stitch.value(PredicateResult.Valid) + val AlreadyRecommendedStitch: Stitch[PredicateResult.Invalid] = + Stitch.value(PredicateResult.Invalid(Set(FilterReason.AlreadyRecommended))) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/BUILD new file mode 100644 index 000000000..9d1ca9b40 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/BUILD @@ -0,0 +1,17 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/dismiss_store", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/DismissedCandidatePredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/DismissedCandidatePredicate.scala new file mode 100644 index 000000000..550017b95 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/DismissedCandidatePredicate.scala @@ -0,0 +1,32 @@ +package com.twitter.follow_recommendations.common.predicates.dismiss + +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.FilterReason.DismissedId +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDismissedUserIds +import com.twitter.stitch.Stitch +import javax.inject.Singleton + +@Singleton +class DismissedCandidatePredicate extends Predicate[(HasDismissedUserIds, CandidateUser)] { + + override def apply(pair: (HasDismissedUserIds, CandidateUser)): Stitch[PredicateResult] = { + + val (targetUser, candidate) = pair + targetUser.dismissedUserIds + .map { dismissedUserIds => + if (!dismissedUserIds.contains(candidate.id)) { + DismissedCandidatePredicate.ValidStitch + } else { + DismissedCandidatePredicate.DismissedStitch + } + }.getOrElse(DismissedCandidatePredicate.ValidStitch) + } +} + +object DismissedCandidatePredicate { + val ValidStitch: Stitch[PredicateResult.Valid.type] = Stitch.value(PredicateResult.Valid) + val DismissedStitch: Stitch[PredicateResult.Invalid] = + Stitch.value(PredicateResult.Invalid(Set(DismissedId))) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/DismissedCandidatePredicateParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/DismissedCandidatePredicateParams.scala new file mode 100644 index 000000000..7f1d51a07 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss/DismissedCandidatePredicateParams.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.common.predicates.dismiss + +import com.twitter.conversions.DurationOps._ +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +object DismissedCandidatePredicateParams { + case object LookBackDuration extends Param[Duration](180.days) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/BUILD new file mode 100644 index 000000000..a154121e6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/BUILD @@ -0,0 +1,23 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "escherbird/src/scala/com/twitter/escherbird/util/stitchcache", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "stitch/stitch-gizmoduck", + "util/util-slf4j-api/src/main/scala", + "util/util-thrift", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicate.scala new file mode 100644 index 000000000..2ca3e2fc5 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicate.scala @@ -0,0 +1,284 @@ +package com.twitter.follow_recommendations.common.predicates.gizmoduck + +import com.twitter.decider.Decider +import com.twitter.decider.RandomRecipient +import com.twitter.escherbird.util.stitchcache.StitchCache +import com.twitter.finagle.Memcached.Client +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.clients.cache.MemcacheClient +import com.twitter.follow_recommendations.common.clients.cache.ThriftBijection +import com.twitter.follow_recommendations.common.models.FilterReason._ +import com.twitter.follow_recommendations.common.models.AddressBookMetadata +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.follow_recommendations.common.predicates.gizmoduck.GizmoduckPredicate._ +import com.twitter.follow_recommendations.common.predicates.gizmoduck.GizmoduckPredicateParams._ +import com.twitter.follow_recommendations.configapi.deciders.DeciderKey +import com.twitter.gizmoduck.thriftscala.LabelValue.BlinkBad +import com.twitter.gizmoduck.thriftscala.LabelValue.BlinkWorst +import com.twitter.gizmoduck.thriftscala.LabelValue +import com.twitter.gizmoduck.thriftscala.LookupContext +import com.twitter.gizmoduck.thriftscala.QueryFields +import com.twitter.gizmoduck.thriftscala.User +import com.twitter.gizmoduck.thriftscala.UserResult +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.scrooge.CompactThriftSerializer +import com.twitter.spam.rtf.thriftscala.SafetyLevel +import com.twitter.stitch.Stitch +import com.twitter.stitch.gizmoduck.Gizmoduck +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Duration +import com.twitter.util.logging.Logging +import java.lang.{Long => JLong} +import javax.inject.Inject +import javax.inject.Singleton + +/** + * In this filter, we want to check 4 categories of conditions: + * - if candidate is discoverable given that it's from an address-book/phone-book based source + * - if candidate is unsuitable based on it's safety sub-fields in gizmoduck + * - if candidate is withheld because of country-specific take-down policies + * - if candidate is marked as bad/worst based on blink labels + * We fail close on the query as this is a product-critical filter + */ +@Singleton +case class GizmoduckPredicate @Inject() ( + gizmoduck: Gizmoduck, + client: Client, + statsReceiver: StatsReceiver, + decider: Decider = Decider.False) + extends Predicate[(HasClientContext with HasParams, CandidateUser)] + with Logging { + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getName) + + // track # of Gizmoduck predicate queries that yielded valid & invalid predicate results + private val validPredicateResultCounter = stats.counter("predicate_valid") + private val invalidPredicateResultCounter = stats.counter("predicate_invalid") + + // track # of cases where no Gizmoduck user was found + private val noGizmoduckUserCounter = stats.counter("no_gizmoduck_user_found") + + private val gizmoduckCache = StitchCache[JLong, UserResult]( + maxCacheSize = MaxCacheSize, + ttl = CacheTTL, + statsReceiver = stats.scope("cache"), + underlyingCall = getByUserId + ) + + // Distributed Twemcache to store UserResult objects keyed on user IDs + val bijection = new ThriftBijection[UserResult] { + override val serializer = CompactThriftSerializer(UserResult) + } + val memcacheClient = MemcacheClient[UserResult]( + client = client, + dest = "/s/cache/frs:twemcaches", + valueBijection = bijection, + ttl = CacheTTL, + statsReceiver = stats.scope("twemcache") + ) + + // main method used to apply GizmoduckPredicate to a candidate user + override def apply( + pair: (HasClientContext with HasParams, CandidateUser) + ): Stitch[PredicateResult] = { + val (request, candidate) = pair + // measure the latency of the getGizmoduckPredicateResult, since this predicate + // check is product-critical and relies on querying a core service (Gizmoduck) + StatsUtil.profileStitch( + getGizmoduckPredicateResult(request, candidate), + stats.scope("getGizmoduckPredicateResult") + ) + } + + private def getGizmoduckPredicateResult( + request: HasClientContext with HasParams, + candidate: CandidateUser + ): Stitch[PredicateResult] = { + val timeout: Duration = request.params(GizmoduckGetTimeout) + + val deciderKey: String = DeciderKey.EnableGizmoduckCaching.toString + val enableDistributedCaching: Boolean = decider.isAvailable(deciderKey, Some(RandomRecipient)) + + // try getting an existing UserResult from cache if possible + val userResultStitch: Stitch[UserResult] = + enableDistributedCaching match { + // read from memcache + case true => memcacheClient.readThrough( + // add a key prefix to address cache key collisions + key = "GizmoduckPredicate" + candidate.id.toString, + underlyingCall = () => getByUserId(candidate.id) + ) + // read from local cache + case false => gizmoduckCache.readThrough(candidate.id) + } + + val predicateResultStitch = userResultStitch.map { + userResult => { + val predicateResult = getPredicateResult(request, candidate, userResult) + if (enableDistributedCaching) { + predicateResult match { + case PredicateResult.Valid => + stats.scope("twemcache").counter("predicate_valid").incr() + case PredicateResult.Invalid(reasons) => + stats.scope("twemcache").counter("predicate_invalid").incr() + } + // log metrics to check if local cache value matches distributed cache value + logPredicateResultEquality( + request, + candidate, + predicateResult + ) + } else { + predicateResult match { + case PredicateResult.Valid => + stats.scope("cache").counter("predicate_valid").incr() + case PredicateResult.Invalid(reasons) => + stats.scope("cache").counter("predicate_invalid").incr() + } + } + predicateResult + } + } + predicateResultStitch + .within(timeout)(DefaultTimer) + .rescue { // fail-open when timeout or exception + case e: Exception => + stats.scope("rescued").counter(e.getClass.getSimpleName).incr() + invalidPredicateResultCounter.incr() + Stitch(PredicateResult.Invalid(Set(FailOpen))) + } + } + + private def logPredicateResultEquality( + request: HasClientContext with HasParams, + candidate: CandidateUser, + predicateResult: PredicateResult + ): Unit = { + val localCachedUserResult = Option(gizmoduckCache.cache.getIfPresent(candidate.id)) + if (localCachedUserResult.isDefined) { + val localPredicateResult = getPredicateResult(request, candidate, localCachedUserResult.get) + localPredicateResult.equals(predicateResult) match { + case true => stats.scope("has_equal_predicate_value").counter("true").incr() + case false => stats.scope("has_equal_predicate_value").counter("false").incr() + } + } else { + stats.scope("has_equal_predicate_value").counter("undefined").incr() + } + } + + // method to get PredicateResult from UserResult + def getPredicateResult( + request: HasClientContext with HasParams, + candidate: CandidateUser, + userResult: UserResult, + ): PredicateResult = { + userResult.user match { + case Some(user) => + val abPbReasons = getAbPbReason(user, candidate.getAddressBookMetadata) + val safetyReasons = getSafetyReasons(user) + val countryTakedownReasons = getCountryTakedownReasons(user, request.getCountryCode) + val blinkReasons = getBlinkReasons(user) + val allReasons = + abPbReasons ++ safetyReasons ++ countryTakedownReasons ++ blinkReasons + if (allReasons.nonEmpty) { + invalidPredicateResultCounter.incr() + PredicateResult.Invalid(allReasons) + } else { + validPredicateResultCounter.incr() + PredicateResult.Valid + } + case None => + noGizmoduckUserCounter.incr() + invalidPredicateResultCounter.incr() + PredicateResult.Invalid(Set(NoUser)) + } + } + + private def getByUserId(userId: JLong): Stitch[UserResult] = { + StatsUtil.profileStitch( + gizmoduck.getById(userId = userId, queryFields = queryFields, context = lookupContext), + stats.scope("getByUserId") + ) + } +} + +object GizmoduckPredicate { + + private[gizmoduck] val lookupContext: LookupContext = + LookupContext(`includeDeactivated` = true, `safetyLevel` = Some(SafetyLevel.Recommendations)) + + private[gizmoduck] val queryFields: Set[QueryFields] = + Set( + QueryFields.Discoverability, // needed for Address Book / Phone Book discoverability checks in getAbPbReason + QueryFields.Safety, // needed for user state safety checks in getSafetyReasons, getCountryTakedownReasons + QueryFields.Labels, // needed for user label checks in getBlinkReasons + QueryFields.Takedowns // needed for checking takedown labels for a user in getCountryTakedownReasons + ) + + private[gizmoduck] val BlinkLabels: Set[LabelValue] = Set(BlinkBad, BlinkWorst) + + private[gizmoduck] def getAbPbReason( + user: User, + abMetadataOpt: Option[AddressBookMetadata] + ): Set[FilterReason] = { + (for { + discoverability <- user.discoverability + abMetadata <- abMetadataOpt + } yield { + val AddressBookMetadata(fwdPb, rvPb, fwdAb, rvAb) = abMetadata + val abReason: Set[FilterReason] = + if ((!discoverability.discoverableByEmail) && (fwdAb || rvAb)) + Set(AddressBookUndiscoverable) + else Set.empty + val pbReason: Set[FilterReason] = + if ((!discoverability.discoverableByMobilePhone) && (fwdPb || rvPb)) + Set(PhoneBookUndiscoverable) + else Set.empty + abReason ++ pbReason + }).getOrElse(Set.empty) + } + + private[gizmoduck] def getSafetyReasons(user: User): Set[FilterReason] = { + user.safety + .map { s => + val deactivatedReason: Set[FilterReason] = + if (s.deactivated) Set(Deactivated) else Set.empty + val suspendedReason: Set[FilterReason] = if (s.suspended) Set(Suspended) else Set.empty + val restrictedReason: Set[FilterReason] = if (s.restricted) Set(Restricted) else Set.empty + val nsfwUserReason: Set[FilterReason] = if (s.nsfwUser) Set(NsfwUser) else Set.empty + val nsfwAdminReason: Set[FilterReason] = if (s.nsfwAdmin) Set(NsfwAdmin) else Set.empty + val isProtectedReason: Set[FilterReason] = if (s.isProtected) Set(IsProtected) else Set.empty + deactivatedReason ++ suspendedReason ++ restrictedReason ++ nsfwUserReason ++ nsfwAdminReason ++ isProtectedReason + }.getOrElse(Set.empty) + } + + private[gizmoduck] def getCountryTakedownReasons( + user: User, + countryCodeOpt: Option[String] + ): Set[FilterReason] = { + (for { + safety <- user.safety.toSeq + if safety.hasTakedown + takedowns <- user.takedowns.toSeq + takedownCountry <- takedowns.countryCodes + requestingCountry <- countryCodeOpt + if takedownCountry.toLowerCase == requestingCountry.toLowerCase + } yield Set(CountryTakedown(takedownCountry.toLowerCase))).flatten.toSet + } + + private[gizmoduck] def getBlinkReasons(user: User): Set[FilterReason] = { + user.labels + .map(_.labels.map(_.labelValue)) + .getOrElse(Nil) + .exists(BlinkLabels.contains) + for { + labels <- user.labels.toSeq + label <- labels.labels + if (BlinkLabels.contains(label.labelValue)) + } yield Set(Blink) + }.flatten.toSet +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateCache.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateCache.scala new file mode 100644 index 000000000..36fb2f20f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateCache.scala @@ -0,0 +1,50 @@ +package com.twitter.follow_recommendations.common.predicates.gizmoduck + +import java.util.concurrent.TimeUnit + +import com.google.common.base.Ticker +import com.google.common.cache.CacheBuilder +import com.google.common.cache.Cache +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.util.Time +import com.twitter.util.Duration + +/** + * In-memory cache used for caching GizmoduckPredicate query calls in + * com.twitter.follow_recommendations.common.predicates.gizmoduck.GizmoduckPredicate. + * + * References the cache implementation in com.twitter.escherbird.util.stitchcache, + * but without the underlying Stitch call. + */ +object GizmoduckPredicateCache { + + private[GizmoduckPredicateCache] class TimeTicker extends Ticker { + override def read(): Long = Time.now.inNanoseconds + } + + def apply[K, V]( + maxCacheSize: Int, + ttl: Duration, + statsReceiver: StatsReceiver + ): Cache[K, V] = { + + val cache: Cache[K, V] = + CacheBuilder + .newBuilder() + .maximumSize(maxCacheSize) + .asInstanceOf[CacheBuilder[K, V]] + .expireAfterWrite(ttl.inSeconds, TimeUnit.SECONDS) + .recordStats() + .ticker(new TimeTicker()) + .build() + + // metrics for tracking cache usage + statsReceiver.provideGauge("cache_size") { cache.size.toFloat } + statsReceiver.provideGauge("cache_hits") { cache.stats.hitCount.toFloat } + statsReceiver.provideGauge("cache_misses") { cache.stats.missCount.toFloat } + statsReceiver.provideGauge("cache_hit_rate") { cache.stats.hitRate.toFloat } + statsReceiver.provideGauge("cache_evictions") { cache.stats.evictionCount.toFloat } + + cache + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateFSConfig.scala new file mode 100644 index 000000000..447eac835 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateFSConfig.scala @@ -0,0 +1,17 @@ +package com.twitter.follow_recommendations.common.predicates.gizmoduck + +import com.twitter.follow_recommendations.common.predicates.gizmoduck.GizmoduckPredicateParams._ +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class GizmoduckPredicateFSConfig @Inject() () extends FeatureSwitchConfig { + override val durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = Seq( + GizmoduckGetTimeout + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateParams.scala new file mode 100644 index 000000000..811897e27 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck/GizmoduckPredicateParams.scala @@ -0,0 +1,21 @@ +package com.twitter.follow_recommendations.common.predicates.gizmoduck + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration +import com.twitter.conversions.DurationOps._ + +object GizmoduckPredicateParams { + case object GizmoduckGetTimeout + extends FSBoundedParam[Duration]( + name = "gizmoduck_predicate_timeout_in_millis", + default = 200.millisecond, + min = 1.millisecond, + max = 500.millisecond) + with HasDurationConversion { + override def durationConversion: DurationConversion = DurationConversion.FromMillis + } + val MaxCacheSize: Int = 250000 + val CacheTTL: Duration = Duration.fromHours(6) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/BUILD new file mode 100644 index 000000000..d0e9e1015 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/BUILD @@ -0,0 +1,21 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "escherbird/src/scala/com/twitter/escherbird/util/stitchcache", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "strato/config/columns/hss/user_signals/api:api-strato-client", + "util/util-slf4j-api/src/main/scala", + "util/util-thrift", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicate.scala new file mode 100644 index 000000000..7464be7df --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicate.scala @@ -0,0 +1,95 @@ +package com.twitter.follow_recommendations.common.predicates.hss + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.follow_recommendations.common.models.FilterReason.FailOpen +import com.twitter.hss.api.thriftscala.SignalValue +import com.twitter.hss.api.thriftscala.UserHealthSignal.AgathaCseDouble +import com.twitter.hss.api.thriftscala.UserHealthSignal.NsfwAgathaUserScoreDouble +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.hss.user_signals.api.HealthSignalsOnUserClientColumn +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.logging.Logging +import com.twitter.util.Duration + +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Filter out candidates based on Health Signal Store (HSS) health signals + */ +@Singleton +case class HssPredicate @Inject() ( + healthSignalsOnUserClientColumn: HealthSignalsOnUserClientColumn, + statsReceiver: StatsReceiver) + extends Predicate[(HasClientContext with HasParams, CandidateUser)] + with Logging { + + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getName) + + override def apply( + pair: (HasClientContext with HasParams, CandidateUser) + ): Stitch[PredicateResult] = { + val (request, candidate) = pair + StatsUtil.profileStitch( + getHssPredicateResult(request, candidate), + stats.scope("getHssPredicateResult") + ) + } + + private def getHssPredicateResult( + request: HasClientContext with HasParams, + candidate: CandidateUser + ): Stitch[PredicateResult] = { + + val hssCseScoreThreshold: Double = request.params(HssPredicateParams.HssCseScoreThreshold) + val hssNsfwScoreThreshold: Double = request.params(HssPredicateParams.HssNsfwScoreThreshold) + val timeout: Duration = request.params(HssPredicateParams.HssApiTimeout) + + healthSignalsOnUserClientColumn.fetcher + .fetch(candidate.id, Seq(AgathaCseDouble, NsfwAgathaUserScoreDouble)) + .map { fetchResult => + fetchResult.v match { + case Some(response) => + val agathaCseScoreDouble: Double = userHealthSignalValueToDoubleOpt( + response.signalValues.get(AgathaCseDouble)).getOrElse(0d) + val agathaNsfwScoreDouble: Double = userHealthSignalValueToDoubleOpt( + response.signalValues.get(NsfwAgathaUserScoreDouble)).getOrElse(0d) + + stats.stat("agathaCseScoreDistribution").add(agathaCseScoreDouble.toFloat) + stats.stat("agathaNsfwScoreDistribution").add(agathaNsfwScoreDouble.toFloat) + + /** + * Only filter out the candidate when it has both high Agatha CSE score and NSFW score, as the Agatha CSE + * model is an old one that may not be precise or have high recall. + */ + if (agathaCseScoreDouble >= hssCseScoreThreshold && agathaNsfwScoreDouble >= hssNsfwScoreThreshold) { + PredicateResult.Invalid(Set(FilterReason.HssSignal)) + } else { + PredicateResult.Valid + } + case None => + PredicateResult.Valid + } + } + .within(timeout)(DefaultTimer) + .rescue { + case e: Exception => + stats.scope("rescued").counter(e.getClass.getSimpleName).incr() + Stitch(PredicateResult.Invalid(Set(FailOpen))) + } + } + + private def userHealthSignalValueToDoubleOpt(signalValue: Option[SignalValue]): Option[Double] = { + signalValue match { + case Some(SignalValue.DoubleValue(value)) => Some(value) + case _ => None + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicateFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicateFSConfig.scala new file mode 100644 index 000000000..8cc1620a9 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicateFSConfig.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.common.predicates.hss + +import com.twitter.follow_recommendations.common.predicates.hss.HssPredicateParams._ +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HssPredicateFSConfig @Inject() () extends FeatureSwitchConfig { + override val doubleFSParams: Seq[FSBoundedParam[Double]] = Seq( + HssCseScoreThreshold, + HssNsfwScoreThreshold, + ) + + override val durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = Seq( + HssApiTimeout + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicateParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicateParams.scala new file mode 100644 index 000000000..ac6e14bbe --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health/HssPredicateParams.scala @@ -0,0 +1,34 @@ +package com.twitter.follow_recommendations.common.predicates.hss + +import com.twitter.conversions.DurationOps._ +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration + +object HssPredicateParams { + object HssCseScoreThreshold + extends FSBoundedParam[Double]( + "hss_predicate_cse_score_threshold", + default = 0.992d, + min = 0.0d, + max = 1.0d) + + object HssNsfwScoreThreshold + extends FSBoundedParam[Double]( + "hss_predicate_nsfw_score_threshold", + default = 1.5d, + min = -100.0d, + max = 100.0d) + + object HssApiTimeout + extends FSBoundedParam[Duration]( + name = "hss_predicate_timeout_in_millis", + default = 200.millisecond, + min = 1.millisecond, + max = 500.millisecond) + with HasDurationConversion { + override def durationConversion: DurationConversion = DurationConversion.FromMillis + } + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/BUILD new file mode 100644 index 000000000..0df7b245a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/BUILD @@ -0,0 +1,19 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "src/thrift/com/twitter/socialgraph:thrift-scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/InvalidRelationshipPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/InvalidRelationshipPredicate.scala new file mode 100644 index 000000000..84b8bf7a6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/InvalidRelationshipPredicate.scala @@ -0,0 +1,36 @@ +package com.twitter.follow_recommendations.common.predicates.sgs + +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.follow_recommendations.common.models.HasInvalidRelationshipUserIds +import com.twitter.stitch.Stitch +import javax.inject.Singleton + +@Singleton +class InvalidRelationshipPredicate + extends Predicate[(HasInvalidRelationshipUserIds, CandidateUser)] { + + override def apply( + pair: (HasInvalidRelationshipUserIds, CandidateUser) + ): Stitch[PredicateResult] = { + + val (targetUser, candidate) = pair + targetUser.invalidRelationshipUserIds match { + case Some(users) => + if (!users.contains(candidate.id)) { + InvalidRelationshipPredicate.ValidStitch + } else { + Stitch.value(InvalidRelationshipPredicate.InvalidRelationshipStitch) + } + case None => Stitch.value(PredicateResult.Valid) + } + } +} + +object InvalidRelationshipPredicate { + val ValidStitch: Stitch[PredicateResult.Valid.type] = Stitch.value(PredicateResult.Valid) + val InvalidRelationshipStitch: PredicateResult.Invalid = + PredicateResult.Invalid(Set(FilterReason.InvalidRelationship)) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/RecentFollowingPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/RecentFollowingPredicate.scala new file mode 100644 index 000000000..60f0080b8 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/RecentFollowingPredicate.scala @@ -0,0 +1,33 @@ +package com.twitter.follow_recommendations.common.predicates.sgs + +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.stitch.Stitch +import javax.inject.Singleton + +@Singleton +class RecentFollowingPredicate extends Predicate[(HasRecentFollowedUserIds, CandidateUser)] { + + override def apply(pair: (HasRecentFollowedUserIds, CandidateUser)): Stitch[PredicateResult] = { + + val (targetUser, candidate) = pair + targetUser.recentFollowedUserIdsSet match { + case Some(users) => + if (!users.contains(candidate.id)) { + RecentFollowingPredicate.ValidStitch + } else { + RecentFollowingPredicate.AlreadyFollowedStitch + } + case None => RecentFollowingPredicate.ValidStitch + } + } +} + +object RecentFollowingPredicate { + val ValidStitch: Stitch[PredicateResult.Valid.type] = Stitch.value(PredicateResult.Valid) + val AlreadyFollowedStitch: Stitch[PredicateResult.Invalid] = + Stitch.value(PredicateResult.Invalid(Set(FilterReason.AlreadyFollowed))) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsPredicateFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsPredicateFSConfig.scala new file mode 100644 index 000000000..f661dbbab --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsPredicateFSConfig.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.common.predicates.sgs + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SgsPredicateFSConfig @Inject() () extends FeatureSwitchConfig { + override val durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = Seq( + SgsPredicateParams.SgsRelationshipsPredicateTimeout + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsPredicateParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsPredicateParams.scala new file mode 100644 index 000000000..dd615c47d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsPredicateParams.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.common.predicates.sgs + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration +import com.twitter.conversions.DurationOps._ + +object SgsPredicateParams { + case object SgsRelationshipsPredicateTimeout + extends FSBoundedParam[Duration]( + name = "sgs_predicate_relationships_timeout_in_millis", + default = 300.millisecond, + min = 1.millisecond, + max = 1000.millisecond) + with HasDurationConversion { + override def durationConversion: DurationConversion = DurationConversion.FromMillis + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsRelationshipsByUserIdPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsRelationshipsByUserIdPredicate.scala new file mode 100644 index 000000000..dec936e58 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsRelationshipsByUserIdPredicate.scala @@ -0,0 +1,113 @@ +package com.twitter.follow_recommendations.common.predicates.sgs + +import com.google.common.annotations.VisibleForTesting +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason.InvalidRelationshipTypes +import com.twitter.socialgraph.thriftscala.ExistsRequest +import com.twitter.socialgraph.thriftscala.ExistsResult +import com.twitter.socialgraph.thriftscala.LookupContext +import com.twitter.socialgraph.thriftscala.Relationship +import com.twitter.socialgraph.thriftscala.RelationshipType +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.SocialGraph +import com.twitter.util.logging.Logging +import javax.inject.Inject +import javax.inject.Singleton + +class SgsRelationshipsByUserIdPredicate( + socialGraph: SocialGraph, + relationshipMappings: Seq[RelationshipMapping], + statsReceiver: StatsReceiver) + extends Predicate[(Option[Long], CandidateUser)] + with Logging { + private val InvalidFromPrimaryCandidateSourceName = "invalid_from_primary_candidate_source" + private val InvalidFromCandidateSourceName = "invalid_from_candidate_source" + private val NoPrimaryCandidateSource = "no_primary_candidate_source" + + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getName) + + override def apply( + pair: (Option[Long], CandidateUser) + ): Stitch[PredicateResult] = { + val (idOpt, candidate) = pair + val relationships = relationshipMappings.map { relationshipMapping: RelationshipMapping => + Relationship( + relationshipMapping.relationshipType, + relationshipMapping.includeBasedOnRelationship) + } + idOpt + .map { id: Long => + val existsRequest = ExistsRequest( + id, + candidate.id, + relationships = relationships, + context = SgsRelationshipsByUserIdPredicate.UnionLookupContext + ) + socialGraph + .exists(existsRequest).map { existsResult: ExistsResult => + if (existsResult.exists) { + candidate.getPrimaryCandidateSource match { + case Some(candidateSource) => + stats + .scope(InvalidFromPrimaryCandidateSourceName).counter( + candidateSource.name).incr() + case None => + stats + .scope(InvalidFromPrimaryCandidateSourceName).counter( + NoPrimaryCandidateSource).incr() + } + candidate.getCandidateSources.foreach({ + case (candidateSource, _) => + stats + .scope(InvalidFromCandidateSourceName).counter(candidateSource.name).incr() + }) + PredicateResult.Invalid(Set(InvalidRelationshipTypes(relationshipMappings + .map { relationshipMapping: RelationshipMapping => + relationshipMapping.relationshipType + }.mkString(", ")))) + } else { + PredicateResult.Valid + } + } + } + // if no user id is present, return true by default + .getOrElse(Stitch.value(PredicateResult.Valid)) + } +} + +object SgsRelationshipsByUserIdPredicate { + // OR Operation + @VisibleForTesting + private[follow_recommendations] val UnionLookupContext = Some( + LookupContext(performUnion = Some(true))) +} + +@Singleton +class ExcludeNonFollowersSgsPredicate @Inject() ( + socialGraph: SocialGraph, + statsReceiver: StatsReceiver) + extends SgsRelationshipsByUserIdPredicate( + socialGraph, + Seq(RelationshipMapping(RelationshipType.FollowedBy, includeBasedOnRelationship = false)), + statsReceiver) + +@Singleton +class ExcludeNonFollowingSgsPredicate @Inject() ( + socialGraph: SocialGraph, + statsReceiver: StatsReceiver) + extends SgsRelationshipsByUserIdPredicate( + socialGraph, + Seq(RelationshipMapping(RelationshipType.Following, includeBasedOnRelationship = false)), + statsReceiver) + +@Singleton +class ExcludeFollowingSgsPredicate @Inject() ( + socialGraph: SocialGraph, + statsReceiver: StatsReceiver) + extends SgsRelationshipsByUserIdPredicate( + socialGraph, + Seq(RelationshipMapping(RelationshipType.Following, includeBasedOnRelationship = true)), + statsReceiver) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsRelationshipsPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsRelationshipsPredicate.scala new file mode 100644 index 000000000..fdb88ad58 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs/SgsRelationshipsPredicate.scala @@ -0,0 +1,146 @@ +package com.twitter.follow_recommendations.common.predicates.sgs + +import com.google.common.annotations.VisibleForTesting +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasProfileId +import com.twitter.follow_recommendations.common.models.FilterReason.FailOpen +import com.twitter.follow_recommendations.common.models.FilterReason.InvalidRelationshipTypes +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.socialgraph.thriftscala.ExistsRequest +import com.twitter.socialgraph.thriftscala.ExistsResult +import com.twitter.socialgraph.thriftscala.LookupContext +import com.twitter.socialgraph.thriftscala.Relationship +import com.twitter.socialgraph.thriftscala.RelationshipType +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.SocialGraph +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.TimeoutException +import com.twitter.util.logging.Logging + +import javax.inject.Inject +import javax.inject.Singleton + +case class RelationshipMapping( + relationshipType: RelationshipType, + includeBasedOnRelationship: Boolean) + +class SgsRelationshipsPredicate( + socialGraph: SocialGraph, + relationshipMappings: Seq[RelationshipMapping], + statsReceiver: StatsReceiver = NullStatsReceiver) + extends Predicate[(HasClientContext with HasParams, CandidateUser)] + with Logging { + + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getSimpleName) + + override def apply( + pair: (HasClientContext with HasParams, CandidateUser) + ): Stitch[PredicateResult] = { + val (target, candidate) = pair + val timeout = target.params(SgsPredicateParams.SgsRelationshipsPredicateTimeout) + SgsRelationshipsPredicate + .extractUserId(target) + .map { id => + val relationships = relationshipMappings.map { relationshipMapping: RelationshipMapping => + Relationship( + relationshipMapping.relationshipType, + relationshipMapping.includeBasedOnRelationship) + } + val existsRequest = ExistsRequest( + id, + candidate.id, + relationships = relationships, + context = SgsRelationshipsPredicate.UnionLookupContext + ) + socialGraph + .exists(existsRequest).map { existsResult: ExistsResult => + if (existsResult.exists) { + PredicateResult.Invalid(Set(InvalidRelationshipTypes(relationshipMappings + .map { relationshipMapping: RelationshipMapping => + relationshipMapping.relationshipType + }.mkString(", ")))) + } else { + PredicateResult.Valid + } + } + .within(timeout)(com.twitter.finagle.util.DefaultTimer) + } + // if no user id is present, return true by default + .getOrElse(Stitch.value(PredicateResult.Valid)) + .rescue { + case e: TimeoutException => + stats.counter("timeout").incr() + Stitch(PredicateResult.Invalid(Set(FailOpen))) + case e: Exception => + stats.counter(e.getClass.getSimpleName).incr() + Stitch(PredicateResult.Invalid(Set(FailOpen))) + } + + } +} + +object SgsRelationshipsPredicate { + // OR Operation + @VisibleForTesting + private[follow_recommendations] val UnionLookupContext = Some( + LookupContext(performUnion = Some(true))) + + private def extractUserId(target: HasClientContext with HasParams): Option[Long] = target match { + case profRequest: HasProfileId => Some(profRequest.profileId) + case userRequest: HasClientContext with HasParams => userRequest.getOptionalUserId + case _ => None + } +} + +@Singleton +class InvalidTargetCandidateRelationshipTypesPredicate @Inject() ( + socialGraph: SocialGraph) + extends SgsRelationshipsPredicate( + socialGraph, + InvalidRelationshipTypesPredicate.InvalidRelationshipTypes) {} + +@Singleton +class NoteworthyAccountsSgsPredicate @Inject() ( + socialGraph: SocialGraph) + extends SgsRelationshipsPredicate( + socialGraph, + InvalidRelationshipTypesPredicate.NoteworthyAccountsInvalidRelationshipTypes) + +object InvalidRelationshipTypesPredicate { + + val InvalidRelationshipTypesExcludeFollowing: Seq[RelationshipMapping] = Seq( + RelationshipMapping(RelationshipType.HideRecommendations, true), + RelationshipMapping(RelationshipType.Blocking, true), + RelationshipMapping(RelationshipType.BlockedBy, true), + RelationshipMapping(RelationshipType.Muting, true), + RelationshipMapping(RelationshipType.MutedBy, true), + RelationshipMapping(RelationshipType.ReportedAsSpam, true), + RelationshipMapping(RelationshipType.ReportedAsSpamBy, true), + RelationshipMapping(RelationshipType.ReportedAsAbuse, true), + RelationshipMapping(RelationshipType.ReportedAsAbuseBy, true) + ) + + val InvalidRelationshipTypes: Seq[RelationshipMapping] = Seq( + RelationshipMapping(RelationshipType.FollowRequestOutgoing, true), + RelationshipMapping(RelationshipType.Following, true), + RelationshipMapping( + RelationshipType.UsedToFollow, + true + ) // this data is accessible for 90 days. + ) ++ InvalidRelationshipTypesExcludeFollowing + + val NoteworthyAccountsInvalidRelationshipTypes: Seq[RelationshipMapping] = Seq( + RelationshipMapping(RelationshipType.Blocking, true), + RelationshipMapping(RelationshipType.BlockedBy, true), + RelationshipMapping(RelationshipType.Muting, true), + RelationshipMapping(RelationshipType.MutedBy, true), + RelationshipMapping(RelationshipType.ReportedAsSpam, true), + RelationshipMapping(RelationshipType.ReportedAsSpamBy, true), + RelationshipMapping(RelationshipType.ReportedAsAbuse, true), + RelationshipMapping(RelationshipType.ReportedAsAbuseBy, true) + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/BUILD new file mode 100644 index 000000000..fe3df2d8b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/BUILD @@ -0,0 +1,20 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "strato/config/columns/onboarding:onboarding-strato-client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/UserActivityPredicate.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/UserActivityPredicate.scala new file mode 100644 index 000000000..e0fd6b42c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/UserActivityPredicate.scala @@ -0,0 +1,161 @@ +package com.twitter.follow_recommendations.common.predicates.user_activity + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.decider.Decider +import com.twitter.decider.RandomRecipient +import com.twitter.finagle.Memcached.Client +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.PredicateResult +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.clients.cache.MemcacheClient +import com.twitter.follow_recommendations.common.clients.cache.ThriftEnumOptionBijection +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.follow_recommendations.configapi.deciders.DeciderKey +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.UserRecommendabilityWithLongKeysOnUserClientColumn +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +abstract case class UserStateActivityPredicate( + userRecommendabilityClient: UserRecommendabilityWithLongKeysOnUserClientColumn, + validCandidateStates: Set[UserState], + client: Client, + statsReceiver: StatsReceiver, + decider: Decider = Decider.False) + extends Predicate[(HasParams with HasClientContext, CandidateUser)] { + + private val stats: StatsReceiver = statsReceiver.scope(this.getClass.getSimpleName) + + // client to memcache cluster + val bijection = new ThriftEnumOptionBijection[UserState](UserState.apply) + val memcacheClient = MemcacheClient[Option[UserState]]( + client = client, + dest = "/s/cache/follow_recos_service:twemcaches", + valueBijection = bijection, + ttl = UserActivityPredicateParams.CacheTTL, + statsReceiver = stats.scope("twemcache") + ) + + override def apply( + targetAndCandidate: (HasParams with HasClientContext, CandidateUser) + ): Stitch[PredicateResult] = { + val userRecommendabilityFetcher = userRecommendabilityClient.fetcher + val (_, candidate) = targetAndCandidate + + val deciderKey: String = DeciderKey.EnableExperimentalCaching.toString + val enableDistributedCaching: Boolean = decider.isAvailable(deciderKey, Some(RandomRecipient)) + val userStateStitch: Stitch[Option[UserState]] = + enableDistributedCaching match { + case true => { + memcacheClient.readThrough( + // add a key prefix to address cache key collisions + key = "UserActivityPredicate" + candidate.id.toString, + underlyingCall = () => queryUserRecommendable(candidate.id) + ) + } + case false => queryUserRecommendable(candidate.id) + } + val resultStitch: Stitch[PredicateResult] = + userStateStitch.map { userStateOpt => + userStateOpt match { + case Some(userState) => { + if (validCandidateStates.contains(userState)) { + PredicateResult.Valid + } else { + PredicateResult.Invalid(Set(FilterReason.MinStateNotMet)) + } + } + case None => { + PredicateResult.Invalid(Set(FilterReason.MissingRecommendabilityData)) + } + } + } + + StatsUtil.profileStitch(resultStitch, stats.scope("apply")) + .rescue { + case e: Exception => + stats.scope("rescued").counter(e.getClass.getSimpleName).incr() + Stitch(PredicateResult.Invalid(Set(FilterReason.FailOpen))) + } + } + + def queryUserRecommendable( + userId: Long + ): Stitch[Option[UserState]] = { + val userRecommendabilityFetcher = userRecommendabilityClient.fetcher + userRecommendabilityFetcher.fetch(userId).map { userCandidate => + userCandidate.v.flatMap(_.userState) + } + } +} + +@Singleton +class MinStateUserActivityPredicate @Inject() ( + userRecommendabilityClient: UserRecommendabilityWithLongKeysOnUserClientColumn, + client: Client, + statsReceiver: StatsReceiver) + extends UserStateActivityPredicate( + userRecommendabilityClient, + Set( + UserState.Light, + UserState.HeavyNonTweeter, + UserState.MediumNonTweeter, + UserState.HeavyTweeter, + UserState.MediumTweeter + ), + client, + statsReceiver + ) + +@Singleton +class AllTweeterUserActivityPredicate @Inject() ( + userRecommendabilityClient: UserRecommendabilityWithLongKeysOnUserClientColumn, + client: Client, + statsReceiver: StatsReceiver) + extends UserStateActivityPredicate( + userRecommendabilityClient, + Set( + UserState.HeavyTweeter, + UserState.MediumTweeter + ), + client, + statsReceiver + ) + +@Singleton +class HeavyTweeterUserActivityPredicate @Inject() ( + userRecommendabilityClient: UserRecommendabilityWithLongKeysOnUserClientColumn, + client: Client, + statsReceiver: StatsReceiver) + extends UserStateActivityPredicate( + userRecommendabilityClient, + Set( + UserState.HeavyTweeter + ), + client, + statsReceiver + ) + +@Singleton +class NonNearZeroUserActivityPredicate @Inject() ( + userRecommendabilityClient: UserRecommendabilityWithLongKeysOnUserClientColumn, + client: Client, + statsReceiver: StatsReceiver) + extends UserStateActivityPredicate( + userRecommendabilityClient, + Set( + UserState.New, + UserState.VeryLight, + UserState.Light, + UserState.MediumNonTweeter, + UserState.MediumTweeter, + UserState.HeavyNonTweeter, + UserState.HeavyTweeter + ), + client, + statsReceiver + ) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/UserActivityPredicateParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/UserActivityPredicateParams.scala new file mode 100644 index 000000000..57e8d958b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity/UserActivityPredicateParams.scala @@ -0,0 +1,10 @@ +package com.twitter.follow_recommendations.common.predicates.user_activity + +import com.twitter.timelines.configapi.FSParam +import com.twitter.util.Duration + +object UserActivityPredicateParams { + case object HeavyTweeterEnabled + extends FSParam[Boolean]("user_activity_predicate_heavy_tweeter_enabled", false) + val CacheTTL: Duration = Duration.fromHours(6) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/AdhocScoreModificationType.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/AdhocScoreModificationType.scala new file mode 100644 index 000000000..23ccd6f4f --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/AdhocScoreModificationType.scala @@ -0,0 +1,20 @@ +package com.twitter.follow_recommendations.common.rankers.common + +/** + * To manage the extent of adhoc score modifications, we set a hard limit that from each of the + * types below *ONLY ONE* adhoc scorer can be applied to candidates' scores. More details about the + * usage is available in [[AdhocRanker]] + */ + +object AdhocScoreModificationType extends Enumeration { + type AdhocScoreModificationType = Value + + // This type of scorer increases the score of a subset of candidates through various policies. + val BoostingScorer: AdhocScoreModificationType = Value("boosting") + + // This type of scorer shuffles candidates randomly according to some distribution. + val WeightedRandomSamplingScorer: AdhocScoreModificationType = Value("weighted_random_sampling") + + // This is added solely for testing purposes and should not be used in production. + val InvalidAdhocScorer: AdhocScoreModificationType = Value("invalid_adhoc_scorer") +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/BUILD new file mode 100644 index 000000000..77d496dcf --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/BUILD @@ -0,0 +1,10 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/org/slf4j:slf4j-api", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/DedupCandidates.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/DedupCandidates.scala new file mode 100644 index 000000000..bbbde2b58 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/DedupCandidates.scala @@ -0,0 +1,11 @@ +package com.twitter.follow_recommendations.common.rankers.common + +import com.twitter.product_mixer.core.model.common.UniversalNoun +import scala.collection.mutable + +object DedupCandidates { + def apply[C <: UniversalNoun[Long]](input: Seq[C]): Seq[C] = { + val seen = mutable.HashSet[Long]() + input.filter { candidate => seen.add(candidate.id) } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/RankerId.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/RankerId.scala new file mode 100644 index 000000000..f6fdb905a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common/RankerId.scala @@ -0,0 +1,27 @@ +package com.twitter.follow_recommendations.common.rankers.common + +object RankerId extends Enumeration { + type RankerId = Value + + val RandomRanker: RankerId = Value("random") + // The production PostNUX ML warm-start auto-retraining model ranker + val PostNuxProdRanker: RankerId = Value("postnux_prod") + val None: RankerId = Value("none") + + // Sampling from the Placket-Luce distribution. Applied after ranker step. Its ranker id is mainly used for logging. + val PlacketLuceSamplingTransformer: RankerId = Value("placket_luce_sampling_transformer") + + def getRankerByName(name: String): Option[RankerId] = + RankerId.values.toSeq.find(_.equals(Value(name))) + +} + +/** + * ML model based heavy ranker ids. + */ +object ModelBasedHeavyRankerId { + import RankerId._ + val HeavyRankerIds: Set[String] = Set( + PostNuxProdRanker.toString, + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/BUILD new file mode 100644 index 000000000..2fce8d77a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/BUILD @@ -0,0 +1,13 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRanker.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRanker.scala new file mode 100644 index 000000000..18ac0436b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRanker.scala @@ -0,0 +1,141 @@ +package com.twitter.follow_recommendations.common.rankers.fatigue_ranker + +import com.twitter.finagle.stats.Counter +import com.twitter.finagle.stats.Stat +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Ranker +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasWtfImpressions +import com.twitter.follow_recommendations.common.models.WtfImpression +import com.twitter.follow_recommendations.common.rankers.common.RankerId.RankerId +import com.twitter.follow_recommendations.common.rankers.utils.Utils +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.servo.util.MemoizingStatsReceiver +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Time + +/** + * Ranks candidates based on the given weights for each algorithm while preserving the ranks inside each algorithm. + * Reorders the ranked list based on recent impressions from recentImpressionRepo + * + * Note that the penalty is added to the rank of each candidate. To make producer-side experiments + * with multiple rankers possible, we modify the scores for each candidate and ranker as: + * NewScore(C, R) = -(Rank(C, R) + Impression(C, U) x FatigueFactor), + * where C is a candidate, R a ranker and U the target user. + * Note also that fatigue penalty is independent of any of the rankers. + */ +class ImpressionBasedFatigueRanker[ + Target <: HasClientContext with HasDisplayLocation with HasParams with HasWtfImpressions +]( + fatigueFactor: Int, + statsReceiver: StatsReceiver) + extends Ranker[Target, CandidateUser] { + + val name: String = this.getClass.getSimpleName + val stats = statsReceiver.scope("impression_based_fatigue_ranker") + val droppedStats: MemoizingStatsReceiver = new MemoizingStatsReceiver(stats.scope("hard_drops")) + val impressionStats: StatsReceiver = stats.scope("wtf_impressions") + val noImpressionCounter: Counter = impressionStats.counter("no_impressions") + val oldestImpressionStat: Stat = impressionStats.stat("oldest_sec") + + override def rank(target: Target, candidates: Seq[CandidateUser]): Stitch[Seq[CandidateUser]] = { + StatsUtil.profileStitch( + Stitch.value(rankCandidates(target, candidates)), + stats.scope("rank") + ) + } + + private def trackTimeSinceOldestImpression(impressions: Seq[WtfImpression]): Unit = { + val timeSinceOldest = Time.now - impressions.map(_.latestTime).min + oldestImpressionStat.add(timeSinceOldest.inSeconds) + } + + private def rankCandidates( + target: Target, + candidates: Seq[CandidateUser] + ): Seq[CandidateUser] = { + target.wtfImpressions + .map { wtfImpressions => + if (wtfImpressions.isEmpty) { + noImpressionCounter.incr() + candidates + } else { + val rankerIds = + candidates.flatMap(_.scores.map(_.scores.flatMap(_.rankerId))).flatten.sorted.distinct + + /** + * In below we create a Map from each CandidateUser's ID to a Map from each Ranker that + * the user has a score for, and candidate's corresponding rank when candidates are sorted + * by that Ranker (Only candidates who have this Ranker are considered for ranking). + */ + val candidateRanks: Map[Long, Map[RankerId, Int]] = rankerIds + .flatMap { rankerId => + // Candidates with no scores from this Ranker is first removed to calculate ranks. + val relatedCandidates = + candidates.filter(_.scores.exists(_.scores.exists(_.rankerId.contains(rankerId)))) + relatedCandidates + .sortBy(-_.scores + .flatMap(_.scores.find(_.rankerId.contains(rankerId)).map(_.value)).getOrElse( + 0.0)).zipWithIndex.map { + case (candidate, rank) => (candidate.id, rankerId, rank) + } + }.groupBy(_._1).map { + case (candidate, ranksForAllRankers) => + ( + candidate, + ranksForAllRankers.map { case (_, rankerId, rank) => (rankerId, rank) }.toMap) + } + + val idFatigueCountMap = + wtfImpressions.groupBy(_.candidateId).mapValues(_.map(_.counts).sum) + trackTimeSinceOldestImpression(wtfImpressions) + val rankedCandidates: Seq[CandidateUser] = candidates + .map { candidate => + val candidateImpressions = idFatigueCountMap.getOrElse(candidate.id, 0) + val fatiguedScores = candidate.scores.map { ss => + ss.copy(scores = ss.scores.map { s => + s.rankerId match { + // We set the new score as -rank after fatigue penalty is applied. + case Some(rankerId) => + // If the candidate's ID is not in the candidate->ranks map, or there is no + // rank for this specific ranker and this candidate, we use maximum possible + // rank instead. Note that this indicates that there is a problem. + s.copy(value = -(candidateRanks + .getOrElse(candidate.id, Map()).getOrElse(rankerId, candidates.length) + + candidateImpressions * fatigueFactor)) + // In case a score exists without a RankerId, we pass on the score as is. + case None => s + } + }) + } + candidate.copy(scores = fatiguedScores) + }.zipWithIndex.map { + // We re-rank candidates with their input ordering (which is done by the request-level + // ranker) and fatigue penalty. + case (candidate, inputRank) => + val candidateImpressions = idFatigueCountMap.getOrElse(candidate.id, 0) + (candidate, inputRank + candidateImpressions * fatigueFactor) + }.sortBy(_._2).map(_._1) + // Only populate ranking info when WTF impression info present + val scribeRankingInfo: Boolean = + target.params(ImpressionBasedFatigueRankerParams.ScribeRankingInfoInFatigueRanker) + if (scribeRankingInfo) Utils.addRankingInfo(rankedCandidates, name) else rankedCandidates + } + }.getOrElse(candidates) // no reranking/filtering when wtf impressions not present + } +} + +object ImpressionBasedFatigueRanker { + val DefaultFatigueFactor = 5 + + def build[ + Target <: HasClientContext with HasDisplayLocation with HasParams with HasWtfImpressions + ]( + baseStatsReceiver: StatsReceiver, + fatigueFactor: Int = DefaultFatigueFactor + ): ImpressionBasedFatigueRanker[Target] = + new ImpressionBasedFatigueRanker(fatigueFactor, baseStatsReceiver) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRankerFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRankerFSConfig.scala new file mode 100644 index 000000000..34fbbeb46 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRankerFSConfig.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.rankers.fatigue_ranker + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ImpressionBasedFatigueRankerFSConfig @Inject() extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean]] = + Seq(ImpressionBasedFatigueRankerParams.ScribeRankingInfoInFatigueRanker) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRankerParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRankerParams.scala new file mode 100644 index 000000000..075d78bf6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker/ImpressionBasedFatigueRankerParams.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.common.rankers.fatigue_ranker + +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param + +object ImpressionBasedFatigueRankerParams { + // Whether to enable hard dropping of impressed candidates + object DropImpressedCandidateEnabled extends Param[Boolean](false) + // At what # of impressions to hard drop candidates. + object DropCandidateImpressionThreshold extends Param[Int](default = 10) + // Whether to scribe candidate ranking/scoring info per ranking stage + object ScribeRankingInfoInFatigueRanker + extends FSParam[Boolean]("fatigue_ranker_scribe_ranking_info", true) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/BUILD new file mode 100644 index 000000000..3de5523b1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/BUILD @@ -0,0 +1,20 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRanker.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRanker.scala new file mode 100644 index 000000000..8fbeafa25 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRanker.scala @@ -0,0 +1,115 @@ +package com.twitter.follow_recommendations.common.rankers.first_n_ranker + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Ranker +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasQualityFactor +import com.twitter.follow_recommendations.common.rankers.utils.Utils +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +/** + * This class is meant to filter candidates between stages of our ranker by taking the first N + * candidates, merging any candidate source information for candidates with multiple entries. + * To allow us to chain this truncation operation any number of times sequentially within the main + * ranking builder, we abstract the truncation as a separate Ranker + */ +@Singleton +class FirstNRanker[Target <: HasClientContext with HasParams with HasQualityFactor] @Inject() ( + stats: StatsReceiver) + extends Ranker[Target, CandidateUser] { + + val name: String = this.getClass.getSimpleName + private val baseStats = stats.scope("first_n_ranker") + val scaledDownByQualityFactorCounter = + baseStats.counter("scaled_down_by_quality_factor") + private val mergeStat = baseStats.scope("merged_candidates") + private val mergeStat2 = mergeStat.counter("2") + private val mergeStat3 = mergeStat.counter("3") + private val mergeStat4 = mergeStat.counter("4+") + private val candidateSizeStats = baseStats.scope("candidate_size") + + private case class CandidateSourceScore( + candidateId: Long, + sourceId: CandidateSourceIdentifier, + score: Option[Double]) + + /** + * Adds the rank of each candidate based on the primary candidate source's score. + * In the event where the provided ordering of candidates do not align with the score, + * we will respect the score, since the ordering might have been mixed up due to other previous + * steps like the shuffleFn in the `WeightedCandidateSourceRanker`. + * @param candidates ordered list of candidates + * @return same ordered list of candidates, but with the rank information appended + */ + def addRank(candidates: Seq[CandidateUser]): Seq[CandidateUser] = { + val candidateSourceRanks = for { + (sourceIdOpt, sourceCandidates) <- candidates.groupBy(_.getPrimaryCandidateSource) + (candidate, rank) <- sourceCandidates.sortBy(-_.score.getOrElse(0.0)).zipWithIndex + } yield { + (candidate, sourceIdOpt) -> rank + } + candidates.map { c => + c.getPrimaryCandidateSource + .map { sourceId => + val sourceRank = candidateSourceRanks((c, c.getPrimaryCandidateSource)) + c.addCandidateSourceRanksMap(Map(sourceId -> sourceRank)) + }.getOrElse(c) + } + } + + override def rank(target: Target, candidates: Seq[CandidateUser]): Stitch[Seq[CandidateUser]] = { + + val scaleDownFactor = Math.max( + target.qualityFactor.getOrElse(1.0d), + target.params(FirstNRankerParams.MinNumCandidatesScoredScaleDownFactor) + ) + + if (scaleDownFactor < 1.0d) + scaledDownByQualityFactorCounter.incr() + + val n = (target.params(FirstNRankerParams.CandidatesToRank) * scaleDownFactor).toInt + val scribeRankingInfo: Boolean = + target.params(FirstNRankerParams.ScribeRankingInfoInFirstNRanker) + candidateSizeStats.counter(s"n$n").incr() + val candidatesWithRank = addRank(candidates) + if (target.params(FirstNRankerParams.GroupDuplicateCandidates)) { + val groupedCandidates: Map[Long, Seq[CandidateUser]] = candidatesWithRank.groupBy(_.id) + val topN = candidates + .map { c => + merge(groupedCandidates(c.id)) + }.distinct.take(n) + Stitch.value(if (scribeRankingInfo) Utils.addRankingInfo(topN, name) else topN) + } else { + Stitch.value( + if (scribeRankingInfo) Utils.addRankingInfo(candidatesWithRank, name).take(n) + else candidatesWithRank.take(n)) + } // for efficiency, if don't need to deduplicate + } + + /** + * we use the primary candidate source of the first entry, and aggregate all of the other entries' + * candidate source scores into the first entry's candidateSourceScores + * @param candidates list of candidates with the same id + * @return a single merged candidate + */ + private[first_n_ranker] def merge(candidates: Seq[CandidateUser]): CandidateUser = { + if (candidates.size == 1) { + candidates.head + } else { + candidates.size match { + case 2 => mergeStat2.incr() + case 3 => mergeStat3.incr() + case i if i >= 4 => mergeStat4.incr() + case _ => + } + val allSources = candidates.flatMap(_.getCandidateSources).toMap + val allRanks = candidates.flatMap(_.getCandidateRanks).toMap + candidates.head.addCandidateSourceScoresMap(allSources).addCandidateSourceRanksMap(allRanks) + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerFSConfig.scala new file mode 100644 index 000000000..484738dc1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerFSConfig.scala @@ -0,0 +1,21 @@ +package com.twitter.follow_recommendations.common.rankers.first_n_ranker + +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +@Singleton +class FirstNRankerFSConfig @Inject() extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean]] = + Seq(FirstNRankerParams.ScribeRankingInfoInFirstNRanker) + + override val intFSParams: Seq[FSBoundedParam[Int]] = Seq( + FirstNRankerParams.CandidatesToRank + ) + + override val doubleFSParams: Seq[FSBoundedParam[Double]] = Seq( + FirstNRankerParams.MinNumCandidatesScoredScaleDownFactor + ) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerFeatureSwitchKeys.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerFeatureSwitchKeys.scala new file mode 100644 index 000000000..682b60fed --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerFeatureSwitchKeys.scala @@ -0,0 +1,8 @@ +package com.twitter.follow_recommendations.common.rankers.first_n_ranker + +object FirstNRankerFeatureSwitchKeys { + val CandidatePoolSize = "first_n_ranker_candidate_pool_size" + val ScribeRankingInfo = "first_n_ranker_scribe_ranking_info" + val MinNumCandidatesScoredScaleDownFactor = + "first_n_ranker_min_scale_down_factor" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerParams.scala new file mode 100644 index 000000000..ac65a6dde --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker/FirstNRankerParams.scala @@ -0,0 +1,26 @@ +package com.twitter.follow_recommendations.common.rankers.first_n_ranker + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param + +object FirstNRankerParams { + case object CandidatesToRank + extends FSBoundedParam[Int]( + FirstNRankerFeatureSwitchKeys.CandidatePoolSize, + default = 100, + min = 50, + max = 600) + + case object GroupDuplicateCandidates extends Param[Boolean](true) + case object ScribeRankingInfoInFirstNRanker + extends FSParam[Boolean](FirstNRankerFeatureSwitchKeys.ScribeRankingInfo, true) + + // the minimum of candidates to score in each request. + object MinNumCandidatesScoredScaleDownFactor + extends FSBoundedParam[Double]( + name = FirstNRankerFeatureSwitchKeys.MinNumCandidatesScoredScaleDownFactor, + default = 0.3, + min = 0.1, + max = 1.0) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/BUILD new file mode 100644 index 000000000..e71d8a7ab --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/BUILD @@ -0,0 +1,21 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRanker.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRanker.scala new file mode 100644 index 000000000..973275f51 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRanker.scala @@ -0,0 +1,204 @@ +package com.twitter.follow_recommendations.common.rankers.interleave_ranker + +import com.google.common.annotations.VisibleForTesting +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Ranker +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.follow_recommendations.common.rankers.utils.Utils +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +@Singleton +class InterleaveRanker[Target <: HasParams] @Inject() ( + statsReceiver: StatsReceiver) + extends Ranker[Target, CandidateUser] { + + val name: String = this.getClass.getSimpleName + private val stats = statsReceiver.scope("interleave_ranker") + private val inputStats = stats.scope("input") + private val interleavingStats = stats.scope("interleave") + + override def rank( + target: Target, + candidates: Seq[CandidateUser] + ): Stitch[Seq[CandidateUser]] = { + StatsUtil.profileStitch( + Stitch.value(rankCandidates(target, candidates)), + stats.scope("rank") + ) + } + + private def rankCandidates( + target: Target, + candidates: Seq[CandidateUser] + ): Seq[CandidateUser] = { + + /** + * By this stage, all valid candidates should have: + * 1. Their Scores field populated. + * 2. Their selectedRankerId set. + * 3. Have a score associated to their selectedRankerId. + * If there is any candidate that doesn't meet the conditions above, there is a problem in one + * of the previous rankers. Since no new scoring is done in this ranker, we simply remove them. + */ + val validCandidates = + candidates.filter { c => + c.scores.isDefined && + c.scores.exists(_.selectedRankerId.isDefined) && + getCandidateScoreByRankerId(c, c.scores.flatMap(_.selectedRankerId)).isDefined + } + + // To monitor the percentage of valid candidates, as defined above, we track the following: + inputStats.counter("candidates_with_no_scores").incr(candidates.count(_.scores.isEmpty)) + inputStats + .counter("candidates_with_no_selected_ranker").incr(candidates.count { c => + c.scores.isEmpty || c.scores.exists(_.selectedRankerId.isEmpty) + }) + inputStats + .counter("candidates_with_no_score_for_selected_ranker").incr(candidates.count { c => + c.scores.isEmpty || + c.scores.exists(_.selectedRankerId.isEmpty) || + getCandidateScoreByRankerId(c, c.scores.flatMap(_.selectedRankerId)).isEmpty + }) + inputStats.counter("total_num_candidates").incr(candidates.length) + inputStats.counter("total_valid_candidates").incr(validCandidates.length) + + // We only count rankerIds from those candidates who are valid to exclude those candidates with + // a valid selectedRankerId that don't have an associated score for it. + val rankerIds = validCandidates.flatMap(_.scores.flatMap(_.selectedRankerId)).sorted.distinct + rankerIds.foreach { rankerId => + inputStats + .counter(s"valid_scores_for_${rankerId.toString}").incr( + candidates.count(getCandidateScoreByRankerId(_, Some(rankerId)).isDefined)) + inputStats.counter(s"total_candidates_for_${rankerId.toString}").incr(candidates.length) + } + inputStats.counter(s"num_ranker_ids=${rankerIds.length}").incr() + val scribeRankingInfo: Boolean = + target.params(InterleaveRankerParams.ScribeRankingInfoInInterleaveRanker) + if (rankerIds.length <= 1) + // In the case of "Number of RankerIds = 0", we pass on the candidates even though there is + // a problem in a previous ranker that provided the scores. + if (scribeRankingInfo) Utils.addRankingInfo(candidates, name) else candidates + else + if (scribeRankingInfo) + Utils.addRankingInfo(interleaveCandidates(validCandidates, rankerIds), name) + else interleaveCandidates(validCandidates, rankerIds) + } + + @VisibleForTesting + private[interleave_ranker] def interleaveCandidates( + candidates: Seq[CandidateUser], + rankerIds: Seq[RankerId.RankerId] + ): Seq[CandidateUser] = { + val candidatesWithRank = rankerIds + .flatMap { ranker => + candidates + // We first sort all candidates using this ranker. + .sortBy(-getCandidateScoreByRankerId(_, Some(ranker)).getOrElse(Double.MinValue)) + .zipWithIndex.filter( + // but only hold those candidates whose selected ranker is this ranker. + // These ranks will be forced in the final ordering. + _._1.scores.flatMap(_.selectedRankerId).contains(ranker)) + } + + // Only candidates who have isInProducerScoringExperiment set to true will have their position enforced. We + // separate candidates into two groups: (1) Production and (2) Experiment. + val (expCandidates, prodCandidates) = + candidatesWithRank.partition(_._1.scores.exists(_.isInProducerScoringExperiment)) + + // We resolve (potential) conflicts between the enforced ranks of experimental models. + val expCandidatesFinalPos = resolveConflicts(expCandidates) + + // Retrieve non-occupied positions and assign them to candidates who use production ranker. + val occupiedPos = expCandidatesFinalPos.map(_._2).toSet + val prodCandidatesFinalPos = + prodCandidates + .map(_._1).zip( + candidates.indices.filterNot(occupiedPos.contains).sorted.take(prodCandidates.length)) + + // Merge the two groups and sort them by their corresponding positions. + val finalCandidates = (prodCandidatesFinalPos ++ expCandidatesFinalPos).sortBy(_._2).map(_._1) + + // We count the presence of each ranker in the top-3 final positions. + finalCandidates.zip(0 until 3).foreach { + case (c, r) => + // We only do so for candidates that are in a producer-side experiment. + if (c.scores.exists(_.isInProducerScoringExperiment)) + c.scores.flatMap(_.selectedRankerId).map(_.toString).foreach { rankerName => + interleavingStats + .counter(s"num_final_position_${r}_$rankerName") + .incr() + } + } + + finalCandidates + } + + @VisibleForTesting + private[interleave_ranker] def resolveConflicts( + candidatesWithRank: Seq[(CandidateUser, Int)] + ): Seq[(CandidateUser, Int)] = { + // The following two metrics will allow us to calculate the rate of conflicts occurring. + // Example: If overall there are 10 producers in different bucketing experiments, and 3 of them + // are assigned to the same position. The rate would be 3/10, 30%. + val numCandidatesWithConflicts = interleavingStats.counter("candidates_with_conflict") + val numCandidatesNoConflicts = interleavingStats.counter("candidates_without_conflict") + val candidatesGroupedByRank = candidatesWithRank.groupBy(_._2).toSeq.sortBy(_._1).map { + case (rank, candidatesWithRank) => (rank, candidatesWithRank.map(_._1)) + } + + candidatesGroupedByRank.foldLeft(Seq[(CandidateUser, Int)]()) { (upToHere, nextGroup) => + val (rank, candidates) = nextGroup + if (candidates.length > 1) + numCandidatesWithConflicts.incr(candidates.length) + else + numCandidatesNoConflicts.incr() + + // We use the position after the last-assigned candidate as a starting point, or 0 otherwise. + // If candidates' position is after this "starting point", we enforce that position instead. + val minAvailableIndex = scala.math.max(upToHere.lastOption.map(_._2).getOrElse(-1) + 1, rank) + val enforcedPos = + (minAvailableIndex until minAvailableIndex + candidates.length).toList + val shuffledEnforcedPos = + if (candidates.length > 1) scala.util.Random.shuffle(enforcedPos) else enforcedPos + if (shuffledEnforcedPos.length > 1) { + candidates.zip(shuffledEnforcedPos).sortBy(_._2).map(_._1).zipWithIndex.foreach { + case (c, r) => + c.scores.flatMap(_.selectedRankerId).map(_.toString).foreach { rankerName => + // For each ranker, we count the total number of times it has been in a conflict. + interleavingStats + .counter(s"num_${shuffledEnforcedPos.length}-way_conflicts_$rankerName") + .incr() + // We also count the positions each of the rankers have fallen randomly into. In any + // experiment this should converge to uniform distribution given enough occurrences. + // Note that the position here is relative to the other candidates in the conflict and + // not the overall position of each candidate. + interleavingStats + .counter( + s"num_position_${r}_after_${shuffledEnforcedPos.length}-way_conflict_$rankerName") + .incr() + } + } + } + upToHere ++ candidates.zip(shuffledEnforcedPos).sortBy(_._2) + } + } + + @VisibleForTesting + private[interleave_ranker] def getCandidateScoreByRankerId( + candidate: CandidateUser, + rankerIdOpt: Option[RankerId.RankerId] + ): Option[Double] = { + rankerIdOpt match { + case None => None + case Some(rankerId) => + candidate.scores.flatMap { + _.scores.find(_.rankerId.contains(rankerId)).map(_.value) + } + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRankerFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRankerFSConfig.scala new file mode 100644 index 000000000..5a8c6de2a --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRankerFSConfig.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.rankers.interleave_ranker + +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSParam + +@Singleton +class InterleaveRankerFSConfig @Inject() extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean]] = + Seq(InterleaveRankerParams.ScribeRankingInfoInInterleaveRanker) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRankerParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRankerParams.scala new file mode 100644 index 000000000..84e6ea314 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker/InterleaveRankerParams.scala @@ -0,0 +1,8 @@ +package com.twitter.follow_recommendations.common.rankers.interleave_ranker + +import com.twitter.timelines.configapi.FSParam + +object InterleaveRankerParams { + case object ScribeRankingInfoInInterleaveRanker + extends FSParam[Boolean]("interleave_ranker_scribe_ranking_info", true) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/BUILD new file mode 100644 index 000000000..0c277e005 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/BUILD @@ -0,0 +1,37 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "src/java/com/twitter/ml/api:api-base", + "util/util-slf4j-api/src/main/scala", + ], +) + +# This is to import only the params from MlRanker, for instance to get request-level heavy ranker. +scala_library( + name = "ml_ranker_params", + sources = [ + "MlRankerParams.scala", + ], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "timelines/src/main/scala/com/twitter/timelines/config/configapi", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/HydrateFeaturesTransform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/HydrateFeaturesTransform.scala new file mode 100644 index 000000000..499a14b67 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/HydrateFeaturesTransform.scala @@ -0,0 +1,57 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.GatedTransform +import com.twitter.follow_recommendations.common.base.StatsUtil.profileStitchMapResults +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.feature_hydration.sources.UserScoringFeatureSource +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDebugOptions +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasSimilarToContext +import com.twitter.follow_recommendations.common.models.RichDataRecord +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.logging.Logging + +/** + * Hydrate features given target and candidates lists. + * This is a required step before MlRanker. + * If a feature is not hydrated before MlRanker is triggered, a runtime exception will be thrown + */ +@Singleton +class HydrateFeaturesTransform[ + Target <: HasClientContext with HasParams with HasDebugOptions with HasPreFetchedFeature with HasSimilarToContext with HasDisplayLocation] @Inject() ( + userScoringFeatureSource: UserScoringFeatureSource, + stats: StatsReceiver) + extends GatedTransform[Target, CandidateUser] + with Logging { + + private val hydrateFeaturesStats = stats.scope("hydrate_features") + + def transform(target: Target, candidates: Seq[CandidateUser]): Stitch[Seq[CandidateUser]] = { + // get features + val featureMapStitch: Stitch[Map[CandidateUser, DataRecord]] = + profileStitchMapResults( + userScoringFeatureSource.hydrateFeatures(target, candidates), + hydrateFeaturesStats) + + featureMapStitch.map { featureMap => + candidates + .map { candidate => + val dataRecord = featureMap(candidate) + // add debugRecord only when the request parameter is set + val debugDataRecord = if (target.debugOptions.exists(_.fetchDebugInfo)) { + Some(candidate.toDebugDataRecord(dataRecord, userScoringFeatureSource.featureContext)) + } else None + candidate.copy( + dataRecord = Some(RichDataRecord(Some(dataRecord), debugDataRecord)) + ) + } + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRanker.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRanker.scala new file mode 100644 index 000000000..6344c348e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRanker.scala @@ -0,0 +1,219 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking + +import com.google.common.annotations.VisibleForTesting +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Ranker +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.base.StatsUtil.profileSeqResults +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasDebugOptions +import com.twitter.follow_recommendations.common.models.Scores +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.follow_recommendations.common.rankers.common.RankerId.RankerId +import com.twitter.follow_recommendations.common.rankers.utils.Utils +import com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring.AdhocScorer +import com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring.Scorer +import com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring.ScorerFactory +import com.twitter.follow_recommendations.common.utils.CollectionUtil +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params +import com.twitter.util.logging.Logging + +/** + * This class has a rank function that will perform 4 steps: + * - choose which scorer to use for each candidate + * - score candidates given their respective features + * - add scoring information to the candidate + * - sort candidates by their respective scores + * The feature source and scorer will depend on the request's params + */ +@Singleton +class MlRanker[ + Target <: HasClientContext with HasParams with HasDisplayLocation with HasDebugOptions] @Inject() ( + scorerFactory: ScorerFactory, + statsReceiver: StatsReceiver) + extends Ranker[Target, CandidateUser] + with Logging { + + private val stats: StatsReceiver = statsReceiver.scope("ml_ranker") + + private val inputStat = stats.scope("1_input") + private val selectScorerStat = stats.scope("2_select_scorer") + private val scoreStat = stats.scope("3_score") + + override def rank( + target: Target, + candidates: Seq[CandidateUser] + ): Stitch[Seq[CandidateUser]] = { + profileSeqResults(candidates, inputStat) + val requestRankerId = target.params(MlRankerParams.RequestScorerIdParam) + val rankerIds = chooseRankerByCandidate(candidates, requestRankerId) + + val scoreStitch = score(candidates, rankerIds, requestRankerId).map { scoredCandidates => + { + // sort the candidates by score + val sortedCandidates = sort(target, scoredCandidates) + // add scribe field to candidates (if applicable) and return candidates + scribeCandidates(target, sortedCandidates) + } + } + StatsUtil.profileStitch(scoreStitch, stats.scope("rank")) + } + + /** + * @param target: The WTF request for a given consumer. + * @param candidates A list of candidates considered for recommendation. + * @return A map from each candidate to a tuple that includes: + * (1) The selected scorer that should be used to rank this candidate + * (2) a flag determining whether the candidate is in a producer-side experiment. + */ + private[ranking] def chooseRankerByCandidate( + candidates: Seq[CandidateUser], + requestRankerId: RankerId + ): Map[CandidateUser, RankerId] = { + candidates.map { candidate => + val selectedCandidateRankerId = + if (candidate.params == Params.Invalid || candidate.params == Params.Empty) { + selectScorerStat.counter("candidate_params_empty").incr() + requestRankerId + } else { + val candidateRankerId = candidate.params(MlRankerParams.CandidateScorerIdParam) + if (candidateRankerId == RankerId.None) { + // This candidate is a not part of any producer-side experiment. + selectScorerStat.counter("default_to_request_ranker").incr() + requestRankerId + } else { + // This candidate is in a treatment bucket of a producer-side experiment. + selectScorerStat.counter("use_candidate_ranker").incr() + candidateRankerId + } + } + selectScorerStat.scope("selected").counter(selectedCandidateRankerId.toString).incr() + candidate -> selectedCandidateRankerId + }.toMap + } + + @VisibleForTesting + private[ranking] def score( + candidates: Seq[CandidateUser], + rankerIds: Map[CandidateUser, RankerId], + requestRankerId: RankerId + ): Stitch[Seq[CandidateUser]] = { + val features = candidates.map(_.dataRecord.flatMap(_.dataRecord)) + + require(features.forall(_.nonEmpty), "features are not hydrated for all the candidates") + + val scorers = scorerFactory.getScorers(rankerIds.values.toSeq.sorted.distinct) + + // Scorers are split into ML-based and Adhoc (defined as a scorer that does not need to call an + // ML prediction service and scores candidates using locally-available data). + val (adhocScorers, mlScorers) = scorers.partition { + case _: AdhocScorer => true + case _ => false + } + + // score candidates + val scoresStitch = score(features.map(_.get), mlScorers) + val candidatesWithMlScoresStitch = scoresStitch.map { scoresSeq => + candidates + .zip(scoresSeq).map { // copy datarecord and score into candidate object + case (candidate, scores) => + val selectedRankerId = rankerIds(candidate) + val useRequestRanker = + candidate.params == Params.Invalid || + candidate.params == Params.Empty || + candidate.params(MlRankerParams.CandidateScorerIdParam) == RankerId.None + candidate.copy( + score = scores.scores.find(_.rankerId.contains(requestRankerId)).map(_.value), + scores = if (scores.scores.nonEmpty) { + Some( + scores.copy( + scores = scores.scores, + selectedRankerId = Some(selectedRankerId), + isInProducerScoringExperiment = !useRequestRanker + )) + } else None + ) + } + } + + candidatesWithMlScoresStitch.map { candidates => + // The basis for adhoc scores are the "request-level" ML ranker. We add the base score here + // while adhoc scorers are applied in [[AdhocRanker]]. + addMlBaseScoresForAdhocScorers(candidates, requestRankerId, adhocScorers) + } + } + + @VisibleForTesting + private[ranking] def addMlBaseScoresForAdhocScorers( + candidates: Seq[CandidateUser], + requestRankerId: RankerId, + adhocScorers: Seq[Scorer] + ): Seq[CandidateUser] = { + candidates.map { candidate => + candidate.scores match { + case Some(oldScores) => + // 1. We fetch the ML score that is the basis of adhoc scores: + val baseMlScoreOpt = Utils.getCandidateScoreByRankerId(candidate, requestRankerId) + + // 2. For each adhoc scorer, we copy the ML score object, changing only the ID and type. + val newScores = adhocScorers flatMap { adhocScorer => + baseMlScoreOpt.map( + _.copy(rankerId = Some(adhocScorer.id), scoreType = adhocScorer.scoreType)) + } + + // 3. We add the new adhoc score entries to the candidate. + candidate.copy(scores = Some(oldScores.copy(scores = oldScores.scores ++ newScores))) + case _ => + // Since there is no base ML score, there should be no adhoc score modification as well. + candidate + } + } + } + + private[this] def score( + dataRecords: Seq[DataRecord], + scorers: Seq[Scorer] + ): Stitch[Seq[Scores]] = { + val scoredResponse = scorers.map { scorer => + StatsUtil.profileStitch(scorer.score(dataRecords), scoreStat.scope(scorer.id.toString)) + } + // If we could score a candidate with too many rankers, it is likely to blow up the whole system. + // and fail back to default production model + StatsUtil.profileStitch(Stitch.collect(scoredResponse), scoreStat).map { scoresByScorerId => + CollectionUtil.transposeLazy(scoresByScorerId).map { scoresPerCandidate => + Scores(scoresPerCandidate) + } + } + } + + // sort candidates using score in descending order + private[this] def sort( + target: Target, + candidates: Seq[CandidateUser] + ): Seq[CandidateUser] = { + candidates.sortBy(c => -c.score.getOrElse(MlRanker.DefaultScore)) + } + + private[this] def scribeCandidates( + target: Target, + candidates: Seq[CandidateUser] + ): Seq[CandidateUser] = { + val scribeRankingInfo: Boolean = target.params(MlRankerParams.ScribeRankingInfoInMlRanker) + scribeRankingInfo match { + case true => Utils.addRankingInfo(candidates, "MlRanker") + case false => candidates + } + } +} + +object MlRanker { + // this is to ensure candidates with absent scores are ranked the last + val DefaultScore: Double = Double.MinValue +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRankerFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRankerFSConfig.scala new file mode 100644 index 000000000..c69a32fc5 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRankerFSConfig.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking + +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSParam + +@Singleton +class MlRankerFSConfig @Inject() extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean]] = + Seq(MlRankerParams.ScribeRankingInfoInMlRanker) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRankerParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRankerParams.scala new file mode 100644 index 000000000..8463963a6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking/MlRankerParams.scala @@ -0,0 +1,30 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking + +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSParam + +/** + * When adding Producer side experiments, make sure to register the FS Key in [[ProducerFeatureFilter]] + * in [[FeatureSwitchesModule]], otherwise, the FS will not work. + */ +object MlRankerParams { + // which ranker to use by default for the given request + case object RequestScorerIdParam + extends FSEnumParam[RankerId.type]( + name = "post_nux_ml_flow_ml_ranker_id", + default = RankerId.PostNuxProdRanker, + enum = RankerId + ) + + // which ranker to use for the given candidate + case object CandidateScorerIdParam + extends FSEnumParam[RankerId.type]( + name = "post_nux_ml_flow_candidate_user_scorer_id", + default = RankerId.None, + enum = RankerId + ) + + case object ScribeRankingInfoInMlRanker + extends FSParam[Boolean]("post_nux_ml_flow_scribe_ranking_info_in_ml_ranker", true) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/AdhocScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/AdhocScorer.scala new file mode 100644 index 000000000..39921bb71 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/AdhocScorer.scala @@ -0,0 +1,28 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring + +import com.twitter.follow_recommendations.common.rankers.common.AdhocScoreModificationType.AdhocScoreModificationType +import com.twitter.follow_recommendations.common.models.Score +import com.twitter.ml.api.DataRecord +import com.twitter.stitch.Stitch + +trait AdhocScorer extends Scorer { + + /** + * NOTE: For instances of [[AdhocScorer]] this function SHOULD NOT be used. + * Please use: + * [[score(target: HasClientContext with HasParams, candidates: Seq[CandidateUser])]] + * instead. + */ + @Deprecated + override def score(records: Seq[DataRecord]): Stitch[Seq[Score]] = + throw new UnsupportedOperationException( + "For instances of AdhocScorer this operation is not defined. Please use " + + "`def score(target: HasClientContext with HasParams, candidates: Seq[CandidateUser])` " + + "instead.") + + /** + * This helps us manage the extend of adhoc modification on candidates' score. There is a hard + * limit of applying ONLY ONE scorer of each type to a score. + */ + val scoreModificationType: AdhocScoreModificationType +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/BUILD new file mode 100644 index 000000000..bbcd3c708 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/BUILD @@ -0,0 +1,23 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking:ml_ranker_params", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/pluck/source/core_workflows/user_model:condensed_user_state-scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/DeepbirdScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/DeepbirdScorer.scala new file mode 100644 index 000000000..d27bc6e37 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/DeepbirdScorer.scala @@ -0,0 +1,151 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring + +import com.twitter.cortex.deepbird.thriftjava.DeepbirdPredictionService +import com.twitter.cortex.deepbird.thriftjava.ModelSelector +import com.twitter.finagle.stats.Stat +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDebugOptions +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.Score +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.Feature +import com.twitter.ml.api.RichDataRecord +import com.twitter.ml.prediction_service.{BatchPredictionRequest => JBatchPredictionRequest} +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Future +import com.twitter.util.TimeoutException +import scala.collection.JavaConversions._ +import scala.collection.JavaConverters._ + +/** + * Generic trait that implements the scoring given a deepbirdClient + * To test out a new model, create a scorer extending this trait, override the modelName and inject the scorer + */ +trait DeepbirdScorer extends Scorer { + def modelName: String + def predictionFeature: Feature.Continuous + // Set a default batchSize of 100 when making model prediction calls to the Deepbird V2 prediction server + def batchSize: Int = 100 + def deepbirdClient: DeepbirdPredictionService.ServiceToClient + def baseStats: StatsReceiver + + def modelSelector: ModelSelector = new ModelSelector().setId(modelName) + def stats: StatsReceiver = baseStats.scope(this.getClass.getSimpleName).scope(modelName) + + private def requestCount = stats.counter("requests") + private def emptyRequestCount = stats.counter("empty_requests") + private def successCount = stats.counter("success") + private def failureCount = stats.counter("failures") + private def inputRecordsStat = stats.stat("input_records") + private def outputRecordsStat = stats.stat("output_records") + + // Counters for tracking batch-prediction statistics when making DBv2 prediction calls + // + // numBatchRequests tracks the number of batch prediction requests made to DBv2 prediction servers + private def numBatchRequests = stats.counter("batches") + // numEmptyBatchRequests tracks the number of batch prediction requests made to DBv2 prediction servers + // that had an empty input DataRecord + private def numEmptyBatchRequests = stats.counter("empty_batches") + // numTimedOutBatchRequests tracks the number of batch prediction requests made to DBv2 prediction servers + // that had timed-out + private def numTimedOutBatchRequests = stats.counter("timeout_batches") + + private def batchPredictionLatency = stats.stat("batch_prediction_latency") + private def predictionLatency = stats.stat("prediction_latency") + + private def numEmptyModelPredictions = stats.counter("empty_model_predictions") + private def numNonEmptyModelPredictions = stats.counter("non_empty_model_predictions") + + private val DefaultPredictionScore = 0.0 + + /** + * NOTE: For instances of [[DeepbirdScorer]] this function SHOULD NOT be used. + * Please use [[score(records: Seq[DataRecord])]] instead. + */ + @Deprecated + def score( + target: HasClientContext with HasParams with HasDisplayLocation with HasDebugOptions, + candidates: Seq[CandidateUser] + ): Seq[Option[Score]] = + throw new UnsupportedOperationException( + "For instances of DeepbirdScorer this operation is not defined. Please use " + + "`def score(records: Seq[DataRecord]): Stitch[Seq[Score]]` " + + "instead.") + + override def score(records: Seq[DataRecord]): Stitch[Seq[Score]] = { + requestCount.incr() + if (records.isEmpty) { + emptyRequestCount.incr() + Stitch.Nil + } else { + inputRecordsStat.add(records.size) + Stitch.callFuture( + batchPredict(records, batchSize) + .map { recordList => + val scores = recordList.map { record => + Score( + value = record.getOrElse(DefaultPredictionScore), + rankerId = Some(id), + scoreType = scoreType) + } + outputRecordsStat.add(scores.size) + scores + }.onSuccess(_ => successCount.incr()) + .onFailure(_ => failureCount.incr())) + } + } + + def batchPredict( + dataRecords: Seq[DataRecord], + batchSize: Int + ): Future[Seq[Option[Double]]] = { + Stat + .timeFuture(predictionLatency) { + val batchedDataRecords = dataRecords.grouped(batchSize).toSeq + numBatchRequests.incr(batchedDataRecords.size) + Future + .collect(batchedDataRecords.map(batch => predict(batch))) + .map(res => res.reduce(_ ++ _)) + } + } + + def predict(dataRecords: Seq[DataRecord]): Future[Seq[Option[Double]]] = { + Stat + .timeFuture(batchPredictionLatency) { + if (dataRecords.isEmpty) { + numEmptyBatchRequests.incr() + Future.Nil + } else { + deepbirdClient + .batchPredictFromModel(new JBatchPredictionRequest(dataRecords.asJava), modelSelector) + .map { response => + response.predictions.toSeq.map { prediction => + val predictionFeatureOption = Option( + new RichDataRecord(prediction).getFeatureValue(predictionFeature) + ) + predictionFeatureOption match { + case Some(predictionValue) => + numNonEmptyModelPredictions.incr() + Option(predictionValue.toDouble) + case None => + numEmptyModelPredictions.incr() + Option(DefaultPredictionScore) + } + } + } + .rescue { + case e: TimeoutException => // DBv2 prediction calls that timed out + numTimedOutBatchRequests.incr() + stats.counter(e.getClass.getSimpleName).incr() + Future.value(dataRecords.map(_ => Option(DefaultPredictionScore))) + case e: Exception => // other generic DBv2 prediction call failures + stats.counter(e.getClass.getSimpleName).incr() + Future.value(dataRecords.map(_ => Option(DefaultPredictionScore))) + } + } + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/PostnuxDeepbirdProdScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/PostnuxDeepbirdProdScorer.scala new file mode 100644 index 000000000..861d02fa7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/PostnuxDeepbirdProdScorer.scala @@ -0,0 +1,34 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring + +import com.twitter.cortex.deepbird.thriftjava.DeepbirdPredictionService +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.ml.api.Feature +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +// This is a standard DeepbirdV2 ML Ranker scoring config that should be extended by all ML scorers +// +// Only modify this trait when adding new fields to DeepbirdV2 scorers which +trait DeepbirdProdScorer extends DeepbirdScorer { + override val batchSize = 20 +} + +// Feature.Continuous("prediction") is specific to ClemNet architecture, we can change it to be more informative in the next iteration +trait PostNuxV1DeepbirdProdScorer extends DeepbirdProdScorer { + override val predictionFeature: Feature.Continuous = + new Feature.Continuous("prediction") +} + +// The current, primary PostNUX DeepbirdV2 scorer used in production +@Singleton +class PostnuxDeepbirdProdScorer @Inject() ( + @Named(GuiceNamedConstants.WTF_PROD_DEEPBIRDV2_CLIENT) + override val deepbirdClient: DeepbirdPredictionService.ServiceToClient, + override val baseStats: StatsReceiver) + extends PostNuxV1DeepbirdProdScorer { + override val id = RankerId.PostNuxProdRanker + override val modelName = "PostNUX14531GafClemNetWarmStart" +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/RandomScorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/RandomScorer.scala new file mode 100644 index 000000000..92265cc6b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/RandomScorer.scala @@ -0,0 +1,42 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring + +import com.twitter.cortex.deepbird.thriftjava.DeepbirdPredictionService +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.Feature +import com.twitter.util.Future +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/** + * This scorer assigns random values between 0 and 1 to each candidate as scores. + */ + +@Singleton +class RandomScorer @Inject() ( + @Named(GuiceNamedConstants.WTF_PROD_DEEPBIRDV2_CLIENT) + override val deepbirdClient: DeepbirdPredictionService.ServiceToClient, + override val baseStats: StatsReceiver) + extends DeepbirdScorer { + override val id = RankerId.RandomRanker + private val rnd = new scala.util.Random(System.currentTimeMillis()) + + override def predict(dataRecords: Seq[DataRecord]): Future[Seq[Option[Double]]] = { + if (dataRecords.isEmpty) { + Future.Nil + } else { + // All candidates are assigned a random value between 0 and 1 as score. + Future.value(dataRecords.map(_ => Option(rnd.nextDouble()))) + } + } + + override val modelName = "PostNuxRandomRanker" + + // This is not needed since we are overriding the `predict` function, but we have to override + // `predictionFeature` anyway. + override val predictionFeature: Feature.Continuous = + new Feature.Continuous("prediction.pfollow_pengagement") +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/Scorer.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/Scorer.scala new file mode 100644 index 000000000..2ca611535 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/Scorer.scala @@ -0,0 +1,34 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasDebugOptions +import com.twitter.follow_recommendations.common.models.Score +import com.twitter.follow_recommendations.common.models.ScoreType +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +trait Scorer { + + // unique id of the scorer + def id: RankerId.Value + + // type of the output scores + def scoreType: Option[ScoreType] = None + + // Scoring when an ML model is used. + def score(records: Seq[DataRecord]): Stitch[Seq[Score]] + + /** + * Scoring when a non-ML method is applied. E.g: Boosting, randomized reordering, etc. + * This method assumes that candidates' scores are already retrieved from heavy-ranker models and + * are available for use. + */ + def score( + target: HasClientContext with HasParams with HasDisplayLocation with HasDebugOptions, + candidates: Seq[CandidateUser] + ): Seq[Option[Score]] +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/ScorerFactory.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/ScorerFactory.scala new file mode 100644 index 000000000..a9ea0a21b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring/ScorerFactory.scala @@ -0,0 +1,38 @@ +package com.twitter.follow_recommendations.common.rankers.ml_ranker.scoring + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.follow_recommendations.common.rankers.common.RankerId.RankerId +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ScorerFactory @Inject() ( + postnuxProdScorer: PostnuxDeepbirdProdScorer, + randomScorer: RandomScorer, + stats: StatsReceiver) { + + private val scorerFactoryStats = stats.scope("scorer_factory") + private val scorerStat = scorerFactoryStats.scope("scorer") + + def getScorers( + rankerIds: Seq[RankerId] + ): Seq[Scorer] = { + rankerIds.map { scorerId => + val scorer: Scorer = getScorerById(scorerId) + // count # of times a ranker has been requested + scorerStat.counter(scorer.id.toString).incr() + scorer + } + } + + def getScorerById(scorerId: RankerId): Scorer = scorerId match { + case RankerId.PostNuxProdRanker => + postnuxProdScorer + case RankerId.RandomRanker => + randomScorer + case _ => + scorerStat.counter("invalid_scorer_type").incr() + throw new IllegalArgumentException("unknown_scorer_type") + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils/BUILD new file mode 100644 index 000000000..82e9fc7f4 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils/BUILD @@ -0,0 +1,8 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils/Utils.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils/Utils.scala new file mode 100644 index 000000000..29f00b698 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils/Utils.scala @@ -0,0 +1,28 @@ +package com.twitter.follow_recommendations.common.rankers.utils + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.Score +import com.twitter.follow_recommendations.common.rankers.common.RankerId.RankerId + +object Utils { + + /** + * Add the ranking and scoring info for a list of candidates on a given ranking stage. + * @param candidates A list of CandidateUser + * @param rankingStage Should use `Ranker.name` as the ranking stage. + * @return The list of CandidateUser with ranking/scoring info added. + */ + def addRankingInfo(candidates: Seq[CandidateUser], rankingStage: String): Seq[CandidateUser] = { + candidates.zipWithIndex.map { + case (candidate, rank) => + // 1-based ranking for better readability + candidate.addInfoPerRankingStage(rankingStage, candidate.scores, rank + 1) + } + } + + def getCandidateScoreByRankerId(candidate: CandidateUser, rankerId: RankerId): Option[Score] = + candidate.scores.flatMap { ss => ss.scores.find(_.rankerId.contains(rankerId)) } + + def getAllRankerIds(candidates: Seq[CandidateUser]): Seq[RankerId] = + candidates.flatMap(_.scores.map(_.scores.flatMap(_.rankerId))).flatten.distinct +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/BUILD new file mode 100644 index 000000000..3de5523b1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/BUILD @@ -0,0 +1,20 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/CandidateShuffle.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/CandidateShuffle.scala new file mode 100644 index 000000000..be281a582 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/CandidateShuffle.scala @@ -0,0 +1,36 @@ +package com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker + +import com.twitter.follow_recommendations.common.utils.RandomUtil +import scala.util.Random + +sealed trait CandidateShuffler[T] { + def shuffle(seed: Option[Long])(input: Seq[T]): Seq[T] +} + +class NoShuffle[T]() extends CandidateShuffler[T] { + def shuffle(seed: Option[Long])(input: Seq[T]): Seq[T] = input +} + +class RandomShuffler[T]() extends CandidateShuffler[T] { + def shuffle(seed: Option[Long])(input: Seq[T]): Seq[T] = { + seed.map(new Random(_)).getOrElse(Random).shuffle(input) + } +} + +trait RankWeightedRandomShuffler[T] extends CandidateShuffler[T] { + + def rankToWeight(rank: Int): Double + def shuffle(seed: Option[Long])(input: Seq[T]): Seq[T] = { + val candWeights = input.zipWithIndex.map { + case (candidate, rank) => (candidate, rankToWeight(rank)) + } + RandomUtil.weightedRandomShuffle(candWeights, seed.map(new Random(_))).unzip._1 + } +} + +class ExponentialShuffler[T]() extends RankWeightedRandomShuffler[T] { + def rankToWeight(rank: Int): Double = { + 1 / math + .pow(rank.toDouble, 2.0) // this function was proved to be effective in previous DDGs + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightMethod.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightMethod.scala new file mode 100644 index 000000000..54e2ad549 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightMethod.scala @@ -0,0 +1,6 @@ +package com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker + +object WeightMethod extends Enumeration { + type WeightMethod = Value + val WeightedRandomSampling, WeightedRoundRobin = Value +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceBaseRanker.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceBaseRanker.scala new file mode 100644 index 000000000..e348560db --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceBaseRanker.scala @@ -0,0 +1,118 @@ +package com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker + +import com.twitter.follow_recommendations.common.utils.RandomUtil +import com.twitter.follow_recommendations.common.utils.MergeUtil +import com.twitter.follow_recommendations.common.utils.Weighted +import com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker.WeightMethod._ +import scala.util.Random + +/** + * This ranker selects the next candidate source to select a candidate from. It supports + * two kinds of algorithm, WeightedRandomSampling or WeightedRoundRobin. WeightedRandomSampling + * pick the next candidate source randomly, WeightedRoundRobin picked the next candidate source + * sequentially based on the weight of the candidate source. It is default to WeightedRandomSampling + * if no weight method is provided. + * + * Example usage of this class: + * + * When use WeightedRandomSampling: + * Input candidate sources and their weights are: {{CS1: 3}, {CS2: 2}, {CS3: 5}} + * Ranked candidates sequence is not determined because of random sampling. + * One possible output candidate sequence is: (CS1_candidate1, CS2_candidate1, CS2_candidate2, + * CS3_candidate1, CS3_candidates2, CS3_candidate3, CS1_candidate2, CS1_candidate3, + * CS3_candidate4, CS3_candidate5, CS1_candidate4, CS1_candidate5, CS2_candidate6, CS2_candidate3,...) + * + * When use WeightedRoundRobin: + * Input candidate sources and their weights are: {{CS1: 3}, {CS2: 2}, {CS3: 5}} + * Output candidate sequence is: (CS1_candidate1, CS1_candidate2, CS1_candidate3, + * CS2_candidate1, CS2_candidates2, CS3_candidate1, CS3_candidate2, CS3_candidate3, + * CS3_candidate4, CS3_candidate5, CS1_candidate4, CS1_candidate5, CS1_candidate6, CS2_candidate3,...) + * + * Note: CS1_candidate1 means the first candidate in CS1 candidate source. + * + * @tparam A candidate source type + * @tparam Rec Recommendation type + * @param candidateSourceWeights relative weights for different candidate sources + */ +class WeightedCandidateSourceBaseRanker[A, Rec]( + candidateSourceWeights: Map[A, Double], + weightMethod: WeightMethod = WeightedRandomSampling, + randomSeed: Option[Long]) { + + /** + * Creates a iterator over algorithms and calls next to return a Stream of candidates + * + * + * @param candidateSources the set of candidate sources that are being sampled + * @param candidateSourceWeights map of candidate source to weight + * @param candidates the map of candidate source to the iterator of its results + * @param weightMethod a enum to indict which weight method to use. Two values are supported + * currently. When WeightedRandomSampling is set, the next candidate is picked from a candidate + * source that is randomly chosen. When WeightedRoundRobin is set, the next candidate is picked + * from current candidate source until the number of candidates reaches to the assigned weight of + * the candidate source. The next call of this function will return a candidate from the next + * candidate source which is after previous candidate source based on the order input + * candidate source sequence. + + * @return stream of candidates + */ + def stream( + candidateSources: Set[A], + candidateSourceWeights: Map[A, Double], + candidates: Map[A, Iterator[Rec]], + weightMethod: WeightMethod = WeightedRandomSampling, + random: Option[Random] = None + ): Stream[Rec] = { + val weightedCandidateSource: Weighted[A] = new Weighted[A] { + override def apply(a: A): Double = candidateSourceWeights.getOrElse(a, 0) + } + + /** + * Generates a stream of candidates. + * + * @param candidateSourceIter an iterator over candidate sources returned by the sampling procedure + * @return stream of candidates + */ + def next(candidateSourceIter: Iterator[A]): Stream[Rec] = { + val source = candidateSourceIter.next() + val it = candidates(source) + if (it.hasNext) { + val currCand = it.next() + currCand #:: next(candidateSourceIter) + } else { + assert(candidateSources.contains(source), "Selected source is not in candidate sources") + // Remove the depleted candidate source and re-sample + stream(candidateSources - source, candidateSourceWeights, candidates, weightMethod, random) + } + } + if (candidateSources.isEmpty) + Stream.empty + else { + val candidateSourceSeq = candidateSources.toSeq + val candidateSourceIter = + if (weightMethod == WeightMethod.WeightedRoundRobin) { + MergeUtil.weightedRoundRobin(candidateSourceSeq)(weightedCandidateSource).iterator + } else { + //default to weighted random sampling if no other weight method is provided + RandomUtil + .weightedRandomSamplingWithReplacement( + candidateSourceSeq, + random + )(weightedCandidateSource).iterator + } + next(candidateSourceIter) + } + } + + def apply(input: Map[A, TraversableOnce[Rec]]): Stream[Rec] = { + stream( + input.keySet, + candidateSourceWeights, + input.map { + case (k, v) => k -> v.toIterator + }, // cannot do mapValues here, as that only returns a view + weightMethod, + randomSeed.map(new Random(_)) + ) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRanker.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRanker.scala new file mode 100644 index 000000000..c6f55adbc --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRanker.scala @@ -0,0 +1,100 @@ +package com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker +import com.twitter.follow_recommendations.common.base.Ranker +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.rankers.common.DedupCandidates +import com.twitter.follow_recommendations.common.rankers.utils.Utils +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +/** + * Candidate Ranker that mixes and ranks multiple candidate lists from different candidate sources with the + * following steps: + * 1) generate a ranked candidate list of each candidate source by sorting and shuffling the candidate list + * of the algorithm. + * 2) merge the ranked lists generated in 1) into a single list using weighted randomly sampling. + * 3) If dedup is required, dedup the output from 2) by candidate id. + * + * @param basedRanker base ranker + * @param shuffleFn the shuffle function that will be used to shuffle each algorithm's sorted candidate list. + * @param dedup whether to remove duplicated candidates from the final output. + */ +class WeightedCandidateSourceRanker[Target <: HasParams]( + basedRanker: WeightedCandidateSourceBaseRanker[ + CandidateSourceIdentifier, + CandidateUser + ], + shuffleFn: Seq[CandidateUser] => Seq[CandidateUser], + dedup: Boolean) + extends Ranker[Target, CandidateUser] { + + val name: String = this.getClass.getSimpleName + + override def rank(target: Target, candidates: Seq[CandidateUser]): Stitch[Seq[CandidateUser]] = { + val scribeRankingInfo: Boolean = + target.params(WeightedCandidateSourceRankerParams.ScribeRankingInfoInWeightedRanker) + val rankedCands = rankCandidates(group(candidates)) + Stitch.value(if (scribeRankingInfo) Utils.addRankingInfo(rankedCands, name) else rankedCands) + } + + private def group( + candidates: Seq[CandidateUser] + ): Map[CandidateSourceIdentifier, Seq[CandidateUser]] = { + val flattened = for { + candidate <- candidates + identifier <- candidate.getPrimaryCandidateSource + } yield (identifier, candidate) + flattened.groupBy(_._1).mapValues(_.map(_._2)) + } + + private def rankCandidates( + input: Map[CandidateSourceIdentifier, Seq[CandidateUser]] + ): Seq[CandidateUser] = { + // Sort and shuffle candidates per candidate source. + // Note 1: Using map instead mapValue here since mapValue somehow caused infinite loop when used as part of Stream. + val sortAndShuffledCandidates = input.map { + case (source, candidates) => + // Note 2: toList is required here since candidates is a view, and it will result in infinit loop when used as part of Stream. + // Note 3: there is no real sorting logic here, it assumes the input is already sorted by candidate sources + val sortedCandidates = candidates.toList + source -> shuffleFn(sortedCandidates).iterator + } + val rankedCandidates = basedRanker(sortAndShuffledCandidates) + + if (dedup) DedupCandidates(rankedCandidates) else rankedCandidates + } +} + +object WeightedCandidateSourceRanker { + + def build[Target <: HasParams]( + candidateSourceWeight: Map[CandidateSourceIdentifier, Double], + shuffleFn: Seq[CandidateUser] => Seq[CandidateUser] = identity, + dedup: Boolean = false, + randomSeed: Option[Long] = None + ): WeightedCandidateSourceRanker[Target] = { + new WeightedCandidateSourceRanker( + new WeightedCandidateSourceBaseRanker( + candidateSourceWeight, + WeightMethod.WeightedRandomSampling, + randomSeed = randomSeed), + shuffleFn, + dedup + ) + } +} + +object WeightedCandidateSourceRankerWithoutRandomSampling { + def build[Target <: HasParams]( + candidateSourceWeight: Map[CandidateSourceIdentifier, Double] + ): WeightedCandidateSourceRanker[Target] = { + new WeightedCandidateSourceRanker( + new WeightedCandidateSourceBaseRanker( + candidateSourceWeight, + WeightMethod.WeightedRoundRobin, + randomSeed = None), + identity, + false, + ) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRankerFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRankerFSConfig.scala new file mode 100644 index 000000000..58f0fde3e --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRankerFSConfig.scala @@ -0,0 +1,13 @@ +package com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSParam + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class WeightedCandidateSourceRankerFSConfig @Inject() extends FeatureSwitchConfig { + override val booleanFSParams: Seq[FSParam[Boolean]] = + Seq(WeightedCandidateSourceRankerParams.ScribeRankingInfoInWeightedRanker) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRankerParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRankerParams.scala new file mode 100644 index 000000000..ff4ecae4b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker/WeightedCandidateSourceRankerParams.scala @@ -0,0 +1,8 @@ +package com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker + +import com.twitter.timelines.configapi.FSParam + +object WeightedCandidateSourceRankerParams { + case object ScribeRankingInfoInWeightedRanker + extends FSParam[Boolean]("weighted_ranker_scribe_ranking_info", false) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores/BUILD new file mode 100644 index 000000000..3b7a46db7 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores/BUILD @@ -0,0 +1,19 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "strato/config/columns/onboarding/userrecs:userrecs-strato-client", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores/LowTweepCredFollowStore.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores/LowTweepCredFollowStore.scala new file mode 100644 index 000000000..d2f4e035b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/stores/LowTweepCredFollowStore.scala @@ -0,0 +1,39 @@ +package com.twitter.follow_recommendations.common.stores + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.onboarding.userrecs.TweepCredOnUserClientColumn +import javax.inject.Inject +import javax.inject.Singleton + +// Not a candidate source since it's a intermediary. +@Singleton +class LowTweepCredFollowStore @Inject() (tweepCredOnUserClientColumn: TweepCredOnUserClientColumn) { + + def getLowTweepCredUsers(target: HasRecentFollowedUserIds): Stitch[Seq[CandidateUser]] = { + val newFollowings = + target.recentFollowedUserIds.getOrElse(Nil).take(LowTweepCredFollowStore.NumFlockToRetrieve) + + val validTweepScoreUserIdsStitch: Stitch[Seq[Long]] = Stitch + .traverse(newFollowings) { newFollowingUserId => + val tweepCredScoreOptStitch = tweepCredOnUserClientColumn.fetcher + .fetch(newFollowingUserId) + .map(_.v) + tweepCredScoreOptStitch.map(_.flatMap(tweepCred => + if (tweepCred < LowTweepCredFollowStore.TweepCredThreshold) { + Some(newFollowingUserId) + } else { + None + })) + }.map(_.flatten) + + validTweepScoreUserIdsStitch + .map(_.map(CandidateUser(_, Some(CandidateUser.DefaultCandidateScore)))) + } +} + +object LowTweepCredFollowStore { + val NumFlockToRetrieve = 500 + val TweepCredThreshold = 40 +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup/BUILD new file mode 100644 index 000000000..35534b064 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup/BUILD @@ -0,0 +1,8 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup/DedupTransform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup/DedupTransform.scala new file mode 100644 index 000000000..64f73d6ae --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup/DedupTransform.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.common.transforms.dedup + +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.stitch.Stitch +import scala.collection.mutable + +class DedupTransform[Request, Candidate <: UniversalNoun[Long]]() + extends Transform[Request, Candidate] { + override def transform(target: Request, candidates: Seq[Candidate]): Stitch[Seq[Candidate]] = { + val seen = mutable.HashSet[Long]() + Stitch.value(candidates.filter(candidate => seen.add(candidate.id))) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/BUILD new file mode 100644 index 000000000..79da9c259 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/BUILD @@ -0,0 +1,22 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "configapi/configapi-core", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/ModifySocialProofTransform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/ModifySocialProofTransform.scala new file mode 100644 index 000000000..306578a4d --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/ModifySocialProofTransform.scala @@ -0,0 +1,202 @@ +package com.twitter.follow_recommendations.common.transforms.modify_social_proof + +import com.twitter.conversions.DurationOps._ +import com.twitter.decider.Decider +import com.twitter.decider.RandomRecipient +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.follow_recommendations.common.base.GatedTransform +import com.twitter.follow_recommendations.common.clients.graph_feature_service.GraphFeatureServiceClient +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FollowProof +import com.twitter.follow_recommendations.configapi.deciders.DeciderKey +import com.twitter.graph_feature_service.thriftscala.EdgeType +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.logging.Logging +import com.twitter.util.Duration +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +object ModifySocialProof { + val GfsLagDuration: Duration = 14.days + val GfsIntersectionIds: Int = 3 + val SgsIntersectionIds: Int = 10 + val LeftEdgeTypes: Set[EdgeType] = Set(EdgeType.Following) + val RightEdgeTypes: Set[EdgeType] = Set(EdgeType.FollowedBy) + + /** + * Given the intersection ID's for a particular candidate, update the candidate's social proof + * @param candidate candidate object + * @param followProof follow proof to be added (includes id's and count) + * @param stats stats for tracking + * @return updated candidate object + */ + def addIntersectionIdsToCandidate( + candidate: CandidateUser, + followProof: FollowProof, + stats: StatsReceiver + ): CandidateUser = { + // create updated set of social proof + val updatedFollowedByOpt = candidate.followedBy match { + case Some(existingFollowedBy) => Some((followProof.followedBy ++ existingFollowedBy).distinct) + case None if followProof.followedBy.nonEmpty => Some(followProof.followedBy.distinct) + case _ => None + } + + val updatedFollowProof = updatedFollowedByOpt.map { updatedFollowedBy => + val updatedCount = followProof.numIds.max(updatedFollowedBy.size) + // track stats + val numSocialProofAdded = updatedFollowedBy.size - candidate.followedBy.size + addCandidatesWithSocialContextCountStat(stats, numSocialProofAdded) + FollowProof(updatedFollowedBy, updatedCount) + } + + candidate.setFollowProof(updatedFollowProof) + } + + private def addCandidatesWithSocialContextCountStat( + statsReceiver: StatsReceiver, + count: Int + ): Unit = { + if (count > 3) { + statsReceiver.counter("4_and_more").incr() + } else { + statsReceiver.counter(count.toString).incr() + } + } +} + +/** + * This class makes a request to gfs/sgs for hydrating additional social proof on each of the + * provided candidates. + */ +@Singleton +class ModifySocialProof @Inject() ( + gfsClient: GraphFeatureServiceClient, + socialGraphClient: SocialGraphClient, + statsReceiver: StatsReceiver, + decider: Decider = Decider.True) + extends Logging { + import ModifySocialProof._ + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val addedStats = stats.scope("num_social_proof_added_per_candidate") + private val gfsStats = stats.scope("graph_feature_service") + private val sgsStats = stats.scope("social_graph_service") + private val previousProofEmptyCounter = stats.counter("previous_proof_empty") + private val emptyFollowProofCounter = stats.counter("empty_followed_proof") + + /** + * For each candidate provided, we get the intersectionIds between the user and the candidate, + * appending the unique results to the social proof (followedBy field) if not already previously + * seen we query GFS for all users, except for cases specified via the mustCallSgs field or for + * very new users, who would not have any data in GFS, due to the lag duration of the service's + * processing. this is determined by GfsLagDuration + * @param userId id of the target user whom we provide recommendations for + * @param candidates list of candidates + * @param intersectionIdsNum if provided, determines the maximum number of accounts we want to be hydrated for social proof + * @param mustCallSgs Determines if we should query SGS regardless of user age or not. + * @return list of candidates updated with additional social proof + */ + def hydrateSocialProof( + userId: Long, + candidates: Seq[CandidateUser], + intersectionIdsNum: Option[Int] = None, + mustCallSgs: Boolean = false, + callSgsCachedColumn: Boolean = false, + gfsLagDuration: Duration = GfsLagDuration, + gfsIntersectionIds: Int = GfsIntersectionIds, + sgsIntersectionIds: Int = SgsIntersectionIds, + ): Stitch[Seq[CandidateUser]] = { + addCandidatesWithSocialContextCountStat( + stats.scope("social_context_count_before_hydration"), + candidates.count(_.followedBy.isDefined) + ) + val candidateIds = candidates.map(_.id) + val userAgeOpt = SnowflakeId.timeFromIdOpt(userId).map(Time.now - _) + + // this decider gate is used to determine what % of requests is allowed to call + // Graph Feature Service. this is useful for ramping down requests to Graph Feature Service + // when necessary + val deciderKey: String = DeciderKey.EnableGraphFeatureServiceRequests.toString + val enableGfsRequests: Boolean = decider.isAvailable(deciderKey, Some(RandomRecipient)) + + // if new query sgs + val (candidateToIntersectionIdsMapFut, isGfs) = + if (!enableGfsRequests || mustCallSgs || userAgeOpt.exists(_ < gfsLagDuration)) { + ( + if (callSgsCachedColumn) + socialGraphClient.getIntersectionsFromCachedColumn( + userId, + candidateIds, + intersectionIdsNum.getOrElse(sgsIntersectionIds) + ) + else + socialGraphClient.getIntersections( + userId, + candidateIds, + intersectionIdsNum.getOrElse(sgsIntersectionIds)), + false) + } else { + ( + gfsClient.getIntersections( + userId, + candidateIds, + intersectionIdsNum.getOrElse(gfsIntersectionIds)), + true) + } + val finalCandidates = candidateToIntersectionIdsMapFut + .map { candidateToIntersectionIdsMap => + { + previousProofEmptyCounter.incr(candidates.count(_.followedBy.exists(_.isEmpty))) + candidates.map { candidate => + addIntersectionIdsToCandidate( + candidate, + candidateToIntersectionIdsMap.getOrElse(candidate.id, FollowProof(Seq.empty, 0)), + addedStats) + } + } + } + .within(250.milliseconds)(DefaultTimer) + .rescue { + case e: Exception => + error(e.getMessage) + if (isGfs) { + gfsStats.scope("rescued").counter(e.getClass.getSimpleName).incr() + } else { + sgsStats.scope("rescued").counter(e.getClass.getSimpleName).incr() + } + Stitch.value(candidates) + } + + finalCandidates.onSuccess { candidatesSeq => + emptyFollowProofCounter.incr(candidatesSeq.count(_.followedBy.exists(_.isEmpty))) + addCandidatesWithSocialContextCountStat( + stats.scope("social_context_count_after_hydration"), + candidatesSeq.count(_.followedBy.isDefined) + ) + } + } +} + +/** + * This transform uses ModifySocialProof (which makes a request to gfs/sgs) for hydrating additional + * social proof on each of the provided candidates. + */ +@Singleton +class ModifySocialProofTransform @Inject() (modifySocialProof: ModifySocialProof) + extends GatedTransform[HasClientContext with HasParams, CandidateUser] + with Logging { + + override def transform( + target: HasClientContext with HasParams, + candidates: Seq[CandidateUser] + ): Stitch[Seq[CandidateUser]] = + target.getOptionalUserId + .map(modifySocialProof.hydrateSocialProof(_, candidates)).getOrElse(Stitch.value(candidates)) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/RemoveAccountProofTransform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/RemoveAccountProofTransform.scala new file mode 100644 index 000000000..8face1164 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof/RemoveAccountProofTransform.scala @@ -0,0 +1,27 @@ +package com.twitter.follow_recommendations.common.transforms.modify_social_proof + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.GatedTransform +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RemoveAccountProofTransform @Inject() (statsReceiver: StatsReceiver) + extends GatedTransform[HasClientContext with HasParams, CandidateUser] { + + private val stats = statsReceiver.scope(this.getClass.getSimpleName) + private val removedProofsCounter = stats.counter("num_removed_proofs") + + override def transform( + target: HasClientContext with HasParams, + items: Seq[CandidateUser] + ): Stitch[Seq[CandidateUser]] = + Stitch.value(items.map { candidate => + removedProofsCounter.incr() + candidate.copy(reason = None) + }) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id/BUILD new file mode 100644 index 000000000..d6dcd8522 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id/BUILD @@ -0,0 +1,19 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/constants", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id/RandomRankerIdTransform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id/RandomRankerIdTransform.scala new file mode 100644 index 000000000..03639da26 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id/RandomRankerIdTransform.scala @@ -0,0 +1,24 @@ +package com.twitter.follow_recommendations.common.transforms.ranker_id + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.base.GatedTransform +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.Score +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams + +/** + * This class appends each candidate's rankerIds with the RandomRankerId. + * This is primarily for determining if a candidate was generated via random shuffling. + */ +@Singleton +class RandomRankerIdTransform @Inject() () extends GatedTransform[HasParams, CandidateUser] { + + override def transform( + target: HasParams, + candidates: Seq[CandidateUser] + ): Stitch[Seq[CandidateUser]] = { + Stitch.value(candidates.map(_.addScore(Score.RandomScore))) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/recommendation_flow_identifier/AddRecommendationFlowIdentifierTransform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/recommendation_flow_identifier/AddRecommendationFlowIdentifierTransform.scala new file mode 100644 index 000000000..87c111a6c --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/recommendation_flow_identifier/AddRecommendationFlowIdentifierTransform.scala @@ -0,0 +1,20 @@ +package com.twitter.follow_recommendations.common.transforms.recommendation_flow_identifier + +import com.google.inject.Inject +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasRecommendationFlowIdentifier +import com.twitter.stitch.Stitch + +class AddRecommendationFlowIdentifierTransform @Inject() + extends Transform[HasRecommendationFlowIdentifier, CandidateUser] { + + override def transform( + target: HasRecommendationFlowIdentifier, + items: Seq[CandidateUser] + ): Stitch[Seq[CandidateUser]] = { + Stitch.value(items.map { candidateUser => + candidateUser.copy(recommendationFlowIdentifier = target.recommendationFlowIdentifier) + }) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/recommendation_flow_identifier/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/recommendation_flow_identifier/BUILD new file mode 100644 index 000000000..820e2df66 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/recommendation_flow_identifier/BUILD @@ -0,0 +1,9 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token/BUILD new file mode 100644 index 000000000..d9b257348 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token/BUILD @@ -0,0 +1,18 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/constants", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token/TrackingTokenTransform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token/TrackingTokenTransform.scala new file mode 100644 index 000000000..5a30c9cb1 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token/TrackingTokenTransform.scala @@ -0,0 +1,76 @@ +package com.twitter.follow_recommendations.common.transforms.tracking_token + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.Session +import com.twitter.follow_recommendations.common.models.TrackingToken +import com.twitter.hermit.constants.AlgorithmFeedbackTokens.AlgorithmToFeedbackTokenMap +import com.twitter.hermit.model.Algorithm +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.stitch.Stitch +import com.twitter.util.logging.Logging + +import javax.inject.Inject +import javax.inject.Singleton + +/** + * This transform adds the tracking token for all candidates + * Since this happens in the same request, we use the same trace-id for all candidates + * There are no RPC calls in this transform so it's safe to chain it with `andThen` at the end of + * all other product-specific transforms + */ +@Singleton +class TrackingTokenTransform @Inject() (baseStatsReceiver: StatsReceiver) + extends Transform[HasDisplayLocation with HasClientContext, CandidateUser] + with Logging { + + def profileResults( + target: HasDisplayLocation with HasClientContext, + candidates: Seq[CandidateUser] + ) = { + // Metrics to track # results per candidate source + val stats = baseStatsReceiver.scope(target.displayLocation.toString + "/final_results") + stats.stat("total").add(candidates.size) + + stats.counter(target.displayLocation.toString).incr() + + val flattenedCandidates: Seq[(CandidateSourceIdentifier, CandidateUser)] = for { + candidate <- candidates + identifier <- candidate.getPrimaryCandidateSource + } yield (identifier, candidate) + val candidatesGroupedBySource: Map[CandidateSourceIdentifier, Seq[CandidateUser]] = + flattenedCandidates.groupBy(_._1).mapValues(_.map(_._2)) + candidatesGroupedBySource map { + case (source, candidates) => stats.stat(source.name).add(candidates.size) + } + } + + override def transform( + target: HasDisplayLocation with HasClientContext, + candidates: Seq[CandidateUser] + ): Stitch[Seq[CandidateUser]] = { + profileResults(target, candidates) + + Stitch.value( + target.getOptionalUserId + .map { _ => + candidates.map { + candidate => + val token = Some(TrackingToken( + sessionId = Session.getSessionId, + displayLocation = Some(target.displayLocation), + controllerData = None, + algorithmId = candidate.userCandidateSourceDetails.flatMap(_.primaryCandidateSource + .flatMap { identifier => + Algorithm.withNameOpt(identifier.name).flatMap(AlgorithmToFeedbackTokenMap.get) + }) + )) + candidate.copy(trackingToken = token) + } + }.getOrElse(candidates)) + + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/BUILD new file mode 100644 index 000000000..606e8edfa --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/BUILD @@ -0,0 +1,10 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransform.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransform.scala new file mode 100644 index 000000000..269a39a48 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransform.scala @@ -0,0 +1,138 @@ +package com.twitter.follow_recommendations.common.transforms.weighted_sampling +import com.twitter.follow_recommendations.common.base.GatedTransform +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDebugOptions +import com.twitter.follow_recommendations.common.models.Score +import com.twitter.follow_recommendations.common.models.Scores +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.follow_recommendations.common.rankers.utils.Utils +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SamplingTransform @Inject() () + extends GatedTransform[HasClientContext with HasParams with HasDebugOptions, CandidateUser] { + + val name: String = this.getClass.getSimpleName + + /* + Description: This function takes in a set of candidate users and ranks them for a who-to-follow + request by sampling from the Placket-Luce distribution + (https://cran.rstudio.com/web/packages/PlackettLuce/vignettes/Overview.html) with a three + variations. The first variation is that the scores of the candidates are multiplied by + multiplicativeFactor before sampling. The second variation is that the scores are + exponentiated before sampling. The third variation is that depending on how many who-to-follow + positions are being requested, the first k positions are reserved for the candidates with the + highest scores (and they are sorted in decreasing order of score) and the remaining positions + are sampled from a Placket-Luce. We use the efficient algorithm proposed in this blog + https://medium.com/swlh/going-old-school-designing-algorithms-for-fast-weighted-sampling-in-production-c48fc1f40051 + to sample from a Plackett-Luce. Because of numerical stability reasons, before sampling from this + distribution, (1) we subtract off the maximum score from all the scores and (2) if after + this subtraction and multiplication by the multiplicative factor the resulting score is <= -10, + we force the candidate's transformed score under the above algorithm to be 0 (so r^(1/w) = 0) + where r is a random number and w is the transformed score. + + inputs: + - target: HasClientContext (WTF request) + - candidates: sequence of CandidateUsers (users that need to be ranked from a who-to-follow + request) each of which has a score + + inputs accessed through feature switches, i.e. through target.params (see the following file: + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/ + transforms/weighted_sampling/SamplingTransformParams.scala"): + - topKFixed: the first k positions of the who-to-follow ranking correspond to the users with the k + highest scores and are not sampled from the Placket-Luce distribution + - multiplicativeFactor: multiplicativeFactor is used to transform the scores of each candidate by + multiplying that user's score by multiplicativeFactor + + output: + - Sequence of CandidateUser whose order represents the ranking of users in a who-to-follow request + This ranking is sampled from a Placket-Luce distribution. + */ + override def transform( + target: HasClientContext with HasParams with HasDebugOptions, + candidates: Seq[CandidateUser] + ): Stitch[Seq[CandidateUser]] = { + + // the first k positions of the who-to-follow ranking correspond to the users with the k + // highest scores and are not sampled from the Placket-Luce distribution + val topKFixed = target.params(SamplingTransformParams.TopKFixed) + + // multiplicativeFactor is used to transform the scores of each candidate by + // multiplying that user's score by multiplicativeFactor + val multiplicativeFactor = target.params(SamplingTransformParams.MultiplicativeFactor) + + // sort candidates by their score + val candidatesSorted = candidates.sortBy(-1 * _.score.getOrElse(0.0)) + + // pick the top K candidates by score and the remaining candidates + val (topKFixedCandidates, candidatesOutsideOfTopK) = + candidatesSorted.zipWithIndex.partition { case (value, index) => index < topKFixed } + + val randomNumGenerator = + new scala.util.Random(target.getRandomizationSeed.getOrElse(System.currentTimeMillis)) + + // we need to subtract the maximum score off the scores for numerical stability reasons + // subtracting the max score off does not effect the underlying distribution we are sampling + // the candidates from + // we need the if statement since you cannot take the max of an empty sequence + val maximum_score = if (candidatesOutsideOfTopK.nonEmpty) { + candidatesOutsideOfTopK.map(x => x._1.score.getOrElse(0.0)).max + } else { + 0.0 + } + + // for candidates in candidatesOutsideOfTopK, we transform their score by subtracting off + // maximum_score and then multiply by multiplicativeFactor + val candidatesOutsideOfTopKTransformedScore = candidatesOutsideOfTopK.map(x => + (x._1, multiplicativeFactor * (x._1.score.getOrElse(0.0) - maximum_score))) + + // for each candidate with score transformed and clip score w, sample a random number r, + // create a new score r^(1/w) and sort the candidates to get the final ranking. + // for numerical stability reasons if the score is <=-10, we force r^(1/w) = 0. + // this samples the candidates from the modified Plackett-Luce distribution. See + // https://medium.com/swlh/going-old-school-designing-algorithms-for-fast-weighted-sampling-in-production-c48fc1f40051 + + val candidatesOutsideOfTopKSampled = candidatesOutsideOfTopKTransformedScore + .map(x => + ( + x._1, + if (x._2 <= -10.0) + 0.0 + else + scala.math.pow( + randomNumGenerator.nextFloat(), + 1 / (scala.math + .exp(x._2))))).sortBy(-1 * _._2) + + val topKCandidates: Seq[CandidateUser] = topKFixedCandidates.map(_._1) + + val scribeRankingInfo: Boolean = + target.params(SamplingTransformParams.ScribeRankingInfoInSamplingTransform) + + val transformedCandidates: Seq[CandidateUser] = if (scribeRankingInfo) { + val topKCandidatesWithRankingInfo: Seq[CandidateUser] = + Utils.addRankingInfo(topKCandidates, name) + val candidatesOutsideOfTopKSampledWithRankingInfo: Seq[CandidateUser] = + candidatesOutsideOfTopKSampled.zipWithIndex.map { + case ((candidate, score), rank) => + val newScore = Seq(Score(score, Some(RankerId.PlacketLuceSamplingTransformer))) + val newScores: Option[Scores] = candidate.scores + .map { scores => + scores.copy(scores = scores.scores ++ newScore) + }.orElse(Some(Scores(newScore, Some(RankerId.PlacketLuceSamplingTransformer)))) + val globalRank = rank + topKFixed + 1 + candidate.addInfoPerRankingStage(name, newScores, globalRank) + } + + topKCandidatesWithRankingInfo ++ candidatesOutsideOfTopKSampledWithRankingInfo + } else { + topKCandidates ++ candidatesOutsideOfTopKSampled.map(_._1) + } + + Stitch.value(transformedCandidates) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransformFSConfig.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransformFSConfig.scala new file mode 100644 index 000000000..b97251f93 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransformFSConfig.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.common.transforms.weighted_sampling + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SamplingTransformFSConfig @Inject() () extends FeatureSwitchConfig { + override val intFSParams: Seq[FSBoundedParam[Int]] = Seq(SamplingTransformParams.TopKFixed) + + override val doubleFSParams: Seq[FSBoundedParam[Double]] = Seq( + SamplingTransformParams.MultiplicativeFactor) + + override val booleanFSParams: Seq[FSParam[Boolean]] = Seq( + SamplingTransformParams.ScribeRankingInfoInSamplingTransform) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransformParams.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransformParams.scala new file mode 100644 index 000000000..363487a9b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling/SamplingTransformParams.scala @@ -0,0 +1,25 @@ +package com.twitter.follow_recommendations.common.transforms.weighted_sampling + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object SamplingTransformParams { + + case object TopKFixed // indicates how many of the fisrt K who-to-follow recommendations are reserved for the candidates with largest K CandidateUser.score where these candidates are sorted in decreasing order of score + extends FSBoundedParam[Int]( + name = "post_nux_ml_flow_weighted_sampling_top_k_fixed", + default = 0, + min = 0, + max = 100) + + case object MultiplicativeFactor // CandidateUser.score gets transformed to multiplicativeFactor*CandidateUser.score before sampling from the Plackett-Luce distribution + extends FSBoundedParam[Double]( + name = "post_nux_ml_flow_weighted_sampling_multiplicative_factor", + default = 1.0, + min = -1000.0, + max = 1000.0) + + case object ScribeRankingInfoInSamplingTransform + extends FSParam[Boolean]("sampling_transform_scribe_ranking_info", false) + +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/BUILD b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/BUILD new file mode 100644 index 000000000..7075167e3 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/BUILD @@ -0,0 +1,13 @@ +scala_library( + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request", + "stitch/stitch-core", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/CollectionUtil.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/CollectionUtil.scala new file mode 100644 index 000000000..db9a1f9f5 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/CollectionUtil.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.common.utils + +object CollectionUtil { + + /** + * Transposes a sequence of sequences. As opposed to the Scala collection library version + * of transpose, the sequences do not have to have the same length. + * + * Example: + * transpose(immutable.Seq(immutable.Seq(1,2,3), immutable.Seq(4,5), immutable.Seq(6,7))) + * => immutable.Seq(immutable.Seq(1, 4, 6), immutable.Seq(2, 5, 7), immutable.Seq(3)) + * + * @param seq a sequence of sequences + * @tparam A the type of elements in the seq + * @return the transposed sequence of sequences + */ + def transposeLazy[A](seq: Seq[Seq[A]]): Stream[Seq[A]] = + seq.filter(_.nonEmpty) match { + case Nil => Stream.empty + case ys => ys.map(_.head) #:: transposeLazy(ys.map(_.tail)) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/DisplayLocationProductConverterUtil.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/DisplayLocationProductConverterUtil.scala new file mode 100644 index 000000000..2f6db39b6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/DisplayLocationProductConverterUtil.scala @@ -0,0 +1,27 @@ +package com.twitter.follow_recommendations.common.utils + +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.Product +import com.twitter.product_mixer.core.model.marshalling.request.Product + +object DisplayLocationProductConverterUtil { + def productToDisplayLocation(product: Product): DisplayLocation = { + product match { + case Product.MagicRecs => DisplayLocation.MagicRecs + case _ => + throw UnconvertibleProductMixerProductException( + s"Cannot convert Product Mixer Product ${product.identifier.name} into a FRS DisplayLocation.") + } + } + + def displayLocationToProduct(displayLocation: DisplayLocation): Product = { + displayLocation match { + case DisplayLocation.MagicRecs => Product.MagicRecs + case _ => + throw UnconvertibleProductMixerProductException( + s"Cannot convert DisplayLocation ${displayLocation.toFsName} into a Product Mixer Product.") + } + } +} + +case class UnconvertibleProductMixerProductException(message: String) extends Exception(message) diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/MergeUtil.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/MergeUtil.scala new file mode 100644 index 000000000..6aaee4c45 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/MergeUtil.scala @@ -0,0 +1,51 @@ +package com.twitter.follow_recommendations.common.utils + +object MergeUtil { + + /** + * Takes a seq of items which have weights. Returns an infinite stream of each item + * by their weights. All weights need to be greater than or equal to zero. In addition, + * the sum of weights should be greater than zero. + * + * Example usage of this function: + * Input weighted Item {{CS1, 3}, {CS2, 2}, {CS3, 5}} + * Output stream: (CS1, CS1, CS1, CS2, CS2, CS3, CS3, CS3, CS3, CS3, CS1, CS1, CS1, CS2,...} + * + * @param items items + * @param weighted provides weights for items + * @tparam T type of item + * + * @return Stream of Ts + */ + def weightedRoundRobin[T]( + items: Seq[T] + )( + implicit weighted: Weighted[T] + ): Stream[T] = { + if (items.isEmpty) { + Stream.empty + } else { + val weights = items.map { i => weighted(i) } + assert( + weights.forall { + _ >= 0 + }, + "Negative weight exists for sampling") + val cumulativeWeight = weights.scanLeft(0.0)(_ + _).tail + assert(cumulativeWeight.last > 0, "Sum of the sampling weights is not positive") + + var weightIdx = 0 + var weight = 0 + + def next(): Stream[T] = { + val tmpIdx = weightIdx + weight = weight + 1 + weight = if (weight >= weights(weightIdx)) 0 else weight + weightIdx = if (weight == 0) weightIdx + 1 else weightIdx + weightIdx = if (weightIdx == weights.length) 0 else weightIdx + items(tmpIdx) #:: next() + } + next() + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/RandomUtil.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/RandomUtil.scala new file mode 100644 index 000000000..9d66e8deb --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/RandomUtil.scala @@ -0,0 +1,88 @@ +package com.twitter.follow_recommendations.common.utils +import scala.util.Random + +object RandomUtil { + + /** + * Takes a seq of items which have weights. Returns an infinite stream that is + * sampled with replacement using the weights for each item. All weights need + * to be greater than or equal to zero. In addition, the sum of weights + * should be greater than zero. + * + * @param items items + * @param weighted provides weights for items + * @tparam T type of item + * @return Stream of Ts + */ + def weightedRandomSamplingWithReplacement[T]( + items: Seq[T], + random: Option[Random] = None + )( + implicit weighted: Weighted[T] + ): Stream[T] = { + if (items.isEmpty) { + Stream.empty + } else { + val weights = items.map { i => weighted(i) } + assert(weights.forall { _ >= 0 }, "Negative weight exists for sampling") + val cumulativeWeight = weights.scanLeft(0.0)(_ + _).tail + assert(cumulativeWeight.last > 0, "Sum of the sampling weights is not positive") + val cumulativeProbability = cumulativeWeight map (_ / cumulativeWeight.last) + def next(): Stream[T] = { + val rand = random.getOrElse(Random).nextDouble() + val idx = cumulativeProbability.indexWhere(_ >= rand) + items(if (idx == -1) items.length - 1 else idx) #:: next() + } + next() + } + } + + /** + * Takes a seq of items and their weights. Returns a lazy weighted shuffle of + * the elements in the list. All weights should be greater than zero. + * + * @param items items + * @param weighted provides weights for items + * @tparam T type of item + * @return Stream of Ts + */ + def weightedRandomShuffle[T]( + items: Seq[T], + random: Option[Random] = None + )( + implicit weighted: Weighted[T] + ): Stream[T] = { + assert(items.forall { i => weighted(i) > 0 }, "Non-positive weight exists for shuffling") + def next(it: Seq[T]): Stream[T] = { + if (it.isEmpty) + Stream.empty + else { + val cumulativeWeight = it.scanLeft(0.0)((acc: Double, curr: T) => acc + weighted(curr)).tail + val cutoff = random.getOrElse(Random).nextDouble() * cumulativeWeight.last + val idx = cumulativeWeight.indexWhere(_ >= cutoff) + val (left, right) = it.splitAt(idx) + it(if (idx == -1) it.size - 1 else idx) #:: next(left ++ right.drop(1)) + } + } + next(items) + } + + /** + * Takes a seq of items and a weight function, returns a lazy weighted shuffle of + * the elements in the list.The weight function is based on the rank of the element + * in the original lst. + * @param items + * @param rankToWeight + * @param random + * @tparam T + * @return + */ + def weightedRandomShuffleByRank[T]( + items: Seq[T], + rankToWeight: Int => Double, + random: Option[Random] = None + ): Stream[T] = { + val candWeights = items.zipWithIndex.map { case (item, rank) => (item, rankToWeight(rank)) } + RandomUtil.weightedRandomShuffle(candWeights, random).map(_._1) + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/RescueWithStatsUtils.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/RescueWithStatsUtils.scala new file mode 100644 index 000000000..8275228d6 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/RescueWithStatsUtils.scala @@ -0,0 +1,50 @@ +package com.twitter.follow_recommendations.common.utils + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.stitch.Stitch +import com.twitter.util.Duration +import com.twitter.util.TimeoutException + +object RescueWithStatsUtils { + def rescueWithStats[T]( + s: Stitch[Seq[T]], + stats: StatsReceiver, + source: String + ): Stitch[Seq[T]] = { + StatsUtil.profileStitchSeqResults(s, stats.scope(source)).rescue { + case _: Exception => Stitch.Nil + } + } + + def rescueOptionalWithStats[T]( + s: Stitch[Option[T]], + stats: StatsReceiver, + source: String + ): Stitch[Option[T]] = { + StatsUtil.profileStitchOptionalResults(s, stats.scope(source)).rescue { + case _: Exception => Stitch.None + } + } + + def rescueWithStatsWithin[T]( + s: Stitch[Seq[T]], + stats: StatsReceiver, + source: String, + timeout: Duration + ): Stitch[Seq[T]] = { + val hydratedScopeSource = stats.scope(source) + StatsUtil + .profileStitchSeqResults( + s.within(timeout)(com.twitter.finagle.util.DefaultTimer), + hydratedScopeSource) + .rescue { + case _: TimeoutException => + hydratedScopeSource.counter("timeout").incr() + Stitch.Nil + case _: Exception => + hydratedScopeSource.counter("exception").incr() + Stitch.Nil + } + } +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/UserSignupUtil.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/UserSignupUtil.scala new file mode 100644 index 000000000..73d90a85b --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/UserSignupUtil.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.common.utils + +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.util.Duration +import com.twitter.util.Time + +object UserSignupUtil { + def signupTime(hasClientContext: HasClientContext): Option[Time] = + hasClientContext.clientContext.userId.flatMap(SnowflakeId.timeFromIdOpt) + + def userSignupAge(hasClientContext: HasClientContext): Option[Duration] = + signupTime(hasClientContext).map(Time.now - _) +} diff --git a/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/Weighted.scala b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/Weighted.scala new file mode 100644 index 000000000..adb95e5f5 --- /dev/null +++ b/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils/Weighted.scala @@ -0,0 +1,21 @@ +package com.twitter.follow_recommendations.common.utils + +/** + * Typeclass for any Recommendation type that has a weight + * + */ +trait Weighted[-Rec] { + def apply(rec: Rec): Double +} + +object Weighted { + implicit object WeightedTuple extends Weighted[(_, Double)] { + override def apply(rec: (_, Double)): Double = rec._2 + } + + def fromFunction[Rec](f: Rec => Double): Weighted[Rec] = { + new Weighted[Rec] { + override def apply(rec: Rec): Double = f(rec) + } + } +} diff --git a/follow-recommendations-service/server/src/main/resources/BUILD b/follow-recommendations-service/server/src/main/resources/BUILD new file mode 100644 index 000000000..610607ec5 --- /dev/null +++ b/follow-recommendations-service/server/src/main/resources/BUILD @@ -0,0 +1,20 @@ +resources( + sources = [ + "*.tsv", + "*.xml", + "**/*", + "config/*.yml", + ], +) + +# Created for Bazel compatibility. +# In Bazel, loose files must be part of a target to be included into a bundle. +files( + name = "frs_resources", + sources = [ + "*.tsv", + "*.xml", + "*.yml", + "**/*", + ], +) diff --git a/follow-recommendations-service/server/src/main/resources/config/decider.yml b/follow-recommendations-service/server/src/main/resources/config/decider.yml new file mode 100644 index 000000000..a46626094 --- /dev/null +++ b/follow-recommendations-service/server/src/main/resources/config/decider.yml @@ -0,0 +1,129 @@ +enable_recommendations: + comment: Proportion of requests where we return an actual response as part. Decreasing the value will increase the portion of empty responses (in order to disable the service) as part of the graceful degradation. + default_availability: 10000 +enable_score_user_candidates: + comment: Proportion of requests where score user candidates from the scoreUserCandidates endpoint + default_availability: 10000 +enable_profile_sidebar_product: + comment: Proportion of requests where we return an actual response for profile sidebar product + default_availability: 10000 +enable_magic_recs_product: + comment: Proportion of requests where we return an actual response for magic recs product + default_availability: 10000 +enable_rux_landing_page_product: + comment: Proportion of requests where we return an actual response for rux landing page product + default_availability: 10000 +enable_rux_pymk_product: + comment: Proportion of requests where we return an actual response for rux pymk product + default_availability: 10000 +enable_profile_bonus_follow_product: + comment: Proportion of requests where we return an actual response for profile bonus follow product + default_availability: 10000 +enable_election_explore_wtf_product: + comment: Proportion of requests where we return an actual response for election explore wtf product + default_availability: 10000 +enable_cluster_follow_product: + comment: Proportion of requests where we return an actual response for cluster follow product + default_availability: 10000 +enable_home_timeline_product: + comment: Proportion of requests where we return an actual response for htl wtf product + default_availability: 10000 +enable_htl_bonus_follow_product: + comment: Proportion of requests where we return an actual response for htl bonus follow product + default_availability: 10000 +enable_explore_tab_product: + comment: Proportion of requests where we return an actual response for explore tab product + default_availability: 10000 +enable_sidebar_product: + comment: Proportion of requests where we return an actual response for sidebar product + default_availability: 10000 +enable_campaign_form_product: + comment: Proportion of requests where we return an actual response for campaign form product + default_availability: 10000 +enable_reactive_follow_product: + comment: Proportion of requests where we return an actual response for reactive follow product + default_availability: 10000 +enable_nux_pymk_product: + comment: Proportion of requests where we return an actual response for nux pymk product + default_availability: 10000 +enable_nux_interests_product: + comment: Proportion of requests where we return an actual response for nux interests product + default_availability: 10000 +enable_nux_topic_bonus_follow_product: + comment: Proportion of requests where we return an actual response for nux topic-based bonus follow product + default_availability: 10000 +enable_india_covid19_curated_accounts_wtf_product: + comment: Proportion of requests where we return an actual response for india covid19 curated accounts wtf product + default_availability: 10000 +enable_ab_upload_product: + comment: Proportion of requests where we return an actual response for the address book upload product + default_availability: 10000 +enable_people_plus_plus_product: + comment: Proportion of requests where we return an actual response for the PeoplePlusPlus/Connect Tab product + default_availability: 10000 +enable_tweet_notification_recs_product: + comment: Proportion of requests where we return an actual response for the Tweet Notification Recommendations product + default_availability: 10000 +enable_profile_device_follow_product: + comment: Proportion of requests where we return an actual response for the ProfileDeviceFollow product + default_availability: 10000 +enable_diffy_module_dark_reading: + comment: Percentage of dark read traffic routed to diffy thrift + default_availability: 0 +enable_recos_backfill_product: + comment: Proportion of requests where we return an actual response for the RecosBackfill product + default_availability: 10000 +enable_post_nux_follow_task_product: + comment: Proportion of requests where we return an actual response for post NUX follow task product + default_availability: 10000 +enable_curated_space_hosts_product: + comment: Proportion of requests where we return an actual response for curated space hosts product + default_availability: 10000 +enable_nux_geo_category_product: + comment: Proportion of requests where we return an actual response for nux geo category product + default_availability: 10000 +enable_nux_interests_category_product: + comment: Proportion of requests where we return an actual response for nux interests category product + default_availability: 10000 +enable_nux_pymk_category_product: + comment: Proportion of requests where we return an actual response for nux pymk category product + default_availability: 10000 +enable_home_timeline_tweet_recs_product: + comment: Proportion of requests where we return an actual response for the Home Timeline Tweet Recs product + default_availability: 10000 +enable_htl_bulk_friend_follows_product: + comment: Proportion of requests where we return an actual response for the HTL bulk friend follows product + default_availability: 10000 +enable_nux_auto_follow_product: + comment: Proportion of requests where we return an actual response for the NUX auto follow product + default_availability: 10000 +enable_search_bonus_follow_product: + comment: Proportion of requests where we return an actual response for search bonus follow product + default_availability: 10000 +enable_fetch_user_in_request_builder: + comment: Proportion of requests where we fetch user object from gizmoduck in request builder + default_availability: 0 +enable_product_mixer_magic_recs_product: + comment: Proportion of requests where we enable the product mixer magic recs product + default_availability: 10000 +enable_home_timeline_reverse_chron_product: + comment: Proportion of requests where we return an actual response for Home timeline reverse chron product + default_availability: 10000 +enable_product_mixer_pipeline_magic_recs_dark_read: + comment: Compare product mixer pipeline responses to current FRS pipeline responses for Magic Recs + default_availability: 0 +enable_experimental_caching: + comment: Proportion of requests we use experimental caching for data caching + default_availability: 0 +enable_distributed_caching: + comment: Proportion of requests we use a distributed cache cluster for data caching + default_availability: 10000 +enable_gizmoduck_caching: + comment: Proportion of requests we use a distributed cache cluster for data caching in Gizmoduck + default_availability: 10000 +enable_traffic_dark_reading: + comment: Proportion of requests where we replicate the request for traffic dark reading + default_availability: 0 +enable_graph_feature_service_requests: + comment: Proportion of requests where we allow request calls to Graph Feature Service + default_availability: 10000 diff --git a/follow-recommendations-service/server/src/main/resources/logback.xml b/follow-recommendations-service/server/src/main/resources/logback.xml new file mode 100644 index 000000000..96348c8e4 --- /dev/null +++ b/follow-recommendations-service/server/src/main/resources/logback.xml @@ -0,0 +1,133 @@ + + + + + + + + + + + + + + + + + true + + + + + ${log.service.output} + + ${log.service.output}.%i + 1 + 5 + + + 50MB + + + %date %.-3level ${DEFAULT_SERVICE_PATTERN}%n + + + + + + ${log.access.output} + + ${log.access.output}.%i + 1 + 5 + + + 50MB + + + ${DEFAULT_ACCESS_PATTERN}%n + + + + + + true + ${log.lens.category} + ${log.lens.index} + ${log.lens.tag}/service + + %msg + + + + + + true + ${log.lens.category} + ${log.lens.index} + ${log.lens.tag}/access + + %msg + + + + + + + + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + ${async_queue_size} + ${async_max_flush_time} + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/follow-recommendations-service/server/src/main/resources/quality/stp_models/20141223/epModel b/follow-recommendations-service/server/src/main/resources/quality/stp_models/20141223/epModel new file mode 100644 index 000000000..a08d9723c --- /dev/null +++ b/follow-recommendations-service/server/src/main/resources/quality/stp_models/20141223/epModel @@ -0,0 +1,8 @@ +# OWNER = jdeng +# Date = 20141223_153423 +# Training Size = 16744473 +# Testing Size = 16767335 +# trained with ElasticNetCV alpha=0.05 cv_folds=5 best_lambda=1.0E-7 +# num base features: 10 +# num nonzero weights: 30 +{bias:-5.67151,featureMetadataMap:["fwd_email":{metadata:{featureWeight:{weight:2.47389}}},"rev_phone":{metadata:{featureWeight:{weight:1.88433}}},"mutual_follow_path":{metadata:{featureWeight:{intervalWeights:[{left:47.0,weight:6.31809},{left:11.0,right:16.0,weight:4.52959},{left:31.0,right:47.0,weight:5.7101},{right:2.0,weight:0.383515},{left:24.0,right:31.0,weight:5.26515},{left:3.0,right:4.0,weight:2.91751},{left:2.0,right:3.0,weight:2.22851},{left:4.0,right:5.0,weight:3.28515},{left:8.0,right:11.0,weight:4.14731},{left:5.0,right:8.0,weight:3.73588},{left:16.0,right:24.0,weight:4.90908}]}}},"fwd_phone":{metadata:{featureWeight:{weight:2.07327}}},"fwd_email_path":{metadata:{featureWeight:{weight:0.961773}}},"rev_phone_path":{metadata:{featureWeight:{weight:0.354484}}},"low_tweepcred_follow_path":{metadata:{featureWeight:{intervalWeights:[{left:4.0,right:5.0,weight:0.177209},{left:7.0,right:8.0,weight:0.12378},{left:3.0,right:4.0,weight:0.197566},{left:5.0,right:6.0,weight:0.15867},{left:2.0,right:3.0,weight:0.196539},{right:2.0,weight:0.1805},{left:75.0,weight:-0.424598},{left:6.0,right:7.0,weight:0.143698},{left:10.0,right:13.0,weight:0.0458502},{left:8.0,right:10.0,weight:0.0919314},{left:13.0,right:75.0,weight:-0.111484}]}}},"rev_email_path":{metadata:{featureWeight:{weight:0.654451}}},"rev_email":{metadata:{featureWeight:{weight:2.33859}}},"fwd_phone_path":{metadata:{featureWeight:{weight:0.210418}}}]} diff --git a/follow-recommendations-service/server/src/main/resources/quality/stp_models/20141223/trainingConfig b/follow-recommendations-service/server/src/main/resources/quality/stp_models/20141223/trainingConfig new file mode 100644 index 000000000..ab38990dd --- /dev/null +++ b/follow-recommendations-service/server/src/main/resources/quality/stp_models/20141223/trainingConfig @@ -0,0 +1 @@ +{input:{context:"discover.prod",startDateTime:"",endDateTime:"",trainingFeatures:["STP_FEATURES":["fwd_email","mutual_follow_path","fwd_email_path","rev_phone_path","low_tweepcred_follow_path","rev_phone","fwd_phone","rev_email_path","rev_email","fwd_phone_path"]],engagementActions:["click","favorite","open_link","open","send_tweet","send_reply","retweet","reply","profile_click","follow"],impressionActions:["discard","results","impression"],dataFormat:1,dataPath:"",isLabeled:0},sample:{positiveSampleRatio:1.0,negativeSampleRatio:1.0,sampleType:1},split:{trainingDataSplitSize:0.5,testingDataSplitSize:0.5,splitType:2},transform:{},filter:{featureOptions:[]},join:{engagementRules:["discover"],contentIdType:"tweet",groupBucketSize:3600000},discretize:{}} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/BUILD new file mode 100644 index 000000000..4dcbaab44 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/BUILD @@ -0,0 +1,48 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/org/slf4j:slf4j-api", + "finagle/finagle-http/src/main/scala", + "finagle/finagle-thriftmux/src/main/scala", + "finatra-internal/decider/src/main/scala", + "finatra-internal/international/src/main/scala/com/twitter/finatra/international/modules", + "finatra-internal/mtls-http/src/main/scala", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/http-core/src/main/java/com/twitter/finatra/http", + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-server/src/main/scala", + "finatra/inject/inject-thrift-client", + "finatra/jackson/src/main/scala/com/twitter/finatra/jackson/modules", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/addressbook", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/adserver", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/cache", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/email_storage_service", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/gizmoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/graph_feature_service", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/phone_storage_service", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/socialgraph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/strato", + "follow-recommendations-service/server/src/main/resources", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/exceptions", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "geoduck/service/src/main/scala/com/twitter/geoduck/service/common/clientmodules", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/stringcenter", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "twitter-server/server/src/main/scala", + "util/util-app/src/main/scala", + "util/util-core:scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/FollowRecommendationsServiceThriftServer.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/FollowRecommendationsServiceThriftServer.scala new file mode 100644 index 000000000..fba889c2f --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/FollowRecommendationsServiceThriftServer.scala @@ -0,0 +1,118 @@ +package com.twitter.follow_recommendations + +import com.google.inject.Module +import com.twitter.finagle.ThriftMux +import com.twitter.finatra.decider.modules.DeciderModule +import com.twitter.finatra.http.HttpServer +import com.twitter.finatra.http.routing.HttpRouter +import com.twitter.finatra.international.modules.I18nFactoryModule +import com.twitter.finatra.international.modules.LanguagesModule +import com.twitter.finatra.jackson.modules.ScalaObjectMapperModule +import com.twitter.finatra.mtls.http.{Mtls => HttpMtls} +import com.twitter.finatra.mtls.thriftmux.Mtls +import com.twitter.finatra.thrift.ThriftServer +import com.twitter.finatra.thrift.filters._ +import com.twitter.finagle.thrift.Protocols +import com.twitter.finatra.thrift.routing.ThriftRouter +import com.twitter.follow_recommendations.common.clients.addressbook.AddressbookModule +import com.twitter.follow_recommendations.common.clients.adserver.AdserverModule +import com.twitter.follow_recommendations.common.clients.cache.MemcacheModule +import com.twitter.follow_recommendations.common.clients.deepbirdv2.DeepBirdV2PredictionServiceClientModule +import com.twitter.follow_recommendations.common.clients.email_storage_service.EmailStorageServiceModule +import com.twitter.follow_recommendations.common.clients.geoduck.LocationServiceModule +import com.twitter.follow_recommendations.common.clients.gizmoduck.GizmoduckModule +import com.twitter.follow_recommendations.common.clients.graph_feature_service.GraphFeatureStoreModule +import com.twitter.follow_recommendations.common.clients.impression_store.ImpressionStoreModule +import com.twitter.follow_recommendations.common.clients.phone_storage_service.PhoneStorageServiceModule +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphModule +import com.twitter.follow_recommendations.common.clients.strato.StratoClientModule +import com.twitter.follow_recommendations.common.constants.ServiceConstants._ +import com.twitter.follow_recommendations.common.feature_hydration.sources.HydrationSourcesModule +import com.twitter.follow_recommendations.controllers.ThriftController +import com.twitter.follow_recommendations.modules._ +import com.twitter.follow_recommendations.service.exceptions.UnknownLoggingExceptionMapper +import com.twitter.follow_recommendations.services.FollowRecommendationsServiceWarmupHandler +import com.twitter.follow_recommendations.thriftscala.FollowRecommendationsThriftService +import com.twitter.geoduck.service.common.clientmodules.ReverseGeocoderThriftClientModule +import com.twitter.inject.thrift.filters.DarkTrafficFilter +import com.twitter.inject.thrift.modules.ThriftClientIdModule +import com.twitter.product_mixer.core.controllers.ProductMixerController +import com.twitter.product_mixer.core.module.PipelineExecutionLoggerModule +import com.twitter.product_mixer.core.module.product_mixer_flags.ProductMixerFlagModule +import com.twitter.product_mixer.core.module.stringcenter.ProductScopeStringCenterModule +import com.twitter.product_mixer.core.product.guice.ProductScopeModule + +object FollowRecommendationsServiceThriftServerMain extends FollowRecommendationsServiceThriftServer + +class FollowRecommendationsServiceThriftServer + extends ThriftServer + with Mtls + with HttpServer + with HttpMtls { + override val name: String = "follow-recommendations-service-server" + + override val modules: Seq[Module] = + Seq( + ABDeciderModule, + AddressbookModule, + AdserverModule, + ConfigApiModule, + DeciderModule, + DeepBirdV2PredictionServiceClientModule, + DiffyModule, + EmailStorageServiceModule, + FeaturesSwitchesModule, + FlagsModule, + GizmoduckModule, + GraphFeatureStoreModule, + HydrationSourcesModule, + I18nFactoryModule, + ImpressionStoreModule, + LanguagesModule, + LocationServiceModule, + MemcacheModule, + PhoneStorageServiceModule, + PipelineExecutionLoggerModule, + ProductMixerFlagModule, + ProductRegistryModule, + new ProductScopeModule(), + new ProductScopeStringCenterModule(), + new ReverseGeocoderThriftClientModule, + ScalaObjectMapperModule, + ScorerModule, + ScribeModule, + SocialGraphModule, + StratoClientModule, + ThriftClientIdModule, + TimerModule, + ) + + def configureThrift(router: ThriftRouter): Unit = { + router + .filter[LoggingMDCFilter] + .filter[TraceIdMDCFilter] + .filter[ThriftMDCFilter] + .filter[StatsFilter] + .filter[AccessLoggingFilter] + .filter[ExceptionMappingFilter] + .exceptionMapper[UnknownLoggingExceptionMapper] + .filter[DarkTrafficFilter[FollowRecommendationsThriftService.ReqRepServicePerEndpoint]] + .add[ThriftController] + } + + override def configureThriftServer(server: ThriftMux.Server): ThriftMux.Server = { + server.withProtocolFactory( + Protocols.binaryFactory( + stringLengthLimit = StringLengthLimit, + containerLengthLimit = ContainerLengthLimit)) + } + + override def configureHttp(router: HttpRouter): Unit = router.add( + ProductMixerController[FollowRecommendationsThriftService.MethodPerEndpoint]( + this.injector, + FollowRecommendationsThriftService.ExecutePipeline)) + + override def warmup(): Unit = { + handle[FollowRecommendationsServiceWarmupHandler]() + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Action.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Action.scala new file mode 100644 index 000000000..cd3d88967 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Action.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.assembler.models + +import com.twitter.follow_recommendations.{thriftscala => t} + +case class Action(text: String, actionURL: String) { + lazy val toThrift: t.Action = { + t.Action(text, actionURL) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/BUILD new file mode 100644 index 000000000..65d265480 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/BUILD @@ -0,0 +1,12 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "stringcenter/client", + ], + exports = [ + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Config.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Config.scala new file mode 100644 index 000000000..3346a05e1 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Config.scala @@ -0,0 +1,8 @@ +package com.twitter.follow_recommendations.assembler.models + +import com.twitter.stringcenter.client.core.ExternalString + +case class HeaderConfig(title: TitleConfig) +case class TitleConfig(text: ExternalString) +case class FooterConfig(actionConfig: Option[ActionConfig]) +case class ActionConfig(footerText: ExternalString, actionURL: String) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/FeedbackAction.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/FeedbackAction.scala new file mode 100644 index 000000000..25caa933a --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/FeedbackAction.scala @@ -0,0 +1,13 @@ +package com.twitter.follow_recommendations.assembler.models + +import com.twitter.follow_recommendations.{thriftscala => t} + +trait FeedbackAction { + def toThrift: t.FeedbackAction +} + +case class DismissUserId() extends FeedbackAction { + override lazy val toThrift: t.FeedbackAction = { + t.FeedbackAction.DismissUserId(t.DismissUserId()) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Footer.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Footer.scala new file mode 100644 index 000000000..f62368431 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Footer.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.assembler.models + +import com.twitter.follow_recommendations.{thriftscala => t} + +case class Footer(action: Option[Action]) { + lazy val toThrift: t.Footer = { + t.Footer(action.map(_.toThrift)) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Header.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Header.scala new file mode 100644 index 000000000..58c60c789 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Header.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.assembler.models + +import com.twitter.follow_recommendations.{thriftscala => t} + +case class Header(title: Title) { + lazy val toThrift: t.Header = { + t.Header(title.toThrift) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Layout.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Layout.scala new file mode 100644 index 000000000..f0dc9630a --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Layout.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.assembler.models + +sealed trait Layout + +case class UserListLayout( + header: Option[HeaderConfig], + userListOptions: UserListOptions, + socialProofs: Option[Seq[SocialProof]], + footer: Option[FooterConfig]) + extends Layout + +case class CarouselLayout( + header: Option[HeaderConfig], + carouselOptions: CarouselOptions, + socialProofs: Option[Seq[SocialProof]]) + extends Layout diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/RecommendationOptions.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/RecommendationOptions.scala new file mode 100644 index 000000000..72351e033 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/RecommendationOptions.scala @@ -0,0 +1,11 @@ +package com.twitter.follow_recommendations.assembler.models + +sealed trait RecommendationOptions + +case class UserListOptions( + userBioEnabled: Boolean, + userBioTruncated: Boolean, + userBioMaxLines: Option[Long], +) extends RecommendationOptions + +case class CarouselOptions() extends RecommendationOptions diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/SocialProof.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/SocialProof.scala new file mode 100644 index 000000000..fd5878af8 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/SocialProof.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.assembler.models + +import com.twitter.stringcenter.client.core.ExternalString + +sealed trait SocialProof + +case class GeoContextProof(popularInCountryText: ExternalString) extends SocialProof +case class FollowedByUsersProof(text1: ExternalString, text2: ExternalString, textN: ExternalString) + extends SocialProof + +sealed trait SocialText { + def text: String +} + +case class GeoSocialText(text: String) extends SocialText +case class FollowedByUsersText(text: String) extends SocialText diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Title.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Title.scala new file mode 100644 index 000000000..3d128e7c8 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/Title.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.assembler.models + +import com.twitter.follow_recommendations.{thriftscala => t} + +case class Title(text: String) { + lazy val toThrift: t.Title = { + t.Title(text) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/WTFPresentation.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/WTFPresentation.scala new file mode 100644 index 000000000..7cfda1846 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models/WTFPresentation.scala @@ -0,0 +1,47 @@ +package com.twitter.follow_recommendations.assembler.models + +import com.twitter.follow_recommendations.{thriftscala => t} + +trait WTFPresentation { + def toThrift: t.WTFPresentation +} + +case class UserList( + userBioEnabled: Boolean, + userBioTruncated: Boolean, + userBioMaxLines: Option[Long], + feedbackAction: Option[FeedbackAction]) + extends WTFPresentation { + def toThrift: t.WTFPresentation = { + t.WTFPresentation.UserBioList( + t.UserList(userBioEnabled, userBioTruncated, userBioMaxLines, feedbackAction.map(_.toThrift))) + } +} + +object UserList { + def fromUserListOptions( + userListOptions: UserListOptions + ): UserList = { + UserList( + userListOptions.userBioEnabled, + userListOptions.userBioTruncated, + userListOptions.userBioMaxLines, + None) + } +} + +case class Carousel( + feedbackAction: Option[FeedbackAction]) + extends WTFPresentation { + def toThrift: t.WTFPresentation = { + t.WTFPresentation.Carousel(t.Carousel(feedbackAction.map(_.toThrift))) + } +} + +object Carousel { + def fromCarouselOptions( + carouselOptions: CarouselOptions + ): Carousel = { + Carousel(None) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders/BUILD new file mode 100644 index 000000000..81d912a99 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders/BUILD @@ -0,0 +1,16 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders/PromotedAccountsBlender.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders/PromotedAccountsBlender.scala new file mode 100644 index 000000000..8516de53d --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders/PromotedAccountsBlender.scala @@ -0,0 +1,138 @@ +package com.twitter.follow_recommendations.blenders + +import com.google.common.annotations.VisibleForTesting +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.models.AdMetadata +import com.twitter.follow_recommendations.common.models.Recommendation +import com.twitter.inject.Logging +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PromotedAccountsBlender @Inject() (statsReceiver: StatsReceiver) + extends Transform[Int, Recommendation] + with Logging { + + import PromotedAccountsBlender._ + val stats = statsReceiver.scope(Name) + val inputOrganicAccounts = stats.counter(InputOrganic) + val inputPromotedAccounts = stats.counter(InputPromoted) + val outputOrganicAccounts = stats.counter(OutputOrganic) + val outputPromotedAccounts = stats.counter(OutputPromoted) + val promotedAccountsStats = stats.scope(NumPromotedAccounts) + + override def transform( + maxResults: Int, + items: Seq[Recommendation] + ): Stitch[Seq[Recommendation]] = { + val (promoted, organic) = items.partition(_.isPromotedAccount) + val promotedIds = promoted.map(_.id).toSet + val dedupedOrganic = organic.filterNot(u => promotedIds.contains(u.id)) + val blended = blendPromotedAccount(dedupedOrganic, promoted, maxResults) + val (outputPromoted, outputOrganic) = blended.partition(_.isPromotedAccount) + inputOrganicAccounts.incr(dedupedOrganic.size) + inputPromotedAccounts.incr(promoted.size) + outputOrganicAccounts.incr(outputOrganic.size) + val size = outputPromoted.size + outputPromotedAccounts.incr(size) + if (size <= 5) { + promotedAccountsStats.counter(outputPromoted.size.toString).incr() + } else { + promotedAccountsStats.counter(MoreThan5Promoted).incr() + } + Stitch.value(blended) + } + + /** + * Merge Promoted results and organic results. Promoted result dictates the position + * in the merge list. + * + * merge a list of positioned users, aka. promoted, and a list of organic + * users. The positioned promoted users are pre-sorted with regards to their + * position ascendingly. Only requirement about position is to be within the + * range, i.e, can not exceed the combined length if merge is successful, ok + * to be at the last position, but not beyond. + * For more detailed description of location position: + * http://confluence.local.twitter.com/display/ADS/Promoted+Tweets+in+Timeline+Design+Document + */ + @VisibleForTesting + private[blenders] def mergePromotedAccounts( + organicUsers: Seq[Recommendation], + promotedUsers: Seq[Recommendation] + ): Seq[Recommendation] = { + def mergeAccountWithIndex( + organicUsers: Seq[Recommendation], + promotedUsers: Seq[Recommendation], + index: Int + ): Stream[Recommendation] = { + if (promotedUsers.isEmpty) organicUsers.toStream + else { + val promotedHead = promotedUsers.head + val promotedTail = promotedUsers.tail + promotedHead.adMetadata match { + case Some(AdMetadata(position, _)) => + if (position < 0) mergeAccountWithIndex(organicUsers, promotedTail, index) + else if (position == index) + promotedHead #:: mergeAccountWithIndex(organicUsers, promotedTail, index) + else if (organicUsers.isEmpty) organicUsers.toStream + else { + val organicHead = organicUsers.head + val organicTail = organicUsers.tail + organicHead #:: mergeAccountWithIndex(organicTail, promotedUsers, index + 1) + } + case _ => + logger.error("Unknown Candidate type in mergePromotedAccounts") + Stream.empty + } + } + } + + mergeAccountWithIndex(organicUsers, promotedUsers, 0) + } + + private[this] def blendPromotedAccount( + organic: Seq[Recommendation], + promoted: Seq[Recommendation], + maxResults: Int + ): Seq[Recommendation] = { + + val merged = mergePromotedAccounts(organic, promoted) + val mergedServed = merged.take(maxResults) + val promotedServed = promoted.intersect(mergedServed) + + if (isBlendPromotedNeeded( + mergedServed.size - promotedServed.size, + promotedServed.size, + maxResults + )) { + mergedServed + } else { + organic.take(maxResults) + } + } + + @VisibleForTesting + private[blenders] def isBlendPromotedNeeded( + organicSize: Int, + promotedSize: Int, + maxResults: Int + ): Boolean = { + (organicSize > 1) && + (promotedSize > 0) && + (promotedSize < organicSize) && + (promotedSize <= 2) && + (maxResults > 1) + } +} + +object PromotedAccountsBlender { + val Name = "promoted_accounts_blender" + val InputOrganic = "input_organic_accounts" + val InputPromoted = "input_promoted_accounts" + val OutputOrganic = "output_organic_accounts" + val OutputPromoted = "output_promoted_accounts" + val NumPromotedAccounts = "num_promoted_accounts" + val MoreThan5Promoted = "more_than_5" +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/BUILD new file mode 100644 index 000000000..f64fcda69 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/BUILD @@ -0,0 +1,28 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "configapi/configapi-core", + "configapi/configapi-decider", + "configapi/configapi-featureswitches:v2", + "featureswitches/featureswitches-core", + "featureswitches/featureswitches-core:v2", + "featureswitches/featureswitches-core/src/main/scala/com/twitter/featureswitches/v2/builder", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/ConfigBuilder.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/ConfigBuilder.scala new file mode 100644 index 000000000..818f4402c --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/ConfigBuilder.scala @@ -0,0 +1,16 @@ +package com.twitter.follow_recommendations.configapi + +import com.twitter.timelines.configapi.CompositeConfig +import com.twitter.timelines.configapi.Config +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ConfigBuilder @Inject() ( + deciderConfigs: DeciderConfigs, + featureSwitchConfigs: FeatureSwitchConfigs) { + // The order of configs added to `CompositeConfig` is important. The config will be matched with + // the first possible rule. So, current setup will give priority to Deciders instead of FS + def build(): Config = + new CompositeConfig(Seq(deciderConfigs.config, featureSwitchConfigs.config)) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/DeciderConfigs.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/DeciderConfigs.scala new file mode 100644 index 000000000..0154a1703 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/DeciderConfigs.scala @@ -0,0 +1,52 @@ +package com.twitter.follow_recommendations.configapi + +import com.twitter.decider.Recipient +import com.twitter.decider.SimpleRecipient +import com.twitter.follow_recommendations.configapi.deciders.DeciderKey +import com.twitter.follow_recommendations.configapi.deciders.DeciderParams +import com.twitter.follow_recommendations.products.home_timeline_tweet_recs.configapi.HomeTimelineTweetRecsParams +import com.twitter.servo.decider.DeciderGateBuilder +import com.twitter.timelines.configapi._ +import com.twitter.timelines.configapi.decider.DeciderSwitchOverrideValue +import com.twitter.timelines.configapi.decider.GuestRecipient +import com.twitter.timelines.configapi.decider.RecipientBuilder +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class DeciderConfigs @Inject() (deciderGateBuilder: DeciderGateBuilder) { + val overrides: Seq[OptionalOverride[_]] = DeciderConfigs.ParamsToDeciderMap.map { + case (params, deciderKey) => + params.optionalOverrideValue( + DeciderSwitchOverrideValue( + feature = deciderGateBuilder.keyToFeature(deciderKey), + enabledValue = true, + recipientBuilder = DeciderConfigs.UserOrGuestOrRequest + ) + ) + }.toSeq + + val config: BaseConfig = BaseConfigBuilder(overrides).build("FollowRecommendationServiceDeciders") +} + +object DeciderConfigs { + val ParamsToDeciderMap = Map( + DeciderParams.EnableRecommendations -> DeciderKey.EnableRecommendations, + DeciderParams.EnableScoreUserCandidates -> DeciderKey.EnableScoreUserCandidates, + HomeTimelineTweetRecsParams.EnableProduct -> DeciderKey.EnableHomeTimelineTweetRecsProduct, + ) + + object UserOrGuestOrRequest extends RecipientBuilder { + + def apply(requestContext: BaseRequestContext): Option[Recipient] = requestContext match { + case c: WithUserId if c.userId.isDefined => + c.userId.map(SimpleRecipient) + case c: WithGuestId if c.guestId.isDefined => + c.guestId.map(GuestRecipient) + case c: WithGuestId => + RecipientBuilder.Request(c) + case _ => + throw new UndefinedUserIdNorGuestIDException(requestContext) + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/FeatureSwitchConfigs.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/FeatureSwitchConfigs.scala new file mode 100644 index 000000000..c7f7f6d9e --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/FeatureSwitchConfigs.scala @@ -0,0 +1,138 @@ +package com.twitter.follow_recommendations.configapi + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.candidate_sources.base.SocialProofEnforcedCandidateSourceFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts.CrowdSearchAccountsFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeoQualityFollowSourceFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.top_organic_follows_accounts.TopOrganicFollowsAccountsFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeoSourceFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow.PPMILocaleFollowSourceFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.real_graph.RealGraphOonFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.recent_engagement.RepeatedProfileVisitsFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.sims.SimsSourceFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentEngagementSimilarUsersFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.SimsExpansionFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.socialgraph.RecentFollowingRecentFollowingExpansionSourceFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.stp.OfflineStpSourceFsConfig +import com.twitter.follow_recommendations.common.candidate_sources.stp.OnlineSTPSourceFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.triangular_loops.TriangularLoopsFSConfig +import com.twitter.follow_recommendations.common.candidate_sources.user_user_graph.UserUserGraphFSConfig +import com.twitter.follow_recommendations.common.feature_hydration.sources.FeatureHydrationSourcesFSConfig +import com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker.WeightedCandidateSourceRankerFSConfig +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.follow_recommendations.flows.content_recommender_flow.ContentRecommenderFlowFSConfig +import com.twitter.follow_recommendations.common.predicates.gizmoduck.GizmoduckPredicateFSConfig +import com.twitter.follow_recommendations.common.predicates.hss.HssPredicateFSConfig +import com.twitter.follow_recommendations.common.predicates.sgs.SgsPredicateFSConfig +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlFlowFSConfig +import com.twitter.logging.Logger +import com.twitter.timelines.configapi.BaseConfigBuilder +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class FeatureSwitchConfigs @Inject() ( + globalFeatureSwitchConfig: GlobalFeatureSwitchConfig, + featureHydrationSourcesFSConfig: FeatureHydrationSourcesFSConfig, + weightedCandidateSourceRankerFSConfig: WeightedCandidateSourceRankerFSConfig, + // Flow related config + contentRecommenderFlowFSConfig: ContentRecommenderFlowFSConfig, + postNuxMlFlowFSConfig: PostNuxMlFlowFSConfig, + // Candidate source related config + crowdSearchAccountsFSConfig: CrowdSearchAccountsFSConfig, + offlineStpSourceFsConfig: OfflineStpSourceFsConfig, + onlineSTPSourceFSConfig: OnlineSTPSourceFSConfig, + popGeoSourceFSConfig: PopGeoSourceFSConfig, + popGeoQualityFollowFSConfig: PopGeoQualityFollowSourceFSConfig, + realGraphOonFSConfig: RealGraphOonFSConfig, + repeatedProfileVisitsFSConfig: RepeatedProfileVisitsFSConfig, + recentEngagementSimilarUsersFSConfig: RecentEngagementSimilarUsersFSConfig, + recentFollowingRecentFollowingExpansionSourceFSConfig: RecentFollowingRecentFollowingExpansionSourceFSConfig, + simsExpansionFSConfig: SimsExpansionFSConfig, + simsSourceFSConfig: SimsSourceFSConfig, + socialProofEnforcedCandidateSourceFSConfig: SocialProofEnforcedCandidateSourceFSConfig, + triangularLoopsFSConfig: TriangularLoopsFSConfig, + userUserGraphFSConfig: UserUserGraphFSConfig, + // Predicate related configs + gizmoduckPredicateFSConfig: GizmoduckPredicateFSConfig, + hssPredicateFSConfig: HssPredicateFSConfig, + sgsPredicateFSConfig: SgsPredicateFSConfig, + ppmiLocaleSourceFSConfig: PPMILocaleFollowSourceFSConfig, + topOrganicFollowsAccountsFSConfig: TopOrganicFollowsAccountsFSConfig, + statsReceiver: StatsReceiver) { + + val logger = Logger(classOf[FeatureSwitchConfigs]) + + val mergedFSConfig = + FeatureSwitchConfig.merge( + Seq( + globalFeatureSwitchConfig, + featureHydrationSourcesFSConfig, + weightedCandidateSourceRankerFSConfig, + // Flow related config + contentRecommenderFlowFSConfig, + postNuxMlFlowFSConfig, + // Candidate source related config + crowdSearchAccountsFSConfig, + offlineStpSourceFsConfig, + onlineSTPSourceFSConfig, + popGeoSourceFSConfig, + popGeoQualityFollowFSConfig, + realGraphOonFSConfig, + repeatedProfileVisitsFSConfig, + recentEngagementSimilarUsersFSConfig, + recentFollowingRecentFollowingExpansionSourceFSConfig, + simsExpansionFSConfig, + simsSourceFSConfig, + socialProofEnforcedCandidateSourceFSConfig, + triangularLoopsFSConfig, + userUserGraphFSConfig, + // Predicate related configs: + gizmoduckPredicateFSConfig, + hssPredicateFSConfig, + sgsPredicateFSConfig, + ppmiLocaleSourceFSConfig, + topOrganicFollowsAccountsFSConfig, + ) + ) + + /** + * enum params have to be listed in this main file together as otherwise we'll have to pass in + * some signature like `Seq[FSEnumParams[_]]` which are generics of generics and won't compile. + * we only have enumFsParams from globalFeatureSwitchConfig at the moment + */ + val enumOverrides = globalFeatureSwitchConfig.enumFsParams.flatMap { enumParam => + FeatureSwitchOverrideUtil.getEnumFSOverrides(statsReceiver, logger, enumParam) + } + + val gatedOverrides = mergedFSConfig.gatedOverridesMap.flatMap { + case (fsName, overrides) => + FeatureSwitchOverrideUtil.gatedOverrides(fsName, overrides: _*) + } + + val enumSeqOverrides = globalFeatureSwitchConfig.enumSeqFsParams.flatMap { enumSeqParam => + FeatureSwitchOverrideUtil.getEnumSeqFSOverrides(statsReceiver, logger, enumSeqParam) + } + + val overrides = + FeatureSwitchOverrideUtil + .getBooleanFSOverrides(mergedFSConfig.booleanFSParams: _*) ++ + FeatureSwitchOverrideUtil + .getBoundedIntFSOverrides(mergedFSConfig.intFSParams: _*) ++ + FeatureSwitchOverrideUtil + .getBoundedLongFSOverrides(mergedFSConfig.longFSParams: _*) ++ + FeatureSwitchOverrideUtil + .getBoundedDoubleFSOverrides(mergedFSConfig.doubleFSParams: _*) ++ + FeatureSwitchOverrideUtil + .getDurationFSOverrides(mergedFSConfig.durationFSParams: _*) ++ + FeatureSwitchOverrideUtil + .getBoundedOptionalDoubleOverrides(mergedFSConfig.optionalDoubleFSParams: _*) ++ + FeatureSwitchOverrideUtil.getStringSeqFSOverrides(mergedFSConfig.stringSeqFSParams: _*) ++ + enumOverrides ++ + gatedOverrides ++ + enumSeqOverrides + + val config = BaseConfigBuilder(overrides).build("FollowRecommendationServiceFeatureSwitches") +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/GlobalFeatureSwitchConfig.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/GlobalFeatureSwitchConfig.scala new file mode 100644 index 000000000..537ed660c --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/GlobalFeatureSwitchConfig.scala @@ -0,0 +1,49 @@ +package com.twitter.follow_recommendations.configapi + +import com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts.CrowdSearchAccountsParams.AccountsFilteringAndRankingLogics +import com.twitter.follow_recommendations.common.candidate_sources.top_organic_follows_accounts.TopOrganicFollowsAccountsParams.{ + AccountsFilteringAndRankingLogics => OrganicAccountsFilteringAndRankingLogics +} +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentEngagementSimilarUsersParams +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.SimsExpansionSourceParams +import com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking.MlRankerParams.CandidateScorerIdParam +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.follow_recommendations.configapi.params.GlobalParams.CandidateSourcesToFilter +import com.twitter.follow_recommendations.configapi.params.GlobalParams.EnableCandidateParamHydrations +import com.twitter.follow_recommendations.configapi.params.GlobalParams.EnableGFSSocialProofTransform +import com.twitter.follow_recommendations.configapi.params.GlobalParams.EnableRecommendationFlowLogs +import com.twitter.follow_recommendations.configapi.params.GlobalParams.EnableWhoToFollowProducts +import com.twitter.follow_recommendations.configapi.params.GlobalParams.KeepSocialUserCandidate +import com.twitter.follow_recommendations.configapi.params.GlobalParams.KeepUserCandidate +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class GlobalFeatureSwitchConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = { + Seq( + EnableCandidateParamHydrations, + KeepUserCandidate, + KeepSocialUserCandidate, + EnableGFSSocialProofTransform, + EnableWhoToFollowProducts, + EnableRecommendationFlowLogs + ) + } + + val enumFsParams = + Seq( + CandidateScorerIdParam, + SimsExpansionSourceParams.Aggregator, + RecentEngagementSimilarUsersParams.Aggregator, + CandidateSourcesToFilter, + ) + + val enumSeqFsParams = + Seq( + AccountsFilteringAndRankingLogics, + OrganicAccountsFilteringAndRankingLogics + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/ParamsFactory.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/ParamsFactory.scala new file mode 100644 index 000000000..847d69962 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/ParamsFactory.scala @@ -0,0 +1,29 @@ +package com.twitter.follow_recommendations.configapi + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.servo.util.MemoizingStatsReceiver +import com.twitter.timelines.configapi.Config +import com.twitter.timelines.configapi.FeatureValue +import com.twitter.timelines.configapi.Params +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ParamsFactory @Inject() ( + config: Config, + requestContextFactory: RequestContextFactory, + statsReceiver: StatsReceiver) { + + private val stats = new MemoizingStatsReceiver(statsReceiver.scope("configapi")) + def apply(followRecommendationServiceRequestContext: RequestContext): Params = + config(followRecommendationServiceRequestContext, stats) + + def apply( + clientContext: ClientContext, + displayLocation: DisplayLocation, + featureOverrides: Map[String, FeatureValue] + ): Params = + apply(requestContextFactory(clientContext, displayLocation, featureOverrides)) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/RequestContext.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/RequestContext.scala new file mode 100644 index 000000000..ebc8abf3c --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/RequestContext.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.configapi + +import com.twitter.timelines.configapi.BaseRequestContext +import com.twitter.timelines.configapi.FeatureContext +import com.twitter.timelines.configapi.NullFeatureContext +import com.twitter.timelines.configapi.GuestId +import com.twitter.timelines.configapi.UserId +import com.twitter.timelines.configapi.WithFeatureContext +import com.twitter.timelines.configapi.WithGuestId +import com.twitter.timelines.configapi.WithUserId + +case class RequestContext( + userId: Option[UserId], + guestId: Option[GuestId], + featureContext: FeatureContext = NullFeatureContext) + extends BaseRequestContext + with WithUserId + with WithGuestId + with WithFeatureContext diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/RequestContextFactory.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/RequestContextFactory.scala new file mode 100644 index 000000000..89d8617a3 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/RequestContextFactory.scala @@ -0,0 +1,74 @@ +package com.twitter.follow_recommendations.configapi + +import com.google.common.annotations.VisibleForTesting +import com.google.inject.Inject +import com.twitter.decider.Decider +import com.twitter.featureswitches.v2.FeatureSwitches +import com.twitter.featureswitches.{Recipient => FeatureSwitchRecipient} +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.timelines.configapi.FeatureContext +import com.twitter.timelines.configapi.FeatureValue +import com.twitter.timelines.configapi.ForcedFeatureContext +import com.twitter.timelines.configapi.OrElseFeatureContext +import com.twitter.timelines.configapi.featureswitches.v2.FeatureSwitchResultsFeatureContext +import javax.inject.Singleton + +/* + * Request Context Factory is used to build RequestContext objects which are used + * by the config api to determine the param overrides to apply to the request. + * The param overrides are determined per request by configs which specify which + * FS/Deciders/AB translate to what param overrides. + */ +@Singleton +class RequestContextFactory @Inject() (featureSwitches: FeatureSwitches, decider: Decider) { + def apply( + clientContext: ClientContext, + displayLocation: DisplayLocation, + featureOverrides: Map[String, FeatureValue] + ): RequestContext = { + val featureContext = getFeatureContext(clientContext, displayLocation, featureOverrides) + RequestContext(clientContext.userId, clientContext.guestId, featureContext) + } + + private[configapi] def getFeatureContext( + clientContext: ClientContext, + displayLocation: DisplayLocation, + featureOverrides: Map[String, FeatureValue] + ): FeatureContext = { + val recipient = + getFeatureSwitchRecipient(clientContext) + .withCustomFields("display_location" -> displayLocation.toFsName) + + // userAgeOpt is going to be set to None for logged out users and defaulted to Some(Int.MaxValue) for non-snowflake users + val userAgeOpt = clientContext.userId.map { userId => + SnowflakeId.timeFromIdOpt(userId).map(_.untilNow.inDays).getOrElse(Int.MaxValue) + } + val recipientWithAccountAge = + userAgeOpt + .map(age => recipient.withCustomFields("account_age_in_days" -> age)).getOrElse(recipient) + + val results = featureSwitches.matchRecipient(recipientWithAccountAge) + OrElseFeatureContext( + ForcedFeatureContext(featureOverrides), + new FeatureSwitchResultsFeatureContext(results)) + } + + @VisibleForTesting + private[configapi] def getFeatureSwitchRecipient( + clientContext: ClientContext + ): FeatureSwitchRecipient = { + FeatureSwitchRecipient( + userId = clientContext.userId, + userRoles = clientContext.userRoles, + deviceId = clientContext.deviceId, + guestId = clientContext.guestId, + languageCode = clientContext.languageCode, + countryCode = clientContext.countryCode, + isVerified = None, + clientApplicationId = clientContext.appId, + isTwoffice = clientContext.isTwoffice + ) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/BUILD new file mode 100644 index 000000000..5470c9bf4 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/BUILD @@ -0,0 +1,18 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "configapi/configapi-core", + "configapi/configapi-decider", + "configapi/configapi-featureswitches:v2", + "featureswitches/featureswitches-core", + "featureswitches/featureswitches-core:v2", + "featureswitches/featureswitches-core/src/main/scala/com/twitter/featureswitches/v2/builder", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserContext.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserContext.scala new file mode 100644 index 000000000..6b954a911 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserContext.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.configapi.candidates + +import com.twitter.timelines.configapi.BaseRequestContext +import com.twitter.timelines.configapi.FeatureContext +import com.twitter.timelines.configapi.NullFeatureContext +import com.twitter.timelines.configapi.WithFeatureContext +import com.twitter.timelines.configapi.WithUserId + +/** + * represent the context for a recommendation candidate (producer side) + * @param userId id of the recommended user + * @param featureContext feature context + */ +case class CandidateUserContext( + override val userId: Option[Long], + featureContext: FeatureContext = NullFeatureContext) + extends BaseRequestContext + with WithUserId + with WithFeatureContext diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserContextFactory.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserContextFactory.scala new file mode 100644 index 000000000..4f30cf17a --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserContextFactory.scala @@ -0,0 +1,55 @@ +package com.twitter.follow_recommendations.configapi.candidates + +import com.google.common.annotations.VisibleForTesting +import com.google.inject.Inject +import com.twitter.decider.Decider +import com.twitter.featureswitches.v2.FeatureSwitches +import com.twitter.featureswitches.{Recipient => FeatureSwitchRecipient} +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants.PRODUCER_SIDE_FEATURE_SWITCHES +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.timelines.configapi.FeatureContext +import com.twitter.timelines.configapi.featureswitches.v2.FeatureSwitchResultsFeatureContext +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class CandidateUserContextFactory @Inject() ( + @Named(PRODUCER_SIDE_FEATURE_SWITCHES) featureSwitches: FeatureSwitches, + decider: Decider) { + def apply( + candidateUser: CandidateUser, + displayLocation: DisplayLocation + ): CandidateUserContext = { + val featureContext = getFeatureContext(candidateUser, displayLocation) + + CandidateUserContext(Some(candidateUser.id), featureContext) + } + + private[configapi] def getFeatureContext( + candidateUser: CandidateUser, + displayLocation: DisplayLocation + ): FeatureContext = { + + val recipient = getFeatureSwitchRecipient(candidateUser).withCustomFields( + "display_location" -> displayLocation.toFsName) + new FeatureSwitchResultsFeatureContext(featureSwitches.matchRecipient(recipient)) + } + + @VisibleForTesting + private[configapi] def getFeatureSwitchRecipient( + candidateUser: CandidateUser + ): FeatureSwitchRecipient = { + FeatureSwitchRecipient( + userId = Some(candidateUser.id), + userRoles = None, + deviceId = None, + guestId = None, + languageCode = None, + countryCode = None, + isVerified = None, + clientApplicationId = None, + isTwoffice = None + ) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserParamsFactory.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserParamsFactory.scala new file mode 100644 index 000000000..5afd09a63 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/CandidateUserParamsFactory.scala @@ -0,0 +1,35 @@ +package com.twitter.follow_recommendations.configapi.candidates + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.configapi.params.GlobalParams +import com.twitter.servo.util.MemoizingStatsReceiver +import com.twitter.timelines.configapi.Config +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params +import javax.inject.Inject +import javax.inject.Singleton + +/** + * CandidateParamsFactory is primarily used for "producer side" experiments, don't use it on consumer side experiments + */ +@Singleton +class CandidateUserParamsFactory[T <: HasParams with HasDisplayLocation] @Inject() ( + config: Config, + candidateContextFactory: CandidateUserContextFactory, + statsReceiver: StatsReceiver) { + private val stats = new MemoizingStatsReceiver(statsReceiver.scope("configapi_candidate_params")) + def apply(candidateContext: CandidateUser, request: T): CandidateUser = { + if (candidateContext.params == Params.Invalid) { + if (request.params(GlobalParams.EnableCandidateParamHydrations)) { + candidateContext.copy(params = + config(candidateContextFactory(candidateContext, request.displayLocation), stats)) + } else { + candidateContext.copy(params = Params.Empty) + } + } else { + candidateContext + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/HydrateCandidateParamsTransform.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/HydrateCandidateParamsTransform.scala new file mode 100644 index 000000000..deadd1d70 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates/HydrateCandidateParamsTransform.scala @@ -0,0 +1,21 @@ +package com.twitter.follow_recommendations.configapi.candidates + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.logging.Logging + +@Singleton +class HydrateCandidateParamsTransform[Target <: HasParams with HasDisplayLocation] @Inject() ( + candidateParamsFactory: CandidateUserParamsFactory[Target]) + extends Transform[Target, CandidateUser] + with Logging { + + def transform(target: Target, candidates: Seq[CandidateUser]): Stitch[Seq[CandidateUser]] = { + Stitch.value(candidates.map(candidateParamsFactory.apply(_, target))) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common/BUILD new file mode 100644 index 000000000..6fee24f89 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common/BUILD @@ -0,0 +1,8 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common/FeatureSwitchConfig.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common/FeatureSwitchConfig.scala new file mode 100644 index 000000000..798b02670 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common/FeatureSwitchConfig.scala @@ -0,0 +1,60 @@ +package com.twitter.follow_recommendations.configapi.common + +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil.DefinedFeatureName +import com.twitter.timelines.configapi.FeatureSwitchOverrideUtil.ValueFeatureName +import com.twitter.timelines.configapi.BoundedParam +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.OptionalOverride +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +trait FeatureSwitchConfig { + def booleanFSParams: Seq[Param[Boolean] with FSName] = Nil + + def intFSParams: Seq[FSBoundedParam[Int]] = Nil + + def longFSParams: Seq[FSBoundedParam[Long]] = Nil + + def doubleFSParams: Seq[FSBoundedParam[Double]] = Nil + + def durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = Nil + + def optionalDoubleFSParams: Seq[ + (BoundedParam[Option[Double]], DefinedFeatureName, ValueFeatureName) + ] = Nil + + def stringSeqFSParams: Seq[Param[Seq[String]] with FSName] = Nil + + /** + * Apply overrides in list when the given FS Key is enabled. + * This override type does NOT work with experiments. Params here will be evaluated for every + * request IMMEDIATELY, not upon param.apply. If you would like to use an experiment pls use + * the primitive type or ENUM overrides. + */ + def gatedOverridesMap: Map[String, Seq[OptionalOverride[_]]] = Map.empty +} + +object FeatureSwitchConfig { + def merge(configs: Seq[FeatureSwitchConfig]): FeatureSwitchConfig = new FeatureSwitchConfig { + override def booleanFSParams: Seq[Param[Boolean] with FSName] = + configs.flatMap(_.booleanFSParams) + override def intFSParams: Seq[FSBoundedParam[Int]] = + configs.flatMap(_.intFSParams) + override def longFSParams: Seq[FSBoundedParam[Long]] = + configs.flatMap(_.longFSParams) + override def durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = + configs.flatMap(_.durationFSParams) + override def gatedOverridesMap: Map[String, Seq[OptionalOverride[_]]] = + configs.flatMap(_.gatedOverridesMap).toMap + override def doubleFSParams: Seq[FSBoundedParam[Double]] = + configs.flatMap(_.doubleFSParams) + override def optionalDoubleFSParams: Seq[ + (BoundedParam[Option[Double]], DefinedFeatureName, ValueFeatureName) + ] = + configs.flatMap(_.optionalDoubleFSParams) + override def stringSeqFSParams: Seq[Param[Seq[String]] with FSName] = + configs.flatMap(_.stringSeqFSParams) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/BUILD new file mode 100644 index 000000000..e4982dc0f --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/BUILD @@ -0,0 +1,10 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "configapi/configapi-core", + "configapi/configapi-decider", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/DeciderKey.