From 2488f40edfed369613d1c2c19105d316f75fe1d8 Mon Sep 17 00:00:00 2001 From: Ari Archer Date: Tue, 23 Jan 2024 19:09:02 +0200 Subject: [PATCH] [docx] split commit for file 2000 Signed-off-by: Ari Archer --- navi/navi/src/bin/navi.docx | Bin 0 -> 37464 bytes navi/navi/src/bin/navi.rs | 47 - navi/navi/src/bin/navi_onnx.docx | Bin 0 -> 37032 bytes navi/navi/src/bin/navi_onnx.rs | 24 - navi/navi/src/bin/navi_torch.docx | Bin 0 -> 37045 bytes navi/navi/src/bin/navi_torch.rs | 19 - navi/navi/src/bootstrap.docx | Bin 0 -> 40412 bytes navi/navi/src/bootstrap.rs | 326 ----- navi/navi/src/cli_args.docx | Bin 0 -> 39379 bytes navi/navi/src/cli_args.rs | 236 ---- navi/navi/src/cores/validator.docx | Bin 0 -> 37005 bytes navi/navi/src/cores/validator.rs | 22 - navi/navi/src/lib.docx | Bin 0 -> 38875 bytes navi/navi/src/lib.rs | 215 --- navi/navi/src/metrics.docx | Bin 0 -> 38758 bytes navi/navi/src/metrics.rs | 297 ---- navi/navi/src/onnx_model.docx | Bin 0 -> 40164 bytes navi/navi/src/onnx_model.rs | 275 ---- navi/navi/src/predict_service.docx | Bin 0 -> 40740 bytes navi/navi/src/predict_service.rs | 315 ----- navi/navi/src/tf_model.docx | Bin 0 -> 41458 bytes navi/navi/src/tf_model.rs | 492 ------- navi/navi/src/torch_model.docx | Bin 0 -> 39086 bytes navi/navi/src/torch_model.rs | 183 --- navi/segdense/Cargo.docx | Bin 0 -> 36753 bytes navi/segdense/Cargo.toml | 11 - navi/segdense/src/error.docx | Bin 0 -> 37120 bytes navi/segdense/src/error.rs | 53 - navi/segdense/src/lib.docx | Bin 0 -> 36676 bytes navi/segdense/src/lib.rs | 4 - navi/segdense/src/main.docx | Bin 0 -> 36912 bytes navi/segdense/src/main.rs | 22 - navi/segdense/src/mapper.docx | Bin 0 -> 37019 bytes navi/segdense/src/mapper.rs | 45 - ...gdense_transform_spec_home_recap_2022.docx | Bin 0 -> 37449 bytes ...segdense_transform_spec_home_recap_2022.rs | 182 --- navi/segdense/src/util.docx | Bin 0 -> 38622 bytes navi/segdense/src/util.rs | 154 --- navi/thrift_bpr_adapter/thrift/Cargo.docx | 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.../CursorCandidateSliceItemBuilder.scala | 29 - .../component_library/decorator/urt/BUILD | 108 -- .../decorator/urt/BUILD.docx | Bin 0 -> 37612 bytes ...UrtConversationItemCandidateDecorator.docx | Bin 0 -> 37300 bytes ...rtConversationItemCandidateDecorator.scala | 44 - .../urt/UrtItemCandidateDecorator.docx | Bin 0 -> 37249 bytes .../urt/UrtItemCandidateDecorator.scala | 40 - .../urt/UrtItemInModuleDecorator.docx | Bin 0 -> 37418 bytes .../urt/UrtItemInModuleDecorator.scala | 52 - .../urt/UrtMultipleModulesDecorator.docx | Bin 0 -> 38267 bytes .../urt/UrtMultipleModulesDecorator.scala | 108 -- .../ContextualTweetRefBuilder.docx | Bin 0 -> 36892 bytes .../ContextualTweetRefBuilder.scala | 12 - .../ConversationModuleMetadataBuilder.docx | Bin 0 -> 37217 bytes .../ConversationModuleMetadataBuilder.scala | 38 - .../FlipPromptCandidateUrtItemBuilder.docx | Bin 0 -> 38890 bytes .../FlipPromptCandidateUrtItemBuilder.scala | 205 --- .../FlipPromptModuleGrouping.docx | Bin 0 -> 37171 bytes 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62 - .../metadata/ClientEventInfoBuilder.docx | Bin 0 -> 37318 bytes .../metadata/ClientEventInfoBuilder.scala | 48 - ...rsationTweetClientEventDetailsBuilder.docx | Bin 0 -> 37475 bytes ...sationTweetClientEventDetailsBuilder.scala | 63 - .../builder/metadata/StaticUrlBuilder.docx | Bin 0 -> 36962 bytes .../builder/metadata/StaticUrlBuilder.scala | 18 - .../TopicClientEventDetailsBuilder.docx | Bin 0 -> 37429 bytes .../TopicClientEventDetailsBuilder.scala | 56 - ...otInterestedFeedbackActionInfoBuilder.docx | Bin 0 -> 37221 bytes ...tInterestedFeedbackActionInfoBuilder.scala | 45 - .../TopicTweetClientEventDetailsBuilder.docx | Bin 0 -> 37553 bytes .../TopicTweetClientEventDetailsBuilder.scala | 66 - .../TopicsToFollowModuleMetadataBuilder.docx | Bin 0 -> 37253 bytes .../TopicsToFollowModuleMetadataBuilder.scala | 39 - .../WhoToFollowFeedbackActionInfoBuilder.docx | Bin 0 -> 37413 bytes ...WhoToFollowFeedbackActionInfoBuilder.scala | 60 - .../CursorCandidateUrtOperationBuilder.docx | 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product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/StaticShowAlertColorConfigurationBuilder.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete 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.docx delete mode 100644 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navi::cores::validator::validatior::cli_validator; -use navi::tf_model::tf::TFModel; -use navi::{bootstrap, metrics}; -use sha256::digest; - -fn main() -> Result<()> { - env_logger::init(); - cli_validator::validate_input_args(); - //only validate in for tf as other models don't have this - assert_eq!(MODEL_SPECS.len(), ARGS.serving_sig.len()); - metrics::register_custom_metrics(); - - //load all the custom ops - comma seperaed - if let Some(ref customops_lib) = ARGS.customops_lib { - for op_lib in customops_lib.split(",") { - load_custom_op(op_lib); - } - } - - // versioning the customop so library - bootstrap::bootstrap(TFModel::new) -} - -fn load_custom_op(lib_path: &str) -> () { - let res = tensorflow::Library::load(lib_path); - info!("{} load status:{:?}", lib_path, res); - let customop_version_num = get_custom_op_version(lib_path); - // Last OP version is recorded - metrics::CUSTOMOP_VERSION.set(customop_version_num); -} - -//fn get_custom_op_version(customops_lib: &String) -> i64 { -fn get_custom_op_version(customops_lib: &str) -> i64 { - let customop_bytes = std::fs::read(customops_lib).unwrap(); // Vec - let customop_hash = digest(customop_bytes.as_slice()); - //conver the last 4 hex digits to version number as prometheus metrics doesn't support string, the total space is 16^4 == 65536 - let customop_version_num = - i64::from_str_radix(&customop_hash[customop_hash.len() - 4..], 16).unwrap(); - info!( - "customop hash: {}, version_number: {}", - customop_hash, customop_version_num - ); - customop_version_num -} diff --git a/navi/navi/src/bin/navi_onnx.docx b/navi/navi/src/bin/navi_onnx.docx new file mode 100644 index 0000000000000000000000000000000000000000..1bb89db61ec6446b9aed9cf4403eaa3e6a3cb48a GIT binary patch literal 37032 zcmagEWmp}_wm*!!dvJGmcL)S`ch`+O8xQUQg1fszaCZp7-2x;K-2J~ZGv}O{bMJlM zFU><$t)HybT~*z?l;t3yu)x5;;J|Rwd9h*cHzRd# zCks~tW-kZ(<`e~`HBq#WXD`^PEW)I|5~$b}yH2!DjEVS?wV5}(I?F64@(>Sqll+ky 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zY(;Ps-p)AN{|0vnWu+6x4c?0zitW_k2%O{m1^>V0|0VhBEWj$6uEdJ~0Ooqc0P0gr ztSrBoJiYv&cE8G%_;Y~&Ldk#dp=UO_aJ{~`7{0F}u`5TX)L&m4T*WZ6AHWU7;#_>), - Int(Vec), - Int64(Vec), - Float(Vec), - Double(Vec), - Boolean(Vec), -} - -#[derive(Debug)] -pub struct TensorInput { - pub tensor_data: TensorInputEnum, - pub name: String, - pub dims: Option>, -} - -impl TensorInput { - pub fn new(tensor_data: TensorInputEnum, name: String, dims: Option>) -> TensorInput { - TensorInput { - tensor_data, - name, - dims, - } - } -} - -impl TensorInputEnum { - #[inline(always)] - pub(crate) fn extend(&mut self, another: TensorInputEnum) { - match (self, another) { - (Self::String(input), Self::String(ex)) => input.extend(ex), - (Self::Int(input), Self::Int(ex)) => input.extend(ex), - (Self::Int64(input), Self::Int64(ex)) => input.extend(ex), - (Self::Float(input), Self::Float(ex)) => input.extend(ex), - (Self::Double(input), Self::Double(ex)) => input.extend(ex), - (Self::Boolean(input), Self::Boolean(ex)) => input.extend(ex), - x => panic!("input enum type not matched. input:{:?}, ex:{:?}", x.0, x.1), - } - } - #[inline(always)] - pub(crate) fn merge_batch(input_tensors: Vec>) -> Vec { - input_tensors - .into_iter() - .reduce(|mut acc, e| { - for (i, ext) in acc.iter_mut().zip(e) { - i.tensor_data.extend(ext.tensor_data); - } - acc - }) - .unwrap() //invariant: we expect there's always rows in input_tensors - } -} - - -///entry point for tfServing gRPC -#[tonic::async_trait] -impl GrpcInferenceService for PredictService { - async fn server_live( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } - async fn server_ready( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } - - async fn model_ready( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } - - async fn server_metadata( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } - - async fn model_metadata( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } - - async fn model_infer( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } -} - -#[tonic::async_trait] -impl PredictionService for PredictService { - async fn classify( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } - async fn regress( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } - async fn predict( - &self, - request: Request, - ) -> Result, Status> { - NUM_REQUESTS_RECEIVED.inc(); - let start = Instant::now(); - let mut req = request.into_inner(); - let (model_spec, version) = req.take_model_spec(); - NUM_REQUESTS_RECEIVED_BY_MODEL - .with_label_values(&[&model_spec]) - .inc(); - let idx = PredictService::::get_model_index(&model_spec).ok_or_else(|| { - Status::failed_precondition(format!("model spec not found:{}", model_spec)) - })?; - let input_spec = match INPUTS[idx].get() { - Some(input) => input, - _ => return Err(Status::not_found(format!("model input spec {}", idx))), - }; - let input_val = req.take_input_vals(input_spec); - self.predict(idx, version, input_val, start) - .await - .map_or_else( - |e| { - NUM_REQUESTS_FAILED.inc(); - NUM_REQUESTS_FAILED_BY_MODEL - .with_label_values(&[&model_spec]) - .inc(); - Err(Status::internal(e.to_string())) - }, - |res| { - RESPONSE_TIME_COLLECTOR - .with_label_values(&[&model_spec]) - .observe(start.elapsed().as_millis() as f64); - - match res { - PredictResult::Ok(tensors, version) => { - let mut outputs = HashMap::new(); - NUM_PREDICTIONS.with_label_values(&[&model_spec]).inc(); - //FIXME: uncomment when prediction scores are normal - // PREDICTION_SCORE_SUM - // .with_label_values(&[&model_spec]) - // .inc_by(tensors[0]as f64); - for (tp, output_name) in tensors - .into_iter() - .map(|tensor| tensor.create_tensor_proto()) - .zip(OUTPUTS[idx].iter()) - { - outputs.insert(output_name.to_owned(), tp); - } - let reply = PredictResponse { - model_spec: Some(ModelSpec { - version_choice: Some(Version(version)), - ..Default::default() - }), - outputs, - }; - Ok(Response::new(reply)) - } - PredictResult::DropDueToOverload => Err(Status::resource_exhausted("")), - PredictResult::ModelNotFound(idx) => { - Err(Status::not_found(format!("model index {}", idx))) - }, - PredictResult::ModelNotReady(idx) => { - Err(Status::unavailable(format!("model index {}", idx))) - } - PredictResult::ModelVersionNotFound(idx, version) => Err( - Status::not_found(format!("model index:{}, version {}", idx, version)), - ), - } - }, - ) - } - - async fn multi_inference( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } - async fn get_model_metadata( - &self, - _request: Request, - ) -> Result, Status> { - unimplemented!() - } -} - -// A function that takes a timestamp as input and returns a ticker stream -fn report_expiry(expiry_time: i64) { - info!("Certificate expires at epoch: {:?}", expiry_time); - CERT_EXPIRY_EPOCH.set(expiry_time as i64); -} - -pub fn bootstrap(model_factory: ModelFactory) -> Result<()> { - info!("package: {}, version: {}, args: {:?}", NAME, VERSION, *ARGS); - //we follow SemVer. So here we assume MAJOR.MINOR.PATCH - let parts = VERSION - .split(".") - .map(|v| v.parse::()) - .collect::, _>>()?; - if let [major, minor, patch] = &parts[..] { - NAVI_VERSION.set(major * 1000_000 + minor * 1000 + patch); - } else { - warn!( - "version {} doesn't follow SemVer conversion of MAJOR.MINOR.PATCH", - VERSION - ); - } - - - tokio::runtime::Builder::new_multi_thread() - .thread_name("async worker") - .worker_threads(ARGS.num_worker_threads) - .max_blocking_threads(ARGS.max_blocking_threads) - .enable_all() - .build() - .unwrap() - .block_on(async { - #[cfg(feature = "navi_console")] - console_subscriber::init(); - let addr = format!("0.0.0.0:{}", ARGS.port).parse()?; - - let ps = PredictService::init(model_factory).await; - - let mut builder = if ARGS.ssl_dir.is_empty() { - Server::builder() - } else { - // Read the pem file as a string - let pem_str = std::fs::read_to_string(format!("{}/server.crt", ARGS.ssl_dir)).unwrap(); - let res = parse_x509_pem(&pem_str.as_bytes()); - match res { - Ok((rem, pem_2)) => { - assert!(rem.is_empty()); - assert_eq!(pem_2.label, String::from("CERTIFICATE")); - let res_x509 = parse_x509_certificate(&pem_2.contents); - info!("Certificate label: {}", pem_2.label); - assert!(res_x509.is_ok()); - report_expiry(res_x509.unwrap().1.validity().not_after.timestamp()); - }, - _ => panic!("PEM parsing failed: {:?}", res), - } - - let key = tokio::fs::read(format!("{}/server.key", ARGS.ssl_dir)) - .await - .expect("can't find key file"); - let crt = tokio::fs::read(format!("{}/server.crt", ARGS.ssl_dir)) - .await - .expect("can't find crt file"); - let chain = tokio::fs::read(format!("{}/server.chain", ARGS.ssl_dir)) - .await - .expect("can't find chain file"); - let mut pem = Vec::new(); - pem.extend(crt); - pem.extend(chain); - let identity = Identity::from_pem(pem.clone(), key); - let client_ca_cert = Certificate::from_pem(pem.clone()); - let tls = ServerTlsConfig::new() - .identity(identity) - .client_ca_root(client_ca_cert); - Server::builder() - .tls_config(tls) - .expect("fail to config SSL") - }; - - info!( - "Prometheus server started: 0.0.0.0: {}", - ARGS.prometheus_port - ); - - let ps_server = builder - .add_service(PredictionServiceServer::new(ps).accept_gzip().send_gzip()) - .serve(addr); - info!("Prediction server started: {}", addr); - ps_server.await.map_err(anyhow::Error::msg) - }) -} diff --git a/navi/navi/src/cli_args.docx b/navi/navi/src/cli_args.docx new file mode 100644 index 0000000000000000000000000000000000000000..1bfe5b5672649b8dc5194ee2d2aa17c64b0f4e20 GIT binary patch literal 39379 zcmagEb9^1$+bVh+)TmM_icbax0vdw=0zw6hYKz+0I-A%!>#KO!n>gt*xZ7Aa zCCkdM3n6{Kd`C}V6d>{vMMN*(v!}ABi^mbG$++jzTwy$y0eOC$;0afqRS1P(h|f%W z^dVTU=kM}vrqC7@JJ;3CR4*U_E%7ec%xAbT)e213cm|50tcq1bAsh;UQsN&2534Dd<;?3KwO3I(9iiN(H9s6vaDAWf zb0c{c^%u{6Utyq7%d*OV`5D0VBi!IhRpPrrW5R$_o$DlRgQJ=tR2$a zflUvC+qgRGDMWo))Sa@{7K&xa!MUAPFh%YB323(Zr!8;p*}597d54x}jEaxNX^=2=f5HDv>_ZW2T~OGj*#ckpBX<0ExZESbRbN|@f`!n~}_gsT4t;&*mc!8)aO 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#[clap( - long, - default_value_t = 90, - help = "threshold to start dropping batches under stress" - )] - pub batch_drop_millis: u64, - #[clap( - long, - default_value_t = 300, - help = "polling interval for new version of a model and META.json config" - )] - pub model_check_interval_secs: u64, - #[clap( - short, - long, - default_value = "models/pvideo/", - help = "root directory for models" - )] - pub model_dir: Vec, - #[clap( - long, - help = "directory containing META.json config. separate from model_dir to facilitate remote config management" - )] - pub meta_json_dir: Option, - #[clap(short, long, default_value = "", help = "directory for ssl certs")] - pub ssl_dir: String, - #[clap( - long, - help = "call out to external process to check model updates. custom logic can be written to pull from hdfs, gcs etc" - )] - pub modelsync_cli: Option, - #[clap( - long, - default_value_t = 1, - help = "specify how many versions Navi retains in memory. good for cases of rolling model upgrade" - )] - pub versions_per_model: usize, - #[clap( - short, - long, - help = "most runtimes support loading ops custom writen. currently only implemented for TF" - )] - pub customops_lib: Option, - #[clap( - long, - default_value = "8", - help = "number of threads to paralleling computations inside an op" - )] - pub intra_op_parallelism: Vec, - #[clap( - long, - help = "number of threads to parallelize computations of the graph" - )] - pub inter_op_parallelism: Vec, - #[clap( - long, - help = "signature of a serving. only TF" - )] - pub serving_sig: Vec, - #[clap(long, default_value = "examples", help = "name of each input tensor")] - pub input: Vec, - #[clap(long, default_value = "output_0", help = "name of each output tensor")] - pub output: Vec, - #[clap( - long, - default_value_t = 500, - help = "max warmup records to use. warmup only implemented for TF" - )] - pub max_warmup_records: usize, - #[clap(long, value_parser = Args::parse_key_val::, value_delimiter=',')] - pub onnx_global_thread_pool_options: Vec<(String, String)>, - #[clap( - long, - default_value = "true", - help = "when to use graph parallelization. only for ONNX" - )] - pub onnx_use_parallel_mode: String, - // #[clap(long, default_value = "false")] - // pub onnx_use_onednn: String, - #[clap( - long, - default_value = "true", - help = "trace internal memory allocation and generate bulk memory allocations. only for ONNX. turn if off if batch size dynamic" - )] - pub onnx_use_memory_pattern: String, - #[clap(long, value_parser = Args::parse_key_val::, value_delimiter=',')] - pub onnx_ep_options: Vec<(String, String)>, - #[clap(long, help = "choice of gpu EPs for ONNX: cuda or tensorrt")] - pub onnx_gpu_ep: Option, - #[clap( - long, - default_value = "home", - help = "converter for various input formats" - )] - pub onnx_use_converter: Option, - #[clap( - long, - help = "whether to enable runtime profiling. only implemented for ONNX for now" - )] - pub profiling: Option, - #[clap( - long, - default_value = "", - help = "metrics reporting for discrete features. only for Home converter for now" - )] - pub onnx_report_discrete_feature_ids: Vec, - #[clap( - long, - default_value = "", - help = "metrics reporting for continuous features. only for Home converter for now" - )] - pub onnx_report_continuous_feature_ids: Vec, -} - -impl Args { - pub fn get_model_specs(model_dir: Vec) -> Vec { - let model_specs = model_dir - .iter() - //let it panic if some model_dir are wrong - .map(|dir| { - dir.trim_end_matches('/') - .rsplit_once('/') - .unwrap() - .1 - .to_owned() - }) - .collect(); - info!("all model_specs: {:?}", model_specs); - model_specs - } - pub fn version_str_to_epoch(dt_str: &str) -> Result { - dt_str - .parse::() - .or_else(|_| { - let ts = OffsetDateTime::parse(dt_str, &Rfc3339) - .map(|d| (d.unix_timestamp_nanos()/1_000_000) as i64); - if ts.is_ok() { - info!("original version {} -> {}", dt_str, ts.unwrap()); - } - ts - }) - .map_err(anyhow::Error::msg) - } - /// Parse a single key-value pair - fn parse_key_val(s: &str) -> Result<(T, U), Box> - where - T: std::str::FromStr, - T::Err: Error + Send + Sync + 'static, - U: std::str::FromStr, - U::Err: Error + Send + Sync + 'static, - { - let pos = s - .find('=') - .ok_or_else(|| format!("invalid KEY=value: no `=` found in `{}`", s))?; - Ok((s[..pos].parse()?, s[pos + 1..].parse()?)) - } -} - -lazy_static! { - pub static ref ARGS: Args = Args::parse(); - pub static ref MODEL_SPECS: ArrayVec = { - let mut specs = ArrayVec::::new(); - Args::get_model_specs(ARGS.model_dir.clone()) - .into_iter() - .for_each(|m| specs.push(m)); - specs - }; - pub static ref INPUTS: ArrayVec>, MAX_NUM_MODELS> = { - let mut inputs = - ArrayVec::>, MAX_NUM_MODELS>::new(); - for (idx, o) in ARGS.input.iter().enumerate() { - if o.trim().is_empty() { - info!("input spec is empty for model {}, auto detect later", idx); - inputs.push(OnceCell::new()); - } else { - inputs.push(OnceCell::with_value( - o.split(",") - .map(|s| s.to_owned()) - .collect::>(), - )); - } - } - info!("all inputs:{:?}", inputs); - inputs - }; - pub static ref OUTPUTS: ArrayVec, MAX_NUM_MODELS> = { - let mut outputs = ArrayVec::, MAX_NUM_MODELS>::new(); - for o in ARGS.output.iter() { - outputs.push( - o.split(",") - .map(|s| s.to_owned()) - .collect::>(), - ); - } - info!("all outputs:{:?}", outputs); - outputs - }; -} diff --git a/navi/navi/src/cores/validator.docx b/navi/navi/src/cores/validator.docx new file mode 100644 index 0000000000000000000000000000000000000000..d6f3442ef073602a63ab931c61c988c3b036eadd GIT binary patch literal 37005 zcmagEWmp}_wm*!!dvJGmcL)&N9fAhkxU=y9!9BRUI|O%!5Zoky^E2$ zr-Qk(0kemlZDW#x(uyeB=d%~=WENpkZwXZFvTX-i2gW#j$?EhQUY$jj6M2Y-yK(+- zjcMgj80NT))H`3|l{%qLpC)QO3CR-!gAA>Fa>!zz{IxvhQwyG5sW>v(1(_Y9*#VfE zmJFYFQ{3RJJ2id$Mi?Py;yJp3N!kx!(KMAYniwR5A#kcfqtId1`O`eP?Gz5`s)xfg zI}D$8N0r@P#{JyMA0+&xvR)RMsWmfg(hVNuhn6Y48GT$1WLwHcOV^2J()owOd5N8Or=loUEkduU11ER@WW!5;oa@>ODHwt& 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/dev/null @@ -1,215 +0,0 @@ -#[macro_use] -extern crate lazy_static; -extern crate core; - -use serde_json::Value; -use tokio::sync::oneshot::Sender; -use tokio::time::Instant; -use std::ops::Deref; -use itertools::Itertools; -use crate::bootstrap::TensorInput; -use crate::predict_service::Model; -use crate::tf_proto::{DataType, TensorProto}; - -pub mod batch; -pub mod bootstrap; -pub mod cli_args; -pub mod metrics; -pub mod onnx_model; -pub mod predict_service; -pub mod tf_model; -pub mod torch_model; -pub mod cores { - pub mod validator; -} - -pub mod tf_proto { - tonic::include_proto!("tensorflow"); - pub mod tensorflow_serving { - tonic::include_proto!("tensorflow.serving"); - } -} - -pub mod kf_serving { - tonic::include_proto!("inference"); -} -#[cfg(test)] -mod tests { - use crate::cli_args::Args; - #[test] - fn test_version_string_to_epoch() { - assert_eq!( - Args::version_str_to_epoch("2022-12-20T10:18:53.000Z").unwrap_or(-1), - 1671531533000 - ); - assert_eq!(Args::version_str_to_epoch("1203444").unwrap_or(-1), 1203444); - } -} - -mod utils { - use crate::cli_args::{ARGS, MODEL_SPECS}; - use anyhow::Result; - use log::info; - use serde_json::Value; - - pub fn read_config(meta_file: &String) -> Result { - let json = std::fs::read_to_string(meta_file)?; - let v: Value = serde_json::from_str(&json)?; - Ok(v) - } - pub fn get_config_or_else(model_config: &Value, key: &str, default: F) -> String - where - F: FnOnce() -> String, - { - match model_config[key] { - Value::String(ref v) => { - info!("from model_config: {}={}", key, v); - v.to_string() - } - Value::Number(ref num) => { - info!( - "from model_config: {}={} (turn number into a string)", - key, num - ); - num.to_string() - } - _ => { - let d = default(); - info!("from default: {}={}", key, d); - d - } - } - } - pub fn get_config_or(model_config: &Value, key: &str, default: &str) -> String { - get_config_or_else(model_config, key, || default.to_string()) - } - pub fn get_meta_dir() -> &'static str { - ARGS.meta_json_dir - .as_ref() - .map(|s| s.as_str()) - .unwrap_or_else(|| { - let model_dir = &ARGS.model_dir[0]; - let meta_dir = &model_dir[0..model_dir.rfind(&MODEL_SPECS[0]).unwrap()]; - info!( - "no meta_json_dir specified, hence derive from first model dir:{}->{}", - model_dir, meta_dir - ); - meta_dir - }) - } -} - -pub type SerializedInput = Vec; -pub const VERSION: &str = env!("CARGO_PKG_VERSION"); -pub const NAME: &str = env!("CARGO_PKG_NAME"); -pub type ModelFactory = fn(usize, String, &Value) -> anyhow::Result; -pub const MAX_NUM_MODELS: usize = 16; -pub const MAX_NUM_OUTPUTS: usize = 30; -pub const MAX_NUM_INPUTS: usize = 120; -pub const META_INFO: &str = "META.json"; - -//use a heap allocated generic type here so that both -//Tensorflow & Pytorch implementation can return their Tensor wrapped in a Box -//without an extra memcopy to Vec -pub type TensorReturn = Box>; - -//returned tensor may be int64 i.e., a list of relevant ad ids -pub enum TensorReturnEnum { - FloatTensorReturn(TensorReturn), - StringTensorReturn(TensorReturn), - Int64TensorReturn(TensorReturn), - Int32TensorReturn(TensorReturn), -} - -impl TensorReturnEnum { - #[inline(always)] - pub fn slice(&self, start: usize, end: usize) -> TensorScores { - match self { - TensorReturnEnum::FloatTensorReturn(f32_return) => { - TensorScores::Float32TensorScores(f32_return[start..end].to_vec()) - } - TensorReturnEnum::Int64TensorReturn(i64_return) => { - TensorScores::Int64TensorScores(i64_return[start..end].to_vec()) - } - TensorReturnEnum::Int32TensorReturn(i32_return) => { - TensorScores::Int32TensorScores(i32_return[start..end].to_vec()) - } - TensorReturnEnum::StringTensorReturn(str_return) => { - TensorScores::StringTensorScores(str_return[start..end].to_vec()) - } - } - } -} - -#[derive(Debug)] -pub enum PredictResult { - Ok(Vec, i64), - DropDueToOverload, - ModelNotFound(usize), - ModelNotReady(usize), - ModelVersionNotFound(usize, i64), -} - -#[derive(Debug)] -pub enum TensorScores { - Float32TensorScores(Vec), - Int64TensorScores(Vec), - Int32TensorScores(Vec), - StringTensorScores(Vec), -} - -impl TensorScores { - pub fn create_tensor_proto(self) -> TensorProto { - match self { - TensorScores::Float32TensorScores(f32_tensor) => TensorProto { - dtype: DataType::DtFloat as i32, - float_val: f32_tensor, - ..Default::default() - }, - TensorScores::Int64TensorScores(i64_tensor) => TensorProto { - dtype: DataType::DtInt64 as i32, - int64_val: i64_tensor, - ..Default::default() - }, - TensorScores::Int32TensorScores(i32_tensor) => TensorProto { - dtype: DataType::DtInt32 as i32, - int_val: i32_tensor, - ..Default::default() - }, - TensorScores::StringTensorScores(str_tensor) => TensorProto { - dtype: DataType::DtString as i32, - string_val: str_tensor.into_iter().map(|s| s.into_bytes()).collect_vec(), - ..Default::default() - }, - } - } - pub fn len(&self) -> usize { - match &self { - TensorScores::Float32TensorScores(t) => t.len(), - TensorScores::Int64TensorScores(t) => t.len(), - TensorScores::Int32TensorScores(t) => t.len(), - TensorScores::StringTensorScores(t) => t.len(), - } - } -} - -#[derive(Debug)] -pub enum PredictMessage { - Predict( - usize, - Option, - Vec, - Sender, - Instant, - ), - UpsertModel(T), - /* - #[allow(dead_code)] - DeleteModel(usize), - */ -} - -#[derive(Debug)] -pub struct Callback(Sender, usize); - -pub const MAX_VERSIONS_PER_MODEL: usize = 2; diff --git a/navi/navi/src/metrics.docx b/navi/navi/src/metrics.docx new file mode 100644 index 0000000000000000000000000000000000000000..be506498d96df306c8a501ee2a63b360ff2ec027 GIT binary patch literal 38758 zcmagFV|Zm<)-D{|wr$(0q+;9V4l1@Pwko#mq+(kYTNPANv3+(uPj|oF{hsrEe^#!{ zxyFq#)?O2PZY5c82n-Mq5Eu}wbZ)I`mEwdHP!N!DC=d{IV5_b;z~PIz!xuv}Pe*eX zeI^fkyXF*m#dQ&suNQBasmwwo-r~rZ6?={}jtmKS61ACkJlZSFXL4Xq50iWm>T^nA zP)rF~=?}g{>kWe4J}p$b;u2^2`dONVWZ&5bo#c*cDkr1V`}9@^ z<4SIClm6~xPvQZRId3aWR2tc~nQ-3&dA>y$U8+lcHEK#6bg6fnqHlDzRCj7v?<+>~ 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z`0+vkZ6J`@RUjE`=i+5~+t1C;)BIa>Mh@_UX{+u5mreqCWbh9)@QI>m2N3_p_=llA zxiBgMZ1@1UWB?Gd9uqDAE&ttnY+OAKGtuPoo$+x_A|Q9727y?P$%BEG|K!$gZom4~ zQj}sr9zfRHDucZ9Okg4oD+d6=+Zh=9ujDQ$?vqkL=UqToJjXg$1cq`b|99j+Lw-36 zm~xKaW5q!r3nLm3^D$Bh5FH<-J7tQlC#LY;}J_c>Sxw*CrM5rw^~OOc=Y#KIcB`b_2lv3 gk^XDkPfP50bf~9I1FWELtBMt54J?oK Result { - use prometheus::Encoder; - let encoder = prometheus::TextEncoder::new(); - - let mut buffer = Vec::new(); - if let Err(e) = encoder.encode(®ISTRY.gather(), &mut buffer) { - error!("could not encode custom metrics: {}", e); - }; - let mut res = match String::from_utf8(buffer) { - Ok(v) => format!("#{}:{}\n{}", NAME, VERSION, v), - Err(e) => { - error!("custom metrics could not be from_utf8'd: {}", e); - String::default() - } - }; - - buffer = Vec::new(); - if let Err(e) = encoder.encode(&prometheus::gather(), &mut buffer) { - error!("could not encode prometheus metrics: {}", e); - }; - let res_custom = match String::from_utf8(buffer) { - Ok(v) => v, - Err(e) => { - error!("prometheus metrics could not be from_utf8'd: {}", e); - String::default() - } - }; - - res.push_str(&res_custom); - Ok(res) -} diff --git a/navi/navi/src/onnx_model.docx b/navi/navi/src/onnx_model.docx new file mode 100644 index 0000000000000000000000000000000000000000..8f9ad8e2111a11010d42c82239c57fb94e17bd9f GIT binary patch literal 40164 zcmagEb9^N2)-D{|wrz7_XJXs7ZQHhO+jb_#gcD3`<7A#^?|0)p=llMt{`Fn8F0JaW zJ1Z^s9T)@!0000204<$ety-ZtJ{b@IU;+#P0QqZGQ^?lF$=Jq8SIOPZ*ioC#&DyFt zSz303A0g!O9W{lXm%vj99<^f6j>3*69!t13^PWR}mHu1`==pJqD_nVAE)OjAhsTw6O!wU7w7)T{7k0o{cO`+-P2p~Q;#KJMZ$SY2C|7v?M*Aj5v$ zAeSyu@TFj$MnJOKGe8V^b*u^!{zx!{0?!0!SZ(1vdwv(Oosz=I82LW6*};UI%lnkC zE77x%pGeO8Djk_hwq+(%hd)PJxZahrXoy}@!jNOV%QSVPgQ>E8!$yBGoZASrEy9mq z)_ruYld8-oU=8I_cZwQYNEX4r&TTD&$m$l3fpb(pZMgGJH&m$2x-`^dl)TMP0>!aB z9);ktPWu8V$r}l^lfW{Vx?-!nf*uDSA1RAtNqC=E!*m`O7o@GHl>NrwLs*sh>J>T# zVpGPMIoUt$PlSlP@AHB**Eoe`yt{;Tc_{q(hdiII;a(5*LDw;!VEk(y#oxM14xBdv z3Jj%aQYbawlW~g>d*k(AJztH8m=VG6l2>GmwA7|WS-5CTNBCH}h_^3o>Y~KPN4#Xc 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--- a/navi/navi/src/onnx_model.rs +++ /dev/null @@ -1,275 +0,0 @@ -#[cfg(feature = "onnx")] -pub mod onnx { - use crate::TensorReturnEnum; - use crate::bootstrap::{TensorInput, TensorInputEnum}; - use crate::cli_args::{ - Args, ARGS, INPUTS, MODEL_SPECS, OUTPUTS, - }; - use crate::metrics::{self, CONVERTER_TIME_COLLECTOR}; - use crate::predict_service::Model; - use crate::{MAX_NUM_INPUTS, MAX_NUM_OUTPUTS, META_INFO, utils}; - use anyhow::Result; - use arrayvec::ArrayVec; - use dr_transform::converter::{BatchPredictionRequestToTorchTensorConverter, Converter}; - use itertools::Itertools; - use log::{debug, info}; - use dr_transform::ort::environment::Environment; - use dr_transform::ort::session::Session; - use dr_transform::ort::tensor::InputTensor; - use dr_transform::ort::{ExecutionProvider, GraphOptimizationLevel, SessionBuilder}; - use dr_transform::ort::LoggingLevel; - use serde_json::Value; - use std::fmt::{Debug, Display}; - use std::sync::Arc; - use std::{fmt, fs}; - use tokio::time::Instant; - lazy_static! { - pub static ref ENVIRONMENT: Arc = Arc::new( - Environment::builder() - .with_name("onnx home") - .with_log_level(LoggingLevel::Error) - .with_global_thread_pool(ARGS.onnx_global_thread_pool_options.clone()) - .build() - .unwrap() - ); - } - #[derive(Debug)] - pub struct OnnxModel { - pub session: Session, - pub model_idx: usize, - pub version: i64, - pub export_dir: String, - pub output_filters: ArrayVec, - pub input_converter: Box, - } - impl Display for OnnxModel { - fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { - write!( - f, - "idx: {}, onnx model_name:{}, version:{}, output_filters:{:?}, converter:{:}", - self.model_idx, - MODEL_SPECS[self.model_idx], - self.version, - self.output_filters, - self.input_converter - ) - } - } - impl Drop for OnnxModel { - fn drop(&mut self) { - if ARGS.profiling != None { - self.session.end_profiling().map_or_else( - |e| { - info!("end profiling with some error:{:?}", e); - }, - |f| { - info!("profiling ended with file:{}", f); - }, - ); - } - } - } - impl OnnxModel { - fn get_output_filters(session: &Session, idx: usize) -> ArrayVec { - OUTPUTS[idx] - .iter() - .map(|output| session.outputs.iter().position(|o| o.name == *output)) - .flatten() - .collect::>() - } - #[cfg(target_os = "linux")] - fn ep_choices() -> Vec { - match ARGS.onnx_gpu_ep.as_ref().map(|e| e.as_str()) { - Some("onednn") => vec![Self::ep_with_options(ExecutionProvider::onednn())], - Some("tensorrt") => vec![Self::ep_with_options(ExecutionProvider::tensorrt())], - Some("cuda") => vec![Self::ep_with_options(ExecutionProvider::cuda())], - _ => vec![Self::ep_with_options(ExecutionProvider::cpu())], - } - } - fn ep_with_options(mut ep: ExecutionProvider) -> ExecutionProvider { - for (ref k, ref v) in ARGS.onnx_ep_options.clone() { - ep = ep.with(k, v); - info!("setting option:{} -> {} and now ep is:{:?}", k, v, ep); - } - ep - } - #[cfg(target_os = "macos")] - fn ep_choices() -> Vec { - vec![Self::ep_with_options(ExecutionProvider::cpu())] - } - pub fn new(idx: usize, version: String, model_config: &Value) -> Result { - let export_dir = format!("{}/{}/model.onnx", ARGS.model_dir[idx], version); - let meta_info = format!("{}/{}/{}", ARGS.model_dir[idx], version, META_INFO); - let mut builder = SessionBuilder::new(&ENVIRONMENT)? - .with_optimization_level(GraphOptimizationLevel::Level3)? - .with_parallel_execution(ARGS.onnx_use_parallel_mode == "true")?; - if ARGS.onnx_global_thread_pool_options.is_empty() { - builder = builder - .with_inter_threads( - utils::get_config_or( - model_config, - "inter_op_parallelism", - &ARGS.inter_op_parallelism[idx], - ) - .parse()?, - )? - .with_intra_threads( - utils::get_config_or( - model_config, - "intra_op_parallelism", - &ARGS.intra_op_parallelism[idx], - ) - .parse()?, - )?; - } - else { - builder = builder.with_disable_per_session_threads()?; - } - builder = builder - .with_memory_pattern(ARGS.onnx_use_memory_pattern == "true")? - .with_execution_providers(&OnnxModel::ep_choices())?; - match &ARGS.profiling { - Some(p) => { - debug!("Enable profiling, writing to {}", *p); - builder = builder.with_profiling(p)? - } - _ => {} - } - let session = builder.with_model_from_file(&export_dir)?; - - info!( - "inputs: {:?}, outputs: {:?}", - session.inputs.iter().format(","), - session.outputs.iter().format(",") - ); - - fs::read_to_string(&meta_info) - .ok() - .map(|info| info!("meta info:{}", info)); - let output_filters = OnnxModel::get_output_filters(&session, idx); - let mut reporting_feature_ids: Vec<(i64, &str)> = vec![]; - - let input_spec_cell = &INPUTS[idx]; - if input_spec_cell.get().is_none() { - let input_spec = session - .inputs - .iter() - .map(|input| input.name.clone()) - .collect::>(); - input_spec_cell.set(input_spec.clone()).map_or_else( - |_| info!("unable to set the input_spec for model {}", idx), - |_| info!("auto detect and set the inputs: {:?}", input_spec), - ); - } - ARGS.onnx_report_discrete_feature_ids - .iter() - .for_each(|ids| { - ids.split(",") - .filter(|s| !s.is_empty()) - .map(|s| s.parse::().unwrap()) - .for_each(|id| reporting_feature_ids.push((id, "discrete"))) - }); - ARGS.onnx_report_continuous_feature_ids - .iter() - .for_each(|ids| { - ids.split(",") - .filter(|s| !s.is_empty()) - .map(|s| s.parse::().unwrap()) - .for_each(|id| reporting_feature_ids.push((id, "continuous"))) - }); - - let onnx_model = OnnxModel { - session, - model_idx: idx, - version: Args::version_str_to_epoch(&version)?, - export_dir, - output_filters, - input_converter: Box::new(BatchPredictionRequestToTorchTensorConverter::new( - &ARGS.model_dir[idx], - &version, - reporting_feature_ids, - Some(metrics::register_dynamic_metrics), - )?), - }; - onnx_model.warmup()?; - Ok(onnx_model) - } - } - ///Currently we only assume the input as just one string tensor. - ///The string tensor will be be converted to the actual raw tensors. - /// The converter we are using is very specific to home. - /// It reads a BatchDataRecord thrift and decode it to a batch of raw input tensors. - /// Navi will then do server side batching and feed it to ONNX runtime - impl Model for OnnxModel { - //TODO: implement a generic online warmup for all runtimes - fn warmup(&self) -> Result<()> { - Ok(()) - } - - #[inline(always)] - fn do_predict( - &self, - input_tensors: Vec>, - _: u64, - ) -> (Vec, Vec>) { - let batched_tensors = TensorInputEnum::merge_batch(input_tensors); - let (inputs, batch_ends): (Vec>, Vec>) = batched_tensors - .into_iter() - .map(|batched_tensor| { - match batched_tensor.tensor_data { - TensorInputEnum::String(t) if ARGS.onnx_use_converter.is_some() => { - let start = Instant::now(); - let (inputs, batch_ends) = self.input_converter.convert(t); - // info!("batch_ends:{:?}", batch_ends); - CONVERTER_TIME_COLLECTOR - .with_label_values(&[&MODEL_SPECS[self.model_idx()]]) - .observe( - start.elapsed().as_micros() as f64 - / (*batch_ends.last().unwrap() as f64), - ); - (inputs, batch_ends) - } - _ => unimplemented!(), - } - }) - .unzip(); - //invariant we only support one input as string. will relax later - assert_eq!(inputs.len(), 1); - let output_tensors = self - .session - .run(inputs.into_iter().flatten().collect::>()) - .unwrap(); - self.output_filters - .iter() - .map(|&idx| { - let mut size = 1usize; - let output = output_tensors[idx].try_extract::().unwrap(); - for &dim in self.session.outputs[idx].dimensions.iter().flatten() { - size *= dim as usize; - } - let tensor_ends = batch_ends[0] - .iter() - .map(|&batch| batch * size) - .collect::>(); - - ( - //only works for batch major - //TODO: to_vec() obviously wasteful, especially for large batches(GPU) . Will refactor to - //break up output and return Vec> here - TensorReturnEnum::FloatTensorReturn(Box::new(output.view().as_slice().unwrap().to_vec(), - )), - tensor_ends, - ) - }) - .unzip() - } - #[inline(always)] - fn model_idx(&self) -> usize { - self.model_idx - } - #[inline(always)] - fn version(&self) -> i64 { - self.version - } - } -} diff --git a/navi/navi/src/predict_service.docx b/navi/navi/src/predict_service.docx new file mode 100644 index 0000000000000000000000000000000000000000..a31d41af04262278d488fad3fa75811fe799e46e GIT binary patch literal 40740 zcmagEb9^P;)-4>fW81c^jytw(+g8W6ZQHh!j%{~r-}LjG^B%nSe&0W}e|xQ(V~jaw z?OJQkDp?6&5M%%V00;ooR5sO0`NG&lKmdR-FaQ9guTc#_8*4`+YeyYLH(MhIEm~JA z%f>`0nKgd+pO^0_Np!sU9)fTvWxKZIw$!nhLe=T_>}tz&=aN9rj}x4sO0%-TV6?Fr zsgGW`Yjr$bo=v10f zdo}%>I*37+-*eRc6IGu9qR1+vl@alVf*|C1#y~@=^Jm#|JBVx*Ndm;IMg~%Qq|j=DB0Dm^%laq4nf<% z|Jt|ep>-KoVLAn?D~-5QP~Su}586Msu?QrsnL7r~Qu(yz$~jw8rZVkNSBp~gGCK_r 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in onnx_model.rs as well as simplify code - fn do_predict( - &self, - input_tensors: Vec>, - total_len: u64, - ) -> (Vec, Vec>); - fn model_idx(&self) -> usize; - fn version(&self) -> i64; -} - -#[derive(Debug)] -pub struct PredictService { - tx: Sender>, -} -impl PredictService { - pub async fn init(model_factory: ModelFactory) -> Self { - cli_validator::validate_ps_model_args(); - let (tx, rx) = mpsc::channel(32_000); - tokio::spawn(PredictService::tf_queue_manager(rx)); - tokio::spawn(PredictService::model_watcher_latest( - model_factory, - tx.clone(), - )); - let metrics_route = warp::path!("metrics").and_then(metrics::metrics_handler); - let metric_server = warp::serve(metrics_route).run(([0, 0, 0, 0], ARGS.prometheus_port)); - tokio::spawn(metric_server); - PredictService { tx } - } - #[inline(always)] - pub async fn predict( - &self, - idx: usize, - version: Option, - val: Vec, - ts: Instant, - ) -> Result { - let (tx, rx) = oneshot::channel(); - if let Err(e) = self - .tx - .clone() - .send(PredictMessage::Predict(idx, version, val, tx, ts)) - .await - { - error!("mpsc send error:{}", e); - Err(anyhow!(e)) - } else { - MPSC_CHANNEL_SIZE.inc(); - rx.await.map_err(anyhow::Error::msg) - } - } - - async fn load_latest_model_from_model_dir( - model_factory: ModelFactory, - model_config: &Value, - tx: Sender>, - idx: usize, - max_version: String, - latest_version: &mut String, - ) { - match model_factory(idx, max_version.clone(), model_config) { - Ok(tf_model) => tx - .send(PredictMessage::UpsertModel(tf_model)) - .await - .map_or_else( - |e| error!("send UpsertModel error: {}", e), - |_| *latest_version = max_version, - ), - Err(e) => { - error!("skip loading model due to failure: {:?}", e); - } - } - } - - async fn scan_load_latest_model_from_model_dir( - model_factory: ModelFactory, - model_config: &Value, - tx: Sender>, - model_idx: usize, - cur_version: &mut String, - ) -> Result<()> { - let model_dir = &ARGS.model_dir[model_idx]; - let next_version = utils::get_config_or_else(model_config, "version", || { - info!("no version found, hence use max version"); - std::fs::read_dir(model_dir) - .map_err(|e| format!("read dir error:{}", e)) - .and_then(|paths| { - paths - .into_iter() - .flat_map(|p| { - p.map_err(|e| error!("dir entry error: {}", e)) - .and_then(|dir| { - dir.file_name() - .into_string() - .map_err(|e| error!("osstring error: {:?}", e)) - }) - .ok() - }) - .filter(|f| !f.to_lowercase().contains(&META_INFO.to_lowercase())) - .max() - .ok_or_else(|| "no dir found hence no max".to_owned()) - }) - .unwrap_or_else(|e| { - error!( - "can't get the max version hence return cur_version, error is: {}", - e - ); - cur_version.to_string() - }) - }); - //as long as next version doesn't match cur version maintained we reload - if next_version.ne(cur_version) { - info!("reload the version: {}->{}", cur_version, next_version); - PredictService::load_latest_model_from_model_dir( - model_factory, - model_config, - tx, - model_idx, - next_version, - cur_version, - ) - .await; - } - Ok(()) - } - - async fn model_watcher_latest(model_factory: ModelFactory, tx: Sender>) { - async fn call_external_modelsync(cli: &str, cur_versions: &Vec) -> Result<()> { - let mut args = cli.split_whitespace(); - - let mut cmd = Command::new(args.next().ok_or(anyhow!("model sync cli empty"))?); - let extr_args = MODEL_SPECS - .iter() - .zip(cur_versions) - .flat_map(|(spec, version)| vec!["--model-spec", spec, "--cur-version", version]) - .collect_vec(); - info!("run model sync: {} with extra args: {:?}", cli, extr_args); - let output = cmd.args(args).args(extr_args).output().await?; - info!("model sync stdout:{}", String::from_utf8(output.stdout)?); - info!("model sync stderr:{}", String::from_utf8(output.stderr)?); - if output.status.success() { - Ok(()) - } else { - Err(anyhow!( - "model sync failed with status: {:?}!", - output.status - )) - } - } - let meta_dir = utils::get_meta_dir(); - let meta_file = format!("{}{}", meta_dir, META_INFO); - //initialize the latest version array - let mut cur_versions = vec!["".to_owned(); MODEL_SPECS.len()]; - loop { - info!