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/DeciderKey.scala new file mode 100644 index 000000000..f4c069a63 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/DeciderKey.scala @@ -0,0 +1,51 @@ +package com.twitter.follow_recommendations.configapi.deciders + +import com.twitter.servo.decider.DeciderKeyEnum + +object DeciderKey extends DeciderKeyEnum { + val EnableDiffyModuleDarkReading = Value("enable_diffy_module_dark_reading") + val EnableRecommendations = Value("enable_recommendations") + val EnableScoreUserCandidates = Value("enable_score_user_candidates") + val EnableProfileSidebarProduct = Value("enable_profile_sidebar_product") + val EnableMagicRecsProduct = Value("enable_magic_recs_product") + val EnableRuxLandingPageProduct = Value("enable_rux_landing_page_product") + val EnableRuxPymkProduct = Value("enable_rux_pymk_product") + val EnableProfileBonusFollowProduct = Value("enable_profile_bonus_follow_product") + val EnableElectionExploreWtfProduct = Value("enable_election_explore_wtf_product") + val EnableClusterFollowProduct = Value("enable_cluster_follow_product") + val EnableHomeTimelineProduct = Value("enable_home_timeline_product") + val EnableHtlBonusFollowProduct = Value("enable_htl_bonus_follow_product") + val EnableExploreTabProduct = Value("enable_explore_tab_product") + val EnableSidebarProduct = Value("enable_sidebar_product") + val EnableNuxPymkProduct = Value("enable_nux_pymk_product") + val EnableNuxInterestsProduct = Value("enable_nux_interests_product") + val EnableNuxTopicBonusFollowProduct = Value("enable_nux_topic_bonus_follow_product") + val EnableCampaignFormProduct = Value("enable_campaign_form_product") + val EnableReactiveFollowProduct = Value("enable_reactive_follow_product") + val EnableIndiaCovid19CuratedAccountsWtfProduct = Value( + "enable_india_covid19_curated_accounts_wtf_product") + val EnableAbUploadProduct = Value("enable_ab_upload_product") + val EnablePeolePlusPlusProduct = Value("enable_people_plus_plus_product") + val EnableTweetNotificationRecsProduct = Value("enable_tweet_notification_recs_product") + val EnableProfileDeviceFollow = Value("enable_profile_device_follow_product") + val EnableRecosBackfillProduct = Value("enable_recos_backfill_product") + val EnablePostNuxFollowTaskProduct = Value("enable_post_nux_follow_task_product") + val EnableCuratedSpaceHostsProduct = Value("enable_curated_space_hosts_product") + val EnableNuxGeoCategoryProduct = Value("enable_nux_geo_category_product") + val EnableNuxInterestsCategoryProduct = Value("enable_nux_interests_category_product") + val EnableNuxPymkCategoryProduct = Value("enable_nux_pymk_category_product") + val EnableHomeTimelineTweetRecsProduct = Value("enable_home_timeline_tweet_recs_product") + val EnableHtlBulkFriendFollowsProduct = Value("enable_htl_bulk_friend_follows_product") + val EnableNuxAutoFollowProduct = Value("enable_nux_auto_follow_product") + val EnableSearchBonusFollowProduct = Value("enable_search_bonus_follow_product") + val EnableFetchUserInRequestBuilder = Value("enable_fetch_user_in_request_builder") + val EnableProductMixerMagicRecsProduct = Value("enable_product_mixer_magic_recs_product") + val EnableHomeTimelineReverseChronProduct = Value("enable_home_timeline_reverse_chron_product") + val EnableProductMixerPipelineMagicRecsDarkRead = Value( + "enable_product_mixer_pipeline_magic_recs_dark_read") + val EnableExperimentalCaching = Value("enable_experimental_caching") + val EnableDistributedCaching = Value("enable_distributed_caching") + val EnableGizmoduckCaching = Value("enable_gizmoduck_caching") + val EnableTrafficDarkReading = Value("enable_traffic_dark_reading") + val EnableGraphFeatureServiceRequests = Value("enable_graph_feature_service_requests") +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/DeciderParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/DeciderParams.scala new file mode 100644 index 000000000..07bf3e14d --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders/DeciderParams.scala @@ -0,0 +1,8 @@ +package com.twitter.follow_recommendations.configapi.deciders + +import com.twitter.timelines.configapi.Param + +object DeciderParams { + object EnableRecommendations extends Param[Boolean](false) + object EnableScoreUserCandidates extends Param[Boolean](false) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params/BUILD new file mode 100644 index 000000000..1bb357b2c --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params/BUILD @@ -0,0 +1,13 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "configapi/configapi-core", + "configapi/configapi-decider", + "configapi/configapi-featureswitches:v2", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params/GlobalParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params/GlobalParams.scala new file mode 100644 index 000000000..cf1905c41 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params/GlobalParams.scala @@ -0,0 +1,35 @@ +package com.twitter.follow_recommendations.configapi.params + +import com.twitter.follow_recommendations.models.CandidateSourceType +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSParam + +/** + * When adding Producer side experiments, make sure to register the FS Key in [[ProducerFeatureFilter]] + * in [[FeatureSwitchesModule]], otherwise, the FS will not work. + */ +object GlobalParams { + + object EnableCandidateParamHydrations + extends FSParam[Boolean]("frs_receiver_enable_candidate_params", false) + + object KeepUserCandidate + extends FSParam[Boolean]("frs_receiver_holdback_keep_user_candidate", true) + + object KeepSocialUserCandidate + extends FSParam[Boolean]("frs_receiver_holdback_keep_social_user_candidate", true) + + case object EnableGFSSocialProofTransform + extends FSParam("social_proof_transform_use_graph_feature_service", true) + + case object EnableWhoToFollowProducts extends FSParam("who_to_follow_product_enabled", true) + + case object CandidateSourcesToFilter + extends FSEnumParam[CandidateSourceType.type]( + "candidate_sources_type_filter_id", + CandidateSourceType.None, + CandidateSourceType) + + object EnableRecommendationFlowLogs + extends FSParam[Boolean]("frs_recommendation_flow_logs_enabled", false) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/BUILD new file mode 100644 index 000000000..2a625d856 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/BUILD @@ -0,0 +1,29 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "decider/src/main/scala", + "finagle/finagle-core/src/main", + "finatra/inject/inject-core/src/main/scala", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift:controller", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/exceptions", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/filters", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/modules", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/response", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/routing", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/debug_query", + "scrooge/scrooge-core/src/main/scala", + "util/util-core:scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/CandidateUserDebugParamsBuilder.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/CandidateUserDebugParamsBuilder.scala new file mode 100644 index 000000000..1695c464d --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/CandidateUserDebugParamsBuilder.scala @@ -0,0 +1,25 @@ +package com.twitter.follow_recommendations.controllers + +import com.twitter.follow_recommendations.common.models._ +import com.twitter.follow_recommendations.configapi.ParamsFactory +import com.twitter.follow_recommendations.models.CandidateUserDebugParams +import com.twitter.follow_recommendations.models.FeatureValue +import com.twitter.follow_recommendations.{thriftscala => t} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class CandidateUserDebugParamsBuilder @Inject() (paramsFactory: ParamsFactory) { + def fromThrift(req: t.ScoringUserRequest): CandidateUserDebugParams = { + val clientContext = ClientContextConverter.fromThrift(req.clientContext) + val displayLocation = DisplayLocation.fromThrift(req.displayLocation) + + CandidateUserDebugParams(req.candidates.map { candidate => + candidate.userId -> paramsFactory( + clientContext, + displayLocation, + candidate.featureOverrides + .map(_.mapValues(FeatureValue.fromThrift).toMap).getOrElse(Map.empty)) + }.toMap) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/RecommendationRequestBuilder.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/RecommendationRequestBuilder.scala new file mode 100644 index 000000000..bc21fd6a3 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/RecommendationRequestBuilder.scala @@ -0,0 +1,41 @@ +package com.twitter.follow_recommendations.controllers + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.ClientContextConverter +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.models.DebugParams +import com.twitter.follow_recommendations.models.DisplayContext +import com.twitter.follow_recommendations.models.RecommendationRequest +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.gizmoduck.thriftscala.UserType +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RecommendationRequestBuilder @Inject() ( + requestBuilderUserFetcher: RequestBuilderUserFetcher, + statsReceiver: StatsReceiver) { + private val scopedStats = statsReceiver.scope(this.getClass.getSimpleName) + private val isSoftUserCounter = scopedStats.counter("is_soft_user") + + def fromThrift(tRequest: t.RecommendationRequest): Stitch[RecommendationRequest] = { + requestBuilderUserFetcher.fetchUser(tRequest.clientContext.userId).map { userOpt => + val isSoftUser = userOpt.exists(_.userType == UserType.Soft) + if (isSoftUser) isSoftUserCounter.incr() + RecommendationRequest( + clientContext = ClientContextConverter.fromThrift(tRequest.clientContext), + displayLocation = DisplayLocation.fromThrift(tRequest.displayLocation), + displayContext = tRequest.displayContext.map(DisplayContext.fromThrift), + maxResults = tRequest.maxResults, + cursor = tRequest.cursor, + excludedIds = tRequest.excludedIds, + fetchPromotedContent = tRequest.fetchPromotedContent, + debugParams = tRequest.debugParams.map(DebugParams.fromThrift), + userLocationState = tRequest.userLocationState, + isSoftUser = isSoftUser + ) + } + + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/RequestBuilderUserFetcher.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/RequestBuilderUserFetcher.scala new file mode 100644 index 000000000..3953b5ef3 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/RequestBuilderUserFetcher.scala @@ -0,0 +1,48 @@ +package com.twitter.follow_recommendations.controllers + +import com.twitter.decider.Decider +import com.twitter.decider.SimpleRecipient +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.configapi.deciders.DeciderKey +import com.twitter.gizmoduck.thriftscala.LookupContext +import com.twitter.gizmoduck.thriftscala.User +import com.twitter.stitch.Stitch +import com.twitter.stitch.gizmoduck.Gizmoduck +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RequestBuilderUserFetcher @Inject() ( + gizmoduck: Gizmoduck, + statsReceiver: StatsReceiver, + decider: Decider) { + private val scopedStats = statsReceiver.scope(this.getClass.getSimpleName) + + def fetchUser(userIdOpt: Option[Long]): Stitch[Option[User]] = { + userIdOpt match { + case Some(userId) if enableDecider(userId) => + val stitch = gizmoduck + .getUserById( + userId = userId, + context = LookupContext( + forUserId = Some(userId), + includeProtected = true, + includeSoftUsers = true + ) + ).map(user => Some(user)) + StatsUtil + .profileStitch(stitch, scopedStats) + .handle { + case _: Throwable => None + } + case _ => Stitch.None + } + } + + private def enableDecider(userId: Long): Boolean = { + decider.isAvailable( + DeciderKey.EnableFetchUserInRequestBuilder.toString, + Some(SimpleRecipient(userId))) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/ScoringUserRequestBuilder.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/ScoringUserRequestBuilder.scala new file mode 100644 index 000000000..4a45a19f7 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/ScoringUserRequestBuilder.scala @@ -0,0 +1,53 @@ +package com.twitter.follow_recommendations.controllers + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.ClientContextConverter +import com.twitter.follow_recommendations.common.models.DebugOptions +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.models.DebugParams +import com.twitter.follow_recommendations.models.ScoringUserRequest +import com.twitter.timelines.configapi.Params +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.gizmoduck.thriftscala.UserType +import com.twitter.stitch.Stitch + +@Singleton +class ScoringUserRequestBuilder @Inject() ( + requestBuilderUserFetcher: RequestBuilderUserFetcher, + candidateUserDebugParamsBuilder: CandidateUserDebugParamsBuilder, + statsReceiver: StatsReceiver) { + private val scopedStats = statsReceiver.scope(this.getClass.getSimpleName) + private val isSoftUserCounter = scopedStats.counter("is_soft_user") + + def fromThrift(req: t.ScoringUserRequest): Stitch[ScoringUserRequest] = { + requestBuilderUserFetcher.fetchUser(req.clientContext.userId).map { userOpt => + val isSoftUser = userOpt.exists(_.userType == UserType.Soft) + if (isSoftUser) isSoftUserCounter.incr() + + val candidateUsersParamsMap = candidateUserDebugParamsBuilder.fromThrift(req) + val candidates = req.candidates.map { candidate => + CandidateUser + .fromUserRecommendation(candidate).copy(params = + candidateUsersParamsMap.paramsMap.getOrElse(candidate.userId, Params.Invalid)) + } + + ScoringUserRequest( + clientContext = ClientContextConverter.fromThrift(req.clientContext), + displayLocation = DisplayLocation.fromThrift(req.displayLocation), + params = Params.Empty, + debugOptions = req.debugParams.map(DebugOptions.fromDebugParamsThrift), + recentFollowedUserIds = None, + recentFollowedByUserIds = None, + wtfImpressions = None, + similarToUserIds = Nil, + candidates = candidates, + debugParams = req.debugParams.map(DebugParams.fromThrift), + isSoftUser = isSoftUser + ) + } + } + +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/ThriftController.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/ThriftController.scala new file mode 100644 index 000000000..f3014982e --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/controllers/ThriftController.scala @@ -0,0 +1,41 @@ +package com.twitter.follow_recommendations.controllers + +import com.twitter.finatra.thrift.Controller +import com.twitter.follow_recommendations.configapi.ParamsFactory +import com.twitter.follow_recommendations.services.ProductPipelineSelector +import com.twitter.follow_recommendations.services.UserScoringService +import com.twitter.follow_recommendations.thriftscala.FollowRecommendationsThriftService +import com.twitter.follow_recommendations.thriftscala.FollowRecommendationsThriftService._ +import com.twitter.stitch.Stitch +import javax.inject.Inject + +class ThriftController @Inject() ( + userScoringService: UserScoringService, + recommendationRequestBuilder: RecommendationRequestBuilder, + scoringUserRequestBuilder: ScoringUserRequestBuilder, + productPipelineSelector: ProductPipelineSelector, + paramsFactory: ParamsFactory) + extends Controller(FollowRecommendationsThriftService) { + + handle(GetRecommendations) { args: GetRecommendations.Args => + val stitch = recommendationRequestBuilder.fromThrift(args.request).flatMap { request => + val params = paramsFactory( + request.clientContext, + request.displayLocation, + request.debugParams.flatMap(_.featureOverrides).getOrElse(Map.empty)) + productPipelineSelector.selectPipeline(request, params).map(_.toThrift) + } + Stitch.run(stitch) + } + + handle(ScoreUserCandidates) { args: ScoreUserCandidates.Args => + val stitch = scoringUserRequestBuilder.fromThrift(args.request).flatMap { request => + val params = paramsFactory( + request.clientContext, + request.displayLocation, + request.debugParams.flatMap(_.featureOverrides).getOrElse(Map.empty)) + userScoringService.get(request.copy(params = params)).map(_.toThrift) + } + Stitch.run(stitch) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/BUILD new file mode 100644 index 000000000..aa775c6a7 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/BUILD @@ -0,0 +1,19 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/promoted_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlow.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlow.scala new file mode 100644 index 000000000..dd9372484 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlow.scala @@ -0,0 +1,112 @@ +package com.twitter.follow_recommendations.flows.ads + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.EnrichedCandidateSource +import com.twitter.follow_recommendations.common.base.IdentityRanker +import com.twitter.follow_recommendations.common.base.IdentityTransform +import com.twitter.follow_recommendations.common.base.ParamPredicate +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.Ranker +import com.twitter.follow_recommendations.common.base.RecommendationFlow +import com.twitter.follow_recommendations.common.base.RecommendationResultsConfig +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.base.TruePredicate +import com.twitter.follow_recommendations.common.candidate_sources.promoted_accounts.PromotedAccountsCandidateSource +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.predicates.ExcludedUserIdPredicate +import com.twitter.follow_recommendations.common.transforms.tracking_token.TrackingTokenTransform +import com.twitter.inject.annotations.Flag +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.util.Duration +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PromotedAccountsFlow @Inject() ( + promotedAccountsCandidateSource: PromotedAccountsCandidateSource, + trackingTokenTransform: TrackingTokenTransform, + baseStatsReceiver: StatsReceiver, + @Flag("fetch_prod_promoted_accounts") fetchProductionPromotedAccounts: Boolean) + extends RecommendationFlow[PromotedAccountsFlowRequest, CandidateUser] { + + protected override def targetEligibility: Predicate[PromotedAccountsFlowRequest] = + new ParamPredicate[PromotedAccountsFlowRequest]( + PromotedAccountsFlowParams.TargetEligibility + ) + + protected override def candidateSources( + target: PromotedAccountsFlowRequest + ): Seq[CandidateSource[PromotedAccountsFlowRequest, CandidateUser]] = { + import EnrichedCandidateSource._ + val candidateSourceStats = statsReceiver.scope("candidate_sources") + val budget: Duration = target.params(PromotedAccountsFlowParams.FetchCandidateSourceBudget) + val candidateSources = Seq( + promotedAccountsCandidateSource + .mapKeys[PromotedAccountsFlowRequest](r => + Seq(r.toAdsRequest(fetchProductionPromotedAccounts))) + .mapValue(PromotedAccountsUtil.toCandidateUser) + ).map { candidateSource => + candidateSource + .failOpenWithin(budget, candidateSourceStats).observe(candidateSourceStats) + } + candidateSources + } + + protected override def preRankerCandidateFilter: Predicate[ + (PromotedAccountsFlowRequest, CandidateUser) + ] = { + val preRankerFilterStats = statsReceiver.scope("pre_ranker") + ExcludedUserIdPredicate.observe(preRankerFilterStats.scope("exclude_user_id_predicate")) + } + + /** + * rank the candidates + */ + protected override def selectRanker( + target: PromotedAccountsFlowRequest + ): Ranker[PromotedAccountsFlowRequest, CandidateUser] = { + new IdentityRanker[PromotedAccountsFlowRequest, CandidateUser] + } + + /** + * transform the candidates after ranking (e.g. dedupping, grouping and etc) + */ + protected override def postRankerTransform: Transform[ + PromotedAccountsFlowRequest, + CandidateUser + ] = { + new IdentityTransform[PromotedAccountsFlowRequest, CandidateUser] + } + + /** + * filter invalid candidates before returning the results. + * + * Some heavy filters e.g. SGS filter could be applied in this step + */ + protected override def validateCandidates: Predicate[ + (PromotedAccountsFlowRequest, CandidateUser) + ] = { + new TruePredicate[(PromotedAccountsFlowRequest, CandidateUser)] + } + + /** + * transform the candidates into results and return + */ + protected override def transformResults: Transform[PromotedAccountsFlowRequest, CandidateUser] = { + trackingTokenTransform + } + + /** + * configuration for recommendation results + */ + protected override def resultsConfig( + target: PromotedAccountsFlowRequest + ): RecommendationResultsConfig = { + RecommendationResultsConfig( + target.params(PromotedAccountsFlowParams.ResultSizeParam), + target.params(PromotedAccountsFlowParams.BatchSizeParam) + ) + } + + override val statsReceiver: StatsReceiver = baseStatsReceiver.scope("promoted_accounts_flow") +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlowParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlowParams.scala new file mode 100644 index 000000000..010aea509 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlowParams.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.flows.ads +import com.twitter.conversions.DurationOps._ +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +abstract class PromotedAccountsFlowParams[A](default: A) extends Param[A](default) { + override val statName: String = "ads/" + this.getClass.getSimpleName +} + +object PromotedAccountsFlowParams { + + // number of total slots returned to the end user, available to put ads + case object TargetEligibility extends PromotedAccountsFlowParams[Boolean](true) + case object ResultSizeParam extends PromotedAccountsFlowParams[Int](Int.MaxValue) + case object BatchSizeParam extends PromotedAccountsFlowParams[Int](Int.MaxValue) + case object FetchCandidateSourceBudget + extends PromotedAccountsFlowParams[Duration](1000.millisecond) + +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlowRequest.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlowRequest.scala new file mode 100644 index 000000000..61afb3049 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsFlowRequest.scala @@ -0,0 +1,33 @@ +package com.twitter.follow_recommendations.flows.ads +import com.twitter.follow_recommendations.common.clients.adserver.AdRequest +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasExcludedUserIds +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params + +case class PromotedAccountsFlowRequest( + override val clientContext: ClientContext, + override val params: Params, + displayLocation: DisplayLocation, + profileId: Option[Long], + // note we also add userId and profileId to excludeUserIds + excludeIds: Seq[Long]) + extends HasParams + with HasClientContext + with HasExcludedUserIds + with HasDisplayLocation { + def toAdsRequest(fetchProductionPromotedAccounts: Boolean): AdRequest = { + AdRequest( + clientContext = clientContext, + displayLocation = displayLocation, + isTest = Some(!fetchProductionPromotedAccounts), + profileUserId = profileId + ) + } + override val excludedUserIds: Seq[Long] = { + excludeIds ++ clientContext.userId.toSeq ++ profileId.toSeq + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsUtil.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsUtil.scala new file mode 100644 index 000000000..5327911c2 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads/PromotedAccountsUtil.scala @@ -0,0 +1,28 @@ +package com.twitter.follow_recommendations.flows.ads +import com.twitter.follow_recommendations.common.candidate_sources.promoted_accounts.PromotedCandidateUser +import com.twitter.follow_recommendations.common.models.AccountProof +import com.twitter.follow_recommendations.common.models.AdMetadata +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.Reason +import com.twitter.follow_recommendations.common.models.UserCandidateSourceDetails + +object PromotedAccountsUtil { + def toCandidateUser(promotedCandidateUser: PromotedCandidateUser): CandidateUser = { + CandidateUser( + id = promotedCandidateUser.id, + score = None, + adMetadata = + Some(AdMetadata(promotedCandidateUser.position, promotedCandidateUser.adImpression)), + reason = Some( + Reason( + accountProof = Some(AccountProof(followProof = Some(promotedCandidateUser.followProof)))) + ), + userCandidateSourceDetails = Some( + UserCandidateSourceDetails( + promotedCandidateUser.primaryCandidateSource, + Map.empty, + Map.empty, + None)) + ) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/BUILD new file mode 100644 index 000000000..886c0fe5a --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/BUILD @@ -0,0 +1,32 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlow.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlow.scala new file mode 100644 index 000000000..30dfa0d42 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlow.scala @@ -0,0 +1,202 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.EnrichedCandidateSource +import com.twitter.follow_recommendations.common.base.GatedPredicateBase +import com.twitter.follow_recommendations.common.base.ParamPredicate +import com.twitter.follow_recommendations.common.base.Predicate +import com.twitter.follow_recommendations.common.base.Ranker +import com.twitter.follow_recommendations.common.base.RecommendationFlow +import com.twitter.follow_recommendations.common.base.RecommendationResultsConfig +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.predicates.ExcludedUserIdPredicate +import com.twitter.follow_recommendations.common.predicates.InactivePredicate +import com.twitter.follow_recommendations.common.predicates.gizmoduck.GizmoduckPredicate +import com.twitter.follow_recommendations.common.predicates.sgs.InvalidRelationshipPredicate +import com.twitter.follow_recommendations.common.predicates.sgs.InvalidTargetCandidateRelationshipTypesPredicate +import com.twitter.follow_recommendations.common.predicates.sgs.RecentFollowingPredicate +import com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker.WeightedCandidateSourceRanker +import com.twitter.follow_recommendations.common.transforms.dedup.DedupTransform +import com.twitter.follow_recommendations.common.transforms.tracking_token.TrackingTokenTransform +import com.twitter.follow_recommendations.utils.CandidateSourceHoldbackUtil +import com.twitter.follow_recommendations.utils.RecommendationFlowBaseSideEffectsUtil +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.quality_factor.BoundsWithDefault +import com.twitter.product_mixer.core.quality_factor.LinearLatencyQualityFactor +import com.twitter.product_mixer.core.quality_factor.LinearLatencyQualityFactorConfig +import com.twitter.product_mixer.core.quality_factor.LinearLatencyQualityFactorObserver +import com.twitter.product_mixer.core.quality_factor.QualityFactorObserver + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ContentRecommenderFlow @Inject() ( + contentRecommenderFlowCandidateSourceRegistry: ContentRecommenderFlowCandidateSourceRegistry, + recentFollowingPredicate: RecentFollowingPredicate, + gizmoduckPredicate: GizmoduckPredicate, + inactivePredicate: InactivePredicate, + sgsPredicate: InvalidTargetCandidateRelationshipTypesPredicate, + invalidRelationshipPredicate: InvalidRelationshipPredicate, + trackingTokenTransform: TrackingTokenTransform, + baseStatsReceiver: StatsReceiver) + extends RecommendationFlow[ContentRecommenderRequest, CandidateUser] + with RecommendationFlowBaseSideEffectsUtil[ContentRecommenderRequest, CandidateUser] + with CandidateSourceHoldbackUtil { + + override val statsReceiver: StatsReceiver = baseStatsReceiver.scope("content_recommender_flow") + + override val qualityFactorObserver: Option[QualityFactorObserver] = { + val config = LinearLatencyQualityFactorConfig( + qualityFactorBounds = + BoundsWithDefault(minInclusive = 0.1, maxInclusive = 1.0, default = 1.0), + initialDelay = 60.seconds, + targetLatency = 100.milliseconds, + targetLatencyPercentile = 95.0, + delta = 0.001 + ) + val qualityFactor = LinearLatencyQualityFactor(config) + val observer = LinearLatencyQualityFactorObserver(qualityFactor) + statsReceiver.provideGauge("quality_factor")(qualityFactor.currentValue.toFloat) + Some(observer) + } + + protected override def targetEligibility: Predicate[ContentRecommenderRequest] = + new ParamPredicate[ContentRecommenderRequest]( + ContentRecommenderParams.TargetEligibility + ) + + protected override def candidateSources( + target: ContentRecommenderRequest + ): Seq[CandidateSource[ContentRecommenderRequest, CandidateUser]] = { + import EnrichedCandidateSource._ + val identifiers = ContentRecommenderFlowCandidateSourceWeights.getWeights(target.params).keySet + val selected = contentRecommenderFlowCandidateSourceRegistry.select(identifiers) + val budget = + target.params(ContentRecommenderParams.FetchCandidateSourceBudgetInMillisecond).millisecond + filterCandidateSources(target, selected.map(c => c.failOpenWithin(budget, statsReceiver)).toSeq) + } + + protected override val preRankerCandidateFilter: Predicate[ + (ContentRecommenderRequest, CandidateUser) + ] = { + val preRankerFilterStats = statsReceiver.scope("pre_ranker") + val recentFollowingPredicateStats = preRankerFilterStats.scope("recent_following_predicate") + val invalidRelationshipPredicateStats = + preRankerFilterStats.scope("invalid_relationship_predicate") + + object recentFollowingGatedPredicate + extends GatedPredicateBase[(ContentRecommenderRequest, CandidateUser)]( + recentFollowingPredicate, + recentFollowingPredicateStats + ) { + override def gate(item: (ContentRecommenderRequest, CandidateUser)): Boolean = + item._1.params(ContentRecommenderParams.EnableRecentFollowingPredicate) + } + + object invalidRelationshipGatedPredicate + extends GatedPredicateBase[(ContentRecommenderRequest, CandidateUser)]( + invalidRelationshipPredicate, + invalidRelationshipPredicateStats + ) { + override def gate(item: (ContentRecommenderRequest, CandidateUser)): Boolean = + item._1.params(ContentRecommenderParams.EnableInvalidRelationshipPredicate) + } + + ExcludedUserIdPredicate + .observe(preRankerFilterStats.scope("exclude_user_id_predicate")) + .andThen(recentFollowingGatedPredicate.observe(recentFollowingPredicateStats)) + .andThen(invalidRelationshipGatedPredicate.observe(invalidRelationshipPredicateStats)) + } + + /** + * rank the candidates + */ + protected override def selectRanker( + target: ContentRecommenderRequest + ): Ranker[ContentRecommenderRequest, CandidateUser] = { + val rankersStatsReceiver = statsReceiver.scope("rankers") + WeightedCandidateSourceRanker + .build[ContentRecommenderRequest]( + ContentRecommenderFlowCandidateSourceWeights.getWeights(target.params), + randomSeed = target.getRandomizationSeed + ).observe(rankersStatsReceiver.scope("weighted_candidate_source_ranker")) + } + + /** + * transform the candidates after ranking + */ + protected override def postRankerTransform: Transform[ + ContentRecommenderRequest, + CandidateUser + ] = { + new DedupTransform[ContentRecommenderRequest, CandidateUser] + .observe(statsReceiver.scope("dedupping")) + } + + protected override def validateCandidates: Predicate[ + (ContentRecommenderRequest, CandidateUser) + ] = { + val stats = statsReceiver.scope("validate_candidates") + val gizmoduckPredicateStats = stats.scope("gizmoduck_predicate") + val inactivePredicateStats = stats.scope("inactive_predicate") + val sgsPredicateStats = stats.scope("sgs_predicate") + + val includeGizmoduckPredicate = + new ParamPredicate[ContentRecommenderRequest]( + ContentRecommenderParams.EnableGizmoduckPredicate) + .map[(ContentRecommenderRequest, CandidateUser)] { + case (request: ContentRecommenderRequest, _) => + request + } + + val includeInactivePredicate = + new ParamPredicate[ContentRecommenderRequest]( + ContentRecommenderParams.EnableInactivePredicate) + .map[(ContentRecommenderRequest, CandidateUser)] { + case (request: ContentRecommenderRequest, _) => + request + } + + val includeInvalidTargetCandidateRelationshipTypesPredicate = + new ParamPredicate[ContentRecommenderRequest]( + ContentRecommenderParams.EnableInvalidTargetCandidateRelationshipPredicate) + .map[(ContentRecommenderRequest, CandidateUser)] { + case (request: ContentRecommenderRequest, _) => + request + } + + Predicate + .andConcurrently[(ContentRecommenderRequest, CandidateUser)]( + Seq( + gizmoduckPredicate.observe(gizmoduckPredicateStats).gate(includeGizmoduckPredicate), + inactivePredicate.observe(inactivePredicateStats).gate(includeInactivePredicate), + sgsPredicate + .observe(sgsPredicateStats).gate( + includeInvalidTargetCandidateRelationshipTypesPredicate), + ) + ) + } + + /** + * transform the candidates into results and return + */ + protected override def transformResults: Transform[ContentRecommenderRequest, CandidateUser] = { + trackingTokenTransform + } + + /** + * configuration for recommendation results + */ + protected override def resultsConfig( + target: ContentRecommenderRequest + ): RecommendationResultsConfig = { + RecommendationResultsConfig( + target.maxResults.getOrElse(target.params(ContentRecommenderParams.ResultSizeParam)), + target.params(ContentRecommenderParams.BatchSizeParam) + ) + } + +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceRegistry.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceRegistry.scala new file mode 100644 index 000000000..4a6c61042 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceRegistry.scala @@ -0,0 +1,78 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.CandidateSourceRegistry +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardPhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReverseEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReversePhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountryBackFillSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountrySource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeohashSource +import com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts.CrowdSearchAccountsSource +import com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow.PPMILocaleFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.top_organic_follows_accounts.TopOrganicFollowsAccountsSource +import com.twitter.follow_recommendations.common.candidate_sources.real_graph.RealGraphOonV2Source +import com.twitter.follow_recommendations.common.candidate_sources.recent_engagement.RepeatedProfileVisitsSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentEngagementSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentFollowingSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.socialgraph.RecentFollowingRecentFollowingExpansionSource +import com.twitter.follow_recommendations.common.candidate_sources.stp.OfflineStrongTiePredictionSource +import com.twitter.follow_recommendations.common.candidate_sources.triangular_loops.TriangularLoopsSource +import com.twitter.follow_recommendations.common.candidate_sources.user_user_graph.UserUserGraphCandidateSource +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ContentRecommenderFlowCandidateSourceRegistry @Inject() ( + // social based + forwardPhoneBookSource: ForwardPhoneBookSource, + forwardEmailBookSource: ForwardEmailBookSource, + reversePhoneBookSource: ReversePhoneBookSource, + reverseEmailBookSource: ReverseEmailBookSource, + offlineStrongTiePredictionSource: OfflineStrongTiePredictionSource, + triangularLoopsSource: TriangularLoopsSource, + userUserGraphCandidateSource: UserUserGraphCandidateSource, + realGraphOonSource: RealGraphOonV2Source, + recentFollowingRecentFollowingExpansionSource: RecentFollowingRecentFollowingExpansionSource, + // activity based + recentFollowingSimilarUsersSource: RecentFollowingSimilarUsersSource, + recentEngagementSimilarUsersSource: RecentEngagementSimilarUsersSource, + repeatedProfileVisitsSource: RepeatedProfileVisitsSource, + // geo based + popCountrySource: PopCountrySource, + popGeohashSource: PopGeohashSource, + popCountryBackFillSource: PopCountryBackFillSource, + crowdSearchAccountsSource: CrowdSearchAccountsSource, + topOrganicFollowsAccountsSource: TopOrganicFollowsAccountsSource, + ppmiLocaleFollowSource: PPMILocaleFollowSource, + baseStatsReceiver: StatsReceiver) + extends CandidateSourceRegistry[ContentRecommenderRequest, CandidateUser] { + + override val statsReceiver = baseStatsReceiver + .scope("content_recommender_flow", "candidate_sources") + + override val sources: Set[CandidateSource[ContentRecommenderRequest, CandidateUser]] = Seq( + forwardPhoneBookSource, + forwardEmailBookSource, + reversePhoneBookSource, + reverseEmailBookSource, + offlineStrongTiePredictionSource, + triangularLoopsSource, + userUserGraphCandidateSource, + realGraphOonSource, + recentFollowingRecentFollowingExpansionSource, + recentFollowingSimilarUsersSource, + recentEngagementSimilarUsersSource, + repeatedProfileVisitsSource, + popCountrySource, + popGeohashSource, + popCountryBackFillSource, + crowdSearchAccountsSource, + topOrganicFollowsAccountsSource, + ppmiLocaleFollowSource, + ).toSet +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceWeights.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceWeights.scala new file mode 100644 index 000000000..845a6ec0a --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceWeights.scala @@ -0,0 +1,71 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardPhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReverseEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReversePhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountryBackFillSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountrySource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeohashSource +import com.twitter.follow_recommendations.common.candidate_sources.real_graph.RealGraphOonV2Source +import com.twitter.follow_recommendations.common.candidate_sources.recent_engagement.RepeatedProfileVisitsSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentEngagementSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentFollowingSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.stp.OfflineStrongTiePredictionSource +import com.twitter.follow_recommendations.common.candidate_sources.triangular_loops.TriangularLoopsSource +import com.twitter.follow_recommendations.common.candidate_sources.user_user_graph.UserUserGraphCandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts.CrowdSearchAccountsSource +import com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow.PPMILocaleFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.socialgraph.RecentFollowingRecentFollowingExpansionSource +import com.twitter.follow_recommendations.common.candidate_sources.top_organic_follows_accounts.TopOrganicFollowsAccountsSource +import com.twitter.timelines.configapi.Params + +object ContentRecommenderFlowCandidateSourceWeights { + + def getWeights( + params: Params + ): Map[CandidateSourceIdentifier, Double] = { + Map[CandidateSourceIdentifier, Double]( + // Social based + UserUserGraphCandidateSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.UserUserGraphSourceWeight), + ForwardPhoneBookSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.ForwardPhoneBookSourceWeight), + ReversePhoneBookSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.ReversePhoneBookSourceWeight), + ForwardEmailBookSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.ForwardEmailBookSourceWeight), + ReverseEmailBookSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.ReverseEmailBookSourceWeight), + TriangularLoopsSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.TriangularLoopsSourceWeight), + OfflineStrongTiePredictionSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.OfflineStrongTiePredictionSourceWeight), + RecentFollowingRecentFollowingExpansionSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.NewFollowingNewFollowingExpansionSourceWeight), + RecentFollowingSimilarUsersSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.NewFollowingSimilarUserSourceWeight), + // Activity based + RealGraphOonV2Source.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.RealGraphOonSourceWeight), + RecentEngagementSimilarUsersSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.RecentEngagementSimilarUserSourceWeight), + RepeatedProfileVisitsSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.RepeatedProfileVisitsSourceWeight), + // Geo based + PopCountrySource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.PopCountrySourceWeight), + PopGeohashSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.PopGeohashSourceWeight), + PopCountryBackFillSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.PopCountryBackfillSourceWeight), + PPMILocaleFollowSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.PPMILocaleFollowSourceWeight), + CrowdSearchAccountsSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.CrowdSearchAccountSourceWeight), + TopOrganicFollowsAccountsSource.Identifier -> params( + ContentRecommenderFlowCandidateSourceWeightsParams.TopOrganicFollowsAccountsSourceWeight), + ) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceWeightsParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceWeightsParams.scala new file mode 100644 index 000000000..462de260b --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowCandidateSourceWeightsParams.scala @@ -0,0 +1,117 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +import com.twitter.timelines.configapi.FSBoundedParam + +object ContentRecommenderFlowCandidateSourceWeightsParams { + // Social based + case object ForwardPhoneBookSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.ForwardPhoneBookSourceWeight, + 1d, + 0d, + 1000d) + case object ForwardEmailBookSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.ForwardEmailBookSourceWeight, + 1d, + 0d, + 1000d) + case object ReversePhoneBookSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.ReversePhoneBookSourceWeight, + 1d, + 0d, + 1000d) + case object ReverseEmailBookSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.ReverseEmailBookSourceWeight, + 1d, + 0d, + 1000d) + case object OfflineStrongTiePredictionSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.OfflineStrongTiePredictionSourceWeight, + 1d, + 0d, + 1000d) + case object TriangularLoopsSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.TriangularLoopsSourceWeight, + 1d, + 0d, + 1000d) + case object UserUserGraphSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.UserUserGraphSourceWeight, + 1d, + 0d, + 1000d) + case object NewFollowingNewFollowingExpansionSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.NewFollowingNewFollowingExpansionSourceWeight, + 1d, + 0d, + 1000d) + // Activity based + case object NewFollowingSimilarUserSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.NewFollowingSimilarUserSourceWeight, + 1d, + 0d, + 1000d) + case object RecentEngagementSimilarUserSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.RecentEngagementSimilarUserSourceWeight, + 1d, + 0d, + 1000d) + case object RepeatedProfileVisitsSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.RepeatedProfileVisitsSourceWeight, + 1d, + 0d, + 1000d) + case object RealGraphOonSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.RealGraphOonSourceWeight, + 1d, + 0d, + 1000d) + // Geo based + case object PopCountrySourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.PopCountrySourceWeight, + 1d, + 0d, + 1000d) + case object PopGeohashSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.PopGeohashSourceWeight, + 1d, + 0d, + 1000d) + case object PopCountryBackfillSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.PopCountryBackfillSourceWeight, + 1d, + 0d, + 1000d) + case object PPMILocaleFollowSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.PPMILocaleFollowSourceWeight, + 1d, + 0d, + 1000d) + case object TopOrganicFollowsAccountsSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.TopOrganicFollowsAccountsSourceWeight, + 1d, + 0d, + 1000d) + case object CrowdSearchAccountSourceWeight + extends FSBoundedParam[Double]( + ContentRecommenderFlowFeatureSwitchKeys.CrowdSearchAccountSourceWeight, + 1d, + 0d, + 1000d) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowFSConfig.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowFSConfig.scala new file mode 100644 index 000000000..a24032c84 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowFSConfig.scala @@ -0,0 +1,60 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ContentRecommenderFlowFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = + Seq( + ContentRecommenderParams.IncludeActivityBasedCandidateSource, + ContentRecommenderParams.IncludeSocialBasedCandidateSource, + ContentRecommenderParams.IncludeGeoBasedCandidateSource, + ContentRecommenderParams.IncludeHomeTimelineTweetRecsCandidateSource, + ContentRecommenderParams.IncludeSocialProofEnforcedCandidateSource, + ContentRecommenderParams.EnableRecentFollowingPredicate, + ContentRecommenderParams.EnableGizmoduckPredicate, + ContentRecommenderParams.EnableInactivePredicate, + ContentRecommenderParams.EnableInvalidTargetCandidateRelationshipPredicate, + ContentRecommenderParams.IncludeNewFollowingNewFollowingExpansionCandidateSource, + ContentRecommenderParams.IncludeMoreGeoBasedCandidateSource, + ContentRecommenderParams.TargetEligibility, + ContentRecommenderParams.GetFollowersFromSgs, + ContentRecommenderParams.EnableInvalidRelationshipPredicate, + ) + + override val intFSParams: Seq[FSBoundedParam[Int]] = + Seq( + ContentRecommenderParams.ResultSizeParam, + ContentRecommenderParams.BatchSizeParam, + ContentRecommenderParams.FetchCandidateSourceBudgetInMillisecond, + ContentRecommenderParams.RecentFollowingPredicateBudgetInMillisecond, + ) + + override val doubleFSParams: Seq[FSBoundedParam[Double]] = + Seq( + ContentRecommenderFlowCandidateSourceWeightsParams.ForwardPhoneBookSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.ForwardEmailBookSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.ReversePhoneBookSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.ReverseEmailBookSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.OfflineStrongTiePredictionSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.TriangularLoopsSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.UserUserGraphSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.NewFollowingNewFollowingExpansionSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.NewFollowingSimilarUserSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.RecentEngagementSimilarUserSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.RepeatedProfileVisitsSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.RealGraphOonSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.PopCountrySourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.PopGeohashSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.PopCountryBackfillSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.PPMILocaleFollowSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.TopOrganicFollowsAccountsSourceWeight, + ContentRecommenderFlowCandidateSourceWeightsParams.CrowdSearchAccountSourceWeight, + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowFeatureSwitchKeys.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowFeatureSwitchKeys.scala new file mode 100644 index 000000000..ff51dc9f6 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderFlowFeatureSwitchKeys.scala @@ -0,0 +1,70 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +object ContentRecommenderFlowFeatureSwitchKeys { + val TargetUserEligible = "content_recommender_flow_target_eligible" + val ResultSize = "content_recommender_flow_result_size" + val BatchSize = "content_recommender_flow_batch_size" + val RecentFollowingPredicateBudgetInMillisecond = + "content_recommender_flow_recent_following_predicate_budget_in_ms" + val CandidateGenerationBudgetInMillisecond = + "content_recommender_flow_candidate_generation_budget_in_ms" + val EnableRecentFollowingPredicate = "content_recommender_flow_enable_recent_following_predicate" + val EnableGizmoduckPredicate = "content_recommender_flow_enable_gizmoduck_predicate" + val EnableInactivePredicate = "content_recommender_flow_enable_inactive_predicate" + val EnableInvalidTargetCandidateRelationshipPredicate = + "content_recommender_flow_enable_invalid_target_candidate_relationship_predicate" + val IncludeActivityBasedCandidateSource = + "content_recommender_flow_include_activity_based_candidate_source" + val IncludeSocialBasedCandidateSource = + "content_recommender_flow_include_social_based_candidate_source" + val IncludeGeoBasedCandidateSource = + "content_recommender_flow_include_geo_based_candidate_source" + val IncludeHomeTimelineTweetRecsCandidateSource = + "content_recommender_flow_include_home_timeline_tweet_recs_candidate_source" + val IncludeSocialProofEnforcedCandidateSource = + "content_recommender_flow_include_social_proof_enforced_candidate_source" + val IncludeNewFollowingNewFollowingExpansionCandidateSource = + "content_recommender_flow_include_new_following_new_following_expansion_candidate_source" + val IncludeMoreGeoBasedCandidateSource = + "content_recommender_flow_include_more_geo_based_candidate_source" + val GetFollowersFromSgs = "content_recommender_flow_get_followers_from_sgs" + val EnableInvalidRelationshipPredicate = + "content_recommender_flow_enable_invalid_relationship_predicate" + + // Candidate source weight param keys + // Social based + val ForwardPhoneBookSourceWeight = + "content_recommender_flow_candidate_source_weight_forward_phone_book" + val ForwardEmailBookSourceWeight = + "content_recommender_flow_candidate_source_weight_forward_email_book" + val ReversePhoneBookSourceWeight = + "content_recommender_flow_candidate_source_weight_reverse_phone_book" + val ReverseEmailBookSourceWeight = + "content_recommender_flow_candidate_source_weight_reverse_email_book" + val OfflineStrongTiePredictionSourceWeight = + "content_recommender_flow_candidate_source_weight_offline_stp" + val TriangularLoopsSourceWeight = + "content_recommender_flow_candidate_source_weight_triangular_loops" + val UserUserGraphSourceWeight = "content_recommender_flow_candidate_source_weight_user_user_graph" + val NewFollowingNewFollowingExpansionSourceWeight = + "content_recommender_flow_candidate_source_weight_new_following_new_following_expansion" + // Activity based + val NewFollowingSimilarUserSourceWeight = + "content_recommender_flow_candidate_source_weight_new_following_similar_user" + val RecentEngagementSimilarUserSourceWeight = + "content_recommender_flow_candidate_source_weight_recent_engagement_similar_user" + val RepeatedProfileVisitsSourceWeight = + "content_recommender_flow_candidate_source_weight_repeated_profile_visits" + val RealGraphOonSourceWeight = "content_recommender_flow_candidate_source_weight_real_graph_oon" + // Geo based + val PopCountrySourceWeight = "content_recommender_flow_candidate_source_weight_pop_country" + val PopGeohashSourceWeight = "content_recommender_flow_candidate_source_weight_pop_geohash" + val PopCountryBackfillSourceWeight = + "content_recommender_flow_candidate_source_weight_pop_country_backfill" + val PPMILocaleFollowSourceWeight = + "content_recommender_flow_candidate_source_weight_ppmi_locale_follow" + val TopOrganicFollowsAccountsSourceWeight = + "content_recommender_flow_candidate_source_weight_top_organic_follow_account" + val CrowdSearchAccountSourceWeight = + "content_recommender_flow_candidate_source_weight_crowd_search_account" +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderParams.scala new file mode 100644 index 000000000..6b43325af --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderParams.scala @@ -0,0 +1,85 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param + +abstract class ContentRecommenderParams[A](default: A) extends Param[A](default) { + override val statName: String = "content_recommender/" + this.getClass.getSimpleName +} + +object ContentRecommenderParams { + + case object TargetEligibility + extends FSParam[Boolean](ContentRecommenderFlowFeatureSwitchKeys.TargetUserEligible, true) + + case object ResultSizeParam + extends FSBoundedParam[Int](ContentRecommenderFlowFeatureSwitchKeys.ResultSize, 15, 1, 500) + case object BatchSizeParam + extends FSBoundedParam[Int](ContentRecommenderFlowFeatureSwitchKeys.BatchSize, 15, 1, 500) + case object RecentFollowingPredicateBudgetInMillisecond + extends FSBoundedParam[Int]( + ContentRecommenderFlowFeatureSwitchKeys.RecentFollowingPredicateBudgetInMillisecond, + 8, + 1, + 50) + case object FetchCandidateSourceBudgetInMillisecond + extends FSBoundedParam[Int]( + ContentRecommenderFlowFeatureSwitchKeys.CandidateGenerationBudgetInMillisecond, + 60, + 1, + 80) + case object EnableRecentFollowingPredicate + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.EnableRecentFollowingPredicate, + true) + case object EnableGizmoduckPredicate + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.EnableGizmoduckPredicate, + false) + case object EnableInactivePredicate + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.EnableInactivePredicate, + false) + case object EnableInvalidTargetCandidateRelationshipPredicate + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.EnableInvalidTargetCandidateRelationshipPredicate, + false) + case object IncludeActivityBasedCandidateSource + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.IncludeActivityBasedCandidateSource, + true) + case object IncludeSocialBasedCandidateSource + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.IncludeSocialBasedCandidateSource, + true) + case object IncludeGeoBasedCandidateSource + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.IncludeGeoBasedCandidateSource, + true) + case object IncludeHomeTimelineTweetRecsCandidateSource + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.IncludeHomeTimelineTweetRecsCandidateSource, + false) + case object IncludeSocialProofEnforcedCandidateSource + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.IncludeSocialProofEnforcedCandidateSource, + false) + case object IncludeNewFollowingNewFollowingExpansionCandidateSource + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.IncludeNewFollowingNewFollowingExpansionCandidateSource, + false) + + case object IncludeMoreGeoBasedCandidateSource + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.IncludeMoreGeoBasedCandidateSource, + false) + + case object GetFollowersFromSgs + extends FSParam[Boolean](ContentRecommenderFlowFeatureSwitchKeys.GetFollowersFromSgs, false) + + case object EnableInvalidRelationshipPredicate + extends FSParam[Boolean]( + ContentRecommenderFlowFeatureSwitchKeys.EnableInvalidRelationshipPredicate, + false) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderRequest.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderRequest.scala new file mode 100644 index 000000000..5952314e5 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderRequest.scala @@ -0,0 +1,45 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.follow_recommendations.common.models.DebugOptions +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.GeohashAndCountryCode +import com.twitter.follow_recommendations.common.models.HasDebugOptions +import com.twitter.follow_recommendations.common.models.HasDisplayLocation +import com.twitter.follow_recommendations.common.models.HasExcludedUserIds +import com.twitter.follow_recommendations.common.models.HasGeohashAndCountryCode +import com.twitter.follow_recommendations.common.models.HasInvalidRelationshipUserIds +import com.twitter.follow_recommendations.common.models.HasRecentFollowedByUserIds +import com.twitter.follow_recommendations.common.models.HasRecentFollowedUserIds +import com.twitter.follow_recommendations.common.models.HasUserState +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params + +case class ContentRecommenderRequest( + override val params: Params, + override val clientContext: ClientContext, + inputExcludeUserIds: Seq[Long], + override val recentFollowedUserIds: Option[Seq[Long]], + override val recentFollowedByUserIds: Option[Seq[Long]], + override val invalidRelationshipUserIds: Option[Set[Long]], + override val displayLocation: DisplayLocation, + maxResults: Option[Int] = None, + override val debugOptions: Option[DebugOptions] = None, + override val geohashAndCountryCode: Option[GeohashAndCountryCode] = None, + override val userState: Option[UserState] = None) + extends HasParams + with HasClientContext + with HasDisplayLocation + with HasDebugOptions + with HasRecentFollowedUserIds + with HasRecentFollowedByUserIds + with HasInvalidRelationshipUserIds + with HasExcludedUserIds + with HasUserState + with HasGeohashAndCountryCode { + override val excludedUserIds: Seq[Long] = { + inputExcludeUserIds ++ clientContext.userId.toSeq + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderRequestBuilder.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderRequestBuilder.scala new file mode 100644 index 000000000..769f9ce51 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow/ContentRecommenderRequestBuilder.scala @@ -0,0 +1,121 @@ +package com.twitter.follow_recommendations.flows.content_recommender_flow + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.clients.geoduck.UserLocationFetcher +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.follow_recommendations.common.clients.user_state.UserStateClient +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueOptionalWithStats +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueWithStats +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueWithStatsWithin +import com.twitter.follow_recommendations.products.common.ProductRequest +import com.twitter.stitch.Stitch + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ContentRecommenderRequestBuilder @Inject() ( + socialGraph: SocialGraphClient, + userLocationFetcher: UserLocationFetcher, + userStateClient: UserStateClient, + statsReceiver: StatsReceiver) { + + val stats: StatsReceiver = statsReceiver.scope("content_recommender_request_builder") + val invalidRelationshipUsersStats: StatsReceiver = stats.scope("invalidRelationshipUserIds") + private val invalidRelationshipUsersMaxSizeCounter = + invalidRelationshipUsersStats.counter("maxSize") + private val invalidRelationshipUsersNotMaxSizeCounter = + invalidRelationshipUsersStats.counter("notMaxSize") + + def build(req: ProductRequest): Stitch[ContentRecommenderRequest] = { + val userStateStitch = Stitch + .collect(req.recommendationRequest.clientContext.userId.map(userId => + userStateClient.getUserState(userId))).map(_.flatten) + val recentFollowedUserIdsStitch = + Stitch + .collect(req.recommendationRequest.clientContext.userId.map { userId => + rescueWithStatsWithin( + socialGraph.getRecentFollowedUserIds(userId), + stats, + "recentFollowedUserIds", + req + .params( + ContentRecommenderParams.RecentFollowingPredicateBudgetInMillisecond).millisecond + ) + }) + val recentFollowedByUserIdsStitch = + if (req.params(ContentRecommenderParams.GetFollowersFromSgs)) { + Stitch + .collect( + req.recommendationRequest.clientContext.userId.map(userId => + rescueWithStatsWithin( + socialGraph.getRecentFollowedByUserIdsFromCachedColumn(userId), + stats, + "recentFollowedByUserIds", + req + .params(ContentRecommenderParams.RecentFollowingPredicateBudgetInMillisecond) + .millisecond + ))) + } else Stitch.None + val invalidRelationshipUserIdsStitch: Stitch[Option[Seq[Long]]] = + if (req.params(ContentRecommenderParams.EnableInvalidRelationshipPredicate)) { + Stitch + .collect( + req.recommendationRequest.clientContext.userId.map { userId => + rescueWithStats( + socialGraph + .getInvalidRelationshipUserIdsFromCachedColumn(userId) + .onSuccess(ids => + if (ids.size >= SocialGraphClient.MaxNumInvalidRelationship) { + invalidRelationshipUsersMaxSizeCounter.incr() + } else { + invalidRelationshipUsersNotMaxSizeCounter.incr() + }), + stats, + "invalidRelationshipUserIds" + ) + } + ) + } else { + Stitch.None + } + val locationStitch = + rescueOptionalWithStats( + userLocationFetcher.getGeohashAndCountryCode( + req.recommendationRequest.clientContext.userId, + req.recommendationRequest.clientContext.ipAddress + ), + stats, + "userLocation" + ) + Stitch + .join( + recentFollowedUserIdsStitch, + recentFollowedByUserIdsStitch, + invalidRelationshipUserIdsStitch, + locationStitch, + userStateStitch) + .map { + case ( + recentFollowedUserIds, + recentFollowedByUserIds, + invalidRelationshipUserIds, + location, + userState) => + ContentRecommenderRequest( + req.params, + req.recommendationRequest.clientContext, + req.recommendationRequest.excludedIds.getOrElse(Nil), + recentFollowedUserIds, + recentFollowedByUserIds, + invalidRelationshipUserIds.map(_.toSet), + req.recommendationRequest.displayLocation, + req.recommendationRequest.maxResults, + req.recommendationRequest.debugParams.flatMap(_.debugOptions), + location, + userState + ) + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/BUILD new file mode 100644 index 000000000..9129e17b8 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/BUILD @@ -0,0 +1,58 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/salsa", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/user_user_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/deepbirdv2", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/geoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/interests_service", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/user_state", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/dismiss", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/gizmoduck", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/health", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/user_activity", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/fatigue_ranker", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/first_n_ranker", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/interleave_ranker", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/weighted_candidate_source_ranker", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/dedup", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/ranker_id", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/tracking_token", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/weighted_sampling", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/candidates", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCandidateSourceRegistry.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCandidateSourceRegistry.scala new file mode 100644 index 000000000..ed15d566c --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCandidateSourceRegistry.scala @@ -0,0 +1,103 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.CandidateSourceRegistry +import com.twitter.follow_recommendations.common.base.EnrichedCandidateSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardPhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReverseEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReversePhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts.CrowdSearchAccountsSource +import com.twitter.follow_recommendations.common.candidate_sources.top_organic_follows_accounts.TopOrganicFollowsAccountsSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountrySource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountryBackFillSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeohashQualityFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeohashSource +import com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow.PPMILocaleFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.real_graph.RealGraphOonV2Source +import com.twitter.follow_recommendations.common.candidate_sources.recent_engagement.RecentEngagementNonDirectFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.recent_engagement.RepeatedProfileVisitsSource +import com.twitter.follow_recommendations.common.candidate_sources.salsa.RecentEngagementDirectFollowSalsaExpansionSource +import com.twitter.follow_recommendations.common.candidate_sources.sims.LinearRegressionFollow2vecNearestNeighborsStore +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentEngagementSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentFollowingSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.stp.OnlineSTPSourceScorer +import com.twitter.follow_recommendations.common.candidate_sources.stp.OfflineStrongTiePredictionSource +import com.twitter.follow_recommendations.common.candidate_sources.triangular_loops.TriangularLoopsSource +import com.twitter.follow_recommendations.common.candidate_sources.user_user_graph.UserUserGraphCandidateSource +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PostNuxMlCandidateSourceRegistry @Inject() ( + crowdSearchAccountsCandidateSource: CrowdSearchAccountsSource, + topOrganicFollowsAccountsSource: TopOrganicFollowsAccountsSource, + linearRegressionfollow2vecNearestNeighborsStore: LinearRegressionFollow2vecNearestNeighborsStore, + forwardEmailBookSource: ForwardEmailBookSource, + forwardPhoneBookSource: ForwardPhoneBookSource, + offlineStrongTiePredictionSource: OfflineStrongTiePredictionSource, + onlineSTPSource: OnlineSTPSourceScorer, + popCountrySource: PopCountrySource, + popCountryBackFillSource: PopCountryBackFillSource, + popGeohashSource: PopGeohashSource, + recentEngagementDirectFollowSimilarUsersSource: RecentEngagementSimilarUsersSource, + recentEngagementNonDirectFollowSource: RecentEngagementNonDirectFollowSource, + recentEngagementDirectFollowSalsaExpansionSource: RecentEngagementDirectFollowSalsaExpansionSource, + recentFollowingSimilarUsersSource: RecentFollowingSimilarUsersSource, + realGraphOonV2Source: RealGraphOonV2Source, + repeatedProfileVisitSource: RepeatedProfileVisitsSource, + reverseEmailBookSource: ReverseEmailBookSource, + reversePhoneBookSource: ReversePhoneBookSource, + triangularLoopsSource: TriangularLoopsSource, + userUserGraphCandidateSource: UserUserGraphCandidateSource, + ppmiLocaleFollowSource: PPMILocaleFollowSource, + popGeohashQualityFollowSource: PopGeohashQualityFollowSource, + baseStatsReceiver: StatsReceiver, +) extends CandidateSourceRegistry[PostNuxMlRequest, CandidateUser] { + import EnrichedCandidateSource._ + + override val statsReceiver = baseStatsReceiver + .scope("post_nux_ml_flow", "candidate_sources") + + // sources primarily based on social graph signals + private[this] val socialSources = Seq( + linearRegressionfollow2vecNearestNeighborsStore.mapKeys[PostNuxMlRequest]( + _.getOptionalUserId.toSeq), + forwardEmailBookSource, + forwardPhoneBookSource, + offlineStrongTiePredictionSource, + onlineSTPSource, + reverseEmailBookSource, + reversePhoneBookSource, + triangularLoopsSource, + ) + + // sources primarily based on geo signals + private[this] val geoSources = Seq( + popCountrySource, + popCountryBackFillSource, + popGeohashSource, + popGeohashQualityFollowSource, + topOrganicFollowsAccountsSource, + crowdSearchAccountsCandidateSource, + ppmiLocaleFollowSource, + ) + + // sources primarily based on recent activity signals + private[this] val activitySources = Seq( + repeatedProfileVisitSource, + recentEngagementDirectFollowSalsaExpansionSource.mapKeys[PostNuxMlRequest]( + _.getOptionalUserId.toSeq), + recentEngagementDirectFollowSimilarUsersSource, + recentEngagementNonDirectFollowSource.mapKeys[PostNuxMlRequest](_.getOptionalUserId.toSeq), + recentFollowingSimilarUsersSource, + realGraphOonV2Source, + userUserGraphCandidateSource, + ) + + override val sources: Set[CandidateSource[PostNuxMlRequest, CandidateUser]] = ( + geoSources ++ socialSources ++ activitySources + ).toSet +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCandidateSourceWeightParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCandidateSourceWeightParams.scala new file mode 100644 index 000000000..9492747a4 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCandidateSourceWeightParams.scala @@ -0,0 +1,177 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.Param + +abstract class PostNuxMlCandidateSourceWeightParams[A](default: A) extends Param[A](default) { + override val statName: String = "post_nux_ml/" + this.getClass.getSimpleName +} + +object PostNuxMlCandidateSourceWeightParams { + + case object CandidateWeightCrowdSearch + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightCrowdSearch, + 1.0, + 0.0, + 1000.0 + ) + + case object CandidateWeightTopOrganicFollow + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightTopOrganicFollow, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightPPMILocaleFollow + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightPPMILocaleFollow, + 1.0, + 0.0, + 1000.0 + ) + + case object CandidateWeightForwardEmailBook + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightForwardEmailBook, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightForwardPhoneBook + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightForwardPhoneBook, + 1.0, + 0.0, + 1000.0 + ) + + case object CandidateWeightOfflineStrongTiePrediction + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightOfflineStrongTiePrediction, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightOnlineStp + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightOnlineStp, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightPopCountry + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightPopCountry, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightPopGeohash + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightPopGeohash, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightPopGeohashQualityFollow + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightPopGeohashQualityFollow, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightPopGeoBackfill + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightPopGeoBackfill, + 1, + 0.0, + 1000.0 + ) + case object CandidateWeightRecentFollowingSimilarUsers + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightRecentFollowingSimilarUsers, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightRecentEngagementDirectFollowSalsaExpansion + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightRecentEngagementDirectFollowSalsaExpansion, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightRecentEngagementNonDirectFollow + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightRecentEngagementNonDirectFollow, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightRecentEngagementSimilarUsers + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightRecentEngagementSimilarUsers, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightRepeatedProfileVisits + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightRepeatedProfileVisits, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightFollow2vecNearestNeighbors + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightFollow2vecNearestNeighbors, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightReverseEmailBook + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightReverseEmailBook, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightReversePhoneBook + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightReversePhoneBook, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightTriangularLoops + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightTriangularLoops, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightTwoHopRandomWalk + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightTwoHopRandomWalk, + 1.0, + 0.0, + 1000.0 + ) + case object CandidateWeightUserUserGraph + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightUserUserGraph, + 1.0, + 0.0, + 1000.0 + ) + + case object CandidateWeightRealGraphOonV2 + extends FSBoundedParam[Double]( + PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.CandidateWeightRealGraphOonV2, + 1.0, + 0.0, + 2000.0 + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCombinedRankerBuilder.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCombinedRankerBuilder.scala new file mode 100644 index 000000000..14e982a41 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlCombinedRankerBuilder.scala @@ -0,0 +1,193 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.google.inject.Inject +import com.google.inject.Singleton +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.IdentityRanker +import com.twitter.follow_recommendations.common.base.IdentityTransform +import com.twitter.follow_recommendations.common.base.Ranker +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.models._ +import com.twitter.follow_recommendations.common.rankers.common.RankerId +import com.twitter.follow_recommendations.common.rankers.fatigue_ranker.ImpressionBasedFatigueRanker +import com.twitter.follow_recommendations.common.rankers.first_n_ranker.FirstNRanker +import com.twitter.follow_recommendations.common.rankers.first_n_ranker.FirstNRankerParams +import com.twitter.follow_recommendations.common.rankers.interleave_ranker.InterleaveRanker +import com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking.HydrateFeaturesTransform +import com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking.MlRanker +import com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking.MlRankerParams +import com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker.WeightedCandidateSourceRanker +import com.twitter.follow_recommendations.configapi.candidates.HydrateCandidateParamsTransform +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.timelines.configapi.HasParams + +/** + * Used to build the combined ranker comprising 4 stages of ranking: + * - weighted sampler + * - truncating to the top N merged results for ranking + * - ML ranker + * - Interleaving ranker for producer-side experiments + * - impression-based fatigueing + */ +@Singleton +class PostNuxMlCombinedRankerBuilder[ + T <: HasParams with HasSimilarToContext with HasClientContext with HasExcludedUserIds with HasDisplayLocation with HasDebugOptions with HasPreFetchedFeature with HasDismissedUserIds with HasQualityFactor] @Inject() ( + firstNRanker: FirstNRanker[T], + hydrateFeaturesTransform: HydrateFeaturesTransform[T], + hydrateCandidateParamsTransform: HydrateCandidateParamsTransform[T], + mlRanker: MlRanker[T], + statsReceiver: StatsReceiver) { + private[this] val stats: StatsReceiver = statsReceiver.scope("post_nux_ml_ranker") + + // we construct each ranker independently and chain them together + def build( + request: T, + candidateSourceWeights: Map[CandidateSourceIdentifier, Double] + ): Ranker[T, CandidateUser] = { + val displayLocationStats = stats.scope(request.displayLocation.toString) + val weightedRankerStats: StatsReceiver = + displayLocationStats.scope("weighted_candidate_source_ranker") + val firstNRankerStats: StatsReceiver = + displayLocationStats.scope("first_n_ranker") + val hydrateCandidateParamsStats = + displayLocationStats.scope("hydrate_candidate_params") + val fatigueRankerStats = displayLocationStats.scope("fatigue_ranker") + val interleaveRankerStats = + displayLocationStats.scope("interleave_ranker") + val allRankersStats = displayLocationStats.scope("all_rankers") + + // Checking if the heavy-ranker is an experimental model. + // If it is, InterleaveRanker and candidate parameter hydration are disabled. + // *NOTE* that consumer-side experiments should at any time take a small % of traffic, less + // than 20% for instance, to leave enough room for producer experiments. Increasing bucket + // size for producer experiments lead to other issues and is not a viable option for faster + // experiments. + val requestRankerId = request.params(MlRankerParams.RequestScorerIdParam) + if (requestRankerId != RankerId.PostNuxProdRanker) { + hydrateCandidateParamsStats.counter(s"disabled_by_${requestRankerId.toString}").incr() + interleaveRankerStats.counter(s"disabled_by_${requestRankerId.toString}").incr() + } + + // weighted ranker that samples from the candidate sources + val weightedRanker = WeightedCandidateSourceRanker + .build[T]( + candidateSourceWeights, + request.params(PostNuxMlParams.CandidateShuffler).shuffle(request.getRandomizationSeed), + randomSeed = request.getRandomizationSeed + ).observe(weightedRankerStats) + + // ranker that takes the first n results (ie truncates output) while merging duplicates + val firstNRankerObs = firstNRanker.observe(firstNRankerStats) + // either ML ranker that uses deepbirdv2 to score or no ranking + val mainRanker: Ranker[T, CandidateUser] = + buildMainRanker(request, requestRankerId == RankerId.PostNuxProdRanker, displayLocationStats) + // fatigue ranker that uses wtf impressions to fatigue + val fatigueRanker = buildFatigueRanker(request, fatigueRankerStats).observe(fatigueRankerStats) + + // interleaveRanker combines rankings from several rankers and enforces candidates' ranks in + // experiment buckets according to their assigned ranker model. + val interleaveRanker = + buildInterleaveRanker( + request, + requestRankerId == RankerId.PostNuxProdRanker, + interleaveRankerStats) + .observe(interleaveRankerStats) + + weightedRanker + .andThen(firstNRankerObs) + .andThen(mainRanker) + .andThen(fatigueRanker) + .andThen(interleaveRanker) + .observe(allRankersStats) + } + + def buildMainRanker( + request: T, + isMainRankerPostNuxProd: Boolean, + displayLocationStats: StatsReceiver + ): Ranker[T, CandidateUser] = { + + // note that we may be disabling heavy ranker for users not bucketed + // (due to empty results from the new candidate source) + // need a better solution in the future + val mlRankerStats = displayLocationStats.scope("ml_ranker") + val noMlRankerStats = displayLocationStats.scope("no_ml_ranker") + val hydrateFeaturesStats = + displayLocationStats.scope("hydrate_features") + val hydrateCandidateParamsStats = + displayLocationStats.scope("hydrate_candidate_params") + val notHydrateCandidateParamsStats = + displayLocationStats.scope("not_hydrate_candidate_params") + val rankerStats = displayLocationStats.scope("ranker") + val mlRankerDisabledByExperimentsCounter = + mlRankerStats.counter("disabled_by_experiments") + val mlRankerDisabledByQualityFactorCounter = + mlRankerStats.counter("disabled_by_quality_factor") + + val disabledByQualityFactor = request.qualityFactor + .exists(_ <= request.params(PostNuxMlParams.TurnoffMLScorerQFThreshold)) + + if (disabledByQualityFactor) + mlRankerDisabledByQualityFactorCounter.incr() + + if (request.params(PostNuxMlParams.UseMlRanker) && !disabledByQualityFactor) { + + val hydrateFeatures = hydrateFeaturesTransform + .observe(hydrateFeaturesStats) + + val optionalHydratedParamsTransform: Transform[T, CandidateUser] = { + // We disable candidate parameter hydration for experimental heavy-ranker models. + if (isMainRankerPostNuxProd && + request.params(PostNuxMlParams.EnableCandidateParamHydration)) { + hydrateCandidateParamsTransform + .observe(hydrateCandidateParamsStats) + } else { + new IdentityTransform[T, CandidateUser]() + .observe(notHydrateCandidateParamsStats) + } + } + val candidateSize = request.params(FirstNRankerParams.CandidatesToRank) + Ranker + .chain( + hydrateFeatures.andThen(optionalHydratedParamsTransform), + mlRanker.observe(mlRankerStats), + ) + .within( + request.params(PostNuxMlParams.MlRankerBudget), + rankerStats.scope(s"n$candidateSize")) + } else { + new IdentityRanker[T, CandidateUser].observe(noMlRankerStats) + } + } + + def buildInterleaveRanker( + request: T, + isMainRankerPostNuxProd: Boolean, + interleaveRankerStats: StatsReceiver + ): Ranker[T, CandidateUser] = { + // InterleaveRanker is enabled only for display locations powered by the PostNux heavy-ranker. + if (request.params(PostNuxMlParams.EnableInterleaveRanker) && + // InterleaveRanker is disabled for requests with experimental heavy-rankers. + isMainRankerPostNuxProd) { + new InterleaveRanker[T](interleaveRankerStats) + } else { + new IdentityRanker[T, CandidateUser]() + } + } + + def buildFatigueRanker( + request: T, + fatigueRankerStats: StatsReceiver + ): Ranker[T, CandidateUser] = { + if (request.params(PostNuxMlParams.EnableFatigueRanker)) { + ImpressionBasedFatigueRanker + .build[T]( + fatigueRankerStats + ).within(request.params(PostNuxMlParams.FatigueRankerBudget), fatigueRankerStats) + } else { + new IdentityRanker[T, CandidateUser]() + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlow.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlow.scala new file mode 100644 index 000000000..092f07100 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlow.scala @@ -0,0 +1,304 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.EnrichedCandidateSource._ +import com.twitter.follow_recommendations.common.base._ +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.FilterReason +import com.twitter.follow_recommendations.common.predicates.dismiss.DismissedCandidatePredicate +import com.twitter.follow_recommendations.common.predicates.gizmoduck.GizmoduckPredicate +import com.twitter.follow_recommendations.common.transforms.ranker_id.RandomRankerIdTransform +import com.twitter.follow_recommendations.common.predicates.sgs.InvalidTargetCandidateRelationshipTypesPredicate +import com.twitter.follow_recommendations.common.predicates.sgs.RecentFollowingPredicate +import com.twitter.follow_recommendations.common.predicates.CandidateParamPredicate +import com.twitter.follow_recommendations.common.predicates.CandidateSourceParamPredicate +import com.twitter.follow_recommendations.common.predicates.CuratedCompetitorListPredicate +import com.twitter.follow_recommendations.common.predicates.ExcludedUserIdPredicate +import com.twitter.follow_recommendations.common.predicates.InactivePredicate +import com.twitter.follow_recommendations.common.predicates.PreviouslyRecommendedUserIdsPredicate +import com.twitter.follow_recommendations.common.predicates.user_activity.NonNearZeroUserActivityPredicate +import com.twitter.follow_recommendations.common.transforms.dedup.DedupTransform +import com.twitter.follow_recommendations.common.transforms.modify_social_proof.ModifySocialProofTransform +import com.twitter.follow_recommendations.common.transforms.tracking_token.TrackingTokenTransform +import com.twitter.follow_recommendations.common.transforms.weighted_sampling.SamplingTransform +import com.twitter.follow_recommendations.configapi.candidates.CandidateUserParamsFactory +import com.twitter.follow_recommendations.configapi.params.GlobalParams +import com.twitter.follow_recommendations.configapi.params.GlobalParams.EnableGFSSocialProofTransform +import com.twitter.follow_recommendations.utils.CandidateSourceHoldbackUtil +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.timelines.configapi.Params +import com.twitter.util.Duration + +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.follow_recommendations.common.predicates.hss.HssPredicate +import com.twitter.follow_recommendations.common.predicates.sgs.InvalidRelationshipPredicate +import com.twitter.follow_recommendations.common.transforms.modify_social_proof.RemoveAccountProofTransform +import com.twitter.follow_recommendations.logging.FrsLogger +import com.twitter.follow_recommendations.models.RecommendationFlowData +import com.twitter.follow_recommendations.utils.RecommendationFlowBaseSideEffectsUtil +import com.twitter.product_mixer.core.model.common.identifier.RecommendationPipelineIdentifier +import com.twitter.product_mixer.core.quality_factor.BoundsWithDefault +import com.twitter.product_mixer.core.quality_factor.LinearLatencyQualityFactor +import com.twitter.product_mixer.core.quality_factor.LinearLatencyQualityFactorConfig +import com.twitter.product_mixer.core.quality_factor.LinearLatencyQualityFactorObserver +import com.twitter.product_mixer.core.quality_factor.QualityFactorObserver +import com.twitter.stitch.Stitch + +/** + * We use this flow for all post-nux display locations that would use a machine-learning-based-ranker + * eg HTL, Sidebar, etc + * Note that the RankedPostNuxFlow is used primarily for scribing/data collection, and doesn't + * incorporate all of the other components in a flow (candidate source generation, predicates etc) + */ +@Singleton +class PostNuxMlFlow @Inject() ( + postNuxMlCandidateSourceRegistry: PostNuxMlCandidateSourceRegistry, + postNuxMlCombinedRankerBuilder: PostNuxMlCombinedRankerBuilder[PostNuxMlRequest], + curatedCompetitorListPredicate: CuratedCompetitorListPredicate, + gizmoduckPredicate: GizmoduckPredicate, + sgsPredicate: InvalidTargetCandidateRelationshipTypesPredicate, + hssPredicate: HssPredicate, + invalidRelationshipPredicate: InvalidRelationshipPredicate, + recentFollowingPredicate: RecentFollowingPredicate, + nonNearZeroUserActivityPredicate: NonNearZeroUserActivityPredicate, + inactivePredicate: InactivePredicate, + dismissedCandidatePredicate: DismissedCandidatePredicate, + previouslyRecommendedUserIdsPredicate: PreviouslyRecommendedUserIdsPredicate, + modifySocialProofTransform: ModifySocialProofTransform, + removeAccountProofTransform: RemoveAccountProofTransform, + trackingTokenTransform: TrackingTokenTransform, + randomRankerIdTransform: RandomRankerIdTransform, + candidateParamsFactory: CandidateUserParamsFactory[PostNuxMlRequest], + samplingTransform: SamplingTransform, + frsLogger: FrsLogger, + baseStatsReceiver: StatsReceiver) + extends RecommendationFlow[PostNuxMlRequest, CandidateUser] + with RecommendationFlowBaseSideEffectsUtil[PostNuxMlRequest, CandidateUser] + with CandidateSourceHoldbackUtil { + override protected val targetEligibility: Predicate[PostNuxMlRequest] = + new ParamPredicate[PostNuxMlRequest](PostNuxMlParams.TargetEligibility) + + override val statsReceiver: StatsReceiver = baseStatsReceiver.scope("post_nux_ml_flow") + + override val qualityFactorObserver: Option[QualityFactorObserver] = { + val config = LinearLatencyQualityFactorConfig( + qualityFactorBounds = + BoundsWithDefault(minInclusive = 0.1, maxInclusive = 1.0, default = 1.0), + initialDelay = 60.seconds, + targetLatency = 700.milliseconds, + targetLatencyPercentile = 95.0, + delta = 0.001 + ) + val qualityFactor = LinearLatencyQualityFactor(config) + val observer = LinearLatencyQualityFactorObserver(qualityFactor) + statsReceiver.provideGauge("quality_factor")(qualityFactor.currentValue.toFloat) + Some(observer) + } + + override protected def updateTarget(request: PostNuxMlRequest): Stitch[PostNuxMlRequest] = { + Stitch.value( + request.copy(qualityFactor = qualityFactorObserver.map(_.qualityFactor.currentValue)) + ) + } + + private[post_nux_ml] def getCandidateSourceIdentifiers( + params: Params + ): Set[CandidateSourceIdentifier] = { + PostNuxMlFlowCandidateSourceWeights.getWeights(params).keySet + } + + override protected def candidateSources( + request: PostNuxMlRequest + ): Seq[CandidateSource[PostNuxMlRequest, CandidateUser]] = { + val identifiers = getCandidateSourceIdentifiers(request.params) + val selected: Set[CandidateSource[PostNuxMlRequest, CandidateUser]] = + postNuxMlCandidateSourceRegistry.select(identifiers) + val budget: Duration = request.params(PostNuxMlParams.FetchCandidateSourceBudget) + filterCandidateSources( + request, + selected.map(c => c.failOpenWithin(budget, statsReceiver)).toSeq) + } + + override protected val preRankerCandidateFilter: Predicate[(PostNuxMlRequest, CandidateUser)] = { + val stats = statsReceiver.scope("pre_ranker") + + object excludeNearZeroUserPredicate + extends GatedPredicateBase[(PostNuxMlRequest, CandidateUser)]( + nonNearZeroUserActivityPredicate, + stats.scope("exclude_near_zero_predicate") + ) { + override def gate(item: (PostNuxMlRequest, CandidateUser)): Boolean = + item._1.params(PostNuxMlParams.ExcludeNearZeroCandidates) + } + + object invalidRelationshipGatedPredicate + extends GatedPredicateBase[(PostNuxMlRequest, CandidateUser)]( + invalidRelationshipPredicate, + stats.scope("invalid_relationship_predicate") + ) { + override def gate(item: (PostNuxMlRequest, CandidateUser)): Boolean = + item._1.params(PostNuxMlParams.EnableInvalidRelationshipPredicate) + } + + ExcludedUserIdPredicate + .observe(stats.scope("exclude_user_id_predicate")) + .andThen( + recentFollowingPredicate.observe(stats.scope("recent_following_predicate")) + ) + .andThen( + dismissedCandidatePredicate.observe(stats.scope("dismissed_candidate_predicate")) + ) + .andThen( + previouslyRecommendedUserIdsPredicate.observe( + stats.scope("previously_recommended_user_ids_predicate")) + ) + .andThen( + invalidRelationshipGatedPredicate.observe(stats.scope("invalid_relationship_predicate")) + ) + .andThen( + excludeNearZeroUserPredicate.observe(stats.scope("exclude_near_zero_user_state")) + ) + .observe(stats.scope("overall_pre_ranker_candidate_filter")) + } + + override protected def selectRanker( + request: PostNuxMlRequest + ): Ranker[PostNuxMlRequest, CandidateUser] = { + postNuxMlCombinedRankerBuilder.build( + request, + PostNuxMlFlowCandidateSourceWeights.getWeights(request.params)) + } + + override protected val postRankerTransform: Transform[PostNuxMlRequest, CandidateUser] = { + new DedupTransform[PostNuxMlRequest, CandidateUser] + .observe(statsReceiver.scope("dedupping")) + .andThen( + samplingTransform + .gated(PostNuxMlParams.SamplingTransformEnabled) + .observe(statsReceiver.scope("samplingtransform"))) + } + + override protected val validateCandidates: Predicate[(PostNuxMlRequest, CandidateUser)] = { + val stats = statsReceiver.scope("validate_candidates") + val competitorPredicate = + curatedCompetitorListPredicate.map[(PostNuxMlRequest, CandidateUser)](_._2) + + val producerHoldbackPredicate = new CandidateParamPredicate[CandidateUser]( + GlobalParams.KeepUserCandidate, + FilterReason.CandidateSideHoldback + ).map[(PostNuxMlRequest, CandidateUser)] { + case (request, user) => candidateParamsFactory(user, request) + } + val pymkProducerHoldbackPredicate = new CandidateSourceParamPredicate( + GlobalParams.KeepSocialUserCandidate, + FilterReason.CandidateSideHoldback, + CandidateSourceHoldbackUtil.SocialCandidateSourceIds + ).map[(PostNuxMlRequest, CandidateUser)] { + case (request, user) => candidateParamsFactory(user, request) + } + val sgsPredicateStats = stats.scope("sgs_predicate") + object sgsGatedPredicate + extends GatedPredicateBase[(PostNuxMlRequest, CandidateUser)]( + sgsPredicate.observe(sgsPredicateStats), + sgsPredicateStats + ) { + + /** + * When SGS predicate is turned off, only query SGS exists API for (user, candidate, relationship) + * when the user's number of invalid relationships exceeds the threshold during request + * building step. This is to minimize load to SGS and underlying Flock DB. + */ + override def gate(item: (PostNuxMlRequest, CandidateUser)): Boolean = + item._1.params(PostNuxMlParams.EnableSGSPredicate) || + SocialGraphClient.enablePostRankerSgsPredicate( + item._1.invalidRelationshipUserIds.getOrElse(Set.empty).size) + } + + val hssPredicateStats = stats.scope("hss_predicate") + object hssGatedPredicate + extends GatedPredicateBase[(PostNuxMlRequest, CandidateUser)]( + hssPredicate.observe(hssPredicateStats), + hssPredicateStats + ) { + override def gate(item: (PostNuxMlRequest, CandidateUser)): Boolean = + item._1.params(PostNuxMlParams.EnableHssPredicate) + } + + Predicate + .andConcurrently[(PostNuxMlRequest, CandidateUser)]( + Seq( + competitorPredicate.observe(stats.scope("curated_competitor_predicate")), + gizmoduckPredicate.observe(stats.scope("gizmoduck_predicate")), + sgsGatedPredicate, + hssGatedPredicate, + inactivePredicate.observe(stats.scope("inactive_predicate")), + ) + ) + // to avoid dilutions, we need to apply the receiver holdback predicates at the very last step + .andThen(pymkProducerHoldbackPredicate.observe(stats.scope("pymk_receiver_side_holdback"))) + .andThen(producerHoldbackPredicate.observe(stats.scope("receiver_side_holdback"))) + .observe(stats.scope("overall_validate_candidates")) + } + + override protected val transformResults: Transform[PostNuxMlRequest, CandidateUser] = { + modifySocialProofTransform + .gated(EnableGFSSocialProofTransform) + .andThen(trackingTokenTransform) + .andThen(randomRankerIdTransform.gated(PostNuxMlParams.LogRandomRankerId)) + .andThen(removeAccountProofTransform.gated(PostNuxMlParams.EnableRemoveAccountProofTransform)) + } + + override protected def resultsConfig(request: PostNuxMlRequest): RecommendationResultsConfig = { + RecommendationResultsConfig( + request.maxResults.getOrElse(request.params(PostNuxMlParams.ResultSizeParam)), + request.params(PostNuxMlParams.BatchSizeParam) + ) + } + + override def applySideEffects( + target: PostNuxMlRequest, + candidateSources: Seq[CandidateSource[PostNuxMlRequest, CandidateUser]], + candidatesFromCandidateSources: Seq[CandidateUser], + mergedCandidates: Seq[CandidateUser], + filteredCandidates: Seq[CandidateUser], + rankedCandidates: Seq[CandidateUser], + transformedCandidates: Seq[CandidateUser], + truncatedCandidates: Seq[CandidateUser], + results: Seq[CandidateUser] + ): Stitch[Unit] = { + frsLogger.logRecommendationFlowData[PostNuxMlRequest]( + target, + RecommendationFlowData[PostNuxMlRequest]( + target, + PostNuxMlFlow.identifier, + candidateSources, + candidatesFromCandidateSources, + mergedCandidates, + filteredCandidates, + rankedCandidates, + transformedCandidates, + truncatedCandidates, + results + ) + ) + super.applySideEffects( + target, + candidateSources, + candidatesFromCandidateSources, + mergedCandidates, + filteredCandidates, + rankedCandidates, + transformedCandidates, + truncatedCandidates, + results + ) + } +} + +object PostNuxMlFlow { + val identifier = RecommendationPipelineIdentifier("PostNuxMlFlow") +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowCandidateSourceWeights.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowCandidateSourceWeights.scala new file mode 100644 index 000000000..edb447cba --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowCandidateSourceWeights.scala @@ -0,0 +1,68 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ForwardPhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReverseEmailBookSource +import com.twitter.follow_recommendations.common.candidate_sources.addressbook.ReversePhoneBookSource +import com.twitter.follow_recommendations.common.candidate_sources.crowd_search_accounts.CrowdSearchAccountsSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountryBackFillSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountrySource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeohashQualityFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeohashSource +import com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow.PPMILocaleFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.real_graph.RealGraphOonV2Source +import com.twitter.follow_recommendations.common.candidate_sources.recent_engagement.RecentEngagementNonDirectFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.recent_engagement.RepeatedProfileVisitsSource +import com.twitter.follow_recommendations.common.candidate_sources.salsa.RecentEngagementDirectFollowSalsaExpansionSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentEngagementSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentFollowingSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.sims.Follow2vecNearestNeighborsStore +import com.twitter.follow_recommendations.common.candidate_sources.stp.BaseOnlineSTPSource +import com.twitter.follow_recommendations.common.candidate_sources.stp.OfflineStrongTiePredictionSource +import com.twitter.follow_recommendations.common.candidate_sources.top_organic_follows_accounts.TopOrganicFollowsAccountsSource +import com.twitter.follow_recommendations.common.candidate_sources.triangular_loops.TriangularLoopsSource +import com.twitter.follow_recommendations.common.candidate_sources.two_hop_random_walk.TwoHopRandomWalkSource +import com.twitter.follow_recommendations.common.candidate_sources.user_user_graph.UserUserGraphCandidateSource +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlCandidateSourceWeightParams._ +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.timelines.configapi.Params + +object PostNuxMlFlowCandidateSourceWeights { + + def getWeights(params: Params): Map[CandidateSourceIdentifier, Double] = { + Map[CandidateSourceIdentifier, Double]( + // Social based + PPMILocaleFollowSource.Identifier -> params(CandidateWeightPPMILocaleFollow), + Follow2vecNearestNeighborsStore.IdentifierF2vLinearRegression -> params( + CandidateWeightFollow2vecNearestNeighbors), + RecentFollowingSimilarUsersSource.Identifier -> params( + CandidateWeightRecentFollowingSimilarUsers), + BaseOnlineSTPSource.Identifier -> params(CandidateWeightOnlineStp), + OfflineStrongTiePredictionSource.Identifier -> params( + CandidateWeightOfflineStrongTiePrediction), + ForwardEmailBookSource.Identifier -> params(CandidateWeightForwardEmailBook), + ForwardPhoneBookSource.Identifier -> params(CandidateWeightForwardPhoneBook), + ReverseEmailBookSource.Identifier -> params(CandidateWeightReverseEmailBook), + ReversePhoneBookSource.Identifier -> params(CandidateWeightReversePhoneBook), + TriangularLoopsSource.Identifier -> params(CandidateWeightTriangularLoops), + TwoHopRandomWalkSource.Identifier -> params(CandidateWeightTwoHopRandomWalk), + UserUserGraphCandidateSource.Identifier -> params(CandidateWeightUserUserGraph), + // Geo based + PopCountrySource.Identifier -> params(CandidateWeightPopCountry), + PopCountryBackFillSource.Identifier -> params(CandidateWeightPopGeoBackfill), + PopGeohashSource.Identifier -> params(CandidateWeightPopGeohash), + PopGeohashQualityFollowSource.Identifier -> params(CandidateWeightPopGeohashQualityFollow), + CrowdSearchAccountsSource.Identifier -> params(CandidateWeightCrowdSearch), + TopOrganicFollowsAccountsSource.Identifier -> params(CandidateWeightTopOrganicFollow), + // Engagement based + RealGraphOonV2Source.Identifier -> params(CandidateWeightRealGraphOonV2), + RecentEngagementNonDirectFollowSource.Identifier -> params( + CandidateWeightRecentEngagementNonDirectFollow), + RecentEngagementSimilarUsersSource.Identifier -> params( + CandidateWeightRecentEngagementSimilarUsers), + RepeatedProfileVisitsSource.Identifier -> params(CandidateWeightRepeatedProfileVisits), + RecentEngagementDirectFollowSalsaExpansionSource.Identifier -> params( + CandidateWeightRecentEngagementDirectFollowSalsaExpansion), + ) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.scala new file mode 100644 index 000000000..f329cbd13 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys.scala @@ -0,0 +1,46 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +object PostNuxMlFlowCandidateSourceWeightsFeatureSwitchKeys { + val CandidateWeightCrowdSearch = "post_nux_ml_flow_candidate_source_weights_user_crowd_search" + val CandidateWeightTopOrganicFollow = + "post_nux_ml_flow_candidate_source_weights_top_organic_follow" + val CandidateWeightPPMILocaleFollow = + "post_nux_ml_flow_candidate_source_weights_user_ppmi_locale_follow" + val CandidateWeightForwardEmailBook = + "post_nux_ml_flow_candidate_source_weights_user_forward_email_book" + val CandidateWeightForwardPhoneBook = + "post_nux_ml_flow_candidate_source_weights_user_forward_phone_book" + val CandidateWeightOfflineStrongTiePrediction = + "post_nux_ml_flow_candidate_source_weights_user_offline_strong_tie_prediction" + val CandidateWeightOnlineStp = "post_nux_ml_flow_candidate_source_weights_user_online_stp" + val CandidateWeightPopCountry = "post_nux_ml_flow_candidate_source_weights_user_pop_country" + val CandidateWeightPopGeohash = "post_nux_ml_flow_candidate_source_weights_user_pop_geohash" + val CandidateWeightPopGeohashQualityFollow = + "post_nux_ml_flow_candidate_source_weights_user_pop_geohash_quality_follow" + val CandidateWeightPopGeoBackfill = + "post_nux_ml_flow_candidate_source_weights_user_pop_geo_backfill" + val CandidateWeightRecentFollowingSimilarUsers = + "post_nux_ml_flow_candidate_source_weights_user_recent_following_similar_users" + val CandidateWeightRecentEngagementDirectFollowSalsaExpansion = + "post_nux_ml_flow_candidate_source_weights_user_recent_engagement_direct_follow_salsa_expansion" + val CandidateWeightRecentEngagementNonDirectFollow = + "post_nux_ml_flow_candidate_source_weights_user_recent_engagement_non_direct_follow" + val CandidateWeightRecentEngagementSimilarUsers = + "post_nux_ml_flow_candidate_source_weights_user_recent_engagement_similar_users" + val CandidateWeightRepeatedProfileVisits = + "post_nux_ml_flow_candidate_source_weights_user_repeated_profile_visits" + val CandidateWeightFollow2vecNearestNeighbors = + "post_nux_ml_flow_candidate_source_weights_user_follow2vec_nearest_neighbors" + val CandidateWeightReverseEmailBook = + "post_nux_ml_flow_candidate_source_weights_user_reverse_email_book" + val CandidateWeightReversePhoneBook = + "post_nux_ml_flow_candidate_source_weights_user_reverse_phone_book" + val CandidateWeightTriangularLoops = + "post_nux_ml_flow_candidate_source_weights_user_triangular_loops" + val CandidateWeightTwoHopRandomWalk = + "post_nux_ml_flow_candidate_source_weights_user_two_hop_random_walk" + val CandidateWeightUserUserGraph = + "post_nux_ml_flow_candidate_source_weights_user_user_user_graph" + val CandidateWeightRealGraphOonV2 = + "post_nux_ml_flow_candidate_source_weights_user_real_graph_oon_v2" +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowFSConfig.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowFSConfig.scala new file mode 100644 index 000000000..0dd059dad --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowFSConfig.scala @@ -0,0 +1,80 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker.NoShuffle +import com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker.RandomShuffler +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PostNuxMlFlowFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = Seq( + PostNuxMlParams.OnlineSTPEnabled, + PostNuxMlParams.SamplingTransformEnabled, + PostNuxMlParams.Follow2VecLinearRegressionEnabled, + PostNuxMlParams.UseMlRanker, + PostNuxMlParams.EnableCandidateParamHydration, + PostNuxMlParams.EnableInterleaveRanker, + PostNuxMlParams.EnableAdhocRanker, + PostNuxMlParams.ExcludeNearZeroCandidates, + PostNuxMlParams.IncludeRepeatedProfileVisitsCandidateSource, + PostNuxMlParams.EnableInterestsOptOutPredicate, + PostNuxMlParams.EnableSGSPredicate, + PostNuxMlParams.EnableInvalidRelationshipPredicate, + PostNuxMlParams.EnableRemoveAccountProofTransform, + PostNuxMlParams.EnablePPMILocaleFollowSourceInPostNux, + PostNuxMlParams.EnableRealGraphOonV2, + PostNuxMlParams.GetFollowersFromSgs, + PostNuxMlRequestBuilderParams.EnableInvalidRelationshipPredicate + ) + + override val doubleFSParams: Seq[FSBoundedParam[Double]] = Seq( + PostNuxMlCandidateSourceWeightParams.CandidateWeightCrowdSearch, + PostNuxMlCandidateSourceWeightParams.CandidateWeightTopOrganicFollow, + PostNuxMlCandidateSourceWeightParams.CandidateWeightPPMILocaleFollow, + PostNuxMlCandidateSourceWeightParams.CandidateWeightForwardEmailBook, + PostNuxMlCandidateSourceWeightParams.CandidateWeightForwardPhoneBook, + PostNuxMlCandidateSourceWeightParams.CandidateWeightOfflineStrongTiePrediction, + PostNuxMlCandidateSourceWeightParams.CandidateWeightOnlineStp, + PostNuxMlCandidateSourceWeightParams.CandidateWeightPopCountry, + PostNuxMlCandidateSourceWeightParams.CandidateWeightPopGeohash, + PostNuxMlCandidateSourceWeightParams.CandidateWeightPopGeohashQualityFollow, + PostNuxMlCandidateSourceWeightParams.CandidateWeightPopGeoBackfill, + PostNuxMlCandidateSourceWeightParams.CandidateWeightRecentFollowingSimilarUsers, + PostNuxMlCandidateSourceWeightParams.CandidateWeightRecentEngagementDirectFollowSalsaExpansion, + PostNuxMlCandidateSourceWeightParams.CandidateWeightRecentEngagementNonDirectFollow, + PostNuxMlCandidateSourceWeightParams.CandidateWeightRecentEngagementSimilarUsers, + PostNuxMlCandidateSourceWeightParams.CandidateWeightRepeatedProfileVisits, + PostNuxMlCandidateSourceWeightParams.CandidateWeightFollow2vecNearestNeighbors, + PostNuxMlCandidateSourceWeightParams.CandidateWeightReverseEmailBook, + PostNuxMlCandidateSourceWeightParams.CandidateWeightReversePhoneBook, + PostNuxMlCandidateSourceWeightParams.CandidateWeightTriangularLoops, + PostNuxMlCandidateSourceWeightParams.CandidateWeightTwoHopRandomWalk, + PostNuxMlCandidateSourceWeightParams.CandidateWeightUserUserGraph, + PostNuxMlCandidateSourceWeightParams.CandidateWeightRealGraphOonV2, + PostNuxMlParams.TurnoffMLScorerQFThreshold + ) + + override val durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = Seq( + PostNuxMlParams.MlRankerBudget, + PostNuxMlRequestBuilderParams.TopicIdFetchBudget, + PostNuxMlRequestBuilderParams.DismissedIdScanBudget, + PostNuxMlRequestBuilderParams.WTFImpressionsScanBudget + ) + + override val gatedOverridesMap = Map( + PostNuxMlFlowFeatureSwitchKeys.EnableRandomDataCollection -> Seq( + PostNuxMlParams.CandidateShuffler := new RandomShuffler[CandidateUser], + PostNuxMlParams.LogRandomRankerId := true + ), + PostNuxMlFlowFeatureSwitchKeys.EnableNoShuffler -> Seq( + PostNuxMlParams.CandidateShuffler := new NoShuffle[CandidateUser] + ), + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowFeatureSwitchKeys.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowFeatureSwitchKeys.scala new file mode 100644 index 000000000..6a44c4bbb --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlFlowFeatureSwitchKeys.scala @@ -0,0 +1,27 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +object PostNuxMlFlowFeatureSwitchKeys { + val UseMlRanker = "post_nux_ml_flow_use_ml_ranker" + val EnableCandidateParamHydration = "post_nux_ml_flow_enable_candidate_param_hydration" + val OnlineSTPEnabled = "post_nux_ml_flow_online_stp_source_enabled" + val Follow2VecLinearRegressionEnabled = "post_nux_ml_flow_follow_to_vec_lr_source_enabled" + val EnableRandomDataCollection = "post_nux_ml_flow_random_data_collection_enabled" + val EnableAdhocRanker = "post_nux_ml_flow_adhoc_ranker_enabled" + val EnableFatigueRanker = "post_nux_ml_flow_fatigue_ranker_enabled" + val EnableInterleaveRanker = "post_nux_ml_flow_interleave_ranker_enabled" + val IncludeRepeatedProfileVisitsCandidateSource = + "post_nux_ml_flow_include_repeated_profile_visits_candidate_source" + val MLRankerBudget = "post_nux_ml_flow_ml_ranker_budget_millis" + val EnableNoShuffler = "post_nux_ml_flow_no_shuffler" + val SamplingTransformEnabled = "post_nux_ml_flow_sampling_transform_enabled" + val ExcludeNearZeroCandidates = "post_nux_ml_flow_exclude_near_zero_candidates" + val EnableInterestsOptOutPredicate = "post_nux_ml_flow_enable_interests_opt_out_predicate" + val EnableRemoveAccountProofTransform = "post_nux_ml_flow_enable_remove_account_proof_transform" + val EnablePPMILocaleFollowSourceInPostNux = "post_nux_ml_flow_enable_ppmilocale_follow_source" + val EnableInvalidRelationshipPredicate = "post_nux_ml_flow_enable_invalid_relationship_predicate" + val EnableRealGraphOonV2 = "post_nux_ml_flow_enable_real_graph_oon_v2" + val EnableSGSPredicate = "post_nux_ml_flow_enable_sgs_predicate" + val EnableHssPredicate = "post_nux_ml_flow_enable_hss_predicate" + val GetFollowersFromSgs = "post_nux_ml_flow_get_followers_from_sgs" + val TurnOffMLScorerQFThreshold = "post_nux_ml_flow_turn_off_ml_scorer_threhsold" +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlParams.scala new file mode 100644 index 000000000..cb5cf3648 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlParams.scala @@ -0,0 +1,133 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.conversions.DurationOps._ +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker.CandidateShuffler +import com.twitter.follow_recommendations.common.rankers.weighted_candidate_source_ranker.ExponentialShuffler +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +abstract class PostNuxMlParams[A](default: A) extends Param[A](default) { + override val statName: String = "post_nux_ml/" + this.getClass.getSimpleName +} + +object PostNuxMlParams { + + // infra params: + case object FetchCandidateSourceBudget extends PostNuxMlParams[Duration](90.millisecond) + + // WTF Impression Store has very high tail latency (p9990 or p9999), but p99 latency is pretty good (~100ms) + // set the time budget for this step to be 200ms to make the performance of service more predictable + case object FatigueRankerBudget extends PostNuxMlParams[Duration](200.millisecond) + + case object MlRankerBudget + extends FSBoundedParam[Duration]( + name = PostNuxMlFlowFeatureSwitchKeys.MLRankerBudget, + default = 400.millisecond, + min = 100.millisecond, + max = 800.millisecond) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromMillis + } + + // product params: + case object TargetEligibility extends PostNuxMlParams[Boolean](true) + + case object ResultSizeParam extends PostNuxMlParams[Int](3) + case object BatchSizeParam extends PostNuxMlParams[Int](12) + + case object CandidateShuffler + extends PostNuxMlParams[CandidateShuffler[CandidateUser]]( + new ExponentialShuffler[CandidateUser]) + case object LogRandomRankerId extends PostNuxMlParams[Boolean](false) + + // whether or not to use the ml ranker at all (feature hydration + ranker) + case object UseMlRanker + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.UseMlRanker, false) + + // whether or not to enable candidate param hydration in postnux_ml_flow + case object EnableCandidateParamHydration + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.EnableCandidateParamHydration, false) + + // Whether or not OnlineSTP candidates are considered in the final pool of candidates. + // If set to `false`, the candidate source will be removed *after* all other considerations. + case object OnlineSTPEnabled + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.OnlineSTPEnabled, false) + + // Whether or not the candidates are sampled from a Plackett-Luce model + case object SamplingTransformEnabled + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.SamplingTransformEnabled, false) + + // Whether or not Follow2Vec candidates are considered in the final pool of candidates. + // If set to `false`, the candidate source will be removed *after* all other considerations. + case object Follow2VecLinearRegressionEnabled + extends FSParam[Boolean]( + PostNuxMlFlowFeatureSwitchKeys.Follow2VecLinearRegressionEnabled, + false) + + // Whether or not to enable AdhocRanker to allow adhoc, non-ML, score modifications. + case object EnableAdhocRanker + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.EnableAdhocRanker, false) + + // Whether the impression-based fatigue ranker is enabled or not. + case object EnableFatigueRanker + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.EnableFatigueRanker, true) + + // whether or not to enable InterleaveRanker for producer-side experiments. + case object EnableInterleaveRanker + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.EnableInterleaveRanker, false) + + // whether to exclude users in near zero user state + case object ExcludeNearZeroCandidates + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.ExcludeNearZeroCandidates, false) + + case object EnablePPMILocaleFollowSourceInPostNux + extends FSParam[Boolean]( + PostNuxMlFlowFeatureSwitchKeys.EnablePPMILocaleFollowSourceInPostNux, + false) + + case object EnableInterestsOptOutPredicate + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.EnableInterestsOptOutPredicate, false) + + case object EnableInvalidRelationshipPredicate + extends FSParam[Boolean]( + PostNuxMlFlowFeatureSwitchKeys.EnableInvalidRelationshipPredicate, + false) + + // Totally disabling SGS predicate need to disable EnableInvalidRelationshipPredicate as well + case object EnableSGSPredicate + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.EnableSGSPredicate, true) + + case object EnableHssPredicate + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.EnableHssPredicate, true) + + // Whether or not to include RepeatedProfileVisits as one of the candidate sources in the PostNuxMlFlow. If false, + // RepeatedProfileVisitsSource would not be run for the users in candidate_generation. + case object IncludeRepeatedProfileVisitsCandidateSource + extends FSParam[Boolean]( + PostNuxMlFlowFeatureSwitchKeys.IncludeRepeatedProfileVisitsCandidateSource, + false) + + case object EnableRealGraphOonV2 + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.EnableRealGraphOonV2, false) + + case object GetFollowersFromSgs + extends FSParam[Boolean](PostNuxMlFlowFeatureSwitchKeys.GetFollowersFromSgs, false) + + case object EnableRemoveAccountProofTransform + extends FSParam[Boolean]( + PostNuxMlFlowFeatureSwitchKeys.EnableRemoveAccountProofTransform, + false) + + // quality factor threshold to turn off ML ranker completely + object TurnoffMLScorerQFThreshold + extends FSBoundedParam[Double]( + name = PostNuxMlFlowFeatureSwitchKeys.TurnOffMLScorerQFThreshold, + default = 0.3, + min = 0.1, + max = 1.0) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequest.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequest.scala new file mode 100644 index 000000000..2cb112638 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequest.scala @@ -0,0 +1,54 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.core_workflows.user_model.thriftscala.UserState +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.models._ +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params + +case class PostNuxMlRequest( + override val params: Params, + override val clientContext: ClientContext, + override val similarToUserIds: Seq[Long], + inputExcludeUserIds: Seq[Long], + override val recentFollowedUserIds: Option[Seq[Long]], + override val invalidRelationshipUserIds: Option[Set[Long]], + override val recentFollowedByUserIds: Option[Seq[Long]], + override val dismissedUserIds: Option[Seq[Long]], + override val displayLocation: DisplayLocation, + maxResults: Option[Int] = None, + override val debugOptions: Option[DebugOptions] = None, + override val wtfImpressions: Option[Seq[WtfImpression]], + override val uttInterestIds: Option[Seq[Long]] = None, + override val customInterests: Option[Seq[String]] = None, + override val geohashAndCountryCode: Option[GeohashAndCountryCode] = None, + inputPreviouslyRecommendedUserIds: Option[Set[Long]] = None, + inputPreviouslyFollowedUserIds: Option[Set[Long]] = None, + override val isSoftUser: Boolean = false, + override val userState: Option[UserState] = None, + override val qualityFactor: Option[Double] = None) + extends HasParams + with HasSimilarToContext + with HasClientContext + with HasExcludedUserIds + with HasDisplayLocation + with HasDebugOptions + with HasGeohashAndCountryCode + with HasPreFetchedFeature + with HasDismissedUserIds + with HasInterestIds + with HasPreviousRecommendationsContext + with HasIsSoftUser + with HasUserState + with HasInvalidRelationshipUserIds + with HasQualityFactor { + override val excludedUserIds: Seq[Long] = { + inputExcludeUserIds ++ clientContext.userId.toSeq ++ similarToUserIds + } + override val previouslyRecommendedUserIDs: Set[Long] = + inputPreviouslyRecommendedUserIds.getOrElse(Set.empty) + override val previouslyFollowedUserIds: Set[Long] = + inputPreviouslyFollowedUserIds.getOrElse(Set.empty) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequestBuilder.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequestBuilder.scala new file mode 100644 index 000000000..aeb248b7f --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequestBuilder.scala @@ -0,0 +1,173 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.clients.dismiss_store.DismissStore +import com.twitter.follow_recommendations.common.clients.geoduck.UserLocationFetcher +import com.twitter.follow_recommendations.common.clients.impression_store.WtfImpressionStore +import com.twitter.follow_recommendations.common.clients.interests_service.InterestServiceClient +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.follow_recommendations.common.clients.user_state.UserStateClient +import com.twitter.follow_recommendations.common.predicates.dismiss.DismissedCandidatePredicateParams +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils._ +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlRequestBuilderParams.DismissedIdScanBudget +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlRequestBuilderParams.TopicIdFetchBudget +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlRequestBuilderParams.WTFImpressionsScanBudget +import com.twitter.follow_recommendations.products.common.ProductRequest +import com.twitter.inject.Logging +import com.twitter.stitch.Stitch +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class PostNuxMlRequestBuilder @Inject() ( + socialGraph: SocialGraphClient, + wtfImpressionStore: WtfImpressionStore, + dismissStore: DismissStore, + userLocationFetcher: UserLocationFetcher, + interestServiceClient: InterestServiceClient, + userStateClient: UserStateClient, + statsReceiver: StatsReceiver) + extends Logging { + + val stats: StatsReceiver = statsReceiver.scope("post_nux_ml_request_builder") + val invalidRelationshipUsersStats: StatsReceiver = stats.scope("invalidRelationshipUserIds") + private val invalidRelationshipUsersMaxSizeCounter = + invalidRelationshipUsersStats.counter("maxSize") + private val invalidRelationshipUsersNotMaxSizeCounter = + invalidRelationshipUsersStats.counter("notMaxSize") + + def build( + req: ProductRequest, + previouslyRecommendedUserIds: Option[Set[Long]] = None, + previouslyFollowedUserIds: Option[Set[Long]] = None + ): Stitch[PostNuxMlRequest] = { + val dl = req.recommendationRequest.displayLocation + val resultsStitch = Stitch.collect( + req.recommendationRequest.clientContext.userId + .map { userId => + val lookBackDuration = req.params(DismissedCandidatePredicateParams.LookBackDuration) + val negativeStartTs = -(Time.now - lookBackDuration).inMillis + val recentFollowedUserIdsStitch = + rescueWithStats( + socialGraph.getRecentFollowedUserIds(userId), + stats, + "recentFollowedUserIds") + val invalidRelationshipUserIdsStitch = + if (req.params(PostNuxMlParams.EnableInvalidRelationshipPredicate)) { + rescueWithStats( + socialGraph + .getInvalidRelationshipUserIds(userId) + .onSuccess(ids => + if (ids.size >= SocialGraphClient.MaxNumInvalidRelationship) { + invalidRelationshipUsersMaxSizeCounter.incr() + } else { + invalidRelationshipUsersNotMaxSizeCounter.incr() + }), + stats, + "invalidRelationshipUserIds" + ) + } else { + Stitch.value(Seq.empty) + } + // recentFollowedByUserIds are only used in experiment candidate sources + val recentFollowedByUserIdsStitch = if (req.params(PostNuxMlParams.GetFollowersFromSgs)) { + rescueWithStats( + socialGraph.getRecentFollowedByUserIdsFromCachedColumn(userId), + stats, + "recentFollowedByUserIds") + } else Stitch.value(Seq.empty) + val wtfImpressionsStitch = + rescueWithStatsWithin( + wtfImpressionStore.get(userId, dl), + stats, + "wtfImpressions", + req.params(WTFImpressionsScanBudget)) + val dismissedUserIdsStitch = + rescueWithStatsWithin( + dismissStore.get(userId, negativeStartTs, None), + stats, + "dismissedUserIds", + req.params(DismissedIdScanBudget)) + val locationStitch = + rescueOptionalWithStats( + userLocationFetcher.getGeohashAndCountryCode( + Some(userId), + req.recommendationRequest.clientContext.ipAddress), + stats, + "userLocation" + ) + val topicIdsStitch = + rescueWithStatsWithin( + interestServiceClient.fetchUttInterestIds(userId), + stats, + "topicIds", + req.params(TopicIdFetchBudget)) + val userStateStitch = + rescueOptionalWithStats(userStateClient.getUserState(userId), stats, "userState") + Stitch.join( + recentFollowedUserIdsStitch, + invalidRelationshipUserIdsStitch, + recentFollowedByUserIdsStitch, + dismissedUserIdsStitch, + wtfImpressionsStitch, + locationStitch, + topicIdsStitch, + userStateStitch + ) + }) + + resultsStitch.map { + case Some( + ( + recentFollowedUserIds, + invalidRelationshipUserIds, + recentFollowedByUserIds, + dismissedUserIds, + wtfImpressions, + locationInfo, + topicIds, + userState)) => + PostNuxMlRequest( + params = req.params, + clientContext = req.recommendationRequest.clientContext, + similarToUserIds = Nil, + inputExcludeUserIds = req.recommendationRequest.excludedIds.getOrElse(Nil), + recentFollowedUserIds = Some(recentFollowedUserIds), + invalidRelationshipUserIds = Some(invalidRelationshipUserIds.toSet), + recentFollowedByUserIds = Some(recentFollowedByUserIds), + dismissedUserIds = Some(dismissedUserIds), + displayLocation = dl, + maxResults = req.recommendationRequest.maxResults, + debugOptions = req.recommendationRequest.debugParams.flatMap(_.debugOptions), + wtfImpressions = Some(wtfImpressions), + geohashAndCountryCode = locationInfo, + uttInterestIds = Some(topicIds), + inputPreviouslyRecommendedUserIds = previouslyRecommendedUserIds, + inputPreviouslyFollowedUserIds = previouslyFollowedUserIds, + isSoftUser = req.recommendationRequest.isSoftUser, + userState = userState + ) + case _ => + PostNuxMlRequest( + params = req.params, + clientContext = req.recommendationRequest.clientContext, + similarToUserIds = Nil, + inputExcludeUserIds = req.recommendationRequest.excludedIds.getOrElse(Nil), + recentFollowedUserIds = None, + invalidRelationshipUserIds = None, + recentFollowedByUserIds = None, + dismissedUserIds = None, + displayLocation = dl, + maxResults = req.recommendationRequest.maxResults, + debugOptions = req.recommendationRequest.debugParams.flatMap(_.debugOptions), + wtfImpressions = None, + geohashAndCountryCode = None, + inputPreviouslyRecommendedUserIds = previouslyRecommendedUserIds, + inputPreviouslyFollowedUserIds = previouslyFollowedUserIds, + isSoftUser = req.recommendationRequest.isSoftUser, + userState = None + ) + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequestBuilderParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequestBuilderParams.scala new file mode 100644 index 000000000..da60f0382 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml/PostNuxMlRequestBuilderParams.scala @@ -0,0 +1,45 @@ +package com.twitter.follow_recommendations.flows.post_nux_ml + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.util.Duration +import com.twitter.conversions.DurationOps._ +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasDurationConversion + +object PostNuxMlRequestBuilderParams { + case object TopicIdFetchBudget + extends FSBoundedParam[Duration]( + name = "post_nux_ml_request_builder_topic_id_fetch_budget_millis", + default = 200.millisecond, + min = 80.millisecond, + max = 400.millisecond) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromMillis + } + + case object DismissedIdScanBudget + extends FSBoundedParam[Duration]( + name = "post_nux_ml_request_builder_dismissed_id_scan_budget_millis", + default = 200.millisecond, + min = 80.millisecond, + max = 400.millisecond) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromMillis + } + + case object WTFImpressionsScanBudget + extends FSBoundedParam[Duration]( + name = "post_nux_ml_request_builder_wtf_impressions_scan_budget_millis", + default = 200.millisecond, + min = 80.millisecond, + max = 400.millisecond) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromMillis + } + + case object EnableInvalidRelationshipPredicate + extends FSParam[Boolean]( + name = "post_nux_ml_request_builder_enable_invalid_relationship_predicate", + false) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging/BUILD new file mode 100644 index 000000000..a35992e93 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging/BUILD @@ -0,0 +1,18 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "scribelib/marshallers/src/main/scala/com/twitter/scribelib/marshallers", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging/FrsLogger.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging/FrsLogger.scala new file mode 100644 index 000000000..8b920c556 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging/FrsLogger.scala @@ -0,0 +1,164 @@ +package com.twitter.follow_recommendations.logging + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.follow_recommendations.common.models.HasIsSoftUser +import com.twitter.follow_recommendations.configapi.params.GlobalParams +import com.twitter.follow_recommendations.logging.thriftscala.RecommendationLog +import com.twitter.follow_recommendations.models.DebugParams +import com.twitter.follow_recommendations.models.RecommendationFlowData +import com.twitter.follow_recommendations.models.RecommendationRequest +import com.twitter.follow_recommendations.models.RecommendationResponse +import com.twitter.follow_recommendations.models.ScoringUserRequest +import com.twitter.follow_recommendations.models.ScoringUserResponse +import com.twitter.inject.annotations.Flag +import com.twitter.logging.LoggerFactory +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.scribelib.marshallers.ClientDataProvider +import com.twitter.scribelib.marshallers.ExternalRefererDataProvider +import com.twitter.scribelib.marshallers.ScribeSerialization +import com.twitter.timelines.configapi.HasParams +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +/** + * This is the standard logging class we use to log data into: + * 1) logs.follow_recommendations_logs + * + * This logger logs data for 2 endpoints: getRecommendations, scoreUserCandidates + * All data scribed via this logger have to be converted into the same thrift type: RecommendationLog + * + * 2) logs.frs_recommendation_flow_logs + * + * This logger logs recommendation flow data for getRecommendations requests + * All data scribed via this logger have to be converted into the same thrift type: FrsRecommendationFlowLog + */ +@Singleton +class FrsLogger @Inject() ( + @Named(GuiceNamedConstants.REQUEST_LOGGER) loggerFactory: LoggerFactory, + @Named(GuiceNamedConstants.FLOW_LOGGER) flowLoggerFactory: LoggerFactory, + stats: StatsReceiver, + @Flag("log_results") serviceShouldLogResults: Boolean) + extends ScribeSerialization { + private val logger = loggerFactory.apply() + private val flowLogger = flowLoggerFactory.apply() + private val logRecommendationCounter = stats.counter("scribe_recommendation") + private val logScoringCounter = stats.counter("scribe_scoring") + private val logRecommendationFlowCounter = stats.counter("scribe_recommendation_flow") + + def logRecommendationResult( + request: RecommendationRequest, + response: RecommendationResponse + ): Unit = { + if (!request.isSoftUser) { + val log = + RecommendationLog(request.toOfflineThrift, response.toOfflineThrift, Time.now.inMillis) + logRecommendationCounter.incr() + logger.info( + serializeThrift( + log, + FrsLogger.LogCategory, + FrsLogger.mkProvider(request.clientContext) + )) + } + } + + def logScoringResult(request: ScoringUserRequest, response: ScoringUserResponse): Unit = { + if (!request.isSoftUser) { + val log = + RecommendationLog( + request.toRecommendationRequest.toOfflineThrift, + response.toRecommendationResponse.toOfflineThrift, + Time.now.inMillis) + logScoringCounter.incr() + logger.info( + serializeThrift( + log, + FrsLogger.LogCategory, + FrsLogger.mkProvider(request.toRecommendationRequest.clientContext) + )) + } + } + + def logRecommendationFlowData[Target <: HasClientContext with HasIsSoftUser with HasParams]( + request: Target, + flowData: RecommendationFlowData[Target] + ): Unit = { + if (!request.isSoftUser && request.params(GlobalParams.EnableRecommendationFlowLogs)) { + val log = flowData.toRecommendationFlowLogOfflineThrift + logRecommendationFlowCounter.incr() + flowLogger.info( + serializeThrift( + log, + FrsLogger.FlowLogCategory, + FrsLogger.mkProvider(request.clientContext) + )) + } + } + + // We prefer the settings given in the user request, and if none provided we default to the + // aurora service configuration. + def shouldLog(debugParamsOpt: Option[DebugParams]): Boolean = + debugParamsOpt match { + case Some(debugParams) => + debugParams.debugOptions match { + case Some(debugOptions) => + !debugOptions.doNotLog + case None => + serviceShouldLogResults + } + case None => + serviceShouldLogResults + } + +} + +object FrsLogger { + val LogCategory = "follow_recommendations_logs" + val FlowLogCategory = "frs_recommendation_flow_logs" + + def mkProvider(clientContext: ClientContext) = new ClientDataProvider { + + /** The id of the current user. When the user is logged out, this method should return None. */ + override val userId: Option[Long] = clientContext.userId + + /** The id of the guest, which is present in logged-in or loged-out states */ + override val guestId: Option[Long] = clientContext.guestId + + /** The personalization id (pid) of the user, used to personalize Twitter services */ + override val personalizationId: Option[String] = None + + /** The id of the individual device the user is currently using. This id will be unique for different users' devices. */ + override val deviceId: Option[String] = clientContext.deviceId + + /** The OAuth application id of the application the user is currently using */ + override val clientApplicationId: Option[Long] = clientContext.appId + + /** The OAuth parent application id of the application the user is currently using */ + override val parentApplicationId: Option[Long] = None + + /** The two-letter, upper-case country code used to designate the country from which the scribe event occurred */ + override val countryCode: Option[String] = clientContext.countryCode + + /** The two-letter, lower-case language code used to designate the probably language spoken by the scribe event initiator */ + override val languageCode: Option[String] = clientContext.languageCode + + /** The user-agent header used to identify the client browser or device that the user is currently active on */ + override val userAgent: Option[String] = clientContext.userAgent + + /** Whether the user is accessing Twitter via a secured connection */ + override val isSsl: Option[Boolean] = Some(true) + + /** The referring URL to the current page for web-based clients, if applicable */ + override val referer: Option[String] = None + + /** + * The external site, partner, or email that lead to the current Twitter application. Returned value consists of a + * tuple including the encrypted referral data and the type of referral + */ + override val externalReferer: Option[ExternalRefererDataProvider] = None + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/BUILD new file mode 100644 index 000000000..597ab76c4 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/BUILD @@ -0,0 +1,13 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/common", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/CandidateSourceType.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/CandidateSourceType.scala new file mode 100644 index 000000000..38215c44b --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/CandidateSourceType.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.models + +object CandidateSourceType extends Enumeration { + type CandidateSourceType = Value + val Social = Value("social") + val GeoAndInterests = Value("geo_and_interests") + val ActivityContextual = Value("activity_contextual") + val None = Value("none") +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/CandidateUserDebugParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/CandidateUserDebugParams.scala new file mode 100644 index 000000000..a5702b2b3 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/CandidateUserDebugParams.scala @@ -0,0 +1,5 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.timelines.configapi.Params + +case class CandidateUserDebugParams(paramsMap: Map[Long, Params]) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/DebugParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/DebugParams.scala new file mode 100644 index 000000000..dee7f9b6a --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/DebugParams.scala @@ -0,0 +1,28 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.common.models.DebugOptions +import com.twitter.follow_recommendations.common.models.DebugOptions.fromDebugParamsThrift +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.timelines.configapi.{FeatureValue => ConfigApiFeatureValue} + +case class DebugParams( + featureOverrides: Option[Map[String, ConfigApiFeatureValue]], + debugOptions: Option[DebugOptions]) + +object DebugParams { + def fromThrift(thrift: t.DebugParams): DebugParams = DebugParams( + featureOverrides = thrift.featureOverrides.map { map => + map.mapValues(FeatureValue.fromThrift).toMap + }, + debugOptions = Some( + fromDebugParamsThrift(thrift) + ) + ) + def toOfflineThrift(model: DebugParams): offline.OfflineDebugParams = + offline.OfflineDebugParams(randomizationSeed = model.debugOptions.flatMap(_.randomizationSeed)) +} + +trait HasFrsDebugParams { + def frsDebugParams: Option[DebugParams] +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/DisplayContext.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/DisplayContext.scala new file mode 100644 index 000000000..59f0adfd7 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/DisplayContext.scala @@ -0,0 +1,113 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.common.models.FlowContext +import com.twitter.follow_recommendations.common.models.RecentlyEngagedUserId +import com.twitter.follow_recommendations.logging.thriftscala.OfflineDisplayContext +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} +import scala.reflect.ClassTag +import scala.reflect.classTag + +trait DisplayContext { + def toOfflineThrift: offline.OfflineDisplayContext +} + +object DisplayContext { + case class Profile(profileId: Long) extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.Profile(offline.OfflineProfile(profileId)) + } + case class Search(searchQuery: String) extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.Search(offline.OfflineSearch(searchQuery)) + } + case class Rux(focalAuthorId: Long) extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.Rux(offline.OfflineRux(focalAuthorId)) + } + + case class Topic(topicId: Long) extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.Topic(offline.OfflineTopic(topicId)) + } + + case class ReactiveFollow(followedUserIds: Seq[Long]) extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.ReactiveFollow(offline.OfflineReactiveFollow(followedUserIds)) + } + + case class NuxInterests(flowContext: Option[FlowContext], uttInterestIds: Option[Seq[Long]]) + extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.NuxInterests( + offline.OfflineNuxInterests(flowContext.map(_.toOfflineThrift))) + } + + case class PostNuxFollowTask(flowContext: Option[FlowContext]) extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.PostNuxFollowTask( + offline.OfflinePostNuxFollowTask(flowContext.map(_.toOfflineThrift))) + } + + case class AdCampaignTarget(similarToUserIds: Seq[Long]) extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.AdCampaignTarget( + offline.OfflineAdCampaignTarget(similarToUserIds)) + } + + case class ConnectTab( + byfSeedUserIds: Seq[Long], + similarToUserIds: Seq[Long], + engagedUserIds: Seq[RecentlyEngagedUserId]) + extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.ConnectTab( + offline.OfflineConnectTab( + byfSeedUserIds, + similarToUserIds, + engagedUserIds.map(user => user.toOfflineThrift))) + } + + case class SimilarToUser(similarToUserId: Long) extends DisplayContext { + override val toOfflineThrift: OfflineDisplayContext = + offline.OfflineDisplayContext.SimilarToUser(offline.OfflineSimilarToUser(similarToUserId)) + } + + def fromThrift(tDisplayContext: t.DisplayContext): DisplayContext = tDisplayContext match { + case t.DisplayContext.Profile(p) => Profile(p.profileId) + case t.DisplayContext.Search(s) => Search(s.searchQuery) + case t.DisplayContext.Rux(r) => Rux(r.focalAuthorId) + case t.DisplayContext.Topic(t) => Topic(t.topicId) + case t.DisplayContext.ReactiveFollow(f) => ReactiveFollow(f.followedUserIds) + case t.DisplayContext.NuxInterests(n) => + NuxInterests(n.flowContext.map(FlowContext.fromThrift), n.uttInterestIds) + case t.DisplayContext.AdCampaignTarget(a) => + AdCampaignTarget(a.similarToUserIds) + case t.DisplayContext.ConnectTab(connect) => + ConnectTab( + connect.byfSeedUserIds, + connect.similarToUserIds, + connect.recentlyEngagedUserIds.map(RecentlyEngagedUserId.fromThrift)) + case t.DisplayContext.SimilarToUser(r) => + SimilarToUser(r.similarToUserId) + case t.DisplayContext.PostNuxFollowTask(p) => + PostNuxFollowTask(p.flowContext.map(FlowContext.fromThrift)) + case t.DisplayContext.UnknownUnionField(t) => + throw new UnknownDisplayContextException(t.field.name) + } + + def getDisplayContextAs[T <: DisplayContext: ClassTag](displayContext: DisplayContext): T = + displayContext match { + case context: T => context + case _ => + throw new UnexpectedDisplayContextTypeException( + displayContext, + classTag[T].getClass.getSimpleName) + } +} + +class UnknownDisplayContextException(name: String) + extends Exception(s"Unknown DisplayContext in Thrift: ${name}") + +class UnexpectedDisplayContextTypeException(displayContext: DisplayContext, expectedType: String) + extends Exception(s"DisplayContext ${displayContext} not of expected type ${expectedType}") diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/FeatureValue.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/FeatureValue.scala new file mode 100644 index 000000000..66f0afafa --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/FeatureValue.scala @@ -0,0 +1,24 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.timelines.configapi._ + +object FeatureValue { + def fromThrift(thriftFeatureValue: t.FeatureValue): FeatureValue = thriftFeatureValue match { + case t.FeatureValue.PrimitiveValue(t.PrimitiveFeatureValue.BoolValue(bool)) => + BooleanFeatureValue(bool) + case t.FeatureValue.PrimitiveValue(t.PrimitiveFeatureValue.StrValue(string)) => + StringFeatureValue(string) + case t.FeatureValue.PrimitiveValue(t.PrimitiveFeatureValue.IntValue(int)) => + NumberFeatureValue(int) + case t.FeatureValue.PrimitiveValue(t.PrimitiveFeatureValue.LongValue(long)) => + NumberFeatureValue(long) + case t.FeatureValue.PrimitiveValue(t.PrimitiveFeatureValue.UnknownUnionField(field)) => + throw new UnknownFeatureValueException(s"Primitive: ${field.field.name}") + case t.FeatureValue.UnknownUnionField(field) => + throw new UnknownFeatureValueException(field.field.name) + } +} + +class UnknownFeatureValueException(fieldName: String) + extends Exception(s"Unknown FeatureValue name in thrift: ${fieldName}") diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationFlowData.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationFlowData.scala new file mode 100644 index 000000000..06b19ac46 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationFlowData.scala @@ -0,0 +1,104 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.ClientContextConverter +import com.twitter.follow_recommendations.common.models.HasUserState +import com.twitter.follow_recommendations.common.utils.UserSignupUtil +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.common.identifier.RecommendationPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.HasMarshalling +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.util.Time + +case class RecommendationFlowData[Target <: HasClientContext]( + request: Target, + recommendationFlowIdentifier: RecommendationPipelineIdentifier, + candidateSources: Seq[CandidateSource[Target, CandidateUser]], + candidatesFromCandidateSources: Seq[CandidateUser], + mergedCandidates: Seq[CandidateUser], + filteredCandidates: Seq[CandidateUser], + rankedCandidates: Seq[CandidateUser], + transformedCandidates: Seq[CandidateUser], + truncatedCandidates: Seq[CandidateUser], + results: Seq[CandidateUser]) + extends HasMarshalling { + + import RecommendationFlowData._ + + lazy val toRecommendationFlowLogOfflineThrift: offline.RecommendationFlowLog = { + val userMetadata = userToOfflineRecommendationFlowUserMetadata(request) + val signals = userToOfflineRecommendationFlowSignals(request) + val filteredCandidateSourceCandidates = + candidatesToOfflineRecommendationFlowCandidateSourceCandidates( + candidateSources, + filteredCandidates + ) + val rankedCandidateSourceCandidates = + candidatesToOfflineRecommendationFlowCandidateSourceCandidates( + candidateSources, + rankedCandidates + ) + val truncatedCandidateSourceCandidates = + candidatesToOfflineRecommendationFlowCandidateSourceCandidates( + candidateSources, + truncatedCandidates + ) + + offline.RecommendationFlowLog( + ClientContextConverter.toFRSOfflineClientContextThrift(request.clientContext), + userMetadata, + signals, + Time.now.inMillis, + recommendationFlowIdentifier.name, + Some(filteredCandidateSourceCandidates), + Some(rankedCandidateSourceCandidates), + Some(truncatedCandidateSourceCandidates) + ) + } +} + +object RecommendationFlowData { + def userToOfflineRecommendationFlowUserMetadata[Target <: HasClientContext]( + request: Target + ): Option[offline.OfflineRecommendationFlowUserMetadata] = { + val userSignupAge = UserSignupUtil.userSignupAge(request).map(_.inDays) + val userState = request match { + case req: HasUserState => req.userState.map(_.name) + case _ => None + } + Some(offline.OfflineRecommendationFlowUserMetadata(userSignupAge, userState)) + } + + def userToOfflineRecommendationFlowSignals[Target <: HasClientContext]( + request: Target + ): Option[offline.OfflineRecommendationFlowSignals] = { + val countryCode = request.getCountryCode + Some(offline.OfflineRecommendationFlowSignals(countryCode)) + } + + def candidatesToOfflineRecommendationFlowCandidateSourceCandidates[Target <: HasClientContext]( + candidateSources: Seq[CandidateSource[Target, CandidateUser]], + candidates: Seq[CandidateUser], + ): Seq[offline.OfflineRecommendationFlowCandidateSourceCandidates] = { + val candidatesGroupedByCandidateSources = + candidates.groupBy( + _.getPrimaryCandidateSource.getOrElse(CandidateSourceIdentifier("NoCandidateSource"))) + + candidateSources.map(candidateSource => { + val candidates = + candidatesGroupedByCandidateSources.get(candidateSource.identifier).toSeq.flatten + val candidateUserIds = candidates.map(_.id) + val candidateUserScores = candidates.map(_.score).exists(_.nonEmpty) match { + case true => Some(candidates.map(_.score.getOrElse(-1.0))) + case false => None + } + offline.OfflineRecommendationFlowCandidateSourceCandidates( + candidateSource.identifier.name, + candidateUserIds, + candidateUserScores + ) + }) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationRequest.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationRequest.scala new file mode 100644 index 000000000..fa768b536 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationRequest.scala @@ -0,0 +1,29 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.common.models.ClientContextConverter +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext + +case class RecommendationRequest( + clientContext: ClientContext, + displayLocation: DisplayLocation, + displayContext: Option[DisplayContext], + maxResults: Option[Int], + cursor: Option[String], + excludedIds: Option[Seq[Long]], + fetchPromotedContent: Option[Boolean], + debugParams: Option[DebugParams] = None, + userLocationState: Option[String] = None, + isSoftUser: Boolean = false) { + def toOfflineThrift: offline.OfflineRecommendationRequest = offline.OfflineRecommendationRequest( + ClientContextConverter.toFRSOfflineClientContextThrift(clientContext), + displayLocation.toOfflineThrift, + displayContext.map(_.toOfflineThrift), + maxResults, + cursor, + excludedIds, + fetchPromotedContent, + debugParams.map(DebugParams.toOfflineThrift) + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationResponse.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationResponse.scala new file mode 100644 index 000000000..fadff377b --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/RecommendationResponse.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.{thriftscala => t} +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.common.models.Recommendation +import com.twitter.product_mixer.core.model.marshalling.HasMarshalling + +case class RecommendationResponse(recommendations: Seq[Recommendation]) extends HasMarshalling { + lazy val toThrift: t.RecommendationResponse = + t.RecommendationResponse(recommendations.map(_.toThrift)) + + lazy val toOfflineThrift: offline.OfflineRecommendationResponse = + offline.OfflineRecommendationResponse(recommendations.map(_.toOfflineThrift)) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/Request.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/Request.scala new file mode 100644 index 000000000..a8798bda2 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/Request.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.product_mixer.core.model.marshalling.request +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.product_mixer.core.model.marshalling.request.ProductContext +import com.twitter.product_mixer.core.model.marshalling.request.{Request => ProductMixerRequest} + +case class Request( + override val maxResults: Option[Int], + override val debugParams: Option[request.DebugParams], + override val productContext: Option[ProductContext], + override val product: request.Product, + override val clientContext: ClientContext, + override val serializedRequestCursor: Option[String], + override val frsDebugParams: Option[DebugParams], + displayLocation: DisplayLocation, + excludedIds: Option[Seq[Long]], + fetchPromotedContent: Option[Boolean], + userLocationState: Option[String] = None) + extends ProductMixerRequest + with HasFrsDebugParams {} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/ScoringUserRequest.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/ScoringUserRequest.scala new file mode 100644 index 000000000..84d9d3ee3 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/ScoringUserRequest.scala @@ -0,0 +1,45 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.common.feature_hydration.common.HasPreFetchedFeature +import com.twitter.follow_recommendations.common.models._ +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.timelines.configapi.HasParams +import com.twitter.timelines.configapi.Params + +case class ScoringUserRequest( + override val clientContext: ClientContext, + override val displayLocation: DisplayLocation, + override val params: Params, + override val debugOptions: Option[DebugOptions] = None, + override val recentFollowedUserIds: Option[Seq[Long]], + override val recentFollowedByUserIds: Option[Seq[Long]], + override val wtfImpressions: Option[Seq[WtfImpression]], + override val similarToUserIds: Seq[Long], + candidates: Seq[CandidateUser], + debugParams: Option[DebugParams] = None, + isSoftUser: Boolean = false) + extends HasClientContext + with HasDisplayLocation + with HasParams + with HasDebugOptions + with HasPreFetchedFeature + with HasSimilarToContext { + def toOfflineThrift: offline.OfflineScoringUserRequest = offline.OfflineScoringUserRequest( + ClientContextConverter.toFRSOfflineClientContextThrift(clientContext), + displayLocation.toOfflineThrift, + candidates.map(_.toOfflineUserThrift) + ) + def toRecommendationRequest: RecommendationRequest = RecommendationRequest( + clientContext = clientContext, + displayLocation = displayLocation, + displayContext = None, + maxResults = None, + cursor = None, + excludedIds = None, + fetchPromotedContent = None, + debugParams = debugParams, + isSoftUser = isSoftUser + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/ScoringUserResponse.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/ScoringUserResponse.scala new file mode 100644 index 000000000..4611386d3 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/ScoringUserResponse.scala @@ -0,0 +1,15 @@ +package com.twitter.follow_recommendations.models + +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.logging.{thriftscala => offline} +import com.twitter.follow_recommendations.{thriftscala => t} + +case class ScoringUserResponse(candidates: Seq[CandidateUser]) { + lazy val toThrift: t.ScoringUserResponse = + t.ScoringUserResponse(candidates.map(_.toUserThrift)) + + lazy val toRecommendationResponse: RecommendationResponse = RecommendationResponse(candidates) + + lazy val toOfflineThrift: offline.OfflineScoringUserResponse = + offline.OfflineScoringUserResponse(candidates.map(_.toOfflineUserThrift)) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/failures/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/failures/BUILD new file mode 100644 index 000000000..4874d636e --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/failures/BUILD @@ -0,0 +1,8 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/pipeline_failure", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/failures/TimeoutPipelineFailure.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/failures/TimeoutPipelineFailure.scala new file mode 100644 index 000000000..023b4c63e --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models/failures/TimeoutPipelineFailure.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.models.failures + +import com.twitter.product_mixer.core.pipeline.pipeline_failure.CandidateSourceTimeout +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure + +object TimeoutPipelineFailure { + def apply(candidateSourceName: String): PipelineFailure = { + PipelineFailure( + CandidateSourceTimeout, + s"Candidate Source $candidateSourceName timed out before returning candidates") + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ABDeciderModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ABDeciderModule.scala new file mode 100644 index 000000000..b75b6753e --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ABDeciderModule.scala @@ -0,0 +1,31 @@ +package com.twitter.follow_recommendations.modules + +import com.google.inject.Provides +import com.google.inject.name.Named +import com.twitter.abdecider.ABDeciderFactory +import com.twitter.abdecider.LoggingABDecider +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.inject.TwitterModule +import com.twitter.logging.LoggerFactory +import javax.inject.Singleton + +object ABDeciderModule extends TwitterModule { + @Provides + @Singleton + def provideABDecider( + stats: StatsReceiver, + @Named(GuiceNamedConstants.CLIENT_EVENT_LOGGER) factory: LoggerFactory + ): LoggingABDecider = { + + val ymlPath = "/usr/local/config/abdecider/abdecider.yml" + + val abDeciderFactory = ABDeciderFactory( + abDeciderYmlPath = ymlPath, + scribeLogger = Some(factory()), + environment = Some("production") + ) + + abDeciderFactory.buildWithLogging() + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/BUILD new file mode 100644 index 000000000..e7fb68380 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/BUILD @@ -0,0 +1,24 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/google/inject/extensions:guice-assistedinject", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/constants", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/transforms/modify_social_proof", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry", + "twml/runtime/src/main/scala/com/twitter/deepbird/runtime/prediction_engine", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ConfigApiModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ConfigApiModule.scala new file mode 100644 index 000000000..ef3865bf2 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ConfigApiModule.scala @@ -0,0 +1,20 @@ +package com.twitter.follow_recommendations.modules + +import com.google.inject.Provides +import com.twitter.decider.Decider +import com.twitter.follow_recommendations.configapi.ConfigBuilder +import com.twitter.inject.TwitterModule +import com.twitter.servo.decider.DeciderGateBuilder +import com.twitter.timelines.configapi.Config +import javax.inject.Singleton + +object ConfigApiModule extends TwitterModule { + @Provides + @Singleton + def providesDeciderGateBuilder(decider: Decider): DeciderGateBuilder = + new DeciderGateBuilder(decider) + + @Provides + @Singleton + def providesConfig(configBuilder: ConfigBuilder): Config = configBuilder.build() +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/DiffyModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/DiffyModule.scala new file mode 100644 index 000000000..4ab0e4eba --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/DiffyModule.scala @@ -0,0 +1,71 @@ +package com.twitter.follow_recommendations.modules + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.inject.annotations.Flag +import com.twitter.decider.RandomRecipient +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient.MtlsThriftMuxClientSyntax +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.thrift.ClientId +import com.twitter.finatra.annotations.DarkTrafficService +import com.twitter.follow_recommendations.configapi.deciders.DeciderKey +import com.twitter.follow_recommendations.thriftscala.FollowRecommendationsThriftService +import com.twitter.inject.TwitterModule +import com.twitter.inject.thrift.filters.DarkTrafficFilter +import com.twitter.servo.decider.DeciderGateBuilder + +object DiffyModule extends TwitterModule { + // diffy.dest is defined in the Follow Recommendations Service aurora file + // and points to the Dark Traffic Proxy server + private val destFlag = + flag[String]("diffy.dest", "/$/nil", "Resolvable name of diffy-service or proxy") + + @Provides + @Singleton + @DarkTrafficService + def provideDarkTrafficService( + serviceIdentifier: ServiceIdentifier + ): FollowRecommendationsThriftService.ReqRepServicePerEndpoint = { + ThriftMux.client + .withClientId(ClientId("follow_recos_service_darktraffic_proxy_client")) + .withMutualTls(serviceIdentifier) + .servicePerEndpoint[FollowRecommendationsThriftService.ReqRepServicePerEndpoint]( + dest = destFlag(), + label = "darktrafficproxy" + ) + } + + @Provides + @Singleton + def provideDarkTrafficFilter( + @DarkTrafficService darkService: FollowRecommendationsThriftService.ReqRepServicePerEndpoint, + deciderGateBuilder: DeciderGateBuilder, + statsReceiver: StatsReceiver, + @Flag("environment") env: String + ): DarkTrafficFilter[FollowRecommendationsThriftService.ReqRepServicePerEndpoint] = { + // sampleFunction is used to determine which requests should get replicated + // to the dark traffic proxy server + val sampleFunction: Any => Boolean = { _ => + // check whether the current FRS instance is deployed in production + env match { + case "prod" => + statsReceiver.scope("provideDarkTrafficFilter").counter("prod").incr() + destFlag.isDefined && deciderGateBuilder + .keyToFeature(DeciderKey.EnableTrafficDarkReading).isAvailable(RandomRecipient) + case _ => + statsReceiver.scope("provideDarkTrafficFilter").counter("devel").incr() + // replicate zero requests if in non-production environment + false + } + } + new DarkTrafficFilter[FollowRecommendationsThriftService.ReqRepServicePerEndpoint]( + darkService, + sampleFunction, + forwardAfterService = true, + statsReceiver.scope("DarkTrafficFilter"), + lookupByMethod = true + ) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/FeatureSwitchesModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/FeatureSwitchesModule.scala new file mode 100644 index 000000000..1600344b6 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/FeatureSwitchesModule.scala @@ -0,0 +1,85 @@ +package com.twitter.follow_recommendations.modules + +import com.google.inject.Provides +import com.twitter.abdecider.LoggingABDecider +import com.twitter.featureswitches.v2.Feature +import com.twitter.featureswitches.v2.FeatureFilter +import com.twitter.featureswitches.v2.FeatureSwitches +import com.twitter.featureswitches.v2.builder.FeatureSwitchesBuilder +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants.PRODUCER_SIDE_FEATURE_SWITCHES +import com.twitter.inject.TwitterModule +import javax.inject.Named +import javax.inject.Singleton + +object FeaturesSwitchesModule extends TwitterModule { + private val DefaultConfigRepoPath = "/usr/local/config" + private val FeaturesPath = "/features/onboarding/follow-recommendations-service/main" + val isLocal = flag("configrepo.local", false, "Is the server running locally or in a DC") + val localConfigRepoPath = flag( + "local.configrepo", + System.getProperty("user.home") + "/workspace/config", + "Path to your local config repo" + ) + + @Provides + @Singleton + def providesFeatureSwitches( + abDecider: LoggingABDecider, + statsReceiver: StatsReceiver + ): FeatureSwitches = { + val configRepoPath = if (isLocal()) { + localConfigRepoPath() + } else { + DefaultConfigRepoPath + } + + FeatureSwitchesBuilder + .createDefault(FeaturesPath, abDecider, Some(statsReceiver)) + .configRepoAbsPath(configRepoPath) + .serviceDetailsFromAurora() + .build() + } + + @Provides + @Singleton + @Named(PRODUCER_SIDE_FEATURE_SWITCHES) + def providesProducerFeatureSwitches( + abDecider: LoggingABDecider, + statsReceiver: StatsReceiver + ): FeatureSwitches = { + val configRepoPath = if (isLocal()) { + localConfigRepoPath() + } else { + DefaultConfigRepoPath + } + + /** + * Feature Switches evaluate all tied FS Keys on Params construction time, which is very inefficient + * for producer/candidate side holdbacks because we have 100s of candidates, and 100s of FS which result + * in 10,000 FS evaluations when we want 1 per candidate (100 total), so we create a new FS Client + * which has a [[ProducerFeatureFilter]] set for feature filter to reduce the FS Keys we evaluate. + */ + FeatureSwitchesBuilder + .createDefault(FeaturesPath, abDecider, Some(statsReceiver.scope("producer_side_fs"))) + .configRepoAbsPath(configRepoPath) + .serviceDetailsFromAurora() + .addFeatureFilter(ProducerFeatureFilter) + .build() + } +} + +case object ProducerFeatureFilter extends FeatureFilter { + private val AllowedKeys = Set( + "post_nux_ml_flow_candidate_user_scorer_id", + "frs_receiver_holdback_keep_social_user_candidate", + "frs_receiver_holdback_keep_user_candidate") + + override def filter(feature: Feature): Option[Feature] = { + if (AllowedKeys.exists(feature.parameters.contains)) { + Some(feature) + } else { + None + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/FlagsModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/FlagsModule.scala new file mode 100644 index 000000000..f8ff5ae94 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/FlagsModule.scala @@ -0,0 +1,18 @@ +package com.twitter.follow_recommendations.modules +import com.twitter.inject.TwitterModule + +object FlagsModule extends TwitterModule { + flag[Boolean]( + name = "fetch_prod_promoted_accounts", + help = "Whether or not to fetch production promoted accounts (true / false)" + ) + flag[Boolean]( + name = "interests_opt_out_prod_enabled", + help = "Whether to fetch intersts opt out data from the prod strato column or not" + ) + flag[Boolean]( + name = "log_results", + default = false, + help = "Whether to log results such that we use them for scoring or metrics" + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ProductRegistryModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ProductRegistryModule.scala new file mode 100644 index 000000000..218f3b973 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ProductRegistryModule.scala @@ -0,0 +1,12 @@ +package com.twitter.follow_recommendations.modules + +import com.twitter.follow_recommendations.products.ProdProductRegistry +import com.twitter.follow_recommendations.products.common.ProductRegistry +import com.twitter.inject.TwitterModule +import javax.inject.Singleton + +object ProductRegistryModule extends TwitterModule { + override protected def configure(): Unit = { + bind[ProductRegistry].to[ProdProductRegistry].in[Singleton] + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ScorerModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ScorerModule.scala new file mode 100644 index 000000000..035cc04bf --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ScorerModule.scala @@ -0,0 +1,40 @@ +package com.twitter.follow_recommendations.modules + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.inject.TwitterModule +import com.twitter.relevance.ep_model.common.CommonConstants +import com.twitter.relevance.ep_model.scorer.EPScorer +import com.twitter.relevance.ep_model.scorer.EPScorerBuilder +import java.io.File +import java.io.FileOutputStream +import scala.language.postfixOps + +object ScorerModule extends TwitterModule { + private val STPScorerPath = "/quality/stp_models/20141223" + + private def fileFromResource(resource: String): File = { + val inputStream = getClass.getResourceAsStream(resource) + val file = File.createTempFile(resource, "temp") + val fos = new FileOutputStream(file) + Iterator + .continually(inputStream.read) + .takeWhile(-1 !=) + .foreach(fos.write) + file + } + + @Provides + @Singleton + def provideEpScorer: EPScorer = { + val modelPath = + fileFromResource(STPScorerPath + "/" + CommonConstants.EP_MODEL_FILE_NAME).getAbsolutePath + val trainingConfigPath = + fileFromResource(STPScorerPath + "/" + CommonConstants.TRAINING_CONFIG).getAbsolutePath + val epScorer = new EPScorerBuilder + epScorer + .withModelPath(modelPath) + .withTrainingConfig(trainingConfigPath) + .build() + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ScribeModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ScribeModule.scala new file mode 100644 index 000000000..35af77c1a --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/ScribeModule.scala @@ -0,0 +1,95 @@ +package com.twitter.follow_recommendations.modules + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.constants.GuiceNamedConstants +import com.twitter.inject.TwitterModule +import com.twitter.logging.BareFormatter +import com.twitter.logging.HandlerFactory +import com.twitter.logging.Level +import com.twitter.logging.LoggerFactory +import com.twitter.logging.NullHandler +import com.twitter.logging.QueueingHandler +import com.twitter.logging.ScribeHandler + +object ScribeModule extends TwitterModule { + val useProdLogger = flag( + name = "scribe.use_prod_loggers", + default = false, + help = "whether to use production logging for service" + ) + + @Provides + @Singleton + @Named(GuiceNamedConstants.CLIENT_EVENT_LOGGER) + def provideClientEventsLoggerFactory(stats: StatsReceiver): LoggerFactory = { + val loggerCategory = "client_event" + val clientEventsHandler: HandlerFactory = if (useProdLogger()) { + QueueingHandler( + maxQueueSize = 10000, + handler = ScribeHandler( + category = loggerCategory, + formatter = BareFormatter, + level = Some(Level.INFO), + statsReceiver = stats.scope("client_event_scribe") + ) + ) + } else { () => NullHandler } + LoggerFactory( + node = "abdecider", + level = Some(Level.INFO), + useParents = false, + handlers = clientEventsHandler :: Nil + ) + } + + @Provides + @Singleton + @Named(GuiceNamedConstants.REQUEST_LOGGER) + def provideFollowRecommendationsLoggerFactory(stats: StatsReceiver): LoggerFactory = { + val loggerCategory = "follow_recommendations_logs" + val handlerFactory: HandlerFactory = if (useProdLogger()) { + QueueingHandler( + maxQueueSize = 10000, + handler = ScribeHandler( + category = loggerCategory, + formatter = BareFormatter, + level = Some(Level.INFO), + statsReceiver = stats.scope("follow_recommendations_logs_scribe") + ) + ) + } else { () => NullHandler } + LoggerFactory( + node = loggerCategory, + level = Some(Level.INFO), + useParents = false, + handlers = handlerFactory :: Nil + ) + } + + @Provides + @Singleton + @Named(GuiceNamedConstants.FLOW_LOGGER) + def provideFrsRecommendationFlowLoggerFactory(stats: StatsReceiver): LoggerFactory = { + val loggerCategory = "frs_recommendation_flow_logs" + val handlerFactory: HandlerFactory = if (useProdLogger()) { + QueueingHandler( + maxQueueSize = 10000, + handler = ScribeHandler( + category = loggerCategory, + formatter = BareFormatter, + level = Some(Level.INFO), + statsReceiver = stats.scope("frs_recommendation_flow_logs_scribe") + ) + ) + } else { () => NullHandler } + LoggerFactory( + node = loggerCategory, + level = Some(Level.INFO), + useParents = false, + handlers = handlerFactory :: Nil + ) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/TimerModule.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/TimerModule.scala new file mode 100644 index 000000000..0572e43bf --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/modules/TimerModule.scala @@ -0,0 +1,13 @@ +package com.twitter.follow_recommendations.modules + +import com.google.inject.Provides +import com.google.inject.Singleton +import com.twitter.finagle.memcached.ZookeeperStateMonitor.DefaultTimer +import com.twitter.inject.TwitterModule +import com.twitter.util.Timer + +object TimerModule extends TwitterModule { + @Provides + @Singleton + def providesTimer: Timer = DefaultTimer +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/BUILD new file mode 100644 index 000000000..5840c0f2f --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/BUILD @@ -0,0 +1,16 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/org/slf4j:slf4j-api", + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/ProdProductRegistry.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/ProdProductRegistry.scala new file mode 100644 index 000000000..9a0dbb995 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/ProdProductRegistry.scala @@ -0,0 +1,44 @@ +package com.twitter.follow_recommendations.products + +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.products.common.ProductRegistry +import com.twitter.follow_recommendations.products.explore_tab.ExploreTabProduct +import com.twitter.follow_recommendations.products.home_timeline.HomeTimelineProduct +import com.twitter.follow_recommendations.products.home_timeline_tweet_recs.HomeTimelineTweetRecsProduct +import com.twitter.follow_recommendations.products.sidebar.SidebarProduct + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ProdProductRegistry @Inject() ( + exploreTabProduct: ExploreTabProduct, + homeTimelineProduct: HomeTimelineProduct, + homeTimelineTweetRecsProduct: HomeTimelineTweetRecsProduct, + sidebarProduct: SidebarProduct, +) extends ProductRegistry { + + override val products: Seq[common.Product] = + Seq( + exploreTabProduct, + homeTimelineProduct, + homeTimelineTweetRecsProduct, + sidebarProduct + ) + + override val displayLocationProductMap: Map[DisplayLocation, common.Product] = + products.groupBy(_.displayLocation).flatMap { + case (loc, products) => + assert(products.size == 1, s"Found more than 1 Product for ${loc}") + products.headOption.map { product => loc -> product } + } + + override def getProductByDisplayLocation(displayLocation: DisplayLocation): common.Product = { + displayLocationProductMap.getOrElse( + displayLocation, + throw new MissingProductException(displayLocation)) + } +} + +class MissingProductException(displayLocation: DisplayLocation) + extends Exception(s"No Product found for ${displayLocation}") diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/BUILD new file mode 100644 index 000000000..4b32816e4 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/BUILD @@ -0,0 +1,12 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/Exceptions.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/Exceptions.scala new file mode 100644 index 000000000..c00d8c407 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/Exceptions.scala @@ -0,0 +1,7 @@ +package com.twitter.follow_recommendations.products.common + +abstract class ProductException(message: String) extends Exception(message) + +class MissingFieldException(productRequest: ProductRequest, fieldName: String) + extends ProductException( + s"Missing ${fieldName} field for ${productRequest.recommendationRequest.displayLocation} request") diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/Product.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/Product.scala new file mode 100644 index 000000000..28c348204 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/Product.scala @@ -0,0 +1,56 @@ +package com.twitter.follow_recommendations.products.common + +import com.twitter.follow_recommendations.assembler.models.Layout +import com.twitter.follow_recommendations.common.base.BaseRecommendationFlow +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.Recommendation +import com.twitter.follow_recommendations.models.RecommendationRequest +import com.twitter.product_mixer.core.model.marshalling.request.{Product => ProductMixerProduct} +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.Params + +trait Product { + + /** Each product also requires a human-readable name. + * You can change this at any time + */ + def name: String + + /** + * Every product needs a machine-friendly identifier for internal use. + * You should use the same name as the product package name. + * Except dashes are better than underscore + * + * Avoid changing this once it's in production. + */ + def identifier: String + + def displayLocation: DisplayLocation + + def selectWorkflows( + request: ProductRequest + ): Stitch[Seq[BaseRecommendationFlow[ProductRequest, _ <: Recommendation]]] + + /** + * Blender is responsible for blending together the candidates generated by different flows used + * in a product. For example, if a product uses two flows, it is blender's responsibility to + * interleave their generated candidates together and make a unified sequence of candidates. + */ + def blender: Transform[ProductRequest, Recommendation] + + /** + * It is resultsTransformer job to do any final transformations needed on the final list of + * candidates generated by a product. For example, if a final quality check on candidates needed, + * resultsTransformer will handle it. + */ + def resultsTransformer(request: ProductRequest): Stitch[Transform[ProductRequest, Recommendation]] + + def enabled(request: ProductRequest): Stitch[Boolean] + + def layout: Option[Layout] = None + + def productMixerProduct: Option[ProductMixerProduct] = None +} + +case class ProductRequest(recommendationRequest: RecommendationRequest, params: Params) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/ProductRegistry.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/ProductRegistry.scala new file mode 100644 index 000000000..fbe486536 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common/ProductRegistry.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.products.common + +import com.twitter.follow_recommendations.common.models.DisplayLocation + +trait ProductRegistry { + def products: Seq[Product] + def displayLocationProductMap: Map[DisplayLocation, Product] + def getProductByDisplayLocation(displayLocation: DisplayLocation): Product +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/BUILD new file mode 100644 index 000000000..2f9412612 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/BUILD @@ -0,0 +1,14 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/ExploreTabProduct.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/ExploreTabProduct.scala new file mode 100644 index 000000000..a49fccb45 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/ExploreTabProduct.scala @@ -0,0 +1,50 @@ +package com.twitter.follow_recommendations.products.explore_tab + +import com.twitter.follow_recommendations.common.base.BaseRecommendationFlow +import com.twitter.follow_recommendations.common.base.IdentityTransform +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.Recommendation +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlFlow +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlRequestBuilder +import com.twitter.follow_recommendations.products.common.Product +import com.twitter.follow_recommendations.products.common.ProductRequest +import com.twitter.follow_recommendations.products.explore_tab.configapi.ExploreTabParams +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ExploreTabProduct @Inject() ( + postNuxMlFlow: PostNuxMlFlow, + postNuxMlRequestBuilder: PostNuxMlRequestBuilder) + extends Product { + override val name: String = "Explore Tab" + + override val identifier: String = "explore-tab" + + override val displayLocation: DisplayLocation = DisplayLocation.ExploreTab + + override def selectWorkflows( + request: ProductRequest + ): Stitch[Seq[BaseRecommendationFlow[ProductRequest, _ <: Recommendation]]] = { + postNuxMlRequestBuilder.build(request).map { postNuxMlRequest => + Seq(postNuxMlFlow.mapKey({ _: ProductRequest => postNuxMlRequest })) + } + } + + override val blender: Transform[ProductRequest, Recommendation] = + new IdentityTransform[ProductRequest, Recommendation] + + override def resultsTransformer( + request: ProductRequest + ): Stitch[Transform[ProductRequest, Recommendation]] = + Stitch.value(new IdentityTransform[ProductRequest, Recommendation]) + + override def enabled(request: ProductRequest): Stitch[Boolean] = { + // Ideally we should hook up is_soft_user as custom FS field and disable the product through FS + val enabledForUserType = !request.recommendationRequest.isSoftUser || request.params( + ExploreTabParams.EnableProductForSoftUser) + Stitch.value(request.params(ExploreTabParams.EnableProduct) && enabledForUserType) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/BUILD new file mode 100644 index 000000000..3bb732e35 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/BUILD @@ -0,0 +1,9 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/ExploreTabFSConfig.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/ExploreTabFSConfig.scala new file mode 100644 index 000000000..092252aca --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/ExploreTabFSConfig.scala @@ -0,0 +1,14 @@ +package com.twitter.follow_recommendations.products.explore_tab.configapi + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.follow_recommendations.products.explore_tab.configapi.ExploreTabParams._ +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.Param +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ExploreTabFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = + Seq(EnableProductForSoftUser) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/ExploreTabParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/ExploreTabParams.scala new file mode 100644 index 000000000..b9d9d3b87 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/explore_tab/configapi/ExploreTabParams.scala @@ -0,0 +1,10 @@ +package com.twitter.follow_recommendations.products.explore_tab.configapi + +import com.twitter.timelines.configapi.Param +import com.twitter.timelines.configapi.FSParam + +object ExploreTabParams { + object EnableProduct extends Param[Boolean](false) + object EnableProductForSoftUser + extends FSParam[Boolean]("explore_tab_enable_product_for_soft_user", false) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/BUILD new file mode 100644 index 000000000..4b0586ff7 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/BUILD @@ -0,0 +1,14 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HTLProductMixer.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HTLProductMixer.scala new file mode 100644 index 000000000..a2051c150 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HTLProductMixer.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.products.home_timeline + +import com.twitter.product_mixer.core.model.common.identifier.ProductIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.Product + +case object HTLProductMixer extends Product { + override val identifier: ProductIdentifier = ProductIdentifier("HomeTimeline") + override val stringCenterProject: Option[String] = Some("people-discovery") +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HomeTimelineProduct.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HomeTimelineProduct.scala new file mode 100644 index 000000000..590aab182 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HomeTimelineProduct.scala @@ -0,0 +1,114 @@ +package com.twitter.follow_recommendations.products.home_timeline + +import com.twitter.follow_recommendations.assembler.models.ActionConfig +import com.twitter.follow_recommendations.assembler.models.FollowedByUsersProof +import com.twitter.follow_recommendations.assembler.models.FooterConfig +import com.twitter.follow_recommendations.assembler.models.GeoContextProof +import com.twitter.follow_recommendations.assembler.models.HeaderConfig +import com.twitter.follow_recommendations.assembler.models.Layout +import com.twitter.follow_recommendations.assembler.models.TitleConfig +import com.twitter.follow_recommendations.assembler.models.UserListLayout +import com.twitter.follow_recommendations.assembler.models.UserListOptions +import com.twitter.follow_recommendations.common.base.BaseRecommendationFlow +import com.twitter.follow_recommendations.common.base.IdentityTransform +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.flows.ads.PromotedAccountsFlow +import com.twitter.follow_recommendations.flows.ads.PromotedAccountsFlowRequest +import com.twitter.follow_recommendations.blenders.PromotedAccountsBlender +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.Recommendation +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlFlow +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlRequestBuilder +import com.twitter.follow_recommendations.products.common.Product +import com.twitter.follow_recommendations.products.common.ProductRequest +import com.twitter.follow_recommendations.products.home_timeline.configapi.HomeTimelineParams._ +import com.twitter.inject.Injector +import com.twitter.product_mixer.core.model.marshalling.request +import com.twitter.product_mixer.core.product.guice.ProductScope +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeTimelineProduct @Inject() ( + postNuxMlFlow: PostNuxMlFlow, + postNuxMlRequestBuilder: PostNuxMlRequestBuilder, + promotedAccountsFlow: PromotedAccountsFlow, + promotedAccountsBlender: PromotedAccountsBlender, + productScope: ProductScope, + injector: Injector, +) extends Product { + + override val name: String = "Home Timeline" + + override val identifier: String = "home-timeline" + + override val displayLocation: DisplayLocation = DisplayLocation.HomeTimeline + + override def selectWorkflows( + request: ProductRequest + ): Stitch[Seq[BaseRecommendationFlow[ProductRequest, _ <: Recommendation]]] = { + postNuxMlRequestBuilder.build(request).map { postNuxMlRequest => + Seq( + postNuxMlFlow.mapKey({ request: ProductRequest => postNuxMlRequest }), + promotedAccountsFlow.mapKey(mkPromotedAccountsRequest)) + } + } + + override val blender: Transform[ProductRequest, Recommendation] = { + promotedAccountsBlender.mapTarget[ProductRequest](getMaxResults) + } + + private val identityTransform = new IdentityTransform[ProductRequest, Recommendation] + + override def resultsTransformer( + request: ProductRequest + ): Stitch[Transform[ProductRequest, Recommendation]] = Stitch.value(identityTransform) + + override def enabled(request: ProductRequest): Stitch[Boolean] = + Stitch.value(request.params(EnableProduct)) + + override def layout: Option[Layout] = { + productMixerProduct.map { product => + val homeTimelineStrings = productScope.let(product) { + injector.instance[HomeTimelineStrings] + } + UserListLayout( + header = Some(HeaderConfig(TitleConfig(homeTimelineStrings.whoToFollowModuleTitle))), + userListOptions = UserListOptions(userBioEnabled = true, userBioTruncated = true, None), + socialProofs = Some( + Seq( + FollowedByUsersProof( + homeTimelineStrings.whoToFollowFollowedByManyUserSingleString, + homeTimelineStrings.whoToFollowFollowedByManyUserDoubleString, + homeTimelineStrings.whoToFollowFollowedByManyUserMultipleString + ), + GeoContextProof(homeTimelineStrings.whoToFollowPopularInCountryKey) + )), + footer = Some( + FooterConfig( + Some(ActionConfig(homeTimelineStrings.whoToFollowModuleFooter, "http://twitter.com")))) + ) + } + } + + override def productMixerProduct: Option[request.Product] = Some(HTLProductMixer) + + private[home_timeline] def mkPromotedAccountsRequest( + req: ProductRequest + ): PromotedAccountsFlowRequest = { + PromotedAccountsFlowRequest( + req.recommendationRequest.clientContext, + req.params, + req.recommendationRequest.displayLocation, + None, + req.recommendationRequest.excludedIds.getOrElse(Nil) + ) + } + + private[home_timeline] def getMaxResults(req: ProductRequest): Int = { + req.recommendationRequest.maxResults.getOrElse( + req.params(DefaultMaxResults) + ) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HomeTimelineStrings.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HomeTimelineStrings.scala new file mode 100644 index 000000000..75819555e --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/HomeTimelineStrings.scala @@ -0,0 +1,26 @@ +package com.twitter.follow_recommendations.products.home_timeline + +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.ExternalStringRegistry +import com.twitter.stringcenter.client.core.ExternalString +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +@Singleton +class HomeTimelineStrings @Inject() ( + @ProductScoped externalStringRegistryProvider: Provider[ExternalStringRegistry]) { + private val externalStringRegistry = externalStringRegistryProvider.get() + val whoToFollowFollowedByManyUserSingleString: ExternalString = + externalStringRegistry.createProdString("WtfRecommendationContext.followedByManyUserSingle") + val whoToFollowFollowedByManyUserDoubleString: ExternalString = + externalStringRegistry.createProdString("WtfRecommendationContext.followedByManyUserDouble") + val whoToFollowFollowedByManyUserMultipleString: ExternalString = + externalStringRegistry.createProdString("WtfRecommendationContext.followedByManyUserMultiple") + val whoToFollowPopularInCountryKey: ExternalString = + externalStringRegistry.createProdString("WtfRecommendationContext.popularInCountry") + val whoToFollowModuleTitle: ExternalString = + externalStringRegistry.createProdString("WhoToFollowModule.title") + val whoToFollowModuleFooter: ExternalString = + externalStringRegistry.createProdString("WhoToFollowModule.pivot") +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/BUILD new file mode 100644 index 000000000..3bb732e35 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/BUILD @@ -0,0 +1,9 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/common", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/HomeTimelineFSConfig.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/HomeTimelineFSConfig.scala new file mode 100644 index 000000000..15e97b3a5 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/HomeTimelineFSConfig.scala @@ -0,0 +1,22 @@ +package com.twitter.follow_recommendations.products.home_timeline.configapi + +import com.twitter.follow_recommendations.configapi.common.FeatureSwitchConfig +import com.twitter.follow_recommendations.products.home_timeline.configapi.HomeTimelineParams._ +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSName +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeTimelineFSConfig @Inject() () extends FeatureSwitchConfig { + override val booleanFSParams: Seq[Param[Boolean] with FSName] = + Seq(EnableWritingServingHistory) + + override val durationFSParams: Seq[FSBoundedParam[Duration] with HasDurationConversion] = Seq( + DurationGuardrailToForceSuggest, + SuggestBasedFatigueDuration + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/HomeTimelineParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/HomeTimelineParams.scala new file mode 100644 index 000000000..65ab5ae23 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline/configapi/HomeTimelineParams.scala @@ -0,0 +1,38 @@ +package com.twitter.follow_recommendations.products.home_timeline.configapi + +import com.twitter.conversions.DurationOps._ +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.Param +import com.twitter.util.Duration + +object HomeTimelineParams { + object EnableProduct extends Param[Boolean](false) + + object DefaultMaxResults extends Param[Int](20) + + object EnableWritingServingHistory + extends FSParam[Boolean]("home_timeline_enable_writing_serving_history", false) + + object DurationGuardrailToForceSuggest + extends FSBoundedParam[Duration]( + name = "home_timeline_duration_guardrail_to_force_suggest_in_hours", + default = 0.hours, + min = 0.hours, + max = 1000.hours) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromHours + } + + object SuggestBasedFatigueDuration + extends FSBoundedParam[Duration]( + name = "home_timeline_suggest_based_fatigue_duration_in_hours", + default = 0.hours, + min = 0.hours, + max = 1000.hours) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromHours + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/BUILD new file mode 100644 index 000000000..140cc928d --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/BUILD @@ -0,0 +1,13 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/content_recommender_flow", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/HomeTimelineTweetRecsProduct.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/HomeTimelineTweetRecsProduct.scala new file mode 100644 index 000000000..a5586f296 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/HomeTimelineTweetRecsProduct.scala @@ -0,0 +1,50 @@ +package com.twitter.follow_recommendations.products.home_timeline_tweet_recs + +import com.twitter.follow_recommendations.common.base.BaseRecommendationFlow +import com.twitter.follow_recommendations.common.base.IdentityTransform +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.Recommendation +import com.twitter.follow_recommendations.flows.content_recommender_flow.ContentRecommenderFlow +import com.twitter.follow_recommendations.flows.content_recommender_flow.ContentRecommenderRequestBuilder +import com.twitter.follow_recommendations.products.common.Product +import com.twitter.follow_recommendations.products.common.ProductRequest +import com.twitter.follow_recommendations.products.home_timeline_tweet_recs.configapi.HomeTimelineTweetRecsParams._ +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +/* + * This "DisplayLocation" is used to generate user recommendations using the ContentRecommenderFlow. These recommendations are later used downstream + * to generate recommended tweets on Home Timeline. + */ +@Singleton +class HomeTimelineTweetRecsProduct @Inject() ( + contentRecommenderFlow: ContentRecommenderFlow, + contentRecommenderRequestBuilder: ContentRecommenderRequestBuilder) + extends Product { + override val name: String = "Home Timeline Tweet Recs" + + override val identifier: String = "home-timeline-tweet-recs" + + override val displayLocation: DisplayLocation = DisplayLocation.HomeTimelineTweetRecs + + override def selectWorkflows( + request: ProductRequest + ): Stitch[Seq[BaseRecommendationFlow[ProductRequest, _ <: Recommendation]]] = { + contentRecommenderRequestBuilder.build(request).map { contentRecommenderRequest => + Seq(contentRecommenderFlow.mapKey({ request: ProductRequest => contentRecommenderRequest })) + } + } + + override val blender: Transform[ProductRequest, Recommendation] = + new IdentityTransform[ProductRequest, Recommendation] + + override def resultsTransformer( + request: ProductRequest + ): Stitch[Transform[ProductRequest, Recommendation]] = + Stitch.value(new IdentityTransform[ProductRequest, Recommendation]) + + override def enabled(request: ProductRequest): Stitch[Boolean] = + Stitch.value(request.params(EnableProduct)) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi/BUILD new file mode 100644 index 000000000..9be8d9647 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi/BUILD @@ -0,0 +1,10 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core", + "configapi/configapi-decider", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi/HomeTimelineTweetRecsParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi/HomeTimelineTweetRecsParams.scala new file mode 100644 index 000000000..319a51847 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/home_timeline_tweet_recs/configapi/HomeTimelineTweetRecsParams.scala @@ -0,0 +1,7 @@ +package com.twitter.follow_recommendations.products.home_timeline_tweet_recs.configapi + +import com.twitter.timelines.configapi.Param + +object HomeTimelineTweetRecsParams { + object EnableProduct extends Param[Boolean](false) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/BUILD new file mode 100644 index 000000000..f469a4748 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/BUILD @@ -0,0 +1,14 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/blenders", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/ads", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/flows/post_nux_ml", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/common", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/SidebarProduct.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/SidebarProduct.scala new file mode 100644 index 000000000..29f788011 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/SidebarProduct.scala @@ -0,0 +1,73 @@ +package com.twitter.follow_recommendations.products.sidebar + +import com.twitter.follow_recommendations.common.base.BaseRecommendationFlow +import com.twitter.follow_recommendations.common.base.IdentityTransform +import com.twitter.follow_recommendations.common.base.Transform +import com.twitter.follow_recommendations.flows.ads.PromotedAccountsFlow +import com.twitter.follow_recommendations.flows.ads.PromotedAccountsFlowRequest +import com.twitter.follow_recommendations.blenders.PromotedAccountsBlender +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.follow_recommendations.common.models.Recommendation +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlFlow +import com.twitter.follow_recommendations.flows.post_nux_ml.PostNuxMlRequestBuilder +import com.twitter.follow_recommendations.products.common.Product +import com.twitter.follow_recommendations.products.common.ProductRequest +import com.twitter.follow_recommendations.products.sidebar.configapi.SidebarParams +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SidebarProduct @Inject() ( + postNuxMlFlow: PostNuxMlFlow, + postNuxMlRequestBuilder: PostNuxMlRequestBuilder, + promotedAccountsFlow: PromotedAccountsFlow, + promotedAccountsBlender: PromotedAccountsBlender) + extends Product { + override val name: String = "Sidebar" + + override val identifier: String = "sidebar" + + override val displayLocation: DisplayLocation = DisplayLocation.Sidebar + + override def selectWorkflows( + request: ProductRequest + ): Stitch[Seq[BaseRecommendationFlow[ProductRequest, _ <: Recommendation]]] = { + postNuxMlRequestBuilder.build(request).map { postNuxMlRequest => + Seq( + postNuxMlFlow.mapKey({ _: ProductRequest => postNuxMlRequest }), + promotedAccountsFlow.mapKey(mkPromotedAccountsRequest) + ) + } + } + + override val blender: Transform[ProductRequest, Recommendation] = { + promotedAccountsBlender.mapTarget[ProductRequest](getMaxResults) + } + + private[sidebar] def mkPromotedAccountsRequest( + req: ProductRequest + ): PromotedAccountsFlowRequest = { + PromotedAccountsFlowRequest( + req.recommendationRequest.clientContext, + req.params, + req.recommendationRequest.displayLocation, + None, + req.recommendationRequest.excludedIds.getOrElse(Nil) + ) + } + + private[sidebar] def getMaxResults(req: ProductRequest): Int = { + req.recommendationRequest.maxResults.getOrElse( + req.params(SidebarParams.DefaultMaxResults) + ) + } + + override def resultsTransformer( + request: ProductRequest + ): Stitch[Transform[ProductRequest, Recommendation]] = + Stitch.value(new IdentityTransform[ProductRequest, Recommendation]) + + override def enabled(request: ProductRequest): Stitch[Boolean] = + Stitch.value(request.params(SidebarParams.EnableProduct)) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi/BUILD new file mode 100644 index 000000000..6fee24f89 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi/BUILD @@ -0,0 +1,8 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi/SidebarParams.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi/SidebarParams.scala new file mode 100644 index 000000000..bbd026495 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products/sidebar/configapi/SidebarParams.scala @@ -0,0 +1,9 @@ +package com.twitter.follow_recommendations.products.sidebar.configapi + +import com.twitter.timelines.configapi.Param + +object SidebarParams { + object EnableProduct extends Param[Boolean](false) + + object DefaultMaxResults extends Param[Int](20) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/BUILD new file mode 100644 index 000000000..fe29c22de --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/BUILD @@ -0,0 +1,34 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-server/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/crowd_search_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/top_organic_follows_accounts", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/clients/impression_store", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/predicates/sgs", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/ranking", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/rankers/ml_ranker/scoring", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/utils", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/assembler/models", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/deciders", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/logging", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/products", + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry", + "twitter-server/server/src/main/scala", + "util/util-app/src/main/scala", + "util/util-core:scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/FollowRecommendationsServiceWarmupHandler.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/FollowRecommendationsServiceWarmupHandler.scala new file mode 100644 index 000000000..19189e692 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/FollowRecommendationsServiceWarmupHandler.scala @@ -0,0 +1,105 @@ +package com.twitter.follow_recommendations.services + +import com.twitter.finagle.thrift.ClientId +import com.twitter.finatra.thrift.routing.ThriftWarmup +import com.twitter.follow_recommendations.thriftscala.FollowRecommendationsThriftService.GetRecommendations +import com.twitter.follow_recommendations.thriftscala.ClientContext +import com.twitter.follow_recommendations.thriftscala.DebugParams +import com.twitter.follow_recommendations.thriftscala.DisplayContext +import com.twitter.follow_recommendations.thriftscala.DisplayLocation +import com.twitter.follow_recommendations.thriftscala.Profile +import com.twitter.follow_recommendations.thriftscala.RecommendationRequest +import com.twitter.inject.Logging +import com.twitter.inject.utils.Handler +import com.twitter.scrooge.Request +import com.twitter.scrooge.Response +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class FollowRecommendationsServiceWarmupHandler @Inject() (warmup: ThriftWarmup) + extends Handler + with Logging { + + /** + * this would need to be added to src/main/resources/client_whitelist.yml + * if we implement ClientId filtering in the future + */ + private val clientId = ClientId("thrift-warmup-client") + + override def handle(): Unit = { + val testIds = Seq(1L) + def warmupQuery(userId: Long, displayLocation: DisplayLocation): RecommendationRequest = { + val clientContext = ClientContext( + userId = Some(userId), + guestId = None, + appId = Some(258901L), + ipAddress = Some("0.0.0.0"), + userAgent = Some("FAKE_USER_AGENT_FOR_WARMUPS"), + countryCode = Some("US"), + languageCode = Some("en"), + isTwoffice = None, + userRoles = None, + deviceId = Some("FAKE_DEVICE_ID_FOR_WARMUPS") + ) + RecommendationRequest( + clientContext = clientContext, + displayLocation = displayLocation, + displayContext = Some(DisplayContext.Profile(Profile(12L))), + maxResults = Some(3), + fetchPromotedContent = Some(false), + debugParams = Some(DebugParams(doNotLog = Some(true))) + ) + } + + // Add FRS display locations here if they should be targeted for warm-up + // when FRS is starting from a fresh state after a deploy + val displayLocationsToWarmUp: Seq[DisplayLocation] = Seq( + DisplayLocation.HomeTimeline, + DisplayLocation.HomeTimelineReverseChron, + DisplayLocation.ProfileSidebar, + DisplayLocation.NuxInterests, + DisplayLocation.NuxPymk + ) + + try { + clientId.asCurrent { + // Iterate over each user ID created for testing + testIds foreach { id => + // Iterate over each display location targeted for warm-up + displayLocationsToWarmUp foreach { displayLocation => + val warmupReq = warmupQuery(id, displayLocation) + info(s"Sending warm-up request to service with query: $warmupReq") + warmup.sendRequest( + method = GetRecommendations, + req = Request(GetRecommendations.Args(warmupReq)))(assertWarmupResponse) + // send the request one more time so that it goes through cache hits + warmup.sendRequest( + method = GetRecommendations, + req = Request(GetRecommendations.Args(warmupReq)))(assertWarmupResponse) + } + } + } + } catch { + case e: Throwable => + // we don't want a warmup failure to prevent start-up + error(e.getMessage, e) + } + info("Warm-up done.") + } + + /* Private */ + + private def assertWarmupResponse(result: Try[Response[GetRecommendations.SuccessType]]): Unit = { + // we collect and log any exceptions from the result. + result match { + case Return(_) => // ok + case Throw(exception) => + warn() + error(s"Error performing warm-up request: ${exception.getMessage}", exception) + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductMixerRecommendationService.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductMixerRecommendationService.scala new file mode 100644 index 000000000..daff9040d --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductMixerRecommendationService.scala @@ -0,0 +1,72 @@ +package com.twitter.follow_recommendations.services + +import com.twitter.finagle.stats.StatsReceiver +import javax.inject.Inject +import javax.inject.Singleton +import com.twitter.timelines.configapi.Params +import com.twitter.follow_recommendations.common.utils.DisplayLocationProductConverterUtil +import com.twitter.follow_recommendations.configapi.deciders.DeciderParams +import com.twitter.follow_recommendations.logging.FrsLogger +import com.twitter.follow_recommendations.models.{DebugParams => FrsDebugParams} +import com.twitter.follow_recommendations.models.RecommendationRequest +import com.twitter.follow_recommendations.models.RecommendationResponse +import com.twitter.follow_recommendations.models.Request +import com.twitter.product_mixer.core.model.marshalling.request.{ + DebugParams => ProductMixerDebugParams +} +import com.twitter.product_mixer.core.product.registry.ProductPipelineRegistry +import com.twitter.product_mixer.core.pipeline.product.ProductPipelineRequest +import com.twitter.stitch.Stitch + +@Singleton +class ProductMixerRecommendationService @Inject() ( + productPipelineRegistry: ProductPipelineRegistry, + resultLogger: FrsLogger, + baseStats: StatsReceiver) { + + private val stats = baseStats.scope("product_mixer_recos_service_stats") + private val loggingStats = stats.scope("logged") + + def get(request: RecommendationRequest, params: Params): Stitch[RecommendationResponse] = { + if (params(DeciderParams.EnableRecommendations)) { + val productMixerRequest = convertToProductMixerRequest(request) + + productPipelineRegistry + .getProductPipeline[Request, RecommendationResponse](productMixerRequest.product) + .process(ProductPipelineRequest(productMixerRequest, params)).onSuccess { response => + if (resultLogger.shouldLog(request.debugParams)) { + loggingStats.counter().incr() + resultLogger.logRecommendationResult(request, response) + } + } + } else { + Stitch.value(RecommendationResponse(Nil)) + } + + } + + def convertToProductMixerRequest(frsRequest: RecommendationRequest): Request = { + Request( + maxResults = frsRequest.maxResults, + debugParams = convertToProductMixerDebugParams(frsRequest.debugParams), + productContext = None, + product = + DisplayLocationProductConverterUtil.displayLocationToProduct(frsRequest.displayLocation), + clientContext = frsRequest.clientContext, + serializedRequestCursor = frsRequest.cursor, + frsDebugParams = frsRequest.debugParams, + displayLocation = frsRequest.displayLocation, + excludedIds = frsRequest.excludedIds, + fetchPromotedContent = frsRequest.fetchPromotedContent, + userLocationState = frsRequest.userLocationState + ) + } + + private def convertToProductMixerDebugParams( + frsDebugParams: Option[FrsDebugParams] + ): Option[ProductMixerDebugParams] = { + frsDebugParams.map { debugParams => + ProductMixerDebugParams(debugParams.featureOverrides, None) + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductPipelineSelector.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductPipelineSelector.scala new file mode 100644 index 000000000..1c949f03d --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductPipelineSelector.scala @@ -0,0 +1,188 @@ +package com.twitter.follow_recommendations.services + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.common.models.DebugOptions +import com.twitter.follow_recommendations.models.DebugParams +import com.twitter.follow_recommendations.models.RecommendationRequest +import com.twitter.follow_recommendations.models.RecommendationResponse +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.Params +import javax.inject.Inject +import javax.inject.Singleton +import scala.util.Random + +@Singleton +class ProductPipelineSelector @Inject() ( + recommendationsService: RecommendationsService, + productMixerRecommendationService: ProductMixerRecommendationService, + productPipelineSelectorConfig: ProductPipelineSelectorConfig, + baseStats: StatsReceiver) { + + private val frsStats = baseStats.scope("follow_recommendations_service") + private val stats = frsStats.scope("product_pipeline_selector_parity") + + private val readFromProductMixerCounter = stats.counter("select_product_mixer") + private val readFromOldFRSCounter = stats.counter("select_old_frs") + + def selectPipeline( + request: RecommendationRequest, + params: Params + ): Stitch[RecommendationResponse] = { + productPipelineSelectorConfig + .getDarkReadAndExpParams(request.displayLocation).map { darkReadAndExpParam => + if (params(darkReadAndExpParam.expParam)) { + readFromProductMixerPipeline(request, params) + } else if (params(darkReadAndExpParam.darkReadParam)) { + darkReadAndReturnResult(request, params) + } else { + readFromOldFrsPipeline(request, params) + } + }.getOrElse(readFromOldFrsPipeline(request, params)) + } + + private def readFromProductMixerPipeline( + request: RecommendationRequest, + params: Params + ): Stitch[RecommendationResponse] = { + readFromProductMixerCounter.incr() + productMixerRecommendationService.get(request, params) + } + + private def readFromOldFrsPipeline( + request: RecommendationRequest, + params: Params + ): Stitch[RecommendationResponse] = { + readFromOldFRSCounter.incr() + recommendationsService.get(request, params) + } + + private def darkReadAndReturnResult( + request: RecommendationRequest, + params: Params + ): Stitch[RecommendationResponse] = { + val darkReadStats = stats.scope("select_dark_read", request.displayLocation.toFsName) + darkReadStats.counter("count").incr() + + // If no seed is set, create a random one that both requests will use to remove differences + // in randomness for the WeightedCandidateSourceRanker + val randomizationSeed = new Random().nextLong() + + val oldFRSPiplelineRequest = request.copy( + debugParams = Some( + request.debugParams.getOrElse( + DebugParams(None, Some(DebugOptions(randomizationSeed = Some(randomizationSeed)))))) + ) + val productMixerPipelineRequest = request.copy( + debugParams = Some( + request.debugParams.getOrElse( + DebugParams( + None, + Some(DebugOptions(doNotLog = true, randomizationSeed = Some(randomizationSeed)))))) + ) + + StatsUtil + .profileStitch( + readFromOldFrsPipeline(oldFRSPiplelineRequest, params), + darkReadStats.scope("frs_timing")).applyEffect { frsOldPipelineResponse => + Stitch.async( + StatsUtil + .profileStitch( + readFromProductMixerPipeline(productMixerPipelineRequest, params), + darkReadStats.scope("product_mixer_timing")).liftToOption().map { + case Some(frsProductMixerResponse) => + darkReadStats.counter("product_mixer_pipeline_success").incr() + compare(request, frsOldPipelineResponse, frsProductMixerResponse) + case None => + darkReadStats.counter("product_mixer_pipeline_failure").incr() + } + ) + } + } + + def compare( + request: RecommendationRequest, + frsOldPipelineResponse: RecommendationResponse, + frsProductMixerResponse: RecommendationResponse + ): Unit = { + val compareStats = stats.scope("pipeline_comparison", request.displayLocation.toFsName) + compareStats.counter("total-comparisons").incr() + + val oldFrsMap = frsOldPipelineResponse.recommendations.map { user => user.id -> user }.toMap + val productMixerMap = frsProductMixerResponse.recommendations.map { user => + user.id -> user + }.toMap + + compareTopNResults(3, frsOldPipelineResponse, frsProductMixerResponse, compareStats) + compareTopNResults(5, frsOldPipelineResponse, frsProductMixerResponse, compareStats) + compareTopNResults(25, frsOldPipelineResponse, frsProductMixerResponse, compareStats) + compareTopNResults(50, frsOldPipelineResponse, frsProductMixerResponse, compareStats) + compareTopNResults(75, frsOldPipelineResponse, frsProductMixerResponse, compareStats) + + // Compare individual matching candidates + oldFrsMap.keys.foreach(userId => { + if (productMixerMap.contains(userId)) { + (oldFrsMap(userId), productMixerMap(userId)) match { + case (oldFrsUser: CandidateUser, productMixerUser: CandidateUser) => + compareStats.counter("matching-user-count").incr() + compareUser(oldFrsUser, productMixerUser, compareStats) + case _ => + compareStats.counter("unknown-user-type-count").incr() + } + } else { + compareStats.counter("missing-user-count").incr() + } + }) + } + + private def compareTopNResults( + n: Int, + frsOldPipelineResponse: RecommendationResponse, + frsProductMixerResponse: RecommendationResponse, + compareStats: StatsReceiver + ): Unit = { + if (frsOldPipelineResponse.recommendations.size >= n && frsProductMixerResponse.recommendations.size >= n) { + val oldFrsPipelineFirstN = frsOldPipelineResponse.recommendations.take(n).map(_.id) + val productMixerPipelineFirstN = frsProductMixerResponse.recommendations.take(n).map(_.id) + + if (oldFrsPipelineFirstN.sorted == productMixerPipelineFirstN.sorted) + compareStats.counter(s"first-$n-sorted-equal-ids").incr() + if (oldFrsPipelineFirstN == productMixerPipelineFirstN) + compareStats.counter(s"first-$n-unsorted-ids-equal").incr() + else + compareStats.counter(s"first-$n-unsorted-ids-unequal").incr() + } + } + + private def compareUser( + oldFrsUser: CandidateUser, + productMixerUser: CandidateUser, + stats: StatsReceiver + ): Unit = { + val userStats = stats.scope("matching-user") + + if (oldFrsUser.score != productMixerUser.score) + userStats.counter("mismatch-score").incr() + if (oldFrsUser.reason != productMixerUser.reason) + userStats.counter("mismatch-reason").incr() + if (oldFrsUser.userCandidateSourceDetails != productMixerUser.userCandidateSourceDetails) + userStats.counter("mismatch-userCandidateSourceDetails").incr() + if (oldFrsUser.adMetadata != productMixerUser.adMetadata) + userStats.counter("mismatch-adMetadata").incr() + if (oldFrsUser.trackingToken != productMixerUser.trackingToken) + userStats.counter("mismatch-trackingToken").incr() + if (oldFrsUser.dataRecord != productMixerUser.dataRecord) + userStats.counter("mismatch-dataRecord").incr() + if (oldFrsUser.scores != productMixerUser.scores) + userStats.counter("mismatch-scores").incr() + if (oldFrsUser.infoPerRankingStage != productMixerUser.infoPerRankingStage) + userStats.counter("mismatch-infoPerRankingStage").incr() + if (oldFrsUser.params != productMixerUser.params) + userStats.counter("mismatch-params").incr() + if (oldFrsUser.engagements != productMixerUser.engagements) + userStats.counter("mismatch-engagements").incr() + if (oldFrsUser.recommendationFlowIdentifier != productMixerUser.recommendationFlowIdentifier) + userStats.counter("mismatch-recommendationFlowIdentifier").incr() + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductPipelineSelectorConfig.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductPipelineSelectorConfig.scala new file mode 100644 index 000000000..a1cac3316 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductPipelineSelectorConfig.scala @@ -0,0 +1,19 @@ +package com.twitter.follow_recommendations.services + +import com.twitter.follow_recommendations.common.models.DisplayLocation +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.Param +import javax.inject.Singleton + +@Singleton +class ProductPipelineSelectorConfig { + private val paramsMap: Map[DisplayLocation, DarkReadAndExpParams] = Map.empty + + def getDarkReadAndExpParams( + displayLocation: DisplayLocation + ): Option[DarkReadAndExpParams] = { + paramsMap.get(displayLocation) + } +} + +case class DarkReadAndExpParams(darkReadParam: Param[Boolean], expParam: FSParam[Boolean]) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductRecommenderService.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductRecommenderService.scala new file mode 100644 index 000000000..967790a08 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/ProductRecommenderService.scala @@ -0,0 +1,72 @@ +package com.twitter.follow_recommendations.services + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.StatsUtil +import com.twitter.follow_recommendations.common.models.Recommendation +import com.twitter.follow_recommendations.models.RecommendationRequest +import com.twitter.follow_recommendations.products.common.ProductRegistry +import com.twitter.follow_recommendations.products.common.ProductRequest +import com.twitter.stitch.Stitch +import com.twitter.follow_recommendations.configapi.params.GlobalParams.EnableWhoToFollowProducts +import com.twitter.timelines.configapi.Params +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ProductRecommenderService @Inject() ( + productRegistry: ProductRegistry, + statsReceiver: StatsReceiver) { + + private val stats = statsReceiver.scope("ProductRecommenderService") + + def getRecommendations( + request: RecommendationRequest, + params: Params + ): Stitch[Seq[Recommendation]] = { + val displayLocation = request.displayLocation + val displayLocationStatName = displayLocation.toString + val locationStats = stats.scope(displayLocationStatName) + val loggedInOrOutStats = if (request.clientContext.userId.isDefined) { + stats.scope("logged_in").scope(displayLocationStatName) + } else { + stats.scope("logged_out").scope(displayLocationStatName) + } + + loggedInOrOutStats.counter("requests").incr() + val product = productRegistry.getProductByDisplayLocation(displayLocation) + val productRequest = ProductRequest(request, params) + val productEnabledStitch = + StatsUtil.profileStitch(product.enabled(productRequest), locationStats.scope("enabled")) + productEnabledStitch.flatMap { productEnabled => + if (productEnabled && params(EnableWhoToFollowProducts)) { + loggedInOrOutStats.counter("enabled").incr() + val stitch = for { + workflows <- StatsUtil.profileStitch( + product.selectWorkflows(productRequest), + locationStats.scope("select_workflows")) + workflowRecos <- StatsUtil.profileStitch( + Stitch.collect( + workflows.map(_.process(productRequest).map(_.result.getOrElse(Seq.empty)))), + locationStats.scope("execute_workflows") + ) + blendedCandidates <- StatsUtil.profileStitch( + product.blender.transform(productRequest, workflowRecos.flatten), + locationStats.scope("blend_results")) + resultsTransformer <- StatsUtil.profileStitch( + product.resultsTransformer(productRequest), + locationStats.scope("results_transformer")) + transformedCandidates <- StatsUtil.profileStitch( + resultsTransformer.transform(productRequest, blendedCandidates), + locationStats.scope("execute_results_transformer")) + } yield { + transformedCandidates + } + StatsUtil.profileStitchResults[Seq[Recommendation]](stitch, locationStats, _.size) + } else { + loggedInOrOutStats.counter("disabled").incr() + locationStats.counter("disabled_product").incr() + Stitch.Nil + } + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/RecommendationsService.