("***polling for models***"); //nice deliminter - if let Some(ref cli) = ARGS.modelsync_cli { - if let Err(e) = call_external_modelsync(cli, &cur_versions).await { - error!("model sync cli running error:{}", e) - } - } - let config = utils::read_config(&meta_file).unwrap_or_else(|e| { - info!("config file {} not found due to: {}", meta_file, e); - Value::Null - }); - info!("config:{}", config); - for (idx, cur_version) in cur_versions.iter_mut().enumerate() { - let model_dir = &ARGS.model_dir[idx]; - PredictService::scan_load_latest_model_from_model_dir( - model_factory, - &config[&MODEL_SPECS[idx]], - tx.clone(), - idx, - cur_version, - ) - .await - .map_or_else( - |e| error!("scanned {}, error {:?}", model_dir, e), - |_| info!("scanned {}, latest_version: {}", model_dir, cur_version), - ); - } - sleep(Duration::from_secs(ARGS.model_check_interval_secs)).await; - } - } - async fn tf_queue_manager(mut rx: Receiver>) { - // Start receiving messages - info!("setting up queue manager"); - let max_batch_size = ARGS - .max_batch_size - .iter() - .map(|b| b.parse().unwrap()) - .collect::>(); - let batch_time_out_millis = ARGS - .batch_time_out_millis - .iter() - .map(|b| b.parse().unwrap()) - .collect::>(); - let no_msg_wait_millis = *batch_time_out_millis.iter().min().unwrap(); - let mut all_model_predictors: ArrayVec::, MAX_VERSIONS_PER_MODEL>, MAX_NUM_MODELS> = - (0 ..MAX_NUM_MODELS).map( |_| ArrayVec::, MAX_VERSIONS_PER_MODEL>::new()).collect(); - loop { - let msg = rx.try_recv(); - let no_more_msg = match msg { - Ok(PredictMessage::Predict(model_spec_at, version, val, resp, ts)) => { - if let Some(model_predictors) = all_model_predictors.get_mut(model_spec_at) { - if model_predictors.is_empty() { - resp.send(PredictResult::ModelNotReady(model_spec_at)) - .unwrap_or_else(|e| error!("cannot send back model not ready error: {:?}", e)); - } - else { - match version { - None => model_predictors[0].push(val, resp, ts), - Some(the_version) => match model_predictors - .iter_mut() - .find(|x| x.model.version() == the_version) - { - None => resp - .send(PredictResult::ModelVersionNotFound( - model_spec_at, - the_version, - )) - .unwrap_or_else(|e| { - error!("cannot send back version error: {:?}", e) - }), - Some(predictor) => predictor.push(val, resp, ts), - }, - } - } - } else { - resp.send(PredictResult::ModelNotFound(model_spec_at)) - .unwrap_or_else(|e| error!("cannot send back model not found error: {:?}", e)) - } - MPSC_CHANNEL_SIZE.dec(); - false - } - Ok(PredictMessage::UpsertModel(tf_model)) => { - let idx = tf_model.model_idx(); - let predictor = BatchPredictor { - model: Arc::new(tf_model), - input_tensors: Vec::with_capacity(max_batch_size[idx]), - callbacks: Vec::with_capacity(max_batch_size[idx]), - cur_batch_size: 0, - max_batch_size: max_batch_size[idx], - batch_time_out_millis: batch_time_out_millis[idx], - //initialize to be current time - queue_reset_ts: Instant::now(), - queue_earliest_rq_ts: Instant::now(), - }; - assert!(idx < all_model_predictors.len()); - metrics::NEW_MODEL_SNAPSHOT - .with_label_values(&[&MODEL_SPECS[idx]]) - .inc(); - - //we can do this since the vector is small - let predictors = &mut all_model_predictors[idx]; - if predictors.len() == 0 { - info!("now we serve new model: {}", predictor.model); - } - else { - info!("now we serve updated model: {}", predictor.model); - } - if predictors.len() == ARGS.versions_per_model { - predictors.remove(predictors.len() - 1); - } - predictors.insert(0, predictor); - false - } - Err(TryRecvError::Empty) => true, - Err(TryRecvError::Disconnected) => true, - }; - for predictor in all_model_predictors.iter_mut().flatten() { - //if predictor batch queue not empty and times out or no more msg in the queue, flush - if (!predictor.input_tensors.is_empty() && (predictor.duration_past(predictor.batch_time_out_millis) || no_more_msg)) - //if batch queue reaches limit, flush - || predictor.cur_batch_size >= predictor.max_batch_size - { - predictor.batch_predict(); - } - } - if no_more_msg { - sleep(Duration::from_millis(no_msg_wait_millis)).await; - } - } - } - #[inline(always)] - pub fn get_model_index(model_spec: &str) -> Option { - MODEL_SPECS.iter().position(|m| m == model_spec) - } -} diff --git a/navi/navi/src/tf_model.docx b/navi/navi/src/tf_model.docx new file mode 100644 index 0000000000000000000000000000000000000000..d82fe7b59345a5e6e5d8be2e1aef33012db304d6 GIT binary patch literal 41458 zcmafZb6_Ohwr`wFGBGE%ZJQI@nm7~NwlT47+qToOZJU#q`Mz`RIp^MY-}|S!d+%E7 zhgH>k_o|kY1O-C@0s?{pLQ7#&t57J2O#lW08ifD?LjD}p6tcE*FtT#cRdTg4ve%|{ zv9xGNkd|HLM+mxnM@^*T#djBiM=jm4A-AE9#T2eeyJuHlqC1xYd43${3{{?y3x=SL zO;36B#9giB>GWtM)f5sw*Vax~%_9UY^2l4yrM)m_+ZTx?kXRJo#hDv`sBTX8_%_7~ zOut**$Ek}Hcqy2z;g_KH3=~CH5v_uRHy8+|z%vRSQk6HumeWpTqoi;$Otwp9x<4xC 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std::time::Duration; - - use crate::cli_args::{Args, ARGS, INPUTS, MODEL_SPECS, OUTPUTS}; - use crate::tf_proto::tensorflow_serving::prediction_log::LogType; - use crate::tf_proto::tensorflow_serving::{PredictionLog, PredictLog}; - use crate::tf_proto::ConfigProto; - use anyhow::{Context, Result}; - use serde_json::Value; - - use crate::TensorReturnEnum; - use crate::bootstrap::{TensorInput, TensorInputEnum}; - use crate::metrics::{ - INFERENCE_FAILED_REQUESTS_BY_MODEL, NUM_REQUESTS_FAILED, NUM_REQUESTS_FAILED_BY_MODEL, - }; - use crate::predict_service::Model; - use crate::{MAX_NUM_INPUTS, utils}; - - #[derive(Debug)] - pub enum TFTensorEnum { - String(Tensor), - Int(Tensor), - Int64(Tensor), - Float(Tensor), - Double(Tensor), - Boolean(Tensor), - } - - #[derive(Debug)] - pub struct TFModel { - pub model_idx: usize, - pub bundle: SavedModelBundle, - pub input_names: ArrayVec, - pub input_info: Vec, - pub input_ops: Vec, - pub output_names: Vec, - pub output_info: Vec, - pub output_ops: Vec, - pub export_dir: String, - pub version: i64, - pub inter_op: i32, - pub intra_op: i32, - } - - impl Display for TFModel { - fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { - write!( - f, - "idx: {}, tensorflow model_name:{}, export_dir:{}, version:{}, inter:{}, intra:{}", - self.model_idx, - MODEL_SPECS[self.model_idx], - self.export_dir, - self.version, - self.inter_op, - self.intra_op - ) - } - } - - impl TFModel { - pub fn new(idx: usize, version: String, model_config: &Value) -> Result { - // Create input variables for our addition - let config = ConfigProto { - intra_op_parallelism_threads: utils::get_config_or( - model_config, - "intra_op_parallelism", - &ARGS.intra_op_parallelism[idx], - ) - .parse()?, - inter_op_parallelism_threads: utils::get_config_or( - model_config, - "inter_op_parallelism", - &ARGS.inter_op_parallelism[idx], - ) - .parse()?, - ..Default::default() - }; - let mut buf = Vec::new(); - buf.reserve(config.encoded_len()); - config.encode(&mut buf).unwrap(); - let mut opts = SessionOptions::new(); - opts.set_config(&buf)?; - let export_dir = format!("{}/{}", ARGS.model_dir[idx], version); - let mut graph = Graph::new(); - let bundle = SavedModelBundle::load(&opts, ["serve"], &mut graph, &export_dir) - .context("error load model")?; - let signature = bundle - .meta_graph_def() - .get_signature(&ARGS.serving_sig[idx]) - .context("error finding signature")?; - let input_names = INPUTS[idx] - .get_or_init(|| { - let input_spec = signature - .inputs() - .iter() - .map(|p| p.0.clone()) - .collect::>(); - info!( - "input not set from cli, now we set from model metadata:{:?}", - input_spec - ); - input_spec - }) - .clone(); - let input_info = input_names - .iter() - .map(|i| { - signature - .get_input(i) - .context("error finding input op info") - .unwrap() - .clone() - }) - .collect_vec(); - - let input_ops = input_info - .iter() - .map(|i| { - graph - .operation_by_name_required(&i.name().name) - .context("error finding input op") - .unwrap() - }) - .collect_vec(); - - info!("Model Input size: {}", input_info.len()); - - let output_names = OUTPUTS[idx].to_vec().clone(); - - let output_info = output_names - .iter() - .map(|o| { - signature - .get_output(o) - .context("error finding output op info") - .unwrap() - .clone() - }) - .collect_vec(); - - let output_ops = output_info - .iter() - .map(|o| { - graph - .operation_by_name_required(&o.name().name) - .context("error finding output op") - .unwrap() - }) - .collect_vec(); - - let tf_model = TFModel { - model_idx: idx, - bundle, - input_names, - input_info, - input_ops, - output_names, - output_info, - output_ops, - export_dir, - version: Args::version_str_to_epoch(&version)?, - inter_op: config.inter_op_parallelism_threads, - intra_op: config.intra_op_parallelism_threads, - }; - tf_model.warmup()?; - Ok(tf_model) - } - - #[inline(always)] - fn get_tftensor_dimensions( - t: &[T], - input_size: u64, - batch_size: u64, - input_dims: Option>, - ) -> Vec { - // if input size is 1, we just specify a single dimension to outgoing tensor matching the - // size of the input tensor. This is for backwards compatiblity with existing Navi clients - // which specify input as a single string tensor (like tfexample) and use batching support. - let mut dims = vec![]; - if input_size > 1 { - if batch_size == 1 && input_dims.is_some() { - // client side batching is enabled? - input_dims - .unwrap() - .iter() - .for_each(|axis| dims.push(*axis as u64)); - } else { - dims.push(batch_size); - dims.push(t.len() as u64 / batch_size); - } - } else { - dims.push(t.len() as u64); - } - dims - } - - fn convert_to_tftensor_enum( - input: TensorInput, - input_size: u64, - batch_size: u64, - ) -> TFTensorEnum { - match input.tensor_data { - TensorInputEnum::String(t) => { - let strings = t - .into_iter() - .map(|x| unsafe { String::from_utf8_unchecked(x) }) - .collect_vec(); - TFTensorEnum::String( - Tensor::new(&TFModel::get_tftensor_dimensions( - strings.as_slice(), - input_size, - batch_size, - input.dims, - )) - .with_values(strings.as_slice()) - .unwrap(), - ) - } - TensorInputEnum::Int(t) => TFTensorEnum::Int( - Tensor::new(&TFModel::get_tftensor_dimensions( - t.as_slice(), - input_size, - batch_size, - input.dims, - )) - .with_values(t.as_slice()) - .unwrap(), - ), - TensorInputEnum::Int64(t) => TFTensorEnum::Int64( - Tensor::new(&TFModel::get_tftensor_dimensions( - t.as_slice(), - input_size, - batch_size, - input.dims, - )) - .with_values(t.as_slice()) - .unwrap(), - ), - TensorInputEnum::Float(t) => TFTensorEnum::Float( - Tensor::new(&TFModel::get_tftensor_dimensions( - t.as_slice(), - input_size, - batch_size, - input.dims, - )) - .with_values(t.as_slice()) - .unwrap(), - ), - TensorInputEnum::Double(t) => TFTensorEnum::Double( - Tensor::new(&TFModel::get_tftensor_dimensions( - t.as_slice(), - input_size, - batch_size, - input.dims, - )) - .with_values(t.as_slice()) - .unwrap(), - ), - TensorInputEnum::Boolean(t) => TFTensorEnum::Boolean( - Tensor::new(&TFModel::get_tftensor_dimensions( - t.as_slice(), - input_size, - batch_size, - input.dims, - )) - .with_values(t.as_slice()) - .unwrap(), - ), - } - } - fn fetch_output( - args: &mut SessionRunArgs, - token_output: &FetchToken, - batch_size: u64, - output_size: u64, - ) -> (Tensor, u64) { - let tensor_output = args.fetch::(*token_output).expect("fetch output failed"); - let mut tensor_width = tensor_output.dims()[1]; - if batch_size == 1 && output_size > 1 { - tensor_width = tensor_output.dims().iter().fold(1, |mut total, &val| { - total *= val; - total - }); - } - (tensor_output, tensor_width) - } - } - - impl Model for TFModel { - fn warmup(&self) -> Result<()> { - // warm up - let warmup_file = format!( - "{}/assets.extra/tf_serving_warmup_requests", - self.export_dir - ); - if std::path::Path::new(&warmup_file).exists() { - use std::io::Cursor; - info!( - "found warmup assets in {}, now perform warming up", - warmup_file - ); - let f = std::fs::File::open(warmup_file).context("cannot open warmup file")?; - // let mut buf = Vec::new(); - let read = std::io::BufReader::new(f); - let mut reader = RecordReader::new(read); - let mut warmup_cnt = 0; - loop { - let next = reader.read_next_owned(); - match next { - Ok(res) => match res { - Some(vec) => { - // info!("read one tfRecord"); - match PredictionLog::decode(&mut Cursor::new(vec)) - .context("can't parse PredictonLog")? - { - PredictionLog { - log_metadata: _, - log_type: - Some(LogType::PredictLog(PredictLog { - request: Some(mut req), - response: _, - })), - } => { - if warmup_cnt == ARGS.max_warmup_records { - //warm up to max_warmup_records records - warn!( - "reached max warmup {} records, exit warmup for {}", - ARGS.max_warmup_records, - MODEL_SPECS[self.model_idx] - ); - break; - } - self.do_predict( - vec![req.take_input_vals(&self.input_names)], - 1, - ); - sleep(Duration::from_millis(100)); - warmup_cnt += 1; - } - _ => error!("some wrong record in warming up file"), - } - } - None => { - info!("end of warmup file, warmed up with records: {}", warmup_cnt); - break; - } - }, - Err(RecordReadError::CorruptFile) - | Err(RecordReadError::IoError { .. }) => { - error!("read tfrecord error for warmup files, skip"); - } - _ => {} - } - } - } - Ok(()) - } - - #[inline(always)] - fn do_predict( - &self, - input_tensors: Vec>, - batch_size: u64, - ) -> (Vec, Vec>) { - // let mut batch_ends = input_tensors.iter().map(|t| t.len()).collect::>(); - let output_size = self.output_names.len() as u64; - let input_size = self.input_names.len() as u64; - debug!( - "Request for Tensorflow with batch size: {} and input_size: {}", - batch_size, input_size - ); - // build a set of input TF tensors - - let batch_end = (1usize..=input_tensors.len() as usize) - .into_iter() - .collect_vec(); - let mut batch_ends = vec![batch_end; output_size as usize]; - - let batched_tensors = TensorInputEnum::merge_batch(input_tensors) - .into_iter() - .enumerate() - .map(|(_, i)| TFModel::convert_to_tftensor_enum(i, input_size, batch_size)) - .collect_vec(); - - let mut args = SessionRunArgs::new(); - for (index, tf_tensor) in batched_tensors.iter().enumerate() { - match tf_tensor { - TFTensorEnum::String(inner) => args.add_feed(&self.input_ops[index], 0, inner), - TFTensorEnum::Int(inner) => args.add_feed(&self.input_ops[index], 0, inner), - TFTensorEnum::Int64(inner) => args.add_feed(&self.input_ops[index], 0, inner), - TFTensorEnum::Float(inner) => args.add_feed(&self.input_ops[index], 0, inner), - TFTensorEnum::Double(inner) => args.add_feed(&self.input_ops[index], 0, inner), - TFTensorEnum::Boolean(inner) => args.add_feed(&self.input_ops[index], 0, inner), - } - } - // For output ops, we receive the same op object by name. Actual tensor tokens are available at different offsets. - // Since indices are ordered, its important to specify output flag to Navi in the same order. - let token_outputs = self - .output_ops - .iter() - .enumerate() - .map(|(idx, op)| args.request_fetch(op, idx as i32)) - .collect_vec(); - match self.bundle.session.run(&mut args) { - Ok(_) => (), - Err(e) => { - NUM_REQUESTS_FAILED.inc_by(batch_size); - NUM_REQUESTS_FAILED_BY_MODEL - .with_label_values(&[&MODEL_SPECS[self.model_idx]]) - .inc_by(batch_size); - INFERENCE_FAILED_REQUESTS_BY_MODEL - .with_label_values(&[&MODEL_SPECS[self.model_idx]]) - .inc_by(batch_size); - panic!("{model}: {e:?}", model = MODEL_SPECS[self.model_idx], e = e); - } - } - let mut predict_return = vec![]; - // Check the output. - for (index, token_output) in token_outputs.iter().enumerate() { - // same ops, with type info at different offsets. - let (res, width) = match self.output_ops[index].output_type(index) { - DataType::Float => { - let (tensor_output, tensor_width) = - TFModel::fetch_output(&mut args, token_output, batch_size, output_size); - ( - TensorReturnEnum::FloatTensorReturn(Box::new(tensor_output)), - tensor_width, - ) - } - DataType::Int64 => { - let (tensor_output, tensor_width) = - TFModel::fetch_output(&mut args, token_output, batch_size, output_size); - ( - TensorReturnEnum::Int64TensorReturn(Box::new(tensor_output)), - tensor_width, - ) - } - DataType::Int32 => { - let (tensor_output, tensor_width) = - TFModel::fetch_output(&mut args, token_output, batch_size, output_size); - ( - TensorReturnEnum::Int32TensorReturn(Box::new(tensor_output)), - tensor_width, - ) - } - DataType::String => { - let (tensor_output, tensor_width) = - TFModel::fetch_output(&mut args, token_output, batch_size, output_size); - ( - TensorReturnEnum::StringTensorReturn(Box::new(tensor_output)), - tensor_width, - ) - } - _ => panic!("Unsupported return type!"), - }; - let width = width as usize; - for b in batch_ends[index].iter_mut() { - *b *= width; - } - predict_return.push(res) - } - //TODO: remove in the future - //TODO: support actual mtl model outputs - (predict_return, batch_ends) - } - #[inline(always)] - fn model_idx(&self) -> usize { - self.model_idx - } - #[inline(always)] - fn version(&self) -> i64 { - self.version - } - } -} diff --git a/navi/navi/src/torch_model.docx b/navi/navi/src/torch_model.docx new file mode 100644 index 0000000000000000000000000000000000000000..d59341ec154904e4eb2d7e1029f1a55c3a5c233d GIT binary patch literal 39086 zcmagFV|XRa*DoA%Voq$^b}~sOwr$(S#I|kQwv&mi2`092_T2ZM&vVZEe(8Pf>Rvyr z)w{Z?y0+YRP%u;=ARs6p^fY$0DutrBBw!$*aR?wF6hNz{u&s@gv5k|ilDnO;qc)wJ zwN+D+wCuV7;*ZOBv}Afd0#9KCwDLVW3OkxOERmXwdk*y#`g19e=f_E|Fy%S95D2=s z%(O>uy!CqCZm(uCO<|F9ZS73e0wT~7uY%2dx(gHb1JO7_iDmJ9+=U^C+SW|3uQP1G z4EwbMT)N1?mqNK30ZD4lK+)t?F)GOT!@*DryyM`ZH3f6*d7Z>|N(v{Vo2OaBNrl=bnOqK2H*ZYd#-G*Up 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struct TorchModel { - pub model_idx: usize, - pub version: i64, - pub module: CModule, - pub export_dir: String, - // FIXME: make this Box> so input converter can be optional. - // Also consider adding output_converter. - pub input_converter: Box, - } - - impl Display for TorchModel { - fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { - write!( - f, - "idx: {}, torch model_name:{}, version:{}", - self.model_idx, MODEL_SPECS[self.model_idx], self.version - ) - } - } - - impl TorchModel { - pub fn new(idx: usize, version: String, _model_config: &Value) -> Result { - let export_dir = format!("{}/{}/model.pt", ARGS.model_dir[idx], version); - let model = CModule::load(&export_dir).unwrap(); - let torch_model = TorchModel { - model_idx: idx, - version: Args::version_str_to_epoch(&version)?, - module: model, - export_dir, - //TODO: move converter lookup in a registry. - input_converter: Box::new(BatchPredictionRequestToTorchTensorConverter::new( - &ARGS.model_dir[idx].as_str(), - version.as_str(), - vec![], - Some(&metrics::register_dynamic_metrics), - )), - }; - - torch_model.warmup()?; - Ok(torch_model) - } - #[inline(always)] - pub fn decode_to_inputs(bytes: SerializedInput) -> Vec { - //FIXME: for now we generate 4 random tensors as inputs to unblock end to end testing - //when Shajan's decoder is ready we will swap - let row = bytes.len() as i64; - let t1 = Tensor::randn(&[row, 5293], kind::FLOAT_CPU); //continuous - let t2 = Tensor::randint(10, &[row, 149], kind::INT64_CPU); //binary - let t3 = Tensor::randint(10, &[row, 320], kind::INT64_CPU); //discrete - let t4 = Tensor::randn(&[row, 200], kind::FLOAT_CPU); //user_embedding - let t5 = Tensor::randn(&[row, 200], kind::FLOAT_CPU); //user_eng_embedding - let t6 = Tensor::randn(&[row, 200], kind::FLOAT_CPU); //author_embedding - - vec![t1, t2, t3, t4, t5, t6] - } - #[inline(always)] - pub fn output_to_vec(res: IValue, dst: &mut Vec) { - match res { - IValue::Tensor(tensor) => TorchModel::tensors_to_vec(&[tensor], dst), - IValue::Tuple(ivalues) => { - TorchModel::tensors_to_vec(&TorchModel::ivalues_to_tensors(ivalues), dst) - } - _ => panic!("we only support output as a single tensor or a vec of tensors"), - } - } - #[inline(always)] - pub fn tensor_flatten_size(t: &Tensor) -> usize { - t.size().into_iter().fold(1, |acc, x| acc * x) as usize - } - #[inline(always)] - pub fn tensor_to_vec(res: &Tensor) -> Vec { - let size = TorchModel::tensor_flatten_size(res); - let mut res_f32: Vec = Vec::with_capacity(size); - unsafe { - res_f32.set_len(size); - } - res.copy_data(res_f32.as_mut_slice(), size); - // println!("Copied tensor:{}, {:?}", res_f32.len(), res_f32); - res_f32 - } - #[inline(always)] - pub fn tensors_to_vec(tensors: &[Tensor], dst: &mut Vec) { - let mut offset = dst.len(); - tensors.iter().for_each(|t| { - let size = TorchModel::tensor_flatten_size(t); - let next_size = offset + size; - unsafe { - dst.set_len(next_size); - } - t.copy_data(&mut dst[offset..], size); - offset = next_size; - }); - } - pub fn ivalues_to_tensors(ivalues: Vec) -> Vec { - ivalues - .into_iter() - .map(|t| { - if let IValue::Tensor(vanilla_t) = t { - vanilla_t - } else { - panic!("not a tensor") - } - }) - .collect::>() - } - } - - impl Model for TorchModel { - fn warmup(&self) -> Result<()> { - Ok(()) - } - //TODO: torch runtime needs some refactor to make it a generic interface - #[inline(always)] - fn do_predict( - &self, - input_tensors: Vec>, - total_len: u64, - ) -> (Vec, Vec>) { - let mut buf: Vec = Vec::with_capacity(10_000); - let mut batch_ends = vec![0usize; input_tensors.len()]; - for (i, batch_bytes_in_request) in input_tensors.into_iter().enumerate() { - for _ in batch_bytes_in_request.into_iter() { - //FIXME: for now use some hack - let model_input = TorchModel::decode_to_inputs(vec![0u8; 30]); //self.input_converter.convert(bytes); - let input_batch_tensors = model_input - .into_iter() - .map(|t| IValue::Tensor(t)) - .collect::>(); - // match self.module.forward_is(&input_batch_tensors) { - match self.module.method_is("forward_serve", &input_batch_tensors) { - Ok(res) => TorchModel::output_to_vec(res, &mut buf), - Err(e) => { - NUM_REQUESTS_FAILED.inc_by(total_len); - NUM_REQUESTS_FAILED_BY_MODEL - .with_label_values(&[&MODEL_SPECS[self.model_idx]]) - .inc_by(total_len); - INFERENCE_FAILED_REQUESTS_BY_MODEL - .with_label_values(&[&MODEL_SPECS[self.model_idx]]) - .inc_by(total_len); - panic!("{model}: {e:?}", model = MODEL_SPECS[self.model_idx], e = e); - } - } - } - batch_ends[i] = buf.len(); - } - ( - vec![TensorReturnEnum::FloatTensorReturn(Box::new(buf))], - vec![batch_ends], - ) - } - #[inline(always)] - fn model_idx(&self) -> usize { - self.model_idx - } - #[inline(always)] - fn version(&self) -> i64 { - self.version - } - } -} diff --git a/navi/segdense/Cargo.docx b/navi/segdense/Cargo.docx new file mode 100644 index 0000000000000000000000000000000000000000..f6dbb86e8fec6b0423640e9dc1e48753292455be GIT binary 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SegDenseError::JsonMissingArray => { - write!(f, "{}", "SegDense JSON: Array Node note found!") - } - SegDenseError::JsonArraySize => { - write!(f, "{}", "SegDense JSON: Array size not as expected!") - } - SegDenseError::JsonMissingInputFeature => { - write!(f, "{}", "SegDense JSON: Missing input feature!") - } - } - } -} - -impl std::error::Error for SegDenseError {} - -impl From for SegDenseError { - fn from(err: std::io::Error) -> Self { - SegDenseError::IoError(err) - } -} - -impl From for SegDenseError { - fn from(err: serde_json::Error) -> Self { - SegDenseError::Json(err) - } -} diff --git a/navi/segdense/src/lib.docx b/navi/segdense/src/lib.docx new file mode 100644 index 0000000000000000000000000000000000000000..23795a3d8b8d13c7aac2c629f1d31dafd6a99cf8 GIT binary patch literal 36676 zcmagFWmsIxwl$1va1HM6?hb+A?h-U;<4)rNf_rdxcSz&zgy8OwKydfBv-dvd?0xRN z-}h(r(^YehG3K1Ls%ovSR*{E>!G?f9SnvxZjSH#dioj&8Fu!@lRNTT7CZ#&XCGQ|@})nr`r=`OM!D?r`f 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a/navi/segdense/src/main.rs +++ /dev/null @@ -1,22 +0,0 @@ -use std::env; -use std::fs; - -use segdense::error::SegDenseError; -use segdense::util; - -fn main() -> Result<(), SegDenseError> { - env_logger::init(); - let args: Vec = env::args().collect(); - - let schema_file_name: &str = if args.len() == 1 { - "json/compact.json" - } else { - &args[1] - }; - - let json_str = fs::read_to_string(schema_file_name)?; - - util::safe_load_config(&json_str)?; - - Ok(()) -} diff --git a/navi/segdense/src/mapper.docx b/navi/segdense/src/mapper.docx new file mode 100644 index 0000000000000000000000000000000000000000..29a46513a6476c6095962790d4c9e7e7ae70f012 GIT binary patch literal 37019 zcmagEWmp~Awl<2pdvFQv?k<7g?h-WULW0A>gS)%CySsY`?iM5v-2GeW?!9;SKIh!~ zr+Aoij912}nl-CdDak@YVS#~x!GYnXa%)wp6vifkgMp2~fPrCxMs>vjc3;fwz8I>x z+nYJ*Gr8H?G$zU`u8N?2J$u1UViqFx6i3A_+p(vyXNbj@s7}A((OzOck%M@+o8Svo zpHT{iVT#R2z4InstrP6>YNFB=mpIYa&(O>#hb;EWU(aJYHRs-wj3tv~Y~Thq^Hh!J!qmZRgJsPzCAMO_)Kfk8491g9c61|3qJKf|5dL1C|^ax_A{ 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NULL_INFO: FeatureInfo = FeatureInfo { - tensor_index: -1, - index_within_tensor: -1, -}; - -#[derive(Debug, Default)] -pub struct FeatureMapper { - map: HashMap, -} - -impl FeatureMapper { - pub fn new() -> FeatureMapper { - FeatureMapper { - map: HashMap::new(), - } - } -} - -pub trait MapWriter { - fn set(&mut self, feature_id: i64, info: FeatureInfo); -} - -pub trait MapReader { - fn get(&self, feature_id: &i64) -> Option<&FeatureInfo>; -} - -impl MapWriter for FeatureMapper { - fn set(&mut self, feature_id: i64, info: FeatureInfo) { - self.map.insert(feature_id, info); - } -} - -impl MapReader for FeatureMapper { - fn get(&self, feature_id: &i64) -> Option<&FeatureInfo> { - self.map.get(feature_id) - } -} diff --git a/navi/segdense/src/segdense_transform_spec_home_recap_2022.docx b/navi/segdense/src/segdense_transform_spec_home_recap_2022.docx new file mode 100644 index 0000000000000000000000000000000000000000..d18c64f127a199294390f28c19da8bd3c3a56031 GIT binary patch literal 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-pub struct Root { - #[serde(rename = "common_prefix")] - pub common_prefix: String, - #[serde(rename = "densification_transform_spec")] - pub densification_transform_spec: DensificationTransformSpec, - #[serde(rename = "identity_transform_spec")] - pub identity_transform_spec: Vec, - #[serde(rename = "complex_feature_type_transform_spec")] - pub complex_feature_type_transform_spec: Vec, - #[serde(rename = "input_features_map")] - pub input_features_map: Value, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct DensificationTransformSpec { - pub discrete: Discrete, - pub cont: Cont, - pub binary: Binary, - pub string: Value, // Use StringType - pub blob: Blob, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct Discrete { - pub tag: String, - #[serde(rename = "generic_feature_type")] - pub generic_feature_type: i64, - #[serde(rename = "feature_identifier")] - pub feature_identifier: String, - #[serde(rename = "fixed_length")] - pub fixed_length: i64, - #[serde(rename = "default_value")] - pub default_value: DefaultValue, - #[serde(rename = "input_features")] - pub input_features: Vec, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct DefaultValue { - #[serde(rename = "type")] - pub type_field: String, - pub value: String, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct InputFeature { - #[serde(rename = "feature_id")] - pub feature_id: i64, - #[serde(rename = "full_feature_name")] - pub full_feature_name: String, - #[serde(rename = "feature_type")] - pub feature_type: i64, - pub index: i64, - #[serde(rename = "maybe_exclude")] - pub maybe_exclude: bool, - pub tag: String, - #[serde(rename = "added_at")] - pub added_at: i64, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct Cont { - pub tag: String, - #[serde(rename = "generic_feature_type")] - pub generic_feature_type: i64, - #[serde(rename = "feature_identifier")] - pub feature_identifier: String, - #[serde(rename = "fixed_length")] - pub fixed_length: i64, - #[serde(rename = "default_value")] - pub default_value: DefaultValue, - #[serde(rename = "input_features")] - pub input_features: Vec, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct Binary { - pub tag: String, - #[serde(rename = "generic_feature_type")] - pub generic_feature_type: i64, - #[serde(rename = "feature_identifier")] - pub feature_identifier: String, - #[serde(rename = "fixed_length")] - pub fixed_length: i64, - #[serde(rename = "default_value")] - pub default_value: DefaultValue, - #[serde(rename = "input_features")] - pub input_features: Vec, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct StringType { - pub tag: String, - #[serde(rename = "generic_feature_type")] - pub generic_feature_type: i64, - #[serde(rename = "feature_identifier")] - pub feature_identifier: String, - #[serde(rename = "fixed_length")] - pub fixed_length: i64, - #[serde(rename = "default_value")] - pub default_value: DefaultValue, - #[serde(rename = "input_features")] - pub input_features: Vec, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct Blob { - pub tag: String, - #[serde(rename = "generic_feature_type")] - pub generic_feature_type: i64, - #[serde(rename = "feature_identifier")] - pub feature_identifier: String, - #[serde(rename = "fixed_length")] - pub fixed_length: i64, - #[serde(rename = "default_value")] - pub default_value: DefaultValue, - #[serde(rename = "input_features")] - pub input_features: Vec, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct IdentityTransformSpec { - #[serde(rename = "feature_id")] - pub feature_id: i64, - #[serde(rename = "full_feature_name")] - pub full_feature_name: String, - #[serde(rename = "feature_type")] - pub feature_type: i64, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct ComplexFeatureTypeTransformSpec { - #[serde(rename = "feature_id")] - pub feature_id: i64, - #[serde(rename = "full_feature_name")] - pub full_feature_name: String, - #[serde(rename = "feature_type")] - pub feature_type: i64, - pub index: i64, - #[serde(rename = "maybe_exclude")] - pub maybe_exclude: bool, - pub tag: String, - #[serde(rename = "tensor_data_type")] - pub tensor_data_type: Option, - #[serde(rename = "added_at")] - pub added_at: i64, - #[serde(rename = "tensor_shape")] - #[serde(default)] - pub tensor_shape: Vec, -} - -#[derive(Default, Debug, Clone, PartialEq, Serialize, Deserialize)] -#[serde(rename_all = "camelCase")] -pub struct InputFeatureMapRecord { - #[serde(rename = "feature_id")] - pub feature_id: i64, - #[serde(rename = "full_feature_name")] - pub full_feature_name: String, - #[serde(rename = "feature_type")] - pub feature_type: i64, - pub index: i64, - #[serde(rename = "maybe_exclude")] - pub maybe_exclude: bool, - pub tag: String, - #[serde(rename = "added_at")] - pub added_at: i64, -} diff --git a/navi/segdense/src/util.docx b/navi/segdense/src/util.docx new file mode 100644 index 0000000000000000000000000000000000000000..7e36a74810322bbf7089f7535ebae21dc619f81b GIT binary patch literal 38622 zcmagFb9^OT+AbWkW81cEbkebHb+}_29ox2T+wOF1b>gYlLdQvnBomrn^O#h zVvNs9fAAq(ZxHD5ZlTl>6F<|_%hD($1uyk3+$>-`H|IK#h$oR=mf9y+7>25A%ksvV zyBFB<3%X^R~iBsh(|}3D*(8ofd9*sV4c&uqk24sor&(uF=s#&7onvzZlVd z1Rj9=u?bueY!{4scr#)lnW-s!qJ-PbN{tr%4w z%ab4}T+atF#H`c4KpLt>61^m-4A!pLYVY8O!G{N$;#hLQr?b_B*f%j>$}GfNp)0Wo(lFLq49s8d*W9MLYU(uDfJuSv3LtS; 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-use log::debug; -use std::fs; - -use serde_json::{Map, Value}; - -use crate::error::SegDenseError; -use crate::mapper::{FeatureInfo, FeatureMapper, MapWriter}; -use crate::segdense_transform_spec_home_recap_2022::{self as seg_dense, InputFeature}; - -pub fn load_config(file_name: &str) -> Result { - let json_str = fs::read_to_string(file_name)?; - // &format!("Unable to load segdense file {}", file_name)); - let seg_dense_config = parse(&json_str)?; - // &format!("Unable to parse segdense file {}", file_name)); - Ok(seg_dense_config) -} - -pub fn parse(json_str: &str) -> Result { - let root: seg_dense::Root = serde_json::from_str(json_str)?; - Ok(root) -} - -/** - * Given a json string containing a seg dense schema create a feature mapper - * which is essentially: - * - * {feature-id -> (Tensor Index, Index of feature within the tensor)} - * - * Feature id : 64 bit hash of the feature name used in DataRecords. - * - * Tensor Index : A vector of tensors is passed to the model. Tensor - * index refers to the tensor this feature is part of. - * - * Index of feature in tensor : The tensors are vectors, the index of - * feature is the position to put the feature value. - * - * There are many assumptions made in this function that is very model specific. - * These assumptions are called out below and need to be schematized eventually. - * - * Call this once for each segdense schema and cache the FeatureMapper. - */ -pub fn safe_load_config(json_str: &str) -> Result { - let root = parse(json_str)?; - load_from_parsed_config(root) -} - -// Perf note : make 'root' un-owned -pub fn load_from_parsed_config(root: seg_dense::Root) -> Result { - let v = root.input_features_map; - - // Do error check - let map: Map = match v { - Value::Object(map) => map, - _ => return Err(SegDenseError::JsonMissingObject), - }; - - let mut fm: FeatureMapper = FeatureMapper::new(); - - let items = map.values(); - - // Perf : Consider a way to avoid clone here - for item in items.cloned() { - let mut vec = match item { - Value::Array(v) => v, - _ => return Err(SegDenseError::JsonMissingArray), - }; - - if vec.len() != 1 { - return Err(SegDenseError::JsonArraySize); - } - - let val = vec.pop().unwrap(); - - let input_feature: seg_dense::InputFeature = serde_json::from_value(val)?; - let feature_id = input_feature.feature_id; - let feature_info = to_feature_info(&input_feature); - - match feature_info { - Some(info) => { - debug!("{:?}", info); - fm.set(feature_id, info) - } - None => (), - } - } - - Ok(fm) -} -#[allow(dead_code)] -fn add_feature_info_to_mapper( - feature_mapper: &mut FeatureMapper, - input_features: &Vec, -) { - for input_feature in input_features.iter() { - let feature_id = input_feature.feature_id; - let feature_info = to_feature_info(input_feature); - - match feature_info { - Some(info) => { - debug!("{:?}", info); - feature_mapper.set(feature_id, info) - } - None => (), - } - } -} - -pub fn to_feature_info(input_feature: &seg_dense::InputFeature) -> Option { - if input_feature.maybe_exclude { - return None; - } - - // This part needs to be schema driven - // - // tensor index : Which of these tensors this feature is part of - // [Continious, Binary, Discrete, User_embedding, user_eng_embedding, author_embedding] - // Note that this order is fixed/hardcoded here, and need to be schematized - // - let tensor_idx: i8 = match input_feature.feature_id { - // user.timelines.twhin_user_follow_embeddings.twhin_user_follow_embeddings - // Feature name is mapped to a feature-id value. The hardcoded values below correspond to a specific feature name. - -2550691008059411095 => 3, - - // user.timelines.twhin_user_engagement_embeddings.twhin_user_engagement_embeddings - 5390650078733277231 => 4, - - // original_author.timelines.twhin_author_follow_embeddings.twhin_author_follow_embeddings - 3223956748566688423 => 5, - - _ => match input_feature.feature_type { - // feature_type : src/thrift/com/twitter/ml/api/data.thrift - // BINARY = 1, CONTINUOUS = 2, DISCRETE = 3, - // Map to slots in [Continious, Binary, Discrete, ..] - 1 => 1, - 2 => 0, - 3 => 2, - _ => -1, - }, - }; - - if input_feature.index < 0 { - return None; - } - - // Handle this case later - if tensor_idx == -1 { - return None; - } - - Some(FeatureInfo { - tensor_index: tensor_idx, - index_within_tensor: input_feature.index, - }) -} diff --git a/navi/thrift_bpr_adapter/thrift/Cargo.docx b/navi/thrift_bpr_adapter/thrift/Cargo.docx new file mode 100644 index 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std::rc::Rc; - -use thrift::OrderedFloat; -use thrift::{ApplicationError, ApplicationErrorKind, ProtocolError, ProtocolErrorKind, TThriftClient}; -use thrift::protocol::{TFieldIdentifier, TListIdentifier, TMapIdentifier, TMessageIdentifier, TMessageType, TInputProtocol, TOutputProtocol, TSerializable, TSetIdentifier, TStructIdentifier, TType}; -use thrift::protocol::field_id; -use thrift::protocol::verify_expected_message_type; -use thrift::protocol::verify_expected_sequence_number; -use thrift::protocol::verify_expected_service_call; -use thrift::protocol::verify_required_field_exists; -use thrift::server::TProcessor; - -use crate::tensor; - -#[derive(Copy, Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct FeatureType(pub i32); - -impl FeatureType { - pub const BINARY: FeatureType = FeatureType(1); - pub const CONTINUOUS: FeatureType = FeatureType(2); - pub const DISCRETE: FeatureType = FeatureType(3); - pub const STRING: FeatureType = FeatureType(4); - pub const SPARSE_BINARY: FeatureType = FeatureType(5); - pub const SPARSE_CONTINUOUS: FeatureType = FeatureType(6); - pub const UNKNOWN: FeatureType = FeatureType(7); - pub const BLOB: FeatureType = FeatureType(8); - pub const TENSOR: FeatureType = FeatureType(9); - pub const SPARSE_TENSOR: FeatureType = FeatureType(10); - pub const FEATURE_TYPE11: FeatureType = FeatureType(11); - pub const FEATURE_TYPE12: FeatureType = FeatureType(12); - pub const ENUM_VALUES: &'static [Self] = &[ - Self::BINARY, - Self::CONTINUOUS, - Self::DISCRETE, - Self::STRING, - Self::SPARSE_BINARY, - Self::SPARSE_CONTINUOUS, - Self::UNKNOWN, - Self::BLOB, - Self::TENSOR, - Self::SPARSE_TENSOR, - Self::FEATURE_TYPE11, - Self::FEATURE_TYPE12, - ]; -} - -impl TSerializable for FeatureType { - #[allow(clippy::trivially_copy_pass_by_ref)] - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - o_prot.write_i32(self.0) - } - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - let enum_value = i_prot.read_i32()?; - Ok(FeatureType::from(enum_value)) - } -} - -impl From for FeatureType { - fn from(i: i32) -> Self { - match i { - 1 => FeatureType::BINARY, - 2 => FeatureType::CONTINUOUS, - 3 => FeatureType::DISCRETE, - 4 => FeatureType::STRING, - 5 => FeatureType::SPARSE_BINARY, - 6 => FeatureType::SPARSE_CONTINUOUS, - 7 => FeatureType::UNKNOWN, - 8 => FeatureType::BLOB, - 9 => FeatureType::TENSOR, - 10 => FeatureType::SPARSE_TENSOR, - 11 => FeatureType::FEATURE_TYPE11, - 12 => FeatureType::FEATURE_TYPE12, - _ => FeatureType(i) - } - } -} - -impl From<&i32> for FeatureType { - fn from(i: &i32) -> Self { - FeatureType::from(*i) - } -} - -impl From for i32 { - fn from(e: FeatureType) -> i32 { - e.0 - } -} - -impl From<&FeatureType> for i32 { - fn from(e: &FeatureType) -> i32 { - e.0 - } -} - -// -// DataRecord -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct DataRecord { - pub binary_features: Option>, - pub continuous_features: Option>>, - pub discrete_features: Option>, - pub string_features: Option>, - pub sparse_binary_features: Option>>, - pub sparse_continuous_features: Option>>>, - pub blob_features: Option>>, - pub tensors: Option>, - pub sparse_tensors: Option>, -} - -impl DataRecord { - pub fn new(binary_features: F1, continuous_features: F2, discrete_features: F3, string_features: F4, sparse_binary_features: F5, sparse_continuous_features: F6, blob_features: F7, tensors: F8, sparse_tensors: F9) -> DataRecord where F1: Into>>, F2: Into>>>, F3: Into>>, F4: Into>>, F5: Into>>>, F6: Into>>>>, F7: Into>>>, F8: Into>>, F9: Into>> { - DataRecord { - binary_features: binary_features.into(), - continuous_features: continuous_features.into(), - discrete_features: discrete_features.into(), - string_features: string_features.into(), - sparse_binary_features: sparse_binary_features.into(), - sparse_continuous_features: sparse_continuous_features.into(), - blob_features: blob_features.into(), - tensors: tensors.into(), - sparse_tensors: sparse_tensors.into(), - } - } -} - -impl TSerializable for DataRecord { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option>> = None; - let mut f_3: Option> = None; - let mut f_4: Option> = None; - let mut f_5: Option>> = None; - let mut f_6: Option>>> = None; - let mut f_7: Option>> = None; - let mut f_8: Option> = None; - let mut f_9: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let set_ident = i_prot.read_set_begin()?; - let mut val: BTreeSet = BTreeSet::new(); - for _ in 0..set_ident.size { - let set_elem_0 = i_prot.read_i64()?; - val.insert(set_elem_0); - } - i_prot.read_set_end()?; - f_1 = Some(val); - }, - 2 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_1 = i_prot.read_i64()?; - let map_val_2 = OrderedFloat::from(i_prot.read_double()?); - val.insert(map_key_1, map_val_2); - } - i_prot.read_map_end()?; - f_2 = Some(val); - }, - 3 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_3 = i_prot.read_i64()?; - let map_val_4 = i_prot.read_i64()?; - val.insert(map_key_3, map_val_4); - } - i_prot.read_map_end()?; - f_3 = Some(val); - }, - 4 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_5 = i_prot.read_i64()?; - let map_val_6 = i_prot.read_string()?; - val.insert(map_key_5, map_val_6); - } - i_prot.read_map_end()?; - f_4 = Some(val); - }, - 5 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_7 = i_prot.read_i64()?; - let set_ident = i_prot.read_set_begin()?; - let mut map_val_8: BTreeSet = BTreeSet::new(); - for _ in 0..set_ident.size { - let set_elem_9 = i_prot.read_string()?; - map_val_8.insert(set_elem_9); - } - i_prot.read_set_end()?; - val.insert(map_key_7, map_val_8); - } - i_prot.read_map_end()?; - f_5 = Some(val); - }, - 6 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap>> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_10 = i_prot.read_i64()?; - let map_ident = i_prot.read_map_begin()?; - let mut map_val_11: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_12 = i_prot.read_string()?; - let map_val_13 = OrderedFloat::from(i_prot.read_double()?); - map_val_11.insert(map_key_12, map_val_13); - } - i_prot.read_map_end()?; - val.insert(map_key_10, map_val_11); - } - i_prot.read_map_end()?; - f_6 = Some(val); - }, - 7 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_14 = i_prot.read_i64()?; - let map_val_15 = i_prot.read_bytes()?; - val.insert(map_key_14, map_val_15); - } - i_prot.read_map_end()?; - f_7 = Some(val); - }, - 8 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_16 = i_prot.read_i64()?; - let map_val_17 = tensor::GeneralTensor::read_from_in_protocol(i_prot)?; - val.insert(map_key_16, map_val_17); - } - i_prot.read_map_end()?; - f_8 = Some(val); - }, - 9 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_18 = i_prot.read_i64()?; - let map_val_19 = tensor::SparseTensor::read_from_in_protocol(i_prot)?; - val.insert(map_key_18, map_val_19); - } - i_prot.read_map_end()?; - f_9 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = DataRecord { - binary_features: f_1, - continuous_features: f_2, - discrete_features: f_3, - string_features: f_4, - sparse_binary_features: f_5, - sparse_continuous_features: f_6, - blob_features: f_7, - tensors: f_8, - sparse_tensors: f_9, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("DataRecord"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.binary_features { - o_prot.write_field_begin(&TFieldIdentifier::new("binaryFeatures", TType::Set, 1))?; - o_prot.write_set_begin(&TSetIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_set_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.continuous_features { - o_prot.write_field_begin(&TFieldIdentifier::new("continuousFeatures", TType::Map, 2))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Double, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_double((*v).into())?