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/RecommendationsService.scala new file mode 100644 index 000000000..e4bc1e3c0 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/RecommendationsService.scala @@ -0,0 +1,28 @@ +package com.twitter.follow_recommendations.services + +import com.twitter.follow_recommendations.configapi.deciders.DeciderParams +import com.twitter.follow_recommendations.logging.FrsLogger +import com.twitter.follow_recommendations.models.RecommendationRequest +import com.twitter.follow_recommendations.models.RecommendationResponse +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.Params +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class RecommendationsService @Inject() ( + productRecommenderService: ProductRecommenderService, + resultLogger: FrsLogger) { + def get(request: RecommendationRequest, params: Params): Stitch[RecommendationResponse] = { + if (params(DeciderParams.EnableRecommendations)) { + productRecommenderService + .getRecommendations(request, params).map(RecommendationResponse).onSuccess { response => + if (resultLogger.shouldLog(request.debugParams)) { + resultLogger.logRecommendationResult(request, response) + } + } + } else { + Stitch.value(RecommendationResponse(Nil)) + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/UserScoringService.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/UserScoringService.scala new file mode 100644 index 000000000..b3a8c6664 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/UserScoringService.scala @@ -0,0 +1,84 @@ +package com.twitter.follow_recommendations.services + +import com.twitter.finagle.stats.Counter +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.follow_recommendations.common.base.StatsUtil.profileStitchSeqResults +import com.twitter.follow_recommendations.common.clients.impression_store.WtfImpressionStore +import com.twitter.follow_recommendations.common.clients.socialgraph.SocialGraphClient +import com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking.HydrateFeaturesTransform +import com.twitter.follow_recommendations.common.rankers.ml_ranker.ranking.MlRanker +import com.twitter.follow_recommendations.common.utils.RescueWithStatsUtils.rescueWithStats +import com.twitter.follow_recommendations.configapi.deciders.DeciderParams +import com.twitter.follow_recommendations.logging.FrsLogger +import com.twitter.follow_recommendations.models.ScoringUserRequest +import com.twitter.follow_recommendations.models.ScoringUserResponse +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class UserScoringService @Inject() ( + socialGraph: SocialGraphClient, + wtfImpressionStore: WtfImpressionStore, + hydrateFeaturesTransform: HydrateFeaturesTransform[ScoringUserRequest], + mlRanker: MlRanker[ScoringUserRequest], + resultLogger: FrsLogger, + stats: StatsReceiver) { + + private val scopedStats: StatsReceiver = stats.scope(this.getClass.getSimpleName) + private val disabledCounter: Counter = scopedStats.counter("disabled") + + def get(request: ScoringUserRequest): Stitch[ScoringUserResponse] = { + if (request.params(DeciderParams.EnableScoreUserCandidates)) { + val hydratedRequest = hydrate(request) + val candidatesStitch = hydratedRequest.flatMap { req => + hydrateFeaturesTransform.transform(req, request.candidates).flatMap { + candidateWithFeatures => + mlRanker.rank(req, candidateWithFeatures) + } + } + profileStitchSeqResults(candidatesStitch, scopedStats) + .map(ScoringUserResponse) + .onSuccess { response => + if (resultLogger.shouldLog(request.debugParams)) { + resultLogger.logScoringResult(request, response) + } + } + } else { + disabledCounter.incr() + Stitch.value(ScoringUserResponse(Nil)) + } + } + + private def hydrate(request: ScoringUserRequest): Stitch[ScoringUserRequest] = { + val allStitches = Stitch.collect(request.clientContext.userId.map { userId => + val recentFollowedUserIdsStitch = + rescueWithStats( + socialGraph.getRecentFollowedUserIds(userId), + stats, + "recentFollowedUserIds") + val recentFollowedByUserIdsStitch = + rescueWithStats( + socialGraph.getRecentFollowedByUserIds(userId), + stats, + "recentFollowedByUserIds") + val wtfImpressionsStitch = + rescueWithStats( + wtfImpressionStore.get(userId, request.displayLocation), + stats, + "wtfImpressions") + Stitch.join(recentFollowedUserIdsStitch, recentFollowedByUserIdsStitch, wtfImpressionsStitch) + }) + allStitches.map { + case Some((recentFollowedUserIds, recentFollowedByUserIds, wtfImpressions)) => + request.copy( + recentFollowedUserIds = + if (recentFollowedUserIds.isEmpty) None else Some(recentFollowedUserIds), + recentFollowedByUserIds = + if (recentFollowedByUserIds.isEmpty) None else Some(recentFollowedByUserIds), + wtfImpressions = if (wtfImpressions.isEmpty) None else Some(wtfImpressions) + ) + case _ => request + } + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/exceptions/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/exceptions/BUILD new file mode 100644 index 000000000..8b2c2d041 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/exceptions/BUILD @@ -0,0 +1,14 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + tags = ["bazel-compatible"], + dependencies = [ + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift:controller", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/exceptions", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/filters", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/modules", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/response", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/routing", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/exceptions/UnknownExceptionMapper.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/exceptions/UnknownExceptionMapper.scala new file mode 100644 index 000000000..f3a09a6d7 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/services/exceptions/UnknownExceptionMapper.scala @@ -0,0 +1,18 @@ +package com.twitter.follow_recommendations.service.exceptions + +import com.twitter.finatra.thrift.exceptions.ExceptionMapper +import com.twitter.inject.Logging +import com.twitter.util.Future +import javax.inject.Singleton + +@Singleton +class UnknownLoggingExceptionMapper extends ExceptionMapper[Exception, Throwable] with Logging { + def handleException(throwable: Exception): Future[Throwable] = { + error( + s"Unmapped Exception: ${throwable.getMessage} - ${throwable.getStackTrace.mkString(", \n\t")}", + throwable + ) + + Future.exception(throwable) + } +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/BUILD b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/BUILD new file mode 100644 index 000000000..e92976ad8 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/BUILD @@ -0,0 +1,29 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-server/src/main/scala", + "finatra/inject/inject-thrift-client", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/base", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/addressbook", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/geo", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/ppmi_locale_follow", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/recent_engagement", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/sims_expansion", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/socialgraph", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/stp", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/triangular_loops", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/two_hop_random_walk", + "follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/feature_hydration/sources", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/configapi/params", + "follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/models", + "twitter-server/server/src/main/scala", + "util/util-app/src/main/scala", + "util/util-core:scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/CandidateSourceHoldbackUtil.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/CandidateSourceHoldbackUtil.scala new file mode 100644 index 000000000..60a28f1a8 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/CandidateSourceHoldbackUtil.scala @@ -0,0 +1,82 @@ +package com.twitter.follow_recommendations.utils + +import com.twitter.follow_recommendations.common.candidate_sources.addressbook._ +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountrySource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopCountryBackFillSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeoSource +import com.twitter.follow_recommendations.common.candidate_sources.geo.PopGeohashSource +import com.twitter.follow_recommendations.common.candidate_sources.ppmi_locale_follow.PPMILocaleFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.recent_engagement.RecentEngagementNonDirectFollowSource +import com.twitter.follow_recommendations.common.candidate_sources.sims.SwitchingSimsSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentEngagementSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentFollowingSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.sims_expansion.RecentStrongEngagementDirectFollowSimilarUsersSource +import com.twitter.follow_recommendations.common.candidate_sources.socialgraph.RecentFollowingRecentFollowingExpansionSource +import com.twitter.follow_recommendations.common.candidate_sources.stp.MutualFollowStrongTiePredictionSource +import com.twitter.follow_recommendations.common.candidate_sources.stp.OfflineStrongTiePredictionSource +import com.twitter.follow_recommendations.common.candidate_sources.stp.BaseOnlineSTPSource +import com.twitter.follow_recommendations.common.candidate_sources.stp.SocialProofEnforcedOfflineStrongTiePredictionSource +import com.twitter.follow_recommendations.common.candidate_sources.triangular_loops.TriangularLoopsSource +import com.twitter.follow_recommendations.common.candidate_sources.two_hop_random_walk.TwoHopRandomWalkSource +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.follow_recommendations.configapi.params.GlobalParams +import com.twitter.follow_recommendations.models.CandidateSourceType +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.timelines.configapi.HasParams + +trait CandidateSourceHoldbackUtil { + import CandidateSourceHoldbackUtil._ + def filterCandidateSources[T <: HasParams]( + request: T, + sources: Seq[CandidateSource[T, CandidateUser]] + ): Seq[CandidateSource[T, CandidateUser]] = { + val typeToFilter = request.params(GlobalParams.CandidateSourcesToFilter) + val sourcesToFilter = CandidateSourceTypeToMap.get(typeToFilter).getOrElse(Set.empty) + sources.filterNot { source => sourcesToFilter.contains(source.identifier) } + } +} + +object CandidateSourceHoldbackUtil { + final val ContextualActivityCandidateSourceIds: Set[CandidateSourceIdentifier] = + Set( + RecentFollowingSimilarUsersSource.Identifier, + RecentEngagementNonDirectFollowSource.Identifier, + RecentEngagementSimilarUsersSource.Identifier, + RecentStrongEngagementDirectFollowSimilarUsersSource.Identifier, + SwitchingSimsSource.Identifier, + ) + + final val SocialCandidateSourceIds: Set[CandidateSourceIdentifier] = + Set( + ForwardEmailBookSource.Identifier, + ForwardPhoneBookSource.Identifier, + ReverseEmailBookSource.Identifier, + ReversePhoneBookSource.Identifier, + RecentFollowingRecentFollowingExpansionSource.Identifier, + BaseOnlineSTPSource.Identifier, + MutualFollowStrongTiePredictionSource.Identifier, + OfflineStrongTiePredictionSource.Identifier, + SocialProofEnforcedOfflineStrongTiePredictionSource.Identifier, + TriangularLoopsSource.Identifier, + TwoHopRandomWalkSource.Identifier + ) + + final val GeoCandidateSourceIds: Set[CandidateSourceIdentifier] = + Set( + PPMILocaleFollowSource.Identifier, + PopCountrySource.Identifier, + PopGeohashSource.Identifier, + PopCountryBackFillSource.Identifier, + PopGeoSource.Identifier, + ) + + final val CandidateSourceTypeToMap: Map[CandidateSourceType.Value, Set[ + CandidateSourceIdentifier + ]] = + Map( + CandidateSourceType.Social -> SocialCandidateSourceIds, + CandidateSourceType.ActivityContextual -> ContextualActivityCandidateSourceIds, + CandidateSourceType.GeoAndInterests -> GeoCandidateSourceIds + ) +} diff --git a/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/RecommendationFlowBaseSideEffectsUtil.scala b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/RecommendationFlowBaseSideEffectsUtil.scala new file mode 100644 index 000000000..9304fb398 --- /dev/null +++ b/follow-recommendations-service/server/src/main/scala/com/twitter/follow_recommendations/utils/RecommendationFlowBaseSideEffectsUtil.scala @@ -0,0 +1,121 @@ +package com.twitter.follow_recommendations.utils + +import com.twitter.follow_recommendations.common.base.RecommendationFlow +import com.twitter.follow_recommendations.common.base.SideEffectsUtil +import com.twitter.follow_recommendations.common.models.CandidateUser +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.stitch.Stitch + +trait RecommendationFlowBaseSideEffectsUtil[Target <: HasClientContext, Candidate <: CandidateUser] + extends SideEffectsUtil[Target, Candidate] { + recommendationFlow: RecommendationFlow[Target, Candidate] => + + override def applySideEffects( + target: Target, + candidateSources: Seq[CandidateSource[Target, Candidate]], + candidatesFromCandidateSources: Seq[Candidate], + mergedCandidates: Seq[Candidate], + filteredCandidates: Seq[Candidate], + rankedCandidates: Seq[Candidate], + transformedCandidates: Seq[Candidate], + truncatedCandidates: Seq[Candidate], + results: Seq[Candidate] + ): Stitch[Unit] = { + Stitch.async( + Stitch.collect( + Seq( + applySideEffectsCandidateSourceCandidates( + target, + candidateSources, + candidatesFromCandidateSources), + applySideEffectsMergedCandidates(target, mergedCandidates), + applySideEffectsFilteredCandidates(target, filteredCandidates), + applySideEffectsRankedCandidates(target, rankedCandidates), + applySideEffectsTransformedCandidates(target, transformedCandidates), + applySideEffectsTruncatedCandidates(target, truncatedCandidates), + applySideEffectsResults(target, results) + ) + )) + } + + /* + In subclasses, override functions below to apply custom side effects at each step in pipeline. + Call super.applySideEffectsXYZ to scribe basic scribes implemented in this parent class + */ + def applySideEffectsCandidateSourceCandidates( + target: Target, + candidateSources: Seq[CandidateSource[Target, Candidate]], + candidatesFromCandidateSources: Seq[Candidate] + ): Stitch[Unit] = { + val candidatesGroupedByCandidateSources = + candidatesFromCandidateSources.groupBy( + _.getPrimaryCandidateSource.getOrElse(CandidateSourceIdentifier("NoCandidateSource"))) + + target.getOptionalUserId match { + case Some(userId) => + val userAgeOpt = SnowflakeId.timeFromIdOpt(userId).map(_.untilNow.inDays) + userAgeOpt match { + case Some(userAge) if userAge <= 30 => + candidateSources.map { candidateSource => + { + val candidateSourceStats = statsReceiver.scope(candidateSource.identifier.name) + + val isEmpty = + !candidatesGroupedByCandidateSources.keySet.contains(candidateSource.identifier) + + if (userAge <= 1) + candidateSourceStats + .scope("user_age", "1", "empty").counter(isEmpty.toString).incr() + if (userAge <= 7) + candidateSourceStats + .scope("user_age", "7", "empty").counter(isEmpty.toString).incr() + if (userAge <= 30) + candidateSourceStats + .scope("user_age", "30", "empty").counter(isEmpty.toString).incr() + } + } + case _ => Nil + } + case None => Nil + } + Stitch.Unit + } + + def applySideEffectsBaseCandidates( + target: Target, + candidates: Seq[Candidate] + ): Stitch[Unit] = Stitch.Unit + + def applySideEffectsMergedCandidates( + target: Target, + candidates: Seq[Candidate] + ): Stitch[Unit] = applySideEffectsBaseCandidates(target, candidates) + + def applySideEffectsFilteredCandidates( + target: Target, + candidates: Seq[Candidate] + ): Stitch[Unit] = applySideEffectsBaseCandidates(target, candidates) + + def applySideEffectsRankedCandidates( + target: Target, + candidates: Seq[Candidate] + ): Stitch[Unit] = applySideEffectsBaseCandidates(target, candidates) + + def applySideEffectsTransformedCandidates( + target: Target, + candidates: Seq[Candidate] + ): Stitch[Unit] = applySideEffectsBaseCandidates(target, candidates) + + def applySideEffectsTruncatedCandidates( + target: Target, + candidates: Seq[Candidate] + ): Stitch[Unit] = applySideEffectsBaseCandidates(target, candidates) + + def applySideEffectsResults( + target: Target, + candidates: Seq[Candidate] + ): Stitch[Unit] = applySideEffectsBaseCandidates(target, candidates) +} diff --git a/follow-recommendations-service/thrift/src/main/thrift/BUILD b/follow-recommendations-service/thrift/src/main/thrift/BUILD new file mode 100644 index 000000000..e5cbd19cf --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/BUILD @@ -0,0 +1,21 @@ +create_thrift_libraries( + base_name = "thrift", + sources = ["*.thrift"], + platform = "java8", + tags = ["bazel-compatible"], + dependency_roots = [ + "finatra-internal/thrift/src/main/thrift", + "follow-recommendations-service/thrift/src/main/thrift/logging:thrift", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift", + "src/thrift/com/twitter/ads/adserver:adserver_common", + "src/thrift/com/twitter/ml/api:data", + "src/thrift/com/twitter/suggests/controller_data", + ], + generate_languages = [ + "java", + "scala", + "strato", + ], + provides_java_name = "follow-recommendations-java", + provides_scala_name = "follow-recommendations-scala", +) diff --git a/follow-recommendations-service/thrift/src/main/thrift/assembler.thrift b/follow-recommendations-service/thrift/src/main/thrift/assembler.thrift new file mode 100644 index 000000000..eb782d0fe --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/assembler.thrift @@ -0,0 +1,42 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +struct Header { + 1: required Title title +} + +struct Title { + 1: required string text +} + +struct Footer { + 1: optional Action action +} + +struct Action { + 1: required string text + 2: required string actionURL +} + +struct UserList { + 1: required bool userBioEnabled + 2: required bool userBioTruncated + 3: optional i64 userBioMaxLines + 4: optional FeedbackAction feedbackAction +} + +struct Carousel { + 1: optional FeedbackAction feedbackAction +} + +union WTFPresentation { + 1: UserList userBioList + 2: Carousel carousel +} + +struct DismissUserId {} + +union FeedbackAction { + 1: DismissUserId dismissUserId +} diff --git a/follow-recommendations-service/thrift/src/main/thrift/client_context.thrift b/follow-recommendations-service/thrift/src/main/thrift/client_context.thrift new file mode 100644 index 000000000..adbdc407a --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/client_context.thrift @@ -0,0 +1,19 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +// Caller/Client level specific context (e.g, user id/guest id/app id). +struct ClientContext { + 1: optional i64 userId(personalDataType='UserId') + 2: optional i64 guestId(personalDataType='GuestId') + 3: optional i64 appId(personalDataType='AppId') + 4: optional string ipAddress(personalDataType='IpAddress') + 5: optional string userAgent(personalDataType='UserAgent') + 6: optional string countryCode(personalDataType='InferredCountry') + 7: optional string languageCode(personalDataType='InferredLanguage') + 9: optional bool isTwoffice(personalDataType='InferredLocation') + 10: optional set userRoles + 11: optional string deviceId(personalDataType='DeviceId') + 12: optional i64 guestIdAds(personalDataType='GuestId') + 13: optional i64 guestIdMarketing(personalDataType='GuestId') +}(hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/debug.thrift b/follow-recommendations-service/thrift/src/main/thrift/debug.thrift new file mode 100644 index 000000000..a41c59114 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/debug.thrift @@ -0,0 +1,73 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendation + +// These are broken into their own union +// because we can have features that are +// complex flavors of these (such as Seq) +union PrimitiveFeatureValue { + 1: i32 intValue + 2: i64 longValue + 3: string strValue + 4: bool boolValue +} + +union FeatureValue { + 1: PrimitiveFeatureValue primitiveValue +} + +struct DebugParams { + 1: optional map featureOverrides + 2: optional i64 randomizationSeed + 3: optional bool includeDebugInfoInResults + 4: optional bool doNotLog +} + +enum DebugCandidateSourceIdentifier { + UTT_INTERESTS_RELATED_USERS_SOURCE = 0 + UTT_PRODUCER_EXPANSION_SOURCE = 1 + UTT_SEED_ACCOUNT_SOURCE = 2 + BYF_USER_FOLLOW_CLUSTER_SIMS_SOURCE = 3 + BYF_USER_FOLLOW_CLUSTER_SOURCE = 4 + USER_FOLLOW_CLUSTER_SOURCE = 5 + RECENT_SEARCH_BASED_SOURCE = 6 + PEOPLE_ACTIVITY_RECENT_ENGAGEMENT_SOURCE = 7 + PEOPLE_ACTIVITY_RECENT_ENGAGEMENT_SIMS_SOURCE = 8, + REVERSE_PHONE_BOOK_SOURCE = 9, + REVERSE_EMAIL_BOOK_SOURCE = 10, + SIMS_DEBUG_STORE = 11, + UTT_PRODUCER_ONLINE_MBCG_SOURCE = 12, + BONUS_FOLLOW_CONDITIONAL_ENGAGEMENT_STORE = 13, + // 14 (BONUS_FOLLOW_PMI_STORE) was deleted as it's not used anymore + FOLLOW2VEC_NEAREST_NEIGHBORS_STORE = 15, + OFFLINE_STP = 16, + OFFLINE_STP_BIG = 17, + OFFLINE_MUTUAL_FOLLOW_EXPANSION = 18, + REPEATED_PROFILE_VISITS = 19, + TIME_DECAY_FOLLOW2VEC_NEAREST_NEIGHBORS_STORE = 20, + LINEAR_REGRESSION_FOLLOW2VEC_NEAREST_NEIGHBORS_STORE = 21, + REAL_GRAPH_EXPANSION_SOURCE = 22, + RELATABLE_ACCOUNTS_BY_INTEREST = 23, + EMAIL_TWEET_CLICK = 24, + GOOD_TWEET_CLICK_ENGAGEMENTS = 25, + ENGAGED_FOLLOWER_RATIO = 26, + TWEET_SHARE_ENGAGEMENTS = 27, + BULK_FRIEND_FOLLOWS = 28, + REAL_GRAPH_OON_V2_SOURCE = 30, + CROWD_SEARCH_ACCOUNTS = 31, + POP_GEOHASH = 32, + POP_COUNTRY = 33, + POP_COUNTRY_BACKFILL = 34, + TWEET_SHARER_TO_SHARE_RECIPIENT_ENGAGEMENTS = 35, + TWEET_AUTHOR_TO_SHARE_RECIPIENT_ENGAGEMENTS = 36, + BULK_FRIEND_FOLLOWS_NEW_USER = 37, + ONLINE_STP_EPSCORER = 38, + ORGANIC_FOLLOW_ACCOUNTS = 39, + NUX_LO_HISTORY = 40, + TRAFFIC_ATTRIBUTION_ACCOUNTS = 41, + ONLINE_STP_RAW_ADDRESS_BOOK = 42, + POP_GEOHASH_QUALITY_FOLLOW = 43, + NOTIFICATION_ENGAGEMENT = 44, + EFR_BY_WORLDWIDE_PICTURE_PRODUCER = 45, + POP_GEOHASH_REAL_GRAPH = 46, +} diff --git a/follow-recommendations-service/thrift/src/main/thrift/display_context.thrift b/follow-recommendations-service/thrift/src/main/thrift/display_context.thrift new file mode 100644 index 000000000..cfd613b71 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/display_context.thrift @@ -0,0 +1,62 @@ +include "flows.thrift" +include "recently_engaged_user_id.thrift" + +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +struct Profile { + 1: required i64 profileId(personalDataType='UserId') +}(hasPersonalData='true') + +struct Search { + 1: required string searchQuery(personalDataType='SearchQuery') +}(hasPersonalData='true') + +struct Rux { + 1: required i64 focalAuthorId(personalDataType='UserId') +}(hasPersonalData='true') + +struct Topic { + 1: required i64 topicId(personalDataType = 'TopicFollow') +}(hasPersonalData='true') + +struct ReactiveFollow { + 1: required list followedUserIds(personalDataType='UserId') +}(hasPersonalData='true') + +struct NuxInterests { + 1: optional flows.FlowContext flowContext // set for recommendation inside an interactive flow + 2: optional list uttInterestIds // if provided, we use these interestIds for generating candidates instead of for example fetching user selected interests +}(hasPersonalData='true') + +struct AdCampaignTarget { + 1: required list similarToUserIds(personalDataType='UserId') +}(hasPersonalData='true') + +struct ConnectTab { + 1: required list byfSeedUserIds(personalDataType='UserId') + 2: required list similarToUserIds(personalDataType='UserId') + 3: required list recentlyEngagedUserIds +}(hasPersonalData='true') + +struct SimilarToUser { + 1: required i64 similarToUserId(personalDataType='UserId') +}(hasPersonalData='true') + +struct PostNuxFollowTask { + 1: optional flows.FlowContext flowContext // set for recommendation inside an interactive flow +}(hasPersonalData='true') + +union DisplayContext { + 1: Profile profile + 2: Search search + 3: Rux rux + 4: Topic topic + 5: ReactiveFollow reactiveFollow + 6: NuxInterests nuxInterests + 7: AdCampaignTarget adCampaignTarget + 8: ConnectTab connectTab + 9: SimilarToUser similarToUser + 10: PostNuxFollowTask postNuxFollowTask +}(hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/display_location.thrift b/follow-recommendations-service/thrift/src/main/thrift/display_location.thrift new file mode 100644 index 000000000..d94b9842e --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/display_location.thrift @@ -0,0 +1,55 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +enum DisplayLocation { + SIDEBAR = 0 + PROFILE_SIDEBAR = 2 + CLUSTER_FOLLOW = 7 + NEW_USER_SARUS_BACKFILL = 12 + PROFILE_DEVICE_FOLLOW = 23 + RECOS_BACKFILL = 32 + HOME_TIMELINE = 39 # HOME_TIMELINE_WTF in Hermit + PROFILE_TOP_FOLLOWING = 42 + PROFILE_TOP_FOLLOWERS = 43 + PEOPLE_PLUS_PLUS = 47 + EXPLORE_TAB = 57 + MagicRecs = 59 # Account recommendation in notification + AB_UPLOAD_INJECTION = 60 + /** + * To prevent setting 2 display locations with the same index in FRS. + * + * The display location should be added to the following files: + * - follow-recommendations-service/thrift/src/main/thrift/display_location.thrift + * - follow-recommendations-service/thrift/src/main/thrift/logging/display_location.thrift + * - follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/DisplayLocation.scala + */ + CAMPAIGN_FORM = 61 + RUX_LANDING_PAGE = 62 + PROFILE_BONUS_FOLLOW = 63 + ELECTION_EXPLORE_WTF = 64 + HTL_BONUS_FOLLOW = 65 + TOPIC_LANDING_PAGE_HEADER = 66 + NUX_PYMK = 67 + NUX_INTERESTS = 68 + REACTIVE_FOLLOW = 69 + RUX_PYMK = 70 + INDIA_COVID19_CURATED_ACCOUNTS_WTF = 71 + NUX_TOPIC_BONUS_FOLLOW = 72 + TWEET_NOTIFICATION_RECS = 73 + HTL_SPACE_HOSTS = 74 + POST_NUX_FOLLOW_TASK = 75 + TOPIC_LANDING_PAGE = 76 + USER_TYPEAHEAD_PREFETCH = 77 + HOME_TIMELINE_RELATABLE_ACCOUNTS = 78 + NUX_GEO_CATEGORY = 79 + NUX_INTERESTS_CATEGORY = 80 + NUX_PYMK_CATEGORY = 81 + TOP_ARTICLES = 82 + HOME_TIMELINE_TWEET_RECS = 83 + HTL_BULK_FRIEND_FOLLOWS = 84 + NUX_AUTO_FOLLOW = 85 + SEARCH_BONUS_FOLLOW = 86 + CONTENT_RECOMMENDER = 87 + HOME_TIMELINE_REVERSE_CHRON = 88 +} diff --git a/follow-recommendations-service/thrift/src/main/thrift/engagementType.thrift b/follow-recommendations-service/thrift/src/main/thrift/engagementType.thrift new file mode 100644 index 000000000..ef028d008 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/engagementType.thrift @@ -0,0 +1,11 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +enum EngagementType { + Click = 0 + Like = 1 + Mention = 2 + Retweet = 3 + ProfileView = 4 +} diff --git a/follow-recommendations-service/thrift/src/main/thrift/flows.thrift b/follow-recommendations-service/thrift/src/main/thrift/flows.thrift new file mode 100644 index 000000000..894ebf81e --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/flows.thrift @@ -0,0 +1,20 @@ +/* + * This file defines additional thrift objects that should be specified in FRS request for context of recommendation, specifically the previous recommendations / new interactions in an interactive flow (series of follow steps). These typically are sent from OCF + */ + +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +struct FlowRecommendation { + 1: required i64 userId(personalDataType='UserId') +}(hasPersonalData='true') + +struct RecommendationStep { + 1: required list recommendations + 2: required set followedUserIds(personalDataType='UserId') +}(hasPersonalData='true') + +struct FlowContext { + 1: required list steps +}(hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/follow-recommendations-service.thrift b/follow-recommendations-service/thrift/src/main/thrift/follow-recommendations-service.thrift new file mode 100644 index 000000000..40aadc0b6 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/follow-recommendations-service.thrift @@ -0,0 +1,100 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +include "assembler.thrift" +include "client_context.thrift" +include "debug.thrift" +include "display_context.thrift" +include "display_location.thrift" +include "recommendations.thrift" +include "recently_engaged_user_id.thrift" + +include "finatra-thrift/finatra_thrift_exceptions.thrift" +include "com/twitter/product_mixer/core/pipeline_execution_result.thrift" + +struct RecommendationRequest { + 1: required client_context.ClientContext clientContext + 2: required display_location.DisplayLocation displayLocation + 3: optional display_context.DisplayContext displayContext + // Max results to return + 4: optional i32 maxResults + // Cursor to continue returning results if any + 5: optional string cursor + // IDs of Content to exclude from recommendations + 6: optional list excludedIds(personalDataType='UserId') + // Whether to also get promoted content + 7: optional bool fetchPromotedContent + 8: optional debug.DebugParams debugParams + 9: optional string userLocationState(personalDataType='InferredLocation') +}(hasPersonalData='true') + + +struct RecommendationResponse { + 1: required list recommendations +}(hasPersonalData='true') + +// for scoring a list of candidates, while logging hydrated features +struct ScoringUserRequest { + 1: required client_context.ClientContext clientContext + 2: required display_location.DisplayLocation displayLocation + 3: required list candidates + 4: optional debug.DebugParams debugParams +}(hasPersonalData='true') + +struct ScoringUserResponse { + 1: required list candidates // empty for now +}(hasPersonalData='true') + +// for getting the list of candidates generated by a single candidate source +struct DebugCandidateSourceRequest { + 1: required client_context.ClientContext clientContext + 2: required debug.DebugCandidateSourceIdentifier candidateSource + 3: optional list uttInterestIds + 4: optional debug.DebugParams debugParams + 5: optional list recentlyFollowedUserIds + 6: optional list recentlyEngagedUserIds + 7: optional list byfSeedUserIds + 8: optional list similarToUserIds + 9: required bool applySgsPredicate + 10: optional i32 maxResults +}(hasPersonalData='true') + +service FollowRecommendationsThriftService { + RecommendationResponse getRecommendations(1: RecommendationRequest request) throws ( + 1: finatra_thrift_exceptions.ServerError serverError, + 2: finatra_thrift_exceptions.UnknownClientIdError unknownClientIdError, + 3: finatra_thrift_exceptions.NoClientIdError noClientIdError + ) + RecommendationDisplayResponse getRecommendationDisplayResponse(1: RecommendationRequest request) throws ( + 1: finatra_thrift_exceptions.ServerError serverError, + 2: finatra_thrift_exceptions.UnknownClientIdError unknownClientIdError, + 3: finatra_thrift_exceptions.NoClientIdError noClientIdError + ) + // temporary endpoint for feature hydration and logging for data collection. + ScoringUserResponse scoreUserCandidates(1: ScoringUserRequest request) throws ( + 1: finatra_thrift_exceptions.ServerError serverError, + 2: finatra_thrift_exceptions.UnknownClientIdError unknownClientIdError, + 3: finatra_thrift_exceptions.NoClientIdError noClientIdError + ) + // Debug endpoint for getting recommendations of a single candidate source. We can remove this endpoint when ProMix provide this functionality and we integrate with it. + RecommendationResponse debugCandidateSource(1: DebugCandidateSourceRequest request) throws ( + 1: finatra_thrift_exceptions.ServerError serverError, + 2: finatra_thrift_exceptions.UnknownClientIdError unknownClientIdError, + 3: finatra_thrift_exceptions.NoClientIdError noClientIdError + ) + + // Get the full execution log for a pipeline (used by our debugging tools) + pipeline_execution_result.PipelineExecutionResult executePipeline(1: RecommendationRequest request) throws ( + 1: finatra_thrift_exceptions.ServerError serverError, + 2: finatra_thrift_exceptions.UnknownClientIdError unknownClientIdError, + 3: finatra_thrift_exceptions.NoClientIdError noClientIdError + ) +} + +struct RecommendationDisplayResponse { + 1: required list hydratedRecommendation + 2: optional assembler.Header header + 3: optional assembler.Footer footer + 4: optional assembler.WTFPresentation wtfPresentation +}(hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/follow_recommendations_serving_history.thrift b/follow-recommendations-service/thrift/src/main/thrift/follow_recommendations_serving_history.thrift new file mode 100644 index 000000000..404b0ae29 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/follow_recommendations_serving_history.thrift @@ -0,0 +1,9 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +// struct used for storing the history of computing and serving of recommendations to a user +struct FollowRecommendationsServingHistory { + 1: required i64 lastComputationTimeMs (personalDataType = 'PrivateTimestamp') + 2: required i64 lastServingTimeMs (personalDataType = 'PrivateTimestamp') +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/BUILD b/follow-recommendations-service/thrift/src/main/thrift/logging/BUILD new file mode 100644 index 000000000..2f769d498 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/BUILD @@ -0,0 +1,18 @@ +create_thrift_libraries( + base_name = "thrift", + sources = ["*.thrift"], + platform = "java8", + tags = ["bazel-compatible"], + dependency_roots = [ + "src/thrift/com/twitter/ads/adserver:adserver_common", + "src/thrift/com/twitter/ml/api:data", + "src/thrift/com/twitter/suggests/controller_data", + ], + generate_languages = [ + "java", + "scala", + "strato", + ], + provides_java_name = "follow-recommendations-logging-java", + provides_scala_name = "follow-recommendations-logging-scala", +) diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/client_context.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/client_context.thrift new file mode 100644 index 000000000..2b6e454b2 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/client_context.thrift @@ -0,0 +1,14 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +// Offline equal of ClientContext +struct OfflineClientContext { + 1: optional i64 userId(personalDataType='UserId') + 2: optional i64 guestId(personalDataType='GuestId') + 3: optional i64 appId(personalDataType='AppId') + 4: optional string countryCode(personalDataType='InferredCountry') + 5: optional string languageCode(personalDataType='InferredLanguage') + 6: optional i64 guestIdAds(personalDataType='GuestId') + 7: optional i64 guestIdMarketing(personalDataType='GuestId') +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/debug.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/debug.thrift new file mode 100644 index 000000000..882dca005 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/debug.thrift @@ -0,0 +1,8 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendation.logging + +// subset of DebugParams +struct OfflineDebugParams { + 1: optional i64 randomizationSeed // track if the request was randomly ranked or not +}(persisted='true', hasPersonalData='false') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/display_context.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/display_context.thrift new file mode 100644 index 000000000..c38850011 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/display_context.thrift @@ -0,0 +1,66 @@ +include "logging/flows.thrift" +include "logging/recently_engaged_user_id.thrift" + +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +// Offline equal of Profile DisplayContext +struct OfflineProfile { + 1: required i64 profileId(personalDataType='UserId') +}(persisted='true', hasPersonalData='true') + +// Offline equal of Search DisplayContext +struct OfflineSearch { + 1: required string searchQuery(personalDataType='SearchQuery') +}(persisted='true', hasPersonalData='true') + +// Offline equal of Rux Landing Page DisplayContext +struct OfflineRux { + 1: required i64 focalAuthorId(personalDataType="UserId") +}(persisted='true', hasPersonalData='true') + +// Offline equal of Topic DisplayContext +struct OfflineTopic { + 1: required i64 topicId(personalDataType = 'TopicFollow') +}(persisted='true', hasPersonalData='true') + +struct OfflineReactiveFollow { + 1: required list followedUserIds(personalDataType='UserId') +}(persisted='true', hasPersonalData='true') + +struct OfflineNuxInterests { + 1: optional flows.OfflineFlowContext flowContext // set for recommendation inside an interactive flow +}(persisted='true', hasPersonalData='true') + +struct OfflineAdCampaignTarget { + 1: required list similarToUserIds(personalDataType='UserId') +}(persisted='true', hasPersonalData='true') + +struct OfflineConnectTab { + 1: required list byfSeedUserIds(personalDataType='UserId') + 2: required list similarToUserIds(personalDataType='UserId') + 3: required list recentlyEngagedUserIds +}(persisted='true', hasPersonalData='true') + +struct OfflineSimilarToUser { + 1: required i64 similarToUserId(personalDataType='UserId') +}(persisted='true', hasPersonalData='true') + +struct OfflinePostNuxFollowTask { + 1: optional flows.OfflineFlowContext flowContext // set for recommendation inside an interactive flow +}(persisted='true', hasPersonalData='true') + +// Offline equal of DisplayContext +union OfflineDisplayContext { + 1: OfflineProfile profile + 2: OfflineSearch search + 3: OfflineRux rux + 4: OfflineTopic topic + 5: OfflineReactiveFollow reactiveFollow + 6: OfflineNuxInterests nuxInterests + 7: OfflineAdCampaignTarget adCampaignTarget + 8: OfflineConnectTab connectTab + 9: OfflineSimilarToUser similarToUser + 10: OfflinePostNuxFollowTask postNuxFollowTask +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/display_location.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/display_location.thrift new file mode 100644 index 000000000..a4dbbecd4 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/display_location.thrift @@ -0,0 +1,55 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +/** + * Make sure you add the new DL to the following files and redeploy our attribution jobs + * - follow-recommendations-service/thrift/src/main/thrift/display_location.thrift + * - follow-recommendations-service/thrift/src/main/thrift/logging/display_location.thrift + * - follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/models/DisplayLocation.scala + */ + +// Offline equal of DisplayLocation +enum OfflineDisplayLocation { + SIDEBAR = 0 + PROFILE_SIDEBAR = 2 + CLUSTER_FOLLOW = 7 + NEW_USER_SARUS_BACKFILL = 12 + PROFILE_DEVICE_FOLLOW = 23 + RECOS_BACKFILL = 32 + HOME_TIMELINE = 39 + PROFILE_TOP_FOLLOWING = 42 + PROFILE_TOP_FOLLOWERS = 43 + PEOPLE_PLUS_PLUS = 47 + EXPLORE_TAB = 57 + MagicRecs = 59 + AB_UPLOAD_INJECTION = 60 + CAMPAIGN_FORM = 61 + RUX_LANDING_PAGE = 62 + PROFILE_BONUS_FOLLOW = 63 + ELECTION_EXPLORE_WTF = 64 + HTL_BONUS_FOLLOW = 65 + TOPIC_LANDING_PAGE_HEADER = 66 + NUX_PYMK = 67 + NUX_INTERESTS = 68 + REACTIVE_FOLLOW = 69 + RUX_PYMK = 70 + INDIA_COVID19_CURATED_ACCOUNTS_WTF=71 + NUX_TOPIC_BONUS_FOLLOW = 72 + TWEET_NOTIFICATION_RECS = 73 + HTL_SPACE_HOSTS = 74 + POST_NUX_FOLLOW_TASK = 75 + TOPIC_LANDING_PAGE = 76 + USER_TYPEAHEAD_PREFETCH = 77 + HOME_TIMELINE_RELATABLE_ACCOUNTS = 78 + NUX_GEO_CATEGORY = 79 + NUX_INTERESTS_CATEGORY = 80 + NUX_PYMK_CATEGORY = 81 + TOP_ARTICLES = 82 + HOME_TIMELINE_TWEET_RECS = 83 + HTL_BULK_FRIEND_FOLLOWS = 84 + NUX_AUTO_FOLLOW = 85 + SEARCH_BONUS_FOLLOW = 86 + CONTENT_RECOMMENDER = 87 + HOME_TIMELINE_REVERSE_CHRON = 88 +}(persisted='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/engagementType.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/engagementType.thrift new file mode 100644 index 000000000..75191f16f --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/engagementType.thrift @@ -0,0 +1,11 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +enum EngagementType { + Click = 0 + Like = 1 + Mention = 2 + Retweet = 3 + ProfileView = 4 +} diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/flows.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/flows.thrift new file mode 100644 index 000000000..98551c08e --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/flows.thrift @@ -0,0 +1,16 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +struct OfflineFlowRecommendation { + 1: required i64 userId(personalDataType='UserId') +}(persisted='true', hasPersonalData='true') + +struct OfflineRecommendationStep { + 1: required list recommendations + 2: required set followedUserIds(personalDataType='UserId') +}(persisted='true', hasPersonalData='true') + +struct OfflineFlowContext { + 1: required list steps +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/logs.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/logs.thrift new file mode 100644 index 000000000..33f09cfb9 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/logs.thrift @@ -0,0 +1,72 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +include "client_context.thrift" +include "debug.thrift" +include "display_context.thrift" +include "display_location.thrift" +include "recommendations.thrift" + +struct OfflineRecommendationRequest { + 1: required client_context.OfflineClientContext clientContext + 2: required display_location.OfflineDisplayLocation displayLocation + 3: optional display_context.OfflineDisplayContext displayContext + 4: optional i32 maxResults + 5: optional string cursor + 6: optional list excludedIds(personalDataType='UserId') + 7: optional bool fetchPromotedContent + 8: optional debug.OfflineDebugParams debugParams +}(persisted='true', hasPersonalData='true') + +struct OfflineRecommendationResponse { + 1: required list recommendations +}(persisted='true', hasPersonalData='true') + +struct RecommendationLog { + 1: required OfflineRecommendationRequest request + 2: required OfflineRecommendationResponse response + 3: required i64 timestampMs +}(persisted='true', hasPersonalData='true') + +struct OfflineScoringUserRequest { + 1: required client_context.OfflineClientContext clientContext + 2: required display_location.OfflineDisplayLocation displayLocation + 3: required list candidates +}(persisted='true', hasPersonalData='true') + +struct OfflineScoringUserResponse { + 1: required list candidates +}(persisted='true', hasPersonalData='true') + +struct ScoredUsersLog { + 1: required OfflineScoringUserRequest request + 2: required OfflineScoringUserResponse response + 3: required i64 timestampMs +}(persisted='true', hasPersonalData='true') + +struct OfflineRecommendationFlowUserMetadata { + 1: optional i32 userSignupAge(personalDataType = 'AgeOfAccount') + 2: optional string userState(personalDataType = 'UserState') +}(persisted='true', hasPersonalData='true') + +struct OfflineRecommendationFlowSignals { + 1: optional string countryCode(personalDataType='InferredCountry') +}(persisted='true', hasPersonalData='true') + +struct OfflineRecommendationFlowCandidateSourceCandidates { + 1: required string candidateSourceName + 2: required list candidateUserIds(personalDataType='UserId') + 3: optional list candidateUserScores +}(persisted='true', hasPersonalData='true') + +struct RecommendationFlowLog { + 1: required client_context.OfflineClientContext clientContext + 2: optional OfflineRecommendationFlowUserMetadata userMetadata + 3: optional OfflineRecommendationFlowSignals signals + 4: required i64 timestampMs + 5: required string recommendationFlowIdentifier + 6: optional list filteredCandidates + 7: optional list rankedCandidates + 8: optional list truncatedCandidates +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/reasons.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/reasons.thrift new file mode 100644 index 000000000..6fc24d919 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/reasons.thrift @@ -0,0 +1,62 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +// Proof based on Follow relationship +struct FollowProof { + 1: required list userIds(personalDataType='UserId') + 2: required i32 numIds(personalDataType='CountOfFollowersAndFollowees') +}(persisted='true', hasPersonalData='true') + +// Similar to userIds in the context (e.g. profileId) +struct SimilarToProof { + 1: required list userIds(personalDataType='UserId') +}(persisted='true', hasPersonalData='true') + +// Proof based on geo location +struct PopularInGeoProof { + 1: required string location(personalDataType='InferredLocation') +}(persisted='true', hasPersonalData='true') + +// Proof based on ttt interest +struct TttInterestProof { + 1: required i64 interestId(personalDataType='ProvidedInterests') + 2: required string interestDisplayName(personalDataType='ProvidedInterests') +}(persisted='true', hasPersonalData='true') + +// Proof based on topics +struct TopicProof { + 1: required i64 topicId(personalDataType='ProvidedInterests') +}(persisted='true', hasPersonalData='true') + +// Proof based on custom interest / search queries +struct CustomInterestProof { + 1: required string customerInterest(personalDataType='SearchQuery') +}(persisted='true', hasPersonalData='true') + +// Proof based on tweet authors +struct TweetsAuthorProof { + 1: required list tweetIds(personalDataType='TweetId') +}(persisted='true', hasPersonalData='true') + +// Proof candidate is of device follow type +struct DeviceFollowProof { + 1: required bool isDeviceFollow(personalDataType='OtherDeviceInfo') +}(persisted='true', hasPersonalData='true') + +// Account level proof that should be attached to each candidate +struct AccountProof { + 1: optional FollowProof followProof + 2: optional SimilarToProof similarToProof + 3: optional PopularInGeoProof popularInGeoProof + 4: optional TttInterestProof tttInterestProof + 5: optional TopicProof topicProof + 6: optional CustomInterestProof customInterestProof + 7: optional TweetsAuthorProof tweetsAuthorProof + 8: optional DeviceFollowProof deviceFollowProof + +}(persisted='true', hasPersonalData='true') + +struct Reason { + 1: optional AccountProof accountProof +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/recently_engaged_user_id.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/recently_engaged_user_id.thrift new file mode 100644 index 000000000..f0af960b9 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/recently_engaged_user_id.thrift @@ -0,0 +1,10 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +include "engagementType.thrift" + +struct RecentlyEngagedUserId { + 1: required i64 id(personalDataType='UserId') + 2: required engagementType.EngagementType engagementType +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/recommendations.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/recommendations.thrift new file mode 100644 index 000000000..bf94e41b8 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/recommendations.thrift @@ -0,0 +1,26 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +include "com/twitter/ads/adserver/adserver_common.thrift" +include "reasons.thrift" +include "tracking.thrift" +include "scoring.thrift" + +// Offline equal of UserRecommendation +struct OfflineUserRecommendation { + 1: required i64 userId(personalDataType='UserId') + // reason for this suggestions, eg: social context + 2: optional reasons.Reason reason + // present if it is a promoted account + 3: optional adserver_common.AdImpression adImpression + // tracking token (unserialized) for attribution + 4: optional tracking.TrackingToken trackingToken + // scoring details + 5: optional scoring.ScoringDetails scoringDetails +}(persisted='true', hasPersonalData='true') + +// Offline equal of Recommendation +union OfflineRecommendation { + 1: OfflineUserRecommendation user +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/scoring.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/scoring.thrift new file mode 100644 index 000000000..e1524662d --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/scoring.thrift @@ -0,0 +1,38 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +include "com/twitter/ml/api/data.thrift" + +struct CandidateSourceDetails { + 1: optional map candidateSourceScores + 2: optional i32 primarySource +}(persisted='true', hasPersonalData='false') + +struct Score { + 1: required double value + 2: optional string rankerId + 3: optional string scoreType +}(persisted='true', hasPersonalData='false') // scoring and ranking info per ranking stage + +// Contains (1) the ML-based heavy ranker and score (2) scores and rankers in producer experiment framework +struct Scores { + 1: required list scores + 2: optional string selectedRankerId + 3: required bool isInProducerScoringExperiment +}(persisted='true', hasPersonalData='false') + +struct RankingInfo { + 1: optional Scores scores + 2: optional i32 rank +}(persisted='true', hasPersonalData='false') + +// this encapsulates all information related to the ranking process from generation to scoring +struct ScoringDetails { + 1: optional CandidateSourceDetails candidateSourceDetails + 2: optional double score // The ML-based heavy ranker score + 3: optional data.DataRecord dataRecord + 4: optional list rankerIds // all ranker ids, including (1) ML-based heavy ranker (2) non-ML adhoc rankers + 5: optional map infoPerRankingStage // scoring and ranking info per ranking stage +}(persisted='true', hasPersonalData='true') + diff --git a/follow-recommendations-service/thrift/src/main/thrift/logging/tracking.thrift b/follow-recommendations-service/thrift/src/main/thrift/logging/tracking.thrift new file mode 100644 index 000000000..067ba1a46 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/logging/tracking.thrift @@ -0,0 +1,16 @@ +namespace java com.twitter.follow_recommendations.logging.thriftjava +#@namespace scala com.twitter.follow_recommendations.logging.thriftscala +#@namespace strato com.twitter.follow_recommendations.logging + +include "com/twitter/suggests/controller_data/controller_data.thrift" +include "display_location.thrift" + +struct TrackingToken { + // trace-id of the request + 1: required i64 sessionId (personalDataType='SessionId') + 2: optional display_location.OfflineDisplayLocation displayLocation + // 64-bit encoded binary attributes of our recommendation + 3: optional controller_data.ControllerData controllerData + // WTF Algorithm Id (backward compatibility) + 4: optional i32 algoId +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/reasons.thrift b/follow-recommendations-service/thrift/src/main/thrift/reasons.thrift new file mode 100644 index 000000000..299e88885 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/reasons.thrift @@ -0,0 +1,61 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +// Proof based on Follow relationship +struct FollowProof { + 1: required list userIds(personalDataType='UserId') + 2: required i32 numIds(personalDataType='CountOfFollowersAndFollowees') +}(hasPersonalData='true') + +// Similar to userIds in the context (e.g. profileId) +struct SimilarToProof { + 1: required list userIds(personalDataType='UserId') +}(hasPersonalData='true') + +// Proof based on geo location +struct PopularInGeoProof { + 1: required string location(personalDataType='InferredLocation') +}(hasPersonalData='true') + +// Proof based on ttt interest +struct TttInterestProof { + 1: required i64 interestId(personalDataType='ProvidedInterests') + 2: required string interestDisplayName(personalDataType='ProvidedInterests') +}(hasPersonalData='true') + +// Proof based on topics +struct TopicProof { + 1: required i64 topicId(personalDataType='ProvidedInterests') +}(hasPersonalData='true') + +// Proof based on custom interest / search queries +struct CustomInterestProof { + 1: required string query(personalDataType='SearchQuery') +}(hasPersonalData='true') + +// Proof based on tweet authors +struct TweetsAuthorProof { + 1: required list tweetIds(personalDataType='TweetId') +}(hasPersonalData='true') + +// Proof candidate is of device follow type +struct DeviceFollowProof { + 1: required bool isDeviceFollow(personalDataType='OtherDeviceInfo') +}(hasPersonalData='true') + +// Account level proof that should be attached to each candidate +struct AccountProof { + 1: optional FollowProof followProof + 2: optional SimilarToProof similarToProof + 3: optional PopularInGeoProof popularInGeoProof + 4: optional TttInterestProof tttInterestProof + 5: optional TopicProof topicProof + 6: optional CustomInterestProof customInterestProof + 7: optional TweetsAuthorProof tweetsAuthorProof + 8: optional DeviceFollowProof deviceFollowProof +}(hasPersonalData='true') + +struct Reason { + 1: optional AccountProof accountProof +}(hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/recently_engaged_user_id.thrift b/follow-recommendations-service/thrift/src/main/thrift/recently_engaged_user_id.thrift new file mode 100644 index 000000000..6a13bd31e --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/recently_engaged_user_id.thrift @@ -0,0 +1,10 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +include "engagementType.thrift" + +struct RecentlyEngagedUserId { + 1: required i64 id(personalDataType='UserId') + 2: required engagementType.EngagementType engagementType +}(persisted='true', hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/recommendations.thrift b/follow-recommendations-service/thrift/src/main/thrift/recommendations.thrift new file mode 100644 index 000000000..1070bb11c --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/recommendations.thrift @@ -0,0 +1,40 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +include "com/twitter/ads/adserver/adserver_common.thrift" +include "debug.thrift" +include "reasons.thrift" +include "scoring.thrift" + +struct UserRecommendation { + 1: required i64 userId(personalDataType='UserId') + // reason for this suggestions, eg: social context + 2: optional reasons.Reason reason + // present if it is a promoted account + 3: optional adserver_common.AdImpression adImpression + // tracking token for attribution + 4: optional string trackingInfo + // scoring details + 5: optional scoring.ScoringDetails scoringDetails + 6: optional string recommendationFlowIdentifier + // FeatureSwitch overrides for candidates: + 7: optional map featureOverrides +}(hasPersonalData='true') + +union Recommendation { + 1: UserRecommendation user +}(hasPersonalData='true') + +struct HydratedUserRecommendation { + 1: required i64 userId(personalDataType='UserId') + 2: optional string socialProof + // present if it is a promoted account, used by clients for determining ad impression + 3: optional adserver_common.AdImpression adImpression + // tracking token for attribution + 4: optional string trackingInfo +}(hasPersonalData='true') + +union HydratedRecommendation { + 1: HydratedUserRecommendation hydratedUserRecommendation +} diff --git a/follow-recommendations-service/thrift/src/main/thrift/scoring.thrift b/follow-recommendations-service/thrift/src/main/thrift/scoring.thrift new file mode 100644 index 000000000..33111baf8 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/scoring.thrift @@ -0,0 +1,49 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +include "com/twitter/ml/api/data.thrift" + +struct CandidateSourceDetails { + 1: optional map candidateSourceScores + 2: optional i32 primarySource + 3: optional map candidateSourceRanks +}(hasPersonalData='false') + +struct Score { + 1: required double value + 2: optional string rankerId + 3: optional string scoreType +}(hasPersonalData='false') + +// Contains (1) the ML-based heavy ranker and score (2) scores and rankers in producer experiment framework +struct Scores { + 1: required list scores + 2: optional string selectedRankerId + 3: required bool isInProducerScoringExperiment +}(hasPersonalData='false') + +struct RankingInfo { + 1: optional Scores scores + 2: optional i32 rank +}(hasPersonalData='false') + +// this encapsulates all information related to the ranking process from generation to scoring +struct ScoringDetails { + 1: optional CandidateSourceDetails candidateSourceDetails + 2: optional double score + 3: optional data.DataRecord dataRecord + 4: optional list rankerIds + 5: optional DebugDataRecord debugDataRecord // this field is not logged as it's only used for debugging + 6: optional map infoPerRankingStage // scoring and ranking info per ranking stage +}(hasPersonalData='true') + +// exactly the same as a data record, except that we store the feature name instead of the id +struct DebugDataRecord { + 1: optional set binaryFeatures; // stores BINARY features + 2: optional map continuousFeatures; // stores CONTINUOUS features + 3: optional map discreteFeatures; // stores DISCRETE features + 4: optional map stringFeatures; // stores STRING features + 5: optional map> sparseBinaryFeatures; // stores sparse BINARY features + 6: optional map> sparseContinuousFeatures; // sparse CONTINUOUS features +}(hasPersonalData='true') diff --git a/follow-recommendations-service/thrift/src/main/thrift/tracking.thrift b/follow-recommendations-service/thrift/src/main/thrift/tracking.thrift new file mode 100644 index 000000000..81111ead8 --- /dev/null +++ b/follow-recommendations-service/thrift/src/main/thrift/tracking.thrift @@ -0,0 +1,17 @@ +namespace java com.twitter.follow_recommendations.thriftjava +#@namespace scala com.twitter.follow_recommendations.thriftscala +#@namespace strato com.twitter.follow_recommendations + +include "com/twitter/suggests/controller_data/controller_data.thrift" +include "display_location.thrift" + +// struct used for tracking/attribution purposes in our offline pipelines +struct TrackingToken { + // trace-id of the request + 1: required i64 sessionId (personalDataType='SessionId') + 2: optional display_location.DisplayLocation displayLocation + // 64-bit encoded binary attributes of our recommendation + 3: optional controller_data.ControllerData controllerData + // WTF Algorithm Id (backward compatibility) + 4: optional i32 algoId +}(hasPersonalData='true') diff --git a/graph-feature-service/BUILD.bazel b/graph-feature-service/BUILD.bazel new file mode 100644 index 000000000..afad5ce5d --- /dev/null +++ b/graph-feature-service/BUILD.bazel @@ -0,0 +1,67 @@ +alias( + name = "graph_feature_service-server", + target = ":graph_feature_service-server_lib", +) + +target( + name = "graph_feature_service-server_lib", + dependencies = [ + "graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server", + ], +) + +alias( + name = "graph_feature_service-worker", + target = ":graph_feature_service-worker_lib", +) + +target( + name = "graph_feature_service-worker_lib", + dependencies = [ + "graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker", + ], +) + +jvm_binary( + name = "server-bin", + basename = "graph_feature_service-server", + main = "com.twitter.graph_feature_service.server.Main", + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + ":graph_feature_service-server", + "3rdparty/jvm/ch/qos/logback:logback-classic", + "finagle/finagle-zipkin-scribe/src/main/scala", + "loglens/loglens-logback/src/main/scala/com/twitter/loglens/logback", + "twitter-server/logback-classic/src/main/scala", + ], +) + +jvm_binary( + name = "worker-bin", + basename = "graph_feature_service-worker", + main = "com.twitter.graph_feature_service.worker.Main", + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + ":graph_feature_service-worker", + "3rdparty/jvm/ch/qos/logback:logback-classic", + "finagle/finagle-zipkin-scribe/src/main/scala", + "loglens/loglens-logback/src/main/scala/com/twitter/loglens/logback", + "twitter-server/logback-classic/src/main/scala", + ], +) + +jvm_app( + name = "server-bundle", + basename = "graph_feature_service-server-dist", + binary = ":server-bin", + tags = ["bazel-compatible"], +) + +jvm_app( + name = "worker-bundle", + basename = "graph_feature_service-worker-dist", + binary = ":worker-bin", + tags = ["bazel-compatible"], +) diff --git a/graph-feature-service/README.md b/graph-feature-service/README.md new file mode 100644 index 000000000..8305988b6 --- /dev/null +++ b/graph-feature-service/README.md @@ -0,0 +1,3 @@ +# Graph Feature Service + +Graph Feature Service (GFS) is a distributed system that can provide various graph features for given pairs of users. For instance, given source user A and candidate user C, GFS can answer questions like “how many of A’s followings have favorited C”, “how many of A’s followings are following C”, and “how much C is similar to the users that A has favorited“. \ No newline at end of file diff --git a/graph-feature-service/doc/common.md b/graph-feature-service/doc/common.md new file mode 100644 index 000000000..70d293c84 --- /dev/null +++ b/graph-feature-service/doc/common.md @@ -0,0 +1,62 @@ +# Common thrift types + +GFS uses several thrift datastructures which are common to multiple queries. They are listed below. + +## EdgeType + +`EdgeType` is a thrift enum which specifies which edge types to query for the graph. + +```thrift +enum EdgeType { + FOLLOWING, + FOLLOWED_BY, + FAVORITE, + FAVORITED_BY, + RETWEET, + RETWEETED_BY, + REPLY, + REPLYED_BY, + MENTION, + MENTIONED_BY, + MUTUAL_FOLLOW, + SIMILAR_TO, // more edge types (like block, report, etc.) can be supported later. + RESERVED_12, + RESERVED_13, + RESERVED_14, + RESERVED_15, + RESERVED_16, + RESERVED_17, + RESERVED_18, + RESERVED_19, + RESERVED_20 +} +``` + +For an example of how this is used, consider the `GetNeighbors` query. If we set the `edgeType` field +of the `GfsNeighborsRequest`, the response will contain all the users that the specified user follows. +If, on the other hand, we set `edgeType` to be `FollowedBy` it will return all the users who are +followed by the specified user. + +## FeatureType + +`FeatureType` is a thrift struct which is used in queries which require two edge types. + +```thrift +struct FeatureType { + 1: required EdgeType leftEdgeType // edge type from source user + 2: required EdgeType rightEdgeType // edge type from candidate user +}(persisted="true") +``` + +## UserWithScore + +The candidate generation queries return lists of candidates together with a computed score for the +relevant feature. `UserWithScore` is a thrift struct which bundles together a candidate's ID with +the score. + +```thrift +struct UserWithScore { + 1: required i64 userId + 2: required double score +} +``` diff --git a/graph-feature-service/doc/getintersection.md b/graph-feature-service/doc/getintersection.md new file mode 100644 index 000000000..6053729bb --- /dev/null +++ b/graph-feature-service/doc/getintersection.md @@ -0,0 +1,43 @@ +# GetIntersection + +## Request and response syntax + +A `GetIntersection` call takes as input a `GfsIntersectionRequest` thrift struct. + +```thrift +struct GfsIntersectionRequest { + 1: required i64 userId + 2: required list candidateUserIds + 3: required list featureTypes +} +``` + +The response is returned in a `GfsIntersectionResponse` thrift struct. + +```thrift +struct GfsIntersectionResponse { + 1: required i64 userId + 2: required list results +} + +struct GfsIntersectionResult { + 1: required i64 candidateUserId + 2: required list intersectionValues +} + +struct IntersectionValue { + 1: required FeatureType featureType + 2: optional i32 count + 3: optional list intersectionIds + 4: optional i32 leftNodeDegree + 5: optional i32 rightNodeDegree +}(persisted="true") +``` + +## Behavior + +The `GfsIntersectionResponse` contains in its `results` field a `GfsIntersectionResult` for every candidate in `candidateIds` which contains an `IntersectionValue` for every `FeatureType` in the request's `featureTypes` field. + +The `IntersectionValue` contains the size of the intersection between the `leftEdgeType` edges from `userId` and the `rightEdgeType` edges from `candidateId` in the `count` field, as well as their respective degrees in the graphs in `leftNodeDegree` and `rightNodeDegree` respectively. + +**Note:** the `intersectionIds` field currently only contains `Nil`. diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common/BUILD.bazel b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common/BUILD.bazel new file mode 100644 index 000000000..e6b2e92be --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common/BUILD.bazel @@ -0,0 +1,8 @@ +scala_library( + platform = "java8", + tags = [ + "bazel-compatible", + "bazel-only", + ], + dependencies = ["src/scala/com/twitter/storehaus_internal/util"], +) diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common/Configs.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common/Configs.scala new file mode 100644 index 000000000..20647d68c --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common/Configs.scala @@ -0,0 +1,73 @@ +package com.twitter.graph_feature_service.common + +import com.twitter.conversions.DurationOps._ +import com.twitter.util.Duration +import com.twitter.util.Time +import java.nio.ByteBuffer +import scala.util.hashing.MurmurHash3 + +object Configs { + + // NOTE: notify #recos-platform slack room, if you want to change this. + // This SHOULD be updated together with NUM_SHARDS in worker.aurora + final val NumGraphShards: Int = 40 + + final val TopKRealGraph: Int = 512 + + final val BaseHdfsPath: String = "/user/cassowary/processed/gfs/constant_db/" + + // whether or not to write in_value and out_value graphs. Used in the scalding job. + final val EnableValueGraphs: Boolean = true + // whether or not to write in_key and out_key graphs. Used in the scalding job. + final val EnableKeyGraphs: Boolean = false + + final val FollowOutValPath: String = "follow_out_val/" + final val FollowOutKeyPath: String = "follow_out_key/" + final val FollowInValPath: String = "follow_in_val/" + final val FollowInKeyPath: String = "follow_in_key/" + + final val MutualFollowValPath: String = "mutual_follow_val/" + final val MutualFollowKeyPath: String = "mutual_follow_key/" + + final val FavoriteOutValPath: String = "favorite_out_val/" + final val FavoriteInValPath: String = "favorite_in_val/" + final val FavoriteOutKeyPath: String = "favorite_out_key/" + final val FavoriteInKeyPath: String = "favorite_in_key/" + + final val RetweetOutValPath: String = "retweet_out_val/" + final val RetweetInValPath: String = "retweet_in_val/" + final val RetweetOutKeyPath: String = "retweet_out_key/" + final val RetweetInKeyPath: String = "retweet_in_key/" + + final val MentionOutValPath: String = "mention_out_val/" + final val MentionInValPath: String = "mention_in_val/" + final val MentionOutKeyPath: String = "mention_out_key/" + final val MentionInKeyPath: String = "mention_in_key/" + + final val MemCacheTTL: Duration = 8.hours + + final val RandomSeed: Int = 39582942 + + def getTimedHdfsShardPath(shardId: Int, path: String, time: Time): String = { + val timeStr = time.format("yyyy/MM/dd") + s"$path/$timeStr/shard_$shardId" + } + + def getHdfsPath(path: String, overrideBaseHdfsPath: Option[String] = None): String = { + val basePath = overrideBaseHdfsPath.getOrElse(BaseHdfsPath) + s"$basePath$path" + } + + private def hash(kArr: Array[Byte], seed: Int): Int = { + MurmurHash3.bytesHash(kArr, seed) & 0x7fffffff // keep positive + } + + private def hashLong(l: Long, seed: Int): Int = { + hash(ByteBuffer.allocate(8).putLong(l).array(), seed) + } + + def shardForUser(userId: Long): Int = { + hashLong(userId, RandomSeed) % NumGraphShards + } + +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/BUILD.bazel b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/BUILD.bazel new file mode 100644 index 000000000..c20a5e04c --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/BUILD.bazel @@ -0,0 +1,35 @@ +scala_library( + sources = ["**/*.scala"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/lz4:lz4-java", + "3rdparty/jvm/org/slf4j:slf4j-api", + "discovery-common/src/main/scala/com/twitter/discovery/common/stats", + "finagle/finagle-http/src/main/scala", + "finatra-internal/decider/src/main/scala", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-server/src/main/scala", + "finatra/inject/inject-thrift-client/src/main/scala", + "finatra/inject/inject-utils/src/main/scala", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift:controller", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/filters", + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift/routing", + "graph-feature-service/src/main/resources", + "graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common", + "graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util", + "graph-feature-service/src/main/thrift/com/twitter/graph_feature_service:graph_feature_service_thrift-scala", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/store/common", + "servo/request/src/main/scala", + "src/scala/com/twitter/storehaus_internal/memcache", + "util/util-app/src/main/scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/Main.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/Main.scala new file mode 100644 index 000000000..5980afdf2 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/Main.scala @@ -0,0 +1,56 @@ +package com.twitter.graph_feature_service.server + +import com.google.inject.Module +import com.twitter.finatra.decider.modules.DeciderModule +import com.twitter.finatra.mtls.thriftmux.Mtls +import com.twitter.finatra.thrift.ThriftServer +import com.twitter.finatra.thrift.filters.{ + AccessLoggingFilter, + LoggingMDCFilter, + StatsFilter, + ThriftMDCFilter, + TraceIdMDCFilter +} +import com.twitter.finatra.mtls.thriftmux.modules.MtlsThriftWebFormsModule +import com.twitter.finatra.thrift.routing.ThriftRouter +import com.twitter.graph_feature_service.server.controllers.ServerController +import com.twitter.graph_feature_service.server.handlers.ServerWarmupHandler +import com.twitter.graph_feature_service.server.modules.{ + GetIntersectionStoreModule, + GraphFeatureServiceWorkerClientsModule, + ServerFlagsModule +} +import com.twitter.graph_feature_service.thriftscala +import com.twitter.inject.thrift.modules.ThriftClientIdModule + +object Main extends ServerMain + +class ServerMain extends ThriftServer with Mtls { + + override val name = "graph_feature_service-server" + + override val modules: Seq[Module] = { + Seq( + ServerFlagsModule, + DeciderModule, + ThriftClientIdModule, + GraphFeatureServiceWorkerClientsModule, + GetIntersectionStoreModule, + new MtlsThriftWebFormsModule[thriftscala.Server.MethodPerEndpoint](this) + ) + } + + override def configureThrift(router: ThriftRouter): Unit = { + router + .filter[LoggingMDCFilter] + .filter[TraceIdMDCFilter] + .filter[ThriftMDCFilter] + .filter[AccessLoggingFilter] + .filter[StatsFilter] + .add[ServerController] + } + + override protected def warmup(): Unit = { + handle[ServerWarmupHandler]() + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/controllers/ServerController.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/controllers/ServerController.scala new file mode 100644 index 000000000..dcf663316 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/controllers/ServerController.scala @@ -0,0 +1,46 @@ +package com.twitter.graph_feature_service.server.controllers + +import com.twitter.discovery.common.stats.DiscoveryStatsFilter +import com.twitter.finagle.Service +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.thrift.Controller +import com.twitter.graph_feature_service.server.handlers.ServerGetIntersectionHandler.GetIntersectionRequest +import com.twitter.graph_feature_service.server.handlers.ServerGetIntersectionHandler +import com.twitter.graph_feature_service.thriftscala +import com.twitter.graph_feature_service.thriftscala.Server.GetIntersection +import com.twitter.graph_feature_service.thriftscala.Server.GetPresetIntersection +import com.twitter.graph_feature_service.thriftscala._ +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ServerController @Inject() ( + serverGetIntersectionHandler: ServerGetIntersectionHandler +)( + implicit statsReceiver: StatsReceiver) + extends Controller(thriftscala.Server) { + + private val getIntersectionService: Service[GetIntersectionRequest, GfsIntersectionResponse] = + new DiscoveryStatsFilter(statsReceiver.scope("srv").scope("get_intersection")) + .andThen(Service.mk(serverGetIntersectionHandler)) + + val getIntersection: Service[GetIntersection.Args, GfsIntersectionResponse] = { args => + // TODO(yqian): Disable updateCache after HTL switch to use PresetIntersection endpoint. + getIntersectionService( + GetIntersectionRequest.fromGfsIntersectionRequest(args.request, cacheable = true)) + } + handle(GetIntersection) { getIntersection } + + def getPresetIntersection: Service[ + GetPresetIntersection.Args, + GfsIntersectionResponse + ] = { args => + // TODO(yqian): Refactor after HTL switch to PresetIntersection + val cacheable = args.request.presetFeatureTypes == PresetFeatureTypes.HtlTwoHop + getIntersectionService( + GetIntersectionRequest.fromGfsPresetIntersectionRequest(args.request, cacheable)) + } + + handle(GetPresetIntersection) { getPresetIntersection } + +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/handlers/ServerGetIntersectionHandler.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/handlers/ServerGetIntersectionHandler.scala new file mode 100644 index 000000000..437fb8e6d --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/handlers/ServerGetIntersectionHandler.scala @@ -0,0 +1,198 @@ +package com.twitter.graph_feature_service.server.handlers + +import com.twitter.finagle.stats.Stat +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.graph_feature_service.server.handlers.ServerGetIntersectionHandler.GetIntersectionRequest +import com.twitter.graph_feature_service.server.stores.FeatureTypesEncoder +import com.twitter.graph_feature_service.server.stores.GetIntersectionStore.GetIntersectionQuery +import com.twitter.graph_feature_service.thriftscala.PresetFeatureTypes +import com.twitter.graph_feature_service.thriftscala._ +import com.twitter.graph_feature_service.util.FeatureTypesCalculator +import com.twitter.servo.request.RequestHandler +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import com.twitter.util.Memoize +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class ServerGetIntersectionHandler @Inject() ( + @Named("ReadThroughGetIntersectionStore") + readThroughStore: ReadableStore[GetIntersectionQuery, CachedIntersectionResult], + @Named("BypassCacheGetIntersectionStore") + readOnlyStore: ReadableStore[GetIntersectionQuery, CachedIntersectionResult] +)( + implicit statsReceiver: StatsReceiver) + extends RequestHandler[GetIntersectionRequest, GfsIntersectionResponse] { + + import ServerGetIntersectionHandler._ + + // TODO(yqian): Track all the stats based on PresetFeatureType and update the dashboard + private val stats: StatsReceiver = statsReceiver.scope("srv").scope("get_intersection") + private val numCandidatesCount = stats.counter("total_num_candidates") + private val numCandidatesStat = stats.stat("num_candidates") + private val numFeaturesStat = stats.stat("num_features") + private val userEmptyCount = stats.counter("user_empty_count") + private val candidateEmptyRateStat = stats.stat("candidate_empty_rate") + private val candidateNumEmptyStat = stats.stat("candidate_num_empty") + private val missedRateStat = stats.stat("miss_rate") + private val numMissedStat = stats.stat("num_missed") + + // Assume the order from HTL doesn't change. Only log the HTL query now. + private val featureStatMap = FeatureTypesCalculator.presetFeatureTypes.map { feature => + val featureString = s"${feature.leftEdgeType.name}_${feature.rightEdgeType.name}" + feature -> Array( + stats.counter(s"feature_type_${featureString}_total"), + stats.counter(s"feature_type_${featureString}_count_zero"), + stats.counter(s"feature_type_${featureString}_left_zero"), + stats.counter(s"feature_type_${featureString}_right_zero") + ) + }.toMap + + private val sourceCandidateNumStats = Memoize[PresetFeatureTypes, Stat] { presetFeature => + stats.stat(s"source_candidate_num_${presetFeature.name}") + } + + override def apply(request: GetIntersectionRequest): Future[GfsIntersectionResponse] = { + val featureTypes = request.calculatedFeatureTypes + val numCandidates = request.candidateUserIds.length + val numFeatures = featureTypes.length + + numCandidatesCount.incr(numCandidates) + numCandidatesStat.add(numCandidates) + numFeaturesStat.add(numFeatures) + sourceCandidateNumStats(request.presetFeatureTypes).add(numCandidates) + + // Note: do not change the orders of features and candidates. + val candidateIds = request.candidateUserIds + + if (featureTypes.isEmpty || candidateIds.isEmpty) { + Future.value(DefaultGfsIntersectionResponse) + } else { + Future + .collect { + val getIntersectionStore = if (request.cacheable) readThroughStore else readOnlyStore + getIntersectionStore.multiGet(GetIntersectionQuery.buildQueries(request)) + }.map { responses => + val results = responses.collect { + case (query, Some(result)) => + query.candidateId -> GfsIntersectionResult( + query.candidateId, + query.calculatedFeatureTypes.zip(result.values).map { + case (featureType, value) => + IntersectionValue( + featureType, + Some(value.count), + if (value.intersectionIds.isEmpty) None else Some(value.intersectionIds), + Some(value.leftNodeDegree), + Some(value.rightNodeDegree) + ) + } + ) + } + + // Keep the response order same as input + val processedResults = candidateIds.map { candidateId => + results.getOrElse(candidateId, GfsIntersectionResult(candidateId, List.empty)) + } + + val candidateEmptyNum = + processedResults.count( + _.intersectionValues.exists(value => isZero(value.rightNodeDegree))) + + val numMissed = processedResults.count(_.intersectionValues.size != numFeatures) + + if (processedResults.exists( + _.intersectionValues.forall(value => isZero(value.leftNodeDegree)))) { + userEmptyCount.incr() + } + + candidateNumEmptyStat.add(candidateEmptyNum) + candidateEmptyRateStat.add(candidateEmptyNum.toFloat / numCandidates) + numMissedStat.add(numMissed) + missedRateStat.add(numMissed.toFloat / numCandidates) + + processedResults.foreach { result => + result.intersectionValues.zip(featureTypes).foreach { + case (value, featureType) => + featureStatMap.get(featureType).foreach { statsArray => + statsArray(TotalIndex).incr() + if (isZero(value.count)) { + statsArray(CountIndex).incr() + } + if (isZero(value.leftNodeDegree)) { + statsArray(LeftIndex).incr() + } + if (isZero(value.rightNodeDegree)) { + statsArray(RightIndex).incr() + } + } + } + } + + GfsIntersectionResponse(processedResults) + } + } + + } + +} + +private[graph_feature_service] object ServerGetIntersectionHandler { + + case class GetIntersectionRequest( + userId: Long, + candidateUserIds: Seq[Long], + featureTypes: Seq[FeatureType], + presetFeatureTypes: PresetFeatureTypes, + intersectionIdLimit: Option[Int], + cacheable: Boolean) { + + lazy val calculatedFeatureTypes: Seq[FeatureType] = + FeatureTypesCalculator.getFeatureTypes(presetFeatureTypes, featureTypes) + + lazy val calculatedFeatureTypesString: String = + FeatureTypesEncoder(calculatedFeatureTypes) + } + + object GetIntersectionRequest { + + def fromGfsIntersectionRequest( + request: GfsIntersectionRequest, + cacheable: Boolean + ): GetIntersectionRequest = { + GetIntersectionRequest( + request.userId, + request.candidateUserIds, + request.featureTypes, + PresetFeatureTypes.Empty, + request.intersectionIdLimit, + cacheable) + } + + def fromGfsPresetIntersectionRequest( + request: GfsPresetIntersectionRequest, + cacheable: Boolean + ): GetIntersectionRequest = { + GetIntersectionRequest( + request.userId, + request.candidateUserIds, + List.empty, + request.presetFeatureTypes, + request.intersectionIdLimit, + cacheable) + } + } + + private val DefaultGfsIntersectionResponse = GfsIntersectionResponse() + + private val TotalIndex = 0 + private val CountIndex = 1 + private val LeftIndex = 2 + private val RightIndex = 3 + + def isZero(opt: Option[Int]): Boolean = { + !opt.exists(_ != 0) + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/handlers/ServerWarmupHandler.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/handlers/ServerWarmupHandler.scala new file mode 100644 index 000000000..bfa195e60 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/handlers/ServerWarmupHandler.scala @@ -0,0 +1,47 @@ +package com.twitter.graph_feature_service.server.handlers + +import com.twitter.finatra.thrift.routing.ThriftWarmup +import com.twitter.graph_feature_service.thriftscala.EdgeType.{FavoritedBy, FollowedBy, Following} +import com.twitter.graph_feature_service.thriftscala.Server.GetIntersection +import com.twitter.graph_feature_service.thriftscala.{FeatureType, GfsIntersectionRequest} +import com.twitter.inject.utils.Handler +import com.twitter.scrooge.Request +import com.twitter.util.logging.Logger +import javax.inject.{Inject, Singleton} +import scala.util.Random + +@Singleton +class ServerWarmupHandler @Inject() (warmup: ThriftWarmup) extends Handler { + + val logger: Logger = Logger("WarmupHandler") + + private val testingAccounts: Array[Long] = { + Seq( + 12L, //jack + 21447363L, // KATY PERRY + 42562446L, // Stephen Curry + 813286L // Barack Obama + ).toArray + } + + private def getRandomRequest: GfsIntersectionRequest = { + GfsIntersectionRequest( + testingAccounts(Random.nextInt(testingAccounts.length)), + testingAccounts, + Seq(FeatureType(Following, FollowedBy), FeatureType(Following, FavoritedBy)) + ) + } + + override def handle(): Unit = { + warmup.sendRequest( + GetIntersection, + Request( + GetIntersection.Args( + getRandomRequest + )), + 10 + )() + + logger.info("Warmup Done!") + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/GetIntersectionStoreModule.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/GetIntersectionStoreModule.scala new file mode 100644 index 000000000..cae99b3a6 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/GetIntersectionStoreModule.scala @@ -0,0 +1,91 @@ +package com.twitter.graph_feature_service.server.modules + +import com.google.inject.Provides +import com.twitter.bijection.scrooge.CompactScalaCodec +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.graph_feature_service.common.Configs._ +import com.twitter.graph_feature_service.server.stores.GetIntersectionStore +import com.twitter.graph_feature_service.server.stores.GetIntersectionStore.GetIntersectionQuery +import com.twitter.graph_feature_service.thriftscala.CachedIntersectionResult +import com.twitter.hermit.store.common.ObservedMemcachedReadableStore +import com.twitter.inject.TwitterModule +import com.twitter.inject.annotations.Flag +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.memcache.MemcacheStore +import com.twitter.storehaus_internal.util.{ClientName, ZkEndPoint} +import com.twitter.util.Duration +import javax.inject.{Named, Singleton} + +/** + * Initialize the MemCache based GetIntersectionStore. + * The Key of MemCache is UserId~CandidateId~FeatureTypes~IntersectionIdLimit. + */ +object GetIntersectionStoreModule extends TwitterModule { + + private[this] val requestTimeout: Duration = 25.millis + private[this] val retries: Int = 0 + + @Provides + @Named("ReadThroughGetIntersectionStore") + @Singleton + def provideReadThroughGetIntersectionStore( + graphFeatureServiceWorkerClients: GraphFeatureServiceWorkerClients, + serviceIdentifier: ServiceIdentifier, + @Flag(ServerFlagNames.MemCacheClientName) memCacheName: String, + @Flag(ServerFlagNames.MemCachePath) memCachePath: String + )( + implicit statsReceiver: StatsReceiver + ): ReadableStore[GetIntersectionQuery, CachedIntersectionResult] = { + buildMemcacheStore( + graphFeatureServiceWorkerClients, + memCacheName, + memCachePath, + serviceIdentifier) + } + + @Provides + @Named("BypassCacheGetIntersectionStore") + @Singleton + def provideReadOnlyGetIntersectionStore( + graphFeatureServiceWorkerClients: GraphFeatureServiceWorkerClients, + )( + implicit statsReceiver: StatsReceiver + ): ReadableStore[GetIntersectionQuery, CachedIntersectionResult] = { + // Bypass the Memcache. + GetIntersectionStore(graphFeatureServiceWorkerClients, statsReceiver) + } + + private[this] def buildMemcacheStore( + graphFeatureServiceWorkerClients: GraphFeatureServiceWorkerClients, + memCacheName: String, + memCachePath: String, + serviceIdentifier: ServiceIdentifier, + )( + implicit statsReceiver: StatsReceiver + ): ReadableStore[GetIntersectionQuery, CachedIntersectionResult] = { + val backingStore = GetIntersectionStore(graphFeatureServiceWorkerClients, statsReceiver) + + val cacheClient = MemcacheStore.memcachedClient( + name = ClientName(memCacheName), + dest = ZkEndPoint(memCachePath), + timeout = requestTimeout, + retries = retries, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver + ) + + ObservedMemcachedReadableStore.fromCacheClient[GetIntersectionQuery, CachedIntersectionResult]( + backingStore = backingStore, + cacheClient = cacheClient, + ttl = MemCacheTTL + )( + valueInjection = LZ4Injection.compose(CompactScalaCodec(CachedIntersectionResult)), + statsReceiver = statsReceiver.scope("mem_cache"), + keyToString = { key => + s"L~${key.userId}~${key.candidateId}~${key.featureTypesString}~${key.intersectionIdLimit}" + } + ) + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/GraphFeatureServiceWorkerClientsModule.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/GraphFeatureServiceWorkerClientsModule.scala new file mode 100644 index 000000000..a6f56827e --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/GraphFeatureServiceWorkerClientsModule.scala @@ -0,0 +1,51 @@ +package com.twitter.graph_feature_service.server.modules + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient._ +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.service.RetryBudget +import com.twitter.graph_feature_service.thriftscala +import com.twitter.inject.TwitterModule +import com.twitter.inject.annotations.Flag +import com.twitter.util.{Await, Duration} +import javax.inject.Singleton + +case class GraphFeatureServiceWorkerClients( + workers: Seq[thriftscala.Worker.MethodPerEndpoint]) + +object GraphFeatureServiceWorkerClientsModule extends TwitterModule { + private[this] val closeableGracePeriod: Duration = 1.second + private[this] val requestTimeout: Duration = 25.millis + + @Provides + @Singleton + def provideGraphFeatureServiceWorkerClient( + @Flag(ServerFlagNames.NumWorkers) numWorkers: Int, + @Flag(ServerFlagNames.ServiceRole) serviceRole: String, + @Flag(ServerFlagNames.ServiceEnv) serviceEnv: String, + serviceIdentifier: ServiceIdentifier + ): GraphFeatureServiceWorkerClients = { + + val workers: Seq[thriftscala.Worker.MethodPerEndpoint] = + (0 until numWorkers).map { id => + val dest = s"/srv#/$serviceEnv/local/$serviceRole/graph_feature_service-worker-$id" + + val client = ThriftMux.client + .withRequestTimeout(requestTimeout) + .withRetryBudget(RetryBudget.Empty) + .withMutualTls(serviceIdentifier) + .build[thriftscala.Worker.MethodPerEndpoint](dest, s"worker-$id") + + onExit { + val closeable = client.asClosable + Await.result(closeable.close(closeableGracePeriod), closeableGracePeriod) + } + + client + } + + GraphFeatureServiceWorkerClients(workers) + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/LZ4Injection.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/LZ4Injection.scala new file mode 100644 index 000000000..3018dcd9c --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/LZ4Injection.scala @@ -0,0 +1,17 @@ +package com.twitter.graph_feature_service.server.modules + +import com.twitter.bijection.Injection +import scala.util.Try +import net.jpountz.lz4.{LZ4CompressorWithLength, LZ4DecompressorWithLength, LZ4Factory} + +object LZ4Injection extends Injection[Array[Byte], Array[Byte]] { + private val lz4Factory = LZ4Factory.fastestInstance() + private val fastCompressor = new LZ4CompressorWithLength(lz4Factory.fastCompressor()) + private val decompressor = new LZ4DecompressorWithLength(lz4Factory.fastDecompressor()) + + override def apply(a: Array[Byte]): Array[Byte] = LZ4Injection.fastCompressor.compress(a) + + override def invert(b: Array[Byte]): Try[Array[Byte]] = Try { + LZ4Injection.decompressor.decompress(b) + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/ServerFlagModule.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/ServerFlagModule.scala new file mode 100644 index 000000000..d38bfb24a --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/modules/ServerFlagModule.scala @@ -0,0 +1,31 @@ +package com.twitter.graph_feature_service.server.modules + +import com.twitter.inject.TwitterModule + +object ServerFlagNames { + final val NumWorkers = "service.num_workers" + final val ServiceRole = "service.role" + final val ServiceEnv = "service.env" + + final val MemCacheClientName = "service.mem_cache_client_name" + final val MemCachePath = "service.mem_cache_path" +} + +/** + * Initializes references to the flag values defined in the aurora.deploy file. + * To check what the flag values are initialized in runtime, search FlagsModule in stdout + */ +object ServerFlagsModule extends TwitterModule { + + import ServerFlagNames._ + + flag[Int](NumWorkers, "Num of workers") + + flag[String](ServiceRole, "Service Role") + + flag[String](ServiceEnv, "Service Env") + + flag[String](MemCacheClientName, "MemCache Client Name") + + flag[String](MemCachePath, "MemCache Path") +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/stores/FeatureTypesEncoder.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/stores/FeatureTypesEncoder.scala new file mode 100644 index 000000000..b8ad4d743 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/stores/FeatureTypesEncoder.scala @@ -0,0 +1,16 @@ +package com.twitter.graph_feature_service.server.stores + +import com.twitter.graph_feature_service.common.Configs.RandomSeed +import com.twitter.graph_feature_service.thriftscala.FeatureType +import scala.util.hashing.MurmurHash3 + +object FeatureTypesEncoder { + + def apply(featureTypes: Seq[FeatureType]): String = { + val byteArray = featureTypes.flatMap { featureType => + Array(featureType.leftEdgeType.getValue.toByte, featureType.rightEdgeType.getValue.toByte) + }.toArray + (MurmurHash3.bytesHash(byteArray, RandomSeed) & 0x7fffffff).toString // keep positive + } + +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/stores/GetIntersectionStore.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/stores/GetIntersectionStore.scala new file mode 100644 index 000000000..7824be511 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/server/stores/GetIntersectionStore.scala @@ -0,0 +1,181 @@ +package com.twitter.graph_feature_service.server.stores + +import com.twitter.finagle.RequestTimeoutException +import com.twitter.finagle.stats.{Stat, StatsReceiver} +import com.twitter.graph_feature_service.server.handlers.ServerGetIntersectionHandler.GetIntersectionRequest +import com.twitter.graph_feature_service.server.modules.GraphFeatureServiceWorkerClients +import com.twitter.graph_feature_service.server.stores.GetIntersectionStore.GetIntersectionQuery +import com.twitter.graph_feature_service.thriftscala._ +import com.twitter.inject.Logging +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import javax.inject.Singleton +import scala.collection.mutable.ArrayBuffer + +@Singleton +case class GetIntersectionStore( + graphFeatureServiceWorkerClients: GraphFeatureServiceWorkerClients, + statsReceiver: StatsReceiver) + extends ReadableStore[GetIntersectionQuery, CachedIntersectionResult] + with Logging { + + import GetIntersectionStore._ + + private val stats = statsReceiver.scope("get_intersection_store") + private val requestCount = stats.counter(name = "request_count") + private val aggregatorLatency = stats.stat("aggregator_latency") + private val timeOutCounter = stats.counter("worker_timeouts") + private val unknownErrorCounter = stats.counter("unknown_errors") + + override def multiGet[K1 <: GetIntersectionQuery]( + ks: Set[K1] + ): Map[K1, Future[Option[CachedIntersectionResult]]] = { + if (ks.isEmpty) { + Map.empty + } else { + requestCount.incr() + + val head = ks.head + // We assume all the GetIntersectionQuery use the same userId and featureTypes + val userId = head.userId + val featureTypes = head.featureTypes + val presetFeatureTypes = head.presetFeatureTypes + val calculatedFeatureTypes = head.calculatedFeatureTypes + val intersectionIdLimit = head.intersectionIdLimit + + val request = WorkerIntersectionRequest( + userId, + ks.map(_.candidateId).toArray, + featureTypes, + presetFeatureTypes, + intersectionIdLimit + ) + + val resultFuture = Future + .collect( + graphFeatureServiceWorkerClients.workers.map { worker => + worker + .getIntersection(request) + .rescue { + case _: RequestTimeoutException => + timeOutCounter.incr() + Future.value(DefaultWorkerIntersectionResponse) + case e => + unknownErrorCounter.incr() + logger.error("Failure to load result.", e) + Future.value(DefaultWorkerIntersectionResponse) + } + } + ).map { responses => + Stat.time(aggregatorLatency) { + gfsIntersectionResponseAggregator( + responses, + calculatedFeatureTypes, + request.candidateUserIds, + intersectionIdLimit + ) + } + } + + ks.map { query => + query -> resultFuture.map(_.get(query.candidateId)) + }.toMap + } + } + + /** + * Function to merge GfsIntersectionResponse from workers into one result. + */ + private def gfsIntersectionResponseAggregator( + responseList: Seq[WorkerIntersectionResponse], + features: Seq[FeatureType], + candidates: Seq[Long], + intersectionIdLimit: Int + ): Map[Long, CachedIntersectionResult] = { + + // Map of (candidate -> features -> type -> value) + val cube = Array.fill[Int](candidates.length, features.length, 3)(0) + // Map of (candidate -> features -> intersectionIds) + val ids = Array.fill[Option[ArrayBuffer[Long]]](candidates.length, features.length)(None) + val notZero = intersectionIdLimit != 0 + + for { + response <- responseList + (features, candidateIndex) <- response.results.zipWithIndex + (workerValue, featureIndex) <- features.zipWithIndex + } { + cube(candidateIndex)(featureIndex)(CountIndex) += workerValue.count + cube(candidateIndex)(featureIndex)(LeftDegreeIndex) += workerValue.leftNodeDegree + cube(candidateIndex)(featureIndex)(RightDegreeIndex) += workerValue.rightNodeDegree + + if (notZero && workerValue.intersectionIds.nonEmpty) { + val arrayBuffer = ids(candidateIndex)(featureIndex) match { + case Some(buffer) => buffer + case None => + val buffer = ArrayBuffer[Long]() + ids(candidateIndex)(featureIndex) = Some(buffer) + buffer + } + val intersectionIds = workerValue.intersectionIds + + // Scan the intersectionId based on the Shard. The response order is consistent. + if (arrayBuffer.size < intersectionIdLimit) { + if (intersectionIds.size > intersectionIdLimit - arrayBuffer.size) { + arrayBuffer ++= intersectionIds.slice(0, intersectionIdLimit - arrayBuffer.size) + } else { + arrayBuffer ++= intersectionIds + } + } + } + } + + candidates.zipWithIndex.map { + case (candidate, candidateIndex) => + candidate -> CachedIntersectionResult(features.indices.map { featureIndex => + WorkerIntersectionValue( + cube(candidateIndex)(featureIndex)(CountIndex), + cube(candidateIndex)(featureIndex)(LeftDegreeIndex), + cube(candidateIndex)(featureIndex)(RightDegreeIndex), + ids(candidateIndex)(featureIndex).getOrElse(Nil) + ) + }) + }.toMap + } + +} + +object GetIntersectionStore { + + private[graph_feature_service] case class GetIntersectionQuery( + userId: Long, + candidateId: Long, + featureTypes: Seq[FeatureType], + presetFeatureTypes: PresetFeatureTypes, + featureTypesString: String, + calculatedFeatureTypes: Seq[FeatureType], + intersectionIdLimit: Int) + + private[graph_feature_service] object GetIntersectionQuery { + def buildQueries(request: GetIntersectionRequest): Set[GetIntersectionQuery] = { + request.candidateUserIds.toSet.map { candidateId: Long => + GetIntersectionQuery( + request.userId, + candidateId, + request.featureTypes, + request.presetFeatureTypes, + request.calculatedFeatureTypesString, + request.calculatedFeatureTypes, + request.intersectionIdLimit.getOrElse(DefaultIntersectionIdLimit) + ) + } + } + } + + // Don't return the intersectionId for better performance + private val DefaultIntersectionIdLimit = 0 + private val DefaultWorkerIntersectionResponse = WorkerIntersectionResponse() + + private val CountIndex = 0 + private val LeftDegreeIndex = 1 + private val RightDegreeIndex = 2 +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/BUILD b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/BUILD new file mode 100644 index 000000000..7aa2bc51c --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/BUILD @@ -0,0 +1,7 @@ +scala_library( + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "graph-feature-service/src/main/thrift/com/twitter/graph_feature_service:graph_feature_service_thrift-scala", + ], +) diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/FeatureTypesCalculator.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/FeatureTypesCalculator.scala new file mode 100644 index 000000000..86caad2bf --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/FeatureTypesCalculator.scala @@ -0,0 +1,58 @@ +package com.twitter.graph_feature_service.util + +import com.twitter.graph_feature_service.thriftscala.EdgeType._ +import com.twitter.graph_feature_service.thriftscala.{FeatureType, PresetFeatureTypes} + +object FeatureTypesCalculator { + + final val DefaultTwoHop = Seq( + FeatureType(Following, FollowedBy), + FeatureType(Following, FavoritedBy), + FeatureType(Following, RetweetedBy), + FeatureType(Following, MentionedBy), + FeatureType(Following, MutualFollow), + FeatureType(Favorite, FollowedBy), + FeatureType(Favorite, FavoritedBy), + FeatureType(Favorite, RetweetedBy), + FeatureType(Favorite, MentionedBy), + FeatureType(Favorite, MutualFollow), + FeatureType(MutualFollow, FollowedBy), + FeatureType(MutualFollow, FavoritedBy), + FeatureType(MutualFollow, RetweetedBy), + FeatureType(MutualFollow, MentionedBy), + FeatureType(MutualFollow, MutualFollow) + ) + + final val SocialProofTwoHop = Seq(FeatureType(Following, FollowedBy)) + + final val HtlTwoHop = DefaultTwoHop + + final val WtfTwoHop = SocialProofTwoHop + + final val SqTwoHop = DefaultTwoHop + + final val RuxTwoHop = DefaultTwoHop + + final val MRTwoHop = DefaultTwoHop + + final val UserTypeaheadTwoHop = SocialProofTwoHop + + final val presetFeatureTypes = + (HtlTwoHop ++ WtfTwoHop ++ SqTwoHop ++ RuxTwoHop ++ MRTwoHop ++ UserTypeaheadTwoHop).toSet + + def getFeatureTypes( + presetFeatureTypes: PresetFeatureTypes, + featureTypes: Seq[FeatureType] + ): Seq[FeatureType] = { + presetFeatureTypes match { + case PresetFeatureTypes.HtlTwoHop => HtlTwoHop + case PresetFeatureTypes.WtfTwoHop => WtfTwoHop + case PresetFeatureTypes.SqTwoHop => SqTwoHop + case PresetFeatureTypes.RuxTwoHop => RuxTwoHop + case PresetFeatureTypes.MrTwoHop => MRTwoHop + case PresetFeatureTypes.UserTypeaheadTwoHop => UserTypeaheadTwoHop + case _ => featureTypes + } + } + +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/IntersectionValueCalculator.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/IntersectionValueCalculator.scala new file mode 100644 index 000000000..bc6698e7c --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util/IntersectionValueCalculator.scala @@ -0,0 +1,242 @@ +package com.twitter.graph_feature_service.util + +import com.twitter.graph_feature_service.thriftscala.{ + FeatureType, + IntersectionValue, + WorkerIntersectionValue +} +import java.nio.ByteBuffer +import scala.collection.mutable.ArrayBuffer + +/** + * Functions for computing feature values based on the values returned by constantDB. + */ +object IntersectionValueCalculator { + + /** + * Compute the size of the array in a ByteBuffer. + * Note that this function assumes the ByteBuffer is encoded using Injections.seqLong2ByteBuffer + */ + def computeArraySize(x: ByteBuffer): Int = { + x.remaining() >> 3 // divide 8 + } + + /** + * + */ + def apply(x: ByteBuffer, y: ByteBuffer, intersectionIdLimit: Int): WorkerIntersectionValue = { + + val xSize = computeArraySize(x) + val ySize = computeArraySize(y) + + val largerArray = if (xSize > ySize) x else y + val smallerArray = if (xSize > ySize) y else x + + if (intersectionIdLimit == 0) { + val result = computeIntersectionUsingBinarySearchOnLargerByteBuffer(smallerArray, largerArray) + WorkerIntersectionValue(result, xSize, ySize) + } else { + val (result, ids) = computeIntersectionWithIds(smallerArray, largerArray, intersectionIdLimit) + WorkerIntersectionValue(result, xSize, ySize, ids) + } + } + + /** + * Note that this function assumes the ByteBuffer is encoded using Injections.seqLong2ByteBuffer + * + */ + def computeIntersectionUsingBinarySearchOnLargerByteBuffer( + smallArray: ByteBuffer, + largeArray: ByteBuffer + ): Int = { + var res: Int = 0 + var i: Int = 0 + + while (i < smallArray.remaining()) { + if (binarySearch(largeArray, smallArray.getLong(i)) >= 0) { + res += 1 + } + i += 8 + } + res + } + + def computeIntersectionWithIds( + smallArray: ByteBuffer, + largeArray: ByteBuffer, + intersectionLimit: Int + ): (Int, Seq[Long]) = { + var res: Int = 0 + var i: Int = 0 + // Most of the intersectionLimit is smaller than default size: 16 + val idBuffer = ArrayBuffer[Long]() + + while (i < smallArray.remaining()) { + val value = smallArray.getLong(i) + if (binarySearch(largeArray, value) >= 0) { + res += 1 + // Always get the smaller ids + if (idBuffer.size < intersectionLimit) { + idBuffer += value + } + } + i += 8 + } + (res, idBuffer) + } + + /** + * Note that this function assumes the ByteBuffer is encoded using Injections.seqLong2ByteBuffer + * + */ + private[util] def binarySearch(arr: ByteBuffer, value: Long): Int = { + var start = 0 + var end = arr.remaining() + + while (start <= end && start < arr.remaining()) { + val mid = ((start + end) >> 1) & ~7 // take mid - mid % 8 + if (arr.getLong(mid) == value) { + return mid // return the index of the value + } else if (arr.getLong(mid) < value) { + start = mid + 8 + } else { + end = mid - 1 + } + } + // if not existed, return -1 + -1 + } + + /** + * TODO(yaow): for now it only computes intersection size. Will add more feature types (e.g., dot + * product, maximum value). + * + * NOTE that this function assumes both x and y are SORTED arrays. + * In graph feature service, the sorting is done in the offline Scalding job. + * + * @param x source user's array + * @param y candidate user's array + * @param featureType feature type + * @return + */ + def apply(x: Array[Long], y: Array[Long], featureType: FeatureType): IntersectionValue = { + + val xSize = x.length + val ySize = y.length + + val intersection = + if (xSize.min(ySize) * math.log(xSize.max(ySize)) < (xSize + ySize).toDouble) { + if (xSize < ySize) { + computeIntersectionUsingBinarySearchOnLargerArray(x, y) + } else { + computeIntersectionUsingBinarySearchOnLargerArray(y, x) + } + } else { + computeIntersectionUsingListMerging(x, y) + } + + IntersectionValue( + featureType, + Some(intersection.toInt), + None, // return None for now + Some(xSize), + Some(ySize) + ) + } + + /** + * Function for computing the intersections of two SORTED arrays by list merging. + * + * @param x one array + * @param y another array + * @param ordering ordering function for comparing values of T + * @tparam T type + * @return The intersection size and the list of intersected elements + */ + private[util] def computeIntersectionUsingListMerging[T]( + x: Array[T], + y: Array[T] + )( + implicit ordering: Ordering[T] + ): Int = { + + var res: Int = 0 + var i: Int = 0 + var j: Int = 0 + + while (i < x.length && j < y.length) { + val comp = ordering.compare(x(i), y(j)) + if (comp > 0) j += 1 + else if (comp < 0) i += 1 + else { + res += 1 + i += 1 + j += 1 + } + } + res + } + + /** + * Function for computing the intersections of two arrays by binary search on the larger array. + * Note that the larger array MUST be SORTED. + * + * @param smallArray smaller array + * @param largeArray larger array + * @param ordering ordering function for comparing values of T + * @tparam T type + * + * @return The intersection size and the list of intersected elements + */ + private[util] def computeIntersectionUsingBinarySearchOnLargerArray[T]( + smallArray: Array[T], + largeArray: Array[T] + )( + implicit ordering: Ordering[T] + ): Int = { + var res: Int = 0 + var i: Int = 0 + while (i < smallArray.length) { + val currentValue: T = smallArray(i) + if (binarySearch(largeArray, currentValue) >= 0) { + res += 1 + } + i += 1 + } + res + } + + /** + * Function for doing the binary search + * + * @param arr array + * @param value the target value for searching + * @param ordering ordering function + * @tparam T type + * @return the index of element in the larger array. + * If there is no such element in the array, return -1. + */ + private[util] def binarySearch[T]( + arr: Array[T], + value: T + )( + implicit ordering: Ordering[T] + ): Int = { + var start = 0 + var end = arr.length - 1 + + while (start <= end) { + val mid = (start + end) >> 1 + val comp = ordering.compare(arr(mid), value) + if (comp == 0) { + return mid // return the index of the value + } else if (comp < 0) { + start = mid + 1 + } else { + end = mid - 1 + } + } + // if not existed, return -1 + -1 + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/BUILD.bazel b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/BUILD.bazel new file mode 100644 index 000000000..7f0d975d7 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/BUILD.bazel @@ -0,0 +1,30 @@ +scala_library( + sources = ["**/*.scala"], + platform = "java8", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/jvm/net/codingwell:scala-guice", + "discovery-common/src/main/scala/com/twitter/discovery/common/stats", + "finatra-internal/decider/src/main/scala", + "finatra-internal/gizmoduck/src/main/scala", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-server/src/main/scala", + "finatra/inject/inject-thrift-client/src/main/scala", + "finatra/inject/inject-utils/src/main/scala", + "frigate/frigate-common:constdb_util", + "graph-feature-service/src/main/resources", + "graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common", + "graph-feature-service/src/main/scala/com/twitter/graph_feature_service/util", + "graph-feature-service/src/main/thrift/com/twitter/graph_feature_service:graph_feature_service_thrift-scala", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/store/common", + "servo/request/src/main/scala", + "twitter-server-internal/src/main/scala", + "twitter-server/server/src/main/scala", + "util/util-app/src/main/scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/Main.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/Main.scala new file mode 100644 index 000000000..10e8ec0e2 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/Main.scala @@ -0,0 +1,58 @@ +package com.twitter.graph_feature_service.worker + +import com.google.inject.Module +import com.twitter.finatra.decider.modules.DeciderModule +import com.twitter.finatra.gizmoduck.modules.TimerModule +import com.twitter.finatra.mtls.thriftmux.Mtls +import com.twitter.finatra.thrift.ThriftServer +import com.twitter.finatra.thrift.filters.{ + LoggingMDCFilter, + StatsFilter, + ThriftMDCFilter, + TraceIdMDCFilter +} +import com.twitter.finatra.mtls.thriftmux.modules.MtlsThriftWebFormsModule +import com.twitter.finatra.thrift.routing.ThriftRouter +import com.twitter.graph_feature_service.thriftscala +import com.twitter.graph_feature_service.worker.controllers.WorkerController +import com.twitter.graph_feature_service.worker.handlers.WorkerWarmupHandler +import com.twitter.graph_feature_service.worker.modules.{ + GraphContainerProviderModule, + WorkerFlagModule +} +import com.twitter.graph_feature_service.worker.util.GraphContainer +import com.twitter.inject.thrift.modules.ThriftClientIdModule +import com.twitter.util.Await + +object Main extends WorkerMain + +class WorkerMain extends ThriftServer with Mtls { + + override val name = "graph_feature_service-worker" + + override val modules: Seq[Module] = { + Seq( + WorkerFlagModule, + DeciderModule, + TimerModule, + ThriftClientIdModule, + GraphContainerProviderModule, + new MtlsThriftWebFormsModule[thriftscala.Worker.MethodPerEndpoint](this) + ) + } + + override def configureThrift(router: ThriftRouter): Unit = { + router + .filter[LoggingMDCFilter] + .filter[TraceIdMDCFilter] + .filter[ThriftMDCFilter] + .filter[StatsFilter] + .add[WorkerController] + } + + override protected def warmup(): Unit = { + val graphContainer = injector.instance[GraphContainer] + Await.result(graphContainer.warmup) + handle[WorkerWarmupHandler]() + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/controllers/WorkerController.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/controllers/WorkerController.scala new file mode 100644 index 000000000..f30305b2c --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/controllers/WorkerController.scala @@ -0,0 +1,38 @@ +package com.twitter.graph_feature_service.worker.controllers + +import com.twitter.discovery.common.stats.DiscoveryStatsFilter +import com.twitter.finagle.Service +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finatra.thrift.Controller +import com.twitter.graph_feature_service.thriftscala +import com.twitter.graph_feature_service.thriftscala.Worker.GetIntersection +import com.twitter.graph_feature_service.thriftscala._ +import com.twitter.graph_feature_service.worker.handlers._ +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class WorkerController @Inject() ( + workerGetIntersectionHandler: WorkerGetIntersectionHandler +)( + implicit statsReceiver: StatsReceiver) + extends Controller(thriftscala.Worker) { + + // use DiscoveryStatsFilter to filter out exceptions out of our control + private val getIntersectionService: Service[ + WorkerIntersectionRequest, + WorkerIntersectionResponse + ] = + new DiscoveryStatsFilter[WorkerIntersectionRequest, WorkerIntersectionResponse]( + statsReceiver.scope("srv").scope("get_intersection") + ).andThen(Service.mk(workerGetIntersectionHandler)) + + val getIntersection: Service[GetIntersection.Args, WorkerIntersectionResponse] = { args => + getIntersectionService(args.request).onFailure { throwable => + logger.error(s"Failure to get intersection for request $args.", throwable) + } + } + + handle(GetIntersection) { getIntersection } + +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/handlers/WorkerGetIntersectionHandler.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/handlers/WorkerGetIntersectionHandler.scala new file mode 100644 index 000000000..7acf8b1d3 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/handlers/WorkerGetIntersectionHandler.scala @@ -0,0 +1,105 @@ +package com.twitter.graph_feature_service.worker.handlers + +import com.twitter.finagle.stats.{Stat, StatsReceiver} +import com.twitter.graph_feature_service.thriftscala.{ + WorkerIntersectionRequest, + WorkerIntersectionResponse, + WorkerIntersectionValue +} +import com.twitter.graph_feature_service.util.{FeatureTypesCalculator, IntersectionValueCalculator} +import com.twitter.graph_feature_service.util.IntersectionValueCalculator._ +import com.twitter.graph_feature_service.worker.util.GraphContainer +import com.twitter.servo.request.RequestHandler +import com.twitter.util.Future +import java.nio.ByteBuffer +import javax.inject.{Inject, Singleton} + +@Singleton +class WorkerGetIntersectionHandler @Inject() ( + graphContainer: GraphContainer, + statsReceiver: StatsReceiver) + extends RequestHandler[WorkerIntersectionRequest, WorkerIntersectionResponse] { + + import WorkerGetIntersectionHandler._ + + private val stats: StatsReceiver = statsReceiver.scope("srv/get_intersection") + private val numCandidatesCount = stats.counter("total_num_candidates") + private val toPartialGraphQueryStat = stats.stat("to_partial_graph_query_latency") + private val fromPartialGraphQueryStat = stats.stat("from_partial_graph_query_latency") + private val intersectionCalculationStat = stats.stat("computation_latency") + + override def apply(request: WorkerIntersectionRequest): Future[WorkerIntersectionResponse] = { + + numCandidatesCount.incr(request.candidateUserIds.length) + + val userId = request.userId + + // NOTE: do not change the order of candidates + val candidateIds = request.candidateUserIds + + // NOTE: do not change the order of features + val featureTypes = + FeatureTypesCalculator.getFeatureTypes(request.presetFeatureTypes, request.featureTypes) + + val leftEdges = featureTypes.map(_.leftEdgeType).distinct + val rightEdges = featureTypes.map(_.rightEdgeType).distinct + + val rightEdgeMap = Stat.time(toPartialGraphQueryStat) { + rightEdges.map { rightEdge => + val map = graphContainer.toPartialMap.get(rightEdge) match { + case Some(graph) => + candidateIds.flatMap { candidateId => + graph.apply(candidateId).map(candidateId -> _) + }.toMap + case None => + Map.empty[Long, ByteBuffer] + } + rightEdge -> map + }.toMap + } + + val leftEdgeMap = Stat.time(fromPartialGraphQueryStat) { + leftEdges.flatMap { leftEdge => + graphContainer.toPartialMap.get(leftEdge).flatMap(_.apply(userId)).map(leftEdge -> _) + }.toMap + } + + val res = Stat.time(intersectionCalculationStat) { + WorkerIntersectionResponse( + // NOTE that candidate ordering is important + candidateIds.map { candidateId => + // NOTE that the featureTypes ordering is important + featureTypes.map { + featureType => + val leftNeighborsOpt = leftEdgeMap.get(featureType.leftEdgeType) + val rightNeighborsOpt = + rightEdgeMap.get(featureType.rightEdgeType).flatMap(_.get(candidateId)) + + if (leftNeighborsOpt.isEmpty && rightNeighborsOpt.isEmpty) { + EmptyWorkerIntersectionValue + } else if (rightNeighborsOpt.isEmpty) { + EmptyWorkerIntersectionValue.copy( + leftNodeDegree = computeArraySize(leftNeighborsOpt.get) + ) + } else if (leftNeighborsOpt.isEmpty) { + EmptyWorkerIntersectionValue.copy( + rightNodeDegree = computeArraySize(rightNeighborsOpt.get) + ) + } else { + IntersectionValueCalculator( + leftNeighborsOpt.get, + rightNeighborsOpt.get, + request.intersectionIdLimit) + } + } + } + ) + } + + Future.value(res) + } +} + +object WorkerGetIntersectionHandler { + val EmptyWorkerIntersectionValue: WorkerIntersectionValue = WorkerIntersectionValue(0, 0, 0, Nil) +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/handlers/WorkerWarmupHandler.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/handlers/WorkerWarmupHandler.scala new file mode 100644 index 000000000..d89d215c1 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/handlers/WorkerWarmupHandler.scala @@ -0,0 +1,14 @@ +package com.twitter.graph_feature_service.worker.handlers + +import com.twitter.finatra.thrift.routing.ThriftWarmup +import com.twitter.inject.Logging +import com.twitter.inject.utils.Handler +import javax.inject.{Inject, Singleton} + +@Singleton +class WorkerWarmupHandler @Inject() (warmup: ThriftWarmup) extends Handler with Logging { + + override def handle(): Unit = { + info("Warmup Done!") + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/modules/GraphContainerProviderModule.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/modules/GraphContainerProviderModule.scala new file mode 100644 index 000000000..6c66922d4 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/modules/GraphContainerProviderModule.scala @@ -0,0 +1,62 @@ +package com.twitter.graph_feature_service.worker.modules + +import com.google.inject.Provides +import com.twitter.concurrent.AsyncSemaphore +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.graph_feature_service.common.Configs._ +import com.twitter.graph_feature_service.worker.util +import com.twitter.graph_feature_service.worker.util.AutoUpdatingGraph +import com.twitter.graph_feature_service.worker.util.FollowedByPartialValueGraph +import com.twitter.graph_feature_service.worker.util.FollowingPartialValueGraph +import com.twitter.graph_feature_service.worker.util.GraphContainer +import com.twitter.graph_feature_service.worker.util.GraphKey +import com.twitter.graph_feature_service.worker.util.MutualFollowPartialValueGraph +import com.twitter.inject.TwitterModule +import com.twitter.inject.annotations.Flag +import com.twitter.util.Timer +import javax.inject.Singleton + +object GraphContainerProviderModule extends TwitterModule { + + @Provides + @Singleton + def provideAutoUpdatingGraphs( + @Flag(WorkerFlagNames.HdfsCluster) hdfsCluster: String, + @Flag(WorkerFlagNames.HdfsClusterUrl) hdfsClusterUrl: String, + @Flag(WorkerFlagNames.ShardId) shardId: Int + )( + implicit statsReceiver: StatsReceiver, + timer: Timer + ): GraphContainer = { + + // NOTE that we do not load some the graphs for saving RAM at this moment. + val enabledGraphPaths: Map[GraphKey, String] = + Map( + FollowingPartialValueGraph -> FollowOutValPath, + FollowedByPartialValueGraph -> FollowInValPath + ) + + // Only allow one graph to update at the same time. + val sharedSemaphore = new AsyncSemaphore(1) + + val graphs: Map[GraphKey, AutoUpdatingGraph] = + enabledGraphPaths.map { + case (graphKey, path) => + graphKey -> AutoUpdatingGraph( + dataPath = getHdfsPath(path), + hdfsCluster = hdfsCluster, + hdfsClusterUrl = hdfsClusterUrl, + shard = shardId, + minimumSizeForCompleteGraph = 1e6.toLong, + sharedSemaphore = Some(sharedSemaphore) + )( + statsReceiver + .scope("graphs") + .scope(graphKey.getClass.getSimpleName), + timer + ) + } + + util.GraphContainer(graphs) + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/modules/WorkerFlagModule.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/modules/WorkerFlagModule.scala new file mode 100644 index 000000000..2188d169b --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/modules/WorkerFlagModule.scala @@ -0,0 +1,33 @@ +package com.twitter.graph_feature_service.worker.modules + +import com.twitter.inject.TwitterModule + +object WorkerFlagNames { + final val ServiceRole = "service.role" + final val ServiceEnv = "service.env" + final val ShardId = "service.shardId" + final val NumShards = "service.numShards" + final val HdfsCluster = "service.hdfsCluster" + final val HdfsClusterUrl = "service.hdfsClusterUrl" +} + +/** + * Initializes references to the flag values defined in the aurora.deploy file. + * To check what the flag values are initialized in runtime, search FlagsModule in stdout + */ +object WorkerFlagModule extends TwitterModule { + + import WorkerFlagNames._ + + flag[Int](ShardId, "Shard Id") + + flag[Int](NumShards, "Num of Graph Shards") + + flag[String](ServiceRole, "Service Role") + + flag[String](ServiceEnv, "Service Env") + + flag[String](HdfsCluster, "Hdfs cluster to download graph files from") + + flag[String](HdfsClusterUrl, "Hdfs cluster url to download graph files from") +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/AutoUpdatingGraph.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/AutoUpdatingGraph.scala new file mode 100644 index 000000000..e5c1c367f --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/AutoUpdatingGraph.scala @@ -0,0 +1,69 @@ +package com.twitter.graph_feature_service.worker.util + +import com.twitter.bijection.Injection +import com.twitter.concurrent.AsyncSemaphore +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.frigate.common.constdb_util.{ + AutoUpdatingReadOnlyGraph, + ConstDBImporter, + Injections +} +import com.twitter.graph_feature_service.common.Configs +import com.twitter.util.{Duration, Future, Timer} +import java.nio.ByteBuffer + +/** + * @param dataPath the path to the data on HDFS + * @param hdfsCluster cluster where we check for updates and download graph files from + * @param hdfsClusterUrl url to HDFS cluster + * @param shard The shard of the graph to download + * @param minimumSizeForCompleteGraph minimumSize for complete graph - otherwise we don't load it + * @param updateIntervalMin The interval after which the first update is tried and the interval between such updates + * @param updateIntervalMax the maximum time before an update is triggered + * @param deleteInterval The interval after which older data is deleted from disk + * @param sharedSemaphore The semaphore controls the number of graph loads at same time on the instance. + */ +case class AutoUpdatingGraph( + dataPath: String, + hdfsCluster: String, + hdfsClusterUrl: String, + shard: Int, + minimumSizeForCompleteGraph: Long, + updateIntervalMin: Duration = 1.hour, + updateIntervalMax: Duration = 12.hours, + deleteInterval: Duration = 2.seconds, + sharedSemaphore: Option[AsyncSemaphore] = None +)( + implicit statsReceiver: StatsReceiver, + timer: Timer) + extends AutoUpdatingReadOnlyGraph[Long, ByteBuffer]( + hdfsCluster, + hdfsClusterUrl, + shard, + minimumSizeForCompleteGraph, + updateIntervalMin, + updateIntervalMax, + deleteInterval, + sharedSemaphore + ) + with ConstDBImporter[Long, ByteBuffer] { + + override def numGraphShards: Int = Configs.NumGraphShards + + override def basePath: String = dataPath + + override val keyInj: Injection[Long, ByteBuffer] = Injections.long2Varint + + override val valueInj: Injection[ByteBuffer, ByteBuffer] = Injection.identity + + override def get(targetId: Long): Future[Option[ByteBuffer]] = + super + .get(targetId) + .map { res => + res.foreach(r => arraySizeStat.add(r.remaining())) + res + } + + private val arraySizeStat = stats.scope("get").stat("size") +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GfsQuery.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GfsQuery.scala new file mode 100644 index 000000000..e5d822e2b --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GfsQuery.scala @@ -0,0 +1,14 @@ +package com.twitter.graph_feature_service.worker.util + +import com.twitter.graph_feature_service.thriftscala.EdgeType + +sealed trait GfsQuery { + def edgeType: EdgeType + def userId: Long +} + +/** + * Search for edges for any users to users in local partition. + */ +case class ToPartialQuery(edgeType: EdgeType, userId: Long) extends GfsQuery + diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphContainer.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphContainer.scala new file mode 100644 index 000000000..9ac626bb9 --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphContainer.scala @@ -0,0 +1,19 @@ +package com.twitter.graph_feature_service.worker.util + +import com.twitter.graph_feature_service.thriftscala.EdgeType +import com.twitter.util.Future + +case class GraphContainer( + graphs: Map[GraphKey, AutoUpdatingGraph]) { + + final val toPartialMap: Map[EdgeType, AutoUpdatingGraph] = + graphs.collect { + case (partialValueGraph: PartialValueGraph, graph) => + partialValueGraph.edgeType -> graph + } + + // load all the graphs from constantDB format to memory + def warmup: Future[Unit] = { + Future.collect(graphs.mapValues(_.warmup())).unit + } +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphKey.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphKey.scala new file mode 100644 index 000000000..2b174eb8c --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphKey.scala @@ -0,0 +1,32 @@ +package com.twitter.graph_feature_service.worker.util + +import com.twitter.graph_feature_service.thriftscala.EdgeType +import com.twitter.graph_feature_service.thriftscala.EdgeType._ + +sealed trait GraphKey { + + def edgeType: EdgeType +} + +sealed trait PartialValueGraph extends GraphKey + +/** + * Follow Graphs + */ +object FollowingPartialValueGraph extends PartialValueGraph { + + override def edgeType: EdgeType = Following +} + +object FollowedByPartialValueGraph extends PartialValueGraph { + + override def edgeType: EdgeType = FollowedBy +} + +/** + * Mutual Follow Graphs + */ +object MutualFollowPartialValueGraph extends PartialValueGraph { + + override def edgeType: EdgeType = MutualFollow +} diff --git a/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphType.scala b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphType.scala new file mode 100644 index 000000000..a2a7634af --- /dev/null +++ b/graph-feature-service/src/main/scala/com/twitter/graph_feature_service/worker/util/GraphType.scala @@ -0,0 +1,16 @@ +package com.twitter.graph_feature_service.worker.util + +//These classes are to help the GraphContainer choose the right data structure to answer queries +sealed trait GraphType + +object FollowGraph extends GraphType + +object FavoriteGraph extends GraphType + +object RetweetGraph extends GraphType + +object ReplyGraph extends GraphType + +object MentionGraph extends GraphType + +object MutualFollowGraph extends GraphType diff --git a/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/BUILD.bazel b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/BUILD.bazel new file mode 100644 index 000000000..66e27fb7f --- /dev/null +++ b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/BUILD.bazel @@ -0,0 +1,66 @@ +scala_library( + platform = "java8", + tags = [ + "bazel-compatible", + "bazel-only", + ], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:core", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/constdb_util", + "graph-feature-service/src/main/scala/com/twitter/graph_feature_service/common", + "src/scala/com/twitter/interaction_graph/scio/agg_all:interaction_graph_history_aggregated_edge_snapshot-scala", + "src/scala/com/twitter/interaction_graph/scio/ml/scores:real_graph_in_scores-scala", + "src/scala/com/twitter/pluck/source/user_audits:user_audit_final-scala", + "src/scala/com/twitter/scalding_internal/dalv2", + "src/scala/com/twitter/scalding_internal/job", + "src/scala/com/twitter/scalding_internal/job/analytics_batch", + ], +) + +scalding_job( + name = "graph_feature_service_adhoc_job", + main = "com.twitter.graph_feature_service.scalding.GraphFeatureServiceAdhocApp", + args = [ + "--date 2022-10-24", + ], + config = [ + ("hadoop.map.jvm.total-memory", "3072m"), + ("hadoop.reduce.jvm.total-memory", "3072m"), + ("hadoop.submitter.jvm.total-memory", "5120m"), + ("submitter.tier", "preemptible"), + ], + contact = "recos-platform-alerts@twitter.com", + hadoop_cluster = "atla-proc", + hadoop_properties = [("mapreduce.job.hdfs-servers", "/atla/proc/user/cassowary")], + platform = "java8", + role = "cassowary", + runtime_platform = "java8", + tags = [ + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [":scalding"], +) + +scalding_job( + name = "graph_feature_service_daily_job", + main = "com.twitter.graph_feature_service.scalding.GraphFeatureServiceScheduledApp", + config = [ + ("hadoop.map.jvm.total-memory", "3072m"), + ("hadoop.reduce.jvm.total-memory", "3072m"), + ("hadoop.submitter.jvm.total-memory", "5120m"), + ("submitter.tier", "preemptible"), + ], + contact = "recos-platform-alerts@twitter.com", + cron = "01,31 * * * *", + hadoop_cluster = "atla-proc", + hadoop_properties = [("mapreduce.job.hdfs-servers", "/atla/proc/user/cassowary")], + platform = "java8", + role = "cassowary", + runtime_platform = "java8", + tags = [ + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [":scalding"], +) diff --git a/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/EdgeFeature.scala b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/EdgeFeature.scala new file mode 100644 index 000000000..76005c3ae --- /dev/null +++ b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/EdgeFeature.scala @@ -0,0 +1,9 @@ +package com.twitter.graph_feature_service.scalding + +case class EdgeFeature( + realGraphScore: Float, + followScore: Option[Float] = None, + mutualFollowScore: Option[Float] = None, + favoriteScore: Option[Float] = None, + retweetScore: Option[Float] = None, + mentionScore: Option[Float] = None) diff --git a/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceAppBase.scala b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceAppBase.scala new file mode 100644 index 000000000..993dc5a39 --- /dev/null +++ b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceAppBase.scala @@ -0,0 +1,85 @@ +package com.twitter.graph_feature_service.scalding + +import com.twitter.scalding._ +import com.twitter.scalding_internal.job.TwitterExecutionApp +import com.twitter.scalding_internal.job.analytics_batch.{ + AnalyticsBatchExecution, + AnalyticsBatchExecutionArgs, + BatchDescription, + BatchFirstTime, + BatchIncrement, + TwitterScheduledExecutionApp +} +import java.util.TimeZone + +/** + * Each job only needs to implement this runOnDateRange() function. It makes it easier for testing. + */ +trait GraphFeatureServiceBaseJob { + implicit val timeZone: TimeZone = DateOps.UTC + implicit val dateParser: DateParser = DateParser.default + + def runOnDateRange( + enableValueGraphs: Option[Boolean] = None, + enableKeyGraphs: Option[Boolean] = None + )( + implicit dateRange: DateRange, + timeZone: TimeZone, + uniqueID: UniqueID + ): Execution[Unit] + + /** + * Print customized counters in the log + */ + def printerCounters[T](execution: Execution[T]): Execution[Unit] = { + execution.getCounters + .flatMap { + case (_, counters) => + counters.toMap.toSeq + .sortBy(e => (e._1.group, e._1.counter)) + .foreach { + case (statKey, value) => + println(s"${statKey.group}\t${statKey.counter}\t$value") + } + Execution.unit + } + } +} + +/** + * Trait that wraps things about adhoc jobs. + */ +trait GraphFeatureServiceAdhocBaseApp extends TwitterExecutionApp with GraphFeatureServiceBaseJob { + override def job: Execution[Unit] = Execution.withId { implicit uniqueId => + Execution.getArgs.flatMap { args: Args => + implicit val dateRange: DateRange = DateRange.parse(args.list("date"))(timeZone, dateParser) + printerCounters(runOnDateRange()) + } + } +} + +/** + * Trait that wraps things about scheduled jobs. + * + * A new daily app only needs to declare the starting date. + */ +trait GraphFeatureServiceScheduledBaseApp + extends TwitterScheduledExecutionApp + with GraphFeatureServiceBaseJob { + + def firstTime: RichDate // for example: RichDate("2018-02-21") + + def batchIncrement: Duration = Days(1) + + override def scheduledJob: Execution[Unit] = Execution.withId { implicit uniqueId => + val analyticsArgs = AnalyticsBatchExecutionArgs( + batchDesc = BatchDescription(getClass.getName), + firstTime = BatchFirstTime(firstTime), + batchIncrement = BatchIncrement(batchIncrement) + ) + + AnalyticsBatchExecution(analyticsArgs) { implicit dateRange => + printerCounters(runOnDateRange()) + } + } +} diff --git a/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceApps.scala b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceApps.scala new file mode 100644 index 000000000..e6086526b --- /dev/null +++ b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceApps.scala @@ -0,0 +1,52 @@ +package com.twitter.graph_feature_service.scalding + +import com.twitter.scalding.DateRange +import com.twitter.scalding.Execution +import com.twitter.scalding.RichDate +import com.twitter.scalding.UniqueID +import java.util.Calendar +import java.util.TimeZone +import sun.util.calendar.BaseCalendar + +/** + * To launch an adhoc run: + * + scalding remote run --target graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding:graph_feature_service_adhoc_job + */ +object GraphFeatureServiceAdhocApp + extends GraphFeatureServiceMainJob + with GraphFeatureServiceAdhocBaseApp {} + +/** + * To schedule the job, upload the workflows config (only required for the first time and subsequent config changes): + * scalding workflow upload --jobs graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding:graph_feature_service_daily_job --autoplay --build-cron-schedule "20 23 1 * *" + * You can then build from the UI by clicking "Build" and pasting in your remote branch, or leave it empty if you're redeploying from master. + * The workflows config above should automatically trigger once each month. + */ +object GraphFeatureServiceScheduledApp + extends GraphFeatureServiceMainJob + with GraphFeatureServiceScheduledBaseApp { + override def firstTime: RichDate = RichDate("2018-05-18") + + override def runOnDateRange( + enableValueGraphs: Option[Boolean], + enableKeyGraphs: Option[Boolean] + )( + implicit dateRange: DateRange, + timeZone: TimeZone, + uniqueID: UniqueID + ): Execution[Unit] = { + // Only run the value Graphs on Tuesday, Thursday, Saturday + val overrideEnableValueGraphs = { + val dayOfWeek = dateRange.start.toCalendar.get(Calendar.DAY_OF_WEEK) + dayOfWeek == BaseCalendar.TUESDAY | + dayOfWeek == BaseCalendar.THURSDAY | + dayOfWeek == BaseCalendar.SATURDAY + } + + super.runOnDateRange( + Some(true), + Some(false) // disable key Graphs since we are not using them in production + ) + } +} diff --git a/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceMainJob.scala b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceMainJob.scala new file mode 100644 index 000000000..f0446285c --- /dev/null +++ b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/GraphFeatureServiceMainJob.scala @@ -0,0 +1,297 @@ +package com.twitter.graph_feature_service.scalding + +import com.twitter.bijection.Injection +import com.twitter.frigate.common.constdb_util.Injections +import com.twitter.frigate.common.constdb_util.ScaldingUtil +import com.twitter.graph_feature_service.common.Configs +import com.twitter.graph_feature_service.common.Configs._ +import com.twitter.interaction_graph.scio.agg_all.InteractionGraphHistoryAggregatedEdgeSnapshotScalaDataset +import com.twitter.interaction_graph.scio.ml.scores.RealGraphInScoresScalaDataset +import com.twitter.interaction_graph.thriftscala.FeatureName +import com.twitter.interaction_graph.thriftscala.{EdgeFeature => TEdgeFeature} +import com.twitter.pluck.source.user_audits.UserAuditFinalScalaDataset +import com.twitter.scalding.DateRange +import com.twitter.scalding.Days +import com.twitter.scalding.Execution +import com.twitter.scalding.Stat +import com.twitter.scalding.UniqueID +import com.twitter.scalding.typed.TypedPipe +import com.twitter.scalding_internal.dalv2.DAL +import com.twitter.scalding_internal.dalv2.remote_access.AllowCrossClusterSameDC +import com.twitter.scalding_internal.multiformat.format.keyval.KeyVal +import com.twitter.util.Time +import com.twitter.wtf.candidate.thriftscala.CandidateSeq +import java.nio.ByteBuffer +import java.util.TimeZone + +trait GraphFeatureServiceMainJob extends GraphFeatureServiceBaseJob { + + // keeping hdfsPath as a separate variable in order to override it in unit tests + protected val hdfsPath: String = BaseHdfsPath + + protected def getShardIdForUser(userId: Long): Int = shardForUser(userId) + + protected implicit val keyInj: Injection[Long, ByteBuffer] = Injections.long2Varint + + protected implicit val valueInj: Injection[Long, ByteBuffer] = Injections.long2ByteBuffer + + protected val bufferSize: Int = 1 << 26 + + protected val maxNumKeys: Int = 1 << 24 + + protected val numReducers: Int = NumGraphShards + + protected val outputStreamBufferSize: Int = 1 << 26 + + protected final val shardingByKey = { (k: Long, _: Long) => + getShardIdForUser(k) + } + + protected final val shardingByValue = { (_: Long, v: Long) => + getShardIdForUser(v) + } + + private def writeGraphToDB( + graph: TypedPipe[(Long, Long)], + shardingFunction: (Long, Long) => Int, + path: String + )( + implicit dateRange: DateRange + ): Execution[TypedPipe[(Int, Unit)]] = { + ScaldingUtil + .writeConstDB[Long, Long]( + graph.withDescription(s"sharding $path"), + shardingFunction, + shardId => + getTimedHdfsShardPath( + shardId, + getHdfsPath(path, Some(hdfsPath)), + Time.fromMilliseconds(dateRange.end.timestamp) + ), + Int.MaxValue, + bufferSize, + maxNumKeys, + numReducers, + outputStreamBufferSize + )( + keyInj, + valueInj, + Ordering[(Long, Long)] + ) + .forceToDiskExecution + } + + def extractFeature( + featureList: Seq[TEdgeFeature], + featureName: FeatureName + ): Option[Float] = { + featureList + .find(_.name == featureName) + .map(_.tss.ewma.toFloat) + .filter(_ > 0.0) + } + + /** + * Function to extract a subgraph (e.g., follow graph) from real graph and take top K by real graph + * weight. + * + * @param input input real graph + * @param edgeFilter filter function to only get the edges needed (e.g., only follow edges) + * @param counter counter + * @return a subgroup that contains topK, e.g., follow graph for each user. + */ + private def getSubGraph( + input: TypedPipe[(Long, Long, EdgeFeature)], + edgeFilter: EdgeFeature => Boolean, + counter: Stat + ): TypedPipe[(Long, Long)] = { + input + .filter(c => edgeFilter(c._3)) + .map { + case (srcId, destId, features) => + (srcId, (destId, features.realGraphScore)) + } + .group + // auto reducer estimation only allocates 15 reducers, so setting an explicit number here + .withReducers(2000) + .sortedReverseTake(TopKRealGraph)(Ordering.by(_._2)) + .flatMap { + case (srcId, topKNeighbors) => + counter.inc() + topKNeighbors.map { + case (destId, _) => + (srcId, destId) + } + } + } + + def getMauIds()(implicit dateRange: DateRange, uniqueID: UniqueID): TypedPipe[Long] = { + val numMAUs = Stat("NUM_MAUS") + val uniqueMAUs = Stat("UNIQUE_MAUS") + + DAL + .read(UserAuditFinalScalaDataset) + .withRemoteReadPolicy(AllowCrossClusterSameDC) + .toTypedPipe + .collect { + case user_audit if user_audit.isValid => + numMAUs.inc() + user_audit.userId + } + .distinct + .map { u => + uniqueMAUs.inc() + u + } + } + + def getRealGraphWithMAUOnly( + implicit dateRange: DateRange, + timeZone: TimeZone, + uniqueID: UniqueID + ): TypedPipe[(Long, Long, EdgeFeature)] = { + val numMAUs = Stat("NUM_MAUS") + val uniqueMAUs = Stat("UNIQUE_MAUS") + + val monthlyActiveUsers = DAL + .read(UserAuditFinalScalaDataset) + .withRemoteReadPolicy(AllowCrossClusterSameDC) + .toTypedPipe + .collect { + case user_audit if user_audit.isValid => + numMAUs.inc() + user_audit.userId + } + .distinct + .map { u => + uniqueMAUs.inc() + u + } + .asKeys + + val realGraphAggregates = DAL + .readMostRecentSnapshot( + InteractionGraphHistoryAggregatedEdgeSnapshotScalaDataset, + dateRange.embiggen(Days(5))) + .withRemoteReadPolicy(AllowCrossClusterSameDC) + .toTypedPipe + .map { edge => + val featureList = edge.features + val edgeFeature = EdgeFeature( + edge.weight.getOrElse(0.0).toFloat, + extractFeature(featureList, FeatureName.NumMutualFollows), + extractFeature(featureList, FeatureName.NumFavorites), + extractFeature(featureList, FeatureName.NumRetweets), + extractFeature(featureList, FeatureName.NumMentions) + ) + (edge.sourceId, (edge.destinationId, edgeFeature)) + } + .join(monthlyActiveUsers) + .map { + case (srcId, ((destId, feature), _)) => + (destId, (srcId, feature)) + } + .join(monthlyActiveUsers) + .map { + case (destId, ((srcId, feature), _)) => + (srcId, destId, feature) + } + realGraphAggregates + } + + def getTopKFollowGraph( + implicit dateRange: DateRange, + timeZone: TimeZone, + uniqueID: UniqueID + ): TypedPipe[(Long, Long)] = { + val followGraphMauStat = Stat("NumFollowEdges_MAU") + val mau: TypedPipe[Long] = getMauIds() + DAL + .readMostRecentSnapshot(RealGraphInScoresScalaDataset, dateRange.embiggen(Days(7))) + .withRemoteReadPolicy(AllowCrossClusterSameDC) + .toTypedPipe + .groupBy(_.key) + .join(mau.asKeys) + .withDescription("filtering srcId by mau") + .flatMap { + case (_, (KeyVal(srcId, CandidateSeq(candidates)), _)) => + followGraphMauStat.inc() + val topK = candidates.sortBy(-_.score).take(TopKRealGraph) + topK.map { c => (srcId, c.userId) } + } + } + + override def runOnDateRange( + enableValueGraphs: Option[Boolean], + enableKeyGraphs: Option[Boolean] + )( + implicit dateRange: DateRange, + timeZone: TimeZone, + uniqueID: UniqueID + ): Execution[Unit] = { + + val processValueGraphs = enableValueGraphs.getOrElse(Configs.EnableValueGraphs) + val processKeyGraphs = enableKeyGraphs.getOrElse(Configs.EnableKeyGraphs) + + if (!processKeyGraphs && !processValueGraphs) { + // Skip the batch job + Execution.unit + } else { + // val favoriteGraphStat = Stat("NumFavoriteEdges") + // val retweetGraphStat = Stat("NumRetweetEdges") + // val mentionGraphStat = Stat("NumMentionEdges") + + // val realGraphAggregates = getRealGraphWithMAUOnly + + val followGraph = getTopKFollowGraph + // val mutualFollowGraph = followGraph.asKeys.join(followGraph.swap.asKeys).keys + + // val favoriteGraph = + // getSubGraph(realGraphAggregates, _.favoriteScore.isDefined, favoriteGraphStat) + + // val retweetGraph = + // getSubGraph(realGraphAggregates, _.retweetScore.isDefined, retweetGraphStat) + + // val mentionGraph = + // getSubGraph(realGraphAggregates, _.mentionScore.isDefined, mentionGraphStat) + + val writeValDataSetExecutions = if (processValueGraphs) { + Seq( + (followGraph, shardingByValue, FollowOutValPath), + (followGraph.swap, shardingByValue, FollowInValPath) + // (mutualFollowGraph, shardingByValue, MutualFollowValPath), + // (favoriteGraph, shardingByValue, FavoriteOutValPath), + // (favoriteGraph.swap, shardingByValue, FavoriteInValPath), + // (retweetGraph, shardingByValue, RetweetOutValPath), + // (retweetGraph.swap, shardingByValue, RetweetInValPath), + // (mentionGraph, shardingByValue, MentionOutValPath), + // (mentionGraph.swap, shardingByValue, MentionInValPath) + ) + } else { + Seq.empty + } + + val writeKeyDataSetExecutions = if (processKeyGraphs) { + Seq( + (followGraph, shardingByKey, FollowOutKeyPath), + (followGraph.swap, shardingByKey, FollowInKeyPath) + // (favoriteGraph, shardingByKey, FavoriteOutKeyPath), + // (favoriteGraph.swap, shardingByKey, FavoriteInKeyPath), + // (retweetGraph, shardingByKey, RetweetOutKeyPath), + // (retweetGraph.swap, shardingByKey, RetweetInKeyPath), + // (mentionGraph, shardingByKey, MentionOutKeyPath), + // (mentionGraph.swap, shardingByKey, MentionInKeyPath), + // (mutualFollowGraph, shardingByKey, MutualFollowKeyPath) + ) + } else { + Seq.empty + } + + Execution + .sequence((writeValDataSetExecutions ++ writeKeyDataSetExecutions).map { + case (graph, shardingMethod, path) => + writeGraphToDB(graph, shardingMethod, path) + }).unit + } + } +} diff --git a/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/adhoc/BUILD.bazel b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/adhoc/BUILD.bazel new file mode 100644 index 000000000..6378b0a83 --- /dev/null +++ b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/adhoc/BUILD.bazel @@ -0,0 +1,27 @@ +scala_library( + platform = "java8", + tags = ["bazel-only"], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:core", + "3rdparty/jvm/com/twitter/bijection:scrooge", + "frigate/frigate-common/src/main/scala/com/twitter/frigate/common/constdb_util", + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api:api-base", + "src/scala/com/twitter/scalding_internal/job", + "src/scala/com/twitter/scalding_internal/job/analytics_batch", + "src/thrift/com/twitter/ml/api:data-java", + ], +) + +hadoop_binary( + name = "gfs_random_request-adhoc", + main = "com.twitter.graph_feature_service.scalding.adhoc.RandomRequestGenerationApp", + platform = "java8", + runtime_platform = "java8", + tags = [ + "bazel-compatible", + "bazel-compatible:migrated", + "bazel-only", + ], + dependencies = [":adhoc"], +) diff --git a/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/adhoc/RandomRequestGenerationApp.scala b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/adhoc/RandomRequestGenerationApp.scala new file mode 100644 index 000000000..7163a96ac --- /dev/null +++ b/graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/adhoc/RandomRequestGenerationApp.scala @@ -0,0 +1,77 @@ +package com.twitter.graph_feature_service.scalding.adhoc + +import com.twitter.bijection.Injection +import com.twitter.frigate.common.constdb_util.Injections +import com.twitter.ml.api.Feature.Discrete +import com.twitter.ml.api.{DailySuffixFeatureSource, DataSetPipe, RichDataRecord} +import com.twitter.scalding._ +import com.twitter.scalding_internal.job.TwitterExecutionApp +import java.nio.ByteBuffer +import java.util.TimeZone + +object RandomRequestGenerationJob { + implicit val timeZone: TimeZone = DateOps.UTC + implicit val dateParser: DateParser = DateParser.default + + val timelineRecapDataSetPath: String = + "/atla/proc2/user/timelines/processed/suggests/recap/data_records" + + val USER_ID = new Discrete("meta.user_id") + val AUTHOR_ID = new Discrete("meta.author_id") + + val timelineRecapOutPutPath: String = "/user/cassowary/gfs/adhoc/timeline_data" + + implicit val inj: Injection[Long, ByteBuffer] = Injections.long2Varint + + def run( + dataSetPath: String, + outPutPath: String, + numOfPairsToTake: Int + )( + implicit dateRange: DateRange, + uniqueID: UniqueID + ): Execution[Unit] = { + + val NumUserAuthorPairs = Stat("NumUserAuthorPairs") + + val dataSet: DataSetPipe = DailySuffixFeatureSource(dataSetPath).read + + val userAuthorPairs: TypedPipe[(Long, Long)] = dataSet.records.map { record => + val richRecord = new RichDataRecord(record, dataSet.featureContext) + + val userId = richRecord.getFeatureValue(USER_ID) + val authorId = richRecord.getFeatureValue(AUTHOR_ID) + NumUserAuthorPairs.inc() + (userId, authorId) + } + + userAuthorPairs + .limit(numOfPairsToTake) + .writeExecution( + TypedTsv[(Long, Long)](outPutPath) + ) + } +} + +/** + * ./bazel bundle graph-feature-service/src/main/scalding/com/twitter/graph_feature_service/scalding/adhoc:all + * + * oscar hdfs --screen --user cassowary --tee gfs_log --bundle gfs_random_request-adhoc \ + --tool com.twitter.graph_feature_service.scalding.adhoc.RandomRequestGenerationApp \ + -- --date 2018-08-11 \ + --input /atla/proc2/user/timelines/processed/suggests/recap/data_records \ + --output /user/cassowary/gfs/adhoc/timeline_data + */ +object RandomRequestGenerationApp extends TwitterExecutionApp { + import RandomRequestGenerationJob._ + override def job: Execution[Unit] = Execution.withId { implicit uniqueId => + Execution.getArgs.flatMap { args: Args => + implicit val dateRange: DateRange = DateRange.parse(args.list("date"))(timeZone, dateParser) + run( + args.optional("input").getOrElse(timelineRecapDataSetPath), + args.optional("output").getOrElse(timelineRecapOutPutPath), + args.int("num_pairs", 3000) + ) + } + } +} diff --git a/graph-feature-service/src/main/thrift/com/twitter/graph_feature_service/BUILD b/graph-feature-service/src/main/thrift/com/twitter/graph_feature_service/BUILD new file mode 100644 index 000000000..72b7d516b --- /dev/null +++ b/graph-feature-service/src/main/thrift/com/twitter/graph_feature_service/BUILD @@ -0,0 +1,15 @@ +create_thrift_libraries( + base_name = "graph_feature_service_thrift", + sources = ["*.thrift"], + platform = "java8", + tags = ["bazel-compatible"], + generate_languages = [ + "java", + # ruby is added due to ruby dependees in timelines + "ruby", + "scala", + "strato", + ], + provides_java_name = "graph_feature_service_thrift_java", + provides_scala_name = "graph_feature_service_thrift_scala", +) diff --git a/graph-feature-service/src/main/thrift/com/twitter/graph_feature_service/graph_feature_service.thrift b/graph-feature-service/src/main/thrift/com/twitter/graph_feature_service/graph_feature_service.thrift new file mode 100644 index 000000000..232f8488d --- /dev/null +++ b/graph-feature-service/src/main/thrift/com/twitter/graph_feature_service/graph_feature_service.thrift @@ -0,0 +1,123 @@ +namespace java com.twitter.graph_feature_service.thriftjava +#@namespace scala com.twitter.graph_feature_service.thriftscala +#@namespace strato com.twitter.graph_feature_service.thriftscala + +// edge type to differentiate different types of graphs (we can also add a lot of other types of edges) +enum EdgeType { + FOLLOWING, + FOLLOWED_BY, + FAVORITE, + FAVORITED_BY, + RETWEET, + RETWEETED_BY, + REPLY, + REPLYED_BY, + MENTION, + MENTIONED_BY, + MUTUAL_FOLLOW, + SIMILAR_TO, // more edge types (like block, report, etc.) can be supported later. + RESERVED_12, + RESERVED_13, + RESERVED_14, + RESERVED_15, + RESERVED_16, + RESERVED_17, + RESERVED_18, + RESERVED_19, + RESERVED_20 +} + +enum PresetFeatureTypes { + EMPTY, + HTL_TWO_HOP, + WTF_TWO_HOP, + SQ_TWO_HOP, + RUX_TWO_HOP, + MR_TWO_HOP, + USER_TYPEAHEAD_TWO_HOP +} + +struct UserWithCount { + 1: required i64 userId(personalDataType = 'UserId') + 2: required i32 count +}(hasPersonalData = 'true') + +struct UserWithScore { + 1: required i64 userId(personalDataType = 'UserId') + 2: required double score +}(hasPersonalData = 'true') + +// Feature Type +// For example, to compute how many of source user's following's have favorited candidate user, +// we need to compute the intersection between source user's FOLLOWING edges, and candidate user's +// FAVORITED_BY edge. In this case, we should user FeatureType(FOLLOWING, FAVORITED_BY) +struct FeatureType { + 1: required EdgeType leftEdgeType // edge type from source user + 2: required EdgeType rightEdgeType // edge type from candidate user +}(persisted="true") + +struct IntersectionValue { + 1: required FeatureType featureType + 2: optional i32 count + 3: optional list intersectionIds(personalDataType = 'UserId') + 4: optional i32 leftNodeDegree + 5: optional i32 rightNodeDegree +}(persisted="true", hasPersonalData = 'true') + +struct GfsIntersectionResult { + 1: required i64 candidateUserId(personalDataType = 'UserId') + 2: required list intersectionValues +}(hasPersonalData = 'true') + +struct GfsIntersectionRequest { + 1: required i64 userId(personalDataType = 'UserId') + 2: required list candidateUserIds(personalDataType = 'UserId') + 3: required list featureTypes + 4: optional i32 intersectionIdLimit +} + +struct GfsPresetIntersectionRequest { + 1: required i64 userId(personalDataType = 'UserId') + 2: required list candidateUserIds(personalDataType = 'UserId') + 3: required PresetFeatureTypes presetFeatureTypes + 4: optional i32 intersectionIdLimit +}(hasPersonalData = 'true') + +struct GfsIntersectionResponse { + 1: required list results +} + +service Server { + GfsIntersectionResponse getIntersection(1: GfsIntersectionRequest request) + GfsIntersectionResponse getPresetIntersection(1: GfsPresetIntersectionRequest request) +} + +################################################################################################### +## For internal usage only +################################################################################################### +struct WorkerIntersectionRequest { + 1: required i64 userId(personalDataType = 'UserId') + 2: required list candidateUserIds(personalDataType = 'UserId') + 3: required list featureTypes + 4: required PresetFeatureTypes presetFeatureTypes + 5: required i32 intersectionIdLimit +}(hasPersonalData = 'true') + +struct WorkerIntersectionResponse { + 1: required list> results +} + +struct WorkerIntersectionValue { + 1: i32 count + 2: i32 leftNodeDegree + 3: i32 rightNodeDegree + 4: list intersectionIds(personalDataType = 'UserId') +}(hasPersonalData = 'true') + +struct CachedIntersectionResult { + 1: required list values +} + +service Worker { + WorkerIntersectionResponse getIntersection(1: WorkerIntersectionRequest request) +} diff --git a/home-mixer/BUILD.bazel b/home-mixer/BUILD.bazel new file mode 100644 index 000000000..ab7b358e7 --- /dev/null +++ b/home-mixer/BUILD.bazel @@ -0,0 +1,30 @@ +jvm_binary( + name = "bin", + basename = "home-mixer", + main = "com.twitter.home_mixer.HomeMixerServerMain", + runtime_platform = "java11", + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/ch/qos/logback:logback-classic", + "finagle/finagle-zipkin-scribe/src/main/scala", + "finatra/inject/inject-logback/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer", + "loglens/loglens-logback/src/main/scala/com/twitter/loglens/logback", + "twitter-server-internal/src/main/scala", + "twitter-server/logback-classic/src/main/scala", + ], +) + +# Aurora Workflows build phase convention requires a jvm_app named with home-mixer-app +jvm_app( + name = "home-mixer-app", + archive = "zip", + binary = ":bin", + bundles = [ + bundle( + fileset = ["config/**/*"], + owning_target = "home-mixer/config:files", + ), + ], + tags = ["bazel-compatible"], +) diff --git a/home-mixer/README.md b/home-mixer/README.md new file mode 100644 index 000000000..a1be737be --- /dev/null +++ b/home-mixer/README.md @@ -0,0 +1,102 @@ +Home Mixer +========== + +Home Mixer is the main service used to construct and serve Twitter's Home Timelines. It currently +powers: +- For you - best Tweets from people you follow + recommended out-of-network content +- Following - reverse chronological Tweets from people you follow +- Lists - reverse chronological Tweets from List members + +Home Mixer is built on Product Mixer, our custom Scala framework that facilitates building +feeds of content. + +## Overview + +The For You recommendation algorithm in Home Mixer involves the following stages: + +- Candidate Generation - fetch Tweets from various Candidate Sources. For example: + - Earlybird Search Index + - User Tweet Entity Graph + - Cr Mixer + - Follow Recommendations Service +- Feature Hydration + - Fetch the ~6000 features needed for ranking +- Scoring and Ranking using ML model +- Filters and Heuristics. For example: + - Author Diversity + - Content Balance (In network vs Out of Network) + - Feedback fatigue + - Deduplication / previously seen Tweets removal + - Visibility Filtering (blocked, muted authors/tweets, NSFW settings) +- Mixing - integrate Tweets with non-Tweet content + - Ads + - Who-to-follow modules + - Prompts +- Product Features and Serving + - Conversation Modules for replies + - Social Context + - Timeline Navigation + - Edited Tweets + - Feedback options + - Pagination and cursoring + - Observability and logging + - Client instructions and content marshalling + +## Pipeline Structure + +### General + +Product Mixer services like Home Mixer are structured around Pipelines that split the execution +into transparent and structured steps. + +Requests first go to Product Pipelines, which are used to select which Mixer Pipeline or +Recommendation Pipeline to run for a given request. Each Mixer or Recommendation +Pipeline may run multiple Candidate Pipelines to fetch candidates to include in the response. + +Mixer Pipelines combine the results of multiple heterogeneous Candidate Pipelines together +(e.g. ads, tweets, users) while Recommendation Pipelines are used to score (via Scoring Pipelines) +and rank the results of homogenous Candidate Pipelines so that the top ranked ones can be returned. +These pipelines also marshall candidates into a domain object and then into a transport object +to return to the caller. + +Candidate Pipelines fetch candidates from underlying Candidate Sources and perform some basic +operations on the Candidates, such as filtering out unwanted candidates, applying decorations, +and hydrating features. + +The sections below describe the high level pipeline structure (non-exhaustive) for the main Home +Timeline tabs powered by Home Mixer. + +### For You + +- ForYouProductPipelineConfig + - ForYouScoredTweetsMixerPipelineConfig (main orchestration layer - mixes Tweets with ads and users) + - ForYouScoredTweetsCandidatePipelineConfig (fetch Tweets) + - ScoredTweetsRecommendationPipelineConfig (main Tweet recommendation layer) + - Fetch Tweet Candidates + - ScoredTweetsInNetworkCandidatePipelineConfig + - ScoredTweetsCrMixerCandidatePipelineConfig + - ScoredTweetsUtegCandidatePipelineConfig + - ScoredTweetsFrsCandidatePipelineConfig + - Feature Hydration and Scoring + - ScoredTweetsScoringPipelineConfig + - ForYouConversationServiceCandidatePipelineConfig (backup reverse chron pipeline in case Scored Tweets fails) + - ForYouAdsCandidatePipelineConfig (fetch ads) + - ForYouWhoToFollowCandidatePipelineConfig (fetch users to recommend) + +### Following + +- FollowingProductPipelineConfig + - FollowingMixerPipelineConfig + - FollowingEarlybirdCandidatePipelineConfig (fetch tweets from Search Index) + - ConversationServiceCandidatePipelineConfig (fetch ancestors for conversation modules) + - FollowingAdsCandidatePipelineConfig (fetch ads) + - FollowingWhoToFollowCandidatePipelineConfig (fetch users to recommend) + +### Lists + +- ListTweetsProductPipelineConfig + - ListTweetsMixerPipelineConfig + - ListTweetsTimelineServiceCandidatePipelineConfig (fetch tweets from timeline service) + - ConversationServiceCandidatePipelineConfig (fetch ancestors for conversation modules) + - ListTweetsAdsCandidatePipelineConfig (fetch ads) + diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/BUILD.bazel new file mode 100644 index 000000000..a9474ec09 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/BUILD.bazel @@ -0,0 +1,46 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/google/inject:guice", + "3rdparty/jvm/javax/inject:javax.inject", + "3rdparty/jvm/net/codingwell:scala-guice", + "3rdparty/jvm/org/slf4j:slf4j-api", + "finagle/finagle-core/src/main", + "finagle/finagle-http/src/main/scala", + "finagle/finagle-thriftmux/src/main/scala", + "finatra-internal/mtls-http/src/main/scala", + "finatra-internal/mtls-thriftmux/src/main/scala", + "finatra/http-core/src/main/java/com/twitter/finatra/http", + "finatra/inject/inject-app/src/main/java/com/twitter/inject/annotations", + "finatra/inject/inject-app/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-server/src/main/scala", + "finatra/inject/inject-utils/src/main/scala", + "home-mixer/server/src/main/resources", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/controller", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/module", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/module", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module/stringcenter", + "product-mixer/core/src/main/thrift/com/twitter/product_mixer/core:thrift-scala", + "src/thrift/com/twitter/timelines/render:thrift-scala", + "stringcenter/client", + "stringcenter/client/src/main/java", + "stringcenter/client/src/main/scala/com/twitter/stringcenter/client", + "thrift-web-forms/src/main/scala/com/twitter/thriftwebforms/view", + "timelines/src/main/scala/com/twitter/timelines/config", + "timelines/src/main/scala/com/twitter/timelines/features/app", + "twitter-server-internal", + "twitter-server/server/src/main/scala", + "util/util-app/src/main/scala", + "util/util-core:scala", + "util/util-slf4j-api/src/main/scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerHttpServerWarmupHandler.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerHttpServerWarmupHandler.scala new file mode 100644 index 000000000..16a9d9c58 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerHttpServerWarmupHandler.scala @@ -0,0 +1,18 @@ +package com.twitter.home_mixer + +import com.twitter.finatra.http.routing.HttpWarmup +import com.twitter.finatra.httpclient.RequestBuilder._ +import com.twitter.inject.Logging +import com.twitter.inject.utils.Handler +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeMixerHttpServerWarmupHandler @Inject() (warmup: HttpWarmup) extends Handler with Logging { + + override def handle(): Unit = { + Try(warmup.send(get("/admin/product-mixer/product-pipelines"), admin = true)()) + .onFailure(e => error(e.getMessage, e)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerServer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerServer.scala new file mode 100644 index 000000000..ff7c75727 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerServer.scala @@ -0,0 +1,118 @@ +package com.twitter.home_mixer + +import com.google.inject.Module +import com.twitter.finagle.Filter +import com.twitter.finatra.annotations.DarkTrafficFilterType +import com.twitter.finatra.http.HttpServer +import com.twitter.finatra.http.routing.HttpRouter +import com.twitter.finatra.mtls.http.{Mtls => HttpMtls} +import com.twitter.finatra.mtls.thriftmux.Mtls +import com.twitter.finatra.mtls.thriftmux.modules.MtlsThriftWebFormsModule +import com.twitter.finatra.thrift.ThriftServer +import com.twitter.finatra.thrift.filters._ +import com.twitter.finatra.thrift.routing.ThriftRouter +import com.twitter.home_mixer.controller.HomeThriftController +import com.twitter.home_mixer.module._ +import com.twitter.home_mixer.param.GlobalParamConfigModule +import com.twitter.home_mixer.product.HomeMixerProductModule +import com.twitter.home_mixer.{thriftscala => st} +import com.twitter.product_mixer.component_library.module.AccountRecommendationsMixerModule +import com.twitter.product_mixer.component_library.module.CrMixerClientModule +import com.twitter.product_mixer.component_library.module.DarkTrafficFilterModule +import com.twitter.product_mixer.component_library.module.EarlybirdModule +import com.twitter.product_mixer.component_library.module.ExploreRankerClientModule +import com.twitter.product_mixer.component_library.module.GizmoduckClientModule +import com.twitter.product_mixer.component_library.module.OnboardingTaskServiceModule +import com.twitter.product_mixer.component_library.module.SocialGraphServiceModule +import com.twitter.product_mixer.component_library.module.TimelineMixerClientModule +import com.twitter.product_mixer.component_library.module.TimelineRankerClientModule +import com.twitter.product_mixer.component_library.module.TimelineScorerClientModule +import com.twitter.product_mixer.component_library.module.TimelineServiceClientModule +import com.twitter.product_mixer.component_library.module.TweetImpressionStoreModule +import com.twitter.product_mixer.component_library.module.UserSessionStoreModule +import com.twitter.product_mixer.core.controllers.ProductMixerController +import com.twitter.product_mixer.core.module.LoggingThrowableExceptionMapper +import com.twitter.product_mixer.core.module.ProductMixerModule +import com.twitter.product_mixer.core.module.StratoClientModule +import com.twitter.product_mixer.core.module.stringcenter.ProductScopeStringCenterModule + +object HomeMixerServerMain extends HomeMixerServer + +class HomeMixerServer extends ThriftServer with Mtls with HttpServer with HttpMtls { + override val name = "home-mixer-server" + + override val modules: Seq[Module] = Seq( + AccountRecommendationsMixerModule, + AdvertiserBrandSafetySettingsStoreModule, + ClientSentImpressionsPublisherModule, + ConversationServiceModule, + CrMixerClientModule, + EarlybirdModule, + ExploreRankerClientModule, + GizmoduckClientModule, + GlobalParamConfigModule, + HomeAdsCandidateSourceModule, + HomeMixerFlagsModule, + HomeMixerProductModule, + HomeMixerResourcesModule, + HomeNaviModelClientModule, + ImpressionBloomFilterModule, + InjectionHistoryClientModule, + FeedbackHistoryClientModule, + ManhattanClientsModule, + ManhattanFeatureRepositoryModule, + ManhattanTweetImpressionStoreModule, + MemcachedFeatureRepositoryModule, + OnboardingTaskServiceModule, + OptimizedStratoClientModule, + PeopleDiscoveryServiceModule, + ProductMixerModule, + RealGraphInNetworkScoresModule, + RealtimeAggregateFeatureRepositoryModule, + ScoredTweetsMemcacheModule, + ScribeEventPublisherModule, + SimClustersRecentEngagementsClientModule, + SocialGraphServiceModule, + StaleTweetsCacheModule, + StratoClientModule, + ThriftFeatureRepositoryModule, + TimelineMixerClientModule, + TimelineRankerClientModule, + TimelineScorerClientModule, + TimelineServiceClientModule, + TimelinesPersistenceStoreClientModule, + TweetImpressionStoreModule, + TweetyPieClientModule, + TweetypieStaticEntitiesCacheClientModule, + UserMetadataStoreModule, + UserSessionStoreModule, + new DarkTrafficFilterModule[st.HomeMixer.ReqRepServicePerEndpoint](), + new MtlsThriftWebFormsModule[st.HomeMixer.MethodPerEndpoint](this), + new ProductScopeStringCenterModule() + ) + + def configureThrift(router: ThriftRouter): Unit = { + router + .filter[LoggingMDCFilter] + .filter[TraceIdMDCFilter] + .filter[ThriftMDCFilter] + .filter[StatsFilter] + .filter[AccessLoggingFilter] + .filter[ExceptionMappingFilter] + .filter[Filter.TypeAgnostic, DarkTrafficFilterType] + .exceptionMapper[LoggingThrowableExceptionMapper] + .exceptionMapper[PipelineFailureExceptionMapper] + .add[HomeThriftController] + } + + override def configureHttp(router: HttpRouter): Unit = + router.add( + ProductMixerController[st.HomeMixer.MethodPerEndpoint]( + this.injector, + st.HomeMixer.ExecutePipeline)) + + override protected def warmup(): Unit = { + handle[HomeMixerThriftServerWarmupHandler]() + handle[HomeMixerHttpServerWarmupHandler]() + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerThriftServerWarmupHandler.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerThriftServerWarmupHandler.scala new file mode 100644 index 000000000..df7001072 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/HomeMixerThriftServerWarmupHandler.scala @@ -0,0 +1,73 @@ +package com.twitter.home_mixer + +import com.twitter.finagle.thrift.ClientId +import com.twitter.finatra.thrift.routing.ThriftWarmup +import com.twitter.home_mixer.{thriftscala => st} +import com.twitter.inject.Logging +import com.twitter.inject.utils.Handler +import com.twitter.product_mixer.core.{thriftscala => pt} +import com.twitter.scrooge.Request +import com.twitter.scrooge.Response +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeMixerThriftServerWarmupHandler @Inject() (warmup: ThriftWarmup) + extends Handler + with Logging { + + private val clientId = ClientId("thrift-warmup-client") + + def handle(): Unit = { + val testIds = Seq(1, 2, 3) + try { + clientId.asCurrent { + testIds.foreach { id => + val warmupReq = warmupQuery(id) + info(s"Sending warm-up request to service with query: $warmupReq") + warmup.sendRequest( + method = st.HomeMixer.GetUrtResponse, + req = Request(st.HomeMixer.GetUrtResponse.Args(warmupReq)))(assertWarmupResponse) + } + } + } catch { + case e: Throwable => error(e.getMessage, e) + } + info("Warm-up done.") + } + + private def warmupQuery(userId: Long): st.HomeMixerRequest = { + val clientContext = pt.ClientContext( + userId = Some(userId), + guestId = None, + appId = Some(12345L), + ipAddress = Some("0.0.0.0"), + userAgent = Some("FAKE_USER_AGENT_FOR_WARMUPS"), + countryCode = Some("US"), + languageCode = Some("en"), + isTwoffice = None, + userRoles = None, + deviceId = Some("FAKE_DEVICE_ID_FOR_WARMUPS") + ) + st.HomeMixerRequest( + clientContext = clientContext, + product = st.Product.Following, + productContext = Some(st.ProductContext.Following(st.Following())), + maxResults = Some(3) + ) + } + + private def assertWarmupResponse( + result: Try[Response[st.HomeMixer.GetUrtResponse.SuccessType]] + ): Unit = { + result match { + case Return(_) => // ok + case Throw(exception) => + warn("Error performing warm-up request.") + error(exception.getMessage, exception) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/BUILD.bazel new file mode 100644 index 000000000..526efd718 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/BUILD.bazel @@ -0,0 +1,36 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/manhattan", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/persistence", + "timelines/src/main/scala/com/twitter/timelines/injection/scribe", + "timelineservice/common/src/main/scala/com/twitter/timelineservice/model", + ], + exports = [ + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceCandidatePipelineConfig.scala new file mode 100644 index 000000000..8a255b7bb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceCandidatePipelineConfig.scala @@ -0,0 +1,107 @@ +package com.twitter.home_mixer.candidate_pipeline + +import com.twitter.home_mixer.functional_component.feature_hydrator.NamesFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.SocialGraphServiceFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.TweetypieFeatureHydrator +import com.twitter.home_mixer.functional_component.filter.InvalidConversationModuleFilter +import com.twitter.home_mixer.functional_component.filter.PredicateFeatureFilter +import com.twitter.home_mixer.functional_component.filter.RetweetDeduplicationFilter +import com.twitter.home_mixer.model.HomeFeatures.IsHydratedFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetDroppedFeature +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc.ConversationServiceCandidateSource +import com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc.ConversationServiceCandidateSourceRequest +import com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc.TweetWithConversationMetadata +import com.twitter.product_mixer.component_library.filter.FeatureFilter +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.gate.BaseGate +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.functional_component.transformer.DependentCandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.pipeline.candidate.DependentCandidatePipelineConfig + +/** + * Candidate Pipeline Config that fetches tweets from the Conversation Service Candidate Source + */ +class ConversationServiceCandidatePipelineConfig[Query <: PipelineQuery]( + conversationServiceCandidateSource: ConversationServiceCandidateSource, + tweetypieFeatureHydrator: TweetypieFeatureHydrator, + socialGraphServiceFeatureHydrator: SocialGraphServiceFeatureHydrator, + namesFeatureHydrator: NamesFeatureHydrator, + override val gates: Seq[BaseGate[Query]], + override val decorator: Option[CandidateDecorator[Query, TweetCandidate]]) + extends DependentCandidatePipelineConfig[ + Query, + ConversationServiceCandidateSourceRequest, + TweetWithConversationMetadata, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ConversationService") + + private val TweetypieHydratedFilterId = "TweetypieHydrated" + private val QuotedTweetDroppedFilterId = "QuotedTweetDropped" + + override val candidateSource: BaseCandidateSource[ + ConversationServiceCandidateSourceRequest, + TweetWithConversationMetadata + ] = conversationServiceCandidateSource + + override val queryTransformer: DependentCandidatePipelineQueryTransformer[ + Query, + ConversationServiceCandidateSourceRequest + ] = { (_, candidates) => + val tweetsWithConversationMetadata = candidates.map { candidate => + TweetWithConversationMetadata( + tweetId = candidate.candidateIdLong, + userId = None, + sourceTweetId = None, + sourceUserId = None, + inReplyToTweetId = None, + conversationId = None, + ancestors = Seq.empty + ) + } + ConversationServiceCandidateSourceRequest(tweetsWithConversationMetadata) + } + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[TweetWithConversationMetadata] + ] = Seq(ConversationServiceResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + TweetWithConversationMetadata, + TweetCandidate + ] = { sourceResult => TweetCandidate(id = sourceResult.tweetId) } + + override val preFilterFeatureHydrationPhase1: Seq[ + BaseCandidateFeatureHydrator[Query, TweetCandidate, _] + ] = Seq(tweetypieFeatureHydrator, socialGraphServiceFeatureHydrator) + + override def filters: Seq[Filter[Query, TweetCandidate]] = Seq( + RetweetDeduplicationFilter, + FeatureFilter.fromFeature(FilterIdentifier(TweetypieHydratedFilterId), IsHydratedFeature), + PredicateFeatureFilter.fromPredicate( + FilterIdentifier(QuotedTweetDroppedFilterId), + shouldKeepCandidate = { features => !features.getOrElse(QuotedTweetDroppedFeature, false) } + ), + InvalidConversationModuleFilter + ) + + override val postFilterFeatureHydration: Seq[ + BaseCandidateFeatureHydrator[Query, TweetCandidate, _] + ] = Seq(namesFeatureHydrator) + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert() + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceCandidatePipelineConfigBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceCandidatePipelineConfigBuilder.scala new file mode 100644 index 000000000..219069816 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceCandidatePipelineConfigBuilder.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.candidate_pipeline + +import com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc.ConversationServiceCandidateSource +import com.twitter.home_mixer.functional_component.feature_hydrator.NamesFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.SocialGraphServiceFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.TweetypieFeatureHydrator +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator +import com.twitter.product_mixer.core.functional_component.gate.BaseGate +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ConversationServiceCandidatePipelineConfigBuilder[Query <: PipelineQuery] @Inject() ( + conversationServiceCandidateSource: ConversationServiceCandidateSource, + tweetypieFeatureHydrator: TweetypieFeatureHydrator, + socialGraphServiceFeatureHydrator: SocialGraphServiceFeatureHydrator, + namesFeatureHydrator: NamesFeatureHydrator) { + + def build( + gates: Seq[BaseGate[Query]] = Seq.empty, + decorator: Option[CandidateDecorator[Query, TweetCandidate]] = None + ): ConversationServiceCandidatePipelineConfig[Query] = { + new ConversationServiceCandidatePipelineConfig( + conversationServiceCandidateSource, + tweetypieFeatureHydrator, + socialGraphServiceFeatureHydrator, + namesFeatureHydrator, + gates, + decorator + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceResponseFeatureTransformer.scala new file mode 100644 index 000000000..154c080ad --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/ConversationServiceResponseFeatureTransformer.scala @@ -0,0 +1,39 @@ +package com.twitter.home_mixer.candidate_pipeline + +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc.TweetWithConversationMetadata +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.timelineservice.suggests.thriftscala.SuggestType + +object ConversationServiceResponseFeatureTransformer + extends CandidateFeatureTransformer[TweetWithConversationMetadata] { + + override val identifier: TransformerIdentifier = + TransformerIdentifier("ConversationServiceResponse") + + override val features: Set[Feature[_, _]] = Set( + AuthorIdFeature, + InReplyToTweetIdFeature, + IsRetweetFeature, + SourceTweetIdFeature, + SourceUserIdFeature, + ConversationModuleFocalTweetIdFeature, + AncestorsFeature, + SuggestTypeFeature + ) + + override def transform(candidate: TweetWithConversationMetadata): FeatureMap = FeatureMapBuilder() + .add(AuthorIdFeature, candidate.userId) + .add(InReplyToTweetIdFeature, candidate.inReplyToTweetId) + .add(IsRetweetFeature, candidate.sourceTweetId.isDefined) + .add(SourceTweetIdFeature, candidate.sourceTweetId) + .add(SourceUserIdFeature, candidate.sourceUserId) + .add(ConversationModuleFocalTweetIdFeature, candidate.conversationId) + .add(AncestorsFeature, candidate.ancestors) + .add(SuggestTypeFeature, Some(SuggestType.RankedOrganicTweet)) + .build() +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/EditedTweetsCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/EditedTweetsCandidatePipelineConfig.scala new file mode 100644 index 000000000..8f824a8ff --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/EditedTweetsCandidatePipelineConfig.scala @@ -0,0 +1,84 @@ +package com.twitter.home_mixer.candidate_pipeline + +import com.twitter.home_mixer.functional_component.candidate_source.StaleTweetsCacheCandidateSource +import com.twitter.home_mixer.functional_component.decorator.HomeFeedbackActionInfoBuilder +import com.twitter.home_mixer.functional_component.feature_hydrator.NamesFeatureHydrator +import com.twitter.home_mixer.functional_component.query_transformer.EditedTweetsCandidatePipelineQueryTransformer +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.contextual_ref.ContextualTweetRefBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.tweet.TweetCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.EmptyClientEventInfoBuilder +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.rtf.safety_level.TimelineFocalTweetSafetyLevel +import com.twitter.product_mixer.core.model.marshalling.response.urt.contextual_ref.TweetHydrationContext +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.pipeline.candidate.DependentCandidatePipelineConfig +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config that fetches edited tweets from the Stale Tweets Cache + */ +@Singleton +case class EditedTweetsCandidatePipelineConfig @Inject() ( + staleTweetsCacheCandidateSource: StaleTweetsCacheCandidateSource, + namesFeatureHydrator: NamesFeatureHydrator, + homeFeedbackActionInfoBuilder: HomeFeedbackActionInfoBuilder) + extends DependentCandidatePipelineConfig[ + PipelineQuery, + Seq[Long], + Long, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = CandidatePipelineIdentifier("EditedTweets") + + override val candidateSource: BaseCandidateSource[Seq[Long], Long] = + staleTweetsCacheCandidateSource + + override val queryTransformer: CandidatePipelineQueryTransformer[ + PipelineQuery, + Seq[Long] + ] = EditedTweetsCandidatePipelineQueryTransformer + + override val resultTransformer: CandidatePipelineResultsTransformer[ + Long, + TweetCandidate + ] = { candidate => TweetCandidate(id = candidate) } + + override val postFilterFeatureHydration: Seq[ + BaseCandidateFeatureHydrator[PipelineQuery, TweetCandidate, _] + ] = Seq(namesFeatureHydrator) + + override val decorator: Option[CandidateDecorator[PipelineQuery, TweetCandidate]] = { + val tweetItemBuilder = TweetCandidateUrtItemBuilder[PipelineQuery, TweetCandidate]( + clientEventInfoBuilder = EmptyClientEventInfoBuilder, + entryIdToReplaceBuilder = Some((_, candidate, _) => + Some(s"${TweetItem.TweetEntryNamespace}-${candidate.id.toString}")), + contextualTweetRefBuilder = Some( + ContextualTweetRefBuilder( + TweetHydrationContext( + // Apply safety level that includes canonical VF treatments that apply regardless of context. + safetyLevelOverride = Some(TimelineFocalTweetSafetyLevel), + outerTweetContext = None + ) + ) + ), + feedbackActionInfoBuilder = Some(homeFeedbackActionInfoBuilder) + ) + + Some(UrtItemCandidateDecorator(tweetItemBuilder)) + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.5, 50, 60, 60) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/NewTweetsPillCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/NewTweetsPillCandidatePipelineConfig.scala new file mode 100644 index 000000000..e1a92b9ca --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/NewTweetsPillCandidatePipelineConfig.scala @@ -0,0 +1,123 @@ +package com.twitter.home_mixer.candidate_pipeline + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.functional_component.gate.RequestContextNotGate +import com.twitter.home_mixer.model.HomeFeatures.GetNewerFeature +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.alert.DurationParamBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.alert.ShowAlertCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.alert.StaticShowAlertColorConfigurationBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.alert.StaticShowAlertDisplayLocationBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.alert.StaticShowAlertIconDisplayInfoBuilder +import com.twitter.product_mixer.component_library.gate.FeatureGate +import com.twitter.product_mixer.component_library.model.candidate.ShowAlertCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.functional_component.candidate_source.StaticCandidateSource +import com.twitter.product_mixer.core.functional_component.configapi.StaticParam +import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.alert.BaseDurationBuilder +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.alert.NewTweets +import com.twitter.product_mixer.core.model.marshalling.response.urt.alert.ShowAlertColorConfiguration +import com.twitter.product_mixer.core.model.marshalling.response.urt.alert.ShowAlertIconDisplayInfo +import com.twitter.product_mixer.core.model.marshalling.response.urt.alert.Top +import com.twitter.product_mixer.core.model.marshalling.response.urt.alert.UpArrow +import com.twitter.product_mixer.core.model.marshalling.response.urt.color.TwitterBlueRosettaColor +import com.twitter.product_mixer.core.model.marshalling.response.urt.color.WhiteRosettaColor +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.pipeline.candidate.DependentCandidatePipelineConfig +import com.twitter.util.Duration +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config that creates the New Tweets Pill + */ +@Singleton +class NewTweetsPillCandidatePipelineConfig[Query <: PipelineQuery with HasDeviceContext] @Inject() ( +) extends DependentCandidatePipelineConfig[ + Query, + Unit, + ShowAlertCandidate, + ShowAlertCandidate + ] { + import NewTweetsPillCandidatePipelineConfig._ + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("NewTweetsPill") + + override val gates: Seq[Gate[Query]] = Seq( + RequestContextNotGate(Seq(DeviceContext.RequestContext.PullToRefresh)), + FeatureGate.fromFeature(GetNewerFeature) + ) + + override val candidateSource: CandidateSource[Unit, ShowAlertCandidate] = + StaticCandidateSource( + CandidateSourceIdentifier(identifier.name), + Seq(ShowAlertCandidate(id = identifier.name, userIds = Seq.empty)) + ) + + override val queryTransformer: CandidatePipelineQueryTransformer[Query, Unit] = { _ => Unit } + + override val resultTransformer: CandidatePipelineResultsTransformer[ + ShowAlertCandidate, + ShowAlertCandidate + ] = { candidate => candidate } + + override val decorator: Option[CandidateDecorator[Query, ShowAlertCandidate]] = { + val triggerDelayBuilder = new BaseDurationBuilder[Query] { + override def apply( + query: Query, + candidate: ShowAlertCandidate, + features: FeatureMap + ): Option[Duration] = { + val delay = query.deviceContext.flatMap(_.requestContextValue) match { + case Some(DeviceContext.RequestContext.TweetSelfThread) => 0.millis + case Some(DeviceContext.RequestContext.ManualRefresh) => 0.millis + case _ => TriggerDelay + } + + Some(delay) + } + } + + val homeShowAlertCandidateBuilder = ShowAlertCandidateUrtItemBuilder( + alertType = NewTweets, + colorConfigBuilder = StaticShowAlertColorConfigurationBuilder(DefaultColorConfig), + displayLocationBuilder = StaticShowAlertDisplayLocationBuilder(Top), + triggerDelayBuilder = Some(triggerDelayBuilder), + displayDurationBuilder = Some(DurationParamBuilder(StaticParam(DisplayDuration))), + iconDisplayInfoBuilder = Some(StaticShowAlertIconDisplayInfoBuilder(DefaultIconDisplayInfo)) + ) + + Some(UrtItemCandidateDecorator(homeShowAlertCandidateBuilder)) + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert() + ) +} + +object NewTweetsPillCandidatePipelineConfig { + val DefaultColorConfig: ShowAlertColorConfiguration = ShowAlertColorConfiguration( + background = TwitterBlueRosettaColor, + text = WhiteRosettaColor, + border = Some(WhiteRosettaColor) + ) + + val DefaultIconDisplayInfo: ShowAlertIconDisplayInfo = + ShowAlertIconDisplayInfo(icon = UpArrow, tint = WhiteRosettaColor) + + // Unlimited display time (until user takes action) + val DisplayDuration = -1.millisecond + val TriggerDelay = 4.minutes +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/TimelineServiceResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/TimelineServiceResponseFeatureTransformer.scala new file mode 100644 index 000000000..3f0a932c9 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline/TimelineServiceResponseFeatureTransformer.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.candidate_pipeline + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.timelineservice.{thriftscala => t} + +object TimelineServiceResponseFeatureTransformer extends CandidateFeatureTransformer[t.Tweet] { + + override val identifier: TransformerIdentifier = TransformerIdentifier("TimelineServiceResponse") + + override val features: Set[Feature[_, _]] = Set( + AuthorIdFeature, + InReplyToTweetIdFeature, + IsRetweetFeature, + SourceTweetIdFeature, + SourceUserIdFeature, + ) + + override def transform(candidate: t.Tweet): FeatureMap = FeatureMapBuilder() + .add(AuthorIdFeature, candidate.userId) + .add(InReplyToTweetIdFeature, candidate.inReplyToStatusId) + .add(IsRetweetFeature, candidate.sourceStatusId.isDefined) + .add(SourceTweetIdFeature, candidate.sourceStatusId) + .add(SourceUserIdFeature, candidate.sourceUserId) + .build() +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/controller/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/controller/BUILD.bazel new file mode 100644 index 000000000..614dc58eb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/controller/BUILD.bazel @@ -0,0 +1,20 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "finatra/thrift/src/main/scala/com/twitter/finatra/thrift:controller", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/controllers", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/debug_query", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/service/urt", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/thrift/com/twitter/context:twitter-context-scala", + "src/thrift/com/twitter/timelines/render:thrift-scala", + "twitter-context/src/main/scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/controller/HomeThriftController.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/controller/HomeThriftController.scala new file mode 100644 index 000000000..fb09b405e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/controller/HomeThriftController.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.controller + +import com.twitter.finatra.thrift.Controller +import com.twitter.home_mixer.marshaller.request.HomeMixerRequestUnmarshaller +import com.twitter.home_mixer.model.request.HomeMixerRequest +import com.twitter.home_mixer.service.ScoredTweetsService +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.controllers.DebugTwitterContext +import com.twitter.product_mixer.core.functional_component.configapi.ParamsBuilder +import com.twitter.product_mixer.core.service.urt.UrtService +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.Params +import javax.inject.Inject + +class HomeThriftController @Inject() ( + homeRequestUnmarshaller: HomeMixerRequestUnmarshaller, + urtService: UrtService, + scoredTweetsService: ScoredTweetsService, + paramsBuilder: ParamsBuilder) + extends Controller(t.HomeMixer) + with DebugTwitterContext { + + handle(t.HomeMixer.GetUrtResponse) { args: t.HomeMixer.GetUrtResponse.Args => + val request = homeRequestUnmarshaller(args.request) + val params = buildParams(request) + Stitch.run(urtService.getUrtResponse[HomeMixerRequest](request, params)) + } + + handle(t.HomeMixer.GetScoredTweetsResponse) { args: t.HomeMixer.GetScoredTweetsResponse.Args => + val request = homeRequestUnmarshaller(args.request) + val params = buildParams(request) + withDebugTwitterContext(request.clientContext) { + Stitch.run(scoredTweetsService.getScoredTweetsResponse[HomeMixerRequest](request, params)) + } + } + + private def buildParams(request: HomeMixerRequest): Params = { + val userAgeOpt = request.clientContext.userId.map { userId => + SnowflakeId.timeFromIdOpt(userId).map(_.untilNow.inDays).getOrElse(Int.MaxValue) + } + val fsCustomMapInput = userAgeOpt.map("account_age_in_days" -> _).toMap + paramsBuilder.build( + clientContext = request.clientContext, + product = request.product, + featureOverrides = request.debugParams.flatMap(_.featureOverrides).getOrElse(Map.empty), + fsCustomMapInput = fsCustomMapInput + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/BUILD.bazel new file mode 100644 index 000000000..706f52e2e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/BUILD.bazel @@ -0,0 +1,22 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "finagle/finagle-memcached/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "src/thrift/com/twitter/hermit/candidate:hermit-candidate-scala", + "src/thrift/com/twitter/search:earlybird-scala", + "stitch/stitch-timelineservice/src/main/scala", + "strato/config/columns/recommendations/similarity:similarity-strato-client", + "strato/src/main/scala/com/twitter/strato/client", + ], + exports = [ + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/EarlybirdCandidateSource.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/EarlybirdCandidateSource.scala new file mode 100644 index 000000000..2ddd05814 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/EarlybirdCandidateSource.scala @@ -0,0 +1,44 @@ +package com.twitter.home_mixer.functional_component.candidate_source + +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSourceWithExtractedFeatures +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidatesWithSourceFeatures +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.search.earlybird.{thriftscala => t} +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +case object EarlybirdResponseTruncatedFeature + extends FeatureWithDefaultOnFailure[t.EarlybirdRequest, Boolean] { + override val defaultValue: Boolean = false +} + +case object EarlybirdBottomTweetFeature + extends FeatureWithDefaultOnFailure[t.EarlybirdRequest, Option[Long]] { + override val defaultValue: Option[Long] = None +} + +@Singleton +case class EarlybirdCandidateSource @Inject() ( + earlybird: t.EarlybirdService.MethodPerEndpoint) + extends CandidateSourceWithExtractedFeatures[t.EarlybirdRequest, t.ThriftSearchResult] { + + override val identifier = CandidateSourceIdentifier("Earlybird") + + override def apply( + request: t.EarlybirdRequest + ): Stitch[CandidatesWithSourceFeatures[t.ThriftSearchResult]] = { + Stitch.callFuture(earlybird.search(request)).map { response => + val candidates = response.searchResults.map(_.results).getOrElse(Seq.empty) + + val features = FeatureMapBuilder() + .add(EarlybirdResponseTruncatedFeature, candidates.size == request.searchQuery.numResults) + .add(EarlybirdBottomTweetFeature, candidates.lastOption.map(_.id)) + .build() + + CandidatesWithSourceFeatures(candidates, features) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/SimilarityBasedUsersCandidateSource.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/SimilarityBasedUsersCandidateSource.scala new file mode 100644 index 000000000..f117e91f9 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/SimilarityBasedUsersCandidateSource.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.functional_component.candidate_source + +import com.twitter.hermit.candidate.{thriftscala => t} +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import com.twitter.strato.client.Fetcher +import com.twitter.strato.generated.client.recommendations.similarity.SimilarUsersBySimsOnUserClientColumn + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SimilarityBasedUsersCandidateSource @Inject() ( + similarUsersBySimsOnUserClientColumn: SimilarUsersBySimsOnUserClientColumn) + extends CandidateSource[Seq[Long], t.Candidate] { + + override val identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier("SimilarityBasedUsers") + + private val fetcher: Fetcher[Long, Unit, t.Candidates] = + similarUsersBySimsOnUserClientColumn.fetcher + + override def apply(request: Seq[Long]): Stitch[Seq[t.Candidate]] = { + Stitch + .collect { + request.map { userId => + fetcher.fetch(userId, Unit).map { result => + result.v.map(_.candidates).getOrElse(Seq.empty) + } + } + }.map(_.flatten) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/StaleTweetsCacheCandidateSource.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/StaleTweetsCacheCandidateSource.scala new file mode 100644 index 000000000..9a346129d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source/StaleTweetsCacheCandidateSource.scala @@ -0,0 +1,30 @@ +package com.twitter.home_mixer.functional_component.candidate_source + +import com.google.inject.name.Named +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.home_mixer.param.HomeMixerInjectionNames.StaleTweetsCache +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class StaleTweetsCacheCandidateSource @Inject() ( + @Named(StaleTweetsCache) staleTweetsCache: MemcachedClient) + extends CandidateSource[Seq[Long], Long] { + + override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier("StaleTweetsCache") + + private val StaleTweetsCacheKeyPrefix = "v1_" + + override def apply(request: Seq[Long]): Stitch[Seq[Long]] = { + val keys = request.map(StaleTweetsCacheKeyPrefix + _) + + Stitch.callFuture(staleTweetsCache.get(keys).map { tweets => + tweets.map { + case (k, _) => k.replaceFirst(StaleTweetsCacheKeyPrefix, "").toLong + }.toSeq + }) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/AuthorChildFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/AuthorChildFeedbackActionBuilder.scala new file mode 100644 index 000000000..712d85360 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/AuthorChildFeedbackActionBuilder.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.ScreenNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ChildFeedbackAction +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import com.twitter.timelines.service.{thriftscala => t} + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class AuthorChildFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings) { + + def apply(candidateFeatures: FeatureMap): Option[ChildFeedbackAction] = { + CandidatesUtil.getOriginalAuthorId(candidateFeatures).flatMap { authorId => + FeedbackUtil.buildUserSeeFewerChildFeedbackAction( + userId = authorId, + namesByUserId = candidateFeatures.getOrElse(ScreenNamesFeature, Map.empty[Long, String]), + promptExternalString = externalStrings.showFewerTweetsString, + confirmationExternalString = externalStrings.showFewerTweetsConfirmationString, + engagementType = t.FeedbackEngagementType.Tweet, + stringCenter = stringCenter, + injectionType = candidateFeatures.getOrElse(SuggestTypeFeature, None) + ) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/BUILD.bazel new file mode 100644 index 000000000..3ba2d22ae --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/BUILD.bazel @@ -0,0 +1,32 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "finagle/finagle-core/src/main", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "joinkey/src/main/scala/com/twitter/joinkey/context", + "joinkey/src/main/thrift/com/twitter/joinkey/context:joinkey-context-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "src/scala/com/twitter/suggests/controller_data", + "src/thrift/com/twitter/suggests/controller_data:controller_data-scala", + "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", + "src/thrift/com/twitter/timelineservice/server/suggests/logging:thrift-scala", + "stringcenter/client", + "stringcenter/client/src/main/java", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/model/candidate", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/translation", + "timelines/src/main/scala/com/twitter/timelines/injection/scribe", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/BlockUserChildFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/BlockUserChildFeedbackActionBuilder.scala new file mode 100644 index 000000000..2535b24b2 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/BlockUserChildFeedbackActionBuilder.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.ScreenNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.icon +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.BottomSheet +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ChildFeedbackAction +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichBehavior +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichFeedbackBehaviorBlockUser +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class BlockUserChildFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings) { + + def apply(candidateFeatures: FeatureMap): Option[ChildFeedbackAction] = { + val userIdOpt = + if (candidateFeatures.getOrElse(IsRetweetFeature, false)) + candidateFeatures.getOrElse(SourceUserIdFeature, None) + else candidateFeatures.getOrElse(AuthorIdFeature, None) + + userIdOpt.flatMap { userId => + val screenNamesMap = candidateFeatures.getOrElse(ScreenNamesFeature, Map.empty[Long, String]) + val userScreenNameOpt = screenNamesMap.get(userId) + userScreenNameOpt.map { userScreenName => + val prompt = stringCenter.prepare( + externalStrings.blockUserString, + Map("username" -> userScreenName) + ) + ChildFeedbackAction( + feedbackType = RichBehavior, + prompt = Some(prompt), + confirmation = None, + feedbackUrl = None, + hasUndoAction = Some(true), + confirmationDisplayType = Some(BottomSheet), + clientEventInfo = None, + icon = Some(icon.No), + richBehavior = Some(RichFeedbackBehaviorBlockUser(userId)), + subprompt = None + ) + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/DontLikeFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/DontLikeFeedbackActionBuilder.scala new file mode 100644 index 000000000..344ce668d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/DontLikeFeedbackActionBuilder.scala @@ -0,0 +1,88 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.param.HomeGlobalParams.EnableNahFeedbackInfoParam +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.icon.Frown +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.DontLike +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FeedbackAction +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import com.twitter.timelines.common.{thriftscala => tlc} +import com.twitter.timelineservice.model.FeedbackInfo +import com.twitter.timelineservice.model.FeedbackMetadata +import com.twitter.timelineservice.{thriftscala => tls} + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class DontLikeFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings, + authorChildFeedbackActionBuilder: AuthorChildFeedbackActionBuilder, + retweeterChildFeedbackActionBuilder: RetweeterChildFeedbackActionBuilder, + notRelevantChildFeedbackActionBuilder: NotRelevantChildFeedbackActionBuilder, + unfollowUserChildFeedbackActionBuilder: UnfollowUserChildFeedbackActionBuilder, + muteUserChildFeedbackActionBuilder: MuteUserChildFeedbackActionBuilder, + blockUserChildFeedbackActionBuilder: BlockUserChildFeedbackActionBuilder, + reportTweetChildFeedbackActionBuilder: ReportTweetChildFeedbackActionBuilder) { + + def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[FeedbackAction] = { + CandidatesUtil.getOriginalAuthorId(candidateFeatures).map { authorId => + val feedbackEntities = Seq( + tlc.FeedbackEntity.TweetId(candidate.id), + tlc.FeedbackEntity.UserId(authorId) + ) + val feedbackMetadata = FeedbackMetadata( + engagementType = None, + entityIds = feedbackEntities, + ttl = Some(30.days) + ) + val feedbackUrl = FeedbackInfo.feedbackUrl( + feedbackType = tls.FeedbackType.DontLike, + feedbackMetadata = feedbackMetadata, + injectionType = candidateFeatures.getOrElse(SuggestTypeFeature, None) + ) + val childFeedbackActions = if (query.params(EnableNahFeedbackInfoParam)) { + Seq( + unfollowUserChildFeedbackActionBuilder(candidateFeatures), + muteUserChildFeedbackActionBuilder(candidateFeatures), + blockUserChildFeedbackActionBuilder(candidateFeatures), + reportTweetChildFeedbackActionBuilder(candidate) + ).flatten + } else { + Seq( + authorChildFeedbackActionBuilder(candidateFeatures), + retweeterChildFeedbackActionBuilder(candidateFeatures), + notRelevantChildFeedbackActionBuilder(candidate, candidateFeatures) + ).flatten + } + + FeedbackAction( + feedbackType = DontLike, + prompt = Some(stringCenter.prepare(externalStrings.dontLikeString)), + confirmation = Some(stringCenter.prepare(externalStrings.dontLikeConfirmationString)), + childFeedbackActions = + if (childFeedbackActions.nonEmpty) Some(childFeedbackActions) else None, + feedbackUrl = Some(feedbackUrl), + hasUndoAction = Some(true), + confirmationDisplayType = None, + clientEventInfo = None, + icon = Some(Frown), + richBehavior = None, + subprompt = None, + encodedFeedbackRequest = None + ) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/EngagerSocialContextBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/EngagerSocialContextBuilder.scala new file mode 100644 index 000000000..5e9f40560 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/EngagerSocialContextBuilder.scala @@ -0,0 +1,119 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.RealNamesFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata._ +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stringcenter.client.StringCenter +import com.twitter.stringcenter.client.core.ExternalString + +private[decorator] case class SocialContextIdAndScreenName( + socialContextId: Long, + screenName: String) + +object EngagerSocialContextBuilder { + private val UserIdRequestParamName = "user_id" + private val DirectInjectionContentSourceRequestParamName = "dis" + private val DirectInjectionIdRequestParamName = "diid" + private val DirectInjectionContentSourceSocialProofUsers = "socialproofusers" + private val SocialProofUrl = "" +} + +case class EngagerSocialContextBuilder( + contextType: GeneralContextType, + stringCenter: StringCenter, + oneUserString: ExternalString, + twoUsersString: ExternalString, + moreUsersString: ExternalString, + timelineTitle: ExternalString) { + import EngagerSocialContextBuilder._ + + def apply( + socialContextIds: Seq[Long], + query: PipelineQuery, + candidateFeatures: FeatureMap + ): Option[SocialContext] = { + val realNames = candidateFeatures.getOrElse(RealNamesFeature, Map.empty[Long, String]) + val validSocialContextIdAndScreenNames = socialContextIds.flatMap { socialContextId => + realNames + .get(socialContextId).map(screenName => + SocialContextIdAndScreenName(socialContextId, screenName)) + } + + validSocialContextIdAndScreenNames match { + case Seq(user) => + val socialContextString = + stringCenter.prepare(oneUserString, Map("user" -> user.screenName)) + Some(mkOneUserSocialContext(socialContextString, user.socialContextId)) + case Seq(firstUser, secondUser) => + val socialContextString = + stringCenter + .prepare( + twoUsersString, + Map("user1" -> firstUser.screenName, "user2" -> secondUser.screenName)) + Some( + mkManyUserSocialContext( + socialContextString, + query.getRequiredUserId, + validSocialContextIdAndScreenNames.map(_.socialContextId))) + + case firstUser +: otherUsers => + val otherUsersCount = otherUsers.size + val socialContextString = + stringCenter + .prepare( + moreUsersString, + Map("user" -> firstUser.screenName, "count" -> otherUsersCount)) + Some( + mkManyUserSocialContext( + socialContextString, + query.getRequiredUserId, + validSocialContextIdAndScreenNames.map(_.socialContextId))) + case _ => None + } + } + + private def mkOneUserSocialContext(socialContextString: String, userId: Long): GeneralContext = { + GeneralContext( + contextType = contextType, + text = socialContextString, + url = None, + contextImageUrls = None, + landingUrl = Some( + Url( + urlType = DeepLink, + url = "", + urtEndpointOptions = None + ) + ) + ) + } + + private def mkManyUserSocialContext( + socialContextString: String, + viewerId: Long, + socialContextIds: Seq[Long] + ): GeneralContext = { + GeneralContext( + contextType = contextType, + text = socialContextString, + url = None, + contextImageUrls = None, + landingUrl = Some( + Url( + urlType = UrtEndpoint, + url = SocialProofUrl, + urtEndpointOptions = Some(UrtEndpointOptions( + requestParams = Some(Map( + UserIdRequestParamName -> viewerId.toString, + DirectInjectionContentSourceRequestParamName -> DirectInjectionContentSourceSocialProofUsers, + DirectInjectionIdRequestParamName -> socialContextIds.mkString(",") + )), + title = Some(stringCenter.prepare(timelineTitle)), + cacheId = None, + subtitle = None + )) + )) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ExtendedReplySocialContextBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ExtendedReplySocialContextBuilder.scala new file mode 100644 index 000000000..88ffa1cd1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ExtendedReplySocialContextBuilder.scala @@ -0,0 +1,78 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.FocalTweetAuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FocalTweetInNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.FocalTweetRealNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.SocialContext +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata._ +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +/** + * Use '@A replied' when the root tweet is out-of-network and the reply is in network. + * + * This function should only be called for the root Tweet of convo modules. This is enforced by + * [[HomeTweetSocialContextBuilder]]. + */ +@Singleton +case class ExtendedReplySocialContextBuilder @Inject() ( + externalStrings: HomeMixerExternalStrings, + @ProductScoped stringCenterProvider: Provider[StringCenter]) + extends BaseSocialContextBuilder[PipelineQuery, TweetCandidate] { + + private val stringCenter = stringCenterProvider.get() + private val extendedReplyString = externalStrings.socialContextExtendedReply + + def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[SocialContext] = { + + // If these values are missing default to not showing an extended reply banner + val inNetworkRoot = candidateFeatures.getOrElse(InNetworkFeature, true) + + val inNetworkFocalTweet = + candidateFeatures.getOrElse(FocalTweetInNetworkFeature, None).getOrElse(false) + + if (!inNetworkRoot && inNetworkFocalTweet) { + + val focalTweetAuthorIdOpt = candidateFeatures.getOrElse(FocalTweetAuthorIdFeature, None) + val focalTweetRealNames = + candidateFeatures + .getOrElse(FocalTweetRealNamesFeature, None).getOrElse(Map.empty[Long, String]) + val focalTweetAuthorNameOpt = focalTweetAuthorIdOpt.flatMap(focalTweetRealNames.get) + + (focalTweetAuthorIdOpt, focalTweetAuthorNameOpt) match { + case (Some(focalTweetAuthorId), Some(focalTweetAuthorName)) => + Some( + GeneralContext( + contextType = ConversationGeneralContextType, + text = stringCenter + .prepare(extendedReplyString, placeholders = Map("user1" -> focalTweetAuthorName)), + url = None, + contextImageUrls = None, + landingUrl = Some( + Url( + urlType = DeepLink, + url = "", + urtEndpointOptions = None + )) + )) + case _ => + None + } + } else { + None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/FeedbackUtil.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/FeedbackUtil.scala new file mode 100644 index 000000000..49e24d0b4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/FeedbackUtil.scala @@ -0,0 +1,61 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.conversions.DurationOps._ +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ChildFeedbackAction +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.SeeFewer +import com.twitter.stringcenter.client.StringCenter +import com.twitter.stringcenter.client.core.ExternalString +import com.twitter.timelines.common.{thriftscala => tlc} +import com.twitter.timelines.service.{thriftscala => t} +import com.twitter.timelineservice.model.FeedbackInfo +import com.twitter.timelineservice.model.FeedbackMetadata +import com.twitter.timelineservice.suggests.{thriftscala => st} +import com.twitter.timelineservice.{thriftscala => tlst} + +object FeedbackUtil { + + val FeedbackTtl = 30.days + + def buildUserSeeFewerChildFeedbackAction( + userId: Long, + namesByUserId: Map[Long, String], + promptExternalString: ExternalString, + confirmationExternalString: ExternalString, + engagementType: t.FeedbackEngagementType, + stringCenter: StringCenter, + injectionType: Option[st.SuggestType] + ): Option[ChildFeedbackAction] = { + namesByUserId.get(userId).map { userScreenName => + val prompt = stringCenter.prepare( + promptExternalString, + Map("user" -> userScreenName) + ) + val confirmation = stringCenter.prepare( + confirmationExternalString, + Map("user" -> userScreenName) + ) + val feedbackMetadata = FeedbackMetadata( + engagementType = Some(engagementType), + entityIds = Seq(tlc.FeedbackEntity.UserId(userId)), + ttl = Some(FeedbackTtl)) + val feedbackUrl = FeedbackInfo.feedbackUrl( + feedbackType = tlst.FeedbackType.SeeFewer, + feedbackMetadata = feedbackMetadata, + injectionType = injectionType + ) + + ChildFeedbackAction( + feedbackType = SeeFewer, + prompt = Some(prompt), + confirmation = Some(confirmation), + feedbackUrl = Some(feedbackUrl), + hasUndoAction = Some(true), + confirmationDisplayType = None, + clientEventInfo = None, + icon = None, + richBehavior = None, + subprompt = None + ) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/FollowedBySocialContextBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/FollowedBySocialContextBuilder.scala new file mode 100644 index 000000000..0b4882c21 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/FollowedBySocialContextBuilder.scala @@ -0,0 +1,53 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidFollowedByUserIdsFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata._ +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +@Singleton +case class FollowedBySocialContextBuilder @Inject() ( + externalStrings: HomeMixerExternalStrings, + @ProductScoped stringCenterProvider: Provider[StringCenter]) + extends BaseSocialContextBuilder[PipelineQuery, TweetCandidate] { + + private val stringCenter = stringCenterProvider.get() + + private val engagerSocialContextBuilder = EngagerSocialContextBuilder( + contextType = FollowGeneralContextType, + stringCenter = stringCenter, + oneUserString = externalStrings.socialContextOneUserFollowsString, + twoUsersString = externalStrings.socialContextTwoUsersFollowString, + moreUsersString = externalStrings.socialContextMoreUsersFollowString, + timelineTitle = externalStrings.socialContextFollowedByTimelineTitle + ) + + def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[SocialContext] = { + // Only apply followed-by social context for OON Tweets + val inNetwork = candidateFeatures.getOrElse(InNetworkFeature, true) + if (!inNetwork) { + val validFollowedByUserIds = + candidateFeatures.getOrElse(SGSValidFollowedByUserIdsFeature, Nil) + engagerSocialContextBuilder( + socialContextIds = validFollowedByUserIds, + query = query, + candidateFeatures = candidateFeatures + ) + } else { + None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeAdsClientEventDetailsBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeAdsClientEventDetailsBuilder.scala new file mode 100644 index 000000000..c81223a53 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeAdsClientEventDetailsBuilder.scala @@ -0,0 +1,46 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.finagle.tracing.Trace +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventDetailsBuilder +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ClientEventDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.TimelinesDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.suggests.controller_data.home_tweets.v1.{thriftscala => v1ht} +import com.twitter.suggests.controller_data.home_tweets.{thriftscala => ht} +import com.twitter.suggests.controller_data.thriftscala.ControllerData +import com.twitter.suggests.controller_data.v2.thriftscala.