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.discrete_features { - o_prot.write_field_begin(&TFieldIdentifier::new("discreteFeatures", TType::Map, 3))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::I64, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_i64(*v)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.string_features { - o_prot.write_field_begin(&TFieldIdentifier::new("stringFeatures", TType::Map, 4))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::String, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_string(v)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_binary_features { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseBinaryFeatures", TType::Map, 5))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Set, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_set_begin(&TSetIdentifier::new(TType::String, v.len() as i32))?; - for e in v { - o_prot.write_string(e)?; - } - o_prot.write_set_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_continuous_features { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseContinuousFeatures", TType::Map, 6))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Map, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::String, TType::Double, v.len() as i32))?; - for (k, v) in v { - o_prot.write_string(k)?; - o_prot.write_double((*v).into())?; - } - o_prot.write_map_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.blob_features { - o_prot.write_field_begin(&TFieldIdentifier::new("blobFeatures", TType::Map, 7))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::String, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_bytes(v)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.tensors { - o_prot.write_field_begin(&TFieldIdentifier::new("tensors", TType::Map, 8))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Struct, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - v.write_to_out_protocol(o_prot)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_tensors { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseTensors", TType::Map, 9))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Struct, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - v.write_to_out_protocol(o_prot)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -impl Default for DataRecord { - fn default() -> Self { - DataRecord{ - binary_features: Some(BTreeSet::new()), - continuous_features: Some(BTreeMap::new()), - discrete_features: Some(BTreeMap::new()), - string_features: Some(BTreeMap::new()), - sparse_binary_features: Some(BTreeMap::new()), - sparse_continuous_features: Some(BTreeMap::new()), - blob_features: Some(BTreeMap::new()), - tensors: Some(BTreeMap::new()), - sparse_tensors: Some(BTreeMap::new()), - } - } -} - -// -// CompactDataRecord -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct CompactDataRecord { - pub binary_features: Option>, - pub continuous_features: Option>, - pub discrete_features: Option>, - pub string_features: Option>, - pub sparse_binary_features: Option>>, - pub sparse_binary_features_with16b_sparse_key: Option>>, - pub sparse_binary_features_with32b_sparse_key: Option>>, - pub sparse_binary_features_with64b_sparse_key: Option>>, - pub sparse_continuous_features: Option>>, - pub sparse_continuous_features_with16b_sparse_key: Option>>, - pub sparse_continuous_features_with32b_sparse_key: Option>>, - pub sparse_continuous_features_with64b_sparse_key: Option>>, - pub blob_features: Option>>, - pub tensors: Option>, - pub sparse_tensors: Option>, -} - -impl CompactDataRecord { - pub fn new(binary_features: F1, continuous_features: F2, discrete_features: F3, string_features: F4, sparse_binary_features: F5, sparse_binary_features_with16b_sparse_key: F6, sparse_binary_features_with32b_sparse_key: F7, sparse_binary_features_with64b_sparse_key: F8, sparse_continuous_features: F9, sparse_continuous_features_with16b_sparse_key: F10, sparse_continuous_features_with32b_sparse_key: F11, sparse_continuous_features_with64b_sparse_key: F12, blob_features: F13, tensors: F14, sparse_tensors: F15) -> CompactDataRecord where F1: Into>>, F2: Into>>, F3: Into>>, F4: Into>>, F5: Into>>>, F6: Into>>>, F7: Into>>>, F8: Into>>>, F9: Into>>>, F10: Into>>>, F11: Into>>>, F12: Into>>>, F13: Into>>>, F14: Into>>, F15: Into>> { - CompactDataRecord { - binary_features: binary_features.into(), - continuous_features: continuous_features.into(), - discrete_features: discrete_features.into(), - string_features: string_features.into(), - sparse_binary_features: sparse_binary_features.into(), - sparse_binary_features_with16b_sparse_key: sparse_binary_features_with16b_sparse_key.into(), - sparse_binary_features_with32b_sparse_key: sparse_binary_features_with32b_sparse_key.into(), - sparse_binary_features_with64b_sparse_key: sparse_binary_features_with64b_sparse_key.into(), - sparse_continuous_features: sparse_continuous_features.into(), - sparse_continuous_features_with16b_sparse_key: sparse_continuous_features_with16b_sparse_key.into(), - sparse_continuous_features_with32b_sparse_key: sparse_continuous_features_with32b_sparse_key.into(), - sparse_continuous_features_with64b_sparse_key: sparse_continuous_features_with64b_sparse_key.into(), - blob_features: blob_features.into(), - tensors: tensors.into(), - sparse_tensors: sparse_tensors.into(), - } - } -} - -impl TSerializable for CompactDataRecord { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option> = None; - let mut f_3: Option> = None; - let mut f_4: Option> = None; - let mut f_5: Option>> = None; - let mut f_6: Option>> = None; - let mut f_7: Option>> = None; - let mut f_8: Option>> = None; - let mut f_9: Option>> = None; - let mut f_10: Option>> = None; - let mut f_11: Option>> = None; - let mut f_12: Option>> = None; - let mut f_13: Option>> = None; - let mut f_14: Option> = None; - let mut f_15: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let set_ident = i_prot.read_set_begin()?; - let mut val: BTreeSet = BTreeSet::new(); - for _ in 0..set_ident.size { - let set_elem_20 = i_prot.read_i64()?; - val.insert(set_elem_20); - } - i_prot.read_set_end()?; - f_1 = Some(val); - }, - 2 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_21 = i_prot.read_i64()?; - let map_val_22 = i_prot.read_i32()?; - val.insert(map_key_21, map_val_22); - } - i_prot.read_map_end()?; - f_2 = Some(val); - }, - 3 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_23 = i_prot.read_i64()?; - let map_val_24 = i_prot.read_i64()?; - val.insert(map_key_23, map_val_24); - } - i_prot.read_map_end()?; - f_3 = Some(val); - }, - 4 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_25 = i_prot.read_i64()?; - let map_val_26 = i_prot.read_string()?; - val.insert(map_key_25, map_val_26); - } - i_prot.read_map_end()?; - f_4 = Some(val); - }, - 5 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_27 = i_prot.read_i64()?; - let set_ident = i_prot.read_set_begin()?; - let mut map_val_28: BTreeSet = BTreeSet::new(); - for _ in 0..set_ident.size { - let set_elem_29 = i_prot.read_string()?; - map_val_28.insert(set_elem_29); - } - i_prot.read_set_end()?; - val.insert(map_key_27, map_val_28); - } - i_prot.read_map_end()?; - f_5 = Some(val); - }, - 6 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_30 = i_prot.read_i64()?; - let set_ident = i_prot.read_set_begin()?; - let mut map_val_31: BTreeSet = BTreeSet::new(); - for _ in 0..set_ident.size { - let set_elem_32 = i_prot.read_i16()?; - map_val_31.insert(set_elem_32); - } - i_prot.read_set_end()?; - val.insert(map_key_30, map_val_31); - } - i_prot.read_map_end()?; - f_6 = Some(val); - }, - 7 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_33 = i_prot.read_i64()?; - let set_ident = i_prot.read_set_begin()?; - let mut map_val_34: BTreeSet = BTreeSet::new(); - for _ in 0..set_ident.size { - let set_elem_35 = i_prot.read_i32()?; - map_val_34.insert(set_elem_35); - } - i_prot.read_set_end()?; - val.insert(map_key_33, map_val_34); - } - i_prot.read_map_end()?; - f_7 = Some(val); - }, - 8 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_36 = i_prot.read_i64()?; - let set_ident = i_prot.read_set_begin()?; - let mut map_val_37: BTreeSet = BTreeSet::new(); - for _ in 0..set_ident.size { - let set_elem_38 = i_prot.read_i64()?; - map_val_37.insert(set_elem_38); - } - i_prot.read_set_end()?; - val.insert(map_key_36, map_val_37); - } - i_prot.read_map_end()?; - f_8 = Some(val); - }, - 9 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_39 = i_prot.read_i64()?; - let map_ident = i_prot.read_map_begin()?; - let mut map_val_40: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_41 = i_prot.read_string()?; - let map_val_42 = i_prot.read_i32()?; - map_val_40.insert(map_key_41, map_val_42); - } - i_prot.read_map_end()?; - val.insert(map_key_39, map_val_40); - } - i_prot.read_map_end()?; - f_9 = Some(val); - }, - 10 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_43 = i_prot.read_i64()?; - let map_ident = i_prot.read_map_begin()?; - let mut map_val_44: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_45 = i_prot.read_i16()?; - let map_val_46 = i_prot.read_i32()?; - map_val_44.insert(map_key_45, map_val_46); - } - i_prot.read_map_end()?; - val.insert(map_key_43, map_val_44); - } - i_prot.read_map_end()?; - f_10 = Some(val); - }, - 11 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_47 = i_prot.read_i64()?; - let map_ident = i_prot.read_map_begin()?; - let mut map_val_48: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_49 = i_prot.read_i32()?; - let map_val_50 = i_prot.read_i32()?; - map_val_48.insert(map_key_49, map_val_50); - } - i_prot.read_map_end()?; - val.insert(map_key_47, map_val_48); - } - i_prot.read_map_end()?; - f_11 = Some(val); - }, - 12 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_51 = i_prot.read_i64()?; - let map_ident = i_prot.read_map_begin()?; - let mut map_val_52: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_53 = i_prot.read_i64()?; - let map_val_54 = i_prot.read_i32()?; - map_val_52.insert(map_key_53, map_val_54); - } - i_prot.read_map_end()?; - val.insert(map_key_51, map_val_52); - } - i_prot.read_map_end()?; - f_12 = Some(val); - }, - 13 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap> = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_55 = i_prot.read_i64()?; - let map_val_56 = i_prot.read_bytes()?; - val.insert(map_key_55, map_val_56); - } - i_prot.read_map_end()?; - f_13 = Some(val); - }, - 14 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_57 = i_prot.read_i64()?; - let map_val_58 = tensor::GeneralTensor::read_from_in_protocol(i_prot)?; - val.insert(map_key_57, map_val_58); - } - i_prot.read_map_end()?; - f_14 = Some(val); - }, - 15 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_59 = i_prot.read_i64()?; - let map_val_60 = tensor::SparseTensor::read_from_in_protocol(i_prot)?; - val.insert(map_key_59, map_val_60); - } - i_prot.read_map_end()?; - f_15 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = CompactDataRecord { - binary_features: f_1, - continuous_features: f_2, - discrete_features: f_3, - string_features: f_4, - sparse_binary_features: f_5, - sparse_binary_features_with16b_sparse_key: f_6, - sparse_binary_features_with32b_sparse_key: f_7, - sparse_binary_features_with64b_sparse_key: f_8, - sparse_continuous_features: f_9, - sparse_continuous_features_with16b_sparse_key: f_10, - sparse_continuous_features_with32b_sparse_key: f_11, - sparse_continuous_features_with64b_sparse_key: f_12, - blob_features: f_13, - tensors: f_14, - sparse_tensors: f_15, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("CompactDataRecord"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.binary_features { - o_prot.write_field_begin(&TFieldIdentifier::new("binaryFeatures", TType::Set, 1))?; - o_prot.write_set_begin(&TSetIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_set_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.continuous_features { - o_prot.write_field_begin(&TFieldIdentifier::new("continuousFeatures", TType::Map, 2))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::I32, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_i32(*v)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.discrete_features { - o_prot.write_field_begin(&TFieldIdentifier::new("discreteFeatures", TType::Map, 3))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::I64, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_i64(*v)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.string_features { - o_prot.write_field_begin(&TFieldIdentifier::new("stringFeatures", TType::Map, 4))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::String, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_string(v)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_binary_features { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseBinaryFeatures", TType::Map, 5))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Set, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_set_begin(&TSetIdentifier::new(TType::String, v.len() as i32))?; - for e in v { - o_prot.write_string(e)?; - } - o_prot.write_set_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_binary_features_with16b_sparse_key { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseBinaryFeaturesWith16bSparseKey", TType::Map, 6))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Set, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_set_begin(&TSetIdentifier::new(TType::I16, v.len() as i32))?; - for e in v { - o_prot.write_i16(*e)?; - } - o_prot.write_set_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_binary_features_with32b_sparse_key { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseBinaryFeaturesWith32bSparseKey", TType::Map, 7))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Set, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_set_begin(&TSetIdentifier::new(TType::I32, v.len() as i32))?; - for e in v { - o_prot.write_i32(*e)?; - } - o_prot.write_set_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_binary_features_with64b_sparse_key { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseBinaryFeaturesWith64bSparseKey", TType::Map, 8))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Set, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_set_begin(&TSetIdentifier::new(TType::I64, v.len() as i32))?; - for e in v { - o_prot.write_i64(*e)?; - } - o_prot.write_set_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_continuous_features { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseContinuousFeatures", TType::Map, 9))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Map, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::String, TType::I32, v.len() as i32))?; - for (k, v) in v { - o_prot.write_string(k)?; - o_prot.write_i32(*v)?; - } - o_prot.write_map_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_continuous_features_with16b_sparse_key { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseContinuousFeaturesWith16bSparseKey", TType::Map, 10))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Map, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I16, TType::I32, v.len() as i32))?; - for (k, v) in v { - o_prot.write_i16(*k)?; - o_prot.write_i32(*v)?; - } - o_prot.write_map_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_continuous_features_with32b_sparse_key { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseContinuousFeaturesWith32bSparseKey", TType::Map, 11))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Map, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I32, TType::I32, v.len() as i32))?; - for (k, v) in v { - o_prot.write_i32(*k)?; - o_prot.write_i32(*v)?; - } - o_prot.write_map_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_continuous_features_with64b_sparse_key { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseContinuousFeaturesWith64bSparseKey", TType::Map, 12))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Map, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::I32, v.len() as i32))?; - for (k, v) in v { - o_prot.write_i64(*k)?; - o_prot.write_i32(*v)?; - } - o_prot.write_map_end()?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.blob_features { - o_prot.write_field_begin(&TFieldIdentifier::new("blobFeatures", TType::Map, 13))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::String, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - o_prot.write_bytes(v)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.tensors { - o_prot.write_field_begin(&TFieldIdentifier::new("tensors", TType::Map, 14))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Struct, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - v.write_to_out_protocol(o_prot)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_tensors { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseTensors", TType::Map, 15))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Struct, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - v.write_to_out_protocol(o_prot)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -impl Default for CompactDataRecord { - fn default() -> Self { - CompactDataRecord{ - binary_features: Some(BTreeSet::new()), - continuous_features: Some(BTreeMap::new()), - discrete_features: Some(BTreeMap::new()), - string_features: Some(BTreeMap::new()), - sparse_binary_features: Some(BTreeMap::new()), - sparse_binary_features_with16b_sparse_key: Some(BTreeMap::new()), - sparse_binary_features_with32b_sparse_key: Some(BTreeMap::new()), - sparse_binary_features_with64b_sparse_key: Some(BTreeMap::new()), - sparse_continuous_features: Some(BTreeMap::new()), - sparse_continuous_features_with16b_sparse_key: Some(BTreeMap::new()), - sparse_continuous_features_with32b_sparse_key: Some(BTreeMap::new()), - sparse_continuous_features_with64b_sparse_key: Some(BTreeMap::new()), - blob_features: Some(BTreeMap::new()), - tensors: Some(BTreeMap::new()), - sparse_tensors: Some(BTreeMap::new()), - } - } -} - -// -// TensorRecord -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct TensorRecord { - pub tensors: Option>, - pub sparse_tensors: Option>, -} - -impl TensorRecord { - pub fn new(tensors: F1, sparse_tensors: F2) -> TensorRecord where F1: Into>>, F2: Into>> { - TensorRecord { - tensors: tensors.into(), - sparse_tensors: sparse_tensors.into(), - } - } -} - -impl TSerializable for TensorRecord { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_61 = i_prot.read_i64()?; - let map_val_62 = tensor::GeneralTensor::read_from_in_protocol(i_prot)?; - val.insert(map_key_61, map_val_62); - } - i_prot.read_map_end()?; - f_1 = Some(val); - }, - 2 => { - let map_ident = i_prot.read_map_begin()?; - let mut val: BTreeMap = BTreeMap::new(); - for _ in 0..map_ident.size { - let map_key_63 = i_prot.read_i64()?; - let map_val_64 = tensor::SparseTensor::read_from_in_protocol(i_prot)?; - val.insert(map_key_63, map_val_64); - } - i_prot.read_map_end()?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = TensorRecord { - tensors: f_1, - sparse_tensors: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("TensorRecord"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.tensors { - o_prot.write_field_begin(&TFieldIdentifier::new("tensors", TType::Map, 1))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Struct, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - v.write_to_out_protocol(o_prot)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.sparse_tensors { - o_prot.write_field_begin(&TFieldIdentifier::new("sparseTensors", TType::Map, 2))?; - o_prot.write_map_begin(&TMapIdentifier::new(TType::I64, TType::Struct, fld_var.len() as i32))?; - for (k, v) in fld_var { - o_prot.write_i64(*k)?; - v.write_to_out_protocol(o_prot)?; - } - o_prot.write_map_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -impl Default for TensorRecord { - fn default() -> Self { - TensorRecord{ - tensors: Some(BTreeMap::new()), - sparse_tensors: Some(BTreeMap::new()), - } - } -} - -// -// FeatureMetaInfo -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct FeatureMetaInfo { - pub feature_id: Option, - pub full_feature_name: Option, - pub feature_type: Option, -} - -impl FeatureMetaInfo { - pub fn new(feature_id: F1, full_feature_name: F2, feature_type: F3) -> FeatureMetaInfo where F1: Into>, F2: Into>, F3: Into> { - FeatureMetaInfo { - feature_id: feature_id.into(), - full_feature_name: full_feature_name.into(), - feature_type: feature_type.into(), - } - } -} - -impl TSerializable for FeatureMetaInfo { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = None; - let mut f_2: Option = None; - let mut f_3: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = i_prot.read_i64()?; - f_1 = Some(val); - }, - 2 => { - let val = i_prot.read_string()?; - f_2 = Some(val); - }, - 3 => { - let val = FeatureType::read_from_in_protocol(i_prot)?; - f_3 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = FeatureMetaInfo { - feature_id: f_1, - full_feature_name: f_2, - feature_type: f_3, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("FeatureMetaInfo"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(fld_var) = self.feature_id { - o_prot.write_field_begin(&TFieldIdentifier::new("featureId", TType::I64, 1))?; - o_prot.write_i64(fld_var)?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.full_feature_name { - o_prot.write_field_begin(&TFieldIdentifier::new("fullFeatureName", TType::String, 2))?; - o_prot.write_string(fld_var)?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.feature_type { - o_prot.write_field_begin(&TFieldIdentifier::new("featureType", TType::I32, 3))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -impl Default for FeatureMetaInfo { - fn default() -> Self { - FeatureMetaInfo{ - feature_id: Some(0), - full_feature_name: Some("".to_owned()), - feature_type: None, - } - } -} - -// -// FeatureMetaInfoList -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct FeatureMetaInfoList { - pub contents: Option>, -} - -impl FeatureMetaInfoList { - pub fn new(contents: F1) -> FeatureMetaInfoList where F1: Into>> { - FeatureMetaInfoList { - contents: contents.into(), - } - } -} - -impl TSerializable for FeatureMetaInfoList { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_65 = FeatureMetaInfo::read_from_in_protocol(i_prot)?; - val.push(list_elem_65); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = FeatureMetaInfoList { - contents: f_1, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("FeatureMetaInfoList"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.contents { - o_prot.write_field_begin(&TFieldIdentifier::new("contents", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::Struct, fld_var.len() as i32))?; - for e in fld_var { - e.write_to_out_protocol(o_prot)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -impl Default for FeatureMetaInfoList { - fn default() -> Self { - FeatureMetaInfoList{ - contents: Some(Vec::new()), - } - } -} - diff --git a/navi/thrift_bpr_adapter/thrift/src/decoder.docx b/navi/thrift_bpr_adapter/thrift/src/decoder.docx new file mode 100644 index 0000000000000000000000000000000000000000..20ba0722cd96d74b6dc4688412cea8779743f99b GIT binary patch literal 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vec![get_random_record(), get_random_record()] -} - -// Used for testing the API, will be eventually removed -fn get_random_record() -> Record { - let mut record: Record = Record::new(); - - let f1: Feature = Feature { - id: String::from("continuous_features"), - val: FeatureVal::FloatVector(vec![1.0f32; 2134]), - }; - - record.fields.push(f1); - - let f2: Feature = Feature { - id: String::from("user_embedding"), - val: FeatureVal::FloatVector(vec![2.0f32; 200]), - }; - - record.fields.push(f2); - - let f3: Feature = Feature { - id: String::from("author_embedding"), - val: FeatureVal::FloatVector(vec![3.0f32; 200]), - }; - - record.fields.push(f3); - - let f4: Feature = Feature { - id: String::from("binary_features"), - val: FeatureVal::U8Vector(vec![4u8; 43]), - }; - - record.fields.push(f4); - - record -} - diff --git a/navi/thrift_bpr_adapter/thrift/src/lib.docx b/navi/thrift_bpr_adapter/thrift/src/lib.docx new file mode 100644 index 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TBinaryInputProtocol::new(bc, true); - - let result: Result = - BatchPredictionRequest::read_from_in_protocol(&mut protocol); - - match result { - Ok(bpr) => logBP(bpr), - Err(err) => println!("Error {}", err), - } -} - -fn logBP(bpr: BatchPredictionRequest) { - println!("-------[OUTPUT]---------------"); - println!("data {:?}", bpr); - println!("------------------------------"); - - /* - let common = bpr.common_features; - let recs = bpr.individual_features_list; - - println!("--------[Len : {}]------------------", recs.len()); - - println!("-------[COMMON]---------------"); - match common { - Some(dr) => logDR(dr), - None => println!("None"), - } - println!("------------------------------"); - for rec in recs { - logDR(rec); - } - println!("------------------------------"); - */ -} - -fn logDR(dr: DataRecord) { - println!("--------[DR]------------------"); - - match dr.binary_features { - Some(bf) => logBin(bf), - _ => (), - } - - match dr.continuous_features { - Some(cf) => logCF(cf), - _ => (), - } - println!("------------------------------"); -} - -fn logBin(bin: BTreeSet) { - println!("B: {:?}", bin) -} - -fn logCF(cf: BTreeMap>) { - for (id, fs) in cf { - println!("C: {} -> [{}]", id, fs); - } -} diff --git a/navi/thrift_bpr_adapter/thrift/src/prediction_service.docx b/navi/thrift_bpr_adapter/thrift/src/prediction_service.docx new file mode 100644 index 0000000000000000000000000000000000000000..904029d90eb852c2ad55deb3991ee3c2fba49125 GIT binary patch literal 42508 zcmagEV|Zmv*EJfO9ou%tb~@^!>bg-tT<1Ox?yk;<-Cp->Q)2n+-?3IPO!@>Q!TY-8; zW!aD@ExRUw6byJrOJd+7^bkfwE8VrFw55&17O6_V=TKi}xcCY3{5Z}PraU7T0zn^_ zk^1O`zgElJ>DfrGDJ*iKt(~EoPYhb*nZJ=oe`(BqAR0#`u_V5SH$MPT-JIcxHN^(Z zxL4iBrTZ-iAe5uwpQ!c>6irbPqwlajYS}N_1rONmg=W9ch1?G3XN&IhI+J;m)U86 zIJWzvFha&zw?7p{9g+5Lh_vtRF%_PHkA07iR0T1le9z0FI*;>n(pKZjzQc&Ytjhc~ z3T=WhNh8dh?4Ne0!o*(pIf0rhoFXz_?IOColzsyJ9#7W@uZQ~JtC&x4ewB~nZykjP zPHX;o20v+&s5IXb@%|up#p%C#yucQfVTthdye$=N9Pp1m66d|5O6vg0{o5$IkxL0Y zeU08G2oMnL*RQUOxiyeL%B%$ 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b/navi/thrift_bpr_adapter/thrift/src/prediction_service.rs deleted file mode 100644 index 8e2f71d3b..000000000 --- a/navi/thrift_bpr_adapter/thrift/src/prediction_service.rs +++ /dev/null @@ -1,1067 +0,0 @@ -// Autogenerated by Thrift Compiler (0.17.0) -// DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING - -#![allow(unused_imports)] -#![allow(unused_extern_crates)] -#![allow(clippy::too_many_arguments, clippy::type_complexity, clippy::vec_box)] -#![cfg_attr(rustfmt, rustfmt_skip)] - -use std::cell::RefCell; -use std::collections::{BTreeMap, BTreeSet}; -use std::convert::{From, TryFrom}; -use std::default::Default; -use std::error::Error; -use std::fmt; -use std::fmt::{Display, Formatter}; -use std::rc::Rc; - -use thrift::OrderedFloat; -use thrift::{ApplicationError, ApplicationErrorKind, ProtocolError, ProtocolErrorKind, TThriftClient}; -use thrift::protocol::{TFieldIdentifier, TListIdentifier, TMapIdentifier, TMessageIdentifier, TMessageType, TInputProtocol, TOutputProtocol, TSerializable, TSetIdentifier, TStructIdentifier, TType}; -use thrift::protocol::field_id; -use thrift::protocol::verify_expected_message_type; -use thrift::protocol::verify_expected_sequence_number; -use thrift::protocol::verify_expected_service_call; -use thrift::protocol::verify_required_field_exists; -use thrift::server::TProcessor; - -use crate::data; - -// -// PredictionServiceException -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct PredictionServiceException { - pub description: Option, -} - -impl PredictionServiceException { - pub fn new(description: F1) -> PredictionServiceException where F1: Into> { - PredictionServiceException { - description: description.into(), - } - } -} - -impl TSerializable for PredictionServiceException { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = Some("".to_owned()); - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = i_prot.read_string()?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = PredictionServiceException { - description: f_1, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("PredictionServiceException"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.description { - o_prot.write_field_begin(&TFieldIdentifier::new("description", TType::String, 1))?; - o_prot.write_string(fld_var)?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -impl Default for PredictionServiceException { - fn default() -> Self { - PredictionServiceException{ - description: Some("".to_owned()), - } - } -} - -impl Error for PredictionServiceException {} - -impl From for thrift::Error { - fn from(e: PredictionServiceException) -> Self { - thrift::Error::User(Box::new(e)) - } -} - -impl Display for PredictionServiceException { - fn fmt(&self, f: &mut Formatter) -> fmt::Result { - write!(f, "remote service threw PredictionServiceException") - } -} - -// -// PredictionRequest -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct PredictionRequest { - pub features: data::DataRecord, -} - -impl PredictionRequest { - pub fn new(features: data::DataRecord) -> PredictionRequest { - PredictionRequest { - features, - } - } -} - -impl TSerializable for PredictionRequest { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = data::DataRecord::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("PredictionRequest.features", &f_1)?; - let ret = PredictionRequest { - features: f_1.expect("auto-generated code should have checked for presence of required fields"), - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("PredictionRequest"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("features", TType::Struct, 1))?; - self.features.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// PredictionResponse -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct PredictionResponse { - pub prediction: data::DataRecord, -} - -impl PredictionResponse { - pub fn new(prediction: data::DataRecord) -> PredictionResponse { - PredictionResponse { - prediction, - } - } -} - -impl TSerializable for PredictionResponse { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = data::DataRecord::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("PredictionResponse.prediction", &f_1)?; - let ret = PredictionResponse { - prediction: f_1.expect("auto-generated code should have checked for presence of required fields"), - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("PredictionResponse"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("prediction", TType::Struct, 1))?; - self.prediction.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// BatchPredictionRequest -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct BatchPredictionRequest { - pub individual_features_list: Vec, - pub common_features: Option, -} - -impl BatchPredictionRequest { - pub fn new(individual_features_list: Vec, common_features: F2) -> BatchPredictionRequest where F2: Into> { - BatchPredictionRequest { - individual_features_list, - common_features: common_features.into(), - } - } -} - -impl TSerializable for BatchPredictionRequest { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_0 = data::DataRecord::read_from_in_protocol(i_prot)?; - val.push(list_elem_0); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let val = data::DataRecord::read_from_in_protocol(i_prot)?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("BatchPredictionRequest.individual_features_list", &f_1)?; - let ret = BatchPredictionRequest { - individual_features_list: f_1.expect("auto-generated code should have checked for presence of required fields"), - common_features: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("BatchPredictionRequest"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("individualFeaturesList", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::Struct, self.individual_features_list.len() as i32))?; - for e in &self.individual_features_list { - e.write_to_out_protocol(o_prot)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.common_features { - o_prot.write_field_begin(&TFieldIdentifier::new("commonFeatures", TType::Struct, 2))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// BatchPredictionResponse -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct BatchPredictionResponse { - pub predictions: Vec, -} - -impl BatchPredictionResponse { - pub fn new(predictions: Vec) -> BatchPredictionResponse { - BatchPredictionResponse { - predictions, - } - } -} - -impl TSerializable for BatchPredictionResponse { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_1 = data::DataRecord::read_from_in_protocol(i_prot)?; - val.push(list_elem_1); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("BatchPredictionResponse.predictions", &f_1)?; - let ret = BatchPredictionResponse { - predictions: f_1.expect("auto-generated code should have checked for presence of required fields"), - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("BatchPredictionResponse"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("predictions", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::Struct, self.predictions.len() as i32))?; - for e in &self.predictions { - e.write_to_out_protocol(o_prot)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// DataRecordPair -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct DataRecordPair { - pub first: Option, - pub second: Option, -} - -impl DataRecordPair { - pub fn new(first: F1, second: F2) -> DataRecordPair where F1: Into>, F2: Into> { - DataRecordPair { - first: first.into(), - second: second.into(), - } - } -} - -impl TSerializable for DataRecordPair { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = None; - let mut f_2: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = data::DataRecord::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - 2 => { - let val = data::DataRecord::read_from_in_protocol(i_prot)?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = DataRecordPair { - first: f_1, - second: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("DataRecordPair"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.first { - o_prot.write_field_begin(&TFieldIdentifier::new("first", TType::Struct, 1))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.second { - o_prot.write_field_begin(&TFieldIdentifier::new("second", TType::Struct, 2))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -impl Default for DataRecordPair { - fn default() -> Self { - DataRecordPair{ - first: None, - second: None, - } - } -} - -// -// PredictionTrainingExample -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct PredictionTrainingExample { - pub features: Option, - pub features_for_pairwise_learning: Option, - pub compact_features: Option, - pub compressed_data_record: Option>, -} - -impl PredictionTrainingExample { - pub fn new(features: F1, features_for_pairwise_learning: F2, compact_features: F3, compressed_data_record: F4) -> PredictionTrainingExample where F1: Into>, F2: Into>, F3: Into>, F4: Into>> { - PredictionTrainingExample { - features: features.into(), - features_for_pairwise_learning: features_for_pairwise_learning.into(), - compact_features: compact_features.into(), - compressed_data_record: compressed_data_record.into(), - } - } -} - -impl TSerializable for PredictionTrainingExample { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = None; - let mut f_2: Option = None; - let mut f_3: Option = None; - let mut f_4: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = data::DataRecord::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - 2 => { - let val = DataRecordPair::read_from_in_protocol(i_prot)?; - f_2 = Some(val); - }, - 3 => { - let val = data::CompactDataRecord::read_from_in_protocol(i_prot)?; - f_3 = Some(val); - }, - 4 => { - let val = i_prot.read_bytes()?; - f_4 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = PredictionTrainingExample { - features: f_1, - features_for_pairwise_learning: f_2, - compact_features: f_3, - compressed_data_record: f_4, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("PredictionTrainingExample"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.features { - o_prot.write_field_begin(&TFieldIdentifier::new("features", TType::Struct, 1))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.features_for_pairwise_learning { - o_prot.write_field_begin(&TFieldIdentifier::new("featuresForPairwiseLearning", TType::Struct, 2))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.compact_features { - o_prot.write_field_begin(&TFieldIdentifier::new("compactFeatures", TType::Struct, 3))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.compressed_data_record { - o_prot.write_field_begin(&TFieldIdentifier::new("compressedDataRecord", TType::String, 4))?; - o_prot.write_bytes(fld_var)?