{ControllerData => ControllerDataV2} + +case class HomeAdsClientEventDetailsBuilder(injectionType: Option[String]) + extends BaseClientEventDetailsBuilder[PipelineQuery, UniversalNoun[Any]] { + + override def apply( + query: PipelineQuery, + candidate: UniversalNoun[Any], + candidateFeatures: FeatureMap + ): Option[ClientEventDetails] = { + val homeTweetsControllerDataV1 = v1ht.HomeTweetsControllerData( + tweetTypesBitmap = 0L, + traceId = Some(Trace.id.traceId.toLong), + requestJoinId = None) + + val serializedControllerData = HomeClientEventDetailsBuilder.ControllerDataSerializer( + ControllerData.V2( + ControllerDataV2.HomeTweets(ht.HomeTweetsControllerData.V1(homeTweetsControllerDataV1)))) + + val clientEventDetails = ClientEventDetails( + conversationDetails = None, + timelinesDetails = Some( + TimelinesDetails( + injectionType = injectionType, + controllerData = Some(serializedControllerData), + sourceData = None)), + articleDetails = None, + liveEventDetails = None, + commerceDetails = None + ) + + Some(clientEventDetails) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeClientEventDetailsBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeClientEventDetailsBuilder.scala new file mode 100644 index 000000000..801ac0f84 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeClientEventDetailsBuilder.scala @@ -0,0 +1,92 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.bijection.Base64String +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.bijection.{Injection => Serializer} +import com.twitter.finagle.tracing.Trace +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.PositionFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.joinkey.context.RequestJoinKeyContext +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventDetailsBuilder +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ClientEventDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.TimelinesDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.suggests.controller_data.Home +import com.twitter.suggests.controller_data.TweetTypeGenerator +import com.twitter.suggests.controller_data.home_tweets.v1.{thriftscala => v1ht} +import com.twitter.suggests.controller_data.home_tweets.{thriftscala => ht} +import com.twitter.suggests.controller_data.thriftscala.ControllerData +import com.twitter.suggests.controller_data.v2.thriftscala.{ControllerData => ControllerDataV2} + +object HomeClientEventDetailsBuilder { + implicit val ByteSerializer: Serializer[ControllerData, Array[Byte]] = + BinaryScalaCodec(ControllerData) + + val ControllerDataSerializer: Serializer[ControllerData, String] = + Serializer.connect[ControllerData, Array[Byte], Base64String, String] + + /** + * define getRequestJoinId as a method(def) rather than a val because each new request + * needs to call the context to update the id. + */ + private def getRequestJoinId(): Option[Long] = + RequestJoinKeyContext.current.flatMap(_.requestJoinId) +} + +case class HomeClientEventDetailsBuilder[-Query <: PipelineQuery, -Candidate <: UniversalNoun[Any]]( +) extends BaseClientEventDetailsBuilder[Query, Candidate] + with TweetTypeGenerator[FeatureMap] { + + import HomeClientEventDetailsBuilder._ + + override def apply( + query: Query, + candidate: Candidate, + candidateFeatures: FeatureMap + ): Option[ClientEventDetails] = { + + val tweetTypesBitmaps = mkTweetTypesBitmaps( + Home.TweetTypeIdxMap, + HomeTweetTypePredicates.PredicateMap, + candidateFeatures) + + val tweetTypesListBytes = mkItemTypesBitmapsV2( + Home.TweetTypeIdxMap, + HomeTweetTypePredicates.PredicateMap, + candidateFeatures) + + val candidateSourceId = + candidateFeatures.getOrElse(CandidateSourceIdFeature, None).map(_.value.toByte) + + val homeTweetsControllerDataV1 = v1ht.HomeTweetsControllerData( + tweetTypesBitmap = tweetTypesBitmaps.getOrElse(0, 0L), + tweetTypesBitmapContinued1 = tweetTypesBitmaps.get(1), + candidateTweetSourceId = candidateSourceId, + traceId = Some(Trace.id.traceId.toLong), + injectedPosition = candidateFeatures.getOrElse(PositionFeature, None), + tweetTypesListBytes = Some(tweetTypesListBytes), + requestJoinId = getRequestJoinId(), + ) + + val serializedControllerData = ControllerDataSerializer( + ControllerData.V2( + ControllerDataV2.HomeTweets(ht.HomeTweetsControllerData.V1(homeTweetsControllerDataV1)))) + + val clientEventDetails = ClientEventDetails( + conversationDetails = None, + timelinesDetails = Some( + TimelinesDetails( + injectionType = candidateFeatures.getOrElse(SuggestTypeFeature, None).map(_.name), + controllerData = Some(serializedControllerData), + sourceData = None)), + articleDetails = None, + liveEventDetails = None, + commerceDetails = None + ) + + Some(clientEventDetails) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeConversationServiceCandidateDecorator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeConversationServiceCandidateDecorator.scala new file mode 100644 index 000000000..9a94f1c3b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeConversationServiceCandidateDecorator.scala @@ -0,0 +1,49 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.functional_component.decorator.builder.HomeConversationModuleMetadataBuilder +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleFocalTweetIdFeature +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.UrtMultipleModulesDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.tweet.TweetCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.ClientEventInfoBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.StaticModuleDisplayTypeBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.TimelineModuleBuilder +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.model.marshalling.response.urt.EntryNamespace +import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.VerticalConversation +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.injection.scribe.InjectionScribeUtil +import com.twitter.timelineservice.suggests.{thriftscala => st} + +object HomeConversationServiceCandidateDecorator { + + private val ConversationModuleNamespace = EntryNamespace("home-conversation") + + def apply( + homeFeedbackActionInfoBuilder: HomeFeedbackActionInfoBuilder + ): Some[UrtMultipleModulesDecorator[PipelineQuery, TweetCandidate, Long]] = { + val suggestType = st.SuggestType.RankedOrganicTweet + val component = InjectionScribeUtil.scribeComponent(suggestType).get + val clientEventInfoBuilder = ClientEventInfoBuilder(component) + val tweetItemBuilder = TweetCandidateUrtItemBuilder( + clientEventInfoBuilder = clientEventInfoBuilder, + timelinesScoreInfoBuilder = Some(HomeTimelinesScoreInfoBuilder), + feedbackActionInfoBuilder = Some(homeFeedbackActionInfoBuilder) + ) + + val moduleBuilder = TimelineModuleBuilder( + entryNamespace = ConversationModuleNamespace, + clientEventInfoBuilder = clientEventInfoBuilder, + displayTypeBuilder = StaticModuleDisplayTypeBuilder(VerticalConversation), + metadataBuilder = Some(HomeConversationModuleMetadataBuilder()) + ) + + Some( + UrtMultipleModulesDecorator( + urtItemCandidateDecorator = UrtItemCandidateDecorator(tweetItemBuilder), + moduleBuilder = moduleBuilder, + groupByKey = (_, _, candidateFeatures) => + candidateFeatures.getOrElse(ConversationModuleFocalTweetIdFeature, None) + )) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeFeedbackActionInfoBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeFeedbackActionInfoBuilder.scala new file mode 100644 index 000000000..032874ead --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeFeedbackActionInfoBuilder.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.param.HomeGlobalParams.EnableNahFeedbackInfoParam +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FeedbackActionInfo +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.service.{thriftscala => t} +import com.twitter.timelines.util.FeedbackMetadataSerializer + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeFeedbackActionInfoBuilder @Inject() ( + notInterestedTopicFeedbackActionBuilder: NotInterestedTopicFeedbackActionBuilder, + dontLikeFeedbackActionBuilder: DontLikeFeedbackActionBuilder) + extends BaseFeedbackActionInfoBuilder[PipelineQuery, TweetCandidate] { + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[FeedbackActionInfo] = { + val supportedProduct = query.product match { + case FollowingProduct => query.params(EnableNahFeedbackInfoParam) + case ForYouProduct => true + case _ => false + } + val isAuthoredByViewer = CandidatesUtil.isAuthoredByViewer(query, candidateFeatures) + + if (supportedProduct && !isAuthoredByViewer) { + val feedbackActions = Seq( + notInterestedTopicFeedbackActionBuilder(candidateFeatures), + dontLikeFeedbackActionBuilder(query, candidate, candidateFeatures) + ).flatten + val feedbackMetadata = FeedbackMetadataSerializer.serialize( + t.FeedbackMetadata(injectionType = candidateFeatures.getOrElse(SuggestTypeFeature, None))) + + Some( + FeedbackActionInfo( + feedbackActions = feedbackActions, + feedbackMetadata = Some(feedbackMetadata), + displayContext = None, + clientEventInfo = None + )) + } else None + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeQueryTypePredicates.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeQueryTypePredicates.scala new file mode 100644 index 000000000..a79543269 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeQueryTypePredicates.scala @@ -0,0 +1,18 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap + +object HomeQueryTypePredicates { + private[this] val QueryPredicates: Seq[(String, FeatureMap => Boolean)] = Seq( + ("request", _ => true), + ("get_initial", _.getOrElse(GetInitialFeature, false)), + ("get_newer", _.getOrElse(GetNewerFeature, false)), + ("get_older", _.getOrElse(GetOlderFeature, false)), + ("pull_to_refresh", _.getOrElse(PullToRefreshFeature, false)), + ("request_context_launch", _.getOrElse(IsLaunchRequestFeature, false)), + ("request_context_foreground", _.getOrElse(IsForegroundRequestFeature, false)) + ) + + val PredicateMap = QueryPredicates.toMap +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTimelinesScoreInfoBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTimelinesScoreInfoBuilder.scala new file mode 100644 index 000000000..bc072ec34 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTimelinesScoreInfoBuilder.scala @@ -0,0 +1,26 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.param.HomeGlobalParams.EnableSendScoresToClient +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.tweet.BaseTimelinesScoreInfoBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TimelinesScoreInfo +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +object HomeTimelinesScoreInfoBuilder + extends BaseTimelinesScoreInfoBuilder[PipelineQuery, TweetCandidate] { + + private val UndefinedTweetScore = -1.0 + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[TimelinesScoreInfo] = { + if (query.params(EnableSendScoresToClient)) { + val score = candidateFeatures.getOrElse(ScoreFeature, None).getOrElse(UndefinedTweetScore) + Some(TimelinesScoreInfo(score)) + } else None + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetSocialContextBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetSocialContextBuilder.scala new file mode 100644 index 000000000..4f3e03f6d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetSocialContextBuilder.scala @@ -0,0 +1,44 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleFocalTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleIdFeature +import com.twitter.home_mixer.param.HomeGlobalParams.EnableSocialContextParam +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.SocialContext +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class HomeTweetSocialContextBuilder @Inject() ( + likedBySocialContextBuilder: LikedBySocialContextBuilder, + followedBySocialContextBuilder: FollowedBySocialContextBuilder, + topicSocialContextBuilder: TopicSocialContextBuilder, + extendedReplySocialContextBuilder: ExtendedReplySocialContextBuilder, + receivedReplySocialContextBuilder: ReceivedReplySocialContextBuilder) + extends BaseSocialContextBuilder[PipelineQuery, TweetCandidate] { + + def apply( + query: PipelineQuery, + candidate: TweetCandidate, + features: FeatureMap + ): Option[SocialContext] = { + if (query.params(EnableSocialContextParam)) { + features.getOrElse(ConversationModuleFocalTweetIdFeature, None) match { + case None => + likedBySocialContextBuilder(query, candidate, features) + .orElse(followedBySocialContextBuilder(query, candidate, features)) + .orElse(topicSocialContextBuilder(query, candidate, features)) + case Some(_) => + val conversationId = features.getOrElse(ConversationModuleIdFeature, None) + // Only hydrate the social context into the root tweet in a conversation module + if (conversationId.contains(candidate.id)) { + extendedReplySocialContextBuilder(query, candidate, features) + .orElse(receivedReplySocialContextBuilder(query, candidate, features)) + } else None + } + } else None + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetTypePredicates.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetTypePredicates.scala new file mode 100644 index 000000000..546cd13e9 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetTypePredicates.scala @@ -0,0 +1,250 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.timelinemixer.injection.model.candidate.SemanticCoreFeatures +import com.twitter.tweetypie.{thriftscala => tpt} + +object HomeTweetTypePredicates { + + /** + * IMPORTANT: Please avoid logging tweet types that are tied to sensitive + * internal author information / labels (e.g. blink labels, abuse labels, or geo-location). + */ + private[this] val CandidatePredicates: Seq[(String, FeatureMap => Boolean)] = Seq( + ("with_candidate", _ => true), + ("retweet", _.getOrElse(IsRetweetFeature, false)), + ("reply", _.getOrElse(InReplyToTweetIdFeature, None).nonEmpty), + ("image", _.getOrElse(EarlybirdFeature, None).exists(_.hasImage)), + ("video", _.getOrElse(EarlybirdFeature, None).exists(_.hasVideo)), + ("link", _.getOrElse(EarlybirdFeature, None).exists(_.hasVisibleLink)), + ("quote", _.getOrElse(EarlybirdFeature, None).exists(_.hasQuote.contains(true))), + ("like_social_context", _.getOrElse(NonSelfFavoritedByUserIdsFeature, Seq.empty).nonEmpty), + ("protected", _.getOrElse(EarlybirdFeature, None).exists(_.isProtected)), + ( + "has_exclusive_conversation_author_id", + _.getOrElse(ExclusiveConversationAuthorIdFeature, None).nonEmpty), + ("is_eligible_for_connect_boost", _.getOrElse(AuthorIsEligibleForConnectBoostFeature, false)), + ("hashtag", _.getOrElse(EarlybirdFeature, None).exists(_.numHashtags > 0)), + ("has_scheduled_space", _.getOrElse(AudioSpaceMetaDataFeature, None).exists(_.isScheduled)), + ("has_recorded_space", _.getOrElse(AudioSpaceMetaDataFeature, None).exists(_.isRecorded)), + ("is_read_from_cache", _.getOrElse(IsReadFromCacheFeature, false)), + ( + "is_self_thread_tweet", + _.getOrElse(ConversationFeature, None).exists(_.isSelfThreadTweet.contains(true))), + ("get_initial", _.getOrElse(GetInitialFeature, false)), + ("get_newer", _.getOrElse(GetNewerFeature, false)), + ("get_middle", _.getOrElse(GetMiddleFeature, false)), + ("get_older", _.getOrElse(GetOlderFeature, false)), + ("pull_to_refresh", _.getOrElse(PullToRefreshFeature, false)), + ("polling", _.getOrElse(PollingFeature, false)), + ("tls_size_20_plus", _ => false), + ("near_empty", _ => false), + ("ranked_request", _ => false), + ("mutual_follow", _.getOrElse(EarlybirdFeature, None).exists(_.fromMutualFollow)), + ("has_ticketed_space", _.getOrElse(AudioSpaceMetaDataFeature, None).exists(_.hasTickets)), + ("in_utis_top5", _.getOrElse(PositionFeature, None).exists(_ < 5)), + ("is_utis_pos0", _.getOrElse(PositionFeature, None).exists(_ == 0)), + ("is_utis_pos1", _.getOrElse(PositionFeature, None).exists(_ == 1)), + ("is_utis_pos2", _.getOrElse(PositionFeature, None).exists(_ == 2)), + ("is_utis_pos3", _.getOrElse(PositionFeature, None).exists(_ == 3)), + ("is_utis_pos4", _.getOrElse(PositionFeature, None).exists(_ == 4)), + ( + "is_signup_request", + candidate => candidate.getOrElse(AccountAgeFeature, None).exists(_.untilNow < 30.minutes)), + ("empty_request", _ => false), + ("served_size_less_than_5", _.getOrElse(ServedSizeFeature, None).exists(_ < 5)), + ("served_size_less_than_10", _.getOrElse(ServedSizeFeature, None).exists(_ < 10)), + ("served_size_less_than_20", _.getOrElse(ServedSizeFeature, None).exists(_ < 20)), + ("served_size_less_than_50", _.getOrElse(ServedSizeFeature, None).exists(_ < 50)), + ( + "served_size_between_50_and_100", + _.getOrElse(ServedSizeFeature, None).exists(size => size >= 50 && size < 100)), + ("authored_by_contextual_user", _.getOrElse(AuthoredByContextualUserFeature, false)), + ("has_ancestors", _.getOrElse(AncestorsFeature, Seq.empty).nonEmpty), + ("full_scoring_succeeded", _.getOrElse(FullScoringSucceededFeature, false)), + ( + "account_age_less_than_30_minutes", + _.getOrElse(AccountAgeFeature, None).exists(_.untilNow < 30.minutes)), + ( + "account_age_less_than_1_day", + _.getOrElse(AccountAgeFeature, None).exists(_.untilNow < 1.day)), + ( + "account_age_less_than_7_days", + _.getOrElse(AccountAgeFeature, None).exists(_.untilNow < 7.days)), + ( + "directed_at_user_is_in_first_degree", + _.getOrElse(EarlybirdFeature, None).exists(_.directedAtUserIdIsInFirstDegree.contains(true))), + ("root_user_is_in_first_degree", _ => false), + ( + "has_semantic_core_annotation", + _.getOrElse(EarlybirdFeature, None).exists(_.semanticCoreAnnotations.nonEmpty)), + ("is_request_context_foreground", _.getOrElse(IsForegroundRequestFeature, false)), + ( + "part_of_utt", + _.getOrElse(EarlybirdFeature, None) + .exists(_.semanticCoreAnnotations.exists(_.exists(annotation => + annotation.domainId == SemanticCoreFeatures.UnifiedTwitterTaxonomy)))), + ("is_random_tweet", _.getOrElse(IsRandomTweetFeature, false)), + ("has_random_tweet_in_response", _.getOrElse(HasRandomTweetFeature, false)), + ("is_random_tweet_above_in_utis", _.getOrElse(IsRandomTweetAboveFeature, false)), + ("is_request_context_launch", _.getOrElse(IsLaunchRequestFeature, false)), + ("viewer_is_employee", _ => false), + ("viewer_is_timelines_employee", _ => false), + ("viewer_follows_any_topics", _.getOrElse(UserFollowedTopicsCountFeature, None).exists(_ > 0)), + ( + "has_ancestor_authored_by_viewer", + candidate => + candidate + .getOrElse(AncestorsFeature, Seq.empty).exists(ancestor => + candidate.getOrElse(ViewerIdFeature, 0L) == ancestor.userId)), + ("ancestor", _.getOrElse(IsAncestorCandidateFeature, false)), + ( + "root_ancestor", + candidate => + candidate.getOrElse(IsAncestorCandidateFeature, false) && candidate + .getOrElse(InReplyToTweetIdFeature, None).isEmpty), + ( + "deep_reply", + candidate => + candidate.getOrElse(InReplyToTweetIdFeature, None).nonEmpty && candidate + .getOrElse(AncestorsFeature, Seq.empty).size > 2), + ( + "has_simcluster_embeddings", + _.getOrElse( + SimclustersTweetTopKClustersWithScoresFeature, + Map.empty[String, Double]).nonEmpty), + ( + "tweet_age_less_than_15_seconds", + _.getOrElse(OriginalTweetCreationTimeFromSnowflakeFeature, None) + .exists(_.untilNow <= 15.seconds)), + ("is_followed_topic_tweet", _ => false), + ("is_recommended_topic_tweet", _ => false), + ("is_topic_tweet", _ => false), + ("preferred_language_matches_tweet_language", _ => false), + ( + "device_language_matches_tweet_language", + candidate => + candidate.getOrElse(TweetLanguageFeature, None) == + candidate.getOrElse(DeviceLanguageFeature, None)), + ("question", _.getOrElse(EarlybirdFeature, None).exists(_.hasQuestion.contains(true))), + ("in_network", _.getOrElse(FromInNetworkSourceFeature, true)), + ("viewer_follows_original_author", _ => false), + ("has_account_follow_prompt", _ => false), + ("has_relevance_prompt", _ => false), + ("has_topic_annotation_haug_prompt", _ => false), + ("has_topic_annotation_random_precision_prompt", _ => false), + ("has_topic_annotation_prompt", _ => false), + ( + "has_political_annotation", + _.getOrElse(EarlybirdFeature, None).exists( + _.semanticCoreAnnotations.exists( + _.exists(annotation => + SemanticCoreFeatures.PoliticalDomains.contains(annotation.domainId) || + (annotation.domainId == SemanticCoreFeatures.UnifiedTwitterTaxonomy && + annotation.entityId == SemanticCoreFeatures.UttPoliticsEntityId))))), + ( + "is_dont_at_me_by_invitation", + _.getOrElse(EarlybirdFeature, None).exists( + _.conversationControl.exists(_.isInstanceOf[tpt.ConversationControl.ByInvitation]))), + ( + "is_dont_at_me_community", + _.getOrElse(EarlybirdFeature, None) + .exists(_.conversationControl.exists(_.isInstanceOf[tpt.ConversationControl.Community]))), + ("has_zero_score", _.getOrElse(ScoreFeature, None).exists(_ == 0.0)), + ("is_viewer_not_invited_to_reply", _ => false), + ("is_viewer_invited_to_reply", _ => false), + ("has_gte_10_favs", _.getOrElse(EarlybirdFeature, None).exists(_.favCountV2.exists(_ >= 10))), + ("has_gte_100_favs", _.getOrElse(EarlybirdFeature, None).exists(_.favCountV2.exists(_ >= 100))), + ("has_gte_1k_favs", _.getOrElse(EarlybirdFeature, None).exists(_.favCountV2.exists(_ >= 1000))), + ( + "has_gte_10k_favs", + _.getOrElse(EarlybirdFeature, None).exists(_.favCountV2.exists(_ >= 1000))), + ( + "has_gte_100k_favs", + _.getOrElse(EarlybirdFeature, None).exists(_.favCountV2.exists(_ >= 100000))), + ("above_neighbor_is_topic_tweet", _ => false), + ("is_topic_tweet_with_neighbor_below", _ => false), + ("has_audio_space", _.getOrElse(AudioSpaceMetaDataFeature, None).exists(_.hasSpace)), + ("has_live_audio_space", _.getOrElse(AudioSpaceMetaDataFeature, None).exists(_.isLive)), + ( + "has_gte_10_retweets", + _.getOrElse(EarlybirdFeature, None).exists(_.retweetCountV2.exists(_ >= 10))), + ( + "has_gte_100_retweets", + _.getOrElse(EarlybirdFeature, None).exists(_.retweetCountV2.exists(_ >= 100))), + ( + "has_gte_1k_retweets", + _.getOrElse(EarlybirdFeature, None).exists(_.retweetCountV2.exists(_ >= 1000))), + ( + "has_us_political_annotation", + _.getOrElse(EarlybirdFeature, None) + .exists(_.semanticCoreAnnotations.exists(_.exists(annotation => + annotation.domainId == SemanticCoreFeatures.UnifiedTwitterTaxonomy && + annotation.entityId == SemanticCoreFeatures.usPoliticalTweetEntityId && + annotation.groupId == SemanticCoreFeatures.UsPoliticalTweetAnnotationGroupIds.BalancedV0)))), + ( + "has_toxicity_score_above_threshold", + _.getOrElse(EarlybirdFeature, None).exists(_.toxicityScore.exists(_ > 0.91))), + ( + "text_only", + candidate => + candidate.getOrElse(HasDisplayedTextFeature, false) && + !(candidate.getOrElse(EarlybirdFeature, None).exists(_.hasImage) || + candidate.getOrElse(EarlybirdFeature, None).exists(_.hasVideo) || + candidate.getOrElse(EarlybirdFeature, None).exists(_.hasCard))), + ( + "image_only", + candidate => + candidate.getOrElse(EarlybirdFeature, None).exists(_.hasImage) && + !candidate.getOrElse(HasDisplayedTextFeature, false)), + ("has_1_image", _.getOrElse(NumImagesFeature, None).exists(_ == 1)), + ("has_2_images", _.getOrElse(NumImagesFeature, None).exists(_ == 2)), + ("has_3_images", _.getOrElse(NumImagesFeature, None).exists(_ == 3)), + ("has_4_images", _.getOrElse(NumImagesFeature, None).exists(_ == 4)), + ("has_card", _.getOrElse(EarlybirdFeature, None).exists(_.hasCard)), + ("3_or_more_consecutive_not_in_network", _ => false), + ("2_or_more_consecutive_not_in_network", _ => false), + ("5_out_of_7_not_in_network", _ => false), + ("7_out_of_7_not_in_network", _ => false), + ("5_out_of_5_not_in_network", _ => false), + ("user_follow_count_gte_50", _.getOrElse(UserFollowingCountFeature, None).exists(_ > 50)), + ("has_liked_by_social_context", _ => false), + ("has_followed_by_social_context", _ => false), + ("has_topic_social_context", _ => false), + ("timeline_entry_has_banner", _ => false), + ("served_in_conversation_module", _.getOrElse(ServedInConversationModuleFeature, false)), + ( + "conversation_module_has_2_displayed_tweets", + _.getOrElse(ConversationModule2DisplayedTweetsFeature, false)), + ("conversation_module_has_gap", _.getOrElse(ConversationModuleHasGapFeature, false)), + ("served_in_recap_tweet_candidate_module_injection", _ => false), + ("served_in_threaded_conversation_module", _ => false), + ( + "author_is_elon", + candidate => + candidate + .getOrElse(AuthorIdFeature, None).contains(candidate.getOrElse(DDGStatsElonFeature, 0L))), + ( + "author_is_power_user", + candidate => + candidate + .getOrElse(AuthorIdFeature, None) + .exists(candidate.getOrElse(DDGStatsVitsFeature, Set.empty[Long]).contains)), + ( + "author_is_democrat", + candidate => + candidate + .getOrElse(AuthorIdFeature, None) + .exists(candidate.getOrElse(DDGStatsDemocratsFeature, Set.empty[Long]).contains)), + ( + "author_is_republican", + candidate => + candidate + .getOrElse(AuthorIdFeature, None) + .exists(candidate.getOrElse(DDGStatsRepublicansFeature, Set.empty[Long]).contains)), + ) + + val PredicateMap = CandidatePredicates.toMap +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/LikedBySocialContextBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/LikedBySocialContextBuilder.scala new file mode 100644 index 000000000..e2e6f0a23 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/LikedBySocialContextBuilder.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.PerspectiveFilteredLikedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidLikedByUserIdsFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.LikeGeneralContextType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.SocialContext +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +@Singleton +case class LikedBySocialContextBuilder @Inject() ( + externalStrings: HomeMixerExternalStrings, + @ProductScoped stringCenterProvider: Provider[StringCenter]) + extends BaseSocialContextBuilder[PipelineQuery, TweetCandidate] { + + private val stringCenter = stringCenterProvider.get() + + private val engagerSocialContextBuilder = EngagerSocialContextBuilder( + contextType = LikeGeneralContextType, + stringCenter = stringCenter, + oneUserString = externalStrings.socialContextOneUserLikedString, + twoUsersString = externalStrings.socialContextTwoUsersLikedString, + moreUsersString = externalStrings.socialContextMoreUsersLikedString, + timelineTitle = externalStrings.socialContextLikedByTimelineTitle + ) + + def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[SocialContext] = { + + // Liked by users are valid only if they pass both the SGS and Perspective filters. + val validLikedByUserIds = + candidateFeatures + .getOrElse(SGSValidLikedByUserIdsFeature, Nil) + .filter( + candidateFeatures.getOrElse(PerspectiveFilteredLikedByUserIdsFeature, Nil).toSet.contains) + + engagerSocialContextBuilder( + socialContextIds = validLikedByUserIds, + query = query, + candidateFeatures = candidateFeatures + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ListConversationServiceCandidateDecorator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ListConversationServiceCandidateDecorator.scala new file mode 100644 index 000000000..a8df05029 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ListConversationServiceCandidateDecorator.scala @@ -0,0 +1,47 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.functional_component.decorator.builder.HomeConversationModuleMetadataBuilder +import com.twitter.home_mixer.functional_component.decorator.builder.ListClientEventDetailsBuilder +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleFocalTweetIdFeature +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.UrtMultipleModulesDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.tweet.TweetCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.ClientEventInfoBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.StaticModuleDisplayTypeBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.TimelineModuleBuilder +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.model.marshalling.response.urt.EntryNamespace +import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.VerticalConversation +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.injection.scribe.InjectionScribeUtil +import com.twitter.timelineservice.suggests.{thriftscala => st} + +object ListConversationServiceCandidateDecorator { + + private val ConversationModuleNamespace = EntryNamespace("list-conversation") + + def apply(): Some[UrtMultipleModulesDecorator[PipelineQuery, TweetCandidate, Long]] = { + val suggestType = st.SuggestType.OrganicListTweet + val component = InjectionScribeUtil.scribeComponent(suggestType).get + val clientEventInfoBuilder = + ClientEventInfoBuilder(component, Some(ListClientEventDetailsBuilder)) + val tweetItemBuilder = TweetCandidateUrtItemBuilder( + clientEventInfoBuilder = clientEventInfoBuilder + ) + + val moduleBuilder = TimelineModuleBuilder( + entryNamespace = ConversationModuleNamespace, + clientEventInfoBuilder = clientEventInfoBuilder, + displayTypeBuilder = StaticModuleDisplayTypeBuilder(VerticalConversation), + metadataBuilder = Some(HomeConversationModuleMetadataBuilder()) + ) + + Some( + UrtMultipleModulesDecorator( + urtItemCandidateDecorator = UrtItemCandidateDecorator(tweetItemBuilder), + moduleBuilder = moduleBuilder, + groupByKey = (_, _, candidateFeatures) => + candidateFeatures.getOrElse(ConversationModuleFocalTweetIdFeature, None) + )) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/MuteUserChildFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/MuteUserChildFeedbackActionBuilder.scala new file mode 100644 index 000000000..1c8d24ef1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/MuteUserChildFeedbackActionBuilder.scala @@ -0,0 +1,55 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.ScreenNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.icon +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ChildFeedbackAction +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichBehavior +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichFeedbackBehaviorToggleMuteUser +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class MuteUserChildFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings) { + + def apply( + candidateFeatures: FeatureMap + ): Option[ChildFeedbackAction] = { + val userIdOpt = + if (candidateFeatures.getOrElse(IsRetweetFeature, false)) + candidateFeatures.getOrElse(SourceUserIdFeature, None) + else candidateFeatures.getOrElse(AuthorIdFeature, None) + + userIdOpt.flatMap { userId => + val screenNamesMap = candidateFeatures.getOrElse(ScreenNamesFeature, Map.empty[Long, String]) + val userScreenNameOpt = screenNamesMap.get(userId) + userScreenNameOpt.map { userScreenName => + val prompt = stringCenter.prepare( + externalStrings.muteUserString, + Map("username" -> userScreenName) + ) + ChildFeedbackAction( + feedbackType = RichBehavior, + prompt = Some(prompt), + confirmation = None, + feedbackUrl = None, + hasUndoAction = Some(true), + confirmationDisplayType = None, + clientEventInfo = None, + icon = Some(icon.SpeakerOff), + richBehavior = Some(RichFeedbackBehaviorToggleMuteUser(userId)), + subprompt = None + ) + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/NotInterestedTopicFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/NotInterestedTopicFeedbackActionBuilder.scala new file mode 100644 index 000000000..7c8aebb07 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/NotInterestedTopicFeedbackActionBuilder.scala @@ -0,0 +1,71 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.PerspectiveFilteredLikedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidFollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidLikedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicContextFunctionalityTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FeedbackAction +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecWithEducationTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecommendationTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichBehavior +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichFeedbackBehaviorMarkNotInterestedTopic +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class NotInterestedTopicFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings) { + + def apply( + candidateFeatures: FeatureMap + ): Option[FeedbackAction] = { + val isOutOfNetwork = !candidateFeatures.getOrElse(InNetworkFeature, true) + val validFollowedByUserIds = + candidateFeatures.getOrElse(SGSValidFollowedByUserIdsFeature, Nil) + val validLikedByUserIds = + candidateFeatures + .getOrElse(SGSValidLikedByUserIdsFeature, Nil) + .filter( + candidateFeatures.getOrElse(PerspectiveFilteredLikedByUserIdsFeature, Nil).toSet.contains) + + if (isOutOfNetwork && validLikedByUserIds.isEmpty && validFollowedByUserIds.isEmpty) { + val topicIdSocialContext = candidateFeatures.getOrElse(TopicIdSocialContextFeature, None) + val topicContextFunctionalityType = + candidateFeatures.getOrElse(TopicContextFunctionalityTypeFeature, None) + + (topicIdSocialContext, topicContextFunctionalityType) match { + case (Some(topicId), Some(topicContextFunctionalityType)) + if topicContextFunctionalityType == RecommendationTopicContextFunctionalityType || + topicContextFunctionalityType == RecWithEducationTopicContextFunctionalityType => + Some( + FeedbackAction( + feedbackType = RichBehavior, + prompt = None, + confirmation = None, + childFeedbackActions = None, + feedbackUrl = None, + hasUndoAction = Some(true), + confirmationDisplayType = None, + clientEventInfo = None, + icon = None, + richBehavior = + Some(RichFeedbackBehaviorMarkNotInterestedTopic(topicId = topicId.toString)), + subprompt = None, + encodedFeedbackRequest = None + ) + ) + case _ => None + } + } else { + None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/NotRelevantChildFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/NotRelevantChildFeedbackActionBuilder.scala new file mode 100644 index 000000000..1e5536e0b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/NotRelevantChildFeedbackActionBuilder.scala @@ -0,0 +1,55 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ChildFeedbackAction +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.NotRelevant +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import com.twitter.timelines.common.{thriftscala => tlc} +import com.twitter.timelineservice.model.FeedbackInfo +import com.twitter.timelineservice.model.FeedbackMetadata +import com.twitter.timelineservice.{thriftscala => tlst} + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class NotRelevantChildFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings) { + + def apply( + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[ChildFeedbackAction] = { + val prompt = stringCenter.prepare(externalStrings.notRelevantString) + val confirmation = stringCenter.prepare(externalStrings.notRelevantConfirmationString) + val feedbackMetadata = FeedbackMetadata( + engagementType = None, + entityIds = Seq(tlc.FeedbackEntity.TweetId(candidate.id)), + ttl = Some(FeedbackUtil.FeedbackTtl)) + val feedbackUrl = FeedbackInfo.feedbackUrl( + feedbackType = tlst.FeedbackType.NotRelevant, + feedbackMetadata = feedbackMetadata, + injectionType = candidateFeatures.getOrElse(SuggestTypeFeature, None) + ) + + Some( + ChildFeedbackAction( + feedbackType = NotRelevant, + prompt = Some(prompt), + confirmation = Some(confirmation), + feedbackUrl = Some(feedbackUrl), + hasUndoAction = Some(true), + confirmationDisplayType = None, + clientEventInfo = None, + icon = None, + richBehavior = None, + subprompt = None + ) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ReceivedReplySocialContextBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ReceivedReplySocialContextBuilder.scala new file mode 100644 index 000000000..a04e9b4aa --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ReceivedReplySocialContextBuilder.scala @@ -0,0 +1,76 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FocalTweetInNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.RealNamesFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.SocialContext +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata._ +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +/** + * Use '@A received a reply' as social context when the root Tweet is in network and the focal tweet is OON. + * + * This function should only be called for the root Tweet of convo modules. This is enforced by + * [[HomeTweetSocialContextBuilder]]. + */ +@Singleton +case class ReceivedReplySocialContextBuilder @Inject() ( + externalStrings: HomeMixerExternalStrings, + @ProductScoped stringCenterProvider: Provider[StringCenter]) + extends BaseSocialContextBuilder[PipelineQuery, TweetCandidate] { + + private val stringCenter = stringCenterProvider.get() + private val receivedReplyString = externalStrings.socialContextReceivedReply + + def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[SocialContext] = { + + // If these values are missing default to not showing a received a reply banner + val inNetwork = candidateFeatures.getOrElse(InNetworkFeature, false) + val inNetworkFocalTweet = + candidateFeatures.getOrElse(FocalTweetInNetworkFeature, None).getOrElse(true) + + if (inNetwork && !inNetworkFocalTweet) { + + val authorIdOpt = candidateFeatures.getOrElse(AuthorIdFeature, None) + val realNames = candidateFeatures.getOrElse(RealNamesFeature, Map.empty[Long, String]) + val authorNameOpt = authorIdOpt.flatMap(realNames.get) + + (authorIdOpt, authorNameOpt) match { + case (Some(authorId), Some(authorName)) => + Some( + GeneralContext( + contextType = ConversationGeneralContextType, + text = stringCenter + .prepare(receivedReplyString, placeholders = Map("user1" -> authorName)), + url = None, + contextImageUrls = None, + landingUrl = Some( + Url( + urlType = DeepLink, + url = "", + urtEndpointOptions = None + ) + ) + ) + ) + case _ => None + } + } else { + None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ReportTweetChildFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ReportTweetChildFeedbackActionBuilder.scala new file mode 100644 index 000000000..3938a476d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/ReportTweetChildFeedbackActionBuilder.scala @@ -0,0 +1,38 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.model.marshalling.response.urt.icon +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ChildFeedbackAction +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichBehavior +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichFeedbackBehaviorReportTweet +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class ReportTweetChildFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings) { + + def apply( + candidate: TweetCandidate + ): Option[ChildFeedbackAction] = { + Some( + ChildFeedbackAction( + feedbackType = RichBehavior, + prompt = Some(stringCenter.prepare(externalStrings.reportTweetString)), + confirmation = None, + feedbackUrl = None, + hasUndoAction = Some(true), + confirmationDisplayType = None, + clientEventInfo = None, + icon = Some(icon.Flag), + richBehavior = Some(RichFeedbackBehaviorReportTweet(candidate.id)), + subprompt = None + ) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/RetweeterChildFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/RetweeterChildFeedbackActionBuilder.scala new file mode 100644 index 000000000..f2ec8d6f5 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/RetweeterChildFeedbackActionBuilder.scala @@ -0,0 +1,39 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.ScreenNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ChildFeedbackAction +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import com.twitter.timelines.service.{thriftscala => t} + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class RetweeterChildFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings) { + + def apply(candidateFeatures: FeatureMap): Option[ChildFeedbackAction] = { + val isRetweet = candidateFeatures.getOrElse(IsRetweetFeature, false) + + if (isRetweet) { + candidateFeatures.getOrElse(AuthorIdFeature, None).flatMap { retweeterId => + FeedbackUtil.buildUserSeeFewerChildFeedbackAction( + userId = retweeterId, + namesByUserId = candidateFeatures.getOrElse(ScreenNamesFeature, Map.empty[Long, String]), + promptExternalString = externalStrings.showFewerRetweetsString, + confirmationExternalString = externalStrings.showFewerRetweetsConfirmationString, + engagementType = t.FeedbackEngagementType.Retweet, + stringCenter = stringCenter, + injectionType = candidateFeatures.getOrElse(SuggestTypeFeature, None) + ) + } + } else None + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/TopicSocialContextBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/TopicSocialContextBuilder.scala new file mode 100644 index 000000000..f9a8c48e6 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/TopicSocialContextBuilder.scala @@ -0,0 +1,42 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicContextFunctionalityTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.SocialContext +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.TopicContext +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class TopicSocialContextBuilder @Inject() () + extends BaseSocialContextBuilder[PipelineQuery, TweetCandidate] { + + def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[SocialContext] = { + val inNetwork = candidateFeatures.getOrElse(InNetworkFeature, true) + if (!inNetwork) { + val topicIdSocialContextOpt = candidateFeatures.getOrElse(TopicIdSocialContextFeature, None) + val topicContextFunctionalityTypeOpt = + candidateFeatures.getOrElse(TopicContextFunctionalityTypeFeature, None) + (topicIdSocialContextOpt, topicContextFunctionalityTypeOpt) match { + case (Some(topicId), Some(topicContextFunctionalityType)) => + Some( + TopicContext( + topicId = topicId.toString, + functionalityType = Some(topicContextFunctionalityType) + )) + case _ => None + } + } else { + None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/UnfollowUserChildFeedbackActionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/UnfollowUserChildFeedbackActionBuilder.scala new file mode 100644 index 000000000..8bb700b44 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/UnfollowUserChildFeedbackActionBuilder.scala @@ -0,0 +1,57 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.ScreenNamesFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.response.urt.icon +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ChildFeedbackAction +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichBehavior +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RichFeedbackBehaviorToggleFollowUser +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class UnfollowUserChildFeedbackActionBuilder @Inject() ( + @ProductScoped stringCenter: StringCenter, + externalStrings: HomeMixerExternalStrings) { + + def apply(candidateFeatures: FeatureMap): Option[ChildFeedbackAction] = { + val isInNetwork = candidateFeatures.getOrElse(InNetworkFeature, false) + val userIdOpt = candidateFeatures.getOrElse(AuthorIdFeature, None) + + if (isInNetwork) { + userIdOpt.flatMap { userId => + val screenNamesMap = + candidateFeatures.getOrElse(ScreenNamesFeature, Map.empty[Long, String]) + val userScreenNameOpt = screenNamesMap.get(userId) + userScreenNameOpt.map { userScreenName => + val prompt = stringCenter.prepare( + externalStrings.unfollowUserString, + Map("username" -> userScreenName) + ) + val confirmation = stringCenter.prepare( + externalStrings.unfollowUserConfirmationString, + Map("username" -> userScreenName) + ) + ChildFeedbackAction( + feedbackType = RichBehavior, + prompt = Some(prompt), + confirmation = Some(confirmation), + feedbackUrl = None, + hasUndoAction = Some(true), + confirmationDisplayType = None, + clientEventInfo = None, + icon = Some(icon.Unfollow), + richBehavior = Some(RichFeedbackBehaviorToggleFollowUser(userId)), + subprompt = None + ) + } + } + } else None + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/YouMightLikeSocialContextBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/YouMightLikeSocialContextBuilder.scala new file mode 100644 index 000000000..e131a67f0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/YouMightLikeSocialContextBuilder.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.functional_component.decorator + +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.SocialContext +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata._ +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +/** + * Renders a fixed 'You Might Like' string above all OON Tweets. + */ +@Singleton +case class YouMightLikeSocialContextBuilder @Inject() ( + externalStrings: HomeMixerExternalStrings, + @ProductScoped stringCenterProvider: Provider[StringCenter]) + extends BaseSocialContextBuilder[PipelineQuery, TweetCandidate] { + + private val stringCenter = stringCenterProvider.get() + private val youMightLikeString = externalStrings.socialContextYouMightLikeString + + def apply( + query: PipelineQuery, + candidate: TweetCandidate, + candidateFeatures: FeatureMap + ): Option[SocialContext] = { + val isInNetwork = candidateFeatures.getOrElse(InNetworkFeature, true) + val isRetweet = candidateFeatures.getOrElse(IsRetweetFeature, false) + if (!isInNetwork && !isRetweet) { + Some( + GeneralContext( + contextType = SparkleGeneralContextType, + text = stringCenter.prepare(youMightLikeString), + url = None, + contextImageUrls = None, + landingUrl = None + )) + } else { + None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/BUILD.bazel new file mode 100644 index 000000000..66dd7fc38 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/BUILD.bazel @@ -0,0 +1,23 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:scrooge", + "finagle/finagle-core/src/main", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "src/scala/com/twitter/suggests/controller_data", + "src/thrift/com/twitter/suggests/controller_data:controller_data-scala", + "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", + "src/thrift/com/twitter/timelineservice/server/internal:thrift-scala", + "src/thrift/com/twitter/timelineservice/server/suggests/logging:thrift-scala", + "timelines/src/main/scala/com/twitter/timelines/injection/scribe", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/HomeClientEventInfoBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/HomeClientEventInfoBuilder.scala new file mode 100644 index 000000000..f79b0d931 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/HomeClientEventInfoBuilder.scala @@ -0,0 +1,44 @@ +package com.twitter.home_mixer.functional_component.decorator.builder + +import com.twitter.home_mixer.model.HomeFeatures.EntityTokenFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventDetailsBuilder +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ClientEventInfo +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.injection.scribe.InjectionScribeUtil + +/** + * Sets the [[ClientEventInfo]] with the `component` field set to the Suggest Type assigned to each candidate + */ +case class HomeClientEventInfoBuilder[Query <: PipelineQuery, Candidate <: UniversalNoun[Any]]( + detailsBuilder: Option[BaseClientEventDetailsBuilder[Query, Candidate]] = None) + extends BaseClientEventInfoBuilder[Query, Candidate] { + + override def apply( + query: Query, + candidate: Candidate, + candidateFeatures: FeatureMap, + element: Option[String] + ): Option[ClientEventInfo] = { + val suggestType = candidateFeatures + .getOrElse(SuggestTypeFeature, None) + .getOrElse(throw new UnsupportedOperationException(s"No SuggestType was set")) + + Some( + ClientEventInfo( + component = InjectionScribeUtil.scribeComponent(suggestType), + element = element, + details = detailsBuilder.flatMap(_.apply(query, candidate, candidateFeatures)), + action = None, + /** + * A backend entity encoded by the Client Entities Encoding Library. + * Placeholder string for now + */ + entityToken = candidateFeatures.getOrElse(EntityTokenFeature, None) + ) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/HomeConversationModuleMetadataBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/HomeConversationModuleMetadataBuilder.scala new file mode 100644 index 000000000..dc6d51327 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/HomeConversationModuleMetadataBuilder.scala @@ -0,0 +1,30 @@ +package com.twitter.home_mixer.functional_component.decorator.builder + +import com.twitter.home_mixer.model.HomeFeatures.AncestorsFeature +import com.twitter.product_mixer.component_library.model.candidate.BaseTweetCandidate +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.timeline_module.BaseModuleMetadataBuilder +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.ModuleConversationMetadata +import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.ModuleMetadata +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +case class HomeConversationModuleMetadataBuilder[ + -Query <: PipelineQuery, + -Candidate <: BaseTweetCandidate +]() extends BaseModuleMetadataBuilder[Query, Candidate] { + + override def apply( + query: Query, + candidates: Seq[CandidateWithFeatures[Candidate]] + ): ModuleMetadata = ModuleMetadata( + adsMetadata = None, + conversationMetadata = Some( + ModuleConversationMetadata( + allTweetIds = Some((candidates.last.candidate.id +: + candidates.last.features.getOrElse(AncestorsFeature, Seq.empty).map(_.tweetId)).reverse), + socialContext = None, + enableDeduplication = Some(true) + )), + gridCarouselMetadata = None + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/ListClientEventDetailsBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/ListClientEventDetailsBuilder.scala new file mode 100644 index 000000000..4c7927cab --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder/ListClientEventDetailsBuilder.scala @@ -0,0 +1,33 @@ +package com.twitter.home_mixer.functional_component.decorator.builder + +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventDetailsBuilder +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ClientEventDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.TimelinesDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelineservice.suggests.{thriftscala => st} + +object ListClientEventDetailsBuilder + extends BaseClientEventDetailsBuilder[PipelineQuery, UniversalNoun[Any]] { + + override def apply( + query: PipelineQuery, + candidate: UniversalNoun[Any], + candidateFeatures: FeatureMap + ): Option[ClientEventDetails] = { + val clientEventDetails = ClientEventDetails( + conversationDetails = None, + timelinesDetails = Some( + TimelinesDetails( + injectionType = Some(st.SuggestType.OrganicListTweet.name), + controllerData = None, + sourceData = None)), + articleDetails = None, + liveEventDetails = None, + commerceDetails = None + ) + + Some(clientEventDetails) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/AddEntriesWithReplaceAndShowAlertAndShowCoverInstructionBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/AddEntriesWithReplaceAndShowAlertAndShowCoverInstructionBuilder.scala new file mode 100644 index 000000000..dc3080eb5 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/AddEntriesWithReplaceAndShowAlertAndShowCoverInstructionBuilder.scala @@ -0,0 +1,30 @@ +package com.twitter.home_mixer.functional_component.decorator.urt.builder + +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.AlwaysInclude +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.IncludeInstruction +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.UrtInstructionBuilder +import com.twitter.product_mixer.core.model.marshalling.response.urt.AddEntriesTimelineInstruction +import com.twitter.product_mixer.core.model.marshalling.response.urt.Cover +import com.twitter.product_mixer.core.model.marshalling.response.urt.ShowAlert +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineEntry +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +case class AddEntriesWithReplaceAndShowAlertAndCoverInstructionBuilder[Query <: PipelineQuery]( + override val includeInstruction: IncludeInstruction[Query] = AlwaysInclude) + extends UrtInstructionBuilder[Query, AddEntriesTimelineInstruction] { + + override def build( + query: Query, + entries: Seq[TimelineEntry] + ): Seq[AddEntriesTimelineInstruction] = { + if (includeInstruction(query, entries)) { + val entriesToAdd = entries + .filterNot(_.isInstanceOf[ShowAlert]) + .filterNot(_.isInstanceOf[Cover]) + .filter(_.entryIdToReplace.isEmpty) + if (entriesToAdd.nonEmpty) Seq(AddEntriesTimelineInstruction(entriesToAdd)) + else Seq.empty + } else + Seq.empty + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/BUILD.bazel new file mode 100644 index 000000000..e3714868a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/BUILD.bazel @@ -0,0 +1,12 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder", + "src/thrift/com/twitter/timelines/service:thrift-scala", + "src/thrift/com/twitter/timelineservice/server/internal:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/HomeWhoToFollowFeedbackActionInfoBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/HomeWhoToFollowFeedbackActionInfoBuilder.scala new file mode 100644 index 000000000..fd108dc49 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder/HomeWhoToFollowFeedbackActionInfoBuilder.scala @@ -0,0 +1,51 @@ +package com.twitter.home_mixer.functional_component.decorator.urt.builder + +import com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.WhoToFollowFeedbackActionInfoBuilder +import com.twitter.product_mixer.component_library.model.candidate.UserCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.ExternalStringRegistry +import com.twitter.stringcenter.client.StringCenter +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FeedbackActionInfo +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.service.{thriftscala => tl} +import com.twitter.timelines.util.FeedbackRequestSerializer +import com.twitter.timelineservice.suggests.thriftscala.SuggestType +import com.twitter.timelineservice.thriftscala.FeedbackType + +object HomeWhoToFollowFeedbackActionInfoBuilder { + private val FeedbackMetadata = tl.FeedbackMetadata( + injectionType = Some(SuggestType.WhoToFollow), + engagementType = None, + entityIds = Seq.empty, + ttlMs = None + ) + private val FeedbackRequest = + tl.DefaultFeedbackRequest2(FeedbackType.SeeFewer, FeedbackMetadata) + private val EncodedFeedbackRequest = + FeedbackRequestSerializer.serialize(tl.FeedbackRequest.DefaultFeedbackRequest2(FeedbackRequest)) +} + +@Singleton +case class HomeWhoToFollowFeedbackActionInfoBuilder @Inject() ( + @ProductScoped externalStringRegistryProvider: Provider[ExternalStringRegistry], + @ProductScoped stringCenterProvider: Provider[StringCenter]) + extends BaseFeedbackActionInfoBuilder[PipelineQuery, UserCandidate] { + + private val whoToFollowFeedbackActionInfoBuilder = WhoToFollowFeedbackActionInfoBuilder( + externalStringRegistry = externalStringRegistryProvider.get(), + stringCenter = stringCenterProvider.get(), + encodedFeedbackRequest = Some(HomeWhoToFollowFeedbackActionInfoBuilder.EncodedFeedbackRequest) + ) + + override def apply( + query: PipelineQuery, + candidate: UserCandidate, + candidateFeatures: FeatureMap + ): Option[FeedbackActionInfo] = + whoToFollowFeedbackActionInfoBuilder.apply(query, candidate, candidateFeatures) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/AncestorFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/AncestorFeatureHydrator.scala new file mode 100644 index 000000000..8d1a0862d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/AncestorFeatureHydrator.scala @@ -0,0 +1,56 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.AncestorsFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.CandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.tweetconvosvc.tweet_ancestor.{thriftscala => ta} +import com.twitter.tweetconvosvc.{thriftscala => tcs} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class AncestorFeatureHydrator @Inject() ( + conversationServiceClient: tcs.ConversationService.MethodPerEndpoint) + extends CandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("Ancestor") + + override val features: Set[Feature[_, _]] = Set(AncestorsFeature) + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + existingFeatures: FeatureMap + ): Stitch[FeatureMap] = { + val ancestorsRequest = tcs.GetAncestorsRequest(Seq(candidate.id)) + + Stitch.callFuture(conversationServiceClient.getAncestors(ancestorsRequest)).map { + getAncestorsResponse => + val ancestors = getAncestorsResponse.ancestors.headOption + .collect { + case tcs.TweetAncestorsResult.TweetAncestors(ancestorsResult) + if ancestorsResult.nonEmpty => + ancestorsResult.head.ancestors ++ getTruncatedRootTweet(ancestorsResult.head) + }.getOrElse(Seq.empty) + + FeatureMapBuilder().add(AncestorsFeature, ancestors).build() + } + } + + private def getTruncatedRootTweet( + ancestors: ta.TweetAncestors, + ): Option[ta.TweetAncestor] = { + ancestors.conversationRootAuthorId.collect { + case rootAuthorId + if ancestors.state == ta.ReplyState.Partial && + ancestors.ancestors.last.tweetId != ancestors.conversationId => + ta.TweetAncestor(ancestors.conversationId, rootAuthorId) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/AuthorFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/AuthorFeatureHydrator.scala new file mode 100644 index 000000000..a01269c2c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/AuthorFeatureHydrator.scala @@ -0,0 +1,95 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.author_features.AuthorFeaturesAdapter +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.AuthorFeatureRepository +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.repository.KeyValueResult +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch +import com.twitter.timelines.author_features.v1.{thriftjava => af} +import com.twitter.util.Future +import com.twitter.util.Try + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object AuthorFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class AuthorFeatureHydrator @Inject() ( + @Named(AuthorFeatureRepository) client: KeyValueRepository[Seq[Long], Long, af.AuthorFeatures], + override val statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with ObservedKeyValueResultHandler { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("AuthorFeature") + + override val features: Set[Feature[_, _]] = Set(AuthorFeature) + + override val statScope: String = identifier.toString + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + Stitch.callFuture { + val possiblyAuthorIds = extractKeys(candidates) + val authorIds = possiblyAuthorIds.flatten + + val response: Future[KeyValueResult[Long, af.AuthorFeatures]] = + if (authorIds.isEmpty) { + Future.value(KeyValueResult.empty) + } else { + client(authorIds) + } + + response.map { result => + possiblyAuthorIds.map { possiblyAuthorId => + val value = observedGet(key = possiblyAuthorId, keyValueResult = result) + val transformedValue = postTransformer(value) + + FeatureMapBuilder() + .add(AuthorFeature, transformedValue) + .build() + } + } + } + } + + private def postTransformer(authorFeatures: Try[Option[af.AuthorFeatures]]): Try[DataRecord] = { + authorFeatures.map { features => + AuthorFeaturesAdapter.adaptToDataRecords(features).asScala.head + } + } + + private def extractKeys( + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[Long]] = { + candidates.map { candidate => + candidate.features + .getTry(AuthorIdFeature) + .toOption + .flatten + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/BUILD.bazel new file mode 100644 index 000000000..bc7d5247f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/BUILD.bazel @@ -0,0 +1,103 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/storehaus:core", + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "configapi/configapi-decider", + "finatra/inject/inject-core/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/twhin_embeddings", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content", + "joinkey/src/main/scala/com/twitter/joinkey/context", + "joinkey/src/main/thrift/com/twitter/joinkey/context:joinkey-context-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timelines_impression_store", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/topics", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_is_nsfw", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_visibility_reason", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/util", + "representation-scorer/server/src/main/scala/com/twitter/representationscorer/common", + "representation-scorer/server/src/main/thrift:thrift-scala", + "servo/repo/src/main/scala", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/java/com/twitter/ml/api/constant", + "src/java/com/twitter/search/common/util/lang", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/timelines/prediction/adapters/real_graph", + "src/scala/com/twitter/timelines/prediction/adapters/realtime_interaction_graph", + "src/scala/com/twitter/timelines/prediction/adapters/twistly", + "src/scala/com/twitter/timelines/prediction/adapters/two_hop_features", + "src/scala/com/twitter/timelines/prediction/common/util", + "src/scala/com/twitter/timelines/prediction/features/common", + "src/scala/com/twitter/timelines/prediction/features/realtime_interaction_graph", + "src/scala/com/twitter/timelines/prediction/features/recap", + "src/scala/com/twitter/timelines/prediction/features/time_features", + "src/thrift/com/twitter/gizmoduck:thrift-scala", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/ml/api:embedding-java", + "src/thrift/com/twitter/onboarding/relevance/features:features-java", + "src/thrift/com/twitter/recos/user_tweet_entity_graph:user_tweet_entity_graph-scala", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/search/common:constants-java", + "src/thrift/com/twitter/socialgraph:thrift-scala", + "src/thrift/com/twitter/spam/rtf:safety-result-scala", + "src/thrift/com/twitter/timelineranker:thrift-scala", + "src/thrift/com/twitter/timelines/author_features:thrift-java", + "src/thrift/com/twitter/timelines/conversation_features:conversation_features-scala", + "src/thrift/com/twitter/timelines/impression:thrift-scala", + "src/thrift/com/twitter/timelines/impression_bloom_filter:thrift-scala", + "src/thrift/com/twitter/timelines/real_graph:real_graph-scala", + "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", + "src/thrift/com/twitter/topic_recos:topic_recos-thrift-java", + "src/thrift/com/twitter/tweetypie:service-scala", + "src/thrift/com/twitter/tweetypie:tweet-scala", + "src/thrift/com/twitter/user_session_store:thrift-java", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + "src/thrift/com/twitter/wtf/real_time_interaction_graph:wtf-real_time_interaction_graph-thrift-java", + "stitch/stitch-core", + "stitch/stitch-gizmoduck", + "stitch/stitch-socialgraph", + "stitch/stitch-timelineservice", + "stitch/stitch-tweetypie", + "strato/config/columns/topic-signals/tsp", + "strato/config/columns/topic-signals/tsp:tsp-strato-client", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/feedback", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/manhattan", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/persistence", + "timelines/src/main/scala/com/twitter/timelines/clients/strato/twistly", + "timelines/src/main/scala/com/twitter/timelines/clients/user_tweet_entity_graph", + "timelines/src/main/scala/com/twitter/timelines/impressionstore/impressionbloomfilter", + "timelines/src/main/scala/com/twitter/timelines/impressionstore/store", + "timelineservice/common/src/main/scala/com/twitter/timelineservice/model", + "topic-social-proof/server/src/main/thrift:thrift-scala", + "topiclisting/topiclisting-core/src/main/scala/com/twitter/topiclisting", + "tweetconvosvc/thrift/src/main/thrift:thrift-scala", + "twitter-config/yaml", + "user_session_store/src/main/scala/com/twitter/user_session_store", + "util/util-core", + ], + exports = [ + "src/thrift/com/twitter/recos/user_tweet_entity_graph:user_tweet_entity_graph-scala", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/manhattan", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/DismissInfoQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/DismissInfoQueryFeatureHydrator.scala new file mode 100644 index 000000000..976cd1e30 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/DismissInfoQueryFeatureHydrator.scala @@ -0,0 +1,45 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.DismissInfoFeature +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.timelinemixer.clients.manhattan.InjectionHistoryClient +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelinemixer.clients.manhattan.DismissInfo +import com.twitter.timelineservice.suggests.thriftscala.SuggestType +import javax.inject.Inject +import javax.inject.Singleton + +object DismissInfoQueryFeatureHydrator { + val DismissInfoSuggestTypes = Seq(SuggestType.WhoToFollow) +} + +@Singleton +case class DismissInfoQueryFeatureHydrator @Inject() ( + dismissInfoClient: InjectionHistoryClient) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("DismissInfo") + + override val features: Set[Feature[_, _]] = Set(DismissInfoFeature) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = + Stitch.callFuture { + dismissInfoClient + .readDismissInfoEntries( + query.getRequiredUserId, + DismissInfoQueryFeatureHydrator.DismissInfoSuggestTypes).map { response => + val dismissInfoMap = response.mapValues(DismissInfo.fromThrift) + FeatureMapBuilder().add(DismissInfoFeature, dismissInfoMap).build() + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.8, 50, 60, 60) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/EarlybirdFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/EarlybirdFeatureHydrator.scala new file mode 100644 index 000000000..639c3ac37 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/EarlybirdFeatureHydrator.scala @@ -0,0 +1,129 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.earlybird.EarlybirdAdapter +import com.twitter.home_mixer.model.HomeFeatures.DeviceLanguageFeature +import com.twitter.home_mixer.model.HomeFeatures.EarlybirdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.TweetUrlsFeature +import com.twitter.home_mixer.model.HomeFeatures.UserScreenNameFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.EarlybirdRepository +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.home_mixer.util.earlybird.EarlybirdResponseUtil +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.search.earlybird.{thriftscala => eb} +import com.twitter.servo.keyvalue.KeyValueResult +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch +import com.twitter.util.Return +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object EarlybirdDataRecordFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class EarlybirdFeatureHydrator @Inject() ( + @Named(EarlybirdRepository) client: KeyValueRepository[ + (Seq[Long], Long), + Long, + eb.ThriftSearchResult + ], + override val statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with ObservedKeyValueResultHandler { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("Earlybird") + + override val features: Set[Feature[_, _]] = + Set(EarlybirdDataRecordFeature, EarlybirdFeature, TweetUrlsFeature) + + override val statScope: String = identifier.toString + + private val scopedStatsReceiver = statsReceiver.scope(statScope) + private val originalKeyFoundCounter = scopedStatsReceiver.counter("originalKey/found") + private val originalKeyLossCounter = scopedStatsReceiver.counter("originalKey/loss") + + private val ebFeaturesNotExistPredicate: CandidateWithFeatures[TweetCandidate] => Boolean = + candidate => candidate.features.getOrElse(EarlybirdFeature, None).isEmpty + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val candidatesToHydrate = candidates.filter { candidate => + val isEmpty = ebFeaturesNotExistPredicate(candidate) + if (isEmpty) originalKeyLossCounter.incr() else originalKeyFoundCounter.incr() + isEmpty + } + Stitch + .callFuture(client((candidatesToHydrate.map(_.candidate.id), query.getRequiredUserId))) + .map(handleResponse(query, candidates, _)) + } + + private def handleResponse( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]], + results: KeyValueResult[Long, eb.ThriftSearchResult] + ): Seq[FeatureMap] = { + val queryFeatureMap = query.features.getOrElse(FeatureMap.empty) + val userLanguages = queryFeatureMap.getOrElse(UserLanguagesFeature, Seq.empty) + val uiLanguageCode = queryFeatureMap.getOrElse(DeviceLanguageFeature, None) + val screenName = queryFeatureMap.getOrElse(UserScreenNameFeature, None) + + val searchResults = candidates + .filter(ebFeaturesNotExistPredicate).map { candidate => + observedGet(Some(candidate.candidate.id), results) + }.collect { + case Return(Some(value)) => value + } + + val tweetIdToEbFeatures = EarlybirdResponseUtil.getOONTweetThriftFeaturesByTweetId( + searcherUserId = query.getRequiredUserId, + screenName = screenName, + userLanguages = userLanguages, + uiLanguageCode = uiLanguageCode, + searchResults = searchResults + ) + + candidates.map { candidate => + val hydratedEbFeatures = tweetIdToEbFeatures.get(candidate.candidate.id) + val earlybirdFeatures = + if (hydratedEbFeatures.nonEmpty) hydratedEbFeatures + else candidate.features.getOrElse(EarlybirdFeature, None) + + val candidateIsRetweet = candidate.features.getOrElse(IsRetweetFeature, false) + val sourceTweetEbFeatures = + candidate.features.getOrElse(SourceTweetEarlybirdFeature, None) + + val originalTweetEbFeatures = + if (candidateIsRetweet && sourceTweetEbFeatures.nonEmpty) + sourceTweetEbFeatures + else earlybirdFeatures + + val earlybirdDataRecord = + EarlybirdAdapter.adaptToDataRecords(originalTweetEbFeatures).asScala.head + + FeatureMapBuilder() + .add(EarlybirdFeature, earlybirdFeatures) + .add(EarlybirdDataRecordFeature, earlybirdDataRecord) + .add(TweetUrlsFeature, earlybirdFeatures.flatMap(_.urlsList).getOrElse(Seq.empty)) + .build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FeedbackHistoryQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FeedbackHistoryQueryFeatureHydrator.scala new file mode 100644 index 000000000..aae96fe00 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FeedbackHistoryQueryFeatureHydrator.scala @@ -0,0 +1,38 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.FeedbackHistoryFeature +import com.twitter.home_mixer.param.HomeGlobalParams.EnableFeedbackFatigueParam +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.Conditionally +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelinemixer.clients.feedback.FeedbackHistoryManhattanClient +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class FeedbackHistoryQueryFeatureHydrator @Inject() ( + feedbackHistoryClient: FeedbackHistoryManhattanClient) + extends QueryFeatureHydrator[PipelineQuery] + with Conditionally[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("FeedbackHistory") + + override val features: Set[Feature[_, _]] = Set(FeedbackHistoryFeature) + + override def onlyIf(query: PipelineQuery): Boolean = + query.params(EnableFeedbackFatigueParam) + + override def hydrate( + query: PipelineQuery + ): Stitch[FeatureMap] = + Stitch + .callFuture(feedbackHistoryClient.get(query.getRequiredUserId)) + .map { feedbackHistory => + FeatureMapBuilder().add(FeedbackHistoryFeature, feedbackHistory).build() + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FocalTweetFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FocalTweetFeatureHydrator.scala new file mode 100644 index 000000000..79500a7b4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FocalTweetFeatureHydrator.scala @@ -0,0 +1,84 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleFocalTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FocalTweetAuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FocalTweetInNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.FocalTweetRealNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.FocalTweetScreenNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.RealNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.ScreenNamesFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Social context for convo modules is hydrated on the root Tweet but needs info about the focal + * Tweet (e.g. author) to render the banner. This hydrator copies focal Tweet data into the root. + */ +@Singleton +class FocalTweetFeatureHydrator @Inject() () + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("FocalTweet") + + override val features: Set[Feature[_, _]] = Set( + FocalTweetAuthorIdFeature, + FocalTweetInNetworkFeature, + FocalTweetRealNamesFeature, + FocalTweetScreenNamesFeature + ) + + private val DefaultFeatureMap = FeatureMapBuilder() + .add(FocalTweetAuthorIdFeature, None) + .add(FocalTweetInNetworkFeature, None) + .add(FocalTweetRealNamesFeature, None) + .add(FocalTweetScreenNamesFeature, None) + .build() + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + // Build a map of all the focal tweets to their corresponding features + val focalTweetIdToFeatureMap = candidates.flatMap { candidate => + val focalTweetId = candidate.features.getOrElse(ConversationModuleFocalTweetIdFeature, None) + if (focalTweetId.contains(candidate.candidate.id)) { + Some(candidate.candidate.id -> candidate.features) + } else None + }.toMap + + val updatedFeatureMap = candidates.map { candidate => + val focalTweetId = candidate.features.getOrElse(ConversationModuleFocalTweetIdFeature, None) + val conversationId = candidate.features.getOrElse(ConversationModuleIdFeature, None) + + // Check if the candidate is a root tweet and ensure its focal tweet's features are available + if (conversationId.contains(candidate.candidate.id) + && focalTweetId.exists(focalTweetIdToFeatureMap.contains)) { + val featureMap = focalTweetIdToFeatureMap.get(focalTweetId.get).get + FeatureMapBuilder() + .add(FocalTweetAuthorIdFeature, featureMap.getOrElse(AuthorIdFeature, None)) + .add(FocalTweetInNetworkFeature, Some(featureMap.getOrElse(InNetworkFeature, true))) + .add( + FocalTweetRealNamesFeature, + Some(featureMap.getOrElse(RealNamesFeature, Map.empty[Long, String]))) + .add( + FocalTweetScreenNamesFeature, + Some(featureMap.getOrElse(ScreenNamesFeature, Map.empty[Long, String]))) + .build() + } else DefaultFeatureMap + } + + Stitch.value(updatedFeatureMap) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FollowedTopicsQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FollowedTopicsQueryFeatureHydrator.scala new file mode 100644 index 000000000..5e9bae5c9 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/FollowedTopicsQueryFeatureHydrator.scala @@ -0,0 +1,41 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.UserFollowedTopicsCountFeature +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.candidate_source.topics.FollowedTopicsCandidateSource +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.candidate_source.strato.StratoKeyView +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class FollowedTopicsQueryFeatureHydrator @Inject() ( + followedTopicsCandidateSource: FollowedTopicsCandidateSource) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("FollowedTopics") + + override val features: Set[Feature[_, _]] = Set(UserFollowedTopicsCountFeature) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val request: StratoKeyView[Long, Unit] = StratoKeyView(query.getRequiredUserId, Unit) + followedTopicsCandidateSource(request) + .map { topics => + FeatureMapBuilder().add(UserFollowedTopicsCountFeature, Some(topics.size)).build() + }.handle { + case _ => FeatureMapBuilder().add(UserFollowedTopicsCountFeature, None).build() + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.9), + HomeMixerAlertConfig.BusinessHours.defaultLatencyAlert(1500.millis) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GizmoduckAuthorSafetyFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GizmoduckAuthorSafetyFeatureHydrator.scala new file mode 100644 index 000000000..3b13140d1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GizmoduckAuthorSafetyFeatureHydrator.scala @@ -0,0 +1,58 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.gizmoduck.{thriftscala => gt} +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.AuthorIsBlueVerifiedFeature +import com.twitter.home_mixer.param.HomeGlobalParams.EnableGizmoduckAuthorSafetyFeatureHydratorParam +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.CandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.Conditionally +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.stitch.gizmoduck.Gizmoduck +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class GizmoduckAuthorSafetyFeatureHydrator @Inject() (gizmoduck: Gizmoduck) + extends CandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with Conditionally[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("GizmoduckAuthorSafety") + + override val features: Set[Feature[_, _]] = Set(AuthorIsBlueVerifiedFeature) + + override def onlyIf(query: PipelineQuery): Boolean = + query.params(EnableGizmoduckAuthorSafetyFeatureHydratorParam) + + private val queryFields: Set[gt.QueryFields] = Set(gt.QueryFields.Safety) + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + existingFeatures: FeatureMap + ): Stitch[FeatureMap] = { + val authorIdOption = existingFeatures.getOrElse(AuthorIdFeature, None) + + val blueVerifiedStitch = authorIdOption + .map { authorId => + gizmoduck + .getUserById( + userId = authorId, + queryFields = queryFields + ) + .map { _.safety.flatMap(_.isBlueVerified).getOrElse(false) } + }.getOrElse(Stitch.False) + + blueVerifiedStitch.map { isBlueVerified => + FeatureMapBuilder() + .add(AuthorIsBlueVerifiedFeature, isBlueVerified) + .build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GizmoduckUserQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GizmoduckUserQueryFeatureHydrator.scala new file mode 100644 index 000000000..431711900 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GizmoduckUserQueryFeatureHydrator.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.gizmoduck.{thriftscala => gt} +import com.twitter.home_mixer.model.HomeFeatures.UserFollowingCountFeature +import com.twitter.home_mixer.model.HomeFeatures.UserScreenNameFeature +import com.twitter.home_mixer.model.HomeFeatures.UserTypeFeature +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.stitch.gizmoduck.Gizmoduck +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class GizmoduckUserQueryFeatureHydrator @Inject() (gizmoduck: Gizmoduck) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("GizmoduckUser") + + override val features: Set[Feature[_, _]] = + Set(UserFollowingCountFeature, UserTypeFeature, UserScreenNameFeature) + + private val queryFields: Set[gt.QueryFields] = + Set(gt.QueryFields.Counts, gt.QueryFields.Safety, gt.QueryFields.Profile) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val userId = query.getRequiredUserId + gizmoduck + .getUserById( + userId = userId, + queryFields = queryFields, + context = gt.LookupContext(forUserId = Some(userId), includeSoftUsers = true)) + .map { user => + FeatureMapBuilder() + .add(UserFollowingCountFeature, user.counts.map(_.following.toInt)) + .add(UserTypeFeature, Some(user.userType)) + .add(UserScreenNameFeature, user.profile.map(_.screenName)) + .build() + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.7) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GraphTwoHopFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GraphTwoHopFeatureHydrator.scala new file mode 100644 index 000000000..7a3ed69d2 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/GraphTwoHopFeatureHydrator.scala @@ -0,0 +1,105 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.graph_feature_service.{thriftscala => gfs} +import com.twitter.home_mixer.model.HomeFeatures.FollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.IsExtendedReplyFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.GraphTwoHopRepository +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.home_mixer.util.ReplyRetweetUtil +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch +import com.twitter.timelines.prediction.adapters.two_hop_features.TwoHopFeaturesAdapter +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object GraphTwoHopFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class GraphTwoHopFeatureHydrator @Inject() ( + @Named(GraphTwoHopRepository) client: KeyValueRepository[(Seq[Long], Long), Long, Seq[ + gfs.IntersectionValue + ]], + override val statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with ObservedKeyValueResultHandler { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("GraphTwoHop") + + override val features: Set[Feature[_, _]] = Set(GraphTwoHopFeature, FollowedByUserIdsFeature) + + override val statScope: String = identifier.toString + + private val twoHopFeaturesAdapter = new TwoHopFeaturesAdapter + + private val FollowFeatureType = gfs.FeatureType(gfs.EdgeType.Following, gfs.EdgeType.FollowedBy) + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + // Apply filters to in network candidates for ExtendedReplyAncestors and retweets. + // ExtendedReplyAncestors should also be in candidates. No filter for oon. + val (inNetworkCandidates, oonCandidates) = candidates.partition { candidate => + candidate.features.getOrElse(InNetworkFeature, false) + } + + val inNetworkReplyToAncestorTweet = + ReplyRetweetUtil.replyToAncestorTweetCandidatesMap(inNetworkCandidates) + + val inNetworkExtendedReplyAncestors = inNetworkCandidates + .filter(_.features.getOrElse(IsExtendedReplyFeature, false)).flatMap { inNetworkCandidate => + inNetworkReplyToAncestorTweet.get(inNetworkCandidate.candidate.id) + }.flatten + + val inNetworkCandidatesToHydrate = inNetworkExtendedReplyAncestors ++ + inNetworkCandidates.filter(_.features.getOrElse(IsRetweetFeature, false)) + + val candidatesToHydrate = (inNetworkCandidatesToHydrate ++ oonCandidates) + .flatMap(candidate => CandidatesUtil.getOriginalAuthorId(candidate.features)).distinct + + val response = Stitch.callFuture(client((candidatesToHydrate, query.getRequiredUserId))) + + response.map { result => + candidates.map { candidate => + val originalAuthorId = CandidatesUtil.getOriginalAuthorId(candidate.features) + + val value = observedGet(key = originalAuthorId, keyValueResult = result) + val transformedValue = postTransformer(value) + val followedByUserIds = value.toOption.flatMap(getFollowedByUserIds(_)).getOrElse(Seq.empty) + + FeatureMapBuilder() + .add(GraphTwoHopFeature, transformedValue) + .add(FollowedByUserIdsFeature, followedByUserIds) + .build() + } + } + } + + private def getFollowedByUserIds(input: Option[Seq[gfs.IntersectionValue]]): Option[Seq[Long]] = + input.map(_.filter(_.featureType == FollowFeatureType).flatMap(_.intersectionIds).flatten) + + private def postTransformer(input: Try[Option[Seq[gfs.IntersectionValue]]]): Try[DataRecord] = + input.map(twoHopFeaturesAdapter.adaptToDataRecords(_).asScala.head) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ImpressionBloomFilterQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ImpressionBloomFilterQueryFeatureHydrator.scala new file mode 100644 index 000000000..19b1ab557 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ImpressionBloomFilterQueryFeatureHydrator.scala @@ -0,0 +1,57 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.ImpressionBloomFilterFeature +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.impressionbloomfilter.{thriftscala => t} +import com.twitter.timelines.impressionstore.impressionbloomfilter.ImpressionBloomFilter +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class ImpressionBloomFilterQueryFeatureHydrator[ + Query <: PipelineQuery with HasSeenTweetIds] @Inject() ( + bloomFilter: ImpressionBloomFilter) + extends QueryFeatureHydrator[Query] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier( + "ImpressionBloomFilter") + + private val ImpressionBloomFilterTTL = 7.day + private val ImpressionBloomFilterFalsePositiveRate = 0.002 + + override val features: Set[Feature[_, _]] = Set(ImpressionBloomFilterFeature) + + private val SurfaceArea = t.SurfaceArea.HomeTimeline + + override def hydrate(query: Query): Stitch[FeatureMap] = { + val userId = query.getRequiredUserId + bloomFilter.getBloomFilterSeq(userId, SurfaceArea).map { bloomFilterSeq => + val updatedBloomFilterSeq = + if (query.seenTweetIds.forall(_.isEmpty)) bloomFilterSeq + else { + bloomFilter.addElements( + userId = userId, + surfaceArea = SurfaceArea, + tweetIds = query.seenTweetIds.get, + bloomFilterEntrySeq = bloomFilterSeq, + timeToLive = ImpressionBloomFilterTTL, + falsePositiveRate = ImpressionBloomFilterFalsePositiveRate + ) + } + FeatureMapBuilder().add(ImpressionBloomFilterFeature, updatedBloomFilterSeq).build() + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.8) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/LastNonPollingTimeQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/LastNonPollingTimeQueryFeatureHydrator.scala new file mode 100644 index 000000000..9f3049049 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/LastNonPollingTimeQueryFeatureHydrator.scala @@ -0,0 +1,68 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.FollowingLastNonPollingTimeFeature +import com.twitter.home_mixer.model.HomeFeatures.LastNonPollingTimeFeature +import com.twitter.home_mixer.model.HomeFeatures.NonPollingTimesFeature +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.user_session_store.ReadRequest +import com.twitter.user_session_store.ReadWriteUserSessionStore +import com.twitter.user_session_store.UserSessionDataset +import com.twitter.user_session_store.UserSessionDataset.UserSessionDataset +import com.twitter.util.Time + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class LastNonPollingTimeQueryFeatureHydrator @Inject() ( + userSessionStore: ReadWriteUserSessionStore) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("LastNonPollingTime") + + override val features: Set[Feature[_, _]] = Set( + FollowingLastNonPollingTimeFeature, + LastNonPollingTimeFeature, + NonPollingTimesFeature + ) + + private val datasets: Set[UserSessionDataset] = Set(UserSessionDataset.NonPollingTimes) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + userSessionStore + .read(ReadRequest(query.getRequiredUserId, datasets)) + .map { userSession => + val nonPollingTimestamps = userSession.flatMap(_.nonPollingTimestamps) + + val lastNonPollingTime = nonPollingTimestamps + .flatMap(_.nonPollingTimestampsMs.headOption) + .map(Time.fromMilliseconds) + + val followingLastNonPollingTime = nonPollingTimestamps + .flatMap(_.mostRecentHomeLatestNonPollingTimestampMs) + .map(Time.fromMilliseconds) + + val nonPollingTimes = nonPollingTimestamps + .map(_.nonPollingTimestampsMs) + .getOrElse(Seq.empty) + + FeatureMapBuilder() + .add(FollowingLastNonPollingTimeFeature, followingLastNonPollingTime) + .add(LastNonPollingTimeFeature, lastNonPollingTime) + .add(NonPollingTimesFeature, nonPollingTimes) + .build() + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.9) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ListMembersQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ListMembersQueryFeatureHydrator.scala new file mode 100644 index 000000000..a6d3324d3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ListMembersQueryFeatureHydrator.scala @@ -0,0 +1,42 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.request.HasListId +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.socialgraph.{thriftscala => sg} +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.SocialGraph + +import javax.inject.Inject +import javax.inject.Singleton + +case object ListMembersFeature extends FeatureWithDefaultOnFailure[PipelineQuery, Seq[Long]] { + override val defaultValue: Seq[Long] = Seq.empty +} + +@Singleton +class ListMembersQueryFeatureHydrator @Inject() (socialGraph: SocialGraph) + extends QueryFeatureHydrator[PipelineQuery with HasListId] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("ListMembers") + + override val features: Set[Feature[_, _]] = Set(ListMembersFeature) + + private val MaxRecentMembers = 10 + + override def hydrate(query: PipelineQuery with HasListId): Stitch[FeatureMap] = { + val request = sg.IdsRequest( + relationships = Seq(sg + .SrcRelationship(query.listId, sg.RelationshipType.ListHasMember, hasRelationship = true)), + pageRequest = Some(sg.PageRequest(selectAll = Some(true), count = Some(MaxRecentMembers))) + ) + socialGraph.ids(request).map(_.ids).map { listMembers => + FeatureMapBuilder().add(ListMembersFeature, listMembers).build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/MetricCenterUserCountingFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/MetricCenterUserCountingFeatureHydrator.scala new file mode 100644 index 000000000..de0b195e0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/MetricCenterUserCountingFeatureHydrator.scala @@ -0,0 +1,81 @@ +package com.twitter.home_mixer +package functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.MetricCenterUserCountingFeatureRepository +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.onboarding.relevance.features.{thriftjava => rf} +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.keyvalue.KeyValueResult +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch +import com.twitter.util.Future + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +object MetricCenterUserCountingFeature + extends Feature[TweetCandidate, Option[rf.MCUserCountingFeatures]] + +@Singleton +class MetricCenterUserCountingFeatureHydrator @Inject() ( + @Named(MetricCenterUserCountingFeatureRepository) client: KeyValueRepository[Seq[ + Long + ], Long, rf.MCUserCountingFeatures], + override val statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with ObservedKeyValueResultHandler { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("MetricCenterUserCounting") + + override val features: Set[Feature[_, _]] = Set(MetricCenterUserCountingFeature) + + override val statScope: String = identifier.toString + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + Stitch.callFuture { + val possiblyAuthorIds = extractKeys(candidates) + val userIds = possiblyAuthorIds.flatten + + val response: Future[KeyValueResult[Long, rf.MCUserCountingFeatures]] = if (userIds.isEmpty) { + Future.value(KeyValueResult.empty) + } else { + client(userIds) + } + + response.map { result => + possiblyAuthorIds.map { possiblyAuthorId => + val value = observedGet(key = possiblyAuthorId, keyValueResult = result) + + FeatureMapBuilder() + .add(MetricCenterUserCountingFeature, value) + .build() + } + } + } + } + + private def extractKeys( + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[Long]] = { + candidates.map { candidate => + candidate.features + .getTry(AuthorIdFeature) + .toOption + .flatten + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/NamesFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/NamesFeatureHydrator.scala new file mode 100644 index 000000000..ede075e5c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/NamesFeatureHydrator.scala @@ -0,0 +1,97 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.gizmoduck.{thriftscala => gt} +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FavoritedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.FollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.RealNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.ScreenNamesFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.param.HomeGlobalParams.EnableNahFeedbackInfoParam +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.Conditionally +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.stitch.gizmoduck.Gizmoduck +import com.twitter.util.Return +import javax.inject.Inject +import javax.inject.Singleton + +protected case class ProfileNames(screenName: String, realName: String) + +@Singleton +class NamesFeatureHydrator @Inject() (gizmoduck: Gizmoduck) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with Conditionally[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("Names") + + override val features: Set[Feature[_, _]] = Set(ScreenNamesFeature, RealNamesFeature) + + override def onlyIf(query: PipelineQuery): Boolean = query.product match { + case FollowingProduct => query.params(EnableNahFeedbackInfoParam) + case _ => true + } + + private val queryFields: Set[gt.QueryFields] = Set(gt.QueryFields.Profile) + + /** + * The UI currently only ever displays the first 2 names in social context lines + * E.g. "User and 3 others like" or "UserA and UserB liked" + */ + private val MaxCountUsers = 2 + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + + val candidateUserIdsMap = candidates.map { candidate => + candidate.candidate.id -> + (candidate.features.getOrElse(FavoritedByUserIdsFeature, Nil).take(MaxCountUsers) ++ + candidate.features.getOrElse(FollowedByUserIdsFeature, Nil).take(MaxCountUsers) ++ + candidate.features.getOrElse(AuthorIdFeature, None) ++ + candidate.features.getOrElse(SourceUserIdFeature, None)).distinct + }.toMap + + val distinctUserIds = candidateUserIdsMap.values.flatten.toSeq.distinct + + Stitch + .collectToTry(distinctUserIds.map(userId => gizmoduck.getUserById(userId, queryFields))) + .map { allUsers => + val idToProfileNamesMap = allUsers.flatMap { + case Return(allUser) => + allUser.profile + .map(profile => allUser.id -> ProfileNames(profile.screenName, profile.name)) + case _ => None + }.toMap + + val validUserIds = idToProfileNamesMap.keySet + + candidates.map { candidate => + val combinedMap = candidateUserIdsMap + .getOrElse(candidate.candidate.id, Nil) + .flatMap { + case userId if validUserIds.contains(userId) => + idToProfileNamesMap.get(userId).map(profileNames => userId -> profileNames) + case _ => None + } + + val perCandidateRealNameMap = combinedMap.map { case (k, v) => k -> v.realName }.toMap + val perCandidateScreenNameMap = combinedMap.map { case (k, v) => k -> v.screenName }.toMap + + FeatureMapBuilder() + .add(ScreenNamesFeature, perCandidateScreenNameMap) + .add(RealNamesFeature, perCandidateRealNameMap) + .build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/PersistenceStoreQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/PersistenceStoreQueryFeatureHydrator.scala new file mode 100644 index 000000000..10f42865c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/PersistenceStoreQueryFeatureHydrator.scala @@ -0,0 +1,95 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.conversions.DurationOps._ +import com.twitter.common_internal.analytics.twitter_client_user_agent_parser.UserAgent +import com.twitter.home_mixer.model.HomeFeatures.PersistenceEntriesFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedTweetIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.WhoToFollowExcludedUserIdsFeature +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelinemixer.clients.persistence.TimelineResponseBatchesClient +import com.twitter.timelinemixer.clients.persistence.TimelineResponseV3 +import com.twitter.timelines.util.client_info.ClientPlatform +import com.twitter.timelineservice.model.TimelineQuery +import com.twitter.timelineservice.model.core.TimelineKind +import com.twitter.timelineservice.model.rich.EntityIdType +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class PersistenceStoreQueryFeatureHydrator @Inject() ( + timelineResponseBatchesClient: TimelineResponseBatchesClient[TimelineResponseV3]) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("PersistenceStore") + + private val WhoToFollowExcludedUserIdsLimit = 1000 + private val ServedTweetIdsDuration = 1.hour + private val ServedTweetIdsLimit = 100 + + override val features: Set[Feature[_, _]] = + Set(ServedTweetIdsFeature, PersistenceEntriesFeature, WhoToFollowExcludedUserIdsFeature) + + private val supportedClients = Seq( + ClientPlatform.IPhone, + ClientPlatform.IPad, + ClientPlatform.Mac, + ClientPlatform.Android, + ClientPlatform.Web, + ClientPlatform.RWeb, + ClientPlatform.TweetDeckGryphon + ) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val timelineKind = query.product match { + case FollowingProduct => TimelineKind.homeLatest + case ForYouProduct => TimelineKind.home + case other => throw new UnsupportedOperationException(s"Unknown product: $other") + } + val timelineQuery = TimelineQuery(id = query.getRequiredUserId, kind = timelineKind) + + Stitch.callFuture { + timelineResponseBatchesClient + .get(query = timelineQuery, clientPlatforms = supportedClients) + .map { timelineResponses => + // Note that the WTF entries are not being scoped by ClientPlatform + val whoToFollowUserIds = timelineResponses + .flatMap { timelineResponse => + timelineResponse.entries + .filter(_.entityIdType == EntityIdType.WhoToFollow) + .flatMap(_.itemIds.toSeq.flatMap(_.flatMap(_.userId))) + }.take(WhoToFollowExcludedUserIdsLimit) + + val clientPlatform = ClientPlatform.fromQueryOptions( + clientAppId = query.clientContext.appId, + userAgent = query.clientContext.userAgent.flatMap(UserAgent.fromString)) + + val servedTweetIds = timelineResponses + .filter(_.clientPlatform == clientPlatform) + .filter(_.servedTime >= Time.now - ServedTweetIdsDuration) + .sortBy(-_.servedTime.inMilliseconds) + .flatMap( + _.entries.flatMap(_.tweetIds(includeSourceTweets = true)).take(ServedTweetIdsLimit)) + + FeatureMapBuilder() + .add(ServedTweetIdsFeature, servedTweetIds) + .add(PersistenceEntriesFeature, timelineResponses) + .add(WhoToFollowExcludedUserIdsFeature, whoToFollowUserIds) + .build() + } + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.7, 50, 60, 60) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/PerspectiveFilteredSocialContextFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/PerspectiveFilteredSocialContextFeatureHydrator.scala new file mode 100644 index 000000000..1c8dedc65 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/PerspectiveFilteredSocialContextFeatureHydrator.scala @@ -0,0 +1,71 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.FavoritedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.PerspectiveFilteredLikedByUserIdsFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.stitch.timelineservice.TimelineService +import com.twitter.stitch.timelineservice.TimelineService.GetPerspectives +import com.twitter.timelineservice.thriftscala.PerspectiveType +import com.twitter.timelineservice.thriftscala.PerspectiveType.Favorited +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Filter out unlike edges from liked-by tweets + * Useful if the likes come from a cache and because UTEG does not fully remove unlike edges. + */ +@Singleton +class PerspectiveFilteredSocialContextFeatureHydrator @Inject() (timelineService: TimelineService) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("PerspectiveFilteredSocialContext") + + override val features: Set[Feature[_, _]] = Set(PerspectiveFilteredLikedByUserIdsFeature) + + private val MaxCountUsers = 10 + private val favoritePerspectiveSet: Set[PerspectiveType] = Set(Favorited) + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val engagingUserIdtoTweetId = candidates.flatMap { candidate => + candidate.features + .get(FavoritedByUserIdsFeature).take(MaxCountUsers) + .map(favoritedBy => favoritedBy -> candidate.candidate.id) + } + + val queries = engagingUserIdtoTweetId.map { + case (userId, tweetId) => + GetPerspectives.Query(userId = userId, tweetId = tweetId, types = favoritePerspectiveSet) + } + + Stitch.collect(queries.map(timelineService.getPerspective)).map { perspectiveResults => + val validUserIdTweetIds: Set[(Long, Long)] = + queries + .zip(perspectiveResults) + .collect { case (query, perspective) if perspective.favorited => query } + .map(query => (query.userId, query.tweetId)) + .toSet + + candidates.map { candidate => + val perspectiveFilteredFavoritedByUserIds: Seq[Long] = candidate.features + .get(FavoritedByUserIdsFeature).take(MaxCountUsers) + .filter { userId => validUserIdTweetIds.contains((userId, candidate.candidate.id)) } + + FeatureMapBuilder() + .add(PerspectiveFilteredLikedByUserIdsFeature, perspectiveFilteredFavoritedByUserIds) + .build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphInNetworkScoresQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphInNetworkScoresQueryFeatureHydrator.scala new file mode 100644 index 000000000..f04490625 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphInNetworkScoresQueryFeatureHydrator.scala @@ -0,0 +1,42 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.RealGraphInNetworkScoresFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealGraphInNetworkScores +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.storehaus.ReadableStore +import com.twitter.wtf.candidate.{thriftscala => wtf} +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +case class RealGraphInNetworkScoresQueryFeatureHydrator @Inject() ( + @Named(RealGraphInNetworkScores) store: ReadableStore[Long, Seq[wtf.Candidate]]) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("RealGraphInNetworkScores") + + override val features: Set[Feature[_, _]] = Set(RealGraphInNetworkScoresFeature) + + private val RealGraphCandidateCount = 1000 + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + Stitch.callFuture(store.get(query.getRequiredUserId)).map { realGraphFollowedUsers => + val realGraphScoresFeatures = realGraphFollowedUsers + .getOrElse(Seq.empty) + .sortBy(-_.score) + .map(candidate => candidate.userId -> candidate.score) + .take(RealGraphCandidateCount) + .toMap + + FeatureMapBuilder().add(RealGraphInNetworkScoresFeature, realGraphScoresFeatures).build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphQueryFeatureHydrator.scala new file mode 100644 index 000000000..4eb735714 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphQueryFeatureHydrator.scala @@ -0,0 +1,48 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealGraphFeatureRepository +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.repository.Repository +import com.twitter.timelines.real_graph.{thriftscala => rg} +import com.twitter.stitch.Stitch +import com.twitter.timelines.model.UserId +import com.twitter.timelines.real_graph.v1.thriftscala.RealGraphEdgeFeatures +import com.twitter.user_session_store.{thriftscala => uss} + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +object RealGraphFeatures extends Feature[PipelineQuery, Option[Map[UserId, RealGraphEdgeFeatures]]] + +@Singleton +class RealGraphQueryFeatureHydrator @Inject() ( + @Named(RealGraphFeatureRepository) repository: Repository[Long, Option[uss.UserSession]]) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("RealGraphFeatures") + + override val features: Set[Feature[_, _]] = Set(RealGraphFeatures) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + Stitch.callFuture { + repository(query.getRequiredUserId).map { userSession => + val realGraphFeaturesMap = userSession.flatMap { userSession => + userSession.realGraphFeatures.collect { + case rg.RealGraphFeatures.V1(realGraphFeatures) => + val edgeFeatures = realGraphFeatures.edgeFeatures ++ realGraphFeatures.oonEdgeFeatures + edgeFeatures.map { edge => edge.destId -> edge }.toMap + } + } + + FeatureMapBuilder().add(RealGraphFeatures, realGraphFeaturesMap).build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphViewerAuthorFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphViewerAuthorFeatureHydrator.scala new file mode 100644 index 000000000..05b434ccf --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphViewerAuthorFeatureHydrator.scala @@ -0,0 +1,123 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.functional_component.feature_hydrator.RealGraphViewerAuthorFeatureHydrator.getCombinedRealGraphFeatures +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToUserIdFeature +import com.twitter.home_mixer.util.MissingKeyException +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.CandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.prediction.adapters.real_graph.RealGraphEdgeFeaturesCombineAdapter +import com.twitter.timelines.prediction.adapters.real_graph.RealGraphFeaturesAdapter +import com.twitter.timelines.real_graph.v1.{thriftscala => v1} +import com.twitter.timelines.real_graph.{thriftscala => rg} +import com.twitter.util.Throw +import javax.inject.Inject +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object RealGraphViewerAuthorDataRecordFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +object RealGraphViewerAuthorsDataRecordFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class RealGraphViewerAuthorFeatureHydrator @Inject() () + extends CandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("RealGraphViewerAuthor") + + override val features: Set[Feature[_, _]] = + Set(RealGraphViewerAuthorDataRecordFeature, RealGraphViewerAuthorsDataRecordFeature) + + private val realGraphEdgeFeaturesAdapter = new RealGraphFeaturesAdapter + private val realGraphEdgeFeaturesCombineAdapter = + new RealGraphEdgeFeaturesCombineAdapter(prefix = "authors.realgraph") + + private val MissingKeyFeatureMap = FeatureMapBuilder() + .add(RealGraphViewerAuthorDataRecordFeature, Throw(MissingKeyException)) + .add(RealGraphViewerAuthorsDataRecordFeature, Throw(MissingKeyException)) + .build() + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + existingFeatures: FeatureMap + ): Stitch[FeatureMap] = { + val viewerId = query.getRequiredUserId + val realGraphFeatures = query.features + .flatMap(_.getOrElse(RealGraphFeatures, None)) + .getOrElse(Map.empty[Long, v1.RealGraphEdgeFeatures]) + + val result: FeatureMap = existingFeatures.getOrElse(AuthorIdFeature, None) match { + case Some(authorId) => + val realGraphAuthorFeatures = + getRealGraphViewerAuthorFeatures(viewerId, authorId, realGraphFeatures) + val realGraphAuthorDataRecord = realGraphEdgeFeaturesAdapter + .adaptToDataRecords(realGraphAuthorFeatures).asScala.headOption.getOrElse(new DataRecord) + + val combinedRealGraphFeaturesDataRecord = for { + inReplyToAuthorId <- existingFeatures.getOrElse(InReplyToUserIdFeature, None) + } yield { + val combinedRealGraphFeatures = + getCombinedRealGraphFeatures(Seq(authorId, inReplyToAuthorId), realGraphFeatures) + realGraphEdgeFeaturesCombineAdapter + .adaptToDataRecords(Some(combinedRealGraphFeatures)).asScala.headOption + .getOrElse(new DataRecord) + } + + FeatureMapBuilder() + .add(RealGraphViewerAuthorDataRecordFeature, realGraphAuthorDataRecord) + .add( + RealGraphViewerAuthorsDataRecordFeature, + combinedRealGraphFeaturesDataRecord.getOrElse(new DataRecord)) + .build() + case _ => MissingKeyFeatureMap + } + Stitch(result) + } + + private def getRealGraphViewerAuthorFeatures( + viewerId: Long, + authorId: Long, + realGraphEdgeFeaturesMap: Map[Long, v1.RealGraphEdgeFeatures] + ): rg.UserRealGraphFeatures = { + realGraphEdgeFeaturesMap.get(authorId) match { + case Some(realGraphEdgeFeatures) => + rg.UserRealGraphFeatures( + srcId = viewerId, + features = rg.RealGraphFeatures.V1( + v1.RealGraphFeatures(edgeFeatures = Seq(realGraphEdgeFeatures)))) + case _ => + rg.UserRealGraphFeatures( + srcId = viewerId, + features = rg.RealGraphFeatures.V1(v1.RealGraphFeatures(edgeFeatures = Seq.empty))) + } + } +} + +object RealGraphViewerAuthorFeatureHydrator { + def getCombinedRealGraphFeatures( + userIds: Seq[Long], + realGraphEdgeFeaturesMap: Map[Long, v1.RealGraphEdgeFeatures] + ): rg.RealGraphFeatures = { + val edgeFeatures = userIds.flatMap(realGraphEdgeFeaturesMap.get) + rg.RealGraphFeatures.V1(v1.RealGraphFeatures(edgeFeatures = edgeFeatures)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphViewerRelatedUsersFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphViewerRelatedUsersFeatureHydrator.scala new file mode 100644 index 000000000..45897ec05 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealGraphViewerRelatedUsersFeatureHydrator.scala @@ -0,0 +1,74 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.DirectedAtUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.MentionUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.CandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.prediction.adapters.real_graph.RealGraphEdgeFeaturesCombineAdapter +import com.twitter.timelines.real_graph.v1.{thriftscala => v1} +import javax.inject.Inject +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object RealGraphViewerRelatedUsersDataRecordFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class RealGraphViewerRelatedUsersFeatureHydrator @Inject() () + extends CandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("RealGraphViewerRelatedUsers") + + override val features: Set[Feature[_, _]] = Set(RealGraphViewerRelatedUsersDataRecordFeature) + + private val RealGraphEdgeFeaturesCombineAdapter = new RealGraphEdgeFeaturesCombineAdapter + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + existingFeatures: FeatureMap + ): Stitch[FeatureMap] = { + val realGraphQueryFeatures = query.features + .flatMap(_.getOrElse(RealGraphFeatures, None)) + .getOrElse(Map.empty[Long, v1.RealGraphEdgeFeatures]) + + val allRelatedUserIds = getRelatedUserIds(existingFeatures) + val realGraphFeatures = + RealGraphViewerAuthorFeatureHydrator.getCombinedRealGraphFeatures( + allRelatedUserIds, + realGraphQueryFeatures) + val realGraphFeaturesDataRecord = RealGraphEdgeFeaturesCombineAdapter + .adaptToDataRecords(Some(realGraphFeatures)).asScala.headOption + .getOrElse(new DataRecord) + + Stitch.value { + FeatureMapBuilder() + .add(RealGraphViewerRelatedUsersDataRecordFeature, realGraphFeaturesDataRecord) + .build() + } + } + + private def getRelatedUserIds(features: FeatureMap): Seq[Long] = { + (CandidatesUtil.getEngagerUserIds(features) ++ + features.getOrElse(AuthorIdFeature, None) ++ + features.getOrElse(MentionUserIdFeature, Seq.empty) ++ + features.getOrElse(SourceUserIdFeature, None) ++ + features.getOrElse(DirectedAtUserIdFeature, None)).distinct + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealTimeInteractionGraphEdgeFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealTimeInteractionGraphEdgeFeatureHydrator.scala new file mode 100644 index 000000000..8f6435356 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealTimeInteractionGraphEdgeFeatureHydrator.scala @@ -0,0 +1,64 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.prediction.adapters.realtime_interaction_graph.RealTimeInteractionGraphFeaturesAdapter +import com.twitter.timelines.prediction.features.realtime_interaction_graph.RealTimeInteractionGraphEdgeFeatures +import com.twitter.util.Time + +import javax.inject.Inject +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object RealTimeInteractionGraphEdgeFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class RealTimeInteractionGraphEdgeFeatureHydrator @Inject() () + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier( + "RealTimeInteractionGraphEdge") + + override val features: Set[Feature[_, _]] = Set(RealTimeInteractionGraphEdgeFeature) + + private val realTimeInteractionGraphFeaturesAdapter = new RealTimeInteractionGraphFeaturesAdapter + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val userVertex = + query.features.flatMap(_.getOrElse(RealTimeInteractionGraphUserVertexQueryFeature, None)) + val realTimeInteractionGraphFeaturesMap = + userVertex.map(RealTimeInteractionGraphEdgeFeatures(_, Time.now)) + + Stitch.value { + candidates.map { candidate => + val feature = candidate.features.getOrElse(AuthorIdFeature, None).flatMap { authorId => + realTimeInteractionGraphFeaturesMap.flatMap(_.get(authorId)) + } + + FeatureMapBuilder() + .add( + RealTimeInteractionGraphEdgeFeature, + realTimeInteractionGraphFeaturesAdapter.adaptToDataRecords(feature).asScala.head) + .build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealTimeInteractionGraphUserVertexQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealTimeInteractionGraphUserVertexQueryFeatureHydrator.scala new file mode 100644 index 000000000..899f07630 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RealTimeInteractionGraphUserVertexQueryFeatureHydrator.scala @@ -0,0 +1,49 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealTimeInteractionGraphUserVertexCache +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.stitch.Stitch +import com.twitter.wtf.real_time_interaction_graph.{thriftscala => ig} + +import javax.inject.Inject +import javax.inject.Singleton + +object RealTimeInteractionGraphUserVertexQueryFeature + extends Feature[PipelineQuery, Option[ig.UserVertex]] + +@Singleton +class RealTimeInteractionGraphUserVertexQueryFeatureHydrator @Inject() ( + @Named(RealTimeInteractionGraphUserVertexCache) client: ReadCache[Long, ig.UserVertex], + override val statsReceiver: StatsReceiver) + extends QueryFeatureHydrator[PipelineQuery] + with ObservedKeyValueResultHandler { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("RealTimeInteractionGraphUserVertex") + + override val features: Set[Feature[_, _]] = Set(RealTimeInteractionGraphUserVertexQueryFeature) + + override val statScope: String = identifier.toString + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val userId = query.getRequiredUserId + + Stitch.callFuture( + client.get(Seq(userId)).map { results => + val feature = observedGet(key = Some(userId), keyValueResult = results) + FeatureMapBuilder() + .add(RealTimeInteractionGraphUserVertexQueryFeature, feature) + .build() + } + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ReplyFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ReplyFeatureHydrator.scala new file mode 100644 index 000000000..5833838f1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/ReplyFeatureHydrator.scala @@ -0,0 +1,196 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.home_mixer.util.ReplyRetweetUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.search.common.features.thriftscala.ThriftTweetFeatures +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.stitch.Stitch +import com.twitter.timelines.conversation_features.v1.thriftscala.ConversationFeatures +import com.twitter.util.Duration +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +object InReplyToTweetHydratedEarlybirdFeature + extends Feature[TweetCandidate, Option[ThriftTweetFeatures]] + +/** + * The purpose of this hydrator is to + * 1) hydrate simple features into replies and their ancestor tweets + * 2) keep both the normal replies and ancestor source candidates, but hydrate into the candidates + * features useful for predicting the quality of the replies and source ancestor tweets. + */ +@Singleton +class ReplyFeatureHydrator @Inject() (statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("ReplyTweet") + + override val features: Set[Feature[_, _]] = Set( + ConversationFeature, + InReplyToTweetHydratedEarlybirdFeature + ) + + private val DefaultFeatureMap = FeatureMapBuilder() + .add(ConversationFeature, None) + .add(InReplyToTweetHydratedEarlybirdFeature, None) + .build() + + private val scopedStatsReceiver = statsReceiver.scope(getClass.getSimpleName) + private val hydratedReplyCounter = scopedStatsReceiver.counter("hydratedReply") + private val hydratedAncestorCounter = scopedStatsReceiver.counter("hydratedAncestor") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val replyToInReplyToTweetMap = + ReplyRetweetUtil.replyTweetIdToInReplyToTweetMap(candidates) + val candidatesWithRepliesHydrated = candidates.map { candidate => + replyToInReplyToTweetMap + .get(candidate.candidate.id).map { inReplyToTweet => + hydratedReplyCounter.incr() + hydratedReplyCandidate(candidate, inReplyToTweet) + }.getOrElse((candidate, None, None)) + } + + /** + * Update ancestor tweets with descendant replies and hydrate simple features from one of + * the descendants. + */ + val ancestorTweetToDescendantRepliesMap = + ReplyRetweetUtil.ancestorTweetIdToDescendantRepliesMap(candidates) + val candidatesWithRepliesAndAncestorTweetsHydrated = candidatesWithRepliesHydrated.map { + case ( + maybeAncestorTweetCandidate, + updatedReplyConversationFeatures, + inReplyToTweetEarlyBirdFeature) => + ancestorTweetToDescendantRepliesMap + .get(maybeAncestorTweetCandidate.candidate.id) + .map { descendantReplies => + hydratedAncestorCounter.incr() + val (ancestorTweetCandidate, updatedConversationFeatures): ( + CandidateWithFeatures[TweetCandidate], + Option[ConversationFeatures] + ) = + hydrateAncestorTweetCandidate( + maybeAncestorTweetCandidate, + descendantReplies, + updatedReplyConversationFeatures) + (ancestorTweetCandidate, inReplyToTweetEarlyBirdFeature, updatedConversationFeatures) + } + .getOrElse( + ( + maybeAncestorTweetCandidate, + inReplyToTweetEarlyBirdFeature, + updatedReplyConversationFeatures)) + } + Stitch.value( + candidatesWithRepliesAndAncestorTweetsHydrated.map { + case (candidate, inReplyToTweetEarlyBirdFeature, updatedConversationFeatures) => + FeatureMapBuilder() + .add(ConversationFeature, updatedConversationFeatures) + .add(InReplyToTweetHydratedEarlybirdFeature, inReplyToTweetEarlyBirdFeature) + .build() + case _ => DefaultFeatureMap + } + ) + } + + private def hydratedReplyCandidate( + replyCandidate: CandidateWithFeatures[TweetCandidate], + inReplyToTweetCandidate: CandidateWithFeatures[TweetCandidate] + ): ( + CandidateWithFeatures[TweetCandidate], + Option[ConversationFeatures], + Option[ThriftTweetFeatures] + ) = { + val tweetedAfterInReplyToTweetInSecs = + ( + originalTweetAgeFromSnowflake(inReplyToTweetCandidate), + originalTweetAgeFromSnowflake(replyCandidate)) match { + case (Some(inReplyToTweetAge), Some(replyTweetAge)) => + Some((inReplyToTweetAge - replyTweetAge).inSeconds.toLong) + case _ => None + } + + val existingConversationFeatures = Some( + replyCandidate.features + .getOrElse(ConversationFeature, None).getOrElse(ConversationFeatures())) + + val updatedConversationFeatures = existingConversationFeatures match { + case Some(v1) => + Some( + v1.copy( + tweetedAfterInReplyToTweetInSecs = tweetedAfterInReplyToTweetInSecs, + isSelfReply = Some( + replyCandidate.features.getOrElse( + AuthorIdFeature, + None) == inReplyToTweetCandidate.features.getOrElse(AuthorIdFeature, None)) + ) + ) + case _ => None + } + + // Note: if inReplyToTweet is a retweet, we need to read early bird feature from the merged + // early bird feature field from RetweetSourceTweetFeatureHydrator class. + // But if inReplyToTweet is a reply, we return its early bird feature directly + val inReplyToTweetThriftTweetFeaturesOpt = { + if (inReplyToTweetCandidate.features.getOrElse(IsRetweetFeature, false)) { + inReplyToTweetCandidate.features.getOrElse(SourceTweetEarlybirdFeature, None) + } else { + inReplyToTweetCandidate.features.getOrElse(EarlybirdFeature, None) + } + } + + (replyCandidate, updatedConversationFeatures, inReplyToTweetThriftTweetFeaturesOpt) + } + + private def hydrateAncestorTweetCandidate( + ancestorTweetCandidate: CandidateWithFeatures[TweetCandidate], + descendantReplies: Seq[CandidateWithFeatures[TweetCandidate]], + updatedReplyConversationFeatures: Option[ConversationFeatures] + ): (CandidateWithFeatures[TweetCandidate], Option[ConversationFeatures]) = { + // Ancestor could be a reply. For example, in thread: tweetA -> tweetB -> tweetC, + // tweetB is a reply and ancestor at the same time. Hence, tweetB's conversation feature + // will be updated by hydratedReplyCandidate and hydrateAncestorTweetCandidate functions. + val existingConversationFeatures = + if (updatedReplyConversationFeatures.nonEmpty) + updatedReplyConversationFeatures + else + Some( + ancestorTweetCandidate.features + .getOrElse(ConversationFeature, None).getOrElse(ConversationFeatures())) + + val updatedConversationFeatures = existingConversationFeatures match { + case Some(v1) => + Some( + v1.copy( + hasDescendantReplyCandidate = Some(true), + hasInNetworkDescendantReply = + Some(descendantReplies.exists(_.features.getOrElse(InNetworkFeature, false))) + )) + case _ => None + } + (ancestorTweetCandidate, updatedConversationFeatures) + } + + private def originalTweetAgeFromSnowflake( + candidate: CandidateWithFeatures[TweetCandidate] + ): Option[Duration] = { + SnowflakeId + .timeFromIdOpt( + candidate.features + .getOrElse(SourceTweetIdFeature, None).getOrElse(candidate.candidate.id)) + .map(Time.now - _) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RequestQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RequestQueryFeatureHydrator.scala new file mode 100644 index 000000000..7381f989b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RequestQueryFeatureHydrator.scala @@ -0,0 +1,128 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.config.yaml.YamlMap +import com.twitter.finagle.tracing.Annotation.BinaryAnnotation +import com.twitter.finagle.tracing.ForwardAnnotation +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.home_mixer.model.request.DeviceContext.RequestContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.param.HomeMixerInjectionNames.DDGStatsAuthors +import com.twitter.joinkey.context.RequestJoinKeyContext +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.BottomCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.GapCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.product_mixer.core.pipeline.HasPipelineCursor +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.search.common.util.lang.ThriftLanguageUtil +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.stitch.Stitch +import java.util.UUID +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class RequestQueryFeatureHydrator[ + Query <: PipelineQuery with HasPipelineCursor[UrtOrderedCursor] with HasDeviceContext] @Inject() ( + @Named(DDGStatsAuthors) ddgStatsAuthors: YamlMap) + extends QueryFeatureHydrator[Query] { + + override val features: Set[Feature[_, _]] = Set( + AccountAgeFeature, + ClientIdFeature, + DDGStatsDemocratsFeature, + DDGStatsRepublicansFeature, + DDGStatsElonFeature, + DDGStatsVitsFeature, + DeviceLanguageFeature, + GetInitialFeature, + GetMiddleFeature, + GetNewerFeature, + GetOlderFeature, + GuestIdFeature, + HasDarkRequestFeature, + IsForegroundRequestFeature, + IsLaunchRequestFeature, + PollingFeature, + PullToRefreshFeature, + RequestJoinIdFeature, + ServedRequestIdFeature, + ViewerIdFeature + ) + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("Request") + + private val DarkRequestAnnotation = "clnt/has_dark_request" + private val Democrats = "democrats" + private val Republicans = "republicans" + private val Elon = "elon" + private val Vits = "vits" + + // Convert Language code to ISO 639-3 format + private def getLanguageISOFormatByCode(languageCode: String): String = + ThriftLanguageUtil.getLanguageCodeOf(ThriftLanguageUtil.getThriftLanguageOf(languageCode)) + + private def getRequestJoinId(servedRequestId: Long): Option[Long] = + Some(RequestJoinKeyContext.current.flatMap(_.requestJoinId).getOrElse(servedRequestId)) + + private def hasDarkRequest: Option[Boolean] = ForwardAnnotation.current + .getOrElse(Seq[BinaryAnnotation]()) + .find(_.key == DarkRequestAnnotation) + .map(_.value.asInstanceOf[Boolean]) + + override def hydrate(query: Query): Stitch[FeatureMap] = { + val requestContext = query.deviceContext.flatMap(_.requestContextValue) + val servedRequestId = UUID.randomUUID.getMostSignificantBits + + val featureMap = FeatureMapBuilder() + .add(AccountAgeFeature, query.getOptionalUserId.flatMap(SnowflakeId.timeFromIdOpt)) + .add(ClientIdFeature, query.clientContext.appId) + /** + * These author ID lists are used purely for metrics collection. We track how often we are + * serving Tweets from these authors and how often their tweets are being impressed by users. + * This helps us validate in our A/B experimentation platform that we do not ship changes + * that negatively impacts one group over others. + */ + .add(DDGStatsDemocratsFeature, ddgStatsAuthors.longSeq(Democrats).toSet) + .add(DDGStatsRepublicansFeature, ddgStatsAuthors.longSeq(Republicans).toSet) + .add(DDGStatsVitsFeature, ddgStatsAuthors.longSeq(Vits).toSet) + .add(DDGStatsElonFeature, ddgStatsAuthors.longValue(Elon)) + .add(DeviceLanguageFeature, query.getLanguageCode.map(getLanguageISOFormatByCode)) + .add( + GetInitialFeature, + query.pipelineCursor.forall(cursor => cursor.id.isEmpty && cursor.gapBoundaryId.isEmpty)) + .add( + GetMiddleFeature, + query.pipelineCursor.exists(cursor => + cursor.id.isDefined && cursor.gapBoundaryId.isDefined && + cursor.cursorType.contains(GapCursor))) + .add( + GetNewerFeature, + query.pipelineCursor.exists(cursor => + cursor.id.isDefined && cursor.gapBoundaryId.isEmpty && + cursor.cursorType.contains(TopCursor))) + .add( + GetOlderFeature, + query.pipelineCursor.exists(cursor => + cursor.id.isDefined && cursor.gapBoundaryId.isEmpty && + cursor.cursorType.contains(BottomCursor))) + .add(GuestIdFeature, query.clientContext.guestId) + .add(IsForegroundRequestFeature, requestContext.contains(RequestContext.Foreground)) + .add(IsLaunchRequestFeature, requestContext.contains(RequestContext.Launch)) + .add(PollingFeature, query.deviceContext.exists(_.isPolling.contains(true))) + .add(PullToRefreshFeature, requestContext.contains(RequestContext.PullToRefresh)) + .add(ServedRequestIdFeature, Some(servedRequestId)) + .add(RequestJoinIdFeature, getRequestJoinId(servedRequestId)) + .add(HasDarkRequestFeature, hasDarkRequest) + .add(ViewerIdFeature, query.getRequiredUserId) + .build() + + Stitch.value(featureMap) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RetweetSourceTweetFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RetweetSourceTweetFeatureHydrator.scala new file mode 100644 index 000000000..98385b130 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/RetweetSourceTweetFeatureHydrator.scala @@ -0,0 +1,76 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.product_mixer.component_library.candidate_source.timeline_ranker.TimelineRankerInNetworkSourceTweetsByTweetIdMapFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.search.common.features.thriftscala.ThriftTweetFeatures +import com.twitter.stitch.Stitch +import com.twitter.timelineranker.thriftscala.CandidateTweet + +object SourceTweetEarlybirdFeature extends Feature[TweetCandidate, Option[ThriftTweetFeatures]] + +/** + * Feature Hydrator that bulk hydrates source tweets' features to retweet candidates + */ +object RetweetSourceTweetFeatureHydrator + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier( + "RetweetSourceTweet") + + override val features: Set[Feature[_, _]] = Set( + SourceTweetEarlybirdFeature, + ) + + private val DefaultFeatureMap = FeatureMapBuilder() + .add(SourceTweetEarlybirdFeature, None) + .build() + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val sourceTweetsByTweetId: Option[Map[Long, CandidateTweet]] = { + query.features.map( + _.getOrElse( + TimelineRankerInNetworkSourceTweetsByTweetIdMapFeature, + Map.empty[Long, CandidateTweet])) + } + + /** + * Return DefaultFeatureMap (no-op to candidate) when it is unfeasible to hydrate the + * source tweet's feature to the current candidate: early bird does not return source + * tweets info / candidate is not a retweet / sourceTweetId is not found + */ + Stitch.value { + if (sourceTweetsByTweetId.exists(_.nonEmpty)) { + candidates.map { candidate => + val candidateIsRetweet = candidate.features.getOrElse(IsRetweetFeature, false) + val sourceTweetId = candidate.features.getOrElse(SourceTweetIdFeature, None) + if (!candidateIsRetweet || sourceTweetId.isEmpty) { + DefaultFeatureMap + } else { + val sourceTweet = sourceTweetsByTweetId.flatMap(_.get(sourceTweetId.get)) + if (sourceTweet.nonEmpty) { + val source = sourceTweet.get + FeatureMapBuilder() + .add(SourceTweetEarlybirdFeature, source.features) + .build() + } else { + DefaultFeatureMap + } + } + } + } else { + candidates.map(_ => DefaultFeatureMap) + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SGSFollowedUsersQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SGSFollowedUsersQueryFeatureHydrator.scala new file mode 100644 index 000000000..e2aa73de8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SGSFollowedUsersQueryFeatureHydrator.scala @@ -0,0 +1,46 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.socialgraph.{thriftscala => sg} +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.{SocialGraph => SocialGraphStitchClient} +import javax.inject.Inject +import javax.inject.Singleton + +object SGSFollowedUsersFeature extends Feature[PipelineQuery, Seq[Long]] + +@Singleton +case class SGSFollowedUsersQueryFeatureHydrator @Inject() ( + socialGraphStitchClient: SocialGraphStitchClient) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("SGSFollowedUsers") + + override val features: Set[Feature[_, _]] = Set(SGSFollowedUsersFeature) + + private val SocialGraphLimit = 14999 + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val userId = query.getRequiredUserId + + val request = sg.IdsRequest( + relationships = Seq( + sg.SrcRelationship(userId, sg.RelationshipType.Following, hasRelationship = true), + sg.SrcRelationship(userId, sg.RelationshipType.Muting, hasRelationship = false) + ), + pageRequest = Some(sg.PageRequest(count = Some(SocialGraphLimit))) + ) + + socialGraphStitchClient + .ids(request).map(_.ids) + .map { followedUsers => + FeatureMapBuilder().add(SGSFollowedUsersFeature, followedUsers).build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SGSValidSocialContextFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SGSValidSocialContextFeatureHydrator.scala new file mode 100644 index 000000000..1ba706dd1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SGSValidSocialContextFeatureHydrator.scala @@ -0,0 +1,105 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.FavoritedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.FollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidFollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidLikedByUserIdsFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.socialgraph.{thriftscala => sg} +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.SocialGraph +import javax.inject.Inject +import javax.inject.Singleton + +/** + * This hydrator takes liked-by and followed-by user ids and checks via SGS that the viewer is + * following the engager, that the viewer is not blocking the engager, that the engager is not + * blocking the viewer, and that the viewer has not muted the engager. + */ +@Singleton +class SGSValidSocialContextFeatureHydrator @Inject() ( + socialGraph: SocialGraph) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("SGSValidSocialContext") + + override val features: Set[Feature[_, _]] = Set( + SGSValidFollowedByUserIdsFeature, + SGSValidLikedByUserIdsFeature + ) + + private val MaxCountUsers = 10 + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + + val allSocialContextUserIds = + candidates.flatMap { candidate => + candidate.features.getOrElse(FavoritedByUserIdsFeature, Nil).take(MaxCountUsers) ++ + candidate.features.getOrElse(FollowedByUserIdsFeature, Nil).take(MaxCountUsers) + }.distinct + + getValidUserIds(query.getRequiredUserId, allSocialContextUserIds).map { validUserIds => + candidates.map { candidate => + val sgsFilteredLikedByUserIds = + candidate.features + .getOrElse(FavoritedByUserIdsFeature, Nil).take(MaxCountUsers) + .filter(validUserIds.contains) + + val sgsFilteredFollowedByUserIds = + candidate.features + .getOrElse(FollowedByUserIdsFeature, Nil).take(MaxCountUsers) + .filter(validUserIds.contains) + + FeatureMapBuilder() + .add(SGSValidFollowedByUserIdsFeature, sgsFilteredFollowedByUserIds) + .add(SGSValidLikedByUserIdsFeature, sgsFilteredLikedByUserIds) + .build() + } + } + } + + private def getValidUserIds( + viewerId: Long, + socialProofUserIds: Seq[Long] + ): Stitch[Seq[Long]] = { + if (socialProofUserIds.nonEmpty) { + val request = sg.IdsRequest( + relationships = Seq( + sg.SrcRelationship( + viewerId, + sg.RelationshipType.Following, + targets = Some(socialProofUserIds), + hasRelationship = true), + sg.SrcRelationship( + viewerId, + sg.RelationshipType.Blocking, + targets = Some(socialProofUserIds), + hasRelationship = false), + sg.SrcRelationship( + viewerId, + sg.RelationshipType.BlockedBy, + targets = Some(socialProofUserIds), + hasRelationship = false), + sg.SrcRelationship( + viewerId, + sg.RelationshipType.Muting, + targets = Some(socialProofUserIds), + hasRelationship = false) + ), + pageRequest = Some(sg.PageRequest(selectAll = Some(true))) + ) + socialGraph.ids(request).map(_.ids) + } else Stitch.Nil + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SimClustersEngagementSimilarityFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SimClustersEngagementSimilarityFeatureHydrator.scala new file mode 100644 index 000000000..0c04bce5a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SimClustersEngagementSimilarityFeatureHydrator.scala @@ -0,0 +1,83 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.Conditionally +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.clients.strato.twistly.SimClustersRecentEngagementSimilarityClient +import com.twitter.timelines.configapi.decider.BooleanDeciderParam +import com.twitter.timelines.prediction.adapters.twistly.SimClustersRecentEngagementSimilarityFeaturesAdapter +import javax.inject.Inject +import javax.inject.Singleton + +object SimClustersEngagementSimilarityFeature + extends DataRecordInAFeature[PipelineQuery] + with FeatureWithDefaultOnFailure[PipelineQuery, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class SimClustersEngagementSimilarityFeatureHydrator @Inject() ( + simClustersEngagementSimilarityClient: SimClustersRecentEngagementSimilarityClient, + statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with Conditionally[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("SimClustersEngagementSimilarity") + + override val features: Set[Feature[_, _]] = Set(SimClustersEngagementSimilarityFeature) + + private val scopedStatsReceiver = statsReceiver.scope(identifier.toString) + + private val hydratedCandidatesSizeStat = scopedStatsReceiver.stat("hydratedCandidatesSize") + + private val simClustersRecentEngagementSimilarityFeaturesAdapter = + new SimClustersRecentEngagementSimilarityFeaturesAdapter + + override def onlyIf(query: PipelineQuery): Boolean = { + val param: BooleanDeciderParam = + ScoredTweetsParam.EnableSimClustersSimilarityFeatureHydrationDeciderParam + query.params.apply(param) + } + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val tweetToCandidates = candidates.map(candidate => candidate.candidate.id -> candidate).toMap + val tweetIds = tweetToCandidates.keySet.toSeq + val userId = query.getRequiredUserId + val userTweetEdges = tweetIds.map(tweetId => (userId, tweetId)) + val resultFuture = simClustersEngagementSimilarityClient + .getSimClustersRecentEngagementSimilarityScores(userTweetEdges).map { + simClustersRecentEngagementSimilarityScoresMap => + hydratedCandidatesSizeStat.add(simClustersRecentEngagementSimilarityScoresMap.size) + candidates.map { candidate => + val similarityFeatureOpt = simClustersRecentEngagementSimilarityScoresMap + .get(userId -> candidate.candidate.id).flatten + val dataRecordOpt = similarityFeatureOpt.map { similarityFeature => + simClustersRecentEngagementSimilarityFeaturesAdapter + .adaptToDataRecords(similarityFeature) + .get(0) + } + FeatureMapBuilder() + .add(SimClustersEngagementSimilarityFeature, dataRecordOpt.getOrElse(new DataRecord)) + .build() + } + } + Stitch.callFuture(resultFuture) + } + +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SocialGraphServiceFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SocialGraphServiceFeatureHydrator.scala new file mode 100644 index 000000000..729a40e94 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/SocialGraphServiceFeatureHydrator.scala @@ -0,0 +1,67 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.socialgraph.{thriftscala => sg} +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.{SocialGraph => SocialGraphStitchClient} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class SocialGraphServiceFeatureHydrator @Inject() (socialGraphStitchClient: SocialGraphStitchClient) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("SocialGraphService") + + override val features: Set[Feature[_, _]] = Set(InNetworkFeature) + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val viewerId = query.getRequiredUserId + + // We use authorId and not sourceAuthorId here so that retweets are defined as in network + val authorIds = candidates.map(_.features.getOrElse(AuthorIdFeature, None).getOrElse(0L)) + val distinctNonSelfAuthorIds = authorIds.filter(_ != viewerId).distinct + + val idsRequest = createIdsRequest( + userId = viewerId, + relationshipTypes = Set(sg.RelationshipType.Following), + targetIds = Some(distinctNonSelfAuthorIds) + ) + + socialGraphStitchClient + .ids(request = idsRequest, requestContext = None) + .map { idResult => + authorIds.map { authorId => + // Users cannot follow themselves but this is in network by definition + val isSelfTweet = authorId == viewerId + val inNetworkAuthorIds = idResult.ids.toSet + val isInNetwork = isSelfTweet || inNetworkAuthorIds.contains(authorId) || authorId == 0L + FeatureMapBuilder().add(InNetworkFeature, isInNetwork).build() + } + } + } + + private def createIdsRequest( + userId: Long, + relationshipTypes: Set[sg.RelationshipType], + targetIds: Option[Seq[Long]] = None + ): sg.IdsRequest = sg.IdsRequest( + relationshipTypes.map { relationshipType => + sg.SrcRelationship(userId, relationshipType, targets = targetIds) + }.toSeq, + Some(sg.PageRequest(selectAll = Some(true))) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TSPInferredTopicFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TSPInferredTopicFeatureHydrator.scala new file mode 100644 index 000000000..2e823ebd8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TSPInferredTopicFeatureHydrator.scala @@ -0,0 +1,162 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.contentrecommender.{thriftscala => cr} +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.inferred_topic.InferredTopicAdapter +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.TSPMetricTagFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicContextFunctionalityTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.BasicTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecommendationTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.TopicContextFunctionalityType +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.strato.generated.client.topic_signals.tsp.TopicSocialProofClientColumn +import com.twitter.timelineservice.suggests.logging.candidate_tweet_source_id.{thriftscala => sid} +import com.twitter.topiclisting.TopicListingViewerContext +import com.twitter.tsp.{thriftscala => tsp} + +import javax.inject.Inject +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object TSPInferredTopicFeature extends Feature[TweetCandidate, Map[Long, Double]] +object TSPInferredTopicDataRecordFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TSPInferredTopicFeatureHydrator @Inject() ( + topicSocialProofClientColumn: TopicSocialProofClientColumn, + statsReceiver: StatsReceiver, +) extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("TSPInferredTopic") + + override val features: Set[Feature[_, _]] = + Set( + TSPInferredTopicFeature, + TSPInferredTopicDataRecordFeature, + TopicIdSocialContextFeature, + TopicContextFunctionalityTypeFeature) + + private val topK = 3 + + private val sourcesToSetSocialProof: Set[sid.CandidateTweetSourceId] = Set( + sid.CandidateTweetSourceId.Simcluster, + sid.CandidateTweetSourceId.CroonTweet + ) + + private val scopedStatsReceiver = statsReceiver.scope(getClass.getSimpleName) + private val keyFoundCounter = scopedStatsReceiver.counter("key/found") + private val keyLossCounter = scopedStatsReceiver.counter("key/loss") + private val requestFailCounter = scopedStatsReceiver.counter("request/fail") + + private val DefaultFeatureMap = FeatureMapBuilder() + .add(TSPInferredTopicFeature, Map.empty[Long, Double]) + .add(TSPInferredTopicDataRecordFeature, new DataRecord()) + .add(TopicIdSocialContextFeature, None) + .add(TopicContextFunctionalityTypeFeature, None) + .build() + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val tags = candidates.collect { + case candidate if candidate.features.getTry(TSPMetricTagFeature).isReturn => + candidate.candidate.id -> candidate.features + .getOrElse(TSPMetricTagFeature, Set.empty[tsp.MetricTag]) + }.toMap + + val topicSocialProofRequest = + tsp.TopicSocialProofRequest( + userId = query.getRequiredUserId, + tweetIds = candidates.map(_.candidate.id).toSet, + displayLocation = cr.DisplayLocation.HomeTimeline, + topicListingSetting = tsp.TopicListingSetting.Followable, + context = TopicListingViewerContext.fromClientContext(query.clientContext).toThrift, + bypassModes = None, + // Only CRMixer source has this data. Convert the CRMixer metric tag to tsp metric tag. + tags = if (tags.isEmpty) None else Some(tags) + ) + + topicSocialProofClientColumn.fetcher + .fetch(topicSocialProofRequest) + .map(_.v) + .map { + case Some(response) => + candidates.map { candidate => + val topicWithScores = response.socialProofs.getOrElse(candidate.candidate.id, Seq.empty) + if (topicWithScores.nonEmpty) { + keyFoundCounter.incr() + val (socialProofId, socialProofFunctionalityType) = + if (candidate.features + .getOrElse(CandidateSourceIdFeature, None) + .exists(sourcesToSetSocialProof.contains)) { + getSocialProof(topicWithScores) + } else { + (None, None) + } + val inferredTopicFeatures = convertTopicWithScores(topicWithScores) + val inferredTopicDataRecord = + InferredTopicAdapter.adaptToDataRecords(inferredTopicFeatures).asScala.head + FeatureMapBuilder() + .add(TSPInferredTopicFeature, inferredTopicFeatures) + .add(TSPInferredTopicDataRecordFeature, inferredTopicDataRecord) + .add(TopicIdSocialContextFeature, socialProofId) + .add(TopicContextFunctionalityTypeFeature, socialProofFunctionalityType) + .build() + } else { + keyLossCounter.incr() + DefaultFeatureMap + } + } + case _ => + requestFailCounter.incr() + candidates.map { _ => + DefaultFeatureMap + } + } + } + + private def getSocialProof( + topicWithScores: Seq[tsp.TopicWithScore] + ): (Option[Long], Option[TopicContextFunctionalityType]) = { + val followingTopicId = topicWithScores + .collectFirst { + case tsp.TopicWithScore(topicId, _, _, Some(tsp.TopicFollowType.Following)) => + topicId + } + if (followingTopicId.nonEmpty) { + return (followingTopicId, Some(BasicTopicContextFunctionalityType)) + } + val implicitFollowingId = topicWithScores.collectFirst { + case tsp.TopicWithScore(topicId, _, _, Some(tsp.TopicFollowType.ImplicitFollow)) => + topicId + } + if (implicitFollowingId.nonEmpty) { + return (implicitFollowingId, Some(RecommendationTopicContextFunctionalityType)) + } + (None, None) + } + + private def convertTopicWithScores( + topicWithScores: Seq[tsp.TopicWithScore], + ): Map[Long, Double] = { + topicWithScores.sortBy(-_.score).take(topK).map(a => (a.topicId, a.score)).toMap + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TimeFeaturesHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TimeFeaturesHydrator.scala new file mode 100644 index 000000000..16661188a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TimeFeaturesHydrator.scala @@ -0,0 +1,251 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.EarlybirdFeature +import com.twitter.home_mixer.model.HomeFeatures.NonPollingTimesFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.RichDataRecord +import com.twitter.ml.api.util.FDsl._ +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.CandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.search.common.features.{thriftscala => sc} +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.stitch.Stitch +import com.twitter.timelines.prediction.features.time_features.AccountAgeInterval +import com.twitter.timelines.prediction.features.time_features.TimeDataRecordFeatures._ +import com.twitter.timelines.prediction.features.time_features.TimeFeatures +import com.twitter.util.Duration +import scala.collection.Searching._ + +object TimeFeaturesDataRecordFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +object TimeFeaturesHydrator extends CandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("TimeFeatures") + + override val features: Set[Feature[_, _]] = Set(TimeFeaturesDataRecordFeature) + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + existingFeatures: FeatureMap + ): Stitch[FeatureMap] = { + Stitch.value { + val richDataRecord = new RichDataRecord() + setTimeFeatures(richDataRecord, candidate, existingFeatures, query) + FeatureMapBuilder() + .add(TimeFeaturesDataRecordFeature, richDataRecord.getRecord) + .build() + } + } + + private def setTimeFeatures( + richDataRecord: RichDataRecord, + candidate: TweetCandidate, + existingFeatures: FeatureMap, + query: PipelineQuery, + ): Unit = { + val timeFeaturesOpt = getTimeFeatures(query, candidate, existingFeatures) + timeFeaturesOpt.foreach(timeFeatures => setFeatures(timeFeatures, richDataRecord)) + } + + private[feature_hydrator] def getTimeFeatures( + query: PipelineQuery, + candidate: TweetCandidate, + existingFeatures: FeatureMap, + ): Option[TimeFeatures] = { + for { + requestTimestampMs <- Some(query.queryTime.inMilliseconds) + tweetId <- Some(candidate.id) + viewerId <- query.getOptionalUserId + tweetCreationTimeMs <- timeFromTweetOrUserId(tweetId) + timeSinceTweetCreation = requestTimestampMs - tweetCreationTimeMs + accountAgeDurationOpt = timeFromTweetOrUserId(viewerId).map { viewerAccountCreationTimeMs => + Duration.fromMilliseconds(requestTimestampMs - viewerAccountCreationTimeMs) + } + timeSinceSourceTweetCreation = + existingFeatures + .getOrElse(SourceTweetIdFeature, None) + .flatMap { sourceTweetId => + timeFromTweetOrUserId(sourceTweetId).map { sourceTweetCreationTimeMs => + requestTimestampMs - sourceTweetCreationTimeMs + } + } + .getOrElse(timeSinceTweetCreation) + if (timeSinceTweetCreation > 0 && timeSinceSourceTweetCreation > 0) + } yield { + val timeFeatures = TimeFeatures( + timeSinceTweetCreation = timeSinceTweetCreation, + timeSinceSourceTweetCreation = timeSinceSourceTweetCreation, + timeSinceViewerAccountCreationSecs = accountAgeDurationOpt.map(_.inSeconds), + isDay30NewUser = accountAgeDurationOpt.map(_ < 30.days).getOrElse(false), + isMonth12NewUser = accountAgeDurationOpt.map(_ < 365.days).getOrElse(false), + accountAgeInterval = accountAgeDurationOpt.flatMap(AccountAgeInterval.fromDuration), + isTweetRecycled = false // only set in RecyclableTweetCandidateFilter, but it's not used + ) + + val timeFeaturesWithLastEngagement = addLastEngagementTimeFeatures( + existingFeatures.getOrElse(EarlybirdFeature, None), + timeFeatures, + timeSinceSourceTweetCreation + ).getOrElse(timeFeatures) + + val nonPollingTimestampsMs = + query.features.map(_.getOrElse(NonPollingTimesFeature, Seq.empty)) + val timeFeaturesWithNonPollingOpt = addNonPollingTimeFeatures( + timeFeaturesWithLastEngagement, + requestTimestampMs, + tweetCreationTimeMs, + nonPollingTimestampsMs + ) + timeFeaturesWithNonPollingOpt.getOrElse(timeFeaturesWithLastEngagement) + } + } + + private def timeFromTweetOrUserId(tweetOrUserId: Long): Option[Long] = { + if (SnowflakeId.isSnowflakeId(tweetOrUserId)) + Some(SnowflakeId(tweetOrUserId).time.inMilliseconds) + else None + } + + private def addLastEngagementTimeFeatures( + tweetFeaturesOpt: Option[sc.ThriftTweetFeatures], + timeFeatures: TimeFeatures, + timeSinceSourceTweetCreation: Long + ): Option[TimeFeatures] = { + tweetFeaturesOpt.map { tweetFeatures => + val lastFavSinceCreationHrs = tweetFeatures.lastFavSinceCreationHrs.map(_.toDouble) + val lastRetweetSinceCreationHrs = tweetFeatures.lastRetweetSinceCreationHrs.map(_.toDouble) + val lastReplySinceCreationHrs = tweetFeatures.lastReplySinceCreationHrs.map(_.toDouble) + val lastQuoteSinceCreationHrs = tweetFeatures.lastQuoteSinceCreationHrs.map(_.toDouble) + + timeFeatures.copy( + lastFavSinceCreationHrs = lastFavSinceCreationHrs, + lastRetweetSinceCreationHrs = lastRetweetSinceCreationHrs, + lastReplySinceCreationHrs = lastReplySinceCreationHrs, + lastQuoteSinceCreationHrs = lastQuoteSinceCreationHrs, + timeSinceLastFavoriteHrs = getTimeSinceLastEngagementHrs( + lastFavSinceCreationHrs, + timeSinceSourceTweetCreation + ), + timeSinceLastRetweetHrs = getTimeSinceLastEngagementHrs( + lastRetweetSinceCreationHrs, + timeSinceSourceTweetCreation + ), + timeSinceLastReplyHrs = getTimeSinceLastEngagementHrs( + lastReplySinceCreationHrs, + timeSinceSourceTweetCreation + ), + timeSinceLastQuoteHrs = getTimeSinceLastEngagementHrs( + lastQuoteSinceCreationHrs, + timeSinceSourceTweetCreation + ) + ) + } + } + + private def addNonPollingTimeFeatures( + timeFeatures: TimeFeatures, + requestTimestampMs: Long, + creationTimeMs: Long, + nonPollingTimestampsMs: Option[Seq[Long]] + ): Option[TimeFeatures] = { + for { + nonPollingTimestampsMs <- nonPollingTimestampsMs + lastNonPollingTimestampMs <- nonPollingTimestampsMs.headOption + earliestNonPollingTimestampMs <- nonPollingTimestampsMs.lastOption + } yield { + val timeSinceLastNonPollingRequest = requestTimestampMs - lastNonPollingTimestampMs + val tweetAgeRatio = timeSinceLastNonPollingRequest / math.max( + 1.0, + timeFeatures.timeSinceTweetCreation + ) + /* + * Non-polling timestamps are stored in chronological order. + * The latest timestamps occur first, therefore we need to explicitly search in reverse order. + */ + val nonPollingRequestsSinceTweetCreation = + if (nonPollingTimestampsMs.nonEmpty) { + nonPollingTimestampsMs.search(creationTimeMs)(Ordering[Long].reverse).insertionPoint + } else { + 0 + } + /* + * Calculate the average time between non-polling requests; include + * request time in this calculation as latest timestamp. + */ + val timeBetweenNonPollingRequestsAvg = + (requestTimestampMs - earliestNonPollingTimestampMs) / math + .max(1.0, nonPollingTimestampsMs.size) + val timeFeaturesWithNonPolling = timeFeatures.copy( + timeBetweenNonPollingRequestsAvg = Some(timeBetweenNonPollingRequestsAvg), + timeSinceLastNonPollingRequest = Some(timeSinceLastNonPollingRequest), + nonPollingRequestsSinceTweetCreation = Some(nonPollingRequestsSinceTweetCreation), + tweetAgeRatio = Some(tweetAgeRatio) + ) + timeFeaturesWithNonPolling + } + } + + private[this] def getTimeSinceLastEngagementHrs( + lastEngagementTimeSinceCreationHrsOpt: Option[Double], + timeSinceTweetCreation: Long + ): Option[Double] = { + lastEngagementTimeSinceCreationHrsOpt.map { lastEngagementTimeSinceCreationHrs => + val timeSinceTweetCreationHrs = (timeSinceTweetCreation / (60 * 60 * 1000)).toInt + timeSinceTweetCreationHrs - lastEngagementTimeSinceCreationHrs + } + } + + private def setFeatures(features: TimeFeatures, richDataRecord: RichDataRecord): Unit = { + val record = richDataRecord.getRecord + .setFeatureValue(IS_TWEET_RECYCLED, features.isTweetRecycled) + .setFeatureValue(TIME_SINCE_TWEET_CREATION, features.timeSinceTweetCreation) + .setFeatureValueFromOption( + TIME_SINCE_VIEWER_ACCOUNT_CREATION_SECS, + features.timeSinceViewerAccountCreationSecs) + .setFeatureValue( + USER_ID_IS_SNOWFLAKE_ID, + features.timeSinceViewerAccountCreationSecs.isDefined + ) + .setFeatureValueFromOption(ACCOUNT_AGE_INTERVAL, features.accountAgeInterval.map(_.id.toLong)) + .setFeatureValue(IS_30_DAY_NEW_USER, features.isDay30NewUser) + .setFeatureValue(IS_12_MONTH_NEW_USER, features.isMonth12NewUser) + .setFeatureValueFromOption(LAST_FAVORITE_SINCE_CREATION_HRS, features.lastFavSinceCreationHrs) + .setFeatureValueFromOption( + LAST_RETWEET_SINCE_CREATION_HRS, + features.lastRetweetSinceCreationHrs + ) + .setFeatureValueFromOption(LAST_REPLY_SINCE_CREATION_HRS, features.lastReplySinceCreationHrs) + .setFeatureValueFromOption(LAST_QUOTE_SINCE_CREATION_HRS, features.lastQuoteSinceCreationHrs) + .setFeatureValueFromOption(TIME_SINCE_LAST_FAVORITE_HRS, features.timeSinceLastFavoriteHrs) + .setFeatureValueFromOption(TIME_SINCE_LAST_RETWEET_HRS, features.timeSinceLastRetweetHrs) + .setFeatureValueFromOption(TIME_SINCE_LAST_REPLY_HRS, features.timeSinceLastReplyHrs) + .setFeatureValueFromOption(TIME_SINCE_LAST_QUOTE_HRS, features.timeSinceLastQuoteHrs) + /* + * set features whose values are optional as some users do not have non-polling timestamps + */ + features.timeBetweenNonPollingRequestsAvg.foreach( + record.setFeatureValue(TIME_BETWEEN_NON_POLLING_REQUESTS_AVG, _) + ) + features.timeSinceLastNonPollingRequest.foreach( + record.setFeatureValue(TIME_SINCE_LAST_NON_POLLING_REQUEST, _) + ) + features.nonPollingRequestsSinceTweetCreation.foreach( + record.setFeatureValue(NON_POLLING_REQUESTS_SINCE_TWEET_CREATION, _) + ) + features.tweetAgeRatio.foreach(record.setFeatureValue(TWEET_AGE_RATIO, _)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TimelineServiceTweetsQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TimelineServiceTweetsQueryFeatureHydrator.scala new file mode 100644 index 000000000..fc9727cb7 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TimelineServiceTweetsQueryFeatureHydrator.scala @@ -0,0 +1,63 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.marshaller.timelines.DeviceContextMarshaller +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.stitch.timelineservice.TimelineService +import com.twitter.timelineservice.{thriftscala => t} +import javax.inject.Inject +import javax.inject.Singleton + +object TimelineServiceTweetsFeature extends Feature[PipelineQuery, Seq[Long]] + +@Singleton +case class TimelineServiceTweetsQueryFeatureHydrator @Inject() ( + timelineService: TimelineService, + deviceContextMarshaller: DeviceContextMarshaller) + extends QueryFeatureHydrator[PipelineQuery with HasDeviceContext] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TimelineServiceTweets") + + override val features: Set[Feature[_, _]] = Set(TimelineServiceTweetsFeature) + + private val MaxTimelineServiceTweets = 200 + + override def hydrate(query: PipelineQuery with HasDeviceContext): Stitch[FeatureMap] = { + val deviceContext = query.deviceContext.getOrElse(DeviceContext.Empty) + + val timelineQueryOptions = t.TimelineQueryOptions( + contextualUserId = query.clientContext.userId, + deviceContext = Some(deviceContextMarshaller(deviceContext, query.clientContext)) + ) + + val timelineServiceQuery = t.TimelineQuery( + timelineType = t.TimelineType.Home, + timelineId = query.getRequiredUserId, + maxCount = MaxTimelineServiceTweets.toShort, + cursor2 = None, + options = Some(timelineQueryOptions), + timelineId2 = query.clientContext.userId.map(t.TimelineId(t.TimelineType.Home, _, None)), + ) + + timelineService.getTimeline(timelineServiceQuery).map { timeline => + val tweets = timeline.entries.collect { + case t.TimelineEntry.Tweet(tweet) => tweet.statusId + } + + FeatureMapBuilder().add(TimelineServiceTweetsFeature, tweets).build() + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.7) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetImpressionsQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetImpressionsQueryFeatureHydrator.scala new file mode 100644 index 000000000..4e585ec45 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetImpressionsQueryFeatureHydrator.scala @@ -0,0 +1,87 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.TweetImpressionsFeature +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.impression.{thriftscala => t} +import com.twitter.timelines.impressionstore.store.ManhattanTweetImpressionStoreClient +import com.twitter.util.Duration +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class TweetImpressionsQueryFeatureHydrator[ + Query <: PipelineQuery with HasSeenTweetIds] @Inject() ( + manhattanTweetImpressionStoreClient: ManhattanTweetImpressionStoreClient) + extends QueryFeatureHydrator[Query] { + + private val TweetImpressionTTL = 1.day + private val TweetImpressionCap = 3000 + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("TweetImpressions") + + override val features: Set[Feature[_, _]] = Set(TweetImpressionsFeature) + + override def hydrate(query: Query): Stitch[FeatureMap] = { + manhattanTweetImpressionStoreClient.get(query.getRequiredUserId).map { entriesOpt => + val entries = entriesOpt.map(_.entries).toSeq.flatten + val updatedImpressions = + if (query.seenTweetIds.forall(_.isEmpty)) entries + else updateTweetImpressions(entries, query.seenTweetIds.get) + + FeatureMapBuilder().add(TweetImpressionsFeature, updatedImpressions).build() + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.8) + ) + + /** + * 1) Check timestamps and remove expired tweets based on [[TweetImpressionTTL]] + * 2) Filter duplicates between current tweets and those in the impression store (remove older ones) + * 3) Prepend new (Timestamp, Seq[TweetIds]) to the tweets from the impression store + * 4) Truncate older tweets if sum of all tweets across timestamps >= [[TweetImpressionCap]], + */ + private[feature_hydrator] def updateTweetImpressions( + tweetImpressionsFromStore: Seq[t.TweetImpressionsEntry], + seenIdsFromClient: Seq[Long], + currentTime: Long = Time.now.inMilliseconds, + tweetImpressionTTL: Duration = TweetImpressionTTL, + tweetImpressionCap: Int = TweetImpressionCap, + ): Seq[t.TweetImpressionsEntry] = { + val seenIdsFromClientSet = seenIdsFromClient.toSet + val dedupedTweetImpressionsFromStore: Seq[t.TweetImpressionsEntry] = tweetImpressionsFromStore + .collect { + case t.TweetImpressionsEntry(ts, tweetIds) + if Time.fromMilliseconds(ts).untilNow < tweetImpressionTTL => + t.TweetImpressionsEntry(ts, tweetIds.filterNot(seenIdsFromClientSet.contains)) + }.filter { _.tweetIds.nonEmpty } + + val mergedTweetImpressionsEntries = + t.TweetImpressionsEntry(currentTime, seenIdsFromClient) +: dedupedTweetImpressionsFromStore + val initialTweetImpressionsWithCap = (Seq.empty[t.TweetImpressionsEntry], tweetImpressionCap) + + val (truncatedTweetImpressionsEntries: Seq[t.TweetImpressionsEntry], _) = + mergedTweetImpressionsEntries + .foldLeft(initialTweetImpressionsWithCap) { + case ( + (tweetImpressions: Seq[t.TweetImpressionsEntry], remainingCap), + t.TweetImpressionsEntry(ts, tweetIds)) if remainingCap > 0 => + ( + t.TweetImpressionsEntry(ts, tweetIds.take(remainingCap)) +: tweetImpressions, + remainingCap - tweetIds.size) + case (tweetImpressionsWithCap, _) => tweetImpressionsWithCap + } + truncatedTweetImpressionsEntries.reverse + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetMetaDataFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetMetaDataFeatureHydrator.scala new file mode 100644 index 000000000..8c79c3874 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetMetaDataFeatureHydrator.scala @@ -0,0 +1,66 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.RichDataRecord +import com.twitter.ml.api.constant.SharedFeatures +import com.twitter.ml.api.util.DataRecordConverters._ +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.CandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.prediction.features.common.TimelinesSharedFeatures +import java.lang.{Long => JLong} + +object TweetMetaDataDataRecord + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +object TweetMetaDataFeatureHydrator + extends CandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("TweetMetaData") + + override def features: Set[Feature[_, _]] = Set(TweetMetaDataDataRecord) + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + existingFeatures: FeatureMap + ): Stitch[FeatureMap] = { + val richDataRecord = new RichDataRecord() + + setFeatures(richDataRecord, candidate, existingFeatures) + + Stitch.value { + FeatureMapBuilder() + .add(TweetMetaDataDataRecord, richDataRecord.getRecord) + .build() + } + } + + private def setFeatures( + richDataRecord: RichDataRecord, + candidate: TweetCandidate, + existingFeatures: FeatureMap + ): Unit = { + richDataRecord.setFeatureValue[JLong](SharedFeatures.TWEET_ID, candidate.id) + + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.ORIGINAL_AUTHOR_ID, + CandidatesUtil.getOriginalAuthorId(existingFeatures)) + + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.CANDIDATE_TWEET_SOURCE_ID, + existingFeatures.getOrElse(CandidateSourceIdFeature, None).map(_.value.toLong)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieContentFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieContentFeatureHydrator.scala new file mode 100644 index 000000000..8ad3acc46 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieContentFeatureHydrator.scala @@ -0,0 +1,149 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.escherbird.{thriftscala => esb} +import com.twitter.finagle.stats.Stat +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.content.ContentFeatureAdapter +import com.twitter.home_mixer.model.HomeFeatures.MediaUnderstandingAnnotationIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TweetypieContentRepository +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.home_mixer.util.tweetypie.content.FeatureExtractionHelper +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.util.OffloadFuturePools +import com.twitter.servo.keyvalue.KeyValueResult +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch +import com.twitter.timelines.prediction.common.util.MediaUnderstandingAnnotations +import com.twitter.tweetypie.{thriftscala => tp} +import com.twitter.util.Future +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object TweetypieContentDataRecordFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TweetypieContentFeatureHydrator @Inject() ( + @Named(TweetypieContentRepository) client: KeyValueRepository[Seq[Long], Long, tp.Tweet], + override val statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with ObservedKeyValueResultHandler { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("TweetypieContent") + + override val features: Set[Feature[_, _]] = Set( + MediaUnderstandingAnnotationIdsFeature, + TweetypieContentDataRecordFeature + ) + + override val statScope: String = identifier.toString + + private val bulkRequestLatencyStat = + statsReceiver.scope(statScope).scope("bulkRequest").stat("latency_ms") + private val postTransformerLatencyStat = + statsReceiver.scope(statScope).scope("postTransformer").stat("latency_ms") + private val bulkPostTransformerLatencyStat = + statsReceiver.scope(statScope).scope("bulkPostTransformer").stat("latency_ms") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + Stitch.callFuture { + val tweetIdsToHydrate = candidates.map(getCandidateOriginalTweetId).distinct + + val response: Future[KeyValueResult[Long, tp.Tweet]] = + Stat.timeFuture(bulkRequestLatencyStat)( + if (tweetIdsToHydrate.isEmpty) { + Future.value(KeyValueResult.empty) + } else { + client(tweetIdsToHydrate) + } + ) + + response.flatMap { result => + Stat.timeFuture(bulkPostTransformerLatencyStat) { + OffloadFuturePools + .parallelize[CandidateWithFeatures[TweetCandidate], Try[(Seq[Long], DataRecord)]]( + candidates, + parTransformer(result, _), + parallelism = 32, + default = Return((Seq.empty, new DataRecord)) + ).map { + _.map { + case Return(result) => + FeatureMapBuilder() + .add(MediaUnderstandingAnnotationIdsFeature, result._1) + .add(TweetypieContentDataRecordFeature, result._2) + .build() + case Throw(e) => + FeatureMapBuilder() + .add(MediaUnderstandingAnnotationIdsFeature, Throw(e)) + .add(TweetypieContentDataRecordFeature, Throw(e)) + .build() + } + } + } + } + } + } + + private def parTransformer( + result: KeyValueResult[Long, tp.Tweet], + candidate: CandidateWithFeatures[TweetCandidate] + ): Try[(Seq[Long], DataRecord)] = { + val originalTweetId = Some(getCandidateOriginalTweetId(candidate)) + + val value = observedGet(key = originalTweetId, keyValueResult = result) + Stat.time(postTransformerLatencyStat)(postTransformer(value)) + } + + private def postTransformer( + result: Try[Option[tp.Tweet]] + ): Try[(Seq[Long], DataRecord)] = { + result.map { tweet => + val transformedValue = tweet.map(FeatureExtractionHelper.extractFeatures) + val semanticAnnotations = transformedValue + .flatMap { contentFeatures => + contentFeatures.semanticCoreAnnotations.map { + getNonSensitiveHighRecallMediaUnderstandingAnnotationEntityIds + } + }.getOrElse(Seq.empty) + val dataRecord = ContentFeatureAdapter.adaptToDataRecords(transformedValue).asScala.head + (semanticAnnotations, dataRecord) + } + } + + private def getCandidateOriginalTweetId( + candidate: CandidateWithFeatures[TweetCandidate] + ): Long = { + candidate.features + .getOrElse(SourceTweetIdFeature, None).getOrElse(candidate.candidate.id) + } + + private def getNonSensitiveHighRecallMediaUnderstandingAnnotationEntityIds( + semanticCoreAnnotations: Seq[esb.TweetEntityAnnotation] + ): Seq[Long] = + semanticCoreAnnotations + .filter(MediaUnderstandingAnnotations.isEligibleNonSensitiveHighRecallMUAnnotation) + .map(_.entityId) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieFeatureHydrator.scala new file mode 100644 index 000000000..09fc62405 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieFeatureHydrator.scala @@ -0,0 +1,156 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsHydratedFeature +import com.twitter.home_mixer.model.HomeFeatures.IsNsfwFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetDroppedFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.TweetTextFeature +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.model.request.ListTweetsProduct +import com.twitter.home_mixer.model.request.ScoredTweetsProduct +import com.twitter.home_mixer.util.tweetypie.RequestFields +import com.twitter.product_mixer.component_library.feature_hydrator.candidate.tweet_is_nsfw.IsNsfw +import com.twitter.product_mixer.component_library.feature_hydrator.candidate.tweet_visibility_reason.VisibilityReason +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.CandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.spam.rtf.{thriftscala => rtf} +import com.twitter.stitch.Stitch +import com.twitter.stitch.tweetypie.{TweetyPie => TweetypieStitchClient} +import com.twitter.tweetypie.{thriftscala => tp} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class TweetypieFeatureHydrator @Inject() (tweetypieStitchClient: TweetypieStitchClient) + extends CandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("Tweetypie") + + override val features: Set[Feature[_, _]] = Set( + AuthorIdFeature, + InReplyToTweetIdFeature, + IsHydratedFeature, + IsNsfw, + IsNsfwFeature, + IsRetweetFeature, + QuotedTweetDroppedFeature, + QuotedTweetIdFeature, + QuotedUserIdFeature, + SourceTweetIdFeature, + SourceUserIdFeature, + TweetTextFeature, + VisibilityReason + ) + + private val DefaultFeatureMap = FeatureMapBuilder() + .add(IsHydratedFeature, false) + .add(IsNsfw, None) + .add(IsNsfwFeature, false) + .add(QuotedTweetDroppedFeature, false) + .add(TweetTextFeature, None) + .add(VisibilityReason, None) + .build() + + override def apply( + query: PipelineQuery, + candidate: TweetCandidate, + existingFeatures: FeatureMap + ): Stitch[FeatureMap] = { + val safetyLevel = query.product match { + case FollowingProduct => rtf.SafetyLevel.TimelineHomeLatest + case ForYouProduct => rtf.SafetyLevel.TimelineHome + case ScoredTweetsProduct => rtf.SafetyLevel.TimelineHome + case ListTweetsProduct => rtf.SafetyLevel.TimelineLists + case unknown => throw new UnsupportedOperationException(s"Unknown product: $unknown") + } + + val tweetFieldsOptions = tp.GetTweetFieldsOptions( + tweetIncludes = RequestFields.TweetTPHydrationFields, + includeRetweetedTweet = true, + includeQuotedTweet = true, + visibilityPolicy = tp.TweetVisibilityPolicy.UserVisible, + safetyLevel = Some(safetyLevel), + forUserId = Some(query.getRequiredUserId) + ) + + tweetypieStitchClient.getTweetFields(tweetId = candidate.id, options = tweetFieldsOptions).map { + case tp.GetTweetFieldsResult(_, tp.TweetFieldsResultState.Found(found), quoteOpt, _) => + val coreData = found.tweet.coreData + val isNsfwAdmin = coreData.exists(_.nsfwAdmin) + val isNsfwUser = coreData.exists(_.nsfwUser) + + val quotedTweetDropped = quoteOpt.exists { + case _: tp.TweetFieldsResultState.Filtered => true + case _: tp.TweetFieldsResultState.NotFound => true + case _ => false + } + val quotedTweetIsNsfw = quoteOpt.exists { + case quoteTweet: tp.TweetFieldsResultState.Found => + quoteTweet.found.tweet.coreData.exists(data => data.nsfwAdmin || data.nsfwUser) + case _ => false + } + + val sourceTweetIsNsfw = + found.retweetedTweet.exists(_.coreData.exists(data => data.nsfwAdmin || data.nsfwUser)) + + val tweetText = coreData.map(_.text) + + val tweetAuthorId = coreData.map(_.userId) + val inReplyToTweetId = coreData.flatMap(_.reply.flatMap(_.inReplyToStatusId)) + val retweetedTweetId = found.retweetedTweet.map(_.id) + val quotedTweetId = quoteOpt.flatMap { + case quoteTweet: tp.TweetFieldsResultState.Found => + Some(quoteTweet.found.tweet.id) + case _ => None + } + + val retweetedTweetUserId = found.retweetedTweet.flatMap(_.coreData).map(_.userId) + val quotedTweetUserId = quoteOpt.flatMap { + case quoteTweet: tp.TweetFieldsResultState.Found => + quoteTweet.found.tweet.coreData.map(_.userId) + case _ => None + } + + val isNsfw = isNsfwAdmin || isNsfwUser || sourceTweetIsNsfw || quotedTweetIsNsfw + + FeatureMapBuilder() + .add(AuthorIdFeature, tweetAuthorId) + .add(InReplyToTweetIdFeature, inReplyToTweetId) + .add(IsHydratedFeature, true) + .add(IsNsfw, Some(isNsfw)) + .add(IsNsfwFeature, isNsfw) + .add(IsRetweetFeature, retweetedTweetId.isDefined) + .add(QuotedTweetDroppedFeature, quotedTweetDropped) + .add(QuotedTweetIdFeature, quotedTweetId) + .add(QuotedUserIdFeature, quotedTweetUserId) + .add(SourceTweetIdFeature, retweetedTweetId) + .add(SourceUserIdFeature, retweetedTweetUserId) + .add(TweetTextFeature, tweetText) + .add(VisibilityReason, found.suppressReason) + .build() + + // If no tweet result found, return default and pre-existing features + case _ => + DefaultFeatureMap + + (AuthorIdFeature, existingFeatures.getOrElse(AuthorIdFeature, None)) + + (InReplyToTweetIdFeature, existingFeatures.getOrElse(InReplyToTweetIdFeature, None)) + + (IsRetweetFeature, existingFeatures.getOrElse(IsRetweetFeature, false)) + + (QuotedTweetIdFeature, existingFeatures.getOrElse(QuotedTweetIdFeature, None)) + + (QuotedUserIdFeature, existingFeatures.getOrElse(QuotedUserIdFeature, None)) + + (SourceTweetIdFeature, existingFeatures.getOrElse(SourceTweetIdFeature, None)) + + (SourceUserIdFeature, existingFeatures.getOrElse(SourceUserIdFeature, None)) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieStaticEntitiesFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieStaticEntitiesFeatureHydrator.scala new file mode 100644 index 000000000..773f2144e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TweetypieStaticEntitiesFeatureHydrator.scala @@ -0,0 +1,161 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.google.inject.name.Named +import com.twitter.conversions.DurationOps.RichDuration +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.DirectedAtUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.HasImageFeature +import com.twitter.home_mixer.model.HomeFeatures.HasVideoFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.MentionScreenNameFeature +import com.twitter.home_mixer.model.HomeFeatures.MentionUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SemanticAnnotationFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TweetypieStaticEntitiesCache +import com.twitter.home_mixer.util.tweetypie.RequestFields +import com.twitter.home_mixer.util.tweetypie.content.TweetMediaFeaturesExtractor +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.TtlCache +import com.twitter.spam.rtf.{thriftscala => sp} +import com.twitter.stitch.Stitch +import com.twitter.stitch.tweetypie.{TweetyPie => TweetypieStitchClient} +import com.twitter.tweetypie.{thriftscala => tp} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class TweetypieStaticEntitiesFeatureHydrator @Inject() ( + tweetypieStitchClient: TweetypieStitchClient, + @Named(TweetypieStaticEntitiesCache) cacheClient: TtlCache[Long, tp.Tweet]) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TweetypieStaticEntities") + + override val features: Set[Feature[_, _]] = Set( + AuthorIdFeature, + DirectedAtUserIdFeature, + HasImageFeature, + HasVideoFeature, + InReplyToTweetIdFeature, + InReplyToUserIdFeature, + IsRetweetFeature, + MentionScreenNameFeature, + MentionUserIdFeature, + QuotedTweetIdFeature, + QuotedUserIdFeature, + SemanticAnnotationFeature, + SourceTweetIdFeature, + SourceUserIdFeature + ) + + private val CacheTTL = 24.hours + + private val DefaultFeatureMap = FeatureMapBuilder() + .add(AuthorIdFeature, None) + .add(DirectedAtUserIdFeature, None) + .add(HasImageFeature, false) + .add(HasVideoFeature, false) + .add(InReplyToTweetIdFeature, None) + .add(InReplyToUserIdFeature, None) + .add(IsRetweetFeature, false) + .add(MentionScreenNameFeature, Seq.empty) + .add(MentionUserIdFeature, Seq.empty) + .add(QuotedTweetIdFeature, None) + .add(QuotedUserIdFeature, None) + .add(SemanticAnnotationFeature, Seq.empty) + .add(SourceTweetIdFeature, None) + .add(SourceUserIdFeature, None) + .build() + + /** + * Steps: + * 1. query cache with all candidates + * 2. create a cached feature map + * 3. iterate candidates to hydrate features + * 3.a transform cached candidates + * 3.b hydrate non-cached candidates from Tweetypie and write to cache + */ + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val tweetIds = candidates.map(_.candidate.id) + val cachedTweetsMapFu = cacheClient + .get(tweetIds) + .map(_.found) + + Stitch.callFuture(cachedTweetsMapFu).flatMap { cachedTweets => + Stitch.collect { + candidates.map { candidate => + if (cachedTweets.contains(candidate.candidate.id)) + Stitch.value(createFeatureMap(cachedTweets(candidate.candidate.id))) + else readFromTweetypie(query, candidate) + } + } + } + } + + private def createFeatureMap(tweet: tp.Tweet): FeatureMap = { + val coreData = tweet.coreData + val quotedTweet = tweet.quotedTweet + val mentions = tweet.mentions.getOrElse(Seq.empty) + val share = coreData.flatMap(_.share) + val reply = coreData.flatMap(_.reply) + val semanticAnnotations = + tweet.escherbirdEntityAnnotations.map(_.entityAnnotations).getOrElse(Seq.empty) + + FeatureMapBuilder() + .add(AuthorIdFeature, coreData.map(_.userId)) + .add(DirectedAtUserIdFeature, coreData.flatMap(_.directedAtUser.map(_.userId))) + .add(HasImageFeature, TweetMediaFeaturesExtractor.hasImage(tweet)) + .add(HasVideoFeature, TweetMediaFeaturesExtractor.hasVideo(tweet)) + .add(InReplyToTweetIdFeature, reply.flatMap(_.inReplyToStatusId)) + .add(InReplyToUserIdFeature, reply.map(_.inReplyToUserId)) + .add(IsRetweetFeature, share.isDefined) + .add(MentionScreenNameFeature, mentions.map(_.screenName)) + .add(MentionUserIdFeature, mentions.flatMap(_.userId)) + .add(QuotedTweetIdFeature, quotedTweet.map(_.tweetId)) + .add(QuotedUserIdFeature, quotedTweet.map(_.userId)) + .add(SemanticAnnotationFeature, semanticAnnotations) + .add(SourceTweetIdFeature, share.map(_.sourceStatusId)) + .add(SourceUserIdFeature, share.map(_.sourceUserId)) + .build() + } + + private def readFromTweetypie( + query: PipelineQuery, + candidate: CandidateWithFeatures[TweetCandidate] + ): Stitch[FeatureMap] = { + tweetypieStitchClient + .getTweetFields( + tweetId = candidate.candidate.id, + options = tp.GetTweetFieldsOptions( + tweetIncludes = RequestFields.TweetStaticEntitiesFields, + includeRetweetedTweet = false, + includeQuotedTweet = false, + forUserId = query.getOptionalUserId, // Needed to get protected Tweets for certain users + visibilityPolicy = tp.TweetVisibilityPolicy.UserVisible, + safetyLevel = Some(sp.SafetyLevel.FilterNone) // VF is handled in the For You product + ) + ).map { + case tp.GetTweetFieldsResult(_, tp.TweetFieldsResultState.Found(found), _, _) => + cacheClient.set(candidate.candidate.id, found.tweet, CacheTTL) + createFeatureMap(found.tweet) + case _ => + DefaultFeatureMap + (AuthorIdFeature, candidate.features.getOrElse(AuthorIdFeature, None)) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinAuthorFollow20220101FeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinAuthorFollow20220101FeatureHydrator.scala new file mode 100644 index 000000000..5d928a90b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinAuthorFollow20220101FeatureHydrator.scala @@ -0,0 +1,96 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.twhin_embeddings.TwhinAuthorFollowEmbeddingsAdapter +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TwhinAuthorFollow20200101FeatureRepository +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.{thriftscala => ml} +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.servo.repository.KeyValueResult +import com.twitter.stitch.Stitch +import com.twitter.util.Future +import com.twitter.util.Try + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +object TwhinAuthorFollow20220101Feature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TwhinAuthorFollow20220101FeatureHydrator @Inject() ( + @Named(TwhinAuthorFollow20200101FeatureRepository) + client: KeyValueRepository[Seq[Long], Long, ml.Embedding], + override val statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with ObservedKeyValueResultHandler { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TwhinAuthorFollow20220101") + + override val features: Set[Feature[_, _]] = Set(TwhinAuthorFollow20220101Feature) + + override val statScope: String = identifier.toString + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + Stitch.callFuture { + val possiblyAuthorIds = extractKeys(candidates) + val authorIds = possiblyAuthorIds.flatten + + val response: Future[KeyValueResult[Long, ml.Embedding]] = + if (authorIds.isEmpty) { + Future.value(KeyValueResult.empty) + } else { + client(authorIds) + } + + response.map { result => + possiblyAuthorIds.map { possiblyAuthorId => + val value = observedGet(key = possiblyAuthorId, keyValueResult = result) + val transformedValue = postTransformer(value) + + FeatureMapBuilder() + .add(TwhinAuthorFollow20220101Feature, transformedValue) + .build() + } + } + } + } + + private def postTransformer(embedding: Try[Option[ml.Embedding]]): Try[DataRecord] = { + embedding.map { e => + TwhinAuthorFollowEmbeddingsAdapter.adaptToDataRecords(e).asScala.head + } + } + + private def extractKeys( + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[Long]] = { + candidates.map { candidate => + candidate.features + .getTry(AuthorIdFeature) + .toOption + .flatten + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinUserEngagementQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinUserEngagementQueryFeatureHydrator.scala new file mode 100644 index 000000000..bc602d90c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinUserEngagementQueryFeatureHydrator.scala @@ -0,0 +1,80 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.twhin_embeddings.TwhinUserEngagementEmbeddingsAdapter +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TwhinUserEngagementFeatureRepository +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.RichDataRecord +import com.twitter.ml.api.util.ScalaToJavaDataRecordConversions +import com.twitter.ml.api.{thriftscala => ml} +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch +import com.twitter.util.Return +import com.twitter.util.Throw +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +object TwhinUserEngagementFeature + extends DataRecordInAFeature[PipelineQuery] + with FeatureWithDefaultOnFailure[PipelineQuery, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TwhinUserEngagementQueryFeatureHydrator @Inject() ( + @Named(TwhinUserEngagementFeatureRepository) + client: KeyValueRepository[Seq[Long], Long, ml.FloatTensor], + statsReceiver: StatsReceiver) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TwhinUserEngagement") + + override val features: Set[Feature[_, _]] = Set(TwhinUserEngagementFeature) + + private val scopedStatsReceiver = statsReceiver.scope(getClass.getSimpleName) + private val keyFoundCounter = scopedStatsReceiver.counter("key/found") + private val keyLossCounter = scopedStatsReceiver.counter("key/loss") + private val keyFailureCounter = scopedStatsReceiver.counter("key/failure") + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val userId = query.getRequiredUserId + Stitch.callFuture { + client(Seq(userId)).map { results => + val embedding: Option[ml.FloatTensor] = results(userId) match { + case Return(value) => + if (value.exists(_.floats.nonEmpty)) keyFoundCounter.incr() + else keyLossCounter.incr() + value + case Throw(_) => + keyFailureCounter.incr() + None + case _ => + None + } + val dataRecord = + new RichDataRecord(new DataRecord, TwhinUserEngagementEmbeddingsAdapter.getFeatureContext) + embedding.foreach { floatTensor => + dataRecord.setFeatureValue( + TwhinUserEngagementEmbeddingsAdapter.twhinEmbeddingsFeature, + ScalaToJavaDataRecordConversions.scalaTensor2Java( + ml.GeneralTensor.FloatTensor(floatTensor)) + ) + } + + FeatureMapBuilder() + .add(TwhinUserEngagementFeature, dataRecord.getRecord) + .build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinUserFollowQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinUserFollowQueryFeatureHydrator.scala new file mode 100644 index 000000000..c0efba167 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/TwhinUserFollowQueryFeatureHydrator.scala @@ -0,0 +1,80 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.twhin_embeddings.TwhinUserFollowEmbeddingsAdapter +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TwhinUserFollowFeatureRepository +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.RichDataRecord + +import com.twitter.ml.api.util.ScalaToJavaDataRecordConversions +import com.twitter.ml.api.{thriftscala => ml} +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch +import com.twitter.util.Return +import com.twitter.util.Throw +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +object TwhinUserFollowFeature + extends DataRecordInAFeature[PipelineQuery] + with FeatureWithDefaultOnFailure[PipelineQuery, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TwhinUserFollowQueryFeatureHydrator @Inject() ( + @Named(TwhinUserFollowFeatureRepository) + client: KeyValueRepository[Seq[Long], Long, ml.FloatTensor], + statsReceiver: StatsReceiver) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TwhinUserFollow") + + override val features: Set[Feature[_, _]] = Set(TwhinUserFollowFeature) + + private val scopedStatsReceiver = statsReceiver.scope(getClass.getSimpleName) + private val keyFoundCounter = scopedStatsReceiver.counter("key/found") + private val keyLossCounter = scopedStatsReceiver.counter("key/loss") + private val keyFailureCounter = scopedStatsReceiver.counter("key/failure") + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val userId = query.getRequiredUserId + Stitch.callFuture( + client(Seq(userId)).map { results => + val embedding: Option[ml.FloatTensor] = results(userId) match { + case Return(value) => + if (value.exists(_.floats.nonEmpty)) keyFoundCounter.incr() + else keyLossCounter.incr() + value + case Throw(_) => + keyFailureCounter.incr() + None + case _ => + None + } + val dataRecord = + new RichDataRecord(new DataRecord, TwhinUserFollowEmbeddingsAdapter.getFeatureContext) + embedding.foreach { floatTensor => + dataRecord.setFeatureValue( + TwhinUserFollowEmbeddingsAdapter.twhinEmbeddingsFeature, + ScalaToJavaDataRecordConversions.scalaTensor2Java( + ml.GeneralTensor + .FloatTensor(floatTensor))) + } + FeatureMapBuilder() + .add(TwhinUserFollowFeature, dataRecord.getRecord) + .build() + } + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserFollowedTopicIdsFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserFollowedTopicIdsFeatureHydrator.scala new file mode 100644 index 000000000..5aed770a1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserFollowedTopicIdsFeatureHydrator.scala @@ -0,0 +1,84 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserFollowedTopicIdsRepository +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.keyvalue.KeyValueResult +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch +import com.twitter.util.Future +import com.twitter.util.Try + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +object UserFollowedTopicIdsFeature extends Feature[TweetCandidate, Seq[Long]] + +@Singleton +class UserFollowedTopicIdsFeatureHydrator @Inject() ( + @Named(UserFollowedTopicIdsRepository) + client: KeyValueRepository[Seq[Long], Long, Seq[Long]], + override val statsReceiver: StatsReceiver) + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with ObservedKeyValueResultHandler { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("UserFollowedTopicIds") + + override val features: Set[Feature[_, _]] = Set(UserFollowedTopicIdsFeature) + + override val statScope: String = identifier.toString + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + Stitch.callFuture { + val possiblyAuthorIds = extractKeys(candidates) + val authorIds = possiblyAuthorIds.flatten + + val response: Future[KeyValueResult[Long, Seq[Long]]] = + if (authorIds.isEmpty) { + Future.value(KeyValueResult.empty) + } else { + client(authorIds) + } + + response.map { result => + possiblyAuthorIds.map { possiblyAuthorId => + val value = observedGet(key = possiblyAuthorId, keyValueResult = result) + val transformedValue = postTransformer(value) + + FeatureMapBuilder() + .add(UserFollowedTopicIdsFeature, transformedValue) + .build() + } + } + } + } + + private def postTransformer(input: Try[Option[Seq[Long]]]): Try[Seq[Long]] = { + input.map(_.getOrElse(Seq.empty[Long])) + } + + private def extractKeys( + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[Long]] = { + candidates.map { candidate => + candidate.features + .getTry(AuthorIdFeature) + .toOption + .flatten + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserLanguagesFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserLanguagesFeatureHydrator.scala new file mode 100644 index 000000000..ad97f3a23 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserLanguagesFeatureHydrator.scala @@ -0,0 +1,35 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserLanguagesStore +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.search.common.constants.{thriftscala => scc} +import com.twitter.stitch.Stitch +import com.twitter.storehaus.ReadableStore +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +object UserLanguagesFeature extends Feature[PipelineQuery, Seq[scc.ThriftLanguage]] + +@Singleton +case class UserLanguagesFeatureHydrator @Inject() ( + @Named(UserLanguagesStore) store: ReadableStore[Long, Seq[scc.ThriftLanguage]]) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("UserLanguages") + + override val features: Set[Feature[_, _]] = Set(UserLanguagesFeature) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + Stitch.callFuture(store.get(query.getRequiredUserId)).map { languages => + FeatureMapBuilder() + .add(UserLanguagesFeature, languages.getOrElse(Seq.empty)) + .build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserStateQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserStateQueryFeatureHydrator.scala new file mode 100644 index 000000000..29532c8e1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UserStateQueryFeatureHydrator.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.UserStateFeature +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.user_health.{thriftscala => uh} +import com.twitter.timelines.user_health.v1.{thriftscala => uhv1} +import com.twitter.user_session_store.ReadOnlyUserSessionStore +import com.twitter.user_session_store.ReadRequest +import com.twitter.user_session_store.UserSessionDataset +import com.twitter.user_session_store.UserSessionDataset.UserSessionDataset + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class UserStateQueryFeatureHydrator @Inject() ( + userSessionStore: ReadOnlyUserSessionStore) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("UserState") + + override val features: Set[Feature[_, _]] = Set(UserStateFeature) + + private val datasets: Set[UserSessionDataset] = Set(UserSessionDataset.UserHealth) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + userSessionStore + .read(ReadRequest(query.getRequiredUserId, datasets)) + .map { userSession => + val userState = userSession.flatMap { + _.userHealth match { + case Some(uh.UserHealth.V1(uhv1.UserHealth(userState))) => userState + case _ => None + } + } + + FeatureMapBuilder() + .add(UserStateFeature, userState) + .build() + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.9) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UtegFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UtegFeatureHydrator.scala new file mode 100644 index 000000000..389a50d03 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/UtegFeatureHydrator.scala @@ -0,0 +1,88 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures.FavoritedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.RealGraphInNetworkScoresFeature +import com.twitter.home_mixer.model.HomeFeatures.RepliedByEngagerIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.RetweetedByEngagerIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UtegSocialProofRepository +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.Conditionally +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.recos.recos_common.{thriftscala => rc} +import com.twitter.recos.user_tweet_entity_graph.{thriftscala => uteg} +import com.twitter.servo.keyvalue.KeyValueResult +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.stitch.Stitch + +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +@Singleton +class UtegFeatureHydrator @Inject() ( + @Named(UtegSocialProofRepository) client: KeyValueRepository[ + (Seq[Long], (Long, Map[Long, Double])), + Long, + uteg.TweetRecommendation + ]) extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with Conditionally[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("Uteg") + + override val features: Set[Feature[_, _]] = Set( + FavoritedByUserIdsFeature, + RetweetedByEngagerIdsFeature, + RepliedByEngagerIdsFeature + ) + + override def onlyIf(query: PipelineQuery): Boolean = query.features + .exists(_.getOrElse(RealGraphInNetworkScoresFeature, Map.empty[Long, Double]).nonEmpty) + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val seedUserWeights = query.features.map(_.get(RealGraphInNetworkScoresFeature)).get + + val sourceTweetIds = candidates.flatMap(_.features.getOrElse(SourceTweetIdFeature, None)) + val inReplyToTweetIds = candidates.flatMap(_.features.getOrElse(InReplyToTweetIdFeature, None)) + val tweetIds = candidates.map(_.candidate.id) + val tweetIdsToSend = (tweetIds ++ sourceTweetIds ++ inReplyToTweetIds).distinct + + val utegQuery = (tweetIdsToSend, (query.getRequiredUserId, seedUserWeights)) + + Stitch + .callFuture(client(utegQuery)) + .map(handleResponse(candidates, _)) + } + + private def handleResponse( + candidates: Seq[CandidateWithFeatures[TweetCandidate]], + results: KeyValueResult[Long, uteg.TweetRecommendation], + ): Seq[FeatureMap] = { + candidates.map { candidate => + val candidateProof = results(candidate.candidate.id).toOption.flatten + val sourceProof = candidate.features + .getOrElse(SourceTweetIdFeature, None).flatMap(results(_).toOption.flatten) + val proofs = Seq(candidateProof, sourceProof).flatten.map(_.socialProofByType) + + val favoritedBy = proofs.flatMap(_.get(rc.SocialProofType.Favorite)).flatten + val retweetedBy = proofs.flatMap(_.get(rc.SocialProofType.Retweet)).flatten + val repliedBy = proofs.flatMap(_.get(rc.SocialProofType.Reply)).flatten + + FeatureMapBuilder() + .add(FavoritedByUserIdsFeature, favoritedBy) + .add(RetweetedByEngagerIdsFeature, retweetedBy) + .add(RepliedByEngagerIdsFeature, repliedBy) + .build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features/AuthorFeaturesAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features/AuthorFeaturesAdapter.scala new file mode 100644 index 000000000..06fc42a53 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features/AuthorFeaturesAdapter.scala @@ -0,0 +1,59 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.author_features + +import com.twitter.ml.api.DataRecordMerger +import com.twitter.ml.api.Feature +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.ml.api.util.CompactDataRecordConverter +import com.twitter.ml.api.util.FDsl._ +import com.twitter.timelines.author_features.v1.{thriftjava => af} +import com.twitter.timelines.prediction.common.adapters.TimelinesMutatingAdapterBase +import com.twitter.timelines.prediction.common.aggregates.TimelinesAggregationConfig +import com.twitter.timelines.prediction.features.user_health.UserHealthFeatures + +object AuthorFeaturesAdapter extends TimelinesMutatingAdapterBase[Option[af.AuthorFeatures]] { + + private val originalAuthorAggregatesFeatures = + TimelinesAggregationConfig.originalAuthorReciprocalEngagementAggregates + .buildTypedAggregateGroups().flatMap(_.allOutputFeatures) + private val authorFeatures = originalAuthorAggregatesFeatures ++ + Seq( + UserHealthFeatures.AuthorState, + UserHealthFeatures.NumAuthorFollowers, + UserHealthFeatures.NumAuthorConnectDays, + UserHealthFeatures.NumAuthorConnect) + private val featureContext = new FeatureContext(authorFeatures: _*) + + override def getFeatureContext: FeatureContext = featureContext + + override val commonFeatures: Set[Feature[_]] = Set.empty + + private val compactDataRecordConverter = new CompactDataRecordConverter() + private val drMerger = new DataRecordMerger() + + override def setFeatures( + authorFeaturesOpt: Option[af.AuthorFeatures], + richDataRecord: RichDataRecord + ): Unit = { + authorFeaturesOpt.foreach { authorFeatures => + val dataRecord = richDataRecord.getRecord + + dataRecord.setFeatureValue( + UserHealthFeatures.AuthorState, + authorFeatures.user_health.user_state.getValue.toLong) + dataRecord.setFeatureValue( + UserHealthFeatures.NumAuthorFollowers, + authorFeatures.user_health.num_followers.toDouble) + dataRecord.setFeatureValue( + UserHealthFeatures.NumAuthorConnectDays, + authorFeatures.user_health.num_connect_days.toDouble) + dataRecord.setFeatureValue( + UserHealthFeatures.NumAuthorConnect, + authorFeatures.user_health.num_connect.toDouble) + + val originalAuthorAggregatesDataRecord = + compactDataRecordConverter.compactDataRecordToDataRecord(authorFeatures.aggregates) + drMerger.merge(dataRecord, originalAuthorAggregatesDataRecord) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features/BUILD.bazel new file mode 100644 index 000000000..ad8e1cd82 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/author_features/BUILD.bazel @@ -0,0 +1,17 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "src/java/com/twitter/ml/api:api-base", + "src/java/com/twitter/ml/api/util", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/timelines/prediction/common/adapters:base", + "src/scala/com/twitter/timelines/prediction/common/aggregates", + "src/scala/com/twitter/timelines/prediction/features/user_health", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/timelines/author_features:thrift-java", + "timelines/data_processing/ml_util/aggregation_framework", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content/BUILD.bazel new file mode 100644 index 000000000..bf9d7e2b8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content/BUILD.bazel @@ -0,0 +1,17 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/timelines/prediction/common/adapters", + "src/scala/com/twitter/timelines/prediction/common/adapters:base", + "src/scala/com/twitter/timelines/prediction/features/common", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/ml/api:data-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content/ContentFeatureAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content/ContentFeatureAdapter.scala new file mode 100644 index 000000000..93cb6036d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/content/ContentFeatureAdapter.scala @@ -0,0 +1,260 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.content + +import com.twitter.home_mixer.model.ContentFeatures +import com.twitter.ml.api.Feature +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.ml.api.util.DataRecordConverters._ +import com.twitter.timelines.prediction.common.adapters.TimelinesMutatingAdapterBase +import com.twitter.timelines.prediction.common.adapters.TweetLengthType +import com.twitter.timelines.prediction.features.common.TimelinesSharedFeatures +import scala.collection.JavaConverters._ + +object ContentFeatureAdapter extends TimelinesMutatingAdapterBase[Option[ContentFeatures]] { + + override val getFeatureContext: FeatureContext = new FeatureContext( + TimelinesSharedFeatures.ASPECT_RATIO_DEN, + TimelinesSharedFeatures.ASPECT_RATIO_NUM, + TimelinesSharedFeatures.BIT_RATE, + TimelinesSharedFeatures.CLASSIFICATION_LABELS, + TimelinesSharedFeatures.COLOR_1_BLUE, + TimelinesSharedFeatures.COLOR_1_GREEN, + TimelinesSharedFeatures.COLOR_1_PERCENTAGE, + TimelinesSharedFeatures.COLOR_1_RED, + TimelinesSharedFeatures.FACE_AREAS, + TimelinesSharedFeatures.HAS_APP_INSTALL_CALL_TO_ACTION, + TimelinesSharedFeatures.HAS_DESCRIPTION, + TimelinesSharedFeatures.HAS_QUESTION, + TimelinesSharedFeatures.HAS_SELECTED_PREVIEW_IMAGE, + TimelinesSharedFeatures.HAS_TITLE, + TimelinesSharedFeatures.HAS_VISIT_SITE_CALL_TO_ACTION, + TimelinesSharedFeatures.HAS_WATCH_NOW_CALL_TO_ACTION, + TimelinesSharedFeatures.HEIGHT_1, + TimelinesSharedFeatures.HEIGHT_2, + TimelinesSharedFeatures.HEIGHT_3, + TimelinesSharedFeatures.HEIGHT_4, + TimelinesSharedFeatures.IS_360, + TimelinesSharedFeatures.IS_EMBEDDABLE, + TimelinesSharedFeatures.IS_MANAGED, + TimelinesSharedFeatures.IS_MONETIZABLE, + TimelinesSharedFeatures.MEDIA_PROVIDERS, + TimelinesSharedFeatures.NUM_CAPS, + TimelinesSharedFeatures.NUM_COLOR_PALLETTE_ITEMS, + TimelinesSharedFeatures.NUM_FACES, + TimelinesSharedFeatures.NUM_MEDIA_TAGS, + TimelinesSharedFeatures.NUM_NEWLINES, + TimelinesSharedFeatures.NUM_STICKERS, + TimelinesSharedFeatures.NUM_WHITESPACES, + TimelinesSharedFeatures.RESIZE_METHOD_1, + TimelinesSharedFeatures.RESIZE_METHOD_2, + TimelinesSharedFeatures.RESIZE_METHOD_3, + TimelinesSharedFeatures.RESIZE_METHOD_4, + TimelinesSharedFeatures.TWEET_LENGTH, + TimelinesSharedFeatures.TWEET_LENGTH_TYPE, + TimelinesSharedFeatures.VIDEO_DURATION, + TimelinesSharedFeatures.VIEW_COUNT, + TimelinesSharedFeatures.WIDTH_1, + TimelinesSharedFeatures.WIDTH_2, + TimelinesSharedFeatures.WIDTH_3, + TimelinesSharedFeatures.WIDTH_4, + ) + + override val commonFeatures: Set[Feature[_]] = Set.empty + + private def getTweetLengthType(tweetLength: Int): Long = { + tweetLength match { + case x if 0 > x || 280 < x => TweetLengthType.INVALID + case x if 0 <= x && x <= 30 => TweetLengthType.VERY_SHORT + case x if 30 < x && x <= 60 => TweetLengthType.SHORT + case x if 60 < x && x <= 90 => TweetLengthType.MEDIUM + case x if 90 < x && x <= 140 => TweetLengthType.LENGTHY + case x if 140 < x && x <= 210 => TweetLengthType.VERY_LENGTHY + case x if x > 210 => TweetLengthType.MAXIMUM_LENGTH + } + } + + override def setFeatures( + contentFeatures: Option[ContentFeatures], + richDataRecord: RichDataRecord + ): Unit = { + if (contentFeatures.nonEmpty) { + val features = contentFeatures.get + // Media Features + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.ASPECT_RATIO_DEN, + features.aspectRatioDen.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.ASPECT_RATIO_NUM, + features.aspectRatioNum.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.BIT_RATE, + features.bitRate.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HEIGHT_1, + features.heights.flatMap(_.lift(0)).map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HEIGHT_2, + features.heights.flatMap(_.lift(1)).map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HEIGHT_3, + features.heights.flatMap(_.lift(2)).map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HEIGHT_4, + features.heights.flatMap(_.lift(3)).map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.NUM_MEDIA_TAGS, + features.numMediaTags.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.RESIZE_METHOD_1, + features.resizeMethods.flatMap(_.lift(0)).map(_.toLong) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.RESIZE_METHOD_2, + features.resizeMethods.flatMap(_.lift(1)).map(_.toLong) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.RESIZE_METHOD_3, + features.resizeMethods.flatMap(_.lift(2)).map(_.toLong) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.RESIZE_METHOD_4, + features.resizeMethods.flatMap(_.lift(3)).map(_.toLong) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.VIDEO_DURATION, + features.videoDurationMs.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.WIDTH_1, + features.widths.flatMap(_.lift(0)).map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.WIDTH_2, + features.widths.flatMap(_.lift(1)).map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.WIDTH_3, + features.widths.flatMap(_.lift(2)).map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.WIDTH_4, + features.widths.flatMap(_.lift(3)).map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.NUM_COLOR_PALLETTE_ITEMS, + features.numColors.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.COLOR_1_RED, + features.dominantColorRed.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.COLOR_1_BLUE, + features.dominantColorBlue.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.COLOR_1_GREEN, + features.dominantColorGreen.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.COLOR_1_PERCENTAGE, + features.dominantColorPercentage + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.MEDIA_PROVIDERS, + features.mediaOriginProviders.map(_.toSet.asJava) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.IS_360, + features.is360 + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.VIEW_COUNT, + features.viewCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.IS_MANAGED, + features.isManaged + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.IS_MONETIZABLE, + features.isMonetizable + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.IS_EMBEDDABLE, + features.isEmbeddable + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.NUM_STICKERS, + features.stickerIds.map(_.length.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.NUM_FACES, + features.faceAreas.map(_.length.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.FACE_AREAS, + // guard for exception from max on empty seq + features.faceAreas.map(faceAreas => + faceAreas.map(_.toDouble).reduceOption(_ max _).getOrElse(0.0)) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HAS_SELECTED_PREVIEW_IMAGE, + features.hasSelectedPreviewImage + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HAS_TITLE, + features.hasTitle + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HAS_DESCRIPTION, + features.hasDescription + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HAS_VISIT_SITE_CALL_TO_ACTION, + features.hasVisitSiteCallToAction + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HAS_APP_INSTALL_CALL_TO_ACTION, + features.hasAppInstallCallToAction + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HAS_WATCH_NOW_CALL_TO_ACTION, + features.hasWatchNowCallToAction + ) + // text features + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.NUM_CAPS, + Some(features.numCaps.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.TWEET_LENGTH, + Some(features.length.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.TWEET_LENGTH_TYPE, + Some(getTweetLengthType(features.length.toInt)) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.NUM_WHITESPACES, + Some(features.numWhiteSpaces.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HAS_QUESTION, + Some(features.hasQuestion) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.NUM_NEWLINES, + features.numNewlines.map(_.toDouble) + ) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird/BUILD.bazel new file mode 100644 index 000000000..9428c0d39 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird/BUILD.bazel @@ -0,0 +1,19 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/timelines/prediction/common/adapters:base", + "src/scala/com/twitter/timelines/prediction/features/common", + "src/scala/com/twitter/timelines/prediction/features/recap", + "src/scala/com/twitter/timelines/util", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/ml/api:data-scala", + "src/thrift/com/twitter/search/common:features-scala", + "timelines/src/main/scala/com/twitter/timelines/util", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird/EarlybirdAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird/EarlybirdAdapter.scala new file mode 100644 index 000000000..833733c16 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/earlybird/EarlybirdAdapter.scala @@ -0,0 +1,453 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.earlybird + +import com.twitter.ml.api.Feature +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.ml.api.util.DataRecordConverters._ +import com.twitter.timelines.prediction.common.adapters.TimelinesMutatingAdapterBase +import com.twitter.search.common.features.{thriftscala => sc} +import com.twitter.timelines.prediction.features.common.TimelinesSharedFeatures +import com.twitter.timelines.prediction.features.recap.RecapFeatures +import com.twitter.timelines.util.UrlExtractorUtil +import java.lang.{Boolean => JBoolean} +import java.lang.{Double => JDouble} +import java.util.