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -impl Default for PredictionTrainingExample { - fn default() -> Self { - PredictionTrainingExample{ - features: None, - features_for_pairwise_learning: None, - compact_features: None, - compressed_data_record: Some(Vec::new()), - } - } -} - -// -// PredictionService service client -// - -pub trait TPredictionServiceSyncClient { - fn get_prediction(&mut self, request: PredictionRequest) -> thrift::Result; - fn get_batch_prediction(&mut self, batch_request: BatchPredictionRequest) -> thrift::Result; -} - -pub trait TPredictionServiceSyncClientMarker {} - -pub struct PredictionServiceSyncClient where IP: TInputProtocol, OP: TOutputProtocol { - _i_prot: IP, - _o_prot: OP, - _sequence_number: i32, -} - -impl PredictionServiceSyncClient where IP: TInputProtocol, OP: TOutputProtocol { - pub fn new(input_protocol: IP, output_protocol: OP) -> PredictionServiceSyncClient { - PredictionServiceSyncClient { _i_prot: input_protocol, _o_prot: output_protocol, _sequence_number: 0 } - } -} - -impl TThriftClient for PredictionServiceSyncClient where IP: TInputProtocol, OP: TOutputProtocol { - fn i_prot_mut(&mut self) -> &mut dyn TInputProtocol { &mut self._i_prot } - fn o_prot_mut(&mut self) -> &mut dyn TOutputProtocol { &mut self._o_prot } - fn sequence_number(&self) -> i32 { self._sequence_number } - fn increment_sequence_number(&mut self) -> i32 { self._sequence_number += 1; self._sequence_number } -} - -impl TPredictionServiceSyncClientMarker for PredictionServiceSyncClient where IP: TInputProtocol, OP: TOutputProtocol {} - -impl TPredictionServiceSyncClient for C { - fn get_prediction(&mut self, request: PredictionRequest) -> thrift::Result { - ( - { - self.increment_sequence_number(); - let message_ident = TMessageIdentifier::new("getPrediction", TMessageType::Call, self.sequence_number()); - let call_args = PredictionServiceGetPredictionArgs { request }; - self.o_prot_mut().write_message_begin(&message_ident)?; - call_args.write_to_out_protocol(self.o_prot_mut())?; - self.o_prot_mut().write_message_end()?; - self.o_prot_mut().flush() - } - )?; - { - let message_ident = self.i_prot_mut().read_message_begin()?; - verify_expected_sequence_number(self.sequence_number(), message_ident.sequence_number)?; - verify_expected_service_call("getPrediction", &message_ident.name)?; - if message_ident.message_type == TMessageType::Exception { - let remote_error = thrift::Error::read_application_error_from_in_protocol(self.i_prot_mut())?; - self.i_prot_mut().read_message_end()?; - return Err(thrift::Error::Application(remote_error)) - } - verify_expected_message_type(TMessageType::Reply, message_ident.message_type)?; - let result = PredictionServiceGetPredictionResult::read_from_in_protocol(self.i_prot_mut())?; - self.i_prot_mut().read_message_end()?; - result.ok_or() - } - } - fn get_batch_prediction(&mut self, batch_request: BatchPredictionRequest) -> thrift::Result { - ( - { - self.increment_sequence_number(); - let message_ident = TMessageIdentifier::new("getBatchPrediction", TMessageType::Call, self.sequence_number()); - let call_args = PredictionServiceGetBatchPredictionArgs { batch_request }; - self.o_prot_mut().write_message_begin(&message_ident)?; - call_args.write_to_out_protocol(self.o_prot_mut())?; - self.o_prot_mut().write_message_end()?; - self.o_prot_mut().flush() - } - )?; - { - let message_ident = self.i_prot_mut().read_message_begin()?; - verify_expected_sequence_number(self.sequence_number(), message_ident.sequence_number)?; - verify_expected_service_call("getBatchPrediction", &message_ident.name)?; - if message_ident.message_type == TMessageType::Exception { - let remote_error = thrift::Error::read_application_error_from_in_protocol(self.i_prot_mut())?; - self.i_prot_mut().read_message_end()?; - return Err(thrift::Error::Application(remote_error)) - } - verify_expected_message_type(TMessageType::Reply, message_ident.message_type)?; - let result = PredictionServiceGetBatchPredictionResult::read_from_in_protocol(self.i_prot_mut())?; - self.i_prot_mut().read_message_end()?; - result.ok_or() - } - } -} - -// -// PredictionService service processor -// - -pub trait PredictionServiceSyncHandler { - fn handle_get_prediction(&self, request: PredictionRequest) -> thrift::Result; - fn handle_get_batch_prediction(&self, batch_request: BatchPredictionRequest) -> thrift::Result; -} - -pub struct PredictionServiceSyncProcessor { - handler: H, -} - -impl PredictionServiceSyncProcessor { - pub fn new(handler: H) -> PredictionServiceSyncProcessor { - PredictionServiceSyncProcessor { - handler, - } - } - fn process_get_prediction(&self, incoming_sequence_number: i32, i_prot: &mut dyn TInputProtocol, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - TPredictionServiceProcessFunctions::process_get_prediction(&self.handler, incoming_sequence_number, i_prot, o_prot) - } - fn process_get_batch_prediction(&self, incoming_sequence_number: i32, i_prot: &mut dyn TInputProtocol, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - TPredictionServiceProcessFunctions::process_get_batch_prediction(&self.handler, incoming_sequence_number, i_prot, o_prot) - } -} - -pub struct TPredictionServiceProcessFunctions; - -impl TPredictionServiceProcessFunctions { - pub fn process_get_prediction(handler: &H, incoming_sequence_number: i32, i_prot: &mut dyn TInputProtocol, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let args = PredictionServiceGetPredictionArgs::read_from_in_protocol(i_prot)?; - match handler.handle_get_prediction(args.request) { - Ok(handler_return) => { - let message_ident = TMessageIdentifier::new("getPrediction", TMessageType::Reply, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - let ret = PredictionServiceGetPredictionResult { result_value: Some(handler_return), prediction_service_exception: None }; - ret.write_to_out_protocol(o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - }, - Err(e) => { - match e { - thrift::Error::User(usr_err) => { - if usr_err.downcast_ref::().is_some() { - let err = usr_err.downcast::().expect("downcast already checked"); - let ret_err = PredictionServiceGetPredictionResult{ result_value: None, prediction_service_exception: Some(*err) }; - let message_ident = TMessageIdentifier::new("getPrediction", TMessageType::Reply, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - ret_err.write_to_out_protocol(o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - } else { - let ret_err = { - ApplicationError::new( - ApplicationErrorKind::Unknown, - usr_err.to_string() - ) - }; - let message_ident = TMessageIdentifier::new("getPrediction", TMessageType::Exception, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - thrift::Error::write_application_error_to_out_protocol(&ret_err, o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - } - }, - thrift::Error::Application(app_err) => { - let message_ident = TMessageIdentifier::new("getPrediction", TMessageType::Exception, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - thrift::Error::write_application_error_to_out_protocol(&app_err, o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - }, - _ => { - let ret_err = { - ApplicationError::new( - ApplicationErrorKind::Unknown, - e.to_string() - ) - }; - let message_ident = TMessageIdentifier::new("getPrediction", TMessageType::Exception, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - thrift::Error::write_application_error_to_out_protocol(&ret_err, o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - }, - } - }, - } - } - pub fn process_get_batch_prediction(handler: &H, incoming_sequence_number: i32, i_prot: &mut dyn TInputProtocol, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let args = PredictionServiceGetBatchPredictionArgs::read_from_in_protocol(i_prot)?; - match handler.handle_get_batch_prediction(args.batch_request) { - Ok(handler_return) => { - let message_ident = TMessageIdentifier::new("getBatchPrediction", TMessageType::Reply, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - let ret = PredictionServiceGetBatchPredictionResult { result_value: Some(handler_return), prediction_service_exception: None }; - ret.write_to_out_protocol(o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - }, - Err(e) => { - match e { - thrift::Error::User(usr_err) => { - if usr_err.downcast_ref::().is_some() { - let err = usr_err.downcast::().expect("downcast already checked"); - let ret_err = PredictionServiceGetBatchPredictionResult{ result_value: None, prediction_service_exception: Some(*err) }; - let message_ident = TMessageIdentifier::new("getBatchPrediction", TMessageType::Reply, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - ret_err.write_to_out_protocol(o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - } else { - let ret_err = { - ApplicationError::new( - ApplicationErrorKind::Unknown, - usr_err.to_string() - ) - }; - let message_ident = TMessageIdentifier::new("getBatchPrediction", TMessageType::Exception, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - thrift::Error::write_application_error_to_out_protocol(&ret_err, o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - } - }, - thrift::Error::Application(app_err) => { - let message_ident = TMessageIdentifier::new("getBatchPrediction", TMessageType::Exception, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - thrift::Error::write_application_error_to_out_protocol(&app_err, o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - }, - _ => { - let ret_err = { - ApplicationError::new( - ApplicationErrorKind::Unknown, - e.to_string() - ) - }; - let message_ident = TMessageIdentifier::new("getBatchPrediction", TMessageType::Exception, incoming_sequence_number); - o_prot.write_message_begin(&message_ident)?; - thrift::Error::write_application_error_to_out_protocol(&ret_err, o_prot)?; - o_prot.write_message_end()?; - o_prot.flush() - }, - } - }, - } - } -} - -impl TProcessor for PredictionServiceSyncProcessor { - fn process(&self, i_prot: &mut dyn TInputProtocol, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let message_ident = i_prot.read_message_begin()?; - let res = match &*message_ident.name { - "getPrediction" => { - self.process_get_prediction(message_ident.sequence_number, i_prot, o_prot) - }, - "getBatchPrediction" => { - self.process_get_batch_prediction(message_ident.sequence_number, i_prot, o_prot) - }, - method => { - Err( - thrift::Error::Application( - ApplicationError::new( - ApplicationErrorKind::UnknownMethod, - format!("unknown method {}", method) - ) - ) - ) - }, - }; - thrift::server::handle_process_result(&message_ident, res, o_prot) - } -} - -// -// PredictionServiceGetPredictionArgs -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -struct PredictionServiceGetPredictionArgs { - request: PredictionRequest, -} - -impl PredictionServiceGetPredictionArgs { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = PredictionRequest::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("PredictionServiceGetPredictionArgs.request", &f_1)?; - let ret = PredictionServiceGetPredictionArgs { - request: f_1.expect("auto-generated code should have checked for presence of required fields"), - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("getPrediction_args"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("request", TType::Struct, 1))?; - self.request.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// PredictionServiceGetPredictionResult -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -struct PredictionServiceGetPredictionResult { - result_value: Option, - prediction_service_exception: Option, -} - -impl PredictionServiceGetPredictionResult { - fn ok_or(self) -> thrift::Result { - if self.prediction_service_exception.is_some() { - Err(thrift::Error::User(Box::new(self.prediction_service_exception.unwrap()))) - } else if self.result_value.is_some() { - Ok(self.result_value.unwrap()) - } else { - Err( - thrift::Error::Application( - ApplicationError::new( - ApplicationErrorKind::MissingResult, - "no result received for PredictionServiceGetPrediction" - ) - ) - ) - } - } - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_0: Option = None; - let mut f_1: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 0 => { - let val = PredictionResponse::read_from_in_protocol(i_prot)?; - f_0 = Some(val); - }, - 1 => { - let val = PredictionServiceException::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = PredictionServiceGetPredictionResult { - result_value: f_0, - prediction_service_exception: f_1, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("PredictionServiceGetPredictionResult"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.result_value { - o_prot.write_field_begin(&TFieldIdentifier::new("result_value", TType::Struct, 0))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.prediction_service_exception { - o_prot.write_field_begin(&TFieldIdentifier::new("predictionServiceException", TType::Struct, 1))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// PredictionServiceGetBatchPredictionArgs -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -struct PredictionServiceGetBatchPredictionArgs { - batch_request: BatchPredictionRequest, -} - -impl PredictionServiceGetBatchPredictionArgs { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = BatchPredictionRequest::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("PredictionServiceGetBatchPredictionArgs.batch_request", &f_1)?; - let ret = PredictionServiceGetBatchPredictionArgs { - batch_request: f_1.expect("auto-generated code should have checked for presence of required fields"), - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("getBatchPrediction_args"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("batchRequest", TType::Struct, 1))?; - self.batch_request.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// PredictionServiceGetBatchPredictionResult -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -struct PredictionServiceGetBatchPredictionResult { - result_value: Option, - prediction_service_exception: Option, -} - -impl PredictionServiceGetBatchPredictionResult { - fn ok_or(self) -> thrift::Result { - if self.prediction_service_exception.is_some() { - Err(thrift::Error::User(Box::new(self.prediction_service_exception.unwrap()))) - } else if self.result_value.is_some() { - Ok(self.result_value.unwrap()) - } else { - Err( - thrift::Error::Application( - ApplicationError::new( - ApplicationErrorKind::MissingResult, - "no result received for PredictionServiceGetBatchPrediction" - ) - ) - ) - } - } - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_0: Option = None; - let mut f_1: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 0 => { - let val = BatchPredictionResponse::read_from_in_protocol(i_prot)?; - f_0 = Some(val); - }, - 1 => { - let val = PredictionServiceException::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - let ret = PredictionServiceGetBatchPredictionResult { - result_value: f_0, - prediction_service_exception: f_1, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("PredictionServiceGetBatchPredictionResult"); - o_prot.write_struct_begin(&struct_ident)?; - if let Some(ref fld_var) = self.result_value { - o_prot.write_field_begin(&TFieldIdentifier::new("result_value", TType::Struct, 0))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - if let Some(ref fld_var) = self.prediction_service_exception { - o_prot.write_field_begin(&TFieldIdentifier::new("predictionServiceException", TType::Struct, 1))?; - fld_var.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - diff --git a/navi/thrift_bpr_adapter/thrift/src/tensor.docx b/navi/thrift_bpr_adapter/thrift/src/tensor.docx new file mode 100644 index 0000000000000000000000000000000000000000..25b4197328252eec8515c1f1152089252ef55aad GIT binary patch literal 41654 zcmafZV_>Drwry5d(R9ZejTa8=qphsHAfxirx8<2YBC%8Yyn7+qX? z%A+^lS}kvhJJz^NP}ez_s@T`A^%TIl4MN)@ z%K4{1n-^OS_Y9-&m940s(spUXP>UAQk%7FYD6o0o1X-V zV|hFZ!KI&e2T+pN5$gN|OJ!=0sqhMV?0bBqEQlfDdtMIJeVm_@u^w0P8;1YEs={BR z*d`d0G{Vfu{%LQUdMysmH4TZc%3Z1*R0Q{D;E 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DataType::INT64, - 4 => DataType::UINT8, - 5 => DataType::STRING, - 6 => DataType::BYTE, - 7 => DataType::BOOL, - 8 => DataType::RESERVED_1, - 9 => DataType::RESERVED_2, - 10 => DataType::RESERVED_3, - _ => DataType(i) - } - } -} - -impl From<&i32> for DataType { - fn from(i: &i32) -> Self { - DataType::from(*i) - } -} - -impl From for i32 { - fn from(e: DataType) -> i32 { - e.0 - } -} - -impl From<&DataType> for i32 { - fn from(e: &DataType) -> i32 { - e.0 - } -} - -// -// StringTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct StringTensor { - pub strings: Vec, - pub shape: Option>, -} - -impl StringTensor { - pub fn new(strings: Vec, shape: F2) -> StringTensor where F2: Into>> { - StringTensor { - strings, - shape: shape.into(), - } - } -} - -impl TSerializable for StringTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_0 = i_prot.read_string()?; - val.push(list_elem_0); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_1 = i_prot.read_i64()?; - val.push(list_elem_1); - } - i_prot.read_list_end()?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("StringTensor.strings", &f_1)?; - let ret = StringTensor { - strings: f_1.expect("auto-generated code should have checked for presence of required fields"), - shape: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("StringTensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("strings", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::String, self.strings.len() as i32))?; - for e in &self.strings { - o_prot.write_string(e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.shape { - o_prot.write_field_begin(&TFieldIdentifier::new("shape", TType::List, 2))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// Int32Tensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct Int32Tensor { - pub ints: Vec, - pub shape: Option>, -} - -impl Int32Tensor { - pub fn new(ints: Vec, shape: F2) -> Int32Tensor where F2: Into>> { - Int32Tensor { - ints, - shape: shape.into(), - } - } -} - -impl TSerializable for Int32Tensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_2 = i_prot.read_i32()?; - val.push(list_elem_2); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_3 = i_prot.read_i64()?; - val.push(list_elem_3); - } - i_prot.read_list_end()?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("Int32Tensor.ints", &f_1)?; - let ret = Int32Tensor { - ints: f_1.expect("auto-generated code should have checked for presence of required fields"), - shape: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("Int32Tensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("ints", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I32, self.ints.len() as i32))?; - for e in &self.ints { - o_prot.write_i32(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.shape { - o_prot.write_field_begin(&TFieldIdentifier::new("shape", TType::List, 2))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// Int64Tensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct Int64Tensor { - pub longs: Vec, - pub shape: Option>, -} - -impl Int64Tensor { - pub fn new(longs: Vec, shape: F2) -> Int64Tensor where F2: Into>> { - Int64Tensor { - longs, - shape: shape.into(), - } - } -} - -impl TSerializable for Int64Tensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_4 = i_prot.read_i64()?; - val.push(list_elem_4); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_5 = i_prot.read_i64()?; - val.push(list_elem_5); - } - i_prot.read_list_end()?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("Int64Tensor.longs", &f_1)?; - let ret = Int64Tensor { - longs: f_1.expect("auto-generated code should have checked for presence of required fields"), - shape: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("Int64Tensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("longs", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, self.longs.len() as i32))?; - for e in &self.longs { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.shape { - o_prot.write_field_begin(&TFieldIdentifier::new("shape", TType::List, 2))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// FloatTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct FloatTensor { - pub floats: Vec>, - pub shape: Option>, -} - -impl FloatTensor { - pub fn new(floats: Vec>, shape: F2) -> FloatTensor where F2: Into>> { - FloatTensor { - floats, - shape: shape.into(), - } - } -} - -impl TSerializable for FloatTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option>> = None; - let mut f_2: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec> = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_6 = OrderedFloat::from(i_prot.read_double()?); - val.push(list_elem_6); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_7 = i_prot.read_i64()?; - val.push(list_elem_7); - } - i_prot.read_list_end()?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("FloatTensor.floats", &f_1)?; - let ret = FloatTensor { - floats: f_1.expect("auto-generated code should have checked for presence of required fields"), - shape: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("FloatTensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("floats", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::Double, self.floats.len() as i32))?; - for e in &self.floats { - o_prot.write_double((*e).into())?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.shape { - o_prot.write_field_begin(&TFieldIdentifier::new("shape", TType::List, 2))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// DoubleTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct DoubleTensor { - pub doubles: Vec>, - pub shape: Option>, -} - -impl DoubleTensor { - pub fn new(doubles: Vec>, shape: F2) -> DoubleTensor where F2: Into>> { - DoubleTensor { - doubles, - shape: shape.into(), - } - } -} - -impl TSerializable for DoubleTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option>> = None; - let mut f_2: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec> = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_8 = OrderedFloat::from(i_prot.read_double()?); - val.push(list_elem_8); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_9 = i_prot.read_i64()?; - val.push(list_elem_9); - } - i_prot.read_list_end()?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("DoubleTensor.doubles", &f_1)?; - let ret = DoubleTensor { - doubles: f_1.expect("auto-generated code should have checked for presence of required fields"), - shape: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("DoubleTensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("doubles", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::Double, self.doubles.len() as i32))?; - for e in &self.doubles { - o_prot.write_double((*e).into())?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.shape { - o_prot.write_field_begin(&TFieldIdentifier::new("shape", TType::List, 2))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// BoolTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct BoolTensor { - pub booleans: Vec, - pub shape: Option>, -} - -impl BoolTensor { - pub fn new(booleans: Vec, shape: F2) -> BoolTensor where F2: Into>> { - BoolTensor { - booleans, - shape: shape.into(), - } - } -} - -impl TSerializable for BoolTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_10 = i_prot.read_bool()?; - val.push(list_elem_10); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_11 = i_prot.read_i64()?; - val.push(list_elem_11); - } - i_prot.read_list_end()?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("BoolTensor.booleans", &f_1)?; - let ret = BoolTensor { - booleans: f_1.expect("auto-generated code should have checked for presence of required fields"), - shape: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("BoolTensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("booleans", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::Bool, self.booleans.len() as i32))?; - for e in &self.booleans { - o_prot.write_bool(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.shape { - o_prot.write_field_begin(&TFieldIdentifier::new("shape", TType::List, 2))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// RawTypedTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct RawTypedTensor { - pub data_type: DataType, - pub content: Vec, - pub shape: Option>, -} - -impl RawTypedTensor { - pub fn new(data_type: DataType, content: Vec, shape: F3) -> RawTypedTensor where F3: Into>> { - RawTypedTensor { - data_type, - content, - shape: shape.into(), - } - } -} - -impl TSerializable for RawTypedTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option = None; - let mut f_2: Option> = None; - let mut f_3: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = DataType::read_from_in_protocol(i_prot)?; - f_1 = Some(val); - }, - 2 => { - let val = i_prot.read_bytes()?; - f_2 = Some(val); - }, - 3 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_12 = i_prot.read_i64()?; - val.push(list_elem_12); - } - i_prot.read_list_end()?; - f_3 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("RawTypedTensor.data_type", &f_1)?; - verify_required_field_exists("RawTypedTensor.content", &f_2)?; - let ret = RawTypedTensor { - data_type: f_1.expect("auto-generated code should have checked for presence of required fields"), - content: f_2.expect("auto-generated code should have checked for presence of required fields"), - shape: f_3, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("RawTypedTensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("dataType", TType::I32, 1))?; - self.data_type.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - o_prot.write_field_begin(&TFieldIdentifier::new("content", TType::String, 2))?; - o_prot.write_bytes(&self.content)?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.shape { - o_prot.write_field_begin(&TFieldIdentifier::new("shape", TType::List, 3))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// BinaryTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct BinaryTensor { - pub binaries: Vec>, - pub shape: Option>, -} - -impl BinaryTensor { - pub fn new(binaries: Vec>, shape: F2) -> BinaryTensor where F2: Into>> { - BinaryTensor { - binaries, - shape: shape.into(), - } - } -} - -impl TSerializable for BinaryTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option>> = None; - let mut f_2: Option> = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec> = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_13 = i_prot.read_bytes()?; - val.push(list_elem_13); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_14 = i_prot.read_i64()?; - val.push(list_elem_14); - } - i_prot.read_list_end()?; - f_2 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("BinaryTensor.binaries", &f_1)?; - let ret = BinaryTensor { - binaries: f_1.expect("auto-generated code should have checked for presence of required fields"), - shape: f_2, - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("BinaryTensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("binaries", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::String, self.binaries.len() as i32))?; - for e in &self.binaries { - o_prot.write_bytes(e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - if let Some(ref fld_var) = self.shape { - o_prot.write_field_begin(&TFieldIdentifier::new("shape", TType::List, 2))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, fld_var.len() as i32))?; - for e in fld_var { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()? - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// GeneralTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub enum GeneralTensor { - RawTypedTensor(RawTypedTensor), - StringTensor(StringTensor), - Int32Tensor(Int32Tensor), - Int64Tensor(Int64Tensor), - FloatTensor(FloatTensor), - DoubleTensor(DoubleTensor), - BoolTensor(BoolTensor), - BinaryTensor(BinaryTensor), -} - -impl TSerializable for GeneralTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - let mut ret: Option = None; - let mut received_field_count = 0; - i_prot.read_struct_begin()?; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = RawTypedTensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(GeneralTensor::RawTypedTensor(val)); - } - received_field_count += 1; - }, - 2 => { - let val = StringTensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(GeneralTensor::StringTensor(val)); - } - received_field_count += 1; - }, - 3 => { - let val = Int32Tensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(GeneralTensor::Int32Tensor(val)); - } - received_field_count += 1; - }, - 4 => { - let val = Int64Tensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(GeneralTensor::Int64Tensor(val)); - } - received_field_count += 1; - }, - 5 => { - let val = FloatTensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(GeneralTensor::FloatTensor(val)); - } - received_field_count += 1; - }, - 6 => { - let val = DoubleTensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(GeneralTensor::DoubleTensor(val)); - } - received_field_count += 1; - }, - 7 => { - let val = BoolTensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(GeneralTensor::BoolTensor(val)); - } - received_field_count += 1; - }, - 8 => { - let val = BinaryTensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(GeneralTensor::BinaryTensor(val)); - } - received_field_count += 1; - }, - _ => { - i_prot.skip(field_ident.field_type)?; - received_field_count += 1; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - if received_field_count == 0 { - Err( - thrift::Error::Protocol( - ProtocolError::new( - ProtocolErrorKind::InvalidData, - "received empty union from remote GeneralTensor" - ) - ) - ) - } else if received_field_count > 1 { - Err( - thrift::Error::Protocol( - ProtocolError::new( - ProtocolErrorKind::InvalidData, - "received multiple fields for union from remote GeneralTensor" - ) - ) - ) - } else { - Ok(ret.expect("return value should have been constructed")) - } - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("GeneralTensor"); - o_prot.write_struct_begin(&struct_ident)?; - match *self { - GeneralTensor::RawTypedTensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("rawTypedTensor", TType::Struct, 1))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - GeneralTensor::StringTensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("stringTensor", TType::Struct, 2))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - GeneralTensor::Int32Tensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("int32Tensor", TType::Struct, 3))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - GeneralTensor::Int64Tensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("int64Tensor", TType::Struct, 4))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - GeneralTensor::FloatTensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("floatTensor", TType::Struct, 5))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - GeneralTensor::DoubleTensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("doubleTensor", TType::Struct, 6))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - GeneralTensor::BoolTensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("boolTensor", TType::Struct, 7))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - GeneralTensor::BinaryTensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("binaryTensor", TType::Struct, 8))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// COOSparseTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub struct COOSparseTensor { - pub dense_shape: Vec, - pub indices: Int64Tensor, - pub values: GeneralTensor, -} - -impl COOSparseTensor { - pub fn new(dense_shape: Vec, indices: Int64Tensor, values: GeneralTensor) -> COOSparseTensor { - COOSparseTensor { - dense_shape, - indices, - values, - } - } -} - -impl TSerializable for COOSparseTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - i_prot.read_struct_begin()?; - let mut f_1: Option> = None; - let mut f_2: Option = None; - let mut f_3: Option = None; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let list_ident = i_prot.read_list_begin()?; - let mut val: Vec = Vec::with_capacity(list_ident.size as usize); - for _ in 0..list_ident.size { - let list_elem_15 = i_prot.read_i64()?; - val.push(list_elem_15); - } - i_prot.read_list_end()?; - f_1 = Some(val); - }, - 2 => { - let val = Int64Tensor::read_from_in_protocol(i_prot)?; - f_2 = Some(val); - }, - 3 => { - let val = GeneralTensor::read_from_in_protocol(i_prot)?; - f_3 = Some(val); - }, - _ => { - i_prot.skip(field_ident.field_type)?; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - verify_required_field_exists("COOSparseTensor.dense_shape", &f_1)?; - verify_required_field_exists("COOSparseTensor.indices", &f_2)?; - verify_required_field_exists("COOSparseTensor.values", &f_3)?; - let ret = COOSparseTensor { - dense_shape: f_1.expect("auto-generated code should have checked for presence of required fields"), - indices: f_2.expect("auto-generated code should have checked for presence of required fields"), - values: f_3.expect("auto-generated code should have checked for presence of required fields"), - }; - Ok(ret) - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("COOSparseTensor"); - o_prot.write_struct_begin(&struct_ident)?; - o_prot.write_field_begin(&TFieldIdentifier::new("denseShape", TType::List, 1))?; - o_prot.write_list_begin(&TListIdentifier::new(TType::I64, self.dense_shape.len() as i32))?; - for e in &self.dense_shape { - o_prot.write_i64(*e)?; - } - o_prot.write_list_end()?; - o_prot.write_field_end()?; - o_prot.write_field_begin(&TFieldIdentifier::new("indices", TType::Struct, 2))?; - self.indices.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - o_prot.write_field_begin(&TFieldIdentifier::new("values", TType::Struct, 3))?; - self.values.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - -// -// SparseTensor -// - -#[derive(Clone, Debug, Eq, Hash, Ord, PartialEq, PartialOrd)] -pub enum SparseTensor { - CooSparseTensor(COOSparseTensor), -} - -impl TSerializable for SparseTensor { - fn read_from_in_protocol(i_prot: &mut dyn TInputProtocol) -> thrift::Result { - let mut ret: Option = None; - let mut received_field_count = 0; - i_prot.read_struct_begin()?; - loop { - let field_ident = i_prot.read_field_begin()?; - if field_ident.field_type == TType::Stop { - break; - } - let field_id = field_id(&field_ident)?; - match field_id { - 1 => { - let val = COOSparseTensor::read_from_in_protocol(i_prot)?; - if ret.is_none() { - ret = Some(SparseTensor::CooSparseTensor(val)); - } - received_field_count += 1; - }, - _ => { - i_prot.skip(field_ident.field_type)?; - received_field_count += 1; - }, - }; - i_prot.read_field_end()?; - } - i_prot.read_struct_end()?; - if received_field_count == 0 { - Err( - thrift::Error::Protocol( - ProtocolError::new( - ProtocolErrorKind::InvalidData, - "received empty union from remote SparseTensor" - ) - ) - ) - } else if received_field_count > 1 { - Err( - thrift::Error::Protocol( - ProtocolError::new( - ProtocolErrorKind::InvalidData, - "received multiple fields for union from remote SparseTensor" - ) - ) - ) - } else { - Ok(ret.expect("return value should have been constructed")) - } - } - fn write_to_out_protocol(&self, o_prot: &mut dyn TOutputProtocol) -> thrift::Result<()> { - let struct_ident = TStructIdentifier::new("SparseTensor"); - o_prot.write_struct_begin(&struct_ident)?; - match *self { - SparseTensor::CooSparseTensor(ref f) => { - o_prot.write_field_begin(&TFieldIdentifier::new("cooSparseTensor", TType::Struct, 1))?; - f.write_to_out_protocol(o_prot)?; - o_prot.write_field_end()?; - }, - } - o_prot.write_field_stop()?; - o_prot.write_struct_end() - } -} - diff --git a/product-mixer/README.docx b/product-mixer/README.docx new file mode 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer/AccountRecommendationsMixerCandidateSource.scala deleted file mode 100644 index 72698e1c7..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer/AccountRecommendationsMixerCandidateSource.scala +++ /dev/null @@ -1,57 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.account_recommendations_mixer - -import com.twitter.account_recommendations_mixer.{thriftscala => t} -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.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.stitch.Stitch -import javax.inject.Inject -import javax.inject.Singleton - -object WhoToFollowModuleHeaderFeature extends Feature[UserCandidate, t.Header] -object WhoToFollowModuleFooterFeature extends Feature[UserCandidate, Option[t.Footer]] -object WhoToFollowModuleDisplayOptionsFeature - extends Feature[UserCandidate, Option[t.DisplayOptions]] - -@Singleton -class AccountRecommendationsMixerCandidateSource @Inject() ( - accountRecommendationsMixer: t.AccountRecommendationsMixer.MethodPerEndpoint) - extends CandidateSourceWithExtractedFeatures[ - t.AccountRecommendationsMixerRequest, - t.RecommendedUser - ] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier(name = "AccountRecommendationsMixer") - - override def apply( - request: t.AccountRecommendationsMixerRequest - ): Stitch[CandidatesWithSourceFeatures[t.RecommendedUser]] = { - Stitch - .callFuture(accountRecommendationsMixer.getWtfRecommendations(request)) - .map { response: t.WhoToFollowResponse => - responseToCandidatesWithSourceFeatures( - response.userRecommendations, - response.header, - response.footer, - response.displayOptions) - } - } - - private def responseToCandidatesWithSourceFeatures( - userRecommendations: Seq[t.RecommendedUser], - header: t.Header, - footer: Option[t.Footer], - displayOptions: Option[t.DisplayOptions], - ): CandidatesWithSourceFeatures[t.RecommendedUser] = { - val features = FeatureMapBuilder() - .add(WhoToFollowModuleHeaderFeature, header) - .add(WhoToFollowModuleFooterFeature, footer) - .add(WhoToFollowModuleDisplayOptionsFeature, displayOptions) - .build() - CandidatesWithSourceFeatures(userRecommendations, features) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer/BUILD deleted file mode 100644 index d5eaef320..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer/BUILD +++ /dev/null @@ -1,22 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - platform = "java8", - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "account-recommendations-mixer/thrift/src/main/thrift:thrift-scala", - "finatra/inject/inject-core/src/main/scala/com/twitter/inject", - "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/candidate_source", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/pipeline_failure", - "src/thrift/com/twitter/ads/adserver:adserver_common-scala", - "stitch/stitch-core", - ], - exports = [ - "account-recommendations-mixer/thrift/src/main/thrift:thrift-scala", - "finatra/inject/inject-core/src/main/scala/com/twitter/inject", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - "stitch/stitch-core", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/account_recommendations_mixer/BUILD.docx new file mode 100644 index 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-import com.twitter.adserver.thriftscala.AdRequestParams -import com.twitter.adserver.thriftscala.NewAdServer -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 AdsProdThriftCandidateSource @Inject() ( - adServerClient: NewAdServer.MethodPerEndpoint) - extends CandidateSource[AdRequestParams, AdImpression] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("AdsProdThrift") - - override def apply(request: AdRequestParams): Stitch[Seq[AdImpression]] = - Stitch.callFuture(adServerClient.makeAdRequest(request)).map(_.impressions) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/AdsStagingCandidateSource.docx 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/AdsStagingCandidateSource.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/AdsStagingCandidateSource.scala deleted file mode 100644 index d719f7608..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/AdsStagingCandidateSource.scala +++ /dev/null @@ -1,28 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.ads - -import com.twitter.adserver.thriftscala.AdImpression -import com.twitter.adserver.thriftscala.AdRequestParams -import com.twitter.adserver.thriftscala.AdRequestResponse -import com.twitter.product_mixer.core.functional_component.candidate_source.strato.StratoKeyFetcherSource -import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier -import com.twitter.strato.client.Fetcher -import com.twitter.strato.generated.client.ads.admixer.MakeAdRequestStagingClientColumn -import javax.inject.Inject -import javax.inject.Singleton - -@Singleton -class AdsStagingCandidateSource @Inject() (adsClient: MakeAdRequestStagingClientColumn) - extends StratoKeyFetcherSource[ - AdRequestParams, - AdRequestResponse, - AdImpression - ] { - override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier("AdsStaging") - - override val fetcher: Fetcher[AdRequestParams, Unit, AdRequestResponse] = adsClient.fetcher - - override protected def stratoResultTransformer( - stratoResult: AdRequestResponse - ): Seq[AdImpression] = - stratoResult.impressions -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/BUILD deleted file mode 100644 index f3b49ec31..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ads/BUILD +++ /dev/null @@ -1,18 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "3rdparty/jvm/javax/inject:javax.inject", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - "src/thrift/com/twitter/ads/adserver:adserver_common-scala", - "src/thrift/com/twitter/ads/adserver:adserver_rpc-scala", - "strato/config/columns/ads/admixer:admixer-strato-client", - ], - exports = [ - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - "src/thrift/com/twitter/ads/adserver:adserver_common-scala", - "src/thrift/com/twitter/ads/adserver:adserver_rpc-scala", - ], -) diff --git 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zCD8Swj~XNNn^ZydqmLn@8-d>cMi`;nh_yG4ZUA~m7hwQv6S4u=y1nRTq4ymTX8l7k z3$-VSZVGx=3t@_A3p7+vI$r4d(c6Ov{TtemvKVUXFu _, _} -import com.twitter.finagle.util.DefaultTimer - -/** - * @param annQueryableById Ann Queryable by Id client that returns nearest neighbors for a sequence of queries - * @param identifier Candidate Source Identifier - * @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 AnnCandidateSource[T1, T2, P <: RuntimeParams, D <: Distance[D]]( - val annQueryableById: QueryableById[T1, T2, P, D], - val batchSize: Int, - val timeoutPerRequest: Duration, - override val identifier: CandidateSourceIdentifier) - extends CandidateSource[AnnIdQuery[T1, P], NeighborWithDistanceWithSeed[T1, T2, D]] { - - implicit val timer = DefaultTimer - - override def apply( - request: AnnIdQuery[T1, P] - ): Stitch[Seq[NeighborWithDistanceWithSeed[T1, T2, D]]] = { - val ids = request.ids - val numOfNeighbors = request.numOfNeighbors - val runtimeParams = request.runtimeParams - Stitch - .collect( - ids - .grouped(batchSize).map { batchedIds => - annQueryableById - .batchQueryWithDistanceById(batchedIds, numOfNeighbors, runtimeParams).map { - annResult => annResult.toSeq - }.within(timeoutPerRequest).handle { case _ => Seq.empty } - }.toSeq).map(_.flatten) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/AnnIdQuery.