{Map => JMap} +import scala.collection.JavaConverters._ + +object EarlybirdAdapter extends TimelinesMutatingAdapterBase[Option[sc.ThriftTweetFeatures]] { + + override val getFeatureContext: FeatureContext = new FeatureContext( + RecapFeatures.BIDIRECTIONAL_FAV_COUNT, + RecapFeatures.BIDIRECTIONAL_REPLY_COUNT, + RecapFeatures.BIDIRECTIONAL_RETWEET_COUNT, + RecapFeatures.BLENDER_SCORE, + RecapFeatures.CONTAINS_MEDIA, + RecapFeatures.CONVERSATIONAL_COUNT, + RecapFeatures.EMBEDS_IMPRESSION_COUNT, + RecapFeatures.EMBEDS_URL_COUNT, + RecapFeatures.FAV_COUNT, + RecapFeatures.FAV_COUNT_V2, + RecapFeatures.FROM_INACTIVE_USER, + RecapFeatures.FROM_MUTUAL_FOLLOW, + RecapFeatures.FROM_VERIFIED_ACCOUNT, + RecapFeatures.HAS_CARD, + RecapFeatures.HAS_CONSUMER_VIDEO, + RecapFeatures.HAS_HASHTAG, + RecapFeatures.HAS_IMAGE, + RecapFeatures.HAS_LINK, + RecapFeatures.HAS_MENTION, + RecapFeatures.HAS_MULTIPLE_HASHTAGS_OR_TRENDS, + RecapFeatures.HAS_MULTIPLE_MEDIA, + RecapFeatures.HAS_NATIVE_IMAGE, + RecapFeatures.HAS_NATIVE_VIDEO, + RecapFeatures.HAS_NEWS, + RecapFeatures.HAS_PERISCOPE, + RecapFeatures.HAS_PRO_VIDEO, + RecapFeatures.HAS_TREND, + RecapFeatures.HAS_VIDEO, + RecapFeatures.HAS_VINE, + RecapFeatures.HAS_VISIBLE_LINK, + RecapFeatures.IS_AUTHOR_BOT, + RecapFeatures.IS_AUTHOR_NEW, + RecapFeatures.IS_AUTHOR_NSFW, + RecapFeatures.IS_AUTHOR_PROFILE_EGG, + RecapFeatures.IS_AUTHOR_SPAM, + RecapFeatures.IS_BUSINESS_SCORE, + RecapFeatures.IS_OFFENSIVE, + RecapFeatures.IS_REPLY, + RecapFeatures.IS_RETWEET, + RecapFeatures.IS_RETWEETER_BOT, + RecapFeatures.IS_RETWEETER_NEW, + RecapFeatures.IS_RETWEETER_NSFW, + RecapFeatures.IS_RETWEETER_PROFILE_EGG, + RecapFeatures.IS_RETWEETER_SPAM, + RecapFeatures.IS_RETWEET_OF_REPLY, + RecapFeatures.IS_SENSITIVE, + RecapFeatures.LANGUAGE, + RecapFeatures.LINK_COUNT, + RecapFeatures.LINK_LANGUAGE, + RecapFeatures.MATCH_SEARCHER_LANGS, + RecapFeatures.MATCH_SEARCHER_MAIN_LANG, + RecapFeatures.MATCH_UI_LANG, + RecapFeatures.MENTIONED_SCREEN_NAMES, + RecapFeatures.MENTION_SEARCHER, + RecapFeatures.NUM_HASHTAGS, + RecapFeatures.NUM_MENTIONS, + RecapFeatures.PREV_USER_TWEET_ENGAGEMENT, + RecapFeatures.PROBABLY_FROM_FOLLOWED_AUTHOR, + RecapFeatures.REPLY_COUNT, + RecapFeatures.REPLY_COUNT_V2, + RecapFeatures.REPLY_OTHER, + RecapFeatures.REPLY_SEARCHER, + RecapFeatures.RETWEET_COUNT, + RecapFeatures.RETWEET_COUNT_V2, + RecapFeatures.RETWEET_DIRECTED_AT_USER_IN_FIRST_DEGREE, + RecapFeatures.RETWEET_OF_MUTUAL_FOLLOW, + RecapFeatures.RETWEET_OTHER, + RecapFeatures.RETWEET_SEARCHER, + RecapFeatures.SIGNATURE, + RecapFeatures.SOURCE_AUTHOR_REP, + RecapFeatures.TEXT_SCORE, + RecapFeatures.TWEET_COUNT_FROM_USER_IN_SNAPSHOT, + RecapFeatures.UNIDIRECTIONAL_FAV_COUNT, + RecapFeatures.UNIDIRECTIONAL_REPLY_COUNT, + RecapFeatures.UNIDIRECTIONAL_RETWEET_COUNT, + RecapFeatures.URL_DOMAINS, + RecapFeatures.USER_REP, + RecapFeatures.VIDEO_VIEW_COUNT, + // shared features + TimelinesSharedFeatures.WEIGHTED_FAV_COUNT, + TimelinesSharedFeatures.WEIGHTED_RETWEET_COUNT, + TimelinesSharedFeatures.WEIGHTED_REPLY_COUNT, + TimelinesSharedFeatures.WEIGHTED_QUOTE_COUNT, + TimelinesSharedFeatures.EMBEDS_IMPRESSION_COUNT_V2, + TimelinesSharedFeatures.EMBEDS_URL_COUNT_V2, + TimelinesSharedFeatures.DECAYED_FAVORITE_COUNT, + TimelinesSharedFeatures.DECAYED_RETWEET_COUNT, + TimelinesSharedFeatures.DECAYED_REPLY_COUNT, + TimelinesSharedFeatures.DECAYED_QUOTE_COUNT, + TimelinesSharedFeatures.FAKE_FAVORITE_COUNT, + TimelinesSharedFeatures.FAKE_RETWEET_COUNT, + TimelinesSharedFeatures.FAKE_REPLY_COUNT, + TimelinesSharedFeatures.FAKE_QUOTE_COUNT, + TimelinesSharedFeatures.QUOTE_COUNT, + TimelinesSharedFeatures.EARLYBIRD_SCORE, + // Safety features + TimelinesSharedFeatures.LABEL_ABUSIVE_FLAG, + TimelinesSharedFeatures.LABEL_ABUSIVE_HI_RCL_FLAG, + TimelinesSharedFeatures.LABEL_DUP_CONTENT_FLAG, + TimelinesSharedFeatures.LABEL_NSFW_HI_PRC_FLAG, + TimelinesSharedFeatures.LABEL_NSFW_HI_RCL_FLAG, + TimelinesSharedFeatures.LABEL_SPAM_FLAG, + TimelinesSharedFeatures.LABEL_SPAM_HI_RCL_FLAG, + // periscope features + TimelinesSharedFeatures.PERISCOPE_EXISTS, + TimelinesSharedFeatures.PERISCOPE_IS_LIVE, + TimelinesSharedFeatures.PERISCOPE_HAS_BEEN_FEATURED, + TimelinesSharedFeatures.PERISCOPE_IS_CURRENTLY_FEATURED, + TimelinesSharedFeatures.PERISCOPE_IS_FROM_QUALITY_SOURCE, + // VISIBLE_TOKEN_RATIO + TimelinesSharedFeatures.VISIBLE_TOKEN_RATIO, + TimelinesSharedFeatures.HAS_QUOTE, + TimelinesSharedFeatures.IS_COMPOSER_SOURCE_CAMERA, + // health features + TimelinesSharedFeatures.PREPORTED_TWEET_SCORE, + // media + TimelinesSharedFeatures.CLASSIFICATION_LABELS + ) + + override val commonFeatures: Set[Feature[_]] = Set.empty + + override def setFeatures( + ebFeatures: Option[sc.ThriftTweetFeatures], + richDataRecord: RichDataRecord + ): Unit = { + if (ebFeatures.nonEmpty) { + val features = ebFeatures.get + richDataRecord.setFeatureValue[JDouble]( + RecapFeatures.PREV_USER_TWEET_ENGAGEMENT, + features.prevUserTweetEngagement.toDouble + ) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.IS_SENSITIVE, features.isSensitiveContent) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.HAS_MULTIPLE_MEDIA, features.hasMultipleMedia) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.IS_AUTHOR_PROFILE_EGG, features.isAuthorProfileEgg) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.IS_AUTHOR_NEW, features.isAuthorNew) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.NUM_MENTIONS, features.numMentions.toDouble) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_MENTION, features.numMentions > 0) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.NUM_HASHTAGS, features.numHashtags.toDouble) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_HASHTAG, features.numHashtags > 0) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.LINK_LANGUAGE, features.linkLanguage.toDouble) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.IS_AUTHOR_NSFW, features.isAuthorNSFW) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.IS_AUTHOR_SPAM, features.isAuthorSpam) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.IS_AUTHOR_BOT, features.isAuthorBot) + richDataRecord.setFeatureValueFromOption( + RecapFeatures.LANGUAGE, + features.language.map(_.getValue.toLong)) + richDataRecord.setFeatureValueFromOption( + RecapFeatures.SIGNATURE, + features.signature.map(_.toLong)) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.FROM_INACTIVE_USER, features.fromInActiveUser) + richDataRecord + .setFeatureValue[JBoolean]( + RecapFeatures.PROBABLY_FROM_FOLLOWED_AUTHOR, + features.probablyFromFollowedAuthor) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.FROM_MUTUAL_FOLLOW, features.fromMutualFollow) + richDataRecord.setFeatureValue[JBoolean]( + RecapFeatures.FROM_VERIFIED_ACCOUNT, + features.fromVerifiedAccount) + richDataRecord.setFeatureValue[JDouble](RecapFeatures.USER_REP, features.userRep) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.IS_BUSINESS_SCORE, features.isBusinessScore) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.HAS_CONSUMER_VIDEO, features.hasConsumerVideo) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_PRO_VIDEO, features.hasProVideo) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_VINE, features.hasVine) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_PERISCOPE, features.hasPeriscope) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.HAS_NATIVE_VIDEO, features.hasNativeVideo) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.HAS_NATIVE_IMAGE, features.hasNativeImage) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_CARD, features.hasCard) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_IMAGE, features.hasImage) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_NEWS, features.hasNews) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_VIDEO, features.hasVideo) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.CONTAINS_MEDIA, features.containsMedia) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.RETWEET_SEARCHER, features.retweetSearcher) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.REPLY_SEARCHER, features.replySearcher) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.MENTION_SEARCHER, features.mentionSearcher) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.REPLY_OTHER, features.replyOther) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.RETWEET_OTHER, features.retweetOther) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.IS_REPLY, features.isReply) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.IS_RETWEET, features.isRetweet) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.IS_OFFENSIVE, features.isOffensive) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.MATCH_UI_LANG, features.matchesUILang) + richDataRecord + .setFeatureValue[JBoolean]( + RecapFeatures.MATCH_SEARCHER_MAIN_LANG, + features.matchesSearcherMainLang) + richDataRecord.setFeatureValue[JBoolean]( + RecapFeatures.MATCH_SEARCHER_LANGS, + features.matchesSearcherLangs) + richDataRecord + .setFeatureValue[JDouble]( + RecapFeatures.BIDIRECTIONAL_FAV_COUNT, + features.bidirectionalFavCount) + richDataRecord + .setFeatureValue[JDouble]( + RecapFeatures.UNIDIRECTIONAL_FAV_COUNT, + features.unidirectionalFavCount) + richDataRecord + .setFeatureValue[JDouble]( + RecapFeatures.BIDIRECTIONAL_REPLY_COUNT, + features.bidirectionalReplyCount) + richDataRecord + .setFeatureValue[JDouble]( + RecapFeatures.UNIDIRECTIONAL_REPLY_COUNT, + features.unidirectionalReplyCount) + richDataRecord + .setFeatureValue[JDouble]( + RecapFeatures.BIDIRECTIONAL_RETWEET_COUNT, + features.bidirectionalRetweetCount) + richDataRecord + .setFeatureValue[JDouble]( + RecapFeatures.UNIDIRECTIONAL_RETWEET_COUNT, + features.unidirectionalRetweetCount) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.CONVERSATIONAL_COUNT, features.conversationCount) + richDataRecord.setFeatureValue[JDouble]( + RecapFeatures.TWEET_COUNT_FROM_USER_IN_SNAPSHOT, + features.tweetCountFromUserInSnapshot + ) + richDataRecord + .setFeatureValue[JBoolean]( + RecapFeatures.IS_RETWEETER_PROFILE_EGG, + features.isRetweeterProfileEgg) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.IS_RETWEETER_NEW, features.isRetweeterNew) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.IS_RETWEETER_BOT, features.isRetweeterBot) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.IS_RETWEETER_NSFW, features.isRetweeterNSFW) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.IS_RETWEETER_SPAM, features.isRetweeterSpam) + richDataRecord + .setFeatureValue[JBoolean]( + RecapFeatures.RETWEET_OF_MUTUAL_FOLLOW, + features.retweetOfMutualFollow) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.SOURCE_AUTHOR_REP, features.sourceAuthorRep) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.IS_RETWEET_OF_REPLY, features.isRetweetOfReply) + richDataRecord.setFeatureValueFromOption( + RecapFeatures.RETWEET_DIRECTED_AT_USER_IN_FIRST_DEGREE, + features.retweetDirectedAtUserInFirstDegree + ) + richDataRecord + .setFeatureValue[JDouble]( + RecapFeatures.EMBEDS_IMPRESSION_COUNT, + features.embedsImpressionCount.toDouble) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.EMBEDS_URL_COUNT, features.embedsUrlCount.toDouble) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.VIDEO_VIEW_COUNT, features.videoViewCount.toDouble) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.REPLY_COUNT, features.replyCount.toDouble) + richDataRecord + .setFeatureValue[JDouble](RecapFeatures.RETWEET_COUNT, features.retweetCount.toDouble) + richDataRecord.setFeatureValue[JDouble](RecapFeatures.FAV_COUNT, features.favCount.toDouble) + richDataRecord.setFeatureValue[JDouble](RecapFeatures.BLENDER_SCORE, features.blenderScore) + richDataRecord.setFeatureValue[JDouble](RecapFeatures.TEXT_SCORE, features.textScore) + richDataRecord + .setFeatureValue[JBoolean](RecapFeatures.HAS_VISIBLE_LINK, features.hasVisibleLink) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_LINK, features.hasLink) + richDataRecord.setFeatureValue[JBoolean](RecapFeatures.HAS_TREND, features.hasTrend) + richDataRecord.setFeatureValue[JBoolean]( + RecapFeatures.HAS_MULTIPLE_HASHTAGS_OR_TRENDS, + features.hasMultipleHashtagsOrTrends + ) + richDataRecord.setFeatureValueFromOption( + RecapFeatures.FAV_COUNT_V2, + features.favCountV2.map(_.toDouble)) + richDataRecord.setFeatureValueFromOption( + RecapFeatures.RETWEET_COUNT_V2, + features.retweetCountV2.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + RecapFeatures.REPLY_COUNT_V2, + features.replyCountV2.map(_.toDouble)) + val urls = features.urlsList.getOrElse(Seq.empty) + richDataRecord.setFeatureValue( + RecapFeatures.URL_DOMAINS, + urls.toSet.flatMap(UrlExtractorUtil.extractDomain).asJava) + richDataRecord.setFeatureValue[JDouble](RecapFeatures.LINK_COUNT, urls.size.toDouble) + // shared features + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.WEIGHTED_FAV_COUNT, + features.weightedFavoriteCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.WEIGHTED_RETWEET_COUNT, + features.weightedRetweetCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.WEIGHTED_REPLY_COUNT, + features.weightedReplyCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.WEIGHTED_QUOTE_COUNT, + features.weightedQuoteCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.EMBEDS_IMPRESSION_COUNT_V2, + features.embedsImpressionCountV2.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.EMBEDS_URL_COUNT_V2, + features.embedsUrlCountV2.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.DECAYED_FAVORITE_COUNT, + features.decayedFavoriteCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.DECAYED_RETWEET_COUNT, + features.decayedRetweetCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.DECAYED_REPLY_COUNT, + features.decayedReplyCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.DECAYED_QUOTE_COUNT, + features.decayedQuoteCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.FAKE_FAVORITE_COUNT, + features.fakeFavoriteCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.FAKE_RETWEET_COUNT, + features.fakeRetweetCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.FAKE_REPLY_COUNT, + features.fakeReplyCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.FAKE_QUOTE_COUNT, + features.fakeQuoteCount.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.QUOTE_COUNT, + features.quoteCount.map(_.toDouble) + ) + richDataRecord.setFeatureValue[JDouble]( + TimelinesSharedFeatures.EARLYBIRD_SCORE, + features.earlybirdScore + ) + // safety features + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.LABEL_ABUSIVE_FLAG, + features.labelAbusiveFlag + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.LABEL_ABUSIVE_HI_RCL_FLAG, + features.labelAbusiveHiRclFlag + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.LABEL_DUP_CONTENT_FLAG, + features.labelDupContentFlag + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.LABEL_NSFW_HI_PRC_FLAG, + features.labelNsfwHiPrcFlag + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.LABEL_NSFW_HI_RCL_FLAG, + features.labelNsfwHiRclFlag + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.LABEL_SPAM_FLAG, + features.labelSpamFlag + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.LABEL_SPAM_HI_RCL_FLAG, + features.labelSpamHiRclFlag + ) + // periscope features + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.PERISCOPE_EXISTS, + features.periscopeExists + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.PERISCOPE_IS_LIVE, + features.periscopeIsLive + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.PERISCOPE_HAS_BEEN_FEATURED, + features.periscopeHasBeenFeatured + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.PERISCOPE_IS_CURRENTLY_FEATURED, + features.periscopeIsCurrentlyFeatured + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.PERISCOPE_IS_FROM_QUALITY_SOURCE, + features.periscopeIsFromQualitySource + ) + // misc features + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.VISIBLE_TOKEN_RATIO, + features.visibleTokenRatio.map(_.toDouble) + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.HAS_QUOTE, + features.hasQuote + ) + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.IS_COMPOSER_SOURCE_CAMERA, + features.isComposerSourceCamera + ) + // health scores + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.PREPORTED_TWEET_SCORE, + features.pReportedTweetScore + ) + // media + richDataRecord.setFeatureValueFromOption( + TimelinesSharedFeatures.CLASSIFICATION_LABELS, + features.mediaClassificationInfo.map(_.toMap.asJava.asInstanceOf[JMap[String, JDouble]]) + ) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic/BUILD.bazel new file mode 100644 index 000000000..acf19eabb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic/BUILD.bazel @@ -0,0 +1,13 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/timelines/prediction/common/adapters:base", + "src/scala/com/twitter/timelines/prediction/features/common", + "src/thrift/com/twitter/ml/api:data-java", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic/InferredTopicAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic/InferredTopicAdapter.scala new file mode 100644 index 000000000..62125ea5a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/inferred_topic/InferredTopicAdapter.scala @@ -0,0 +1,25 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.inferred_topic + +import com.twitter.ml.api.Feature +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.timelines.prediction.common.adapters.TimelinesMutatingAdapterBase +import com.twitter.timelines.prediction.features.common.TimelinesSharedFeatures +import scala.collection.JavaConverters._ + +object InferredTopicAdapter extends TimelinesMutatingAdapterBase[Map[Long, Double]] { + + override val getFeatureContext: FeatureContext = new FeatureContext( + TimelinesSharedFeatures.INFERRED_TOPIC_IDS) + + override val commonFeatures: Set[Feature[_]] = Set.empty + + override def setFeatures( + inferredTopicFeatures: Map[Long, Double], + richDataRecord: RichDataRecord + ): Unit = { + richDataRecord.setFeatureValue( + TimelinesSharedFeatures.INFERRED_TOPIC_IDS, + inferredTopicFeatures.keys.map(_.toString).toSet.asJava) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/BUILD.bazel new file mode 100644 index 000000000..d1a7281c5 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/BUILD.bazel @@ -0,0 +1,15 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "src/java/com/twitter/ml/api:api-base", + "src/java/com/twitter/ml/api/constant", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/timelines/prediction/common/adapters:base", + "src/scala/com/twitter/timelines/prediction/features/common", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/timelines/author_features:thrift-java", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/NonMLCandidateFeaturesAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/NonMLCandidateFeaturesAdapter.scala new file mode 100644 index 000000000..24e0edb9b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/NonMLCandidateFeaturesAdapter.scala @@ -0,0 +1,44 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.non_ml_features + +import com.twitter.ml.api.constant.SharedFeatures +import com.twitter.ml.api.Feature +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.timelines.prediction.common.adapters.TimelinesMutatingAdapterBase +import com.twitter.timelines.prediction.features.common.TimelinesSharedFeatures +import java.lang.{Long => JLong} + +case class NonMLCandidateFeatures( + tweetId: Long, + sourceTweetId: Option[Long], + originalAuthorId: Option[Long], +) + +/** + * define non ml features adapter to create a data record which includes many non ml features + * e.g. predictionRequestId, userId, tweetId to be used as joined key in batch pipeline. + */ +object NonMLCandidateFeaturesAdapter extends TimelinesMutatingAdapterBase[NonMLCandidateFeatures] { + + private val featureContext = new FeatureContext( + SharedFeatures.TWEET_ID, + // For Secondary Engagement data generation + TimelinesSharedFeatures.SOURCE_TWEET_ID, + TimelinesSharedFeatures.ORIGINAL_AUTHOR_ID, + ) + + override def getFeatureContext: FeatureContext = featureContext + + override val commonFeatures: Set[Feature[_]] = Set.empty + + override def setFeatures( + nonMLCandidateFeatures: NonMLCandidateFeatures, + richDataRecord: RichDataRecord + ): Unit = { + richDataRecord.setFeatureValue[JLong](SharedFeatures.TWEET_ID, nonMLCandidateFeatures.tweetId) + nonMLCandidateFeatures.sourceTweetId.foreach( + richDataRecord.setFeatureValue[JLong](TimelinesSharedFeatures.SOURCE_TWEET_ID, _)) + nonMLCandidateFeatures.originalAuthorId.foreach( + richDataRecord.setFeatureValue[JLong](TimelinesSharedFeatures.ORIGINAL_AUTHOR_ID, _)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/NonMLCommonFeaturesAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/NonMLCommonFeaturesAdapter.scala new file mode 100644 index 000000000..612c4900c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features/NonMLCommonFeaturesAdapter.scala @@ -0,0 +1,48 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.non_ml_features + +import com.twitter.ml.api.constant.SharedFeatures +import com.twitter.ml.api.Feature +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.timelines.prediction.common.adapters.TimelinesMutatingAdapterBase +import com.twitter.timelines.prediction.features.common.TimelinesSharedFeatures +import java.lang.{Long => JLong} + +case class NonMLCommonFeatures( + userId: Long, + predictionRequestId: Option[Long], + servedTimestamp: Long, +) + +/** + * define non ml features adapter to create a data record which includes many non ml features + * e.g. predictionRequestId, userId, tweetId to be used as joined key in batch pipeline. + */ +object NonMLCommonFeaturesAdapter extends TimelinesMutatingAdapterBase[NonMLCommonFeatures] { + + private val featureContext = new FeatureContext( + SharedFeatures.USER_ID, + TimelinesSharedFeatures.PREDICTION_REQUEST_ID, + TimelinesSharedFeatures.SERVED_TIMESTAMP, + ) + + override def getFeatureContext: FeatureContext = featureContext + + override val commonFeatures: Set[Feature[_]] = Set( + SharedFeatures.USER_ID, + TimelinesSharedFeatures.PREDICTION_REQUEST_ID, + TimelinesSharedFeatures.SERVED_TIMESTAMP, + ) + + override def setFeatures( + nonMLCommonFeatures: NonMLCommonFeatures, + richDataRecord: RichDataRecord + ): Unit = { + richDataRecord.setFeatureValue[JLong](SharedFeatures.USER_ID, nonMLCommonFeatures.userId) + nonMLCommonFeatures.predictionRequestId.foreach( + richDataRecord.setFeatureValue[JLong](TimelinesSharedFeatures.PREDICTION_REQUEST_ID, _)) + richDataRecord.setFeatureValue[JLong]( + TimelinesSharedFeatures.SERVED_TIMESTAMP, + nonMLCommonFeatures.servedTimestamp) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/BUILD.bazel new file mode 100644 index 000000000..bfff86d3f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/BUILD.bazel @@ -0,0 +1,13 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/timelines/prediction/common/adapters:base", + "src/thrift/com/twitter/ml/api:data-java", + "timelines/data_processing/ml_util/aggregation_framework/conversion:for-timelines", + "timelineservice/common/src/main/scala/com/twitter/timelineservice/model", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/PassThroughAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/PassThroughAdapter.scala new file mode 100644 index 000000000..cd5ab020f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/PassThroughAdapter.scala @@ -0,0 +1,12 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.offline_aggregates + +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.IRecordOneToOneAdapter + +object PassThroughAdapter extends IRecordOneToOneAdapter[Seq[DataRecord]] { + override def adaptToDataRecord(record: Seq[DataRecord]): DataRecord = + record.headOption.getOrElse(new DataRecord) + + // This is not necessary and should not be used. + override def getFeatureContext = ??? +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/SparseAggregatesToDenseAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/SparseAggregatesToDenseAdapter.scala new file mode 100644 index 000000000..816b35069 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates/SparseAggregatesToDenseAdapter.scala @@ -0,0 +1,17 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.offline_aggregates + +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.conversion.CombineCountsPolicy +import com.twitter.timelines.prediction.common.adapters.TimelinesIRecordAdapter + +class SparseAggregatesToDenseAdapter(policy: CombineCountsPolicy) + extends TimelinesIRecordAdapter[Seq[DataRecord]] { + + override def setFeatures(input: Seq[DataRecord], mutableDataRecord: RichDataRecord): Unit = + policy.defaultMergeRecord(mutableDataRecord.getRecord, input.toList) + + override val getFeatureContext: FeatureContext = + new FeatureContext(policy.outputFeaturesPostMerge.toSeq: _*) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/twhin_embeddings/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/twhin_embeddings/BUILD.bazel new file mode 100644 index 000000000..c32c29ce5 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/twhin_embeddings/BUILD.bazel @@ -0,0 +1,16 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api:api-base", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/timelines/prediction/common/adapters:base", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/ml/api:data-scala", + "src/thrift/com/twitter/ml/api:embedding-java", + "src/thrift/com/twitter/ml/api:embedding-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/twhin_embeddings/TwhinEmbeddingsAdapter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/twhin_embeddings/TwhinEmbeddingsAdapter.scala new file mode 100644 index 000000000..99c4ba8dd --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/twhin_embeddings/TwhinEmbeddingsAdapter.scala @@ -0,0 +1,81 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.adapters.twhin_embeddings + +import com.twitter.ml.api.util.BufferToIterators.RichFloatBuffer +import com.twitter.ml.api.util.ScalaToJavaDataRecordConversions +import com.twitter.ml.api.DataType +import com.twitter.ml.api.Feature +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.ml.api.{thriftscala => ml} +import com.twitter.timelines.prediction.common.adapters.TimelinesMutatingAdapterBase + +import java.nio.ByteOrder + +sealed trait TwhinEmbeddingsAdapter extends TimelinesMutatingAdapterBase[Option[ml.Embedding]] { + def twhinEmbeddingsFeature: Feature.Tensor + + override def getFeatureContext: FeatureContext = new FeatureContext( + twhinEmbeddingsFeature + ) + + override def setFeatures( + embedding: Option[ml.Embedding], + richDataRecord: RichDataRecord + ): Unit = { + embedding.foreach { embedding => + val floatTensor = embedding.tensor map { tensor => + ml.FloatTensor( + tensor.content + .order(ByteOrder.LITTLE_ENDIAN) + .asFloatBuffer + .iterator.toList + .map(_.toDouble)) + } + + floatTensor.foreach { v => + richDataRecord.setFeatureValue( + twhinEmbeddingsFeature, + ScalaToJavaDataRecordConversions.scalaTensor2Java(ml.GeneralTensor.FloatTensor(v)) + ) + } + } + } +} + +object TwhinEmbeddingsFeatures { + val TwhinAuthorFollowEmbeddingsFeature: Feature.Tensor = new Feature.Tensor( + "original_author.timelines.twhin_author_follow_embeddings.twhin_author_follow_embeddings", + DataType.FLOAT + ) + + val TwhinUserEngagementEmbeddingsFeature: Feature.Tensor = new Feature.Tensor( + "user.timelines.twhin_user_engagement_embeddings.twhin_user_engagement_embeddings", + DataType.FLOAT + ) + + val TwhinUserFollowEmbeddingsFeature: Feature.Tensor = new Feature.Tensor( + "user.timelines.twhin_user_follow_embeddings.twhin_user_follow_embeddings", + DataType.FLOAT + ) +} + +object TwhinAuthorFollowEmbeddingsAdapter extends TwhinEmbeddingsAdapter { + override val twhinEmbeddingsFeature: Feature.Tensor = + TwhinEmbeddingsFeatures.TwhinAuthorFollowEmbeddingsFeature + + override val commonFeatures: Set[Feature[_]] = Set.empty +} + +object TwhinUserEngagementEmbeddingsAdapter extends TwhinEmbeddingsAdapter { + override val twhinEmbeddingsFeature: Feature.Tensor = + TwhinEmbeddingsFeatures.TwhinUserEngagementEmbeddingsFeature + + override val commonFeatures: Set[Feature[_]] = Set(twhinEmbeddingsFeature) +} + +object TwhinUserFollowEmbeddingsAdapter extends TwhinEmbeddingsAdapter { + override val twhinEmbeddingsFeature: Feature.Tensor = + TwhinEmbeddingsFeatures.TwhinUserFollowEmbeddingsFeature + + override val commonFeatures: Set[Feature[_]] = Set(twhinEmbeddingsFeature) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/AggregateFeatureInfo.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/AggregateFeatureInfo.scala new file mode 100644 index 000000000..a1186e2f4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/AggregateFeatureInfo.scala @@ -0,0 +1,37 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.ml.api.FeatureContext +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateType.AggregateType +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.TypedAggregateGroup +import scala.jdk.CollectionConverters.asJavaIterableConverter + +// A helper class deriving aggregate feature info from the given configuration parameters. +class AggregateFeatureInfo( + val aggregateGroups: Set[AggregateGroup], + val aggregateType: AggregateType) { + + private val typedAggregateGroups = aggregateGroups.flatMap(_.buildTypedAggregateGroups()).toList + + val featureContext: FeatureContext = + new FeatureContext( + (typedAggregateGroups.flatMap(_.allOutputFeatures) ++ + typedAggregateGroups.flatMap(_.allOutputKeys) ++ + Seq(TypedAggregateGroup.timestampFeature)).asJava) + + val feature: BaseAggregateRootFeature = + AggregateFeatureInfo.pickFeature(aggregateType) +} + +object AggregateFeatureInfo { + val features: Set[BaseAggregateRootFeature] = + Set(PartAAggregateRootFeature, PartBAggregateRootFeature) + + def pickFeature(aggregateType: AggregateType): BaseAggregateRootFeature = { + val filtered = features.filter(_.aggregateTypes.contains(aggregateType)) + require( + filtered.size == 1, + "requested AggregateType must be backed by exactly one physical store.") + filtered.head + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/AggregateFeaturesToDecodeWithMetadata.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/AggregateFeaturesToDecodeWithMetadata.scala new file mode 100644 index 000000000..cbda35437 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/AggregateFeaturesToDecodeWithMetadata.scala @@ -0,0 +1,68 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.finagle.stats.NullStatsReceiver +import com.twitter.timelinemixer.injection.repository.uss.VersionedAggregateFeaturesDecoder +import com.twitter.ml.api.DataRecord +import com.twitter.timelines.aggregate_interactions.thriftjava.UserAggregateInteractions +import com.twitter.timelines.aggregate_interactions.v17.thriftjava.{ + UserAggregateInteractions => V17UserAggregateInteractions +} +import com.twitter.timelines.aggregate_interactions.v1.thriftjava.{ + UserAggregateInteractions => V1UserAggregateInteractions +} +import com.twitter.timelines.suggests.common.dense_data_record.thriftjava.DenseCompactDataRecord +import com.twitter.timelines.suggests.common.dense_data_record.thriftscala.DenseFeatureMetadata +import java.lang.{Long => JLong} +import java.util.Collections +import java.util.{Map => JMap} + +private[offline_aggregates] case class AggregateFeaturesToDecodeWithMetadata( + metadataOpt: Option[DenseFeatureMetadata], + aggregates: UserAggregateInteractions) { + def toDataRecord(dr: DenseCompactDataRecord): DataRecord = + VersionedAggregateFeaturesDecoder.fromJDenseCompact( + metadataOpt, + dr.versionId, + NullStatsReceiver, + s"V${dr.versionId}" + )(dr) + + def userAggregatesOpt: Option[DenseCompactDataRecord] = { + aggregates.getSetField match { + case UserAggregateInteractions._Fields.V17 => + Option(aggregates.getV17.user_aggregates) + case _ => + None + } + } + + def userAuthorAggregates = extract(_.user_author_aggregates) + def userEngagerAggregates = extract(_.user_engager_aggregates) + def userMentionAggregates = extract(_.user_mention_aggregates) + def userOriginalAuthorAggregates = extract(_.user_original_author_aggregates) + def userRequestDowAggregates = extract(_.user_request_dow_aggregates) + def userRequestHourAggregates = extract(_.user_request_hour_aggregates) + def rectweetUserSimclustersTweetAggregates = extract(_.rectweet_user_simclusters_tweet_aggregates) + def userTwitterListAggregates = extract(_.user_list_aggregates) + def userTopicAggregates = extract(_.user_topic_aggregates) + def userInferredTopicAggregates = extract(_.user_inferred_topic_aggregates) + def userMediaUnderstandingAnnotationAggregates = extract( + _.user_media_understanding_annotation_aggregates) + + private def extract[T]( + v17Fn: V17UserAggregateInteractions => JMap[JLong, DenseCompactDataRecord] + ): JMap[JLong, DenseCompactDataRecord] = { + aggregates.getSetField match { + case UserAggregateInteractions._Fields.V17 => + v17Fn(aggregates.getV17) + case _ => + Collections.emptyMap() + } + } +} + +object AggregateFeaturesToDecodeWithMetadata { + val empty = new AggregateFeaturesToDecodeWithMetadata( + None, + UserAggregateInteractions.v1(new V1UserAggregateInteractions())) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BUILD.bazel new file mode 100644 index 000000000..d9c353df1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BUILD.bazel @@ -0,0 +1,38 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-core/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/offline_aggregates", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator", + "servo/repo/src/main/scala", + "src/java/com/twitter/ml/api:api-base", + "src/scala/com/twitter/timelines/prediction/adapters/request_context", + "src/scala/com/twitter/timelines/prediction/common/adapters:base", + "src/scala/com/twitter/timelines/prediction/common/aggregates", + "src/scala/com/twitter/timelines/util", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/timelines/suggests/common:data_record_metadata-scala", + "src/thrift/com/twitter/timelines/suggests/common:dense_data_record-scala", + "src/thrift/com/twitter/tweetypie:service-scala", + "src/thrift/com/twitter/tweetypie:tweet-scala", + "src/thrift/com/twitter/user_session_store:thrift-java", + "stitch/stitch-core", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/repository/uss:versioned-aggregate-features-decoder", + "timelines/data_processing/jobs/timeline_ranking_user_features:mini", + "timelines/data_processing/ml_util/aggregation_framework:common_types", + "timelines/data_processing/ml_util/aggregation_framework/conversion:for-timelines", + "timelineservice/common/src/main/scala/com/twitter/timelineservice/model", + "user_session_store/src/main/scala/com/twitter/user_session_store", + "util/util-core", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BaseAggregateQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BaseAggregateQueryFeatureHydrator.scala new file mode 100644 index 000000000..b58f23d2e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BaseAggregateQueryFeatureHydrator.scala @@ -0,0 +1,76 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.repository.Repository +import com.twitter.stitch.Stitch +import com.twitter.timelines.aggregate_interactions.thriftjava.UserAggregateInteractions +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateType.AggregateType +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.StoreConfig +import com.twitter.timelines.suggests.common.dense_data_record.thriftscala.DenseFeatureMetadata +import com.twitter.user_session_store.thriftjava.UserSession +import com.twitter.util.Future + +abstract class BaseAggregateQueryFeatureHydrator( + featureRepository: Repository[Long, Option[UserSession]], + metadataRepository: Repository[Int, Option[DenseFeatureMetadata]], + feature: Feature[PipelineQuery, Option[AggregateFeaturesToDecodeWithMetadata]]) + extends QueryFeatureHydrator[PipelineQuery] { + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val viewerId = query.getRequiredUserId + + Stitch.callFuture( + featureRepository(viewerId) + .flatMap { userSession: Option[UserSession] => + val featuresWithMetadata: Option[Future[AggregateFeaturesToDecodeWithMetadata]] = + userSession + .flatMap(decodeUserSession(_)) + + featuresWithMetadata + .map { fu: Future[AggregateFeaturesToDecodeWithMetadata] => fu.map(Some(_)) } + .getOrElse(Future.None) + .map { value => + FeatureMapBuilder() + .add(feature, value) + .build() + } + } + ) + } + + private def decodeUserSession( + session: UserSession + ): Option[Future[AggregateFeaturesToDecodeWithMetadata]] = { + Option(session.user_aggregate_interactions).flatMap { aggregates => + aggregates.getSetField match { + case UserAggregateInteractions._Fields.V17 => + Some( + getAggregateFeaturesWithMetadata( + aggregates.getV17.user_aggregates.versionId, + UserAggregateInteractions.v17(aggregates.getV17)) + ) + case _ => + None + } + } + } + + private def getAggregateFeaturesWithMetadata( + versionId: Int, + userAggregateInteractions: UserAggregateInteractions, + ): Future[AggregateFeaturesToDecodeWithMetadata] = { + metadataRepository(versionId) + .map(AggregateFeaturesToDecodeWithMetadata(_, userAggregateInteractions)) + } +} + +trait BaseAggregateRootFeature + extends Feature[PipelineQuery, Option[AggregateFeaturesToDecodeWithMetadata]] { + def aggregateStores: Set[StoreConfig[_]] + + lazy val aggregateTypes: Set[AggregateType] = aggregateStores.map(_.aggregateType) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BaseEdgeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BaseEdgeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..fde5ab909 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/BaseEdgeAggregateFeatureHydrator.scala @@ -0,0 +1,93 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.IRecordOneToOneAdapter +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateType.AggregateType +import com.twitter.timelines.suggests.common.dense_data_record.thriftjava.DenseCompactDataRecord +import java.lang.{Long => JLong} +import java.util.{Map => JMap} + +abstract case class BaseEdgeAggregateFeature( + aggregateGroups: Set[AggregateGroup], + aggregateType: AggregateType, + extractMapFn: AggregateFeaturesToDecodeWithMetadata => JMap[JLong, DenseCompactDataRecord], + adapter: IRecordOneToOneAdapter[Seq[DataRecord]], + getSecondaryKeysFn: CandidateWithFeatures[TweetCandidate] => Seq[Long]) + extends DataRecordInAFeature[PipelineQuery] + with FeatureWithDefaultOnFailure[PipelineQuery, DataRecord] { + override def defaultValue: DataRecord = new DataRecord + + private val rootFeatureInfo = new AggregateFeatureInfo(aggregateGroups, aggregateType) + val featureContext: FeatureContext = rootFeatureInfo.featureContext + val rootFeature: BaseAggregateRootFeature = rootFeatureInfo.feature +} + +trait BaseEdgeAggregateFeatureHydrator + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] { + + def aggregateFeatures: Set[BaseEdgeAggregateFeature] + + override def features = aggregateFeatures.asInstanceOf[Set[Feature[_, _]]] + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + + val featureMapBuilders: Seq[FeatureMapBuilder] = + for (_ <- candidates) yield FeatureMapBuilder() + + aggregateFeatures.foreach { feature => + val featureValues = hydrateAggregateFeature(query, candidates, feature) + (featureMapBuilders zip featureValues).foreach { + case (featureMapBuilder, featureValue) => featureMapBuilder.add(feature, featureValue) + } + } + + Stitch.value(featureMapBuilders.map(_.build())) + } + + private def hydrateAggregateFeature( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]], + feature: BaseEdgeAggregateFeature + ): Seq[DataRecord] = { + val rootFeature = feature.rootFeature + val extractMapFn = feature.extractMapFn + val featureContext = feature.featureContext + val secondaryIds: Seq[Seq[Long]] = candidates.map(feature.getSecondaryKeysFn) + + val featuresToDecodeWithMetadata = query.features + .flatMap(_.getOrElse(rootFeature, None)) + .getOrElse(AggregateFeaturesToDecodeWithMetadata.empty) + + // Decode the DenseCompactDataRecords into DataRecords for each required secondary id. + val decoded: Map[Long, DataRecord] = + Utils.selectAndTransform( + secondaryIds.flatten.distinct, + featuresToDecodeWithMetadata.toDataRecord, + extractMapFn(featuresToDecodeWithMetadata)) + + // Remove unnecessary features in-place. This is safe because the underlying DataRecords + // are unique and have just been generated in the previous step. + decoded.values.foreach(Utils.filterDataRecord(_, featureContext)) + + // Put features into the FeatureMapBuilder's + secondaryIds.map { ids => + val dataRecords = ids.flatMap(decoded.get) + feature.adapter.adaptToDataRecord(dataRecords) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/EdgeAggregateFeatures.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/EdgeAggregateFeatures.scala new file mode 100644 index 000000000..d637b3b3d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/EdgeAggregateFeatures.scala @@ -0,0 +1,107 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.home_mixer.functional_component.feature_hydrator.TSPInferredTopicFeature +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.offline_aggregates.PassThroughAdapter +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.offline_aggregates.SparseAggregatesToDenseAdapter +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.MentionUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateType +import com.twitter.timelines.prediction.common.aggregates.TimelinesAggregationConfig +import com.twitter.timelines.prediction.common.aggregates.TimelinesAggregationConfig.CombineCountPolicies + +object EdgeAggregateFeatures { + + object UserAuthorAggregateFeature + extends BaseEdgeAggregateFeature( + aggregateGroups = TimelinesAggregationConfig.userAuthorAggregatesV2 ++ Set( + TimelinesAggregationConfig.userAuthorAggregatesV5, + TimelinesAggregationConfig.tweetSourceUserAuthorAggregatesV1, + TimelinesAggregationConfig.twitterWideUserAuthorAggregates + ), + aggregateType = AggregateType.UserAuthor, + extractMapFn = _.userAuthorAggregates, + adapter = PassThroughAdapter, + getSecondaryKeysFn = _.features.getOrElse(AuthorIdFeature, None).toSeq + ) + + object UserOriginalAuthorAggregateFeature + extends BaseEdgeAggregateFeature( + aggregateGroups = Set( + TimelinesAggregationConfig.userOriginalAuthorReciprocalEngagementAggregates), + aggregateType = AggregateType.UserOriginalAuthor, + extractMapFn = _.userOriginalAuthorAggregates, + adapter = PassThroughAdapter, + getSecondaryKeysFn = candidate => + CandidatesUtil.getOriginalAuthorId(candidate.features).toSeq + ) + + object UserTopicAggregateFeature + extends BaseEdgeAggregateFeature( + aggregateGroups = Set( + TimelinesAggregationConfig.userTopicAggregates, + TimelinesAggregationConfig.userTopicAggregatesV2, + ), + aggregateType = AggregateType.UserTopic, + extractMapFn = _.userTopicAggregates, + adapter = PassThroughAdapter, + getSecondaryKeysFn = candidate => + candidate.features.getOrElse(TopicIdSocialContextFeature, None).toSeq + ) + + object UserMentionAggregateFeature + extends BaseEdgeAggregateFeature( + aggregateGroups = Set(TimelinesAggregationConfig.userMentionAggregates), + aggregateType = AggregateType.UserMention, + extractMapFn = _.userMentionAggregates, + adapter = new SparseAggregatesToDenseAdapter(CombineCountPolicies.MentionCountsPolicy), + getSecondaryKeysFn = candidate => + candidate.features.getOrElse(MentionUserIdFeature, Seq.empty) + ) + + object UserInferredTopicAggregateFeature + extends BaseEdgeAggregateFeature( + aggregateGroups = Set( + TimelinesAggregationConfig.userInferredTopicAggregates, + TimelinesAggregationConfig.userInferredTopicAggregatesV2 + ), + aggregateType = AggregateType.UserInferredTopic, + extractMapFn = _.userInferredTopicAggregates, + adapter = new SparseAggregatesToDenseAdapter( + CombineCountPolicies.UserInferredTopicV2CountsPolicy), + getSecondaryKeysFn = candidate => + candidate.features.getOrElse(TSPInferredTopicFeature, Map.empty[Long, Double]).keys.toSeq + ) + + object UserMediaUnderstandingAnnotationAggregateFeature + extends BaseEdgeAggregateFeature( + aggregateGroups = Set( + TimelinesAggregationConfig.userMediaUnderstandingAnnotationAggregates), + aggregateType = AggregateType.UserMediaUnderstandingAnnotation, + extractMapFn = _.userMediaUnderstandingAnnotationAggregates, + adapter = new SparseAggregatesToDenseAdapter( + CombineCountPolicies.UserMediaUnderstandingAnnotationCountsPolicy), + getSecondaryKeysFn = candidate => + CandidatesUtil.getMediaUnderstandingAnnotationIds(candidate.features) + ) + + object UserEngagerAggregateFeature + extends BaseEdgeAggregateFeature( + aggregateGroups = Set(TimelinesAggregationConfig.userEngagerAggregates), + aggregateType = AggregateType.UserEngager, + extractMapFn = _.userEngagerAggregates, + adapter = new SparseAggregatesToDenseAdapter(CombineCountPolicies.EngagerCountsPolicy), + getSecondaryKeysFn = candidate => CandidatesUtil.getEngagerUserIds(candidate.features) + ) + + object UserEngagerGoodClickAggregateFeature + extends BaseEdgeAggregateFeature( + aggregateGroups = Set(TimelinesAggregationConfig.userEngagerGoodClickAggregates), + aggregateType = AggregateType.UserEngager, + extractMapFn = _.userEngagerAggregates, + adapter = new SparseAggregatesToDenseAdapter( + CombineCountPolicies.EngagerGoodClickCountsPolicy), + getSecondaryKeysFn = candidate => CandidatesUtil.getEngagerUserIds(candidate.features) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/PartAAggregateQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/PartAAggregateQueryFeatureHydrator.scala new file mode 100644 index 000000000..aa75e2c05 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/PartAAggregateQueryFeatureHydrator.scala @@ -0,0 +1,35 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TimelineAggregateMetadataRepository +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TimelineAggregatePartARepository +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.servo.repository.Repository +import com.twitter.timelines.data_processing.jobs.timeline_ranking_user_features.TimelinesPartAStoreRegister +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.StoreConfig +import com.twitter.timelines.suggests.common.dense_data_record.thriftscala.DenseFeatureMetadata +import com.twitter.user_session_store.thriftjava.UserSession +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +object PartAAggregateRootFeature extends BaseAggregateRootFeature { + override val aggregateStores: Set[StoreConfig[_]] = TimelinesPartAStoreRegister.allStores +} + +@Singleton +class PartAAggregateQueryFeatureHydrator @Inject() ( + @Named(TimelineAggregatePartARepository) + repository: Repository[Long, Option[UserSession]], + @Named(TimelineAggregateMetadataRepository) + metadataRepository: Repository[Int, Option[DenseFeatureMetadata]]) + extends BaseAggregateQueryFeatureHydrator( + repository, + metadataRepository, + PartAAggregateRootFeature + ) { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("PartAAggregateQuery") + + override val features = Set(PartAAggregateRootFeature) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/PartBAggregateQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/PartBAggregateQueryFeatureHydrator.scala new file mode 100644 index 000000000..4a00c7ca4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/PartBAggregateQueryFeatureHydrator.scala @@ -0,0 +1,144 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TimelineAggregateMetadataRepository +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TimelineAggregatePartBRepository +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.DataRecordMerger +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.repository.Repository +import com.twitter.stitch.Stitch +import com.twitter.timelines.data_processing.jobs.timeline_ranking_user_features.TimelinesPartBStoreRegister +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateType +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.StoreConfig +import com.twitter.timelines.prediction.adapters.request_context.RequestContextAdapter +import com.twitter.timelines.prediction.common.aggregates.TimelinesAggregationConfig +import com.twitter.timelines.suggests.common.dense_data_record.thriftscala.DenseFeatureMetadata +import com.twitter.user_session_store.thriftjava.UserSession +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton + +object PartBAggregateRootFeature extends BaseAggregateRootFeature { + override val aggregateStores: Set[StoreConfig[_]] = TimelinesPartBStoreRegister.allStores +} + +object UserAggregateFeature + extends DataRecordInAFeature[PipelineQuery] + with FeatureWithDefaultOnFailure[PipelineQuery, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class PartBAggregateQueryFeatureHydrator @Inject() ( + @Named(TimelineAggregatePartBRepository) + repository: Repository[Long, Option[UserSession]], + @Named(TimelineAggregateMetadataRepository) + metadataRepository: Repository[Int, Option[DenseFeatureMetadata]]) + extends BaseAggregateQueryFeatureHydrator( + repository, + metadataRepository, + PartBAggregateRootFeature + ) { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("PartBAggregateQuery") + + override val features: Set[Feature[_, _]] = + Set(PartBAggregateRootFeature, UserAggregateFeature) + + private val userAggregateFeatureInfo = new AggregateFeatureInfo( + aggregateGroups = Set( + TimelinesAggregationConfig.userAggregatesV2, + TimelinesAggregationConfig.userAggregatesV5Continuous, + TimelinesAggregationConfig.userReciprocalEngagementAggregates, + TimelinesAggregationConfig.twitterWideUserAggregates, + ), + aggregateType = AggregateType.User + ) + + private val userHourAggregateFeatureInfo = new AggregateFeatureInfo( + aggregateGroups = Set( + TimelinesAggregationConfig.userRequestHourAggregates, + ), + aggregateType = AggregateType.UserRequestHour + ) + + private val userDowAggregateFeatureInfo = new AggregateFeatureInfo( + aggregateGroups = Set( + TimelinesAggregationConfig.userRequestDowAggregates + ), + aggregateType = AggregateType.UserRequestDow + ) + + require( + userAggregateFeatureInfo.feature == PartBAggregateRootFeature, + "UserAggregates feature must be provided by the PartB data source.") + require( + userHourAggregateFeatureInfo.feature == PartBAggregateRootFeature, + "UserRequstHourAggregates feature must be provided by the PartB data source.") + require( + userDowAggregateFeatureInfo.feature == PartBAggregateRootFeature, + "UserRequestDowAggregates feature must be provided by the PartB data source.") + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + // Hydrate TimelineAggregatePartBFeature and UserAggregateFeature sequentially. + super.hydrate(query).map { featureMap => + val time: Time = Time.now + val hourOfDay = RequestContextAdapter.hourFromTimestamp(time.inMilliseconds) + val dayOfWeek = RequestContextAdapter.dowFromTimestamp(time.inMilliseconds) + + val dr = featureMap + .get(PartBAggregateRootFeature).map { featuresWithMetadata => + val userAggregatesDr = + featuresWithMetadata.userAggregatesOpt + .map(featuresWithMetadata.toDataRecord) + val userRequestHourAggregatesDr = + Option(featuresWithMetadata.userRequestHourAggregates.get(hourOfDay)) + .map(featuresWithMetadata.toDataRecord) + val userRequestDowAggregatesDr = + Option(featuresWithMetadata.userRequestHourAggregates.get(dayOfWeek)) + .map(featuresWithMetadata.toDataRecord) + + dropUnknownFeatures(userAggregatesDr, userAggregateFeatureInfo.featureContext) + + dropUnknownFeatures( + userRequestHourAggregatesDr, + userHourAggregateFeatureInfo.featureContext) + + dropUnknownFeatures( + userRequestDowAggregatesDr, + userDowAggregateFeatureInfo.featureContext) + + mergeDataRecordOpts( + userAggregatesDr, + userRequestHourAggregatesDr, + userRequestDowAggregatesDr) + + }.getOrElse(new DataRecord()) + + featureMap + (UserAggregateFeature, dr) + } + } + + private val drMerger = new DataRecordMerger + private def mergeDataRecordOpts(dataRecordOpts: Option[DataRecord]*): DataRecord = + dataRecordOpts.flatten.foldLeft(new DataRecord) { (l, r) => + drMerger.merge(l, r) + l + } + + private def dropUnknownFeatures( + dataRecordOpt: Option[DataRecord], + featureContext: FeatureContext + ): Unit = + dataRecordOpt.foreach(new RichDataRecord(_, featureContext).dropUnknownFeatures()) + +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Phase1EdgeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Phase1EdgeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..c8c912b63 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Phase1EdgeAggregateFeatureHydrator.scala @@ -0,0 +1,20 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates.EdgeAggregateFeatures._ +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class Phase1EdgeAggregateFeatureHydrator @Inject() extends BaseEdgeAggregateFeatureHydrator { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("Phase1EdgeAggregate") + + override val aggregateFeatures: Set[BaseEdgeAggregateFeature] = + Set( + UserAuthorAggregateFeature, + UserOriginalAuthorAggregateFeature, + UserMentionAggregateFeature + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Phase2EdgeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Phase2EdgeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..fb5c9e2fb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Phase2EdgeAggregateFeatureHydrator.scala @@ -0,0 +1,22 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates.EdgeAggregateFeatures._ +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class Phase2EdgeAggregateFeatureHydrator @Inject() extends BaseEdgeAggregateFeatureHydrator { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("Phase2EdgeAggregate") + + override val aggregateFeatures: Set[BaseEdgeAggregateFeature] = + Set( + UserEngagerAggregateFeature, + UserEngagerGoodClickAggregateFeature, + UserInferredTopicAggregateFeature, + UserTopicAggregateFeature, + UserMediaUnderstandingAnnotationAggregateFeature + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Utils.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Utils.scala new file mode 100644 index 000000000..45d205888 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates/Utils.scala @@ -0,0 +1,36 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates + +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.RichDataRecord +import com.twitter.timelines.suggests.common.dense_data_record.thriftjava.DenseCompactDataRecord + +private[offline_aggregates] object Utils { + + /** + * Selects only those values in map that correspond to the keys in ids and apply the provided + * transform to the selected values. This is a convenience method for use by Timelines Aggregation + * Framework based features. + * + * @param idsToSelect The set of ids to extract values for. + * @param transform A transform to apply to the selected values. + * @param map Map[Long, DenseCompactDataRecord] + */ + def selectAndTransform( + idsToSelect: Seq[Long], + transform: DenseCompactDataRecord => DataRecord, + map: java.util.Map[java.lang.Long, DenseCompactDataRecord], + ): Map[Long, DataRecord] = { + val filtered: Seq[(Long, DataRecord)] = + for { + id <- idsToSelect if map.containsKey(id) + } yield { + id -> transform(map.get(id)) + } + filtered.toMap + } + + def filterDataRecord(dr: DataRecord, featureContext: FeatureContext): Unit = { + new RichDataRecord(dr, featureContext).dropUnknownFeatures() + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BUILD.bazel new file mode 100644 index 000000000..93f042fca --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BUILD.bazel @@ -0,0 +1,25 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "finatra/inject/inject-core/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/datarecord", + "servo/repo/src/main/scala", + "src/java/com/twitter/ml/api:api-base", + "src/java/com/twitter/ml/api/constant", + "src/scala/com/twitter/ml/api/util", + "src/scala/com/twitter/timelines/prediction/common/aggregates/real_time:base-config", + "src/thrift/com/twitter/ml/api:data-java", + "src/thrift/com/twitter/wtf/real_time_interaction_graph:wtf-real_time_interaction_graph-thrift-java", + "stitch/stitch-core", + "timelines/data_processing/ml_util/aggregation_framework:common_types", + "timelines/data_processing/ml_util/aggregation_framework/heron", + "util/util-core", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealTimeAggregateBulkCandidateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealTimeAggregateBulkCandidateFeatureHydrator.scala new file mode 100644 index 000000000..d892a072a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealTimeAggregateBulkCandidateFeatureHydrator.scala @@ -0,0 +1,41 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +trait BaseRealTimeAggregateBulkCandidateFeatureHydrator[K] + extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate] + with BaseRealtimeAggregateHydrator[K] { + + val outputFeature: DataRecordInAFeature[TweetCandidate] + + override def features: Set[Feature[_, _]] = Set(outputFeature) + + override lazy val statScope: String = identifier.toString + + def keysFromQueryAndCandidates( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[K]] + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val possiblyKeys = keysFromQueryAndCandidates(query, candidates) + fetchAndConstructDataRecords(possiblyKeys).map { dataRecords => + dataRecords.map { dataRecord => + FeatureMapBuilder() + .add(outputFeature, dataRecord) + .build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealTimeAggregateQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealTimeAggregateQueryFeatureHydrator.scala new file mode 100644 index 000000000..772e0bb92 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealTimeAggregateQueryFeatureHydrator.scala @@ -0,0 +1,35 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +trait BaseRealTimeAggregateQueryFeatureHydrator[K] + extends QueryFeatureHydrator[PipelineQuery] + with BaseRealtimeAggregateHydrator[K] { + + val outputFeature: DataRecordInAFeature[PipelineQuery] + + override def features: Set[Feature[_, _]] = Set(outputFeature) + + override lazy val statScope: String = identifier.toString + + def keysFromQueryAndCandidates( + query: PipelineQuery + ): Option[K] + + override def hydrate( + query: PipelineQuery + ): Stitch[FeatureMap] = { + val possiblyKeys = keysFromQueryAndCandidates(query) + fetchAndConstructDataRecords(Seq(possiblyKeys)).map { dataRecords => + FeatureMapBuilder() + .add(outputFeature, dataRecords.head) + .build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealtimeAggregateHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealtimeAggregateHydrator.scala new file mode 100644 index 000000000..004312f2f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/BaseRealtimeAggregateHydrator.scala @@ -0,0 +1,154 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates.BaseRealtimeAggregateHydrator._ +import com.twitter.home_mixer.util.ObservedKeyValueResultHandler +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.DataRecordMerger +import com.twitter.ml.api.FeatureContext +import com.twitter.ml.api.util.SRichDataRecord +import com.twitter.ml.api.{Feature => MLApiFeature} +import com.twitter.servo.cache.ReadCache +import com.twitter.servo.keyvalue.KeyValueResult +import com.twitter.stitch.Stitch +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.util.Future +import com.twitter.util.Time +import com.twitter.util.Try +import scala.collection.JavaConverters._ +import java.lang.{Double => JDouble} + +trait BaseRealtimeAggregateHydrator[K] extends ObservedKeyValueResultHandler { + + val client: ReadCache[K, DataRecord] + + val aggregateGroups: Seq[AggregateGroup] + + val aggregateGroupToPrefix: Map[AggregateGroup, String] = Map.empty + + private lazy val typedAggregateGroupsList = aggregateGroups.map(_.buildTypedAggregateGroups()) + + private lazy val featureContexts: Seq[FeatureContext] = typedAggregateGroupsList.map { + typedAggregateGroups => + new FeatureContext(typedAggregateGroups.flatMap(_.allOutputFeatures).asJava) + } + + private lazy val aggregateFeaturesRenameMap: Map[MLApiFeature[_], MLApiFeature[_]] = { + val prefixes: Seq[Option[String]] = aggregateGroups.map(aggregateGroupToPrefix.get) + + typedAggregateGroupsList + .zip(prefixes).map { + case (typedAggregateGroups, prefix) => + if (prefix.nonEmpty) + typedAggregateGroups + .map { + _.outputFeaturesToRenamedOutputFeatures(prefix.get) + }.reduce(_ ++ _) + else + Map.empty[MLApiFeature[_], MLApiFeature[_]] + }.reduce(_ ++ _) + } + + private lazy val renamedFeatureContexts: Seq[FeatureContext] = + typedAggregateGroupsList.map { typedAggregateGroups => + val renamedAllOutputFeatures = typedAggregateGroups.flatMap(_.allOutputFeatures).map { + feature => aggregateFeaturesRenameMap.getOrElse(feature, feature) + } + + new FeatureContext(renamedAllOutputFeatures.asJava) + } + + private lazy val decays: Seq[TimeDecay] = typedAggregateGroupsList.map { typedAggregateGroups => + RealTimeAggregateTimeDecay( + typedAggregateGroups.flatMap(_.continuousFeatureIdsToHalfLives).toMap) + .apply(_, _) + } + + private val drMerger = new DataRecordMerger + + private def postTransformer(dataRecord: Try[Option[DataRecord]]): Try[DataRecord] = { + dataRecord.map { + case Some(dr) => + val newDr = new DataRecord() + featureContexts.zip(renamedFeatureContexts).zip(decays).foreach { + case ((featureContext, renamedFeatureContext), decay) => + val decayedDr = applyDecay(dr, featureContext, decay) + val renamedDr = applyRename( + dataRecord = decayedDr, + featureContext, + renamedFeatureContext, + aggregateFeaturesRenameMap) + drMerger.merge(newDr, renamedDr) + } + newDr + case _ => + new DataRecord + } + } + + def fetchAndConstructDataRecords(possiblyKeys: Seq[Option[K]]): Stitch[Seq[Try[DataRecord]]] = { + Stitch.callFuture { + val keys = possiblyKeys.flatten + + val response: Future[KeyValueResult[K, DataRecord]] = + if (keys.isEmpty) { + Future.value(KeyValueResult.empty) + } else { + client.get(keys) + } + + response.map { result => + possiblyKeys.map { possiblyKey => + val value = observedGet(key = possiblyKey, keyValueResult = result) + postTransformer(value) + } + } + } + } +} + +object BaseRealtimeAggregateHydrator { + type TimeDecay = scala.Function2[com.twitter.ml.api.DataRecord, scala.Long, scala.Unit] + + private def applyDecay( + dataRecord: DataRecord, + featureContext: FeatureContext, + decay: TimeDecay + ): DataRecord = { + def time: Long = Time.now.inMillis + + val richFullDr = new SRichDataRecord(dataRecord, featureContext) + val richNewDr = new SRichDataRecord(new DataRecord, featureContext) + val featureIterator = featureContext.iterator() + featureIterator.forEachRemaining { feature => + if (richFullDr.hasFeature(feature)) { + val typedFeature = feature.asInstanceOf[MLApiFeature[JDouble]] + richNewDr.setFeatureValue(typedFeature, richFullDr.getFeatureValue(typedFeature)) + } + } + val resultDr = richNewDr.getRecord + decay(resultDr, time) + resultDr + } + + private def applyRename( + dataRecord: DataRecord, + featureContext: FeatureContext, + renamedFeatureContext: FeatureContext, + featureRenamingMap: Map[MLApiFeature[_], MLApiFeature[_]] + ): DataRecord = { + val richFullDr = new SRichDataRecord(dataRecord, featureContext) + val richNewDr = new SRichDataRecord(new DataRecord, renamedFeatureContext) + val featureIterator = featureContext.iterator() + featureIterator.forEachRemaining { feature => + if (richFullDr.hasFeature(feature)) { + val renamedFeature = featureRenamingMap.getOrElse(feature, feature) + + val typedFeature = feature.asInstanceOf[MLApiFeature[JDouble]] + val typedRenamedFeature = renamedFeature.asInstanceOf[MLApiFeature[JDouble]] + + richNewDr.setFeatureValue(typedRenamedFeature, richFullDr.getFeatureValue(typedFeature)) + } + } + richNewDr.getRecord + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/EngagementsReceivedByAuthorRealTimeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/EngagementsReceivedByAuthorRealTimeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..57463dd79 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/EngagementsReceivedByAuthorRealTimeAggregateFeatureHydrator.scala @@ -0,0 +1,52 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.EngagementsReceivedByAuthorCache +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.prediction.common.aggregates.real_time.TimelinesOnlineAggregationFeaturesOnlyConfig._ +import javax.inject.Inject +import javax.inject.Singleton + +object EngagementsReceivedByAuthorRealTimeAggregateFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class EngagementsReceivedByAuthorRealTimeAggregateFeatureHydrator @Inject() ( + @Named(EngagementsReceivedByAuthorCache) override val client: ReadCache[Long, DataRecord], + override val statsReceiver: StatsReceiver) + extends BaseRealTimeAggregateBulkCandidateFeatureHydrator[Long] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("EngagementsReceivedByAuthorRealTimeAggregate") + + override val outputFeature: DataRecordInAFeature[TweetCandidate] = + EngagementsReceivedByAuthorRealTimeAggregateFeature + + override val aggregateGroups: Seq[AggregateGroup] = Seq( + authorEngagementRealTimeAggregatesProd, + authorShareEngagementsRealTimeAggregates + ) + + override val aggregateGroupToPrefix: Map[AggregateGroup, String] = Map( + authorShareEngagementsRealTimeAggregates -> "original_author.timelines.author_share_engagements_real_time_aggregates." + ) + + override def keysFromQueryAndCandidates( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[Long]] = + candidates.map(candidate => CandidatesUtil.getOriginalAuthorId(candidate.features)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/RealTimeAggregateTimeDecay.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/RealTimeAggregateTimeDecay.scala new file mode 100644 index 000000000..110a82635 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/RealTimeAggregateTimeDecay.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.constant.SharedFeatures.TIMESTAMP +import com.twitter.util.Duration + +/** + * The default TimeDecay implementation for real time aggregates. + * + * @param featureIdToHalfLife A precomputed map from aggregate feature ids to their half lives. + * @param timestampFeatureId A discrete timestamp feature id. + */ +case class RealTimeAggregateTimeDecay( + featureIdToHalfLife: Map[Long, Duration], + timestampFeatureId: Long = TIMESTAMP.getFeatureId) { + + /** + * Mutates the data record which is just a reference to the input. + * + * @param record Data record to apply decay to (is mutated). + * @param timeNow The current read time (in milliseconds) to decay counts forward to. + */ + def apply(record: DataRecord, timeNow: Long): Unit = { + if (record.isSetDiscreteFeatures) { + val discreteFeatures = record.getDiscreteFeatures + if (discreteFeatures.containsKey(timestampFeatureId)) { + if (record.isSetContinuousFeatures) { + val ctsFeatures = record.getContinuousFeatures + + val storedTimestamp: Long = discreteFeatures.get(timestampFeatureId) + val scaledDt = if (timeNow > storedTimestamp) { + (timeNow - storedTimestamp).toDouble * math.log(2) + } else 0.0 + featureIdToHalfLife.foreach { + case (featureId, halfLife) => + if (ctsFeatures.containsKey(featureId)) { + val storedValue = ctsFeatures.get(featureId) + val alpha = + if (halfLife.inMilliseconds != 0) math.exp(-scaledDt / halfLife.inMilliseconds) + else 0 + val decayedValue: Double = alpha * storedValue + record.putToContinuousFeatures(featureId, decayedValue) + } + } + } + discreteFeatures.remove(timestampFeatureId) + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TopicCountryEngagementRealTimeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TopicCountryEngagementRealTimeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..d8ffad311 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TopicCountryEngagementRealTimeAggregateFeatureHydrator.scala @@ -0,0 +1,64 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TopicCountryEngagementCache +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.prediction.common.aggregates.real_time.TimelinesOnlineAggregationFeaturesOnlyConfig._ +import javax.inject.Inject +import javax.inject.Singleton + +object TopicCountryEngagementRealTimeAggregateFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TopicCountryEngagementRealTimeAggregateFeatureHydrator @Inject() ( + @Named(TopicCountryEngagementCache) override val client: ReadCache[(Long, String), DataRecord], + override val statsReceiver: StatsReceiver) + extends BaseRealTimeAggregateBulkCandidateFeatureHydrator[(Long, String)] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TopicCountryEngagementRealTimeAggregate") + + override val outputFeature: DataRecordInAFeature[TweetCandidate] = + TopicCountryEngagementRealTimeAggregateFeature + + override val aggregateGroups: Seq[AggregateGroup] = Seq( + topicCountryRealTimeAggregates + ) + + override val aggregateGroupToPrefix: Map[AggregateGroup, String] = Map( + topicCountryRealTimeAggregates -> "topic-country_code.timelines.topic_country_engagement_real_time_aggregates." + ) + + override def keysFromQueryAndCandidates( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[(Long, String)]] = { + candidates.map { candidate => + val maybeTopicId = candidate.features + .getTry(TopicIdSocialContextFeature) + .toOption + .flatten + + val maybeCountryCode = query.clientContext.countryCode + + for { + topicId <- maybeTopicId + countryCode <- maybeCountryCode + } yield (topicId, countryCode) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TopicEngagementRealTimeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TopicEngagementRealTimeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..6d71f45b3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TopicEngagementRealTimeAggregateFeatureHydrator.scala @@ -0,0 +1,53 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TopicEngagementCache +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.prediction.common.aggregates.real_time.TimelinesOnlineAggregationFeaturesOnlyConfig._ +import javax.inject.Inject +import javax.inject.Singleton + +object TopicEngagementRealTimeAggregateFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TopicEngagementRealTimeAggregateFeatureHydrator @Inject() ( + @Named(TopicEngagementCache) override val client: ReadCache[Long, DataRecord], + override val statsReceiver: StatsReceiver) + extends BaseRealTimeAggregateBulkCandidateFeatureHydrator[Long] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TopicEngagementRealTimeAggregate") + + override val outputFeature: DataRecordInAFeature[TweetCandidate] = + TopicEngagementRealTimeAggregateFeature + + override val aggregateGroups: Seq[AggregateGroup] = Seq( + topicEngagementRealTimeAggregatesProd + ) + + override def keysFromQueryAndCandidates( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[Long]] = { + candidates.map { candidate => + candidate.features + .getTry(TopicIdSocialContextFeature) + .toOption + .flatten + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TweetCountryEngagementRealTimeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TweetCountryEngagementRealTimeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..4656b1945 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TweetCountryEngagementRealTimeAggregateFeatureHydrator.scala @@ -0,0 +1,55 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TweetCountryEngagementCache +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.prediction.common.aggregates.real_time.TimelinesOnlineAggregationFeaturesOnlyConfig._ +import javax.inject.Inject +import javax.inject.Singleton + +object TweetCountryEngagementRealTimeAggregateFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TweetCountryEngagementRealTimeAggregateFeatureHydrator @Inject() ( + @Named(TweetCountryEngagementCache) override val client: ReadCache[(Long, String), DataRecord], + override val statsReceiver: StatsReceiver) + extends BaseRealTimeAggregateBulkCandidateFeatureHydrator[(Long, String)] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TweetCountryEngagementRealTimeAggregate") + + override val outputFeature: DataRecordInAFeature[TweetCandidate] = + TweetCountryEngagementRealTimeAggregateFeature + + override val aggregateGroups: Seq[AggregateGroup] = Seq( + tweetCountryRealTimeAggregates + ) + + override val aggregateGroupToPrefix: Map[AggregateGroup, String] = Map( + tweetCountryRealTimeAggregates -> "tweet-country_code.timelines.tweet_country_engagement_real_time_aggregates." + ) + + override def keysFromQueryAndCandidates( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[(Long, String)]] = { + val countryCode = query.clientContext.countryCode + candidates.map { candidate => + val tweetId = candidate.candidate.id + countryCode.map((tweetId, _)) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TweetEngagementRealTimeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TweetEngagementRealTimeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..5a607dec2 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TweetEngagementRealTimeAggregateFeatureHydrator.scala @@ -0,0 +1,49 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TweetEngagementCache +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.prediction.common.aggregates.real_time.TimelinesOnlineAggregationFeaturesOnlyConfig._ +import javax.inject.Inject +import javax.inject.Singleton + +object TweetEngagementRealTimeAggregateFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TweetEngagementRealTimeAggregateFeatureHydrator @Inject() ( + @Named(TweetEngagementCache) override val client: ReadCache[Long, DataRecord], + override val statsReceiver: StatsReceiver) + extends BaseRealTimeAggregateBulkCandidateFeatureHydrator[Long] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TweetEngagementRealTimeAggregate") + + override val outputFeature: DataRecordInAFeature[TweetCandidate] = + TweetEngagementRealTimeAggregateFeature + + override val aggregateGroups: Seq[AggregateGroup] = Seq( + tweetEngagement30MinuteCountsProd, + tweetEngagementTotalCountsProd + ) + + override def keysFromQueryAndCandidates( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[Long]] = { + candidates + .map(candidate => Some(candidate.candidate.id)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TwitterListEngagementRealTimeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TwitterListEngagementRealTimeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..e6d7b86f1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/TwitterListEngagementRealTimeAggregateFeatureHydrator.scala @@ -0,0 +1,57 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures.TwitterListIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TwitterListEngagementCache +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.prediction.common.aggregates.real_time.TimelinesOnlineAggregationFeaturesOnlyConfig._ +import javax.inject.Inject +import javax.inject.Singleton + +object TwitterListEngagementRealTimeAggregateFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class TwitterListEngagementRealTimeAggregateFeatureHydrator @Inject() ( + @Named(TwitterListEngagementCache) override val client: ReadCache[Long, DataRecord], + override val statsReceiver: StatsReceiver) + extends BaseRealTimeAggregateBulkCandidateFeatureHydrator[Long] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("TwitterListEngagementRealTimeAggregate") + + override val outputFeature: DataRecordInAFeature[TweetCandidate] = + TwitterListEngagementRealTimeAggregateFeature + + override val aggregateGroups: Seq[AggregateGroup] = Seq( + listEngagementRealTimeAggregatesProd + ) + + override val aggregateGroupToPrefix: Map[AggregateGroup, String] = Map( + listEngagementRealTimeAggregatesProd -> "twitter_list.timelines.twitter_list_engagement_real_time_aggregates." + ) + + override def keysFromQueryAndCandidates( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[Long]] = { + candidates.map { candidate => + candidate.features + .getTry(TwitterListIdFeature) + .toOption + .flatten + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/UserAuthorEngagementRealTimeAggregateFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/UserAuthorEngagementRealTimeAggregateFeatureHydrator.scala new file mode 100644 index 000000000..9671c7bf8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/UserAuthorEngagementRealTimeAggregateFeatureHydrator.scala @@ -0,0 +1,61 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserAuthorEngagementCache +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.prediction.common.aggregates.real_time.TimelinesOnlineAggregationFeaturesOnlyConfig._ +import javax.inject.Inject +import javax.inject.Singleton + +object UserAuthorEngagementRealTimeAggregateFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class UserAuthorEngagementRealTimeAggregateFeatureHydrator @Inject() ( + @Named(UserAuthorEngagementCache) override val client: ReadCache[(Long, Long), DataRecord], + override val statsReceiver: StatsReceiver) + extends BaseRealTimeAggregateBulkCandidateFeatureHydrator[(Long, Long)] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("UserAuthorEngagementRealTimeAggregate") + + override val outputFeature: DataRecordInAFeature[TweetCandidate] = + UserAuthorEngagementRealTimeAggregateFeature + + override val aggregateGroups: Seq[AggregateGroup] = Seq( + userAuthorEngagementRealTimeAggregatesProd, + userAuthorShareEngagementsRealTimeAggregates + ) + + override val aggregateGroupToPrefix: Map[AggregateGroup, String] = Map( + userAuthorEngagementRealTimeAggregatesProd -> "user-author.timelines.user_author_engagement_real_time_aggregates.", + userAuthorShareEngagementsRealTimeAggregates -> "user-author.timelines.user_author_share_engagements_real_time_aggregates." + ) + + override def keysFromQueryAndCandidates( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Seq[Option[(Long, Long)]] = { + val userId = query.getRequiredUserId + candidates.map { candidate => + candidate.features + .getTry(AuthorIdFeature) + .toOption + .flatten + .map((userId, _)) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/UserEngagementRealTimeAggregatesFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/UserEngagementRealTimeAggregatesFeatureHydrator.scala new file mode 100644 index 000000000..7526f75df --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates/UserEngagementRealTimeAggregatesFeatureHydrator.scala @@ -0,0 +1,56 @@ +package com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates + +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserEngagementCache +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.ReadCache +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregateGroup +import com.twitter.timelines.prediction.common.aggregates.real_time.TimelinesOnlineAggregationFeaturesOnlyConfig._ +import javax.inject.Inject +import javax.inject.Singleton + +object UserEngagementRealTimeAggregateFeature + extends DataRecordInAFeature[PipelineQuery] + with FeatureWithDefaultOnFailure[PipelineQuery, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +@Singleton +class UserEngagementRealTimeAggregatesFeatureHydrator @Inject() ( + @Named(UserEngagementCache) override val client: ReadCache[Long, DataRecord], + override val statsReceiver: StatsReceiver) + extends BaseRealTimeAggregateQueryFeatureHydrator[Long] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("UserEngagementRealTimeAggregates") + + override val outputFeature: DataRecordInAFeature[PipelineQuery] = + UserEngagementRealTimeAggregateFeature + + val aggregateGroups: Seq[AggregateGroup] = Seq( + userEngagementRealTimeAggregatesProd, + userShareEngagementsRealTimeAggregates, + userBCEDwellEngagementsRealTimeAggregates, + userEngagement48HourRealTimeAggregatesProd, + userNegativeEngagementAuthorUserState72HourRealTimeAggregates, + userNegativeEngagementAuthorUserStateRealTimeAggregates, + userProfileEngagementRealTimeAggregates, + ) + + override val aggregateGroupToPrefix: Map[AggregateGroup, String] = Map( + userEngagementRealTimeAggregatesProd -> "user.timelines.user_share_engagements_real_time_aggregates.", + userBCEDwellEngagementsRealTimeAggregates -> "user.timelines.user_bce_dwell_engagements_real_time_aggregates.", + userEngagement48HourRealTimeAggregatesProd -> "user.timelines.user_engagement_48_hour_real_time_aggregates.", + userNegativeEngagementAuthorUserState72HourRealTimeAggregates -> "user.timelines.user_negative_engagement_author_user_state_72_hour_real_time_aggregates.", + userProfileEngagementRealTimeAggregates -> "user.timelines.user_profile_engagement_real_time_aggregates." + ) + + override def keysFromQueryAndCandidates(query: PipelineQuery): Option[Long] = { + Some(query.getRequiredUserId) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/BUILD.bazel new file mode 100644 index 000000000..00885f70a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/BUILD.bazel @@ -0,0 +1,26 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/impressed_tweets", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/filter", + "src/thrift/com/twitter/spam/rtf:safety-result-scala", + "src/thrift/com/twitter/timelines/impression:thrift-scala", + "src/thrift/com/twitter/tweetypie:service-scala", + "src/thrift/com/twitter/tweetypie:tweet-scala", + "stitch/stitch-core", + "stitch/stitch-tweetypie", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/persistence", + "timelineservice/common/src/main/scala/com/twitter/timelineservice/model", + ], + exports = [ + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/persistence", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/DropMaxCandidatesFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/DropMaxCandidatesFilter.scala new file mode 100644 index 000000000..94943fc4a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/DropMaxCandidatesFilter.scala @@ -0,0 +1,27 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.FSBoundedParam + +case class DropMaxCandidatesFilter[Candidate <: UniversalNoun[Any]]( + maxCandidatesParam: FSBoundedParam[Int]) + extends Filter[PipelineQuery, Candidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("DropMaxCandidates") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[Candidate]] + ): Stitch[FilterResult[Candidate]] = { + val maxCandidates = query.params(maxCandidatesParam) + val (kept, removed) = candidates.map(_.candidate).splitAt(maxCandidates) + + Stitch.value(FilterResult(kept, removed)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/FeedbackFatigueFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/FeedbackFatigueFilter.scala new file mode 100644 index 000000000..5b6541f51 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/FeedbackFatigueFilter.scala @@ -0,0 +1,89 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FeedbackHistoryFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidFollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidLikedByUserIdsFeature +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.common.thriftscala.FeedbackEntity +import com.twitter.timelineservice.model.FeedbackEntry +import com.twitter.timelineservice.{thriftscala => tls} + +object FeedbackFatigueFilter + extends Filter[PipelineQuery, TweetCandidate] + with Filter.Conditionally[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("FeedbackFatigue") + + override def onlyIf( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Boolean = + query.features.exists(_.getOrElse(FeedbackHistoryFeature, Seq.empty).nonEmpty) + + private val DurationForFiltering = 14.days + + override def apply( + query: pipeline.PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + val feedbackEntriesByEngagementType = + query.features + .getOrElse(FeatureMap.empty).getOrElse(FeedbackHistoryFeature, Seq.empty) + .filter { entry => + val timeSinceFeedback = query.queryTime.minus(entry.timestamp) + timeSinceFeedback < DurationForFiltering && + entry.feedbackType == tls.FeedbackType.SeeFewer + }.groupBy(_.engagementType) + + val authorsToFilter = + getUserIds( + feedbackEntriesByEngagementType.getOrElse(tls.FeedbackEngagementType.Tweet, Seq.empty)) + val likersToFilter = + getUserIds( + feedbackEntriesByEngagementType.getOrElse(tls.FeedbackEngagementType.Like, Seq.empty)) + val followersToFilter = + getUserIds( + feedbackEntriesByEngagementType.getOrElse(tls.FeedbackEngagementType.Follow, Seq.empty)) + val retweetersToFilter = + getUserIds( + feedbackEntriesByEngagementType.getOrElse(tls.FeedbackEngagementType.Retweet, Seq.empty)) + + val (removed, kept) = candidates.partition { candidate => + val originalAuthorId = CandidatesUtil.getOriginalAuthorId(candidate.features) + val authorId = candidate.features.getOrElse(AuthorIdFeature, None) + + val likers = candidate.features.getOrElse(SGSValidLikedByUserIdsFeature, Seq.empty) + val eligibleLikers = likers.filterNot(likersToFilter.contains) + + val followers = candidate.features.getOrElse(SGSValidFollowedByUserIdsFeature, Seq.empty) + val eligibleFollowers = followers.filterNot(followersToFilter.contains) + + originalAuthorId.exists(authorsToFilter.contains) || + (likers.nonEmpty && eligibleLikers.isEmpty) || + (followers.nonEmpty && eligibleFollowers.isEmpty) || + (candidate.features.getOrElse(IsRetweetFeature, false) && + authorId.exists(retweetersToFilter.contains)) + } + + Stitch.value(FilterResult(kept = kept.map(_.candidate), removed = removed.map(_.candidate))) + } + + private def getUserIds( + feedbackEntries: Seq[FeedbackEntry], + ): Set[Long] = + feedbackEntries.collect { + case FeedbackEntry(_, _, FeedbackEntity.UserId(userId), _, _) => userId + }.toSet +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/InvalidConversationModuleFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/InvalidConversationModuleFilter.scala new file mode 100644 index 000000000..0d3f1ca1f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/InvalidConversationModuleFilter.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleFocalTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * Exclude conversation modules where Tweets have been dropped by other filters + * + * Largest conversation modules have 3 Tweets, so if all 3 are present, module is valid. + * For 2 Tweet modules, check if the head is the root (not a reply) and the last item + * is actually replying to the root directly with no missing intermediate tweets + */ +object InvalidConversationModuleFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("InvalidConversationModule") + + val ValidThreeTweetModuleSize = 3 + val ValidTwoTweetModuleSize = 2 + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + val allowedTweetIds = candidates + .groupBy(_.features.getOrElse(ConversationModuleFocalTweetIdFeature, None)) + .map { case (id, candidates) => (id, candidates.sortBy(_.candidate.id)) } + .filter { + case (Some(_), conversation) if conversation.size == ValidThreeTweetModuleSize => true + case (Some(focalId), conversation) if conversation.size == ValidTwoTweetModuleSize => + conversation.head.features.getOrElse(InReplyToTweetIdFeature, None).isEmpty && + conversation.last.candidate.id == focalId && + conversation.last.features + .getOrElse(InReplyToTweetIdFeature, None) + .contains(conversation.head.candidate.id) + case (None, _) => true + case _ => false + }.values.flatten.toSeq.map(_.candidate.id).toSet + + val (kept, removed) = + candidates.map(_.candidate).partition(candidate => allowedTweetIds.contains(candidate.id)) + Stitch.value(FilterResult(kept = kept, removed = removed)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/KeepBestOutOfNetworkTweetPerAuthorFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/KeepBestOutOfNetworkTweetPerAuthorFilter.scala new file mode 100644 index 000000000..87c324b89 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/KeepBestOutOfNetworkTweetPerAuthorFilter.scala @@ -0,0 +1,36 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +object KeepBestOutOfNetworkTweetPerAuthorFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("KeepBestOutOfNetworkTweetPerAuthor") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + // Set containing best OON tweet for each authorId + val bestCandidatesForAuthorId = candidates + .filter(!_.features.getOrElse(InNetworkFeature, true)) + .groupBy(_.features.getOrElse(AuthorIdFeature, None)) + .values.map(_.maxBy(_.features.getOrElse(ScoreFeature, None))) + .toSet + + val (removed, kept) = candidates.partition { candidate => + !candidate.features.getOrElse(InNetworkFeature, true) && + !bestCandidatesForAuthorId.contains(candidate) + } + + Stitch.value(FilterResult(kept = kept.map(_.candidate), removed = removed.map(_.candidate))) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/OutOfNetworkCompetitorFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/OutOfNetworkCompetitorFilter.scala new file mode 100644 index 000000000..5bbf35185 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/OutOfNetworkCompetitorFilter.scala @@ -0,0 +1,38 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CompetitorSetParam +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +object OutOfNetworkCompetitorFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("OutOfNetworkCompetitor") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + val competitorAuthors = query.params(CompetitorSetParam) + val (removed, kept) = + candidates.partition(isOutOfNetworkTweetFromCompetitor(_, competitorAuthors)) + + Stitch.value(FilterResult(kept = kept.map(_.candidate), removed = removed.map(_.candidate))) + } + + def isOutOfNetworkTweetFromCompetitor( + candidate: CandidateWithFeatures[TweetCandidate], + competitorAuthors: Set[Long] + ): Boolean = { + !candidate.features.getOrElse(InNetworkFeature, true) && + !candidate.features.getOrElse(IsRetweetFeature, false) && + candidate.features.getOrElse(AuthorIdFeature, None).exists(competitorAuthors.contains) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/OutOfNetworkCompetitorURLFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/OutOfNetworkCompetitorURLFilter.scala new file mode 100644 index 000000000..f7163bee3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/OutOfNetworkCompetitorURLFilter.scala @@ -0,0 +1,37 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.TweetUrlsFeature +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CompetitorURLSeqParam +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +object OutOfNetworkCompetitorURLFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("OutOfNetworkCompetitorURL") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + val competitorUrls = query.params(CompetitorURLSeqParam).toSet + val (removed, kept) = candidates.partition(hasOutOfNetworkUrlFromCompetitor(_, competitorUrls)) + + Stitch.value(FilterResult(kept = kept.map(_.candidate), removed = removed.map(_.candidate))) + } + + def hasOutOfNetworkUrlFromCompetitor( + candidate: CandidateWithFeatures[TweetCandidate], + competitorUrls: Set[String] + ): Boolean = { + !candidate.features.getOrElse(InNetworkFeature, true) && + !candidate.features.getOrElse(IsRetweetFeature, false) && + candidate.features.get(TweetUrlsFeature).toSet.intersect(competitorUrls).nonEmpty + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PredicateFeatureFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PredicateFeatureFilter.scala new file mode 100644 index 000000000..ae1fe9f49 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PredicateFeatureFilter.scala @@ -0,0 +1,59 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * Predicate which will be applied to each candidate. True indicates that the candidate will be + * @tparam Candidate - the type of the candidate + */ +trait ShouldKeepCandidate { + def apply(features: FeatureMap): Boolean +} + +object PredicateFeatureFilter { + + /** + * Builds a simple Filter out of a predicate function from the candidate to a boolean. For clarity, + * we recommend including the name of the shouldKeepCandidate parameter. + * + * @param identifier A FilterIdentifier for the new filter + * @param shouldKeepCandidate A predicate function. Candidates will be kept when + * this function returns True. + */ + def fromPredicate[Candidate <: UniversalNoun[Any]]( + identifier: FilterIdentifier, + shouldKeepCandidate: ShouldKeepCandidate + ): Filter[PipelineQuery, Candidate] = { + val i = identifier + + new Filter[PipelineQuery, Candidate] { + override val identifier: FilterIdentifier = i + + /** + * Filter the list of candidates + * + * @return a FilterResult including both the list of kept candidate and the list of removed candidates + */ + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[Candidate]] + ): Stitch[FilterResult[Candidate]] = { + val allowedIds = candidates + .filter(candidate => shouldKeepCandidate(candidate.features)).map(_.candidate.id).toSet + + val (keptCandidates, removedCandidates) = candidates.map(_.candidate).partition { + candidate => allowedIds.contains(candidate.id) + } + + Stitch.value(FilterResult(kept = keptCandidates, removed = removedCandidates)) + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PredicateGatedFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PredicateGatedFilter.scala new file mode 100644 index 000000000..b263a87fc --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PredicateGatedFilter.scala @@ -0,0 +1,47 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.product_mixer.core.functional_component.common.alert.Alert +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.Conditionally +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +trait FilterPredicate[-Query <: PipelineQuery] { + def apply(query: Query): Boolean +} + +/** + * A [[Filter]] with [[Conditionally]] based on a [[FilterPredicate]] + * + * @param predicate the predicate to turn this filter on and off + * @param filter the underlying filter to run when `predicate` is true + * @tparam Query The domain model for the query or request + * @tparam Candidate The type of the candidates + */ +case class PredicateGatedFilter[-Query <: PipelineQuery, Candidate <: UniversalNoun[Any]]( + predicate: FilterPredicate[Query], + filter: Filter[Query, Candidate]) + extends Filter[Query, Candidate] + with Filter.Conditionally[Query, Candidate] { + + override val identifier: FilterIdentifier = FilterIdentifier( + PredicateGatedFilter.IdentifierPrefix + filter.identifier.name) + + override val alerts: Seq[Alert] = filter.alerts + + override def onlyIf(query: Query, candidates: Seq[CandidateWithFeatures[Candidate]]): Boolean = + Conditionally.and(Filter.Input(query, candidates), filter, predicate(query)) + + override def apply( + query: Query, + candidates: Seq[CandidateWithFeatures[Candidate]] + ): Stitch[FilterResult[Candidate]] = filter.apply(query, candidates) +} + +object PredicateGatedFilter { + val IdentifierPrefix = "PredicateGated" +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslySeenTweetsFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslySeenTweetsFilter.scala new file mode 100644 index 000000000..047233a41 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslySeenTweetsFilter.scala @@ -0,0 +1,37 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.home_mixer.util.TweetImpressionsHelper +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * Filter out users' previously seen tweets from 2 sources: + * 1. Heron Topology Impression Store in Memcache; + * 2. Manhattan Impression Store; + */ +object PreviouslySeenTweetsFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("PreviouslySeenTweets") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + + val seenTweetIds = + query.features.map(TweetImpressionsHelper.tweetImpressions).getOrElse(Set.empty) + + val (removed, kept) = candidates.partition { candidate => + val tweetIdAndSourceId = CandidatesUtil.getTweetIdAndSourceId(candidate) + tweetIdAndSourceId.exists(seenTweetIds.contains) + } + + Stitch.value(FilterResult(kept = kept.map(_.candidate), removed = removed.map(_.candidate))) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslyServedAncestorsFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslyServedAncestorsFilter.scala new file mode 100644 index 000000000..42b0ad51a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslyServedAncestorsFilter.scala @@ -0,0 +1,44 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.common_internal.analytics.twitter_client_user_agent_parser.UserAgent +import com.twitter.home_mixer.model.HomeFeatures.IsAncestorCandidateFeature +import com.twitter.home_mixer.model.HomeFeatures.PersistenceEntriesFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelinemixer.injection.store.persistence.TimelinePersistenceUtils +import com.twitter.timelines.util.client_info.ClientPlatform + +object PreviouslyServedAncestorsFilter + extends Filter[PipelineQuery, TweetCandidate] + with TimelinePersistenceUtils { + + override val identifier: FilterIdentifier = FilterIdentifier("PreviouslyServedAncestors") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + val clientPlatform = ClientPlatform.fromQueryOptions( + clientAppId = query.clientContext.appId, + userAgent = query.clientContext.userAgent.flatMap(UserAgent.fromString)) + val entries = + query.features.map(_.getOrElse(PersistenceEntriesFeature, Seq.empty)).toSeq.flatten + val tweetIds = applicableResponses(clientPlatform, entries) + .flatMap(_.entries.flatMap(_.tweetIds(includeSourceTweets = true))).toSet + val ancestorIds = + candidates + .filter(_.features.getOrElse(IsAncestorCandidateFeature, false)).map(_.candidate.id).toSet + + val (removed, kept) = + candidates + .map(_.candidate).partition(candidate => + tweetIds.contains(candidate.id) && ancestorIds.contains(candidate.id)) + + Stitch.value(FilterResult(kept = kept, removed = removed)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslyServedTweetsFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslyServedTweetsFilter.scala new file mode 100644 index 000000000..56b6a1c0b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/PreviouslyServedTweetsFilter.scala @@ -0,0 +1,42 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.model.HomeFeatures.GetOlderFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedTweetIdsFeature +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +object PreviouslyServedTweetsFilter + extends Filter[PipelineQuery, TweetCandidate] + with Filter.Conditionally[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("PreviouslyServedTweets") + + override def onlyIf( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Boolean = { + query.features.exists(_.getOrElse(GetOlderFeature, false)) + } + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + + val servedTweetIds = + query.features.map(_.getOrElse(ServedTweetIdsFeature, Seq.empty)).toSeq.flatten.toSet + + val (removed, kept) = candidates.partition { candidate => + val tweetIdAndSourceId = CandidatesUtil.getTweetIdAndSourceId(candidate) + tweetIdAndSourceId.exists(servedTweetIds.contains) + } + + Stitch.value(FilterResult(kept = kept.map(_.candidate), removed = removed.map(_.candidate))) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RejectTweetFromViewerFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RejectTweetFromViewerFilter.scala new file mode 100644 index 000000000..c25d9ec2b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RejectTweetFromViewerFilter.scala @@ -0,0 +1,24 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +object RejectTweetFromViewerFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("RejectTweetFromViewer") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + val (removed, kept) = candidates.partition(candidate => + CandidatesUtil.isAuthoredByViewer(query, candidate.features)) + Stitch.value(FilterResult(kept = kept.map(_.candidate), removed = removed.map(_.candidate))) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RetweetDeduplicationFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RetweetDeduplicationFilter.scala new file mode 100644 index 000000000..1e1f7f03a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RetweetDeduplicationFilter.scala @@ -0,0 +1,45 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import scala.collection.mutable + +object RetweetDeduplicationFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("RetweetDeduplication") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + // If there are 2 retweets of the same native tweet, we will choose the first one + // The tweets are returned in descending score order, so we will choose the higher scored tweet + val dedupedTweetIdsSet = + candidates.partition(_.features.getOrElse(IsRetweetFeature, false)) match { + case (retweets, nativeTweets) => + val nativeTweetIds = nativeTweets.map(_.candidate.id) + val seenTweetIds = mutable.Set[Long]() ++ nativeTweetIds + val dedupedRetweets = retweets.filter { retweet => + val tweetIdAndSourceId = CandidatesUtil.getTweetIdAndSourceId(retweet) + val retweetIsUnique = tweetIdAndSourceId.forall(!seenTweetIds.contains(_)) + if (retweetIsUnique) { + seenTweetIds ++= tweetIdAndSourceId + } + retweetIsUnique + } + (nativeTweets ++ dedupedRetweets).map(_.candidate.id).toSet + } + + val (kept, removed) = + candidates + .map(_.candidate).partition(candidate => dedupedTweetIdsSet.contains(candidate.id)) + Stitch.value(FilterResult(kept = kept, removed = removed)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RetweetSourceTweetRemovingFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RetweetSourceTweetRemovingFilter.scala new file mode 100644 index 000000000..6dc88f02c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/RetweetSourceTweetRemovingFilter.scala @@ -0,0 +1,40 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.model.HomeFeatures.EarlybirdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.util.ReplyRetweetUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * This filter removes source tweets of retweets, added via second EB call in TLR + */ +object RetweetSourceTweetRemovingFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("RetweetSourceTweetRemoving") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + val (kept, removed) = + candidates.partition( + _.features.getOrElse(EarlybirdFeature, None).exists(_.isSourceTweet)) match { + case (sourceTweets, nonSourceTweets) => + val inReplyToTweetIds: Set[Long] = + nonSourceTweets + .filter(ReplyRetweetUtil.isEligibleReply(_)).flatMap( + _.features.getOrElse(InReplyToTweetIdFeature, None)).toSet + val (keptSourceTweets, removedSourceTweets) = sourceTweets + .map(_.candidate) + .partition(candidate => inReplyToTweetIds.contains(candidate.id)) + (nonSourceTweets.map(_.candidate) ++ keptSourceTweets, removedSourceTweets) + } + Stitch.value(FilterResult(kept = kept, removed = removed)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/SocialContextFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/SocialContextFilter.scala new file mode 100644 index 000000000..5002137c4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter/SocialContextFilter.scala @@ -0,0 +1,57 @@ +package com.twitter.home_mixer.functional_component.filter + +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleFocalTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.PerspectiveFilteredLikedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidFollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidLikedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicContextFunctionalityTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +object SocialContextFilter extends Filter[PipelineQuery, TweetCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("SocialContext") + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[FilterResult[TweetCandidate]] = { + val validTweetIds = candidates + .filter { candidate => + candidate.features.getOrElse(InNetworkFeature, true) || + hasLikedBySocialContext(candidate.features) || + hasFollowedBySocialContext(candidate.features) || + hasTopicSocialContext(candidate.features) || + candidate.features.getOrElse(ConversationModuleFocalTweetIdFeature, None).isDefined + }.map(_.candidate.id).toSet + + val (kept, removed) = + candidates.map(_.candidate).partition(candidate => validTweetIds.contains(candidate.id)) + + Stitch.value(FilterResult(kept = kept, removed = removed)) + } + + private def hasLikedBySocialContext(candidateFeatures: FeatureMap): Boolean = + candidateFeatures + .getOrElse(SGSValidLikedByUserIdsFeature, Seq.empty) + .exists( + candidateFeatures + .getOrElse(PerspectiveFilteredLikedByUserIdsFeature, Seq.empty) + .toSet.contains + ) + + private def hasFollowedBySocialContext(candidateFeatures: FeatureMap): Boolean = + candidateFeatures.getOrElse(SGSValidFollowedByUserIdsFeature, Seq.empty).nonEmpty + + private def hasTopicSocialContext(candidateFeatures: FeatureMap): Boolean = + candidateFeatures.getOrElse(TopicIdSocialContextFeature, None).isDefined && + candidateFeatures.getOrElse(TopicContextFunctionalityTypeFeature, None).isDefined +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/BUILD.bazel new file mode 100644 index 000000000..d3b77dda8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/BUILD.bazel @@ -0,0 +1,21 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/common", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/gate", + "src/thrift/com/twitter/gizmoduck:thrift-scala", + "stitch/stitch-socialgraph", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/manhattan", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/persistence", + "timelineservice/common/src/main/scala/com/twitter/timelineservice/model", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/DismissFatigueGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/DismissFatigueGate.scala new file mode 100644 index 000000000..c97a3931e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/DismissFatigueGate.scala @@ -0,0 +1,48 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelinemixer.clients.manhattan.DismissInfo +import com.twitter.stitch.Stitch +import com.twitter.util.Duration +import com.twitter.conversions.DurationOps._ +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.timelineservice.suggests.thriftscala.SuggestType + +object DismissFatigueGate { + // how long a dismiss action from user needs to be respected + val DefaultBaseDismissDuration = 7.days + val MaximumDismissalCountMultiplier = 4 +} + +case class DismissFatigueGate( + suggestType: SuggestType, + dismissInfoFeature: Feature[PipelineQuery, Map[SuggestType, Option[DismissInfo]]], + baseDismissDuration: Duration = DismissFatigueGate.DefaultBaseDismissDuration, +) extends Gate[PipelineQuery] { + + override val identifier: GateIdentifier = GateIdentifier("DismissFatigue") + + override def shouldContinue(query: PipelineQuery): Stitch[Boolean] = { + val dismissInfoMap = query.features.map( + _.getOrElse(dismissInfoFeature, Map.empty[SuggestType, Option[DismissInfo]])) + + val isVisible = dismissInfoMap + .flatMap(_.get(suggestType)) + .flatMap(_.map { info => + val currentDismissalDuration = query.queryTime.since(info.lastDismissed) + val targetDismissalDuration = dismissDurationForCount(info.count, baseDismissDuration) + + currentDismissalDuration > targetDismissalDuration + }).getOrElse(true) + Stitch.value(isVisible) + } + + private def dismissDurationForCount( + dismissCount: Int, + dismissDuration: Duration + ): Duration = + // limit to maximum dismissal duration + dismissDuration * Math.min(dismissCount, DismissFatigueGate.MaximumDismissalCountMultiplier) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/ExcludeSoftUserGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/ExcludeSoftUserGate.scala new file mode 100644 index 000000000..a86159036 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/ExcludeSoftUserGate.scala @@ -0,0 +1,23 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.gizmoduck.{thriftscala => t} +import com.twitter.home_mixer.model.HomeFeatures.UserTypeFeature +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * A Soft User is a user who is in the gradual onboarding state. This gate can be + * used to turn off certain functionality like ads for these users. + */ +object ExcludeSoftUserGate extends Gate[PipelineQuery] { + + override val identifier: GateIdentifier = GateIdentifier("ExcludeSoftUser") + + override def shouldContinue(query: PipelineQuery): Stitch[Boolean] = { + val softUser = query.features + .exists(_.getOrElse(UserTypeFeature, None).exists(_ == t.UserType.Soft)) + Stitch.value(!softUser) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/MinCachedTweetsGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/MinCachedTweetsGate.scala new file mode 100644 index 000000000..a160a5b5d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/MinCachedTweetsGate.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.home_mixer.functional_component.gate.MinCachedTweetsGate.identifierSuffix +import com.twitter.home_mixer.util.CachedScoredTweetsHelper +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.Param + +case class MinCachedTweetsGate( + candidatePipelineIdentifier: CandidatePipelineIdentifier, + minCachedTweetsParam: Param[Int]) + extends Gate[PipelineQuery] { + + override val identifier: GateIdentifier = + GateIdentifier(candidatePipelineIdentifier + identifierSuffix) + + override def shouldContinue(query: PipelineQuery): Stitch[Boolean] = { + val minCachedTweets = query.params(minCachedTweetsParam) + val cachedScoredTweets = + query.features.map(CachedScoredTweetsHelper.unseenCachedScoredTweets).getOrElse(Seq.empty) + val numCachedTweets = cachedScoredTweets.count { tweet => + tweet.candidatePipelineIdentifier.exists( + CandidatePipelineIdentifier(_).equals(candidatePipelineIdentifier)) + } + Stitch.value(numCachedTweets < minCachedTweets) + } +} + +object MinCachedTweetsGate { + val identifierSuffix = "MinCachedTweets" +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/NonEmptySeqFeatureGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/NonEmptySeqFeatureGate.scala new file mode 100644 index 000000000..ef3bc5cff --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/NonEmptySeqFeatureGate.scala @@ -0,0 +1,18 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import scala.reflect.runtime.universe._ + +case class NonEmptySeqFeatureGate[T: TypeTag]( + feature: Feature[PipelineQuery, Seq[T]]) + extends Gate[PipelineQuery] { + + override val identifier: GateIdentifier = GateIdentifier(s"NonEmptySeq$feature") + + override def shouldContinue(query: PipelineQuery): Stitch[Boolean] = + Stitch.value(query.features.exists(_.get(feature).nonEmpty)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/RequestContextGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/RequestContextGate.scala new file mode 100644 index 000000000..0ffe6793e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/RequestContextGate.scala @@ -0,0 +1,22 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.home_mixer.model.request.DeviceContext.RequestContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * Gate that fetches the request context from the device context and + * continues if the request context matches *any* of the specified ones. + */ +case class RequestContextGate(requestContexts: Seq[RequestContext.Value]) + extends Gate[PipelineQuery with HasDeviceContext] { + + override val identifier: GateIdentifier = GateIdentifier("RequestContext") + + override def shouldContinue(query: PipelineQuery with HasDeviceContext): Stitch[Boolean] = + Stitch.value( + requestContexts.exists(query.deviceContext.flatMap(_.requestContextValue).contains)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/RequestContextNotGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/RequestContextNotGate.scala new file mode 100644 index 000000000..c52f05f75 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/RequestContextNotGate.scala @@ -0,0 +1,24 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.home_mixer.model.request.DeviceContext.RequestContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * Gate that fetches the request context from the device context and + * continues if the request context does not match any of the specified ones. + * + * If no input request context is specified, the gate continues + */ +case class RequestContextNotGate(requestContexts: Seq[RequestContext.Value]) + extends Gate[PipelineQuery with HasDeviceContext] { + + override val identifier: GateIdentifier = GateIdentifier("RequestContextNot") + + override def shouldContinue(query: PipelineQuery with HasDeviceContext): Stitch[Boolean] = + Stitch.value( + !requestContexts.exists(query.deviceContext.flatMap(_.requestContextValue).contains)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/SupportedLanguagesGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/SupportedLanguagesGate.scala new file mode 100644 index 000000000..53b681236 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/SupportedLanguagesGate.scala @@ -0,0 +1,68 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +object SupportedLanguagesGate extends Gate[PipelineQuery] { + + override val identifier: GateIdentifier = GateIdentifier("SupportedLanguages") + + // Production languages which have high translation coverage for strings used in Home Timeline. + private val supportedLanguages: Set[String] = Set( + "ar", // Arabic + "ar-x-fm", // Arabic (Female) + "bg", // Bulgarian + "bn", // Bengali + "ca", // Catalan + "cs", // Czech + "da", // Danish + "de", // German + "el", // Greek + "en", // English + "en-gb", // British English + "en-ss", // English Screen shot + "en-xx", // English Pseudo + "es", // Spanish + "eu", // Basque + "fa", // Farsi (Persian) + "fi", // Finnish + "fil", // Filipino + "fr", // French + "ga", // Irish + "gl", // Galician + "gu", // Gujarati + "he", // Hebrew + "hi", // Hindi + "hr", // Croatian + "hu", // Hungarian + "id", // Indonesian + "it", // Italian + "ja", // Japanese + "kn", // Kannada + "ko", // Korean + "mr", // Marathi + "msa", // Malay + "nl", // Dutch + "no", // Norwegian + "pl", // Polish + "pt", // Portuguese + "ro", // Romanian + "ru", // Russian + "sk", // Slovak + "sr", // Serbian + "sv", // Swedish + "ta", // Tamil + "th", // Thai + "tr", // Turkish + "uk", // Ukrainian + "ur", // Urdu + "vi", // Vietnamese + "zh-cn", // Simplified Chinese + "zh-tw" // Traditional Chinese + ) + + override def shouldContinue(query: PipelineQuery): Stitch[Boolean] = + Stitch.value(query.getLanguageCode.forall(supportedLanguages.contains)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/TimelinesPersistenceStoreLastInjectionGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/TimelinesPersistenceStoreLastInjectionGate.scala new file mode 100644 index 000000000..31fff2306 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/TimelinesPersistenceStoreLastInjectionGate.scala @@ -0,0 +1,51 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.common_internal.analytics.twitter_client_user_agent_parser.UserAgent +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelinemixer.clients.persistence.TimelineResponseV3 +import com.twitter.timelinemixer.injection.store.persistence.TimelinePersistenceUtils +import com.twitter.timelines.configapi.Param +import com.twitter.timelines.util.client_info.ClientPlatform +import com.twitter.timelineservice.model.rich.EntityIdType +import com.twitter.util.Duration +import com.twitter.util.Time + +/** + * Gate used to reduce the frequency of injections. Note that the actual interval between injections may be + * less than the specified minInjectionIntervalParam if data is unavailable or missing. For example, being deleted by + * the persistence store via a TTL or similar mechanism. + * + * @param minInjectionIntervalParam the desired minimum interval between injections + * @param persistenceEntriesFeature the feature for retrieving persisted timeline responses + */ +case class TimelinesPersistenceStoreLastInjectionGate( + minInjectionIntervalParam: Param[Duration], + persistenceEntriesFeature: Feature[PipelineQuery, Seq[TimelineResponseV3]], + entityIdType: EntityIdType.Value) + extends Gate[PipelineQuery] + with TimelinePersistenceUtils { + + override val identifier: GateIdentifier = GateIdentifier("TimelinesPersistenceStoreLastInjection") + + override def shouldContinue(query: PipelineQuery): Stitch[Boolean] = + Stitch( + query.queryTime.since(getLastInjectionTime(query)) > query.params(minInjectionIntervalParam)) + + private def getLastInjectionTime(query: PipelineQuery) = query.features + .flatMap { featureMap => + val timelineResponses = featureMap.getOrElse(persistenceEntriesFeature, Seq.empty) + val clientPlatform = ClientPlatform.fromQueryOptions( + clientAppId = query.clientContext.appId, + userAgent = query.clientContext.userAgent.flatMap(UserAgent.fromString) + ) + val sortedResponses = responseByClient(clientPlatform, timelineResponses) + val latestResponseWithEntityIdTypeEntry = + sortedResponses.find(_.entries.exists(_.entityIdType == entityIdType)) + + latestResponseWithEntityIdTypeEntry.map(_.servedTime) + }.getOrElse(Time.Bottom) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/ViewerIsListOwnerGate.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/ViewerIsListOwnerGate.scala new file mode 100644 index 000000000..487487e92 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate/ViewerIsListOwnerGate.scala @@ -0,0 +1,29 @@ +package com.twitter.home_mixer.functional_component.gate + +import com.twitter.home_mixer.model.request.HasListId +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.model.common.identifier.GateIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.socialgraph.{thriftscala => sg} +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.SocialGraph + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class ViewerIsListOwnerGate @Inject() (socialGraph: SocialGraph) + extends Gate[PipelineQuery with HasListId] { + + override val identifier: GateIdentifier = GateIdentifier("ViewerIsListOwner") + + private val relationship = sg.Relationship(relationshipType = sg.RelationshipType.ListOwning) + + override def shouldContinue(query: PipelineQuery with HasListId): Stitch[Boolean] = { + val request = sg.ExistsRequest( + source = query.getRequiredUserId, + target = query.listId, + relationships = Seq(relationship)) + socialGraph.exists(request).map(_.exists) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer/BUILD.bazel new file mode 100644 index 000000000..67763235b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer/BUILD.bazel @@ -0,0 +1,13 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "common-internal/analytics/twitter-client-user-agent-parser/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/persistence", + "timelineservice/common:model", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer/EditedTweetsCandidatePipelineQueryTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer/EditedTweetsCandidatePipelineQueryTransformer.scala new file mode 100644 index 000000000..731f7166e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/query_transformer/EditedTweetsCandidatePipelineQueryTransformer.scala @@ -0,0 +1,85 @@ +package com.twitter.home_mixer.functional_component.query_transformer + +import com.twitter.common_internal.analytics.twitter_client_user_agent_parser.UserAgent +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.PersistenceEntriesFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelinemixer.clients.persistence.EntryWithItemIds +import com.twitter.timelines.persistence.thriftscala.RequestType +import com.twitter.timelines.util.client_info.ClientPlatform +import com.twitter.timelineservice.model.rich.EntityIdType +import com.twitter.util.Time + +object EditedTweetsCandidatePipelineQueryTransformer + extends CandidatePipelineQueryTransformer[PipelineQuery, Seq[Long]] { + + override val identifier: TransformerIdentifier = TransformerIdentifier("EditedTweets") + + // The time window for which a tweet remains editable after creation. + private val EditTimeWindow = 30.minutes + + override def transform(query: PipelineQuery): Seq[Long] = { + val applicableCandidates = getApplicableCandidates(query) + + if (applicableCandidates.nonEmpty) { + // Include the response corresponding with the Previous Timeline Load (PTL). + // Any tweets in it could have become stale since being served. + val previousTimelineLoadTime = applicableCandidates.head.servedTime + + // The time window for editing a tweet is 30 minutes, + // so we ignore responses older than (PTL Time - 30 mins). + val inWindowCandidates: Seq[PersistenceStoreEntry] = applicableCandidates + .takeWhile(_.servedTime.until(previousTimelineLoadTime) < EditTimeWindow) + + // Exclude the tweet IDs for which ReplaceEntry instructions have already been sent. + val (tweetsAlreadyReplaced, tweetsToCheck) = inWindowCandidates + .partition(_.entryWithItemIds.itemIds.exists(_.head.entryIdToReplace.nonEmpty)) + + val tweetIdFromEntry: PartialFunction[PersistenceStoreEntry, Long] = { + case entry if entry.tweetId.nonEmpty => entry.tweetId.get + } + + val tweetIdsAlreadyReplaced: Set[Long] = tweetsAlreadyReplaced.collect(tweetIdFromEntry).toSet + val tweetIdsToCheck: Seq[Long] = tweetsToCheck.collect(tweetIdFromEntry) + + tweetIdsToCheck.filterNot(tweetIdsAlreadyReplaced.contains).distinct + } else Seq.empty + } + + // The candidates here come from the Timelines Persistence Store, via a query feature + private def getApplicableCandidates(query: PipelineQuery): Seq[PersistenceStoreEntry] = { + val userAgent = UserAgent.fromString(query.clientContext.userAgent.getOrElse("")) + val clientPlatform = ClientPlatform.fromQueryOptions(query.clientContext.appId, userAgent) + + val sortedResponses = query.features + .getOrElse(FeatureMap.empty) + .getOrElse(PersistenceEntriesFeature, Seq.empty) + .filter(_.clientPlatform == clientPlatform) + .sortBy(-_.servedTime.inMilliseconds) + + val recentResponses = sortedResponses.indexWhere(_.requestType == RequestType.Initial) match { + case -1 => sortedResponses + case lastGetInitialIndex => sortedResponses.take(lastGetInitialIndex + 1) + } + + recentResponses.flatMap { r => + r.entries.collect { + case entry if entry.entityIdType == EntityIdType.Tweet => + PersistenceStoreEntry(entry, r.servedTime, r.clientPlatform, r.requestType) + } + }.distinct + } +} + +case class PersistenceStoreEntry( + entryWithItemIds: EntryWithItemIds, + servedTime: Time, + clientPlatform: ClientPlatform, + requestType: RequestType) { + + // Timelines Persistence Store currently includes 1 tweet ID per entryWithItemIds for tweets + val tweetId: Option[Long] = entryWithItemIds.itemIds.flatMap(_.head.tweetId) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/BUILD.bazel new file mode 100644 index 000000000..94a648e3a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/BUILD.bazel @@ -0,0 +1,17 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "src/thrift/com/twitter/timelines/common:thrift-scala", + "src/thrift/com/twitter/timelineservice/server/internal:thrift-scala", + "timelineservice/common:model", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/FeedbackFatigueScorer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/FeedbackFatigueScorer.scala new file mode 100644 index 000000000..98e7aeb64 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/FeedbackFatigueScorer.scala @@ -0,0 +1,130 @@ +package com.twitter.home_mixer.functional_component.scorer + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FeedbackHistoryFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidFollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.SGSValidLikedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.Conditionally +import com.twitter.product_mixer.core.model.common.identifier.ScorerIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.common.{thriftscala => tl} +import com.twitter.timelineservice.model.FeedbackEntry +import com.twitter.timelineservice.{thriftscala => tls} +import com.twitter.util.Time +import scala.collection.mutable + +object FeedbackFatigueScorer + extends Scorer[PipelineQuery, TweetCandidate] + with Conditionally[PipelineQuery] { + + override val identifier: ScorerIdentifier = ScorerIdentifier("FeedbackFatigue") + + override def features: Set[Feature[_, _]] = Set(ScoreFeature) + + override def onlyIf(query: PipelineQuery): Boolean = + query.features.exists(_.getOrElse(FeedbackHistoryFeature, Seq.empty).nonEmpty) + + private val DurationForFiltering = 14.days + private val DurationForDiscounting = 140.days + private val ScoreMultiplierLowerBound = 0.2 + private val ScoreMultiplierUpperBound = 1.0 + private val ScoreMultiplierIncrementsCount = 4 + private val ScoreMultiplierIncrement = + (ScoreMultiplierUpperBound - ScoreMultiplierLowerBound) / ScoreMultiplierIncrementsCount + private val ScoreMultiplierIncrementDurationInDays = + DurationForDiscounting.inDays / ScoreMultiplierIncrementsCount.toDouble + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val feedbackEntriesByEngagementType = + query.features + .getOrElse(FeatureMap.empty).getOrElse(FeedbackHistoryFeature, Seq.empty) + .filter { entry => + val timeSinceFeedback = query.queryTime.minus(entry.timestamp) + timeSinceFeedback < DurationForFiltering + DurationForDiscounting && + entry.feedbackType == tls.FeedbackType.SeeFewer + }.groupBy(_.engagementType) + + val authorsToDiscount = + getUserDiscounts( + query.queryTime, + feedbackEntriesByEngagementType.getOrElse(tls.FeedbackEngagementType.Tweet, Seq.empty)) + val likersToDiscount = + getUserDiscounts( + query.queryTime, + feedbackEntriesByEngagementType.getOrElse(tls.FeedbackEngagementType.Like, Seq.empty)) + val followersToDiscount = + getUserDiscounts( + query.queryTime, + feedbackEntriesByEngagementType.getOrElse(tls.FeedbackEngagementType.Follow, Seq.empty)) + val retweetersToDiscount = + getUserDiscounts( + query.queryTime, + feedbackEntriesByEngagementType.getOrElse(tls.FeedbackEngagementType.Retweet, Seq.empty)) + + val featureMaps = candidates.map { candidate => + val score = candidate.features.getOrElse(ScoreFeature, None) + + val originalAuthorId = + CandidatesUtil.getOriginalAuthorId(candidate.features).getOrElse(0L) + val originalAuthorMultiplier = authorsToDiscount.getOrElse(originalAuthorId, 1.0) + + val likers = candidate.features.getOrElse(SGSValidLikedByUserIdsFeature, Seq.empty) + val likerMultipliers = likers.flatMap(likersToDiscount.get) + val likerMultiplier = + if (likerMultipliers.nonEmpty && likers.size == likerMultipliers.size) + likerMultipliers.max + else 1.0 + + val followers = candidate.features.getOrElse(SGSValidFollowedByUserIdsFeature, Seq.empty) + val followerMultipliers = followers.flatMap(followersToDiscount.get) + val followerMultiplier = + if (followerMultipliers.nonEmpty && followers.size == followerMultipliers.size) + followerMultipliers.max + else 1.0 + + val authorId = candidate.features.getOrElse(AuthorIdFeature, None).getOrElse(0L) + val retweeterMultiplier = + if (candidate.features.getOrElse(IsRetweetFeature, false)) + retweetersToDiscount.getOrElse(authorId, 1.0) + else 1.0 + + val multiplier = + originalAuthorMultiplier * likerMultiplier * followerMultiplier * retweeterMultiplier + + FeatureMapBuilder().add(ScoreFeature, score.map(_ * multiplier)).build() + } + + Stitch.value(featureMaps) + } + + private def getUserDiscounts( + queryTime: Time, + feedbackEntries: Seq[FeedbackEntry], + ): Map[Long, Double] = { + val userDiscounts = mutable.Map[Long, Double]() + feedbackEntries + .collect { + case FeedbackEntry(_, _, tl.FeedbackEntity.UserId(userId), timestamp, _) => + val timeSinceFeedback = queryTime.minus(timestamp) + val timeSinceDiscounting = timeSinceFeedback - DurationForFiltering + val multiplier = ((timeSinceDiscounting.inDays / ScoreMultiplierIncrementDurationInDays) + * ScoreMultiplierIncrement + ScoreMultiplierLowerBound) + userDiscounts.update(userId, multiplier) + } + userDiscounts.toMap + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/OONTweetScalingScorer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/OONTweetScalingScorer.scala new file mode 100644 index 000000000..4b1cec4a5 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/OONTweetScalingScorer.scala @@ -0,0 +1,48 @@ +package com.twitter.home_mixer.functional_component.scorer + +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.ScorerIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * Scales scores of each out-of-network tweet by the specified scale factor + */ +object OONTweetScalingScorer extends Scorer[PipelineQuery, TweetCandidate] { + + override val identifier: ScorerIdentifier = ScorerIdentifier("OONTweetScaling") + + override val features: Set[Feature[_, _]] = Set(ScoreFeature) + + private val ScaleFactor = 0.75 + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + Stitch.value { + candidates.map { candidate => + val score = candidate.features.getOrElse(ScoreFeature, None) + val updatedScore = if (selector(candidate)) score.map(_ * ScaleFactor) else score + FeatureMapBuilder().add(ScoreFeature, updatedScore).build() + } + } + } + + /** + * We should only be applying this multiplier to Out-Of-Network tweets. + * In-Network Retweets of Out-Of-Network tweets should not have this multiplier applied + */ + private def selector(candidate: CandidateWithFeatures[TweetCandidate]): Boolean = { + !candidate.features.getOrElse(InNetworkFeature, false) && + !candidate.features.getOrElse(IsRetweetFeature, false) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/VerifiedAuthorScalingScorer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/VerifiedAuthorScalingScorer.scala new file mode 100644 index 000000000..3644b7d36 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer/VerifiedAuthorScalingScorer.scala @@ -0,0 +1,61 @@ +package com.twitter.home_mixer.functional_component.scorer + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIsBlueVerifiedFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.param.HomeGlobalParams.BlueVerifiedAuthorInNetworkMultiplierParam +import com.twitter.home_mixer.param.HomeGlobalParams.BlueVerifiedAuthorOutOfNetworkMultiplierParam +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.ScorerIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +/** + * Scales scores of tweets whose author is Blue Verified by the provided scale factor + */ +object VerifiedAuthorScalingScorer extends Scorer[PipelineQuery, TweetCandidate] { + + override val identifier: ScorerIdentifier = ScorerIdentifier("VerifiedAuthorScaling") + + override val features: Set[Feature[_, _]] = Set(ScoreFeature) + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + Stitch.value { + candidates.map { candidate => + val score = candidate.features.getOrElse(ScoreFeature, None) + val updatedScore = getUpdatedScore(score, candidate, query) + FeatureMapBuilder().add(ScoreFeature, updatedScore).build() + } + } + } + + /** + * We should only be applying this multiplier if the author of the candidate is Blue Verified. + * We also treat In-Network vs Out-of-Network differently. + */ + private def getUpdatedScore( + score: Option[Double], + candidate: CandidateWithFeatures[TweetCandidate], + query: PipelineQuery + ): Option[Double] = { + val isAuthorBlueVerified = candidate.features.getOrElse(AuthorIsBlueVerifiedFeature, false) + + if (isAuthorBlueVerified) { + val isCandidateInNetwork = candidate.features.getOrElse(InNetworkFeature, false) + + val scaleFactor = + if (isCandidateInNetwork) query.params(BlueVerifiedAuthorInNetworkMultiplierParam) + else query.params(BlueVerifiedAuthorOutOfNetworkMultiplierParam) + + score.map(_ * scaleFactor) + } else score + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/BUILD.bazel new file mode 100644 index 000000000..0f8ac903b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/BUILD.bazel @@ -0,0 +1,24 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/selector", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "src/scala/com/twitter/suggests/controller_data", + "stringcenter/client", + "stringcenter/client/src/main/java", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/DebunchCandidates.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/DebunchCandidates.scala new file mode 100644 index 000000000..648174273 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/DebunchCandidates.scala @@ -0,0 +1,83 @@ +package com.twitter.home_mixer.functional_component.selector + +import com.twitter.home_mixer.functional_component.selector.DebunchCandidates.TrailingTweetsMinSize +import com.twitter.home_mixer.functional_component.selector.DebunchCandidates.TrailingTweetsPortionToKeep +import com.twitter.home_mixer.model.HomeFeatures.GetNewerFeature +import com.twitter.product_mixer.core.functional_component.common.CandidateScope +import com.twitter.product_mixer.core.functional_component.common.CandidateScope.PartitionedCandidates +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.selector.SelectorResult +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +trait MustDebunch { + def apply(candidate: CandidateWithDetails): Boolean +} + +object DebunchCandidates { + val TrailingTweetsMinSize = 5 + val TrailingTweetsPortionToKeep = 0.1 +} + +/** + * This selector rearranges the candidates to only allow bunches of size [[maxBunchSize]], where a + * bunch is a consecutive sequence of candidates that meet [[mustDebunch]]. + */ +case class DebunchCandidates( + override val pipelineScope: CandidateScope, + mustDebunch: MustDebunch, + maxBunchSize: Int) + extends Selector[PipelineQuery] { + + override def apply( + query: PipelineQuery, + remainingCandidates: Seq[CandidateWithDetails], + result: Seq[CandidateWithDetails] + ): SelectorResult = { + val PartitionedCandidates(selectedCandidates, otherCandidates) = + pipelineScope.partition(remainingCandidates) + val mutableCandidates = collection.mutable.ListBuffer(selectedCandidates: _*) + + var candidatePointer = 0 + var nonDebunchPointer = 0 + var bunchSize = 0 + var finalNonDebunch = -1 + + while (candidatePointer < mutableCandidates.size) { + if (mustDebunch(mutableCandidates(candidatePointer))) bunchSize += 1 + else { + bunchSize = 0 + finalNonDebunch = candidatePointer + } + + if (bunchSize > maxBunchSize) { + nonDebunchPointer = Math.max(candidatePointer, nonDebunchPointer) + while (nonDebunchPointer < mutableCandidates.size && + mustDebunch(mutableCandidates(nonDebunchPointer))) { + nonDebunchPointer += 1 + } + if (nonDebunchPointer == mutableCandidates.size) + candidatePointer = mutableCandidates.size + else { + val nextNonDebunch = mutableCandidates(nonDebunchPointer) + mutableCandidates.remove(nonDebunchPointer) + mutableCandidates.insert(candidatePointer, nextNonDebunch) + bunchSize = 0 + finalNonDebunch = candidatePointer + } + } + + candidatePointer += 1 + } + + val debunchedCandidates = if (query.features.exists(_.getOrElse(GetNewerFeature, false))) { + val trailingTweetsSize = mutableCandidates.size - finalNonDebunch - 1 + val keepCandidates = finalNonDebunch + 1 + + Math.max(TrailingTweetsMinSize, TrailingTweetsPortionToKeep * trailingTweetsSize).toInt + mutableCandidates.toList.take(keepCandidates) + } else mutableCandidates.toList + + val updatedCandidates = otherCandidates ++ debunchedCandidates + SelectorResult(remainingCandidates = updatedCandidates, result = result) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateConversationModuleId.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateConversationModuleId.scala new file mode 100644 index 000000000..bbde0ed0d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateConversationModuleId.scala @@ -0,0 +1,40 @@ +package com.twitter.home_mixer.functional_component.selector + +import com.twitter.product_mixer.component_library.model.presentation.urt.UrtModulePresentation +import com.twitter.product_mixer.core.functional_component.common.CandidateScope +import com.twitter.product_mixer.core.functional_component.common.CandidateScope.PartitionedCandidates +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.selector.SelectorResult +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +/** + * This selector updates the id of the conversation modules to be the head of the module's id. + */ +case class UpdateConversationModuleId( + override val pipelineScope: CandidateScope) + extends Selector[PipelineQuery] { + + override def apply( + query: PipelineQuery, + remainingCandidates: Seq[CandidateWithDetails], + result: Seq[CandidateWithDetails] + ): SelectorResult = { + val PartitionedCandidates(selectedCandidates, otherCandidates) = + pipelineScope.partition(remainingCandidates) + + val updatedCandidates = selectedCandidates.map { + case module @ ModuleCandidateWithDetails(candidates, presentationOpt, _) => + val updatedPresentation = presentationOpt.map { + case urtModule @ UrtModulePresentation(timelineModule) => + urtModule.copy(timelineModule = + timelineModule.copy(id = candidates.head.candidateIdLong)) + } + module.copy(presentation = updatedPresentation) + case candidate => candidate + } + + SelectorResult(remainingCandidates = updatedCandidates ++ otherCandidates, result = result) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateHomeClientEventDetails.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateHomeClientEventDetails.scala new file mode 100644 index 000000000..28968e64d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateHomeClientEventDetails.scala @@ -0,0 +1,137 @@ +package com.twitter.home_mixer.functional_component.selector + +import com.twitter.home_mixer.functional_component.decorator.HomeClientEventDetailsBuilder +import com.twitter.home_mixer.model.HomeFeatures.AncestorsFeature +import com.twitter.home_mixer.model.HomeFeatures.ConversationModule2DisplayedTweetsFeature +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleHasGapFeature +import com.twitter.home_mixer.model.HomeFeatures.HasRandomTweetFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRandomTweetAboveFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRandomTweetFeature +import com.twitter.home_mixer.model.HomeFeatures.PositionFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedInConversationModuleFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedSizeFeature +import com.twitter.product_mixer.component_library.model.presentation.urt.UrtItemPresentation +import com.twitter.product_mixer.component_library.model.presentation.urt.UrtModulePresentation +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.common.CandidateScope +import com.twitter.product_mixer.core.functional_component.common.SpecificPipelines +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.selector.SelectorResult +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +/** + * Builds serialized tweet type metrics controller data and updates Client Event Details + * and Candidate Presentations with this info. + * + * Currently only updates presentation of Item Candidates. This needs to be updated + * when modules are added. + * + * This is implemented as a Selector instead of a Decorator in the Candidate Pipeline + * because we need to add controller data that looks at the final timeline as a whole + * (e.g. served size, final candidate positions). + * + * @param candidatePipelines - only candidates from the specified pipeline will be updated + */ +case class UpdateHomeClientEventDetails(candidatePipelines: Set[CandidatePipelineIdentifier]) + extends Selector[PipelineQuery] { + + override val pipelineScope: CandidateScope = SpecificPipelines(candidatePipelines) + + private val detailsBuilder = HomeClientEventDetailsBuilder() + + override def apply( + query: PipelineQuery, + remainingCandidates: Seq[CandidateWithDetails], + result: Seq[CandidateWithDetails] + ): SelectorResult = { + val selectedCandidates = result.filter(pipelineScope.contains) + + val randomTweetsByPosition = result + .map(_.features.getOrElse(IsRandomTweetFeature, false)) + .zipWithIndex.map(_.swap).toMap + + val resultFeatures = FeatureMapBuilder() + .add(ServedSizeFeature, Some(selectedCandidates.size)) + .add(HasRandomTweetFeature, randomTweetsByPosition.valuesIterator.contains(true)) + .build() + + val updatedResult = result.zipWithIndex.map { + case (item @ ItemCandidateWithDetails(candidate, _, _), position) + if pipelineScope.contains(item) => + val resultCandidateFeatures = FeatureMapBuilder() + .add(PositionFeature, Some(position)) + .add(IsRandomTweetAboveFeature, randomTweetsByPosition.getOrElse(position - 1, false)) + .build() + + updateItemPresentation(query, item, resultFeatures, resultCandidateFeatures) + + case (module @ ModuleCandidateWithDetails(candidates, presentation, features), position) + if pipelineScope.contains(module) => + val resultCandidateFeatures = FeatureMapBuilder() + .add(PositionFeature, Some(position)) + .add(IsRandomTweetAboveFeature, randomTweetsByPosition.getOrElse(position - 1, false)) + .add(ServedInConversationModuleFeature, true) + .add(ConversationModule2DisplayedTweetsFeature, module.candidates.size == 2) + .add( + ConversationModuleHasGapFeature, + module.candidates.last.features.getOrElse(AncestorsFeature, Seq.empty).size > 2) + .build() + + val updatedItemCandidates = + candidates.map(updateItemPresentation(query, _, resultFeatures, resultCandidateFeatures)) + + val updatedCandidateFeatures = features ++ resultFeatures ++ resultCandidateFeatures + + val updatedPresentation = presentation.map { + case urtModule @ UrtModulePresentation(timelineModule) => + val clientEventDetails = + detailsBuilder( + query, + candidates.last.candidate, + query.features.get ++ updatedCandidateFeatures) + val updatedClientEventInfo = + timelineModule.clientEventInfo.map(_.copy(details = clientEventDetails)) + val updatedTimelineModule = + timelineModule.copy(clientEventInfo = updatedClientEventInfo) + urtModule.copy(timelineModule = updatedTimelineModule) + } + + module.copy( + candidates = updatedItemCandidates, + presentation = updatedPresentation, + features = updatedCandidateFeatures + ) + + case (any, position) => any + } + + SelectorResult(remainingCandidates = remainingCandidates, result = updatedResult) + } + + private def updateItemPresentation( + query: PipelineQuery, + item: ItemCandidateWithDetails, + resultCandidateFeatures: FeatureMap, + resultFeatures: FeatureMap, + ): ItemCandidateWithDetails = { + val updatedItemCandidateFeatures = item.features ++ resultFeatures ++ resultCandidateFeatures + + val updatedPresentation = item.presentation.map { + case urtItem @ UrtItemPresentation(timelineItem: TweetItem, _) => + val clientEventDetails = + detailsBuilder(query, item.candidate, query.features.get ++ updatedItemCandidateFeatures) + val updatedClientEventInfo = + timelineItem.clientEventInfo.map(_.copy(details = clientEventDetails)) + val updatedTimelineItem = timelineItem.copy(clientEventInfo = updatedClientEventInfo) + urtItem.copy(timelineItem = updatedTimelineItem) + case any => any + } + item.copy(presentation = updatedPresentation, features = updatedItemCandidateFeatures) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateNewTweetsPillDecoration.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateNewTweetsPillDecoration.scala new file mode 100644 index 000000000..a805ae1a7 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector/UpdateNewTweetsPillDecoration.scala @@ -0,0 +1,80 @@ +package com.twitter.home_mixer.functional_component.selector + +import com.twitter.home_mixer.functional_component.selector.UpdateNewTweetsPillDecoration.NumAvatars +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.param.HomeGlobalParams.EnableNewTweetsPillAvatarsParam +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.ShowAlertCandidate +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.model.presentation.urt.UrtItemPresentation +import com.twitter.product_mixer.core.functional_component.common.CandidateScope +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.selector.SelectorResult +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.ShowAlert +import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichText +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stringcenter.client.StringCenter +import com.twitter.stringcenter.client.core.ExternalString + +object UpdateNewTweetsPillDecoration { + val NumAvatars = 3 +} + +case class UpdateNewTweetsPillDecoration[Query <: PipelineQuery with HasDeviceContext]( + override val pipelineScope: CandidateScope, + stringCenter: StringCenter, + seeNewTweetsString: ExternalString, + tweetedString: ExternalString) + extends Selector[Query] { + + override def apply( + query: Query, + remainingCandidates: Seq[CandidateWithDetails], + result: Seq[CandidateWithDetails] + ): SelectorResult = { + val (alerts, otherCandidates) = + remainingCandidates.partition(candidate => + candidate.isCandidateType[ShowAlertCandidate]() && pipelineScope.contains(candidate)) + val updatedCandidates = alerts + .collectFirst { + case newTweetsPill: ItemCandidateWithDetails => + val userIds = CandidatesUtil + .getItemCandidatesWithOnlyModuleLast(result) + .filter(candidate => + candidate.isCandidateType[TweetCandidate]() && pipelineScope.contains(candidate)) + .filterNot(_.features.getOrElse(IsRetweetFeature, false)) + .flatMap(_.features.getOrElse(AuthorIdFeature, None)) + .filterNot(_ == query.getRequiredUserId) + .distinct + + val updatedPresentation = newTweetsPill.presentation.map { + case presentation: UrtItemPresentation => + presentation.timelineItem match { + case alert: ShowAlert => + val text = if (useAvatars(query, userIds)) tweetedString else seeNewTweetsString + val richText = RichText( + text = stringCenter.prepare(text), + entities = List.empty, + rtl = None, + alignment = None) + + val updatedAlert = + alert.copy(userIds = Some(userIds.take(NumAvatars)), richText = Some(richText)) + presentation.copy(timelineItem = updatedAlert) + } + } + otherCandidates :+ newTweetsPill.copy(presentation = updatedPresentation) + }.getOrElse(remainingCandidates) + + SelectorResult(remainingCandidates = updatedCandidates, result = result) + } + + private def useAvatars(query: Query, userIds: Seq[Long]): Boolean = { + val enableAvatars = query.params(EnableNewTweetsPillAvatarsParam) + enableAvatars && userIds.size >= NumAvatars + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/BUILD.bazel new file mode 100644 index 000000000..c9c0b343c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/BUILD.bazel @@ -0,0 +1,49 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "eventbus/client/src/main/scala/com/twitter/eventbus/client", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "kafka/finagle-kafka/finatra-kafka/src/main/scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "src/scala/com/twitter/timelines/prediction/common/adapters", + "src/scala/com/twitter/timelines/prediction/features/common", + "src/thrift/com/twitter/timelines/impression:thrift-scala", + "src/thrift/com/twitter/timelines/impression_bloom_filter:thrift-scala", + "src/thrift/com/twitter/timelines/impression_store:thrift-scala", + "src/thrift/com/twitter/timelines/served_candidates_logging:served_candidates_logging-scala", + "src/thrift/com/twitter/timelines/suggests/common:poly_data_record-java", + "src/thrift/com/twitter/timelines/timeline_logging:thrift-scala", + "src/thrift/com/twitter/user_session_store:thrift-scala", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/core", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/persistence", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/uss", + "timelines/ml:kafka", + "timelines/ml/cont_train/common/client/src/main/scala/com/twitter/timelines/ml/cont_train/common/client/kafka", + "timelines/ml/cont_train/common/domain/src/main/scala/com/twitter/timelines/ml/cont_train/common/domain/non_scalding", + "timelines/src/main/scala/com/twitter/timelines/clientconfig", + "timelines/src/main/scala/com/twitter/timelines/impressionstore/impressionbloomfilter", + "timelines/src/main/scala/com/twitter/timelines/impressionstore/store", + "timelines/src/main/scala/com/twitter/timelines/injection/scribe", + "timelineservice/common:model", + "user_session_store/src/main/scala/com/twitter/user_session_store", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ClientEventsBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ClientEventsBuilder.scala new file mode 100644 index 000000000..a0233e64e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ClientEventsBuilder.scala @@ -0,0 +1,177 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.functional_component.decorator.HomeQueryTypePredicates +import com.twitter.home_mixer.functional_component.decorator.HomeTweetTypePredicates +import com.twitter.home_mixer.model.HomeFeatures.AccountAgeFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.VideoDurationMsFeature +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.model.request.ListTweetsProduct +import com.twitter.product_mixer.component_library.side_effect.ScribeClientEventSideEffect.ClientEvent +import com.twitter.product_mixer.component_library.side_effect.ScribeClientEventSideEffect.EventNamespace +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.injection.scribe.InjectionScribeUtil + +private[side_effect] sealed trait ClientEventsBuilder { + private val FollowingSection = Some("home_latest") + private val ForYouSection = Some("home") + private val ListTweetsSection = Some("list") + + protected def section(query: PipelineQuery): Option[String] = { + query.product match { + case FollowingProduct => FollowingSection + case ForYouProduct => ForYouSection + case ListTweetsProduct => ListTweetsSection + case other => throw new UnsupportedOperationException(s"Unknown product: $other") + } + } + + protected def count( + candidates: Seq[CandidateWithDetails], + predicate: FeatureMap => Boolean = _ => true, + queryFeatures: FeatureMap = FeatureMap.empty + ): Option[Long] = Some(candidates.view.count(item => predicate(item.features ++ queryFeatures))) + + protected def sum( + candidates: Seq[CandidateWithDetails], + predicate: FeatureMap => Option[Int], + queryFeatures: FeatureMap = FeatureMap.empty + ): Option[Long] = + Some(candidates.view.flatMap(item => predicate(item.features ++ queryFeatures)).sum) +} + +private[side_effect] object ServedEventsBuilder extends ClientEventsBuilder { + + private val ServedTweetsAction = Some("served_tweets") + private val ServedUsersAction = Some("served_users") + private val InjectedComponent = Some("injected") + private val PromotedComponent = Some("promoted") + private val WhoToFollowComponent = Some("who_to_follow") + private val WithVideoDurationComponent = Some("with_video_duration") + private val VideoDurationSumElement = Some("video_duration_sum") + private val NumVideosElement = Some("num_videos") + + def build( + query: PipelineQuery, + injectedTweets: Seq[ItemCandidateWithDetails], + promotedTweets: Seq[ItemCandidateWithDetails], + whoToFollowUsers: Seq[ItemCandidateWithDetails] + ): Seq[ClientEvent] = { + val baseEventNamespace = EventNamespace( + section = section(query), + action = ServedTweetsAction + ) + val overallServedEvents = Seq( + ClientEvent(baseEventNamespace, eventValue = count(injectedTweets ++ promotedTweets)), + ClientEvent( + baseEventNamespace.copy(component = InjectedComponent), + eventValue = count(injectedTweets)), + ClientEvent( + baseEventNamespace.copy(component = PromotedComponent), + eventValue = count(promotedTweets)), + ClientEvent( + baseEventNamespace.copy(component = WhoToFollowComponent, action = ServedUsersAction), + eventValue = count(whoToFollowUsers)), + ) + + val tweetTypeServedEvents = HomeTweetTypePredicates.PredicateMap.map { + case (tweetType, predicate) => + ClientEvent( + baseEventNamespace.copy(component = InjectedComponent, element = Some(tweetType)), + eventValue = count(injectedTweets, predicate, query.features.getOrElse(FeatureMap.empty)) + ) + }.toSeq + + val suggestTypeServedEvents = injectedTweets + .flatMap(_.features.getOrElse(SuggestTypeFeature, None)) + .map { + InjectionScribeUtil.scribeComponent + } + .groupBy(identity).map { + case (suggestType, group) => + ClientEvent( + baseEventNamespace.copy(component = suggestType), + eventValue = Some(group.size.toLong)) + }.toSeq + + // Video duration events + val numVideosEvent = ClientEvent( + baseEventNamespace.copy(component = WithVideoDurationComponent, element = NumVideosElement), + eventValue = count(injectedTweets, _.getOrElse(VideoDurationMsFeature, None).nonEmpty) + ) + val videoDurationSumEvent = ClientEvent( + baseEventNamespace + .copy(component = WithVideoDurationComponent, element = VideoDurationSumElement), + eventValue = sum(injectedTweets, _.getOrElse(VideoDurationMsFeature, None)) + ) + val videoEvents = Seq(numVideosEvent, videoDurationSumEvent) + + overallServedEvents ++ tweetTypeServedEvents ++ suggestTypeServedEvents ++ videoEvents + } +} + +private[side_effect] object EmptyTimelineEventsBuilder extends ClientEventsBuilder { + private val EmptyAction = Some("empty") + private val AccountAgeLessThan30MinutesComponent = Some("account_age_less_than_30_minutes") + private val ServedNonPromotedTweetElement = Some("served_non_promoted_tweet") + + def build( + query: PipelineQuery, + injectedTweets: Seq[ItemCandidateWithDetails] + ): Seq[ClientEvent] = { + val baseEventNamespace = EventNamespace( + section = section(query), + action = EmptyAction + ) + + // Empty timeline events + val accountAgeLessThan30Minutes = query.features + .flatMap(_.getOrElse(AccountAgeFeature, None)) + .exists(_.untilNow < 30.minutes) + val isEmptyTimeline = count(injectedTweets).contains(0L) + val predicates = Seq( + None -> isEmptyTimeline, + AccountAgeLessThan30MinutesComponent -> (isEmptyTimeline && accountAgeLessThan30Minutes) + ) + for { + (component, predicate) <- predicates + if predicate + } yield ClientEvent( + baseEventNamespace.copy(component = component, element = ServedNonPromotedTweetElement)) + } +} + +private[side_effect] object QueryEventsBuilder extends ClientEventsBuilder { + + private val ServedSizePredicateMap: Map[String, Int => Boolean] = Map( + ("size_is_empty", _ <= 0), + ("size_at_most_5", _ <= 5), + ("size_at_most_10", _ <= 10), + ("size_at_most_35", _ <= 35) + ) + + def build( + query: PipelineQuery, + injectedTweets: Seq[ItemCandidateWithDetails] + ): Seq[ClientEvent] = { + val baseEventNamespace = EventNamespace( + section = section(query) + ) + val queryFeatureMap = query.features.getOrElse(FeatureMap.empty) + val servedSizeQueryEvents = + for { + (queryPredicateName, queryPredicate) <- HomeQueryTypePredicates.PredicateMap + if queryPredicate(queryFeatureMap) + (servedSizePredicateName, servedSizePredicate) <- ServedSizePredicateMap + if servedSizePredicate(injectedTweets.size) + } yield ClientEvent( + baseEventNamespace + .copy(component = Some(servedSizePredicateName), action = Some(queryPredicateName))) + servedSizeQueryEvents.toSeq + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/HomeScribeClientEventSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/HomeScribeClientEventSideEffect.scala new file mode 100644 index 000000000..83f434add --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/HomeScribeClientEventSideEffect.scala @@ -0,0 +1,58 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.clientapp.thriftscala.LogEvent +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.logpipeline.client.common.EventPublisher +import com.twitter.product_mixer.component_library.side_effect.ScribeClientEventSideEffect +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +/** + * Side effect that logs served tweet metrics to Scribe as client events. + */ +case class HomeScribeClientEventSideEffect( + override val logPipelinePublisher: EventPublisher[LogEvent], + injectedTweetsCandidatePipelineIdentifiers: Seq[CandidatePipelineIdentifier], + adsCandidatePipelineIdentifier: CandidatePipelineIdentifier, + whoToFollowCandidatePipelineIdentifier: Option[CandidatePipelineIdentifier] = None, +) extends ScribeClientEventSideEffect[PipelineQuery, Timeline] { + + override val identifier: SideEffectIdentifier = SideEffectIdentifier("HomeScribeClientEvent") + + override val page = "timelinemixer" + + override def buildClientEvents( + query: PipelineQuery, + selectedCandidates: Seq[CandidateWithDetails], + remainingCandidates: Seq[CandidateWithDetails], + droppedCandidates: Seq[CandidateWithDetails], + response: Timeline + ): Seq[ScribeClientEventSideEffect.ClientEvent] = { + + val itemCandidates = CandidatesUtil.getItemCandidates(selectedCandidates) + val sources = itemCandidates.groupBy(_.source) + val injectedTweets = + injectedTweetsCandidatePipelineIdentifiers.flatMap(sources.getOrElse(_, Seq.empty)) + val promotedTweets = sources.getOrElse(adsCandidatePipelineIdentifier, Seq.empty) + + // WhoToFollow module is not required for all home-mixer products, e.g. list tweets timeline. + val whoToFollowUsers = whoToFollowCandidatePipelineIdentifier.flatMap(sources.get).toSeq.flatten + + val servedEvents = ServedEventsBuilder + .build(query, injectedTweets, promotedTweets, whoToFollowUsers) + + val emptyTimelineEvents = EmptyTimelineEventsBuilder.build(query, injectedTweets) + + val queryEvents = QueryEventsBuilder.build(query, injectedTweets) + + (servedEvents ++ emptyTimelineEvents ++ queryEvents).filter(_.eventValue.forall(_ > 0)) + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.9) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/HomeScribeServedEntriesSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/HomeScribeServedEntriesSideEffect.scala new file mode 100644 index 000000000..ab7436032 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/HomeScribeServedEntriesSideEffect.scala @@ -0,0 +1,212 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.finagle.tracing.Trace +import com.twitter.home_mixer.marshaller.timeline_logging.ConversationEntryMarshaller +import com.twitter.home_mixer.marshaller.timeline_logging.PromotedTweetEntryMarshaller +import com.twitter.home_mixer.marshaller.timeline_logging.TweetEntryMarshaller +import com.twitter.home_mixer.marshaller.timeline_logging.WhoToFollowEntryMarshaller +import com.twitter.home_mixer.model.HomeFeatures.GetInitialFeature +import com.twitter.home_mixer.model.HomeFeatures.GetMiddleFeature +import com.twitter.home_mixer.model.HomeFeatures.GetNewerFeature +import com.twitter.home_mixer.model.HomeFeatures.GetOlderFeature +import com.twitter.home_mixer.model.HomeFeatures.HasDarkRequestFeature +import com.twitter.home_mixer.model.HomeFeatures.RequestJoinIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedRequestIdFeature +import com.twitter.home_mixer.model.request.DeviceContext.RequestContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.logpipeline.client.common.EventPublisher +import com.twitter.product_mixer.component_library.model.candidate.BaseTweetCandidate +import com.twitter.product_mixer.component_library.model.candidate.BaseUserCandidate +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowCandidateDecorator +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.AddEntriesTimelineInstruction +import com.twitter.product_mixer.core.model.marshalling.response.urt.ModuleItem +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.user.UserItem +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.timeline_logging.{thriftscala => thrift} +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Side effect that logs home timeline served entries to Scribe. + */ +@Singleton +class HomeScribeServedEntriesSideEffect @Inject() ( + scribeEventPublisher: EventPublisher[thrift.Timeline]) + extends PipelineResultSideEffect[ + PipelineQuery with HasSeenTweetIds with HasDeviceContext, + Timeline + ] { + + override val identifier: SideEffectIdentifier = SideEffectIdentifier("HomeScribeServedEntries") + + final override def apply( + inputs: PipelineResultSideEffect.Inputs[ + PipelineQuery with HasSeenTweetIds with HasDeviceContext, + Timeline + ] + ): Stitch[Unit] = { + val timelineThrift = buildTimeline(inputs) + Stitch.callFuture(scribeEventPublisher.publish(timelineThrift)).unit + } + + def buildTimeline( + inputs: PipelineResultSideEffect.Inputs[ + PipelineQuery with HasSeenTweetIds with HasDeviceContext, + Timeline + ] + ): thrift.Timeline = { + val timelineType = inputs.query.product match { + case FollowingProduct => thrift.TimelineType.HomeLatest + case ForYouProduct => thrift.TimelineType.Home + case other => throw new UnsupportedOperationException(s"Unknown product: $other") + } + val requestProvenance = inputs.query.deviceContext.map { deviceContext => + deviceContext.requestContextValue match { + case RequestContext.Foreground => thrift.RequestProvenance.Foreground + case RequestContext.Launch => thrift.RequestProvenance.Launch + case RequestContext.PullToRefresh => thrift.RequestProvenance.Ptr + case _ => thrift.RequestProvenance.Other + } + } + val queryType = inputs.query.features.map { featureMap => + if (featureMap.getOrElse(GetOlderFeature, false)) thrift.QueryType.GetOlder + else if (featureMap.getOrElse(GetNewerFeature, false)) thrift.QueryType.GetNewer + else if (featureMap.getOrElse(GetMiddleFeature, false)) thrift.QueryType.GetMiddle + else if (featureMap.getOrElse(GetInitialFeature, false)) thrift.QueryType.GetInitial + else thrift.QueryType.Other + } + + val tweetIdToItemCandidateMap: Map[Long, ItemCandidateWithDetails] = + inputs.selectedCandidates.flatMap { + case item: ItemCandidateWithDetails if item.candidate.isInstanceOf[BaseTweetCandidate] => + Seq((item.candidateIdLong, item)) + case module: ModuleCandidateWithDetails + if module.candidates.headOption.exists(_.candidate.isInstanceOf[BaseTweetCandidate]) => + module.candidates.map(item => (item.candidateIdLong, item)) + case _ => Seq.empty + }.toMap + + val userIdToItemCandidateMap: Map[Long, ItemCandidateWithDetails] = + inputs.selectedCandidates.flatMap { + case module: ModuleCandidateWithDetails + if module.candidates.forall(_.candidate.isInstanceOf[BaseUserCandidate]) => + module.candidates.map { item => + (item.candidateIdLong, item) + } + case _ => Seq.empty + }.toMap + + val timelineEntries = inputs.response.instructions.zipWithIndex.collect { + case (AddEntriesTimelineInstruction(entries), index) => + entries.collect { + case entry: TweetItem if entry.promotedMetadata.isDefined => + val promotedTweetEntry = PromotedTweetEntryMarshaller(entry, index) + Seq( + thrift.TimelineEntry( + content = thrift.Content.PromotedTweetEntry(promotedTweetEntry), + position = index.shortValue(), + entryId = entry.entryIdentifier, + entryType = thrift.EntryType.PromotedTweet, + sortIndex = entry.sortIndex, + verticalSize = Some(1) + ) + ) + case entry: TweetItem => + val candidate = tweetIdToItemCandidateMap(entry.id) + val tweetEntry = TweetEntryMarshaller(entry, candidate) + Seq( + thrift.TimelineEntry( + content = thrift.Content.TweetEntry(tweetEntry), + position = index.shortValue(), + entryId = entry.entryIdentifier, + entryType = thrift.EntryType.Tweet, + sortIndex = entry.sortIndex, + verticalSize = Some(1) + ) + ) + case module: TimelineModule + if module.entryNamespace.toString == WhoToFollowCandidateDecorator.EntryNamespaceString => + val whoToFollowEntries = module.items.collect { + case ModuleItem(entry: UserItem, _, _) => + val candidate = userIdToItemCandidateMap(entry.id) + val whoToFollowEntry = WhoToFollowEntryMarshaller(entry, candidate) + thrift.AtomicEntry.WtfEntry(whoToFollowEntry) + } + Seq( + thrift.TimelineEntry( + content = thrift.Content.Entries(whoToFollowEntries), + position = index.shortValue(), + entryId = module.entryIdentifier, + entryType = thrift.EntryType.WhoToFollowModule, + sortIndex = module.sortIndex + ) + ) + case module: TimelineModule + if module.sortIndex.isDefined && module.items.headOption.exists( + _.item.isInstanceOf[TweetItem]) => + val conversationTweetEntries = module.items.collect { + case ModuleItem(entry: TweetItem, _, _) => + val candidate = tweetIdToItemCandidateMap(entry.id) + val conversationEntry = ConversationEntryMarshaller(entry, candidate) + thrift.AtomicEntry.ConversationEntry(conversationEntry) + } + Seq( + thrift.TimelineEntry( + content = thrift.Content.Entries(conversationTweetEntries), + position = index.shortValue(), + entryId = module.entryIdentifier, + entryType = thrift.EntryType.ConversationModule, + sortIndex = module.sortIndex + ) + ) + case _ => Seq.empty + }.flatten + // Other instructions + case _ => Seq.empty[thrift.TimelineEntry] + }.flatten + + thrift.Timeline( + timelineEntries = timelineEntries, + requestTimeMs = inputs.query.queryTime.inMilliseconds, + traceId = Trace.id.traceId.toLong, + userId = inputs.query.getOptionalUserId, + clientAppId = inputs.query.clientContext.appId, + sourceJobInstance = None, + hasDarkRequest = inputs.query.features.flatMap(_.getOrElse(HasDarkRequestFeature, None)), + parentId = Some(Trace.id.parentId.toLong), + spanId = Some(Trace.id.spanId.toLong), + timelineType = Some(timelineType), + ipAddress = inputs.query.clientContext.ipAddress, + userAgent = inputs.query.clientContext.userAgent, + queryType = queryType, + requestProvenance = requestProvenance, + sessionId = None, + timeZone = None, + browserNotificationPermission = None, + lastNonePollingTimeMs = None, + languageCode = inputs.query.clientContext.languageCode, + countryCode = inputs.query.clientContext.countryCode, + requestEndTimeMs = Some(Time.now.inMilliseconds), + servedRequestId = inputs.query.features.flatMap(_.getOrElse(ServedRequestIdFeature, None)), + requestJoinId = inputs.query.features.flatMap(_.getOrElse(RequestJoinIdFeature, None)), + requestSeenTweetIds = inputs.query.seenTweetIds + ) + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert() + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/PublishClientSentImpressionsEventBusSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/PublishClientSentImpressionsEventBusSideEffect.scala new file mode 100644 index 000000000..3d85d1137 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/PublishClientSentImpressionsEventBusSideEffect.scala @@ -0,0 +1,92 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.eventbus.client.EventBusPublisher +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.HasMarshalling +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.impressionstore.thriftscala.Impression +import com.twitter.timelines.impressionstore.thriftscala.ImpressionList +import com.twitter.timelines.impressionstore.thriftscala.PublishedImpressionList +import com.twitter.timelines.impressionstore.thriftscala.SurfaceArea +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +object PublishClientSentImpressionsEventBusSideEffect { + val HomeSurfaceArea: Option[Set[SurfaceArea]] = Some(Set(SurfaceArea.HomeTimeline)) + val HomeLatestSurfaceArea: Option[Set[SurfaceArea]] = Some(Set(SurfaceArea.HomeLatestTimeline)) +} + +/** + * Side effect that publishes seen tweet IDs sent from clients. The seen tweet IDs are sent to a + * heron topology which writes to a memcache dataset. + */ +@Singleton +class PublishClientSentImpressionsEventBusSideEffect @Inject() ( + eventBusPublisher: EventBusPublisher[PublishedImpressionList]) + extends PipelineResultSideEffect[PipelineQuery with HasSeenTweetIds, HasMarshalling] + with PipelineResultSideEffect.Conditionally[ + PipelineQuery with HasSeenTweetIds, + HasMarshalling + ] { + import PublishClientSentImpressionsEventBusSideEffect._ + + override val identifier: SideEffectIdentifier = + SideEffectIdentifier("PublishClientSentImpressionsEventBus") + + override def onlyIf( + query: PipelineQuery with HasSeenTweetIds, + selectedCandidates: Seq[CandidateWithDetails], + remainingCandidates: Seq[CandidateWithDetails], + droppedCandidates: Seq[CandidateWithDetails], + response: HasMarshalling + ): Boolean = query.seenTweetIds.exists(_.nonEmpty) + + def buildEvents( + query: PipelineQuery with HasSeenTweetIds, + currentTime: Long + ): Option[Seq[Impression]] = { + val surfaceArea = query.product match { + case ForYouProduct => HomeSurfaceArea + case FollowingProduct => HomeLatestSurfaceArea + case _ => None + } + query.seenTweetIds.map { seenTweetIds => + seenTweetIds.map { tweetId => + Impression( + tweetId = tweetId, + impressionTime = Some(currentTime), + surfaceAreas = surfaceArea + ) + } + } + } + + final override def apply( + inputs: PipelineResultSideEffect.Inputs[PipelineQuery with HasSeenTweetIds, HasMarshalling] + ): Stitch[Unit] = { + val currentTime = Time.now.inMilliseconds + val impressions = buildEvents(inputs.query, currentTime) + + Stitch.callFuture( + eventBusPublisher.publish( + PublishedImpressionList( + inputs.query.getRequiredUserId, + ImpressionList(impressions), + currentTime + ) + ) + ) + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.4) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/PublishClientSentImpressionsManhattanSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/PublishClientSentImpressionsManhattanSideEffect.scala new file mode 100644 index 000000000..bf365f1a6 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/PublishClientSentImpressionsManhattanSideEffect.scala @@ -0,0 +1,65 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.home_mixer.model.HomeFeatures.TweetImpressionsFeature +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.HasMarshalling +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.impression.{thriftscala => t} +import com.twitter.timelines.impressionstore.store.ManhattanTweetImpressionStoreClient +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Side effect that updates the timelines tweet impression + * store (Manhattan) with seen tweet IDs sent from clients + */ +@Singleton +class PublishClientSentImpressionsManhattanSideEffect @Inject() ( + manhattanTweetImpressionStoreClient: ManhattanTweetImpressionStoreClient) + extends PipelineResultSideEffect[PipelineQuery with HasSeenTweetIds, HasMarshalling] + with PipelineResultSideEffect.Conditionally[ + PipelineQuery with HasSeenTweetIds, + HasMarshalling + ] { + + override val identifier: SideEffectIdentifier = + SideEffectIdentifier("PublishClientSentImpressionsManhattan") + + override def onlyIf( + query: PipelineQuery with HasSeenTweetIds, + selectedCandidates: Seq[CandidateWithDetails], + remainingCandidates: Seq[CandidateWithDetails], + droppedCandidates: Seq[CandidateWithDetails], + response: HasMarshalling + ): Boolean = query.seenTweetIds.exists(_.nonEmpty) + + def buildEvents(query: PipelineQuery): Option[(Long, t.TweetImpressionsEntries)] = { + query.features.flatMap { featureMap => + val impressions = featureMap.getOrElse(TweetImpressionsFeature, Seq.empty) + if (impressions.nonEmpty) + Some((query.getRequiredUserId, t.TweetImpressionsEntries(impressions))) + else None + } + } + + final override def apply( + inputs: PipelineResultSideEffect.Inputs[PipelineQuery with HasSeenTweetIds, HasMarshalling] + ): Stitch[Unit] = { + val events = buildEvents(inputs.query) + + Stitch + .traverse(events) { + case (key, value) => manhattanTweetImpressionStoreClient.write(key, value) + } + .unit + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.4) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateFeatureKeysKafkaSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateFeatureKeysKafkaSideEffect.scala new file mode 100644 index 000000000..52cf0d720 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateFeatureKeysKafkaSideEffect.scala @@ -0,0 +1,112 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.IsReadFromCacheFeature +import com.twitter.home_mixer.model.HomeFeatures.PredictionRequestIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedRequestIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.param.HomeGlobalParams.EnableServedCandidateKafkaPublishingParam +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.side_effect.KafkaPublishingSideEffect +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.ml.cont_train.common.domain.non_scalding.ServedCandidateFeatureKeysAdapter +import com.twitter.timelines.ml.cont_train.common.domain.non_scalding.ServedCandidateFeatureKeysFields +import com.twitter.timelines.ml.kafka.serde.CandidateFeatureKeySerde +import com.twitter.timelines.ml.kafka.serde.TBaseSerde +import com.twitter.timelines.served_candidates_logging.{thriftscala => sc} +import com.twitter.timelines.suggests.common.poly_data_record.{thriftjava => pldr} +import com.twitter.timelineservice.suggests.{thriftscala => tls} +import org.apache.kafka.clients.producer.ProducerRecord +import org.apache.kafka.common.serialization.Serializer +import scala.collection.JavaConverters._ + +/** + * Pipeline side-effect that publishes candidate keys to a Kafka topic. + */ +class ServedCandidateFeatureKeysKafkaSideEffect( + topic: String, + sourceIdentifiers: Set[identifier.CandidatePipelineIdentifier]) + extends KafkaPublishingSideEffect[ + sc.CandidateFeatureKey, + pldr.PolyDataRecord, + PipelineQuery, + Timeline + ] + with PipelineResultSideEffect.Conditionally[PipelineQuery, Timeline] { + + import ServedCandidateKafkaSideEffect._ + + override val identifier: SideEffectIdentifier = SideEffectIdentifier("ServedCandidateFeatureKeys") + + override def onlyIf( + query: PipelineQuery, + selectedCandidates: Seq[CandidateWithDetails], + remainingCandidates: Seq[CandidateWithDetails], + droppedCandidates: Seq[CandidateWithDetails], + response: Timeline + ): Boolean = query.params.getBoolean(EnableServedCandidateKafkaPublishingParam) + + override val bootstrapServer: String = "/s/kafka/timeline:kafka-tls" + + override val keySerde: Serializer[sc.CandidateFeatureKey] = + CandidateFeatureKeySerde().serializer() + + override val valueSerde: Serializer[pldr.PolyDataRecord] = + TBaseSerde.Thrift[pldr.PolyDataRecord]().serializer + + override val clientId: String = "home_mixer_served_candidate_feature_keys_producer" + + override def buildRecords( + query: PipelineQuery, + selectedCandidates: Seq[CandidateWithDetails], + remainingCandidates: Seq[CandidateWithDetails], + droppedCandidates: Seq[CandidateWithDetails], + response: Timeline + ): Seq[ProducerRecord[sc.CandidateFeatureKey, pldr.PolyDataRecord]] = { + val servedRequestIdOpt = + query.features.getOrElse(FeatureMap.empty).getOrElse(ServedRequestIdFeature, None) + + extractCandidates(query, selectedCandidates, sourceIdentifiers).map { candidate => + val isReadFromCache = candidate.features.getOrElse(IsReadFromCacheFeature, false) + val servedId = candidate.features.get(ServedIdFeature).get + + val key = sc.CandidateFeatureKey( + tweetId = candidate.candidateIdLong, + viewerId = query.getRequiredUserId, + servedId = servedId) + + val record = + ServedCandidateFeatureKeysAdapter + .adaptToDataRecords( + ServedCandidateFeatureKeysFields( + candidateTweetSourceId = candidate.features + .getOrElse(CandidateSourceIdFeature, None).map(_.value.toLong).getOrElse(2L), + predictionRequestId = + candidate.features.getOrElse(PredictionRequestIdFeature, None).get, + servedRequestIdOpt = if (isReadFromCache) servedRequestIdOpt else None, + servedId = servedId, + injectionModuleName = candidate.getClass.getSimpleName, + viewerFollowsOriginalAuthor = + Some(candidate.features.getOrElse(InNetworkFeature, true)), + suggestType = candidate.features + .getOrElse(SuggestTypeFeature, None).getOrElse(tls.SuggestType.RankedOrganicTweet), + finalPositionIndex = Some(candidate.sourcePosition), + isReadFromCache = isReadFromCache + )).asScala.head + + new ProducerRecord(topic, key, pldr.PolyDataRecord.dataRecord(record)) + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(98.5) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateFeatureKeysKafkaSideEffectBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateFeatureKeysKafkaSideEffectBuilder.scala new file mode 100644 index 000000000..c84071986 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateFeatureKeysKafkaSideEffectBuilder.scala @@ -0,0 +1,20 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class ServedCandidateFeatureKeysKafkaSideEffectBuilder @Inject() ( + injectedServiceIdentifier: ServiceIdentifier) { + def build( + sourceIdentifiers: Set[CandidatePipelineIdentifier] + ): ServedCandidateFeatureKeysKafkaSideEffect = { + val topic = injectedServiceIdentifier.environment.toLowerCase match { + case "prod" => "tq_ct_served_candidate_feature_keys" + case _ => "tq_ct_served_candidate_feature_keys_staging" + } + new ServedCandidateFeatureKeysKafkaSideEffect(topic, sourceIdentifiers) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKafkaSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKafkaSideEffect.scala new file mode 100644 index 000000000..a59a2219a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKafkaSideEffect.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.home_mixer.model.HomeFeatures.IsReadFromCacheFeature +import com.twitter.home_mixer.model.HomeFeatures.PredictionRequestIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedRequestIdFeature +import com.twitter.home_mixer.model.HomeFeatures.StreamToKafkaFeature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +object ServedCandidateKafkaSideEffect { + + def extractCandidates( + query: PipelineQuery, + selectedCandidates: Seq[CandidateWithDetails], + sourceIdentifiers: Set[CandidatePipelineIdentifier] + ): Seq[ItemCandidateWithDetails] = { + val servedRequestIdOpt = + query.features.getOrElse(FeatureMap.empty).getOrElse(ServedRequestIdFeature, None) + + selectedCandidates.iterator + .filter(candidate => sourceIdentifiers.contains(candidate.source)) + .flatMap { + case item: ItemCandidateWithDetails => Seq(item) + case module: ModuleCandidateWithDetails => module.candidates + } + .filter(candidate => candidate.features.getOrElse(StreamToKafkaFeature, false)) + .map { candidate => + val servedId = + if (candidate.features.getOrElse(IsReadFromCacheFeature, false) && + servedRequestIdOpt.nonEmpty) + servedRequestIdOpt + else + candidate.features.getOrElse(PredictionRequestIdFeature, None) + + candidate.copy(features = candidate.features + (ServedIdFeature, servedId)) + }.toSeq + // deduplicate by (tweetId, userId, servedId) + .groupBy { candidate => + ( + candidate.candidateIdLong, + query.getRequiredUserId, + candidate.features.getOrElse(ServedIdFeature, None)) + }.values.map(_.head).toSeq + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKeysKafkaSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKeysKafkaSideEffect.scala new file mode 100644 index 000000000..28db059c8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKeysKafkaSideEffect.scala @@ -0,0 +1,111 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.home_mixer.model.HomeFeatures.IsReadFromCacheFeature +import com.twitter.home_mixer.model.HomeFeatures.PredictionRequestIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ServedRequestIdFeature +import com.twitter.home_mixer.param.HomeGlobalParams.EnableServedCandidateKafkaPublishingParam +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.util.SRichDataRecord +import com.twitter.product_mixer.component_library.side_effect.KafkaPublishingSideEffect +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.ml.cont_train.common.domain.non_scalding.DataRecordLoggingRelatedFeatures.tlmServedKeysFeatureContext +import com.twitter.timelines.ml.kafka.serde.ServedCandidateKeySerde +import com.twitter.timelines.ml.kafka.serde.TBaseSerde +import com.twitter.timelines.prediction.features.common.TimelinesSharedFeatures +import com.twitter.timelines.served_candidates_logging.{thriftscala => sc} +import com.twitter.timelines.suggests.common.poly_data_record.{thriftjava => pldr} +import com.twitter.util.Time +import org.apache.kafka.clients.producer.ProducerRecord +import org.apache.kafka.common.serialization.Serializer + +/** + * Pipeline side-effect that publishes candidate keys to a Kafka topic. + */ +class ServedCandidateKeysKafkaSideEffect( + topic: String, + sourceIdentifiers: Set[CandidatePipelineIdentifier]) + extends KafkaPublishingSideEffect[ + sc.ServedCandidateKey, + pldr.PolyDataRecord, + PipelineQuery, + Timeline + ] + with PipelineResultSideEffect.Conditionally[PipelineQuery, Timeline] { + + import ServedCandidateKafkaSideEffect._ + + override val identifier: SideEffectIdentifier = SideEffectIdentifier("ServedCandidateKeys") + + override def onlyIf( + query: PipelineQuery, + selectedCandidates: Seq[CandidateWithDetails], + remainingCandidates: Seq[CandidateWithDetails], + droppedCandidates: Seq[CandidateWithDetails], + response: Timeline + ): Boolean = query.params.getBoolean(EnableServedCandidateKafkaPublishingParam) + + override val bootstrapServer: String = "/s/kafka/timeline:kafka-tls" + + override val keySerde: Serializer[sc.ServedCandidateKey] = ServedCandidateKeySerde.serializer() + + override val valueSerde: Serializer[pldr.PolyDataRecord] = + TBaseSerde.Thrift[pldr.PolyDataRecord]().serializer + + override val clientId: String = "home_mixer_served_candidate_keys_producer" + + override def buildRecords( + query: PipelineQuery, + selectedCandidates: Seq[CandidateWithDetails], + remainingCandidates: Seq[CandidateWithDetails], + droppedCandidates: Seq[CandidateWithDetails], + response: Timeline + ): Seq[ProducerRecord[sc.ServedCandidateKey, pldr.PolyDataRecord]] = { + val servedTimestamp = Time.now.inMilliseconds + val servedRequestIdOpt = + query.features.getOrElse(FeatureMap.empty).getOrElse(ServedRequestIdFeature, None) + + extractCandidates(query, selectedCandidates, sourceIdentifiers).collect { + // Only publish non-cached tweets to the ServedCandidateKey topic + case candidate if !candidate.features.getOrElse(IsReadFromCacheFeature, false) => + val key = sc.ServedCandidateKey( + tweetId = candidate.candidateIdLong, + viewerId = query.getRequiredUserId, + servedId = -1L + ) + + val record = SRichDataRecord(new DataRecord, tlmServedKeysFeatureContext) + record.setFeatureValueFromOption( + TimelinesSharedFeatures.PREDICTION_REQUEST_ID, + candidate.features.getOrElse(PredictionRequestIdFeature, None) + ) + record + .setFeatureValueFromOption(TimelinesSharedFeatures.SERVED_REQUEST_ID, servedRequestIdOpt) + record.setFeatureValueFromOption( + TimelinesSharedFeatures.SERVED_ID, + candidate.features.getOrElse(ServedIdFeature, None) + ) + record.setFeatureValueFromOption( + TimelinesSharedFeatures.INJECTION_TYPE, + record.getFeatureValueOpt(TimelinesSharedFeatures.INJECTION_TYPE)) + record.setFeatureValue( + TimelinesSharedFeatures.SERVED_TIMESTAMP, + servedTimestamp + ) + record.record.dropUnknownFeatures() + + new ProducerRecord(topic, key, pldr.PolyDataRecord.dataRecord(record.getRecord)) + } + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(98.5) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKeysKafkaSideEffectBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKeysKafkaSideEffectBuilder.scala new file mode 100644 index 000000000..5e86fdada --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedCandidateKeysKafkaSideEffectBuilder.scala @@ -0,0 +1,20 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +case class ServedCandidateKeysKafkaSideEffectBuilder @Inject() ( + injectedServiceIdentifier: ServiceIdentifier) { + def build( + sourceIdentifiers: Set[CandidatePipelineIdentifier] + ): ServedCandidateKeysKafkaSideEffect = { + val topic = injectedServiceIdentifier.environment.toLowerCase match { + case "prod" => "tq_ct_served_candidate_keys" + case _ => "tq_ct_served_candidate_keys_staging" + } + new ServedCandidateKeysKafkaSideEffect(topic, sourceIdentifiers) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedStatsSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedStatsSideEffect.scala new file mode 100644 index 000000000..3a24a5927 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/ServedStatsSideEffect.scala @@ -0,0 +1,80 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.param.HomeGlobalParams.AuthorListForStatsParam +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ServedStatsSideEffect @Inject() (statsReceiver: StatsReceiver) + extends PipelineResultSideEffect[PipelineQuery, Timeline] { + + override val identifier: SideEffectIdentifier = SideEffectIdentifier("ServedStats") + + private val baseStatsReceiver = statsReceiver.scope(identifier.toString) + private val authorStatsReceiver = baseStatsReceiver.scope("Author") + private val candidateSourceStatsReceiver = baseStatsReceiver.scope("CandidateSource") + private val contentBalanceStatsReceiver = baseStatsReceiver.scope("ContentBalance") + private val inNetworkStatsCounter = contentBalanceStatsReceiver.counter("InNetwork") + private val outOfNetworkStatsCounter = contentBalanceStatsReceiver.counter("OutOfNetwork") + + override def apply( + inputs: PipelineResultSideEffect.Inputs[PipelineQuery, Timeline] + ): Stitch[Unit] = { + val tweetCandidates = CandidatesUtil + .getItemCandidates(inputs.selectedCandidates).filter(_.isCandidateType[TweetCandidate]()) + + recordAuthorStats(tweetCandidates, inputs.query.params(AuthorListForStatsParam)) + recordCandidateSourceStats(tweetCandidates) + recordContentBalanceStats(tweetCandidates) + Stitch.Unit + } + + def recordAuthorStats(candidates: Seq[CandidateWithDetails], authors: Set[Long]): Unit = { + candidates + .filter { candidate => + candidate.features.getOrElse(AuthorIdFeature, None).exists(authors.contains) && + // Only include original tweets + (!candidate.features.getOrElse(IsRetweetFeature, false)) && + candidate.features.getOrElse(InReplyToTweetIdFeature, None).isEmpty + } + .groupBy { candidate => + (getCandidateSourceId(candidate), candidate.features.get(AuthorIdFeature).get) + } + .foreach { + case ((candidateSourceId, authorId), authorCandidates) => + authorStatsReceiver + .scope(authorId.toString).counter(candidateSourceId).incr(authorCandidates.size) + } + } + + def recordCandidateSourceStats(candidates: Seq[ItemCandidateWithDetails]): Unit = { + candidates.groupBy(getCandidateSourceId).foreach { + case (candidateSourceId, candidateSourceCandidates) => + candidateSourceStatsReceiver.counter(candidateSourceId).incr(candidateSourceCandidates.size) + } + } + + def recordContentBalanceStats(candidates: Seq[ItemCandidateWithDetails]): Unit = { + val (in, oon) = candidates.partition(_.features.getOrElse(InNetworkFeature, true)) + inNetworkStatsCounter.incr(in.size) + outOfNetworkStatsCounter.incr(oon.size) + } + + private def getCandidateSourceId(candidate: CandidateWithDetails): String = + candidate.features.getOrElse(CandidateSourceIdFeature, None).map(_.name).getOrElse("None") +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/TruncateTimelinesPersistenceStoreSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/TruncateTimelinesPersistenceStoreSideEffect.scala new file mode 100644 index 000000000..63855d3b8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/TruncateTimelinesPersistenceStoreSideEffect.scala @@ -0,0 +1,68 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.home_mixer.model.HomeFeatures.PersistenceEntriesFeature +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.param.HomeGlobalParams.TimelinesPersistenceStoreMaxEntriesPerClient +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelinemixer.clients.persistence.TimelineResponseBatchesClient +import com.twitter.timelinemixer.clients.persistence.TimelineResponseV3 +import com.twitter.timelineservice.model.TimelineQuery +import com.twitter.timelineservice.model.core.TimelineKind +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Side effect that truncates entries in the Timelines Persistence store + * based on the number of entries per client. + */ +@Singleton +class TruncateTimelinesPersistenceStoreSideEffect @Inject() ( + timelineResponseBatchesClient: TimelineResponseBatchesClient[TimelineResponseV3]) + extends PipelineResultSideEffect[PipelineQuery, Timeline] { + + override val identifier: SideEffectIdentifier = + SideEffectIdentifier("TruncateTimelinesPersistenceStore") + + def getResponsesToDelete(query: PipelineQuery): Seq[TimelineResponseV3] = { + val responses = + query.features.map(_.getOrElse(PersistenceEntriesFeature, Seq.empty)).toSeq.flatten + val responsesByClient = responses.groupBy(_.clientPlatform).values.toSeq + val maxEntriesPerClient = query.params(TimelinesPersistenceStoreMaxEntriesPerClient) + + responsesByClient.flatMap { + _.sortBy(_.servedTime.inMilliseconds) + .foldRight((Seq.empty[TimelineResponseV3], maxEntriesPerClient)) { + case (response, (responsesToDelete, remainingCap)) => + if (remainingCap > 0) (responsesToDelete, remainingCap - response.entries.size) + else (response +: responsesToDelete, remainingCap) + } match { case (responsesToDelete, _) => responsesToDelete } + } + } + + final override def apply( + inputs: PipelineResultSideEffect.Inputs[PipelineQuery, Timeline] + ): Stitch[Unit] = { + val timelineKind = inputs.query.product match { + case FollowingProduct => TimelineKind.homeLatest + case ForYouProduct => TimelineKind.home + case other => throw new UnsupportedOperationException(s"Unknown product: $other") + } + val timelineQuery = TimelineQuery(id = inputs.query.getRequiredUserId, kind = timelineKind) + + val responsesToDelete = getResponsesToDelete(inputs.query) + + if (responsesToDelete.nonEmpty) + Stitch.callFuture(timelineResponseBatchesClient.delete(timelineQuery, responsesToDelete)) + else Stitch.Unit + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.8) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateImpressionBloomFilterSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateImpressionBloomFilterSideEffect.scala new file mode 100644 index 000000000..957fbcd37 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateImpressionBloomFilterSideEffect.scala @@ -0,0 +1,60 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.ImpressionBloomFilterFeature +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelines.impressionbloomfilter.{thriftscala => t} +import com.twitter.timelines.impressionstore.impressionbloomfilter.ImpressionBloomFilter +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class UpdateImpressionBloomFilterSideEffect @Inject() (bloomFilter: ImpressionBloomFilter) + extends PipelineResultSideEffect[PipelineQuery with HasSeenTweetIds, Timeline] + with PipelineResultSideEffect.Conditionally[PipelineQuery with HasSeenTweetIds, Timeline] { + + private val SurfaceArea = t.SurfaceArea.HomeTimeline + + override val identifier: SideEffectIdentifier = + SideEffectIdentifier("UpdateImpressionBloomFilter") + + override def onlyIf( + query: PipelineQuery with HasSeenTweetIds, + selectedCandidates: Seq[CandidateWithDetails], + remainingCandidates: Seq[CandidateWithDetails], + droppedCandidates: Seq[CandidateWithDetails], + response: Timeline + ): Boolean = query.seenTweetIds.exists(_.nonEmpty) + + def buildEvents(query: PipelineQuery): Option[t.ImpressionBloomFilterSeq] = { + query.features.flatMap { featureMap => + val impressionBloomFilterSeq = featureMap.get(ImpressionBloomFilterFeature) + if (impressionBloomFilterSeq.entries.nonEmpty) Some(impressionBloomFilterSeq) + else None + } + } + + override def apply( + inputs: PipelineResultSideEffect.Inputs[PipelineQuery with HasSeenTweetIds, Timeline] + ): Stitch[Unit] = { + buildEvents(inputs.query) + .map { updatedBloomFilter => + bloomFilter.writeBloomFilterSeq( + userId = inputs.query.getRequiredUserId, + surfaceArea = SurfaceArea, + impressionBloomFilterSeq = updatedBloomFilter) + }.getOrElse(Stitch.Unit) + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.8), + HomeMixerAlertConfig.BusinessHours.defaultLatencyAlert(30.millis) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateLastNonPollingTimeSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateLastNonPollingTimeSideEffect.scala new file mode 100644 index 000000000..24199a79c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateLastNonPollingTimeSideEffect.scala @@ -0,0 +1,78 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.home_mixer.model.HomeFeatures.FollowingLastNonPollingTimeFeature +import com.twitter.home_mixer.model.HomeFeatures.NonPollingTimesFeature +import com.twitter.home_mixer.model.HomeFeatures.PollingFeature +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.side_effect.UserSessionStoreUpdateSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.marshalling.HasMarshalling +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelineservice.model.util.FinagleRequestContext +import com.twitter.user_session_store.ReadWriteUserSessionStore +import com.twitter.user_session_store.WriteRequest +import com.twitter.user_session_store.thriftscala.NonPollingTimestamps +import com.twitter.user_session_store.thriftscala.UserSessionField +import com.twitter.util.Time + +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Side effect that updates the User Session Store (Manhattan) with the timestamps of non polling requests. + */ +@Singleton +class UpdateLastNonPollingTimeSideEffect[ + Query <: PipelineQuery with HasDeviceContext, + ResponseType <: HasMarshalling] @Inject() ( + override val userSessionStore: ReadWriteUserSessionStore) + extends UserSessionStoreUpdateSideEffect[ + WriteRequest, + Query, + ResponseType + ] { + private val MaxNonPollingTimes = 10 + + override val identifier: SideEffectIdentifier = SideEffectIdentifier("UpdateLastNonPollingTime") + + /** + * When the request is non polling and is not a background fetch request, update + * the list of non polling timestamps with the timestamp of the current request + */ + override def buildWriteRequest(query: Query): Option[WriteRequest] = { + val isBackgroundFetch = query.deviceContext + .exists(_.requestContextValue.contains(DeviceContext.RequestContext.BackgroundFetch)) + + if (!query.features.exists(_.getOrElse(PollingFeature, false)) && !isBackgroundFetch) { + val fields = Seq(UserSessionField.NonPollingTimestamps(makeLastNonPollingTimestamps(query))) + Some(WriteRequest(query.getRequiredUserId, fields)) + } else None + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.96) + ) + + private def makeLastNonPollingTimestamps(query: Query): NonPollingTimestamps = { + val priorNonPollingTimestamps = + query.features.map(_.getOrElse(NonPollingTimesFeature, Seq.empty)).toSeq.flatten + + val lastNonPollingTimeMs = + FinagleRequestContext.default.requestStartTime.get.getOrElse(Time.now).inMillis + + val followingLastNonPollingTime = query.features + .flatMap(features => features.getOrElse(FollowingLastNonPollingTimeFeature, None)) + .map(_.inMillis) + + NonPollingTimestamps( + nonPollingTimestampsMs = + (lastNonPollingTimeMs +: priorNonPollingTimestamps).take(MaxNonPollingTimes), + mostRecentHomeLatestNonPollingTimestampMs = + if (query.product == FollowingProduct) Some(lastNonPollingTimeMs) + else followingLastNonPollingTime + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateTimelinesPersistenceStoreSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateTimelinesPersistenceStoreSideEffect.scala new file mode 100644 index 000000000..ef8a737a8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect/UpdateTimelinesPersistenceStoreSideEffect.scala @@ -0,0 +1,243 @@ +package com.twitter.home_mixer.functional_component.side_effect + +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowCandidateDecorator +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.AddEntriesTimelineInstruction +import com.twitter.product_mixer.core.model.marshalling.response.urt.ReplaceEntryTimelineInstruction +import com.twitter.product_mixer.core.model.marshalling.response.urt.ShowCoverInstruction +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import com.twitter.timelinemixer.clients.persistence.EntryWithItemIds +import com.twitter.timelinemixer.clients.persistence.ItemIds +import com.twitter.timelinemixer.clients.persistence.TimelineResponseBatchesClient +import com.twitter.timelinemixer.clients.persistence.TimelineResponseV3 +import com.twitter.timelines.persistence.thriftscala.TweetScoreV1 +import com.twitter.timelines.persistence.{thriftscala => persistence} +import com.twitter.timelineservice.model.TimelineQuery +import com.twitter.timelineservice.model.TimelineQueryOptions +import com.twitter.timelineservice.model.TweetScore +import com.twitter.timelineservice.model.core.TimelineKind +import com.twitter.timelineservice.model.rich.EntityIdType +import com.twitter.util.Time +import com.twitter.{timelineservice => tls} +import javax.inject.Inject +import javax.inject.Singleton + +object UpdateTimelinesPersistenceStoreSideEffect { + val EmptyItemIds = ItemIds( + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None) +} + +/** + * Side effect that updates the Timelines Persistence Store (Manhattan) with the entries being returned. + */ +@Singleton +class UpdateTimelinesPersistenceStoreSideEffect @Inject() ( + timelineResponseBatchesClient: TimelineResponseBatchesClient[TimelineResponseV3]) + extends PipelineResultSideEffect[PipelineQuery, Timeline] { + + override val identifier: SideEffectIdentifier = + SideEffectIdentifier("UpdateTimelinesPersistenceStore") + + final override def apply( + inputs: PipelineResultSideEffect.Inputs[PipelineQuery, Timeline] + ): Stitch[Unit] = { + if (inputs.response.instructions.nonEmpty) { + val timelineKind = inputs.query.product match { + case FollowingProduct => TimelineKind.homeLatest + case ForYouProduct => TimelineKind.home + case other => throw new UnsupportedOperationException(s"Unknown product: $other") + } + val timelineQuery = TimelineQuery( + id = inputs.query.getRequiredUserId, + kind = timelineKind, + options = TimelineQueryOptions( + contextualUserId = inputs.query.getOptionalUserId, + deviceContext = tls.DeviceContext.empty.copy( + userAgent = inputs.query.clientContext.userAgent, + clientAppId = inputs.query.clientContext.appId) + ) + ) + + val tweetIdToItemCandidateMap: Map[Long, ItemCandidateWithDetails] = + inputs.selectedCandidates.flatMap { + case item: ItemCandidateWithDetails if item.candidate.id.isInstanceOf[Long] => + Seq((item.candidateIdLong, item)) + case module: ModuleCandidateWithDetails + if module.candidates.headOption.exists(_.candidate.id.isInstanceOf[Long]) => + module.candidates.map(item => (item.candidateIdLong, item)) + case _ => Seq.empty + }.toMap + + val entries = inputs.response.instructions.collect { + case AddEntriesTimelineInstruction(entries) => + entries.collect { + // includes both tweets and promoted tweets + case entry: TweetItem if entry.sortIndex.isDefined => + Seq( + buildTweetEntryWithItemIds( + tweetIdToItemCandidateMap(entry.id), + entry.sortIndex.get)) + // tweet conversation modules are flattened to individual tweets in the persistence store + case module: TimelineModule + if module.sortIndex.isDefined && module.items.headOption.exists( + _.item.isInstanceOf[TweetItem]) => + module.items.map { item => + buildTweetEntryWithItemIds( + tweetIdToItemCandidateMap(item.item.id.asInstanceOf[Long]), + module.sortIndex.get) + } + case module: TimelineModule + if module.sortIndex.isDefined && module.entryNamespace.toString == WhoToFollowCandidateDecorator.EntryNamespaceString => + val userIds = module.items + .map(item => + UpdateTimelinesPersistenceStoreSideEffect.EmptyItemIds.copy(userId = + Some(item.item.id.asInstanceOf[Long]))) + Seq( + EntryWithItemIds( + entityIdType = EntityIdType.WhoToFollow, + sortIndex = module.sortIndex.get, + size = module.items.size.toShort, + itemIds = Some(userIds) + )) + }.flatten + case ShowCoverInstruction(cover) => + Seq( + EntryWithItemIds( + entityIdType = EntityIdType.Prompt, + sortIndex = cover.sortIndex.get, + size = 1, + itemIds = None + ) + ) + case ReplaceEntryTimelineInstruction(entry) => + val namespaceLength = TweetItem.TweetEntryNamespace.toString.length + Seq( + EntryWithItemIds( + entityIdType = EntityIdType.Tweet, + sortIndex = entry.sortIndex.get, + size = 1, + itemIds = Some( + Seq( + ItemIds( + tweetId = + entry.entryIdToReplace.map(e => e.substring(namespaceLength + 1).toLong), + sourceTweetId = None, + quoteTweetId = None, + sourceAuthorId = None, + quoteAuthorId = None, + inReplyToTweetId = None, + inReplyToAuthorId = None, + semanticCoreId = None, + articleId = None, + hasRelevancePrompt = None, + promptData = None, + tweetScore = None, + entryIdToReplace = entry.entryIdToReplace, + tweetReactiveData = None, + userId = None + ) + )) + ) + ) + + }.flatten + + val response = TimelineResponseV3( + clientPlatform = timelineQuery.clientPlatform, + servedTime = Time.now, + requestType = requestTypeFromQuery(inputs.query), + entries = entries) + + Stitch.callFuture(timelineResponseBatchesClient.insertResponse(timelineQuery, response)) + } else Stitch.Unit + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.8) + ) + + private def buildTweetEntryWithItemIds( + candidate: ItemCandidateWithDetails, + sortIndex: Long + ): EntryWithItemIds = { + val features = candidate.features + val sourceAuthorId = + if (features.getOrElse(IsRetweetFeature, false)) features.getOrElse(SourceUserIdFeature, None) + else features.getOrElse(AuthorIdFeature, None) + val quoteAuthorId = + if (features.getOrElse(QuotedTweetIdFeature, None).nonEmpty) + features.getOrElse(SourceUserIdFeature, None) + else None + val tweetScore = features.getOrElse(ScoreFeature, None).map { score => + TweetScore.fromThrift(persistence.TweetScore.TweetScoreV1(TweetScoreV1(score))) + } + + val itemIds = ItemIds( + tweetId = Some(candidate.candidateIdLong), + sourceTweetId = features.getOrElse(SourceTweetIdFeature, None), + quoteTweetId = features.getOrElse(QuotedTweetIdFeature, None), + sourceAuthorId = sourceAuthorId, + quoteAuthorId = quoteAuthorId, + inReplyToTweetId = features.getOrElse(InReplyToTweetIdFeature, None), + inReplyToAuthorId = features.getOrElse(DirectedAtUserIdFeature, None), + semanticCoreId = features.getOrElse(SemanticCoreIdFeature, None), + articleId = None, + hasRelevancePrompt = None, + promptData = None, + tweetScore = tweetScore, + entryIdToReplace = None, + tweetReactiveData = None, + userId = None + ) + + EntryWithItemIds( + entityIdType = EntityIdType.Tweet, + sortIndex = sortIndex, + size = 1.toShort, + itemIds = Some(Seq(itemIds)) + ) + } + + private def requestTypeFromQuery(query: PipelineQuery): persistence.RequestType = { + val features = query.features.getOrElse(FeatureMap.empty) + + val featureToRequestType = Seq( + (PollingFeature, persistence.RequestType.Polling), + (GetInitialFeature, persistence.RequestType.Initial), + (GetNewerFeature, persistence.RequestType.Newer), + (GetMiddleFeature, persistence.RequestType.Middle), + (GetOlderFeature, persistence.RequestType.Older) + ) + + featureToRequestType + .collectFirst { + case (feature, requestType) if features.getOrElse(feature, false) => requestType + }.getOrElse(persistence.RequestType.Other) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/BUILD.bazel new file mode 100644 index 000000000..fe1ee7190 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/BUILD.bazel @@ -0,0 +1,20 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "dspbidder/thrift/src/main/thrift/com/twitter/dspbidder/commons:thrift-scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common", + ], + exports = [ + "dspbidder/thrift/src/main/thrift/com/twitter/dspbidder/commons:thrift-scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/DeviceContextUnmarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/DeviceContextUnmarshaller.scala new file mode 100644 index 000000000..b2c6e6347 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/DeviceContextUnmarshaller.scala @@ -0,0 +1,19 @@ +package com.twitter.home_mixer.marshaller.request + +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.{thriftscala => t} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class DeviceContextUnmarshaller @Inject() () { + + def apply(deviceContext: t.DeviceContext): DeviceContext = { + DeviceContext( + isPolling = deviceContext.isPolling, + requestContext = deviceContext.requestContext, + latestControlAvailable = deviceContext.latestControlAvailable, + autoplayEnabled = deviceContext.autoplayEnabled + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerDebugParamsUnmarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerDebugParamsUnmarshaller.scala new file mode 100644 index 000000000..81a9abf2b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerDebugParamsUnmarshaller.scala @@ -0,0 +1,27 @@ +package com.twitter.home_mixer.marshaller.request + +import com.twitter.home_mixer.model.request.HomeMixerDebugOptions +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.functional_component.marshaller.request.FeatureValueUnmarshaller +import com.twitter.product_mixer.core.model.marshalling.request.DebugParams +import com.twitter.util.Time +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeMixerDebugParamsUnmarshaller @Inject() ( + featureValueUnmarshaller: FeatureValueUnmarshaller) { + + def apply(debugParams: t.DebugParams): DebugParams = { + DebugParams( + featureOverrides = debugParams.featureOverrides.map { map => + map.mapValues(featureValueUnmarshaller(_)).toMap + }, + debugOptions = debugParams.debugOptions.map { options => + HomeMixerDebugOptions( + requestTimeOverride = options.requestTimeOverrideMillis.map(Time.fromMilliseconds) + ) + } + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerProductContextUnmarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerProductContextUnmarshaller.scala new file mode 100644 index 000000000..bbc93389c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerProductContextUnmarshaller.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.marshaller.request + +import com.twitter.home_mixer.model.request.FollowingProductContext +import com.twitter.home_mixer.model.request.ForYouProductContext +import com.twitter.home_mixer.model.request.ListRecommendedUsersProductContext +import com.twitter.home_mixer.model.request.ListTweetsProductContext +import com.twitter.home_mixer.model.request.ScoredTweetsProductContext +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.model.marshalling.request.ProductContext + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeMixerProductContextUnmarshaller @Inject() ( + deviceContextUnmarshaller: DeviceContextUnmarshaller) { + + def apply(productContext: t.ProductContext): ProductContext = productContext match { + case t.ProductContext.Following(p) => + FollowingProductContext( + deviceContext = p.deviceContext.map(deviceContextUnmarshaller(_)), + seenTweetIds = p.seenTweetIds, + dspClientContext = p.dspClientContext + ) + case t.ProductContext.ForYou(p) => + ForYouProductContext( + deviceContext = p.deviceContext.map(deviceContextUnmarshaller(_)), + seenTweetIds = p.seenTweetIds, + dspClientContext = p.dspClientContext + ) + case t.ProductContext.Realtime(p) => + throw new UnsupportedOperationException(s"This product is no longer used") + case t.ProductContext.ScoredTweets(p) => + ScoredTweetsProductContext( + deviceContext = p.deviceContext.map(deviceContextUnmarshaller(_)), + seenTweetIds = p.seenTweetIds, + servedTweetIds = p.servedTweetIds + ) + case t.ProductContext.ListTweets(p) => + ListTweetsProductContext( + listId = p.listId, + deviceContext = p.deviceContext.map(deviceContextUnmarshaller(_)), + dspClientContext = p.dspClientContext + ) + case t.ProductContext.ListRecommendedUsers(p) => + ListRecommendedUsersProductContext( + listId = p.listId, + selectedUserIds = p.selectedUserIds, + excludedUserIds = p.excludedUserIds + ) + case t.ProductContext.UnknownUnionField(field) => + throw new UnsupportedOperationException(s"Unknown display context: ${field.field.name}") + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerProductUnmarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerProductUnmarshaller.scala new file mode 100644 index 000000000..0089c5efb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerProductUnmarshaller.scala @@ -0,0 +1,28 @@ +package com.twitter.home_mixer.marshaller.request + +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.model.request.ListRecommendedUsersProduct +import com.twitter.home_mixer.model.request.ListTweetsProduct +import com.twitter.home_mixer.model.request.ScoredTweetsProduct +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.model.marshalling.request.Product + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeMixerProductUnmarshaller @Inject() () { + + def apply(product: t.Product): Product = product match { + case t.Product.Following => FollowingProduct + case t.Product.ForYou => ForYouProduct + case t.Product.Realtime => + throw new UnsupportedOperationException(s"This product is no longer used") + case t.Product.ScoredTweets => ScoredTweetsProduct + case t.Product.ListTweets => ListTweetsProduct + case t.Product.ListRecommendedUsers => ListRecommendedUsersProduct + case t.Product.EnumUnknownProduct(value) => + throw new UnsupportedOperationException(s"Unknown product: $value") + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerRequestUnmarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerRequestUnmarshaller.scala new file mode 100644 index 000000000..b8894c8b0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/request/HomeMixerRequestUnmarshaller.scala @@ -0,0 +1,30 @@ +package com.twitter.home_mixer.marshaller.request + +import com.twitter.home_mixer.model.request.HomeMixerRequest +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.functional_component.marshaller.request.ClientContextUnmarshaller +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeMixerRequestUnmarshaller @Inject() ( + clientContextUnmarshaller: ClientContextUnmarshaller, + homeProductUnmarshaller: HomeMixerProductUnmarshaller, + homeProductContextUnmarshaller: HomeMixerProductContextUnmarshaller, + homeDebugParamsUnmarshaller: HomeMixerDebugParamsUnmarshaller) { + + def apply(homeRequest: t.HomeMixerRequest): HomeMixerRequest = { + HomeMixerRequest( + clientContext = clientContextUnmarshaller(homeRequest.clientContext), + product = homeProductUnmarshaller(homeRequest.product), + productContext = homeRequest.productContext.map(homeProductContextUnmarshaller(_)), + // Avoid de-serializing cursors in the request unmarshaller. The unmarshaller should never + // fail, which is often a possibility when trying to de-serialize a cursor. Cursors can also + // be product-specific and more appropriately handled in individual product pipelines. + serializedRequestCursor = homeRequest.cursor, + maxResults = homeRequest.maxResults, + debugParams = homeRequest.debugParams.map(homeDebugParamsUnmarshaller(_)), + homeRequestParam = false + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/BUILD.bazel new file mode 100644 index 000000000..efcad840b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/BUILD.bazel @@ -0,0 +1,13 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item", + "src/thrift/com/twitter/timelines/timeline_logging:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/ConversationEntryMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/ConversationEntryMarshaller.scala new file mode 100644 index 000000000..8123f3597 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/ConversationEntryMarshaller.scala @@ -0,0 +1,16 @@ +package com.twitter.home_mixer.marshaller.timeline_logging + +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.timelines.timeline_logging.{thriftscala => thriftlog} + +object ConversationEntryMarshaller { + + def apply(entry: TweetItem, candidate: ItemCandidateWithDetails): thriftlog.ConversationEntry = + thriftlog.ConversationEntry( + displayedTweetId = entry.id, + displayType = Some(entry.displayType.toString), + score = candidate.features.getOrElse(ScoreFeature, None) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/PromotedTweetEntryMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/PromotedTweetEntryMarshaller.scala new file mode 100644 index 000000000..b96bb38a2 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/PromotedTweetEntryMarshaller.scala @@ -0,0 +1,17 @@ +package com.twitter.home_mixer.marshaller.timeline_logging + +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.timelines.timeline_logging.{thriftscala => thriftlog} + +object PromotedTweetEntryMarshaller { + + def apply(entry: TweetItem, position: Int): thriftlog.PromotedTweetEntry = { + thriftlog.PromotedTweetEntry( + id = entry.id, + advertiserId = entry.promotedMetadata.map(_.advertiserId).getOrElse(0L), + insertPosition = position, + impressionId = entry.promotedMetadata.flatMap(_.impressionString), + displayType = Some(entry.displayType.toString) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/TweetEntryMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/TweetEntryMarshaller.scala new file mode 100644 index 000000000..ca6b08778 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/TweetEntryMarshaller.scala @@ -0,0 +1,29 @@ +package com.twitter.home_mixer.marshaller.timeline_logging + +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.model.HomeFeatures.SocialContextFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.timelines.service.{thriftscala => tst} +import com.twitter.timelines.timeline_logging.{thriftscala => thriftlog} + +object TweetEntryMarshaller { + + def apply(entry: TweetItem, candidate: CandidateWithDetails): thriftlog.TweetEntry = { + val socialContextType = candidate.features.getOrElse(SocialContextFeature, None) match { + case Some(tst.SocialContext.GeneralContext(tst.GeneralContext(contextType, _, _, _, _))) => + Some(contextType.value.toShort) + case Some(tst.SocialContext.TopicContext(_)) => + Some(tst.ContextType.Topic.value.toShort) + case _ => None + } + thriftlog.TweetEntry( + id = candidate.candidateIdLong, + sourceTweetId = candidate.features.getOrElse(SourceTweetIdFeature, None), + displayType = Some(entry.displayType.toString), + score = candidate.features.getOrElse(ScoreFeature, None), + socialContextType = socialContextType + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/WhoToFollowEntryMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/WhoToFollowEntryMarshaller.scala new file mode 100644 index 000000000..9a253b726 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timeline_logging/WhoToFollowEntryMarshaller.scala @@ -0,0 +1,19 @@ +package com.twitter.home_mixer.marshaller.timeline_logging + +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.ScoreFeature +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.user.UserItem +import com.twitter.timelines.timeline_logging.{thriftscala => thriftlog} + +object WhoToFollowEntryMarshaller { + + def apply(entry: UserItem, candidate: ItemCandidateWithDetails): thriftlog.WhoToFollowEntry = + thriftlog.WhoToFollowEntry( + userId = entry.id, + displayType = Some(entry.displayType.toString), + score = candidate.features.getOrElse(ScoreFeature, None), + enableReactiveBlending = entry.enableReactiveBlending, + impressionId = entry.promotedMetadata.flatMap(_.impressionString), + advertiserId = entry.promotedMetadata.map(_.advertiserId) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/BUILD.bazel new file mode 100644 index 000000000..e424298f0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/BUILD.bazel @@ -0,0 +1,16 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt", + "src/thrift/com/twitter/timelines/render:thrift-scala", + "src/thrift/com/twitter/timelineservice:thrift-scala", + "timelineservice/common:model", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/ChronologicalCursorMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/ChronologicalCursorMarshaller.scala new file mode 100644 index 000000000..40e25a8ab --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/ChronologicalCursorMarshaller.scala @@ -0,0 +1,20 @@ +package com.twitter.home_mixer.marshaller.timelines + +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.BottomCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.GapCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.timelines.service.{thriftscala => t} + +object ChronologicalCursorMarshaller { + + def apply(cursor: UrtOrderedCursor): Option[t.ChronologicalCursor] = { + cursor.cursorType match { + case Some(TopCursor) => Some(t.ChronologicalCursor(bottom = cursor.id)) + case Some(BottomCursor) => Some(t.ChronologicalCursor(top = cursor.id)) + case Some(GapCursor) => + Some(t.ChronologicalCursor(top = cursor.id, bottom = cursor.gapBoundaryId)) + case _ => None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/ChronologicalCursorUnmarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/ChronologicalCursorUnmarshaller.scala new file mode 100644 index 000000000..739c490ea --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/ChronologicalCursorUnmarshaller.scala @@ -0,0 +1,26 @@ +package com.twitter.home_mixer.marshaller.timelines + +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.BottomCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.GapCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.timelines.service.{thriftscala => t} + +object ChronologicalCursorUnmarshaller { + + def apply(requestCursor: t.RequestCursor): Option[UrtOrderedCursor] = { + requestCursor match { + case t.RequestCursor.ChronologicalCursor(cursor) => + (cursor.top, cursor.bottom) match { + case (Some(top), None) => + Some(UrtOrderedCursor(top, cursor.top, Some(BottomCursor))) + case (None, Some(bottom)) => + Some(UrtOrderedCursor(bottom, cursor.bottom, Some(TopCursor))) + case (Some(top), Some(bottom)) => + Some(UrtOrderedCursor(top, cursor.top, Some(GapCursor), cursor.bottom)) + case _ => None + } + case _ => None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/DeviceContextMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/DeviceContextMarshaller.scala new file mode 100644 index 000000000..097d8dea4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/DeviceContextMarshaller.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.marshaller.timelines + +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.timelineservice.{thriftscala => t} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class DeviceContextMarshaller @Inject() () { + + def apply(deviceContext: DeviceContext, clientContext: ClientContext): t.DeviceContext = { + t.DeviceContext( + countryCode = clientContext.countryCode, + languageCode = clientContext.languageCode, + clientAppId = clientContext.appId, + ipAddress = clientContext.ipAddress, + guestId = clientContext.guestId, + userAgent = clientContext.userAgent, + deviceId = clientContext.deviceId, + isPolling = deviceContext.isPolling, + requestContext = deviceContext.requestContext, + referrer = None, + tfeAuthHeader = None, + mobileDeviceId = clientContext.mobileDeviceId, + isSessionStart = None, + latestControlAvailable = deviceContext.latestControlAvailable, + guestIdMarketing = clientContext.guestIdMarketing, + isInternalOrTwoffice = clientContext.isTwoffice, + guestIdAds = clientContext.guestIdAds, + isUrtRequest = Some(true) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/RecommendedUsersCursorUnmarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/RecommendedUsersCursorUnmarshaller.scala new file mode 100644 index 000000000..693684558 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/RecommendedUsersCursorUnmarshaller.scala @@ -0,0 +1,20 @@ +package com.twitter.home_mixer.marshaller.timelines + +import com.twitter.product_mixer.component_library.model.cursor.UrtUnorderedExcludeIdsCursor +import com.twitter.timelines.service.{thriftscala => t} +import com.twitter.util.Time + +object RecommendedUsersCursorUnmarshaller { + + def apply(requestCursor: t.RequestCursor): Option[UrtUnorderedExcludeIdsCursor] = { + requestCursor match { + case t.RequestCursor.RecommendedUsersCursor(cursor) => + Some( + UrtUnorderedExcludeIdsCursor( + initialSortIndex = cursor.minSortIndex.getOrElse(Time.now.inMilliseconds), + excludedIds = cursor.previouslyRecommendedUserIds + )) + case _ => None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/TimelineServiceCursorMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/TimelineServiceCursorMarshaller.scala new file mode 100644 index 000000000..cbc956ad4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/TimelineServiceCursorMarshaller.scala @@ -0,0 +1,21 @@ +package com.twitter.home_mixer.marshaller.timelines + +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.BottomCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.GapCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.timelineservice.{thriftscala => t} + +object TimelineServiceCursorMarshaller { + + def apply(cursor: UrtOrderedCursor): Option[t.Cursor2] = { + val id = cursor.id.map(_.toString) + val gapBoundaryId = cursor.gapBoundaryId.map(_.toString) + cursor.cursorType match { + case Some(TopCursor) => Some(t.Cursor2(bottom = id)) + case Some(BottomCursor) => Some(t.Cursor2(top = id)) + case Some(GapCursor) => Some(t.Cursor2(top = id, bottom = gapBoundaryId)) + case _ => None + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/TopicContextFunctionalityTypeUnmarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/TopicContextFunctionalityTypeUnmarshaller.scala new file mode 100644 index 000000000..f542cd535 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines/TopicContextFunctionalityTypeUnmarshaller.scala @@ -0,0 +1,22 @@ +package com.twitter.home_mixer.marshaller.timelines + +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.BasicTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecWithEducationTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecommendationTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.TopicContextFunctionalityType +import com.twitter.timelines.render.{thriftscala => urt} + +object TopicContextFunctionalityTypeUnmarshaller { + + def apply( + topicContextFunctionalityType: urt.TopicContextFunctionalityType + ): TopicContextFunctionalityType = topicContextFunctionalityType match { + case urt.TopicContextFunctionalityType.Basic => BasicTopicContextFunctionalityType + case urt.TopicContextFunctionalityType.Recommendation => + RecommendationTopicContextFunctionalityType + case urt.TopicContextFunctionalityType.RecWithEducation => + RecWithEducationTopicContextFunctionalityType + case urt.TopicContextFunctionalityType.EnumUnknownTopicContextFunctionalityType(field) => + throw new UnsupportedOperationException(s"Unknown topic context functionality type: $field") + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/BUILD.bazel new file mode 100644 index 000000000..c5c46d2d1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/BUILD.bazel @@ -0,0 +1,49 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt/builder", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "src/java/com/twitter/ml/api:api-base", + "src/java/com/twitter/ml/api/constant", + "src/scala/com/twitter/ml/api:api-base", + "src/scala/com/twitter/timelines/prediction/features/common", + "src/scala/com/twitter/timelines/prediction/features/recap", + "src/scala/com/twitter/timelines/prediction/features/request_context", + "src/thrift/com/twitter/dal/personal_data:personal_data-java", + "src/thrift/com/twitter/escherbird:tweet-annotation-scala", + "src/thrift/com/twitter/gizmoduck:thrift-scala", + "src/thrift/com/twitter/timelines/author_features:thrift-java", + "src/thrift/com/twitter/timelines/conversation_features:conversation_features-scala", + "src/thrift/com/twitter/timelines/impression:thrift-scala", + "src/thrift/com/twitter/timelines/impression_bloom_filter:thrift-scala", + "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", + "src/thrift/com/twitter/timelineservice/server/suggests/logging:thrift-scala", + "src/thrift/com/twitter/tweetypie:media-entity-scala", + "src/thrift/com/twitter/tweetypie:tweet-scala", + "src/thrift/com/twitter/user_session_store:thrift-java", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/manhattan", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/persistence", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/model/candidate", + "timelines/src/main/scala/com/twitter/timelines/model/types", + "topic-social-proof/server/src/main/thrift:thrift-scala", + "tweetconvosvc/common/src/main/thrift/com/twitter/tweetconvosvc/tweet_ancestor:thrift-scala", + ], + exports = [ + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "src/thrift/com/twitter/timelines/impression:thrift-scala", + "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", + "tweetconvosvc/common/src/main/thrift/com/twitter/tweetconvosvc/tweet_ancestor:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/ClearCacheIncludeInstruction.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/ClearCacheIncludeInstruction.scala new file mode 100644 index 000000000..85154e55b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/ClearCacheIncludeInstruction.scala @@ -0,0 +1,43 @@ +package com.twitter.home_mixer.model + +import com.twitter.home_mixer.model.request.DeviceContext.RequestContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.IncludeInstruction +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineEntry +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +/** + * Include a clear cache timeline instruction when we satisfy these criteria: + * - Request Provenance is "pull to refresh" + * - Atleast N non-ad tweet entries in the response + * + * This is to ensure that we have sufficient new content to justify jumping users to the + * top of the new timelines response and don't add unnecessary load to backend systems + */ +case class ClearCacheIncludeInstruction( + enableParam: FSParam[Boolean], + minEntriesParam: FSBoundedParam[Int]) + extends IncludeInstruction[PipelineQuery with HasDeviceContext] { + + override def apply( + query: PipelineQuery with HasDeviceContext, + entries: Seq[TimelineEntry] + ): Boolean = { + val enabled = query.params(enableParam) + + val ptr = + query.deviceContext.flatMap(_.requestContextValue).contains(RequestContext.PullToRefresh) + + val minTweets = query.params(minEntriesParam) <= entries.collect { + case item: TweetItem if item.promotedMetadata.isEmpty => 1 + case module: TimelineModule if module.items.head.item.isInstanceOf[TweetItem] => + module.items.size + }.sum + + enabled && ptr && minTweets + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/ContentFeatures.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/ContentFeatures.scala new file mode 100644 index 000000000..44e8cf25e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/ContentFeatures.scala @@ -0,0 +1,96 @@ +package com.twitter.home_mixer.model + +import com.twitter.escherbird.{thriftscala => esb} +import com.twitter.tweetypie.{thriftscala => tp} + +object ContentFeatures { + val Empty: ContentFeatures = ContentFeatures( + 0.toShort, + false, + 0.toShort, + 0.toShort, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None, + None + ) +} + +case class ContentFeatures( + length: Short, + hasQuestion: Boolean, + numCaps: Short, + numWhiteSpaces: Short, + numNewlines: Option[Short], + videoDurationMs: Option[Int], + bitRate: Option[Int], + aspectRatioNum: Option[Short], + aspectRatioDen: Option[Short], + widths: Option[Seq[Short]], + heights: Option[Seq[Short]], + resizeMethods: Option[Seq[Short]], + numMediaTags: Option[Short], + mediaTagScreenNames: Option[Seq[String]], + emojiTokens: Option[Set[String]], + emoticonTokens: Option[Set[String]], + faceAreas: Option[Seq[Int]], + dominantColorRed: Option[Short], + dominantColorBlue: Option[Short], + dominantColorGreen: Option[Short], + numColors: Option[Short], + stickerIds: Option[Seq[Long]], + mediaOriginProviders: Option[Seq[String]], + isManaged: Option[Boolean], + is360: Option[Boolean], + viewCount: Option[Long], + isMonetizable: Option[Boolean], + isEmbeddable: Option[Boolean], + hasSelectedPreviewImage: Option[Boolean], + hasTitle: Option[Boolean], + hasDescription: Option[Boolean], + hasVisitSiteCallToAction: Option[Boolean], + hasAppInstallCallToAction: Option[Boolean], + hasWatchNowCallToAction: Option[Boolean], + media: Option[Seq[tp.MediaEntity]], + dominantColorPercentage: Option[Double], + posUnigrams: Option[Set[String]], + posBigrams: Option[Set[String]], + semanticCoreAnnotations: Option[Seq[esb.TweetEntityAnnotation]], + selfThreadMetadata: Option[tp.SelfThreadMetadata], + tokens: Option[Seq[String]], + conversationControl: Option[tp.ConversationControl], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/GapIncludeInstruction.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/GapIncludeInstruction.scala new file mode 100644 index 000000000..c11631fc8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/GapIncludeInstruction.scala @@ -0,0 +1,63 @@ +package com.twitter.home_mixer.model + +import com.twitter.home_mixer.functional_component.candidate_source.EarlybirdBottomTweetFeature +import com.twitter.home_mixer.functional_component.candidate_source.EarlybirdResponseTruncatedFeature +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.IncludeInstruction +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineEntry +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.GapCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.product_mixer.core.pipeline.HasPipelineCursor +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +/** + * Determine whether to include a Gap Cursor in the response based on whether a timeline + * is truncated because it has more entries than the max response size. + * There are two ways this can happen: + * 1) There are unused entries in Earlybird. This is determined by a flag returned from Earlybird. + * We respect the Earlybird flag only if there are some entries after deduping and filtering + * to ensure that we do not get stuck repeatedly serving gaps which lead to no tweets. + * 2) Ads injection can take the response size over the max count. Goldfinch truncates tweet + * entries in this case. We can check if the bottom tweet from Earlybird is in the response to + * determine if all Earlybird tweets have been used. + * + * While scrolling down to get older tweets (BottomCursor), responses will generally be + * truncated, but we don't want to render a gap cursor there, so we need to ensure we only + * apply the truncation check to newer (TopCursor) or middle (GapCursor) requests. + * + * We return either a Gap Cursor or a Bottom Cursor, but not both, so the include instruction + * for Bottom should be the inverse of Gap. + */ +object GapIncludeInstruction + extends IncludeInstruction[PipelineQuery with HasPipelineCursor[UrtOrderedCursor]] { + + override def apply( + query: PipelineQuery with HasPipelineCursor[UrtOrderedCursor], + entries: Seq[TimelineEntry] + ): Boolean = { + val wasTruncated = query.features.exists(_.getOrElse(EarlybirdResponseTruncatedFeature, false)) + + // Get oldest tweet or tweets within oldest conversation module + val tweetEntries = entries.view.reverse + .collectFirst { + case item: TweetItem if item.promotedMetadata.isEmpty => Seq(item.id.toString) + case module: TimelineModule if module.items.head.item.isInstanceOf[TweetItem] => + module.items.map(_.item.id.toString) + }.toSeq.flatten + + val bottomCursor = + query.features.flatMap(_.getOrElse(EarlybirdBottomTweetFeature, None)).map(_.toString) + + // Ads truncation happened if we have at least max count entries and bottom tweet is missing + val adsTruncation = query.requestedMaxResults.exists(_ <= entries.size) && + !bottomCursor.exists(tweetEntries.contains) + + query.pipelineCursor.exists(_.cursorType match { + case Some(TopCursor) | Some(GapCursor) => + (wasTruncated && tweetEntries.nonEmpty) || adsTruncation + case _ => false + }) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/HomeAdsQuery.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/HomeAdsQuery.scala new file mode 100644 index 000000000..bfbe722fc --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/HomeAdsQuery.scala @@ -0,0 +1,42 @@ +package com.twitter.home_mixer.model + +import com.twitter.adserver.thriftscala.RequestTriggerType +import com.twitter.home_mixer.model.HomeFeatures.GetInitialFeature +import com.twitter.home_mixer.model.HomeFeatures.GetNewerFeature +import com.twitter.home_mixer.model.HomeFeatures.GetOlderFeature +import com.twitter.home_mixer.model.HomeFeatures.PollingFeature +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.component_library.model.query.ads.AdsQuery +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.pipeline.HasPipelineCursor +import com.twitter.product_mixer.core.pipeline.PipelineQuery + +/** + * These are for feeds needed for ads only. + */ +trait HomeAdsQuery + extends AdsQuery + with PipelineQuery + with HasDeviceContext + with HasPipelineCursor[UrtOrderedCursor] { + + private val featureToRequestTriggerType = Seq( + (GetInitialFeature, RequestTriggerType.Initial), + (GetNewerFeature, RequestTriggerType.Scroll), + (GetOlderFeature, RequestTriggerType.Scroll), + (PollingFeature, RequestTriggerType.AutoRefresh) + ) + + override val autoplayEnabled: Option[Boolean] = deviceContext.flatMap(_.autoplayEnabled) + + override def requestTriggerType: Option[RequestTriggerType] = { + val features = this.features.getOrElse(FeatureMap.empty) + + featureToRequestTriggerType.collectFirst { + case (feature, requestType) if features.get(feature) => Some(requestType) + }.flatten + } + + override val disableNsfwAvoidance: Option[Boolean] = Some(true) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/HomeFeatures.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/HomeFeatures.scala new file mode 100644 index 000000000..0a19230d3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/HomeFeatures.scala @@ -0,0 +1,266 @@ +package com.twitter.home_mixer.model + +import com.twitter.core_workflows.user_model.{thriftscala => um} +import com.twitter.dal.personal_data.{thriftjava => pd} +import com.twitter.escherbird.{thriftscala => esb} +import com.twitter.gizmoduck.{thriftscala => gt} +import com.twitter.home_mixer.{thriftscala => hmt} +import com.twitter.ml.api.constant.SharedFeatures +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.BoolDataRecordCompatible +import com.twitter.product_mixer.core.feature.datarecord.DataRecordFeature +import com.twitter.product_mixer.core.feature.datarecord.LongDiscreteDataRecordCompatible +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.TopicContextFunctionalityType +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.search.common.features.{thriftscala => sc} +import com.twitter.timelinemixer.clients.manhattan.DismissInfo +import com.twitter.timelinemixer.clients.persistence.TimelineResponseV3 +import com.twitter.timelinemixer.injection.model.candidate.AudioSpaceMetaData +import com.twitter.timelines.conversation_features.v1.thriftscala.ConversationFeatures +import com.twitter.timelines.impression.{thriftscala => imp} +import com.twitter.timelines.impressionbloomfilter.{thriftscala => blm} +import com.twitter.timelines.model.UserId +import com.twitter.timelines.prediction.features.common.TimelinesSharedFeatures +import com.twitter.timelines.prediction.features.recap.RecapFeatures +import com.twitter.timelines.prediction.features.request_context.RequestContextFeatures +import com.twitter.timelines.service.{thriftscala => tst} +import com.twitter.timelineservice.model.FeedbackEntry +import com.twitter.timelineservice.suggests.logging.candidate_tweet_source_id.{thriftscala => cts} +import com.twitter.timelineservice.suggests.{thriftscala => st} +import com.twitter.tsp.{thriftscala => tsp} +import com.twitter.tweetconvosvc.tweet_ancestor.{thriftscala => ta} +import com.twitter.util.Time + +object HomeFeatures { + // Candidate Features + object AncestorsFeature extends Feature[TweetCandidate, Seq[ta.TweetAncestor]] + object AudioSpaceMetaDataFeature extends Feature[TweetCandidate, Option[AudioSpaceMetaData]] + object TwitterListIdFeature extends Feature[TweetCandidate, Option[Long]] + + /** + * For Retweets, this should refer to the retweeting user. Use [[SourceUserIdFeature]] if you want to know + * who created the Tweet that was retweeted. + */ + object AuthorIdFeature + extends Feature[TweetCandidate, Option[Long]] + with LongDiscreteDataRecordCompatible { + override val featureName: String = SharedFeatures.AUTHOR_ID.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set(pd.PersonalDataType.UserId) + } + object AuthorIsEligibleForConnectBoostFeature extends Feature[TweetCandidate, Boolean] + object AuthorIsBlueVerifiedFeature extends Feature[TweetCandidate, Boolean] + object AuthoredByContextualUserFeature extends Feature[TweetCandidate, Boolean] + object CachedCandidatePipelineIdentifierFeature extends Feature[TweetCandidate, Option[String]] + object CandidateSourceIdFeature + extends Feature[TweetCandidate, Option[cts.CandidateTweetSourceId]] + object ConversationFeature extends Feature[TweetCandidate, Option[ConversationFeatures]] + + /** + * This field should be set to the focal Tweet's tweetId for all tweets which are expected to + * be rendered in the same convo module. For non-convo module Tweets, this will be + * set to None. Note this is different from how TweetyPie defines ConversationId which is defined + * on all Tweets and points to the root tweet. This feature is used for grouping convo modules together. + */ + object ConversationModuleFocalTweetIdFeature extends Feature[TweetCandidate, Option[Long]] + + /** + * This field should always be set to the root Tweet in a conversation for all Tweets. For replies, this will + * point back to the root Tweet. For non-replies, this will be the candidate's Tweet id. This is consistent with + * the TweetyPie definition of ConversationModuleId. + */ + object ConversationModuleIdFeature extends Feature[TweetCandidate, Option[Long]] + object DirectedAtUserIdFeature extends Feature[TweetCandidate, Option[Long]] + object EarlybirdFeature extends Feature[TweetCandidate, Option[sc.ThriftTweetFeatures]] + object EarlybirdScoreFeature extends Feature[TweetCandidate, Option[Double]] + object EntityTokenFeature extends Feature[TweetCandidate, Option[String]] + object ExclusiveConversationAuthorIdFeature extends Feature[TweetCandidate, Option[Long]] + object FavoritedByUserIdsFeature extends Feature[TweetCandidate, Seq[Long]] + object FeedbackHistoryFeature extends Feature[TweetCandidate, Seq[FeedbackEntry]] + object RetweetedByEngagerIdsFeature extends Feature[TweetCandidate, Seq[Long]] + object RepliedByEngagerIdsFeature extends Feature[TweetCandidate, Seq[Long]] + object FollowedByUserIdsFeature extends Feature[TweetCandidate, Seq[Long]] + + object TopicIdSocialContextFeature extends Feature[TweetCandidate, Option[Long]] + object TopicContextFunctionalityTypeFeature + extends Feature[TweetCandidate, Option[TopicContextFunctionalityType]] + object FromInNetworkSourceFeature extends Feature[TweetCandidate, Boolean] + + object FullScoringSucceededFeature extends Feature[TweetCandidate, Boolean] + object HasDisplayedTextFeature extends Feature[TweetCandidate, Boolean] + object InReplyToTweetIdFeature extends Feature[TweetCandidate, Option[Long]] + object InReplyToUserIdFeature extends Feature[TweetCandidate, Option[Long]] + object IsAncestorCandidateFeature extends Feature[TweetCandidate, Boolean] + object IsExtendedReplyFeature + extends DataRecordFeature[TweetCandidate, Boolean] + with BoolDataRecordCompatible { + override val featureName: String = RecapFeatures.IS_EXTENDED_REPLY.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + } + object IsRandomTweetFeature + extends Feature[TweetCandidate, Boolean] + with BoolDataRecordCompatible { + override val featureName: String = TimelinesSharedFeatures.IS_RANDOM_TWEET.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + } + object IsReadFromCacheFeature extends Feature[TweetCandidate, Boolean] + object IsRetweetFeature extends Feature[TweetCandidate, Boolean] + object IsRetweetedReplyFeature extends Feature[TweetCandidate, Boolean] + object LastScoredTimestampMsFeature extends Feature[TweetCandidate, Option[Long]] + object NonSelfFavoritedByUserIdsFeature extends Feature[TweetCandidate, Seq[Long]] + object NumImagesFeature extends Feature[TweetCandidate, Option[Int]] + object OriginalTweetCreationTimeFromSnowflakeFeature extends Feature[TweetCandidate, Option[Time]] + object PositionFeature extends Feature[TweetCandidate, Option[Int]] + // Internal id generated per prediction service request + object PredictionRequestIdFeature extends Feature[TweetCandidate, Option[Long]] + object QuotedTweetIdFeature extends Feature[TweetCandidate, Option[Long]] + object QuotedUserIdFeature extends Feature[TweetCandidate, Option[Long]] + object ScoreFeature extends Feature[TweetCandidate, Option[Double]] + object SemanticCoreIdFeature extends Feature[TweetCandidate, Option[Long]] + // Key for kafka logging + object ServedIdFeature extends Feature[TweetCandidate, Option[Long]] + object SimclustersTweetTopKClustersWithScoresFeature + extends Feature[TweetCandidate, Map[String, Double]] + object SocialContextFeature extends Feature[TweetCandidate, Option[tst.SocialContext]] + object SourceTweetIdFeature + extends Feature[TweetCandidate, Option[Long]] + with LongDiscreteDataRecordCompatible { + override val featureName: String = TimelinesSharedFeatures.SOURCE_TWEET_ID.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set(pd.PersonalDataType.TweetId) + } + object SourceUserIdFeature extends Feature[TweetCandidate, Option[Long]] + object StreamToKafkaFeature extends Feature[TweetCandidate, Boolean] + object SuggestTypeFeature extends Feature[TweetCandidate, Option[st.SuggestType]] + object TSPMetricTagFeature extends Feature[TweetCandidate, Set[tsp.MetricTag]] + object TweetLanguageFeature extends Feature[TweetCandidate, Option[String]] + object TweetUrlsFeature extends Feature[TweetCandidate, Seq[String]] + object VideoDurationMsFeature extends Feature[TweetCandidate, Option[Int]] + object ViewerIdFeature + extends Feature[TweetCandidate, Long] + with LongDiscreteDataRecordCompatible { + override def featureName: String = SharedFeatures.USER_ID.getFeatureName + override def personalDataTypes: Set[pd.PersonalDataType] = Set(pd.PersonalDataType.UserId) + } + object WeightedModelScoreFeature extends Feature[TweetCandidate, Option[Double]] + object MentionUserIdFeature extends Feature[TweetCandidate, Seq[Long]] + object MentionScreenNameFeature extends Feature[TweetCandidate, Seq[String]] + object SemanticAnnotationFeature extends Feature[TweetCandidate, Seq[esb.TweetEntityAnnotation]] + object HasImageFeature extends Feature[TweetCandidate, Boolean] + object HasVideoFeature extends Feature[TweetCandidate, Boolean] + + // Tweetypie VF Features + object IsHydratedFeature extends FeatureWithDefaultOnFailure[TweetCandidate, Boolean] { + override val defaultValue: Boolean = true + } + object IsNsfwFeature extends Feature[TweetCandidate, Boolean] + object QuotedTweetDroppedFeature extends Feature[TweetCandidate, Boolean] + // Raw Tweet Text from Tweetypie + object TweetTextFeature extends Feature[TweetCandidate, Option[String]] + + // SGS Features + /** + * By convention, this is set to true for retweets of non-followed authors + * E.g. where somebody the viewer follows retweets a Tweet from somebody the viewer doesn't follow + */ + object InNetworkFeature extends FeatureWithDefaultOnFailure[TweetCandidate, Boolean] { + override val defaultValue: Boolean = true + } + + // Query Features + object AccountAgeFeature extends Feature[PipelineQuery, Option[Time]] + object ClientIdFeature + extends Feature[PipelineQuery, Option[Long]] + with LongDiscreteDataRecordCompatible { + override def featureName: String = SharedFeatures.CLIENT_ID.getFeatureName + override def personalDataTypes: Set[pd.PersonalDataType] = Set(pd.PersonalDataType.ClientType) + } + object CachedScoredTweetsFeature extends Feature[PipelineQuery, Seq[hmt.CachedScoredTweet]] + object DDGStatsElonFeature extends Feature[PipelineQuery, Long] + object DDGStatsVitsFeature extends Feature[PipelineQuery, Set[Long]] + object DDGStatsDemocratsFeature extends Feature[PipelineQuery, Set[Long]] + object DDGStatsRepublicansFeature extends Feature[PipelineQuery, Set[Long]] + object DeviceLanguageFeature extends Feature[PipelineQuery, Option[String]] + object DismissInfoFeature + extends FeatureWithDefaultOnFailure[PipelineQuery, Map[st.SuggestType, Option[DismissInfo]]] { + override def defaultValue: Map[st.SuggestType, Option[DismissInfo]] = Map.empty + } + object FollowingLastNonPollingTimeFeature extends Feature[PipelineQuery, Option[Time]] + object GetInitialFeature extends Feature[PipelineQuery, Boolean] with BoolDataRecordCompatible { + override def featureName: String = RequestContextFeatures.IS_GET_INITIAL.getFeatureName + override def personalDataTypes: Set[pd.PersonalDataType] = Set.empty + } + object GetMiddleFeature extends Feature[PipelineQuery, Boolean] with BoolDataRecordCompatible { + override def featureName: String = RequestContextFeatures.IS_GET_MIDDLE.getFeatureName + override def personalDataTypes: Set[pd.PersonalDataType] = Set.empty + } + object GetNewerFeature extends Feature[PipelineQuery, Boolean] with BoolDataRecordCompatible { + override def featureName: String = RequestContextFeatures.IS_GET_NEWER.getFeatureName + override def personalDataTypes: Set[pd.PersonalDataType] = Set.empty + } + object GetOlderFeature extends Feature[PipelineQuery, Boolean] with BoolDataRecordCompatible { + override def featureName: String = RequestContextFeatures.IS_GET_OLDER.getFeatureName + override def personalDataTypes: Set[pd.PersonalDataType] = Set.empty + } + object GuestIdFeature + extends Feature[PipelineQuery, Option[Long]] + with LongDiscreteDataRecordCompatible { + override def featureName: String = SharedFeatures.GUEST_ID.getFeatureName + override def personalDataTypes: Set[pd.PersonalDataType] = Set(pd.PersonalDataType.GuestId) + } + object HasDarkRequestFeature extends Feature[TweetCandidate, Option[Boolean]] + object ImpressionBloomFilterFeature + extends FeatureWithDefaultOnFailure[PipelineQuery, blm.ImpressionBloomFilterSeq] { + override def defaultValue: blm.ImpressionBloomFilterSeq = + blm.ImpressionBloomFilterSeq(Seq.empty) + } + object IsForegroundRequestFeature extends Feature[PipelineQuery, Boolean] + object IsLaunchRequestFeature extends Feature[PipelineQuery, Boolean] + object LastNonPollingTimeFeature extends Feature[PipelineQuery, Option[Time]] + object NonPollingTimesFeature extends Feature[PipelineQuery, Seq[Long]] + object PersistenceEntriesFeature extends Feature[PipelineQuery, Seq[TimelineResponseV3]] + object PollingFeature extends Feature[PipelineQuery, Boolean] + object PullToRefreshFeature extends Feature[PipelineQuery, Boolean] + // Scores from Real Graph representing the relationship between the viewer and another user + object RealGraphInNetworkScoresFeature extends Feature[PipelineQuery, Map[UserId, Double]] + object RequestJoinIdFeature extends Feature[TweetCandidate, Option[Long]] + // Internal id generated per request, mainly to deduplicate re-served cached tweets in logging + object ServedRequestIdFeature extends Feature[PipelineQuery, Option[Long]] + object ServedTweetIdsFeature extends Feature[PipelineQuery, Seq[Long]] + object TweetImpressionsFeature extends Feature[PipelineQuery, Seq[imp.TweetImpressionsEntry]] + object UserFollowedTopicsCountFeature extends Feature[PipelineQuery, Option[Int]] + object UserFollowingCountFeature extends Feature[PipelineQuery, Option[Int]] + object UserScreenNameFeature extends Feature[PipelineQuery, Option[String]] + object UserStateFeature extends Feature[PipelineQuery, Option[um.UserState]] + object UserTypeFeature extends Feature[PipelineQuery, Option[gt.UserType]] + object WhoToFollowExcludedUserIdsFeature + extends FeatureWithDefaultOnFailure[PipelineQuery, Seq[Long]] { + override def defaultValue = Seq.empty + } + + // Result Features + object ServedSizeFeature extends Feature[PipelineQuery, Option[Int]] + object HasRandomTweetFeature extends Feature[PipelineQuery, Boolean] + object IsRandomTweetAboveFeature extends Feature[TweetCandidate, Boolean] + object ServedInConversationModuleFeature extends Feature[TweetCandidate, Boolean] + object ConversationModule2DisplayedTweetsFeature extends Feature[TweetCandidate, Boolean] + object ConversationModuleHasGapFeature extends Feature[TweetCandidate, Boolean] + object SGSValidLikedByUserIdsFeature extends Feature[TweetCandidate, Seq[Long]] + object SGSValidFollowedByUserIdsFeature extends Feature[TweetCandidate, Seq[Long]] + object PerspectiveFilteredLikedByUserIdsFeature extends Feature[TweetCandidate, Seq[Long]] + object ScreenNamesFeature extends Feature[TweetCandidate, Map[Long, String]] + object RealNamesFeature extends Feature[TweetCandidate, Map[Long, String]] + + /** + * Features around the focal Tweet for Tweets which should be rendered in convo modules. + * These are needed in order to render social context above the root tweet in a convo modules. + * For example if we have a convo module A-B-C (A Tweets, B replies to A, C replies to B), the descendant features are + * for the Tweet C. These features are None except for the root Tweet for Tweets which should render into + * convo modules. + */ + object FocalTweetAuthorIdFeature extends Feature[TweetCandidate, Option[Long]] + object FocalTweetInNetworkFeature extends Feature[TweetCandidate, Option[Boolean]] + object FocalTweetRealNamesFeature extends Feature[TweetCandidate, Option[Map[Long, String]]] + object FocalTweetScreenNamesFeature extends Feature[TweetCandidate, Option[Map[Long, String]]] + object MediaUnderstandingAnnotationIdsFeature extends Feature[TweetCandidate, Seq[Long]] +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/BUILD.bazel new file mode 100644 index 000000000..2212b8159 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/BUILD.bazel @@ -0,0 +1,16 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "dspbidder/thrift/src/main/thrift/com/twitter/dspbidder/commons:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/identifier", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + "timelineservice/common:model", + ], + exports = [ + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/DeviceContext.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/DeviceContext.scala new file mode 100644 index 000000000..ef96865ca --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/DeviceContext.scala @@ -0,0 +1,74 @@ +package com.twitter.home_mixer.model.request + +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.{timelineservice => tls} + +case class DeviceContext( + isPolling: Option[Boolean], + requestContext: Option[String], + latestControlAvailable: Option[Boolean], + autoplayEnabled: Option[Boolean]) { + + lazy val requestContextValue: Option[DeviceContext.RequestContext.Value] = + requestContext.flatMap { value => + val normalizedValue = value.trim.toLowerCase() + DeviceContext.RequestContext.values.find(_.toString == normalizedValue) + } + + def toTimelineServiceDeviceContext(clientContext: ClientContext): tls.DeviceContext = + tls.DeviceContext( + countryCode = clientContext.countryCode, + languageCode = clientContext.languageCode, + clientAppId = clientContext.appId, + ipAddress = clientContext.ipAddress, + guestId = clientContext.guestId, + sessionId = None, + timezone = None, + userAgent = clientContext.userAgent, + deviceId = clientContext.deviceId, + isPolling = isPolling, + requestProvenance = requestContext, + referrer = None, + tfeAuthHeader = None, + mobileDeviceId = clientContext.mobileDeviceId, + isSessionStart = None, + displaySize = None, + isURTRequest = Some(true), + latestControlAvailable = latestControlAvailable, + guestIdMarketing = clientContext.guestIdMarketing, + isInternalOrTwoffice = clientContext.isTwoffice, + browserNotificationPermission = None, + guestIdAds = clientContext.guestIdAds, + ) +} + +object DeviceContext { + val Empty: DeviceContext = DeviceContext( + isPolling = None, + requestContext = None, + latestControlAvailable = None, + autoplayEnabled = None + ) + + /** + * Constants which reflect valid client request provenances (why a request was initiated, encoded + * by the "request_context" HTTP parameter). + */ + object RequestContext extends Enumeration { + val Auto = Value("auto") + val Foreground = Value("foreground") + val Gap = Value("gap") + val Launch = Value("launch") + val ManualRefresh = Value("manual_refresh") + val Navigate = Value("navigate") + val Polling = Value("polling") + val PullToRefresh = Value("ptr") + val Signup = Value("signup") + val TweetSelfThread = Value("tweet_self_thread") + val BackgroundFetch = Value("background_fetch") + } +} + +trait HasDeviceContext { + def deviceContext: Option[DeviceContext] +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HasListId.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HasListId.scala new file mode 100644 index 000000000..ece09a0d4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HasListId.scala @@ -0,0 +1,8 @@ +package com.twitter.home_mixer.model.request + +/** + * [[HasListId]] enables shared components to access the list id shared by all list timeline products. + */ +trait HasListId { + def listId: Long +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HasSeenTweetIds.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HasSeenTweetIds.scala new file mode 100644 index 000000000..0ec657384 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HasSeenTweetIds.scala @@ -0,0 +1,9 @@ +package com.twitter.home_mixer.model.request + +/** + * [[HasSeenTweetIds]] enables shared components to access the list of impressed tweet IDs + * sent by clients across different Home Mixer query types (e.g. FollowingQuery, ForYouQuery) + */ +trait HasSeenTweetIds { + def seenTweetIds: Option[Seq[Long]] +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerDebugOptions.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerDebugOptions.scala new file mode 100644 index 000000000..818380946 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerDebugOptions.scala @@ -0,0 +1,8 @@ +package com.twitter.home_mixer.model.request + +import com.twitter.product_mixer.core.model.marshalling.request.DebugOptions +import com.twitter.util.Time + +case class HomeMixerDebugOptions( + override val requestTimeOverride: Option[Time]) + extends DebugOptions diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerProduct.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerProduct.scala new file mode 100644 index 000000000..107f4c243 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerProduct.scala @@ -0,0 +1,35 @@ +package com.twitter.home_mixer.model.request + +import com.twitter.product_mixer.core.model.common.identifier.ProductIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.Product + +/** + * Identifier names on products can be used to create Feature Switch rules by product, + * which useful if bucketing occurs in a component shared by multiple products. + * @see [[Product.identifier]] + */ + +case object FollowingProduct extends Product { + override val identifier: ProductIdentifier = ProductIdentifier("Following") + override val stringCenterProject: Option[String] = Some("timelinemixer") +} + +case object ForYouProduct extends Product { + override val identifier: ProductIdentifier = ProductIdentifier("ForYou") + override val stringCenterProject: Option[String] = Some("timelinemixer") +} + +case object ScoredTweetsProduct extends Product { + override val identifier: ProductIdentifier = ProductIdentifier("ScoredTweets") + override val stringCenterProject: Option[String] = Some("timelinemixer") +} + +case object ListTweetsProduct extends Product { + override val identifier: ProductIdentifier = ProductIdentifier("ListTweets") + override val stringCenterProject: Option[String] = Some("timelinemixer") +} + +case object ListRecommendedUsersProduct extends Product { + override val identifier: ProductIdentifier = ProductIdentifier("ListRecommendedUsers") + override val stringCenterProject: Option[String] = Some("timelinemixer") +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerProductContext.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerProductContext.scala new file mode 100644 index 000000000..9f3ec4cb7 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerProductContext.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.model.request + +import com.twitter.dspbidder.commons.thriftscala.DspClientContext +import com.twitter.product_mixer.core.model.marshalling.request.ProductContext + +case class FollowingProductContext( + deviceContext: Option[DeviceContext], + seenTweetIds: Option[Seq[Long]], + dspClientContext: Option[DspClientContext]) + extends ProductContext + +case class ForYouProductContext( + deviceContext: Option[DeviceContext], + seenTweetIds: Option[Seq[Long]], + dspClientContext: Option[DspClientContext]) + extends ProductContext + +case class ScoredTweetsProductContext( + deviceContext: Option[DeviceContext], + seenTweetIds: Option[Seq[Long]], + servedTweetIds: Option[Seq[Long]]) + extends ProductContext + +case class ListTweetsProductContext( + listId: Long, + deviceContext: Option[DeviceContext], + dspClientContext: Option[DspClientContext]) + extends ProductContext + +case class ListRecommendedUsersProductContext( + listId: Long, + selectedUserIds: Option[Seq[Long]], + excludedUserIds: Option[Seq[Long]]) + extends ProductContext diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerRequest.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerRequest.scala new file mode 100644 index 000000000..34595c34c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request/HomeMixerRequest.scala @@ -0,0 +1,19 @@ +package com.twitter.home_mixer.model.request + +import com.twitter.product_mixer.core.model.marshalling.request.ClientContext +import com.twitter.product_mixer.core.model.marshalling.request.DebugParams +import com.twitter.product_mixer.core.model.marshalling.request.Product +import com.twitter.product_mixer.core.model.marshalling.request.ProductContext +import com.twitter.product_mixer.core.model.marshalling.request.Request + +case class HomeMixerRequest( + override val clientContext: ClientContext, + override val product: Product, + // Product-specific parameters should be placed in the Product Context + override val productContext: Option[ProductContext], + override val serializedRequestCursor: Option[String], + override val maxResults: Option[Int], + override val debugParams: Option[DebugParams], + // Parameters that apply to all products can be promoted to the request-level + homeRequestParam: Boolean) + extends Request diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/AdvertiserBrandSafetySettingsStoreModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/AdvertiserBrandSafetySettingsStoreModule.scala new file mode 100644 index 000000000..d095d2054 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/AdvertiserBrandSafetySettingsStoreModule.scala @@ -0,0 +1,56 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides + +import com.twitter.adserver.{thriftscala => ads} +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storage.client.manhattan.kv.Guarantee +import com.twitter.storehaus.ReadableStore +import com.twitter.storehaus_internal.manhattan.ManhattanCluster +import com.twitter.storehaus_internal.manhattan.ManhattanClusters +import com.twitter.timelines.clients.ads.AdvertiserBrandSafetySettingsStore +import com.twitter.timelines.clients.manhattan.mhv3.ManhattanClientBuilder +import com.twitter.timelines.clients.manhattan.mhv3.ManhattanClientConfigWithDataset +import com.twitter.util.Duration + +import javax.inject.Singleton + +object AdvertiserBrandSafetySettingsStoreModule extends TwitterModule { + + @Provides + @Singleton + def providesAdvertiserBrandSafetySettingsStore( + injectedServiceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): ReadableStore[Long, ads.AdvertiserBrandSafetySettings] = { + val advertiserBrandSafetySettingsManhattanClientConfig = new ManhattanClientConfigWithDataset { + override val cluster: ManhattanCluster = ManhattanClusters.apollo + override val appId: String = "brand_safety_apollo" + override val dataset = "advertiser_brand_safety_settings" + override val statsScope: String = "AdvertiserBrandSafetySettingsManhattanClient" + override val defaultGuarantee = Guarantee.Weak + override val defaultMaxTimeout: Duration = 100.milliseconds + override val maxRetryCount: Int = 1 + override val isReadOnly: Boolean = true + override val serviceIdentifier: ServiceIdentifier = injectedServiceIdentifier + } + + val advertiserBrandSafetySettingsManhattanEndpoint = ManhattanClientBuilder + .buildManhattanEndpoint(advertiserBrandSafetySettingsManhattanClientConfig, statsReceiver) + + val advertiserBrandSafetySettingsStore: ReadableStore[Long, ads.AdvertiserBrandSafetySettings] = + AdvertiserBrandSafetySettingsStore + .cached( + advertiserBrandSafetySettingsManhattanEndpoint, + advertiserBrandSafetySettingsManhattanClientConfig.dataset, + ttl = 60.minutes, + maxKeys = 100000, + windowSize = 10L + )(statsReceiver) + + advertiserBrandSafetySettingsStore + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/BUILD.bazel new file mode 100644 index 000000000..651d2f1d8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/BUILD.bazel @@ -0,0 +1,87 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:scrooge", + "3rdparty/jvm/com/twitter/bijection:thrift", + "3rdparty/jvm/com/twitter/src/java/com/twitter/logpipeline/client:logpipeline-event-publisher-thin", + "3rdparty/jvm/com/twitter/storehaus:core", + "3rdparty/jvm/io/netty:netty4-tcnative-boringssl-static", + "eventbus/client/src/main/scala/com/twitter/eventbus/client", + "finagle-internal/finagle-grpc/src/main/scala", + "finagle-internal/mtls/src/main/scala/com/twitter/finagle/mtls/authentication", + "finagle-internal/mtls/src/main/scala/com/twitter/finagle/mtls/client", + "finagle/finagle-core/src/main", + "finagle/finagle-memcached/src/main/scala", + "finagle/finagle-mux/src/main/scala", + "finagle/finagle-thriftmux/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "hermit/hermit-core/src/main/scala/com/twitter/hermit/store/common", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/store", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "interests-service/thrift/src/main/thrift:thrift-scala", + "people-discovery/api/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/module", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/manhattan_client", + "product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/memcached_client", + "product-mixer/shared-library/src/main/scala/com/twitter/product_mixer/shared_library/thrift_client", + "servo/client/src/main/scala/com/twitter/servo/client", + "servo/manhattan", + "servo/util", + "socialgraph/server/src/main/scala/com/twitter/socialgraph/util", + "src/scala/com/twitter/ml/featurestore/lib", + "src/scala/com/twitter/scalding_internal/multiformat/format", + "src/scala/com/twitter/storehaus_internal", + "src/scala/com/twitter/summingbird_internal/bijection:bijection-implicits", + "src/scala/com/twitter/timelines/util", + "src/thrift/com/twitter/ads/adserver:adserver_rpc-scala", + "src/thrift/com/twitter/clientapp/gen:clientapp-scala", + "src/thrift/com/twitter/hermit/candidate:hermit-candidate-scala", + "src/thrift/com/twitter/manhattan:v1-scala", + "src/thrift/com/twitter/manhattan:v2-scala", + "src/thrift/com/twitter/onboarding/relevance/features:features-java", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/socialgraph:thrift-scala", + "src/thrift/com/twitter/timelines/author_features:thrift-java", + "src/thrift/com/twitter/timelines/impression_bloom_filter:thrift-scala", + "src/thrift/com/twitter/timelines/impression_store:thrift-scala", + "src/thrift/com/twitter/timelines/real_graph:real_graph-scala", + "src/thrift/com/twitter/timelines/suggests/common:poly_data_record-java", + "src/thrift/com/twitter/timelines/timeline_logging:thrift-scala", + "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", + "src/thrift/com/twitter/topic_recos:topic_recos-thrift-java", + "src/thrift/com/twitter/user_session_store:thrift-java", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + "stitch/stitch-socialgraph", + "stitch/stitch-tweetypie", + "strato/src/main/scala/com/twitter/strato/client", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/feedback", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/manhattan", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/persistence", + "timelines:decider", + "timelines/src/main/scala/com/twitter/timelines/clients/ads", + "timelines/src/main/scala/com/twitter/timelines/clients/manhattan", + "timelines/src/main/scala/com/twitter/timelines/clients/manhattan/store", + "timelines/src/main/scala/com/twitter/timelines/clients/predictionservice", + "timelines/src/main/scala/com/twitter/timelines/clients/strato", + "timelines/src/main/scala/com/twitter/timelines/clients/strato/twistly", + "timelines/src/main/scala/com/twitter/timelines/config", + "timelines/src/main/scala/com/twitter/timelines/impressionstore/impressionbloomfilter", + "timelines/src/main/scala/com/twitter/timelines/impressionstore/store", + "timelines/src/main/scala/com/twitter/timelines/util/stats", + "timelineservice/common/src/main/scala/com/twitter/timelineservice/model", + "tweetconvosvc/client/src/main/scala/com/twitter/tweetconvosvc/client/builder", + "twitter-config/yaml", + ], + exports = [ + "timelines/src/main/scala/com/twitter/timelines/clients/predictionservice", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ClientSentImpressionsPublisherModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ClientSentImpressionsPublisherModule.scala new file mode 100644 index 000000000..f7c5e9bc7 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ClientSentImpressionsPublisherModule.scala @@ -0,0 +1,48 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.eventbus.client.EventBusPublisher +import com.twitter.eventbus.client.EventBusPublisherBuilder +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.timelines.config.ConfigUtils +import com.twitter.timelines.config.Env +import com.twitter.timelines.impressionstore.thriftscala.PublishedImpressionList +import javax.inject.Singleton + +object ClientSentImpressionsPublisherModule extends TwitterModule with ConfigUtils { + private val serviceName = "home-mixer" + + @Singleton + @Provides + def providesClientSentImpressionsPublisher( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): EventBusPublisher[PublishedImpressionList] = { + val env = serviceIdentifier.environment.toLowerCase match { + case "prod" => Env.prod + case "staging" => Env.staging + case "local" => Env.local + case _ => Env.devel + } + + val streamName = env match { + case Env.prod => "timelinemixer_client_sent_impressions_prod" + case _ => "timelinemixer_client_sent_impressions_devel" + } + + EventBusPublisherBuilder() + .clientId(clientIdWithScopeOpt(serviceName, env)) + .serviceIdentifier(serviceIdentifier) + .streamName(streamName) + .statsReceiver(statsReceiver.scope("eventbus")) + .thriftStruct(PublishedImpressionList) + .tcpConnectTimeout(20.milliseconds) + .connectTimeout(100.milliseconds) + .requestTimeout(1.second) + .publishTimeout(1.second) + .build() + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ConversationServiceModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ConversationServiceModule.scala new file mode 100644 index 000000000..9a7d8771c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ConversationServiceModule.scala @@ -0,0 +1,37 @@ +package com.twitter.home_mixer.module + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.thriftmux.MethodBuilder +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.tweetconvosvc.thriftscala.ConversationService +import com.twitter.util.Duration +import org.apache.thrift.protocol.TCompactProtocol + +object ConversationServiceModule + extends ThriftMethodBuilderClientModule[ + ConversationService.ServicePerEndpoint, + ConversationService.MethodPerEndpoint + ] + with MtlsClient { + + override val label: String = "tweetconvosvc" + override val dest: String = "/s/tweetconvosvc/tweetconvosvc" + + override protected def configureMethodBuilder( + injector: Injector, + methodBuilder: MethodBuilder + ): MethodBuilder = methodBuilder.withTimeoutPerRequest(100.milliseconds) + + override def configureThriftMuxClient( + injector: Injector, + client: ThriftMux.Client + ): ThriftMux.Client = + super + .configureThriftMuxClient(injector, client) + .withProtocolFactory(new TCompactProtocol.Factory()) + + override protected def sessionAcquisitionTimeout: Duration = 500.milliseconds +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/FeedbackHistoryClientModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/FeedbackHistoryClientModule.scala new file mode 100644 index 000000000..83093de45 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/FeedbackHistoryClientModule.scala @@ -0,0 +1,39 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.timelinemixer.clients.feedback.FeedbackHistoryManhattanClient +import com.twitter.timelinemixer.clients.feedback.FeedbackHistoryManhattanClientConfig +import com.twitter.timelines.clients.manhattan.mhv3.ManhattanClientBuilder +import javax.inject.Singleton + +object FeedbackHistoryClientModule extends TwitterModule { + private val ProdDataset = "feedback_history" + private val StagingDataset = "feedback_history_nonprod" + + @Provides + @Singleton + def providesFeedbackHistoryClient( + serviceId: ServiceIdentifier, + statsReceiver: StatsReceiver + ) = { + val manhattanDataset = serviceId.environment.toLowerCase match { + case "prod" => ProdDataset + case _ => StagingDataset + } + + val config = new FeedbackHistoryManhattanClientConfig { + val dataset = manhattanDataset + val isReadOnly = true + val serviceIdentifier = serviceId + } + + new FeedbackHistoryManhattanClient( + ManhattanClientBuilder.buildManhattanEndpoint(config, statsReceiver), + manhattanDataset, + statsReceiver + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeAdsCandidateSourceModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeAdsCandidateSourceModule.scala new file mode 100644 index 000000000..73e1500a0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeAdsCandidateSourceModule.scala @@ -0,0 +1,32 @@ +package com.twitter.home_mixer.module + +import com.twitter.adserver.thriftscala.NewAdServer +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.thriftmux.MethodBuilder +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.util.Duration + +object HomeAdsCandidateSourceModule + extends ThriftMethodBuilderClientModule[ + NewAdServer.ServicePerEndpoint, + NewAdServer.MethodPerEndpoint + ] + with MtlsClient { + + override val label = "adserver" + override val dest = "/s/ads/adserver" + + override protected def configureMethodBuilder( + injector: Injector, + methodBuilder: MethodBuilder + ): MethodBuilder = { + methodBuilder + .withTimeoutPerRequest(1200.milliseconds) + .withTimeoutTotal(1200.milliseconds) + .withMaxRetries(2) + } + + override protected def sessionAcquisitionTimeout: Duration = 150.milliseconds +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeMixerFlagsModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeMixerFlagsModule.scala new file mode 100644 index 000000000..4031596a7 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeMixerFlagsModule.scala @@ -0,0 +1,53 @@ +package com.twitter.home_mixer.module + +import com.twitter.conversions.DurationOps.RichDuration +import com.twitter.home_mixer.param.HomeMixerFlagName +import com.twitter.inject.TwitterModule +import com.twitter.util.Duration + +object HomeMixerFlagsModule extends TwitterModule { + + import HomeMixerFlagName._ + + flag[Boolean]( + name = ScribeClientEventsFlag, + default = false, + help = "Toggles logging client events to Scribe" + ) + + flag[Boolean]( + name = ScribeServedEntriesFlag, + default = false, + help = "Toggles logging served entries to Scribe" + ) + + flag[Boolean]( + name = ScribeServedCommonFeaturesAndCandidateFeaturesFlag, + default = false, + help = "Toggles logging served common features and candidates features to Scribe" + ) + + flag[String]( + name = DataRecordMetadataStoreConfigsYmlFlag, + default = "", + help = "The YML file that contains the necessary info for creating metadata store MySQL client." + ) + + flag[String]( + name = DarkTrafficFilterDeciderKey, + default = "dark_traffic_filter", + help = "Dark traffic filter decider key" + ) + + flag[Duration]( + TargetFetchLatency, + 300.millis, + "Target fetch latency from candidate sources for Quality Factor" + ) + + flag[Duration]( + TargetScoringLatency, + 700.millis, + "Target scoring latency for Quality Factor" + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeMixerResourcesModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeMixerResourcesModule.scala new file mode 100644 index 000000000..d4bfab221 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeMixerResourcesModule.scala @@ -0,0 +1,18 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.config.yaml.YamlMap +import com.twitter.home_mixer.param.HomeMixerInjectionNames.DDGStatsAuthors +import com.twitter.inject.TwitterModule +import javax.inject.Named +import javax.inject.Singleton + +object HomeMixerResourcesModule extends TwitterModule { + + private val AuthorsFile = "/config/authors.yml" + + @Provides + @Singleton + @Named(DDGStatsAuthors) + def providesDDGStatsAuthors(): YamlMap = YamlMap.load(AuthorsFile) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeNaviModelClientModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeNaviModelClientModule.scala new file mode 100644 index 000000000..df70592c2 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/HomeNaviModelClientModule.scala @@ -0,0 +1,52 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.Http +import com.twitter.finagle.grpc.FinagleChannelBuilder +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient.MtlsStackClientSyntax +import com.twitter.inject.TwitterModule +import com.twitter.timelines.clients.predictionservice.PredictionGRPCService +import com.twitter.util.Duration +import io.grpc.ManagedChannel + +import javax.inject.Singleton + +object HomeNaviModelClientModule extends TwitterModule { + + @Singleton + @Provides + def providesPredictionGRPCService( + serviceIdentifier: ServiceIdentifier, + ): PredictionGRPCService = { + // Wily path to the ML Model service (e.g. /s/ml-serving/navi-explore-ranker). + val modelPath = "/s/ml-serving/navi_home_recap_onnx" + + // timeout for prediction service requests. + val MaxPredictionTimeoutMs: Duration = 300.millis + val ConnectTimeoutMs: Duration = 200.millis + val AcquisitionTimeoutMs: Duration = 20000.millis + val MaxRetryAttempts: Int = 2 + + val client = Http.client + .withLabel(modelPath) + .withMutualTls(serviceIdentifier) + .withRequestTimeout(MaxPredictionTimeoutMs) + .withTransport.connectTimeout(ConnectTimeoutMs) + .withSession.acquisitionTimeout(AcquisitionTimeoutMs) + .withHttpStats + + val channel: ManagedChannel = FinagleChannelBuilder + .forTarget(modelPath) + .overrideAuthority("rustserving") + .maxRetryAttempts(MaxRetryAttempts) + .enableRetryForStatus(io.grpc.Status.RESOURCE_EXHAUSTED) + .enableRetryForStatus(io.grpc.Status.UNKNOWN) + .enableUnsafeFullyBufferingMode() + .httpClient(client) + .build() + + new PredictionGRPCService(channel) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ImpressionBloomFilterModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ImpressionBloomFilterModule.scala new file mode 100644 index 000000000..cb339a1d5 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ImpressionBloomFilterModule.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storage.client.manhattan.kv.Guarantee +import com.twitter.storehaus_internal.manhattan.ManhattanClusters +import com.twitter.timelines.clients.manhattan.store._ +import com.twitter.timelines.impressionstore.impressionbloomfilter.ImpressionBloomFilter +import com.twitter.timelines.impressionstore.impressionbloomfilter.ImpressionBloomFilterManhattanKeyValueDescriptor +import javax.inject.Singleton + +object ImpressionBloomFilterModule extends TwitterModule { + + private val ProdAppId = "impression_bloom_filter_store" + private val ProdDataset = "impression_bloom_filter" + private val StagingAppId = "impression_bloom_filter_store_staging" + private val StagingDataset = "impression_bloom_filter_staging" + private val ClientStatsScope = "tweetBloomFilterImpressionManhattanClient" + private val DefaultTTL = 7.days + + @Provides + @Singleton + def providesImpressionBloomFilter( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): ImpressionBloomFilter = { + val (appId, dataset) = serviceIdentifier.environment.toLowerCase match { + case "prod" => (ProdAppId, ProdDataset) + case _ => (StagingAppId, StagingDataset) + } + + implicit val manhattanKeyValueDescriptor = ImpressionBloomFilterManhattanKeyValueDescriptor( + dataset = dataset, + ttl = DefaultTTL + ) + + val manhattanClient = ManhattanStoreClientBuilder.buildManhattanClient( + serviceIdentifier = serviceIdentifier, + cluster = ManhattanClusters.nash, + appId = appId, + defaultMaxTimeout = 100.milliseconds, + maxRetryCount = 2, + defaultGuarantee = Some(Guarantee.SoftDcReadMyWrites), + isReadOnly = false, + statsScope = ClientStatsScope, + statsReceiver = statsReceiver + ) + + ImpressionBloomFilter(manhattanClient) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/InjectionHistoryClientModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/InjectionHistoryClientModule.scala new file mode 100644 index 000000000..fe274ff1d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/InjectionHistoryClientModule.scala @@ -0,0 +1,88 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.ThriftMux +import com.twitter.finagle.builder.ClientBuilder +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.mtls.client.MtlsStackClient._ +import com.twitter.finagle.service.RetryPolicy +import com.twitter.finagle.ssl.OpportunisticTls +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.manhattan.v2.thriftscala.{ManhattanCoordinator => ManhattanV2} +import com.twitter.timelinemixer.clients.manhattan.InjectionHistoryClient +import com.twitter.timelinemixer.clients.manhattan.ManhattanDatasetConfig +import com.twitter.timelines.clients.manhattan.Dataset +import com.twitter.timelines.clients.manhattan.ManhattanClient +import com.twitter.timelines.util.stats.RequestScope +import javax.inject.Singleton +import org.apache.thrift.protocol.TBinaryProtocol +import com.twitter.timelines.config.TimelinesUnderlyingClientConfiguration.ConnectTimeout +import com.twitter.timelines.config.TimelinesUnderlyingClientConfiguration.TCPConnectTimeout + +object InjectionHistoryClientModule extends TwitterModule { + private val ProdDataset = "suggestion_history" + private val StagingDataset = "suggestion_history_nonprod" + private val AppId = "twitter_suggests" + private val ServiceName = "manhattan.omega" + private val OmegaManhattanDest = "/s/manhattan/omega.native-thrift" + private val InjectionRequestScope = RequestScope("injectionHistoryClient") + private val RequestTimeout = 75.millis + private val Timeout = 150.millis + + val retryPolicy = RetryPolicy.tries( + 2, + RetryPolicy.TimeoutAndWriteExceptionsOnly + .orElse(RetryPolicy.ChannelClosedExceptionsOnly)) + + @Provides + @Singleton + def providesInjectionHistoryClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ) = { + val dataset = serviceIdentifier.environment.toLowerCase match { + case "prod" => ProdDataset + case _ => StagingDataset + } + + val thriftMuxClient = ClientBuilder() + .name(ServiceName) + .daemon(daemonize = true) + .failFast(enabled = true) + .retryPolicy(retryPolicy) + .tcpConnectTimeout(TCPConnectTimeout) + .connectTimeout(ConnectTimeout) + .dest(OmegaManhattanDest) + .requestTimeout(RequestTimeout) + .timeout(Timeout) + .stack(ThriftMux.client + .withMutualTls(serviceIdentifier) + .withOpportunisticTls(OpportunisticTls.Required)) + .build() + + val manhattanOmegaClient = new ManhattanV2.FinagledClient( + service = thriftMuxClient, + protocolFactory = new TBinaryProtocol.Factory(), + serviceName = ServiceName, + ) + + val readOnlyMhClient = new ManhattanClient( + appId = AppId, + manhattan = manhattanOmegaClient, + requestScope = InjectionRequestScope, + serviceName = ServiceName, + statsReceiver = statsReceiver + ).readOnly + + val mhDatasetConfig = new ManhattanDatasetConfig { + override val SuggestionHistoryDataset = Dataset(dataset) + } + + new InjectionHistoryClient( + readOnlyMhClient, + mhDatasetConfig + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanClientsModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanClientsModule.scala new file mode 100644 index 000000000..5bdbf9e97 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanClientsModule.scala @@ -0,0 +1,56 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealGraphManhattanEndpoint +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserMetadataManhattanEndpoint +import com.twitter.inject.TwitterModule +import com.twitter.storage.client.manhattan.kv._ +import com.twitter.timelines.config.ConfigUtils +import com.twitter.util.Duration +import javax.inject.Named +import javax.inject.Singleton + +object ManhattanClientsModule extends TwitterModule with ConfigUtils { + + private val starbuckDest: String = "/s/manhattan/starbuck.native-thrift" + private val apolloDest: String = "/s/manhattan/apollo.native-thrift" + + @Provides + @Singleton + @Named(RealGraphManhattanEndpoint) + def providesRealGraphManhattanEndpoint( + serviceIdentifier: ServiceIdentifier + ): ManhattanKVEndpoint = { + lazy val client = ManhattanKVClient( + appId = "real_graph", + dest = apolloDest, + mtlsParams = ManhattanKVClientMtlsParams(serviceIdentifier = serviceIdentifier), + label = "real-graph-data" + ) + + ManhattanKVEndpointBuilder(client) + .maxRetryCount(2) + .defaultMaxTimeout(Duration.fromMilliseconds(100)) + .build() + } + + @Provides + @Singleton + @Named(UserMetadataManhattanEndpoint) + def providesUserMetadataManhattanEndpoint( + serviceIdentifier: ServiceIdentifier + ): ManhattanKVEndpoint = { + val client = ManhattanKVClient( + appId = "user_metadata", + dest = starbuckDest, + mtlsParams = ManhattanKVClientMtlsParams(serviceIdentifier = serviceIdentifier), + label = "user-metadata" + ) + + ManhattanKVEndpointBuilder(client) + .maxRetryCount(1) + .defaultMaxTimeout(Duration.fromMilliseconds(70)) + .build() + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanFeatureRepositoryModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanFeatureRepositoryModule.scala new file mode 100644 index 000000000..f9afc1dcb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanFeatureRepositoryModule.scala @@ -0,0 +1,453 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.bijection.Injection +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.bijection.scrooge.CompactScalaCodec +import com.twitter.bijection.thrift.ThriftCodec +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.home_mixer.param.HomeMixerInjectionNames._ +import com.twitter.home_mixer.util.InjectionTransformerImplicits._ +import com.twitter.home_mixer.util.TensorFlowUtil +import com.twitter.inject.TwitterModule +import com.twitter.manhattan.v1.thriftscala.ManhattanCoordinator +import com.twitter.manhattan.v1.{thriftscala => mh} +import com.twitter.ml.api.thriftscala.FloatTensor +import com.twitter.ml.api.{thriftscala => ml} +import com.twitter.ml.featurestore.lib.UserId +import com.twitter.ml.featurestore.thriftscala.EntityId +import com.twitter.onboarding.relevance.features.{thriftjava => rf} +import com.twitter.product_mixer.shared_library.manhattan_client.ManhattanClientBuilder +import com.twitter.scalding_internal.multiformat.format.keyval.KeyValInjection.ScalaBinaryThrift +import com.twitter.servo.cache._ +import com.twitter.servo.manhattan.ManhattanKeyValueRepository +import com.twitter.servo.repository.CachingKeyValueRepository +import com.twitter.servo.repository.ChunkingStrategy +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.servo.repository.Repository +import com.twitter.servo.repository.keysAsQuery +import com.twitter.servo.util.Transformer +import com.twitter.storehaus_internal.manhattan.ManhattanClusters +import com.twitter.timelines.author_features.v1.{thriftjava => af} +import com.twitter.timelines.suggests.common.dense_data_record.thriftscala.DenseFeatureMetadata +import com.twitter.user_session_store.thriftscala.UserSession +import com.twitter.user_session_store.{thriftjava => uss} +import com.twitter.util.Duration +import com.twitter.util.Try +import java.nio.ByteBuffer +import javax.inject.Named +import javax.inject.Singleton +import org.apache.thrift.protocol.TCompactProtocol +import org.apache.thrift.transport.TMemoryInputTransport +import org.apache.thrift.transport.TTransport + +object ManhattanFeatureRepositoryModule extends TwitterModule { + + private val DEFAULT_RPC_CHUNK_SIZE = 50 + + private val ThriftEntityIdInjection = ScalaBinaryThrift(EntityId) + + val UserIdKeyTransformer = new Transformer[Long, ByteBuffer] { + override def to(userId: Long): Try[ByteBuffer] = { + Try(ByteBuffer.wrap(ThriftEntityIdInjection.apply(UserId(userId).toThrift))) + } + override def from(b: ByteBuffer): Try[Long] = ??? + } + + val FloatTensorTransformer = new Transformer[ByteBuffer, FloatTensor] { + override def to(input: ByteBuffer): Try[FloatTensor] = { + val floatTensor = TensorFlowUtil.embeddingByteBufferToFloatTensor(input) + Try(floatTensor) + } + + override def from(b: FloatTensor): Try[ByteBuffer] = ??? + } + + // manhattan clients + + @Provides + @Singleton + @Named(ManhattanApolloClient) + def providesManhattanApolloClient( + serviceIdentifier: ServiceIdentifier + ): mh.ManhattanCoordinator.MethodPerEndpoint = { + ManhattanClientBuilder + .buildManhattanV1FinagleClient( + ManhattanClusters.apollo, + serviceIdentifier + ) + } + + @Provides + @Singleton + @Named(ManhattanAthenaClient) + def providesManhattanAthenaClient( + serviceIdentifier: ServiceIdentifier + ): mh.ManhattanCoordinator.MethodPerEndpoint = { + ManhattanClientBuilder + .buildManhattanV1FinagleClient( + ManhattanClusters.athena, + serviceIdentifier + ) + } + + @Provides + @Singleton + @Named(ManhattanOmegaClient) + def providesManhattanOmegaClient( + serviceIdentifier: ServiceIdentifier + ): mh.ManhattanCoordinator.MethodPerEndpoint = { + ManhattanClientBuilder + .buildManhattanV1FinagleClient( + ManhattanClusters.omega, + serviceIdentifier + ) + } + + @Provides + @Singleton + @Named(ManhattanStarbuckClient) + def providesManhattanStarbuckClient( + serviceIdentifier: ServiceIdentifier + ): mh.ManhattanCoordinator.MethodPerEndpoint = { + ManhattanClientBuilder + .buildManhattanV1FinagleClient( + ManhattanClusters.starbuck, + serviceIdentifier + ) + } + + // non-cached manhattan repositories + + @Provides + @Singleton + @Named(MetricCenterUserCountingFeatureRepository) + def providesMetricCenterUserCountingFeatureRepository( + @Named(ManhattanStarbuckClient) client: mh.ManhattanCoordinator.MethodPerEndpoint + ): KeyValueRepository[Seq[Long], Long, rf.MCUserCountingFeatures] = { + + val keyTransformer = Injection + .connect[Long, Array[Byte]] + .toByteBufferTransformer() + + val valueTransformer = ThriftCodec + .toCompact[rf.MCUserCountingFeatures] + .toByteBufferTransformer() + .flip + + batchedManhattanKeyValueRepository[Long, rf.MCUserCountingFeatures]( + client = client, + keyTransformer = keyTransformer, + valueTransformer = valueTransformer, + appId = "wtf_ml", + dataset = "mc_user_counting_features_v0_starbuck", + timeoutInMillis = 100 + ) + } + + /** + * A repository of the offline aggregate feature metadata necessary to decode + * DenseCompactDataRecords. + * + * This repository is expected to virtually always pick up the metadata form the local cache with + * nearly 0 latency. + */ + @Provides + @Singleton + @Named(TimelineAggregateMetadataRepository) + def providesTimelineAggregateMetadataRepository( + @Named(ManhattanAthenaClient) client: mh.ManhattanCoordinator.MethodPerEndpoint + ): Repository[Int, Option[DenseFeatureMetadata]] = { + + val keyTransformer = Injection + .connect[Int, Array[Byte]] + .toByteBufferTransformer() + + val valueTransformer = new Transformer[ByteBuffer, DenseFeatureMetadata] { + private val compactProtocolFactory = new TCompactProtocol.Factory + + def to(buffer: ByteBuffer): Try[DenseFeatureMetadata] = Try { + val transport = transportFromByteBuffer(buffer) + DenseFeatureMetadata.decode(compactProtocolFactory.getProtocol(transport)) + } + + // Encoding intentionally not implemented as it is never used + def from(metadata: DenseFeatureMetadata): Try[ByteBuffer] = ??? + } + + val inProcessCache: Cache[Int, Cached[DenseFeatureMetadata]] = InProcessLruCacheFactory( + ttl = Duration.fromMinutes(20), + lruSize = 30 + ).apply(serializer = Transformer(_ => ???, _ => ???)) // Serialization is not necessary here. + + val keyValueRepository = new ManhattanKeyValueRepository( + client = client, + keyTransformer = keyTransformer, + valueTransformer = valueTransformer, + appId = "timelines_dense_aggregates_encoding_metadata", // Expected QPS is negligible. + dataset = "user_session_dense_feature_metadata", + timeoutInMillis = 100 + ) + + KeyValueRepository + .singular( + new CachingKeyValueRepository[Seq[Int], Int, DenseFeatureMetadata]( + keyValueRepository, + new NonLockingCache(inProcessCache), + keysAsQuery[Int] + ) + ) + } + + @Provides + @Singleton + @Named(RealGraphFeatureRepository) + def providesRealGraphFeatureRepository( + @Named(ManhattanApolloClient) client: mh.ManhattanCoordinator.MethodPerEndpoint + ): Repository[Long, Option[UserSession]] = { + val valueTransformer = CompactScalaCodec(UserSession).toByteBufferTransformer().flip + + KeyValueRepository.singular( + new ManhattanKeyValueRepository( + client = client, + keyTransformer = UserIdKeyTransformer, + valueTransformer = valueTransformer, + appId = "real_graph", + dataset = "real_graph_user_features", + timeoutInMillis = 100, + ) + ) + } + + // cached manhattan repositories + + @Provides + @Singleton + @Named(AuthorFeatureRepository) + def providesAuthorFeatureRepository( + @Named(ManhattanAthenaClient) client: mh.ManhattanCoordinator.MethodPerEndpoint, + @Named(HomeAuthorFeaturesCacheClient) cacheClient: Memcache + ): KeyValueRepository[Seq[Long], Long, af.AuthorFeatures] = { + + val keyTransformer = Injection + .connect[Long, Array[Byte]] + .toByteBufferTransformer() + + val valueInjection = ThriftCodec + .toCompact[af.AuthorFeatures] + + val keyValueRepository = batchedManhattanKeyValueRepository( + client = client, + keyTransformer = keyTransformer, + valueTransformer = valueInjection.toByteBufferTransformer().flip, + appId = "timelines_author_feature_store_athena", + dataset = "timelines_author_features", + timeoutInMillis = 100 + ) + + val remoteCacheRepo = buildMemCachedRepository( + keyValueRepository = keyValueRepository, + cacheClient = cacheClient, + cachePrefix = "AuthorFeatureHydrator", + ttl = 12.hours, + valueInjection = valueInjection) + + buildInProcessCachedRepository( + keyValueRepository = remoteCacheRepo, + ttl = 15.minutes, + size = 8000, + valueInjection = valueInjection + ) + } + + @Provides + @Singleton + @Named(TwhinAuthorFollow20200101FeatureRepository) + def providesTwhinAuthorFollow20200101FeatureRepository( + @Named(ManhattanApolloClient) client: mh.ManhattanCoordinator.MethodPerEndpoint, + @Named(TwhinAuthorFollow20200101FeatureCacheClient) cacheClient: Memcache + ): KeyValueRepository[Seq[Long], Long, ml.Embedding] = { + + val keyTransformer = Injection + .connect[Long, Array[Byte]] + .toByteBufferTransformer() + + val valueInjection: Injection[ml.Embedding, Array[Byte]] = + BinaryScalaCodec(ml.Embedding) + + val keyValueRepository = batchedManhattanKeyValueRepository( + client = client, + keyTransformer = keyTransformer, + valueTransformer = valueInjection.toByteBufferTransformer().flip, + appId = "twhin", + dataset = "twhinauthor_follow_0101", + timeoutInMillis = 100 + ) + + buildMemCachedRepository( + keyValueRepository = keyValueRepository, + cacheClient = cacheClient, + cachePrefix = "TwhinAuthorFollow20200101FeatureHydrator", + ttl = 48.hours, + valueInjection = valueInjection + ) + } + + @Provides + @Singleton + @Named(TwhinUserFollowFeatureRepository) + def providesTwhinUserFollowFeatureRepository( + @Named(ManhattanApolloClient) client: mh.ManhattanCoordinator.MethodPerEndpoint + ): KeyValueRepository[Seq[Long], Long, FloatTensor] = { + + batchedManhattanKeyValueRepository( + client = client, + keyTransformer = UserIdKeyTransformer, + valueTransformer = FloatTensorTransformer, + appId = "ml_features_apollo", + dataset = "twhin_user_follow_embedding_fsv1__v1_thrift__embedding", + timeoutInMillis = 100 + ) + } + + @Provides + @Singleton + @Named(TimelineAggregatePartARepository) + def providesTimelineAggregatePartARepository( + @Named(ManhattanApolloClient) client: mh.ManhattanCoordinator.MethodPerEndpoint, + ): Repository[Long, Option[uss.UserSession]] = + timelineAggregateRepository( + mhClient = client, + mhDataset = "timelines_aggregates_v2_features_by_user_part_a_apollo", + mhAppId = "timelines_aggregates_v2_features_by_user_part_a_apollo" + ) + + @Provides + @Singleton + @Named(TimelineAggregatePartBRepository) + def providesTimelineAggregatePartBRepository( + @Named(ManhattanApolloClient) client: mh.ManhattanCoordinator.MethodPerEndpoint, + ): Repository[Long, Option[uss.UserSession]] = + timelineAggregateRepository( + mhClient = client, + mhDataset = "timelines_aggregates_v2_features_by_user_part_b_apollo", + mhAppId = "timelines_aggregates_v2_features_by_user_part_b_apollo" + ) + + @Provides + @Singleton + @Named(TwhinUserEngagementFeatureRepository) + def providesTwhinUserEngagementFeatureRepository( + @Named(ManhattanApolloClient) client: mh.ManhattanCoordinator.MethodPerEndpoint + ): KeyValueRepository[Seq[Long], Long, FloatTensor] = { + + batchedManhattanKeyValueRepository( + client = client, + keyTransformer = UserIdKeyTransformer, + valueTransformer = FloatTensorTransformer, + appId = "ml_features_apollo", + dataset = "twhin_user_engagement_embedding_fsv1__v1_thrift__embedding", + timeoutInMillis = 100 + ) + } + + private def buildMemCachedRepository[K, V]( + keyValueRepository: KeyValueRepository[Seq[K], K, V], + cacheClient: Memcache, + cachePrefix: String, + ttl: Duration, + valueInjection: Injection[V, Array[Byte]] + ): CachingKeyValueRepository[Seq[K], K, V] = { + val cachedSerializer = CachedSerializer.binary( + valueInjection.toByteArrayTransformer() + ) + + val cache = MemcacheCacheFactory( + cacheClient, + ttl, + PrefixKeyTransformerFactory(cachePrefix) + )[K, Cached[V]](cachedSerializer) + + new CachingKeyValueRepository( + keyValueRepository, + new NonLockingCache(cache), + keysAsQuery[K] + ) + } + + private def buildInProcessCachedRepository[K, V]( + keyValueRepository: KeyValueRepository[Seq[K], K, V], + ttl: Duration, + size: Int, + valueInjection: Injection[V, Array[Byte]] + ): CachingKeyValueRepository[Seq[K], K, V] = { + val cachedSerializer = CachedSerializer.binary( + valueInjection.toByteArrayTransformer() + ) + + val cache = InProcessLruCacheFactory( + ttl = ttl, + lruSize = size + )[K, Cached[V]](cachedSerializer) + + new CachingKeyValueRepository( + keyValueRepository, + new NonLockingCache(cache), + keysAsQuery[K] + ) + } + + private def batchedManhattanKeyValueRepository[K, V]( + client: ManhattanCoordinator.MethodPerEndpoint, + keyTransformer: Transformer[K, ByteBuffer], + valueTransformer: Transformer[ByteBuffer, V], + appId: String, + dataset: String, + timeoutInMillis: Int, + chunkSize: Int = DEFAULT_RPC_CHUNK_SIZE + ): KeyValueRepository[Seq[K], K, V] = + KeyValueRepository.chunked( + new ManhattanKeyValueRepository( + client = client, + keyTransformer = keyTransformer, + valueTransformer = valueTransformer, + appId = appId, + dataset = dataset, + timeoutInMillis = timeoutInMillis + ), + chunker = ChunkingStrategy.equalSize(chunkSize) + ) + + private def transportFromByteBuffer(buffer: ByteBuffer): TTransport = + new TMemoryInputTransport( + buffer.array(), + buffer.arrayOffset() + buffer.position(), + buffer.remaining()) + + private def timelineAggregateRepository( + mhClient: mh.ManhattanCoordinator.MethodPerEndpoint, + mhDataset: String, + mhAppId: String + ): Repository[Long, Option[uss.UserSession]] = { + val keyTransformer = Injection + .connect[Long, Array[Byte]] + .toByteBufferTransformer() + + val valueInjection = ThriftCodec + .toCompact[uss.UserSession] + + KeyValueRepository.singular( + new ManhattanKeyValueRepository( + client = mhClient, + keyTransformer = keyTransformer, + valueTransformer = valueInjection.toByteBufferTransformer().flip, + appId = mhAppId, + dataset = mhDataset, + timeoutInMillis = 100 + ) + ) + + } + +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanTweetImpressionStoreModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanTweetImpressionStoreModule.scala new file mode 100644 index 000000000..1f6ae824a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ManhattanTweetImpressionStoreModule.scala @@ -0,0 +1,52 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.storage.client.manhattan.kv.Guarantee +import com.twitter.storehaus_internal.manhattan.ManhattanClusters +import com.twitter.timelines.clients.manhattan.mhv3.ManhattanClientBuilder +import com.twitter.timelines.impressionstore.store.ManhattanTweetImpressionStoreClientConfig +import com.twitter.timelines.impressionstore.store.ManhattanTweetImpressionStoreClient +import javax.inject.Singleton + +object ManhattanTweetImpressionStoreModule extends TwitterModule { + + private val ProdAppId = "timelines_tweet_impression_store_v2" + private val ProdDataset = "timelines_tweet_impressions_v2" + private val StagingAppId = "timelines_tweet_impression_store_staging" + private val StagingDataset = "timelines_tweet_impressions_staging" + private val StatsScope = "manhattanTweetImpressionStoreClient" + private val DefaultTTL = 2.days + + @Provides + @Singleton + def providesManhattanTweetImpressionStoreClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): ManhattanTweetImpressionStoreClient = { + + val (appId, dataset) = serviceIdentifier.environment.toLowerCase match { + case "prod" => (ProdAppId, ProdDataset) + case _ => (StagingAppId, StagingDataset) + } + + val config = ManhattanTweetImpressionStoreClientConfig( + cluster = ManhattanClusters.nash, + appId = appId, + dataset = dataset, + statsScope = StatsScope, + defaultGuarantee = Guarantee.SoftDcReadMyWrites, + defaultMaxTimeout = 100.milliseconds, + maxRetryCount = 2, + isReadOnly = false, + serviceIdentifier = serviceIdentifier, + ttl = DefaultTTL + ) + + val manhattanEndpoint = ManhattanClientBuilder.buildManhattanEndpoint(config, statsReceiver) + ManhattanTweetImpressionStoreClient(config, manhattanEndpoint, statsReceiver) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/MemcachedFeatureRepositoryModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/MemcachedFeatureRepositoryModule.scala new file mode 100644 index 000000000..2f5ce1f5d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/MemcachedFeatureRepositoryModule.scala @@ -0,0 +1,113 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.Memcached +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.HomeAuthorFeaturesCacheClient +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealTimeInteractionGraphUserVertexClient +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TimelinesRealTimeAggregateClient +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TwhinAuthorFollow20200101FeatureCacheClient +import com.twitter.inject.TwitterModule +import com.twitter.product_mixer.shared_library.memcached_client.MemcachedClientBuilder +import com.twitter.servo.cache.FinagleMemcacheFactory +import com.twitter.servo.cache.Memcache +import javax.inject.Named +import javax.inject.Singleton + +object MemcachedFeatureRepositoryModule extends TwitterModule { + + // This must match the respective parameter on the write path. Note that servo sets a different + // hasher by default. See [[com.twitter.hashing.KeyHasher]] for the list of other available + // hashers. + private val memcacheKeyHasher = "ketama" + + @Provides + @Singleton + @Named(TimelinesRealTimeAggregateClient) + def providesTimelinesRealTimeAggregateClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Memcache = { + val rawClient = MemcachedClientBuilder.buildRawMemcachedClient( + numTries = 1, + requestTimeout = 150.milliseconds, + globalTimeout = 150.milliseconds, + connectTimeout = 200.milliseconds, + acquisitionTimeout = 200.milliseconds, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver + ) + + buildMemcacheClient(rawClient, "/s/cache/timelines_real_time_aggregates:twemcaches") + } + + @Provides + @Singleton + @Named(HomeAuthorFeaturesCacheClient) + def providesHomeAuthorFeaturesCacheClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Memcache = { + val cacheClient = MemcachedClientBuilder.buildRawMemcachedClient( + numTries = 1, + requestTimeout = 50.milliseconds, + globalTimeout = 50.milliseconds, + connectTimeout = 200.milliseconds, + acquisitionTimeout = 200.milliseconds, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver + ) + + buildMemcacheClient(cacheClient, "/s/cache/timelines_author_features:twemcaches") + } + + @Provides + @Singleton + @Named(TwhinAuthorFollow20200101FeatureCacheClient) + def providesTwhinAuthorFollow20200101FeatureCacheClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Memcache = { + val cacheClient = MemcachedClientBuilder.buildRawMemcachedClient( + numTries = 1, + requestTimeout = 50.milliseconds, + globalTimeout = 50.milliseconds, + connectTimeout = 200.milliseconds, + acquisitionTimeout = 200.milliseconds, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver + ) + + buildMemcacheClient(cacheClient, "/s/cache/home_twhin_author_features:twemcaches") + } + + @Provides + @Singleton + @Named(RealTimeInteractionGraphUserVertexClient) + def providesRealTimeInteractionGraphUserVertexClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Memcache = { + val cacheClient = MemcachedClientBuilder.buildRawMemcachedClient( + numTries = 1, + requestTimeout = 100.milliseconds, + globalTimeout = 100.milliseconds, + connectTimeout = 200.milliseconds, + acquisitionTimeout = 200.milliseconds, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver + ) + + buildMemcacheClient(cacheClient, "/s/cache/realtime_interactive_graph_prod_v2:twemcaches") + } + + private def buildMemcacheClient(cacheClient: Memcached.Client, dest: String): Memcache = + FinagleMemcacheFactory( + client = cacheClient, + dest = dest, + hashName = memcacheKeyHasher + )() + +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/OptimizedStratoClientModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/OptimizedStratoClientModule.scala new file mode 100644 index 000000000..7575685f1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/OptimizedStratoClientModule.scala @@ -0,0 +1,46 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.service.Retries +import com.twitter.finagle.service.RetryPolicy +import com.twitter.finagle.ssl.OpportunisticTls +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.BatchedStratoClientWithModerateTimeout +import com.twitter.inject.TwitterModule +import com.twitter.strato.client.Client +import com.twitter.strato.client.Strato +import com.twitter.util.Try +import javax.inject.Named +import javax.inject.Singleton + +object OptimizedStratoClientModule extends TwitterModule { + + private val ModerateStratoServerClientRequestTimeout = 150.millis + + private val DefaultRetryPartialFunction: PartialFunction[Try[Nothing], Boolean] = + RetryPolicy.TimeoutAndWriteExceptionsOnly + .orElse(RetryPolicy.ChannelClosedExceptionsOnly) + + protected def mkRetryPolicy(tries: Int): RetryPolicy[Try[Nothing]] = + RetryPolicy.tries(tries, DefaultRetryPartialFunction) + + @Singleton + @Provides + @Named(BatchedStratoClientWithModerateTimeout) + def providesStratoClient( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): Client = { + Strato.client + .withMutualTls(serviceIdentifier, opportunisticLevel = OpportunisticTls.Required) + .withSession.acquisitionTimeout(150.milliseconds) + .withRequestTimeout(ModerateStratoServerClientRequestTimeout) + .withPerRequestTimeout(ModerateStratoServerClientRequestTimeout) + .withRpcBatchSize(5) + .configured(Retries.Policy(mkRetryPolicy(1))) + .withStatsReceiver(statsReceiver.scope("strato_client")) + .build() + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/PeopleDiscoveryServiceModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/PeopleDiscoveryServiceModule.scala new file mode 100644 index 000000000..47353afa7 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/PeopleDiscoveryServiceModule.scala @@ -0,0 +1,35 @@ +package com.twitter.home_mixer.module + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.thriftmux.MethodBuilder +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.peoplediscovery.api.thriftscala.ThriftPeopleDiscoveryService +import com.twitter.util.Duration + +/** + * Copy of com.twitter.product_mixer.component_library.module.PeopleDiscoveryServiceModule + */ +object PeopleDiscoveryServiceModule + extends ThriftMethodBuilderClientModule[ + ThriftPeopleDiscoveryService.ServicePerEndpoint, + ThriftPeopleDiscoveryService.MethodPerEndpoint + ] + with MtlsClient { + + override val label: String = "people-discovery-api" + + override val dest: String = "/s/people-discovery-api/people-discovery-api:thrift" + + override protected def configureMethodBuilder( + injector: Injector, + methodBuilder: MethodBuilder + ): MethodBuilder = { + methodBuilder + .withTimeoutPerRequest(350.millis) + .withTimeoutTotal(350.millis) + } + + override protected def sessionAcquisitionTimeout: Duration = 500.milliseconds +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/PipelineFailureExceptionMapper.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/PipelineFailureExceptionMapper.scala new file mode 100644 index 000000000..65f0ac7bd --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/PipelineFailureExceptionMapper.scala @@ -0,0 +1,29 @@ +package com.twitter.home_mixer.module + +import com.twitter.finatra.thrift.exceptions.ExceptionMapper +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.inject.Logging +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.pipeline.pipeline_failure.ProductDisabled +import com.twitter.scrooge.ThriftException +import com.twitter.util.Future +import javax.inject.Singleton + +@Singleton +class PipelineFailureExceptionMapper + extends ExceptionMapper[PipelineFailure, ThriftException] + with Logging { + + def handleException(throwable: PipelineFailure): Future[ThriftException] = { + throwable match { + // SliceService (unlike UrtService) throws an exception when the requested product is disabled + case PipelineFailure(ProductDisabled, reason, _, _) => + Future.exception( + t.ValidationExceptionList(errors = + Seq(t.ValidationException(t.ValidationErrorCode.ProductDisabled, reason)))) + case _ => + error("Unhandled PipelineFailure", throwable) + Future.exception(throwable) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/RealGraphInNetworkScoresModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/RealGraphInNetworkScoresModule.scala new file mode 100644 index 000000000..7dc6a072d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/RealGraphInNetworkScoresModule.scala @@ -0,0 +1,26 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.google.inject.name.Named +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealGraphInNetworkScores +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealGraphManhattanEndpoint +import com.twitter.home_mixer.store.RealGraphInNetworkScoresStore +import com.twitter.inject.TwitterModule +import com.twitter.storage.client.manhattan.kv.ManhattanKVEndpoint +import com.twitter.storehaus.ReadableStore +import com.twitter.timelines.util.CommonTypes.ViewerId +import com.twitter.wtf.candidate.thriftscala.Candidate + +import javax.inject.Singleton + +object RealGraphInNetworkScoresModule extends TwitterModule { + + @Provides + @Singleton + @Named(RealGraphInNetworkScores) + def providesRealGraphInNetworkScoresFeaturesStore( + @Named(RealGraphManhattanEndpoint) realGraphInNetworkScoresManhattanKVEndpoint: ManhattanKVEndpoint + ): ReadableStore[ViewerId, Seq[Candidate]] = { + new RealGraphInNetworkScoresStore(realGraphInNetworkScoresManhattanKVEndpoint) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/RealtimeAggregateFeatureRepositoryModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/RealtimeAggregateFeatureRepositoryModule.scala new file mode 100644 index 000000000..19512e663 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/RealtimeAggregateFeatureRepositoryModule.scala @@ -0,0 +1,253 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.google.inject.name.Named +import com.twitter.bijection.Injection +import com.twitter.bijection.scrooge.BinaryScalaCodec +import com.twitter.bijection.thrift.ThriftCodec +import com.twitter.home_mixer.param.HomeMixerInjectionNames.EngagementsReceivedByAuthorCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealTimeInteractionGraphUserVertexCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.RealTimeInteractionGraphUserVertexClient +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TimelinesRealTimeAggregateClient +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TopicCountryEngagementCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TopicEngagementCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TweetCountryEngagementCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TweetEngagementCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TwitterListEngagementCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserAuthorEngagementCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserEngagementCache +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserTopicEngagementForNewUserCache +import com.twitter.home_mixer.util.InjectionTransformerImplicits._ +import com.twitter.inject.TwitterModule +import com.twitter.ml.api.DataRecord +import com.twitter.ml.api.Feature +import com.twitter.ml.{api => ml} +import com.twitter.servo.cache.KeyValueTransformingReadCache +import com.twitter.servo.cache.Memcache +import com.twitter.servo.cache.ReadCache +import com.twitter.servo.util.Transformer +import com.twitter.storehaus_internal.memcache.MemcacheHelper +import com.twitter.summingbird.batch.Batcher +import com.twitter.summingbird_internal.bijection.BatchPairImplicits +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregationKey +import com.twitter.timelines.data_processing.ml_util.aggregation_framework.AggregationKeyInjection +import com.twitter.wtf.real_time_interaction_graph.{thriftscala => ig} + +import javax.inject.Singleton + +object RealtimeAggregateFeatureRepositoryModule + extends TwitterModule + with RealtimeAggregateHelpers { + + private val authorIdFeature = new Feature.Discrete("entities.source_author_id") + private val countryCodeFeature = new Feature.Text("geo.user_location.country_code") + private val listIdFeature = new Feature.Discrete("list.id") + private val userIdFeature = new Feature.Discrete("meta.user_id") + private val topicIdFeature = new Feature.Discrete("entities.topic_id") + private val tweetIdFeature = new Feature.Discrete("entities.source_tweet_id") + + @Provides + @Singleton + @Named(UserTopicEngagementForNewUserCache) + def providesUserTopicEngagementForNewUserCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[(Long, Long), ml.DataRecord] = { + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD2(userIdFeature, topicIdFeature) + ) + } + + @Provides + @Singleton + @Named(TwitterListEngagementCache) + def providesTwitterListEngagementCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[Long, ml.DataRecord] = { + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD1(listIdFeature) + ) + } + + @Provides + @Singleton + @Named(TopicEngagementCache) + def providesTopicEngagementCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[Long, ml.DataRecord] = { + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD1(topicIdFeature) + ) + } + + @Provides + @Singleton + @Named(UserAuthorEngagementCache) + def providesUserAuthorEngagementCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[(Long, Long), ml.DataRecord] = { + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD2(userIdFeature, authorIdFeature) + ) + } + + @Provides + @Singleton + @Named(UserEngagementCache) + def providesUserEngagementCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[Long, ml.DataRecord] = { + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD1(userIdFeature) + ) + } + + @Provides + @Singleton + @Named(TweetCountryEngagementCache) + def providesTweetCountryEngagementCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[(Long, String), ml.DataRecord] = { + + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD1T1(tweetIdFeature, countryCodeFeature) + ) + } + + @Provides + @Singleton + @Named(TweetEngagementCache) + def providesTweetEngagementCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[Long, ml.DataRecord] = { + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD1(tweetIdFeature) + ) + } + + @Provides + @Singleton + @Named(EngagementsReceivedByAuthorCache) + def providesEngagementsReceivedByAuthorCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[Long, ml.DataRecord] = { + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD1(authorIdFeature) + ) + } + + @Provides + @Singleton + @Named(TopicCountryEngagementCache) + def providesTopicCountryEngagementCache( + @Named(TimelinesRealTimeAggregateClient) client: Memcache + ): ReadCache[(Long, String), ml.DataRecord] = { + new KeyValueTransformingReadCache( + client, + dataRecordValueTransformer, + keyTransformD1T1(topicIdFeature, countryCodeFeature) + ) + } + + @Provides + @Singleton + @Named(RealTimeInteractionGraphUserVertexCache) + def providesRealTimeInteractionGraphUserVertexCache( + @Named(RealTimeInteractionGraphUserVertexClient) client: Memcache + ): ReadCache[Long, ig.UserVertex] = { + + val valueTransformer = BinaryScalaCodec(ig.UserVertex).toByteArrayTransformer() + + val underlyingKey: Long => String = { + val cacheKeyPrefix = "user_vertex" + val defaultBatchID = Batcher.unit.currentBatch + val batchPairInjection = BatchPairImplicits.keyInjection(Injection.connect[Long, Array[Byte]]) + MemcacheHelper + .keyEncoder(cacheKeyPrefix)(batchPairInjection) + .compose((k: Long) => (k, defaultBatchID)) + } + + new KeyValueTransformingReadCache( + client, + valueTransformer, + underlyingKey + ) + } +} + +trait RealtimeAggregateHelpers { + + private def customKeyBuilder[K](prefix: String, f: K => Array[Byte]): K => String = { + // intentionally not implementing injection inverse because it is never used + def g(arr: Array[Byte]) = ??? + + MemcacheHelper.keyEncoder(prefix)(Injection.build(f)(g)) + } + + private val keyEncoder: AggregationKey => String = { + val cacheKeyPrefix = "" + val defaultBatchID = Batcher.unit.currentBatch + + val batchPairInjection = BatchPairImplicits.keyInjection(AggregationKeyInjection) + customKeyBuilder(cacheKeyPrefix, batchPairInjection) + .compose((k: AggregationKey) => (k, defaultBatchID)) + } + + protected def keyTransformD1(f1: Feature.Discrete)(key: Long): String = { + val aggregationKey = AggregationKey( + Map(f1.getFeatureId -> key), + Map.empty + ) + + keyEncoder(aggregationKey) + } + + protected def keyTransformD2( + f1: Feature.Discrete, + f2: Feature.Discrete + )( + keys: (Long, Long) + ): String = { + val (k1, k2) = keys + val aggregationKey = AggregationKey( + Map(f1.getFeatureId -> k1, f2.getFeatureId -> k2), + Map.empty + ) + + keyEncoder(aggregationKey) + } + + protected def keyTransformD1T1( + f1: Feature.Discrete, + f2: Feature.Text + )( + keys: (Long, String) + ): String = { + val (k1, k2) = keys + val aggregationKey = AggregationKey( + Map(f1.getFeatureId -> k1), + Map(f2.getFeatureId -> k2) + ) + + keyEncoder(aggregationKey) + } + + protected val dataRecordValueTransformer: Transformer[DataRecord, Array[Byte]] = ThriftCodec + .toCompact[ml.DataRecord] + .toByteArrayTransformer() +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ScoredTweetsMemcacheModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ScoredTweetsMemcacheModule.scala new file mode 100644 index 000000000..b8ac940b1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ScoredTweetsMemcacheModule.scala @@ -0,0 +1,65 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.inject.TwitterModule +import com.twitter.product_mixer.shared_library.memcached_client.MemcachedClientBuilder +import com.twitter.servo.cache.FinagleMemcache +import com.twitter.servo.cache.KeyTransformer +import com.twitter.servo.cache.KeyValueTransformingTtlCache +import com.twitter.servo.cache.ObservableTtlCache +import com.twitter.servo.cache.Serializer +import com.twitter.servo.cache.ThriftSerializer +import com.twitter.servo.cache.TtlCache +import com.twitter.timelines.model.UserId +import org.apache.thrift.protocol.TCompactProtocol + +import javax.inject.Singleton + +object ScoredTweetsMemcacheModule extends TwitterModule { + + private val ScopeName = "ScoredTweetsCache" + private val ProdDestName = "/srv#/prod/local/cache/home_scored_tweets:twemcaches" + private val StagingDestName = "/srv#/test/local/cache/twemcache_home_scored_tweets:twemcaches" + private val cachedScoredTweetsSerializer: Serializer[t.CachedScoredTweets] = + new ThriftSerializer[t.CachedScoredTweets](t.CachedScoredTweets, new TCompactProtocol.Factory()) + private val userIdKeyTransformer: KeyTransformer[UserId] = (userId: UserId) => userId.toString + + @Singleton + @Provides + def providesScoredTweetsCache( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): TtlCache[UserId, t.CachedScoredTweets] = { + val destName = serviceIdentifier.environment.toLowerCase match { + case "prod" => ProdDestName + case _ => StagingDestName + } + val client = MemcachedClientBuilder.buildMemcachedClient( + destName = destName, + numTries = 2, + requestTimeout = 200.milliseconds, + globalTimeout = 400.milliseconds, + connectTimeout = 100.milliseconds, + acquisitionTimeout = 100.milliseconds, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver.scope(ScopeName) + ) + val underlyingCache = new FinagleMemcache(client) + val baseCache: KeyValueTransformingTtlCache[UserId, String, t.CachedScoredTweets, Array[Byte]] = + new KeyValueTransformingTtlCache( + underlyingCache = underlyingCache, + transformer = cachedScoredTweetsSerializer, + underlyingKey = userIdKeyTransformer + ) + ObservableTtlCache( + underlyingCache = baseCache, + statsReceiver = statsReceiver, + windowSize = 1000L, + name = ScopeName + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ScribeEventPublisherModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ScribeEventPublisherModule.scala new file mode 100644 index 000000000..9c74fb1c3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ScribeEventPublisherModule.scala @@ -0,0 +1,125 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.clientapp.{thriftscala => ca} +import com.twitter.home_mixer.param.HomeMixerFlagName.ScribeClientEventsFlag +import com.twitter.home_mixer.param.HomeMixerFlagName.ScribeServedCommonFeaturesAndCandidateFeaturesFlag +import com.twitter.home_mixer.param.HomeMixerFlagName.ScribeServedEntriesFlag +import com.twitter.home_mixer.param.HomeMixerInjectionNames.CandidateFeaturesScribeEventPublisher +import com.twitter.home_mixer.param.HomeMixerInjectionNames.CommonFeaturesScribeEventPublisher +import com.twitter.home_mixer.param.HomeMixerInjectionNames.MinimumFeaturesScribeEventPublisher +import com.twitter.inject.TwitterModule +import com.twitter.inject.annotations.Flag +import com.twitter.logpipeline.client.EventPublisherManager +import com.twitter.logpipeline.client.common.EventPublisher +import com.twitter.logpipeline.client.serializers.EventLogMsgTBinarySerializer +import com.twitter.logpipeline.client.serializers.EventLogMsgThriftStructSerializer +import com.twitter.timelines.suggests.common.poly_data_record.{thriftjava => pldr} +import com.twitter.timelines.timeline_logging.{thriftscala => tl} + +import javax.inject.Named +import javax.inject.Singleton + +object ScribeEventPublisherModule extends TwitterModule { + + val InMemoryBufferSize = 10000 + val ClientEventLogCategory = "client_event" + val ServedEntriesLogCategory = "home_timeline_served_entries" + val ServedCommonFeaturesLogCategory = "tq_served_common_features_offline" + val ServedCandidateFeaturesLogCategory = "tq_served_candidate_features_offline" + val ServedMinimumFeaturesLogCategory = "tq_served_minimum_features_offline" + + @Provides + @Singleton + def providesClientEventsScribeEventPublisher( + @Flag(ScribeClientEventsFlag) sendToScribe: Boolean + ): EventPublisher[ca.LogEvent] = { + val serializer = EventLogMsgThriftStructSerializer.getNewSerializer[ca.LogEvent]() + + if (sendToScribe) + EventPublisherManager.buildScribeLogPipelinePublisher(ClientEventLogCategory, serializer) + else + EventPublisherManager.buildInMemoryPublisher( + ClientEventLogCategory, + serializer, + InMemoryBufferSize + ) + } + + @Provides + @Singleton + @Named(CommonFeaturesScribeEventPublisher) + def providesCommonFeaturesScribeEventPublisher( + @Flag(ScribeServedCommonFeaturesAndCandidateFeaturesFlag) sendToScribe: Boolean + ): EventPublisher[pldr.PolyDataRecord] = { + val serializer = EventLogMsgTBinarySerializer.getNewSerializer + + if (sendToScribe) + EventPublisherManager.buildScribeLogPipelinePublisher( + ServedCommonFeaturesLogCategory, + serializer) + else + EventPublisherManager.buildInMemoryPublisher( + ServedCommonFeaturesLogCategory, + serializer, + InMemoryBufferSize + ) + } + + @Provides + @Singleton + @Named(CandidateFeaturesScribeEventPublisher) + def providesCandidateFeaturesScribeEventPublisher( + @Flag(ScribeServedCommonFeaturesAndCandidateFeaturesFlag) sendToScribe: Boolean + ): EventPublisher[pldr.PolyDataRecord] = { + val serializer = EventLogMsgTBinarySerializer.getNewSerializer + + if (sendToScribe) + EventPublisherManager.buildScribeLogPipelinePublisher( + ServedCandidateFeaturesLogCategory, + serializer) + else + EventPublisherManager.buildInMemoryPublisher( + ServedCandidateFeaturesLogCategory, + serializer, + InMemoryBufferSize + ) + } + + @Provides + @Singleton + @Named(MinimumFeaturesScribeEventPublisher) + def providesMinimumFeaturesScribeEventPublisher( + @Flag(ScribeServedCommonFeaturesAndCandidateFeaturesFlag) sendToScribe: Boolean + ): EventPublisher[pldr.PolyDataRecord] = { + val serializer = EventLogMsgTBinarySerializer.getNewSerializer + + if (sendToScribe) + EventPublisherManager.buildScribeLogPipelinePublisher( + ServedMinimumFeaturesLogCategory, + serializer) + else + EventPublisherManager.buildInMemoryPublisher( + ServedMinimumFeaturesLogCategory, + serializer, + InMemoryBufferSize + ) + } + + @Provides + @Singleton + def providesServedEntriesScribeEventPublisher( + @Flag(ScribeServedEntriesFlag) sendToScribe: Boolean + ): EventPublisher[tl.Timeline] = { + val serializer = EventLogMsgThriftStructSerializer.getNewSerializer[tl.Timeline]() + + if (sendToScribe) + EventPublisherManager.buildScribeLogPipelinePublisher(ServedEntriesLogCategory, serializer) + else + EventPublisherManager.buildInMemoryPublisher( + ServedEntriesLogCategory, + serializer, + InMemoryBufferSize + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/SimClustersRecentEngagementsClientModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/SimClustersRecentEngagementsClientModule.scala new file mode 100644 index 000000000..7e819d51e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/SimClustersRecentEngagementsClientModule.scala @@ -0,0 +1,23 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.BatchedStratoClientWithModerateTimeout +import com.twitter.inject.TwitterModule +import com.twitter.strato.client.Client +import com.twitter.timelines.clients.strato.twistly.SimClustersRecentEngagementSimilarityClient +import com.twitter.timelines.clients.strato.twistly.SimClustersRecentEngagementSimilarityClientImpl +import javax.inject.Named +import javax.inject.Singleton + +object SimClustersRecentEngagementsClientModule extends TwitterModule { + @Singleton + @Provides + def providesSimilarityClient( + @Named(BatchedStratoClientWithModerateTimeout) + stratoClient: Client, + statsReceiver: StatsReceiver + ): SimClustersRecentEngagementSimilarityClient = { + new SimClustersRecentEngagementSimilarityClientImpl(stratoClient, statsReceiver) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/StaleTweetsCacheModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/StaleTweetsCacheModule.scala new file mode 100644 index 000000000..070de320a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/StaleTweetsCacheModule.scala @@ -0,0 +1,37 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.google.inject.name.Named +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.memcached.{Client => MemcachedClient} +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.hashing.KeyHasher +import com.twitter.home_mixer.param.HomeMixerInjectionNames.StaleTweetsCache +import com.twitter.inject.TwitterModule +import com.twitter.product_mixer.shared_library.memcached_client.MemcachedClientBuilder +import javax.inject.Singleton + +object StaleTweetsCacheModule extends TwitterModule { + + @Singleton + @Provides + @Named(StaleTweetsCache) + def providesCache( + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): MemcachedClient = { + MemcachedClientBuilder.buildMemcachedClient( + destName = "/srv#/prod/local/cache/staletweetscache:twemcaches", + numTries = 3, + requestTimeout = 200.milliseconds, + globalTimeout = 500.milliseconds, + connectTimeout = 200.milliseconds, + acquisitionTimeout = 200.milliseconds, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver, + failureAccrualPolicy = None, + keyHasher = Some(KeyHasher.FNV1_32) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ThriftFeatureRepositoryModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ThriftFeatureRepositoryModule.scala new file mode 100644 index 000000000..5a2a8701a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/ThriftFeatureRepositoryModule.scala @@ -0,0 +1,375 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.conversions.PercentOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.thrift.ClientId +import com.twitter.graph_feature_service.{thriftscala => gfs} +import com.twitter.home_mixer.param.HomeMixerInjectionNames.EarlybirdRepository +import com.twitter.home_mixer.param.HomeMixerInjectionNames.GraphTwoHopRepository +import com.twitter.home_mixer.param.HomeMixerInjectionNames.InterestsThriftServiceClient +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TweetypieContentRepository +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserFollowedTopicIdsRepository +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UtegSocialProofRepository +import com.twitter.home_mixer.util.earlybird.EarlybirdRequestUtil +import com.twitter.home_mixer.util.tweetypie.RequestFields +import com.twitter.inject.TwitterModule +import com.twitter.interests.{thriftscala => int} +import com.twitter.product_mixer.shared_library.memcached_client.MemcachedClientBuilder +import com.twitter.product_mixer.shared_library.thrift_client.FinagleThriftClientBuilder +import com.twitter.product_mixer.shared_library.thrift_client.Idempotent +import com.twitter.recos.recos_common.{thriftscala => rc} +import com.twitter.recos.user_tweet_entity_graph.{thriftscala => uteg} +import com.twitter.search.earlybird.{thriftscala => eb} +import com.twitter.servo.cache.Cached +import com.twitter.servo.cache.CachedSerializer +import com.twitter.servo.cache.FinagleMemcacheFactory +import com.twitter.servo.cache.MemcacheCacheFactory +import com.twitter.servo.cache.NonLockingCache +import com.twitter.servo.cache.ThriftSerializer +import com.twitter.servo.keyvalue.KeyValueResultBuilder +import com.twitter.servo.repository.CachingKeyValueRepository +import com.twitter.servo.repository.ChunkingStrategy +import com.twitter.servo.repository.KeyValueRepository +import com.twitter.servo.repository.KeyValueResult +import com.twitter.servo.repository.keysAsQuery +import com.twitter.spam.rtf.{thriftscala => sp} +import com.twitter.tweetypie.{thriftscala => tp} +import com.twitter.util.Future +import com.twitter.util.Return +import javax.inject.Named +import javax.inject.Singleton +import org.apache.thrift.protocol.TCompactProtocol + +object ThriftFeatureRepositoryModule extends TwitterModule { + + private val DefaultRPCChunkSize = 50 + private val GFSInteractionIdsLimit = 10 + + type EarlybirdQuery = (Seq[Long], Long) + type UtegQuery = (Seq[Long], (Long, Map[Long, Double])) + + @Provides + @Singleton + @Named(InterestsThriftServiceClient) + def providesInterestsThriftServiceClient( + clientId: ClientId, + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): int.InterestsThriftService.MethodPerEndpoint = { + FinagleThriftClientBuilder + .buildFinagleMethodPerEndpoint[ + int.InterestsThriftService.ServicePerEndpoint, + int.InterestsThriftService.MethodPerEndpoint]( + serviceIdentifier = serviceIdentifier, + clientId = clientId, + dest = "/s/interests-thrift-service/interests-thrift-service", + label = "interests", + statsReceiver = statsReceiver, + idempotency = Idempotent(1.percent), + timeoutPerRequest = 100.milliseconds, + timeoutTotal = 100.milliseconds + ) + } + + @Provides + @Singleton + @Named(UserFollowedTopicIdsRepository) + def providesUserFollowedTopicIdsRepository( + @Named(InterestsThriftServiceClient) client: int.InterestsThriftService.MethodPerEndpoint + ): KeyValueRepository[Seq[Long], Long, Seq[Long]] = { + + val lookupContext = Some( + int.ExplicitInterestLookupContext(Some(Seq(int.InterestRelationType.Followed))) + ) + + def lookup(userId: Long): Future[Seq[Long]] = { + client.getUserExplicitInterests(userId, lookupContext).map { interests => + interests.flatMap { + _.interestId match { + case int.InterestId.SemanticCore(semanticCoreInterest) => Some(semanticCoreInterest.id) + case _ => None + } + } + } + } + + val keyValueRepository = toRepository(lookup) + + keyValueRepository + } + + @Provides + @Singleton + @Named(UtegSocialProofRepository) + def providesUtegSocialProofRepository( + clientId: ClientId, + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): KeyValueRepository[UtegQuery, Long, uteg.TweetRecommendation] = { + val client = FinagleThriftClientBuilder.buildFinagleMethodPerEndpoint[ + uteg.UserTweetEntityGraph.ServicePerEndpoint, + uteg.UserTweetEntityGraph.MethodPerEndpoint]( + serviceIdentifier = serviceIdentifier, + clientId = clientId, + dest = "/s/cassowary/user_tweet_entity_graph", + label = "uteg-social-proof-repo", + statsReceiver = statsReceiver, + idempotency = Idempotent(1.percent), + timeoutPerRequest = 150.milliseconds, + timeoutTotal = 250.milliseconds + ) + + val utegSocialProofTypes = Seq( + rc.SocialProofType.Favorite, + rc.SocialProofType.Retweet, + rc.SocialProofType.Reply + ) + + def lookup( + tweetIds: Seq[Long], + view: (Long, Map[Long, Double]) + ): Future[Seq[Option[uteg.TweetRecommendation]]] = { + val (userId, seedsWithWeights) = view + val socialProofRequest = uteg.SocialProofRequest( + requesterId = Some(userId), + seedsWithWeights = seedsWithWeights, + inputTweets = tweetIds, + socialProofTypes = Some(utegSocialProofTypes) + ) + client.findTweetSocialProofs(socialProofRequest).map { result => + val resultMap = result.socialProofResults.map(t => t.tweetId -> t).toMap + tweetIds.map(resultMap.get) + } + } + + toRepositoryBatchWithView(lookup, chunkSize = 200) + } + + @Provides + @Singleton + @Named(TweetypieContentRepository) + def providesTweetypieContentRepository( + clientId: ClientId, + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): KeyValueRepository[Seq[Long], Long, tp.Tweet] = { + val client = FinagleThriftClientBuilder + .buildFinagleMethodPerEndpoint[ + tp.TweetService.ServicePerEndpoint, + tp.TweetService.MethodPerEndpoint]( + serviceIdentifier = serviceIdentifier, + clientId = clientId, + dest = "/s/tweetypie/tweetypie", + label = "tweetypie-content-repo", + statsReceiver = statsReceiver, + idempotency = Idempotent(1.percent), + timeoutPerRequest = 150.milliseconds, + timeoutTotal = 250.milliseconds + ) + + def lookup(tweetIds: Seq[Long]): Future[Seq[Option[tp.Tweet]]] = { + val getTweetFieldsOptions = tp.GetTweetFieldsOptions( + tweetIncludes = RequestFields.ContentFields, + includeRetweetedTweet = false, + includeQuotedTweet = false, + forUserId = None, + // Service needs to be whitelisted + // We rely on the VF at the end of serving. No need to filter now. + safetyLevel = Some(sp.SafetyLevel.FilterNone), + visibilityPolicy = tp.TweetVisibilityPolicy.NoFiltering + ) + val request = tp.GetTweetFieldsRequest( + tweetIds = tweetIds, + options = getTweetFieldsOptions + ) + client.getTweetFields(request).map { results => + results.map { + case tp.GetTweetFieldsResult(_, tp.TweetFieldsResultState.Found(found), _, _) => + Some(found.tweet) + case _ => None + } + } + } + + val keyValueRepository = toRepositoryBatch(lookup, chunkSize = 20) + + // Cache + val cacheClient = MemcachedClientBuilder.buildRawMemcachedClient( + numTries = 1, + requestTimeout = 100.milliseconds, + globalTimeout = 100.milliseconds, + connectTimeout = 200.milliseconds, + acquisitionTimeout = 200.milliseconds, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver + ) + val finagleMemcacheFactory = + FinagleMemcacheFactory(cacheClient, "/s/cache/home_content_features:twemcaches") + val cacheValueTransformer = + new ThriftSerializer[tp.Tweet](tp.Tweet, new TCompactProtocol.Factory()) + val cachedSerializer = CachedSerializer.binary(cacheValueTransformer) + + val cache = MemcacheCacheFactory( + memcache = finagleMemcacheFactory(), + ttl = 48.hours + )[Long, Cached[tp.Tweet]](cachedSerializer) + + val lockingCache = new NonLockingCache(cache) + val cachedKeyValueRepository = new CachingKeyValueRepository( + keyValueRepository, + lockingCache, + keysAsQuery[Long] + ) + cachedKeyValueRepository + } + + @Provides + @Singleton + @Named(GraphTwoHopRepository) + def providesGraphTwoHopRepository( + clientId: ClientId, + serviceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): KeyValueRepository[(Seq[Long], Long), Long, Seq[gfs.IntersectionValue]] = { + val client = FinagleThriftClientBuilder + .buildFinagleMethodPerEndpoint[gfs.Server.ServicePerEndpoint, gfs.Server.MethodPerEndpoint]( + serviceIdentifier = serviceIdentifier, + clientId = clientId, + dest = "/s/cassowary/graph_feature_service-server", + label = "gfs-repo", + statsReceiver = statsReceiver, + idempotency = Idempotent(1.percent), + timeoutPerRequest = 350.milliseconds, + timeoutTotal = 500.milliseconds + ) + + def lookup( + userIds: Seq[Long], + viewerId: Long + ): Future[Seq[Option[Seq[gfs.IntersectionValue]]]] = { + val gfsIntersectionRequest = gfs.GfsPresetIntersectionRequest( + userId = viewerId, + candidateUserIds = userIds, + presetFeatureTypes = gfs.PresetFeatureTypes.HtlTwoHop, + intersectionIdLimit = Some(GFSInteractionIdsLimit) + ) + + client + .getPresetIntersection(gfsIntersectionRequest) + .map { graphFeatureServiceResponse => + val resultMap = graphFeatureServiceResponse.results + .map(result => result.candidateUserId -> result.intersectionValues).toMap + userIds.map(resultMap.get(_)) + } + } + + toRepositoryBatchWithView(lookup, chunkSize = 200) + } + + @Provides + @Singleton + @Named(EarlybirdRepository) + def providesEarlybirdSearchRepository( + client: eb.EarlybirdService.MethodPerEndpoint, + clientId: ClientId + ): KeyValueRepository[EarlybirdQuery, Long, eb.ThriftSearchResult] = { + + def lookup( + tweetIds: Seq[Long], + viewerId: Long + ): Future[Seq[Option[eb.ThriftSearchResult]]] = { + val request = EarlybirdRequestUtil.getTweetsEBFeaturesRequest( + userId = Some(viewerId), + tweetIds = Some(tweetIds), + clientId = Some(clientId.name) + ) + + client + .search(request).map { response => + val resultMap = response.searchResults + .map(_.results.map { result => result.id -> result }.toMap).getOrElse(Map.empty) + tweetIds.map(resultMap.get) + } + } + toRepositoryBatchWithView(lookup) + } + + protected def toRepository[K, V]( + hydrate: K => Future[V] + ): KeyValueRepository[Seq[K], K, V] = { + def asRepository(keys: Seq[K]): Future[KeyValueResult[K, V]] = { + Future.collect(keys.map(hydrate(_).liftToTry)).map { results => + keys + .zip(results) + .foldLeft(new KeyValueResultBuilder[K, V]()) { + case (bldr, (k, result)) => + result match { + case Return(v) => bldr.addFound(k, v) + case _ => bldr.addNotFound(k) + } + }.result + } + } + + asRepository + } + + protected def toRepositoryBatch[K, V]( + hydrate: Seq[K] => Future[Seq[Option[V]]], + chunkSize: Int = DefaultRPCChunkSize + ): KeyValueRepository[Seq[K], K, V] = { + def repository(keys: Seq[K]): Future[KeyValueResult[K, V]] = + batchRepositoryProcess(keys, hydrate(keys)) + + KeyValueRepository.chunked(repository, ChunkingStrategy.equalSize(chunkSize)) + } + + protected def toRepositoryBatchWithView[K, T, V]( + hydrate: (Seq[K], T) => Future[Seq[Option[V]]], + chunkSize: Int = DefaultRPCChunkSize + ): KeyValueRepository[(Seq[K], T), K, V] = { + def repository(input: (Seq[K], T)): Future[KeyValueResult[K, V]] = { + val (keys, view) = input + batchRepositoryProcess(keys, hydrate(keys, view)) + } + + KeyValueRepository.chunked(repository, CustomChunkingStrategy.equalSizeWithView(chunkSize)) + } + + private def batchRepositoryProcess[K, V]( + keys: Seq[K], + f: Future[Seq[Option[V]]] + ): Future[KeyValueResult[K, V]] = { + f.liftToTry + .map { + case Return(values) => + keys + .zip(values) + .foldLeft(new KeyValueResultBuilder[K, V]()) { + case (bldr, (k, value)) => + value match { + case Some(v) => bldr.addFound(k, v) + case _ => bldr.addNotFound(k) + } + }.result + case _ => + keys + .foldLeft(new KeyValueResultBuilder[K, V]()) { + case (bldr, k) => bldr.addNotFound(k) + }.result + } + } + + // Use only for cases not already covered by Servo's [[ChunkingStrategy]] + object CustomChunkingStrategy { + def equalSizeWithView[K, T](maxSize: Int): ((Seq[K], T)) => Seq[(Seq[K], T)] = { + case (keys, view) => + ChunkingStrategy + .equalSize[K](maxSize)(keys) + .map { chunk: Seq[K] => (chunk, view) } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TimelinesPersistenceStoreClientModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TimelinesPersistenceStoreClientModule.scala new file mode 100644 index 000000000..4292b36be --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TimelinesPersistenceStoreClientModule.scala @@ -0,0 +1,43 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.inject.TwitterModule +import com.twitter.timelinemixer.clients.persistence.TimelinePersistenceManhattanClientBuilder +import com.twitter.timelinemixer.clients.persistence.TimelinePersistenceManhattanClientConfig +import com.twitter.timelinemixer.clients.persistence.TimelineResponseBatchesClient +import com.twitter.timelinemixer.clients.persistence.TimelineResponseV3 +import javax.inject.Singleton + +object TimelinesPersistenceStoreClientModule extends TwitterModule { + private val StagingDataset = "timeline_response_batches_v5_nonprod" + private val ProdDataset = "timeline_response_batches_v5" + + @Provides + @Singleton + def providesTimelinesPersistenceStoreClient( + injectedServiceIdentifier: ServiceIdentifier, + statsReceiver: StatsReceiver + ): TimelineResponseBatchesClient[TimelineResponseV3] = { + val (timelineResponseBatchesDataset, manhattanReadOnly) = + injectedServiceIdentifier.environment.toLowerCase match { + case "prod" => (ProdDataset, false) + case _ => (StagingDataset, true) + } + + val timelineResponseBatchesConfig = new TimelinePersistenceManhattanClientConfig { + val dataset = timelineResponseBatchesDataset + val isReadOnly = manhattanReadOnly + val serviceIdentifier = injectedServiceIdentifier + override val defaultMaxTimeout = 300.milliseconds + override val maxRetryCount = 1 + } + + TimelinePersistenceManhattanClientBuilder.buildTimelineResponseV3BatchesClient( + timelineResponseBatchesConfig, + statsReceiver + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TweetyPieClientModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TweetyPieClientModule.scala new file mode 100644 index 000000000..84b634cc3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TweetyPieClientModule.scala @@ -0,0 +1,51 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.thrift.ClientId +import com.twitter.finagle.thriftmux.MethodBuilder +import com.twitter.finatra.mtls.thriftmux.modules.MtlsClient +import com.twitter.inject.Injector +import com.twitter.inject.thrift.modules.ThriftMethodBuilderClientModule +import com.twitter.stitch.tweetypie.TweetyPie +import com.twitter.tweetypie.thriftscala.TweetService +import com.twitter.util.Duration +import javax.inject.Singleton + +/** + * Idempotent TweetyPie Thrift and Stitch client. + */ +object TweetyPieClientModule + extends ThriftMethodBuilderClientModule[ + TweetService.ServicePerEndpoint, + TweetService.MethodPerEndpoint + ] + with MtlsClient { + override val label: String = "tweetypie" + override val dest: String = "/s/tweetypie/tweetypie" + + @Singleton + @Provides + def providesTweetypieStitchClient(tweetService: TweetService.MethodPerEndpoint): TweetyPie = + new TweetyPie(tweetService) + + /** + * TweetyPie client id must be in the form of {service.env} or it will not be treated as an + * unauthorized client + */ + override protected def clientId(injector: Injector): ClientId = { + val serviceIdentifier = injector.instance[ServiceIdentifier] + ClientId(s"${serviceIdentifier.service}.${serviceIdentifier.environment}") + } + + override protected def configureMethodBuilder( + injector: Injector, + methodBuilder: MethodBuilder + ): MethodBuilder = + methodBuilder + .withTimeoutPerRequest(500.milliseconds) + .withTimeoutTotal(500.milliseconds) + + override protected def sessionAcquisitionTimeout: Duration = 250.milliseconds +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TweetypieStaticEntitiesCacheClientModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TweetypieStaticEntitiesCacheClientModule.scala new file mode 100644 index 000000000..2d0d5e08b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/TweetypieStaticEntitiesCacheClientModule.scala @@ -0,0 +1,69 @@ +package com.twitter.home_mixer.module + +import com.google.inject.name.Named +import com.google.inject.Provides +import com.twitter.conversions.DurationOps.RichDuration +import com.twitter.finagle.mtls.authentication.ServiceIdentifier +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.TweetypieStaticEntitiesCache +import com.twitter.inject.TwitterModule +import com.twitter.product_mixer.shared_library.memcached_client.MemcachedClientBuilder +import com.twitter.servo.cache.FinagleMemcache +import com.twitter.servo.cache.KeyTransformer +import com.twitter.servo.cache.KeyValueTransformingTtlCache +import com.twitter.servo.cache.ObservableTtlCache +import com.twitter.servo.cache.Serializer +import com.twitter.servo.cache.ThriftSerializer +import com.twitter.servo.cache.TtlCache +import com.twitter.tweetypie.{thriftscala => tp} +import javax.inject.Singleton +import org.apache.thrift.protocol.TCompactProtocol + +object TweetypieStaticEntitiesCacheClientModule extends TwitterModule { + + private val ScopeName = "TweetypieStaticEntitiesMemcache" + private val ProdDest = "/srv#/prod/local/cache/timelinescorer_tweet_core_data:twemcaches" + + private val tweetsSerializer: Serializer[tp.Tweet] = { + new ThriftSerializer[tp.Tweet](tp.Tweet, new TCompactProtocol.Factory()) + } + private val keyTransformer: KeyTransformer[Long] = { tweetId => tweetId.toString } + + @Provides + @Singleton + @Named(TweetypieStaticEntitiesCache) + def providesTweetypieStaticEntitiesCache( + statsReceiver: StatsReceiver, + serviceIdentifier: ServiceIdentifier + ): TtlCache[Long, tp.Tweet] = { + val memCacheClient = MemcachedClientBuilder.buildMemcachedClient( + destName = ProdDest, + numTries = 1, + requestTimeout = 50.milliseconds, + globalTimeout = 100.milliseconds, + connectTimeout = 100.milliseconds, + acquisitionTimeout = 100.milliseconds, + serviceIdentifier = serviceIdentifier, + statsReceiver = statsReceiver + ) + mkCache(new FinagleMemcache(memCacheClient), statsReceiver) + } + + private def mkCache( + finagleMemcache: FinagleMemcache, + statsReceiver: StatsReceiver + ): TtlCache[Long, tp.Tweet] = { + val baseCache: KeyValueTransformingTtlCache[Long, String, tp.Tweet, Array[Byte]] = + new KeyValueTransformingTtlCache( + underlyingCache = finagleMemcache, + transformer = tweetsSerializer, + underlyingKey = keyTransformer + ) + ObservableTtlCache( + underlyingCache = baseCache, + statsReceiver = statsReceiver.scope(ScopeName), + windowSize = 1000, + name = ScopeName + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/UserMetadataStoreModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/UserMetadataStoreModule.scala new file mode 100644 index 000000000..7a450ac81 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/module/UserMetadataStoreModule.scala @@ -0,0 +1,26 @@ +package com.twitter.home_mixer.module + +import com.google.inject.Provides +import com.google.inject.name.Named +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserMetadataManhattanEndpoint +import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserLanguagesStore +import com.twitter.home_mixer.store.UserLanguagesStore +import com.twitter.inject.TwitterModule +import com.twitter.search.common.constants.{thriftscala => scc} +import com.twitter.storage.client.manhattan.kv.ManhattanKVEndpoint +import com.twitter.storehaus.ReadableStore +import javax.inject.Singleton + +object UserMetadataStoreModule extends TwitterModule { + + @Provides + @Singleton + @Named(UserLanguagesStore) + def providesUserLanguagesFeaturesStore( + @Named(UserMetadataManhattanEndpoint) UserMetadataManhattanKVEndpoint: ManhattanKVEndpoint, + statsReceiver: StatsReceiver + ): ReadableStore[Long, Seq[scc.ThriftLanguage]] = { + new UserLanguagesStore(UserMetadataManhattanKVEndpoint, statsReceiver) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/BUILD.bazel new file mode 100644 index 000000000..25e9a2e31 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/BUILD.bazel @@ -0,0 +1,9 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/GlobalParamConfigModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/GlobalParamConfigModule.scala new file mode 100644 index 000000000..304e7bdc8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/GlobalParamConfigModule.scala @@ -0,0 +1,10 @@ +package com.twitter.home_mixer.param + +import com.twitter.inject.TwitterModule +import com.twitter.product_mixer.core.functional_component.configapi.registry.GlobalParamConfig + +object GlobalParamConfigModule extends TwitterModule { + override def configure(): Unit = { + bind[GlobalParamConfig].to[HomeGlobalParamConfig] + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeGlobalParamConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeGlobalParamConfig.scala new file mode 100644 index 000000000..a998aa9ca --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeGlobalParamConfig.scala @@ -0,0 +1,40 @@ +package com.twitter.home_mixer.param + +import com.twitter.home_mixer.param.HomeGlobalParams._ +import com.twitter.product_mixer.core.functional_component.configapi.registry.GlobalParamConfig +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Register Params that do not relate to a specific product. See GlobalParamConfig -> ParamConfig + * for hooks to register Params based on type. + */ +@Singleton +class HomeGlobalParamConfig @Inject() () extends GlobalParamConfig { + + override val booleanFSOverrides = Seq( + AdsDisableInjectionBasedOnUserRoleParam, + EnableSendScoresToClient, + EnableNahFeedbackInfoParam, + EnableNewTweetsPillAvatarsParam, + EnableServedCandidateKafkaPublishingParam, + EnableSocialContextParam, + EnableGizmoduckAuthorSafetyFeatureHydratorParam, + EnableAdvertiserBrandSafetySettingsFeatureHydratorParam, + EnableFeedbackFatigueParam + ) + + override val boundedIntFSOverrides = Seq( + MaxNumberReplaceInstructionsParam, + TimelinesPersistenceStoreMaxEntriesPerClient, + ) + + override val boundedDoubleFSOverrides = Seq( + BlueVerifiedAuthorInNetworkMultiplierParam, + BlueVerifiedAuthorOutOfNetworkMultiplierParam + ) + + override val longSetFSOverrides = Seq( + AuthorListForStatsParam + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeGlobalParams.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeGlobalParams.scala new file mode 100644 index 000000000..0bd5dd1f0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeGlobalParams.scala @@ -0,0 +1,110 @@ +package com.twitter.home_mixer.param + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +/** + * Instantiate Params that do not relate to a specific product. + * + * @see [[com.twitter.product_mixer.core.product.ProductParamConfig.supportedClientFSName]] + */ +object HomeGlobalParams { + + /** + * This param is used to disable ads injection for timelines served by home-mixer. + * It is currently used to maintain user-role based no-ads lists for automation accounts, + * and should NOT be used for other purposes. + */ + object AdsDisableInjectionBasedOnUserRoleParam + extends FSParam("home_mixer_ads_disable_injection_based_on_user_role", false) + + object EnableSendScoresToClient + extends FSParam[Boolean]( + name = "home_mixer_enable_send_scores_to_client", + default = false + ) + + object EnableNahFeedbackInfoParam + extends FSParam[Boolean]( + name = "home_mixer_enable_nah_feedback_info", + default = false + ) + + object MaxNumberReplaceInstructionsParam + extends FSBoundedParam[Int]( + name = "home_mixer_max_number_replace_instructions", + default = 100, + min = 0, + max = 200 + ) + + object TimelinesPersistenceStoreMaxEntriesPerClient + extends FSBoundedParam[Int]( + name = "home_mixer_timelines_persistence_store_max_entries_per_client", + default = 1800, + min = 500, + max = 5000 + ) + + object EnableNewTweetsPillAvatarsParam + extends FSParam[Boolean]( + name = "home_mixer_enable_new_tweets_pill_avatars", + default = true + ) + + object EnableServedCandidateKafkaPublishingParam + extends FSParam[Boolean]( + name = "home_mixer_enable_served_candidate_kafka_publishing", + default = true + ) + + /** + * This author ID list is used purely for realtime metrics collection around how often we + * are serving Tweets from these authors and which candidate sources they are coming from. + */ + object AuthorListForStatsParam + extends FSParam[Set[Long]]( + name = "home_mixer_author_list_for_stats", + default = Set.empty + ) + + object EnableSocialContextParam + extends FSParam[Boolean]( + name = "home_mixer_enable_social_context", + default = false + ) + + object EnableGizmoduckAuthorSafetyFeatureHydratorParam + extends FSParam[Boolean]( + name = "home_mixer_enable_gizmoduck_author_safety_feature_hydrator", + default = true + ) + + object EnableFeedbackFatigueParam + extends FSParam[Boolean]( + name = "home_mixer_enable_feedback_fatigue", + default = true + ) + + object BlueVerifiedAuthorInNetworkMultiplierParam + extends FSBoundedParam[Double]( + name = "home_mixer_blue_verified_author_in_network_multiplier", + default = 4.0, + min = 0.0, + max = 100.0 + ) + + object BlueVerifiedAuthorOutOfNetworkMultiplierParam + extends FSBoundedParam[Double]( + name = "home_mixer_blue_verified_author_out_of_network_multiplier", + default = 2.0, + min = 0.0, + max = 100.0 + ) + + object EnableAdvertiserBrandSafetySettingsFeatureHydratorParam + extends FSParam[Boolean]( + name = "home_mixer_enable_advertiser_brand_safety_settings_feature_hydrator", + default = true + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeMixerFlagName.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeMixerFlagName.scala new file mode 100644 index 000000000..afe23c35a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeMixerFlagName.scala @@ -0,0 +1,12 @@ +package com.twitter.home_mixer.param + +object HomeMixerFlagName { + final val ScribeClientEventsFlag = "scribe.client_events" + final val ScribeServedEntriesFlag = "scribe.served_entries" + final val ScribeServedCommonFeaturesAndCandidateFeaturesFlag = + "scribe.served_common_features_and_candidate_features" + final val DataRecordMetadataStoreConfigsYmlFlag = "data.record.metadata.store.configs.yml" + final val DarkTrafficFilterDeciderKey = "thrift.dark.traffic.filter.decider_key" + final val TargetFetchLatency = "target.fetch.latency" + final val TargetScoringLatency = "target.scoring.latency" +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeMixerInjectionNames.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeMixerInjectionNames.scala new file mode 100644 index 000000000..ab2f45b4f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/HomeMixerInjectionNames.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.param + +object HomeMixerInjectionNames { + final val AuthorFeatureRepository = "AuthorFeatureRepository" + final val CandidateFeaturesScribeEventPublisher = "CandidateFeaturesScribeEventPublisher" + final val CommonFeaturesScribeEventPublisher = "CommonFeaturesScribeEventPublisher" + final val DDGStatsAuthors = "DDGStatsAuthors" + final val EarlybirdRepository = "EarlybirdRepository" + final val EngagementsReceivedByAuthorCache = "EngagementsReceivedByAuthorCache" + final val GraphTwoHopRepository = "GraphTwoHopRepository" + final val HomeAuthorFeaturesCacheClient = "HomeAuthorFeaturesCacheClient" + final val InterestsThriftServiceClient = "InterestsThriftServiceClient" + final val BatchedStratoClientWithModerateTimeout = "BatchedStratoClientWithModerateTimeout" + final val ManhattanApolloClient = "ManhattanApolloClient" + final val ManhattanAthenaClient = "ManhattanAthenaClient" + final val ManhattanOmegaClient = "ManhattanOmegaClient" + final val ManhattanStarbuckClient = "ManhattanStarbuckClient" + final val MetricCenterUserCountingFeatureRepository = "MetricCenterUserCountingFeatureRepository" + final val MinimumFeaturesScribeEventPublisher = "MinimumFeaturesScribeEventPublisher" + final val RealGraphInNetworkScores = "RealGraphInNetworkScores" + final val RealGraphManhattanEndpoint = "RealGraphFeaturesManhattanEndpoint" + final val RealGraphFeatureRepository = "RealGraphFeatureRepository" + final val RealTimeInteractionGraphUserVertexCache = "RealTimeInteractionGraphUserVertexCache" + final val RealTimeInteractionGraphUserVertexClient = "RealTimeInteractionGraphUserVertexClient" + final val StaleTweetsCache = "StaleTweetsCache" + final val TimelineAggregateMetadataRepository = "TimelineAggregateMetadataRepository" + final val TimelineAggregatePartARepository = "TimelineAggregatePartARepository" + final val TimelineAggregatePartBRepository = "TimelineAggregatePartBRepository" + final val TimelinesRealTimeAggregateClient = "TimelinesRealTimeAggregateClient" + final val TopicCountryEngagementCache = "TopicCountryEngagementCache" + final val TopicEngagementCache = "TopicEngagementCache" + final val TweetCountryEngagementCache = "TweetCountryEngagementCache" + final val TweetEngagementCache = "TweetEngagementCache" + final val TweetypieContentRepository = "TweetypieContentRepository" + final val TweetypieStaticEntitiesCache = "TweetypieStaticEntitiesCache" + final val TwhinAuthorFollow20200101FeatureCacheClient = + "TwhinAuthorFollow20200101FeatureCacheClient" + final val TwhinAuthorFollow20200101FeatureRepository = + "TwhinAuthorFollow20200101FeatureRepository" + final val TwhinUserEngagementFeatureRepository = "TwhinUserEngagementFeatureRepository" + final val TwhinUserFollowFeatureRepository = "TwhinUserFollowFeatureRepository" + final val TwitterListEngagementCache = "TwitterListEngagementCache" + final val UserAuthorEngagementCache = "UserAuthorEngagementCache" + final val UserEngagementCache = "UserEngagementCache" + final val UserFollowedTopicIdsRepository = "UserFollowedTopicIdsRepository" + final val UserLanguagesStore = "UserLanguagesStore" + final val UserMetadataManhattanEndpoint = "UserMetadataManhattanEndpoint" + final val UserTopicEngagementForNewUserCache = "UserTopicEngagementForNewUserCache" + final val UtegSocialProofRepository = "UtegSocialProofRepository" +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider/BUILD.bazel new file mode 100644 index 000000000..5974c186f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider/BUILD.bazel @@ -0,0 +1,10 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + platform = "java8", + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "servo/decider", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider/DeciderKey.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider/DeciderKey.scala new file mode 100644 index 000000000..b81ea760a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider/DeciderKey.scala @@ -0,0 +1,40 @@ +package com.twitter.home_mixer.param.decider + +import com.twitter.servo.decider.DeciderKeyEnum + +/** + * These values must correspond to the deciders configured in the + * home-mixer/server/src/main/resources/config/decider.yml file + * + * @see [[com.twitter.product_mixer.core.product.ProductParamConfig.enabledDeciderKey]] + */ +object DeciderKey extends DeciderKeyEnum { + // Products + val EnableForYouProduct = Value("enable_for_you_product") + + val EnableFollowingProduct = Value("enable_following_product") + + val EnableScoredTweetsProduct = Value("enable_scored_tweets_product") + + val EnableListTweetsProduct = Value("enable_list_tweets_product") + + val EnableListRecommendedUsersProduct = Value("enable_list_recommended_users_product") + + // Candidate Pipelines + val EnableForYouScoredTweetsCandidatePipeline = Value( + "enable_for_you_scored_tweets_candidate_pipeline") + + val EnableScoredTweetsCrMixerCandidatePipeline = Value( + "enable_scored_tweets_cr_mixer_candidate_pipeline") + + val EnableScoredTweetsFrsCandidatePipeline = Value("enable_scored_tweets_frs_candidate_pipeline") + + val EnableScoredTweetsInNetworkCandidatePipeline = Value( + "enable_scored_tweets_in_network_candidate_pipeline") + + val EnableScoredTweetsUtegCandidatePipeline = Value( + "enable_scored_tweets_uteg_candidate_pipeline") + + val EnableSimClustersSimilarityFeatureHydration = Value( + "enable_simclusters_similarity_feature_hydration") +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/BUILD.bazel new file mode 100644 index 000000000..b59b7d9a3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/BUILD.bazel @@ -0,0 +1,26 @@ +scala_library( + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "finatra/inject/inject-core/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/HomeMixerProductModule.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/HomeMixerProductModule.scala new file mode 100644 index 000000000..cff4da4fb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/HomeMixerProductModule.scala @@ -0,0 +1,11 @@ +package com.twitter.home_mixer.product + +import com.twitter.inject.TwitterModule +import com.twitter.product_mixer.core.product.registry.ProductPipelineRegistryConfig + +object HomeMixerProductModule extends TwitterModule { + + override def configure(): Unit = { + bind[ProductPipelineRegistryConfig].to[HomeProductPipelineRegistryConfig] + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/HomeProductPipelineRegistryConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/HomeProductPipelineRegistryConfig.scala new file mode 100644 index 000000000..213143351 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/HomeProductPipelineRegistryConfig.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.product + +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.model.request.ListRecommendedUsersProduct +import com.twitter.home_mixer.model.request.ListTweetsProduct +import com.twitter.home_mixer.model.request.ScoredTweetsProduct +import com.twitter.home_mixer.product.following.FollowingProductPipelineConfig +import com.twitter.home_mixer.product.for_you.ForYouProductPipelineConfig +import com.twitter.home_mixer.product.list_recommended_users.ListRecommendedUsersProductPipelineConfig +import com.twitter.home_mixer.product.scored_tweets.ScoredTweetsProductPipelineConfig +import com.twitter.home_mixer.product.list_tweets.ListTweetsProductPipelineConfig +import com.twitter.inject.Injector +import com.twitter.product_mixer.core.product.guice.ProductScope +import com.twitter.product_mixer.core.product.registry.ProductPipelineRegistryConfig + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class HomeProductPipelineRegistryConfig @Inject() ( + injector: Injector, + productScope: ProductScope) + extends ProductPipelineRegistryConfig { + + private val followingProductPipelineConfig = productScope.let(FollowingProduct) { + injector.instance[FollowingProductPipelineConfig] + } + + private val forYouProductPipelineConfig = productScope.let(ForYouProduct) { + injector.instance[ForYouProductPipelineConfig] + } + + private val scoredTweetsProductPipelineConfig = productScope.let(ScoredTweetsProduct) { + injector.instance[ScoredTweetsProductPipelineConfig] + } + + private val listTweetsProductPipelineConfig = productScope.let(ListTweetsProduct) { + injector.instance[ListTweetsProductPipelineConfig] + } + + private val listRecommendedUsersProductPipelineConfig = + productScope.let(ListRecommendedUsersProduct) { + injector.instance[ListRecommendedUsersProductPipelineConfig] + } + + override val productPipelineConfigs = Seq( + followingProductPipelineConfig, + forYouProductPipelineConfig, + scoredTweetsProductPipelineConfig, + listTweetsProductPipelineConfig, + listRecommendedUsersProductPipelineConfig + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/BUILD.bazel new file mode 100644 index 000000000..3d3273daf --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/BUILD.bazel @@ -0,0 +1,95 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "ads-injection/lib/src/main/scala/com/twitter/goldfinch/api", + "finagle/finagle-memcached/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-core/src/main/scala/com/twitter/inject", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/hermit", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/param_gated", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/async", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/presentation/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect", + "product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "src/java/com/twitter/search/common/schema/base", + "src/java/com/twitter/search/common/schema/earlybird", + "src/java/com/twitter/search/common/util/lang", + "src/java/com/twitter/search/queryparser/query:core-query-nodes", + "src/java/com/twitter/search/queryparser/query/search:search-query-nodes", + "src/scala/com/twitter/suggests/controller_data", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/search/common:constants-java", + "src/thrift/com/twitter/suggests/controller_data:controller_data-scala", + "src/thrift/com/twitter/timelinemixer:thrift-scala", + "src/thrift/com/twitter/timelines/render:thrift-scala", + "src/thrift/com/twitter/timelinescorer:thrift-scala", + "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", + "src/thrift/com/twitter/timelinescorer/server/internal:thrift-scala", + "src/thrift/com/twitter/tweetypie:service-scala", + "stitch/stitch-gizmoduck", + "stitch/stitch-tweetypie", + "stringcenter/client", + "stringcenter/client/src/main/java", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/manhattan", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/model/candidate", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/store/persistence", + "timelines/src/main/scala/com/twitter/timelines/clients/relevance_search", + "timelines/src/main/scala/com/twitter/timelines/injection/scribe", + ], + exports = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "src/thrift/com/twitter/timelines/render:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingAdsCandidatePipelineBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingAdsCandidatePipelineBuilder.scala new file mode 100644 index 000000000..77477652f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingAdsCandidatePipelineBuilder.scala @@ -0,0 +1,102 @@ +package com.twitter.home_mixer.product.following + +import com.twitter.adserver.{thriftscala => ads} +import com.twitter.home_mixer.functional_component.decorator.HomeAdsClientEventDetailsBuilder +import com.twitter.home_mixer.functional_component.gate.ExcludeSoftUserGate +import com.twitter.home_mixer.param.HomeGlobalParams +import com.twitter.home_mixer.param.HomeGlobalParams.EnableAdvertiserBrandSafetySettingsFeatureHydratorParam +import com.twitter.home_mixer.product.following.model.FollowingQuery +import com.twitter.home_mixer.product.following.param.FollowingParam.EnableAdsCandidatePipelineParam +import com.twitter.home_mixer.product.following.param.FollowingParam.EnableFastAds +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.candidate_source.ads.AdsProdThriftCandidateSource +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.contextual_ref.ContextualTweetRefBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.ad.AdsCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.ClientEventInfoBuilder +import com.twitter.product_mixer.component_library.feature_hydrator.candidate.ads.AdvertiserBrandSafetySettingsFeatureHydrator +import com.twitter.product_mixer.component_library.feature_hydrator.candidate.param_gated.ParamGatedCandidateFeatureHydrator +import com.twitter.product_mixer.component_library.gate.NonEmptyCandidatesGate +import com.twitter.product_mixer.component_library.model.candidate.ads.AdsCandidate +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.AdsDependentCandidatePipelineConfig +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.AdsDependentCandidatePipelineConfigBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.CountCandidatesFromPipelines +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.PipelineScopedOrganicItemIds +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.ValidAdImpressionIdFilter +import com.twitter.product_mixer.core.functional_component.common.CandidateScope +import com.twitter.product_mixer.core.gate.ParamNotGate +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.rtf.safety_level.TimelineHomePromotedHydrationSafetyLevel +import com.twitter.product_mixer.core.model.marshalling.response.urt.contextual_ref.TweetHydrationContext +import com.twitter.timelines.injection.scribe.InjectionScribeUtil +import com.twitter.timelineservice.suggests.{thriftscala => st} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class FollowingAdsCandidatePipelineBuilder @Inject() ( + adsCandidatePipelineConfigBuilder: AdsDependentCandidatePipelineConfigBuilder, + adsCandidateSource: AdsProdThriftCandidateSource, + advertiserBrandSafetySettingsFeatureHydrator: AdvertiserBrandSafetySettingsFeatureHydrator[ + FollowingQuery, + AdsCandidate + ]) { + + private val identifier: CandidatePipelineIdentifier = CandidatePipelineIdentifier("FollowingAds") + + private val suggestType = st.SuggestType.Promoted + + private val clientEventInfoBuilder = ClientEventInfoBuilder( + component = InjectionScribeUtil.scribeComponent(suggestType).get, + detailsBuilder = Some(HomeAdsClientEventDetailsBuilder(Some(suggestType.name))) + ) + + private val contextualTweetRefBuilder = ContextualTweetRefBuilder( + TweetHydrationContext( + safetyLevelOverride = Some(TimelineHomePromotedHydrationSafetyLevel), + outerTweetContext = None + )) + + private val decorator = UrtItemCandidateDecorator( + AdsCandidateUrtItemBuilder( + tweetClientEventInfoBuilder = Some(clientEventInfoBuilder), + contextualTweetRefBuilder = Some(contextualTweetRefBuilder) + )) + + private val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert() + ) + + def build( + organicCandidatePipelines: CandidateScope + ): AdsDependentCandidatePipelineConfig[FollowingQuery] = + adsCandidatePipelineConfigBuilder.build[FollowingQuery]( + adsCandidateSource = adsCandidateSource, + identifier = identifier, + adsDisplayLocationBuilder = query => + if (query.params.getBoolean(EnableFastAds)) ads.DisplayLocation.TimelineHomeReverseChron + else ads.DisplayLocation.TimelineHome, + getOrganicItemIds = PipelineScopedOrganicItemIds(organicCandidatePipelines), + countNumOrganicItems = CountCandidatesFromPipelines(organicCandidatePipelines), + supportedClientParam = Some(EnableAdsCandidatePipelineParam), + gates = Seq( + ParamNotGate( + name = "AdsDisableInjectionBasedOnUserRole", + param = HomeGlobalParams.AdsDisableInjectionBasedOnUserRoleParam + ), + ExcludeSoftUserGate, + NonEmptyCandidatesGate(organicCandidatePipelines) + ), + filters = Seq(ValidAdImpressionIdFilter), + postFilterFeatureHydration = Seq( + ParamGatedCandidateFeatureHydrator( + EnableAdvertiserBrandSafetySettingsFeatureHydratorParam, + advertiserBrandSafetySettingsFeatureHydrator + ) + ), + decorator = Some(decorator), + alerts = alerts, + urtRequest = Some(true), + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdCandidatePipelineConfig.scala new file mode 100644 index 000000000..ea26ca19e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdCandidatePipelineConfig.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.product.following + +import com.twitter.home_mixer.candidate_pipeline.FollowingEarlybirdResponseFeatureTransformer +import com.twitter.home_mixer.functional_component.candidate_source.EarlybirdCandidateSource +import com.twitter.home_mixer.functional_component.feature_hydrator.SGSFollowedUsersFeature +import com.twitter.home_mixer.functional_component.gate.NonEmptySeqFeatureGate +import com.twitter.home_mixer.product.following.model.FollowingQuery +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.search.earlybird.{thriftscala => t} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class FollowingEarlybirdCandidatePipelineConfig @Inject() ( + earlybirdCandidateSource: EarlybirdCandidateSource, + followingEarlybirdQueryTransformer: FollowingEarlybirdQueryTransformer) + extends CandidatePipelineConfig[ + FollowingQuery, + t.EarlybirdRequest, + t.ThriftSearchResult, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("FollowingEarlybird") + + override val candidateSource: BaseCandidateSource[t.EarlybirdRequest, t.ThriftSearchResult] = + earlybirdCandidateSource + + override val gates: Seq[Gate[FollowingQuery]] = Seq( + NonEmptySeqFeatureGate(SGSFollowedUsersFeature) + ) + + override val queryTransformer: CandidatePipelineQueryTransformer[ + FollowingQuery, + t.EarlybirdRequest + ] = followingEarlybirdQueryTransformer + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[t.ThriftSearchResult] + ] = Seq(FollowingEarlybirdResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + t.ThriftSearchResult, + TweetCandidate + ] = { sourceResult => TweetCandidate(id = sourceResult.id) } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdQueryTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdQueryTransformer.scala new file mode 100644 index 000000000..9f7dd306e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdQueryTransformer.scala @@ -0,0 +1,84 @@ +package com.twitter.home_mixer.product.following + +import com.twitter.finagle.thrift.ClientId +import com.twitter.finagle.tracing.Trace +import com.twitter.home_mixer.functional_component.feature_hydrator.SGSFollowedUsersFeature +import com.twitter.home_mixer.model.HomeFeatures.RealGraphInNetworkScoresFeature +import com.twitter.home_mixer.product.following.model.FollowingQuery +import com.twitter.home_mixer.product.following.param.FollowingParam.ServerMaxResultsParam +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.BottomCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.GapCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.product_mixer.core.pipeline.pipeline_failure.MalformedCursor +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.search.common.schema.earlybird.EarlybirdFieldConstants.EarlybirdFieldConstant +import com.twitter.search.earlybird.{thriftscala => t} +import com.twitter.search.queryparser.query.Conjunction +import com.twitter.search.queryparser.query.search.SearchOperator +import javax.inject.Inject +import javax.inject.Singleton +import scala.jdk.CollectionConverters.asJavaIterableConverter + +@Singleton +case class FollowingEarlybirdQueryTransformer @Inject() (clientId: ClientId) + extends CandidatePipelineQueryTransformer[FollowingQuery, t.EarlybirdRequest] { + + override def transform(query: FollowingQuery): t.EarlybirdRequest = { + val followedUserIds = + query.features.map(_.get(SGSFollowedUsersFeature)).getOrElse(Seq.empty).toSet + val realGraphInNetworkFollowedUserIds = + query.features.map(_.get(RealGraphInNetworkScoresFeature)).getOrElse(Map.empty).keySet + val userId = query.getRequiredUserId + val combinedUserIds = userId +: (followedUserIds ++ realGraphInNetworkFollowedUserIds).toSeq + + val baseFollowedUsersSearchOperator = new SearchOperator.Builder() + .setType(SearchOperator.Type.FEATURE_VALUE_IN_ACCEPT_LIST_OR_UNSET) + .addOperand(EarlybirdFieldConstant.DIRECTED_AT_USER_ID_CSF.getFieldName) + + val followedUsersQuery = + baseFollowedUsersSearchOperator.addOperands(combinedUserIds.map(_.toString).asJava).build() + + val searchQuery = query.pipelineCursor + .map { cursor => + val sinceIdQuery = + (id: Long) => new SearchOperator(SearchOperator.Type.SINCE_ID, id.toString) + val maxIdQuery = // max ID is inclusive, so subtract 1 + (id: Long) => new SearchOperator(SearchOperator.Type.MAX_ID, (id - 1).toString) + + (cursor.cursorType, cursor.id, cursor.gapBoundaryId) match { + case (Some(TopCursor), Some(sinceId), _) => + new Conjunction(sinceIdQuery(sinceId), followedUsersQuery) + case (Some(BottomCursor), Some(maxId), _) => + new Conjunction(maxIdQuery(maxId), followedUsersQuery) + case (Some(GapCursor), Some(maxId), Some(sinceId)) => + new Conjunction(sinceIdQuery(sinceId), maxIdQuery(maxId), followedUsersQuery) + case (Some(GapCursor), _, _) => + throw PipelineFailure(MalformedCursor, "Invalid cursor " + cursor.toString) + case _ => followedUsersQuery + } + }.getOrElse(followedUsersQuery) + + val metadataOptions = t.ThriftSearchResultMetadataOptions( + getInReplyToStatusId = true, + getReferencedTweetAuthorId = true, + getFromUserId = true + ) + + t.EarlybirdRequest( + searchQuery = t.ThriftSearchQuery( + serializedQuery = Some(searchQuery.serialize), + fromUserIDFilter64 = Some(combinedUserIds), + numResults = query.requestedMaxResults.getOrElse(query.params(ServerMaxResultsParam)), + rankingMode = t.ThriftSearchRankingMode.Recency, + resultMetadataOptions = Some(metadataOptions), + searcherId = query.getOptionalUserId, + ), + getOlderResults = Some(true), // needed for archive access to older tweets + clientRequestID = Some(s"${Trace.id.traceId}"), + followedUserIds = Some(combinedUserIds), + numResultsToReturnAtRoot = Some(query.params(ServerMaxResultsParam)), + clientId = Some(clientId.name), + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdResponseFeatureTransformer.scala new file mode 100644 index 000000000..0169e6dd7 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingEarlybirdResponseFeatureTransformer.scala @@ -0,0 +1,38 @@ +package com.twitter.home_mixer.candidate_pipeline + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.search.earlybird.{thriftscala => t} + +object FollowingEarlybirdResponseFeatureTransformer + extends CandidateFeatureTransformer[t.ThriftSearchResult] { + + override val identifier: TransformerIdentifier = + TransformerIdentifier("FollowingEarlybirdResponse") + + override val features: Set[Feature[_, _]] = Set( + AuthorIdFeature, + InReplyToTweetIdFeature, + IsRetweetFeature, + SourceTweetIdFeature, + SourceUserIdFeature, + ) + + override def transform(candidate: t.ThriftSearchResult): FeatureMap = FeatureMapBuilder() + .add(AuthorIdFeature, candidate.tweetypieTweet.flatMap(_.coreData.map(_.userId))) + .add( + InReplyToTweetIdFeature, + candidate.tweetypieTweet.flatMap(_.coreData.flatMap(_.reply.flatMap(_.inReplyToStatusId)))) + .add(IsRetweetFeature, candidate.metadata.exists(_.isRetweet.contains(true))) + .add(SourceTweetIdFeature, candidate.sourceTweetypieTweet.map(_.id)) + .add(SourceUserIdFeature, candidate.sourceTweetypieTweet.flatMap(_.coreData.map(_.userId))) + .build() +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingMixerPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingMixerPipelineConfig.scala new file mode 100644 index 000000000..23b4164a5 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingMixerPipelineConfig.scala @@ -0,0 +1,278 @@ +package com.twitter.home_mixer.product.following + +import com.twitter.clientapp.{thriftscala => ca} +import com.twitter.goldfinch.api.AdsInjectionSurfaceAreas +import com.twitter.home_mixer.candidate_pipeline.ConversationServiceCandidatePipelineConfigBuilder +import com.twitter.home_mixer.candidate_pipeline.EditedTweetsCandidatePipelineConfig +import com.twitter.home_mixer.candidate_pipeline.NewTweetsPillCandidatePipelineConfig +import com.twitter.home_mixer.functional_component.decorator.HomeConversationServiceCandidateDecorator +import com.twitter.home_mixer.functional_component.decorator.HomeFeedbackActionInfoBuilder +import com.twitter.home_mixer.functional_component.decorator.urt.builder.AddEntriesWithReplaceAndShowAlertAndCoverInstructionBuilder +import com.twitter.home_mixer.functional_component.feature_hydrator._ +import com.twitter.home_mixer.functional_component.selector.UpdateHomeClientEventDetails +import com.twitter.home_mixer.functional_component.selector.UpdateNewTweetsPillDecoration +import com.twitter.home_mixer.functional_component.side_effect._ +import com.twitter.home_mixer.model.GapIncludeInstruction +import com.twitter.home_mixer.param.HomeGlobalParams.MaxNumberReplaceInstructionsParam +import com.twitter.home_mixer.product.following.model.FollowingQuery +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.home_mixer.product.following.param.FollowingParam.EnableFlipInjectionModuleCandidatePipelineParam +import com.twitter.home_mixer.product.following.param.FollowingParam.FlipInlineInjectionModulePosition +import com.twitter.home_mixer.product.following.param.FollowingParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.following.param.FollowingParam.WhoToFollowPositionParam +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.logpipeline.client.common.EventPublisher +import com.twitter.product_mixer.component_library.feature_hydrator.query.async.AsyncQueryFeatureHydrator +import com.twitter.product_mixer.component_library.gate.NonEmptyCandidatesGate +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.FlipPromptDependentCandidatePipelineConfigBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowArmCandidatePipelineConfig +import com.twitter.product_mixer.component_library.premarshaller.urt.UrtDomainMarshaller +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedBottomCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedGapCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedTopCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceAllEntries +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceEntryInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ShowAlertInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ShowCoverInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.StaticTimelineScribeConfigBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.UrtMetadataBuilder +import com.twitter.product_mixer.component_library.selector.DropMaxCandidates +import com.twitter.product_mixer.component_library.selector.DropMaxModuleItemCandidates +import com.twitter.product_mixer.component_library.selector.DropModuleTooFewModuleItemResults +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.component_library.selector.InsertFixedPositionResults +import com.twitter.product_mixer.component_library.selector.SelectConditionally +import com.twitter.product_mixer.component_library.selector.UpdateSortCandidates +import com.twitter.product_mixer.component_library.selector.ads.AdsInjector +import com.twitter.product_mixer.component_library.selector.ads.InsertAdResults +import com.twitter.product_mixer.core.functional_component.common.SpecificPipeline +import com.twitter.product_mixer.core.functional_component.common.SpecificPipelines +import com.twitter.product_mixer.core.functional_component.configapi.StaticParam +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.functional_component.marshaller.TransportMarshaller +import com.twitter.product_mixer.core.functional_component.marshaller.response.urt.UrtTransportMarshaller +import com.twitter.product_mixer.core.functional_component.premarshaller.DomainMarshaller +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.MixerPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineScribeConfig +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.pipeline.FailOpenPolicy +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.candidate.DependentCandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.mixer.MixerPipelineConfig +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import com.twitter.timelines.render.{thriftscala => urt} +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +@Singleton +class FollowingMixerPipelineConfig @Inject() ( + followingEarlybirdCandidatePipelineConfig: FollowingEarlybirdCandidatePipelineConfig, + conversationServiceCandidatePipelineConfigBuilder: ConversationServiceCandidatePipelineConfigBuilder[ + FollowingQuery + ], + homeFeedbackActionInfoBuilder: HomeFeedbackActionInfoBuilder, + followingAdsCandidatePipelineBuilder: FollowingAdsCandidatePipelineBuilder, + followingWhoToFollowArmCandidatePipelineConfigBuilder: FollowingWhoToFollowArmCandidatePipelineConfigBuilder, + flipPromptDependentCandidatePipelineConfigBuilder: FlipPromptDependentCandidatePipelineConfigBuilder, + editedTweetsCandidatePipelineConfig: EditedTweetsCandidatePipelineConfig, + newTweetsPillCandidatePipelineConfig: NewTweetsPillCandidatePipelineConfig[FollowingQuery], + dismissInfoQueryFeatureHydrator: DismissInfoQueryFeatureHydrator, + gizmoduckUserQueryFeatureHydrator: GizmoduckUserQueryFeatureHydrator, + persistenceStoreQueryFeatureHydrator: PersistenceStoreQueryFeatureHydrator, + realGraphInNetworkSourceQueryHydrator: RealGraphInNetworkScoresQueryFeatureHydrator, + requestQueryFeatureHydrator: RequestQueryFeatureHydrator[FollowingQuery], + sgsFollowedUsersQueryFeatureHydrator: SGSFollowedUsersQueryFeatureHydrator, + tweetImpressionsQueryFeatureHydrator: TweetImpressionsQueryFeatureHydrator[FollowingQuery], + lastNonPollingTimeQueryFeatureHydrator: LastNonPollingTimeQueryFeatureHydrator, + adsInjector: AdsInjector, + updateLastNonPollingTimeSideEffect: UpdateLastNonPollingTimeSideEffect[FollowingQuery, Timeline], + publishClientSentImpressionsEventBusSideEffect: PublishClientSentImpressionsEventBusSideEffect, + publishClientSentImpressionsManhattanSideEffect: PublishClientSentImpressionsManhattanSideEffect, + updateTimelinesPersistenceStoreSideEffect: UpdateTimelinesPersistenceStoreSideEffect, + truncateTimelinesPersistenceStoreSideEffect: TruncateTimelinesPersistenceStoreSideEffect, + homeTimelineServedEntriesSideEffect: HomeScribeServedEntriesSideEffect, + clientEventsScribeEventPublisher: EventPublisher[ca.LogEvent], + externalStrings: HomeMixerExternalStrings, + @ProductScoped stringCenterProvider: Provider[StringCenter], + urtTransportMarshaller: UrtTransportMarshaller) + extends MixerPipelineConfig[FollowingQuery, Timeline, urt.TimelineResponse] { + + override val identifier: MixerPipelineIdentifier = MixerPipelineIdentifier("Following") + + private val dependentCandidatesStep = MixerPipelineConfig.dependentCandidatePipelinesStep + private val resultSelectorsStep = MixerPipelineConfig.resultSelectorsStep + + override val fetchQueryFeatures: Seq[QueryFeatureHydrator[FollowingQuery]] = Seq( + requestQueryFeatureHydrator, + sgsFollowedUsersQueryFeatureHydrator, + realGraphInNetworkSourceQueryHydrator, + AsyncQueryFeatureHydrator(dependentCandidatesStep, dismissInfoQueryFeatureHydrator), + AsyncQueryFeatureHydrator(dependentCandidatesStep, gizmoduckUserQueryFeatureHydrator), + AsyncQueryFeatureHydrator(dependentCandidatesStep, persistenceStoreQueryFeatureHydrator), + AsyncQueryFeatureHydrator(dependentCandidatesStep, lastNonPollingTimeQueryFeatureHydrator), + AsyncQueryFeatureHydrator(resultSelectorsStep, tweetImpressionsQueryFeatureHydrator), + ) + + private val earlybirdCandidatePipelineScope = + SpecificPipeline(followingEarlybirdCandidatePipelineConfig.identifier) + + private val conversationServiceCandidatePipelineConfig = + conversationServiceCandidatePipelineConfigBuilder.build( + Seq(NonEmptyCandidatesGate(earlybirdCandidatePipelineScope)), + HomeConversationServiceCandidateDecorator(homeFeedbackActionInfoBuilder) + ) + + private val followingAdsCandidatePipelineConfig = + followingAdsCandidatePipelineBuilder.build(earlybirdCandidatePipelineScope) + + private val followingWhoToFollowArmCandidatePipelineConfig = + followingWhoToFollowArmCandidatePipelineConfigBuilder.build(earlybirdCandidatePipelineScope) + + private val flipPromptCandidatePipelineConfig = + flipPromptDependentCandidatePipelineConfigBuilder.build[FollowingQuery]( + supportedClientParam = Some(EnableFlipInjectionModuleCandidatePipelineParam) + ) + + override val candidatePipelines: Seq[CandidatePipelineConfig[FollowingQuery, _, _, _]] = + Seq(followingEarlybirdCandidatePipelineConfig) + + override val dependentCandidatePipelines: Seq[ + DependentCandidatePipelineConfig[FollowingQuery, _, _, _] + ] = Seq( + conversationServiceCandidatePipelineConfig, + followingAdsCandidatePipelineConfig, + followingWhoToFollowArmCandidatePipelineConfig, + flipPromptCandidatePipelineConfig, + editedTweetsCandidatePipelineConfig, + newTweetsPillCandidatePipelineConfig + ) + + override val failOpenPolicies: Map[CandidatePipelineIdentifier, FailOpenPolicy] = Map( + followingAdsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + followingWhoToFollowArmCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + flipPromptCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + editedTweetsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + newTweetsPillCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + ) + + override val resultSelectors: Seq[Selector[FollowingQuery]] = Seq( + UpdateSortCandidates( + ordering = CandidatesUtil.reverseChronTweetsOrdering, + candidatePipeline = conversationServiceCandidatePipelineConfig.identifier + ), + DropMaxCandidates( + candidatePipeline = editedTweetsCandidatePipelineConfig.identifier, + maxSelectionsParam = MaxNumberReplaceInstructionsParam + ), + DropMaxCandidates( + candidatePipeline = conversationServiceCandidatePipelineConfig.identifier, + maxSelectionsParam = ServerMaxResultsParam + ), + DropModuleTooFewModuleItemResults( + candidatePipeline = followingWhoToFollowArmCandidatePipelineConfig.identifier, + minModuleItemsParam = StaticParam(WhoToFollowArmCandidatePipelineConfig.MinCandidatesSize) + ), + DropMaxModuleItemCandidates( + candidatePipeline = followingWhoToFollowArmCandidatePipelineConfig.identifier, + maxModuleItemsParam = StaticParam(WhoToFollowArmCandidatePipelineConfig.MaxCandidatesSize) + ), + InsertAppendResults(candidatePipeline = conversationServiceCandidatePipelineConfig.identifier), + InsertFixedPositionResults( + candidatePipeline = followingWhoToFollowArmCandidatePipelineConfig.identifier, + positionParam = WhoToFollowPositionParam + ), + InsertFixedPositionResults( + candidatePipeline = flipPromptCandidatePipelineConfig.identifier, + positionParam = FlipInlineInjectionModulePosition + ), + InsertAdResults( + surfaceAreaName = AdsInjectionSurfaceAreas.HomeTimeline, + adsInjector = adsInjector.forSurfaceArea(AdsInjectionSurfaceAreas.HomeTimeline), + adsCandidatePipeline = followingAdsCandidatePipelineConfig.identifier + ), + // This selector must come after the tweets are inserted into the results + UpdateNewTweetsPillDecoration( + pipelineScope = SpecificPipelines( + conversationServiceCandidatePipelineConfig.identifier, + newTweetsPillCandidatePipelineConfig.identifier + ), + stringCenter = stringCenterProvider.get(), + seeNewTweetsString = externalStrings.seeNewTweetsString, + tweetedString = externalStrings.tweetedString + ), + InsertAppendResults(candidatePipeline = editedTweetsCandidatePipelineConfig.identifier), + SelectConditionally( + selector = + InsertAppendResults(candidatePipeline = newTweetsPillCandidatePipelineConfig.identifier), + includeSelector = (_, _, results) => CandidatesUtil.containsType[TweetCandidate](results) + ), + UpdateHomeClientEventDetails( + candidatePipelines = Set(conversationServiceCandidatePipelineConfig.identifier) + ), + ) + + private val homeScribeClientEventSideEffect = HomeScribeClientEventSideEffect( + logPipelinePublisher = clientEventsScribeEventPublisher, + injectedTweetsCandidatePipelineIdentifiers = + Seq(conversationServiceCandidatePipelineConfig.identifier), + adsCandidatePipelineIdentifier = followingAdsCandidatePipelineConfig.identifier, + whoToFollowCandidatePipelineIdentifier = + Some(followingWhoToFollowArmCandidatePipelineConfig.identifier), + ) + + override val resultSideEffects: Seq[PipelineResultSideEffect[FollowingQuery, Timeline]] = Seq( + updateLastNonPollingTimeSideEffect, + publishClientSentImpressionsEventBusSideEffect, + publishClientSentImpressionsManhattanSideEffect, + homeScribeClientEventSideEffect, + updateTimelinesPersistenceStoreSideEffect, + truncateTimelinesPersistenceStoreSideEffect, + homeTimelineServedEntriesSideEffect + ) + + override val domainMarshaller: DomainMarshaller[FollowingQuery, Timeline] = { + val instructionBuilders = Seq( + ReplaceEntryInstructionBuilder(ReplaceAllEntries), + AddEntriesWithReplaceAndShowAlertAndCoverInstructionBuilder(), + ShowAlertInstructionBuilder(), + ShowCoverInstructionBuilder(), + ) + + val idSelector: PartialFunction[UniversalNoun[_], Long] = { + // exclude ads while determining tweet cursor values + case item: TweetItem if item.promotedMetadata.isEmpty => item.id + case module: TimelineModule + if module.items.headOption.exists(_.item.isInstanceOf[TweetItem]) => + module.items.last.item match { case item: TweetItem => item.id } + } + val topCursorBuilder = OrderedTopCursorBuilder(idSelector) + val bottomCursorBuilder = + OrderedBottomCursorBuilder(idSelector, GapIncludeInstruction.inverse()) + val gapCursorBuilder = OrderedGapCursorBuilder(idSelector, GapIncludeInstruction) + + val metadataBuilder = UrtMetadataBuilder( + title = None, + scribeConfigBuilder = Some( + StaticTimelineScribeConfigBuilder( + TimelineScribeConfig(page = Some("following"), section = None, entityToken = None))) + ) + + UrtDomainMarshaller( + instructionBuilders = instructionBuilders, + metadataBuilder = Some(metadataBuilder), + cursorBuilders = Seq(topCursorBuilder, bottomCursorBuilder, gapCursorBuilder) + ) + } + + override val transportMarshaller: TransportMarshaller[Timeline, urt.TimelineResponse] = + urtTransportMarshaller +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingProductPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingProductPipelineConfig.scala new file mode 100644 index 000000000..28c7cd6a0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingProductPipelineConfig.scala @@ -0,0 +1,131 @@ +package com.twitter.home_mixer.product.following + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.marshaller.timelines.ChronologicalCursorUnmarshaller +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.home_mixer.model.request.FollowingProductContext +import com.twitter.home_mixer.model.request.HomeMixerRequest +import com.twitter.home_mixer.product.following.model.FollowingQuery +import com.twitter.home_mixer.product.following.param.FollowingParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.following.param.FollowingParamConfig +import com.twitter.home_mixer.service.HomeMixerAccessPolicy.DefaultHomeMixerAccessPolicy +import com.twitter.home_mixer.service.HomeMixerAlertConfig.DefaultNotificationGroup +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.component_library.premarshaller.cursor.UrtCursorSerializer +import com.twitter.product_mixer.core.functional_component.common.access_policy.AccessPolicy +import com.twitter.product_mixer.core.functional_component.common.alert.Alert +import com.twitter.product_mixer.core.functional_component.common.alert.EmptyResponseRateAlert +import com.twitter.product_mixer.core.functional_component.common.alert.LatencyAlert +import com.twitter.product_mixer.core.functional_component.common.alert.P99 +import com.twitter.product_mixer.core.functional_component.common.alert.SuccessRateAlert +import com.twitter.product_mixer.core.functional_component.common.alert.ThroughputAlert +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfAbove +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfBelow +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfLatencyAbove +import com.twitter.product_mixer.core.model.common.identifier.ComponentIdentifier +import com.twitter.product_mixer.core.model.common.identifier.ProductPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.Product +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.GapCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.product_mixer.core.pipeline.PipelineConfig +import com.twitter.product_mixer.core.pipeline.pipeline_failure.BadRequest +import com.twitter.product_mixer.core.pipeline.pipeline_failure.MalformedCursor +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.pipeline.product.ProductPipelineConfig +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.product_mixer.core.util.SortIndexBuilder +import com.twitter.timelines.configapi.Params +import com.twitter.timelines.render.{thriftscala => urt} +import com.twitter.timelines.util.RequestCursorSerializer +import com.twitter.util.Time +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class FollowingProductPipelineConfig @Inject() ( + followingMixerPipelineConfig: FollowingMixerPipelineConfig, + followingParamConfig: FollowingParamConfig) + extends ProductPipelineConfig[HomeMixerRequest, FollowingQuery, urt.TimelineResponse] { + + override val identifier: ProductPipelineIdentifier = ProductPipelineIdentifier("Following") + + override val product: Product = FollowingProduct + override val paramConfig: ProductParamConfig = followingParamConfig + + override def pipelineQueryTransformer( + request: HomeMixerRequest, + params: Params + ): FollowingQuery = { + val context = request.productContext match { + case Some(context: FollowingProductContext) => context + case _ => throw PipelineFailure(BadRequest, "FollowingProductContext not found") + } + + val debugOptions = request.debugParams.flatMap(_.debugOptions) + + /** + * Unlike other clients, newly created tweets on Android have the sort index set to the current + * time instead of the top sort index + 1, so these tweets get stuck at the top of the timeline + * if subsequent timeline responses use the sort index from the previous response instead of + * the current time. + */ + val pipelineCursor = request.serializedRequestCursor.flatMap { cursor => + Try(UrtCursorSerializer.deserializeOrderedCursor(cursor)) + .getOrElse(ChronologicalCursorUnmarshaller(RequestCursorSerializer.deserialize(cursor))) + .map { + case UrtOrderedCursor(_, id, Some(GapCursor), gapBoundaryId) + if id.isEmpty || gapBoundaryId.isEmpty => + throw PipelineFailure(MalformedCursor, "Gap Cursor bounds not defined") + case topCursor @ UrtOrderedCursor(_, _, Some(TopCursor), _) => + val queryTime = debugOptions.flatMap(_.requestTimeOverride).getOrElse(Time.now) + topCursor.copy(initialSortIndex = SortIndexBuilder.timeToId(queryTime)) + case cursor => cursor + } + } + + FollowingQuery( + params = params, + clientContext = request.clientContext, + features = None, + pipelineCursor = pipelineCursor, + requestedMaxResults = Some(params(ServerMaxResultsParam)), + debugOptions = debugOptions, + deviceContext = context.deviceContext, + seenTweetIds = context.seenTweetIds, + dspClientContext = context.dspClientContext + ) + } + + override val pipelines: Seq[PipelineConfig] = Seq(followingMixerPipelineConfig) + + override def pipelineSelector( + query: FollowingQuery + ): ComponentIdentifier = followingMixerPipelineConfig.identifier + + override val alerts: Seq[Alert] = Seq( + SuccessRateAlert( + notificationGroup = DefaultNotificationGroup, + warnPredicate = TriggerIfBelow(99.9, 20, 30), + criticalPredicate = TriggerIfBelow(99.9, 30, 30), + ), + LatencyAlert( + notificationGroup = DefaultNotificationGroup, + percentile = P99, + warnPredicate = TriggerIfLatencyAbove(1100.millis, 15, 30), + criticalPredicate = TriggerIfLatencyAbove(1200.millis, 15, 30) + ), + ThroughputAlert( + notificationGroup = DefaultNotificationGroup, + warnPredicate = TriggerIfAbove(18000), + criticalPredicate = TriggerIfAbove(20000) + ), + EmptyResponseRateAlert( + notificationGroup = DefaultNotificationGroup, + warnPredicate = TriggerIfAbove(65), + criticalPredicate = TriggerIfAbove(80) + ) + ) + + override val debugAccessPolicies: Set[AccessPolicy] = DefaultHomeMixerAccessPolicy +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingWhoToFollowArmCandidatePipelineConfigBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingWhoToFollowArmCandidatePipelineConfigBuilder.scala new file mode 100644 index 000000000..484a72d5f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/FollowingWhoToFollowArmCandidatePipelineConfigBuilder.scala @@ -0,0 +1,65 @@ +package com.twitter.home_mixer.product.following + +import com.twitter.home_mixer.functional_component.decorator.urt.builder.HomeWhoToFollowFeedbackActionInfoBuilder +import com.twitter.home_mixer.functional_component.gate.DismissFatigueGate +import com.twitter.home_mixer.functional_component.gate.TimelinesPersistenceStoreLastInjectionGate +import com.twitter.home_mixer.model.HomeFeatures.DismissInfoFeature +import com.twitter.home_mixer.model.HomeFeatures.PersistenceEntriesFeature +import com.twitter.home_mixer.model.HomeFeatures.WhoToFollowExcludedUserIdsFeature +import com.twitter.home_mixer.product.following.model.FollowingQuery +import com.twitter.home_mixer.product.following.param.FollowingParam.EnableWhoToFollowCandidatePipelineParam +import com.twitter.home_mixer.product.following.param.FollowingParam.WhoToFollowDisplayLocationParam +import com.twitter.home_mixer.product.following.param.FollowingParam.WhoToFollowDisplayTypeIdParam +import com.twitter.home_mixer.product.following.param.FollowingParam.WhoToFollowMinInjectionIntervalParam +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.ParamWhoToFollowModuleDisplayTypeBuilder +import com.twitter.product_mixer.component_library.gate.NonEmptyCandidatesGate +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowArmCandidatePipelineConfig +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowArmDependentCandidatePipelineConfig +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowArmDependentCandidatePipelineConfigBuilder +import com.twitter.product_mixer.core.functional_component.common.CandidateScope +import com.twitter.product_mixer.core.functional_component.configapi.StaticParam +import com.twitter.product_mixer.core.functional_component.gate.BaseGate +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelineservice.model.rich.EntityIdType +import com.twitter.timelineservice.suggests.thriftscala.SuggestType +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class FollowingWhoToFollowArmCandidatePipelineConfigBuilder @Inject() ( + whoToFollowArmDependentCandidatePipelineConfigBuilder: WhoToFollowArmDependentCandidatePipelineConfigBuilder, + homeWhoToFollowFeedbackActionInfoBuilder: HomeWhoToFollowFeedbackActionInfoBuilder) { + + def build( + requiredNonEmptyPipelines: CandidateScope + ): WhoToFollowArmDependentCandidatePipelineConfig[FollowingQuery] = { + val gates: Seq[BaseGate[PipelineQuery]] = Seq( + TimelinesPersistenceStoreLastInjectionGate( + WhoToFollowMinInjectionIntervalParam, + PersistenceEntriesFeature, + EntityIdType.WhoToFollow + ), + DismissFatigueGate(SuggestType.WhoToFollow, DismissInfoFeature), + NonEmptyCandidatesGate(requiredNonEmptyPipelines) + ) + + whoToFollowArmDependentCandidatePipelineConfigBuilder.build[FollowingQuery]( + identifier = WhoToFollowArmCandidatePipelineConfig.identifier, + supportedClientParam = Some(EnableWhoToFollowCandidatePipelineParam), + alerts = alerts, + gates = gates, + moduleDisplayTypeBuilder = + ParamWhoToFollowModuleDisplayTypeBuilder(WhoToFollowDisplayTypeIdParam), + feedbackActionInfoBuilder = Some(homeWhoToFollowFeedbackActionInfoBuilder), + displayLocationParam = StaticParam(WhoToFollowDisplayLocationParam.default), + excludedUserIdsFeature = Some(WhoToFollowExcludedUserIdsFeature), + profileUserIdFeature = None + ) + } + + private val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(70), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert() + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/BUILD.bazel new file mode 100644 index 000000000..70d5e5af9 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/BUILD.bazel @@ -0,0 +1,22 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "stringcenter/client", + "stringcenter/client/src/main/java", + ], + exports = [ + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/FollowingQuery.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/FollowingQuery.scala new file mode 100644 index 000000000..39442a61b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/FollowingQuery.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.product.following.model + +import com.twitter.adserver.thriftscala.HomeTimelineType +import com.twitter.adserver.thriftscala.TimelineRequestParams +import com.twitter.home_mixer.model.HomeAdsQuery +import com.twitter.dspbidder.commons.{thriftscala => dsp} +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.home_mixer.model.request.FollowingProduct +import com.twitter.onboarding.task.service.{thriftscala => ots} +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.transformer.HasFlipInjectionParams +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.request._ +import com.twitter.product_mixer.core.pipeline.HasPipelineCursor +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.configapi.Params + +case class FollowingQuery( + override val params: Params, + override val clientContext: ClientContext, + override val pipelineCursor: Option[UrtOrderedCursor], + override val requestedMaxResults: Option[Int], + override val debugOptions: Option[DebugOptions], + override val features: Option[FeatureMap], + override val deviceContext: Option[DeviceContext], + override val seenTweetIds: Option[Seq[Long]], + override val dspClientContext: Option[dsp.DspClientContext]) + extends PipelineQuery + with HasPipelineCursor[UrtOrderedCursor] + with HasDeviceContext + with HasSeenTweetIds + with HasFlipInjectionParams + with HomeAdsQuery { + override val product: Product = FollowingProduct + + override def withFeatureMap(features: FeatureMap): FollowingQuery = + copy(features = Some(features)) + + override val timelineRequestParams: Option[TimelineRequestParams] = + Some(TimelineRequestParams(homeTimelineType = Some(HomeTimelineType.HomeLatest))) + + // Fields below are used for FLIP Injection in Onboarding Task Service (OTS) + override val displayLocation: ots.DisplayLocation = ots.DisplayLocation.HomeLatestTimeline + override val rankingDisablerWithLatestControlsAvailable: Option[Boolean] = None + override val isEmptyState: Option[Boolean] = None + override val isFirstRequestAfterSignup: Option[Boolean] = None + override val isEndOfTimeline: Option[Boolean] = None +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/HomeMixerExternalStrings.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/HomeMixerExternalStrings.scala new file mode 100644 index 000000000..fb07bc12c --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model/HomeMixerExternalStrings.scala @@ -0,0 +1,66 @@ +package com.twitter.home_mixer.product.following.model + +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.ExternalStringRegistry +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +@Singleton +class HomeMixerExternalStrings @Inject() ( + @ProductScoped externalStringRegistryProvider: Provider[ExternalStringRegistry]) { + val seeNewTweetsString = + externalStringRegistryProvider.get().createProdString("SeeNewTweets") + val tweetedString = + externalStringRegistryProvider.get().createProdString("Tweeted") + val muteUserString = + externalStringRegistryProvider.get().createProdString("Feedback.muteUser") + val blockUserString = externalStringRegistryProvider.get().createProdString("Feedback.blockUser") + val unfollowUserString = + externalStringRegistryProvider.get().createProdString("Feedback.unfollowUser") + val unfollowUserConfirmationString = + externalStringRegistryProvider.get().createProdString("Feedback.unfollowUserConfirmation") + val reportTweetString = + externalStringRegistryProvider.get().createProdString("Feedback.reportTweet") + val dontLikeString = externalStringRegistryProvider.get().createProdString("Feedback.dontLike") + val dontLikeConfirmationString = + externalStringRegistryProvider.get().createProdString("Feedback.dontLikeConfirmation") + val showFewerTweetsString = + externalStringRegistryProvider.get().createProdString("Feedback.showFewerTweets") + val showFewerTweetsConfirmationString = + externalStringRegistryProvider.get().createProdString("Feedback.showFewerTweetsConfirmation") + val showFewerRetweetsString = + externalStringRegistryProvider.get().createProdString("Feedback.showFewerRetweets") + val showFewerRetweetsConfirmationString = + externalStringRegistryProvider.get().createProdString("Feedback.showFewerRetweetsConfirmation") + val notRelevantString = + externalStringRegistryProvider.get().createProdString("Feedback.notRelevant") + val notRelevantConfirmationString = + externalStringRegistryProvider.get().createProdString("Feedback.notRelevantConfirmation") + + val socialContextOneUserLikedString = + externalStringRegistryProvider.get().createProdString("SocialContext.oneUserLiked") + val socialContextTwoUsersLikedString = + externalStringRegistryProvider.get().createProdString("SocialContext.twoUsersLiked") + val socialContextMoreUsersLikedString = + externalStringRegistryProvider.get().createProdString("SocialContext.moreUsersLiked") + val socialContextLikedByTimelineTitle = + externalStringRegistryProvider.get().createProdString("SocialContext.likedByTimelineTitle") + + val socialContextOneUserFollowsString = + externalStringRegistryProvider.get().createProdString("SocialContext.oneUserFollows") + val socialContextTwoUsersFollowString = + externalStringRegistryProvider.get().createProdString("SocialContext.twoUsersFollow") + val socialContextMoreUsersFollowString = + externalStringRegistryProvider.get().createProdString("SocialContext.moreUsersFollow") + val socialContextFollowedByTimelineTitle = + externalStringRegistryProvider.get().createProdString("SocialContext.followedByTimelineTitle") + + val socialContextYouMightLikeString = + externalStringRegistryProvider.get().createProdString("SocialContext.youMightLike") + + val socialContextExtendedReply = + externalStringRegistryProvider.get().createProdString("SocialContext.extendedReply") + val socialContextReceivedReply = + externalStringRegistryProvider.get().createProdString("SocialContext.receivedReply") +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/BUILD.bazel new file mode 100644 index 000000000..a56e3a1fd --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/BUILD.bazel @@ -0,0 +1,14 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "util/util-core/src/main/scala/com/twitter/conversions", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/FollowingParam.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/FollowingParam.scala new file mode 100644 index 000000000..e43990507 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/FollowingParam.scala @@ -0,0 +1,85 @@ +package com.twitter.home_mixer.product.following.param + +import com.twitter.conversions.DurationOps._ +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.WhoToFollowModuleDisplayType +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.util.Duration + +object FollowingParam { + val SupportedClientFSName = "following_supported_client" + + object ServerMaxResultsParam + extends FSBoundedParam[Int]( + name = "following_server_max_results", + default = 100, + min = 1, + max = 500 + ) + + object EnableWhoToFollowCandidatePipelineParam + extends FSParam[Boolean]( + name = "following_enable_who_to_follow", + default = true + ) + + object EnableAdsCandidatePipelineParam + extends FSParam[Boolean]( + name = "following_enable_ads", + default = true + ) + + object EnableFlipInjectionModuleCandidatePipelineParam + extends FSParam[Boolean]( + name = "following_enable_flip_inline_injection_module", + default = true + ) + + object FlipInlineInjectionModulePosition + extends FSBoundedParam[Int]( + name = "following_flip_inline_injection_module_position", + default = 0, + min = 0, + max = 1000 + ) + + object WhoToFollowPositionParam + extends FSBoundedParam[Int]( + name = "following_who_to_follow_position", + default = 5, + min = 0, + max = 99 + ) + + object WhoToFollowMinInjectionIntervalParam + extends FSBoundedParam[Duration]( + "following_who_to_follow_min_injection_interval_in_minutes", + default = 1800.minutes, + min = 0.minutes, + max = 6000.minutes) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromMinutes + } + + object WhoToFollowDisplayTypeIdParam + extends FSEnumParam[WhoToFollowModuleDisplayType.type]( + name = "following_enable_who_to_follow_display_type_id", + default = WhoToFollowModuleDisplayType.Vertical, + enum = WhoToFollowModuleDisplayType + ) + + object WhoToFollowDisplayLocationParam + extends FSParam[String]( + name = "following_who_to_follow_display_location", + default = "timeline_reverse_chron" + ) + + object EnableFastAds + extends FSParam[Boolean]( + name = "following_enable_fast_ads", + default = true + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/FollowingParamConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/FollowingParamConfig.scala new file mode 100644 index 000000000..df3b54801 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/param/FollowingParamConfig.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.product.following.param + +import com.twitter.home_mixer.param.decider.DeciderKey +import com.twitter.home_mixer.product.following.param.FollowingParam._ +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.servo.decider.DeciderKeyName +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class FollowingParamConfig @Inject() () extends ProductParamConfig { + override val enabledDeciderKey: DeciderKeyName = DeciderKey.EnableFollowingProduct + override val supportedClientFSName: String = SupportedClientFSName + + override val booleanFSOverrides = + Seq( + EnableFlipInjectionModuleCandidatePipelineParam, + EnableWhoToFollowCandidatePipelineParam, + EnableAdsCandidatePipelineParam, + EnableFastAds, + ) + + override val boundedIntFSOverrides = Seq( + FlipInlineInjectionModulePosition, + WhoToFollowPositionParam, + ServerMaxResultsParam + ) + + override val stringFSOverrides = Seq(WhoToFollowDisplayLocationParam) + + override val boundedDurationFSOverrides = Seq(WhoToFollowMinInjectionIntervalParam) + + override val enumFSOverrides = Seq(WhoToFollowDisplayTypeIdParam) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/BUILD.bazel new file mode 100644 index 000000000..8371cbdf1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/BUILD.bazel @@ -0,0 +1,87 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "ads-injection/lib/src/main/scala/com/twitter/goldfinch/api", + "finagle/finagle-memcached/src/main/scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-core/src/main/scala/com/twitter/inject", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/candidate_source", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/param_gated", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/tweet_is_nsfw", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/async", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/impressed_tweets", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/who_to_follow_module", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tweet_tlx", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect", + "product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/product_pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor", + "src/java/com/twitter/search/common/util/lang", + "src/scala/com/twitter/suggests/controller_data", + "src/thrift/com/twitter/search/common:constants-java", + "src/thrift/com/twitter/timelines/render:thrift-scala", + "src/thrift/com/twitter/timelines/suggests/common:poly_data_record-java", + "src/thrift/com/twitter/timelineservice:thrift-scala", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/model/candidate", + "timelines/src/main/scala/com/twitter/timelines/injection/scribe", + "timelines/src/main/scala/com/twitter/timelines/model/candidate", + ], + exports = [ + "src/thrift/com/twitter/timelines/render:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouAdsCandidatePipelineBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouAdsCandidatePipelineBuilder.scala new file mode 100644 index 000000000..82963f5bb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouAdsCandidatePipelineBuilder.scala @@ -0,0 +1,94 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.product_mixer.component_library.feature_hydrator.candidate.param_gated.ParamGatedCandidateFeatureHydrator +import com.twitter.adserver.{thriftscala => ads} +import com.twitter.home_mixer.functional_component.decorator.HomeAdsClientEventDetailsBuilder +import com.twitter.home_mixer.functional_component.gate.ExcludeSoftUserGate +import com.twitter.home_mixer.param.HomeGlobalParams +import com.twitter.home_mixer.param.HomeGlobalParams.EnableAdvertiserBrandSafetySettingsFeatureHydratorParam +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.product.for_you.param.ForYouParam.AdsNumOrganicItemsParam +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.candidate_source.ads.AdsProdThriftCandidateSource +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.contextual_ref.ContextualTweetRefBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.ad.AdsCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.ClientEventInfoBuilder +import com.twitter.product_mixer.component_library.feature_hydrator.candidate.ads.AdvertiserBrandSafetySettingsFeatureHydrator +import com.twitter.product_mixer.component_library.model.candidate.ads.AdsCandidate +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.AdsCandidatePipelineConfig +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.AdsCandidatePipelineConfigBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.StaticAdsDisplayLocationBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.ValidAdImpressionIdFilter +import com.twitter.product_mixer.core.functional_component.common.CandidateScope +import com.twitter.product_mixer.core.gate.ParamNotGate +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.rtf.safety_level.TimelineHomePromotedHydrationSafetyLevel +import com.twitter.product_mixer.core.model.marshalling.response.urt.contextual_ref.TweetHydrationContext +import com.twitter.timelines.injection.scribe.InjectionScribeUtil +import com.twitter.timelineservice.suggests.{thriftscala => st} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ForYouAdsCandidatePipelineBuilder @Inject() ( + adsCandidatePipelineConfigBuilder: AdsCandidatePipelineConfigBuilder, + adsCandidateSource: AdsProdThriftCandidateSource, + advertiserBrandSafetySettingsFeatureHydrator: AdvertiserBrandSafetySettingsFeatureHydrator[ + ForYouQuery, + AdsCandidate + ]) { + + private val identifier: CandidatePipelineIdentifier = CandidatePipelineIdentifier("ForYouAds") + + private val suggestType = st.SuggestType.Promoted + + private val clientEventInfoBuilder = ClientEventInfoBuilder( + component = InjectionScribeUtil.scribeComponent(suggestType).get, + detailsBuilder = Some(HomeAdsClientEventDetailsBuilder(Some(suggestType.name))) + ) + + private val contextualTweetRefBuilder = ContextualTweetRefBuilder( + TweetHydrationContext( + safetyLevelOverride = Some(TimelineHomePromotedHydrationSafetyLevel), + outerTweetContext = None + )) + + private val decorator = UrtItemCandidateDecorator( + AdsCandidateUrtItemBuilder( + tweetClientEventInfoBuilder = Some(clientEventInfoBuilder), + contextualTweetRefBuilder = Some(contextualTweetRefBuilder) + )) + + private val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert() + ) + + def build( + organicCandidatePipelines: Option[CandidateScope] = None + ): AdsCandidatePipelineConfig[ForYouQuery] = + adsCandidatePipelineConfigBuilder.build[ForYouQuery]( + adsCandidateSource = adsCandidateSource, + identifier = identifier, + adsDisplayLocationBuilder = StaticAdsDisplayLocationBuilder(ads.DisplayLocation.TimelineHome), + estimateNumOrganicItems = _.params(AdsNumOrganicItemsParam).toShort, + gates = Seq( + ParamNotGate( + name = "AdsDisableInjectionBasedOnUserRole", + param = HomeGlobalParams.AdsDisableInjectionBasedOnUserRoleParam + ), + ExcludeSoftUserGate + ), + filters = Seq(ValidAdImpressionIdFilter), + postFilterFeatureHydration = Seq( + ParamGatedCandidateFeatureHydrator( + EnableAdvertiserBrandSafetySettingsFeatureHydratorParam, + advertiserBrandSafetySettingsFeatureHydrator + ) + ), + decorator = Some(decorator), + alerts = alerts, + urtRequest = Some(true), + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouConversationServiceCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouConversationServiceCandidatePipelineConfig.scala new file mode 100644 index 000000000..3f69ad888 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouConversationServiceCandidatePipelineConfig.scala @@ -0,0 +1,135 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.home_mixer.candidate_pipeline.ConversationServiceResponseFeatureTransformer +import com.twitter.home_mixer.functional_component.decorator.HomeConversationServiceCandidateDecorator +import com.twitter.home_mixer.functional_component.decorator.HomeFeedbackActionInfoBuilder +import com.twitter.home_mixer.functional_component.feature_hydrator.NamesFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.SocialGraphServiceFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.TimelineServiceTweetsFeature +import com.twitter.home_mixer.functional_component.feature_hydrator.TweetypieFeatureHydrator +import com.twitter.home_mixer.functional_component.filter.InvalidConversationModuleFilter +import com.twitter.home_mixer.functional_component.filter.PredicateFeatureFilter +import com.twitter.home_mixer.functional_component.filter.PreviouslySeenTweetsFilter +import com.twitter.home_mixer.functional_component.filter.PreviouslyServedTweetsFilter +import com.twitter.home_mixer.functional_component.filter.RetweetDeduplicationFilter +import com.twitter.home_mixer.functional_component.gate.NonEmptySeqFeatureGate +import com.twitter.home_mixer.model.HomeFeatures.IsHydratedFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetDroppedFeature +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc.ConversationServiceCandidateSource +import com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc.ConversationServiceCandidateSourceRequest +import com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc.TweetWithConversationMetadata +import com.twitter.product_mixer.component_library.filter.FeatureFilter +import com.twitter.product_mixer.component_library.gate.NoCandidatesGate +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.common.SpecificPipelines +import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.gate.BaseGate +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.functional_component.transformer.DependentCandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.candidate.DependentCandidatePipelineConfig +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config that fetches Tweet ancestors from Conversation Service Candidate Source + */ +@Singleton +class ForYouConversationServiceCandidatePipelineConfig @Inject() ( + forYouScoredTweetsCandidatePipelineConfig: ForYouScoredTweetsCandidatePipelineConfig, + forYouTimelineScorerCandidatePipelineConfig: ForYouTimelineScorerCandidatePipelineConfig, + conversationServiceCandidateSource: ConversationServiceCandidateSource, + tweetypieFeatureHydrator: TweetypieFeatureHydrator, + socialGraphServiceFeatureHydrator: SocialGraphServiceFeatureHydrator, + namesFeatureHydrator: NamesFeatureHydrator, + homeFeedbackActionInfoBuilder: HomeFeedbackActionInfoBuilder) + extends DependentCandidatePipelineConfig[ + ForYouQuery, + ConversationServiceCandidateSourceRequest, + TweetWithConversationMetadata, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ForYouConversationService") + + override val gates: Seq[BaseGate[ForYouQuery]] = Seq( + NoCandidatesGate( + SpecificPipelines( + forYouTimelineScorerCandidatePipelineConfig.identifier, + forYouScoredTweetsCandidatePipelineConfig.identifier + ) + ), + NonEmptySeqFeatureGate(TimelineServiceTweetsFeature) + ) + + override val candidateSource: BaseCandidateSource[ + ConversationServiceCandidateSourceRequest, + TweetWithConversationMetadata + ] = conversationServiceCandidateSource + + override val queryTransformer: DependentCandidatePipelineQueryTransformer[ + ForYouQuery, + ConversationServiceCandidateSourceRequest + ] = { (query, candidates) => + val timelineServiceTweets = query.features + .map(_.getOrElse(TimelineServiceTweetsFeature, Seq.empty)).getOrElse(Seq.empty) + + val tweetsWithConversationMetadata = timelineServiceTweets.map { id => + TweetWithConversationMetadata( + tweetId = id, + userId = None, + sourceTweetId = None, + sourceUserId = None, + inReplyToTweetId = None, + conversationId = None, + ancestors = Seq.empty + ) + } + ConversationServiceCandidateSourceRequest(tweetsWithConversationMetadata) + } + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[TweetWithConversationMetadata] + ] = Seq(ConversationServiceResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + TweetWithConversationMetadata, + TweetCandidate + ] = { sourceResult => TweetCandidate(id = sourceResult.tweetId) } + + override val preFilterFeatureHydrationPhase1: Seq[ + BaseCandidateFeatureHydrator[ForYouQuery, TweetCandidate, _] + ] = Seq(tweetypieFeatureHydrator, socialGraphServiceFeatureHydrator) + + override def filters: Seq[Filter[ForYouQuery, TweetCandidate]] = Seq( + PreviouslyServedTweetsFilter, + PreviouslySeenTweetsFilter, + RetweetDeduplicationFilter, + FeatureFilter.fromFeature(FilterIdentifier("TweetypieHydrated"), IsHydratedFeature), + PredicateFeatureFilter.fromPredicate( + FilterIdentifier("QuotedTweetDropped"), + shouldKeepCandidate = { features => !features.getOrElse(QuotedTweetDroppedFeature, false) } + ), + InvalidConversationModuleFilter + ) + + override val postFilterFeatureHydration: Seq[ + BaseCandidateFeatureHydrator[ForYouQuery, TweetCandidate, _] + ] = Seq(namesFeatureHydrator) + + override val decorator: Option[CandidateDecorator[ForYouQuery, TweetCandidate]] = + HomeConversationServiceCandidateDecorator(homeFeedbackActionInfoBuilder) + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert() + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouProductPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouProductPipelineConfig.scala new file mode 100644 index 000000000..e84b05389 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouProductPipelineConfig.scala @@ -0,0 +1,135 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.marshaller.timelines.ChronologicalCursorUnmarshaller +import com.twitter.home_mixer.model.request.HomeMixerRequest +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.model.request.ForYouProductContext +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.product.for_you.param.ForYouParam.EnableScoredTweetsMixerPipelineParam +import com.twitter.home_mixer.product.for_you.param.ForYouParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.for_you.param.ForYouParamConfig +import com.twitter.home_mixer.service.HomeMixerAccessPolicy.DefaultHomeMixerAccessPolicy +import com.twitter.home_mixer.service.HomeMixerAlertConfig.DefaultNotificationGroup +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.component_library.premarshaller.cursor.UrtCursorSerializer +import com.twitter.product_mixer.core.functional_component.common.access_policy.AccessPolicy +import com.twitter.product_mixer.core.functional_component.common.alert.Alert +import com.twitter.product_mixer.core.functional_component.common.alert.EmptyResponseRateAlert +import com.twitter.product_mixer.core.functional_component.common.alert.LatencyAlert +import com.twitter.product_mixer.core.functional_component.common.alert.P99 +import com.twitter.product_mixer.core.functional_component.common.alert.SuccessRateAlert +import com.twitter.product_mixer.core.functional_component.common.alert.ThroughputAlert +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfAbove +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfBelow +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfLatencyAbove +import com.twitter.product_mixer.core.model.common.identifier.ComponentIdentifier +import com.twitter.product_mixer.core.model.common.identifier.ProductPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.Product +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.product_mixer.core.pipeline.PipelineConfig +import com.twitter.product_mixer.core.pipeline.pipeline_failure.BadRequest +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.pipeline.product.ProductPipelineConfig +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.product_mixer.core.util.SortIndexBuilder +import com.twitter.timelines.configapi.Params +import com.twitter.timelines.render.