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/AnnIdQuery.docx new file mode 100644 index 0000000000000000000000000000000000000000..71aa2f739afc69ff1cc72b088e23eea86d49c4de GIT binary patch literal 36990 zcmagFWmp{9wm*!!dvFQv?k)j>ySoH!+-W?x2MF%&?(QCfyF&uO-T$4LIp@rrd++;x zDIWG->nCef?b=;kt@IHR3JVMj3=Rx8m0PP)r7%7T91Ls>1`G@nG^#5Ouy--HcQI7+ 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com.twitter.ann.common._ - -/** - * A [[AnnIdQuery]] is a query class which defines the ann entities with runtime params and number of neighbors requested - * - * @param ids Sequence of queries - * @param numOfNeighbors Number of neighbors requested - * @param runtimeParams ANN Runtime Params - * @param batchSize Batch size to the stitch client - * @tparam T type of query. - * @tparam P runtime parameters supported by the index. - */ -case class AnnIdQuery[T, P <: RuntimeParams]( - ids: Seq[T], - numOfNeighbors: Int, - runtimeParams: P) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/BUILD.bazel deleted file mode 100644 index 46b1efdbb..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/BUILD.bazel +++ /dev/null @@ -1,17 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "ann/src/main/scala/com/twitter/ann/common", - "ann/src/main/scala/com/twitter/ann/hnsw", - "ann/src/main/thrift/com/twitter/ann/common:ann-common-scala", - "product-mixer/component-library/src/main/thrift/com/twitter/product_mixer/component_library:thrift-scala", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - "servo/manhattan/src/main/scala", - "servo/repo/src/main/scala", - "servo/util/src/main/scala", - "stitch/stitch-core", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/ann/BUILD.docx new file mode 100644 index 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com.twitter.periscope.audio_space.thriftscala.SpaceSlice -import com.twitter.product_mixer.component_library.model.cursor.NextCursorFeature -import com.twitter.product_mixer.component_library.model.cursor.PreviousCursorFeature -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.StratoKeyViewFetcherWithSourceFeaturesSource -import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier -import com.twitter.strato.client.Fetcher -import com.twitter.strato.generated.client.periscope.CreatedSpacesSliceOnUserClientColumn -import javax.inject.Inject -import javax.inject.Singleton - -@Singleton -class CreatedSpacesCandidateSource @Inject() ( - column: CreatedSpacesSliceOnUserClientColumn) - extends StratoKeyViewFetcherWithSourceFeaturesSource[ - Long, - CreatedSpacesView, - SpaceSlice, - String - ] { - - override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier("CreatedSpaces") - - override val fetcher: Fetcher[Long, CreatedSpacesView, SpaceSlice] = column.fetcher - - override def stratoResultTransformer( - stratoKey: Long, - stratoResult: SpaceSlice - ): Seq[String] = - stratoResult.items - - override protected def extractFeaturesFromStratoResult( - stratoKey: Long, - stratoResult: SpaceSlice - ): FeatureMap = { - val featureMapBuilder = FeatureMapBuilder() - stratoResult.sliceInfo.previousCursor.foreach { cursor => - featureMapBuilder.add(PreviousCursorFeature, cursor) - } - stratoResult.sliceInfo.nextCursor.foreach { cursor => - featureMapBuilder.add(NextCursorFeature, cursor) - } - featureMapBuilder.build() - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/business_profiles/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/business_profiles/BUILD deleted file mode 100644 index 0f5552bb5..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/business_profiles/BUILD +++ /dev/null @@ -1,13 +0,0 @@ -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/model/cursor", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - "strato/config/columns/consumer-identity/business-profiles:business-profiles-strato-client", - "strato/config/src/thrift/com/twitter/strato/graphql:graphql-scala", - "strato/src/main/scala/com/twitter/strato/client", - ], -) diff --git 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TeamMembersSlice - ): FeatureMap = { - val featureMapBuilder = FeatureMapBuilder() - stratoResult.previousCursor.foreach { cursor => - featureMapBuilder.add(PreviousCursorFeature, cursor.toString) - } - stratoResult.nextCursor.foreach { cursor => - featureMapBuilder.add(NextCursorFeature, cursor.toString) - } - featureMapBuilder.build() - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/BUILD.bazel deleted file mode 100644 index 1eef70e77..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/BUILD.bazel +++ /dev/null @@ -1,12 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/CrMixerFrsBasedTweetRecommendationsCandidateSource.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/CrMixerFrsBasedTweetRecommendationsCandidateSource.scala deleted file mode 100644 index c1e79f238..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/CrMixerFrsBasedTweetRecommendationsCandidateSource.scala +++ /dev/null @@ -1,25 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.cr_mixer - -import com.twitter.cr_mixer.{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 javax.inject.Inject -import javax.inject.Singleton - -/** - * Returns out-of-network Tweet recommendations by using user recommendations - * from FollowRecommendationService as an input seed-set to Earlybird - */ -@Singleton -class CrMixerFrsBasedTweetRecommendationsCandidateSource @Inject() ( - crMixerClient: t.CrMixer.MethodPerEndpoint) - extends CandidateSource[t.FrsTweetRequest, t.FrsTweet] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("CrMixerFrsBasedTweetRecommendations") - - override def apply(request: t.FrsTweetRequest): Stitch[Seq[t.FrsTweet]] = Stitch - .callFuture(crMixerClient.getFrsBasedTweetRecommendations(request)) - .map(_.tweets) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/CrMixerTweetRecommendationsCandidateSource.docx 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com.twitter.interests_discovery.{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 - -/** - * Generate a list of related topics results from IDS getRelatedTopics (thrift) endpoint. - * Returns related topics, given a topic, whereas [[RecommendedTopicsCandidateSource]] returns - * recommended topics, given a user. - */ -@Singleton -class RelatedTopicsCandidateSource @Inject() ( - interestDiscoveryService: t.InterestsDiscoveryService.MethodPerEndpoint) - extends CandidateSource[t.RelatedTopicsRequest, t.RelatedTopic] - with Logging { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier(name = "RelatedTopics") - - override def apply( - request: t.RelatedTopicsRequest - ): Stitch[Seq[t.RelatedTopic]] = { - Stitch - .callFuture(interestDiscoveryService.getRelatedTopics(request)) - .map { response: t.RelatedTopicsResponse => - response.topics - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/lists/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/lists/BUILD.bazel deleted file mode 100644 index c62b67377..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/lists/BUILD.bazel +++ /dev/null @@ -1,14 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "interests_discovery/thrift/src/main/thrift:service-thrift-scala", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/lists/OrganicPopGeoListsCandidateSource.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/lists/OrganicPopGeoListsCandidateSource.scala deleted file mode 100644 index a8b6f214c..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/lists/OrganicPopGeoListsCandidateSource.scala +++ /dev/null @@ -1,39 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.lists - -import com.twitter.product_mixer.component_library.model.candidate.TwitterListCandidate -import com.twitter.product_mixer.core.functional_component.candidate_source.strato.StratoKeyFetcherSource -import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier -import com.twitter.strato.client.Fetcher -import com.twitter.strato.generated.client.recommendations.interests_discovery.recommendations_mh.OrganicPopgeoListsClientColumn -import javax.inject.Inject -import javax.inject.Singleton - -@Singleton -class OrganicPopGeoListsCandidateSource @Inject() ( - organicPopgeoListsClientColumn: OrganicPopgeoListsClientColumn) - extends StratoKeyFetcherSource[ - OrganicPopgeoListsClientColumn.Key, - OrganicPopgeoListsClientColumn.Value, - TwitterListCandidate - ] { - - override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( - "OrganicPopGeoLists") - - override val fetcher: Fetcher[ - OrganicPopgeoListsClientColumn.Key, - Unit, - OrganicPopgeoListsClientColumn.Value - ] = - organicPopgeoListsClientColumn.fetcher - - override def stratoResultTransformer( - stratoResult: OrganicPopgeoListsClientColumn.Value - ): Seq[TwitterListCandidate] = { - stratoResult.recommendedListsByAlgo.flatMap { topLists => - topLists.lists.map { list => - TwitterListCandidate(list.listId) - } - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery/BUILD deleted file mode 100644 index a54812ce9..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery/BUILD +++ /dev/null @@ -1,23 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - platform = "java8", - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "finatra/inject/inject-core/src/main/scala/com/twitter/inject", - "people-discovery/api/thrift:thrift-scala", - "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/candidate_source", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/pipeline_failure", - "src/thrift/com/twitter/ads/adserver:adserver_common-scala", - "src/thrift/com/twitter/hermit:hermit-scala", - "stitch/stitch-core", - ], - exports = [ - "finatra/inject/inject-core/src/main/scala/com/twitter/inject", - "people-discovery/api/thrift:thrift-scala", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - "stitch/stitch-core", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/people_discovery/BUILD.docx new file mode 100644 index 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z{OXAF%9+CH-+Zn7y@R!OZ#{JDe{d>utLiH&zLzq27Ru=@KMS6E@s(`gU)IDXm9d}^ zEAijBK3ktBgT4Sa2aSouDk7%G< zJ_9HUo;d&-QJM?%J2vfk4bnnJK+8`9t&%~p{5%g-JH+S6hF}ea-qm8(-TDj+aiOdX z{3s?_^Fd82E~(5(1y5I^hXMM5k}&-ZjGt{$G@~6aiEa-1JSoDQlwz1UNRue&+R-Oo z5ZZ&vq1w@=VbD!LpNK%1&{6?40cBbOT|fG$F+#t1HB>+P7&5vM=>2bm5duwEd*kQ^ zpm%f;2E0Hq09&^g-7NIJBf_kQ&FGFn^d!+uLGNlIO!?6Q4HcA*7rK7*_8>z4 t} -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.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.product_mixer.core.pipeline.pipeline_failure.PipelineFailure -import com.twitter.product_mixer.core.pipeline.pipeline_failure.UnexpectedCandidateResult -import com.twitter.stitch.Stitch -import com.twitter.util.logging.Logging -import javax.inject.Inject -import javax.inject.Singleton - -object WhoToFollowModuleHeaderFeature extends Feature[UserCandidate, t.Header] -object WhoToFollowModuleDisplayOptionsFeature - extends Feature[UserCandidate, Option[t.DisplayOptions]] -object WhoToFollowModuleShowMoreFeature extends Feature[UserCandidate, Option[t.ShowMore]] - -@Singleton -class PeopleDiscoveryCandidateSource @Inject() ( - peopleDiscoveryService: t.ThriftPeopleDiscoveryService.MethodPerEndpoint) - extends CandidateSourceWithExtractedFeatures[t.GetModuleRequest, t.RecommendedUser] - with Logging { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier(name = "PeopleDiscovery") - - override def apply( - request: t.GetModuleRequest - ): Stitch[CandidatesWithSourceFeatures[t.RecommendedUser]] = { - Stitch - .callFuture(peopleDiscoveryService.getModules(request)) - .map { response: t.GetModuleResponse => - // under the assumption getModules returns a maximum of one module - response.modules - .collectFirst { module => - module.layout match { - case t.Layout.UserBioList(layout) => - layoutToCandidatesWithSourceFeatures( - layout.userRecommendations, - layout.header, - layout.displayOptions, - layout.showMore) - case t.Layout.UserTweetCarousel(layout) => - layoutToCandidatesWithSourceFeatures( - layout.userRecommendations, - layout.header, - layout.displayOptions, - layout.showMore) - } - }.getOrElse(throw PipelineFailure(UnexpectedCandidateResult, "unexpected missing module")) - } - } - - private def layoutToCandidatesWithSourceFeatures( - userRecommendations: Seq[t.RecommendedUser], - header: t.Header, - displayOptions: Option[t.DisplayOptions], - showMore: Option[t.ShowMore], - ): CandidatesWithSourceFeatures[t.RecommendedUser] = { - val features = FeatureMapBuilder() - .add(WhoToFollowModuleHeaderFeature, header) - .add(WhoToFollowModuleDisplayOptionsFeature, displayOptions) - .add(WhoToFollowModuleShowMoreFeature, showMore) - .build() - CandidatesWithSourceFeatures(userRecommendations, features) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/recommendations/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/recommendations/BUILD.bazel deleted file mode 100644 index cb69d82ec..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/recommendations/BUILD.bazel +++ /dev/null @@ -1,21 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "3rdparty/jvm/javax/inject:javax.inject", - "follow-recommendations-service/thrift/src/main/thrift:thrift-scala", - "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/candidate_source", - "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/model/marshalling/request", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", - "strato/config/columns/onboarding/follow-recommendations-service:follow-recommendations-service-strato-client", - ], - exports = [ - "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/marshalling/request", - 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com.twitter.product_mixer.core.functional_component.candidate_source.strato.StratoKeyViewFetcherSource -import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier -import com.twitter.strato.client.Fetcher -import com.twitter.strato.generated.client.onboarding.follow_recommendations_service.GetRecommendationsClientColumn -import javax.inject.Inject -import javax.inject.Singleton - -/** - * Returns a list of FollowRecommendations as [[fr.UserRecommendation]]s fetched from Strato - */ -@Singleton -class UserFollowRecommendationsCandidateSource @Inject() ( - getRecommendationsClientColumn: GetRecommendationsClientColumn) - extends StratoKeyViewFetcherSource[ - fr.RecommendationRequest, - Unit, - fr.RecommendationResponse, - fr.UserRecommendation - ] { - - override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( - "FollowRecommendationsService") - - override val fetcher: Fetcher[fr.RecommendationRequest, Unit, fr.RecommendationResponse] = - getRecommendationsClientColumn.fetcher - - override def stratoResultTransformer( - stratoKey: fr.RecommendationRequest, - stratoResult: fr.RecommendationResponse - ): Seq[fr.UserRecommendation] = { - stratoResult.recommendations.map { - case fr.Recommendation.User(userRec: fr.UserRecommendation) => - userRec - case _ => - throw new Exception("Invalid recommendation type returned from FRS") - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/social_graph/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/social_graph/BUILD.bazel deleted file mode 100644 index dbc8cba53..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/social_graph/BUILD.bazel +++ /dev/null @@ -1,22 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "3rdparty/jvm/javax/inject:javax.inject", - "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/candidate_source", - "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/model/marshalling/request", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline/candidate", - "socialgraph/server/src/main/scala/com/twitter/socialgraph/util", - "src/thrift/com/twitter/socialgraph:thrift-scala", - ], - exports = [ - "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/candidate_source", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - "src/thrift/com/twitter/socialgraph:thrift-scala", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/social_graph/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/social_graph/BUILD.docx new file mode 100644 index 0000000000000000000000000000000000000000..b2d6fa6fd83075134c200bac36ee6a7bc768f061 GIT binary patch literal 36956 zcmagEWmp~Awl<1ua1HM6?hb+A?ruRB?kqgGTX1)GclQw7EkFXn-M^LY-g|fNbI!eg ziibJJcx8;LS+i=Dk}M;)@@S%}1290jX<*MY`?As$bnCgX-jdztw}4&vc%k}q6+ zRw)#QDLymp&X;JdUa;GznMzk&;zVCRQ?q~!vc#ugBcJKif_q;wo>XQ@dXI2^2&T3* z)93vR7dXpa?Es%4ddQhru1;XG)&p1!bycheI`MD_oQmK$bXZNnEO%Zfxr3U@(J1vE z{ipqLCAXJJKXQbML8WRSc>)fX38=NfF9qZTn zijX~q5do;*zT5ROxld@aAHmd@MO~}vY@%C-d_Mu$1XI<{{eaBYe6#1zJzmqG|J13Y 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/BUILD.bazel deleted file mode 100644 index c83297fd8..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/BUILD.bazel +++ /dev/null @@ -1,13 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "finatra/inject/inject-core/src/main/scala/com/twitter/inject", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - "src/thrift/com/twitter/timelineranker:thrift-scala", - "src/thrift/com/twitter/timelineranker/server/model:thrift-scala", - "stitch/stitch-core", - ], -) diff --git 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They are not returned to the end user. - */ -object TimelineRankerInNetworkSourceTweetsByTweetIdMapFeature - extends Feature[PipelineQuery, Map[Long, t.CandidateTweet]] - -@Singleton -class TimelineRankerInNetworkCandidateSource @Inject() ( - timelineRankerClient: t.TimelineRanker.MethodPerEndpoint) - extends CandidateSourceWithExtractedFeatures[t.RecapQuery, t.CandidateTweet] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("TimelineRankerInNetwork") - - override def apply( - request: t.RecapQuery - ): Stitch[CandidatesWithSourceFeatures[t.CandidateTweet]] = { - Stitch - .callFuture(timelineRankerClient.getRecycledTweetCandidates(Seq(request))) - .map { response: Seq[t.GetCandidateTweetsResponse] => - val candidates = - response.headOption.flatMap(_.candidates).getOrElse(Seq.empty).filter(_.tweet.nonEmpty) - val sourceTweetsByTweetId = - response.headOption - .flatMap(_.sourceTweets).getOrElse(Seq.empty).filter(_.tweet.nonEmpty) - .map { candidate => - (candidate.tweet.get.id, candidate) - }.toMap - val sourceTweetsByTweetIdMapFeature = FeatureMapBuilder() - .add(TimelineRankerInNetworkSourceTweetsByTweetIdMapFeature, sourceTweetsByTweetId) - .build() - CandidatesWithSourceFeatures( - candidates = candidates, - features = sourceTweetsByTweetIdMapFeature) - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/TimelineRankerRecapCandidateSource.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/TimelineRankerRecapCandidateSource.docx new file mode 100644 index 0000000000000000000000000000000000000000..81b906ee14af55ee55677ec7ad1a42cc17aaafc0 GIT binary patch literal 37141 zcmagEWmsIvwm*!!dvJGmcL)S`m!Lr#2@Z`1_u%gC9^4&5aCZp=cmH>0=A1Kg?!E8( zW%tunwSKbJ?yB0mOIZ#Q3JVMj3=ZsFDvx%hYGGU=I2hO{3>X+Ds8vq_VE@_N{(uyeBm$Mh_Bo<*(F9}ravTX-i2gW#j$?EhQUY$jj6M2Y-yK(+7 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_ranker/TimelineRankerRecapCandidateSource.scala +++ /dev/null @@ -1,28 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.timeline_ranker - -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.timelineranker.{thriftscala => t} - -import javax.inject.Inject -import javax.inject.Singleton - -@Singleton -class TimelineRankerRecapCandidateSource @Inject() ( - timelineRankerClient: t.TimelineRanker.MethodPerEndpoint) - extends CandidateSource[t.RecapQuery, t.CandidateTweet] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("TimelineRankerRecap") - - override def apply( - request: t.RecapQuery - ): Stitch[Seq[t.CandidateTweet]] = { 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They are not returned to the end user. - */ -case object TimelineRankerUtegSourceTweetsFeature - extends Feature[PipelineQuery, Seq[t.CandidateTweet]] - -@Singleton -class TimelineRankerUtegCandidateSource @Inject() ( - timelineRankerClient: t.TimelineRanker.MethodPerEndpoint) - extends CandidateSourceWithExtractedFeatures[t.UtegLikedByTweetsQuery, t.CandidateTweet] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("TimelineRankerUteg") - - override def apply( - request: t.UtegLikedByTweetsQuery - ): Stitch[CandidatesWithSourceFeatures[t.CandidateTweet]] = { - Stitch - .callFuture(timelineRankerClient.getUtegLikedByTweetCandidates(Seq(request))) - .map { response => - val result = response.headOption.getOrElse( - throw PipelineFailure(UnexpectedCandidateResult, "Empty Timeline Ranker response")) - val candidates = result.candidates.toSeq.flatten - val sourceTweets = result.sourceTweets.toSeq.flatten - - val candidateSourceFeatures = FeatureMapBuilder() - .add(TimelineRankerUtegSourceTweetsFeature, sourceTweets) - .build() - - CandidatesWithSourceFeatures(candidates = candidates, features = candidateSourceFeatures) - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/BUILD.bazel deleted file mode 100644 index e4435bc0a..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/BUILD.bazel +++ /dev/null @@ -1,16 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "finatra/inject/inject-core/src/main/scala/com/twitter/inject", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - "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/timelineservice/server/suggests/features:thrift-scala", - "src/thrift/com/twitter/timelineservice/server/suggests/logging:thrift-scala", - "stitch/stitch-core", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/BUILD.docx new file mode 100644 index 0000000000000000000000000000000000000000..68232a3b21b4599f0d731efaf0c68c81570e50ec GIT binary patch literal 36921 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zu6U1it^*9^Q2y`8e}?>W7BCf@zsE^{K<0)tAm(GFIv_eeBzgM;y4W3-E6L}8{DG1` z^hgR%wPRwk$4ioP$m^s>oH_p=oS%v)!aVJSm xA-7sb6u+47vvSOMk?YCh!6Q8@=BFigJUZ0VrU6#aw^hXovI3R|RqD5I{|6@3Rh0k$ literal 0 HcmV?d00001 diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/TimelineScorerCandidateSource.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/TimelineScorerCandidateSource.scala deleted file mode 100644 index b2d6f3912..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_scorer/TimelineScorerCandidateSource.scala +++ /dev/null @@ -1,156 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.timeline_scorer - -import com.twitter.product_mixer.core.feature.Feature -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.product_mixer.core.pipeline.PipelineQuery -import com.twitter.stitch.Stitch -import com.twitter.timelinescorer.common.scoredtweetcandidate.thriftscala.v1 -import com.twitter.timelinescorer.common.scoredtweetcandidate.thriftscala.v1.Ancestor -import com.twitter.timelinescorer.common.scoredtweetcandidate.{thriftscala => ct} -import com.twitter.timelinescorer.{thriftscala => t} -import com.twitter.timelineservice.suggests.logging.candidate_tweet_source_id.thriftscala.CandidateTweetSourceId -import javax.inject.Inject -import javax.inject.Singleton - -case class ScoredTweetCandidateWithFocalTweet( - candidate: v1.ScoredTweetCandidate, - focalTweetIdOpt: Option[Long]) - -case object TimelineScorerCandidateSourceSucceededFeature extends Feature[PipelineQuery, Boolean] - -@Singleton -class TimelineScorerCandidateSource @Inject() ( - timelineScorerClient: t.TimelineScorer.MethodPerEndpoint) - extends CandidateSourceWithExtractedFeatures[ - t.ScoredTweetsRequest, - ScoredTweetCandidateWithFocalTweet - ] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("TimelineScorer") - - private val MaxConversationAncestors = 2 - - override def apply( - request: t.ScoredTweetsRequest - ): Stitch[CandidatesWithSourceFeatures[ScoredTweetCandidateWithFocalTweet]] = { - Stitch - .callFuture(timelineScorerClient.getScoredTweets(request)) - .map { response => - val scoredTweetsOpt = response match { - case t.ScoredTweetsResponse.V1(v1) => v1.scoredTweets - case t.ScoredTweetsResponse.UnknownUnionField(field) => - throw new UnsupportedOperationException(s"Unknown response type: ${field.field.name}") - } - val scoredTweets = scoredTweetsOpt.getOrElse(Seq.empty) - - val allAncestors = scoredTweets.flatMap { - case ct.ScoredTweetCandidate.V1(v1) if isEligibleReply(v1) => - v1.ancestors.get.map(_.tweetId) - case _ => Seq.empty - }.toSet - - // Remove tweets within ancestor list of other tweets to avoid serving duplicates - val keptTweets = scoredTweets.collect { - case ct.ScoredTweetCandidate.V1(v1) if !allAncestors.contains(originalTweetId(v1)) => v1 - } - - // Add parent and root tweet for eligible reply focal tweets - val candidates = keptTweets - .flatMap { - case v1 if isEligibleReply(v1) => - val ancestors = v1.ancestors.get - val focalTweetId = v1.tweetId - - // Include root tweet if the conversation has atleast 2 ancestors - val optionallyIncludedRootTweet = if (ancestors.size >= MaxConversationAncestors) { - val rootTweet = toScoredTweetCandidateFromAncestor( - ancestor = ancestors.last, - inReplyToTweetId = None, - conversationId = v1.conversationId, - ancestors = None, - candidateTweetSourceId = v1.candidateTweetSourceId - ) - Seq((rootTweet, Some(v1))) - } else Seq.empty - - /** - * Setting the in-reply-to tweet id on the immediate parent, if one exists, - * helps ensure tweet type metrics correctly distinguish roots from non-roots. - */ - val inReplyToTweetId = ancestors.tail.headOption.map(_.tweetId) - val parentAncestor = toScoredTweetCandidateFromAncestor( - ancestor = ancestors.head, - inReplyToTweetId = inReplyToTweetId, - conversationId = v1.conversationId, - ancestors = Some(ancestors.tail), - candidateTweetSourceId = v1.candidateTweetSourceId - ) - - optionallyIncludedRootTweet ++ - Seq((parentAncestor, Some(v1)), (v1, Some(v1))) - - case any => Seq((any, None)) // Set focalTweetId to None if not eligible for convo - } - - /** - * Dedup each tweet keeping the one with highest scored Focal Tweet - * Focal Tweet ID != the Conversation ID, which is set to the root of the conversation - * Focal Tweet ID will be defined for tweets with ancestors that should be - * in conversation modules and None for standalone tweets. - */ - val sortedDedupedCandidates = candidates - .groupBy { case (v1, _) => v1.tweetId } - .mapValues { group => - val (candidate, focalTweetOpt) = group.maxBy { - case (_, Some(focal)) => focal.score - case (_, None) => 0 - } - ScoredTweetCandidateWithFocalTweet(candidate, focalTweetOpt.map(focal => focal.tweetId)) - }.values.toSeq.sortBy(_.candidate.tweetId) - - CandidatesWithSourceFeatures( - candidates = sortedDedupedCandidates, - features = FeatureMapBuilder() - .add(TimelineScorerCandidateSourceSucceededFeature, true) - .build() - ) - } - } - - private def isEligibleReply(candidate: ct.ScoredTweetCandidateAliases.V1Alias): Boolean = { - candidate.inReplyToTweetId.nonEmpty && - !candidate.isRetweet.getOrElse(false) && - candidate.ancestors.exists(_.nonEmpty) - } - - /** - * If we have a retweet, get the source tweet id. - * If it is not a retweet, get the regular tweet id. - */ - private def originalTweetId(candidate: ct.ScoredTweetCandidateAliases.V1Alias): Long = { - candidate.sourceTweetId.getOrElse(candidate.tweetId) - } - - private def toScoredTweetCandidateFromAncestor( - ancestor: Ancestor, - inReplyToTweetId: Option[Long], - conversationId: Option[Long], - ancestors: Option[Seq[Ancestor]], - candidateTweetSourceId: Option[CandidateTweetSourceId] - ): ct.ScoredTweetCandidateAliases.V1Alias = { - ct.v1.ScoredTweetCandidate( - tweetId = ancestor.tweetId, - authorId = ancestor.userId.getOrElse(0L), - score = 0.0, - isAncestorCandidate = Some(true), - inReplyToTweetId = inReplyToTweetId, - conversationId = conversationId, - ancestors = ancestors, - candidateTweetSourceId = candidateTweetSourceId - ) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service/BUILD deleted file mode 100644 index f9453b9a1..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service/BUILD +++ /dev/null @@ -1,18 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "3rdparty/jvm/javax/inject:javax.inject", - "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", - "src/thrift/com/twitter/timelineservice/server/internal:thrift-scala", - "stitch/stitch-timelineservice/src/main/scala", - ], - 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/functional_component/candidate_source", - "stitch/stitch-timelineservice/src/main/scala", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timeline_service/BUILD.docx new file mode 100644 index 0000000000000000000000000000000000000000..7618957117b8622cc8c5cfcb6a02813607349a3b GIT binary patch literal 36928 zcmagEWmp{9wm*z(a1AcO-Q6V++}$l`Bf+8Z;BLX)-KBANLU6YL2?TflcV_0CGjr~} z@B5{A*n6#?tW~vZS9K}NLBn7}KtLcsyiMcLu2Lg- zAFeT@916!ApP6>+OR`!o)aBDmttTOQY+#V7RX_n<;#07m&wOIZvnLf#F1skROFTCS zSKFHD^LCmWl6AMXpWg^GCeWE2?H*5Zj%fR&Q=;u z^{c%_s2)Se0Q7I)?R%Kr$F(>P;p)qxuGDllFl|D<9|LTIscUC{Kxb>cItb(*t!grS z?9kPTQTMez43Z)6x|Kl9Jn9LgqiG;FNP+Sj zq2WJ*_L)mVq)rti7Mn84!N>FJbSOdLdz~Asx6CK0=-VM_Bt#n^I^cbGj{3N70=t5L z_a>nFR_3X*c+Yh;FyBm`F@;X=IhnW+qdVT@(fa|pq~filaPQM%$@-qi*eyl=BesGe 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- -import com.twitter.product_mixer.component_library.model.cursor.NextCursorFeature -import com.twitter.product_mixer.component_library.model.cursor.PreviousCursorFeature -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.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 - -case object TimelineServiceResponseWasTruncatedFeature - extends FeatureWithDefaultOnFailure[PipelineQuery, Boolean] { - override val defaultValue: Boolean = false -} - -@Singleton -class TimelineServiceTweetCandidateSource @Inject() ( - timelineService: TimelineService) - extends CandidateSourceWithExtractedFeatures[t.TimelineQuery, t.Tweet] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("TimelineServiceTweet") - - override def apply(request: t.TimelineQuery): Stitch[CandidatesWithSourceFeatures[t.Tweet]] = { - timelineService - .getTimeline(request).map { timeline => - val candidates = timeline.entries.collect { - case t.TimelineEntry.Tweet(tweet) => tweet - } - - val candidateSourceFeatures = - FeatureMapBuilder() - .add(TimelineServiceResponseWasTruncatedFeature, timeline.wasTruncated.getOrElse(false)) - .add(PreviousCursorFeature, timeline.responseCursor.flatMap(_.top).getOrElse("")) - .add(NextCursorFeature, timeline.responseCursor.flatMap(_.bottom).getOrElse("")) - .build() - - CandidatesWithSourceFeatures(candidates = candidates, features = candidateSourceFeatures) - } - } - -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timelines_impression_store/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timelines_impression_store/BUILD deleted file mode 100644 index 60d486676..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timelines_impression_store/BUILD +++ /dev/null @@ -1,16 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "3rdparty/jvm/javax/inject:javax.inject", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - "src/thrift/com/twitter/timelines/impression:thrift-scala", - "strato/config/columns/timelines/impression-store:impression-store-strato-client", - ], - exports = [ - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - "strato/config/columns/timelines/impression-store:impression-store-strato-client", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timelines_impression_store/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/timelines_impression_store/BUILD.docx new file mode 100644 index 0000000000000000000000000000000000000000..a7733f4e7ec615ebaeb64719b34045fc23f00721 GIT binary patch literal 36923 zcmagEWmp~Awl<1ua1HM6?hb+A?h-WU!kvW&2=2k%-QC?oaCb;>cllPjd+*)7&pG%0 zDIVq=6&?DkVW2kYq?CP=G=Rdv7|B!(mRB+12EOi 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com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier -import com.twitter.strato.client.Fetcher -import com.twitter.strato.generated.client.timelines.impression_store.TweetImpressionStoreManhattanV2OnUserClientColumn -import com.twitter.timelines.impression.thriftscala.TweetImpressionsEntries -import com.twitter.timelines.impression.{thriftscala => t} -import javax.inject.Inject -import javax.inject.Singleton - -@Singleton -class TimelinesImpressionStoreCandidateSourceV2 @Inject() ( - client: TweetImpressionStoreManhattanV2OnUserClientColumn) - extends StratoKeyFetcherSource[ - Long, - t.TweetImpressionsEntries, - t.TweetImpressionsEntry - ] { - - override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( - "TimelinesImpressionStore") - - override val fetcher: Fetcher[Long, Unit, TweetImpressionsEntries] = client.fetcher - - override def stratoResultTransformer( - stratoResult: t.TweetImpressionsEntries - ): Seq[t.TweetImpressionsEntry] = - stratoResult.entries -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/topics/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/topics/BUILD deleted file mode 100644 index d145edc44..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/topics/BUILD +++ /dev/null @@ -1,11 +0,0 @@ -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/functional_component/candidate_source/strato", - "strato/config/columns/interests:interests-strato-client", - "strato/src/main/scala/com/twitter/strato/client", - ], -) diff --git 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/ConversationServiceCandidateSource.scala +++ /dev/null @@ -1,173 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc - -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -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.stitch.Stitch -import com.twitter.tweetconvosvc.tweet_ancestor.{thriftscala => ta} -import com.twitter.tweetconvosvc.{thriftscala => tcs} -import com.twitter.util.Return -import com.twitter.util.Throw -import javax.inject.Inject -import javax.inject.Singleton - -case class ConversationServiceCandidateSourceRequest( - tweetsWithConversationMetadata: Seq[TweetWithConversationMetadata]) - -case class TweetWithConversationMetadata( - tweetId: Long, - userId: Option[Long], - sourceTweetId: Option[Long], - sourceUserId: Option[Long], - inReplyToTweetId: Option[Long], - conversationId: Option[Long], - ancestors: Seq[ta.TweetAncestor]) - -/** - * Candidate source that fetches ancestors of input candidates from Tweetconvosvc and - * returns a flattened list of input and ancestor candidates. - */ -@Singleton -class ConversationServiceCandidateSource @Inject() ( - conversationServiceClient: tcs.ConversationService.MethodPerEndpoint) - extends CandidateSourceWithExtractedFeatures[ - ConversationServiceCandidateSourceRequest, - TweetWithConversationMetadata - ] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("ConversationService") - - private val maxModuleSize = 3 - private val maxAncestorsInConversation = 2 - private val numberOfRootTweets = 1 - private val maxTweetsInConversationWithSameId = 1 - - override def apply( - request: ConversationServiceCandidateSourceRequest - ): Stitch[CandidatesWithSourceFeatures[TweetWithConversationMetadata]] = { - val inputTweetsWithConversationMetadata: Seq[TweetWithConversationMetadata] = - request.tweetsWithConversationMetadata - val ancestorsRequest = - tcs.GetAncestorsRequest(inputTweetsWithConversationMetadata.map(_.tweetId)) - - // build the tweets with conversation metadata by calling the conversation service with reduced - // ancestors to limit to maxModuleSize - val tweetsWithConversationMetadataFromAncestors: Stitch[Seq[TweetWithConversationMetadata]] = - Stitch - .callFuture(conversationServiceClient.getAncestors(ancestorsRequest)) - .map { getAncestorsResponse: tcs.GetAncestorsResponse => - inputTweetsWithConversationMetadata - .zip(getAncestorsResponse.ancestors).collect { - case (focalTweet, tcs.TweetAncestorsResult.TweetAncestors(ancestorsResult)) - if ancestorsResult.nonEmpty => - getTweetsInThread(focalTweet, ancestorsResult.head) - }.flatten - } - - // dedupe the tweets in the list and transform the calling error to - // return the requested tweets with conversation metadata - val transformedTweetsWithConversationMetadata: Stitch[Seq[TweetWithConversationMetadata]] = - tweetsWithConversationMetadataFromAncestors.transform { - case Return(ancestors) => - Stitch.value(dedupeCandidates(inputTweetsWithConversationMetadata, ancestors)) - case Throw(_) => - Stitch.value(inputTweetsWithConversationMetadata) - } - - // return the candidates with empty source features from transformed tweetsWithConversationMetadata - transformedTweetsWithConversationMetadata.map { - responseTweetsWithConversationMetadata: Seq[TweetWithConversationMetadata] => - CandidatesWithSourceFeatures( - responseTweetsWithConversationMetadata, - FeatureMap.empty - ) - } - } - - private def getTweetsInThread( - focalTweet: TweetWithConversationMetadata, - ancestors: ta.TweetAncestors - ): Seq[TweetWithConversationMetadata] = { - // Re-add the focal tweet so we can easily build modules and dedupe later. - // Note, TweetConvoSVC returns the bottom of the thread first, so we - // reverse them for easy rendering. - val focalTweetWithConversationMetadata = TweetWithConversationMetadata( - tweetId = focalTweet.tweetId, - userId = focalTweet.userId, - sourceTweetId = focalTweet.sourceTweetId, - sourceUserId = focalTweet.sourceUserId, - inReplyToTweetId = focalTweet.inReplyToTweetId, - conversationId = Some(focalTweet.tweetId), - ancestors = ancestors.ancestors - ) - - val parentTweets = ancestors.ancestors.map { ancestor => - TweetWithConversationMetadata( - tweetId = ancestor.tweetId, - userId = Some(ancestor.userId), - sourceTweetId = None, - sourceUserId = None, - inReplyToTweetId = None, - conversationId = Some(focalTweet.tweetId), - ancestors = Seq.empty - ) - } ++ getTruncatedRootTweet(ancestors, focalTweet.tweetId) - - val (intermediates, root) = parentTweets.splitAt(parentTweets.size - numberOfRootTweets) - val truncatedIntermediates = - intermediates.take(maxModuleSize - maxAncestorsInConversation).reverse - root ++ truncatedIntermediates :+ focalTweetWithConversationMetadata - } - - /** - * Ancestor store truncates at 256 ancestors. For very large reply threads, we try best effort - * to append the root tweet to the ancestor list based on the conversationId and - * conversationRootAuthorId. When rendering conversation modules, we can display the root tweet - * instead of the 256th highest ancestor. - */ - private def getTruncatedRootTweet( - ancestors: ta.TweetAncestors, - focalTweetId: Long - ): Option[TweetWithConversationMetadata] = { - ancestors.conversationRootAuthorId.collect { - case rootAuthorId - if ancestors.state == ta.ReplyState.Partial && - ancestors.ancestors.last.tweetId != ancestors.conversationId => - TweetWithConversationMetadata( - tweetId = ancestors.conversationId, - userId = Some(rootAuthorId), - sourceTweetId = None, - sourceUserId = None, - inReplyToTweetId = None, - conversationId = Some(focalTweetId), - ancestors = Seq.empty - ) - } - } - - private def dedupeCandidates( - inputTweetsWithConversationMetadata: Seq[TweetWithConversationMetadata], - ancestors: Seq[TweetWithConversationMetadata] - ): Seq[TweetWithConversationMetadata] = { - val dedupedAncestors: Iterable[TweetWithConversationMetadata] = ancestors - .groupBy(_.tweetId).map { - case (_, duplicateAncestors) - if duplicateAncestors.size > maxTweetsInConversationWithSameId => - duplicateAncestors.maxBy(_.conversationId.getOrElse(0L)) - case (_, nonDuplicateAncestors) => nonDuplicateAncestors.head - } - // 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. - val sortedDedupedAncestors: Seq[TweetWithConversationMetadata] = - dedupedAncestors.toSeq.sortBy(_.tweetId) - - val ancestorIds = sortedDedupedAncestors.map(_.tweetId).toSet - val updatedCandidates = inputTweetsWithConversationMetadata.filterNot { candidate => - ancestorIds.contains(candidate.tweetId) - } - sortedDedupedAncestors ++ updatedCandidates - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/ConversationServiceResponseFeatureTransformer.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/ConversationServiceResponseFeatureTransformer.docx new file mode 100644 index 0000000000000000000000000000000000000000..98d05d6d0ae0aa17fa7835e0bf780a1e4741040e GIT binary patch literal 37283 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/ConversationServiceResponseFeatureTransformer.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/ConversationServiceResponseFeatureTransformer.scala deleted file mode 100644 index 59a0c725f..