{thriftscala => urt} +import com.twitter.timelines.util.RequestCursorSerializer +import com.twitter.util.Time +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ForYouProductPipelineConfig @Inject() ( + forYouTimelineScorerMixerPipelineConfig: ForYouTimelineScorerMixerPipelineConfig, + forYouScoredTweetsMixerPipelineConfig: ForYouScoredTweetsMixerPipelineConfig, + forYouParamConfig: ForYouParamConfig) + extends ProductPipelineConfig[HomeMixerRequest, ForYouQuery, urt.TimelineResponse] { + + override val identifier: ProductPipelineIdentifier = ProductPipelineIdentifier("ForYou") + + override val product: Product = ForYouProduct + + override val paramConfig: ProductParamConfig = forYouParamConfig + + override def pipelineQueryTransformer( + request: HomeMixerRequest, + params: Params + ): ForYouQuery = { + val context = request.productContext match { + case Some(context: ForYouProductContext) => context + case _ => throw PipelineFailure(BadRequest, "ForYouProductContext not found") + } + + val debugOptions = request.debugParams.flatMap(_.debugOptions) + + /** + * Unlike other clients, newly created tweets on Android have the sort index set to the current + * time instead of the top sort index + 1, so these tweets get stuck at the top of the timeline + * if subsequent timeline responses use the sort index from the previous response instead of + * the current time. + */ + val pipelineCursor = request.serializedRequestCursor.flatMap { cursor => + Try(UrtCursorSerializer.deserializeOrderedCursor(cursor)) + .getOrElse(ChronologicalCursorUnmarshaller(RequestCursorSerializer.deserialize(cursor))) + .map { + case topCursor @ UrtOrderedCursor(_, _, Some(TopCursor), _) => + val queryTime = debugOptions.flatMap(_.requestTimeOverride).getOrElse(Time.now) + topCursor.copy(initialSortIndex = SortIndexBuilder.timeToId(queryTime)) + case cursor => cursor + } + } + + ForYouQuery( + params = params, + clientContext = request.clientContext, + features = None, + pipelineCursor = pipelineCursor, + requestedMaxResults = Some(params(ServerMaxResultsParam)), + debugOptions = debugOptions, + deviceContext = context.deviceContext, + seenTweetIds = context.seenTweetIds, + dspClientContext = context.dspClientContext + ) + } + + override val pipelines: Seq[PipelineConfig] = + Seq(forYouTimelineScorerMixerPipelineConfig, forYouScoredTweetsMixerPipelineConfig) + + override def pipelineSelector( + query: ForYouQuery + ): ComponentIdentifier = { + if (query.params.getBoolean(EnableScoredTweetsMixerPipelineParam)) + forYouScoredTweetsMixerPipelineConfig.identifier + else + forYouTimelineScorerMixerPipelineConfig.identifier + } + + override val alerts: Seq[Alert] = Seq( + SuccessRateAlert( + notificationGroup = DefaultNotificationGroup, + warnPredicate = TriggerIfBelow(99.9, 20, 30), + criticalPredicate = TriggerIfBelow(99.9, 30, 30), + ), + LatencyAlert( + notificationGroup = DefaultNotificationGroup, + percentile = P99, + warnPredicate = TriggerIfLatencyAbove(2000.millis, 15, 30), + criticalPredicate = TriggerIfLatencyAbove(2100.millis, 15, 30) + ), + ThroughputAlert( + notificationGroup = DefaultNotificationGroup, + warnPredicate = TriggerIfAbove(70000), + criticalPredicate = TriggerIfAbove(80000) + ), + EmptyResponseRateAlert( + notificationGroup = DefaultNotificationGroup, + warnPredicate = TriggerIfAbove(2), + criticalPredicate = TriggerIfAbove(3) + ) + ) + + override val debugAccessPolicies: Set[AccessPolicy] = DefaultHomeMixerAccessPolicy +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsCandidatePipelineConfig.scala new file mode 100644 index 000000000..a8e2c36da --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsCandidatePipelineConfig.scala @@ -0,0 +1,166 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.home_mixer.functional_component.decorator.HomeFeedbackActionInfoBuilder +import com.twitter.home_mixer.functional_component.decorator.HomeTimelinesScoreInfoBuilder +import com.twitter.home_mixer.functional_component.decorator.HomeTweetSocialContextBuilder +import com.twitter.home_mixer.functional_component.decorator.builder.HomeClientEventInfoBuilder +import com.twitter.home_mixer.functional_component.decorator.builder.HomeConversationModuleMetadataBuilder +import com.twitter.home_mixer.functional_component.feature_hydrator.FocalTweetFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.NamesFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.PerspectiveFilteredSocialContextFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.SGSValidSocialContextFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.TweetypieFeatureHydrator +import com.twitter.home_mixer.functional_component.filter.FeedbackFatigueFilter +import com.twitter.home_mixer.functional_component.filter.InvalidConversationModuleFilter +import com.twitter.home_mixer.functional_component.filter.PredicateFeatureFilter +import com.twitter.home_mixer.functional_component.filter.SocialContextFilter +import com.twitter.home_mixer.functional_component.gate.SupportedLanguagesGate +import com.twitter.home_mixer.functional_component.scorer.FeedbackFatigueScorer +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleFocalTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.IsHydratedFeature +import com.twitter.home_mixer.model.HomeFeatures.IsNsfwFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetDroppedFeature +import com.twitter.home_mixer.product.for_you.candidate_source.ScoredTweetWithConversationMetadata +import com.twitter.home_mixer.product.for_you.candidate_source.ScoredTweetsProductCandidateSource +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.product.for_you.param.ForYouParam.EnableScoredTweetsCandidatePipelineParam +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.UrtMultipleModulesDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.tweet.TweetCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.ManualModuleId +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.StaticModuleDisplayTypeBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.TimelineModuleBuilder +import com.twitter.product_mixer.component_library.filter.FeatureFilter +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.EntryNamespace +import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.VerticalConversation +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.timelines.configapi.decider.DeciderParam +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ForYouScoredTweetsCandidatePipelineConfig @Inject() ( + scoredTweetsProductCandidateSource: ScoredTweetsProductCandidateSource, + tweetypieFeatureHydrator: TweetypieFeatureHydrator, + namesFeatureHydrator: NamesFeatureHydrator, + sgsValidSocialContextFeatureHydrator: SGSValidSocialContextFeatureHydrator, + perspectiveFilteredSocialContextFeatureHydrator: PerspectiveFilteredSocialContextFeatureHydrator, + focalTweetFeatureHydrator: FocalTweetFeatureHydrator, + homeFeedbackActionInfoBuilder: HomeFeedbackActionInfoBuilder, + homeTweetSocialContextBuilder: HomeTweetSocialContextBuilder) + extends CandidatePipelineConfig[ + ForYouQuery, + ForYouQuery, + ScoredTweetWithConversationMetadata, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ForYouScoredTweets") + + private val TweetypieHydratedFilterId = "TweetypieHydrated" + private val QuotedTweetDroppedFilterId = "QuotedTweetDropped" + private val OutOfNetworkNSFWFilterId = "OutOfNetworkNSFW" + private val ConversationModuleNamespace = EntryNamespace("home-conversation") + + override val gates: Seq[Gate[ForYouQuery]] = Seq(SupportedLanguagesGate) + + override val candidateSource: CandidateSource[ForYouQuery, ScoredTweetWithConversationMetadata] = + scoredTweetsProductCandidateSource + + override val enabledDeciderParam: Option[DeciderParam[Boolean]] = + Some(EnableScoredTweetsCandidatePipelineParam) + + override val queryTransformer: CandidatePipelineQueryTransformer[ForYouQuery, ForYouQuery] = + identity + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[ScoredTweetWithConversationMetadata] + ] = Seq(ForYouScoredTweetsResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + ScoredTweetWithConversationMetadata, + TweetCandidate + ] = { sourceResults => TweetCandidate(sourceResults.tweetId) } + + override val preFilterFeatureHydrationPhase1: Seq[ + BaseCandidateFeatureHydrator[ForYouQuery, TweetCandidate, _] + ] = Seq( + namesFeatureHydrator, + tweetypieFeatureHydrator, + sgsValidSocialContextFeatureHydrator, + perspectiveFilteredSocialContextFeatureHydrator, + ) + + override val filters: Seq[Filter[ForYouQuery, TweetCandidate]] = Seq( + FeatureFilter.fromFeature(FilterIdentifier(TweetypieHydratedFilterId), IsHydratedFeature), + PredicateFeatureFilter.fromPredicate( + FilterIdentifier(QuotedTweetDroppedFilterId), + shouldKeepCandidate = { features => !features.getOrElse(QuotedTweetDroppedFeature, false) } + ), + PredicateFeatureFilter.fromPredicate( + FilterIdentifier(OutOfNetworkNSFWFilterId), + shouldKeepCandidate = { features => + features.getOrElse(InNetworkFeature, false) || + !features.getOrElse(IsNsfwFeature, false) + } + ), + FeedbackFatigueFilter, + SocialContextFilter, + InvalidConversationModuleFilter + ) + + override val postFilterFeatureHydration: Seq[ + BaseCandidateFeatureHydrator[ForYouQuery, TweetCandidate, _] + ] = Seq(focalTweetFeatureHydrator) + + override val scorers: Seq[Scorer[ForYouQuery, TweetCandidate]] = Seq(FeedbackFatigueScorer) + + override val decorator: Option[CandidateDecorator[ForYouQuery, TweetCandidate]] = { + val clientEventInfoBuilder = HomeClientEventInfoBuilder() + + val tweetItemBuilder = TweetCandidateUrtItemBuilder( + clientEventInfoBuilder = clientEventInfoBuilder, + socialContextBuilder = Some(homeTweetSocialContextBuilder), + timelinesScoreInfoBuilder = Some(HomeTimelinesScoreInfoBuilder), + feedbackActionInfoBuilder = Some(homeFeedbackActionInfoBuilder) + ) + + val tweetDecorator = UrtItemCandidateDecorator(tweetItemBuilder) + + val moduleBuilder = TimelineModuleBuilder( + entryNamespace = ConversationModuleNamespace, + clientEventInfoBuilder = clientEventInfoBuilder, + moduleIdGeneration = ManualModuleId(0L), + displayTypeBuilder = StaticModuleDisplayTypeBuilder(VerticalConversation), + metadataBuilder = Some(HomeConversationModuleMetadataBuilder()) + ) + + Some( + UrtMultipleModulesDecorator( + urtItemCandidateDecorator = tweetDecorator, + moduleBuilder = moduleBuilder, + groupByKey = (_, _, candidateFeatures) => + candidateFeatures.getOrElse(ConversationModuleFocalTweetIdFeature, None) + )) + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert(10, 20) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsMixerPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsMixerPipelineConfig.scala new file mode 100644 index 000000000..29cb63678 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsMixerPipelineConfig.scala @@ -0,0 +1,317 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.clientapp.{thriftscala => ca} +import com.twitter.goldfinch.api.AdsInjectionSurfaceAreas +import com.twitter.home_mixer.candidate_pipeline.EditedTweetsCandidatePipelineConfig +import com.twitter.home_mixer.candidate_pipeline.NewTweetsPillCandidatePipelineConfig +import com.twitter.home_mixer.functional_component.decorator.urt.builder.AddEntriesWithReplaceAndShowAlertAndCoverInstructionBuilder +import com.twitter.home_mixer.functional_component.feature_hydrator._ +import com.twitter.home_mixer.functional_component.selector.DebunchCandidates +import com.twitter.home_mixer.functional_component.selector.UpdateConversationModuleId +import com.twitter.home_mixer.functional_component.selector.UpdateHomeClientEventDetails +import com.twitter.home_mixer.functional_component.selector.UpdateNewTweetsPillDecoration +import com.twitter.home_mixer.functional_component.side_effect._ +import com.twitter.home_mixer.model.ClearCacheIncludeInstruction +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.param.HomeGlobalParams.MaxNumberReplaceInstructionsParam +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.product.for_you.param.ForYouParam.ClearCacheOnPtr +import com.twitter.home_mixer.product.for_you.param.ForYouParam.EnableFlipInjectionModuleCandidatePipelineParam +import com.twitter.home_mixer.product.for_you.param.ForYouParam.FlipInlineInjectionModulePosition +import com.twitter.home_mixer.product.for_you.param.ForYouParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.for_you.param.ForYouParam.WhoToFollowPositionParam +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.logpipeline.client.common.EventPublisher +import com.twitter.product_mixer.component_library.feature_hydrator.query.async.AsyncQueryFeatureHydrator +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.FlipPromptCandidatePipelineConfigBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowCandidatePipelineConfig +import com.twitter.product_mixer.component_library.premarshaller.urt.UrtDomainMarshaller +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ClearCacheInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedBottomCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedTopCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceAllEntries +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceEntryInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ShowAlertInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ShowCoverInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.StaticTimelineScribeConfigBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.UrtMetadataBuilder +import com.twitter.product_mixer.component_library.selector.DropMaxCandidates +import com.twitter.product_mixer.component_library.selector.DropMaxModuleItemCandidates +import com.twitter.product_mixer.component_library.selector.DropModuleTooFewModuleItemResults +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.component_library.selector.InsertFixedPositionResults +import com.twitter.product_mixer.component_library.selector.SelectConditionally +import com.twitter.product_mixer.component_library.selector.UpdateSortCandidates +import com.twitter.product_mixer.component_library.selector.UpdateSortModuleItemCandidates +import com.twitter.product_mixer.component_library.selector.ads.AdsInjector +import com.twitter.product_mixer.component_library.selector.ads.InsertAdResults +import com.twitter.product_mixer.core.functional_component.common.SpecificPipeline +import com.twitter.product_mixer.core.functional_component.common.SpecificPipelines +import com.twitter.product_mixer.core.functional_component.configapi.StaticParam +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.functional_component.marshaller.TransportMarshaller +import com.twitter.product_mixer.core.functional_component.marshaller.response.urt.UrtTransportMarshaller +import com.twitter.product_mixer.core.functional_component.premarshaller.DomainMarshaller +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.MixerPipelineIdentifier +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineScribeConfig +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.pipeline.FailOpenPolicy +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.candidate.DependentCandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.mixer.MixerPipelineConfig +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import com.twitter.timelines.render.{thriftscala => urt} +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +@Singleton +class ForYouScoredTweetsMixerPipelineConfig @Inject() ( + forYouScoredTweetsCandidatePipelineConfig: ForYouScoredTweetsCandidatePipelineConfig, + forYouConversationServiceCandidatePipelineConfig: ForYouConversationServiceCandidatePipelineConfig, + forYouAdsCandidatePipelineBuilder: ForYouAdsCandidatePipelineBuilder, + forYouWhoToFollowCandidatePipelineConfigBuilder: ForYouWhoToFollowCandidatePipelineConfigBuilder, + flipPromptCandidatePipelineConfigBuilder: FlipPromptCandidatePipelineConfigBuilder, + editedTweetsCandidatePipelineConfig: EditedTweetsCandidatePipelineConfig, + newTweetsPillCandidatePipelineConfig: NewTweetsPillCandidatePipelineConfig[ForYouQuery], + dismissInfoQueryFeatureHydrator: DismissInfoQueryFeatureHydrator, + gizmoduckUserQueryFeatureHydrator: GizmoduckUserQueryFeatureHydrator, + persistenceStoreQueryFeatureHydrator: PersistenceStoreQueryFeatureHydrator, + requestQueryFeatureHydrator: RequestQueryFeatureHydrator[ForYouQuery], + feedbackHistoryQueryFeatureHydrator: FeedbackHistoryQueryFeatureHydrator, + timelineServiceTweetsQueryFeatureHydrator: TimelineServiceTweetsQueryFeatureHydrator, + adsInjector: AdsInjector, + servedCandidateKeysKafkaSideEffectBuilder: ServedCandidateKeysKafkaSideEffectBuilder, + servedCandidateFeatureKeysKafkaSideEffectBuilder: ServedCandidateFeatureKeysKafkaSideEffectBuilder, + updateTimelinesPersistenceStoreSideEffect: UpdateTimelinesPersistenceStoreSideEffect, + truncateTimelinesPersistenceStoreSideEffect: TruncateTimelinesPersistenceStoreSideEffect, + homeScribeServedEntriesSideEffect: HomeScribeServedEntriesSideEffect, + servedStatsSideEffect: ServedStatsSideEffect, + clientEventsScribeEventPublisher: EventPublisher[ca.LogEvent], + externalStrings: HomeMixerExternalStrings, + @ProductScoped stringCenterProvider: Provider[StringCenter], + urtTransportMarshaller: UrtTransportMarshaller) + extends MixerPipelineConfig[ForYouQuery, Timeline, urt.TimelineResponse] { + + override val identifier: MixerPipelineIdentifier = MixerPipelineIdentifier("ForYouScoredTweets") + + private val MaxConsecutiveOutOfNetworkCandidates = 2 + + private val dependentCandidatesStep = MixerPipelineConfig.dependentCandidatePipelinesStep + + override val fetchQueryFeatures: Seq[QueryFeatureHydrator[ForYouQuery]] = Seq( + requestQueryFeatureHydrator, + persistenceStoreQueryFeatureHydrator, + timelineServiceTweetsQueryFeatureHydrator, + feedbackHistoryQueryFeatureHydrator, + AsyncQueryFeatureHydrator(dependentCandidatesStep, dismissInfoQueryFeatureHydrator), + AsyncQueryFeatureHydrator(dependentCandidatesStep, gizmoduckUserQueryFeatureHydrator), + ) + + private val forYouAdsCandidatePipelineConfig = forYouAdsCandidatePipelineBuilder.build() + + private val forYouWhoToFollowCandidatePipelineConfig = + forYouWhoToFollowCandidatePipelineConfigBuilder.build() + + private val flipPromptCandidatePipelineConfig = + flipPromptCandidatePipelineConfigBuilder.build[ForYouQuery]( + supportedClientParam = Some(EnableFlipInjectionModuleCandidatePipelineParam) + ) + + override val candidatePipelines: Seq[CandidatePipelineConfig[ForYouQuery, _, _, _]] = Seq( + forYouScoredTweetsCandidatePipelineConfig, + forYouAdsCandidatePipelineConfig, + forYouWhoToFollowCandidatePipelineConfig, + flipPromptCandidatePipelineConfig + ) + + override val dependentCandidatePipelines: Seq[ + DependentCandidatePipelineConfig[ForYouQuery, _, _, _] + ] = Seq( + forYouConversationServiceCandidatePipelineConfig, + editedTweetsCandidatePipelineConfig, + newTweetsPillCandidatePipelineConfig + ) + + override val failOpenPolicies: Map[CandidatePipelineIdentifier, FailOpenPolicy] = Map( + forYouScoredTweetsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + forYouAdsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + forYouWhoToFollowCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + flipPromptCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + editedTweetsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + newTweetsPillCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + ) + + override val resultSelectors: Seq[Selector[ForYouQuery]] = Seq( + UpdateSortCandidates( + ordering = CandidatesUtil.reverseChronTweetsOrdering, + candidatePipeline = forYouConversationServiceCandidatePipelineConfig.identifier + ), + UpdateSortCandidates( + ordering = CandidatesUtil.scoreOrdering, + candidatePipeline = forYouScoredTweetsCandidatePipelineConfig.identifier + ), + UpdateSortModuleItemCandidates( + candidatePipeline = forYouScoredTweetsCandidatePipelineConfig.identifier, + ordering = CandidatesUtil.conversationModuleTweetsOrdering + ), + DebunchCandidates( + pipelineScope = SpecificPipeline(forYouScoredTweetsCandidatePipelineConfig.identifier), + mustDebunch = { + case item: ItemCandidateWithDetails => + !item.features.getOrElse(InNetworkFeature, false) + case module: ModuleCandidateWithDetails => + !module.candidates.last.features.getOrElse(InNetworkFeature, false) + }, + maxBunchSize = MaxConsecutiveOutOfNetworkCandidates + ), + UpdateConversationModuleId( + pipelineScope = SpecificPipeline(forYouScoredTweetsCandidatePipelineConfig.identifier) + ), + DropMaxCandidates( + candidatePipeline = forYouConversationServiceCandidatePipelineConfig.identifier, + maxSelectionsParam = ServerMaxResultsParam + ), + DropMaxCandidates( + candidatePipeline = forYouScoredTweetsCandidatePipelineConfig.identifier, + maxSelectionsParam = ServerMaxResultsParam + ), + DropMaxCandidates( + candidatePipeline = editedTweetsCandidatePipelineConfig.identifier, + maxSelectionsParam = MaxNumberReplaceInstructionsParam + ), + DropModuleTooFewModuleItemResults( + candidatePipeline = forYouWhoToFollowCandidatePipelineConfig.identifier, + minModuleItemsParam = StaticParam(WhoToFollowCandidatePipelineConfig.MinCandidatesSize) + ), + DropMaxModuleItemCandidates( + candidatePipeline = forYouWhoToFollowCandidatePipelineConfig.identifier, + maxModuleItemsParam = StaticParam(WhoToFollowCandidatePipelineConfig.MaxCandidatesSize) + ), + // The Conversation Service pipeline will only run if the Scored Tweets pipeline returned nothing + InsertAppendResults(candidatePipeline = + forYouConversationServiceCandidatePipelineConfig.identifier), + InsertAppendResults(candidatePipeline = forYouScoredTweetsCandidatePipelineConfig.identifier), + InsertFixedPositionResults( + candidatePipeline = forYouWhoToFollowCandidatePipelineConfig.identifier, + positionParam = WhoToFollowPositionParam + ), + InsertFixedPositionResults( + candidatePipeline = flipPromptCandidatePipelineConfig.identifier, + positionParam = FlipInlineInjectionModulePosition + ), + InsertAdResults( + surfaceAreaName = AdsInjectionSurfaceAreas.HomeTimeline, + adsInjector = adsInjector.forSurfaceArea(AdsInjectionSurfaceAreas.HomeTimeline), + adsCandidatePipeline = forYouAdsCandidatePipelineConfig.identifier + ), + // This selector must come after the tweets are inserted into the results + UpdateNewTweetsPillDecoration( + pipelineScope = SpecificPipelines( + forYouConversationServiceCandidatePipelineConfig.identifier, + forYouScoredTweetsCandidatePipelineConfig.identifier, + newTweetsPillCandidatePipelineConfig.identifier + ), + stringCenter = stringCenterProvider.get(), + seeNewTweetsString = externalStrings.seeNewTweetsString, + tweetedString = externalStrings.tweetedString + ), + InsertAppendResults(candidatePipeline = editedTweetsCandidatePipelineConfig.identifier), + SelectConditionally( + selector = + InsertAppendResults(candidatePipeline = newTweetsPillCandidatePipelineConfig.identifier), + includeSelector = (_, _, results) => CandidatesUtil.containsType[TweetCandidate](results) + ), + UpdateHomeClientEventDetails( + candidatePipelines = Set( + forYouConversationServiceCandidatePipelineConfig.identifier, + forYouScoredTweetsCandidatePipelineConfig.identifier + ) + ), + ) + + private val servedCandidateKeysKafkaSideEffect = + servedCandidateKeysKafkaSideEffectBuilder.build( + Set(forYouScoredTweetsCandidatePipelineConfig.identifier)) + + private val servedCandidateFeatureKeysKafkaSideEffect = + servedCandidateFeatureKeysKafkaSideEffectBuilder.build( + Set(forYouScoredTweetsCandidatePipelineConfig.identifier)) + + private val homeScribeClientEventSideEffect = HomeScribeClientEventSideEffect( + logPipelinePublisher = clientEventsScribeEventPublisher, + injectedTweetsCandidatePipelineIdentifiers = Seq( + forYouScoredTweetsCandidatePipelineConfig.identifier, + forYouConversationServiceCandidatePipelineConfig.identifier + ), + adsCandidatePipelineIdentifier = forYouAdsCandidatePipelineConfig.identifier, + whoToFollowCandidatePipelineIdentifier = + Some(forYouWhoToFollowCandidatePipelineConfig.identifier), + ) + + override val resultSideEffects: Seq[PipelineResultSideEffect[ForYouQuery, Timeline]] = Seq( + servedCandidateKeysKafkaSideEffect, + servedCandidateFeatureKeysKafkaSideEffect, + updateTimelinesPersistenceStoreSideEffect, + truncateTimelinesPersistenceStoreSideEffect, + homeScribeClientEventSideEffect, + homeScribeServedEntriesSideEffect, + servedStatsSideEffect + ) + + override val domainMarshaller: DomainMarshaller[ForYouQuery, Timeline] = { + val instructionBuilders = Seq( + ClearCacheInstructionBuilder( + ClearCacheIncludeInstruction( + ClearCacheOnPtr.EnableParam, + ClearCacheOnPtr.MinEntriesParam, + ) + ), + ReplaceEntryInstructionBuilder(ReplaceAllEntries), + // excludes alert, cover, and replace candidates + AddEntriesWithReplaceAndShowAlertAndCoverInstructionBuilder(), + ShowAlertInstructionBuilder(), + ShowCoverInstructionBuilder(), + ) + + val idSelector: PartialFunction[UniversalNoun[_], Long] = { + // exclude ads while determining tweet cursor values + case item: TweetItem if item.promotedMetadata.isEmpty => item.id + case module: TimelineModule + if module.items.headOption.exists(_.item.isInstanceOf[TweetItem]) => + module.items.last.item match { case item: TweetItem => item.id } + } + val topCursorBuilder = OrderedTopCursorBuilder(idSelector) + val bottomCursorBuilder = OrderedBottomCursorBuilder(idSelector) + + val metadataBuilder = UrtMetadataBuilder( + title = None, + scribeConfigBuilder = Some( + StaticTimelineScribeConfigBuilder( + TimelineScribeConfig( + page = Some("for_you_scored_tweets"), + section = None, + entityToken = None))) + ) + + UrtDomainMarshaller( + instructionBuilders = instructionBuilders, + metadataBuilder = Some(metadataBuilder), + cursorBuilders = Seq(topCursorBuilder, bottomCursorBuilder) + ) + } + + override val transportMarshaller: TransportMarshaller[Timeline, urt.TimelineResponse] = + urtTransportMarshaller +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsResponseFeatureTransformer.scala new file mode 100644 index 000000000..9d8b43f73 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouScoredTweetsResponseFeatureTransformer.scala @@ -0,0 +1,78 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.timelines.render.{thriftscala => tl} +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.home_mixer.product.for_you.candidate_source.ScoredTweetWithConversationMetadata +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.BasicTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecWithEducationTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecommendationTopicContextFunctionalityType + +object ForYouScoredTweetsResponseFeatureTransformer + extends CandidateFeatureTransformer[ScoredTweetWithConversationMetadata] { + + override val identifier: TransformerIdentifier = + TransformerIdentifier("ForYouScoredTweetsResponse") + + override val features: Set[Feature[_, _]] = Set( + AncestorsFeature, + AuthorIdFeature, + ConversationModuleIdFeature, + ConversationModuleFocalTweetIdFeature, + DirectedAtUserIdFeature, + FavoritedByUserIdsFeature, + FollowedByUserIdsFeature, + InNetworkFeature, + InReplyToTweetIdFeature, + InReplyToUserIdFeature, + IsReadFromCacheFeature, + IsRetweetFeature, + QuotedTweetIdFeature, + QuotedUserIdFeature, + ScoreFeature, + SourceTweetIdFeature, + SourceUserIdFeature, + StreamToKafkaFeature, + SuggestTypeFeature, + TopicContextFunctionalityTypeFeature, + TopicIdSocialContextFeature + ) + + override def transform(input: ScoredTweetWithConversationMetadata): FeatureMap = + FeatureMapBuilder() + .add(AncestorsFeature, input.ancestors.getOrElse(Seq.empty)) + .add(AuthorIdFeature, Some(input.authorId)) + .add(ConversationModuleIdFeature, input.conversationId) + .add(ConversationModuleFocalTweetIdFeature, input.conversationFocalTweetId) + .add(DirectedAtUserIdFeature, input.directedAtUserId) + .add(FavoritedByUserIdsFeature, input.favoritedByUserIds.getOrElse(Seq.empty)) + .add(FollowedByUserIdsFeature, input.followedByUserIds.getOrElse(Seq.empty)) + .add(InNetworkFeature, input.inNetwork.getOrElse(false)) + .add(InReplyToTweetIdFeature, input.inReplyToTweetId) + .add(InReplyToUserIdFeature, input.inReplyToUserId) + .add(IsReadFromCacheFeature, input.isReadFromCache.getOrElse(false)) + .add(IsRetweetFeature, input.sourceTweetId.isDefined) + .add(QuotedTweetIdFeature, input.quotedTweetId) + .add(QuotedUserIdFeature, input.quotedUserId) + .add(ScoreFeature, input.score) + .add(SourceTweetIdFeature, input.sourceTweetId) + .add(SourceUserIdFeature, input.sourceUserId) + .add(StreamToKafkaFeature, input.streamToKafka.getOrElse(false)) + .add(SuggestTypeFeature, input.suggestType) + .add( + TopicContextFunctionalityTypeFeature, + input.topicFunctionalityType.collect { + case tl.TopicContextFunctionalityType.Basic => BasicTopicContextFunctionalityType + case tl.TopicContextFunctionalityType.Recommendation => + RecommendationTopicContextFunctionalityType + case tl.TopicContextFunctionalityType.RecWithEducation => + RecWithEducationTopicContextFunctionalityType + } + ) + .add(TopicIdSocialContextFeature, input.topicId) + .build() +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerCandidatePipelineConfig.scala new file mode 100644 index 000000000..37f93c2a1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerCandidatePipelineConfig.scala @@ -0,0 +1,237 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.home_mixer.functional_component.decorator.HomeFeedbackActionInfoBuilder +import com.twitter.home_mixer.functional_component.decorator.HomeTimelinesScoreInfoBuilder +import com.twitter.home_mixer.functional_component.decorator.HomeTweetSocialContextBuilder +import com.twitter.home_mixer.functional_component.decorator.builder.HomeClientEventInfoBuilder +import com.twitter.home_mixer.functional_component.decorator.builder.HomeConversationModuleMetadataBuilder +import com.twitter.home_mixer.functional_component.feature_hydrator.FocalTweetFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.NamesFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.PerspectiveFilteredSocialContextFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.SGSValidSocialContextFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.SocialGraphServiceFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.TimelineServiceTweetsFeature +import com.twitter.home_mixer.functional_component.feature_hydrator.TweetypieFeatureHydrator +import com.twitter.home_mixer.functional_component.filter.FeedbackFatigueFilter +import com.twitter.home_mixer.functional_component.filter.InvalidConversationModuleFilter +import com.twitter.home_mixer.functional_component.filter.PredicateFeatureFilter +import com.twitter.home_mixer.functional_component.filter.RejectTweetFromViewerFilter +import com.twitter.home_mixer.functional_component.filter.RetweetDeduplicationFilter +import com.twitter.home_mixer.functional_component.filter.SocialContextFilter +import com.twitter.home_mixer.functional_component.scorer.FeedbackFatigueScorer +import com.twitter.home_mixer.functional_component.scorer.OONTweetScalingScorer +import com.twitter.home_mixer.marshaller.timelines.DeviceContextMarshaller +import com.twitter.home_mixer.marshaller.timelines.TimelineServiceCursorMarshaller +import com.twitter.home_mixer.model.HomeFeatures.ConversationModuleFocalTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.IsHydratedFeature +import com.twitter.home_mixer.model.HomeFeatures.IsNsfwFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetDroppedFeature +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.product.for_you.param.ForYouParam.EnableTimelineScorerCandidatePipelineParam +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.candidate_source.timeline_scorer.ScoredTweetCandidateWithFocalTweet +import com.twitter.product_mixer.component_library.candidate_source.timeline_scorer.TimelineScorerCandidateSource +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.UrtMultipleModulesDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.tweet.TweetCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.ManualModuleId +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.StaticModuleDisplayTypeBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.TimelineModuleBuilder +import com.twitter.product_mixer.component_library.filter.FeatureFilter +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.common.alert.Alert +import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.EntryNamespace +import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.VerticalConversation +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.model.candidate.CandidateTweetSourceId +import com.twitter.timelines.service.{thriftscala => tst} +import com.twitter.timelinescorer.{thriftscala => t} +import com.twitter.timelineservice.{thriftscala => tlst} +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config that fetches tweets from the Timeline Scorer Candidate Source + */ +@Singleton +class ForYouTimelineScorerCandidatePipelineConfig @Inject() ( + timelineScorerCandidateSource: TimelineScorerCandidateSource, + deviceContextMarshaller: DeviceContextMarshaller, + tweetypieFeatureHydrator: TweetypieFeatureHydrator, + sgsFeatureHydrator: SocialGraphServiceFeatureHydrator, + sgsValidSocialContextFeatureHydrator: SGSValidSocialContextFeatureHydrator, + perspectiveFilteredSocialContextFeatureHydrator: PerspectiveFilteredSocialContextFeatureHydrator, + namesFeatureHydrator: NamesFeatureHydrator, + focalTweetFeatureHydrator: FocalTweetFeatureHydrator, + homeFeedbackActionInfoBuilder: HomeFeedbackActionInfoBuilder, + homeTweetSocialContextBuilder: HomeTweetSocialContextBuilder) + extends CandidatePipelineConfig[ + ForYouQuery, + t.ScoredTweetsRequest, + ScoredTweetCandidateWithFocalTweet, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ForYouTimelineScorerTweets") + + private val TweetypieHydratedFilterId = "TweetypieHydrated" + private val QuotedTweetDroppedFilterId = "QuotedTweetDropped" + private val OutOfNetworkNSFWFilterId = "OutOfNetworkNSFW" + private val ConversationModuleNamespace = EntryNamespace("home-conversation") + + override val supportedClientParam: Option[FSParam[Boolean]] = + Some(EnableTimelineScorerCandidatePipelineParam) + + override val candidateSource: BaseCandidateSource[ + t.ScoredTweetsRequest, + ScoredTweetCandidateWithFocalTweet + ] = timelineScorerCandidateSource + + override val queryTransformer: CandidatePipelineQueryTransformer[ + ForYouQuery, + t.ScoredTweetsRequest + ] = { query => + val deviceContext = query.deviceContext.getOrElse(DeviceContext.Empty) + + val scoredTweetsRequestContext = t.v1.ScoredTweetsRequestContext( + contextualUserId = query.clientContext.userId, + timelineId = query.clientContext.userId.map(tlst.TimelineId(tlst.TimelineType.Home, _, None)), + deviceContext = Some(deviceContextMarshaller(deviceContext, query.clientContext)), + seenTweetIds = query.seenTweetIds, + contextualUserContext = Some(tst.ContextualUserContext(query.clientContext.userRoles)), + timelineRequestCursor = query.pipelineCursor.flatMap(TimelineServiceCursorMarshaller(_)) + ) + + val candidateTweetSourceIds = Seq( + CandidateTweetSourceId.RecycledTweet, + CandidateTweetSourceId.OrganicTweet, + CandidateTweetSourceId.AncestorsOnlyOrganicTweet, + CandidateTweetSourceId.BackfillOrganicTweet, + CandidateTweetSourceId.CroonTweet, + CandidateTweetSourceId.RecommendedTweet, + CandidateTweetSourceId.FrsTweet, + CandidateTweetSourceId.ListTweet + ) + + val timelineServiceTweets = + query.features.map(_.getOrElse(TimelineServiceTweetsFeature, Seq.empty)).getOrElse(Seq.empty) + + val timelineEntries = timelineServiceTweets.map { id => + tlst.TimelineEntry.Tweet(tlst.Tweet(statusId = id, sortIndex = id)) + } + + t.ScoredTweetsRequest.V1( + t.v1.ScoredTweetsRequest( + scoredTweetsRequestContext = Some(scoredTweetsRequestContext), + candidateTweetSourceIds = + Some(candidateTweetSourceIds.flatMap(CandidateTweetSourceId.toThrift)), + maxResultsCount = query.requestedMaxResults, + organicTimeline = Some( + tlst.Timeline( + timelineId = tlst.TimelineId( + timelineType = tlst.TimelineType.Home, + id = query.getRequiredUserId, + canonicalTimelineId = None), + entries = timelineEntries, + modules = tlst.TimelineModules() + )) + ) + ) + } + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[ScoredTweetCandidateWithFocalTweet] + ] = Seq(ForYouTimelineScorerResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + ScoredTweetCandidateWithFocalTweet, + TweetCandidate + ] = { candidateWithFocalTweetId => + TweetCandidate(id = candidateWithFocalTweetId.candidate.tweetId) + } + + override val preFilterFeatureHydrationPhase1: Seq[ + BaseCandidateFeatureHydrator[ForYouQuery, TweetCandidate, _] + ] = Seq( + tweetypieFeatureHydrator, + sgsFeatureHydrator, + sgsValidSocialContextFeatureHydrator, + perspectiveFilteredSocialContextFeatureHydrator, + namesFeatureHydrator + ) + + override def filters: Seq[Filter[ForYouQuery, TweetCandidate]] = Seq( + RetweetDeduplicationFilter, + FeatureFilter.fromFeature(FilterIdentifier(TweetypieHydratedFilterId), IsHydratedFeature), + PredicateFeatureFilter.fromPredicate( + FilterIdentifier(QuotedTweetDroppedFilterId), + shouldKeepCandidate = { features => !features.getOrElse(QuotedTweetDroppedFeature, false) } + ), + PredicateFeatureFilter.fromPredicate( + FilterIdentifier(OutOfNetworkNSFWFilterId), + shouldKeepCandidate = { features => + features.getOrElse(InNetworkFeature, false) || + !features.getOrElse(IsNsfwFeature, false) + } + ), + FeedbackFatigueFilter, + RejectTweetFromViewerFilter, + SocialContextFilter, + InvalidConversationModuleFilter + ) + + override val postFilterFeatureHydration: Seq[ + BaseCandidateFeatureHydrator[ForYouQuery, TweetCandidate, _] + ] = Seq(focalTweetFeatureHydrator) + + override val scorers: Seq[Scorer[ForYouQuery, TweetCandidate]] = + Seq(OONTweetScalingScorer, FeedbackFatigueScorer) + + override val decorator: Option[CandidateDecorator[ForYouQuery, TweetCandidate]] = { + val clientEventInfoBuilder = HomeClientEventInfoBuilder() + + val tweetItemBuilder = TweetCandidateUrtItemBuilder( + clientEventInfoBuilder = clientEventInfoBuilder, + socialContextBuilder = Some(homeTweetSocialContextBuilder), + timelinesScoreInfoBuilder = Some(HomeTimelinesScoreInfoBuilder), + feedbackActionInfoBuilder = Some(homeFeedbackActionInfoBuilder) + ) + + val tweetDecorator = UrtItemCandidateDecorator(tweetItemBuilder) + + val moduleBuilder = TimelineModuleBuilder( + entryNamespace = ConversationModuleNamespace, + clientEventInfoBuilder = clientEventInfoBuilder, + moduleIdGeneration = ManualModuleId(0L), + displayTypeBuilder = StaticModuleDisplayTypeBuilder(VerticalConversation), + metadataBuilder = Some(HomeConversationModuleMetadataBuilder()) + ) + + Some( + UrtMultipleModulesDecorator( + urtItemCandidateDecorator = tweetDecorator, + moduleBuilder = moduleBuilder, + groupByKey = (_, _, candidateFeatures) => + candidateFeatures.getOrElse(ConversationModuleFocalTweetIdFeature, None) + )) + } + + override val alerts: Seq[Alert] = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert(10, 20) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerMixerPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerMixerPipelineConfig.scala new file mode 100644 index 000000000..b43c6ed67 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerMixerPipelineConfig.scala @@ -0,0 +1,336 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.clientapp.{thriftscala => ca} +import com.twitter.goldfinch.api.AdsInjectionSurfaceAreas +import com.twitter.home_mixer.candidate_pipeline.EditedTweetsCandidatePipelineConfig +import com.twitter.home_mixer.candidate_pipeline.NewTweetsPillCandidatePipelineConfig +import com.twitter.home_mixer.functional_component.decorator.urt.builder.AddEntriesWithReplaceAndShowAlertAndCoverInstructionBuilder +import com.twitter.home_mixer.functional_component.feature_hydrator._ +import com.twitter.home_mixer.functional_component.selector.DebunchCandidates +import com.twitter.home_mixer.functional_component.selector.UpdateConversationModuleId +import com.twitter.home_mixer.functional_component.selector.UpdateHomeClientEventDetails +import com.twitter.home_mixer.functional_component.selector.UpdateNewTweetsPillDecoration +import com.twitter.home_mixer.functional_component.side_effect._ +import com.twitter.home_mixer.model.ClearCacheIncludeInstruction +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.param.HomeGlobalParams.MaxNumberReplaceInstructionsParam +import com.twitter.home_mixer.product.following.model.HomeMixerExternalStrings +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.product.for_you.param.ForYouParam.ClearCacheOnPtr +import com.twitter.home_mixer.product.for_you.param.ForYouParam.EnableFlipInjectionModuleCandidatePipelineParam +import com.twitter.home_mixer.product.for_you.param.ForYouParam.FlipInlineInjectionModulePosition +import com.twitter.home_mixer.product.for_you.param.ForYouParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.for_you.param.ForYouParam.WhoToFollowPositionParam +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.logpipeline.client.common.EventPublisher +import com.twitter.product_mixer.component_library.feature_hydrator.query.async.AsyncQueryFeatureHydrator +import com.twitter.product_mixer.component_library.feature_hydrator.query.impressed_tweets.ImpressedTweetsQueryFeatureHydrator +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.FlipPromptCandidatePipelineConfigBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowCandidatePipelineConfig +import com.twitter.product_mixer.component_library.premarshaller.urt.UrtDomainMarshaller +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ClearCacheInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedBottomCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedTopCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceAllEntries +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceEntryInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ShowAlertInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ShowCoverInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.StaticTimelineScribeConfigBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.UrtMetadataBuilder +import com.twitter.product_mixer.component_library.selector.DropMaxCandidates +import com.twitter.product_mixer.component_library.selector.DropMaxModuleItemCandidates +import com.twitter.product_mixer.component_library.selector.DropModuleTooFewModuleItemResults +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.component_library.selector.InsertFixedPositionResults +import com.twitter.product_mixer.component_library.selector.SelectConditionally +import com.twitter.product_mixer.component_library.selector.UpdateSortCandidates +import com.twitter.product_mixer.component_library.selector.UpdateSortModuleItemCandidates +import com.twitter.product_mixer.component_library.selector.ads.AdsInjector +import com.twitter.product_mixer.component_library.selector.ads.InsertAdResults +import com.twitter.product_mixer.core.functional_component.common.SpecificPipeline +import com.twitter.product_mixer.core.functional_component.common.SpecificPipelines +import com.twitter.product_mixer.core.functional_component.configapi.StaticParam +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.functional_component.marshaller.TransportMarshaller +import com.twitter.product_mixer.core.functional_component.marshaller.response.urt.UrtTransportMarshaller +import com.twitter.product_mixer.core.functional_component.premarshaller.DomainMarshaller +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.MixerPipelineIdentifier +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineScribeConfig +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.pipeline.FailOpenPolicy +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.candidate.DependentCandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.mixer.MixerPipelineConfig +import com.twitter.product_mixer.core.product.guice.scope.ProductScoped +import com.twitter.stringcenter.client.StringCenter +import com.twitter.timelines.render.{thriftscala => urt} +import javax.inject.Inject +import javax.inject.Provider +import javax.inject.Singleton + +@Singleton +class ForYouTimelineScorerMixerPipelineConfig @Inject() ( + forYouTimelineScorerCandidatePipelineConfig: ForYouTimelineScorerCandidatePipelineConfig, + forYouConversationServiceCandidatePipelineConfig: ForYouConversationServiceCandidatePipelineConfig, + forYouAdsCandidatePipelineBuilder: ForYouAdsCandidatePipelineBuilder, + forYouWhoToFollowCandidatePipelineConfigBuilder: ForYouWhoToFollowCandidatePipelineConfigBuilder, + flipPromptCandidatePipelineConfigBuilder: FlipPromptCandidatePipelineConfigBuilder, + editedTweetsCandidatePipelineConfig: EditedTweetsCandidatePipelineConfig, + newTweetsPillCandidatePipelineConfig: NewTweetsPillCandidatePipelineConfig[ForYouQuery], + dismissInfoQueryFeatureHydrator: DismissInfoQueryFeatureHydrator, + gizmoduckUserQueryFeatureHydrator: GizmoduckUserQueryFeatureHydrator, + manhattanTweetImpressionsQueryFeatureHydrator: TweetImpressionsQueryFeatureHydrator[ForYouQuery], + memcacheTweetImpressionsQueryFeatureHydrator: ImpressedTweetsQueryFeatureHydrator, + persistenceStoreQueryFeatureHydrator: PersistenceStoreQueryFeatureHydrator, + requestQueryFeatureHydrator: RequestQueryFeatureHydrator[ForYouQuery], + timelineServiceTweetsQueryFeatureHydrator: TimelineServiceTweetsQueryFeatureHydrator, + lastNonPollingTimeQueryFeatureHydrator: LastNonPollingTimeQueryFeatureHydrator, + feedbackHistoryQueryFeatureHydrator: FeedbackHistoryQueryFeatureHydrator, + adsInjector: AdsInjector, + servedCandidateKeysKafkaSideEffectBuilder: ServedCandidateKeysKafkaSideEffectBuilder, + servedCandidateFeatureKeysKafkaSideEffectBuilder: ServedCandidateFeatureKeysKafkaSideEffectBuilder, + updateLastNonPollingTimeSideEffect: UpdateLastNonPollingTimeSideEffect[ForYouQuery, Timeline], + publishClientSentImpressionsEventBusSideEffect: PublishClientSentImpressionsEventBusSideEffect, + publishClientSentImpressionsManhattanSideEffect: PublishClientSentImpressionsManhattanSideEffect, + updateTimelinesPersistenceStoreSideEffect: UpdateTimelinesPersistenceStoreSideEffect, + truncateTimelinesPersistenceStoreSideEffect: TruncateTimelinesPersistenceStoreSideEffect, + homeScribeServedEntriesSideEffect: HomeScribeServedEntriesSideEffect, + servedStatsSideEffect: ServedStatsSideEffect, + clientEventsScribeEventPublisher: EventPublisher[ca.LogEvent], + externalStrings: HomeMixerExternalStrings, + @ProductScoped stringCenterProvider: Provider[StringCenter], + urtTransportMarshaller: UrtTransportMarshaller) + extends MixerPipelineConfig[ForYouQuery, Timeline, urt.TimelineResponse] { + + override val identifier: MixerPipelineIdentifier = MixerPipelineIdentifier("ForYouTimelineScorer") + + private val MaxConsecutiveOutOfNetworkCandidates = 2 + + private val dependentCandidatesStep = MixerPipelineConfig.dependentCandidatePipelinesStep + private val resultSelectorsStep = MixerPipelineConfig.resultSelectorsStep + + override def fetchQueryFeatures: Seq[QueryFeatureHydrator[ForYouQuery]] = Seq( + requestQueryFeatureHydrator, + persistenceStoreQueryFeatureHydrator, + timelineServiceTweetsQueryFeatureHydrator, + feedbackHistoryQueryFeatureHydrator, + AsyncQueryFeatureHydrator(dependentCandidatesStep, dismissInfoQueryFeatureHydrator), + AsyncQueryFeatureHydrator(dependentCandidatesStep, gizmoduckUserQueryFeatureHydrator), + AsyncQueryFeatureHydrator(dependentCandidatesStep, lastNonPollingTimeQueryFeatureHydrator), + AsyncQueryFeatureHydrator(resultSelectorsStep, manhattanTweetImpressionsQueryFeatureHydrator), + AsyncQueryFeatureHydrator(resultSelectorsStep, memcacheTweetImpressionsQueryFeatureHydrator) + ) + + private val forYouAdsCandidatePipelineConfig = forYouAdsCandidatePipelineBuilder.build() + + private val forYouWhoToFollowCandidatePipelineConfig = + forYouWhoToFollowCandidatePipelineConfigBuilder.build() + + private val flipPromptCandidatePipelineConfig = + flipPromptCandidatePipelineConfigBuilder.build[ForYouQuery]( + supportedClientParam = Some(EnableFlipInjectionModuleCandidatePipelineParam) + ) + + override val candidatePipelines: Seq[CandidatePipelineConfig[ForYouQuery, _, _, _]] = Seq( + forYouTimelineScorerCandidatePipelineConfig, + forYouAdsCandidatePipelineConfig, + forYouWhoToFollowCandidatePipelineConfig, + flipPromptCandidatePipelineConfig + ) + + override val dependentCandidatePipelines: Seq[ + DependentCandidatePipelineConfig[ForYouQuery, _, _, _] + ] = Seq( + forYouConversationServiceCandidatePipelineConfig, + editedTweetsCandidatePipelineConfig, + newTweetsPillCandidatePipelineConfig + ) + + override val failOpenPolicies: Map[CandidatePipelineIdentifier, FailOpenPolicy] = Map( + forYouTimelineScorerCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + forYouAdsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + forYouWhoToFollowCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + flipPromptCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + editedTweetsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + newTweetsPillCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + ) + + override val resultSelectors: Seq[Selector[ForYouQuery]] = Seq( + UpdateSortCandidates( + ordering = CandidatesUtil.reverseChronTweetsOrdering, + candidatePipeline = forYouConversationServiceCandidatePipelineConfig.identifier + ), + UpdateSortCandidates( + ordering = CandidatesUtil.scoreOrdering, + candidatePipeline = forYouTimelineScorerCandidatePipelineConfig.identifier + ), + UpdateSortModuleItemCandidates( + candidatePipeline = forYouTimelineScorerCandidatePipelineConfig.identifier, + ordering = CandidatesUtil.conversationModuleTweetsOrdering + ), + DebunchCandidates( + pipelineScope = SpecificPipeline(forYouTimelineScorerCandidatePipelineConfig.identifier), + mustDebunch = { + case item: ItemCandidateWithDetails => + !item.features.getOrElse(InNetworkFeature, false) + case module: ModuleCandidateWithDetails => + !module.candidates.last.features.getOrElse(InNetworkFeature, false) + }, + maxBunchSize = MaxConsecutiveOutOfNetworkCandidates + ), + UpdateConversationModuleId( + pipelineScope = SpecificPipeline(forYouTimelineScorerCandidatePipelineConfig.identifier) + ), + DropMaxCandidates( + candidatePipeline = forYouConversationServiceCandidatePipelineConfig.identifier, + maxSelectionsParam = ServerMaxResultsParam + ), + DropMaxCandidates( + candidatePipeline = forYouTimelineScorerCandidatePipelineConfig.identifier, + maxSelectionsParam = ServerMaxResultsParam + ), + DropMaxCandidates( + candidatePipeline = editedTweetsCandidatePipelineConfig.identifier, + maxSelectionsParam = MaxNumberReplaceInstructionsParam + ), + DropModuleTooFewModuleItemResults( + candidatePipeline = forYouWhoToFollowCandidatePipelineConfig.identifier, + minModuleItemsParam = StaticParam(WhoToFollowCandidatePipelineConfig.MinCandidatesSize) + ), + DropMaxModuleItemCandidates( + candidatePipeline = forYouWhoToFollowCandidatePipelineConfig.identifier, + maxModuleItemsParam = StaticParam(WhoToFollowCandidatePipelineConfig.MaxCandidatesSize) + ), + // Add Conversation Service tweets to results only if the scored pipeline doesn't return any + SelectConditionally( + selector = InsertAppendResults( + candidatePipeline = forYouConversationServiceCandidatePipelineConfig.identifier), + includeSelector = (_, candidates, _) => + !candidates.exists(candidate => + forYouTimelineScorerCandidatePipelineConfig.identifier == candidate.source) + ), + InsertAppendResults(candidatePipeline = forYouTimelineScorerCandidatePipelineConfig.identifier), + InsertFixedPositionResults( + candidatePipeline = forYouWhoToFollowCandidatePipelineConfig.identifier, + positionParam = WhoToFollowPositionParam + ), + InsertFixedPositionResults( + candidatePipeline = flipPromptCandidatePipelineConfig.identifier, + positionParam = FlipInlineInjectionModulePosition + ), + InsertAdResults( + surfaceAreaName = AdsInjectionSurfaceAreas.HomeTimeline, + adsInjector = adsInjector.forSurfaceArea(AdsInjectionSurfaceAreas.HomeTimeline), + adsCandidatePipeline = forYouAdsCandidatePipelineConfig.identifier + ), + // This selector must come after the tweets are inserted into the results + UpdateNewTweetsPillDecoration( + pipelineScope = SpecificPipelines( + forYouConversationServiceCandidatePipelineConfig.identifier, + forYouTimelineScorerCandidatePipelineConfig.identifier, + newTweetsPillCandidatePipelineConfig.identifier + ), + stringCenter = stringCenterProvider.get(), + seeNewTweetsString = externalStrings.seeNewTweetsString, + tweetedString = externalStrings.tweetedString + ), + InsertAppendResults(candidatePipeline = editedTweetsCandidatePipelineConfig.identifier), + SelectConditionally( + selector = + InsertAppendResults(candidatePipeline = newTweetsPillCandidatePipelineConfig.identifier), + includeSelector = (_, _, results) => CandidatesUtil.containsType[TweetCandidate](results) + ), + UpdateHomeClientEventDetails( + candidatePipelines = Set( + forYouConversationServiceCandidatePipelineConfig.identifier, + forYouTimelineScorerCandidatePipelineConfig.identifier + ) + ), + ) + + private val servedCandidateKeysKafkaSideEffect = + servedCandidateKeysKafkaSideEffectBuilder.build( + Set(forYouTimelineScorerCandidatePipelineConfig.identifier)) + + private val servedCandidateFeatureKeysKafkaSideEffect = + servedCandidateFeatureKeysKafkaSideEffectBuilder.build( + Set(forYouTimelineScorerCandidatePipelineConfig.identifier)) + + private val homeScribeClientEventSideEffect = HomeScribeClientEventSideEffect( + logPipelinePublisher = clientEventsScribeEventPublisher, + injectedTweetsCandidatePipelineIdentifiers = Seq( + forYouTimelineScorerCandidatePipelineConfig.identifier, + forYouConversationServiceCandidatePipelineConfig.identifier + ), + adsCandidatePipelineIdentifier = forYouAdsCandidatePipelineConfig.identifier, + whoToFollowCandidatePipelineIdentifier = + Some(forYouWhoToFollowCandidatePipelineConfig.identifier), + ) + + override val resultSideEffects: Seq[PipelineResultSideEffect[ForYouQuery, Timeline]] = Seq( + servedCandidateKeysKafkaSideEffect, + servedCandidateFeatureKeysKafkaSideEffect, + updateLastNonPollingTimeSideEffect, + publishClientSentImpressionsEventBusSideEffect, + publishClientSentImpressionsManhattanSideEffect, + updateTimelinesPersistenceStoreSideEffect, + truncateTimelinesPersistenceStoreSideEffect, + homeScribeClientEventSideEffect, + homeScribeServedEntriesSideEffect, + servedStatsSideEffect + ) + + override val domainMarshaller: DomainMarshaller[ForYouQuery, Timeline] = { + val instructionBuilders = Seq( + ClearCacheInstructionBuilder( + ClearCacheIncludeInstruction( + ClearCacheOnPtr.EnableParam, + ClearCacheOnPtr.MinEntriesParam + ) + ), + ReplaceEntryInstructionBuilder(ReplaceAllEntries), + // excludes alert, cover, and replace candidates + AddEntriesWithReplaceAndShowAlertAndCoverInstructionBuilder(), + ShowAlertInstructionBuilder(), + ShowCoverInstructionBuilder(), + ) + + val idSelector: PartialFunction[UniversalNoun[_], Long] = { + // exclude ads while determining tweet cursor values + case item: TweetItem if item.promotedMetadata.isEmpty => item.id + case module: TimelineModule + if module.items.headOption.exists(_.item.isInstanceOf[TweetItem]) => + module.items.last.item match { case item: TweetItem => item.id } + } + val topCursorBuilder = OrderedTopCursorBuilder(idSelector) + val bottomCursorBuilder = OrderedBottomCursorBuilder(idSelector) + + val metadataBuilder = UrtMetadataBuilder( + title = None, + scribeConfigBuilder = Some( + StaticTimelineScribeConfigBuilder( + TimelineScribeConfig( + page = Some("for_you_timeline_scorer"), + section = None, + entityToken = None))) + ) + + UrtDomainMarshaller( + instructionBuilders = instructionBuilders, + metadataBuilder = Some(metadataBuilder), + cursorBuilders = Seq(topCursorBuilder, bottomCursorBuilder) + ) + } + + override val transportMarshaller: TransportMarshaller[Timeline, urt.TimelineResponse] = + urtTransportMarshaller +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerResponseFeatureTransformer.scala new file mode 100644 index 000000000..dfae6a10f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouTimelineScorerResponseFeatureTransformer.scala @@ -0,0 +1,189 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.tweetconvosvc.tweet_ancestor.{thriftscala => ta} +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.mediaservices.commons.tweetmedia.{thriftscala => mt} +import com.twitter.product_mixer.component_library.candidate_source.timeline_scorer.ScoredTweetCandidateWithFocalTweet +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.BasicTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecWithEducationTopicContextFunctionalityType +import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.RecommendationTopicContextFunctionalityType +import com.twitter.search.common.constants.thriftjava.ThriftLanguage +import com.twitter.search.common.util.lang.ThriftLanguageUtil +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.timelinemixer.injection.model.candidate.AudioSpaceMetaData +import com.twitter.timelines.conversation_features.{thriftscala => cvt} +import com.twitter.timelinescorer.common.scoredtweetcandidate.{thriftscala => stc} +import com.twitter.timelineservice.suggests.{thriftscala => tls} + +object ForYouTimelineScorerResponseFeatureTransformer + extends CandidateFeatureTransformer[ScoredTweetCandidateWithFocalTweet] { + + override val identifier: TransformerIdentifier = + TransformerIdentifier("ForYouTimelineScorerResponse") + + override val features: Set[Feature[_, _]] = Set( + AncestorsFeature, + AudioSpaceMetaDataFeature, + AuthorIdFeature, + AuthorIsEligibleForConnectBoostFeature, + AuthoredByContextualUserFeature, + CandidateSourceIdFeature, + ConversationFeature, + ConversationModuleFocalTweetIdFeature, + ConversationModuleIdFeature, + DirectedAtUserIdFeature, + EarlybirdFeature, + EntityTokenFeature, + ExclusiveConversationAuthorIdFeature, + FavoritedByUserIdsFeature, + FollowedByUserIdsFeature, + TopicIdSocialContextFeature, + TopicContextFunctionalityTypeFeature, + FromInNetworkSourceFeature, + FullScoringSucceededFeature, + HasDisplayedTextFeature, + InReplyToTweetIdFeature, + IsAncestorCandidateFeature, + IsExtendedReplyFeature, + IsRandomTweetFeature, + IsReadFromCacheFeature, + IsRetweetFeature, + IsRetweetedReplyFeature, + NonSelfFavoritedByUserIdsFeature, + NumImagesFeature, + OriginalTweetCreationTimeFromSnowflakeFeature, + PredictionRequestIdFeature, + QuotedTweetIdFeature, + ScoreFeature, + SimclustersTweetTopKClustersWithScoresFeature, + SourceTweetIdFeature, + SourceUserIdFeature, + StreamToKafkaFeature, + SuggestTypeFeature, + TweetLanguageFeature, + VideoDurationMsFeature, + ) + + // Convert language code to ISO 639-3 format + private def getLanguageISOFormatByValue(languageCodeValue: Int): String = + ThriftLanguageUtil.getLanguageCodeOf(ThriftLanguage.findByValue(languageCodeValue)) + + override def transform( + candidateWithFocalTweet: ScoredTweetCandidateWithFocalTweet + ): FeatureMap = { + val candidate: stc.v1.ScoredTweetCandidate = candidateWithFocalTweet.candidate + val focalTweetId = candidateWithFocalTweet.focalTweetIdOpt + + val originalTweetId = candidate.sourceTweetId.getOrElse(candidate.tweetId) + val tweetFeatures = candidate.tweetFeaturesMap.flatMap(_.get(originalTweetId)) + val earlybirdFeatures = tweetFeatures.flatMap(_.recapFeatures.flatMap(_.tweetFeatures)) + val directedAtUserIsInFirstDegree = + earlybirdFeatures.flatMap(_.directedAtUserIdIsInFirstDegree) + val isReply = candidate.inReplyToTweetId.nonEmpty + val isRetweet = candidate.isRetweet.getOrElse(false) + val isInNetwork = candidate.isInNetwork.getOrElse(true) + val conversationFeatures = candidate.conversationFeatures.flatMap { + case cvt.ConversationFeatures.V1(candidate) => Some(candidate) + case _ => None + } + val numImages = candidate.mediaMetaData + .map( + _.count(mediaEntity => + mediaEntity.mediaInfo.exists(_.isInstanceOf[mt.MediaInfo.ImageInfo]) || + mediaEntity.mediaInfo.isEmpty)) + val hasImage = earlybirdFeatures.exists(_.hasImage) + val hasVideo = earlybirdFeatures.exists(_.hasVideo) + val hasCard = earlybirdFeatures.exists(_.hasCard) + val hasQuote = earlybirdFeatures.exists(_.hasQuote.contains(true)) + val hasDisplayedText = earlybirdFeatures.exists(_.tweetLength.exists(length => { + val numMedia = Seq(hasVideo, (hasImage || hasCard), hasQuote).count(b => b) + val tcoLengthsPlusSpaces = 23 * numMedia + (if (numMedia > 0) numMedia - 1 else 0) + length > tcoLengthsPlusSpaces + })) + val suggestType = Some( + candidate.overrideSuggestType.getOrElse(tls.SuggestType.RankedTimelineTweet)) + + val topicSocialProofMetadataOpt = candidate.entityData.flatMap(_.topicSocialProofMetadata) + val topicIdSocialContextOpt = topicSocialProofMetadataOpt.map(_.topicId) + val topicContextFunctionalityTypeOpt = + topicSocialProofMetadataOpt.map(_.topicContextFunctionalityType).collect { + case stc.v1.TopicContextFunctionalityType.Basic => BasicTopicContextFunctionalityType + case stc.v1.TopicContextFunctionalityType.Recommendation => + RecommendationTopicContextFunctionalityType + case stc.v1.TopicContextFunctionalityType.RecWithEducation => + RecWithEducationTopicContextFunctionalityType + } + + FeatureMapBuilder() + .add( + AncestorsFeature, + candidate.ancestors + .getOrElse(Seq.empty) + .map(ancestor => ta.TweetAncestor(ancestor.tweetId, ancestor.userId.getOrElse(0L)))) + .add( + AudioSpaceMetaDataFeature, + candidate.audioSpaceMetaDatalist.map(_.head).map(AudioSpaceMetaData.fromThrift)) + .add(AuthorIdFeature, Some(candidate.authorId)) + .add( + AuthorIsEligibleForConnectBoostFeature, + candidate.authorIsEligibleForConnectBoost.getOrElse(false)) + .add( + AuthoredByContextualUserFeature, + candidate.viewerId.contains(candidate.authorId) || + candidate.viewerId.exists(candidate.sourceUserId.contains)) + .add(CandidateSourceIdFeature, candidate.candidateTweetSourceId) + .add(ConversationFeature, conversationFeatures) + .add(ConversationModuleIdFeature, candidate.conversationId) + .add(ConversationModuleFocalTweetIdFeature, focalTweetId) + .add(DirectedAtUserIdFeature, candidate.directedAtUserId) + .add(EarlybirdFeature, earlybirdFeatures) + // This is temporary, will need to be updated with the encoded string. + .add(EntityTokenFeature, Some("test_EntityTokenForYou")) + .add(ExclusiveConversationAuthorIdFeature, candidate.exclusiveConversationAuthorId) + .add(FavoritedByUserIdsFeature, candidate.favoritedByUserIds.getOrElse(Seq.empty)) + .add(FollowedByUserIdsFeature, candidate.followedByUserIds.getOrElse(Seq.empty)) + .add(TopicIdSocialContextFeature, topicIdSocialContextOpt) + .add(TopicContextFunctionalityTypeFeature, topicContextFunctionalityTypeOpt) + .add(FullScoringSucceededFeature, candidate.fullScoringSucceeded.getOrElse(false)) + .add(HasDisplayedTextFeature, hasDisplayedText) + .add(InReplyToTweetIdFeature, candidate.inReplyToTweetId) + .add(IsAncestorCandidateFeature, candidate.isAncestorCandidate.getOrElse(false)) + .add( + IsExtendedReplyFeature, + isInNetwork && isReply && !isRetweet && directedAtUserIsInFirstDegree.contains(false)) + .add(FromInNetworkSourceFeature, candidate.isInNetwork.getOrElse(true)) + .add(IsRandomTweetFeature, candidate.isRandomTweet.getOrElse(false)) + .add(IsReadFromCacheFeature, candidate.isReadFromCache.getOrElse(false)) + .add(IsRetweetFeature, candidate.isRetweet.getOrElse(false)) + .add(IsRetweetedReplyFeature, isReply && isRetweet) + .add( + NonSelfFavoritedByUserIdsFeature, + candidate.favoritedByUserIds.getOrElse(Seq.empty).filterNot(_ == candidate.authorId)) + .add(NumImagesFeature, numImages) + .add( + OriginalTweetCreationTimeFromSnowflakeFeature, + SnowflakeId.timeFromIdOpt(originalTweetId)) + .add(PredictionRequestIdFeature, candidate.predictionRequestId) + .add(ScoreFeature, Some(candidate.score)) + .add( + SimclustersTweetTopKClustersWithScoresFeature, + candidate.simclustersTweetTopKClustersWithScores.map(_.toMap).getOrElse(Map.empty)) + .add( + StreamToKafkaFeature, + candidate.predictionRequestId.nonEmpty && candidate.fullScoringSucceeded.getOrElse(false)) + .add(SourceTweetIdFeature, candidate.sourceTweetId) + .add(SourceUserIdFeature, candidate.sourceUserId) + .add(SuggestTypeFeature, suggestType) + .add(QuotedTweetIdFeature, candidate.quotedTweetId) + .add( + TweetLanguageFeature, + earlybirdFeatures.flatMap(_.language.map(_.value)).map(getLanguageISOFormatByValue)) + .add(VideoDurationMsFeature, earlybirdFeatures.flatMap(_.videoDurationMs)) + .build() + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouWhoToFollowCandidatePipelineConfigBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouWhoToFollowCandidatePipelineConfigBuilder.scala new file mode 100644 index 000000000..0f01c9e14 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/ForYouWhoToFollowCandidatePipelineConfigBuilder.scala @@ -0,0 +1,59 @@ +package com.twitter.home_mixer.product.for_you + +import com.twitter.home_mixer.functional_component.decorator.urt.builder.HomeWhoToFollowFeedbackActionInfoBuilder +import com.twitter.home_mixer.functional_component.gate.DismissFatigueGate +import com.twitter.home_mixer.functional_component.gate.TimelinesPersistenceStoreLastInjectionGate +import com.twitter.home_mixer.model.HomeFeatures.DismissInfoFeature +import com.twitter.home_mixer.model.HomeFeatures.PersistenceEntriesFeature +import com.twitter.home_mixer.model.HomeFeatures.WhoToFollowExcludedUserIdsFeature +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.product.for_you.param.ForYouParam.EnableWhoToFollowCandidatePipelineParam +import com.twitter.home_mixer.product.for_you.param.ForYouParam.WhoToFollowDisplayTypeIdParam +import com.twitter.home_mixer.product.for_you.param.ForYouParam.WhoToFollowMinInjectionIntervalParam +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.ParamWhoToFollowModuleDisplayTypeBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowCandidatePipelineConfig +import com.twitter.product_mixer.component_library.pipeline.candidate.who_to_follow_module.WhoToFollowCandidatePipelineConfigBuilder +import com.twitter.product_mixer.core.functional_component.configapi.StaticParam +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.timelineservice.model.rich.EntityIdType +import com.twitter.timelineservice.suggests.thriftscala.SuggestType +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ForYouWhoToFollowCandidatePipelineConfigBuilder @Inject() ( + whoToFollowCandidatePipelineConfigBuilder: WhoToFollowCandidatePipelineConfigBuilder, + homeWhoToFollowFeedbackActionInfoBuilder: HomeWhoToFollowFeedbackActionInfoBuilder) { + + // People Discovery module timeout is set to 350ms currently so use faster display location here + private val DisplayLocation = "timeline_reverse_chron" + + def build(): WhoToFollowCandidatePipelineConfig[ForYouQuery] = { + val gates: Seq[Gate[ForYouQuery]] = Seq( + TimelinesPersistenceStoreLastInjectionGate( + WhoToFollowMinInjectionIntervalParam, + PersistenceEntriesFeature, + EntityIdType.WhoToFollow + ), + DismissFatigueGate(SuggestType.WhoToFollow, DismissInfoFeature) + ) + + whoToFollowCandidatePipelineConfigBuilder.build[ForYouQuery]( + identifier = WhoToFollowCandidatePipelineConfig.identifier, + supportedClientParam = Some(EnableWhoToFollowCandidatePipelineParam), + alerts = alerts, + gates = gates, + moduleDisplayTypeBuilder = + ParamWhoToFollowModuleDisplayTypeBuilder(WhoToFollowDisplayTypeIdParam), + feedbackActionInfoBuilder = Some(homeWhoToFollowFeedbackActionInfoBuilder), + excludedUserIdsFeature = Some(WhoToFollowExcludedUserIdsFeature), + displayLocationParam = StaticParam(DisplayLocation) + ) + } + + private val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(70), + HomeMixerAlertConfig.BusinessHours.defaultEmptyResponseRateAlert() + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/candidate_source/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/candidate_source/BUILD.bazel new file mode 100644 index 000000000..ed317eb09 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/candidate_source/BUILD.bazel @@ -0,0 +1,25 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "finatra/inject/inject-core/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/product_pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/timelinemixer:thrift-scala", + "stitch/stitch-timelineservice/src/main/scala", + ], + exports = [ + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/candidate_source/ScoredTweetsProductCandidateSource.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/candidate_source/ScoredTweetsProductCandidateSource.scala new file mode 100644 index 000000000..db15a2cac --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/candidate_source/ScoredTweetsProductCandidateSource.scala @@ -0,0 +1,154 @@ +package com.twitter.home_mixer.product.for_you.candidate_source + +import com.google.inject.Provider +import com.twitter.home_mixer.model.HomeFeatures.ServedTweetIdsFeature +import com.twitter.home_mixer.model.request.HomeMixerRequest +import com.twitter.home_mixer.model.request.ScoredTweetsProduct +import com.twitter.home_mixer.model.request.ScoredTweetsProductContext +import com.twitter.home_mixer.product.for_you.model.ForYouQuery +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.functional_component.candidate_source.product_pipeline.ProductPipelineCandidateSource +import com.twitter.product_mixer.core.functional_component.configapi.ParamsBuilder +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.product.registry.ProductPipelineRegistry +import com.twitter.timelines.render.{thriftscala => tl} +import com.twitter.timelineservice.suggests.{thriftscala => st} +import com.twitter.tweetconvosvc.tweet_ancestor.{thriftscala => ta} +import javax.inject.Inject +import javax.inject.Singleton + +/** + * [[ScoredTweetWithConversationMetadata]] + **/ +case class ScoredTweetWithConversationMetadata( + tweetId: Long, + authorId: Long, + score: Option[Double] = None, + suggestType: Option[st.SuggestType] = None, + sourceTweetId: Option[Long] = None, + sourceUserId: Option[Long] = None, + quotedTweetId: Option[Long] = None, + quotedUserId: Option[Long] = None, + inReplyToTweetId: Option[Long] = None, + inReplyToUserId: Option[Long] = None, + directedAtUserId: Option[Long] = None, + inNetwork: Option[Boolean] = None, + favoritedByUserIds: Option[Seq[Long]] = None, + followedByUserIds: Option[Seq[Long]] = None, + ancestors: Option[Seq[ta.TweetAncestor]] = None, + topicId: Option[Long] = None, + topicFunctionalityType: Option[tl.TopicContextFunctionalityType] = None, + conversationId: Option[Long] = None, + conversationFocalTweetId: Option[Long] = None, + isReadFromCache: Option[Boolean] = None, + streamToKafka: Option[Boolean] = None) + +@Singleton +class ScoredTweetsProductCandidateSource @Inject() ( + override val productPipelineRegistry: Provider[ProductPipelineRegistry], + override val paramsBuilder: Provider[ParamsBuilder]) + extends ProductPipelineCandidateSource[ + ForYouQuery, + HomeMixerRequest, + t.ScoredTweetsResponse, + ScoredTweetWithConversationMetadata + ] { + + override val identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier("ScoredTweetsProduct") + + private val MaxModuleSize = 3 + private val MaxAncestorsInConversation = 2 + + override def pipelineRequestTransformer(productPipelineQuery: ForYouQuery): HomeMixerRequest = { + HomeMixerRequest( + clientContext = productPipelineQuery.clientContext, + product = ScoredTweetsProduct, + productContext = Some( + ScoredTweetsProductContext( + productPipelineQuery.deviceContext, + productPipelineQuery.seenTweetIds, + productPipelineQuery.features.map(_.getOrElse(ServedTweetIdsFeature, Seq.empty)) + )), + serializedRequestCursor = None, + maxResults = productPipelineQuery.requestedMaxResults, + debugParams = None, + homeRequestParam = false + ) + } + + override def productPipelineResultTransformer( + productPipelineResult: t.ScoredTweetsResponse + ): Seq[ScoredTweetWithConversationMetadata] = { + val scoredTweets = productPipelineResult.scoredTweets.flatMap { focalTweet => + val parentTweets = focalTweet.ancestors.getOrElse(Seq.empty).sortBy(-_.tweetId) + val (intermediates, root) = parentTweets.splitAt(parentTweets.size - 1) + val truncatedIntermediates = + intermediates.take(MaxModuleSize - MaxAncestorsInConversation).reverse + val rootScoredTweet: Seq[ScoredTweetWithConversationMetadata] = root.map { ancestor => + ScoredTweetWithConversationMetadata( + tweetId = ancestor.tweetId, + authorId = ancestor.userId, + suggestType = focalTweet.suggestType, + conversationId = Some(ancestor.tweetId), + conversationFocalTweetId = Some(focalTweet.tweetId) + ) + } + val conversationId = rootScoredTweet.headOption.map(_.tweetId) + + val tweetsToParents = + if (parentTweets.nonEmpty) parentTweets.zip(parentTweets.tail).toMap + else Map.empty[ta.TweetAncestor, ta.TweetAncestor] + + val intermediateScoredTweets = truncatedIntermediates.map { ancestor => + ScoredTweetWithConversationMetadata( + tweetId = ancestor.tweetId, + authorId = ancestor.userId, + suggestType = focalTweet.suggestType, + inReplyToTweetId = tweetsToParents.get(ancestor).map(_.tweetId), + conversationId = conversationId, + conversationFocalTweetId = Some(focalTweet.tweetId) + ) + } + val parentScoredTweets = rootScoredTweet ++ intermediateScoredTweets + + val conversationFocalTweetId = + if (parentScoredTweets.nonEmpty) Some(focalTweet.tweetId) else None + + val focalScoredTweet = ScoredTweetWithConversationMetadata( + tweetId = focalTweet.tweetId, + authorId = focalTweet.authorId, + score = focalTweet.score, + suggestType = focalTweet.suggestType, + sourceTweetId = focalTweet.sourceTweetId, + sourceUserId = focalTweet.sourceUserId, + quotedTweetId = focalTweet.quotedTweetId, + quotedUserId = focalTweet.quotedUserId, + inReplyToTweetId = parentScoredTweets.lastOption.map(_.tweetId), + inReplyToUserId = focalTweet.inReplyToUserId, + directedAtUserId = focalTweet.directedAtUserId, + inNetwork = focalTweet.inNetwork, + favoritedByUserIds = focalTweet.favoritedByUserIds, + followedByUserIds = focalTweet.followedByUserIds, + topicId = focalTweet.topicId, + topicFunctionalityType = focalTweet.topicFunctionalityType, + ancestors = focalTweet.ancestors, + conversationId = conversationId, + conversationFocalTweetId = conversationFocalTweetId, + isReadFromCache = focalTweet.isReadFromCache, + streamToKafka = focalTweet.streamToKafka + ) + + parentScoredTweets :+ focalScoredTweet + } + + val dedupedTweets = scoredTweets.groupBy(_.tweetId).map { + case (_, duplicateAncestors) => duplicateAncestors.maxBy(_.score.getOrElse(0.0)) + } + + // Sort by tweet id to prevent issues with future assumptions of the root being the first + // tweet and the focal being the last tweet in a module. The tweets as a whole do not need + // to be sorted overall, only the relative order within modules must be kept. + dedupedTweets.toSeq.sortBy(_.tweetId) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/BUILD.bazel new file mode 100644 index 000000000..bcf9519f5 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/BUILD.bazel @@ -0,0 +1,21 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor", + ], + exports = [ + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/ForYouQuery.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/ForYouQuery.scala new file mode 100644 index 000000000..ec701ac60 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/ForYouQuery.scala @@ -0,0 +1,50 @@ +package com.twitter.home_mixer.product.for_you.model + +import com.twitter.adserver.thriftscala.HomeTimelineType +import com.twitter.adserver.thriftscala.TimelineRequestParams +import com.twitter.dspbidder.commons.{thriftscala => dsp} +import com.twitter.home_mixer.model.HomeAdsQuery +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.model.request.ForYouProduct +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.onboarding.task.service.{thriftscala => ots} +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.transformer.HasFlipInjectionParams +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.request._ +import com.twitter.product_mixer.core.pipeline.HasPipelineCursor +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.configapi.Params + +case class ForYouQuery( + override val params: Params, + override val clientContext: ClientContext, + override val pipelineCursor: Option[UrtOrderedCursor], + override val requestedMaxResults: Option[Int], + override val debugOptions: Option[DebugOptions], + override val features: Option[FeatureMap], + override val deviceContext: Option[DeviceContext], + override val seenTweetIds: Option[Seq[Long]], + override val dspClientContext: Option[dsp.DspClientContext]) + extends PipelineQuery + with HasPipelineCursor[UrtOrderedCursor] + with HasDeviceContext + with HasSeenTweetIds + with HasFlipInjectionParams + with HomeAdsQuery { + override val product: Product = ForYouProduct + + override def withFeatureMap(features: FeatureMap): ForYouQuery = + copy(features = Some(features)) + + override val timelineRequestParams: Option[TimelineRequestParams] = + Some(TimelineRequestParams(homeTimelineType = Some(HomeTimelineType.Home))) + + // Fields below are used for FLIP Injection in Onboarding Task Service (OTS) + override val displayLocation: ots.DisplayLocation = ots.DisplayLocation.HomeTimeline + override val rankingDisablerWithLatestControlsAvailable: Option[Boolean] = None + override val isEmptyState: Option[Boolean] = None + override val isFirstRequestAfterSignup: Option[Boolean] = None + override val isEndOfTimeline: Option[Boolean] = None +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/ForYouTweetsResponse.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/ForYouTweetsResponse.scala new file mode 100644 index 000000000..68b0d6736 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/model/ForYouTweetsResponse.scala @@ -0,0 +1,5 @@ +package com.twitter.home_mixer.product.for_you.model + +import com.twitter.product_mixer.core.model.marshalling.HasMarshalling + +case class ForYouTweetsResponse(tweetCandidates: Seq[Long]) extends HasMarshalling diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/BUILD.bazel new file mode 100644 index 000000000..a56e3a1fd --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/BUILD.bazel @@ -0,0 +1,14 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "util/util-core/src/main/scala/com/twitter/conversions", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/ForYouParam.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/ForYouParam.scala new file mode 100644 index 000000000..0ed56a3f8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/ForYouParam.scala @@ -0,0 +1,117 @@ +package com.twitter.home_mixer.product.for_you.param + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.param.decider.DeciderKey +import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.WhoToFollowModuleDisplayType +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSEnumParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.decider.BooleanDeciderParam +import com.twitter.util.Duration + +object ForYouParam { + val SupportedClientFSName = "for_you_supported_client" + + object EnableTimelineScorerCandidatePipelineParam + extends FSParam[Boolean]( + name = "for_you_enable_timeline_scorer_candidate_pipeline", + default = true + ) + + object EnableScoredTweetsCandidatePipelineParam + extends BooleanDeciderParam(DeciderKey.EnableForYouScoredTweetsCandidatePipeline) + + object EnableWhoToFollowCandidatePipelineParam + extends FSParam[Boolean]( + name = "for_you_enable_who_to_follow", + default = true + ) + + object EnableScoredTweetsMixerPipelineParam + extends FSParam[Boolean]( + name = "for_you_enable_scored_tweets_mixer_pipeline", + default = true + ) + + object ServerMaxResultsParam + extends FSBoundedParam[Int]( + name = "for_you_server_max_results", + default = 35, + min = 1, + max = 500 + ) + + object TimelineServiceMaxResultsParam + extends FSBoundedParam[Int]( + name = "for_you_timeline_service_max_results", + default = 800, + min = 1, + max = 800 + ) + + object AdsNumOrganicItemsParam + extends FSBoundedParam[Int]( + name = "for_you_ads_num_organic_items", + default = 35, + min = 1, + max = 100 + ) + + object WhoToFollowPositionParam + extends FSBoundedParam[Int]( + name = "for_you_who_to_follow_position", + default = 5, + min = 0, + max = 99 + ) + + object WhoToFollowMinInjectionIntervalParam + extends FSBoundedParam[Duration]( + "for_you_who_to_follow_min_injection_interval_in_minutes", + default = 1800.minutes, + min = 0.minutes, + max = 6000.minutes) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromMinutes + } + + object WhoToFollowDisplayTypeIdParam + extends FSEnumParam[WhoToFollowModuleDisplayType.type]( + name = "for_you_enable_who_to_follow_display_type_id", + default = WhoToFollowModuleDisplayType.Vertical, + enum = WhoToFollowModuleDisplayType + ) + + object EnableFlipInjectionModuleCandidatePipelineParam + extends FSParam[Boolean]( + name = "for_you_enable_flip_inline_injection_module", + default = true + ) + + object FlipInlineInjectionModulePosition + extends FSBoundedParam[Int]( + name = "for_you_flip_inline_injection_module_position", + default = 0, + min = 0, + max = 1000 + ) + + object ClearCacheOnPtr { + + object EnableParam + extends FSParam[Boolean]( + name = "for_you_clear_cache_ptr_enable", + default = false + ) + + case object MinEntriesParam + extends FSBoundedParam[Int]( + name = "for_you_clear_cache_ptr_min_entries", + default = 10, + min = 0, + max = 35 + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/ForYouParamConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/ForYouParamConfig.scala new file mode 100644 index 000000000..ea8e389cc --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/for_you/param/ForYouParamConfig.scala @@ -0,0 +1,43 @@ +package com.twitter.home_mixer.product.for_you.param + +import com.twitter.home_mixer.param.decider.DeciderKey +import com.twitter.home_mixer.product.for_you.param.ForYouParam._ +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.servo.decider.DeciderKeyName +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ForYouParamConfig @Inject() () extends ProductParamConfig { + override val enabledDeciderKey: DeciderKeyName = DeciderKey.EnableForYouProduct + override val supportedClientFSName: String = SupportedClientFSName + + override val booleanDeciderOverrides = Seq( + EnableScoredTweetsCandidatePipelineParam + ) + + override val booleanFSOverrides = Seq( + EnableFlipInjectionModuleCandidatePipelineParam, + EnableWhoToFollowCandidatePipelineParam, + EnableScoredTweetsMixerPipelineParam, + ClearCacheOnPtr.EnableParam, + EnableTimelineScorerCandidatePipelineParam + ) + + override val boundedIntFSOverrides = Seq( + ServerMaxResultsParam, + WhoToFollowPositionParam, + FlipInlineInjectionModulePosition, + TimelineServiceMaxResultsParam, + AdsNumOrganicItemsParam, + ClearCacheOnPtr.MinEntriesParam + ) + + override val boundedDurationFSOverrides = Seq( + WhoToFollowMinInjectionIntervalParam + ) + + override val enumFSOverrides = Seq( + WhoToFollowDisplayTypeIdParam + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/BUILD.bazel new file mode 100644 index 000000000..4c69111d1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/BUILD.bazel @@ -0,0 +1,49 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-core/src/main/scala/com/twitter/inject", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector", + "product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "src/thrift/com/twitter/hermit/candidate:hermit-candidate-scala", + "src/thrift/com/twitter/timelines/render:thrift-scala", + ], + exports = [ + "src/thrift/com/twitter/timelines/render:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListMemberBasedUsersCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListMemberBasedUsersCandidatePipelineConfig.scala new file mode 100644 index 000000000..267c0b4f3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListMemberBasedUsersCandidatePipelineConfig.scala @@ -0,0 +1,89 @@ +package com.twitter.home_mixer.product.list_recommended_users + +import com.twitter.hermit.candidate.{thriftscala => t} +import com.twitter.home_mixer.functional_component.candidate_source.SimilarityBasedUsersCandidateSource +import com.twitter.home_mixer.functional_component.feature_hydrator.ListMembersFeature +import com.twitter.home_mixer.functional_component.filter.PredicateFeatureFilter +import com.twitter.home_mixer.product.list_recommended_users.feature_hydrator.GizmoduckUserFeatureHydrator +import com.twitter.home_mixer.product.list_recommended_users.feature_hydrator.IsListMemberFeatureHydrator +import com.twitter.home_mixer.product.list_recommended_users.filter.DropMaxCandidatesByScoreFilter +import com.twitter.home_mixer.product.list_recommended_users.filter.PreviouslyServedUsersFilter +import com.twitter.home_mixer.product.list_recommended_users.model.ListFeatures.IsListMemberFeature +import com.twitter.home_mixer.product.list_recommended_users.model.ListRecommendedUsersQuery +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.user.UserCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.ClientEventInfoBuilder +import com.twitter.product_mixer.component_library.model.candidate.UserCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListMemberBasedUsersCandidatePipelineConfig @Inject() ( + similarityBasedUsersCandidateSource: SimilarityBasedUsersCandidateSource, + gizmoduckUserFeatureHydrator: GizmoduckUserFeatureHydrator, + isListMemberFeatureHydrator: IsListMemberFeatureHydrator) + extends CandidatePipelineConfig[ + ListRecommendedUsersQuery, + Seq[Long], + t.Candidate, + UserCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ListMemberBasedUsers") + + override val queryTransformer: CandidatePipelineQueryTransformer[ListRecommendedUsersQuery, Seq[ + Long + ]] = { query => + query.features.map(_.getOrElse(ListMembersFeature, Seq.empty)).getOrElse(Seq.empty) + } + + override val candidateSource: BaseCandidateSource[Seq[Long], t.Candidate] = + similarityBasedUsersCandidateSource + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[t.Candidate] + ] = Seq(ListMemberBasedUsersResponseFeatureTransfromer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + t.Candidate, + UserCandidate + ] = { candidate => + UserCandidate(id = candidate.userId) + } + + override val preFilterFeatureHydrationPhase1: Seq[ + BaseCandidateFeatureHydrator[ListRecommendedUsersQuery, UserCandidate, _] + ] = Seq(isListMemberFeatureHydrator) + + override val filters: Seq[Filter[ListRecommendedUsersQuery, UserCandidate]] = + Seq( + PreviouslyServedUsersFilter, + PredicateFeatureFilter.fromPredicate( + FilterIdentifier("IsListMember"), + shouldKeepCandidate = { features => !features.getOrElse(IsListMemberFeature, false) } + ), + DropMaxCandidatesByScoreFilter + ) + + override val postFilterFeatureHydration: Seq[ + BaseCandidateFeatureHydrator[ListRecommendedUsersQuery, UserCandidate, _] + ] = Seq(gizmoduckUserFeatureHydrator) + + override val decorator: Option[CandidateDecorator[ListRecommendedUsersQuery, UserCandidate]] = { + val clientEventInfoBuilder = ClientEventInfoBuilder("user") + val userItemBuilder = UserCandidateUrtItemBuilder(clientEventInfoBuilder) + Some(UrtItemCandidateDecorator(userItemBuilder)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListMemberBasedUsersResponseFeatureTransfromer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListMemberBasedUsersResponseFeatureTransfromer.scala new file mode 100644 index 000000000..bce2ed457 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListMemberBasedUsersResponseFeatureTransfromer.scala @@ -0,0 +1,21 @@ +package com.twitter.home_mixer.product.list_recommended_users + +import com.twitter.hermit.candidate.{thriftscala => t} +import com.twitter.home_mixer.product.list_recommended_users.model.ListFeatures.ScoreFeature +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier + +object ListMemberBasedUsersResponseFeatureTransfromer + extends CandidateFeatureTransformer[t.Candidate] { + + override val identifier: TransformerIdentifier = TransformerIdentifier("ListMemberBasedUsers") + + override val features: Set[Feature[_, _]] = Set(ScoreFeature) + + override def transform(candidate: t.Candidate): FeatureMap = FeatureMapBuilder() + .add(ScoreFeature, candidate.score) + .build() +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListRecommendedUsersMixerPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListRecommendedUsersMixerPipelineConfig.scala new file mode 100644 index 000000000..d370c1057 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListRecommendedUsersMixerPipelineConfig.scala @@ -0,0 +1,100 @@ +package com.twitter.home_mixer.product.list_recommended_users + +import com.twitter.home_mixer.functional_component.feature_hydrator.ListMembersQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.gate.ViewerIsListOwnerGate +import com.twitter.home_mixer.product.list_recommended_users.model.ListFeatures.GizmoduckUserFeature +import com.twitter.home_mixer.product.list_recommended_users.model.ListRecommendedUsersQuery +import com.twitter.home_mixer.product.list_recommended_users.param.ListRecommendedUsersParam.ExcludedIdsMaxLengthParam +import com.twitter.home_mixer.product.list_recommended_users.param.ListRecommendedUsersParam.ServerMaxResultsParam +import com.twitter.product_mixer.component_library.premarshaller.urt.UrtDomainMarshaller +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.AddEntriesWithReplaceInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceAllEntries +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceEntryInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.StaticTimelineScribeConfigBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.UnorderedExcludeIdsBottomCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.UrtMetadataBuilder +import com.twitter.product_mixer.component_library.selector.DropFilteredCandidates +import com.twitter.product_mixer.component_library.selector.DropMaxCandidates +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.functional_component.marshaller.TransportMarshaller +import com.twitter.product_mixer.core.functional_component.marshaller.response.urt.UrtTransportMarshaller +import com.twitter.product_mixer.core.functional_component.premarshaller.DomainMarshaller +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.MixerPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineScribeConfig +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.user.UserItem +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.mixer.MixerPipelineConfig +import com.twitter.timelines.render.{thriftscala => urt} + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListRecommendedUsersMixerPipelineConfig @Inject() ( + listMemberBasedUsersCandidatePipelineConfig: ListMemberBasedUsersCandidatePipelineConfig, + viewerIsListOwnerGate: ViewerIsListOwnerGate, + listMembersQueryFeatureHydrator: ListMembersQueryFeatureHydrator, + urtTransportMarshaller: UrtTransportMarshaller) + extends MixerPipelineConfig[ListRecommendedUsersQuery, Timeline, urt.TimelineResponse] { + + override val identifier: MixerPipelineIdentifier = MixerPipelineIdentifier("ListRecommendedUsers") + + override val gates = Seq(viewerIsListOwnerGate) + + override val fetchQueryFeatures: Seq[QueryFeatureHydrator[ListRecommendedUsersQuery]] = + Seq(listMembersQueryFeatureHydrator) + + override val candidatePipelines: Seq[ + CandidatePipelineConfig[ListRecommendedUsersQuery, _, _, _] + ] = + Seq(listMemberBasedUsersCandidatePipelineConfig) + + override val resultSelectors: Seq[Selector[ListRecommendedUsersQuery]] = Seq( + DropFilteredCandidates( + candidatePipeline = listMemberBasedUsersCandidatePipelineConfig.identifier, + filter = candidate => candidate.features.getOrElse(GizmoduckUserFeature, None).isDefined + ), + DropMaxCandidates( + candidatePipeline = listMemberBasedUsersCandidatePipelineConfig.identifier, + maxSelectionsParam = ServerMaxResultsParam), + InsertAppendResults(listMemberBasedUsersCandidatePipelineConfig.identifier) + ) + + override val domainMarshaller: DomainMarshaller[ListRecommendedUsersQuery, Timeline] = { + val instructionBuilders = Seq( + ReplaceEntryInstructionBuilder(ReplaceAllEntries), + AddEntriesWithReplaceInstructionBuilder() + ) + + val metadataBuilder = UrtMetadataBuilder( + title = None, + scribeConfigBuilder = Some( + StaticTimelineScribeConfigBuilder( + TimelineScribeConfig( + page = Some("list_recommended_users"), + section = None, + entityToken = None))) + ) + + val excludeIdsSelector: PartialFunction[UniversalNoun[_], Long] = { + case item: UserItem => item.id + } + + val cursorBuilder = UnorderedExcludeIdsBottomCursorBuilder( + excludedIdsMaxLengthParam = ExcludedIdsMaxLengthParam, + excludeIdsSelector = excludeIdsSelector) + + UrtDomainMarshaller( + instructionBuilders = instructionBuilders, + metadataBuilder = Some(metadataBuilder), + cursorBuilders = Seq(cursorBuilder) + ) + } + + override val transportMarshaller: TransportMarshaller[Timeline, urt.TimelineResponse] = + urtTransportMarshaller +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListRecommendedUsersProductPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListRecommendedUsersProductPipelineConfig.scala new file mode 100644 index 000000000..e20bb8aec --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/ListRecommendedUsersProductPipelineConfig.scala @@ -0,0 +1,79 @@ +package com.twitter.home_mixer.product.list_recommended_users + +import com.twitter.home_mixer.marshaller.timelines.RecommendedUsersCursorUnmarshaller +import com.twitter.home_mixer.model.request.HomeMixerRequest +import com.twitter.home_mixer.model.request.ListRecommendedUsersProduct +import com.twitter.home_mixer.model.request.ListRecommendedUsersProductContext +import com.twitter.home_mixer.product.list_recommended_users.model.ListRecommendedUsersQuery +import com.twitter.home_mixer.product.list_recommended_users.param.ListRecommendedUsersParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.list_recommended_users.param.ListRecommendedUsersParamConfig +import com.twitter.home_mixer.service.HomeMixerAccessPolicy.DefaultHomeMixerAccessPolicy +import com.twitter.product_mixer.component_library.premarshaller.cursor.UrtCursorSerializer +import com.twitter.product_mixer.core.functional_component.common.access_policy.AccessPolicy +import com.twitter.product_mixer.core.model.common.identifier.ComponentIdentifier +import com.twitter.product_mixer.core.model.common.identifier.ProductPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.request +import com.twitter.product_mixer.core.pipeline.PipelineConfig +import com.twitter.product_mixer.core.pipeline.pipeline_failure.BadRequest +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.pipeline.product.ProductPipelineConfig +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.timelines.configapi.Params +import com.twitter.timelines.render.{thriftscala => urt} +import com.twitter.timelines.util.RequestCursorSerializer +import com.twitter.util.Try + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListRecommendedUsersProductPipelineConfig @Inject() ( + listRecommendedUsersMixerPipelineConfig: ListRecommendedUsersMixerPipelineConfig, + listRecommendedUsersParamConfig: ListRecommendedUsersParamConfig) + extends ProductPipelineConfig[ + HomeMixerRequest, + ListRecommendedUsersQuery, + urt.TimelineResponse + ] { + + override val identifier: ProductPipelineIdentifier = + ProductPipelineIdentifier("ListRecommendedUsers") + override val product: request.Product = ListRecommendedUsersProduct + override val paramConfig: ProductParamConfig = listRecommendedUsersParamConfig + + override def pipelineQueryTransformer( + request: HomeMixerRequest, + params: Params + ): ListRecommendedUsersQuery = { + val context = request.productContext match { + case Some(context: ListRecommendedUsersProductContext) => context + case _ => throw PipelineFailure(BadRequest, "ListRecommendedUsersProductContext not found") + } + + val debugOptions = request.debugParams.flatMap(_.debugOptions) + + val pipelineCursor = request.serializedRequestCursor.flatMap { cursor => + Try(UrtCursorSerializer.deserializeUnorderedExcludeIdsCursor(cursor)) + .getOrElse(RecommendedUsersCursorUnmarshaller(RequestCursorSerializer.deserialize(cursor))) + } + + ListRecommendedUsersQuery( + listId = context.listId, + params = params, + clientContext = request.clientContext, + features = None, + pipelineCursor = pipelineCursor, + requestedMaxResults = Some(params(ServerMaxResultsParam)), + debugOptions = debugOptions, + selectedUserIds = context.selectedUserIds, + excludedUserIds = context.excludedUserIds + ) + } + + override def pipelines: Seq[PipelineConfig] = Seq(listRecommendedUsersMixerPipelineConfig) + + override def pipelineSelector(query: ListRecommendedUsersQuery): ComponentIdentifier = + listRecommendedUsersMixerPipelineConfig.identifier + + override val debugAccessPolicies: Set[AccessPolicy] = DefaultHomeMixerAccessPolicy +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/BUILD.bazel new file mode 100644 index 000000000..326d086a3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/BUILD.bazel @@ -0,0 +1,16 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator", + "src/thrift/com/twitter/gizmoduck:thrift-scala", + "src/thrift/com/twitter/socialgraph:thrift-scala", + "stitch/stitch-gizmoduck", + "stitch/stitch-socialgraph", + ], + exports = [], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/GizmoduckUserFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/GizmoduckUserFeatureHydrator.scala new file mode 100644 index 000000000..d1db2c348 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/GizmoduckUserFeatureHydrator.scala @@ -0,0 +1,59 @@ +package com.twitter.home_mixer.product.list_recommended_users.feature_hydrator + +import com.twitter.gizmoduck.{thriftscala => gt} +import com.twitter.home_mixer.product.list_recommended_users.model.ListFeatures.GizmoduckUserFeature +import com.twitter.product_mixer.component_library.model.candidate.UserCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.spam.rtf.{thriftscala => rtf} +import com.twitter.stitch.Stitch +import com.twitter.stitch.gizmoduck.Gizmoduck +import com.twitter.util.Return + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class GizmoduckUserFeatureHydrator @Inject() (gizmoduck: Gizmoduck) + extends BulkCandidateFeatureHydrator[PipelineQuery, UserCandidate] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("GizmoduckUser") + + override val features: Set[Feature[_, _]] = Set(GizmoduckUserFeature) + + private val queryFields: Set[gt.QueryFields] = Set(gt.QueryFields.Safety) + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[UserCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val context = gt.LookupContext( + forUserId = query.getOptionalUserId, + includeProtected = true, + safetyLevel = Some(rtf.SafetyLevel.Recommendations) + ) + val userIds = candidates.map(_.candidate.id) + + Stitch + .collectToTry( + userIds.map(userId => gizmoduck.getUserById(userId, queryFields, context))).map { + userResults => + val idToUserMap = userResults + .collect { + case Return(user) => user + }.map(user => user.id -> user).toMap + + candidates.map { candidate => + FeatureMapBuilder() + .add(GizmoduckUserFeature, idToUserMap.get(candidate.candidate.id)) + .build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/IsListMemberFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/IsListMemberFeatureHydrator.scala new file mode 100644 index 000000000..a7c51b4b1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/feature_hydrator/IsListMemberFeatureHydrator.scala @@ -0,0 +1,53 @@ +package com.twitter.home_mixer.product.list_recommended_users.feature_hydrator + +import com.twitter.home_mixer.model.request.HasListId +import com.twitter.home_mixer.product.list_recommended_users.model.ListFeatures.IsListMemberFeature +import com.twitter.product_mixer.component_library.model.candidate.UserCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.socialgraph.{thriftscala => sg} +import com.twitter.stitch.Stitch +import com.twitter.stitch.socialgraph.SocialGraph + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class IsListMemberFeatureHydrator @Inject() (socialGraph: SocialGraph) + extends BulkCandidateFeatureHydrator[PipelineQuery with HasListId, UserCandidate] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("IsListMember") + + override val features: Set[Feature[_, _]] = Set(IsListMemberFeature) + + override def apply( + query: PipelineQuery with HasListId, + candidates: Seq[CandidateWithFeatures[UserCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val userIds = candidates.map(_.candidate.id) + val request = sg.IdsRequest( + relationships = Seq( + sg.SrcRelationship( + source = query.listId, + relationshipType = sg.RelationshipType.ListHasMember, + hasRelationship = true, + targets = Some(userIds))), + pageRequest = Some(sg.PageRequest(selectAll = Some(true))) + ) + + socialGraph.ids(request).map(_.ids).map { listMembers => + val listMembersSet = listMembers.toSet + candidates.map { candidate => + FeatureMapBuilder() + .add(IsListMemberFeature, listMembersSet.contains(candidate.candidate.id)) + .build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/BUILD.bazel new file mode 100644 index 000000000..c54e5a7b3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/BUILD.bazel @@ -0,0 +1,13 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/filter", + ], + exports = [], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/DropMaxCandidatesByScoreFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/DropMaxCandidatesByScoreFilter.scala new file mode 100644 index 000000000..d75b301e3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/DropMaxCandidatesByScoreFilter.scala @@ -0,0 +1,29 @@ +package com.twitter.home_mixer.product.list_recommended_users.filter + +import com.twitter.home_mixer.product.list_recommended_users.model.ListFeatures.ScoreFeature +import com.twitter.product_mixer.component_library.model.candidate.UserCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +object DropMaxCandidatesByScoreFilter extends Filter[PipelineQuery, UserCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("DropMaxCandidatesByScore") + + private val MaxSimilarUserCandidates = 1000 + + override def apply( + query: PipelineQuery, + candidates: Seq[CandidateWithFeatures[UserCandidate]] + ): Stitch[FilterResult[UserCandidate]] = { + + val sortedCandidates = candidates.sortBy(-_.features.getOrElse(ScoreFeature, 0.0)) + + val (kept, removed) = sortedCandidates.map(_.candidate).splitAt(MaxSimilarUserCandidates) + + Stitch.value(FilterResult(kept, removed)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/PreviouslyServedUsersFilter.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/PreviouslyServedUsersFilter.scala new file mode 100644 index 000000000..97cd6a5c1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/filter/PreviouslyServedUsersFilter.scala @@ -0,0 +1,35 @@ +package com.twitter.home_mixer.product.list_recommended_users.filter + +import com.twitter.home_mixer.functional_component.feature_hydrator.ListMembersFeature +import com.twitter.home_mixer.product.list_recommended_users.model.ListRecommendedUsersQuery +import com.twitter.product_mixer.component_library.model.candidate.UserCandidate +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.filter.FilterResult +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.stitch.Stitch + +object PreviouslyServedUsersFilter extends Filter[ListRecommendedUsersQuery, UserCandidate] { + + override val identifier: FilterIdentifier = FilterIdentifier("PreviouslyServedUsers") + + override def apply( + query: ListRecommendedUsersQuery, + candidates: Seq[CandidateWithFeatures[UserCandidate]] + ): Stitch[FilterResult[UserCandidate]] = { + + val recentListMembers = query.features.map(_.getOrElse(ListMembersFeature, Seq.empty)) + + val servedUserIds = query.pipelineCursor.map(_.excludedIds) + + val excludedUserIds = (recentListMembers.getOrElse(Seq.empty) ++ + query.selectedUserIds.getOrElse(Seq.empty) ++ + query.excludedUserIds.getOrElse(Seq.empty) ++ + servedUserIds.getOrElse(Seq.empty)).toSet + + val (removed, kept) = + candidates.map(_.candidate).partition(candidate => excludedUserIds.contains(candidate.id)) + + Stitch.value(FilterResult(kept = kept, removed = removed)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/BUILD.bazel new file mode 100644 index 000000000..78302f75b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/BUILD.bazel @@ -0,0 +1,16 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + ], + exports = [ + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/ListFeatures.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/ListFeatures.scala new file mode 100644 index 000000000..9abcd6fb2 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/ListFeatures.scala @@ -0,0 +1,12 @@ +package com.twitter.home_mixer.product.list_recommended_users.model + +import com.twitter.gizmoduck.{thriftscala => gt} +import com.twitter.product_mixer.component_library.model.candidate.UserCandidate +import com.twitter.product_mixer.core.feature.Feature + +object ListFeatures { + // Candidate features + object GizmoduckUserFeature extends Feature[UserCandidate, Option[gt.User]] + object IsListMemberFeature extends Feature[UserCandidate, Boolean] + object ScoreFeature extends Feature[UserCandidate, Double] +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/ListRecommendedUsersQuery.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/ListRecommendedUsersQuery.scala new file mode 100644 index 000000000..8d8c2e6ea --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/model/ListRecommendedUsersQuery.scala @@ -0,0 +1,30 @@ +package com.twitter.home_mixer.product.list_recommended_users.model + +import com.twitter.home_mixer.model.request.HasListId +import com.twitter.home_mixer.model.request.ListRecommendedUsersProduct +import com.twitter.product_mixer.component_library.model.cursor.UrtUnorderedExcludeIdsCursor +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.request._ +import com.twitter.product_mixer.core.pipeline.HasPipelineCursor +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.configapi.Params + +case class ListRecommendedUsersQuery( + override val listId: Long, + override val params: Params, + override val clientContext: ClientContext, + override val pipelineCursor: Option[UrtUnorderedExcludeIdsCursor], + override val requestedMaxResults: Option[Int], + override val debugOptions: Option[DebugOptions], + override val features: Option[FeatureMap], + selectedUserIds: Option[Seq[Long]], + excludedUserIds: Option[Seq[Long]]) + extends PipelineQuery + with HasPipelineCursor[UrtUnorderedExcludeIdsCursor] + with HasListId { + + override val product: Product = ListRecommendedUsersProduct + + override def withFeatureMap(features: FeatureMap): ListRecommendedUsersQuery = + copy(features = Some(features)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/BUILD.bazel new file mode 100644 index 000000000..18867ad9e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/BUILD.bazel @@ -0,0 +1,12 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/ListRecommendedUsersParam.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/ListRecommendedUsersParam.scala new file mode 100644 index 000000000..3822a1987 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/ListRecommendedUsersParam.scala @@ -0,0 +1,23 @@ +package com.twitter.home_mixer.product.list_recommended_users.param + +import com.twitter.timelines.configapi.FSBoundedParam + +object ListRecommendedUsersParam { + val SupportedClientFSName = "list_recommended_users_supported_client" + + object ServerMaxResultsParam + extends FSBoundedParam[Int]( + name = "list_recommended_users_server_max_results", + default = 10, + min = 1, + max = 500 + ) + + object ExcludedIdsMaxLengthParam + extends FSBoundedParam[Int]( + name = "list_recommended_users_excluded_ids_max_length", + default = 2000, + min = 0, + max = 5000 + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/ListRecommendedUsersParamConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/ListRecommendedUsersParamConfig.scala new file mode 100644 index 000000000..b162ef755 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_recommended_users/param/ListRecommendedUsersParamConfig.scala @@ -0,0 +1,22 @@ +package com.twitter.home_mixer.product.list_recommended_users.param + +import com.twitter.home_mixer.param.decider.DeciderKey +import com.twitter.home_mixer.product.list_recommended_users.param.ListRecommendedUsersParam.ExcludedIdsMaxLengthParam +import com.twitter.home_mixer.product.list_recommended_users.param.ListRecommendedUsersParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.list_recommended_users.param.ListRecommendedUsersParam.SupportedClientFSName +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.servo.decider.DeciderKeyName + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListRecommendedUsersParamConfig @Inject() () extends ProductParamConfig { + override val enabledDeciderKey: DeciderKeyName = DeciderKey.EnableListRecommendedUsersProduct + override val supportedClientFSName: String = SupportedClientFSName + + override val boundedIntFSOverrides = Seq( + ServerMaxResultsParam, + ExcludedIdsMaxLengthParam + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/BUILD.bazel new file mode 100644 index 000000000..e60fc064e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/BUILD.bazel @@ -0,0 +1,59 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "ads-injection/lib/src/main/scala/com/twitter/goldfinch/api", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-core/src/main/scala/com/twitter/inject", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/candidate_source", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/urt/builder", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/candidate/param_gated", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect", + "product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/urt/builder", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/item", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/mixer", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "src/thrift/com/twitter/timelines/render:thrift-scala", + "timelines/src/main/scala/com/twitter/timelines/injection/scribe", + ], + exports = [ + "src/thrift/com/twitter/timelines/render:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsAdsCandidatePipelineBuilder.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsAdsCandidatePipelineBuilder.scala new file mode 100644 index 000000000..77c61710a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsAdsCandidatePipelineBuilder.scala @@ -0,0 +1,93 @@ +package com.twitter.home_mixer.product.list_tweets + +import com.twitter.adserver.{thriftscala => ads} +import com.twitter.home_mixer.functional_component.decorator.HomeAdsClientEventDetailsBuilder +import com.twitter.home_mixer.functional_component.gate.ExcludeSoftUserGate +import com.twitter.home_mixer.param.HomeGlobalParams +import com.twitter.home_mixer.param.HomeGlobalParams.EnableAdvertiserBrandSafetySettingsFeatureHydratorParam +import com.twitter.home_mixer.product.list_tweets.model.ListTweetsQuery +import com.twitter.home_mixer.product.list_tweets.param.ListTweetsParam.EnableAdsCandidatePipelineParam +import com.twitter.product_mixer.component_library.candidate_source.ads.AdsProdThriftCandidateSource +import com.twitter.product_mixer.component_library.decorator.urt.UrtItemCandidateDecorator +import com.twitter.product_mixer.component_library.decorator.urt.builder.contextual_ref.ContextualTweetRefBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.item.ad.AdsCandidateUrtItemBuilder +import com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.ClientEventInfoBuilder +import com.twitter.product_mixer.component_library.feature_hydrator.candidate.ads.AdvertiserBrandSafetySettingsFeatureHydrator +import com.twitter.product_mixer.component_library.feature_hydrator.candidate.param_gated.ParamGatedCandidateFeatureHydrator +import com.twitter.product_mixer.component_library.gate.NonEmptyCandidatesGate +import com.twitter.product_mixer.component_library.model.candidate.ads.AdsCandidate +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.AdsDependentCandidatePipelineConfig +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.AdsDependentCandidatePipelineConfigBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.CountCandidatesFromPipelines +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.StaticAdsDisplayLocationBuilder +import com.twitter.product_mixer.component_library.pipeline.candidate.ads.ValidAdImpressionIdFilter +import com.twitter.product_mixer.core.functional_component.common.CandidateScope +import com.twitter.product_mixer.core.gate.ParamNotGate +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.rtf.safety_level.TimelineHomePromotedHydrationSafetyLevel +import com.twitter.product_mixer.core.model.marshalling.response.urt.contextual_ref.TweetHydrationContext +import com.twitter.timelines.injection.scribe.InjectionScribeUtil +import com.twitter.timelineservice.suggests.{thriftscala => st} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListTweetsAdsCandidatePipelineBuilder @Inject() ( + adsCandidatePipelineConfigBuilder: AdsDependentCandidatePipelineConfigBuilder, + adsCandidateSource: AdsProdThriftCandidateSource, + advertiserBrandSafetySettingsFeatureHydrator: AdvertiserBrandSafetySettingsFeatureHydrator[ + ListTweetsQuery, + AdsCandidate + ]) { + + private val identifier: CandidatePipelineIdentifier = CandidatePipelineIdentifier("ListTweetsAds") + + private val suggestType = st.SuggestType.Promoted + + private val clientEventInfoBuilder = ClientEventInfoBuilder( + component = InjectionScribeUtil.scribeComponent(suggestType).get, + detailsBuilder = Some(HomeAdsClientEventDetailsBuilder(Some(suggestType.name))) + ) + + private val contextualTweetRefBuilder = ContextualTweetRefBuilder( + TweetHydrationContext( + safetyLevelOverride = Some(TimelineHomePromotedHydrationSafetyLevel), + outerTweetContext = None + )) + + private val decorator = UrtItemCandidateDecorator( + AdsCandidateUrtItemBuilder( + tweetClientEventInfoBuilder = Some(clientEventInfoBuilder), + contextualTweetRefBuilder = Some(contextualTweetRefBuilder) + ) + ) + + def build( + organicCandidatePipelines: CandidateScope + ): AdsDependentCandidatePipelineConfig[ListTweetsQuery] = + adsCandidatePipelineConfigBuilder.build[ListTweetsQuery]( + adsCandidateSource = adsCandidateSource, + identifier = identifier, + adsDisplayLocationBuilder = + StaticAdsDisplayLocationBuilder(ads.DisplayLocation.TimelineHomeReverseChron), + countNumOrganicItems = CountCandidatesFromPipelines(organicCandidatePipelines), + supportedClientParam = Some(EnableAdsCandidatePipelineParam), + gates = Seq( + ParamNotGate( + name = "AdsDisableInjectionBasedOnUserRole", + param = HomeGlobalParams.AdsDisableInjectionBasedOnUserRoleParam + ), + ExcludeSoftUserGate, + NonEmptyCandidatesGate(organicCandidatePipelines) + ), + filters = Seq(ValidAdImpressionIdFilter), + postFilterFeatureHydration = Seq( + ParamGatedCandidateFeatureHydrator( + EnableAdvertiserBrandSafetySettingsFeatureHydratorParam, + advertiserBrandSafetySettingsFeatureHydrator + ) + ), + decorator = Some(decorator), + urtRequest = Some(true), + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsMixerPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsMixerPipelineConfig.scala new file mode 100644 index 000000000..f4e20ce7e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsMixerPipelineConfig.scala @@ -0,0 +1,155 @@ +package com.twitter.home_mixer.product.list_tweets + +import com.twitter.clientapp.{thriftscala => ca} +import com.twitter.goldfinch.api.AdsInjectionSurfaceAreas +import com.twitter.home_mixer.candidate_pipeline.ConversationServiceCandidatePipelineConfigBuilder +import com.twitter.home_mixer.functional_component.decorator.ListConversationServiceCandidateDecorator +import com.twitter.home_mixer.functional_component.feature_hydrator.RequestQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.side_effect.HomeScribeClientEventSideEffect +import com.twitter.home_mixer.model.GapIncludeInstruction +import com.twitter.home_mixer.product.list_tweets.model.ListTweetsQuery +import com.twitter.home_mixer.util.CandidatesUtil +import com.twitter.logpipeline.client.common.EventPublisher +import com.twitter.product_mixer.component_library.gate.NonEmptyCandidatesGate +import com.twitter.product_mixer.component_library.premarshaller.urt.UrtDomainMarshaller +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.AddEntriesWithReplaceAndShowAlertInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedBottomCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedGapCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.OrderedTopCursorBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceAllEntries +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ReplaceEntryInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.ShowAlertInstructionBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.StaticTimelineScribeConfigBuilder +import com.twitter.product_mixer.component_library.premarshaller.urt.builder.UrtMetadataBuilder +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.component_library.selector.UpdateSortCandidates +import com.twitter.product_mixer.component_library.selector.ads.AdsInjector +import com.twitter.product_mixer.component_library.selector.ads.InsertAdResults +import com.twitter.product_mixer.core.functional_component.common.SpecificPipelines +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.functional_component.marshaller.TransportMarshaller +import com.twitter.product_mixer.core.functional_component.marshaller.response.urt.UrtTransportMarshaller +import com.twitter.product_mixer.core.functional_component.premarshaller.DomainMarshaller +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.MixerPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.response.urt.Timeline +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule +import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineScribeConfig +import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem +import com.twitter.product_mixer.core.pipeline.FailOpenPolicy +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.candidate.DependentCandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.mixer.MixerPipelineConfig +import com.twitter.timelines.render.{thriftscala => urt} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListTweetsMixerPipelineConfig @Inject() ( + listTweetsTimelineServiceCandidatePipelineConfig: ListTweetsTimelineServiceCandidatePipelineConfig, + conversationServiceCandidatePipelineConfigBuilder: ConversationServiceCandidatePipelineConfigBuilder[ + ListTweetsQuery + ], + listTweetsAdsCandidatePipelineBuilder: ListTweetsAdsCandidatePipelineBuilder, + requestQueryFeatureHydrator: RequestQueryFeatureHydrator[ListTweetsQuery], + adsInjector: AdsInjector, + clientEventsScribeEventPublisher: EventPublisher[ca.LogEvent], + urtTransportMarshaller: UrtTransportMarshaller) + extends MixerPipelineConfig[ListTweetsQuery, Timeline, urt.TimelineResponse] { + + override val identifier: MixerPipelineIdentifier = MixerPipelineIdentifier("ListTweets") + + private val conversationServiceCandidatePipelineConfig = + conversationServiceCandidatePipelineConfigBuilder.build( + Seq( + NonEmptyCandidatesGate( + SpecificPipelines(listTweetsTimelineServiceCandidatePipelineConfig.identifier)) + ), + ListConversationServiceCandidateDecorator() + ) + + private val listTweetsAdsCandidatePipelineConfig = listTweetsAdsCandidatePipelineBuilder.build( + SpecificPipelines(listTweetsTimelineServiceCandidatePipelineConfig.identifier) + ) + + override val candidatePipelines: Seq[CandidatePipelineConfig[ListTweetsQuery, _, _, _]] = + Seq(listTweetsTimelineServiceCandidatePipelineConfig) + + override val dependentCandidatePipelines: Seq[ + DependentCandidatePipelineConfig[ListTweetsQuery, _, _, _] + ] = + Seq(conversationServiceCandidatePipelineConfig, listTweetsAdsCandidatePipelineConfig) + + override val failOpenPolicies: Map[CandidatePipelineIdentifier, FailOpenPolicy] = Map( + conversationServiceCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + listTweetsAdsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always) + + override val resultSelectors: Seq[Selector[ListTweetsQuery]] = Seq( + UpdateSortCandidates( + ordering = CandidatesUtil.reverseChronTweetsOrdering, + candidatePipeline = conversationServiceCandidatePipelineConfig.identifier + ), + InsertAppendResults(candidatePipeline = conversationServiceCandidatePipelineConfig.identifier), + InsertAdResults( + surfaceAreaName = AdsInjectionSurfaceAreas.HomeTimeline, + adsInjector = adsInjector.forSurfaceArea(AdsInjectionSurfaceAreas.HomeTimeline), + adsCandidatePipeline = listTweetsAdsCandidatePipelineConfig.identifier + ), + ) + + override val fetchQueryFeatures: Seq[QueryFeatureHydrator[ListTweetsQuery]] = Seq( + requestQueryFeatureHydrator + ) + + private val homeScribeClientEventSideEffect = HomeScribeClientEventSideEffect( + logPipelinePublisher = clientEventsScribeEventPublisher, + injectedTweetsCandidatePipelineIdentifiers = + Seq(conversationServiceCandidatePipelineConfig.identifier), + adsCandidatePipelineIdentifier = listTweetsAdsCandidatePipelineConfig.identifier, + ) + + override val resultSideEffects: Seq[PipelineResultSideEffect[ListTweetsQuery, Timeline]] = + Seq(homeScribeClientEventSideEffect) + + override val domainMarshaller: DomainMarshaller[ListTweetsQuery, Timeline] = { + val instructionBuilders = Seq( + ReplaceEntryInstructionBuilder(ReplaceAllEntries), + AddEntriesWithReplaceAndShowAlertInstructionBuilder(), + ShowAlertInstructionBuilder() + ) + + val idSelector: PartialFunction[UniversalNoun[_], Long] = { + // exclude ads while determining tweet cursor values + case item: TweetItem if item.promotedMetadata.isEmpty => item.id + case module: TimelineModule + if module.items.headOption.exists(_.item.isInstanceOf[TweetItem]) => + module.items.last.item match { + case item: TweetItem => item.id + } + } + + val topCursorBuilder = OrderedTopCursorBuilder(idSelector) + val bottomCursorBuilder = + OrderedBottomCursorBuilder(idSelector, GapIncludeInstruction.inverse()) + val gapCursorBuilder = OrderedGapCursorBuilder(idSelector, GapIncludeInstruction) + + val metadataBuilder = UrtMetadataBuilder( + title = None, + scribeConfigBuilder = Some( + StaticTimelineScribeConfigBuilder( + TimelineScribeConfig(page = Some("list_tweets"), section = None, entityToken = None))) + ) + + UrtDomainMarshaller( + instructionBuilders = instructionBuilders, + metadataBuilder = Some(metadataBuilder), + cursorBuilders = Seq(topCursorBuilder, bottomCursorBuilder, gapCursorBuilder) + ) + } + + override val transportMarshaller: TransportMarshaller[Timeline, urt.TimelineResponse] = + urtTransportMarshaller +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsProductPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsProductPipelineConfig.scala new file mode 100644 index 000000000..06afd9a92 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsProductPipelineConfig.scala @@ -0,0 +1,94 @@ +package com.twitter.home_mixer.product.list_tweets + +import com.twitter.home_mixer.marshaller.timelines.ChronologicalCursorUnmarshaller +import com.twitter.home_mixer.model.request.HomeMixerRequest +import com.twitter.home_mixer.model.request.ListTweetsProduct +import com.twitter.home_mixer.model.request.ListTweetsProductContext +import com.twitter.home_mixer.product.list_tweets.model.ListTweetsQuery +import com.twitter.home_mixer.product.list_tweets.param.ListTweetsParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.list_tweets.param.ListTweetsParamConfig +import com.twitter.home_mixer.service.HomeMixerAccessPolicy.DefaultHomeMixerAccessPolicy +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.component_library.premarshaller.cursor.UrtCursorSerializer +import com.twitter.product_mixer.core.functional_component.common.access_policy.AccessPolicy +import com.twitter.product_mixer.core.model.common.identifier.ComponentIdentifier +import com.twitter.product_mixer.core.model.common.identifier.ProductPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.request +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.GapCursor +import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.TopCursor +import com.twitter.product_mixer.core.pipeline.PipelineConfig +import com.twitter.product_mixer.core.pipeline.pipeline_failure.BadRequest +import com.twitter.product_mixer.core.pipeline.pipeline_failure.MalformedCursor +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.pipeline.product.ProductPipelineConfig +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.product_mixer.core.util.SortIndexBuilder +import com.twitter.timelines.configapi.Params +import com.twitter.timelines.render.{thriftscala => urt} +import com.twitter.timelines.util.RequestCursorSerializer +import com.twitter.util.Time +import com.twitter.util.Try +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListTweetsProductPipelineConfig @Inject() ( + listTweetsMixerPipelineConfig: ListTweetsMixerPipelineConfig, + listTweetsParamConfig: ListTweetsParamConfig) + extends ProductPipelineConfig[HomeMixerRequest, ListTweetsQuery, urt.TimelineResponse] { + + override val identifier: ProductPipelineIdentifier = ProductPipelineIdentifier("ListTweets") + override val product: request.Product = ListTweetsProduct + override val paramConfig: ProductParamConfig = listTweetsParamConfig + + override def pipelineQueryTransformer( + request: HomeMixerRequest, + params: Params + ): ListTweetsQuery = { + val context = request.productContext match { + case Some(context: ListTweetsProductContext) => context + case _ => throw PipelineFailure(BadRequest, "ListTweetsProductContext not found") + } + + val debugOptions = request.debugParams.flatMap(_.debugOptions) + + /** + * Unlike other clients, newly created tweets on Android have the sort index set to the current + * time instead of the top sort index + 1, so these tweets get stuck at the top of the timeline + * if subsequent timeline responses use the sort index from the previous response instead of + * the current time. + */ + val pipelineCursor = request.serializedRequestCursor.flatMap { cursor => + Try(UrtCursorSerializer.deserializeOrderedCursor(cursor)) + .getOrElse(ChronologicalCursorUnmarshaller(RequestCursorSerializer.deserialize(cursor))) + .map { + case UrtOrderedCursor(_, id, Some(GapCursor), gapBoundaryId) + if id.isEmpty || gapBoundaryId.isEmpty => + throw PipelineFailure(MalformedCursor, "Gap Cursor bounds not defined") + case topCursor @ UrtOrderedCursor(_, _, Some(TopCursor), _) => + val queryTime = debugOptions.flatMap(_.requestTimeOverride).getOrElse(Time.now) + topCursor.copy(initialSortIndex = SortIndexBuilder.timeToId(queryTime)) + case cursor => cursor + } + } + + ListTweetsQuery( + params = params, + clientContext = request.clientContext, + features = None, + pipelineCursor = pipelineCursor, + requestedMaxResults = Some(params(ServerMaxResultsParam)), + debugOptions = debugOptions, + listId = context.listId, + deviceContext = context.deviceContext, + dspClientContext = context.dspClientContext + ) + } + + override def pipelines: Seq[PipelineConfig] = Seq(listTweetsMixerPipelineConfig) + + override def pipelineSelector(query: ListTweetsQuery): ComponentIdentifier = + listTweetsMixerPipelineConfig.identifier + + override val debugAccessPolicies: Set[AccessPolicy] = DefaultHomeMixerAccessPolicy +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsTimelineServiceCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsTimelineServiceCandidatePipelineConfig.scala new file mode 100644 index 000000000..aba9f47e0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/ListTweetsTimelineServiceCandidatePipelineConfig.scala @@ -0,0 +1,54 @@ +package com.twitter.home_mixer.product.list_tweets + +import com.twitter.home_mixer.candidate_pipeline.TimelineServiceResponseFeatureTransformer +import com.twitter.home_mixer.marshaller.timelines.TimelineServiceCursorMarshaller +import com.twitter.home_mixer.product.list_tweets.model.ListTweetsQuery +import com.twitter.home_mixer.product.list_tweets.param.ListTweetsParam.ServerMaxResultsParam +import com.twitter.product_mixer.component_library.candidate_source.timeline_service.TimelineServiceTweetCandidateSource +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.timelineservice.{thriftscala => t} +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListTweetsTimelineServiceCandidatePipelineConfig @Inject() ( + timelineServiceTweetCandidateSource: TimelineServiceTweetCandidateSource) + extends CandidatePipelineConfig[ListTweetsQuery, t.TimelineQuery, t.Tweet, TweetCandidate] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ListTweetsTimelineServiceTweets") + + override val queryTransformer: CandidatePipelineQueryTransformer[ + ListTweetsQuery, + t.TimelineQuery + ] = { query => + val timelineQueryOptions = t.TimelineQueryOptions( + contextualUserId = query.clientContext.userId, + ) + + t.TimelineQuery( + timelineType = t.TimelineType.List, + timelineId = query.listId, + maxCount = query.maxResults(ServerMaxResultsParam).toShort, + cursor2 = query.pipelineCursor.flatMap(TimelineServiceCursorMarshaller(_)), + options = Some(timelineQueryOptions), + timelineId2 = Some(t.TimelineId(t.TimelineType.List, query.listId, None)) + ) + } + + override def candidateSource: BaseCandidateSource[t.TimelineQuery, t.Tweet] = + timelineServiceTweetCandidateSource + + override val resultTransformer: CandidatePipelineResultsTransformer[t.Tweet, TweetCandidate] = { + sourceResult => TweetCandidate(id = sourceResult.statusId) + } + + override val featuresFromCandidateSourceTransformers: Seq[CandidateFeatureTransformer[t.Tweet]] = + Seq(TimelineServiceResponseFeatureTransformer) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/model/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/model/BUILD.bazel new file mode 100644 index 000000000..fac4ba949 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/model/BUILD.bazel @@ -0,0 +1,19 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + ], + exports = [ + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/model/ListTweetsQuery.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/model/ListTweetsQuery.scala new file mode 100644 index 000000000..ce8c73c0a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/model/ListTweetsQuery.scala @@ -0,0 +1,38 @@ +package com.twitter.home_mixer.product.list_tweets.model + +import com.twitter.adserver.thriftscala.HomeTimelineType +import com.twitter.adserver.thriftscala.TimelineRequestParams +import com.twitter.dspbidder.commons.{thriftscala => dsp} +import com.twitter.home_mixer.model.HomeAdsQuery +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.model.request.HasListId +import com.twitter.home_mixer.model.request.ListTweetsProduct +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.request._ +import com.twitter.product_mixer.core.pipeline.HasPipelineCursor +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.timelines.configapi.Params + +case class ListTweetsQuery( + override val params: Params, + override val clientContext: ClientContext, + override val pipelineCursor: Option[UrtOrderedCursor], + override val requestedMaxResults: Option[Int], + override val debugOptions: Option[DebugOptions], + override val features: Option[FeatureMap], + override val listId: Long, + override val deviceContext: Option[DeviceContext], + override val dspClientContext: Option[dsp.DspClientContext]) + extends PipelineQuery + with HasPipelineCursor[UrtOrderedCursor] + with HasListId + with HomeAdsQuery { + override val product: Product = ListTweetsProduct + + override def withFeatureMap(features: FeatureMap): ListTweetsQuery = + copy(features = Some(features)) + + override val timelineRequestParams: Option[TimelineRequestParams] = + Some(TimelineRequestParams(homeTimelineType = Some(HomeTimelineType.HomeLatest))) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/BUILD.bazel new file mode 100644 index 000000000..18867ad9e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/BUILD.bazel @@ -0,0 +1,12 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/ListTweetsParam.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/ListTweetsParam.scala new file mode 100644 index 000000000..827d29f10 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/ListTweetsParam.scala @@ -0,0 +1,22 @@ +package com.twitter.home_mixer.product.list_tweets.param + +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam + +object ListTweetsParam { + val SupportedClientFSName = "list_tweets_supported_client" + + object EnableAdsCandidatePipelineParam + extends FSParam[Boolean]( + name = "list_tweets_enable_ads", + default = false + ) + + object ServerMaxResultsParam + extends FSBoundedParam[Int]( + name = "list_tweets_server_max_results", + default = 100, + min = 1, + max = 500 + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/ListTweetsParamConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/ListTweetsParamConfig.scala new file mode 100644 index 000000000..01575db92 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/list_tweets/param/ListTweetsParamConfig.scala @@ -0,0 +1,23 @@ +package com.twitter.home_mixer.product.list_tweets.param + +import com.twitter.home_mixer.param.decider.DeciderKey +import com.twitter.home_mixer.product.list_tweets.param.ListTweetsParam.EnableAdsCandidatePipelineParam +import com.twitter.home_mixer.product.list_tweets.param.ListTweetsParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.list_tweets.param.ListTweetsParam.SupportedClientFSName +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.servo.decider.DeciderKeyName +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ListTweetsParamConfig @Inject() () extends ProductParamConfig { + override val enabledDeciderKey: DeciderKeyName = DeciderKey.EnableListTweetsProduct + override val supportedClientFSName: String = SupportedClientFSName + + override val booleanFSOverrides = + Seq(EnableAdsCandidatePipelineParam) + + override val boundedIntFSOverrides = Seq( + ServerMaxResultsParam + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/BUILD.bazel new file mode 100644 index 000000000..e016b2a82 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/BUILD.bazel @@ -0,0 +1,57 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-core/src/main/scala/com/twitter/inject", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/candidate_pipeline", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/selector", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/side_effect", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/module", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/following/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/async", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/impressed_tweets", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/premarshaller/urt", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tweet_tlx", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect", + "product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/configapi", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/recommendation", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/ScoredTweetsProductPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/ScoredTweetsProductPipelineConfig.scala new file mode 100644 index 000000000..9870030b8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/ScoredTweetsProductPipelineConfig.scala @@ -0,0 +1,72 @@ +package com.twitter.home_mixer.product.scored_tweets + +import com.twitter.home_mixer.model.HomeFeatures.ServedTweetIdsFeature +import com.twitter.home_mixer.model.request.HomeMixerRequest +import com.twitter.home_mixer.model.request.ScoredTweetsProduct +import com.twitter.home_mixer.model.request.ScoredTweetsProductContext +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParamConfig +import com.twitter.home_mixer.service.HomeMixerAccessPolicy.DefaultHomeMixerAccessPolicy +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.common.access_policy.AccessPolicy +import com.twitter.product_mixer.core.model.common.identifier.ComponentIdentifier +import com.twitter.product_mixer.core.model.common.identifier.ProductPipelineIdentifier +import com.twitter.product_mixer.core.model.marshalling.request.Product +import com.twitter.product_mixer.core.pipeline.PipelineConfig +import com.twitter.product_mixer.core.pipeline.pipeline_failure.BadRequest +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.pipeline.product.ProductPipelineConfig +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.timelines.configapi.Params +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ScoredTweetsProductPipelineConfig @Inject() ( + scoredTweetsRecommendationPipelineConfig: ScoredTweetsRecommendationPipelineConfig, + scoredTweetsParamConfig: ScoredTweetsParamConfig) + extends ProductPipelineConfig[HomeMixerRequest, ScoredTweetsQuery, t.ScoredTweets] { + + override val identifier: ProductPipelineIdentifier = ProductPipelineIdentifier("ScoredTweets") + + override val product: Product = ScoredTweetsProduct + + override val paramConfig: ProductParamConfig = scoredTweetsParamConfig + + override def pipelineQueryTransformer( + request: HomeMixerRequest, + params: Params + ): ScoredTweetsQuery = { + val context = request.productContext match { + case Some(context: ScoredTweetsProductContext) => context + case _ => throw PipelineFailure(BadRequest, "ScoredTweetsProductContext not found") + } + + val featureMap = context.servedTweetIds.map { servedTweets => + FeatureMapBuilder() + .add(ServedTweetIdsFeature, servedTweets) + .build() + } + + ScoredTweetsQuery( + params = params, + clientContext = request.clientContext, + features = featureMap, + pipelineCursor = None, + requestedMaxResults = Some(params(ServerMaxResultsParam)), + debugOptions = request.debugParams.flatMap(_.debugOptions), + deviceContext = context.deviceContext, + seenTweetIds = context.seenTweetIds, + qualityFactorStatus = None + ) + } + + override val pipelines: Seq[PipelineConfig] = Seq(scoredTweetsRecommendationPipelineConfig) + + override def pipelineSelector(query: ScoredTweetsQuery): ComponentIdentifier = + scoredTweetsRecommendationPipelineConfig.identifier + + override val debugAccessPolicies: Set[AccessPolicy] = DefaultHomeMixerAccessPolicy +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/ScoredTweetsRecommendationPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/ScoredTweetsRecommendationPipelineConfig.scala new file mode 100644 index 000000000..8d64a2976 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/ScoredTweetsRecommendationPipelineConfig.scala @@ -0,0 +1,254 @@ +package com.twitter.home_mixer.product.scored_tweets + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.functional_component.feature_hydrator.LastNonPollingTimeQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.RealGraphInNetworkScoresQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.RealGraphQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.RealTimeInteractionGraphUserVertexQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.RequestQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.TweetImpressionsQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.TwhinUserEngagementQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.TwhinUserFollowQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.UserLanguagesFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.UserStateQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates.PartAAggregateQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates.PartBAggregateQueryFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates.UserEngagementRealTimeAggregatesFeatureHydrator +import com.twitter.home_mixer.functional_component.filter.KeepBestOutOfNetworkTweetPerAuthorFilter +import com.twitter.home_mixer.functional_component.filter.OutOfNetworkCompetitorFilter +import com.twitter.home_mixer.functional_component.filter.OutOfNetworkCompetitorURLFilter +import com.twitter.home_mixer.functional_component.filter.PreviouslySeenTweetsFilter +import com.twitter.home_mixer.functional_component.filter.PreviouslyServedTweetsFilter +import com.twitter.home_mixer.functional_component.filter.RejectTweetFromViewerFilter +import com.twitter.home_mixer.functional_component.filter.RetweetDeduplicationFilter +import com.twitter.home_mixer.functional_component.side_effect.PublishClientSentImpressionsEventBusSideEffect +import com.twitter.home_mixer.functional_component.side_effect.PublishClientSentImpressionsManhattanSideEffect +import com.twitter.home_mixer.functional_component.side_effect.UpdateLastNonPollingTimeSideEffect +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.param.HomeMixerFlagName.TargetFetchLatency +import com.twitter.home_mixer.param.HomeMixerFlagName.TargetScoringLatency +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.CachedScoredTweetsCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.ScoredTweetsCrMixerCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.ScoredTweetsFrsCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.ScoredTweetsInNetworkCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.ScoredTweetsUtegCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.feature_hydrator.CachedScoredTweetsQueryFeatureHydrator +import com.twitter.home_mixer.product.scored_tweets.marshaller.ScoredTweetsResponseDomainMarshaller +import com.twitter.home_mixer.product.scored_tweets.marshaller.ScoredTweetsResponseTransportMarshaller +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsResponse +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.ServerMaxResultsParam +import com.twitter.home_mixer.product.scored_tweets.scoring_pipeline.ScoredTweetsDiversityScoringPipelineConfig +import com.twitter.home_mixer.product.scored_tweets.scoring_pipeline.ScoredTweetsRescoreOONScoringPipelineConfig +import com.twitter.home_mixer.product.scored_tweets.scoring_pipeline.ScoredTweetsRescoreVerifiedAuthorScoringPipelineConfig +import com.twitter.home_mixer.product.scored_tweets.scoring_pipeline.ScoredTweetsScoringPipelineConfig +import com.twitter.home_mixer.product.scored_tweets.scoring_pipeline.ScoredTweetsWeightedScoresSumScoringPipelineConfig +import com.twitter.home_mixer.product.scored_tweets.side_effect.CachedScoredTweetsSideEffect +import com.twitter.home_mixer.product.scored_tweets.side_effect.ScribeServedCommonFeaturesAndCandidateFeaturesSideEffect +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.inject.annotations.Flag +import com.twitter.product_mixer.component_library.feature_hydrator.query.async.AsyncQueryFeatureHydrator +import com.twitter.product_mixer.component_library.feature_hydrator.query.impressed_tweets.ImpressedTweetsQueryFeatureHydrator +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.selector.DropDuplicateCandidates +import com.twitter.product_mixer.component_library.selector.DropMaxCandidates +import com.twitter.product_mixer.component_library.selector.IdAndClassDuplicationKey +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.component_library.selector.PickFirstCandidateMerger +import com.twitter.product_mixer.component_library.selector.UpdateSortCandidates +import com.twitter.product_mixer.component_library.selector.sorter.FeatureValueSorter +import com.twitter.product_mixer.core.functional_component.common.AllPipelines +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.marshaller.TransportMarshaller +import com.twitter.product_mixer.core.functional_component.premarshaller.DomainMarshaller +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.ComponentIdentifier +import com.twitter.product_mixer.core.model.common.identifier.RecommendationPipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.ScoringPipelineIdentifier +import com.twitter.product_mixer.core.pipeline.FailOpenPolicy +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.product_mixer.core.pipeline.recommendation.RecommendationPipelineConfig +import com.twitter.product_mixer.core.pipeline.scoring.ScoringPipelineConfig +import com.twitter.product_mixer.core.quality_factor.BoundsWithDefault +import com.twitter.product_mixer.core.quality_factor.LinearLatencyQualityFactorConfig +import com.twitter.product_mixer.core.quality_factor.QualityFactorConfig +import com.twitter.util.Duration +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ScoredTweetsRecommendationPipelineConfig @Inject() ( + scoredTweetsInNetworkCandidatePipelineConfig: ScoredTweetsInNetworkCandidatePipelineConfig, + scoredTweetsUtegCandidatePipelineConfig: ScoredTweetsUtegCandidatePipelineConfig, + scoredTweetsCrMixerCandidatePipelineConfig: ScoredTweetsCrMixerCandidatePipelineConfig, + scoredTweetsFrsCandidatePipelineConfig: ScoredTweetsFrsCandidatePipelineConfig, + cachedScoredTweetsCandidatePipelineConfig: CachedScoredTweetsCandidatePipelineConfig, + requestQueryFeatureHydrator: RequestQueryFeatureHydrator[ScoredTweetsQuery], + lastNonPollingTimeQueryFeatureHydrator: LastNonPollingTimeQueryFeatureHydrator, + realTimeInteractionGraphUserVertexQueryFeatureHydrator: RealTimeInteractionGraphUserVertexQueryFeatureHydrator, + userStateQueryFeatureHydrator: UserStateQueryFeatureHydrator, + userEngagementRealTimeAggregatesFeatureHydrator: UserEngagementRealTimeAggregatesFeatureHydrator, + twhinUserEngagementQueryFeatureHydrator: TwhinUserEngagementQueryFeatureHydrator, + twhinUserFollowQueryFeatureHydrator: TwhinUserFollowQueryFeatureHydrator, + cachedScoredTweetsQueryFeatureHydrator: CachedScoredTweetsQueryFeatureHydrator, + scoredTweetsScoringPipelineConfig: ScoredTweetsScoringPipelineConfig, + scoredTweetsWeightedScoresSumScoringPipelineConfig: ScoredTweetsWeightedScoresSumScoringPipelineConfig, + manhattanTweetImpressionsQueryFeatureHydrator: TweetImpressionsQueryFeatureHydrator[ + ScoredTweetsQuery + ], + memcacheTweetImpressionsQueryFeatureHydrator: ImpressedTweetsQueryFeatureHydrator, + publishClientSentImpressionsEventBusSideEffect: PublishClientSentImpressionsEventBusSideEffect, + publishClientSentImpressionsManhattanSideEffect: PublishClientSentImpressionsManhattanSideEffect, + realGraphInNetworkScoresQueryFeatureHydrator: RealGraphInNetworkScoresQueryFeatureHydrator, + realGraphQueryFeatureHydrator: RealGraphQueryFeatureHydrator, + userLanguagesFeatureHydrator: UserLanguagesFeatureHydrator, + partAAggregateQueryFeatureHydrator: PartAAggregateQueryFeatureHydrator, + partBAggregateQueryFeatureHydrator: PartBAggregateQueryFeatureHydrator, + cachedScoredTweetsSideEffect: CachedScoredTweetsSideEffect, + scribeServedCommonFeaturesAndCandidateFeaturesSideEffect: ScribeServedCommonFeaturesAndCandidateFeaturesSideEffect, + updateLastNonPollingTimeSideEffect: UpdateLastNonPollingTimeSideEffect[ + ScoredTweetsQuery, + ScoredTweetsResponse + ], + @Flag(TargetFetchLatency) targetFetchLatency: Duration, + @Flag(TargetScoringLatency) targetScoringLatency: Duration) + extends RecommendationPipelineConfig[ + ScoredTweetsQuery, + TweetCandidate, + ScoredTweetsResponse, + t.ScoredTweetsResponse + ] { + + override val identifier: RecommendationPipelineIdentifier = + RecommendationPipelineIdentifier("ScoredTweets") + + private val scoringStep = RecommendationPipelineConfig.scoringPipelinesStep + + override val fetchQueryFeatures: Seq[QueryFeatureHydrator[ScoredTweetsQuery]] = Seq( + requestQueryFeatureHydrator, + realGraphInNetworkScoresQueryFeatureHydrator, + cachedScoredTweetsQueryFeatureHydrator, + manhattanTweetImpressionsQueryFeatureHydrator, + memcacheTweetImpressionsQueryFeatureHydrator, + AsyncQueryFeatureHydrator(scoringStep, realGraphQueryFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, lastNonPollingTimeQueryFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, userStateQueryFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, userLanguagesFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, userEngagementRealTimeAggregatesFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, realTimeInteractionGraphUserVertexQueryFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, twhinUserFollowQueryFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, twhinUserEngagementQueryFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, partAAggregateQueryFeatureHydrator), + AsyncQueryFeatureHydrator(scoringStep, partBAggregateQueryFeatureHydrator), + ) + + override val candidatePipelines: Seq[ + CandidatePipelineConfig[ScoredTweetsQuery, _, _, TweetCandidate] + ] = Seq( + cachedScoredTweetsCandidatePipelineConfig, + scoredTweetsInNetworkCandidatePipelineConfig, + scoredTweetsUtegCandidatePipelineConfig, + scoredTweetsCrMixerCandidatePipelineConfig, + scoredTweetsFrsCandidatePipelineConfig + ) + + override val postCandidatePipelinesSelectors: Seq[Selector[ScoredTweetsQuery]] = Seq( + DropDuplicateCandidates( + pipelineScope = AllPipelines, + duplicationKey = IdAndClassDuplicationKey, + mergeStrategy = PickFirstCandidateMerger + ), + InsertAppendResults(AllPipelines) + ) + + override val globalFilters: Seq[Filter[ScoredTweetsQuery, TweetCandidate]] = Seq( + // sort these to have the "cheaper" filters run first + RejectTweetFromViewerFilter, + RetweetDeduplicationFilter, + PreviouslyServedTweetsFilter, + PreviouslySeenTweetsFilter, + OutOfNetworkCompetitorFilter + ) + + override val candidatePipelineFailOpenPolicies: Map[CandidatePipelineIdentifier, FailOpenPolicy] = + Map( + cachedScoredTweetsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + scoredTweetsInNetworkCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + scoredTweetsUtegCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + scoredTweetsCrMixerCandidatePipelineConfig.identifier -> FailOpenPolicy.Always, + scoredTweetsFrsCandidatePipelineConfig.identifier -> FailOpenPolicy.Always + ) + + override val scoringPipelineFailOpenPolicies: Map[ScoringPipelineIdentifier, FailOpenPolicy] = + Map( + ScoredTweetsRescoreOONScoringPipelineConfig.identifier -> FailOpenPolicy.Always, + ScoredTweetsRescoreVerifiedAuthorScoringPipelineConfig.identifier -> FailOpenPolicy.Always, + ScoredTweetsDiversityScoringPipelineConfig.identifier -> FailOpenPolicy.Always + ) + + private val candidatePipelineQualityFactorConfig = LinearLatencyQualityFactorConfig( + qualityFactorBounds = BoundsWithDefault(minInclusive = 0.1, maxInclusive = 1.0, default = 0.4), + initialDelay = 60.seconds, + targetLatency = targetFetchLatency, + targetLatencyPercentile = 95.0, + delta = 0.00125 + ) + + private val scoringPipelineQualityFactorConfig = + candidatePipelineQualityFactorConfig.copy(targetLatency = targetScoringLatency) + + override val qualityFactorConfigs: Map[ComponentIdentifier, QualityFactorConfig] = Map( + // candidate pipelines + scoredTweetsInNetworkCandidatePipelineConfig.identifier -> candidatePipelineQualityFactorConfig, + scoredTweetsUtegCandidatePipelineConfig.identifier -> candidatePipelineQualityFactorConfig, + scoredTweetsCrMixerCandidatePipelineConfig.identifier -> candidatePipelineQualityFactorConfig, + scoredTweetsFrsCandidatePipelineConfig.identifier -> candidatePipelineQualityFactorConfig, + // scoring pipelines + scoredTweetsScoringPipelineConfig.identifier -> scoringPipelineQualityFactorConfig, + ) + + override val scoringPipelines: Seq[ScoringPipelineConfig[ScoredTweetsQuery, TweetCandidate]] = + Seq( + // scoring pipielines - run on non-cached candidates only since cached ones are already scored + scoredTweetsScoringPipelineConfig, + scoredTweetsWeightedScoresSumScoringPipelineConfig, + // re-scoring pipielines - run on all candidates since these are request specific + ScoredTweetsRescoreOONScoringPipelineConfig, + ScoredTweetsRescoreVerifiedAuthorScoringPipelineConfig, + ScoredTweetsDiversityScoringPipelineConfig + ) + + override val resultSelectors: Seq[Selector[ScoredTweetsQuery]] = Seq( + UpdateSortCandidates(AllPipelines, FeatureValueSorter.descending(ScoreFeature)), + DropMaxCandidates(AllPipelines, ServerMaxResultsParam), + InsertAppendResults(AllPipelines) + ) + + override val postSelectionFilters = Seq( + OutOfNetworkCompetitorURLFilter, + KeepBestOutOfNetworkTweetPerAuthorFilter, + ) + + override val resultSideEffects: Seq[ + PipelineResultSideEffect[ScoredTweetsQuery, ScoredTweetsResponse] + ] = Seq( + cachedScoredTweetsSideEffect, + scribeServedCommonFeaturesAndCandidateFeaturesSideEffect, + publishClientSentImpressionsEventBusSideEffect, + publishClientSentImpressionsManhattanSideEffect, + updateLastNonPollingTimeSideEffect + ) + + override val domainMarshaller: DomainMarshaller[ + ScoredTweetsQuery, + ScoredTweetsResponse + ] = ScoredTweetsResponseDomainMarshaller + + override val transportMarshaller: TransportMarshaller[ + ScoredTweetsResponse, + t.ScoredTweetsResponse + ] = ScoredTweetsResponseTransportMarshaller +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/BUILD.bazel new file mode 100644 index 000000000..c5cec9df1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/BUILD.bazel @@ -0,0 +1,41 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-core/src/main/scala/com/twitter/inject", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/filter", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/gate", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_source", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/filter", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate", + "product-mixer/core/src/main/java/com/twitter/product_mixer/core/product/guice/scope", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/request", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor", + "src/thrift/com/twitter/timelineranker:thrift-scala", + ], + exports = [ + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "src/thrift/com/twitter/timelineranker:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/CachedScoredTweetsCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/CachedScoredTweetsCandidatePipelineConfig.scala new file mode 100644 index 000000000..95cc79aad --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/CachedScoredTweetsCandidatePipelineConfig.scala @@ -0,0 +1,53 @@ +package com.twitter.home_mixer.product.scored_tweets.candidate_pipeline + +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.CachedScoredTweetsCandidatePipelineConfig._ +import com.twitter.home_mixer.product.scored_tweets.candidate_source.CachedScoredTweetsCandidateSource +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.response_transformer.CachedScoredTweetsResponseFeatureTransformer +import com.twitter.home_mixer.{thriftscala => hmt} +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config that fetches tweets from Scored Tweets Cache. + */ +@Singleton +class CachedScoredTweetsCandidatePipelineConfig @Inject() ( + cachedScoredTweetsCandidateSource: CachedScoredTweetsCandidateSource) + extends CandidatePipelineConfig[ + ScoredTweetsQuery, + ScoredTweetsQuery, + hmt.CachedScoredTweet, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = Identifier + + override val queryTransformer: CandidatePipelineQueryTransformer[ + ScoredTweetsQuery, + ScoredTweetsQuery + ] = identity + + override val candidateSource: BaseCandidateSource[ScoredTweetsQuery, hmt.CachedScoredTweet] = + cachedScoredTweetsCandidateSource + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[hmt.CachedScoredTweet] + ] = Seq(CachedScoredTweetsResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + hmt.CachedScoredTweet, + TweetCandidate + ] = { sourceResult => TweetCandidate(id = sourceResult.tweetId) } +} + +object CachedScoredTweetsCandidatePipelineConfig { + val Identifier: CandidatePipelineIdentifier = CandidatePipelineIdentifier("CachedScoredTweets") +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsCrMixerCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsCrMixerCandidatePipelineConfig.scala new file mode 100644 index 000000000..1ec9353f8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsCrMixerCandidatePipelineConfig.scala @@ -0,0 +1,98 @@ +package com.twitter.home_mixer.product.scored_tweets.candidate_pipeline + +import com.twitter.cr_mixer.{thriftscala => t} +import com.twitter.home_mixer.functional_component.feature_hydrator.TweetypieStaticEntitiesFeatureHydrator +import com.twitter.home_mixer.functional_component.filter.PredicateFeatureFilter +import com.twitter.home_mixer.functional_component.gate.MinCachedTweetsGate +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CachedScoredTweets +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CrMixerSource +import com.twitter.home_mixer.product.scored_tweets.response_transformer.ScoredTweetsCrMixerResponseFeatureTransformer +import com.twitter.home_mixer.util.CachedScoredTweetsHelper +import com.twitter.product_mixer.component_library.candidate_source.cr_mixer.CrMixerTweetRecommendationsCandidateSource +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.functional_component.marshaller.request.ClientContextMarshaller +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.model.common.identifier.FilterIdentifier +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.timelines.configapi.decider.DeciderParam +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config that fetches tweets from CrMixer. + */ +@Singleton +class ScoredTweetsCrMixerCandidatePipelineConfig @Inject() ( + crMixerTweetRecommendationsCandidateSource: CrMixerTweetRecommendationsCandidateSource, + tweetypieStaticEntitiesFeatureHydrator: TweetypieStaticEntitiesFeatureHydrator) + extends CandidatePipelineConfig[ + ScoredTweetsQuery, + t.CrMixerTweetRequest, + t.TweetRecommendation, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ScoredTweetsCrMixer") + + val HasAuthorFilterId = "HasAuthor" + + override val enabledDeciderParam: Option[DeciderParam[Boolean]] = + Some(CrMixerSource.EnableCandidatePipelineParam) + + override val gates: Seq[Gate[ScoredTweetsQuery]] = Seq( + MinCachedTweetsGate(identifier, CachedScoredTweets.MinCachedTweetsParam) + ) + + override val candidateSource: BaseCandidateSource[t.CrMixerTweetRequest, t.TweetRecommendation] = + crMixerTweetRecommendationsCandidateSource + + private val MaxTweetsToFetch = 500 + + override val queryTransformer: CandidatePipelineQueryTransformer[ + ScoredTweetsQuery, + t.CrMixerTweetRequest + ] = { query => + val maxCount = (query.getQualityFactorCurrentValue(identifier) * MaxTweetsToFetch).toInt + + val excludedTweetIds = query.features.map( + CachedScoredTweetsHelper.tweetImpressionsAndCachedScoredTweets(_, identifier)) + + t.CrMixerTweetRequest( + clientContext = ClientContextMarshaller(query.clientContext), + product = t.Product.Home, + productContext = + Some(t.ProductContext.HomeContext(t.HomeContext(maxResults = Some(maxCount)))), + excludedTweetIds = excludedTweetIds + ) + } + + override val preFilterFeatureHydrationPhase1: Seq[ + BaseCandidateFeatureHydrator[ScoredTweetsQuery, TweetCandidate, _] + ] = Seq(tweetypieStaticEntitiesFeatureHydrator) + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[t.TweetRecommendation] + ] = Seq(ScoredTweetsCrMixerResponseFeatureTransformer) + + override val filters: Seq[Filter[ScoredTweetsQuery, TweetCandidate]] = Seq( + PredicateFeatureFilter.fromPredicate( + FilterIdentifier(HasAuthorFilterId), + shouldKeepCandidate = _.getOrElse(AuthorIdFeature, None).isDefined + ) + ) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + t.TweetRecommendation, + TweetCandidate + ] = { sourceResult => TweetCandidate(id = sourceResult.tweetId) } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsFrsCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsFrsCandidatePipelineConfig.scala new file mode 100644 index 000000000..018eaa688 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsFrsCandidatePipelineConfig.scala @@ -0,0 +1,67 @@ +package com.twitter.home_mixer.product.scored_tweets.candidate_pipeline + +import com.twitter.home_mixer.functional_component.gate.MinCachedTweetsGate +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CachedScoredTweets +import com.twitter.home_mixer.product.scored_tweets.query_feature_hydrator.FrsSeedUsersQueryFeatureHydrator +import com.twitter.home_mixer.product.scored_tweets.query_transformer.TimelineRankerFrsQueryTransformer +import com.twitter.home_mixer.product.scored_tweets.response_transformer.ScoredTweetsFrsResponseFeatureTransformer +import com.twitter.product_mixer.component_library.candidate_source.timeline_ranker.TimelineRankerRecapCandidateSource +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseQueryFeatureHydrator +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.timelineranker.{thriftscala => tlr} +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config that takes user recommendations from Follow Recommendation Service (FRS) + * and makes a TimelineRanker->Earlybird query for tweet candidates from those users. + * Additionally, the candidate pipeline hydrates followedByUserIds so that followed-by social proof + * can be used. + */ +@Singleton +class ScoredTweetsFrsCandidatePipelineConfig @Inject() ( + timelineRankerRecapCandidateSource: TimelineRankerRecapCandidateSource, + frsSeedUsersQueryFeatureHydrator: FrsSeedUsersQueryFeatureHydrator) + extends CandidatePipelineConfig[ + ScoredTweetsQuery, + tlr.RecapQuery, + tlr.CandidateTweet, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ScoredTweetsFrs") + + override val gates: Seq[Gate[ScoredTweetsQuery]] = Seq( + MinCachedTweetsGate(identifier, CachedScoredTweets.MinCachedTweetsParam) + ) + + override val queryFeatureHydration: Seq[ + BaseQueryFeatureHydrator[ScoredTweetsQuery, _] + ] = Seq(frsSeedUsersQueryFeatureHydrator) + + override val candidateSource: BaseCandidateSource[tlr.RecapQuery, tlr.CandidateTweet] = + timelineRankerRecapCandidateSource + + override val queryTransformer: CandidatePipelineQueryTransformer[ + ScoredTweetsQuery, + tlr.RecapQuery + ] = TimelineRankerFrsQueryTransformer(identifier) + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[tlr.CandidateTweet] + ] = Seq(ScoredTweetsFrsResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + tlr.CandidateTweet, + TweetCandidate + ] = { candidate => TweetCandidate(candidate.tweet.get.id) } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsInNetworkCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsInNetworkCandidatePipelineConfig.scala new file mode 100644 index 000000000..28118238d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsInNetworkCandidatePipelineConfig.scala @@ -0,0 +1,82 @@ +package com.twitter.home_mixer.product.scored_tweets.candidate_pipeline + +import com.twitter.home_mixer.functional_component.feature_hydrator.ReplyFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.RetweetSourceTweetFeatureHydrator +import com.twitter.home_mixer.functional_component.filter.RetweetSourceTweetRemovingFilter +import com.twitter.home_mixer.functional_component.gate.MinCachedTweetsGate +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CachedScoredTweets +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.InNetworkSource +import com.twitter.home_mixer.product.scored_tweets.query_transformer.TimelineRankerInNetworkQueryTransformer +import com.twitter.home_mixer.product.scored_tweets.response_transformer.ScoredTweetsInNetworkResponseFeatureTransformer +import com.twitter.product_mixer.component_library.candidate_source.timeline_ranker.TimelineRankerInNetworkCandidateSource +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.filter.Filter +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.timelineranker.{thriftscala => t} +import com.twitter.timelines.configapi.decider.DeciderParam + +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config to fetch in-network tweets from Timeline Ranker's Recycled source + */ +@Singleton +class ScoredTweetsInNetworkCandidatePipelineConfig @Inject() ( + timelineRankerInNetworkCandidateSource: TimelineRankerInNetworkCandidateSource, + replyFeatureHydrator: ReplyFeatureHydrator) + extends CandidatePipelineConfig[ + ScoredTweetsQuery, + t.RecapQuery, + t.CandidateTweet, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ScoredTweetsInNetwork") + + override val enabledDeciderParam: Option[DeciderParam[Boolean]] = + Some(InNetworkSource.EnableCandidatePipelineParam) + + override val gates: Seq[Gate[ScoredTweetsQuery]] = Seq( + MinCachedTweetsGate(identifier, CachedScoredTweets.MinCachedTweetsParam) + ) + + override val candidateSource: BaseCandidateSource[t.RecapQuery, t.CandidateTweet] = + timelineRankerInNetworkCandidateSource + + override val queryTransformer: CandidatePipelineQueryTransformer[ + ScoredTweetsQuery, + t.RecapQuery + ] = TimelineRankerInNetworkQueryTransformer(identifier) + + override val preFilterFeatureHydrationPhase1: Seq[ + BaseCandidateFeatureHydrator[PipelineQuery, TweetCandidate, _] + ] = Seq(RetweetSourceTweetFeatureHydrator) + + override def filters: Seq[Filter[ScoredTweetsQuery, TweetCandidate]] = Seq( + RetweetSourceTweetRemovingFilter + ) + + override val postFilterFeatureHydration: Seq[ + BaseCandidateFeatureHydrator[PipelineQuery, TweetCandidate, _] + ] = Seq(replyFeatureHydrator) + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[t.CandidateTweet] + ] = Seq(ScoredTweetsInNetworkResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + t.CandidateTweet, + TweetCandidate + ] = { sourceResult => TweetCandidate(id = sourceResult.tweet.get.id) } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsUtegCandidatePipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsUtegCandidatePipelineConfig.scala new file mode 100644 index 000000000..b58ca784f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline/ScoredTweetsUtegCandidatePipelineConfig.scala @@ -0,0 +1,63 @@ +package com.twitter.home_mixer.product.scored_tweets.candidate_pipeline + +import com.twitter.home_mixer.functional_component.gate.MinCachedTweetsGate +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CachedScoredTweets +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.UtegSource +import com.twitter.home_mixer.product.scored_tweets.query_transformer.TimelineRankerUtegQueryTransformer +import com.twitter.home_mixer.product.scored_tweets.response_transformer.ScoredTweetsUtegResponseFeatureTransformer +import com.twitter.product_mixer.component_library.candidate_source.timeline_ranker.TimelineRankerUtegCandidateSource +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.functional_component.candidate_source.BaseCandidateSource +import com.twitter.product_mixer.core.functional_component.gate.Gate +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineResultsTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.candidate.CandidatePipelineConfig +import com.twitter.timelineranker.{thriftscala => t} +import com.twitter.timelines.configapi.decider.DeciderParam + +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Candidate Pipeline Config that fetches tweets from the Timeline Ranker UTEG Candidate Source + */ +@Singleton +class ScoredTweetsUtegCandidatePipelineConfig @Inject() ( + timelineRankerUtegCandidateSource: TimelineRankerUtegCandidateSource) + extends CandidatePipelineConfig[ + ScoredTweetsQuery, + t.UtegLikedByTweetsQuery, + t.CandidateTweet, + TweetCandidate + ] { + + override val identifier: CandidatePipelineIdentifier = + CandidatePipelineIdentifier("ScoredTweetsUteg") + + override val enabledDeciderParam: Option[DeciderParam[Boolean]] = + Some(UtegSource.EnableCandidatePipelineParam) + + override val gates: Seq[Gate[ScoredTweetsQuery]] = Seq( + MinCachedTweetsGate(identifier, CachedScoredTweets.MinCachedTweetsParam) + ) + + override val candidateSource: BaseCandidateSource[t.UtegLikedByTweetsQuery, t.CandidateTweet] = + timelineRankerUtegCandidateSource + + override val queryTransformer: CandidatePipelineQueryTransformer[ + ScoredTweetsQuery, + t.UtegLikedByTweetsQuery + ] = TimelineRankerUtegQueryTransformer(identifier) + + override val featuresFromCandidateSourceTransformers: Seq[ + CandidateFeatureTransformer[t.CandidateTweet] + ] = Seq(ScoredTweetsUtegResponseFeatureTransformer) + + override val resultTransformer: CandidatePipelineResultsTransformer[ + t.CandidateTweet, + TweetCandidate + ] = { sourceResult => TweetCandidate(id = sourceResult.tweet.get.id) } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_source/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_source/BUILD.bazel new file mode 100644 index 000000000..58fe8621d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_source/BUILD.bazel @@ -0,0 +1,12 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_source/CachedScoredTweetsCandidateSource.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_source/CachedScoredTweetsCandidateSource.scala new file mode 100644 index 000000000..15a522efa --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_source/CachedScoredTweetsCandidateSource.scala @@ -0,0 +1,24 @@ +package com.twitter.home_mixer.product.scored_tweets.candidate_source + +import com.twitter.home_mixer.util.CachedScoredTweetsHelper +import com.twitter.home_mixer.{thriftscala => hmt} +import com.twitter.product_mixer.core.functional_component.candidate_source.CandidateSource +import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class CachedScoredTweetsCandidateSource @Inject() () + extends CandidateSource[PipelineQuery, hmt.CachedScoredTweet] { + + override val identifier: CandidateSourceIdentifier = + CandidateSourceIdentifier("CachedScoredTweets") + + override def apply(request: PipelineQuery): Stitch[Seq[hmt.CachedScoredTweet]] = { + Stitch.value( + request.features.map(CachedScoredTweetsHelper.unseenCachedScoredTweets).getOrElse(Seq.empty)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/feature_hydrator/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/feature_hydrator/BUILD.bazel new file mode 100644 index 000000000..504826eed --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/feature_hydrator/BUILD.bazel @@ -0,0 +1,29 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/impressed_tweets", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/transformer", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/feature_hydrator", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", + "servo/repo/src/main/scala", + "servo/util/src/main/scala", + "src/thrift/com/twitter/timelineranker:thrift-scala", + "stitch/stitch-core", + "timelineranker/common/src/main/scala/com/twitter/timelineranker/model", + "timelines/src/main/scala/com/twitter/timelines/common/model", + "timelines/src/main/scala/com/twitter/timelines/earlybird/common/utils", + "timelines/src/main/scala/com/twitter/timelines/model/candidate", + "timelines/src/main/scala/com/twitter/timelines/model/types", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/feature_hydrator/CachedScoredTweetsQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/feature_hydrator/CachedScoredTweetsQueryFeatureHydrator.scala new file mode 100644 index 000000000..7801a9645 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/feature_hydrator/CachedScoredTweetsQueryFeatureHydrator.scala @@ -0,0 +1,51 @@ +package com.twitter.home_mixer.product.scored_tweets.feature_hydrator + +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CachedScoredTweets +import com.twitter.home_mixer.{thriftscala => hmt} +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.TtlCache +import com.twitter.stitch.Stitch +import com.twitter.timelines.model.UserId +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Time + +import javax.inject.Inject +import javax.inject.Singleton + +/** + * Fetch scored Tweets from cache and exclude the seen ones + */ +@Singleton +case class CachedScoredTweetsQueryFeatureHydrator @Inject() ( + scoredTweetsCache: TtlCache[UserId, hmt.CachedScoredTweets]) + extends QueryFeatureHydrator[PipelineQuery] { + + override val identifier: FeatureHydratorIdentifier = + FeatureHydratorIdentifier("CachedScoredTweets") + + override val features: Set[Feature[_, _]] = Set(CachedScoredTweetsFeature) + + override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { + val userId = query.getRequiredUserId + val tweetScoreTtl = query.params(CachedScoredTweets.TTLParam) + + Stitch.callFuture(scoredTweetsCache.get(Seq(userId))).map { keyValueResult => + keyValueResult(userId) match { + case Return(cachedCandidatesOpt) => + val cachedScoredTweets = cachedCandidatesOpt.map(_.tweets).getOrElse(Seq.empty) + val nonExpiredTweets = cachedScoredTweets.filter { tweet => + tweet.lastScoredTimestampMs.exists(Time.fromMilliseconds(_).untilNow < tweetScoreTtl) + } + FeatureMapBuilder().add(CachedScoredTweetsFeature, nonExpiredTweets).build() + case Throw(exception) => throw exception + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/BUILD.bazel new file mode 100644 index 000000000..db158c23f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/BUILD.bazel @@ -0,0 +1,19 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tweet_tlx", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/premarshaller", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/ScoredTweetsResponseDomainMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/ScoredTweetsResponseDomainMarshaller.scala new file mode 100644 index 000000000..3ba4b201b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/ScoredTweetsResponseDomainMarshaller.scala @@ -0,0 +1,64 @@ +package com.twitter.home_mixer.product.scored_tweets.marshaller + +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweet +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsResponse +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.functional_component.marshaller.response.urt.metadata.TopicContextFunctionalityTypeMarshaller +import com.twitter.product_mixer.core.functional_component.premarshaller.DomainMarshaller +import com.twitter.product_mixer.core.model.common.identifier.DomainMarshallerIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails + +/** + * Creates a domain model of the Scored Tweets product response from the set of candidates selected + */ +object ScoredTweetsResponseDomainMarshaller + extends DomainMarshaller[ScoredTweetsQuery, ScoredTweetsResponse] { + + override val identifier: DomainMarshallerIdentifier = + DomainMarshallerIdentifier("ScoredTweetsResponse") + + override def apply( + query: ScoredTweetsQuery, + selections: Seq[CandidateWithDetails] + ): ScoredTweetsResponse = ScoredTweetsResponse( + scoredTweets = selections.collect { + case ItemCandidateWithDetails(candidate: TweetCandidate, _, features) => + Seq(mkScoredTweet(candidate.id, features)) + case ModuleCandidateWithDetails(candidates, _, _) => + candidates.map { candidate => mkScoredTweet(candidate.candidateIdLong, candidate.features) } + }.flatten + ) + + private def mkScoredTweet(tweetId: Long, features: FeatureMap): ScoredTweet = { + val topicFunctionalityType = features + .getOrElse(TopicContextFunctionalityTypeFeature, None) + .map(TopicContextFunctionalityTypeMarshaller(_)) + + ScoredTweet( + tweetId = tweetId, + authorId = features.get(AuthorIdFeature).get, + score = features.get(ScoreFeature), + suggestType = features.get(SuggestTypeFeature).get, + sourceTweetId = features.getOrElse(SourceTweetIdFeature, None), + sourceUserId = features.getOrElse(SourceUserIdFeature, None), + quotedTweetId = features.getOrElse(QuotedTweetIdFeature, None), + quotedUserId = features.getOrElse(QuotedUserIdFeature, None), + inReplyToTweetId = features.getOrElse(InReplyToTweetIdFeature, None), + inReplyToUserId = features.getOrElse(InReplyToUserIdFeature, None), + directedAtUserId = features.getOrElse(DirectedAtUserIdFeature, None), + inNetwork = Some(features.getOrElse(InNetworkFeature, false)), + favoritedByUserIds = Some(features.getOrElse(FavoritedByUserIdsFeature, Seq.empty)), + followedByUserIds = Some(features.getOrElse(FollowedByUserIdsFeature, Seq.empty)), + topicId = features.getOrElse(TopicIdSocialContextFeature, None), + topicFunctionalityType = topicFunctionalityType, + ancestors = Some(features.getOrElse(AncestorsFeature, Seq.empty)), + isReadFromCache = Some(features.getOrElse(IsReadFromCacheFeature, false)), + streamToKafka = Some(features.getOrElse(StreamToKafkaFeature, false)) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/ScoredTweetsResponseTransportMarshaller.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/ScoredTweetsResponseTransportMarshaller.scala new file mode 100644 index 000000000..355f076fe --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/marshaller/ScoredTweetsResponseTransportMarshaller.scala @@ -0,0 +1,43 @@ +package com.twitter.home_mixer.product.scored_tweets.marshaller + +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsResponse +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.functional_component.marshaller.TransportMarshaller +import com.twitter.product_mixer.core.model.common.identifier.TransportMarshallerIdentifier + +/** + * Marshall the domain model into our transport (Thrift) model. + */ +object ScoredTweetsResponseTransportMarshaller + extends TransportMarshaller[ScoredTweetsResponse, t.ScoredTweetsResponse] { + + override val identifier: TransportMarshallerIdentifier = + TransportMarshallerIdentifier("ScoredTweetsResponse") + + override def apply(input: ScoredTweetsResponse): t.ScoredTweetsResponse = { + val scoredTweets = input.scoredTweets.map { tweet => + t.ScoredTweet( + tweetId = tweet.tweetId, + authorId = tweet.authorId, + score = tweet.score, + suggestType = Some(tweet.suggestType), + sourceTweetId = tweet.sourceTweetId, + sourceUserId = tweet.sourceUserId, + quotedTweetId = tweet.quotedTweetId, + quotedUserId = tweet.quotedUserId, + inReplyToTweetId = tweet.inReplyToTweetId, + inReplyToUserId = tweet.inReplyToUserId, + directedAtUserId = tweet.directedAtUserId, + inNetwork = tweet.inNetwork, + favoritedByUserIds = tweet.favoritedByUserIds, + followedByUserIds = tweet.followedByUserIds, + topicId = tweet.topicId, + topicFunctionalityType = tweet.topicFunctionalityType, + ancestors = tweet.ancestors, + isReadFromCache = tweet.isReadFromCache, + streamToKafka = tweet.streamToKafka + ) + } + t.ScoredTweetsResponse(scoredTweets) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/BUILD.bazel new file mode 100644 index 000000000..8fd8325cb --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/BUILD.bazel @@ -0,0 +1,23 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/quality_factor", + "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", + "src/thrift/com/twitter/timelineservice/server/internal:thrift-scala", + ], + exports = [ + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/cursor", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/query/ads", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/ScoredTweetsQuery.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/ScoredTweetsQuery.scala new file mode 100644 index 000000000..a2eb3a466 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/ScoredTweetsQuery.scala @@ -0,0 +1,39 @@ +package com.twitter.home_mixer.product.scored_tweets.model + +import com.twitter.home_mixer.model.request.DeviceContext +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.model.request.HasSeenTweetIds +import com.twitter.home_mixer.model.request.ScoredTweetsProduct +import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.marshalling.request._ +import com.twitter.product_mixer.core.pipeline.HasPipelineCursor +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.quality_factor.HasQualityFactorStatus +import com.twitter.product_mixer.core.quality_factor.QualityFactorStatus +import com.twitter.timelines.configapi.Params + +case class ScoredTweetsQuery( + override val params: Params, + override val clientContext: ClientContext, + override val pipelineCursor: Option[UrtOrderedCursor], + override val requestedMaxResults: Option[Int], + override val debugOptions: Option[DebugOptions], + override val features: Option[FeatureMap], + override val deviceContext: Option[DeviceContext], + override val seenTweetIds: Option[Seq[Long]], + override val qualityFactorStatus: Option[QualityFactorStatus]) + extends PipelineQuery + with HasPipelineCursor[UrtOrderedCursor] + with HasDeviceContext + with HasSeenTweetIds + with HasQualityFactorStatus { + override val product: Product = ScoredTweetsProduct + + override def withFeatureMap(features: FeatureMap): ScoredTweetsQuery = + copy(features = Some(features)) + + override def withQualityFactorStatus( + qualityFactorStatus: QualityFactorStatus + ): ScoredTweetsQuery = copy(qualityFactorStatus = Some(qualityFactorStatus)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/ScoredTweetsResponse.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/ScoredTweetsResponse.scala new file mode 100644 index 000000000..81cdc2211 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model/ScoredTweetsResponse.scala @@ -0,0 +1,29 @@ +package com.twitter.home_mixer.product.scored_tweets.model + +import com.twitter.product_mixer.core.model.marshalling.HasMarshalling +import com.twitter.timelineservice.suggests.{thriftscala => st} +import com.twitter.tweetconvosvc.tweet_ancestor.{thriftscala => ta} +import com.twitter.timelines.render.{thriftscala => urt} + +case class ScoredTweet( + tweetId: Long, + authorId: Long, + score: Option[Double], + suggestType: st.SuggestType, + sourceTweetId: Option[Long], + sourceUserId: Option[Long], + quotedTweetId: Option[Long], + quotedUserId: Option[Long], + inReplyToTweetId: Option[Long], + inReplyToUserId: Option[Long], + directedAtUserId: Option[Long], + inNetwork: Option[Boolean], + favoritedByUserIds: Option[Seq[Long]], + followedByUserIds: Option[Seq[Long]], + topicId: Option[Long], + topicFunctionalityType: Option[urt.TopicContextFunctionalityType], + ancestors: Option[Seq[ta.TweetAncestor]], + isReadFromCache: Option[Boolean], + streamToKafka: Option[Boolean]) + +case class ScoredTweetsResponse(scoredTweets: Seq[ScoredTweet]) extends HasMarshalling diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/BUILD.bazel new file mode 100644 index 000000000..d402ecc18 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/BUILD.bazel @@ -0,0 +1,15 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core/src/main/scala/com/twitter/timelines/configapi", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param/decider", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/timelineranker", + "util/util-core/src/main/scala/com/twitter/conversions", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/ScoredTweetsParam.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/ScoredTweetsParam.scala new file mode 100644 index 000000000..261be593a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/ScoredTweetsParam.scala @@ -0,0 +1,176 @@ +package com.twitter.home_mixer.product.scored_tweets.param + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.param.decider.DeciderKey +import com.twitter.timelines.configapi.DurationConversion +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.configapi.FSParam +import com.twitter.timelines.configapi.HasDurationConversion +import com.twitter.timelines.configapi.decider.BooleanDeciderParam +import com.twitter.util.Duration + +object ScoredTweetsParam { + val SupportedClientFSName = "scored_tweets_supported_client" + + object CrMixerSource { + object EnableCandidatePipelineParam + extends BooleanDeciderParam(DeciderKey.EnableScoredTweetsCrMixerCandidatePipeline) + } + + object FrsTweetSource { + object EnableCandidatePipelineParam + extends BooleanDeciderParam(DeciderKey.EnableScoredTweetsFrsCandidatePipeline) + } + + object InNetworkSource { + object EnableCandidatePipelineParam + extends BooleanDeciderParam(DeciderKey.EnableScoredTweetsInNetworkCandidatePipeline) + } + + object QualityFactor { + object MaxTweetsToScoreParam + extends FSBoundedParam[Int]( + name = "scored_tweets_quality_factor_max_tweets_to_score", + default = 1100, + min = 0, + max = 10000 + ) + + object CrMixerMaxTweetsToScoreParam + extends FSBoundedParam[Int]( + name = "scored_tweets_quality_factor_cr_mixer_max_tweets_to_score", + default = 500, + min = 0, + max = 10000 + ) + } + object ServerMaxResultsParam + extends FSBoundedParam[Int]( + name = "scored_tweets_server_max_results", + default = 120, + min = 1, + max = 500 + ) + object UtegSource { + object EnableCandidatePipelineParam + extends BooleanDeciderParam(DeciderKey.EnableScoredTweetsUtegCandidatePipeline) + } + + object CachedScoredTweets { + object TTLParam + extends FSBoundedParam[Duration]( + name = "scored_tweets_cached_scored_tweets_ttl_minutes", + default = 3.minutes, + min = 0.minute, + max = 60.minutes + ) + with HasDurationConversion { + override val durationConversion: DurationConversion = DurationConversion.FromMinutes + } + + object MinCachedTweetsParam + extends FSBoundedParam[Int]( + name = "scored_tweets_cached_scored_tweets_min_cached_tweets", + default = 30, + min = 0, + max = 1000 + ) + } + + object Scoring { + object HomeModelParam + extends FSParam[String](name = "scored_tweets_home_model", default = "Home") + + object ModelWeights { + + object FavParam + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_fav", + default = 1.0, + min = 0.0, + max = 100.0 + ) + + object RetweetParam + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_retweet", + default = 1.0, + min = 0.0, + max = 100.0 + ) + + object ReplyParam + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_reply", + default = 1.0, + min = 0.0, + max = 100.0 + ) + + object GoodProfileClickParam + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_good_profile_click", + default = 1.0, + min = 0.0, + max = 1000000.0 + ) + + object VideoPlayback50Param + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_video_playback50", + default = 1.0, + min = 0.0, + max = 100.0 + ) + + object ReplyEngagedByAuthorParam + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_reply_engaged_by_author", + default = 1.0, + min = 0.0, + max = 200.0 + ) + + object GoodClickParam + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_good_click", + default = 1.0, + min = 0.0, + max = 1000000.0 + ) + + object GoodClickV2Param + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_good_click_v2", + default = 1.0, + min = 0.0, + max = 1000000.0 + ) + + object NegativeFeedbackV2Param + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_negative_feedback_v2", + default = 1.0, + min = -1000.0, + max = 0.0 + ) + + object ReportParam + extends FSBoundedParam[Double]( + name = "scored_tweets_model_weight_report", + default = 1.0, + min = -20000.0, + max = 0.0 + ) + } + } + + object EnableSimClustersSimilarityFeatureHydrationDeciderParam + extends BooleanDeciderParam(decider = DeciderKey.EnableSimClustersSimilarityFeatureHydration) + + object CompetitorSetParam + extends FSParam[Set[Long]](name = "scored_tweets_competitor_list", default = Set.empty) + + object CompetitorURLSeqParam + extends FSParam[Seq[String]](name = "scored_tweets_competitor_url_list", default = Seq.empty) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/ScoredTweetsParamConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/ScoredTweetsParamConfig.scala new file mode 100644 index 000000000..ae82db20f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param/ScoredTweetsParamConfig.scala @@ -0,0 +1,59 @@ +package com.twitter.home_mixer.product.scored_tweets.param + +import com.twitter.home_mixer.param.decider.DeciderKey +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam._ +import com.twitter.product_mixer.core.product.ProductParamConfig +import com.twitter.servo.decider.DeciderKeyName + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ScoredTweetsParamConfig @Inject() () extends ProductParamConfig { + override val enabledDeciderKey: DeciderKeyName = DeciderKey.EnableScoredTweetsProduct + override val supportedClientFSName: String = SupportedClientFSName + + override val booleanDeciderOverrides = Seq( + CrMixerSource.EnableCandidatePipelineParam, + FrsTweetSource.EnableCandidatePipelineParam, + InNetworkSource.EnableCandidatePipelineParam, + UtegSource.EnableCandidatePipelineParam, + ScoredTweetsParam.EnableSimClustersSimilarityFeatureHydrationDeciderParam + ) + + override val boundedIntFSOverrides = Seq( + CachedScoredTweets.MinCachedTweetsParam, + QualityFactor.CrMixerMaxTweetsToScoreParam, + QualityFactor.MaxTweetsToScoreParam, + ServerMaxResultsParam + ) + + override val boundedDurationFSOverrides = Seq( + CachedScoredTweets.TTLParam + ) + + override val stringFSOverrides = Seq( + Scoring.HomeModelParam + ) + + override val boundedDoubleFSOverrides = Seq( + Scoring.ModelWeights.FavParam, + Scoring.ModelWeights.ReplyParam, + Scoring.ModelWeights.RetweetParam, + Scoring.ModelWeights.GoodClickParam, + Scoring.ModelWeights.GoodClickV2Param, + Scoring.ModelWeights.GoodProfileClickParam, + Scoring.ModelWeights.ReplyEngagedByAuthorParam, + Scoring.ModelWeights.VideoPlayback50Param, + Scoring.ModelWeights.ReportParam, + Scoring.ModelWeights.NegativeFeedbackV2Param, + ) + + override val longSetFSOverrides = Seq( + CompetitorSetParam, + ) + + override val stringSeqFSOverrides = Seq( + CompetitorURLSeqParam + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_feature_hydrator/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_feature_hydrator/BUILD.bazel new file mode 100644 index 000000000..154f84007 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_feature_hydrator/BUILD.bazel @@ -0,0 +1,18 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + dependencies = [ + "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/recommendations", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/pipeline/candidate/flexible_injection_pipeline/transformer", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "src/thrift/com/twitter/timelineranker:thrift-scala", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/timelineranker", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_feature_hydrator/FrsSeedUsersQueryFeatureHydrator.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_feature_hydrator/FrsSeedUsersQueryFeatureHydrator.scala new file mode 100644 index 000000000..194146dac --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_feature_hydrator/FrsSeedUsersQueryFeatureHydrator.scala @@ -0,0 +1,64 @@ +package com.twitter.home_mixer.product.scored_tweets.query_feature_hydrator + +import com.twitter.follow_recommendations.{thriftscala => frs} +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.product_mixer.component_library.candidate_source.recommendations.UserFollowRecommendationsCandidateSource +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.candidate_source.strato.StratoKeyView +import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator +import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +object FrsSeedUserIdsFeature extends Feature[TweetCandidate, Option[Seq[Long]]] +object FrsUserToFollowedByUserIdsFeature extends Feature[TweetCandidate, Map[Long, Seq[Long]]] + +@Singleton +case class FrsSeedUsersQueryFeatureHydrator @Inject() ( + userFollowRecommendationsCandidateSource: UserFollowRecommendationsCandidateSource) + extends QueryFeatureHydrator[ScoredTweetsQuery] { + + private val maxUsersToFetch = 100 + + override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("FrsSeedUsers") + + override def features: Set[Feature[_, _]] = Set( + FrsSeedUserIdsFeature, + FrsUserToFollowedByUserIdsFeature + ) + + override def hydrate(query: ScoredTweetsQuery): Stitch[FeatureMap] = { + val frsRequest = frs.RecommendationRequest( + clientContext = frs.ClientContext(query.getOptionalUserId), + displayLocation = frs.DisplayLocation.HomeTimelineTweetRecs, + maxResults = Some(maxUsersToFetch) + ) + + userFollowRecommendationsCandidateSource(StratoKeyView(frsRequest, Unit)) + .map { userRecommendations: Seq[frs.UserRecommendation] => + val seedUserIds = userRecommendations.map(_.userId) + val seedUserIdsSet = seedUserIds.toSet + + val userToFollowedByUserIds: Map[Long, Seq[Long]] = userRecommendations.flatMap { + userRecommendation => + if (seedUserIdsSet.contains(userRecommendation.userId)) { + val followProof = + userRecommendation.reason.flatMap(_.accountProof).flatMap(_.followProof) + val followedByUserIds = followProof.map(_.userIds).getOrElse(Seq.empty) + Some(userRecommendation.userId -> followedByUserIds) + } else { + None + } + }.toMap + + FeatureMapBuilder() + .add(FrsSeedUserIdsFeature, Some(seedUserIds)) + .add(FrsUserToFollowedByUserIdsFeature, userToFollowedByUserIds) + .build() + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/BUILD.bazel new file mode 100644 index 000000000..a7db4784b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/BUILD.bazel @@ -0,0 +1,24 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/thrift/com/twitter/timelineranker:thrift-scala", + "timelinemixer/common/src/main/scala/com/twitter/timelinemixer/clients/timelineranker", + "timelineranker/common/src/main/scala/com/twitter/timelineranker/model", + "timelines:util", + "timelines/src/main/scala/com/twitter/timelines/common/model", + "timelines/src/main/scala/com/twitter/timelines/earlybird/common/options", + "timelines/src/main/scala/com/twitter/timelines/earlybird/common/utils", + "timelines/src/main/scala/com/twitter/timelines/model/candidate", + "timelineservice/common:model", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerFrsQueryTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerFrsQueryTransformer.scala new file mode 100644 index 000000000..e141d1ee7 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerFrsQueryTransformer.scala @@ -0,0 +1,43 @@ +package com.twitter.home_mixer.product.scored_tweets.query_transformer + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.product.scored_tweets.query_feature_hydrator.FrsSeedUserIdsFeature +import com.twitter.home_mixer.product.scored_tweets.query_transformer.TimelineRankerFrsQueryTransformer._ +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.quality_factor.HasQualityFactorStatus +import com.twitter.timelineranker.{thriftscala => t} +import com.twitter.timelines.common.model.TweetKindOption +import com.twitter.timelines.model.candidate.CandidateTweetSourceId +import com.twitter.util.Duration + +object TimelineRankerFrsQueryTransformer { + private val SinceDuration = 24.hours + private val MaxTweetsToFetch = 100 + + private val tweetKindOptions: TweetKindOption.ValueSet = + TweetKindOption(includeOriginalTweetsAndQuotes = true) +} + +case class TimelineRankerFrsQueryTransformer[ + Query <: PipelineQuery with HasQualityFactorStatus with HasDeviceContext +]( + override val candidatePipelineIdentifier: CandidatePipelineIdentifier, + override val maxTweetsToFetch: Int = MaxTweetsToFetch, + override val sinceDuration: Duration = SinceDuration) + extends CandidatePipelineQueryTransformer[Query, t.RecapQuery] + with TimelineRankerQueryTransformer[Query] { + + override val candidateTweetSourceId = CandidateTweetSourceId.FrsTweet + override val skipVeryRecentTweets = false + override val options = tweetKindOptions + + override def seedAuthorIds(query: Query): Option[Seq[Long]] = { + query.features.flatMap(_.getOrElse(FrsSeedUserIdsFeature, None)) + } + + override def transform(input: Query): t.RecapQuery = + buildTimelineRankerQuery(input).toThriftRecapQuery +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerInNetworkQueryTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerInNetworkQueryTransformer.scala new file mode 100644 index 000000000..bec8f74f2 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerInNetworkQueryTransformer.scala @@ -0,0 +1,42 @@ +package com.twitter.home_mixer.product.scored_tweets.query_transformer + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.product.scored_tweets.query_transformer.TimelineRankerInNetworkQueryTransformer._ +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.quality_factor.HasQualityFactorStatus +import com.twitter.timelineranker.{thriftscala => t} +import com.twitter.timelines.common.model.TweetKindOption +import com.twitter.timelines.model.candidate.CandidateTweetSourceId +import com.twitter.util.Duration + +object TimelineRankerInNetworkQueryTransformer { + private val SinceDuration = 24.hours + private val MaxTweetsToFetch = 500 + + private val tweetKindOptions: TweetKindOption.ValueSet = TweetKindOption( + includeReplies = true, + includeRetweets = true, + includeOriginalTweetsAndQuotes = true, + includeExtendedReplies = true + ) +} + +case class TimelineRankerInNetworkQueryTransformer[ + Query <: PipelineQuery with HasQualityFactorStatus with HasDeviceContext +]( + override val candidatePipelineIdentifier: CandidatePipelineIdentifier, + override val maxTweetsToFetch: Int = MaxTweetsToFetch, + override val sinceDuration: Duration = SinceDuration) + extends CandidatePipelineQueryTransformer[Query, t.RecapQuery] + with TimelineRankerQueryTransformer[Query] { + + override val candidateTweetSourceId = CandidateTweetSourceId.RecycledTweet + override val skipVeryRecentTweets = false + override val options = tweetKindOptions + + override def transform(input: Query): t.RecapQuery = + buildTimelineRankerQuery(input).toThriftRecapQuery +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerQueryTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerQueryTransformer.scala new file mode 100644 index 000000000..d5b29974b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerQueryTransformer.scala @@ -0,0 +1,109 @@ +package com.twitter.home_mixer.product.scored_tweets.query_transformer + +import com.twitter.home_mixer.model.HomeFeatures.RealGraphInNetworkScoresFeature +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.product.scored_tweets.query_transformer.TimelineRankerQueryTransformer._ +import com.twitter.home_mixer.util.CachedScoredTweetsHelper +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.quality_factor.HasQualityFactorStatus +import com.twitter.timelinemixer.clients.timelineranker.EarlybirdScoringModels +import com.twitter.timelinemixer.clients.timelineranker.EarlybirdScoringModelsId +import com.twitter.timelineranker.{model => tlr} +import com.twitter.timelines.common.model.TweetKindOption +import com.twitter.timelines.earlybird.common.options.EarlybirdOptions +import com.twitter.timelines.earlybird.common.options.EarlybirdScoringModelConfig +import com.twitter.timelines.earlybird.common.utils.SearchOperator +import com.twitter.timelines.model.UserId +import com.twitter.timelines.model.candidate.CandidateTweetSourceId +import com.twitter.timelines.util.SnowflakeSortIndexHelper +import com.twitter.util.Duration +import com.twitter.util.Time + +object TimelineRankerQueryTransformer { + + /** + * Specifies the maximum number of excluded tweet ids to include in the search index query. + * Earlybird's named multi term disjunction map feature supports up to 1500 tweet ids. + */ + private val EarlybirdMaxExcludedTweets = 1500 + + /** + * Maximum number of query hits each earlybird shard is allowed to accumulate before + * early-terminating the query and reducing the hits to MaxNumEarlybirdResults. + */ + private val EarlybirdMaxHits = 1000 + + /** + * Maximum number of results TLR should retrieve from each earlybird shard. + */ + private val EarlybirdMaxResults = 200 +} + +trait TimelineRankerQueryTransformer[ + Query <: PipelineQuery with HasQualityFactorStatus with HasDeviceContext] { + def maxTweetsToFetch: Int + def sinceDuration: Duration + def options: TweetKindOption.ValueSet = TweetKindOption.Default + def candidateTweetSourceId: CandidateTweetSourceId.Value + def skipVeryRecentTweets: Boolean + def utegLikedByTweetsOptions(query: Query): Option[tlr.UtegLikedByTweetsOptions] = None + def seedAuthorIds(query: Query): Option[Seq[Long]] = None + def candidatePipelineIdentifier: CandidatePipelineIdentifier + def earlybirdModels: Seq[EarlybirdScoringModelConfig] = + EarlybirdScoringModels.fromEnum(EarlybirdScoringModelsId.UnifiedEngagementProd) + def tensorflowModel: Option[String] = None + + def buildTimelineRankerQuery(query: Query): tlr.RecapQuery = { + val sinceTime: Time = sinceDuration.ago + val untilTime: Time = Time.now + + val fromTweetIdExclusive = SnowflakeSortIndexHelper.timestampToFakeId(sinceTime) + val toTweetIdExclusive = SnowflakeSortIndexHelper.timestampToFakeId(untilTime) + val range = tlr.TweetIdRange(Some(fromTweetIdExclusive), Some(toTweetIdExclusive)) + + val excludedTweetIds = query.features.map { featureMap => + CachedScoredTweetsHelper.tweetImpressionsAndCachedScoredTweetsInRange( + featureMap, + candidatePipelineIdentifier, + EarlybirdMaxExcludedTweets, + sinceTime, + untilTime) + } + + val maxCount = + (query.getQualityFactorCurrentValue(candidatePipelineIdentifier) * maxTweetsToFetch).toInt + + val authorScoreMap = query.features + .map(_.getOrElse(RealGraphInNetworkScoresFeature, Map.empty[UserId, Double])) + .getOrElse(Map.empty) + + val deviceContext = + query.deviceContext.map(_.toTimelineServiceDeviceContext(query.clientContext)) + + val earlyBirdOptions = EarlybirdOptions( + maxNumHitsPerShard = EarlybirdMaxHits, + maxNumResultsPerShard = EarlybirdMaxResults, + models = earlybirdModels, + authorScoreMap = authorScoreMap, + skipVeryRecentTweets = skipVeryRecentTweets, + tensorflowModel = tensorflowModel + ) + + tlr.RecapQuery( + userId = query.getRequiredUserId, + maxCount = Some(maxCount), + range = Some(range), + options = options, + searchOperator = SearchOperator.Exclude, + earlybirdOptions = Some(earlyBirdOptions), + deviceContext = deviceContext, + authorIds = seedAuthorIds(query), + excludedTweetIds = excludedTweetIds, + utegLikedByTweetsOptions = utegLikedByTweetsOptions(query), + searchClientSubId = None, + candidateTweetSourceId = Some(candidateTweetSourceId), + hydratesContentFeatures = Some(false) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerUtegQueryTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerUtegQueryTransformer.scala new file mode 100644 index 000000000..03a63acf9 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/query_transformer/TimelineRankerUtegQueryTransformer.scala @@ -0,0 +1,59 @@ +package com.twitter.home_mixer.product.scored_tweets.query_transformer + +import com.twitter.conversions.DurationOps._ +import com.twitter.home_mixer.model.HomeFeatures.RealGraphInNetworkScoresFeature +import com.twitter.home_mixer.model.request.HasDeviceContext +import com.twitter.home_mixer.product.scored_tweets.query_transformer.TimelineRankerUtegQueryTransformer._ +import com.twitter.product_mixer.core.functional_component.transformer.CandidatePipelineQueryTransformer +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.quality_factor.HasQualityFactorStatus +import com.twitter.timelinemixer.clients.timelineranker.EarlybirdScoringModels +import com.twitter.timelinemixer.clients.timelineranker.EarlybirdScoringModelsId +import com.twitter.timelineranker.{model => tlr} +import com.twitter.timelineranker.{thriftscala => t} +import com.twitter.timelines.common.model.TweetKindOption +import com.twitter.timelines.model.UserId +import com.twitter.timelines.model.candidate.CandidateTweetSourceId +import com.twitter.util.Duration + +object TimelineRankerUtegQueryTransformer { + private val SinceDuration = 24.hours + private val MaxTweetsToFetch = 500 + private val MaxUtegCandidates = 800 + + private val TensorflowModel = "timelines_rectweet_replica" + + private val tweetKindOptions = TweetKindOption(includeReplies = true) + + def utegEarlybirdModels = + EarlybirdScoringModels.fromEnum(EarlybirdScoringModelsId.UnifiedEngagementRectweet) +} + +case class TimelineRankerUtegQueryTransformer[ + Query <: PipelineQuery with HasQualityFactorStatus with HasDeviceContext +]( + override val candidatePipelineIdentifier: CandidatePipelineIdentifier, + override val maxTweetsToFetch: Int = MaxTweetsToFetch, + override val sinceDuration: Duration = SinceDuration) + extends CandidatePipelineQueryTransformer[Query, t.UtegLikedByTweetsQuery] + with TimelineRankerQueryTransformer[Query] { + + override val candidateTweetSourceId = CandidateTweetSourceId.RecommendedTweet + override val skipVeryRecentTweets = true + override val earlybirdModels = utegEarlybirdModels + override val tensorflowModel = Some(TensorflowModel) + + override def utegLikedByTweetsOptions(input: Query): Option[tlr.UtegLikedByTweetsOptions] = Some( + tlr.UtegLikedByTweetsOptions( + utegCount = MaxUtegCandidates, + isInNetwork = false, + weightedFollowings = input.features + .map(_.getOrElse(RealGraphInNetworkScoresFeature, Map.empty[UserId, Double])) + .getOrElse(Map.empty) + ) + ) + + override def transform(input: Query): t.UtegLikedByTweetsQuery = + buildTimelineRankerQuery(input).toThriftUtegLikedByTweetsQuery +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/BUILD.bazel new file mode 100644 index 000000000..32f150c38 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/BUILD.bazel @@ -0,0 +1,18 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + dependencies = [ + "cr-mixer/thrift/src/main/thrift:thrift-scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/marshaller/timelines", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/transformer", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "src/thrift/com/twitter/timelineranker:thrift-scala", + "topic-social-proof/server/src/main/thrift:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/CachedScoredTweetsResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/CachedScoredTweetsResponseFeatureTransformer.scala new file mode 100644 index 000000000..9822a5331 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/CachedScoredTweetsResponseFeatureTransformer.scala @@ -0,0 +1,94 @@ +package com.twitter.home_mixer.product.scored_tweets.response_transformer + +import com.twitter.home_mixer.marshaller.timelines.TopicContextFunctionalityTypeUnmarshaller +import com.twitter.home_mixer.model.HomeFeatures.AncestorsFeature +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.AuthorIsBlueVerifiedFeature +import com.twitter.home_mixer.model.HomeFeatures.CachedCandidatePipelineIdentifierFeature +import com.twitter.home_mixer.model.HomeFeatures.DirectedAtUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FavoritedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.FollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsReadFromCacheFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.LastScoredTimestampMsFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicContextFunctionalityTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.home_mixer.model.HomeFeatures.TweetUrlsFeature +import com.twitter.home_mixer.model.HomeFeatures.WeightedModelScoreFeature +import com.twitter.home_mixer.