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/tweetconvosvc/ConversationServiceResponseFeatureTransformer.scala +++ /dev/null @@ -1,49 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.tweetconvosvc - -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.transformer.CandidateFeatureTransformer -import com.twitter.product_mixer.core.model.common.identifier.TransformerIdentifier -import com.twitter.timelineservice.suggests.thriftscala.SuggestType - -object AuthorIdFeature extends Feature[TweetCandidate, Option[Long]] -object AncestorIdsFeature extends Feature[TweetCandidate, Seq[Long]] -object ConversationModuleFocalTweetIdFeature extends Feature[TweetCandidate, Option[Long]] -object InReplyToFeature extends Feature[TweetCandidate, Option[Long]] -object IsRetweetFeature extends Feature[TweetCandidate, Boolean] -object SourceTweetIdFeature extends Feature[TweetCandidate, Option[Long]] -object SourceUserIdFeature extends Feature[TweetCandidate, Option[Long]] -object SuggestTypeFeature extends Feature[TweetCandidate, Option[SuggestType]] - -object ConversationServiceResponseFeatureTransformer - extends CandidateFeatureTransformer[TweetWithConversationMetadata] { - override val identifier: TransformerIdentifier = - TransformerIdentifier("ConversationServiceResponse") - - override val features: Set[Feature[_, _]] = - Set( - AuthorIdFeature, - InReplyToFeature, - IsRetweetFeature, - SourceTweetIdFeature, - SourceUserIdFeature, - ConversationModuleFocalTweetIdFeature, - AncestorIdsFeature, - SuggestTypeFeature - ) - - override def transform(candidate: TweetWithConversationMetadata): FeatureMap = { - FeatureMapBuilder() - .add(AuthorIdFeature, candidate.userId) - .add(InReplyToFeature, candidate.inReplyToTweetId) - .add(IsRetweetFeature, candidate.sourceTweetId.isDefined) - .add(SourceTweetIdFeature, candidate.sourceTweetId) - .add(SourceUserIdFeature, candidate.sourceUserId) - .add(ConversationModuleFocalTweetIdFeature, candidate.conversationId) - .add(AncestorIdsFeature, candidate.ancestors.map(_.tweetId)) - .add(SuggestTypeFeature, Some(SuggestType.OrganicConversation)) - .build() - } -} diff --git 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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 - -/** - * Takes a conversation module item and truncates it to be at most the focal tweet, the focal tweet's - * in reply to tweet and optionally, the root conversation tweet if desired. - * @param pipelineScope What pipeline scopes to include in this. - * @param includeRootTweet Whether to include the root tweet at the top of the conversation or not. - * @tparam Query - */ -case class DropMaxConversationModuleItemCandidates[-Query <: PipelineQuery]( - override val pipelineScope: CandidateScope, - includeRootTweet: Boolean) - extends Selector[Query] { - override def apply( - query: Query, - remainingCandidates: Seq[CandidateWithDetails], - result: Seq[CandidateWithDetails] - ): SelectorResult = { - val updatedCandidates = remainingCandidates.collect { - case moduleCandidate: ModuleCandidateWithDetails if pipelineScope.contains(moduleCandidate) => - updateConversationModule(moduleCandidate, includeRootTweet) - case candidates => candidates - } - SelectorResult(remainingCandidates = updatedCandidates, result = result) - } - - private def updateConversationModule( - module: ModuleCandidateWithDetails, - includeRootTweet: Boolean - ): ModuleCandidateWithDetails = { - // If the thread is only the root tweet & a focal tweet replying to it, no truncation can be done. - if (module.candidates.length <= 2) { - module - } else { - // If a thread is more 3 or more tweets, we optionally keep the root tweet if desired, and take - // the focal tweet tweet and its direct ancestor (the one it would have replied to) and return - // those. - val tweetCandidates = module.candidates - val replyAndFocalTweet = tweetCandidates.takeRight(2) - val updatedConversation = if (includeRootTweet) { - tweetCandidates.headOption ++ replyAndFocalTweet - } else { - replyAndFocalTweet - } - module.copy(candidates = updatedConversation.toSeq) - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/BUILD deleted file mode 100644 index 2ed1a6316..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/BUILD +++ /dev/null @@ -1,23 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - platform = "java8", - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder", - "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/slice", - "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/slice/builder", - "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/decorator/slice/builder", - "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/slice", - "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/slice/builder", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/BUILD.docx new file mode 100644 index 0000000000000000000000000000000000000000..3dc59cf375a88b3917f2f557ca603549da832412 GIT binary patch literal 36914 zcmagEWmp}_wm*!!dvJGmcL)S`m!Ls6?rc0ja1ZY84%xUnA-G$B1cJN&cV_0CGjr~} z@B5{BsH*jowYsaSdzY#LGz<;|1Ox)an{+%ELHNV~x+p!|l{q2Nc zq}GgTI2>z2R{E_!>1u;WmtPC5ft2*Ikx`aTAtiLFU*UQI>xmWLo=gIT{G!}0$=o1Z zU0asln`vH1_T9REK@+U7Q^`F2;1u0^h*-MnIBhJlp)dq>kulha+QJ#W{0=H7P4&YO zx?QFZdt<5|&l3Tjl=o7BGC9vnthCzMc9}?Dg7`m2nx1LNel%@L9B{4om}F{nvDR{K zSnVxF^BO`1V0`=T(8KCEuETW**H9jPrJ=upWgGVW7+@DlTQ~ayI!EW#Q7G?dRh#KU 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/SliceItemCandidateDecorator.scala deleted file mode 100644 index abe128926..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/SliceItemCandidateDecorator.scala +++ /dev/null @@ -1,41 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.slice - -import com.twitter.product_mixer.component_library.model.candidate.CursorCandidate -import com.twitter.product_mixer.component_library.model.presentation.slice.SliceItemPresentation -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.common.identifier.DecoratorIdentifier -import com.twitter.product_mixer.core.model.marshalling.response.slice.CursorItem -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator -import com.twitter.product_mixer.core.functional_component.decorator.Decoration -import com.twitter.product_mixer.core.functional_component.decorator.slice.builder.CandidateSliceItemBuilder -import com.twitter.product_mixer.core.model.common.CandidateWithFeatures -import com.twitter.stitch.Stitch - -/** - * Adds a [[Decoration]] for all `candidates` that are [[CursorCandidate]]s - * - * @note Only [[CursorCandidate]]s get decorated in [[SliceItemCandidateDecorator]] - * because the [[com.twitter.product_mixer.component_library.premarshaller.slice.SliceDomainMarshaller]] - * handles the undecorated non-[[CursorCandidate]] `candidates` directly. - */ -case class SliceItemCandidateDecorator[Query <: PipelineQuery, Candidate <: UniversalNoun[Any]]( - cursorBuilder: CandidateSliceItemBuilder[Query, CursorCandidate, CursorItem], - override val identifier: DecoratorIdentifier = DecoratorIdentifier("SliceItemCandidate")) - extends CandidateDecorator[Query, Candidate] { - - override def apply( - query: Query, - candidates: Seq[CandidateWithFeatures[Candidate]] - ): Stitch[Seq[Decoration]] = { - val cursorPresentations = candidates.collect { - case CandidateWithFeatures(candidate: CursorCandidate, features) => - val cursorItem = cursorBuilder(query, candidate, features) - val presentation = SliceItemPresentation(sliceItem = cursorItem) - - Decoration(candidate, presentation) - } - - Stitch.value(cursorPresentations) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/BUILD deleted file mode 100644 index bbbde90f6..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/BUILD +++ /dev/null @@ -1,17 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - platform = "java8", - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "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/slice/builder", - "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/candidate", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/decorator/slice/builder", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/BUILD.docx 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zQo{qhQ|vNgZ?LqfwkTIci61r#Zk+hxaZ%~vF0q%ftK0g|M^B!VcymK#_4f&!KhG5_ zzdGW)a;9+lH(x7%?_jOnTMym(ADqhEs`|=`@1;zhg>rh!&w{63d?g$Bmo>3TWh`jK zO8htO_;$!Xz?+dtgc&qE&cPr#(>!8r(9(%hfi2Wiz%e&aw*v+mfMN^`(aylZ;MBa5 z_>jti)Z$oB>kQq1N;PkXA3&w|faA#AFx^19f$2Gw%lP&!yU#OKI{U=4-d)neA&`V0(l zp{xx2C?>rIh9=mg;*!doRPb~qdKjP|C<)Wwz_{2NMKjv*lIZ53&yym|5h;Y3gEWbP zt{r{i1)-g(6sjF<8V212^oau literal 0 HcmV?d00001 diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/CursorCandidateSliceItemBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/CursorCandidateSliceItemBuilder.scala deleted file mode 100644 index 307911c85..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/slice/builder/CursorCandidateSliceItemBuilder.scala +++ /dev/null @@ -1,29 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.slice.builder - -import com.twitter.product_mixer.component_library.model.candidate.CursorCandidate -import com.twitter.product_mixer.component_library.model.candidate.{ - NextCursor => CursorCandidateNextCursor -} -import com.twitter.product_mixer.component_library.model.candidate.{ - PreviousCursor => CursorCandidatePreviousCursor -} -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.model.marshalling.response.slice.CursorItem -import com.twitter.product_mixer.core.model.marshalling.response.slice.NextCursor -import com.twitter.product_mixer.core.model.marshalling.response.slice.PreviousCursor -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.product_mixer.core.functional_component.decorator.slice.builder.CandidateSliceItemBuilder - -case class CursorCandidateSliceItemBuilder() - extends CandidateSliceItemBuilder[PipelineQuery, CursorCandidate, CursorItem] { - - override def apply( - query: PipelineQuery, - candidate: CursorCandidate, - featureMap: FeatureMap - ): CursorItem = - candidate.cursorType match { - case CursorCandidateNextCursor => CursorItem(candidate.value, NextCursor) - case CursorCandidatePreviousCursor => CursorItem(candidate.value, PreviousCursor) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/BUILD deleted file mode 100644 index ea3b7b298..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/BUILD +++ /dev/null @@ -1,108 +0,0 @@ -scala_library( - name = "urt", - sources = ["**/*.scala"] + exclude_globs(["builder/richtext/*.scala"]), - compiler_option_sets = ["fatal_warnings"], - platform = "java8", - scalac_plugins = ["no-roomba"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - ":richtext", - "3rdparty/jvm/com/twitter/bijection:json", - "3rdparty/jvm/com/twitter/bijection:scrooge", - "explore/explore-mixer/server/src/main/scala/com/twitter/explore_mixer/model/request", - "interests-mixer/server/src/main/scala/com/twitter/interests_mixer/model/request", - "onboarding/service/thrift/src/main/thrift:thrift-scala", - "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/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/candidate/suggestion", - "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/trends_events", - "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/flexible_injection_pipeline/transformer", - "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/urt/builder", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/urt", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/icon", - "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/model/marshalling/response/urt/metadata", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/operation", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", - "src/thrift/com/twitter/ads/adserver:ad_metadata_container-scala", - "src/thrift/com/twitter/ads/adserver:adserver_common-scala", - "src/thrift/com/twitter/hermit:hermit-scala", - "src/thrift/com/twitter/suggests/controller_data:controller_data-scala", - "src/thrift/com/twitter/timelines/service:thrift-scala", - "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", - "src/thrift/com/twitter/timelineservice/server/internal:thrift-scala", - "stringcenter/client", - "stringcenter/client/src/main/java", - "stringcenter/client/src/main/scala/com/twitter/stringcenter/client", - "timelines/src/main/scala/com/twitter/timelines/util", - "trends/trending_content/src/main/scala/com/twitter/trends/trending_content/util:compacting-number-localizer", - "tweetconvosvc/common/src/main/thrift/com/twitter/tweetconvosvc/tweet_ancestor:thrift-scala", - "twitter-text/lib/java/src/main/java/com/twitter/twittertext", - ], - exports = [ - ":richtext", - "3rdparty/jvm/com/twitter/bijection:json", - "3rdparty/jvm/com/twitter/bijection:scrooge", - "explore/explore-mixer/server/src/main/scala/com/twitter/explore_mixer/model/request", - "interests-mixer/server/src/main/scala/com/twitter/interests_mixer/model/request", - "onboarding/service/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/candidate/ads", - "product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/model/candidate/suggestion", - "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/flexible_injection_pipeline/transformer", - "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/urt/builder", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/common/presentation/urt", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/alert", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/cover", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/icon", - "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/model/marshalling/response/urt/metadata", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/operation", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/timeline_module", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/pipeline", - "src/thrift/com/twitter/ads/adserver:ad_metadata_container-scala", - "src/thrift/com/twitter/ads/adserver:adserver_common-scala", - "src/thrift/com/twitter/suggests/controller_data:controller_data-scala", - "src/thrift/com/twitter/timelines/service:thrift-scala", - "src/thrift/com/twitter/timelinescorer/common/scoredtweetcandidate:thrift-scala", - "src/thrift/com/twitter/timelineservice/server/internal:thrift-scala", - "stringcenter/client", - "stringcenter/client/src/main/java", - "stringcenter/client/src/main/scala/com/twitter/stringcenter/client", - "timelines/src/main/scala/com/twitter/timelines/util", - "tweetconvosvc/common/src/main/thrift/com/twitter/tweetconvosvc/tweet_ancestor:thrift-scala", - "twitter-text/lib/java/src/main/java/com/twitter/twittertext", - ], -) - -scala_library( - name = "richtext", - sources = ["builder/richtext/*.scala"], - compiler_option_sets = ["fatal_warnings"], - platform = "java8", - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "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/decorator/urt/builder", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/richtext", - "twitter-text/lib/java/src/main/java/com/twitter/twittertext", - ], - exports = [ - "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/decorator/urt/builder", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/metadata", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/model/marshalling/response/urt/richtext", - "twitter-text/lib/java/src/main/java/com/twitter/twittertext", - ], -) diff --git 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtConversationItemCandidateDecorator.scala +++ /dev/null @@ -1,44 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt - -import com.twitter.product_mixer.component_library.decorator.urt.builder.item.tweet.TweetCandidateUrtItemBuilder -import com.twitter.product_mixer.component_library.model.candidate.BaseTweetCandidate -import com.twitter.product_mixer.component_library.model.presentation.urt.ConversationModuleItem -import com.twitter.product_mixer.component_library.model.presentation.urt.UrtItemPresentation -import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator -import com.twitter.product_mixer.core.functional_component.decorator.Decoration -import com.twitter.product_mixer.core.model.common.CandidateWithFeatures -import com.twitter.product_mixer.core.model.common.identifier.DecoratorIdentifier -import com.twitter.product_mixer.core.model.marshalling.response.urt.ModuleItemTreeDisplay -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.stitch.Stitch - -case class UrtConversationItemCandidateDecorator[ - Query <: PipelineQuery, - Candidate <: BaseTweetCandidate -]( - tweetCandidateUrtItemBuilder: TweetCandidateUrtItemBuilder[Query, Candidate], - override val identifier: DecoratorIdentifier = DecoratorIdentifier("UrtConversationItem")) - extends CandidateDecorator[Query, Candidate] { - - override def apply( - query: Query, - candidates: Seq[CandidateWithFeatures[Candidate]] - ): Stitch[Seq[Decoration]] = { - val candidatePresentations = candidates.view.zipWithIndex.map { - case (candidate, index) => - val itemPresentation = new UrtItemPresentation( - timelineItem = tweetCandidateUrtItemBuilder( - pipelineQuery = query, - tweetCandidate = candidate.candidate, - candidateFeatures = candidate.features) - ) with ConversationModuleItem { - override val treeDisplay: Option[ModuleItemTreeDisplay] = None - override val dispensable: Boolean = index < candidates.length - 1 - } - - Decoration(candidate.candidate, itemPresentation) - } - - Stitch.value(candidatePresentations) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtItemCandidateDecorator.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtItemCandidateDecorator.docx new file mode 100644 index 0000000000000000000000000000000000000000..ed94e3cbfadab22b64b65046ea244424f829b33b GIT binary patch literal 37249 zcmagEWmsIvwm*!!dvFQv?k<7g?h@P^cN!1w7Tn$4-8}?%3y?r?_kU+*&N(yZ-uu2^ zc0XNJ>nCgNuByGelw={Hu)x5;;K1dlxf%7eh5q z2Qz1VCJ#H?ret}=H4(JWXD`?(%tEBz;;7i=yACuC4Dt99H5oTN+RMx*au5%9lYHUo zvr3^bO!1j%cfQ1H^@80#%~ZPL5-0llnVJRUkR?6^8~IG9=G^;|@nkYf(tAYnLol_i znLh7kxWHNVY6tiXF+$G7a&-cewI0A?sHlhmE2w?{oKhP#Qi0+UzVAuG_q_m5ZVKHzJwc{t4n=0YD^e(u5+8BZ*a0ucdTFQ 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtItemCandidateDecorator.scala deleted file mode 100644 index 81398cd3d..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtItemCandidateDecorator.scala +++ /dev/null @@ -1,40 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt - -import com.twitter.product_mixer.component_library.model.presentation.urt.UrtItemPresentation -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.common.identifier.DecoratorIdentifier -import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineItem -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator -import com.twitter.product_mixer.core.functional_component.decorator.Decoration -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.model.common.CandidateWithFeatures -import com.twitter.stitch.Stitch - -/** - * Decorator that will apply the provided [[CandidateUrtEntryBuilder]] to each candidate independently to make a [[TimelineItem]] - */ -case class UrtItemCandidateDecorator[ - Query <: PipelineQuery, - BuilderInput <: UniversalNoun[Any], - BuilderOutput <: TimelineItem -]( - builder: CandidateUrtEntryBuilder[Query, BuilderInput, BuilderOutput], - override val identifier: DecoratorIdentifier = DecoratorIdentifier("UrtItemCandidate")) - extends CandidateDecorator[Query, BuilderInput] { - - override def apply( - query: Query, - candidates: Seq[CandidateWithFeatures[BuilderInput]] - ): Stitch[Seq[Decoration]] = { - val candidatePresentations = candidates.map { candidate => - val itemPresentation = UrtItemPresentation( - timelineItem = builder(query, candidate.candidate, candidate.features) - ) - - Decoration(candidate.candidate, itemPresentation) - } - - Stitch.value(candidatePresentations) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtItemInModuleDecorator.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtItemInModuleDecorator.docx new file mode 100644 index 0000000000000000000000000000000000000000..8c4b2d4858827c0b15cd7ed72368c04103ba6adf GIT binary patch literal 37418 zcmagEWmsIvwm*!!dvJGmcL)S`cMIA`aJK-#-QC^Y-7UCVkU((ve`jXSIWy6i z&7AZY-E3_d6Xg`vgi*epzhWja2@-pXA!C;9+Ed%p$Kr}tr{8jGEi;|Uf<4|(@P?_) zDuzHY#%846dlRnJ33PciQR;|^pX%vlXylWE7klMzE|^-3qBXk(GEz|d<2Q2s*F}gBN_^ZQ5G1346V+e<;v|KvsYC<9--Q! z`@BD<=<+(@>q`14<|mQ$y39zao@t#9*XGZi5@vXzCi&H{A#T8_)@72e-qAwMp>D0W z5Xo%_9)R-whiwm|>$nEnF;rb?#EpvfCYn|7k5hnk5M|BW5qOryyB%N7$(lOd=MHVH 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zZ{8VH055NB_yv5F4(5^JKWOkuWP1im{O9AZyY^5pG6HVy0zT3Sf5PXi}ny>b9b_+ACa zz7_6Hl-#ZkcHRPZCAF#ZGXmf7|3?0+$dv?>M9k166<) zA~qB_2;UVpl_j7&G;6%Urv!cHp*duz1T_BMkcbQ0G8%^pKm*+k0c`lM0$YW>P%UWe zxS?ei@vGM6ND`_74Yf8@{K(&DWmDh<<)QxI2ERS#7Zcm;9hw<)ffn@5s)PW0&^$OP H-|qeeQrUyL literal 0 HcmV?d00001 diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtMultipleModulesDecorator.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtMultipleModulesDecorator.scala deleted file mode 100644 index 3c13056b3..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/UrtMultipleModulesDecorator.scala +++ /dev/null @@ -1,108 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt - -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.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.common.identifier.DecoratorIdentifier -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.product_mixer.core.functional_component.decorator.CandidateDecorator -import com.twitter.product_mixer.core.functional_component.decorator.Decoration -import com.twitter.product_mixer.core.model.common.CandidateWithFeatures -import com.twitter.stitch.Stitch -import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.ModuleIdGeneration -import com.twitter.product_mixer.component_library.decorator.urt.builder.timeline_module.AutomaticUniqueModuleId -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.timeline_module.BaseTimelineModuleBuilder - -/** - * Given a [[CandidateWithFeatures]] return the corresponding group with which it should be - * associated. Returning none will result in the candidate not being assigned to any module. - */ -trait GroupByKey[-Query <: PipelineQuery, -BuilderInput <: UniversalNoun[Any], Key] { - def apply(query: Query, candidate: BuilderInput, candidateFeatures: FeatureMap): Option[Key] -} - -/** - * Similar to [[UrtItemInModuleDecorator]] except that this decorator can assign items to different - * modules based on the provided [[GroupByKey]]. - * - * @param urtItemCandidateDecorator decorates individual item candidates - * @param moduleBuilder builds a module from a particular candidate group - * @param groupByKey assigns each candidate a module group. Returning [[None]] will result in the - * candidate not being assigned to a module - */ -case class UrtMultipleModulesDecorator[ - -Query <: PipelineQuery, - -BuilderInput <: UniversalNoun[Any], - GroupKey -]( - urtItemCandidateDecorator: CandidateDecorator[Query, BuilderInput], - moduleBuilder: BaseTimelineModuleBuilder[Query, BuilderInput], - groupByKey: GroupByKey[Query, BuilderInput, GroupKey], - override val identifier: DecoratorIdentifier = DecoratorIdentifier("UrtMultipleModules")) - extends CandidateDecorator[Query, BuilderInput] { - - override def apply( - query: Query, - candidates: Seq[CandidateWithFeatures[BuilderInput]] - ): Stitch[Seq[Decoration]] = { - if (candidates.nonEmpty) { - - /** Individual candidates with [[UrtItemPresentation]]s */ - val decoratedCandidatesStitch: Stitch[ - Seq[(CandidateWithFeatures[BuilderInput], Decoration)] - ] = urtItemCandidateDecorator(query, candidates).map(candidates.zip(_)) - - decoratedCandidatesStitch.map { decoratedCandidates => - // Group candidates into modules - val candidatesByModule: Map[Option[GroupKey], Seq[ - (CandidateWithFeatures[BuilderInput], Decoration) - ]] = - decoratedCandidates.groupBy { - case (CandidateWithFeatures(candidate, features), _) => - groupByKey(query, candidate, features) - } - - candidatesByModule.iterator.zipWithIndex.flatMap { - - // A None group key indicates these candidates should not be put into a module. Return - // the decorated candidates. - case ((None, candidateGroup), _) => - candidateGroup.map { - case (_, decoration) => decoration - } - - // Build a UrtModulePresentation and add it to each candidate's decoration. - case ((_, candidateGroup), index) => - val (candidatesWithFeatures, decorations) = candidateGroup.unzip - - /** - * Build the module and update its ID if [[AutomaticUniqueModuleId]]s are being used. - * Forcing IDs to be different ensures that modules are never accidentally grouped - * together, since all other fields might otherwise be equal (candidates aren't added - * to modules until the domain marshalling phase). - */ - val timelineModule = { - val module = moduleBuilder(query, candidatesWithFeatures) - - ModuleIdGeneration(module.id) match { - case id: AutomaticUniqueModuleId => module.copy(id = id.withOffset(index).moduleId) - case _ => module - } - } - - val modulePresentation = UrtModulePresentation(timelineModule) - - decorations.collect { - case Decoration(candidate, urtItemPresentation: UrtItemPresentation) => - Decoration( - candidate, - urtItemPresentation.copy(modulePresentation = Some(modulePresentation))) - } - }.toSeq - } - } else { - Stitch.Nil - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/contextual_ref/ContextualTweetRefBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/contextual_ref/ContextualTweetRefBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..d644fa87bba9645f5e2d8abe91b520498a340cac GIT binary patch literal 36892 zcmagEWmp}{wl<1ua1AcO-Q6X)y9W(Ak>D`#;BLX)-QC?oaJL|V;O^gK$=+-4bI!eg znun?}UKyjiy1Hj8$wES5f`Ng-f#IcaX;r8c#3q7+fsMj|fnk6~b;SU7U(D>j7^=D3 zn>pz-y4l(^B+4tU2%~;Iea1>+5+v~yL%}NDwx_nIkHr(OO1tLPUSv9!gSfvP=M7b# zRtkn;j7?9u^(I=W73lP8q|_A?Ki1bz*UTe>Eb_`*%Vj(<=h~HsC6!)~+98}BfT?ay 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/contextual_ref/ContextualTweetRefBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/contextual_ref/ContextualTweetRefBuilder.scala deleted file mode 100644 index 0dd1234fc..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/contextual_ref/ContextualTweetRefBuilder.scala +++ /dev/null @@ -1,12 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.contextual_ref - -import com.twitter.product_mixer.component_library.model.candidate.BaseTweetCandidate -import com.twitter.product_mixer.core.model.marshalling.response.urt.contextual_ref.ContextualTweetRef -import com.twitter.product_mixer.core.model.marshalling.response.urt.contextual_ref.TweetHydrationContext - -case class ContextualTweetRefBuilder[-Candidate <: BaseTweetCandidate]( - tweetHydrationContext: TweetHydrationContext) { - - def apply(candidate: Candidate): Option[ContextualTweetRef] = - Some(ContextualTweetRef(candidate.id, Some(tweetHydrationContext))) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/conversations/ConversationModuleMetadataBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/conversations/ConversationModuleMetadataBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..f99cb8ca3acec5ecbb39aa171fc105fd0b117e15 GIT binary patch literal 37217 zcmagEWmsIvwm*!!dvJGmcL)S`m!Lr#cN!1w0fM``ySs|M<5U5wN{ z9n75#m_6)l8MXIG$U{8bP4I_n z%qWM#Fvn-4-uV)*)(Lg_G*RnGNS+uNWN77+Ll*nwujetJTJY>i#goY{%Ip%&4Z_s4 zWca+B<_2fot?B1C!U#DN&(RG`(tZGop{b13#2^_8fm0P4gAS|CpW(^vpm0!EJsP3e 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com.twitter.product_mixer.component_library.decorator.urt.builder.conversations - -import com.twitter.product_mixer.component_library.model.candidate.BaseTweetCandidate -import com.twitter.product_mixer.core.feature.Feature -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 ConversationModuleMetadataBuilder[ - Query <: PipelineQuery, - Candidate <: BaseTweetCandidate -]( - ancestorIdsFeature: Feature[_, Seq[Long]], - allIdsOrdering: Ordering[Long]) - extends BaseModuleMetadataBuilder[Query, Candidate] { - - override def apply( - query: Query, - candidates: Seq[CandidateWithFeatures[Candidate]] - ): ModuleMetadata = { - - val ancestors = candidates.last.features.getOrElse(ancestorIdsFeature, Seq.empty) - val sortedAllTweetIds = (candidates.last.candidate.id +: ancestors).sorted(allIdsOrdering) - - ModuleMetadata( - adsMetadata = None, - conversationMetadata = Some( - ModuleConversationMetadata( - allTweetIds = Some(sortedAllTweetIds), - socialContext = None, - enableDeduplication = Some(true) - )), - gridCarouselMetadata = None - ) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptCandidateUrtItemBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptCandidateUrtItemBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..8db45f5254c9a67bbaf97e0f90e04c8bb233d207 GIT binary patch literal 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-import com.twitter.onboarding.injections.thriftscala.Injection -import com.twitter.onboarding.injections.{thriftscala => onboardingthrift} -import com.twitter.product_mixer.component_library.decorator.urt.builder.flexible_injection_pipeline.OnboardingInjectionConversions._ -import com.twitter.product_mixer.component_library.model.candidate.BasePromptCandidate -import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.transformer.FlipPromptCarouselTileFeature -import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.transformer.FlipPromptInjectionsFeature -import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.transformer.FlipPromptOffsetInModuleFeature -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.marshaller.TransportMarshaller -import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CoverFullCoverDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CoverHalfCoverDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.FullCover -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.FullCoverContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.HalfCover -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.HalfCoverContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.HeaderImagePromptMessageContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.InlinePromptMessageContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.MessageContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.MessagePromptItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.prompt.PromptItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ClientEventDetails -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ClientEventInfo -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.TimelinesDetails -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object FlipPromptCandidateUrtItemBuilder { - val FlipPromptClientEventInfoElement: String = "flip-prompt-message" -} - -case class FlipPromptCandidateUrtItemBuilder[-Query <: PipelineQuery]() - extends CandidateUrtEntryBuilder[Query, BasePromptCandidate[Any], TimelineItem] { - - override def apply( - query: Query, - promptCandidate: BasePromptCandidate[Any], - candidateFeatures: FeatureMap - ): TimelineItem = { - val injection = candidateFeatures.get(FlipPromptInjectionsFeature) - - injection match { - case onboardingthrift.Injection.InlinePrompt(candidate) => - MessagePromptItem( - id = promptCandidate.id.toString, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = buildClientEventInfo(injection), - feedbackActionInfo = candidate.feedbackInfo.map(convertFeedbackInfo), - isPinned = Some(candidate.isPinnedEntry), - content = getInlinePromptMessageContent(candidate), - impressionCallbacks = candidate.impressionCallbacks.map(_.map(convertCallback).toList) - ) - case onboardingthrift.Injection.FullCover(candidate) => - FullCover( - id = promptCandidate.id.toString, - // Note that sort index is not used for Covers, as they are not TimelineEntry and do not have entryId - sortIndex = None, - clientEventInfo = - Some(OnboardingInjectionConversions.convertClientEventInfo(candidate.clientEventInfo)), - content = getFullCoverContent(candidate) - ) - case onboardingthrift.Injection.HalfCover(candidate) => - HalfCover( - id = promptCandidate.id.toString, - // Note that sort index is not used for Covers, as they are not TimelineEntry and do not have entryId - sortIndex = None, - clientEventInfo = - Some(OnboardingInjectionConversions.convertClientEventInfo(candidate.clientEventInfo)), - content = getHalfCoverContent(candidate) - ) - case Injection.TilesCarousel(_) => - val offsetInModuleOption = - candidateFeatures.get(FlipPromptOffsetInModuleFeature) - val offsetInModule = - offsetInModuleOption.getOrElse(throw FlipPromptOffsetInModuleMissing) - val tileOption = - candidateFeatures.get(FlipPromptCarouselTileFeature) - val tile = tileOption.getOrElse(throw FlipPromptCarouselTileMissing) - TilesCarouselConversions.convertTile(tile, offsetInModule) - case onboardingthrift.Injection.RelevancePrompt(candidate) => - PromptItem( - id = promptCandidate.id.toString, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = buildClientEventInfo(injection), - content = RelevancePromptConversions.convertContent(candidate), - impressionCallbacks = Some(candidate.impressionCallbacks.map(convertCallback).toList) - ) - case _ => throw new UnsupportedFlipPromptException(injection) - } - } - - private def getInlinePromptMessageContent( - candidate: onboardingthrift.InlinePrompt - ): MessageContent = { - candidate.image match { - case Some(image) => - HeaderImagePromptMessageContent( - headerImage = convertImage(image), - headerText = Some(candidate.headerText.text), - bodyText = candidate.bodyText.map(_.text), - primaryButtonAction = candidate.primaryAction.map(convertButtonAction), - secondaryButtonAction = candidate.secondaryAction.map(convertButtonAction), - headerRichText = Some(convertRichText(candidate.headerText)), - bodyRichText = candidate.bodyText.map(convertRichText), - action = - None - ) - case None => - InlinePromptMessageContent( - headerText = candidate.headerText.text, - bodyText = candidate.bodyText.map(_.text), - primaryButtonAction = candidate.primaryAction.map(convertButtonAction), - secondaryButtonAction = candidate.secondaryAction.map(convertButtonAction), - headerRichText = Some(convertRichText(candidate.headerText)), - bodyRichText = candidate.bodyText.map(convertRichText), - socialContext = candidate.socialContext.map(convertSocialContext), - userFacepile = candidate.promptUserFacepile.map(convertUserFacePile) - ) - } - } - - private def getFullCoverContent( - candidate: onboardingthrift.FullCover - ): FullCoverContent = - FullCoverContent( - displayType = CoverFullCoverDisplayType, - primaryText = convertRichText(candidate.primaryText), - primaryCoverCta = convertCoverCta(candidate.primaryButtonAction), - secondaryCoverCta = candidate.secondaryButtonAction.map(convertCoverCta), - secondaryText = candidate.secondaryText.map(convertRichText), - imageVariant = candidate.image.map(img => convertImageVariant(img.image)), - details = candidate.detailText.map(convertRichText), - dismissInfo = candidate.dismissInfo.map(convertDismissInfo), - imageDisplayType = candidate.image.map(img => convertImageDisplayType(img.imageDisplayType)), - impressionCallbacks = candidate.impressionCallbacks.map(_.map(convertCallback).toList) - ) - - private def getHalfCoverContent( - candidate: onboardingthrift.HalfCover - ): HalfCoverContent = - HalfCoverContent( - displayType = - candidate.displayType.map(convertHalfCoverDisplayType).getOrElse(CoverHalfCoverDisplayType), - primaryText = convertRichText(candidate.primaryText), - primaryCoverCta = convertCoverCta(candidate.primaryButtonAction), - secondaryCoverCta = candidate.secondaryButtonAction.map(convertCoverCta), - secondaryText = candidate.secondaryText.map(convertRichText), - coverImage = candidate.image.map(convertCoverImage), - dismissible = candidate.dismissible, - dismissInfo = candidate.dismissInfo.map(convertDismissInfo), - impressionCallbacks = candidate.impressionCallbacks.map(_.map(convertCallback).toList) - ) - - private def buildClientEventInfo( - injection: Injection - ): Option[ClientEventInfo] = { - injection match { - //To keep parity between TimelineMixer and Product Mixer, inline prompt switches sets the prompt product identifier as the component and no element. Also includes clientEventDetails - case onboardingthrift.Injection.InlinePrompt(candidate) => - val clientEventDetails: ClientEventDetails = - ClientEventDetails( - conversationDetails = None, - timelinesDetails = Some(TimelinesDetails(injectionType = Some("Message"), None, None)), - articleDetails = None, - liveEventDetails = None, - commerceDetails = None - ) - Some( - ClientEventInfo( - component = candidate.injectionIdentifier, - element = None, - details = Some(clientEventDetails), - action = None, - entityToken = None)) - // To keep parity between TLM and PM we swap component and elements. - case onboardingthrift.Injection.RelevancePrompt(candidate) => - Some( - ClientEventInfo( - // Identifier is prefixed with onboarding per TLM - component = Some("onboarding_" + candidate.injectionIdentifier), - element = Some("relevance_prompt"), - details = None, - action = None, - entityToken = None - )) - - case _ => None - } - } - -} - -class UnsupportedFlipPromptException(injection: onboardingthrift.Injection) - extends UnsupportedOperationException( - "Unsupported timeline item " + TransportMarshaller.getSimpleName(injection.getClass)) - -object FlipPromptOffsetInModuleMissing - extends NoSuchElementException( - "FlipPromptOffsetInModuleFeature must be set for the TilesCarousel FLIP injection in PromptCandidateSource") - -object FlipPromptCarouselTileMissing - extends NoSuchElementException( - "FlipPromptCarouselTileFeature must be set for the TilesCarousel FLIP injection in PromptCandidateSource") diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptModuleGrouping.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptModuleGrouping.docx new file mode 100644 index 0000000000000000000000000000000000000000..4350ee4620ff1b558f40f92e2e33722c72fdbc09 GIT binary patch literal 37171 zcmagEWmp}_wm*!!dvJGmcL)S`m!Ls6?rc1`TX1)GclQw7EkFXn-Tyl?bIzGL_ulvY z(mYhv`pH_otE#(8Sq>5k3k(bl4h%nyN4rY3C_Wh+3~U?*3=9+0swV-kcQLnjF;e$* zFn2a!_OP>UN>)%>6Gi)c_JWp<(k7>_SmlX1hVv&?cL5Akp}$sevU zs~if$9G{tX=S#d+FVyYROsyv&d17FYsZ~G@S>jW$kGN)e8=Q5oc7WdqBjijxS2r+O`vEM5rYcqwgJd`aPE}|eI;^H(mM5>1!a-g2Xq0A; 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com.twitter.product_mixer.component_library.decorator.urt.builder.flexible_injection_pipeline - -import com.twitter.product_mixer.component_library.decorator.urt.GroupByKey -import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.transformer.FlipPromptInjectionsFeature -import com.twitter.product_mixer.component_library.pipeline.candidate.flexible_injection_pipeline.transformer.FlipPromptOffsetInModuleFeature -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object FlipPromptModuleGrouping extends GroupByKey[PipelineQuery, UniversalNoun[Any], Int] { - override def apply( - query: PipelineQuery, - candidate: UniversalNoun[Any], - candidateFeatures: FeatureMap - ): Option[Int] = { - val injection = candidateFeatures.get(FlipPromptInjectionsFeature) - val offsetInModule = candidateFeatures.getOrElse(FlipPromptOffsetInModuleFeature, None) - - // We return None for any candidate that doesn't have an offsetInModule, so that they are left as independent items. - // Otherwise, we return a hash of the injection instance which will be used to aggregate candidates with matching values into a module. - offsetInModule.map(_ => injection.hashCode()) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptUrtModuleBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/FlipPromptUrtModuleBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..d39365b6d30088a594f453b26842d97dde6815b0 GIT binary patch literal 37609 zcmagFWmsIvwm*!!dvJGmcL?t8L4!6D92yT0+=IKjLvVKs?iM5v-2LB~nRCv}x%a;B 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com.twitter.product_mixer.core.model.marshalling.response.urt.EntryNamespace -import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineModule -import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.Carousel -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -case class FlipPromptUrtModuleBuilder[-Query <: PipelineQuery]( - moduleIdGeneration: ModuleIdGeneration = AutomaticUniqueModuleId()) - extends BaseTimelineModuleBuilder[Query, BasePromptCandidate[Any]] { - - override def apply( - query: Query, - candidates: Seq[CandidateWithFeatures[BasePromptCandidate[Any]]] - ): TimelineModule = { - val firstCandidate = candidates.head - val injection = firstCandidate.features.get(FlipPromptInjectionsFeature) - injection match { - case Injection.TilesCarousel(candidate) => - TimelineModule( - id = moduleIdGeneration.moduleId, - sortIndex = None, - entryNamespace = EntryNamespace("flip-timeline-module"), - clientEventInfo = - Some(OnboardingInjectionConversions.convertClientEventInfo(candidate.clientEventInfo)), - feedbackActionInfo = - candidate.feedbackInfo.map(OnboardingInjectionConversions.convertFeedbackInfo), - isPinned = Some(candidate.isPinnedEntry), - // Items are automatically set in the domain marshaller phase - items = Seq.empty, - displayType = Carousel, - header = candidate.header.map(TilesCarouselConversions.convertModuleHeader), - footer = None, - metadata = None, - showMoreBehavior = None - ) - case _ => throw new UnsupportedFlipPromptInModuleException(injection) - } - } -} - -class UnsupportedFlipPromptInModuleException(injection: onboardingthrift.Injection) - extends UnsupportedOperationException( - "Unsupported timeline item in a Flip prompt module " + TransportMarshaller.getSimpleName( - injection.getClass)) diff --git 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/OnboardingInjectionConversions.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/OnboardingInjectionConversions.scala deleted file mode 100644 index 92c8d97d7..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/OnboardingInjectionConversions.scala +++ /dev/null @@ -1,361 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.flexible_injection_pipeline - -import com.twitter.onboarding.injections.{thriftscala => onboardingthrift} -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CenterCoverHalfCoverDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CoverBehaviorDismiss -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CoverBehaviorNavigate -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CoverCta -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CoverCtaBehavior -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CoverHalfCoverDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.CoverImage -import com.twitter.product_mixer.core.model.marshalling.response.urt.cover.HalfCoverDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.icon._ -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.FollowAllMessageActionType -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.LargeUserFacepileDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.MessageAction -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.MessageActionType -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.MessageImage -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.MessageTextAction -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.UserFacepile -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Bounce -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.ButtonStyle -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.Default -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.Primary -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.Secondary -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.Text -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.Destructive -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.Neutral -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.DestructiveSecondary -import com.twitter.product_mixer.core.model.marshalling.response.urt.button.DestructiveText -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Callback -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ClientEventInfo -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.DeepLink -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Dismiss -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.DismissInfo -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ExternalUrl -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FeedbackAction -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FeedbackActionInfo -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FollowGeneralContextType -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.GeneralContext -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ImageAnimationType -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ImageDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ImageVariant -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FullWidth -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Icon -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.IconSmall -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.SocialContext -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Url -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.UrtEndpoint -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.UrtEndpointOptions -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.Center -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.Natural -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.Plain -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.ReferenceObject -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichText -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextAlignment -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextEntity -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextFormat -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextCashtag -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextHashtag -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextList -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextMention -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextUser -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.Strong - -/*** - * Helper class to convert onboarding thrift to product-mixer models - */ -object OnboardingInjectionConversions { - - def convertFeedbackInfo( - feedbackInfo: onboardingthrift.FeedbackInfo - ): FeedbackActionInfo = { - val actions = feedbackInfo.actions.map { - case onboardingthrift.FeedbackAction.DismissAction(dismissAction) => - FeedbackAction( - Dismiss, - prompt = dismissAction.prompt, - confirmation = dismissAction.confirmation, - hasUndoAction = dismissAction.hasUndoAction, - feedbackUrl = dismissAction.feedbackUrl, - childFeedbackActions = - None, - confirmationDisplayType = None, - clientEventInfo = None, - icon = None, - richBehavior = None, - subprompt = None, - encodedFeedbackRequest = None - ) - case onboardingthrift.FeedbackAction.UnknownUnionField(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - FeedbackActionInfo( - feedbackActions = actions, - feedbackMetadata = None, - displayContext = None, - clientEventInfo = None) - } - - def convertClientEventInfo(input: onboardingthrift.ClientEventInfo): ClientEventInfo = - ClientEventInfo( - component = input.component, - element = input.element, - details = None, - action = input.action, - entityToken = None) - - def convertCallback(callback: onboardingthrift.Callback): Callback = - Callback(callback.endpoint) - - def convertImage(image: onboardingthrift.Image): MessageImage = - MessageImage( - Set(convertImageVariant(image.image)), - backgroundColor = - None - ) - - def convertCoverImage(image: onboardingthrift.Image): CoverImage = - CoverImage( - convertImageVariant(image.image), - imageDisplayType = convertImageDisplayType(image.imageDisplayType), - imageAnimationType = image.imageAnimationType.map(convertImageAnimationType), - ) - - def convertImageDisplayType( - imageDisplayType: onboardingthrift.ImageDisplayType - ): ImageDisplayType = - imageDisplayType match { - case onboardingthrift.ImageDisplayType.Icon => Icon - case onboardingthrift.ImageDisplayType.FullWidth => FullWidth - case onboardingthrift.ImageDisplayType.IconSmall => IconSmall - case onboardingthrift.ImageDisplayType.EnumUnknownImageDisplayType(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - private def convertImageAnimationType( - imageAnimationType: onboardingthrift.ImageAnimationType - ): ImageAnimationType = - imageAnimationType match { - case onboardingthrift.ImageAnimationType.Bounce => Bounce - case onboardingthrift.ImageAnimationType.EnumUnknownImageAnimationType(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - def convertImageVariant(imageVariant: onboardingthrift.ImageVariant): ImageVariant = - ImageVariant( - url = imageVariant.url, - width = imageVariant.width, - height = imageVariant.height, - palette = None) - - def convertButtonAction( - buttonAction: onboardingthrift.ButtonAction - ): MessageTextAction = - MessageTextAction( - buttonAction.text, - MessageAction( - dismissOnClick = buttonAction.dismissOnClick.getOrElse(true), - url = getActionUrl(buttonAction), - clientEventInfo = Some(convertClientEventInfo(buttonAction.clientEventInfo)), - onClickCallbacks = buttonAction.callbacks.map(_.map(convertCallback).toList) - ) - ) - - private def getActionUrl(buttonAction: onboardingthrift.ButtonAction) = - buttonAction.buttonBehavior match { - case onboardingthrift.ButtonBehavior.Navigate(navigate) => Some(navigate.url.url) - case onboardingthrift.ButtonBehavior.Dismiss(_) => None - case onboardingthrift.ButtonBehavior.UnknownUnionField(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - def convertRichText( - richText: com.twitter.onboarding.injections.thriftscala.RichText - ): RichText = { - val entities = richText.entities.map(entity => - RichTextEntity( - entity.fromIndex, - entity.toIndex, - entity.ref.map(convertRef), - entity.format.map(convertFormat))) - RichText( - text = richText.text, - entities = entities.toList, - rtl = richText.rtl, - alignment = richText.alignment.map(convertAlignment)) - } - - private def convertAlignment(alignment: onboardingthrift.RichTextAlignment): RichTextAlignment = - alignment match { - case onboardingthrift.RichTextAlignment.Natural => Natural - case onboardingthrift.RichTextAlignment.Center => Center - case onboardingthrift.RichTextAlignment.EnumUnknownRichTextAlignment(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - private def convertRef(ref: onboardingthrift.ReferenceObject): ReferenceObject = - ref match { - case onboardingthrift.ReferenceObject.User(user) => RichTextUser(user.id) - case onboardingthrift.ReferenceObject.Mention(mention) => - RichTextMention(mention.id, mention.screenName) - case onboardingthrift.ReferenceObject.Hashtag(hashtag) => RichTextHashtag(hashtag.text) - - case onboardingthrift.ReferenceObject.Cashtag(cashtag) => RichTextCashtag(cashtag.text) - case onboardingthrift.ReferenceObject.TwitterList(twList) => - RichTextList(twList.id, twList.url) - case onboardingthrift.ReferenceObject.Url(url) => RichTextHashtag(url.url) - case onboardingthrift.ReferenceObject.UnknownUnionField(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - private def convertFormat(format: onboardingthrift.RichTextFormat): RichTextFormat = - format match { - case onboardingthrift.RichTextFormat.Plain => Plain - case onboardingthrift.RichTextFormat.Strong => Strong - case onboardingthrift.RichTextFormat.EnumUnknownRichTextFormat(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - // Specific to Message prompt - def convertSocialContext(socialContext: onboardingthrift.RichText): SocialContext = - GeneralContext( - contextType = FollowGeneralContextType, - text = socialContext.text, - url = None, - contextImageUrls = None, - landingUrl = None) - - def convertUserFacePile( - userFacepile: onboardingthrift.PromptUserFacepile - ): UserFacepile = - UserFacepile( - userIds = userFacepile.userIds.toList, - featuredUserIds = userFacepile.featuredUserIds.toList, - action = userFacepile.action.map(convertButtonAction), - actionType = userFacepile.actionType.map(convertUserFacePileActionType), - displaysFeaturingText = userFacepile.displaysFeaturingText, - displayType = Some(LargeUserFacepileDisplayType) - ) - - private def convertUserFacePileActionType( - actionType: onboardingthrift.FacepileActionType - ): MessageActionType = - actionType match { - case onboardingthrift.FacepileActionType.FollowAll => FollowAllMessageActionType - case onboardingthrift.FacepileActionType.EnumUnknownFacepileActionType(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - // Specific to Cover - - def convertHalfCoverDisplayType( - displayType: onboardingthrift.HalfCoverDisplayType - ): HalfCoverDisplayType = - displayType match { - case onboardingthrift.HalfCoverDisplayType.Cover => CoverHalfCoverDisplayType - case onboardingthrift.HalfCoverDisplayType.CenterCover => - CenterCoverHalfCoverDisplayType - case onboardingthrift.HalfCoverDisplayType.EnumUnknownHalfCoverDisplayType(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - def convertDismissInfo(dismissInfo: onboardingthrift.DismissInfo): DismissInfo = - DismissInfo(dismissInfo.callbacks.map(_.map(convertCallback))) - - def convertCoverCta( - buttonAction: onboardingthrift.ButtonAction - ): CoverCta = - CoverCta( - buttonAction.text, - ctaBehavior = convertCoverCtaBehavior(buttonAction.buttonBehavior), - callbacks = buttonAction.callbacks.map(_.map(convertCallback).toList), - clientEventInfo = Some(convertClientEventInfo(buttonAction.clientEventInfo)), - icon = buttonAction.icon.map(covertHorizonIcon), - buttonStyle = buttonAction.buttonStyle.map(covertButtonStyle) - ) - - private def convertCoverCtaBehavior( - behavior: onboardingthrift.ButtonBehavior - ): CoverCtaBehavior = - behavior match { - case onboardingthrift.ButtonBehavior.Navigate(navigate) => - CoverBehaviorNavigate(convertUrl(navigate.url)) - case onboardingthrift.ButtonBehavior.Dismiss(dismiss) => - CoverBehaviorDismiss(dismiss.feedbackMessage.map(convertRichText)) - case onboardingthrift.ButtonBehavior.UnknownUnionField(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - private def covertButtonStyle(bStyle: onboardingthrift.CtaButtonStyle): ButtonStyle = - bStyle match { - case onboardingthrift.CtaButtonStyle.Default => Default - case onboardingthrift.CtaButtonStyle.Primary => Primary - case onboardingthrift.CtaButtonStyle.Secondary => Secondary - case onboardingthrift.CtaButtonStyle.Text => Text - case onboardingthrift.CtaButtonStyle.Destructive => Destructive - case onboardingthrift.CtaButtonStyle.Neutral => Neutral - case onboardingthrift.CtaButtonStyle.DestructiveSecondary => DestructiveSecondary - case onboardingthrift.CtaButtonStyle.DestructiveText => DestructiveText - case onboardingthrift.CtaButtonStyle.EnumUnknownCtaButtonStyle(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - - private def covertHorizonIcon(icon: onboardingthrift.HorizonIcon): HorizonIcon = - icon match { - case onboardingthrift.HorizonIcon.Bookmark => Bookmark - case onboardingthrift.HorizonIcon.Moment => Moment - case onboardingthrift.HorizonIcon.Debug => Debug - case onboardingthrift.HorizonIcon.Error => Error - case onboardingthrift.HorizonIcon.Follow => Follow - case onboardingthrift.HorizonIcon.Unfollow => Unfollow - case onboardingthrift.HorizonIcon.Smile => Smile - case onboardingthrift.HorizonIcon.Frown => Frown - case onboardingthrift.HorizonIcon.Help => Help - case onboardingthrift.HorizonIcon.Link => Link - case onboardingthrift.HorizonIcon.Message => Message - case onboardingthrift.HorizonIcon.No => No - case onboardingthrift.HorizonIcon.Outgoing => Outgoing - case onboardingthrift.HorizonIcon.Pin => Pin - case onboardingthrift.HorizonIcon.Retweet => Retweet - case onboardingthrift.HorizonIcon.Speaker => Speaker - case onboardingthrift.HorizonIcon.Trashcan => Trashcan - case onboardingthrift.HorizonIcon.Feedback => Feedback - case onboardingthrift.HorizonIcon.FeedbackClose => FeedbackClose - case onboardingthrift.HorizonIcon.EyeOff => EyeOff - case onboardingthrift.HorizonIcon.Moderation => Moderation - case onboardingthrift.HorizonIcon.Topic => Topic - case onboardingthrift.HorizonIcon.TopicClose => TopicClose - case onboardingthrift.HorizonIcon.Flag => Flag - case onboardingthrift.HorizonIcon.TopicFilled => TopicFilled - case onboardingthrift.HorizonIcon.NotificationsFollow => NotificationsFollow - case onboardingthrift.HorizonIcon.Person => Person - case onboardingthrift.HorizonIcon.Logo => Logo - case onboardingthrift.HorizonIcon.EnumUnknownHorizonIcon(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - - } - - def convertUrl(url: onboardingthrift.Url): Url = { - val urlType = url.urlType match { - case onboardingthrift.UrlType.ExternalUrl => ExternalUrl - case onboardingthrift.UrlType.DeepLink => DeepLink - case onboardingthrift.UrlType.UrtEndpoint => UrtEndpoint - case onboardingthrift.UrlType.EnumUnknownUrlType(value) => - throw new UnsupportedOperationException(s"Unknown product: $value") - } - Url(urlType, url.url, url.urtEndpointOptions.map(convertUrtEndpointOptions)) - } - - private def convertUrtEndpointOptions( - urtEndpointOptions: onboardingthrift.UrtEndpointOptions - ): UrtEndpointOptions = - UrtEndpointOptions( - requestParams = urtEndpointOptions.requestParams.map(_.toMap), - title = urtEndpointOptions.title, - cacheId = urtEndpointOptions.cacheId, - subtitle = urtEndpointOptions.subtitle - ) - -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/RelevancePromptConversions.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/RelevancePromptConversions.docx new file mode 100644 index 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onboardingthrift} -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.prompt.Compact -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.prompt.Large -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.prompt.Normal -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.prompt.RelevancePromptContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.prompt.RelevancePromptDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Callback - -/*** - * Helper class to convert Relevance Prompt related onboarding thrift to product-mixer models - */ -object RelevancePromptConversions { - def convertContent( - candidate: onboardingthrift.RelevancePrompt - ): RelevancePromptContent = - RelevancePromptContent( - displayType = convertDisplayType(candidate.displayType), - title = candidate.title.text, - confirmation = buildConfirmation(candidate), - isRelevantText = candidate.isRelevantButton.text, - notRelevantText = candidate.notRelevantButton.text, - isRelevantCallback = convertCallbacks(candidate.isRelevantButton.callbacks), - notRelevantCallback = convertCallbacks(candidate.notRelevantButton.callbacks), - isRelevantFollowUp = None, - notRelevantFollowUp = None - ) - - // Based on com.twitter.timelinemixer.injection.model.candidate.OnboardingRelevancePromptDisplayType#fromThrift - def convertDisplayType( - displayType: onboardingthrift.RelevancePromptDisplayType - ): RelevancePromptDisplayType = - displayType match { - case onboardingthrift.RelevancePromptDisplayType.Normal => Normal - case onboardingthrift.RelevancePromptDisplayType.Compact => Compact - case onboardingthrift.RelevancePromptDisplayType.Large => Large - case onboardingthrift.RelevancePromptDisplayType - .EnumUnknownRelevancePromptDisplayType(value) => - throw new UnsupportedOperationException(s"Unknown display type: $value") - } - - // Based on com.twitter.timelinemixer.injection.model.injection.OnboardingRelevancePromptInjection#buildConfirmation - def buildConfirmation(candidate: onboardingthrift.RelevancePrompt): String = { - val isRelevantTextConfirmation = - buttonToDismissFeedbackText(candidate.isRelevantButton).getOrElse("") - val notRelevantTextConfirmation = - buttonToDismissFeedbackText(candidate.notRelevantButton).getOrElse("") - if (isRelevantTextConfirmation != notRelevantTextConfirmation) - throw new IllegalArgumentException( - s"""confirmation text not consistent for two buttons, : - isRelevantConfirmation: ${isRelevantTextConfirmation} - notRelevantConfirmation: ${notRelevantTextConfirmation} - """ - ) - isRelevantTextConfirmation - } - - // Based on com.twitter.timelinemixer.injection.model.candidate.OnboardingInjectionAction#fromThrift - def buttonToDismissFeedbackText(button: onboardingthrift.ButtonAction): Option[String] = { - button.buttonBehavior match { - case onboardingthrift.ButtonBehavior.Dismiss(d) => d.feedbackMessage.map(_.text) - case _ => None - } - } - - // Based on com.twitter.timelinemixer.injection.model.injection.OnboardingRelevancePromptInjection#buildCallback - def convertCallbacks(onboardingCallbacks: Option[Seq[onboardingthrift.Callback]]): Callback = { - OnboardingInjectionConversions.convertCallback( - onboardingCallbacks - .flatMap(_.headOption) - .getOrElse( - throw new NoSuchElementException(s"Callback must be provided for the Relevance Prompt") - )) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/TilesCarouselConversions.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/flexible_injection_pipeline/TilesCarouselConversions.docx new file mode 100644 index 0000000000000000000000000000000000000000..f699a8c416e230cd3565c06f8024efa6ff568a04 GIT binary patch literal 38140 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com.twitter.product_mixer.component_library.decorator.urt.builder.flexible_injection_pipeline - -import com.twitter.onboarding.injections.{thriftscala => onboardingthrift} -import com.twitter.product_mixer.component_library.decorator.urt.builder.flexible_injection_pipeline.OnboardingInjectionConversions.convertImageVariant -import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.Classic -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.BlackRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.ClearRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.DeepBlueRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.DeepGrayRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.DeepGreenRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.DeepOrangeRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.DeepPurpleRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.DeepRedRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.DeepYellowRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FadedBlueRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FadedGrayRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FadedGreenRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FadedOrangeRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FadedPurpleRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FadedRedRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FadedYellowRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FaintBlueRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.FaintGrayRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.LightBlueRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.LightGrayRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.LightGreenRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.LightOrangeRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.LightPurpleRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.LightRedRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.LightYellowRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.MediumGrayRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.MediumGreenRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.MediumOrangeRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.MediumPurpleRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.MediumRedRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.MediumYellowRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.RosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.TextBlackRosettaColor -import com.twitter.product_mixer.core.model.marshalling.response.urt.color.TextBlueRosettaColor -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.model.marshalling.response.urt.item.tile.CallToActionTileContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tile.StandardTileContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tile.TileItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Badge -import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.ModuleHeader - -object TilesCarouselConversions { - // Tiles Carousel Conversions - def convertTile(tile: onboardingthrift.Tile, id: Long): TileItem = { - tile.content match { - case standard: onboardingthrift.TileContent.Standard => - TileItem( - id = id, - sortIndex = None, - clientEventInfo = - Some(OnboardingInjectionConversions.convertClientEventInfo(tile.clientEventInfo)), - feedbackActionInfo = None, - title = standard.standard.title, - supportingText = "", - url = tile.url.map(OnboardingInjectionConversions.convertUrl), - image = tile.image.map(img => convertImageVariant(img.image)), - content = StandardTileContent( - title = standard.standard.title, - supportingText = "", - badge = standard.standard.badge.map(convertTileBadge) - ) - ) - case cta: onboardingthrift.TileContent.CallToAction => - TileItem( - id = id, - sortIndex = None, - clientEventInfo = - Some(OnboardingInjectionConversions.convertClientEventInfo(tile.clientEventInfo)), - feedbackActionInfo = None, - title = cta.callToAction.text, - supportingText = "", - url = tile.url.map(OnboardingInjectionConversions.convertUrl), - image = None, - content = CallToActionTileContent( - text = cta.callToAction.text, - richText = None, - ctaButton = None - ) - ) - case _ => - throw new UnsupportedTileCarouselConversionException(s"Tile Content: ${tile.content}") - } - } - - private def convertTileBadge(badge: onboardingthrift.Badge): Badge = { - Badge( - text = badge.text, - textColorName = badge.textColor.map(convertRosettaColor), - backgroundColorName = badge.backgroundColor.map(convertRosettaColor)) - } - - def convertModuleHeader(header: onboardingthrift.TilesCarouselHeader): ModuleHeader = { - ModuleHeader(header.header, None, None, None, None, Classic) - } - - private def convertRosettaColor(color: onboardingthrift.RosettaColor): RosettaColor = - color match { - case onboardingthrift.RosettaColor.White => WhiteRosettaColor - case onboardingthrift.RosettaColor.Black => BlackRosettaColor - case onboardingthrift.RosettaColor.Clear => ClearRosettaColor - case onboardingthrift.RosettaColor.TextBlack => TextBlackRosettaColor - case onboardingthrift.RosettaColor.TextBlue => TextBlueRosettaColor - - case onboardingthrift.RosettaColor.DeepGray => DeepGrayRosettaColor - case onboardingthrift.RosettaColor.MediumGray => MediumGrayRosettaColor - case onboardingthrift.RosettaColor.LightGray => LightGrayRosettaColor - case onboardingthrift.RosettaColor.FadedGray => FadedGrayRosettaColor - case onboardingthrift.RosettaColor.FaintGray => FaintGrayRosettaColor - - case onboardingthrift.RosettaColor.DeepOrange => DeepOrangeRosettaColor - case onboardingthrift.RosettaColor.MediumOrange => MediumOrangeRosettaColor - case onboardingthrift.RosettaColor.LightOrange => LightOrangeRosettaColor - case onboardingthrift.RosettaColor.FadedOrange => FadedOrangeRosettaColor - - case onboardingthrift.RosettaColor.DeepYellow => DeepYellowRosettaColor - case onboardingthrift.RosettaColor.MediumYellow => MediumYellowRosettaColor - case onboardingthrift.RosettaColor.LightYellow => LightYellowRosettaColor - case onboardingthrift.RosettaColor.FadedYellow => FadedYellowRosettaColor - - case onboardingthrift.RosettaColor.DeepGreen => DeepGreenRosettaColor - case onboardingthrift.RosettaColor.MediumGreen => MediumGreenRosettaColor - case onboardingthrift.RosettaColor.LightGreen => LightGreenRosettaColor - case onboardingthrift.RosettaColor.FadedGreen => FadedGreenRosettaColor - - case onboardingthrift.RosettaColor.DeepBlue => DeepBlueRosettaColor - case onboardingthrift.RosettaColor.TwitterBlue => TwitterBlueRosettaColor - case onboardingthrift.RosettaColor.LightBlue => LightBlueRosettaColor - case onboardingthrift.RosettaColor.FadedBlue => FadedBlueRosettaColor - case onboardingthrift.RosettaColor.FaintBlue => FaintBlueRosettaColor - - case onboardingthrift.RosettaColor.DeepPurple => DeepPurpleRosettaColor - case onboardingthrift.RosettaColor.MediumPurple => MediumPurpleRosettaColor - case onboardingthrift.RosettaColor.LightPurple => LightPurpleRosettaColor - case onboardingthrift.RosettaColor.FadedPurple => FadedPurpleRosettaColor - - case onboardingthrift.RosettaColor.DeepRed => DeepRedRosettaColor - case onboardingthrift.RosettaColor.MediumRed => MediumRedRosettaColor - case onboardingthrift.RosettaColor.LightRed => LightRedRosettaColor - case onboardingthrift.RosettaColor.FadedRed => FadedRedRosettaColor - case onboardingthrift.RosettaColor.EnumUnknownRosettaColor(i) => - throw new UnknownThriftEnumException("RosettaColor") - } - class UnknownThriftEnumException(enumName: String) - extends Exception(s"Unknown Thrift Enum Found: ${enumName}") - - class UnsupportedTileCarouselConversionException(UnsupportedTileType: String) - extends Exception(s"Unsupported Tile Type Found: ${UnsupportedTileType}") -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/icon/HorizonIconBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/icon/HorizonIconBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..9b06f3fee2cb53d155b981ea8b7c1ccb15c0608c GIT binary patch literal 36972 zcmagFWmp{9wm*!!dvJGmcL)&N9fAgJBser4AUFhfcXxNU5Zqk?!QKCznK|dooO|#4 zekmUIUh5}oRqfhcU9J295(*0p3=9qoKZQrTLbV_^0UQi$6b1|o6EvzP0kHpUZvWXx z-NV7$*?`&I&bA>zL1{%4?aSEVNE?1Ib=(d+lQkgG{%+#70Hfad0{=CUy#^)N+UySSH`kiZBCm8CSEHxZ! 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com.twitter.product_mixer.core.model.common.CandidateWithFeatures -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.marshalling.response.urt.icon.HorizonIcon -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -case class HorizonIconBuilder[-Query <: PipelineQuery, -Candidate <: UniversalNoun[Any]]( - icon: HorizonIcon) - extends BaseHorizonIconBuilder[Query, Candidate] { - - override def apply( - query: Query, - candidates: Seq[CandidateWithFeatures[Candidate]] - ): Option[HorizonIcon] = Some(icon) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/ad/AdsCandidateUrtItemBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/ad/AdsCandidateUrtItemBuilder.docx new file mode 100644 index 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/ad/AdsCandidateUrtItemBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/ad/AdsCandidateUrtItemBuilder.scala deleted file mode 100644 index 1593485fc..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/ad/AdsCandidateUrtItemBuilder.scala +++ /dev/null @@ -1,274 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.ad - -import com.twitter.ads.adserver.{thriftscala => ads} -import com.twitter.adserver.{thriftscala => adserver} -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.TweetClientEventInfoElement -import com.twitter.product_mixer.component_library.model.candidate.ads.AdsCandidate -import com.twitter.product_mixer.component_library.model.candidate.ads.AdsTweetCandidate -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.Tweet -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.AdMetadataContainer -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.Amplify -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.CallToAction -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.ClickTrackingInfo -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.DcmUrlOverrideType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.DirectSponsorshipType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.DisclaimerIssue -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.DisclaimerPolitical -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.DisclaimerType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.DisclosureType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.DynamicPrerollType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.Earned -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.IndirectSponsorshipType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.Issue -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.LiveTvEvent -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.Marketplace -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.MediaInfo -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.NoDisclosure -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.NoSponsorshipSponsorshipType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.Political -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.Preroll -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.PrerollMetadata -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.PromotedMetadata -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.SkAdNetworkData -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.SponsorshipType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.UnknownUrlOverrideType -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.VideoVariant -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.timelines.util.AdMetadataContainerSerializer -import com.twitter.timelines.util.PrerollMetadataSerializer - -/** - * [[AdsCandidateUrtItemBuilder]] takes a [[AdsCandidate]] (with a [[Query]] as additional context) - * and converts it into the Product Mixer URT representation, or throws an error. - * - * Currently, the only supported form for URT representation of the [[AdsCandidate]] is a [[Tweet]], - * but in the future it could be expanded to handle other forms of ads. - * - * @param tweetClientEventInfoBuilder Optionally, provide a ClientEventInfoBuilder for Tweets - * that given an AdsTweetCandidate and element of "tweet". - * @param tweetDisplayType Should be [[EmphasizedPromotedTweet]] on Profile timelines, - * otherwise [[Tweet]] - */ -case class AdsCandidateUrtItemBuilder[Query <: PipelineQuery]( - tweetClientEventInfoBuilder: Option[BaseClientEventInfoBuilder[Query, AdsTweetCandidate]] = None, - contextualTweetRefBuilder: Option[ContextualTweetRefBuilder[AdsTweetCandidate]] = None, - tweetDisplayType: TweetDisplayType = Tweet) - extends CandidateUrtEntryBuilder[Query, AdsCandidate, TimelineItem] { - - override def apply( - pipelineQuery: Query, - candidate: AdsCandidate, - candidateFeatures: FeatureMap - ): TimelineItem = { - candidate match { - case tweetCandidate: AdsTweetCandidate => - TweetItem( - id = tweetCandidate.id, - entryNamespace = TweetItem.PromotedTweetEntryNamespace, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = tweetClientEventInfoBuilder.flatMap( - _.apply( - pipelineQuery, - tweetCandidate, - candidateFeatures, - Some(TweetClientEventInfoElement))), - feedbackActionInfo = None, - isPinned = None, - entryIdToReplace = None, - socialContext = None, - highlights = None, - innerTombstoneInfo = None, - timelinesScoreInfo = None, - hasModeratedReplies = None, - forwardPivot = None, - innerForwardPivot = None, - conversationAnnotation = None, - promotedMetadata = Some(promotedMetadata(tweetCandidate.adImpression)), - displayType = tweetDisplayType, - contextualTweetRef = contextualTweetRefBuilder.flatMap(_.apply(tweetCandidate)), - prerollMetadata = prerollMetadata(tweetCandidate.adImpression), - replyBadge = None, - destination = None - ) - } - } - - private def promotedMetadata(impression: adserver.AdImpression) = { - PromotedMetadata( - advertiserId = impression.advertiserId, - impressionString = impression.impressionString, - disclosureType = impression.disclosureType.map(convertDisclosureType), - experimentValues = impression.experimentValues.map(_.toMap), - promotedTrendId = impression.promotedTrendId.map(_.toLong), - promotedTrendName = impression.promotedTrendName, - promotedTrendQueryTerm = impression.promotedTrendQueryTerm, - promotedTrendDescription = impression.promotedTrendDescription, - clickTrackingInfo = impression.clickTrackingInfo.map(convertClickTrackingInfo), - adMetadataContainer = adMetadataContainer(impression) - ) - } - - private def convertDisclosureType( - disclosureType: adserver.DisclosureType - ): DisclosureType = disclosureType match { - case adserver.DisclosureType.None => NoDisclosure - case adserver.DisclosureType.Political => Political - case adserver.DisclosureType.Earned => Earned - case adserver.DisclosureType.Issue => Issue - case _ => throw new UnsupportedDisclosureTypeException(disclosureType) - } - - private def convertClickTrackingInfo( - clickTracking: adserver.ClickTrackingInfo - ): ClickTrackingInfo = ClickTrackingInfo( - urlParams = clickTracking.urlParams.getOrElse(Map.empty), - urlOverride = clickTracking.urlOverride, - urlOverrideType = clickTracking.urlOverrideType.map { - case adserver.UrlOverrideType.Unknown => UnknownUrlOverrideType - case adserver.UrlOverrideType.Dcm => DcmUrlOverrideType - case _ => throw new UnsupportedClickTrackingInfoException(clickTracking) - } - ) - - private def prerollMetadata(adImpression: adserver.AdImpression): Option[PrerollMetadata] = { - adImpression.serializedPrerollMetadata - .flatMap(PrerollMetadataSerializer.deserialize).map { metadata => - PrerollMetadata( - metadata.preroll.map(convertPreroll), - metadata.videoAnalyticsScribePassthrough - ) - } - } - - private def adMetadataContainer( - adImpression: adserver.AdImpression - ): Option[AdMetadataContainer] = { - adImpression.serializedAdMetadataContainer - .flatMap(AdMetadataContainerSerializer.deserialize).map { container => - AdMetadataContainer( - removePromotedAttributionForPreroll = container.removePromotedAttributionForPreroll, - sponsorshipCandidate = container.sponsorshipCandidate, - sponsorshipOrganization = container.sponsorshipOrganization, - sponsorshipOrganizationWebsite = container.sponsorshipOrganizationWebsite, - sponsorshipType = container.sponsorshipType.map(convertSponsorshipType), - disclaimerType = container.disclaimerType.map(convertDisclaimerType), - skAdNetworkDataList = container.skAdNetworkDataList.map(convertSkAdNetworkDataList), - unifiedCardOverride = container.unifiedCardOverride - ) - } - } - - private def convertSponsorshipType( - sponsorshipType: ads.SponsorshipType - ): SponsorshipType = sponsorshipType match { - case ads.SponsorshipType.Direct => DirectSponsorshipType - case ads.SponsorshipType.Indirect => IndirectSponsorshipType - case ads.SponsorshipType.NoSponsorship => NoSponsorshipSponsorshipType - // Thrift has extras (e.g. Sponsorship4) that are not used in practice - case _ => throw new UnsupportedSponsorshipTypeException(sponsorshipType) - } - - private def convertDisclaimerType( - disclaimerType: ads.DisclaimerType - ): DisclaimerType = disclaimerType match { - case ads.DisclaimerType.Political => DisclaimerPolitical - case ads.DisclaimerType.Issue => DisclaimerIssue - case _ => throw new UnsupportedDisclaimerTypeException(disclaimerType) - } - - private def convertDynamicPrerollType( - dynamicPrerollType: ads.DynamicPrerollType - ): DynamicPrerollType = - dynamicPrerollType match { - case ads.DynamicPrerollType.Amplify => Amplify - case ads.DynamicPrerollType.Marketplace => Marketplace - case ads.DynamicPrerollType.LiveTvEvent => LiveTvEvent - case _ => throw new UnsupportedDynamicPrerollTypeException(dynamicPrerollType) - } - - private def convertMediaInfo(mediaInfo: ads.MediaInfo): MediaInfo = { - MediaInfo( - uuid = mediaInfo.uuid, - publisherId = mediaInfo.publisherId, - callToAction = mediaInfo.callToAction.map(convertCallToAction), - durationMillis = mediaInfo.durationMillis, - videoVariants = mediaInfo.videoVariants.map(convertVideoVariants), - advertiserName = mediaInfo.advertiserName, - renderAdByAdvertiserName = mediaInfo.renderAdByAdvertiserName, - advertiserProfileImageUrl = mediaInfo.advertiserProfileImageUrl - ) - } - - private def convertVideoVariants(videoVariants: Seq[ads.VideoVariant]): Seq[VideoVariant] = { - videoVariants.map(videoVariant => - VideoVariant( - url = videoVariant.url, - contentType = videoVariant.contentType, - bitrate = videoVariant.bitrate - )) - } - - private def convertCallToAction(callToAction: ads.CallToAction): CallToAction = { - CallToAction( - callToActionType = callToAction.callToActionType, - url = callToAction.url - ) - } - - private def convertPreroll( - preroll: ads.Preroll - ): Preroll = { - Preroll( - preroll.prerollId, - preroll.dynamicPrerollType.map(convertDynamicPrerollType), - preroll.mediaInfo.map(convertMediaInfo) - ) - } - - private def convertSkAdNetworkDataList( - skAdNetworkDataList: Seq[ads.SkAdNetworkData] - ): Seq[SkAdNetworkData] = skAdNetworkDataList.map(sdAdNetwork => - SkAdNetworkData( - version = sdAdNetwork.version, - srcAppId = sdAdNetwork.srcAppId, - dstAppId = sdAdNetwork.dstAppId, - adNetworkId = sdAdNetwork.adNetworkId, - campaignId = sdAdNetwork.campaignId, - impressionTimeInMillis = sdAdNetwork.impressionTimeInMillis, - nonce = sdAdNetwork.nonce, - signature = sdAdNetwork.signature, - fidelityType = sdAdNetwork.fidelityType - )) -} - -class UnsupportedClickTrackingInfoException(clickTrackingInfo: adserver.ClickTrackingInfo) - extends UnsupportedOperationException( - s"Unsupported ClickTrackingInfo: $clickTrackingInfo" - ) - -class UnsupportedDisclaimerTypeException(disclaimerType: ads.DisclaimerType) - extends UnsupportedOperationException( - s"Unsupported DisclaimerType: $disclaimerType" - ) - -class UnsupportedDisclosureTypeException(disclosureType: adserver.DisclosureType) - extends UnsupportedOperationException( - s"Unsupported DisclosureType: $disclosureType" - ) - -class UnsupportedDynamicPrerollTypeException(dynamicPrerollType: ads.DynamicPrerollType) - extends UnsupportedOperationException( - s"Unsupported DynamicPrerollType: $dynamicPrerollType" - ) - -class UnsupportedSponsorshipTypeException(sponsorshipType: ads.SponsorshipType) - extends UnsupportedOperationException( - s"Unsupported SponsorshipType: $sponsorshipType" - ) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/DurationParamBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/DurationParamBuilder.docx new file mode 100644 index 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/DurationParamBuilder.scala deleted file mode 100644 index 0a4e76319..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/DurationParamBuilder.scala +++ /dev/null @@ -1,20 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.alert - -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.decorator.urt.builder.item.alert.BaseDurationBuilder -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.timelines.configapi.Param -import com.twitter.util.Duration - -case class DurationParamBuilder( - durationParam: Param[Duration]) - extends 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/ShowAlertCandidateUrtItemBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/ShowAlertCandidateUrtItemBuilder.scala deleted file mode 100644 index d2028181c..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/ShowAlertCandidateUrtItemBuilder.scala +++ /dev/null @@ -1,61 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.alert - -import com.twitter.product_mixer.component_library.decorator.urt.builder.item.alert.ShowAlertCandidateUrtItemBuilder.ShowAlertClientEventInfoElement -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.