{thriftscala => hmt} +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier + +object CachedScoredTweetsResponseFeatureTransformer + extends CandidateFeatureTransformer[hmt.CachedScoredTweet] { + + override val identifier: TransformerIdentifier = + TransformerIdentifier("CachedScoredTweetsResponse") + + override val features: Set[Feature[_, _]] = Set( + AncestorsFeature, + AuthorIdFeature, + AuthorIsBlueVerifiedFeature, + CachedCandidatePipelineIdentifierFeature, + DirectedAtUserIdFeature, + FavoritedByUserIdsFeature, + FollowedByUserIdsFeature, + InNetworkFeature, + InReplyToTweetIdFeature, + InReplyToUserIdFeature, + IsReadFromCacheFeature, + IsRetweetFeature, + LastScoredTimestampMsFeature, + QuotedTweetIdFeature, + QuotedUserIdFeature, + ScoreFeature, + SourceTweetIdFeature, + SourceUserIdFeature, + SuggestTypeFeature, + TopicContextFunctionalityTypeFeature, + TopicIdSocialContextFeature, + TweetUrlsFeature, + WeightedModelScoreFeature + ) + + override def transform(candidate: hmt.CachedScoredTweet): FeatureMap = + FeatureMapBuilder() + .add(AncestorsFeature, candidate.ancestors.getOrElse(Seq.empty)) + .add(AuthorIdFeature, candidate.userId) + .add(AuthorIsBlueVerifiedFeature, candidate.authorIsBlueVerified.getOrElse(false)) + .add(CachedCandidatePipelineIdentifierFeature, candidate.candidatePipelineIdentifier) + .add(DirectedAtUserIdFeature, candidate.directedAtUserId) + .add(FavoritedByUserIdsFeature, candidate.favoritedByUserIds.getOrElse(Seq.empty)) + .add(FollowedByUserIdsFeature, candidate.followedByUserIds.getOrElse(Seq.empty)) + .add(InNetworkFeature, candidate.isInNetwork.getOrElse(false)) + .add(InReplyToTweetIdFeature, candidate.inReplyToTweetId) + .add(InReplyToUserIdFeature, candidate.inReplyToUserId) + .add(IsReadFromCacheFeature, true) + .add(IsRetweetFeature, candidate.isRetweet.getOrElse(false)) + .add(LastScoredTimestampMsFeature, candidate.lastScoredTimestampMs) + .add(QuotedTweetIdFeature, candidate.quotedTweetId) + .add(QuotedUserIdFeature, candidate.quotedUserId) + .add(ScoreFeature, candidate.score) + .add(SourceTweetIdFeature, candidate.sourceTweetId) + .add(SourceUserIdFeature, candidate.sourceUserId) + .add(SuggestTypeFeature, candidate.suggestType) + .add( + TopicContextFunctionalityTypeFeature, + candidate.topicFunctionalityType.map(TopicContextFunctionalityTypeUnmarshaller(_))) + .add(TopicIdSocialContextFeature, candidate.topicId) + .add(TweetUrlsFeature, candidate.urlsList.getOrElse(Seq.empty)) + .add(WeightedModelScoreFeature, candidate.score) + .build() +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsCrMixerResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsCrMixerResponseFeatureTransformer.scala new file mode 100644 index 000000000..96aef36b6 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsCrMixerResponseFeatureTransformer.scala @@ -0,0 +1,65 @@ +package com.twitter.home_mixer.product.scored_tweets.response_transformer + +import com.twitter.cr_mixer.{thriftscala => crm} +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FromInNetworkSourceFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRandomTweetFeature +import com.twitter.home_mixer.model.HomeFeatures.StreamToKafkaFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TSPMetricTagFeature +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.timelineservice.suggests.logging.candidate_tweet_source_id.{thriftscala => cts} +import com.twitter.timelineservice.suggests.{thriftscala => st} +import com.twitter.tsp.{thriftscala => tsp} + +object ScoredTweetsCrMixerResponseFeatureTransformer + extends CandidateFeatureTransformer[crm.TweetRecommendation] { + + override val identifier: TransformerIdentifier = + TransformerIdentifier("ScoredTweetsCrMixerResponse") + + override val features: Set[Feature[_, _]] = Set( + AuthorIdFeature, + CandidateSourceIdFeature, + FromInNetworkSourceFeature, + IsRandomTweetFeature, + StreamToKafkaFeature, + SuggestTypeFeature, + TSPMetricTagFeature + ) + + override def transform(candidate: crm.TweetRecommendation): FeatureMap = { + val crMixerMetricTags = candidate.metricTags.getOrElse(Seq.empty) + val tspMetricTag = crMixerMetricTags + .map(CrMixerMetricTagToTspMetricTag) + .filter(_.nonEmpty).map(_.get).toSet + + FeatureMapBuilder() + .add(AuthorIdFeature, candidate.authorId) + .add(CandidateSourceIdFeature, Some(cts.CandidateTweetSourceId.Simcluster)) + .add(FromInNetworkSourceFeature, false) + .add(IsRandomTweetFeature, false) + .add(StreamToKafkaFeature, true) + .add(SuggestTypeFeature, Some(st.SuggestType.ScTweet)) + .add(TSPMetricTagFeature, tspMetricTag) + .build() + } + + private def CrMixerMetricTagToTspMetricTag( + crMixerMetricTag: crm.MetricTag + ): Option[tsp.MetricTag] = crMixerMetricTag match { + case crm.MetricTag.TweetFavorite => Some(tsp.MetricTag.TweetFavorite) + case crm.MetricTag.Retweet => Some(tsp.MetricTag.Retweet) + case crm.MetricTag.UserFollow => Some(tsp.MetricTag.UserFollow) + case crm.MetricTag.PushOpenOrNtabClick => Some(tsp.MetricTag.PushOpenOrNtabClick) + case crm.MetricTag.UserInterestedIn => Some(tsp.MetricTag.UserInterestedIn) + case crm.MetricTag.HomeTweetClick => Some(tsp.MetricTag.HomeTweetClick) + case crm.MetricTag.HomeVideoView => Some(tsp.MetricTag.HomeVideoView) + case _ => None + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsFrsResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsFrsResponseFeatureTransformer.scala new file mode 100644 index 000000000..077dccf24 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsFrsResponseFeatureTransformer.scala @@ -0,0 +1,31 @@ +package com.twitter.home_mixer.product.scored_tweets.response_transformer + +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.timelineranker.{thriftscala => tlr} +import com.twitter.timelineservice.suggests.logging.candidate_tweet_source_id.{thriftscala => cts} +import com.twitter.timelineservice.suggests.{thriftscala => st} + +object ScoredTweetsFrsResponseFeatureTransformer + extends CandidateFeatureTransformer[tlr.CandidateTweet] { + + override val identifier: TransformerIdentifier = TransformerIdentifier("ScoredTweetsFrsResponse") + + override val features: Set[Feature[_, _]] = TimelineRankerResponseTransformer.features + + override def transform(candidate: tlr.CandidateTweet): FeatureMap = { + val baseFeatures = TimelineRankerResponseTransformer.transform(candidate) + + val features = FeatureMapBuilder() + .add(CandidateSourceIdFeature, Some(cts.CandidateTweetSourceId.FrsTweet)) + .add(SuggestTypeFeature, Some(st.SuggestType.FrsTweet)) + .build() + + baseFeatures ++ features + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsInNetworkResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsInNetworkResponseFeatureTransformer.scala new file mode 100644 index 000000000..ada45d3e1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsInNetworkResponseFeatureTransformer.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.product.scored_tweets.response_transformer + +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FromInNetworkSourceFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.timelineranker.{thriftscala => tlr} +import com.twitter.timelineservice.suggests.logging.candidate_tweet_source_id.{thriftscala => cts} +import com.twitter.timelineservice.suggests.{thriftscala => st} + +object ScoredTweetsInNetworkResponseFeatureTransformer + extends CandidateFeatureTransformer[tlr.CandidateTweet] { + + override val identifier: TransformerIdentifier = + TransformerIdentifier("ScoredTweetsInNetworkResponse") + + override val features: Set[Feature[_, _]] = TimelineRankerResponseTransformer.features + + override def transform(candidate: tlr.CandidateTweet): FeatureMap = { + val baseFeatures = TimelineRankerResponseTransformer.transform(candidate) + + val features = FeatureMapBuilder() + .add(CandidateSourceIdFeature, Some(cts.CandidateTweetSourceId.RecycledTweet)) + .add(FromInNetworkSourceFeature, true) + .add(SuggestTypeFeature, Some(st.SuggestType.RecycledTweetInline)) + .build() + + baseFeatures ++ features + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsUtegResponseFeatureTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsUtegResponseFeatureTransformer.scala new file mode 100644 index 000000000..e7bd61b2b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/ScoredTweetsUtegResponseFeatureTransformer.scala @@ -0,0 +1,31 @@ +package com.twitter.home_mixer.product.scored_tweets.response_transformer + +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.transformer.CandidateFeatureTransformer +import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier +import com.twitter.timelineranker.{thriftscala => tlr} +import com.twitter.timelineservice.suggests.logging.candidate_tweet_source_id.{thriftscala => cts} +import com.twitter.timelineservice.suggests.{thriftscala => st} + +object ScoredTweetsUtegResponseFeatureTransformer + extends CandidateFeatureTransformer[tlr.CandidateTweet] { + + override val identifier: TransformerIdentifier = TransformerIdentifier("ScoredTweetsUtegResponse") + + override val features: Set[Feature[_, _]] = TimelineRankerResponseTransformer.features + + override def transform(candidate: tlr.CandidateTweet): FeatureMap = { + val baseFeatures = TimelineRankerResponseTransformer.transform(candidate) + + val features = FeatureMapBuilder() + .add(CandidateSourceIdFeature, Some(cts.CandidateTweetSourceId.RecommendedTweet)) + .add(SuggestTypeFeature, Some(st.SuggestType.ActivityTweet)) + .build() + + baseFeatures ++ features + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/TimelineRankerResponseTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/TimelineRankerResponseTransformer.scala new file mode 100644 index 000000000..e431ef6f4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/response_transformer/TimelineRankerResponseTransformer.scala @@ -0,0 +1,91 @@ +package com.twitter.home_mixer.product.scored_tweets.response_transformer + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.CandidateSourceIdFeature +import com.twitter.home_mixer.model.HomeFeatures.DirectedAtUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.EarlybirdFeature +import com.twitter.home_mixer.model.HomeFeatures.EarlybirdScoreFeature +import com.twitter.home_mixer.model.HomeFeatures.FromInNetworkSourceFeature +import com.twitter.home_mixer.model.HomeFeatures.HasImageFeature +import com.twitter.home_mixer.model.HomeFeatures.HasVideoFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRandomTweetFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.MentionScreenNameFeature +import com.twitter.home_mixer.model.HomeFeatures.MentionUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SemanticAnnotationFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.StreamToKafkaFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TweetUrlsFeature +import com.twitter.home_mixer.util.tweetypie.content.TweetMediaFeaturesExtractor +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.timelineranker.{thriftscala => tlr} + +object TimelineRankerResponseTransformer { + + val features: Set[Feature[_, _]] = Set( + AuthorIdFeature, + CandidateSourceIdFeature, + DirectedAtUserIdFeature, + EarlybirdFeature, + EarlybirdScoreFeature, + FromInNetworkSourceFeature, + HasImageFeature, + HasVideoFeature, + InReplyToTweetIdFeature, + InReplyToUserIdFeature, + IsRandomTweetFeature, + IsRetweetFeature, + MentionScreenNameFeature, + MentionUserIdFeature, + SemanticAnnotationFeature, + StreamToKafkaFeature, + QuotedTweetIdFeature, + QuotedUserIdFeature, + SourceTweetIdFeature, + SourceUserIdFeature, + SuggestTypeFeature, + TweetUrlsFeature + ) + + def transform(candidate: tlr.CandidateTweet): FeatureMap = { + val tweet = candidate.tweet + val quotedTweet = tweet.flatMap(_.quotedTweet) + val mentions = tweet.flatMap(_.mentions).getOrElse(Seq.empty) + val coreData = tweet.flatMap(_.coreData) + val share = coreData.flatMap(_.share) + val reply = coreData.flatMap(_.reply) + val semanticAnnotations = + tweet.flatMap(_.escherbirdEntityAnnotations.map(_.entityAnnotations)).getOrElse(Seq.empty) + + FeatureMapBuilder() + .add(AuthorIdFeature, coreData.map(_.userId)) + .add(DirectedAtUserIdFeature, coreData.flatMap(_.directedAtUser.map(_.userId))) + .add(EarlybirdFeature, candidate.features) + .add(EarlybirdScoreFeature, candidate.features.map(_.earlybirdScore)) + .add(FromInNetworkSourceFeature, false) + .add(HasImageFeature, tweet.exists(TweetMediaFeaturesExtractor.hasImage)) + .add(HasVideoFeature, tweet.exists(TweetMediaFeaturesExtractor.hasVideo)) + .add(InReplyToTweetIdFeature, reply.flatMap(_.inReplyToStatusId)) + .add(InReplyToUserIdFeature, reply.map(_.inReplyToUserId)) + .add(IsRandomTweetFeature, candidate.features.exists(_.isRandomTweet.getOrElse(false))) + .add(IsRetweetFeature, share.isDefined) + .add(MentionScreenNameFeature, mentions.map(_.screenName)) + .add(MentionUserIdFeature, mentions.flatMap(_.userId)) + .add(SemanticAnnotationFeature, semanticAnnotations) + .add(StreamToKafkaFeature, true) + .add(QuotedTweetIdFeature, quotedTweet.map(_.tweetId)) + .add(QuotedUserIdFeature, quotedTweet.map(_.userId)) + .add(SourceTweetIdFeature, share.map(_.sourceStatusId)) + .add(SourceUserIdFeature, share.map(_.sourceUserId)) + .add(TweetUrlsFeature, candidate.features.flatMap(_.urlsList).getOrElse(Seq.empty)) + .build() + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/BUILD.bazel new file mode 100644 index 000000000..6fcaddf0f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/BUILD.bazel @@ -0,0 +1,22 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + dependencies = [ + "3rdparty/jvm/io/opil:tensorflow-serving-client", + "cortex-deepbird/thrift/src/main/thrift:thrift-java", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/module", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/common", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/util", + "src/scala/com/twitter/timelines/prediction/features/recap", + "src/thrift/com/twitter/timelinescorer:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/DiversityDiscountProvider.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/DiversityDiscountProvider.scala new file mode 100644 index 000000000..aa292e89a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/DiversityDiscountProvider.scala @@ -0,0 +1,30 @@ +package com.twitter.home_mixer.product.scored_tweets.scorer + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures + +trait DiversityDiscountProvider { + + def entityId(candidate: CandidateWithFeatures[TweetCandidate]): Option[Long] + + /** + * Compute the discounted score for the position + * @param score the previous score for the candidate + * @param position zero-based position for the candidate for the given entity + * @return the discounted score for the candidate + */ + def discount(score: Double, position: Int): Double +} + +object AuthorDiversityDiscountProvider extends DiversityDiscountProvider { + private val Decay = 0.5 + private val Floor = 0.25 + + override def entityId(candidate: CandidateWithFeatures[TweetCandidate]): Option[Long] = + candidate.features.getOrElse(AuthorIdFeature, None) + + // Provides an exponential decay based discount by position (with a floor) + override def discount(score: Double, position: Int): Double = + score * ((1 - Floor) * Math.pow(Decay, position) + Floor) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/DiversityScorer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/DiversityScorer.scala new file mode 100644 index 000000000..758467717 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/DiversityScorer.scala @@ -0,0 +1,57 @@ +package com.twitter.home_mixer.product.scored_tweets.scorer + +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.ScorerIdentifier +import com.twitter.stitch.Stitch + +/** + * Discounts scores of each consecutive tweet (ordered by score desc) from the + * same entity (e.g. author, engager, topic) based on the discount factor provided + */ + +case class DiversityScorer(diversityDiscountProvider: DiversityDiscountProvider) + extends Scorer[ScoredTweetsQuery, TweetCandidate] { + + override val identifier: ScorerIdentifier = ScorerIdentifier("Diversity") + + override val features: Set[Feature[_, _]] = Set(ScoreFeature) + + override def apply( + query: ScoredTweetsQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val candidateIdScoreMap = candidates + .groupBy(diversityDiscountProvider.entityId) + .flatMap { + case (entityIdOpt, entityCandidates) => + val candidateScores = entityCandidates + .map { candidate => + val score = candidate.features.getOrElse(ScoreFeature, None).getOrElse(0.0) + (candidate.candidate.id, score) + }.sortBy(_._2)(Ordering.Double.reverse) + + if (entityIdOpt.isDefined) { + candidateScores.zipWithIndex.map { + case ((candidateId, score), index) => + candidateId -> diversityDiscountProvider.discount(score, index) + } + } else candidateScores + } + + Stitch.value { + candidates.map { candidate => + val score = candidateIdScoreMap.getOrElse(candidate.candidate.id, 0.0) + FeatureMapBuilder() + .add(ScoreFeature, Some(score)) + .build() + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/HomeNaviModelDataRecordScorer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/HomeNaviModelDataRecordScorer.scala new file mode 100644 index 000000000..23bf07da6 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/HomeNaviModelDataRecordScorer.scala @@ -0,0 +1,233 @@ +package com.twitter.home_mixer.product.scored_tweets.scorer + +import com.twitter.dal.personal_data.{thriftjava => pd} +import com.twitter.finagle.stats.Stat +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.Scoring.ModelWeights +import com.twitter.ml.api.DataRecord +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure +import com.twitter.product_mixer.core.feature.datarecord.BaseDataRecordFeature +import com.twitter.product_mixer.core.feature.datarecord.DataRecordInAFeature +import com.twitter.product_mixer.core.feature.datarecord.DataRecordOptionalFeature +import com.twitter.product_mixer.core.feature.datarecord.DoubleDataRecordCompatible +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.datarecord.AllFeatures +import com.twitter.product_mixer.core.feature.featuremap.datarecord.DataRecordConverter +import com.twitter.product_mixer.core.feature.featuremap.datarecord.DataRecordExtractor +import com.twitter.product_mixer.core.feature.featuremap.datarecord.FeaturesScope +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.identifier.ScorerIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.pipeline.pipeline_failure.IllegalStateFailure +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.util.OffloadFuturePools +import com.twitter.stitch.Stitch +import com.twitter.timelines.clients.predictionservice.PredictionServiceGRPCClient +import com.twitter.timelines.configapi.FSBoundedParam +import com.twitter.timelines.prediction.features.recap.RecapFeatures +import com.twitter.util.Future +import com.twitter.util.Return + +object CommonFeaturesDataRecordFeature + extends DataRecordInAFeature[PipelineQuery] + with FeatureWithDefaultOnFailure[PipelineQuery, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +object CandidateFeaturesDataRecordFeature + extends DataRecordInAFeature[TweetCandidate] + with FeatureWithDefaultOnFailure[TweetCandidate, DataRecord] { + override def defaultValue: DataRecord = new DataRecord() +} + +case class HomeNaviModelDataRecordScorer[ + Query <: PipelineQuery, + Candidate <: UniversalNoun[Any], + CandidateFeatures <: BaseDataRecordFeature[Candidate, _], + ResultFeatures <: BaseDataRecordFeature[Candidate, _] +]( + override val identifier: ScorerIdentifier, + modelClient: PredictionServiceGRPCClient, + candidateFeatures: FeaturesScope[CandidateFeatures], + resultFeatures: Set[ResultFeatures], + statsReceiver: StatsReceiver) + extends Scorer[Query, Candidate] { + + require(resultFeatures.nonEmpty, "Result features cannot be empty") + + override val features: Set[Feature[_, _]] = + resultFeatures.asInstanceOf[ + Set[Feature[_, _]]] + CommonFeaturesDataRecordFeature + CandidateFeaturesDataRecordFeature + + private val queryDataRecordAdapter = new DataRecordConverter(AllFeatures()) + private val candidatesDataRecordAdapter = new DataRecordConverter(candidateFeatures) + private val resultDataRecordExtractor = new DataRecordExtractor(resultFeatures) + + private val scopedStatsReceiver = statsReceiver.scope(getClass.getSimpleName) + private val failuresStat = scopedStatsReceiver.stat("failures") + private val responsesStat = scopedStatsReceiver.stat("responses") + private val invalidResponsesSizeCounter = scopedStatsReceiver.counter("invalidResponsesSize") + private val candidatesDataRecordAdapterLatencyStat = + scopedStatsReceiver.scope("candidatesDataRecordAdapter").stat("latency_ms") + + private val DataRecordConstructionParallelism = 32 + + override def apply( + query: Query, + candidates: Seq[CandidateWithFeatures[Candidate]] + ): Stitch[Seq[FeatureMap]] = { + val commonRecord = query.features.map(queryDataRecordAdapter.toDataRecord) + val candidateRecords: Future[Seq[DataRecord]] = + Stat.time(candidatesDataRecordAdapterLatencyStat) { + OffloadFuturePools.parallelize[FeatureMap, DataRecord]( + candidates.map(_.features), + candidatesDataRecordAdapter.toDataRecord(_), + DataRecordConstructionParallelism, + new DataRecord + ) + } + + Stitch.callFuture { + candidateRecords.flatMap { records => + val predictionResponses = + modelClient.getPredictions( + records = records, + commonFeatures = commonRecord, + modelId = Some("Home") + ) + + predictionResponses.map { responses => + failuresStat.add(responses.count(_.isThrow)) + responsesStat.add(responses.size) + + if (responses.size == candidates.size) { + val predictedScoreFeatureMaps = responses.map { + case Return(dataRecord) => + resultDataRecordExtractor.fromDataRecord(dataRecord) + case _ => + resultDataRecordExtractor.fromDataRecord(new DataRecord()) + } + + // add Data Record to feature map, which will be used for logging in later stage + predictedScoreFeatureMaps.zip(records).map { + case (predictedScoreFeatureMap, candidateRecord) => + predictedScoreFeatureMap + + (key = CandidateFeaturesDataRecordFeature, value = candidateRecord) + + (key = CommonFeaturesDataRecordFeature, value = + commonRecord.getOrElse(new DataRecord())) + } + } else { + invalidResponsesSizeCounter.incr() + throw PipelineFailure(IllegalStateFailure, "Result Size mismatched candidates size") + } + } + } + } + } +} + +/** + * Features for results returned by Navi user-tweet prediction models. + */ +object HomeNaviModelDataRecordScorer { + val RequestBatchSize = 32 + + sealed trait PredictedScoreFeature + extends DataRecordOptionalFeature[TweetCandidate, Double] + with DoubleDataRecordCompatible { + def statName: String + + def modelWeightParam: FSBoundedParam[Double] + } + + object PredictedFavoriteScoreFeature extends PredictedScoreFeature { + override val featureName: String = RecapFeatures.PREDICTED_IS_FAVORITED.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "fav" + override val modelWeightParam = ModelWeights.FavParam + } + + object PredictedReplyScoreFeature extends PredictedScoreFeature { + override val featureName: String = RecapFeatures.PREDICTED_IS_REPLIED.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "reply" + override val modelWeightParam = ModelWeights.ReplyParam + } + + object PredictedRetweetScoreFeature extends PredictedScoreFeature { + override val featureName: String = RecapFeatures.PREDICTED_IS_RETWEETED.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "retweet" + override val modelWeightParam = ModelWeights.RetweetParam + } + + object PredictedReplyEngagedByAuthorScoreFeature extends PredictedScoreFeature { + override val featureName: String = + RecapFeatures.PREDICTED_IS_REPLIED_REPLY_ENGAGED_BY_AUTHOR.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "reply_engaged_by_author" + override val modelWeightParam = ModelWeights.ReplyEngagedByAuthorParam + } + + object PredictedGoodClickConvoDescFavoritedOrRepliedScoreFeature extends PredictedScoreFeature { + override val featureName: String = RecapFeatures.PREDICTED_IS_GOOD_CLICKED_V1.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "good_click_convo_desc_favorited_or_replied" + override val modelWeightParam = ModelWeights.GoodClickParam + } + + object PredictedGoodClickConvoDescUamGt2ScoreFeature extends PredictedScoreFeature { + override val featureName: String = RecapFeatures.PREDICTED_IS_GOOD_CLICKED_V2.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "good_click_convo_desc_uam_gt_2" + override val modelWeightParam = ModelWeights.GoodClickV2Param + } + + object PredictedNegativeFeedbackV2ScoreFeature extends PredictedScoreFeature { + override val featureName: String = + RecapFeatures.PREDICTED_IS_NEGATIVE_FEEDBACK_V2.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "negative_feedback_v2" + override val modelWeightParam = ModelWeights.NegativeFeedbackV2Param + } + + object PredictedGoodProfileClickScoreFeature extends PredictedScoreFeature { + override val featureName: String = + RecapFeatures.PREDICTED_IS_PROFILE_CLICKED_AND_PROFILE_ENGAGED.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "good_profile_click" + override val modelWeightParam = ModelWeights.GoodProfileClickParam + } + + object PredictedReportedScoreFeature extends PredictedScoreFeature { + override val featureName: String = + RecapFeatures.PREDICTED_IS_REPORT_TWEET_CLICKED.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "reported" + override val modelWeightParam = ModelWeights.ReportParam + } + + object PredictedVideoPlayback50ScoreFeature extends PredictedScoreFeature { + override val featureName: String = RecapFeatures.PREDICTED_IS_VIDEO_PLAYBACK_50.getFeatureName + override val personalDataTypes: Set[pd.PersonalDataType] = Set.empty + override val statName = "video_playback_50" + override val modelWeightParam = ModelWeights.VideoPlayback50Param + } + + val PredictedScoreFeatures: Seq[PredictedScoreFeature] = Seq( + PredictedFavoriteScoreFeature, + PredictedReplyScoreFeature, + PredictedRetweetScoreFeature, + PredictedReplyEngagedByAuthorScoreFeature, + PredictedGoodClickConvoDescFavoritedOrRepliedScoreFeature, + PredictedGoodClickConvoDescUamGt2ScoreFeature, + PredictedNegativeFeedbackV2ScoreFeature, + PredictedGoodProfileClickScoreFeature, + PredictedReportedScoreFeature, + PredictedVideoPlayback50ScoreFeature, + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/WeightedScoresSumScorer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/WeightedScoresSumScorer.scala new file mode 100644 index 000000000..9f937448f --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer/WeightedScoresSumScorer.scala @@ -0,0 +1,91 @@ +package com.twitter.home_mixer.product.scored_tweets.scorer + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.model.HomeFeatures.WeightedModelScoreFeature +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.Feature +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.identifier.ScorerIdentifier +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.stitch.Stitch +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class WeightedScoresSumScorer @Inject() (statsReceiver: StatsReceiver) + extends Scorer[ScoredTweetsQuery, TweetCandidate] { + + override val identifier: ScorerIdentifier = ScorerIdentifier("WeightedScoresSum") + + override val features: Set[Feature[_, _]] = Set(WeightedModelScoreFeature, ScoreFeature) + + private val StatsReadabilityMultiplier = 1000 + private val Epsilon = 0.001 + private val PredictedScoreStatName = f"predicted_score_${StatsReadabilityMultiplier}x" + private val MissingScoreStatName = "missing_score" + + private val scopedStatsProvider = statsReceiver.scope(getClass.getSimpleName) + private val scoreStat = scopedStatsProvider.stat(f"score_${StatsReadabilityMultiplier}x") + + override def apply( + query: ScoredTweetsQuery, + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Stitch[Seq[FeatureMap]] = { + val features = candidates.map { candidate => + val score = weightedModelScore(query, candidate.features) + scoreStat.add((score * StatsReadabilityMultiplier).toFloat) + FeatureMapBuilder() + .add(WeightedModelScoreFeature, Some(score)) + .add(ScoreFeature, Some(score)) + .build() + } + + Stitch.value(features) + } + + /** + * (1) compute weighted sum of predicted scores of all engagements + * (2) convert negative score to positive score if needed + */ + private def weightedModelScore( + query: PipelineQuery, + features: FeatureMap + ): Double = { + val weightedScoreAndModelWeightSeq: Seq[(Double, Double)] = + HomeNaviModelDataRecordScorer.PredictedScoreFeatures.map { scoreFeature => + val predictedScoreOpt = features.getOrElse(scoreFeature, None) + + predictedScoreOpt match { + case Some(predictedScore) => + scopedStatsProvider + .stat(scoreFeature.statName, PredictedScoreStatName) + .add((predictedScore * StatsReadabilityMultiplier).toFloat) + case None => + scopedStatsProvider.counter(scoreFeature.statName, MissingScoreStatName).incr() + } + + val weight = query.params(scoreFeature.modelWeightParam) + (predictedScoreOpt.getOrElse(0.0) * weight, weight) + } + + val (weightedScores, modelWeights) = weightedScoreAndModelWeightSeq.unzip + val combinedScoreSum = weightedScores.sum + + val positiveModelWeightsSum = modelWeights.filter(_ > 0.0).sum + val negativeModelWeightsSum = modelWeights.filter(_ < 0).sum.abs + val modelWeightsSum = positiveModelWeightsSum + negativeModelWeightsSum + + val weightedScoresSum = + if (modelWeightsSum == 0) combinedScoreSum.max(0.0) + else if (combinedScoreSum < 0) + (combinedScoreSum + negativeModelWeightsSum) / modelWeightsSum * Epsilon + else combinedScoreSum + Epsilon + + weightedScoresSum + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/BUILD.bazel new file mode 100644 index 000000000..fcd1bbda8 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/BUILD.bazel @@ -0,0 +1,33 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "finatra/inject/inject-core/src/main/scala", + "finatra/inject/inject-core/src/main/scala/com/twitter/inject", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/offline_aggregates", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/real_time_aggregates", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/scorer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/module", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/candidate_pipeline", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/gate", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/common", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tweet_tlx", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/selector", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/scoring", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/guice", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsDiversityScoringPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsDiversityScoringPipelineConfig.scala new file mode 100644 index 000000000..3a202f594 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsDiversityScoringPipelineConfig.scala @@ -0,0 +1,25 @@ +package com.twitter.home_mixer.product.scored_tweets.scoring_pipeline + +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.scorer.AuthorDiversityDiscountProvider +import com.twitter.home_mixer.product.scored_tweets.scorer.DiversityScorer +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.core.functional_component.common.AllPipelines +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.model.common.identifier.ScoringPipelineIdentifier +import com.twitter.product_mixer.core.pipeline.scoring.ScoringPipelineConfig + +object ScoredTweetsDiversityScoringPipelineConfig + extends ScoringPipelineConfig[ScoredTweetsQuery, TweetCandidate] { + + override val identifier: ScoringPipelineIdentifier = + ScoringPipelineIdentifier("ScoredTweetsDiversity") + + override val selectors: Seq[Selector[ScoredTweetsQuery]] = + Seq(InsertAppendResults(AllPipelines)) + + override val scorers: Seq[Scorer[ScoredTweetsQuery, TweetCandidate]] = + Seq(DiversityScorer(AuthorDiversityDiscountProvider)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsRescoreOONScoringPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsRescoreOONScoringPipelineConfig.scala new file mode 100644 index 000000000..71d53d2ec --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsRescoreOONScoringPipelineConfig.scala @@ -0,0 +1,23 @@ +package com.twitter.home_mixer.product.scored_tweets.scoring_pipeline + +import com.twitter.home_mixer.functional_component.scorer.OONTweetScalingScorer +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.core.functional_component.common.AllPipelines +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.model.common.identifier.ScoringPipelineIdentifier +import com.twitter.product_mixer.core.pipeline.scoring.ScoringPipelineConfig + +object ScoredTweetsRescoreOONScoringPipelineConfig + extends ScoringPipelineConfig[ScoredTweetsQuery, TweetCandidate] { + + override val identifier: ScoringPipelineIdentifier = + ScoringPipelineIdentifier("ScoredTweetsRescoreOON") + + override val selectors: Seq[Selector[ScoredTweetsQuery]] = + Seq(InsertAppendResults(AllPipelines)) + + override val scorers: Seq[Scorer[ScoredTweetsQuery, TweetCandidate]] = Seq(OONTweetScalingScorer) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsRescoreVerifiedAuthorScoringPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsRescoreVerifiedAuthorScoringPipelineConfig.scala new file mode 100644 index 000000000..d07e5c965 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsRescoreVerifiedAuthorScoringPipelineConfig.scala @@ -0,0 +1,24 @@ +package com.twitter.home_mixer.product.scored_tweets.scoring_pipeline + +import com.twitter.home_mixer.functional_component.scorer.VerifiedAuthorScalingScorer +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.core.functional_component.common.AllPipelines +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.model.common.identifier.ScoringPipelineIdentifier +import com.twitter.product_mixer.core.pipeline.scoring.ScoringPipelineConfig + +object ScoredTweetsRescoreVerifiedAuthorScoringPipelineConfig + extends ScoringPipelineConfig[ScoredTweetsQuery, TweetCandidate] { + + override val identifier: ScoringPipelineIdentifier = + ScoringPipelineIdentifier("ScoredTweetsRescoreVerifiedAuthor") + + override val selectors: Seq[Selector[ScoredTweetsQuery]] = + Seq(InsertAppendResults(AllPipelines)) + + override val scorers: Seq[Scorer[ScoredTweetsQuery, TweetCandidate]] = + Seq(VerifiedAuthorScalingScorer) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsScoringPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsScoringPipelineConfig.scala new file mode 100644 index 000000000..6d2b35c19 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsScoringPipelineConfig.scala @@ -0,0 +1,174 @@ +package com.twitter.home_mixer.product.scored_tweets.scoring_pipeline + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.functional_component.feature_hydrator._ +import com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates.Phase1EdgeAggregateFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.offline_aggregates.Phase2EdgeAggregateFeatureHydrator +import com.twitter.home_mixer.functional_component.feature_hydrator.real_time_aggregates._ +import com.twitter.home_mixer.model.HomeFeatures.EarlybirdScoreFeature +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.CachedScoredTweetsCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.ScoredTweetsCrMixerCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.ScoredTweetsFrsCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.ScoredTweetsInNetworkCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.ScoredTweetsUtegCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.QualityFactor +import com.twitter.home_mixer.product.scored_tweets.scorer.HomeNaviModelDataRecordScorer +import com.twitter.product_mixer.component_library.gate.NonEmptyCandidatesGate +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.selector.DropMaxCandidates +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.component_library.selector.UpdateSortCandidates +import com.twitter.product_mixer.core.feature.featuremap.datarecord.AllFeatures +import com.twitter.product_mixer.core.functional_component.common.AllExceptPipelines +import com.twitter.product_mixer.core.functional_component.common.SpecificPipelines +import com.twitter.product_mixer.core.functional_component.feature_hydrator.BaseCandidateFeatureHydrator +import com.twitter.product_mixer.core.functional_component.gate.BaseGate +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.model.common.identifier.ScorerIdentifier +import com.twitter.product_mixer.core.model.common.identifier.ScoringPipelineIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.pipeline.pipeline_failure.UnexpectedCandidateResult +import com.twitter.product_mixer.core.pipeline.scoring.ScoringPipelineConfig +import com.twitter.timelines.clients.predictionservice.PredictionGRPCService +import com.twitter.timelines.clients.predictionservice.PredictionServiceGRPCClient +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ScoredTweetsScoringPipelineConfig @Inject() ( + scoredTweetsInNetworkCandidatePipelineConfig: ScoredTweetsInNetworkCandidatePipelineConfig, + scoredTweetsUtegCandidatePipelineConfig: ScoredTweetsUtegCandidatePipelineConfig, + scoredTweetsCrMixerCandidatePipelineConfig: ScoredTweetsCrMixerCandidatePipelineConfig, + scoredTweetsFrsCandidatePipelineConfig: ScoredTweetsFrsCandidatePipelineConfig, + predictionGRPCService: PredictionGRPCService, + ancestorFeatureHydrator: AncestorFeatureHydrator, + authorFeatureHydrator: AuthorFeatureHydrator, + earlybirdFeatureHydrator: EarlybirdFeatureHydrator, + metricCenterUserCountingFeatureHydrator: MetricCenterUserCountingFeatureHydrator, + tweetypieContentFeatureHydrator: TweetypieContentFeatureHydrator, + gizmoduckAuthorSafetyFeatureHydrator: GizmoduckAuthorSafetyFeatureHydrator, + graphTwoHopFeatureHydrator: GraphTwoHopFeatureHydrator, + socialGraphServiceFeatureHydrator: SocialGraphServiceFeatureHydrator, + twhinAuthorFollow20220101FeatureHydrator: TwhinAuthorFollow20220101FeatureHydrator, + userFollowedTopicIdsFeatureHydrator: UserFollowedTopicIdsFeatureHydrator, + utegFeatureHydrator: UtegFeatureHydrator, + realGraphViewerAuthorFeatureHydrator: RealGraphViewerAuthorFeatureHydrator, + realGraphViewerRelatedUsersFeatureHydrator: RealGraphViewerRelatedUsersFeatureHydrator, + realTimeInteractionGraphEdgeFeatureHydrator: RealTimeInteractionGraphEdgeFeatureHydrator, + engagementsReceivedByAuthorRealTimeAggregateFeatureHydrator: EngagementsReceivedByAuthorRealTimeAggregateFeatureHydrator, + topicCountryEngagementRealTimeAggregateFeatureHydrator: TopicCountryEngagementRealTimeAggregateFeatureHydrator, + topicEngagementRealTimeAggregateFeatureHydrator: TopicEngagementRealTimeAggregateFeatureHydrator, + tspInferredTopicFeatureHydrator: TSPInferredTopicFeatureHydrator, + tweetCountryEngagementRealTimeAggregateFeatureHydrator: TweetCountryEngagementRealTimeAggregateFeatureHydrator, + tweetEngagementRealTimeAggregateFeatureHydrator: TweetEngagementRealTimeAggregateFeatureHydrator, + twitterListEngagementRealTimeAggregateFeatureHydrator: TwitterListEngagementRealTimeAggregateFeatureHydrator, + userAuthorEngagementRealTimeAggregateFeatureHydrator: UserAuthorEngagementRealTimeAggregateFeatureHydrator, + simClustersEngagementSimilarityFeatureHydrator: SimClustersEngagementSimilarityFeatureHydrator, + phase1EdgeAggregateFeatureHydrator: Phase1EdgeAggregateFeatureHydrator, + phase2EdgeAggregateFeatureHydrator: Phase2EdgeAggregateFeatureHydrator, + statsReceiver: StatsReceiver) + extends ScoringPipelineConfig[ScoredTweetsQuery, TweetCandidate] { + + override val identifier: ScoringPipelineIdentifier = ScoringPipelineIdentifier("ScoredTweets") + + private val nonCachedScoringPipelineScope = AllExceptPipelines( + pipelinesToExclude = Set(CachedScoredTweetsCandidatePipelineConfig.Identifier) + ) + + override val gates: Seq[BaseGate[ScoredTweetsQuery]] = Seq( + NonEmptyCandidatesGate(nonCachedScoringPipelineScope) + ) + + private val earlybirdScorePipelineScope = Set( + scoredTweetsInNetworkCandidatePipelineConfig.identifier, + scoredTweetsUtegCandidatePipelineConfig.identifier, + scoredTweetsFrsCandidatePipelineConfig.identifier + ) + + private val earlybirdScoreOrdering: Ordering[CandidateWithDetails] = + Ordering.by[CandidateWithDetails, Double] { + case ItemCandidateWithDetails(_, _, features) => + -features.getOrElse(EarlybirdScoreFeature, None).getOrElse(0.0) + case _ => throw PipelineFailure(UnexpectedCandidateResult, "Invalid candidate type") + } + + override val selectors: Seq[Selector[ScoredTweetsQuery]] = Seq( + UpdateSortCandidates(SpecificPipelines(earlybirdScorePipelineScope), earlybirdScoreOrdering), + new DropMaxCandidates( + pipelineScope = SpecificPipelines(earlybirdScorePipelineScope), + maxSelector = (query, _, _) => + (query.getQualityFactorCurrentValue(identifier) * + query.params(QualityFactor.MaxTweetsToScoreParam)).toInt + ), + new DropMaxCandidates( + pipelineScope = SpecificPipelines(scoredTweetsCrMixerCandidatePipelineConfig.identifier), + maxSelector = (query, _, _) => + (query.getQualityFactorCurrentValue(identifier) * + query.params(QualityFactor.CrMixerMaxTweetsToScoreParam)).toInt + ), + // Select candidates for Heavy Ranker Feature Hydration and Scoring + InsertAppendResults(nonCachedScoringPipelineScope) + ) + + override val preScoringFeatureHydrationPhase1: Seq[ + BaseCandidateFeatureHydrator[ScoredTweetsQuery, TweetCandidate, _] + ] = Seq( + ancestorFeatureHydrator, + authorFeatureHydrator, + earlybirdFeatureHydrator, + gizmoduckAuthorSafetyFeatureHydrator, + graphTwoHopFeatureHydrator, + metricCenterUserCountingFeatureHydrator, + socialGraphServiceFeatureHydrator, + TweetMetaDataFeatureHydrator, + tweetypieContentFeatureHydrator, + twhinAuthorFollow20220101FeatureHydrator, + userFollowedTopicIdsFeatureHydrator, + utegFeatureHydrator, + realTimeInteractionGraphEdgeFeatureHydrator, + realGraphViewerAuthorFeatureHydrator, + // real time aggregates + engagementsReceivedByAuthorRealTimeAggregateFeatureHydrator, + simClustersEngagementSimilarityFeatureHydrator, + tspInferredTopicFeatureHydrator, + tweetCountryEngagementRealTimeAggregateFeatureHydrator, + tweetEngagementRealTimeAggregateFeatureHydrator, + twitterListEngagementRealTimeAggregateFeatureHydrator, + userAuthorEngagementRealTimeAggregateFeatureHydrator, + // offline aggregates + phase1EdgeAggregateFeatureHydrator + ) + + override val preScoringFeatureHydrationPhase2: Seq[ + BaseCandidateFeatureHydrator[ScoredTweetsQuery, TweetCandidate, _] + ] = Seq( + realGraphViewerRelatedUsersFeatureHydrator, + TimeFeaturesHydrator, + topicCountryEngagementRealTimeAggregateFeatureHydrator, + topicEngagementRealTimeAggregateFeatureHydrator, + phase2EdgeAggregateFeatureHydrator + ) + + private val homeNaviModelDataRecordScorer: Scorer[ScoredTweetsQuery, TweetCandidate] = { + val modelClient = new PredictionServiceGRPCClient( + service = predictionGRPCService, + statsReceiver = statsReceiver, + requestBatchSize = HomeNaviModelDataRecordScorer.RequestBatchSize, + useCompact = false + ) + HomeNaviModelDataRecordScorer( + identifier = ScorerIdentifier("HomeNaviModel"), + modelClient = modelClient, + candidateFeatures = AllFeatures(), + resultFeatures = HomeNaviModelDataRecordScorer.PredictedScoreFeatures.toSet, + statsReceiver = statsReceiver + ) + } + + override val scorers: Seq[Scorer[ScoredTweetsQuery, TweetCandidate]] = + Seq(homeNaviModelDataRecordScorer) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsWeightedScoresSumScoringPipelineConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsWeightedScoresSumScoringPipelineConfig.scala new file mode 100644 index 000000000..459bc4d44 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scoring_pipeline/ScoredTweetsWeightedScoresSumScoringPipelineConfig.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.product.scored_tweets.scoring_pipeline + +import com.twitter.home_mixer.product.scored_tweets.candidate_pipeline.CachedScoredTweetsCandidatePipelineConfig +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.scorer.WeightedScoresSumScorer +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.component_library.selector.InsertAppendResults +import com.twitter.product_mixer.core.functional_component.common.AllExceptPipelines +import com.twitter.product_mixer.core.functional_component.scorer.Scorer +import com.twitter.product_mixer.core.functional_component.selector.Selector +import com.twitter.product_mixer.core.model.common.identifier.ScoringPipelineIdentifier +import com.twitter.product_mixer.core.pipeline.scoring.ScoringPipelineConfig +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class ScoredTweetsWeightedScoresSumScoringPipelineConfig @Inject() ( + weightedScoresSumScorer: WeightedScoresSumScorer) + extends ScoringPipelineConfig[ScoredTweetsQuery, TweetCandidate] { + + override val identifier: ScoringPipelineIdentifier = + ScoringPipelineIdentifier("ScoredTweetsWeightedScoresSum") + + override val selectors: Seq[Selector[ScoredTweetsQuery]] = Seq( + InsertAppendResults( + AllExceptPipelines(pipelinesToExclude = + Set(CachedScoredTweetsCandidatePipelineConfig.Identifier)) + ) + ) + + override val scorers: Seq[Scorer[ScoredTweetsQuery, TweetCandidate]] = Seq( + weightedScoresSumScorer + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/BUILD.bazel new file mode 100644 index 000000000..f6c404ec6 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/BUILD.bazel @@ -0,0 +1,35 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "finagle/finagle-mysql/src/main/scala", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/feature_hydrator/adapters/non_ml_features", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model/request", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/model", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/param", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/scorer", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/service", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/scorer/tweet_tlx", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/side_effect", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/feature/featuremap/datarecord", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/marshaller/response/urt", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "servo/repo/src/main/scala", + "servo/util/src/main/scala", + "src/scala/com/twitter/timelines/prediction/common/adapters", + "src/thrift/com/twitter/timelines/suggests/common:data_record_metadata-scala", + "src/thrift/com/twitter/timelines/suggests/common:poly_data_record-java", + "timelines/ml:pldr-client", + "timelines/ml:pldr-conversion", + "timelines/ml/cont_train/common/domain/src/main/scala/com/twitter/timelines/ml/cont_train/common/domain/non_scalding", + "timelines/src/main/scala/com/twitter/timelines/util/stats", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/CachedScoredTweetsSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/CachedScoredTweetsSideEffect.scala new file mode 100644 index 000000000..abe076c54 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/CachedScoredTweetsSideEffect.scala @@ -0,0 +1,123 @@ +package com.twitter.home_mixer.product.scored_tweets.side_effect + +import com.twitter.home_mixer.model.HomeFeatures.AncestorsFeature +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.AuthorIsBlueVerifiedFeature +import com.twitter.home_mixer.model.HomeFeatures.CachedCandidatePipelineIdentifierFeature +import com.twitter.home_mixer.model.HomeFeatures.DirectedAtUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FavoritedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.FollowedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.InReplyToUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.LastScoredTimestampMsFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.QuotedUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SuggestTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicContextFunctionalityTypeFeature +import com.twitter.home_mixer.model.HomeFeatures.TopicIdSocialContextFeature +import com.twitter.home_mixer.model.HomeFeatures.TweetUrlsFeature +import com.twitter.home_mixer.model.HomeFeatures.WeightedModelScoreFeature +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsResponse +import com.twitter.home_mixer.product.scored_tweets.param.ScoredTweetsParam.CachedScoredTweets +import com.twitter.home_mixer.service.HomeMixerAlertConfig +import com.twitter.home_mixer.{thriftscala => hmt} +import com.twitter.product_mixer.core.functional_component.marshaller.response.urt.metadata.TopicContextFunctionalityTypeMarshaller +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.servo.cache.TtlCache +import com.twitter.stitch.Stitch +import com.twitter.util.Time + +import javax.inject.Inject +import javax.inject.Singleton + +@Singleton +class CachedScoredTweetsSideEffect @Inject() ( + scoredTweetsCache: TtlCache[Long, hmt.CachedScoredTweets]) + extends PipelineResultSideEffect[PipelineQuery, ScoredTweetsResponse] { + + override val identifier: SideEffectIdentifier = SideEffectIdentifier("CachedScoredTweets") + + private val MaxTweetsToCache = 1000 + + def buildCachedScoredTweets( + candidates: Seq[CandidateWithDetails] + ): hmt.CachedScoredTweets = { + val tweets = candidates.map { candidate => + val favoritedByUserIds = candidate.features.getOrElse(FavoritedByUserIdsFeature, Seq.empty) + val followedByUserIds = candidate.features.getOrElse(FollowedByUserIdsFeature, Seq.empty) + val ancestors = candidate.features.getOrElse(AncestorsFeature, Seq.empty) + val urlsList = candidate.features.getOrElse(TweetUrlsFeature, Seq.empty) + + hmt.CachedScoredTweet( + tweetId = candidate.candidateIdLong, + // Cache the model score instead of the final score because rescoring is per-request + score = candidate.features.getOrElse(WeightedModelScoreFeature, None), + lastScoredTimestampMs = Some( + candidate.features + .getOrElse(LastScoredTimestampMsFeature, None) + .getOrElse(Time.now.inMilliseconds)), + candidatePipelineIdentifier = Some( + candidate.features + .getOrElse(CachedCandidatePipelineIdentifierFeature, None) + .getOrElse(candidate.source.name)), + userId = candidate.features.getOrElse(AuthorIdFeature, None), + sourceTweetId = candidate.features.getOrElse(SourceTweetIdFeature, None), + sourceUserId = candidate.features.getOrElse(SourceUserIdFeature, None), + isRetweet = Some(candidate.features.getOrElse(IsRetweetFeature, false)), + isInNetwork = Some(candidate.features.getOrElse(InNetworkFeature, false)), + suggestType = candidate.features.getOrElse(SuggestTypeFeature, None), + quotedTweetId = candidate.features.getOrElse(QuotedTweetIdFeature, None), + quotedUserId = candidate.features.getOrElse(QuotedUserIdFeature, None), + inReplyToTweetId = candidate.features.getOrElse(InReplyToTweetIdFeature, None), + inReplyToUserId = candidate.features.getOrElse(InReplyToUserIdFeature, None), + directedAtUserId = candidate.features.getOrElse(DirectedAtUserIdFeature, None), + favoritedByUserIds = if (favoritedByUserIds.nonEmpty) Some(favoritedByUserIds) else None, + followedByUserIds = if (followedByUserIds.nonEmpty) Some(followedByUserIds) else None, + topicId = candidate.features.getOrElse(TopicIdSocialContextFeature, None), + topicFunctionalityType = candidate.features + .getOrElse(TopicContextFunctionalityTypeFeature, None).map( + TopicContextFunctionalityTypeMarshaller(_)), + ancestors = if (ancestors.nonEmpty) Some(ancestors) else None, + urlsList = if (urlsList.nonEmpty) Some(urlsList) else None, + authorIsBlueVerified = + Some(candidate.features.getOrElse(AuthorIsBlueVerifiedFeature, false)) + ) + } + + hmt.CachedScoredTweets(tweets = tweets) + } + + final override def apply( + inputs: PipelineResultSideEffect.Inputs[PipelineQuery, ScoredTweetsResponse] + ): Stitch[Unit] = { + val candidates = (inputs.selectedCandidates ++ inputs.remainingCandidates).filter { candidate => + val score = candidate.features.getOrElse(ScoreFeature, None) + score.exists(_ > 0.0) + } + + val truncatedCandidates = + if (candidates.size > MaxTweetsToCache) + candidates + .sortBy(-_.features.getOrElse(ScoreFeature, None).getOrElse(0.0)) + .take(MaxTweetsToCache) + else candidates + + if (truncatedCandidates.nonEmpty) { + val ttl = inputs.query.params(CachedScoredTweets.TTLParam) + val scoredTweets = buildCachedScoredTweets(truncatedCandidates) + Stitch.callFuture(scoredTweetsCache.set(inputs.query.getRequiredUserId, scoredTweets, ttl)) + } else Stitch.Unit + } + + override val alerts = Seq( + HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.4) + ) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/ScribeServedCommonFeaturesAndCandidateFeaturesSideEffect.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/ScribeServedCommonFeaturesAndCandidateFeaturesSideEffect.scala new file mode 100644 index 000000000..2599832cc --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/product/scored_tweets/side_effect/ScribeServedCommonFeaturesAndCandidateFeaturesSideEffect.scala @@ -0,0 +1,213 @@ +package com.twitter.home_mixer.product.scored_tweets.side_effect + +import com.twitter.conversions.DurationOps._ +import com.twitter.finagle.mysql.Client +import com.twitter.finagle.mysql.Transactions +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.finagle.util.DefaultTimer +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.non_ml_features.NonMLCandidateFeatures +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.non_ml_features.NonMLCandidateFeaturesAdapter +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.non_ml_features.NonMLCommonFeatures +import com.twitter.home_mixer.functional_component.feature_hydrator.adapters.non_ml_features.NonMLCommonFeaturesAdapter +import com.twitter.home_mixer.model.HomeFeatures.ServedRequestIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.param.HomeMixerFlagName.DataRecordMetadataStoreConfigsYmlFlag +import com.twitter.home_mixer.param.HomeMixerInjectionNames.CandidateFeaturesScribeEventPublisher +import com.twitter.home_mixer.param.HomeMixerInjectionNames.CommonFeaturesScribeEventPublisher +import com.twitter.home_mixer.param.HomeMixerInjectionNames.MinimumFeaturesScribeEventPublisher +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsQuery +import com.twitter.home_mixer.product.scored_tweets.model.ScoredTweetsResponse +import com.twitter.home_mixer.product.scored_tweets.scorer.CandidateFeaturesDataRecordFeature +import com.twitter.home_mixer.product.scored_tweets.scorer.CommonFeaturesDataRecordFeature +import com.twitter.home_mixer.product.scored_tweets.scorer.HomeNaviModelDataRecordScorer.PredictedScoreFeatures +import com.twitter.home_mixer.util.CandidatesUtil.getOriginalAuthorId +import com.twitter.inject.annotations.Flag +import com.twitter.logpipeline.client.common.EventPublisher +import com.twitter.ml.api.DataRecordMerger +import com.twitter.product_mixer.core.feature.featuremap.datarecord.DataRecordConverter +import com.twitter.product_mixer.core.feature.featuremap.datarecord.SpecificFeatures +import com.twitter.product_mixer.core.functional_component.side_effect.PipelineResultSideEffect +import com.twitter.product_mixer.core.model.common.identifier.SideEffectIdentifier +import com.twitter.stitch.Stitch +import com.twitter.timelines.ml.cont_train.common.domain.non_scalding.CandidateAndCommonFeaturesStreamingUtils +import com.twitter.timelines.ml.pldr.client.MysqlClientUtils +import com.twitter.timelines.ml.pldr.client.VersionedMetadataCacheClient +import com.twitter.timelines.ml.pldr.conversion.VersionIdAndFeatures +import com.twitter.timelines.suggests.common.data_record_metadata.{thriftscala => drmd} +import com.twitter.timelines.suggests.common.poly_data_record.{thriftjava => pldr} +import com.twitter.timelines.util.stats.OptionObserver +import com.twitter.util.Time +import com.twitter.util.Try +import com.twitter.util.logging.Logging +import javax.inject.Inject +import javax.inject.Named +import javax.inject.Singleton +import scala.collection.JavaConverters._ + +/** + * (1) Scribe common features sent to prediction service + some other features as PLDR format into logs + * (2) Scribe candidate features sent to prediction service + some other features as PLDR format into another logs + */ +@Singleton +class ScribeServedCommonFeaturesAndCandidateFeaturesSideEffect @Inject() ( + @Flag(DataRecordMetadataStoreConfigsYmlFlag) dataRecordMetadataStoreConfigsYml: String, + @Named(CommonFeaturesScribeEventPublisher) commonFeaturesScribeEventPublisher: EventPublisher[ + pldr.PolyDataRecord + ], + @Named(CandidateFeaturesScribeEventPublisher) candidateFeaturesScribeEventPublisher: EventPublisher[ + pldr.PolyDataRecord + ], + @Named(MinimumFeaturesScribeEventPublisher) minimumFeaturesScribeEventPublisher: EventPublisher[ + pldr.PolyDataRecord + ], + statsReceiver: StatsReceiver, +) extends PipelineResultSideEffect[ScoredTweetsQuery, ScoredTweetsResponse] + with Logging { + + override val identifier: SideEffectIdentifier = SideEffectIdentifier( + "ScribeServedCommonFeaturesAndCandidateFeatures") + + private val drMerger = new DataRecordMerger + private val postScoringCandidateFeatures = SpecificFeatures(PredictedScoreFeatures.toSet) + private val postScoringCandidateFeaturesDataRecordAdapter = new DataRecordConverter( + postScoringCandidateFeatures) + + private val scopedStatsReceiver = statsReceiver.scope(getClass.getSimpleName) + private val metadataFetchFailedCounter = scopedStatsReceiver.counter("metadataFetchFailed") + private val commonFeaturesScribeCounter = scopedStatsReceiver.counter("commonFeaturesScribe") + private val commonFeaturesPLDROptionObserver = OptionObserver( + scopedStatsReceiver.scope("commonFeaturesPLDR")) + private val candidateFeaturesScribeCounter = + scopedStatsReceiver.counter("candidateFeaturesScribe") + private val candidateFeaturesPLDROptionObserver = OptionObserver( + scopedStatsReceiver.scope("candidateFeaturesPLDR")) + private val minimumFeaturesPLDROptionObserver = OptionObserver( + scopedStatsReceiver.scope("minimumFeaturesPLDR")) + private val minimumFeaturesScribeCounter = + scopedStatsReceiver.counter("minimumFeaturesScribe") + + lazy private val dataRecordMetadataStoreClient: Option[Client with Transactions] = + Try { + MysqlClientUtils.mysqlClientProvider( + MysqlClientUtils.parseConfigFromYaml(dataRecordMetadataStoreConfigsYml)) + }.onFailure { e => info(s"Error building MySQL client: $e") }.toOption + + lazy private val versionedMetadataCacheClientOpt: Option[ + VersionedMetadataCacheClient[Map[drmd.FeaturesCategory, Option[VersionIdAndFeatures]]] + ] = + dataRecordMetadataStoreClient.map { mysqlClient => + new VersionedMetadataCacheClient[Map[drmd.FeaturesCategory, Option[VersionIdAndFeatures]]]( + maximumSize = 1, + expireDurationOpt = None, + mysqlClient = mysqlClient, + transform = CandidateAndCommonFeaturesStreamingUtils.metadataTransformer, + statsReceiver = statsReceiver + ) + } + + versionedMetadataCacheClientOpt.foreach { versionedMetadataCacheClient => + versionedMetadataCacheClient + .metadataFetchTimerTask( + CandidateAndCommonFeaturesStreamingUtils.metadataFetchKey, + metadataFetchTimer = DefaultTimer, + metadataFetchInterval = 90.seconds, + metadataFetchFailedCounter = metadataFetchFailedCounter + ) + } + + override def apply( + inputs: PipelineResultSideEffect.Inputs[ScoredTweetsQuery, ScoredTweetsResponse] + ): Stitch[Unit] = { + Stitch.value { + val servedTimestamp: Long = Time.now.inMilliseconds + val nonMLCommonFeatures = NonMLCommonFeatures( + userId = inputs.query.getRequiredUserId, + predictionRequestId = + inputs.query.features.flatMap(_.getOrElse(ServedRequestIdFeature, None)), + servedTimestamp = servedTimestamp + ) + val nonMLCommonFeaturesDataRecord = + NonMLCommonFeaturesAdapter.adaptToDataRecords(nonMLCommonFeatures).asScala.head + + /** + * Steps of scribing common features + * (1) fetch common features as data record + * (2) extract additional feature as data record, e.g. predictionRequestId which is used as join key in downstream jobs + * (3) merge two data records above and convert the merged data record to pldr + * (4) publish pldr + */ + val commonFeaturesDataRecordOpt = + inputs.selectedCandidates.headOption.map(_.features.get(CommonFeaturesDataRecordFeature)) + val commonFeaturesPLDROpt = commonFeaturesDataRecordOpt.flatMap { commonFeaturesDataRecord => + drMerger.merge(commonFeaturesDataRecord, nonMLCommonFeaturesDataRecord) + + CandidateAndCommonFeaturesStreamingUtils.commonFeaturesToPolyDataRecord( + versionedMetadataCacheClientOpt = versionedMetadataCacheClientOpt, + commonFeatures = commonFeaturesDataRecord, + valueFormat = pldr.PolyDataRecord._Fields.LITE_COMPACT_DATA_RECORD + ) + } + + commonFeaturesPLDROptionObserver(commonFeaturesPLDROpt).foreach { pldr => + commonFeaturesScribeEventPublisher.publish(pldr) + commonFeaturesScribeCounter.incr() + } + + /** + * steps of scribing candidate features + * (1) fetch candidate features as data record + * (2) extract additional features (mostly non ML features including predicted scores, predictionRequestId, userId, tweetId) + * (3) merge data records and convert the merged data record into pldr + * (4) publish pldr + */ + inputs.selectedCandidates.foreach { candidate => + val candidateFeaturesDataRecord = candidate.features.get(CandidateFeaturesDataRecordFeature) + + /** + * extract predicted scores as data record and merge it into original data record + */ + val postScoringCandidateFeaturesDataRecord = + postScoringCandidateFeaturesDataRecordAdapter.toDataRecord(candidate.features) + drMerger.merge(candidateFeaturesDataRecord, postScoringCandidateFeaturesDataRecord) + + /** + * extract non ML common features as data record and merge it into original data record + */ + drMerger.merge(candidateFeaturesDataRecord, nonMLCommonFeaturesDataRecord) + + /** + * extract non ML candidate features as data record and merge it into original data record + */ + val nonMLCandidateFeatures = NonMLCandidateFeatures( + tweetId = candidate.candidateIdLong, + sourceTweetId = candidate.features.getOrElse(SourceTweetIdFeature, None), + originalAuthorId = getOriginalAuthorId(candidate.features) + ) + val nonMLCandidateFeaturesDataRecord = + NonMLCandidateFeaturesAdapter.adaptToDataRecords(nonMLCandidateFeatures).asScala.head + drMerger.merge(candidateFeaturesDataRecord, nonMLCandidateFeaturesDataRecord) + + val candidateFeaturesPLDROpt = + CandidateAndCommonFeaturesStreamingUtils.candidateFeaturesToPolyDataRecord( + versionedMetadataCacheClientOpt = versionedMetadataCacheClientOpt, + candidateFeatures = candidateFeaturesDataRecord, + valueFormat = pldr.PolyDataRecord._Fields.LITE_COMPACT_DATA_RECORD + ) + + candidateFeaturesPLDROptionObserver(candidateFeaturesPLDROpt).foreach { pldr => + candidateFeaturesScribeEventPublisher.publish(pldr) + candidateFeaturesScribeCounter.incr() + } + + // scribe minimum features which are used to join labels from client events. + val minimumFeaturesPLDROpt = candidateFeaturesPLDROpt + .map(CandidateAndCommonFeaturesStreamingUtils.extractMinimumFeaturesFromPldr) + .map(pldr.PolyDataRecord.dataRecord) + minimumFeaturesPLDROptionObserver(minimumFeaturesPLDROpt).foreach { pldr => + minimumFeaturesScribeEventPublisher.publish(pldr) + minimumFeaturesScribeCounter.incr() + } + } + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/BUILD.bazel new file mode 100644 index 000000000..c0211ff72 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/BUILD.bazel @@ -0,0 +1,15 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/javax/inject:javax.inject", + "configapi/configapi-core", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/product/registry", + "stitch/stitch-core", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/HomeMixerAccessPolicy.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/HomeMixerAccessPolicy.scala new file mode 100644 index 000000000..853f4b56a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/HomeMixerAccessPolicy.scala @@ -0,0 +1,13 @@ +package com.twitter.home_mixer.service + +import com.twitter.product_mixer.core.functional_component.common.access_policy.AccessPolicy +import com.twitter.product_mixer.core.functional_component.common.access_policy.AllowedLdapGroups + +object HomeMixerAccessPolicy { + + /** + * Access policies can be configured on a product-by-product basis but you may also want products + * to have a common policy. + */ + val DefaultHomeMixerAccessPolicy: Set[AccessPolicy] = Set(AllowedLdapGroups(Set.empty[String])) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/HomeMixerAlertConfig.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/HomeMixerAlertConfig.scala new file mode 100644 index 000000000..93c361516 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/HomeMixerAlertConfig.scala @@ -0,0 +1,65 @@ +package com.twitter.home_mixer.service + +import com.twitter.conversions.DurationOps._ +import com.twitter.product_mixer.core.functional_component.common.alert.Destination +import com.twitter.product_mixer.core.functional_component.common.alert.EmptyResponseRateAlert +import com.twitter.product_mixer.core.functional_component.common.alert.LatencyAlert +import com.twitter.product_mixer.core.functional_component.common.alert.NotificationGroup +import com.twitter.product_mixer.core.functional_component.common.alert.P99 +import com.twitter.product_mixer.core.functional_component.common.alert.Percentile +import com.twitter.product_mixer.core.functional_component.common.alert.SuccessRateAlert +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfAbove +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfBelow +import com.twitter.product_mixer.core.functional_component.common.alert.predicate.TriggerIfLatencyAbove +import com.twitter.util.Duration + +/** + * Notifications (email, pagerduty, etc) can be specific per-alert but it is common for multiple + * products to share notification configuration. + */ +object HomeMixerAlertConfig { + val DefaultNotificationGroup: NotificationGroup = NotificationGroup( + warn = Destination(emails = Seq("")), + critical = Destination(emails = Seq("")) + ) + + object BusinessHours { + val DefaultNotificationGroup: NotificationGroup = NotificationGroup( + warn = Destination(emails = Seq("")), + critical = Destination(emails = Seq("")) + ) + + def defaultEmptyResponseRateAlert(warnThreshold: Double = 50, criticalThreshold: Double = 80) = + EmptyResponseRateAlert( + notificationGroup = DefaultNotificationGroup, + warnPredicate = TriggerIfAbove(warnThreshold), + criticalPredicate = TriggerIfAbove(criticalThreshold) + ) + + def defaultSuccessRateAlert( + threshold: Double = 99.5, + warnDatapointsPastThreshold: Int = 20, + criticalDatapointsPastThreshold: Int = 30, + duration: Int = 30 + ) = SuccessRateAlert( + notificationGroup = DefaultNotificationGroup, + warnPredicate = TriggerIfBelow(threshold, warnDatapointsPastThreshold, duration), + criticalPredicate = TriggerIfBelow(threshold, criticalDatapointsPastThreshold, duration), + ) + + def defaultLatencyAlert( + latencyThreshold: Duration = 200.millis, + warningDatapointsPastThreshold: Int = 15, + criticalDatapointsPastThreshold: Int = 30, + duration: Int = 30, + percentile: Percentile = P99 + ): LatencyAlert = LatencyAlert( + notificationGroup = DefaultNotificationGroup, + percentile = percentile, + warnPredicate = + TriggerIfLatencyAbove(latencyThreshold, warningDatapointsPastThreshold, duration), + criticalPredicate = + TriggerIfLatencyAbove(latencyThreshold, criticalDatapointsPastThreshold, duration) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/ScoredTweetsService.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/ScoredTweetsService.scala new file mode 100644 index 000000000..158e5ee45 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/service/ScoredTweetsService.scala @@ -0,0 +1,24 @@ +package com.twitter.home_mixer.service + +import com.twitter.home_mixer.{thriftscala => t} +import com.twitter.product_mixer.core.model.marshalling.request.Request +import com.twitter.product_mixer.core.pipeline.product.ProductPipelineRequest +import com.twitter.product_mixer.core.product.registry.ProductPipelineRegistry +import com.twitter.stitch.Stitch +import com.twitter.timelines.configapi.Params +import javax.inject.Inject +import javax.inject.Singleton +import scala.reflect.runtime.universe._ + +@Singleton +class ScoredTweetsService @Inject() (productPipelineRegistry: ProductPipelineRegistry) { + + def getScoredTweetsResponse[RequestType <: Request]( + request: RequestType, + params: Params + )( + implicit requestTypeTag: TypeTag[RequestType] + ): Stitch[t.ScoredTweetsResponse] = productPipelineRegistry + .getProductPipeline[RequestType, t.ScoredTweetsResponse](request.product) + .process(ProductPipelineRequest(request, params)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/BUILD.bazel new file mode 100644 index 000000000..89535dbd3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/BUILD.bazel @@ -0,0 +1,17 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "3rdparty/jvm/com/twitter/bijection:scrooge", + "3rdparty/jvm/com/twitter/storehaus:core", + "home-mixer/server/src/main/scala/com/twitter/home_mixer/util", + "src/thrift/com/twitter/service/metastore/gen:thrift-java", + "src/thrift/com/twitter/service/metastore/gen:thrift-scala", + "src/thrift/com/twitter/wtf/candidate:wtf-candidate-scala", + "stitch/stitch-core", + "storage/clients/manhattan/client/src/main/scala", + "timelinemixer/server/src/main/scala/com/twitter/timelinemixer/injection/repository/uss", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/RealGraphInNetworkScoresStore.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/RealGraphInNetworkScoresStore.scala new file mode 100644 index 000000000..ce0b182be --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/RealGraphInNetworkScoresStore.scala @@ -0,0 +1,34 @@ +package com.twitter.home_mixer.store + +import com.twitter.bijection.Injection +import com.twitter.home_mixer.store.ManhattanRealGraphKVDescriptor._ +import com.twitter.stitch.Stitch +import com.twitter.storage.client.manhattan.bijections.Bijections +import com.twitter.storage.client.manhattan.bijections.Bijections.BinaryScalaInjection +import com.twitter.storage.client.manhattan.kv.ManhattanKVEndpoint +import com.twitter.storage.client.manhattan.kv.impl.ReadOnlyKeyDescriptor +import com.twitter.storage.client.manhattan.kv.impl.ValueDescriptor +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future +import com.twitter.wtf.candidate.{thriftscala => wtf} + +object ManhattanRealGraphKVDescriptor { + implicit val byteArray2Buf = Bijections.BytesBijection + + val realGraphDatasetName = "real_graph_scores_in" + val keyInjection = Injection.connect[Long, Array[Byte]].andThen(Bijections.BytesInjection) + val keyDesc = ReadOnlyKeyDescriptor(keyInjection) + val valueDesc = ValueDescriptor(BinaryScalaInjection(wtf.CandidateSeq)) + val realGraphDatasetKey = keyDesc.withDataset(realGraphDatasetName) +} + +/** + * Hydrates real graph in network scores for a viewer + */ +class RealGraphInNetworkScoresStore(manhattanKVEndpoint: ManhattanKVEndpoint) + extends ReadableStore[Long, Seq[wtf.Candidate]] { + + override def get(viewerId: Long): Future[Option[Seq[wtf.Candidate]]] = Stitch + .run(manhattanKVEndpoint.get(realGraphDatasetKey.withPkey(viewerId), valueDesc)) + .map(_.map(mhResponse => mhResponse.contents.candidates)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/UserLanguagesStore.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/UserLanguagesStore.scala new file mode 100644 index 000000000..3f78ddb87 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/store/UserLanguagesStore.scala @@ -0,0 +1,47 @@ +package com.twitter.home_mixer.store + +import com.twitter.bijection.Injection +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.home_mixer.store.ManhattanUserLanguagesKVDescriptor._ +import com.twitter.home_mixer.util.LanguageUtil +import com.twitter.search.common.constants.{thriftscala => scc} +import com.twitter.service.metastore.gen.{thriftscala => smg} +import com.twitter.stitch.Stitch +import com.twitter.storage.client.manhattan.bijections.Bijections +import com.twitter.storage.client.manhattan.kv.ManhattanKVEndpoint +import com.twitter.storage.client.manhattan.kv.ManhattanValue +import com.twitter.storage.client.manhattan.kv.impl.ReadOnlyKeyDescriptor +import com.twitter.storage.client.manhattan.kv.impl.ValueDescriptor +import com.twitter.storehaus.ReadableStore +import com.twitter.util.Future + +object ManhattanUserLanguagesKVDescriptor { + val userLanguagesDatasetName = "languages" + val keyInjection = Injection.connect[Long, Array[Byte]].andThen(Bijections.BytesInjection) + val keyDescriptor = ReadOnlyKeyDescriptor(keyInjection) + val valueDescriptor = ValueDescriptor(Bijections.BinaryScalaInjection(smg.UserLanguages)) + val userLanguagesDatasetKey = keyDescriptor.withDataset(userLanguagesDatasetName) +} + +class UserLanguagesStore( + manhattanKVEndpoint: ManhattanKVEndpoint, + statsReceiver: StatsReceiver) + extends ReadableStore[Long, Seq[scc.ThriftLanguage]] { + + private val scopedStatsReceiver = statsReceiver.scope(getClass.getSimpleName) + private val keyFoundCounter = scopedStatsReceiver.counter("key/found") + private val keyLossCounter = scopedStatsReceiver.counter("key/loss") + + override def get(viewerId: Long): Future[Option[Seq[scc.ThriftLanguage]]] = + Stitch + .run( + manhattanKVEndpoint.get(key = userLanguagesDatasetKey.withPkey(viewerId), valueDescriptor)) + .map { + case Some(mhResponse: ManhattanValue[smg.UserLanguages]) => + keyFoundCounter.incr() + Some(LanguageUtil.computeLanguages(mhResponse.contents)) + case _ => + keyLossCounter.incr() + None + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/BUILD.bazel new file mode 100644 index 000000000..2330dd541 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/BUILD.bazel @@ -0,0 +1,22 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/impressed_tweets", + "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate", + "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation", + "servo/repo/src/main/scala", + "snowflake/src/main/scala/com/twitter/snowflake/id", + "src/java/com/twitter/search/common/util/lang", + "src/scala/com/twitter/ml/api/util", + "src/thrift/com/twitter/search/common:constants-java", + "src/thrift/com/twitter/search/common:constants-scala", + "src/thrift/com/twitter/service/metastore/gen:thrift-java", + "src/thrift/com/twitter/service/metastore/gen:thrift-scala", + "storage/clients/manhattan/client/src/main/scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/CachedScoredTweetsHelper.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/CachedScoredTweetsHelper.scala new file mode 100644 index 000000000..740fd03ec --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/CachedScoredTweetsHelper.scala @@ -0,0 +1,49 @@ +package com.twitter.home_mixer.util + +import com.twitter.home_mixer.model.HomeFeatures.CachedScoredTweetsFeature +import com.twitter.home_mixer.{thriftscala => hmt} +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.common.identifier.CandidatePipelineIdentifier +import com.twitter.snowflake.id.SnowflakeId +import com.twitter.util.Time + +object CachedScoredTweetsHelper { + + def tweetImpressionsAndCachedScoredTweets( + features: FeatureMap, + candidatePipelineIdentifier: CandidatePipelineIdentifier + ): Seq[Long] = { + val tweetImpressions = TweetImpressionsHelper.tweetImpressions(features) + val cachedScoredTweets = features + .getOrElse(CachedScoredTweetsFeature, Seq.empty) + .filter { tweet => + tweet.candidatePipelineIdentifier.exists( + CandidatePipelineIdentifier(_).equals(candidatePipelineIdentifier)) + }.map(_.tweetId) + + (tweetImpressions ++ cachedScoredTweets).toSeq + } + + def tweetImpressionsAndCachedScoredTweetsInRange( + features: FeatureMap, + candidatePipelineIdentifier: CandidatePipelineIdentifier, + maxNumImpressions: Int, + sinceTime: Time, + untilTime: Time + ): Seq[Long] = + tweetImpressionsAndCachedScoredTweets(features, candidatePipelineIdentifier) + .filter { tweetId => + val creationTime = SnowflakeId.timeFromId(tweetId) + sinceTime <= creationTime && untilTime >= creationTime + }.take(maxNumImpressions) + + def unseenCachedScoredTweets( + features: FeatureMap + ): Seq[hmt.CachedScoredTweet] = { + val seenTweetIds = TweetImpressionsHelper.tweetImpressions(features) + + features + .getOrElse(CachedScoredTweetsFeature, Seq.empty) + .filter(tweet => !seenTweetIds.contains(tweet.tweetId)) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/CandidatesUtil.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/CandidatesUtil.scala new file mode 100644 index 000000000..4bf265fd1 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/CandidatesUtil.scala @@ -0,0 +1,105 @@ +package com.twitter.home_mixer.util + +import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature +import com.twitter.home_mixer.model.HomeFeatures.FavoritedByUserIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.HasImageFeature +import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature +import com.twitter.home_mixer.model.HomeFeatures.MediaUnderstandingAnnotationIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.RepliedByEngagerIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.RetweetedByEngagerIdsFeature +import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceTweetIdFeature +import com.twitter.home_mixer.model.HomeFeatures.SourceUserIdFeature +import com.twitter.product_mixer.component_library.model.candidate.CursorCandidate +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures +import com.twitter.product_mixer.core.model.common.UniversalNoun +import com.twitter.product_mixer.core.model.common.presentation.CandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails +import com.twitter.product_mixer.core.model.common.presentation.ModuleCandidateWithDetails +import com.twitter.product_mixer.core.pipeline.PipelineQuery +import com.twitter.product_mixer.core.pipeline.pipeline_failure.PipelineFailure +import com.twitter.product_mixer.core.pipeline.pipeline_failure.UnexpectedCandidateResult + +import scala.reflect.ClassTag + +object CandidatesUtil { + def getItemCandidates(candidates: Seq[CandidateWithDetails]): Seq[ItemCandidateWithDetails] = { + candidates.collect { + case item: ItemCandidateWithDetails if !item.isCandidateType[CursorCandidate] => Seq(item) + case module: ModuleCandidateWithDetails => module.candidates + }.flatten + } + + def getItemCandidatesWithOnlyModuleLast( + candidates: Seq[CandidateWithDetails] + ): Seq[ItemCandidateWithDetails] = { + candidates.collect { + case item: ItemCandidateWithDetails if !item.isCandidateType[CursorCandidate] => item + case module: ModuleCandidateWithDetails => module.candidates.last + } + } + + def containsType[CandidateType <: UniversalNoun[_]]( + candidates: Seq[CandidateWithDetails] + )( + implicit tag: ClassTag[CandidateType] + ): Boolean = candidates.exists { + case ItemCandidateWithDetails(_: CandidateType, _, _) => true + case module: ModuleCandidateWithDetails => + module.candidates.head.isCandidateType[CandidateType]() + case _ => false + } + + def getOriginalAuthorId(candidateFeatures: FeatureMap): Option[Long] = + if (candidateFeatures.getOrElse(IsRetweetFeature, false)) + candidateFeatures.getOrElse(SourceUserIdFeature, None) + else candidateFeatures.getOrElse(AuthorIdFeature, None) + + def getEngagerUserIds( + candidateFeatures: FeatureMap + ): Seq[Long] = { + candidateFeatures.getOrElse(FavoritedByUserIdsFeature, Seq.empty) ++ + candidateFeatures.getOrElse(RetweetedByEngagerIdsFeature, Seq.empty) ++ + candidateFeatures.getOrElse(RepliedByEngagerIdsFeature, Seq.empty) + } + + def getMediaUnderstandingAnnotationIds( + candidateFeatures: FeatureMap + ): Seq[Long] = { + if (candidateFeatures.get(HasImageFeature)) + candidateFeatures.getOrElse(MediaUnderstandingAnnotationIdsFeature, Seq.empty) + else Seq.empty + } + + def getTweetIdAndSourceId(candidate: CandidateWithFeatures[TweetCandidate]): Seq[Long] = + Seq(candidate.candidate.id) ++ candidate.features.getOrElse(SourceTweetIdFeature, None) + + def isAuthoredByViewer(query: PipelineQuery, candidateFeatures: FeatureMap): Boolean = + candidateFeatures.getOrElse(AuthorIdFeature, None).contains(query.getRequiredUserId) || + (candidateFeatures.getOrElse(IsRetweetFeature, false) && + candidateFeatures.getOrElse(SourceUserIdFeature, None).contains(query.getRequiredUserId)) + + val reverseChronTweetsOrdering: Ordering[CandidateWithDetails] = + Ordering.by[CandidateWithDetails, Long] { + case ItemCandidateWithDetails(candidate: TweetCandidate, _, _) => -candidate.id + case ModuleCandidateWithDetails(candidates, _, _) if candidates.nonEmpty => + -candidates.last.candidateIdLong + case _ => throw PipelineFailure(UnexpectedCandidateResult, "Invalid candidate type") + } + + val scoreOrdering: Ordering[CandidateWithDetails] = Ordering.by[CandidateWithDetails, Double] { + case ItemCandidateWithDetails(_, _, features) => + -features.getOrElse(ScoreFeature, None).getOrElse(0.0) + case ModuleCandidateWithDetails(candidates, _, _) => + -candidates.last.features.getOrElse(ScoreFeature, None).getOrElse(0.0) + case _ => throw PipelineFailure(UnexpectedCandidateResult, "Invalid candidate type") + } + + val conversationModuleTweetsOrdering: Ordering[CandidateWithDetails] = + Ordering.by[CandidateWithDetails, Long] { + case ItemCandidateWithDetails(candidate: TweetCandidate, _, _) => candidate.id + case _ => throw PipelineFailure(UnexpectedCandidateResult, "Only Item candidate expected") + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/InjectionTransformer.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/InjectionTransformer.scala new file mode 100644 index 000000000..f45102f37 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/InjectionTransformer.scala @@ -0,0 +1,43 @@ +package com.twitter.home_mixer.util + +import com.twitter.bijection.Injection +import com.twitter.io.Buf +import com.twitter.servo.util.Transformer +import com.twitter.storage.client.manhattan.bijections.Bijections +import com.twitter.util.Return +import com.twitter.util.Try +import java.nio.ByteBuffer + +object InjectionTransformerImplicits { + implicit class ByteArrayInjectionToByteBufferTransformer[A](baInj: Injection[A, Array[Byte]]) { + + private val bbInj: Injection[A, ByteBuffer] = baInj + .andThen(Bijections.byteArray2Buf) + .andThen(Bijections.byteBuffer2Buf.inverse) + + def toByteBufferTransformer(): Transformer[A, ByteBuffer] = new InjectionTransformer(bbInj) + def toByteArrayTransformer(): Transformer[A, Array[Byte]] = new InjectionTransformer(baInj) + } + + implicit class BufInjectionToByteBufferTransformer[A](bufInj: Injection[A, Buf]) { + + private val bbInj: Injection[A, ByteBuffer] = bufInj.andThen(Bijections.byteBuffer2Buf.inverse) + private val baInj: Injection[A, Array[Byte]] = bufInj.andThen(Bijections.byteArray2Buf.inverse) + + def toByteBufferTransformer(): Transformer[A, ByteBuffer] = new InjectionTransformer(bbInj) + def toByteArrayTransformer(): Transformer[A, Array[Byte]] = new InjectionTransformer(baInj) + } + + implicit class ByteBufferInjectionToByteBufferTransformer[A](bbInj: Injection[A, ByteBuffer]) { + + private val baInj: Injection[A, Array[Byte]] = bbInj.andThen(Bijections.bb2ba) + + def toByteBufferTransformer(): Transformer[A, ByteBuffer] = new InjectionTransformer(bbInj) + def toByteArrayTransformer(): Transformer[A, Array[Byte]] = new InjectionTransformer(baInj) + } +} + +class InjectionTransformer[A, B](inj: Injection[A, B]) extends Transformer[A, B] { + override def to(a: A): Try[B] = Return(inj(a)) + override def from(b: B): Try[A] = Try.fromScala(inj.invert(b)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/LanguageUtil.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/LanguageUtil.scala new file mode 100644 index 000000000..3969ef64d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/LanguageUtil.scala @@ -0,0 +1,93 @@ +package com.twitter.home_mixer.util + +import com.twitter.search.common.constants.{thriftscala => scc} +import com.twitter.search.common.util.lang.ThriftLanguageUtil +import com.twitter.service.metastore.gen.{thriftscala => smg} + +object LanguageUtil { + + private val DafaultMinProducedLanguageRatio = 0.05 + private val DefaultMinConsumedLanguageConfidence = 0.8 + + /** + * Computes a list of languages based on UserLanguages information retrieved from Metastore. + * + * The list is sorted in descending order of confidence score associated with each language. + * That is, language with highest confidence value is in index 0. + */ + def computeLanguages( + userLanguages: smg.UserLanguages, + minProducedLanguageRatio: Double = DafaultMinProducedLanguageRatio, + minConsumedLanguageConfidence: Double = DefaultMinConsumedLanguageConfidence + ): Seq[scc.ThriftLanguage] = { + val languageConfidenceMap = computeLanguageConfidenceMap( + userLanguages, + minProducedLanguageRatio, + minConsumedLanguageConfidence + ) + languageConfidenceMap.toSeq.sortWith(_._2 > _._2).map(_._1) // _1 = language, _2 = score + } + + /** + * Computes confidence map based on UserLanguages information retrieved from Metastore. + * where, + * key = language code + * value = level of confidence that the language is applicable to a user. + */ + private def computeLanguageConfidenceMap( + userLanguages: smg.UserLanguages, + minProducedLanguageRatio: Double, + minConsumedLanguageConfidence: Double + ): Map[scc.ThriftLanguage, Double] = { + + val producedLanguages = getLanguageMap(userLanguages.produced) + val consumedLanguages = getLanguageMap(userLanguages.consumed) + val languages = (producedLanguages.keys ++ consumedLanguages.keys).toSet + var maxConfidence = 0.0 + + val confidenceMap = languages.map { language => + val produceRatio = producedLanguages + .get(language) + .map { score => if (score < minProducedLanguageRatio) 0.0 else score } + .getOrElse(0.0) + + val consumeConfidence = consumedLanguages + .get(language) + .map { score => if (score < minConsumedLanguageConfidence) 0.0 else score } + .getOrElse(0.0) + + val overallConfidence = (0.3 + 4 * produceRatio) * (0.1 + consumeConfidence) + maxConfidence = Math.max(maxConfidence, overallConfidence) + + (language -> overallConfidence) + }.toMap + + val normalizedConfidenceMap = if (maxConfidence > 0) { + confidenceMap.map { + case (language, confidenceScore) => + val normalizedScore = (confidenceScore / maxConfidence * 0.9) + 0.1 + (language -> normalizedScore) + } + } else { + confidenceMap + } + normalizedConfidenceMap + } + + private def getLanguageMap( + scoredLanguages: Seq[smg.ScoredString] + ): Map[scc.ThriftLanguage, Double] = { + scoredLanguages.flatMap { scoredLanguage => + getThriftLanguage(scoredLanguage.item).map { language => (language -> scoredLanguage.weight) } + }.toMap + } + + private def getThriftLanguage(languageName: String): Option[scc.ThriftLanguage] = { + val languageOrdinal = ThriftLanguageUtil.getThriftLanguageOf(languageName).ordinal + val language = scc.ThriftLanguage(languageOrdinal) + language match { + case scc.ThriftLanguage.Unknown => None + case _ => Some(language) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/MissingKeyException.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/MissingKeyException.scala new file mode 100644 index 000000000..ae8fd4ded --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/MissingKeyException.scala @@ -0,0 +1,5 @@ +package com.twitter.home_mixer.util + +object MissingKeyException extends Exception("Missing key") { + override def toString: String = getMessage +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/ObservedKeyValueResultHandler.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/ObservedKeyValueResultHandler.scala new file mode 100644 index 000000000..0cd0cd60b --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/ObservedKeyValueResultHandler.scala @@ -0,0 +1,43 @@ +package com.twitter.home_mixer.util + +import com.twitter.finagle.stats.StatsReceiver +import com.twitter.servo.keyvalue.KeyValueResult +import com.twitter.util.Return +import com.twitter.util.Throw +import com.twitter.util.Try + +trait ObservedKeyValueResultHandler { + val statsReceiver: StatsReceiver + val statScope: String + + private lazy val scopedStatsReceiver = statsReceiver.scope(statScope) + private lazy val keyTotalCounter = scopedStatsReceiver.counter("key/total") + private lazy val keyFoundCounter = scopedStatsReceiver.counter("key/found") + private lazy val keyLossCounter = scopedStatsReceiver.counter("key/loss") + private lazy val keyFailureCounter = scopedStatsReceiver.counter("key/failure") + + def observedGet[K, V]( + key: Option[K], + keyValueResult: KeyValueResult[K, V], + ): Try[Option[V]] = { + if (key.nonEmpty) { + keyTotalCounter.incr() + keyValueResult(key.get) match { + case Return(Some(value)) => + keyFoundCounter.incr() + Return(Some(value)) + case Return(None) => + keyLossCounter.incr() + Return(None) + case Throw(exception) => + keyFailureCounter.incr() + Throw(exception) + case _ => + // never reaches here + Return(None) + } + } else { + Throw(MissingKeyException) + } + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/ReplyRetweetUtil.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/ReplyRetweetUtil.scala new file mode 100644 index 000000000..13758ec5d --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/ReplyRetweetUtil.scala @@ -0,0 +1,120 @@ +package com.twitter.home_mixer.util + +import com.twitter.home_mixer.model.HomeFeatures._ +import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate +import com.twitter.product_mixer.core.model.common.CandidateWithFeatures + +object ReplyRetweetUtil { + + def isEligibleReply(candidate: CandidateWithFeatures[TweetCandidate]): Boolean = { + candidate.features.getOrElse(InReplyToTweetIdFeature, None).nonEmpty && + !candidate.features.getOrElse(IsRetweetFeature, false) + } + + /** + * Builds a map from reply tweet to all ancestors that are also hydrated candidates. If a reply + * does not have any ancestors which are also candidates, it will not add to the returned Map. + * Make sure ancestors are bottom-up ordered such that: + * (1) if parent tweet is a candidate, it should be the first item at the returned ancestors; + * (2) if root tweet is a candidate, it should be the last item at the returned ancestors. + * Retweets of replies or replies to retweets are not included. + */ + def replyToAncestorTweetCandidatesMap( + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Map[Long, Seq[CandidateWithFeatures[TweetCandidate]]] = { + val replyToAncestorTweetIdsMap: Map[Long, Seq[Long]] = + candidates.flatMap { candidate => + if (isEligibleReply(candidate)) { + val ancestorIds = + if (candidate.features.getOrElse(AncestorsFeature, Seq.empty).nonEmpty) { + candidate.features.getOrElse(AncestorsFeature, Seq.empty).map(_.tweetId) + } else { + Seq( + candidate.features.getOrElse(InReplyToTweetIdFeature, None), + candidate.features.getOrElse(ConversationModuleIdFeature, None) + ).flatten.distinct + } + Some(candidate.candidate.id -> ancestorIds) + } else { + None + } + }.toMap + + val ancestorTweetIds = replyToAncestorTweetIdsMap.values.flatten.toSet + val ancestorTweetsMapById: Map[Long, CandidateWithFeatures[TweetCandidate]] = candidates + .filter { maybeAncestor => + ancestorTweetIds.contains(maybeAncestor.candidate.id) + }.map { ancestor => + ancestor.candidate.id -> ancestor + }.toMap + + replyToAncestorTweetIdsMap + .mapValues { ancestorTweetIds => + ancestorTweetIds.flatMap { ancestorTweetId => + ancestorTweetsMapById.get(ancestorTweetId) + } + }.filter { + case (reply, ancestors) => + ancestors.nonEmpty + } + } + + /** + * This map is the opposite of [[replyToAncestorTweetCandidatesMap]]. + * Builds a map from ancestor tweet to all descendant replies that are also hydrated candidates. + * Currently, we only return two ancestors at most: one is inReplyToTweetId and the other + * is conversationId. + * Retweets of replies are not included. + */ + def ancestorTweetIdToDescendantRepliesMap( + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Map[Long, Seq[CandidateWithFeatures[TweetCandidate]]] = { + val tweetToCandidateMap = candidates.map(c => c.candidate.id -> c).toMap + replyToAncestorTweetCandidatesMap(candidates).toSeq + .flatMap { + case (reply, ancestorTweets) => + ancestorTweets.map { ancestor => + (ancestor.candidate.id, reply) + } + }.groupBy { case (ancestor, reply) => ancestor } + .mapValues { ancestorReplyPairs => + ancestorReplyPairs.map(_._2).distinct + }.mapValues(tweetIds => tweetIds.map(tid => tweetToCandidateMap(tid))) + } + + /** + * Builds a map from reply tweet to inReplyToTweet which is also a candidate. + * Retweets of replies or replies to retweets are not included + */ + def replyTweetIdToInReplyToTweetMap( + candidates: Seq[CandidateWithFeatures[TweetCandidate]] + ): Map[Long, CandidateWithFeatures[TweetCandidate]] = { + val eligibleReplyCandidates = candidates.filter { candidate => + isEligibleReply(candidate) && candidate.features + .getOrElse(InReplyToTweetIdFeature, None) + .nonEmpty + } + + val inReplyToTweetIds = eligibleReplyCandidates + .flatMap(_.features.getOrElse(InReplyToTweetIdFeature, None)) + .toSet + + val inReplyToTweetIdToTweetMap: Map[Long, CandidateWithFeatures[TweetCandidate]] = candidates + .filter { maybeInReplyToTweet => + inReplyToTweetIds.contains(maybeInReplyToTweet.candidate.id) + }.map { inReplyToTweet => + inReplyToTweet.candidate.id -> inReplyToTweet + }.toMap + + eligibleReplyCandidates.flatMap { reply => + val inReplyToTweetId = reply.features.getOrElse(InReplyToTweetIdFeature, None) + if (inReplyToTweetId.nonEmpty) { + inReplyToTweetIdToTweetMap.get(inReplyToTweetId.get).map { inReplyToTweet => + reply.candidate.id -> inReplyToTweet + } + } else { + None + } + }.toMap + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/TensorFlowUtil.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/TensorFlowUtil.scala new file mode 100644 index 000000000..05d7c2127 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/TensorFlowUtil.scala @@ -0,0 +1,32 @@ +package com.twitter.home_mixer.util + +import com.twitter.ml.api.thriftscala.FloatTensor +import com.twitter.ml.api.util.BufferToIterators.RichFloatBuffer +import java.nio.ByteBuffer +import java.nio.ByteOrder + +/** + * Contains functionality to transform data records and Tensors + */ + +object TensorFlowUtil { + + private def skipEmbeddingBBHeader(bb: ByteBuffer): ByteBuffer = { + val bb_copy = bb.duplicate() + bb_copy.getLong() + bb_copy + } + + private def byteBufferToFloatIterator( + bb: ByteBuffer + ): Iterator[Float] = { + bb.order(ByteOrder.LITTLE_ENDIAN).asFloatBuffer.iterator + } + + def embeddingByteBufferToFloatTensor( + bb: ByteBuffer + ): FloatTensor = { + val bb_content = skipEmbeddingBBHeader(bb) + FloatTensor(byteBufferToFloatIterator(bb_content).map(_.toDouble).toList) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/TweetImpressionsHelper.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/TweetImpressionsHelper.scala new file mode 100644 index 000000000..eabaac9e3 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/TweetImpressionsHelper.scala @@ -0,0 +1,15 @@ +package com.twitter.home_mixer.util + +import com.twitter.home_mixer.model.HomeFeatures.TweetImpressionsFeature +import com.twitter.product_mixer.component_library.feature_hydrator.query.impressed_tweets.ImpressedTweets +import com.twitter.product_mixer.core.feature.featuremap.FeatureMap + +object TweetImpressionsHelper { + def tweetImpressions(features: FeatureMap): Set[Long] = { + val manhattanImpressions = + features.getOrElse(TweetImpressionsFeature, Seq.empty).flatMap(_.tweetIds) + val memcacheImpressions = features.getOrElse(ImpressedTweets, Seq.empty) + + (manhattanImpressions ++ memcacheImpressions).toSet + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/BUILD.bazel new file mode 100644 index 000000000..0ca1f89aa --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/BUILD.bazel @@ -0,0 +1,18 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/thrift/src/main/thrift:thrift-scala", + "src/java/com/twitter/search/common/schema/base", + "src/java/com/twitter/search/common/schema/earlybird", + "src/java/com/twitter/search/common/util/lang", + "src/java/com/twitter/search/queryparser/query:core-query-nodes", + "src/java/com/twitter/search/queryparser/query/search:search-query-nodes", + "src/thrift/com/twitter/search:earlybird-scala", + "src/thrift/com/twitter/search/common:constants-scala", + "src/thrift/com/twitter/search/common:query-scala", + "src/thrift/com/twitter/search/common:ranking-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/EarlybirdRequestUtil.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/EarlybirdRequestUtil.scala new file mode 100644 index 000000000..19df02a20 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/EarlybirdRequestUtil.scala @@ -0,0 +1,58 @@ +package com.twitter.home_mixer.util.earlybird + +import com.twitter.conversions.DurationOps._ +import com.twitter.search.common.query.thriftjava.{thriftscala => scq} +import com.twitter.search.earlybird.{thriftscala => eb} +import com.twitter.util.Duration + +object EarlybirdRequestUtil { + + // If no EarlybirdOptions.maxNumHitsPerShard is set then default to this value. + val DefaultMaxHitsToProcess = 1000 + val DefaultSearchProcessingTimeout: Duration = 200.milliseconds + val DefaultMaxNumResultsPerShard = 100 + val DeafultCollectorParams = scq.CollectorParams( + // numResultsToReturn defines how many results each EB shard will return to search root + numResultsToReturn = DefaultMaxNumResultsPerShard, + // terminationParams.maxHitsToProcess is used for early terminating per shard results fetching. + terminationParams = Some( + scq.CollectorTerminationParams( + maxHitsToProcess = Some(DefaultMaxHitsToProcess), + timeoutMs = DefaultSearchProcessingTimeout.inMilliseconds.toInt + )) + ) + + def getTweetsEBFeaturesRequest( + userId: Option[Long], + tweetIds: Option[Seq[Long]], + clientId: Option[String], + getTweetsFromArchiveIndex: Boolean = false, + getOnlyProtectedTweets: Boolean = false, + ): eb.EarlybirdRequest = { + + val candidateSize = tweetIds.getOrElse(Seq.empty).size + val thriftQuery = eb.ThriftSearchQuery( + numResults = candidateSize, + collectConversationId = true, + rankingMode = eb.ThriftSearchRankingMode.Relevance, + relevanceOptions = Some(RelevanceSearchUtil.RelevanceOptions), + collectorParams = Some(DeafultCollectorParams), + facetFieldNames = Some(RelevanceSearchUtil.FacetsToFetch), + resultMetadataOptions = Some(RelevanceSearchUtil.MetadataOptions), + searcherId = userId, + searchStatusIds = tweetIds.map(_.toSet), + ) + + eb.EarlybirdRequest( + searchQuery = thriftQuery, + clientId = clientId, + getOlderResults = Some(getTweetsFromArchiveIndex), + getProtectedTweetsOnly = Some(getOnlyProtectedTweets), + timeoutMs = DefaultSearchProcessingTimeout.inMilliseconds.toInt, + skipVeryRecentTweets = true, + // This param decides # of tweets to return from search superRoot and realtime/protected/Archive roots. + // It takes higher precedence than ThriftSearchQuery.numResults + numResultsToReturnAtRoot = Some(candidateSize) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/EarlybirdResponseUtil.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/EarlybirdResponseUtil.scala new file mode 100644 index 000000000..fb52e9689 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/EarlybirdResponseUtil.scala @@ -0,0 +1,369 @@ +package com.twitter.home_mixer.util.earlybird + +import com.twitter.search.common.constants.{thriftscala => scc} +import com.twitter.search.common.features.{thriftscala => sc} +import com.twitter.search.common.schema.earlybird.EarlybirdFieldConstants.EarlybirdFieldConstant +import com.twitter.search.common.schema.earlybird.EarlybirdFieldConstants.EarlybirdFieldConstant._ +import com.twitter.search.common.util.lang.ThriftLanguageUtil +import com.twitter.search.earlybird.{thriftscala => eb} + +object EarlybirdResponseUtil { + + private[earlybird] val Mentions: String = "mentions" + private[earlybird] val Hashtags: String = "hashtags" + private val CharsToRemoveFromMentions: Set[Char] = "@".toSet + private val CharsToRemoveFromHashtags: Set[Char] = "#".toSet + + // Default value of settings of ThriftTweetFeatures. + private[earlybird] val DefaultEarlybirdFeatures: sc.ThriftTweetFeatures = sc.ThriftTweetFeatures() + private[earlybird] val DefaultCount = 0 + private[earlybird] val DefaultLanguage = 0 + private[earlybird] val DefaultScore = 0.0 + + private[earlybird] def getTweetCountByAuthorId( + searchResults: Seq[eb.ThriftSearchResult] + ): Map[Long, Int] = { + searchResults + .groupBy { result => + result.metadata.map(_.fromUserId).getOrElse(0L) + }.mapValues(_.size).withDefaultValue(0) + } + + private[earlybird] def getLanguage(uiLanguageCode: Option[String]): Option[scc.ThriftLanguage] = { + uiLanguageCode.flatMap { languageCode => + scc.ThriftLanguage.get(ThriftLanguageUtil.getThriftLanguageOf(languageCode).getValue) + } + } + + private def getMentions(result: eb.ThriftSearchResult): Seq[String] = { + val facetLabels = result.metadata.flatMap(_.facetLabels).getOrElse(Seq.empty) + getFacets(facetLabels, Mentions, CharsToRemoveFromMentions) + } + + private def getHashtags(result: eb.ThriftSearchResult): Seq[String] = { + val facetLabels = result.metadata.flatMap(_.facetLabels).getOrElse(Seq.empty) + getFacets(facetLabels, Hashtags, CharsToRemoveFromHashtags) + } + + private def getFacets( + facetLabels: Seq[eb.ThriftFacetLabel], + facetName: String, + charsToRemove: Set[Char] + ): Seq[String] = { + facetLabels.filter(_.fieldName == facetName).map(_.label.filterNot(charsToRemove)) + } + + private def isUserMentioned( + screenName: Option[String], + mentions: Seq[String] + ): Boolean = { + screenName + .exists { screenName => mentions.exists(_.equalsIgnoreCase(screenName)) } + } + + private[earlybird] def isUsersMainLanguage( + tweetLanguage: scc.ThriftLanguage, + userLanguages: Seq[scc.ThriftLanguage] + ): Boolean = { + (tweetLanguage != scc.ThriftLanguage.Unknown) && userLanguages.headOption.contains( + tweetLanguage) + } + + private[earlybird] def isUsersLanguage( + tweetLanguage: scc.ThriftLanguage, + userLanguages: Seq[scc.ThriftLanguage] + ): Boolean = { + (tweetLanguage != scc.ThriftLanguage.Unknown) && userLanguages.contains(tweetLanguage) + } + + private[earlybird] def isUILanguage( + tweetLanguage: scc.ThriftLanguage, + uiLanguage: Option[scc.ThriftLanguage] + ): Boolean = { + (tweetLanguage != scc.ThriftLanguage.Unknown) && uiLanguage.contains(tweetLanguage) + } + + private def getBooleanOptFeature( + featureName: EarlybirdFieldConstant, + resultMapOpt: Option[scala.collection.Map[Int, Boolean]], + defaultValue: Boolean = false, + ): Option[Boolean] = { + resultMapOpt.map { + _.getOrElse(featureName.getFieldId, defaultValue) + } + } + + private def getDoubleAsIntOptFeature( + featureName: EarlybirdFieldConstant, + resultMapOpt: Option[scala.collection.Map[Int, Double]] + ): Option[Int] = { + if (resultMapOpt.exists(_.contains(featureName.getFieldId))) + resultMapOpt + .map { + _.get(featureName.getFieldId) + } + .flatMap { doubleValue => + doubleValue.map(_.toInt) + } + else + None + } + + private def getIntOptFeature( + featureName: EarlybirdFieldConstant, + resultMapOpt: Option[scala.collection.Map[Int, Int]] + ): Option[Int] = { + if (resultMapOpt.exists(_.contains(featureName.getFieldId))) + resultMapOpt.flatMap { + _.get(featureName.getFieldId) + } + else + None + } + + def getOONTweetThriftFeaturesByTweetId( + searcherUserId: Long, + screenName: Option[String], + userLanguages: Seq[scc.ThriftLanguage], + uiLanguageCode: Option[String] = None, + searchResults: Seq[eb.ThriftSearchResult], + ): Map[Long, sc.ThriftTweetFeatures] = { + + searchResults.map { searchResult => + val features = getOONThriftTweetFeaturesFromSearchResult( + searcherUserId, + screenName, + userLanguages, + getLanguage(uiLanguageCode), + getTweetCountByAuthorId(searchResults), + searchResult + ) + (searchResult.id -> features) + }.toMap + } + + private[earlybird] def getOONThriftTweetFeaturesFromSearchResult( + searcherUserId: Long, + screenName: Option[String], + userLanguages: Seq[scc.ThriftLanguage], + uiLanguage: Option[scc.ThriftLanguage], + tweetCountByAuthorId: Map[Long, Int], + searchResult: eb.ThriftSearchResult + ): sc.ThriftTweetFeatures = { + val applyFeatures = (applyUserIndependentFeatures( + searchResult + )(_)).andThen( + applyOONUserDependentFeatures( + searcherUserId, + screenName, + userLanguages, + uiLanguage, + tweetCountByAuthorId, + searchResult + )(_) + ) + val tweetFeatures = searchResult.tweetFeatures.getOrElse(DefaultEarlybirdFeatures) + applyFeatures(tweetFeatures) + } + + private[earlybird] def applyUserIndependentFeatures( + result: eb.ThriftSearchResult + )( + thriftTweetFeatures: sc.ThriftTweetFeatures + ): sc.ThriftTweetFeatures = { + + val features = result.metadata + .map { metadata => + val isRetweet = metadata.isRetweet.getOrElse(false) + val isReply = metadata.isReply.getOrElse(false) + + // Facets. + val mentions = getMentions(result) + val hashtags = getHashtags(result) + + val searchResultSchemaFeatures = metadata.extraMetadata.flatMap(_.features) + val booleanSearchResultSchemaFeatures = searchResultSchemaFeatures.flatMap(_.boolValues) + val intSearchResultSchemaFeatures = searchResultSchemaFeatures.flatMap(_.intValues) + val doubleSearchResultSchemaFeatures = searchResultSchemaFeatures.flatMap(_.doubleValues) + + thriftTweetFeatures.copy( + // Info about the Tweet. + isRetweet = isRetweet, + isOffensive = metadata.isOffensive.getOrElse(false), + isReply = isReply, + fromVerifiedAccount = metadata.fromVerifiedAccount.getOrElse(false), + cardType = metadata.cardType, + signature = metadata.signature, + language = metadata.language, + isAuthorNSFW = metadata.isUserNSFW.getOrElse(false), + isAuthorBot = metadata.isUserBot.getOrElse(false), + isAuthorSpam = metadata.isUserSpam.getOrElse(false), + isSensitiveContent = + metadata.extraMetadata.flatMap(_.isSensitiveContent).getOrElse(false), + isAuthorProfileEgg = metadata.extraMetadata.flatMap(_.profileIsEggFlag).getOrElse(false), + isAuthorNew = metadata.extraMetadata.flatMap(_.isUserNewFlag).getOrElse(false), + linkLanguage = metadata.extraMetadata.flatMap(_.linkLanguage).getOrElse(DefaultLanguage), + // Info about Tweet content/media. + hasCard = metadata.hasCard.getOrElse(false), + hasImage = metadata.hasImage.getOrElse(false), + hasNews = metadata.hasNews.getOrElse(false), + hasVideo = metadata.hasVideo.getOrElse(false), + hasConsumerVideo = metadata.hasConsumerVideo.getOrElse(false), + hasProVideo = metadata.hasProVideo.getOrElse(false), + hasVine = metadata.hasVine.getOrElse(false), + hasPeriscope = metadata.hasPeriscope.getOrElse(false), + hasNativeVideo = metadata.hasNativeVideo.getOrElse(false), + hasNativeImage = metadata.hasNativeImage.getOrElse(false), + hasLink = metadata.hasLink.getOrElse(false), + hasVisibleLink = metadata.hasVisibleLink.getOrElse(false), + hasTrend = metadata.hasTrend.getOrElse(false), + hasMultipleHashtagsOrTrends = metadata.hasMultipleHashtagsOrTrends.getOrElse(false), + hasQuote = metadata.extraMetadata.flatMap(_.hasQuote), + urlsList = metadata.tweetUrls.map { + _.map(_.originalUrl) + }, + hasMultipleMedia = + metadata.extraMetadata.flatMap(_.hasMultipleMediaFlag).getOrElse(false), + visibleTokenRatio = getIntOptFeature(VISIBLE_TOKEN_RATIO, intSearchResultSchemaFeatures), + // Various counts. + favCount = metadata.favCount.getOrElse(DefaultCount), + replyCount = metadata.replyCount.getOrElse(DefaultCount), + retweetCount = metadata.retweetCount.getOrElse(DefaultCount), + quoteCount = metadata.extraMetadata.flatMap(_.quotedCount), + embedsImpressionCount = metadata.embedsImpressionCount.getOrElse(DefaultCount), + embedsUrlCount = metadata.embedsUrlCount.getOrElse(DefaultCount), + videoViewCount = metadata.videoViewCount.getOrElse(DefaultCount), + numMentions = metadata.extraMetadata.flatMap(_.numMentions).getOrElse(DefaultCount), + numHashtags = metadata.extraMetadata.flatMap(_.numHashtags).getOrElse(DefaultCount), + favCountV2 = metadata.extraMetadata.flatMap(_.favCountV2), + replyCountV2 = metadata.extraMetadata.flatMap(_.replyCountV2), + retweetCountV2 = metadata.extraMetadata.flatMap(_.retweetCountV2), + weightedFavoriteCount = metadata.extraMetadata.flatMap(_.weightedFavCount), + weightedReplyCount = metadata.extraMetadata.flatMap(_.weightedReplyCount), + weightedRetweetCount = metadata.extraMetadata.flatMap(_.weightedRetweetCount), + weightedQuoteCount = metadata.extraMetadata.flatMap(_.weightedQuoteCount), + embedsImpressionCountV2 = + getDoubleAsIntOptFeature(EMBEDS_IMPRESSION_COUNT_V2, doubleSearchResultSchemaFeatures), + embedsUrlCountV2 = + getDoubleAsIntOptFeature(EMBEDS_URL_COUNT_V2, doubleSearchResultSchemaFeatures), + decayedFavoriteCount = + getDoubleAsIntOptFeature(DECAYED_FAVORITE_COUNT, doubleSearchResultSchemaFeatures), + decayedRetweetCount = + getDoubleAsIntOptFeature(DECAYED_RETWEET_COUNT, doubleSearchResultSchemaFeatures), + decayedReplyCount = + getDoubleAsIntOptFeature(DECAYED_REPLY_COUNT, doubleSearchResultSchemaFeatures), + decayedQuoteCount = + getDoubleAsIntOptFeature(DECAYED_QUOTE_COUNT, doubleSearchResultSchemaFeatures), + fakeFavoriteCount = + getDoubleAsIntOptFeature(FAKE_FAVORITE_COUNT, doubleSearchResultSchemaFeatures), + fakeRetweetCount = + getDoubleAsIntOptFeature(FAKE_RETWEET_COUNT, doubleSearchResultSchemaFeatures), + fakeReplyCount = + getDoubleAsIntOptFeature(FAKE_REPLY_COUNT, doubleSearchResultSchemaFeatures), + fakeQuoteCount = + getDoubleAsIntOptFeature(FAKE_QUOTE_COUNT, doubleSearchResultSchemaFeatures), + // Scores. + textScore = metadata.textScore.getOrElse(DefaultScore), + earlybirdScore = metadata.score.getOrElse(DefaultScore), + parusScore = metadata.parusScore.getOrElse(DefaultScore), + userRep = metadata.userRep.getOrElse(DefaultScore), + pBlockScore = metadata.extraMetadata.flatMap(_.pBlockScore), + toxicityScore = metadata.extraMetadata.flatMap(_.toxicityScore), + pSpammyTweetScore = metadata.extraMetadata.flatMap(_.pSpammyTweetScore), + pReportedTweetScore = metadata.extraMetadata.flatMap(_.pReportedTweetScore), + pSpammyTweetContent = metadata.extraMetadata.flatMap(_.spammyTweetContentScore), + // Safety Signals + labelAbusiveFlag = + getBooleanOptFeature(LABEL_ABUSIVE_FLAG, booleanSearchResultSchemaFeatures), + labelAbusiveHiRclFlag = + getBooleanOptFeature(LABEL_ABUSIVE_HI_RCL_FLAG, booleanSearchResultSchemaFeatures), + labelDupContentFlag = + getBooleanOptFeature(LABEL_DUP_CONTENT_FLAG, booleanSearchResultSchemaFeatures), + labelNsfwHiPrcFlag = + getBooleanOptFeature(LABEL_NSFW_HI_PRC_FLAG, booleanSearchResultSchemaFeatures), + labelNsfwHiRclFlag = + getBooleanOptFeature(LABEL_NSFW_HI_RCL_FLAG, booleanSearchResultSchemaFeatures), + labelSpamFlag = getBooleanOptFeature(LABEL_SPAM_FLAG, booleanSearchResultSchemaFeatures), + labelSpamHiRclFlag = + getBooleanOptFeature(LABEL_SPAM_HI_RCL_FLAG, booleanSearchResultSchemaFeatures), + // Periscope Features + periscopeExists = + getBooleanOptFeature(PERISCOPE_EXISTS, booleanSearchResultSchemaFeatures), + periscopeHasBeenFeatured = + getBooleanOptFeature(PERISCOPE_HAS_BEEN_FEATURED, booleanSearchResultSchemaFeatures), + periscopeIsCurrentlyFeatured = getBooleanOptFeature( + PERISCOPE_IS_CURRENTLY_FEATURED, + booleanSearchResultSchemaFeatures), + periscopeIsFromQualitySource = getBooleanOptFeature( + PERISCOPE_IS_FROM_QUALITY_SOURCE, + booleanSearchResultSchemaFeatures), + periscopeIsLive = + getBooleanOptFeature(PERISCOPE_IS_LIVE, booleanSearchResultSchemaFeatures), + // Last Engagement Features + lastFavSinceCreationHrs = + getIntOptFeature(LAST_FAVORITE_SINCE_CREATION_HRS, intSearchResultSchemaFeatures), + lastRetweetSinceCreationHrs = + getIntOptFeature(LAST_RETWEET_SINCE_CREATION_HRS, intSearchResultSchemaFeatures), + lastReplySinceCreationHrs = + getIntOptFeature(LAST_REPLY_SINCE_CREATION_HRS, intSearchResultSchemaFeatures), + lastQuoteSinceCreationHrs = + getIntOptFeature(LAST_QUOTE_SINCE_CREATION_HRS, intSearchResultSchemaFeatures), + likedByUserIds = metadata.extraMetadata.flatMap(_.likedByUserIds), + mentionsList = if (mentions.nonEmpty) Some(mentions) else None, + hashtagsList = if (hashtags.nonEmpty) Some(hashtags) else None, + isComposerSourceCamera = + getBooleanOptFeature(COMPOSER_SOURCE_IS_CAMERA_FLAG, booleanSearchResultSchemaFeatures), + ) + } + .getOrElse(thriftTweetFeatures) + + if (result.tweetSource.contains(eb.ThriftTweetSource.RealtimeProtectedCluster)) { + features.copy(isProtected = true) + } else { + features + } + } + + // Omitting inNetwork features e.g source tweet features and follow graph. + // Can be expanded to include InNetwork in the future. + def applyOONUserDependentFeatures( + searcherUserId: Long, + screenName: Option[String], + userLanguages: Seq[scc.ThriftLanguage], + uiLanguage: Option[scc.ThriftLanguage], + tweetCountByAuthorId: Map[Long, Int], + result: eb.ThriftSearchResult + )( + thriftTweetFeatures: sc.ThriftTweetFeatures + ): sc.ThriftTweetFeatures = { + result.metadata + .map { metadata => + val isRetweet = metadata.isRetweet.getOrElse(false) + val isReply = metadata.isReply.getOrElse(false) + val replyToSearcher = isReply && (metadata.referencedTweetAuthorId == searcherUserId) + val replyOther = isReply && !replyToSearcher + val retweetOther = isRetweet && (metadata.referencedTweetAuthorId != searcherUserId) + val tweetLanguage = metadata.language.getOrElse(scc.ThriftLanguage.Unknown) + + thriftTweetFeatures.copy( + // Info about the Tweet. + fromSearcher = metadata.fromUserId == searcherUserId, + probablyFromFollowedAuthor = false, + fromMutualFollow = false, + replySearcher = replyToSearcher, + replyOther = replyOther, + retweetOther = retweetOther, + mentionSearcher = isUserMentioned(screenName, getMentions(result)), + // Info about Tweet content/media. + matchesSearcherMainLang = isUsersMainLanguage(tweetLanguage, userLanguages), + matchesSearcherLangs = isUsersLanguage(tweetLanguage, userLanguages), + matchesUILang = isUILanguage(tweetLanguage, uiLanguage), + // Various counts. + prevUserTweetEngagement = + metadata.extraMetadata.flatMap(_.prevUserTweetEngagement).getOrElse(DefaultCount), + tweetCountFromUserInSnapshot = tweetCountByAuthorId(metadata.fromUserId), + ) + } + .getOrElse(thriftTweetFeatures) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/RelevanceSearchUtil.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/RelevanceSearchUtil.scala new file mode 100644 index 000000000..30be20d60 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/earlybird/RelevanceSearchUtil.scala @@ -0,0 +1,71 @@ +package com.twitter.home_mixer.util.earlybird + +import com.twitter.search.common.schema.earlybird.EarlybirdFieldConstants.EarlybirdFieldConstant +import com.twitter.search.common.ranking.{thriftscala => scr} +import com.twitter.search.earlybird.{thriftscala => eb} + +object RelevanceSearchUtil { + + val Mentions: String = EarlybirdFieldConstant.MENTIONS_FACET + val Hashtags: String = EarlybirdFieldConstant.HASHTAGS_FACET + val FacetsToFetch: Seq[String] = Seq(Mentions, Hashtags) + + private val RankingParams: scr.ThriftRankingParams = { + scr.ThriftRankingParams( + `type` = Some(scr.ThriftScoringFunctionType.TensorflowBased), + selectedTensorflowModel = Some("timelines_rectweet_replica"), + minScore = -1.0e100, + retweetCountParams = Some(scr.ThriftLinearFeatureRankingParams(weight = 20.0)), + replyCountParams = Some(scr.ThriftLinearFeatureRankingParams(weight = 1.0)), + reputationParams = Some(scr.ThriftLinearFeatureRankingParams(weight = 0.2)), + luceneScoreParams = Some(scr.ThriftLinearFeatureRankingParams(weight = 2.0)), + textScoreParams = Some(scr.ThriftLinearFeatureRankingParams(weight = 0.18)), + urlParams = Some(scr.ThriftLinearFeatureRankingParams(weight = 2.0)), + isReplyParams = Some(scr.ThriftLinearFeatureRankingParams(weight = 1.0)), + favCountParams = Some(scr.ThriftLinearFeatureRankingParams(weight = 30.0)), + langEnglishUIBoost = 0.5, + langEnglishTweetBoost = 0.2, + langDefaultBoost = 0.02, + unknownLanguageBoost = 0.05, + offensiveBoost = 0.1, + inTrustedCircleBoost = 3.0, + multipleHashtagsOrTrendsBoost = 0.6, + inDirectFollowBoost = 4.0, + tweetHasTrendBoost = 1.1, + selfTweetBoost = 2.0, + tweetHasImageUrlBoost = 2.0, + tweetHasVideoUrlBoost = 2.0, + useUserLanguageInfo = true, + ageDecayParams = Some(scr.ThriftAgeDecayRankingParams(slope = 0.005, base = 1.0)), + selectedModels = Some(Map("home_mixer_unified_engagement_prod" -> 1.0)), + applyBoosts = false, + ) + } + + val MetadataOptions: eb.ThriftSearchResultMetadataOptions = { + eb.ThriftSearchResultMetadataOptions( + getTweetUrls = true, + getResultLocation = false, + getLuceneScore = false, + getInReplyToStatusId = true, + getReferencedTweetAuthorId = true, + getMediaBits = true, + getAllFeatures = true, + returnSearchResultFeatures = true, + // Set getExclusiveConversationAuthorId in order to retrieve Exclusive / SuperFollow tweets. + getExclusiveConversationAuthorId = true + ) + } + + val RelevanceOptions: eb.ThriftSearchRelevanceOptions = { + eb.ThriftSearchRelevanceOptions( + proximityScoring = true, + maxConsecutiveSameUser = Some(2), + rankingParams = Some(RankingParams), + maxHitsToProcess = Some(500), + maxUserBlendCount = Some(3), + proximityPhraseWeight = 9.0, + returnAllResults = Some(true) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/BUILD.bazel new file mode 100644 index 000000000..dbfee21f4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/BUILD.bazel @@ -0,0 +1,10 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/thrift/src/main/thrift:thrift-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/RequestFields.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/RequestFields.scala new file mode 100644 index 000000000..9d048005e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/RequestFields.scala @@ -0,0 +1,57 @@ +package com.twitter.home_mixer.util.tweetypie + +import com.twitter.tweetypie.{thriftscala => tp} + +object RequestFields { + + val CoreTweetFields: Set[tp.TweetInclude] = Set[tp.TweetInclude]( + tp.TweetInclude.TweetFieldId(tp.Tweet.IdField.id), + tp.TweetInclude.TweetFieldId(tp.Tweet.CoreDataField.id) + ) + val MediaFields: Set[tp.TweetInclude] = Set[tp.TweetInclude]( + tp.TweetInclude.TweetFieldId(tp.Tweet.MediaField.id), + ) + val SelfThreadFields: Set[tp.TweetInclude] = Set[tp.TweetInclude]( + tp.TweetInclude.TweetFieldId(tp.Tweet.SelfThreadMetadataField.id) + ) + val MentionsTweetFields: Set[tp.TweetInclude] = Set[tp.TweetInclude]( + tp.TweetInclude.TweetFieldId(tp.Tweet.MentionsField.id) + ) + val SemanticAnnotationTweetFields: Set[tp.TweetInclude] = Set[tp.TweetInclude]( + tp.TweetInclude.TweetFieldId(tp.Tweet.EscherbirdEntityAnnotationsField.id) + ) + val NsfwLabelFields: Set[tp.TweetInclude] = Set[tp.TweetInclude]( + // Tweet fields containing NSFW related attributes. + tp.TweetInclude.TweetFieldId(tp.Tweet.NsfwHighRecallLabelField.id), + tp.TweetInclude.TweetFieldId(tp.Tweet.NsfwHighPrecisionLabelField.id), + tp.TweetInclude.TweetFieldId(tp.Tweet.NsfaHighRecallLabelField.id) + ) + val SafetyLabelFields: Set[tp.TweetInclude] = Set[tp.TweetInclude]( + // Tweet fields containing RTF labels for abuse and spam. + tp.TweetInclude.TweetFieldId(tp.Tweet.SpamLabelField.id), + tp.TweetInclude.TweetFieldId(tp.Tweet.AbusiveLabelField.id) + ) + val ConversationControlField: Set[tp.TweetInclude] = + Set[tp.TweetInclude](tp.TweetInclude.TweetFieldId(tp.Tweet.ConversationControlField.id)) + + val TweetTPHydrationFields: Set[tp.TweetInclude] = CoreTweetFields ++ + NsfwLabelFields ++ + SafetyLabelFields ++ + SemanticAnnotationTweetFields ++ + Set( + tp.TweetInclude.TweetFieldId(tp.Tweet.TakedownCountryCodesField.id), + // QTs imply a TweetyPie -> SGS request dependency + tp.TweetInclude.TweetFieldId(tp.Tweet.QuotedTweetField.id), + tp.TweetInclude.TweetFieldId(tp.Tweet.CommunitiesField.id), + // Field required for determining if a Tweet was created via News Camera. + tp.TweetInclude.TweetFieldId(tp.Tweet.ComposerSourceField.id) + ) + + val TweetStaticEntitiesFields: Set[tp.TweetInclude] = + MentionsTweetFields ++ CoreTweetFields ++ SemanticAnnotationTweetFields ++ MediaFields + + val ContentFields: Set[tp.TweetInclude] = CoreTweetFields ++ MediaFields ++ SelfThreadFields ++ + ConversationControlField ++ SemanticAnnotationTweetFields ++ + Set[tp.TweetInclude]( + tp.TweetInclude.MediaEntityFieldId(tp.MediaEntity.AdditionalMetadataField.id)) +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/BUILD.bazel b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/BUILD.bazel new file mode 100644 index 000000000..5acfd98e0 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/BUILD.bazel @@ -0,0 +1,19 @@ +scala_library( + sources = ["*.scala"], + compiler_option_sets = ["fatal_warnings"], + strict_deps = True, + tags = ["bazel-compatible"], + dependencies = [ + "home-mixer/server/src/main/scala/com/twitter/home_mixer/model", + "home-mixer/thrift/src/main/thrift:thrift-scala", + "src/java/com/twitter/common/text/tagger", + "src/java/com/twitter/common/text/token", + "src/java/com/twitter/common_internal/text", + "src/java/com/twitter/common_internal/text/version", + "src/java/com/twitter/search/common/util/text", + "src/thrift/com/twitter/search/common:features-scala", + "src/thrift/com/twitter/tweetypie:media-entity-scala", + "src/thrift/com/twitter/tweetypie:service-scala", + "src/thrift/com/twitter/tweetypie:tweet-scala", + ], +) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/FeatureExtractionHelper.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/FeatureExtractionHelper.scala new file mode 100644 index 000000000..07cbdebe4 --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/FeatureExtractionHelper.scala @@ -0,0 +1,29 @@ +package com.twitter.home_mixer.util.tweetypie.content + +import com.twitter.home_mixer.model.ContentFeatures +import com.twitter.tweetypie.{thriftscala => tp} + +object FeatureExtractionHelper { + + def extractFeatures( + tweet: tp.Tweet + ): ContentFeatures = { + val contentFeaturesFromTweet = ContentFeatures.Empty.copy( + selfThreadMetadata = tweet.selfThreadMetadata + ) + + val contentFeaturesWithText = TweetTextFeaturesExtractor.addTextFeaturesFromTweet( + contentFeaturesFromTweet, + tweet + ) + val contentFeaturesWithMedia = TweetMediaFeaturesExtractor.addMediaFeaturesFromTweet( + contentFeaturesWithText, + tweet + ) + + contentFeaturesWithMedia.copy( + conversationControl = tweet.conversationControl, + semanticCoreAnnotations = tweet.escherbirdEntityAnnotations.map(_.entityAnnotations) + ) + } +} diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/TweetMediaFeaturesExtractor.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/TweetMediaFeaturesExtractor.scala new file mode 100644 index 000000000..0a5a93a2e --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/TweetMediaFeaturesExtractor.scala @@ -0,0 +1,285 @@ +package com.twitter.home_mixer.util.tweetypie.content + +import com.twitter.home_mixer.model.ContentFeatures +import com.twitter.mediaservices.commons.mediainformation.{thriftscala => mi} +import com.twitter.mediaservices.commons.tweetmedia.{thriftscala => tm} +import com.twitter.mediaservices.commons.{thriftscala => ms} +import com.twitter.tweetypie.{thriftscala => tp} +import scala.collection.Map + +object TweetMediaFeaturesExtractor { + + private val ImageCategories = Set( + ms.MediaCategory.TweetImage.value, + ms.MediaCategory.TweetGif.value + ) + private val VideoCategories = Set( + ms.MediaCategory.TweetVideo.value, + ms.MediaCategory.AmplifyVideo.value + ) + + def hasImage(tweet: tp.Tweet): Boolean = hasMediaByCategory(tweet, ImageCategories) + + def hasVideo(tweet: tp.Tweet): Boolean = hasMediaByCategory(tweet, VideoCategories) + + private def hasMediaByCategory(tweet: tp.Tweet, categories: Set[Int]): Boolean = { + tweet.media.exists { mediaEntities => + mediaEntities.exists { mediaEntity => + mediaEntity.mediaKey.map(_.mediaCategory).exists { mediaCategory => + categories.contains(mediaCategory.value) + } + } + } + } + + def addMediaFeaturesFromTweet( + inputFeatures: ContentFeatures, + tweet: tp.Tweet, + ): ContentFeatures = { + val featuresWithMediaEntity = tweet.media + .map { mediaEntities => + val sizeFeatures = getSizeFeatures(mediaEntities) + val playbackFeatures = getPlaybackFeatures(mediaEntities) + val mediaWidths = sizeFeatures.map(_.width.toShort) + val mediaHeights = sizeFeatures.map(_.height.toShort) + val resizeMethods = sizeFeatures.map(_.resizeMethod.toShort) + val faceMapAreas = getFaceMapAreas(mediaEntities) + val sortedColorPalette = getSortedColorPalette(mediaEntities) + val stickerFeatures = getStickerFeatures(mediaEntities) + val mediaOriginProviders = getMediaOriginProviders(mediaEntities) + val isManaged = getIsManaged(mediaEntities) + val is360 = getIs360(mediaEntities) + val viewCount = getViewCount(mediaEntities) + val userDefinedProductMetadataFeatures = + getUserDefinedProductMetadataFeatures(mediaEntities) + val isMonetizable = + getOptBooleanFromSeqOpt(userDefinedProductMetadataFeatures.map(_.isMonetizable)) + val isEmbeddable = + getOptBooleanFromSeqOpt(userDefinedProductMetadataFeatures.map(_.isEmbeddable)) + val hasSelectedPreviewImage = + getOptBooleanFromSeqOpt(userDefinedProductMetadataFeatures.map(_.hasSelectedPreviewImage)) + val hasTitle = getOptBooleanFromSeqOpt(userDefinedProductMetadataFeatures.map(_.hasTitle)) + val hasDescription = + getOptBooleanFromSeqOpt(userDefinedProductMetadataFeatures.map(_.hasDescription)) + val hasVisitSiteCallToAction = getOptBooleanFromSeqOpt( + userDefinedProductMetadataFeatures.map(_.hasVisitSiteCallToAction)) + val hasAppInstallCallToAction = getOptBooleanFromSeqOpt( + userDefinedProductMetadataFeatures.map(_.hasAppInstallCallToAction)) + val hasWatchNowCallToAction = + getOptBooleanFromSeqOpt(userDefinedProductMetadataFeatures.map(_.hasWatchNowCallToAction)) + + inputFeatures.copy( + videoDurationMs = playbackFeatures.durationMs, + bitRate = playbackFeatures.bitRate, + aspectRatioNum = playbackFeatures.aspectRatioNum, + aspectRatioDen = playbackFeatures.aspectRatioDen, + widths = Some(mediaWidths), + heights = Some(mediaHeights), + resizeMethods = Some(resizeMethods), + faceAreas = Some(faceMapAreas), + dominantColorRed = sortedColorPalette.headOption.map(_.rgb.red), + dominantColorBlue = sortedColorPalette.headOption.map(_.rgb.blue), + dominantColorGreen = sortedColorPalette.headOption.map(_.rgb.green), + dominantColorPercentage = sortedColorPalette.headOption.map(_.percentage), + numColors = Some(sortedColorPalette.size.toShort), + stickerIds = Some(stickerFeatures), + mediaOriginProviders = Some(mediaOriginProviders), + isManaged = Some(isManaged), + is360 = Some(is360), + viewCount = viewCount, + isMonetizable = isMonetizable, + isEmbeddable = isEmbeddable, + hasSelectedPreviewImage = hasSelectedPreviewImage, + hasTitle = hasTitle, + hasDescription = hasDescription, + hasVisitSiteCallToAction = hasVisitSiteCallToAction, + hasAppInstallCallToAction = hasAppInstallCallToAction, + hasWatchNowCallToAction = hasWatchNowCallToAction + ) + } + .getOrElse(inputFeatures) + + val featuresWithMediaTags = tweet.mediaTags + .map { mediaTags => + val mediaTagScreenNames = getMediaTagScreenNames(mediaTags.tagMap) + val numMediaTags = mediaTagScreenNames.size + + featuresWithMediaEntity.copy( + mediaTagScreenNames = Some(mediaTagScreenNames), + numMediaTags = Some(numMediaTags.toShort) + ) + } + .getOrElse(featuresWithMediaEntity) + + featuresWithMediaTags + .copy(media = tweet.media) + } + + private def getSizeFeatures(mediaEntities: Seq[tp.MediaEntity]): Seq[MediaSizeFeatures] = { + mediaEntities.map { mediaEntity => + mediaEntity.sizes.foldLeft(MediaSizeFeatures(0, 0, 0))((accDimensions, dimensions) => + MediaSizeFeatures( + width = math.max(dimensions.width, accDimensions.width), + height = math.max(dimensions.height, accDimensions.height), + resizeMethod = math.max(dimensions.resizeMethod.getValue, accDimensions.resizeMethod) + )) + } + } + + private def getPlaybackFeatures(mediaEntities: Seq[tp.MediaEntity]): PlaybackFeatures = { + val allPlaybackFeatures = mediaEntities + .flatMap { mediaEntity => + mediaEntity.mediaInfo map { + case videoEntity: tm.MediaInfo.VideoInfo => + PlaybackFeatures( + durationMs = Some(videoEntity.videoInfo.durationMillis), + bitRate = videoEntity.videoInfo.variants.maxBy(_.bitRate).bitRate, + aspectRatioNum = Some(videoEntity.videoInfo.aspectRatio.numerator), + aspectRatioDen = Some(videoEntity.videoInfo.aspectRatio.denominator) + ) + case gifEntity: tm.MediaInfo.AnimatedGifInfo => + PlaybackFeatures( + durationMs = None, + bitRate = gifEntity.animatedGifInfo.variants.maxBy(_.bitRate).bitRate, + aspectRatioNum = Some(gifEntity.animatedGifInfo.aspectRatio.numerator), + aspectRatioDen = Some(gifEntity.animatedGifInfo.aspectRatio.denominator) + ) + case _ => PlaybackFeatures(None, None, None, None) + } + } + .collect { + case playbackFeatures: PlaybackFeatures => playbackFeatures + } + + if (allPlaybackFeatures.nonEmpty) allPlaybackFeatures.maxBy(_.durationMs) + else PlaybackFeatures(None, None, None, None) + } + + private def getMediaTagScreenNames(tagMap: Map[Long, Seq[tp.MediaTag]]): Seq[String] = + tagMap.values + .flatMap(seqMediaTag => seqMediaTag.flatMap(_.screenName)) + .toSeq + + // Areas of the faces identified in the media entities + private def getFaceMapAreas(mediaEntities: Seq[tp.MediaEntity]): Seq[Int] = { + for { + mediaEntity <- mediaEntities + metadata <- mediaEntity.additionalMetadata.toSeq + faceData <- metadata.faceData + faces <- faceData.faces + } yield { + faces + .getOrElse("orig", Seq.empty[mi.Face]) + .flatMap(f => f.boundingBox.map(bb => bb.width * bb.height)) + } + }.flatten + + // All ColorPalettes in the media sorted by the percentage in descending order + private def getSortedColorPalette( + mediaEntities: Seq[tp.MediaEntity] + ): Seq[mi.ColorPaletteItem] = { + for { + mediaEntity <- mediaEntities + metadata <- mediaEntity.additionalMetadata.toSeq + colorInfo <- metadata.colorInfo + } yield { + colorInfo.palette + } + }.flatten.sortBy(-_.percentage) + + // Id's of stickers applied by the user + private def getStickerFeatures(mediaEntities: Seq[tp.MediaEntity]): Seq[Long] = { + for { + mediaEntity <- mediaEntities + metadata <- mediaEntity.additionalMetadata.toSeq + stickerInfo <- metadata.stickerInfo + } yield { + stickerInfo.stickers.map(_.id) + } + }.flatten + + // 3rd party media providers. eg. giphy for gifs + private def getMediaOriginProviders(mediaEntities: Seq[tp.MediaEntity]): Seq[String] = + for { + mediaEntity <- mediaEntities + metadata <- mediaEntity.additionalMetadata.toSeq + mediaOrigin <- metadata.foundMediaOrigin + } yield { + mediaOrigin.provider + } + + private def getIsManaged(mediaEntities: Seq[tp.MediaEntity]): Boolean = { + for { + mediaEntity <- mediaEntities + metadata <- mediaEntity.additionalMetadata.toSeq + managementInfo <- metadata.managementInfo + } yield { + managementInfo.managed + } + }.contains(true) + + private def getIs360(mediaEntities: Seq[tp.MediaEntity]): Boolean = { + for { + mediaEntity <- mediaEntities + metadata <- mediaEntity.additionalMetadata.toSeq + info360 <- metadata.info360 + } yield { + info360.is360 + } + }.contains(Some(true)) + + private def getViewCount(mediaEntities: Seq[tp.MediaEntity]): Option[Long] = { + for { + mediaEntity <- mediaEntities + metadata <- mediaEntity.additionalMetadata.toSeq + engagementInfo <- metadata.engagementInfo + viewCounts <- engagementInfo.viewCount + } yield { + viewCounts + } + }.reduceOption(_ max _) + + // metadata defined by the user when uploading the image + private def getUserDefinedProductMetadataFeatures( + mediaEntities: Seq[tp.MediaEntity] + ): Seq[UserDefinedProductMetadataFeatures] = + for { + mediaEntity <- mediaEntities + userDefinedMetadata <- mediaEntity.metadata + } yield { + UserDefinedProductMetadataFeatures( + isMonetizable = userDefinedMetadata.monetizable, + isEmbeddable = userDefinedMetadata.embeddable, + hasSelectedPreviewImage = Some(userDefinedMetadata.previewImage.nonEmpty), + hasTitle = userDefinedMetadata.title.map(_.nonEmpty), + hasDescription = userDefinedMetadata.description.map(_.nonEmpty), + hasVisitSiteCallToAction = userDefinedMetadata.callToActions.map(_.visitSite.nonEmpty), + hasAppInstallCallToAction = userDefinedMetadata.callToActions.map(_.appInstall.nonEmpty), + hasWatchNowCallToAction = userDefinedMetadata.callToActions.map(_.watchNow.nonEmpty) + ) + } + + private def getOptBooleanFromSeqOpt( + seqOpt: Seq[Option[Boolean]] + ): Option[Boolean] = Some( + seqOpt.exists(boolOpt => boolOpt.contains(true)) + ) +} + +case class MediaSizeFeatures(width: Int, height: Int, resizeMethod: Int) + +case class PlaybackFeatures( + durationMs: Option[Int], + bitRate: Option[Int], + aspectRatioNum: Option[Short], + aspectRatioDen: Option[Short]) + +case class UserDefinedProductMetadataFeatures( + isMonetizable: Option[Boolean], + isEmbeddable: Option[Boolean], + hasSelectedPreviewImage: Option[Boolean], + hasTitle: Option[Boolean], + hasDescription: Option[Boolean], + hasVisitSiteCallToAction: Option[Boolean], + hasAppInstallCallToAction: Option[Boolean], + hasWatchNowCallToAction: Option[Boolean]) diff --git a/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/TweetTextFeaturesExtractor.scala b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/TweetTextFeaturesExtractor.scala new file mode 100644 index 000000000..0a403d98a --- /dev/null +++ b/home-mixer/server/src/main/scala/com/twitter/home_mixer/util/tweetypie/content/TweetTextFeaturesExtractor.scala @@ -0,0 +1,44 @@ +package com.twitter.home_mixer.util.tweetypie.content + +import com.twitter.home_mixer.model.ContentFeatures +import com.twitter.tweetypie.{thriftscala => tp} + +object TweetTextFeaturesExtractor { + + private val QUESTION_MARK_CHARS = Set( + '\u003F', '\u00BF', '\u037E', '\u055E', '\u061F', '\u1367', '\u1945', '\u2047', '\u2048', + '\u2049', '\u2753', '\u2754', '\u2CFA', '\u2CFB', '\u2E2E', '\uA60F', '\uA6F7', '\uFE16', + '\uFE56', '\uFF1F', '\u1114', '\u1E95' + ) + private val NEW_LINE_REGEX = "\r\n|\r|\n".r + + def addTextFeaturesFromTweet( + inputFeatures: ContentFeatures, + tweet: tp.Tweet + ): ContentFeatures = { + tweet.coreData + .map { coreData => + val tweetText = coreData.text + + inputFeatures.copy( + hasQuestion = hasQuestionCharacter(tweetText), + length = getLength(tweetText).toShort, + numCaps = getCaps(tweetText).toShort, + numWhiteSpaces = getSpaces(tweetText).toShort, + numNewlines = Some(getNumNewlines(tweetText)), + ) + } + .getOrElse(inputFeatures) + } + + def getLength(text: String): Int = + text.codePointCount(0, text.length()) + + def getCaps(text: String): Int = text.count(Character.isUpperCase) + + def getSpaces(text: String): Int = text.count(Character.isWhitespace) + + def hasQuestionCharacter(text: String): Boolean = text.exists(QUESTION_MARK_CHARS.contains) + + def getNumNewlines(text: String): Short = NEW_LINE_REGEX.findAllIn(text).length.toShort +} diff --git a/navi/dr_transform/Cargo.toml b/navi/dr_transform/Cargo.toml new file mode 100644 index 000000000..47f097eb9 --- /dev/null +++ b/navi/dr_transform/Cargo.toml @@ -0,0 +1,29 @@ +[package] +name = "dr_transform" +version = "0.1.0" +edition = "2021" + +# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html +[dependencies] +serde = { version = "1.0", features = ["derive"] } +serde_json = "1.0" +json = "0.12.4" +bpr_thrift = { path = "../thrift_bpr_adapter/thrift/"} +segdense = { path = "../segdense/"} +thrift = "0.17.0" +ndarray = "0.15" +ort = {git ="https://github.com/pykeio/ort.git", tag="v1.14.2"} +base64 = "0.20.0" +npyz = "0.7.2" +log = "0.4.17" +env_logger = "0.9.0" +prometheus = "0.13.1" +once_cell = "1.17.0" +rand = "0.8.5" +itertools = "0.10.5" +[dev-dependencies] +criterion = "0.3.0" + +[[bench]] +name = "bpr_benchmark" +harness = false diff --git a/navi/dr_transform/src/all_config.rs b/navi/dr_transform/src/all_config.rs new file mode 100644 index 000000000..426d11cef --- /dev/null +++ b/navi/dr_transform/src/all_config.rs @@ -0,0 +1,49 @@ +use serde::{Deserialize, Serialize}; + +use serde_json::Error; + +#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] +#[serde(rename_all = "camelCase")] +pub struct AllConfig { + #[serde(rename = "train_data")] + pub train_data: TrainData, +} + +#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] +#[serde(rename_all = "camelCase")] +pub struct TrainData { + #[serde(rename = "seg_dense_schema")] + pub seg_dense_schema: SegDenseSchema, +} + +#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] +#[serde(rename_all = "camelCase")] +pub struct SegDenseSchema { + #[serde(rename = "renamed_features")] + pub renamed_features: RenamedFeatures, +} + +#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] +#[serde(rename_all = "camelCase")] +pub struct RenamedFeatures { + pub continuous: String, + pub binary: String, + pub discrete: String, + #[serde(rename = "author_embedding")] + pub author_embedding: String, + #[serde(rename = "user_embedding")] + pub user_embedding: String, + #[serde(rename = "user_eng_embedding")] + pub user_eng_embedding: String, + #[serde(rename = "meta__author_id")] + pub meta_author_id: String, + #[serde(rename = "meta__user_id")] + pub meta_user_id: String, + #[serde(rename = "meta__tweet_id")] + pub meta_tweet_id: String, +} + +pub fn parse(json_str: &str) -> Result { + let all_config: AllConfig = serde_json::from_str(json_str)?; + return std::result::Result::Ok(all_config); +} diff --git a/navi/dr_transform/src/converter.rs b/navi/dr_transform/src/converter.rs new file mode 100644 index 000000000..30d3ad0a6 --- /dev/null +++ b/navi/dr_transform/src/converter.rs @@ -0,0 +1,621 @@ +use std::collections::BTreeSet; +use std::fmt::{self, Debug, Display}; +use std::fs; + +use bpr_thrift::data::DataRecord; +use bpr_thrift::prediction_service::BatchPredictionRequest; +use bpr_thrift::tensor::GeneralTensor; +use log::debug; +use ndarray::Array2; +use once_cell::sync::OnceCell; +use ort::tensor::InputTensor; +use prometheus::{HistogramOpts, HistogramVec}; +use segdense::mapper::{FeatureMapper, MapReader}; +use segdense::segdense_transform_spec_home_recap_2022::{DensificationTransformSpec, Root}; +use segdense::util; +use thrift::protocol::{TBinaryInputProtocol, TSerializable}; +use thrift::transport::TBufferChannel; + +use crate::{all_config}; +use crate::all_config::AllConfig; + +pub fn log_feature_match( + dr: &DataRecord, + seg_dense_config: &DensificationTransformSpec, + dr_type: String, +) { + // Note the following algorithm matches features from config using linear search. + // Also the record source is MinDataRecord. This includes only binary and continous features for now. + + for (feature_id, feature_value) in dr.continuous_features.as_ref().unwrap().into_iter() { + debug!( + "{} - Continous Datarecord => Feature ID: {}, Feature value: {}", + dr_type, feature_id, feature_value + ); + for input_feature in &seg_dense_config.cont.input_features { + if input_feature.feature_id == *feature_id { + debug!("Matching input feature: {:?}", input_feature) + } + } + } + + for feature_id in dr.binary_features.as_ref().unwrap().into_iter() { + debug!( + "{} - Binary Datarecord => Feature ID: {}", + dr_type, feature_id + ); + for input_feature in &seg_dense_config.binary.input_features { + if input_feature.feature_id == *feature_id { + debug!("Found input feature: {:?}", input_feature) + } + } + } +} + +pub fn log_feature_matches(drs: &Vec, seg_dense_config: &DensificationTransformSpec) { + for dr in drs { + log_feature_match(dr, seg_dense_config, String::from("individual")); + } +} + +pub trait Converter: Send + Sync + Debug + 'static + Display { + fn convert(&self, input: Vec>) -> (Vec, Vec); +} + +#[derive(Debug)] +#[allow(dead_code)] +pub struct BatchPredictionRequestToTorchTensorConverter { + all_config: AllConfig, + seg_dense_config: Root, + all_config_path: String, + seg_dense_config_path: String, + feature_mapper: FeatureMapper, + user_embedding_feature_id: i64, + user_eng_embedding_feature_id: i64, + author_embedding_feature_id: i64, + discrete_features_to_report: BTreeSet, + continuous_features_to_report: BTreeSet, + discrete_feature_metrics: &'static HistogramVec, + continuous_feature_metrics: &'static HistogramVec, +} + +impl Display for BatchPredictionRequestToTorchTensorConverter { + fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { + write!( + f, + "all_config_path: {}, seg_dense_config_path:{}", + self.all_config_path, self.seg_dense_config_path + ) + } +} + +impl BatchPredictionRequestToTorchTensorConverter { + pub fn new( + model_dir: &str, + model_version: &str, + reporting_feature_ids: Vec<(i64, &str)>, + register_metric_fn: Option, + ) -> BatchPredictionRequestToTorchTensorConverter { + let all_config_path = format!("{}/{}/all_config.json", model_dir, model_version); + let seg_dense_config_path = format!( + "{}/{}/segdense_transform_spec_home_recap_2022.json", + model_dir, model_version + ); + let seg_dense_config = util::load_config(&seg_dense_config_path); + let all_config = all_config::parse( + &fs::read_to_string(&all_config_path) + .unwrap_or_else(|error| panic!("error loading all_config.json - {}", error)), + ) + .unwrap(); + + let feature_mapper = util::load_from_parsed_config_ref(&seg_dense_config); + + let user_embedding_feature_id = Self::get_feature_id( + &all_config + .train_data + .seg_dense_schema + .renamed_features + .user_embedding, + &seg_dense_config, + ); + let user_eng_embedding_feature_id = Self::get_feature_id( + &all_config + .train_data + .seg_dense_schema + .renamed_features + .user_eng_embedding, + &seg_dense_config, + ); + let author_embedding_feature_id = Self::get_feature_id( + &all_config + .train_data + .seg_dense_schema + .renamed_features + .author_embedding, + &seg_dense_config, + ); + static METRICS: OnceCell<(HistogramVec, HistogramVec)> = OnceCell::new(); + let (discrete_feature_metrics, continuous_feature_metrics) = METRICS.get_or_init(|| { + let discrete = HistogramVec::new( + HistogramOpts::new(":navi:feature_id:discrete", "Discrete Feature ID values") + .buckets(Vec::from(&[ + 0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0, 110.0, + 120.0, 130.0, 140.0, 150.0, 160.0, 170.0, 180.0, 190.0, 200.0, 250.0, + 300.0, 500.0, 1000.0, 10000.0, 100000.0, + ] as &'static [f64])), + &["feature_id"], + ) + .expect("metric cannot be created"); + let continuous = HistogramVec::new( + HistogramOpts::new( + ":navi:feature_id:continuous", + "continuous Feature ID values", + ) + .buckets(Vec::from(&[ + 0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0, 110.0, 120.0, + 130.0, 140.0, 150.0, 160.0, 170.0, 180.0, 190.0, 200.0, 250.0, 300.0, 500.0, + 1000.0, 10000.0, 100000.0, + ] as &'static [f64])), + &["feature_id"], + ) + .expect("metric cannot be created"); + register_metric_fn.map(|r| { + r(&discrete); + r(&continuous); + }); + (discrete, continuous) + }); + + let mut discrete_features_to_report = BTreeSet::new(); + let mut continuous_features_to_report = BTreeSet::new(); + + for (feature_id, feature_type) in reporting_feature_ids.iter() { + match *feature_type { + "discrete" => discrete_features_to_report.insert(feature_id.clone()), + "continuous" => continuous_features_to_report.insert(feature_id.clone()), + _ => panic!( + "Invalid feature type {} for reporting metrics!", + feature_type + ), + }; + } + + return BatchPredictionRequestToTorchTensorConverter { + all_config, + seg_dense_config, + all_config_path, + seg_dense_config_path, + feature_mapper, + user_embedding_feature_id, + user_eng_embedding_feature_id, + author_embedding_feature_id, + discrete_features_to_report, + continuous_features_to_report, + discrete_feature_metrics, + continuous_feature_metrics, + }; + } + + fn get_feature_id(feature_name: &str, seg_dense_config: &Root) -> i64 { + // given a feature name, we get the complex feature type id + for feature in &seg_dense_config.complex_feature_type_transform_spec { + if feature.full_feature_name == feature_name { + return feature.feature_id; + } + } + return -1; + } + + fn parse_batch_prediction_request(bytes: Vec) -> BatchPredictionRequest { + // parse batch prediction request into a struct from byte array repr. + let mut bc = TBufferChannel::with_capacity(bytes.len(), 0); + bc.set_readable_bytes(&bytes); + let mut protocol = TBinaryInputProtocol::new(bc, true); + return BatchPredictionRequest::read_from_in_protocol(&mut protocol).unwrap(); + } + + fn get_embedding_tensors( + &self, + bprs: &[BatchPredictionRequest], + feature_id: i64, + batch_size: &[usize], + ) -> Array2 { + // given an embedding feature id, extract the float tensor array into tensors. + let cols: usize = 200; + let rows: usize = batch_size[batch_size.len() - 1]; + let total_size = rows * cols; + + let mut working_set = vec![0 as f32; total_size]; + let mut bpr_start = 0; + for (bpr, &bpr_end) in bprs.iter().zip(batch_size) { + if bpr.common_features.is_some() { + if bpr.common_features.as_ref().unwrap().tensors.is_some() { + if bpr + .common_features + .as_ref() + .unwrap() + .tensors + .as_ref() + .unwrap() + .contains_key(&feature_id) + { + let source_tensor = bpr + .common_features + .as_ref() + .unwrap() + .tensors + .as_ref() + .unwrap() + .get(&feature_id) + .unwrap(); + let tensor = match source_tensor { + GeneralTensor::FloatTensor(float_tensor) => + //Tensor::of_slice( + { + float_tensor + .floats + .iter() + .map(|x| x.into_inner() as f32) + .collect::>() + } + _ => vec![0 as f32; cols], + }; + + // since the tensor is found in common feature, add it in all batches + for row in bpr_start..bpr_end { + for col in 0..cols { + working_set[row * cols + col] = tensor[col]; + } + } + } + } + } + // find the feature in individual feature list and add to corresponding batch. + for (index, datarecord) in bpr.individual_features_list.iter().enumerate() { + if datarecord.tensors.is_some() + && datarecord + .tensors + .as_ref() + .unwrap() + .contains_key(&feature_id) + { + let source_tensor = datarecord + .tensors + .as_ref() + .unwrap() + .get(&feature_id) + .unwrap(); + let tensor = match source_tensor { + GeneralTensor::FloatTensor(float_tensor) => float_tensor + .floats + .iter() + .map(|x| x.into_inner() as f32) + .collect::>(), + _ => vec![0 as f32; cols], + }; + for col in 0..cols { + working_set[(bpr_start + index) * cols + col] = tensor[col]; + } + } + } + bpr_start = bpr_end; + } + return Array2::::from_shape_vec([rows, cols], working_set).unwrap(); + } + + // Todo : Refactor, create a generic version with different type and field accessors + // Example paramterize and then instiantiate the following + // (FLOAT --> FLOAT, DataRecord.continuous_feature) + // (BOOL --> INT64, DataRecord.binary_feature) + // (INT64 --> INT64, DataRecord.discrete_feature) + fn get_continuous(&self, bprs: &[BatchPredictionRequest], batch_ends: &[usize]) -> InputTensor { + // These need to be part of model schema + let rows: usize = batch_ends[batch_ends.len() - 1]; + let cols: usize = 5293; + let full_size: usize = (rows * cols).try_into().unwrap(); + let default_val = f32::NAN; + + let mut tensor = vec![default_val; full_size]; + + let mut bpr_start = 0; + for (bpr, &bpr_end) in bprs.iter().zip(batch_ends) { + // Common features + if bpr.common_features.is_some() + && bpr + .common_features + .as_ref() + .unwrap() + .continuous_features + .is_some() + { + let common_features = bpr + .common_features + .as_ref() + .unwrap() + .continuous_features + .as_ref() + .unwrap(); + + for feature in common_features { + match self.feature_mapper.get(feature.0) { + Some(f_info) => { + let idx = f_info.index_within_tensor as usize; + if idx < cols { + // Set value in each row + for r in bpr_start..bpr_end { + let flat_index: usize = (r * cols + idx).try_into().unwrap(); + tensor[flat_index] = feature.1.into_inner() as f32; + } + } + } + None => (), + } + if self.continuous_features_to_report.contains(feature.0) { + self.continuous_feature_metrics + .with_label_values(&[feature.0.to_string().as_str()]) + .observe(feature.1.into_inner() as f64) + } else if self.discrete_features_to_report.contains(feature.0) { + self.discrete_feature_metrics + .with_label_values(&[feature.0.to_string().as_str()]) + .observe(feature.1.into_inner() as f64) + } + } + } + + // Process the batch of datarecords + for r in bpr_start..bpr_end { + let dr: &DataRecord = + &bpr.individual_features_list[usize::try_from(r - bpr_start).unwrap()]; + if dr.continuous_features.is_some() { + for feature in dr.continuous_features.as_ref().unwrap() { + match self.feature_mapper.get(&feature.0) { + Some(f_info) => { + let idx = f_info.index_within_tensor as usize; + let flat_index: usize = (r * cols + idx).try_into().unwrap(); + if flat_index < tensor.len() && idx < cols { + tensor[flat_index] = feature.1.into_inner() as f32; + } + } + None => (), + } + if self.continuous_features_to_report.contains(feature.0) { + self.continuous_feature_metrics + .with_label_values(&[feature.0.to_string().as_str()]) + .observe(feature.1.into_inner() as f64) + } else if self.discrete_features_to_report.contains(feature.0) { + self.discrete_feature_metrics + .with_label_values(&[feature.0.to_string().as_str()]) + .observe(feature.1.into_inner() as f64) + } + } + } + } + bpr_start = bpr_end; + } + + return InputTensor::FloatTensor( + Array2::::from_shape_vec( + [rows.try_into().unwrap(), cols.try_into().unwrap()], + tensor, + ) + .unwrap() + .into_dyn(), + ); + } + + fn get_binary(&self, bprs: &[BatchPredictionRequest], batch_ends: &[usize]) -> InputTensor { + // These need to be part of model schema + let rows: usize = batch_ends[batch_ends.len() - 1]; + let cols: usize = 149; + let full_size: usize = (rows * cols).try_into().unwrap(); + let default_val: i64 = 0; + + let mut v = vec![default_val; full_size]; + + let mut bpr_start = 0; + for (bpr, &bpr_end) in bprs.iter().zip(batch_ends) { + // Common features + if bpr.common_features.is_some() + && bpr + .common_features + .as_ref() + .unwrap() + .binary_features + .is_some() + { + let common_features = bpr + .common_features + .as_ref() + .unwrap() + .binary_features + .as_ref() + .unwrap(); + + for feature in common_features { + match self.feature_mapper.get(feature) { + Some(f_info) => { + let idx = f_info.index_within_tensor as usize; + if idx < cols { + // Set value in each row + for r in bpr_start..bpr_end { + let flat_index: usize = (r * cols + idx).try_into().unwrap(); + v[flat_index] = 1; + } + } + } + None => (), + } + } + } + + // Process the batch of datarecords + for r in bpr_start..bpr_end { + let dr: &DataRecord = + &bpr.individual_features_list[usize::try_from(r - bpr_start).unwrap()]; + if dr.binary_features.is_some() { + for feature in dr.binary_features.as_ref().unwrap() { + match self.feature_mapper.get(&feature) { + Some(f_info) => { + let idx = f_info.index_within_tensor as usize; + let flat_index: usize = (r * cols + idx).try_into().unwrap(); + v[flat_index] = 1; + } + None => (), + } + } + } + } + bpr_start = bpr_end; + } + return InputTensor::Int64Tensor( + Array2::::from_shape_vec([rows.try_into().unwrap(), cols.try_into().unwrap()], v) + .unwrap() + .into_dyn(), + ); + } + + #[allow(dead_code)] + fn get_discrete(&self, bprs: &[BatchPredictionRequest], batch_ends: &[usize]) -> InputTensor { + // These need to be part of model schema + let rows: usize = batch_ends[batch_ends.len() - 1]; + let cols: usize = 320; + let full_size: usize = (rows * cols).try_into().unwrap(); + let default_val: i64 = 0; + + let mut v = vec![default_val; full_size]; + + let mut bpr_start = 0; + for (bpr, &bpr_end) in bprs.iter().zip(batch_ends) { + // Common features + if bpr.common_features.is_some() + && bpr + .common_features + .as_ref() + .unwrap() + .discrete_features + .is_some() + { + let common_features = bpr + .common_features + .as_ref() + .unwrap() + .discrete_features + .as_ref() + .unwrap(); + + for feature in common_features { + match self.feature_mapper.get(feature.0) { + Some(f_info) => { + let idx = f_info.index_within_tensor as usize; + if idx < cols { + // Set value in each row + for r in bpr_start..bpr_end { + let flat_index: usize = (r * cols + idx).try_into().unwrap(); + v[flat_index] = *feature.1; + } + } + } + None => (), + } + if self.discrete_features_to_report.contains(feature.0) { + self.discrete_feature_metrics + .with_label_values(&[feature.0.to_string().as_str()]) + .observe(*feature.1 as f64) + } + } + } + + // Process the batch of datarecords + for r in bpr_start..bpr_end { + let dr: &DataRecord = &bpr.individual_features_list[usize::try_from(r).unwrap()]; + if dr.discrete_features.is_some() { + for feature in dr.discrete_features.as_ref().unwrap() { + match self.feature_mapper.get(&feature.0) { + Some(f_info) => { + let idx = f_info.index_within_tensor as usize; + let flat_index: usize = (r * cols + idx).try_into().unwrap(); + if flat_index < v.len() && idx < cols { + v[flat_index] = *feature.1; + } + } + None => (), + } + if self.discrete_features_to_report.contains(feature.0) { + self.discrete_feature_metrics + .with_label_values(&[feature.0.to_string().as_str()]) + .observe(*feature.1 as f64) + } + } + } + } + bpr_start = bpr_end; + } + return InputTensor::Int64Tensor( + Array2::::from_shape_vec([rows.try_into().unwrap(), cols.try_into().unwrap()], v) + .unwrap() + .into_dyn(), + ); + } + + fn get_user_embedding( + &self, + bprs: &[BatchPredictionRequest], + batch_ends: &[usize], + ) -> InputTensor { + InputTensor::FloatTensor( + self.get_embedding_tensors(bprs, self.user_embedding_feature_id, batch_ends) + .into_dyn(), + ) + } + + fn get_eng_embedding( + &self, + bpr: &[BatchPredictionRequest], + batch_ends: &[usize], + ) -> InputTensor { + InputTensor::FloatTensor( + self.get_embedding_tensors(bpr, self.user_eng_embedding_feature_id, batch_ends) + .into_dyn(), + ) + } + + fn get_author_embedding( + &self, + bpr: &[BatchPredictionRequest], + batch_ends: &[usize], + ) -> InputTensor { + InputTensor::FloatTensor( + self.get_embedding_tensors(bpr, self.author_embedding_feature_id, batch_ends) + .into_dyn(), + ) + } +} + +impl Converter for BatchPredictionRequestToTorchTensorConverter { + fn convert(&self, batched_bytes: Vec>) -> (Vec, Vec) { + let bprs = batched_bytes + .into_iter() + .map(|bytes| { + BatchPredictionRequestToTorchTensorConverter::parse_batch_prediction_request(bytes) + }) + .collect::>(); + let batch_ends = bprs + .iter() + .map(|bpr| bpr.individual_features_list.len()) + .scan(0usize, |acc, e| { + //running total + *acc = *acc + e; + Some(*acc) + }) + .collect::>(); + + let t1 = self.get_continuous(&bprs, &batch_ends); + let t2 = self.get_binary(&bprs, &batch_ends); + //let _t3 = self.get_discrete(&bprs, &batch_ends); + let t4 = self.get_user_embedding(&bprs, &batch_ends); + let t5 = self.get_eng_embedding(&bprs, &batch_ends); + let t6 = self.get_author_embedding(&bprs, &batch_ends); + + (vec![t1, t2, t4, t5, t6], batch_ends) + } +} diff --git a/navi/dr_transform/src/lib.rs b/navi/dr_transform/src/lib.rs new file mode 100644 index 000000000..25b7cd2d3 --- /dev/null +++ b/navi/dr_transform/src/lib.rs @@ -0,0 +1,5 @@ +pub mod all_config; +pub mod converter; +#[cfg(test)] +mod test; +pub mod util; diff --git a/navi/dr_transform/src/util.rs b/navi/dr_transform/src/util.rs new file mode 100644 index 000000000..8c8773185 --- /dev/null +++ b/navi/dr_transform/src/util.rs @@ -0,0 +1,30 @@ +use npyz::WriterBuilder; +use npyz::{AutoSerialize, WriteOptions}; +use std::io::BufWriter; +use std::{ + fs::File, + io::{self, BufRead}, +}; + +pub fn load_batch_prediction_request_base64(file_name: &str) -> Vec> { + let file = File::open(file_name).expect("could not read file"); + let mut result = vec![]; + for line in io::BufReader::new(file).lines() { + match base64::decode(line.unwrap().trim()) { + Ok(payload) => result.push(payload), + Err(err) => println!("error decoding line {}", err), + } + } + println!("reslt len: {}", result.len()); + return result; +} +pub fn save_to_npy(data: &[T], save_to: String) { + let mut writer = WriteOptions::new() + .default_dtype() + .shape(&[data.len() as u64, 1]) + .writer(BufWriter::new(File::create(save_to).unwrap())) + .begin_nd() + .unwrap(); + writer.extend(data.to_owned()).unwrap(); + writer.finish().unwrap(); +} diff --git a/navi/navi/Cargo.toml b/navi/navi/Cargo.toml new file mode 100644 index 000000000..a942b1ae4 --- /dev/null +++ b/navi/navi/Cargo.toml @@ -0,0 +1,76 @@ +[package] +name = "navi" +version = "2.0.42" +edition = "2021" +# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html + +[[bin]] +name = "navi" +path = "src/bin/navi.rs" +required-features=["tf"] +[[bin]] +name = "navi_torch" +path = "src/bin/navi_torch.rs" +required-features=["torch"] +[[bin]] +name = "navi_onnx" +path = "src/bin/navi_onnx.rs" +required-features=["onnx"] + +[features] +default=[] +navi_console=[] +torch=["tch"] +onnx=["ort"] +tf=["tensorflow"] +[dependencies] +itertools = "0.10.5" +anyhow = "1.0.57" +arrayvec = "0.7.2" +clap = { version = "4.0.32", features = ["derive"] } +console-subscriber = "0.1.6" +time = { version = "0.3.20", features = ["parsing"] } +env_logger = "0.10.0" +flamegraph = "0.6.1" +fnv = "1.0.7" +futures = { version = "0.3", default-features = false } +image = "0.24.5" +indexmap = "1.8.1" +lazy_static = "1.4" +libloading = "0.7" +log = "0.4.17" +ndarray-rand = "0.14.0" +prometheus = "0.13.1" +prost = "0.9" +prost-types = "0.9" +parking_lot = "0.12.1" +rand = "0.8.5" +rand_pcg = "0.3.1" +random = "0.12.2" +sha256 = "1.0.3" +tonic = { version = "0.6.2", features=['compression', 'tls'] } +tokio = { version = "1.17.0", features = ["macros", "rt-multi-thread", "fs", "process"] } +warp = "0.3" +npyz = "0.7.3" +base64 = "0.21.0" +histogram = "0.6.9" +tch = {version = "0.10.3", optional = true} +tensorflow = { version = "0.20.0", optional = true } +once_cell = {version = "1.17.1"} +ndarray = "0.15" +serde = "1.0.154" +serde_json = "1.0.94" +dr_transform = { path = "../dr_transform"} +[target.'cfg(not(target_os="linux"))'.dependencies] +ort = {git ="https://github.com/pykeio/ort.git", features=["profiling"], optional = true, tag="v1.14.2"} +[target.'cfg(target_os="linux")'.dependencies] +ort = {git ="https://github.com/pykeio/ort.git", features=["profiling", "tensorrt", "cuda", "copy-dylibs"], optional = true, tag="v1.14.2"} +[build-dependencies] +tonic-build = {version = "0.6.2", features=['prost', "compression"] } +[profile.release] +debug = true +[dev-dependencies] +ndarray-rand = "0.14.0" +tokio-test = "*" +assert_cmd = "2.0" +criterion = "0.4.0" diff --git a/navi/navi/README.md b/navi/navi/README.md new file mode 100644 index 000000000..d8962daf4 --- /dev/null +++ b/navi/navi/README.md @@ -0,0 +1,34 @@ +# Navi: High-Performance Machine Learning Serving Server in Rust + +Navi is a high-performance, versatile machine learning serving server implemented in Rust, tailored for production usage. It's designed to efficiently serve within the Twitter tech stack, offering top-notch performance while focusing on core features. + +## Key Features + +- **Minimalist Design Optimized for Production Use Cases**: Navi delivers ultra-high performance, stability, and availability, engineered to handle real-world application demands with a streamlined codebase. +- **gRPC API Compatibility with TensorFlow Serving**: Seamless integration with existing TensorFlow Serving clients via its gRPC API, enabling easy integration, smooth deployment, and scaling in production environments. +- **Plugin Architecture for Different Runtimes**: Navi's pluggable architecture supports various machine learning runtimes, providing adaptability and extensibility for diverse use cases. Out-of-the-box support is available for TensorFlow and Onnx Runtime, with PyTorch in an experimental state. + +## Current State + +While Navi's features may not be as comprehensive as its open-source counterparts, its performance-first mindset makes it highly efficient. +- Navi for TensorFlow is currently the most feature-complete, supporting multiple input tensors of different types (float, int, string, etc.). +- Navi for Onnx primarily supports one input tensor of type string, used in Twitter's home recommendation with a proprietary BatchPredictRequest format. +- Navi for Pytorch is compilable and runnable but not yet production-ready in terms of performance and stability. + +## Directory Structure + +- `navi`: The main code repository for Navi +- `dr_transform`: Twitter-specific converter that converts BatchPredictionRequest Thrift to ndarray +- `segdense`: Twitter-specific config to specify how to retrieve feature values from BatchPredictionRequest +- `thrift_bpr_adapter`: generated thrift code for BatchPredictionRequest + +## Content +We include all *.rs source code that makes up the main navi binaries for you to examine. The test and benchmark code, as well as configuration files are not included due to data security concerns. + +## Run +in navi/navi you can run. Note you need to create a models directory and create some versions, preferably using epoch time, e.g., 1679693908377 +- scripts/run_tf2.sh +- scripts/run_onnx.sh + +## Build +you can adapt the above scripts to build using Cargo diff --git a/navi/navi/build.rs b/navi/navi/build.rs new file mode 100644 index 000000000..8757a1823 --- /dev/null +++ b/navi/navi/build.rs @@ -0,0 +1,13 @@ +fn main() -> Result<(), Box> { + //::compile_protos("proto/tensorflow_serving/apis/prediction_service.proto")?; + tonic_build::configure().compile( + &[ + "proto/tensorflow_serving/apis/prediction_service.proto", + "proto/tensorflow/core/protobuf/config.proto", + "proto/tensorflow_serving/apis/prediction_log.proto", + "proto/kfserving/grpc_predict_v2.proto", + ], + &["proto"], + )?; + Ok(()) +} diff --git a/navi/navi/proto/kfserving/grpc_predict_v2.proto b/navi/navi/proto/kfserving/grpc_predict_v2.proto new file mode 100644 index 000000000..6b2475a2e --- /dev/null +++ b/navi/navi/proto/kfserving/grpc_predict_v2.proto @@ -0,0 +1,326 @@ +// Copyright 2020 kubeflow.org. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; +package inference; + +// Inference Server GRPC endpoints. +service GRPCInferenceService +{ + // The ServerLive API indicates if the inference server is able to receive + // and respond to metadata and inference requests. + rpc ServerLive(ServerLiveRequest) returns (ServerLiveResponse) {} + + // The ServerReady API indicates if the server is ready for inferencing. + rpc ServerReady(ServerReadyRequest) returns (ServerReadyResponse) {} + + // The ModelReady API indicates if a specific model is ready for inferencing. + rpc ModelReady(ModelReadyRequest) returns (ModelReadyResponse) {} + + // The ServerMetadata API provides information about the server. Errors are + // indicated by the google.rpc.Status returned for the request. The OK code + // indicates success and other codes indicate failure. + rpc ServerMetadata(ServerMetadataRequest) returns (ServerMetadataResponse) {} + + // The per-model metadata API provides information about a model. Errors are + // indicated by the google.rpc.Status returned for the request. The OK code + // indicates success and other codes indicate failure. + rpc ModelMetadata(ModelMetadataRequest) returns (ModelMetadataResponse) {} + + // The ModelInfer API performs inference using the specified model. Errors are + // indicated by the google.rpc.Status returned for the request. The OK code + // indicates success and other codes indicate failure. + rpc ModelInfer(ModelInferRequest) returns (ModelInferResponse) {} +} + +message ServerLiveRequest {} + +message ServerLiveResponse +{ + // True if the inference server is live, false if not live. + bool live = 1; +} + +message ServerReadyRequest {} + +message ServerReadyResponse +{ + // True if the inference server is ready, false if not ready. + bool ready = 1; +} + +message ModelReadyRequest +{ + // The name of the model to check for readiness. + string name = 1; + + // The version of the model to check for readiness. If not given the + // server will choose a version based on the model and internal policy. + string version = 2; +} + +message ModelReadyResponse +{ + // True if the model is ready, false if not ready. + bool ready = 1; +} + +message ServerMetadataRequest {} + +message ServerMetadataResponse +{ + // The server name. + string name = 1; + + // The server version. + string version = 2; + + // The extensions supported by the server. + repeated string extensions = 3; +} + +message ModelMetadataRequest +{ + // The name of the model. + string name = 1; + + // The version of the model to check for readiness. If not given the + // server will choose a version based on the model and internal policy. + string version = 2; +} + +message ModelMetadataResponse +{ + // Metadata for a tensor. + message TensorMetadata + { + // The tensor name. + string name = 1; + + // The tensor data type. + string datatype = 2; + + // The tensor shape. A variable-size dimension is represented + // by a -1 value. + repeated int64 shape = 3; + } + + // The model name. + string name = 1; + + // The versions of the model available on the server. + repeated string versions = 2; + + // The model's platform. See Platforms. + string platform = 3; + + // The model's inputs. + repeated TensorMetadata inputs = 4; + + // The model's outputs. + repeated TensorMetadata outputs = 5; +} + +message ModelInferRequest +{ + // An input tensor for an inference request. + message InferInputTensor + { + // The tensor name. + string name = 1; + + // The tensor data type. + string datatype = 2; + + // The tensor shape. + repeated int64 shape = 3; + + // Optional inference input tensor parameters. + map parameters = 4; + + // The tensor contents using a data-type format. This field must + // not be specified if "raw" tensor contents are being used for + // the inference request. + InferTensorContents contents = 5; + } + + // An output tensor requested for an inference request. + message InferRequestedOutputTensor + { + // The tensor name. + string name = 1; + + // Optional requested output tensor parameters. + map parameters = 2; + } + + // The name of the model to use for inferencing. + string model_name = 1; + + // The version of the model to use for inference. If not given the + // server will choose a version based on the model and internal policy. + string model_version = 2; + + // Optional identifier for the request. If specified will be + // returned in the response. + string id = 3; + + // Optional inference parameters. + map parameters = 4; + + // The input tensors for the inference. + repeated InferInputTensor inputs = 5; + + // The requested output tensors for the inference. Optional, if not + // specified all outputs produced by the model will be returned. + repeated InferRequestedOutputTensor outputs = 6; + + // The data contained in an input tensor can be represented in "raw" + // bytes form or in the repeated type that matches the tensor's data + // type. To use the raw representation 'raw_input_contents' must be + // initialized with data for each tensor in the same order as + // 'inputs'. For each tensor, the size of this content must match + // what is expected by the tensor's shape and data type. The raw + // data must be the flattened, one-dimensional, row-major order of + // the tensor elements without any stride or padding between the + // elements. Note that the FP16 and BF16 data types must be represented as + // raw content as there is no specific data type for a 16-bit float type. + // + // If this field is specified then InferInputTensor::contents must + // not be specified for any input tensor. + repeated bytes raw_input_contents = 7; +} + +message ModelInferResponse +{ + // An output tensor returned for an inference request. + message InferOutputTensor + { + // The tensor name. + string name = 1; + + // The tensor data type. + string datatype = 2; + + // The tensor shape. + repeated int64 shape = 3; + + // Optional output tensor parameters. + map parameters = 4; + + // The tensor contents using a data-type format. This field must + // not be specified if "raw" tensor contents are being used for + // the inference response. + InferTensorContents contents = 5; + } + + // The name of the model used for inference. + string model_name = 1; + + // The version of the model used for inference. + string model_version = 2; + + // The id of the inference request if one was specified. + string id = 3; + + // Optional inference response parameters. + map parameters = 4; + + // The output tensors holding inference results. + repeated InferOutputTensor outputs = 5; + + // The data contained in an output tensor can be represented in + // "raw" bytes form or in the repeated type that matches the + // tensor's data type. To use the raw representation 'raw_output_contents' + // must be initialized with data for each tensor in the same order as + // 'outputs'. For each tensor, the size of this content must match + // what is expected by the tensor's shape and data type. The raw + // data must be the flattened, one-dimensional, row-major order of + // the tensor elements without any stride or padding between the + // elements. Note that the FP16 and BF16 data types must be represented as + // raw content as there is no specific data type for a 16-bit float type. + // + // If this field is specified then InferOutputTensor::contents must + // not be specified for any output tensor. + repeated bytes raw_output_contents = 6; +} + +// An inference parameter value. The Parameters message describes a +// “name”/”value” pair, where the “name” is the name of the parameter +// and the “value” is a boolean, integer, or string corresponding to +// the parameter. +message InferParameter +{ + // The parameter value can be a string, an int64, a boolean + // or a message specific to a predefined parameter. + oneof parameter_choice + { + // A boolean parameter value. + bool bool_param = 1; + + // An int64 parameter value. + int64 int64_param = 2; + + // A string parameter value. + string string_param = 3; + } +} + +// The data contained in a tensor represented by the repeated type +// that matches the tensor's data type. Protobuf oneof is not used +// because oneofs cannot contain repeated fields. +message InferTensorContents +{ + // Representation for BOOL data type. The size must match what is + // expected by the tensor's shape. The contents must be the flattened, + // one-dimensional, row-major order of the tensor elements. + repeated bool bool_contents = 1; + + // Representation for INT8, INT16, and INT32 data types. The size + // must match what is expected by the tensor's shape. The contents + // must be the flattened, one-dimensional, row-major order of the + // tensor elements. + repeated int32 int_contents = 2; + + // Representation for INT64 data types. The size must match what + // is expected by the tensor's shape. The contents must be the + // flattened, one-dimensional, row-major order of the tensor elements. + repeated int64 int64_contents = 3; + + // Representation for UINT8, UINT16, and UINT32 data types. The size + // must match what is expected by the tensor's shape. The contents + // must be the flattened, one-dimensional, row-major order of the + // tensor elements. + repeated uint32 uint_contents = 4; + + // Representation for UINT64 data types. The size must match what + // is expected by the tensor's shape. The contents must be the + // flattened, one-dimensional, row-major order of the tensor elements. + repeated uint64 uint64_contents = 5; + + // Representation for FP32 data type. The size must match what is + // expected by the tensor's shape. The contents must be the flattened, + // one-dimensional, row-major order of the tensor elements. + repeated float fp32_contents = 6; + + // Representation for FP64 data type. The size must match what is + // expected by the tensor's shape. The contents must be the flattened, + // one-dimensional, row-major order of the tensor elements. + repeated double fp64_contents = 7; + + // Representation for BYTES data type. The size must match what is + // expected by the tensor's shape. The contents must be the flattened, + // one-dimensional, row-major order of the tensor elements. + repeated bytes bytes_contents = 8; +} diff --git a/navi/navi/proto/tensorflow/core/example/example.proto b/navi/navi/proto/tensorflow/core/example/example.proto new file mode 100644 index 000000000..0b49514e5 --- /dev/null +++ b/navi/navi/proto/tensorflow/core/example/example.proto @@ -0,0 +1,306 @@ +// Protocol messages for describing input data Examples for machine learning +// model training or inference. +syntax = "proto3"; + +package tensorflow; + +import "tensorflow/core/example/feature.proto"; + +option cc_enable_arenas = true; +option java_outer_classname = "ExampleProtos"; +option java_multiple_files = true; +option java_package = "org.tensorflow.example"; +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/example"; + +// LINT.IfChange +// An Example is a mostly-normalized data format for storing data for +// training and inference. It contains a key-value store (features); where +// each key (string) maps to a Feature message (which is oneof packed BytesList, +// FloatList, or Int64List). This flexible and compact format allows the +// storage of large amounts of typed data, but requires that the data shape +// and use be determined by the configuration files and parsers that are used to +// read and write this format. That is, the Example is mostly *not* a +// self-describing format. In TensorFlow, Examples are read in row-major +// format, so any configuration that describes data with rank-2 or above +// should keep this in mind. For example, to store an M x N matrix of Bytes, +// the BytesList must contain M*N bytes, with M rows of N contiguous values +// each. That is, the BytesList value must store the matrix as: +// .... row 0 .... .... row 1 .... // ........... // ... row M-1 .... +// +// An Example for a movie recommendation application: +// features { +// feature { +// key: "age" +// value { float_list { +// value: 29.0 +// }} +// } +// feature { +// key: "movie" +// value { bytes_list { +// value: "The Shawshank Redemption" +// value: "Fight Club" +// }} +// } +// feature { +// key: "movie_ratings" +// value { float_list { +// value: 9.0 +// value: 9.7 +// }} +// } +// feature { +// key: "suggestion" +// value { bytes_list { +// value: "Inception" +// }} +// } +// # Note that this feature exists to be used as a label in training. +// # E.g., if training a logistic regression model to predict purchase +// # probability in our learning tool we would set the label feature to +// # "suggestion_purchased". +// feature { +// key: "suggestion_purchased" +// value { float_list { +// value: 1.0 +// }} +// } +// # Similar to "suggestion_purchased" above this feature exists to be used +// # as a label in training. +// # E.g., if training a linear regression model to predict purchase +// # price in our learning tool we would set the label feature to +// # "purchase_price". +// feature { +// key: "purchase_price" +// value { float_list { +// value: 9.99 +// }} +// } +// } +// +// A conformant Example data set obeys the following conventions: +// - If a Feature K exists in one example with data type T, it must be of +// type T in all other examples when present. It may be omitted. +// - The number of instances of Feature K list data may vary across examples, +// depending on the requirements of the model. +// - If a Feature K doesn't exist in an example, a K-specific default will be +// used, if configured. +// - If a Feature K exists in an example but contains no items, the intent +// is considered to be an empty tensor and no default will be used. + +message Example { + Features features = 1; +} + +// A SequenceExample is an Example representing one or more sequences, and +// some context. The context contains features which apply to the entire +// example. The feature_lists contain a key, value map where each key is +// associated with a repeated set of Features (a FeatureList). +// A FeatureList thus represents the values of a feature identified by its key +// over time / frames. +// +// Below is a SequenceExample for a movie recommendation application recording a +// sequence of ratings by a user. The time-independent features ("locale", +// "age", "favorites") describing the user are part of the context. The sequence +// of movies the user rated are part of the feature_lists. For each movie in the +// sequence we have information on its name and actors and the user's rating. +// This information is recorded in three separate feature_list(s). +// In the example below there are only two movies. All three feature_list(s), +// namely "movie_ratings", "movie_names", and "actors" have a feature value for +// both movies. Note, that "actors" is itself a bytes_list with multiple +// strings per movie. +// +// context: { +// feature: { +// key : "locale" +// value: { +// bytes_list: { +// value: [ "pt_BR" ] +// } +// } +// } +// feature: { +// key : "age" +// value: { +// float_list: { +// value: [ 19.0 ] +// } +// } +// } +// feature: { +// key : "favorites" +// value: { +// bytes_list: { +// value: [ "Majesty Rose", "Savannah Outen", "One Direction" ] +// } +// } +// } +// } +// feature_lists: { +// feature_list: { +// key : "movie_ratings" +// value: { +// feature: { +// float_list: { +// value: [ 4.5 ] +// } +// } +// feature: { +// float_list: { +// value: [ 5.0 ] +// } +// } +// } +// } +// feature_list: { +// key : "movie_names" +// value: { +// feature: { +// bytes_list: { +// value: [ "The Shawshank Redemption" ] +// } +// } +// feature: { +// bytes_list: { +// value: [ "Fight Club" ] +// } +// } +// } +// } +// feature_list: { +// key : "actors" +// value: { +// feature: { +// bytes_list: { +// value: [ "Tim Robbins", "Morgan Freeman" ] +// } +// } +// feature: { +// bytes_list: { +// value: [ "Brad Pitt", "Edward Norton", "Helena Bonham Carter" ] +// } +// } +// } +// } +// } +// +// A conformant SequenceExample data set obeys the following conventions: +// +// Context: +// - All conformant context features K must obey the same conventions as +// a conformant Example's features (see above). +// Feature lists: +// - A FeatureList L may be missing in an example; it is up to the +// parser configuration to determine if this is allowed or considered +// an empty list (zero length). +// - If a FeatureList L exists, it may be empty (zero length). +// - If a FeatureList L is non-empty, all features within the FeatureList +// must have the same data type T. Even across SequenceExamples, the type T +// of the FeatureList identified by the same key must be the same. An entry +// without any values may serve as an empty feature. +// - If a FeatureList L is non-empty, it is up to the parser configuration +// to determine if all features within the FeatureList must +// have the same size. The same holds for this FeatureList across multiple +// examples. +// - For sequence modeling, e.g.: +// http://colah.github.io/posts/2015-08-Understanding-LSTMs/ +// https://github.com/tensorflow/nmt +// the feature lists represent a sequence of frames. +// In this scenario, all FeatureLists in a SequenceExample have the same +// number of Feature messages, so that the ith element in each FeatureList +// is part of the ith frame (or time step). +// Examples of conformant and non-conformant examples' FeatureLists: +// +// Conformant FeatureLists: +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { float_list: { value: [ 5.0 ] } } } +// } } +// +// Non-conformant FeatureLists (mismatched types): +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { int64_list: { value: [ 5 ] } } } +// } } +// +// Conditionally conformant FeatureLists, the parser configuration determines +// if the feature sizes must match: +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { float_list: { value: [ 5.0, 6.0 ] } } } +// } } +// +// Conformant pair of SequenceExample +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { float_list: { value: [ 5.0 ] } } } +// } } +// and: +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { float_list: { value: [ 5.0 ] } } +// feature: { float_list: { value: [ 2.0 ] } } } +// } } +// +// Conformant pair of SequenceExample +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { float_list: { value: [ 5.0 ] } } } +// } } +// and: +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { } +// } } +// +// Conditionally conformant pair of SequenceExample, the parser configuration +// determines if the second feature_lists is consistent (zero-length) or +// invalid (missing "movie_ratings"): +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { float_list: { value: [ 5.0 ] } } } +// } } +// and: +// feature_lists: { } +// +// Non-conformant pair of SequenceExample (mismatched types) +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { float_list: { value: [ 5.0 ] } } } +// } } +// and: +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { int64_list: { value: [ 4 ] } } +// feature: { int64_list: { value: [ 5 ] } } +// feature: { int64_list: { value: [ 2 ] } } } +// } } +// +// Conditionally conformant pair of SequenceExample; the parser configuration +// determines if the feature sizes must match: +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.5 ] } } +// feature: { float_list: { value: [ 5.0 ] } } } +// } } +// and: +// feature_lists: { feature_list: { +// key: "movie_ratings" +// value: { feature: { float_list: { value: [ 4.0 ] } } +// feature: { float_list: { value: [ 5.0, 3.0 ] } } +// } } + +message SequenceExample { + Features context = 1; + FeatureLists feature_lists = 2; +} +// LINT.ThenChange( +// https://www.tensorflow.org/code/tensorflow/python/training/training.py) diff --git a/navi/navi/proto/tensorflow/core/example/feature.proto b/navi/navi/proto/tensorflow/core/example/feature.proto new file mode 100644 index 000000000..e532747f3 --- /dev/null +++ b/navi/navi/proto/tensorflow/core/example/feature.proto @@ -0,0 +1,110 @@ +// Protocol messages for describing features for machine learning model +// training or inference. +// +// There are three base Feature types: +// - bytes +// - float +// - int64 +// +// A Feature contains Lists which may hold zero or more values. These +// lists are the base values BytesList, FloatList, Int64List. +// +// Features are organized into categories by name. The Features message +// contains the mapping from name to Feature. +// +// Example Features for a movie recommendation application: +// feature { +// key: "age" +// value { float_list { +// value: 29.0 +// }} +// } +// feature { +// key: "movie" +// value { bytes_list { +// value: "The Shawshank Redemption" +// value: "Fight Club" +// }} +// } +// feature { +// key: "movie_ratings" +// value { float_list { +// value: 9.0 +// value: 9.7 +// }} +// } +// feature { +// key: "suggestion" +// value { bytes_list { +// value: "Inception" +// }} +// } +// feature { +// key: "suggestion_purchased" +// value { int64_list { +// value: 1 +// }} +// } +// feature { +// key: "purchase_price" +// value { float_list { +// value: 9.99 +// }} +// } +// + +syntax = "proto3"; + +package tensorflow; + +option cc_enable_arenas = true; +option java_outer_classname = "FeatureProtos"; +option java_multiple_files = true; +option java_package = "org.tensorflow.example"; +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/example"; + +// LINT.IfChange +// Containers to hold repeated fundamental values. +message BytesList { + repeated bytes value = 1; +} +message FloatList { + repeated float value = 1 [packed = true]; +} +message Int64List { + repeated int64 value = 1 [packed = true]; +} + +// Containers for non-sequential data. +message Feature { + // Each feature can be exactly one kind. + oneof kind { + BytesList bytes_list = 1; + FloatList float_list = 2; + Int64List int64_list = 3; + } +} + +message Features { + // Map from feature name to feature. + map feature = 1; +} + +// Containers for sequential data. +// +// A FeatureList contains lists of Features. These may hold zero or more +// Feature values. +// +// FeatureLists are organized into categories by name. The FeatureLists message +// contains the mapping from name to FeatureList. +// +message FeatureList { + repeated Feature feature = 1; +} + +message FeatureLists { + // Map from feature name to feature list. + map feature_list = 1; +} +// LINT.ThenChange( +// https://www.tensorflow.org/code/tensorflow/python/training/training.py) diff --git a/navi/navi/proto/tensorflow/core/framework/allocation_description.proto b/navi/navi/proto/tensorflow/core/framework/allocation_description.proto new file mode 100644 index 000000000..f18caa40b --- /dev/null +++ b/navi/navi/proto/tensorflow/core/framework/allocation_description.proto @@ -0,0 +1,29 @@ +syntax = "proto3"; + +package tensorflow; + +option cc_enable_arenas = true; +option java_outer_classname = "AllocationDescriptionProtos"; +option java_multiple_files = true; +option java_package = "org.tensorflow.framework"; +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/allocation_description_go_proto"; + +message AllocationDescription { + // Total number of bytes requested + int64 requested_bytes = 1; + + // Total number of bytes allocated if known + int64 allocated_bytes = 2; + + // Name of the allocator used + string allocator_name = 3; + + // Identifier of the allocated buffer if known + int64 allocation_id = 4; + + // Set if this tensor only has one remaining reference + bool has_single_reference = 5; + + // Address of the allocation. + uint64 ptr = 6; +} diff --git a/navi/navi/proto/tensorflow/core/framework/api_def.proto b/navi/navi/proto/tensorflow/core/framework/api_def.proto new file mode 100644 index 000000000..1823ce64f --- /dev/null +++ b/navi/navi/proto/tensorflow/core/framework/api_def.proto @@ -0,0 +1,138 @@ +// Defines the text format for including per-op API definition and +// overrides for client language op code generators. + +syntax = "proto3"; + +package tensorflow; + +import "tensorflow/core/framework/attr_value.proto"; + +option cc_enable_arenas = true; +option java_outer_classname = "ApiDefProtos"; +option java_multiple_files = true; +option java_package = "org.tensorflow.framework"; +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/api_def_go_proto"; + +// Used to specify and override the default API & behavior in the +// generated code for client languages, from what you would get from +// the OpDef alone. There will be a set of ApiDefs that are common +// to all client languages, and another set per client language. +// The per-client-language ApiDefs will inherit values from the +// common ApiDefs which it can either replace or modify. +// +// We separate the API definition from the OpDef so we can evolve the +// API while remaining backwards compatible when interpreting old +// graphs. Overrides go in an "api_def.pbtxt" file with a text-format +// ApiDefs message. +// +// WARNING: Be *very* careful changing the API for any existing op -- +// you can change the semantics of existing code. These changes may +// need to wait until a major release of TensorFlow to avoid breaking +// our compatibility promises. +message ApiDef { + // Name of the op (in the OpDef) to specify the API for. + string graph_op_name = 1; + // If this op is deprecated, set deprecation message to the message + // that should be logged when this op is used. + // The message should indicate alternative op to use, if any. + string deprecation_message = 12; + // Major version when the op will be deleted. For e.g. set this + // value to 2 if op API should be removed in TensorFlow 2.0 and + // deprecated in versions before that. + int32 deprecation_version = 13; + + enum Visibility { + // Normally this is "VISIBLE" unless you are inheriting a + // different value from another ApiDef. + DEFAULT_VISIBILITY = 0; + // Publicly visible in the API. + VISIBLE = 1; + // Do not include this op in the generated API. If visibility is + // set to 'SKIP', other fields are ignored for this op. + SKIP = 2; + // Hide this op by putting it into an internal namespace (or whatever + // is appropriate in the target language). + HIDDEN = 3; + } + Visibility visibility = 2; + + // If you specify any endpoint, this will replace all of the + // inherited endpoints. The first endpoint should be the + // "canonical" endpoint, and should not be deprecated (unless all + // endpoints are deprecated). + message Endpoint { + // Name should be either like "CamelCaseName" or + // "Package.CamelCaseName". Client-language-specific ApiDefs may + // use a snake_case convention instead of CamelCase. + string name = 1; + + // Set if this endpoint is deprecated. If set to true, a message suggesting + // to use a non-deprecated endpoint instead will be printed. If all + // endpoints are deprecated, set deprecation_message in ApiDef instead. + bool deprecated = 3; + + // Major version when an endpoint will be deleted. For e.g. set this + // value to 2 if endpoint should be removed in TensorFlow 2.0 and + // deprecated in versions before that. + int32 deprecation_version = 4; + } + repeated Endpoint endpoint = 3; + + message Arg { + string name = 1; + + // Change the name used to access this arg in the API from what + // is used in the GraphDef. Note that these names in `backticks` + // will also be replaced in the summary & description fields. + string rename_to = 2; + + // Note: this will replace any inherited arg doc. There is no + // current way of modifying arg descriptions (other than replacing + // them entirely) as can be done with op descriptions. + string description = 3; + } + repeated Arg in_arg = 4; + repeated Arg out_arg = 5; + // List of original in_arg names to specify new argument order. + // Length of arg_order should be either empty to keep current order + // or match size of in_arg. + repeated string arg_order = 11; + + // Description of the graph-construction-time configuration of this + // Op. That is to say, this describes the attr fields that will + // be specified in the NodeDef. + message Attr { + string name = 1; + + // Change the name used to access this attr in the API from what + // is used in the GraphDef. Note that these names in `backticks` + // will also be replaced in the summary & description fields. + string rename_to = 2; + + // Specify a new default value to use for this attr. This default + // will be used when creating new graphs, as opposed to the + // default in the OpDef, which will be used when interpreting old + // GraphDefs. + AttrValue default_value = 3; + + // Note: this will replace any inherited attr doc, there is no current + // way of modifying attr descriptions as can be done with op descriptions. + string description = 4; + } + repeated Attr attr = 6; + + // One-line human-readable description of what the Op does. + string summary = 7; + + // Additional, longer human-readable description of what the Op does. + string description = 8; + + // Modify an existing/inherited description by adding text to the beginning + // or end. + string description_prefix = 9; + string description_suffix = 10; +} + +message ApiDefs { + repeated ApiDef op = 1; +} diff --git a/navi/navi/proto/tensorflow/core/framework/attr_value.proto b/navi/navi/proto/tensorflow/core/framework/attr_value.proto new file mode 100644 index 000000000..2e913130d --- /dev/null +++ b/navi/navi/proto/tensorflow/core/framework/attr_value.proto @@ -0,0 +1,64 @@ +syntax = "proto3"; + +package tensorflow; + +import "tensorflow/core/framework/tensor.proto"; +import "tensorflow/core/framework/tensor_shape.proto"; +import "tensorflow/core/framework/types.proto"; + +option cc_enable_arenas = true; +option java_outer_classname = "AttrValueProtos"; +option java_multiple_files = true; +option java_package = "org.tensorflow.framework"; +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/attr_value_go_proto"; + +// Protocol buffer representing the value for an attr used to configure an Op. +// Comment indicates the corresponding attr type. Only the field matching the +// attr type may be filled. +message AttrValue { + // LINT.IfChange + message ListValue { + repeated bytes s = 2; // "list(string)" + repeated int64 i = 3 [packed = true]; // "list(int)" + repeated float f = 4 [packed = true]; // "list(float)" + repeated bool b = 5 [packed = true]; // "list(bool)" + repeated DataType type = 6 [packed = true]; // "list(type)" + repeated TensorShapeProto shape = 7; // "list(shape)" + repeated TensorProto tensor = 8; // "list(tensor)" + repeated NameAttrList func = 9; // "list(attr)" + } + // LINT.ThenChange(https://www.tensorflow.org/code/tensorflow/c/c_api.cc) + + oneof value { + bytes s = 2; // "string" + int64 i = 3; // "int" + float f = 4; // "float" + bool b = 5; // "bool" + DataType type = 6; // "type" + TensorShapeProto shape = 7; // "shape" + TensorProto tensor = 8; // "tensor" + ListValue list = 1; // any "list(...)" + + // "func" represents a function. func.name is a function's name or + // a primitive op's name. func.attr.first is the name of an attr + // defined for that function. func.attr.second is the value for + // that attr in the instantiation. + NameAttrList func = 10; + + // This is a placeholder only used in nodes defined inside a + // function. It indicates the attr value will be supplied when + // the function is instantiated. For example, let us suppose a + // node "N" in function "FN". "N" has an attr "A" with value + // placeholder = "foo". When FN is instantiated with attr "foo" + // set to "bar", the instantiated node N's attr A will have been + // given the value "bar". + string placeholder = 9; + } +} + +// A list of attr names and their values. The whole list is attached +// with a string name. E.g., MatMul[T=float]. +message NameAttrList { + string name = 1; + map attr = 2; +} diff --git a/navi/navi/proto/tensorflow/core/framework/cost_graph.proto b/navi/navi/proto/tensorflow/core/framework/cost_graph.proto new file mode 100644 index 000000000..42c9e23cf --- /dev/null +++ b/navi/navi/proto/tensorflow/core/framework/cost_graph.proto @@ -0,0 +1,89 @@ +syntax = "proto3"; + +package tensorflow; + +import "tensorflow/core/framework/tensor_shape.proto"; +import "tensorflow/core/framework/types.proto"; + +option cc_enable_arenas = true; +option java_outer_classname = "CostGraphProtos"; +option java_multiple_files = true; +option java_package = "org.tensorflow.framework"; +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/cost_graph_go_proto"; + +message CostGraphDef { + message Node { + // The name of the node. Names are globally unique. + string name = 1; + + // The device of the node. Can be empty if the node is mapped to the + // default partition or partitioning hasn't been run yet. + string device = 2; + + // The id of the node. Node ids are only unique inside a partition. + int32 id = 3; + + // Inputs of this node. They must be executed before this node can be + // executed. An input is a particular output of another node, specified + // by the node id and the output index. + message InputInfo { + int32 preceding_node = 1; + int32 preceding_port = 2; + } + repeated InputInfo input_info = 4; + + // Outputs of this node. + message OutputInfo { + int64 size = 1; + // If >= 0, the output is an alias of an input. Note that an alias input + // may itself be an alias. The algorithm will therefore need to follow + // those pointers. + int64 alias_input_port = 2; + TensorShapeProto shape = 3; + DataType dtype = 4; + } + repeated OutputInfo output_info = 5; + + // Temporary memory used by this node. + int64 temporary_memory_size = 6; + + // Persistent memory used by this node. + int64 persistent_memory_size = 12; + + int64 host_temp_memory_size = 10 [deprecated = true]; + int64 device_temp_memory_size = 11 [deprecated = true]; + int64 device_persistent_memory_size = 16 [deprecated = true]; + + // Estimate of the computational cost of this node, in microseconds. + int64 compute_cost = 9; + + // Analytical estimate of the computational cost of this node, in + // microseconds. + int64 compute_time = 14; + + // Analytical estimate of the memory access cost of this node, in + // microseconds. + int64 memory_time = 15; + + // If true, the output is permanent: it can't be discarded, because this + // node is part of the "final output". Nodes may depend on final nodes. + bool is_final = 7; + + // Ids of the control inputs for this node. + repeated int32 control_input = 8; + + // Are the costs inaccurate? + bool inaccurate = 17; + } + repeated Node node = 1; + + // Total cost of this graph, typically used for balancing decisions. + message AggregatedCost { + // Aggregated cost value. + float cost = 1; + + // Aggregated cost dimension (e.g. 'memory', 'compute', 'network'). + string dimension = 2; + } + repeated AggregatedCost cost = 2; +} diff --git a/navi/navi/proto/tensorflow/core/framework/dataset_metadata.proto b/navi/navi/proto/tensorflow/core/framework/dataset_metadata.proto new file mode 100644 index 000000000..0e667dd48 --- /dev/null +++ b/navi/navi/proto/tensorflow/core/framework/dataset_metadata.proto @@ -0,0 +1,10 @@ +syntax = "proto3"; + +package tensorflow.data; + +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/dataset_metadata_go_proto"; + +// next: 2 +message Metadata { + bytes name = 1; +} diff --git a/navi/navi/proto/tensorflow/core/framework/dataset_options.proto b/navi/navi/proto/tensorflow/core/framework/dataset_options.proto new file mode 100644 index 000000000..3919d51c1 --- /dev/null +++ b/navi/navi/proto/tensorflow/core/framework/dataset_options.proto @@ -0,0 +1,196 @@ +syntax = "proto3"; + +package tensorflow.data; + +import "tensorflow/core/framework/model.proto"; + +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/dataset_options_go_proto"; + +// Represents the type of auto-sharding we enable. +enum AutoShardPolicy { + // AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding. + AUTO = 0; + // FILE: Shards by input files (i.e. each worker will get a set of files to + // process). When this option is selected, make sure that there is at least as + // many files as workers. If there are fewer input files than workers, a + // runtime error will be raised. + FILE = 1; + // DATA: Shards by elements produced by the dataset. Each worker will process + // the whole dataset and discard the portion that is not for itself. Note that + // for this mode to correctly partitions the dataset elements, the dataset + // needs to produce elements in a deterministic order. + DATA = 2; + // HINT: Looks for the presence of `shard(SHARD_HINT, ...)` which is treated + // as a placeholder to replace with `shard(num_workers, worker_index)`. + HINT = 3; + // OFF: No sharding will be performed. + OFF = -1; +} + +// next: 5 +message AutotuneOptions { + // Whether to automatically tune performance knobs. + oneof optional_enabled { + bool enabled = 1; + } + // When autotuning is enabled (through autotune), determines the CPU budget to + // use. Values greater than the number of schedulable CPU cores are allowed + // but may result in CPU contention. + oneof optional_cpu_budget { + int32 cpu_budget = 2; + } + // When autotuning is enabled (through autotune), determines the RAM budget to + // use. Values greater than the available RAM in bytes may result in OOM. If + // 0, defaults to half of the available RAM in bytes. + oneof optional_ram_budget { + int64 ram_budget = 3; + } + + // When autotuning is enabled (through autotune), determines the algorithm to + // use. If not explicitly set by user, autotuning will follow HILL_CLIMB + // algorithm but has more flexibility to tune parameters more aggressively, + // in which case the behavior is implementation specific and may change over + // time. + oneof optional_autotune_algorithm { + model.AutotuneAlgorithm autotune_algorithm = 4; + } +} + +// next: 2 +message CardinalityOptions { + enum ComputeLevel { + CARDINALITY_COMPUTE_UNSPECIFIED = 0; + // Cardinality will only be computed if it can be determined in a cheap + // manner (ie. without reading from file sources). If the cardinality would + // be nontrivial to compute, Cardinality() will return UNKNOWN_CARDINALITY. + CARDINALITY_COMPUTE_LOW = 1; + // Moderate effort will be made to determine cardinality, such as reading + // index data from source files. If significant work is needed to compute + // cardinality (e.g. reading entire source file contents or executing user + // defined functions), Cardinality() will return UNKNOWN_CARDINALITY. + CARDINALITY_COMPUTE_MODERATE = 2; + } + ComputeLevel compute_level = 1; +} + +// next: 3 +message DistributeOptions { + AutoShardPolicy auto_shard_policy = 1; + // The number of devices attached to this input pipeline. + oneof optional_num_devices { + int32 num_devices = 2; + } +} + +// next: 18 +message OptimizationOptions { + // Whether to apply default graph optimizations. If False, only graph + // optimizations that have been explicitly enabled will be applied. + oneof optional_apply_default_optimizations { + bool apply_default_optimizations = 1; + } + reserved 2; + reserved 3; + reserved 4; + reserved 5; + // Whether to fuse filter transformations. + oneof optional_filter_fusion { + bool filter_fusion = 6; + } + // NOTE: field id 7 deleted in June 2021. + reserved 7; + // NOTE: field id 8 deleted in June 2021. + reserved 8; + // Whether to fuse map and batch transformations. + oneof optional_map_and_batch_fusion { + bool map_and_batch_fusion = 9; + } + // Whether to fuse map and filter transformations. + oneof optional_map_and_filter_fusion { + bool map_and_filter_fusion = 10; + } + // Whether to fuse map transformations. + oneof optional_map_fusion { + bool map_fusion = 11; + } + // Whether to parallelize stateless map transformations. + oneof optional_map_parallelization { + bool map_parallelization = 12; + } + + // NOTE: field id 13 deleted in June 2021. + reserved 13; + + // Whether to eliminate no-op transformations. + oneof optional_noop_elimination { + bool noop_elimination = 14; + } + // Whether to parallelize copying of batch elements. This optimization is + // highly experimental and can cause performance degradation (e.g. when the + // parallelization overhead exceeds the benefits of performing the data copies + // in parallel). You should only enable this optimization if a) your input + // pipeline is bottlenecked on batching and b) you have validated that this + // optimization improves performance. + oneof optional_parallel_batch { + bool parallel_batch = 15; + } + // Field id 16 was removed in 06/2021. + reserved 16; + // Whether to fuse shuffle and repeat transformations. + oneof optional_shuffle_and_repeat_fusion { + bool shuffle_and_repeat_fusion = 17; + } +} + +// next: 3 +message ThreadingOptions { + // If set, it overrides the maximum degree of intra-op parallelism. + oneof optional_max_intra_op_parallelism { + int32 max_intra_op_parallelism = 1; + } + // If set, the dataset will use a private threadpool of the given size. + oneof optional_private_threadpool_size { + int32 private_threadpool_size = 2; + } +} + +// Represents how to handle external state during serialization. +enum ExternalStatePolicy { + POLICY_WARN = 0; + POLICY_IGNORE = 1; + POLICY_FAIL = 2; +} + +// Message stored with Dataset objects to control how datasets are processed and +// optimized. +// +// next: 8 +message Options { + // Whether the outputs need to be produced in deterministic order. + oneof optional_deterministic { + bool deterministic = 1; + } + // The distribution strategy options associated with the dataset. + AutotuneOptions autotune_options = 7; + // The distribution strategy options associated with the dataset. + DistributeOptions distribute_options = 2; + // The optimization options associated with the dataset. + OptimizationOptions optimization_options = 3; + // Whether to introduce 'slack' in the last `prefetch` of the input pipeline, + // if it exists. This may reduce CPU contention with accelerator host-side + // activity at the start of a step. The slack frequency is determined by the + // number of devices attached to this input pipeline. + oneof optional_slack { + bool slack = 4; + } + // The threading options associated with the dataset. + ThreadingOptions threading_options = 5; + // This option can be used to override the default policy for how to handle + // external state when serializing a dataset or checkpointing its iterator. + // There are three settings available - IGNORE: External state is ignored + // without a warning; WARN: External state is ignored and a warning is logged; + // FAIL: External state results in an error. + oneof optional_external_state_policy { + ExternalStatePolicy external_state_policy = 6; + } +} diff --git a/navi/navi/proto/tensorflow/core/framework/device_attributes.proto b/navi/navi/proto/tensorflow/core/framework/device_attributes.proto new file mode 100644 index 000000000..5f568e255 --- /dev/null +++ b/navi/navi/proto/tensorflow/core/framework/device_attributes.proto @@ -0,0 +1,58 @@ +syntax = "proto3"; + +package tensorflow; + +option cc_enable_arenas = true; +option java_outer_classname = "DeviceAttributesProtos"; +option java_multiple_files = true; +option java_package = "org.tensorflow.framework"; +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/device_attributes_go_proto"; + +message InterconnectLink { + int32 device_id = 1; + string type = 2; + int32 strength = 3; +} + +message LocalLinks { + repeated InterconnectLink link = 1; +} + +message DeviceLocality { + // Optional bus locality of device. Default value of 0 means + // no specific locality. Specific localities are indexed from 1. + int32 bus_id = 1; + + // Optional NUMA locality of device. + int32 numa_node = 2; + + // Optional local interconnect links to other devices. + LocalLinks links = 3; +} + +message DeviceAttributes { + // Fully specified name of the device within a cluster. + string name = 1; + + // String representation of device_type. + string device_type = 2; + + // Memory capacity of device in bytes. + int64 memory_limit = 4; + + // Platform-specific data about device that may be useful + // for supporting efficient data transfers. + DeviceLocality locality = 5; + + // A device is assigned a global unique number each time it is + // initialized. "incarnation" should never be 0. + fixed64 incarnation = 6; + + // String representation of the physical device that this device maps to. + string physical_device_desc = 7; + + // A physical device ID for use in XLA DeviceAssignments, unique across + // clients in a multi-client setup. Set to -1 if unavailable, non-negative + // otherwise. + int64 xla_global_id = 8; +} diff --git a/navi/navi/proto/tensorflow/core/framework/full_type.proto b/navi/navi/proto/tensorflow/core/framework/full_type.proto new file mode 100644 index 000000000..ddf05ec8f --- /dev/null +++ b/navi/navi/proto/tensorflow/core/framework/full_type.proto @@ -0,0 +1,276 @@ +syntax = "proto3"; + +package tensorflow; + +option cc_enable_arenas = true; +option java_outer_classname = "FullTypeProtos"; +option java_multiple_files = true; +option java_package = "org.tensorflow.framework"; +option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/full_type_go_proto"; + +// Experimental. Represents the complete type information of a TensorFlow value. +enum FullTypeId { + // The default represents an uninitialized values. + TFT_UNSET = 0; + + // Type symbols. Used to construct more complex type expressions like + // algebraic data types. + + // Type variables may serve as placeholder for any other type ID in type + // templates. + // + // Examples: + // TFT_DATASET[TFT_VAR["T"]] is a Dataset returning a type indicated by "T". + // TFT_TENSOR[TFT_VAR["T"]] is a Tensor of n element type indicated by "T". + // TFT_TENSOR[TFT_VAR["T"]], TFT_TENSOR[TFT_VAR["T"]] are two tensors of + // identical element types. + // TFT_TENSOR[TFT_VAR["P"]], TFT_TENSOR[TFT_VAR["Q"]] are two tensors of + // independent element types. + // + TFT_VAR = 1; + + // Wildcard type. Describes a parameter of unknown type. In TensorFlow, that + // can mean either a "Top" type (accepts any type), or a dynamically typed + // object whose type is unknown in context. + // Important: "unknown" does not necessarily mean undeterminable! + TFT_ANY = 2; + + // The algebraic product type. This is an algebraic type that may be used just + // for logical grouping. Not to confused with TFT_TUPLE which describes a + // concrete object of several elements. + // + // Example: + // TFT_DATASET[TFT_PRODUCT[TFT_TENSOR[TFT_INT32], TFT_TENSOR[TFT_FLOAT64]]] + // is a Dataset producing two tensors, an integer one and a float one. + // + TFT_PRODUCT = 3; + + // Represents a named field, with the name stored in the attribute. + // + // Parametrization: + // TFT_NAMED[]{} + // * is the type of the field + // * is the field name, as string (thpugh can theoretically be an int + // as well) + // + // Example: + // TFT_RECORD[ + // TFT_NAMED[TFT_TENSOR[TFT_INT32]]{'foo'}, + // TFT_NAMED[TFT_TENSOR[TFT_FLOAT32]]{'bar'}, + // ] + // is a structure with two fields, an int tensor "foo" and a float tensor + // "bar". + TFT_NAMED = 4; + + // Template definition. Expands the variables by repeating a template as + // arguments of container. + // + // Parametrization: + // TFT_FOR_EACH[,