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.alert.BaseDurationBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.alert.BaseShowAlertColorConfigurationBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.alert.BaseShowAlertDisplayLocationBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.alert.BaseShowAlertIconDisplayInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.alert.BaseShowAlertNavigationMetadataBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.alert.BaseShowAlertUserIdsBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.ShowAlert -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.richtext.BaseRichTextBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.alert.ShowAlertType - -object ShowAlertCandidateUrtItemBuilder { - val ShowAlertClientEventInfoElement: String = "showAlert" -} - -case class ShowAlertCandidateUrtItemBuilder[-Query <: PipelineQuery]( - alertType: ShowAlertType, - displayLocationBuilder: BaseShowAlertDisplayLocationBuilder[Query], - colorConfigBuilder: BaseShowAlertColorConfigurationBuilder[Query], - triggerDelayBuilder: Option[BaseDurationBuilder[Query]] = None, - displayDurationBuilder: Option[BaseDurationBuilder[Query]] = None, - clientEventInfoBuilder: Option[BaseClientEventInfoBuilder[Query, ShowAlertCandidate]] = None, - collapseDelayBuilder: Option[BaseDurationBuilder[Query]] = None, - userIdsBuilder: Option[BaseShowAlertUserIdsBuilder[Query]] = None, - richTextBuilder: Option[BaseRichTextBuilder[Query, ShowAlertCandidate]] = None, - iconDisplayInfoBuilder: Option[BaseShowAlertIconDisplayInfoBuilder[Query]] = None, - navigationMetadataBuilder: Option[BaseShowAlertNavigationMetadataBuilder[Query]] = None) - extends CandidateUrtEntryBuilder[ - Query, - ShowAlertCandidate, - ShowAlert - ] { - - override def apply( - query: Query, - candidate: ShowAlertCandidate, - features: FeatureMap, - ): ShowAlert = ShowAlert( - id = candidate.id, - sortIndex = None, - alertType = alertType, - triggerDelay = triggerDelayBuilder.flatMap(_.apply(query, candidate, features)), - displayDuration = displayDurationBuilder.flatMap(_.apply(query, candidate, features)), - clientEventInfo = clientEventInfoBuilder.flatMap( - _.apply(query, candidate, features, Some(ShowAlertClientEventInfoElement))), - collapseDelay = collapseDelayBuilder.flatMap(_.apply(query, candidate, features)), - userIds = userIdsBuilder.flatMap(_.apply(query, candidate, features)), - richText = richTextBuilder.map(_.apply(query, candidate, features)), - iconDisplayInfo = iconDisplayInfoBuilder.flatMap(_.apply(query, candidate, features)), - displayLocation = displayLocationBuilder(query, candidate, features), - colorConfig = colorConfigBuilder(query, candidate, features), - navigationMetadata = navigationMetadataBuilder.flatMap(_.apply(query, candidate, features)), - ) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/StaticShowAlertColorConfigurationBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/alert/StaticShowAlertColorConfigurationBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..768c4c06bb092e291fe10d2ae73c31fa4483c21f GIT binary patch literal 36956 zcmagEWmp{9wm*!!dvJGmcL*f7yGzhUf 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com.twitter.product_mixer.component_library.decorator.urt.builder.item.audio_space.AudioSpaceCandidateUrtItemBuilder.AudioSpaceClientEventInfoElement -import com.twitter.product_mixer.component_library.model.candidate.AudioSpaceCandidate -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.audio_space.AudioSpaceItem -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object AudioSpaceCandidateUrtItemBuilder { - val AudioSpaceClientEventInfoElement: String = "audiospace" -} - -case class AudioSpaceCandidateUrtItemBuilder[-Query <: PipelineQuery]( - clientEventInfoBuilder: BaseClientEventInfoBuilder[Query, UniversalNoun[Any]], - feedbackActionInfoBuilder: Option[ - BaseFeedbackActionInfoBuilder[Query, UniversalNoun[Any]] - ] = None) - extends CandidateUrtEntryBuilder[Query, AudioSpaceCandidate, AudioSpaceItem] { - - override def apply( - query: Query, - audioSpaceCandidate: AudioSpaceCandidate, - candidateFeatures: FeatureMap - ): AudioSpaceItem = AudioSpaceItem( - id = audioSpaceCandidate.id, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = clientEventInfoBuilder( - query, - audioSpaceCandidate, - candidateFeatures, - Some(AudioSpaceClientEventInfoElement)), - feedbackActionInfo = - feedbackActionInfoBuilder.flatMap(_.apply(query, audioSpaceCandidate, candidateFeatures)) - ) -} diff --git 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zx(EYap%{Rz+ly`%dfyRY*5f90#~^x==%%1|wGgKKYKDdiO2-RbKYDu*p?_*SQWisP X9R_%_0&@^3R|zsC0<%YZFNg;K78J;& literal 0 HcmV?d00001 diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/event_summary/EventCandidateUrtItemBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/event_summary/EventCandidateUrtItemBuilder.scala deleted file mode 100644 index 27d7f1e19..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/event_summary/EventCandidateUrtItemBuilder.scala +++ /dev/null @@ -1,51 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.event_summary - -import com.twitter.product_mixer.component_library.decorator.urt.builder.item.event_summary.EventCandidateUrtItemBuilder.EventClientEventInfoElement -import com.twitter.product_mixer.component_library.model.candidate.trends_events.EventDisplayType -import com.twitter.product_mixer.component_library.model.candidate.trends_events.EventImage -import com.twitter.product_mixer.component_library.model.candidate.trends_events.EventTimeString -import com.twitter.product_mixer.component_library.model.candidate.trends_events.EventTitleFeature -import com.twitter.product_mixer.component_library.model.candidate.trends_events.EventUrl -import com.twitter.product_mixer.component_library.model.candidate.trends_events.UnifiedEventCandidate -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.event.EventSummaryItem -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object EventCandidateUrtItemBuilder { - val EventClientEventInfoElement = "event" -} - -case class EventCandidateUrtItemBuilder[Query <: PipelineQuery]( - clientEventInfoBuilder: BaseClientEventInfoBuilder[Query, UnifiedEventCandidate], - feedbackActionInfoBuilder: Option[BaseFeedbackActionInfoBuilder[Query, UnifiedEventCandidate]] = - None) - extends CandidateUrtEntryBuilder[Query, UnifiedEventCandidate, TimelineItem] { - - override def apply( - query: Query, - candidate: UnifiedEventCandidate, - candidateFeatures: FeatureMap - ): TimelineItem = { - EventSummaryItem( - id = candidate.id, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = clientEventInfoBuilder( - query = query, - candidate = candidate, - candidateFeatures = candidateFeatures, - element = Some(EventClientEventInfoElement) - ), - feedbackActionInfo = - feedbackActionInfoBuilder.flatMap(_.apply(query, candidate, candidateFeatures)), - title = candidateFeatures.get(EventTitleFeature), - displayType = candidateFeatures.get(EventDisplayType), - url = candidateFeatures.get(EventUrl), - image = candidateFeatures.getOrElse(EventImage, None), - timeString = candidateFeatures.getOrElse(EventTimeString, None) - ) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/generic_summary/GenericSummaryActionBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/generic_summary/GenericSummaryActionBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..033b524619d30aae42076a81e4fb26862860426f GIT binary patch literal 37131 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/generic_summary/GenericSummaryActionBuilder.scala deleted file mode 100644 index 8cdbb065d..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/generic_summary/GenericSummaryActionBuilder.scala +++ /dev/null @@ -1,32 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.generic_summary - -import com.twitter.product_mixer.component_library.decorator.urt.builder.item.generic_summary.GenericSummaryActionBuilder.GenericSummaryActionClientEventInfoElement -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseUrlBuilder -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.generic_summary.GenericSummaryAction -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object GenericSummaryActionBuilder { - val GenericSummaryActionClientEventInfoElement: String = "genericsummary-action" -} - -case class GenericSummaryActionBuilder[-Query <: PipelineQuery, -Candidate <: UniversalNoun[Any]]( - urlBuilder: BaseUrlBuilder[Query, Candidate], - clientEventInfoBuilder: Option[BaseClientEventInfoBuilder[Query, Candidate]] = None) { - - def apply( - query: Query, - candidate: Candidate, - candidateFeatures: FeatureMap - ): GenericSummaryAction = GenericSummaryAction( - url = urlBuilder.apply(query, candidate, candidateFeatures), - clientEventInfo = clientEventInfoBuilder.flatMap( - _.apply( - query, - candidate, - candidateFeatures, - Some(GenericSummaryActionClientEventInfoElement))) - ) -} diff --git 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com.twitter.product_mixer.component_library.decorator.urt.builder.item.generic_summary - -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.richtext.BaseRichTextBuilder -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.marshalling.response.urt.icon.HorizonIcon -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.generic_summary.GenericSummaryContext -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -case class GenericSummaryContextBuilder[-Query <: PipelineQuery, -Candidate <: UniversalNoun[Any]]( - richTextBuilder: BaseRichTextBuilder[Query, Candidate], - icon: Option[HorizonIcon] = None) { - - def apply( - query: Query, - candidate: Candidate, - candidateFeatures: FeatureMap - ): GenericSummaryContext = GenericSummaryContext( - richTextBuilder.apply(query, candidate, candidateFeatures), - 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com.twitter.product_mixer.component_library.decorator.urt.builder.item.message.CompactPromptCandidateUrtItemStringCenterBuilder.CompactPromptClientEventInfoElement -import com.twitter.product_mixer.component_library.model.candidate.CompactPromptCandidate -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseStr -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.richtext.BaseRichTextBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.CompactPromptMessageContent -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.MessagePromptItem -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object CompactPromptCandidateUrtItemStringCenterBuilder { - val CompactPromptClientEventInfoElement: String = "message" -} - -case class CompactPromptCandidateUrtItemStringCenterBuilder[-Query <: PipelineQuery]( - clientEventInfoBuilder: BaseClientEventInfoBuilder[Query, CompactPromptCandidate], - feedbackActionInfoBuilder: Option[ - BaseFeedbackActionInfoBuilder[Query, CompactPromptCandidate] - ] = None, - headerTextBuilder: BaseStr[Query, CompactPromptCandidate], - bodyTextBuilder: Option[BaseStr[Query, CompactPromptCandidate]] = None, - headerRichTextBuilder: Option[BaseRichTextBuilder[Query, CompactPromptCandidate]] = None, - bodyRichTextBuilder: Option[BaseRichTextBuilder[Query, CompactPromptCandidate]] = None) - extends CandidateUrtEntryBuilder[Query, CompactPromptCandidate, MessagePromptItem] { - - override def apply( - query: Query, - compactPromptCandidate: CompactPromptCandidate, - candidateFeatures: FeatureMap - ): MessagePromptItem = - MessagePromptItem( - id = compactPromptCandidate.id.toString, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = clientEventInfoBuilder( - query, - compactPromptCandidate, - candidateFeatures, - Some(CompactPromptClientEventInfoElement)), - feedbackActionInfo = feedbackActionInfoBuilder.flatMap( - _.apply(query, compactPromptCandidate, candidateFeatures)), - isPinned = None, - content = CompactPromptMessageContent( - headerText = headerTextBuilder.apply(query, compactPromptCandidate, candidateFeatures), - bodyText = bodyTextBuilder.map(_.apply(query, compactPromptCandidate, candidateFeatures)), - primaryButtonAction = None, - secondaryButtonAction = None, - action = None, - headerRichText = - headerRichTextBuilder.map(_.apply(query, compactPromptCandidate, candidateFeatures)), - bodyRichText = - bodyRichTextBuilder.map(_.apply(query, compactPromptCandidate, candidateFeatures)) - ), - impressionCallbacks = None - ) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/message/InlinePromptCandidateUrtItemStringCenterBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/message/InlinePromptCandidateUrtItemStringCenterBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..193885eeff90bf509866dc0dd3fd45581406a1c6 GIT binary patch literal 37546 zcmagFWmsIvwm*!!dvJGmcL)S`m*C#Gy99R&?(XjH9)i0C2?TflcV_0CGjr~}@B3x* zP*v+EYwfP8y}Mdb1{?wd1Ox;I1TT$Cvr4%rJ{c4QWE=_v1RdC_BL=W@Hnnp$Q1!4k zb<$&Wx3y_XmQz?0M)`97ikZSBNbDtsj9I>GPi;>hk1Jl2am%f>%ycRX_IN+Z8?H91 z7z)K0pP6>=L%3Ei(Cyt!sUs$Ss;8H!Q9ue_;$5(j&v<6WwJ#A*BE2NFM=(DGRoj~B 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com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.MessageTextAction -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.UserFacepile -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.message.UserFacepileDisplayType - -case class UserFacePileBuilder( - userIds: Seq[Long], - featuredUserIds: Seq[Long], - action: Option[MessageTextAction], - actionType: Option[MessageActionType], - displaysFeaturingText: Option[Boolean], - displayType: Option[UserFacepileDisplayType]) { - - def apply(): UserFacepile = UserFacepile( - userIds = userIds, - featuredUserIds = featuredUserIds, - action = action, - actionType = actionType, - displaysFeaturingText = displaysFeaturingText, - displayType = displayType - ) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/moment/MomentAnnotationCandidateUrtItemBuilder.docx 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com.twitter.product_mixer.component_library.decorator.urt.builder.item.topic - -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.product_mixer.component_library.model.candidate.BaseTopicCandidate -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.topic.BaseTopicDisplayTypeBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.topic.TopicDisplayType - -case class StaticTopicDisplayTypeBuilder( - displayType: TopicDisplayType) - extends BaseTopicDisplayTypeBuilder[PipelineQuery, BaseTopicCandidate] { - - override def apply( - query: PipelineQuery, - candidate: BaseTopicCandidate, - candidateFeatures: FeatureMap - ): Option[TopicDisplayType] = Some(displayType) -} diff --git 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/StaticTopicFunctionalityTypeBuilder.scala deleted file mode 100644 index 73e99d0a3..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/StaticTopicFunctionalityTypeBuilder.scala +++ /dev/null @@ -1,18 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.topic - -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.component_library.model.candidate.BaseTopicCandidate -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.topic.BaseTopicFunctionalityTypeBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.topic.TopicFunctionalityType -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -case class StaticTopicFunctionalityTypeBuilder( - functionalityType: TopicFunctionalityType) - extends BaseTopicFunctionalityTypeBuilder[PipelineQuery, BaseTopicCandidate] { - - override def apply( - query: PipelineQuery, - candidate: BaseTopicCandidate, - candidateFeatures: FeatureMap - ): Option[TopicFunctionalityType] = Some(functionalityType) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/TopicCandidateUrtItemBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/TopicCandidateUrtItemBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..9dd694798b2ab425daf57c3c27ba1b77881709df GIT binary patch literal 37303 zcmagEWmsIvwm*z(a1HM6?hb+A?ruRF2@Z`1cMI0=A1Kg?!E8( zW%tunwSKbJ?yB0mOGy?I3KI+r3=RxGm0PP)r7$iD91Ls>1`G@X)T%2Eu>Wjs|JhK@ 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/TopicCandidateUrtItemBuilder.scala +++ /dev/null @@ -1,47 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.topic - -import com.twitter.product_mixer.component_library.decorator.urt.builder.item.topic.TopicCandidateUrtItemBuilder.TopicClientEventInfoElement -import com.twitter.product_mixer.component_library.model.candidate.BaseTopicCandidate -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.topic.BaseTopicDisplayTypeBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.topic.BaseTopicFunctionalityTypeBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.topic.TopicItem -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object TopicCandidateUrtItemBuilder { - val TopicClientEventInfoElement: String = "topic" -} - -case class TopicCandidateUrtItemBuilder[-Query <: PipelineQuery, Candidate <: BaseTopicCandidate]( - clientEventInfoBuilder: BaseClientEventInfoBuilder[Query, Candidate], - topicFunctionalityTypeBuilder: Option[BaseTopicFunctionalityTypeBuilder[Query, Candidate]] = None, - topicDisplayTypeBuilder: Option[BaseTopicDisplayTypeBuilder[Query, Candidate]] = None, - feedbackActionInfoBuilder: Option[ - BaseFeedbackActionInfoBuilder[Query, Candidate] - ] = None) - extends CandidateUrtEntryBuilder[Query, Candidate, TopicItem] { - - override def apply( - query: Query, - topicCandidate: Candidate, - candidateFeatures: FeatureMap - ): TopicItem = - TopicItem( - id = topicCandidate.id, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = clientEventInfoBuilder( - query, - topicCandidate, - candidateFeatures, - Some(TopicClientEventInfoElement)), - feedbackActionInfo = - feedbackActionInfoBuilder.flatMap(_.apply(query, topicCandidate, candidateFeatures)), - topicFunctionalityType = - topicFunctionalityTypeBuilder.flatMap(_.apply(query, topicCandidate, candidateFeatures)), - topicDisplayType = - topicDisplayTypeBuilder.flatMap(_.apply(query, topicCandidate, candidateFeatures)) - ) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/topic/VerticalGridTopicCandidateUrtItemBuilder.docx 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T0&@^3R|zsC0<*`9UJwreRd4`` literal 0 HcmV?d00001 diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendCandidateUrtItemBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendCandidateUrtItemBuilder.scala deleted file mode 100644 index c3f5c45ad..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendCandidateUrtItemBuilder.scala +++ /dev/null @@ -1,63 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.trend - -import com.twitter.product_mixer.component_library.decorator.urt.builder.item.trend.TrendCandidateUrtItemBuilder.TrendsClientEventInfoElement -import com.twitter.product_mixer.component_library.model.candidate.trends_events.TrendDescription -import com.twitter.product_mixer.component_library.model.candidate.trends_events.TrendDomainContext -import com.twitter.product_mixer.component_library.model.candidate.trends_events.TrendGroupedTrends -import com.twitter.product_mixer.component_library.model.candidate.trends_events.TrendNormalizedTrendName -import com.twitter.product_mixer.component_library.model.candidate.trends_events.TrendTrendName -import com.twitter.product_mixer.component_library.model.candidate.trends_events.TrendTweetCount -import com.twitter.product_mixer.component_library.model.candidate.trends_events.TrendUrl -import com.twitter.product_mixer.component_library.model.candidate.trends_events.UnifiedTrendCandidate -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.promoted.BasePromotedMetadataBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.TimelineItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.trend.TrendItem -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object TrendCandidateUrtItemBuilder { - final val TrendsClientEventInfoElement = "trend" -} - -case class TrendCandidateUrtItemBuilder[Query <: PipelineQuery]( - trendMetaDescriptionBuilder: TrendMetaDescriptionBuilder[Query, UnifiedTrendCandidate], - promotedMetadataBuilder: BasePromotedMetadataBuilder[Query, UnifiedTrendCandidate], - clientEventInfoBuilder: BaseClientEventInfoBuilder[Query, UnifiedTrendCandidate], - feedbackActionInfoBuilder: Option[BaseFeedbackActionInfoBuilder[Query, UnifiedTrendCandidate]] = - None) - extends CandidateUrtEntryBuilder[Query, UnifiedTrendCandidate, TimelineItem] { - - override def apply( - query: Query, - candidate: UnifiedTrendCandidate, - candidateFeatures: FeatureMap - ): TimelineItem = { - TrendItem( - id = candidate.id, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = clientEventInfoBuilder( - query = query, - candidate = candidate, - candidateFeatures = candidateFeatures, - element = Some(TrendsClientEventInfoElement) - ), - feedbackActionInfo = None, - normalizedTrendName = candidateFeatures.get(TrendNormalizedTrendName), - trendName = candidateFeatures.get(TrendTrendName), - url = candidateFeatures.get(TrendUrl), - description = candidateFeatures.getOrElse(TrendDescription, None), - metaDescription = trendMetaDescriptionBuilder(query, candidate, candidateFeatures), - tweetCount = candidateFeatures.getOrElse(TrendTweetCount, None), - domainContext = candidateFeatures.getOrElse(TrendDomainContext, None), - promotedMetadata = promotedMetadataBuilder( - query = query, - candidate = candidate, - candidateFeatures = candidateFeatures - ), - groupedTrends = candidateFeatures.getOrElse(TrendGroupedTrends, None) - ) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendMetaDescriptionBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendMetaDescriptionBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..a32e84c629d34fdd5cdf0b7b68ff38503afd6ba4 GIT binary patch literal 37237 zcmagFWmsIvwm*z(a1HM6?hXNhyF<{RjRc3rgL`lf?(XgmA-G$RKya6ae`jXSIWy

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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendMetaDescriptionBuilder.scala deleted file mode 100644 index b8cc639a0..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendMetaDescriptionBuilder.scala +++ /dev/null @@ -1,38 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.trend - -import com.twitter.product_mixer.component_library.decorator.urt.builder.stringcenter.Str -import com.twitter.product_mixer.component_library.model.candidate.trends_events.PromotedTrendAdvertiserNameFeature -import com.twitter.product_mixer.component_library.model.candidate.trends_events.TrendTweetCount -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.trends.trending_content.util.CompactingNumberLocalizer - -case class TrendMetaDescriptionBuilder[-Query <: PipelineQuery, -Candidate <: UniversalNoun[Any]]( - promotedByMetaDescriptionStr: Str[PipelineQuery, UniversalNoun[Any]], - tweetCountMetaDescriptionStr: Str[PipelineQuery, UniversalNoun[Any]], - compactingNumberLocalizer: CompactingNumberLocalizer) { - - def apply( - query: Query, - candidate: Candidate, - candidateFeatures: FeatureMap - ): Option[String] = { - val promotedMetaDescription = - candidateFeatures.getOrElse(PromotedTrendAdvertiserNameFeature, None).map { advertiserName => - promotedByMetaDescriptionStr(query, candidate, candidateFeatures).format(advertiserName) - } - - val organicMetaDescription = candidateFeatures.getOrElse(TrendTweetCount, None).map { - tweetCount => - val compactedTweetCount = compactingNumberLocalizer.localizeAndCompact( - query.getLanguageCode - .getOrElse("en"), - tweetCount) - tweetCountMetaDescriptionStr(query, candidate, candidateFeatures).format( - compactedTweetCount) - } - - promotedMetaDescription.orElse(organicMetaDescription) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendPromotedMetadataBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendPromotedMetadataBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..b53def3ce30211f0e8792fb09aff8e71fe5af33d GIT binary patch literal 37312 zcmagEb9`RQ+CLoIZfx6j(xkC%HN0aRjjhJEZQD&_t3i{-_V4cA`<%1)d7kHe|5^ED zX09);Yuz)m)*3|_a0m<#5D*v;yfiM&D&?a1WKa;0aVQWFbYQEF7{Jci%+A?B)x+M* zNsrOp)}|?0PGLp0$64|fIjFjqG)){c^0o-514KLIrzZf}L?PYYE&|o`;sxOPWQPJK+vkLif3a}2Qterao&(?UiXjfsjU^G z>SK8vB!%mFFNTzP(i=!a)j*<`1eMO(8C&HYd_Qo1Pg4|2F8H_{rhh*_CucjU=0A%3 zg+ooKPPs!QHf4;BhwI(pSd7%?HaA#jg-2Z8r&HWOfI2{U(Cgt6>G{A2auw$RA)xwR 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendPromotedMetadataBuilder.scala deleted file mode 100644 index 9c1c34fa5..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/trend/TrendPromotedMetadataBuilder.scala +++ /dev/null @@ -1,41 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.trend - -import com.twitter.product_mixer.component_library.model.candidate.trends_events.PromotedTrendDescriptionFeature -import com.twitter.product_mixer.component_library.model.candidate.trends_events.PromotedTrendDisclosureTypeFeature -import com.twitter.product_mixer.component_library.model.candidate.trends_events.PromotedTrendIdFeature -import com.twitter.product_mixer.component_library.model.candidate.trends_events.PromotedTrendImpressionIdFeature -import com.twitter.product_mixer.component_library.model.candidate.trends_events.PromotedTrendNameFeature -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.promoted.BasePromotedMetadataBuilder -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.PromotedMetadata -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object TrendPromotedMetadataBuilder - extends BasePromotedMetadataBuilder[PipelineQuery, UniversalNoun[Any]] { - - override def apply( - query: PipelineQuery, - candidate: UniversalNoun[Any], - candidateFeatures: FeatureMap - ): Option[PromotedMetadata] = { - // If a promoted trend name exists, then this is a promoted trend - candidateFeatures.getOrElse(PromotedTrendNameFeature, None).map { promotedTrendName => - PromotedMetadata( - // This is the current product behavior that advertiserId is always set to 0L. - // Correct advertiser name comes from Trend's trendMetadata.metaDescription. - advertiserId = 0L, - disclosureType = candidateFeatures.getOrElse(PromotedTrendDisclosureTypeFeature, None), - experimentValues = None, - promotedTrendId = candidateFeatures.getOrElse(PromotedTrendIdFeature, None), - promotedTrendName = Some(promotedTrendName), - promotedTrendQueryTerm = None, - adMetadataContainer = None, - promotedTrendDescription = - candidateFeatures.getOrElse(PromotedTrendDescriptionFeature, None), - impressionString = candidateFeatures.getOrElse(PromotedTrendImpressionIdFeature, None), - clickTrackingInfo = None - ) - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/tweet/TweetCandidateUrtItemBuilder.docx 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/tweet/TweetCandidateUrtItemBuilder.scala deleted file mode 100644 index d02b96f1c..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/tweet/TweetCandidateUrtItemBuilder.scala +++ /dev/null @@ -1,92 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.tweet - -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.TweetClientEventInfoElement -import com.twitter.product_mixer.component_library.model.candidate.BaseTweetCandidate -import com.twitter.product_mixer.component_library.model.candidate.IsPinnedFeature -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.tweet.BaseEntryIdToReplaceBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.tweet.BaseTimelinesScoreInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.tweet.BaseTweetHighlightsBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseUrlBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.conversation_annotation.ConversationAnnotation -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.forward_pivot.ForwardPivot -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tombstone.TombstoneInfo -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.Tweet -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.tweet.TweetItem -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Badge -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.PrerollMetadata -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted.PromotedMetadata -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -case object TweetCandidateUrtItemBuilder { - val TweetClientEventInfoElement = "tweet" -} - -case class TweetCandidateUrtItemBuilder[Query <: PipelineQuery, Candidate <: BaseTweetCandidate]( - clientEventInfoBuilder: BaseClientEventInfoBuilder[Query, Candidate], - displayType: TweetDisplayType = Tweet, - entryIdToReplaceBuilder: Option[BaseEntryIdToReplaceBuilder[Query, Candidate]] = None, - socialContextBuilder: Option[BaseSocialContextBuilder[Query, Candidate]] = None, - highlightsBuilder: Option[BaseTweetHighlightsBuilder[Query, Candidate]] = None, - innerTombstoneInfo: Option[TombstoneInfo] = None, - timelinesScoreInfoBuilder: Option[BaseTimelinesScoreInfoBuilder[Query, Candidate]] = None, - hasModeratedReplies: Option[Boolean] = None, - forwardPivot: Option[ForwardPivot] = None, - innerForwardPivot: Option[ForwardPivot] = None, - feedbackActionInfoBuilder: Option[BaseFeedbackActionInfoBuilder[Query, Candidate]] = None, - promotedMetadata: Option[PromotedMetadata] = None, - conversationAnnotation: Option[ConversationAnnotation] = None, - contextualTweetRefBuilder: Option[ContextualTweetRefBuilder[Candidate]] = None, - prerollMetadata: Option[PrerollMetadata] = None, - replyBadge: Option[Badge] = None, - destinationBuilder: Option[BaseUrlBuilder[Query, Candidate]] = None) - extends CandidateUrtEntryBuilder[Query, Candidate, TweetItem] { - - override def apply( - pipelineQuery: Query, - tweetCandidate: Candidate, - candidateFeatures: FeatureMap - ): TweetItem = { - val isPinned = candidateFeatures.getTry(IsPinnedFeature).toOption - - TweetItem( - id = tweetCandidate.id, - entryNamespace = TweetItem.TweetEntryNamespace, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = clientEventInfoBuilder( - pipelineQuery, - tweetCandidate, - candidateFeatures, - Some(TweetClientEventInfoElement)), - feedbackActionInfo = feedbackActionInfoBuilder.flatMap( - _.apply(pipelineQuery, tweetCandidate, candidateFeatures)), - isPinned = isPinned, - entryIdToReplace = - entryIdToReplaceBuilder.flatMap(_.apply(pipelineQuery, tweetCandidate, candidateFeatures)), - socialContext = - socialContextBuilder.flatMap(_.apply(pipelineQuery, tweetCandidate, candidateFeatures)), - highlights = - highlightsBuilder.flatMap(_.apply(pipelineQuery, tweetCandidate, candidateFeatures)), - displayType = displayType, - innerTombstoneInfo = innerTombstoneInfo, - timelinesScoreInfo = timelinesScoreInfoBuilder - .flatMap(_.apply(pipelineQuery, tweetCandidate, candidateFeatures)), - hasModeratedReplies = hasModeratedReplies, - forwardPivot = forwardPivot, - innerForwardPivot = innerForwardPivot, - promotedMetadata = promotedMetadata, - conversationAnnotation = conversationAnnotation, - contextualTweetRef = contextualTweetRefBuilder.flatMap(_.apply(tweetCandidate)), - prerollMetadata = prerollMetadata, - replyBadge = replyBadge, - destination = - destinationBuilder.map(_.apply(pipelineQuery, tweetCandidate, candidateFeatures)) - ) - } -} diff --git 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--git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/user/UserCandidateUrtItemBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/user/UserCandidateUrtItemBuilder.scala deleted file mode 100644 index 95a7e6bd9..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/item/user/UserCandidateUrtItemBuilder.scala +++ /dev/null @@ -1,62 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.item.user - -import com.twitter.product_mixer.component_library.decorator.urt.builder.item.user.UserCandidateUrtItemBuilder.UserClientEventInfoElement -import com.twitter.product_mixer.component_library.model.candidate.BaseUserCandidate -import com.twitter.product_mixer.component_library.model.candidate.IsMarkUnreadFeature -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.item.user.BaseUserReactiveTriggersBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseClientEventInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseFeedbackActionInfoBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.promoted.BasePromotedMetadataBuilder -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.user.User -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.user.UserDisplayType -import com.twitter.product_mixer.core.model.marshalling.response.urt.item.user.UserItem -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -object UserCandidateUrtItemBuilder { - val UserClientEventInfoElement: String = "user" -} - -case class UserCandidateUrtItemBuilder[Query <: PipelineQuery, UserCandidate <: BaseUserCandidate]( - clientEventInfoBuilder: BaseClientEventInfoBuilder[Query, UserCandidate], - feedbackActionInfoBuilder: Option[ - BaseFeedbackActionInfoBuilder[Query, UserCandidate] - ] = None, - displayType: UserDisplayType = User, - promotedMetadataBuilder: Option[BasePromotedMetadataBuilder[Query, UserCandidate]] = None, - socialContextBuilder: Option[BaseSocialContextBuilder[Query, UserCandidate]] = None, - reactiveTriggersBuilder: Option[BaseUserReactiveTriggersBuilder[Query, UserCandidate]] = None, - enableReactiveBlending: Option[Boolean] = None) - extends CandidateUrtEntryBuilder[Query, UserCandidate, UserItem] { - - override def apply( - query: Query, - userCandidate: UserCandidate, - candidateFeatures: FeatureMap - ): UserItem = { - val isMarkUnread = candidateFeatures.getTry(IsMarkUnreadFeature).toOption - - UserItem( - id = userCandidate.id, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - clientEventInfo = clientEventInfoBuilder( - query, - userCandidate, - candidateFeatures, - Some(UserClientEventInfoElement)), - feedbackActionInfo = - feedbackActionInfoBuilder.flatMap(_.apply(query, userCandidate, candidateFeatures)), - isMarkUnread = isMarkUnread, - displayType = displayType, - promotedMetadata = - promotedMetadataBuilder.flatMap(_.apply(query, userCandidate, candidateFeatures)), - socialContext = - socialContextBuilder.flatMap(_.apply(query, userCandidate, candidateFeatures)), - reactiveTriggers = - reactiveTriggersBuilder.flatMap(_.apply(query, userCandidate, candidateFeatures)), - enableReactiveBlending = enableReactiveBlending - ) - } -} diff --git 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com.twitter.product_mixer.component_library.decorator.urt.builder.metadata.ConversationTweetClientEventDetailsBuilder.ControllerDataSerializer -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.component_library.model.candidate.BaseTweetCandidate -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.thriftscala.HomeTweetsControllerData -import com.twitter.suggests.controller_data.thriftscala.ControllerData -import com.twitter.suggests.controller_data.home_tweets.v1.thriftscala.{ - HomeTweetsControllerData => HomeTweetsControllerDataV1 -} -import com.twitter.suggests.controller_data.v2.thriftscala.{ControllerData => ControllerDataV2} - -object ConversationTweetClientEventDetailsBuilder { - implicit val ByteSerializer: Serializer[ControllerData, Array[Byte]] = - BinaryScalaCodec(ControllerData) - - val ControllerDataSerializer: Serializer[ControllerData, String] = - Serializer.connect[ControllerData, Array[Byte], Base64String, String] -} - -case class ConversationTweetClientEventDetailsBuilder[-Query <: PipelineQuery]( - injectionType: Option[String]) - extends BaseClientEventDetailsBuilder[Query, BaseTweetCandidate] { - - override def apply( - query: Query, - tweetCandidate: BaseTweetCandidate, - candidateFeatures: FeatureMap - ): Option[ClientEventDetails] = - Some( - ClientEventDetails( - conversationDetails = None, - timelinesDetails = Some( - TimelinesDetails( - injectionType = injectionType, - controllerData = Some(buildControllerData(query.getUserOrGuestId)), - sourceData = None)), - articleDetails = None, - liveEventDetails = None, - commerceDetails = None - )) - - private def buildControllerData(traceId: Option[Long]): String = - ControllerDataSerializer( - ControllerData.V2( - ControllerDataV2.HomeTweets( - HomeTweetsControllerData.V1( - HomeTweetsControllerDataV1( - tweetTypesBitmap = 0L, - traceId = traceId, - ) - ) - ) - ) - ) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/StaticUrlBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/StaticUrlBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..c9b2f8746ab87039e462771e04c6f741875c4ee5 GIT binary patch literal 36962 zcmagFWmsIvwm*z(a1HM6?hb+A?ruRFcN!1w7Tn$4-8}?%3y?r?_kU+*&N(yZ-uu2^ znun^jezMlywW~LUk}M;)@@S%}1290jX<*MY`?As$bnCgX-jdztw}4&vc%k}q6+ zRw)#QDLymp&X;JdUa;GznMzk&;zVCRQ?q~!vc#ugBcJKif_q;wo>XQ@dXI2^2&T3* 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicClientEventDetailsBuilder.scala deleted file mode 100644 index af28b49f3..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicClientEventDetailsBuilder.scala +++ /dev/null @@ -1,56 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.metadata - -import com.twitter.bijection.scrooge.BinaryScalaCodec -import com.twitter.bijection.Base64String -import com.twitter.bijection.{Injection => Serializer} -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.component_library.model.candidate.BaseTopicCandidate -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.thriftscala.ControllerData -import com.twitter.suggests.controller_data.timelines_topic.thriftscala.TimelinesTopicControllerData -import com.twitter.suggests.controller_data.timelines_topic.v1.thriftscala.{ - TimelinesTopicControllerData => TimelinesTopicControllerDataV1 -} -import com.twitter.suggests.controller_data.v2.thriftscala.{ControllerData => ControllerDataV2} - -object TopicClientEventDetailsBuilder { - implicit val ByteSerializer: Serializer[ControllerData, Array[Byte]] = - BinaryScalaCodec(ControllerData) - - val ControllerDataSerializer: Serializer[ControllerData, String] = - Serializer.connect[ControllerData, Array[Byte], Base64String, String] -} - -case class TopicClientEventDetailsBuilder[-Query <: PipelineQuery]() - extends BaseClientEventDetailsBuilder[Query, BaseTopicCandidate] { - - import TopicClientEventDetailsBuilder._ - - override def apply( - query: Query, - topicCandidate: BaseTopicCandidate, - candidateFeatures: FeatureMap - ): Option[ClientEventDetails] = - Some( - ClientEventDetails( - conversationDetails = None, - timelinesDetails = Some( - TimelinesDetails( - injectionType = None, - controllerData = buildControllerData(topicCandidate.id), - sourceData = None)), - articleDetails = None, - liveEventDetails = None, - commerceDetails = None - )) - - private def buildControllerData(topicId: Long): Option[String] = - Some( - ControllerData - .V2(ControllerDataV2.TimelinesTopic(TimelinesTopicControllerData.V1( - TimelinesTopicControllerDataV1(topicTypesBitmap = 0L, topicId = topicId))))) - .map(ControllerDataSerializer) -} diff --git 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicTweetClientEventDetailsBuilder.scala deleted file mode 100644 index 451b347ae..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicTweetClientEventDetailsBuilder.scala +++ /dev/null @@ -1,66 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.metadata - -import com.twitter.bijection.scrooge.BinaryScalaCodec -import com.twitter.bijection.Base64String -import com.twitter.bijection.{Injection => Serializer} -import com.twitter.interests_mixer.model.request.{HasTopicId => InterestsMixerHasTopicId} -import com.twitter.explore_mixer.model.request.{HasTopicId => ExploreMixerHasTopicId} -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.BaseClientEventDetailsBuilder -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.thriftscala.HomeTweetsControllerData -import com.twitter.suggests.controller_data.home_tweets.v1.thriftscala.{ - HomeTweetsControllerData => HomeTweetsControllerDataV1 -} -import com.twitter.suggests.controller_data.thriftscala.ControllerData -import com.twitter.suggests.controller_data.v2.thriftscala.{ControllerData => ControllerDataV2} - -object TopicTweetClientEventDetailsBuilder { - implicit val ByteSerializer: Serializer[ControllerData, Array[Byte]] = - BinaryScalaCodec(ControllerData) - - val ControllerDataSerializer: Serializer[ControllerData, String] = - Serializer.connect[ControllerData, Array[Byte], Base64String, String] -} - -case class TopicTweetClientEventDetailsBuilder[-Query <: PipelineQuery]() - extends BaseClientEventDetailsBuilder[Query, TweetCandidate] { - - import TopicTweetClientEventDetailsBuilder._ - - override def apply( - query: Query, - topicTweetCandidate: TweetCandidate, - candidateFeatures: FeatureMap - ): Option[ClientEventDetails] = - Some( - ClientEventDetails( - conversationDetails = None, - timelinesDetails = Some( - TimelinesDetails( - injectionType = None, - controllerData = buildControllerData(getTopicId(query)), - sourceData = None)), - articleDetails = None, - liveEventDetails = None, - commerceDetails = None - )) - - private def getTopicId(query: Query): Option[Long] = { - query match { - case query: InterestsMixerHasTopicId => query.topicId - case query: ExploreMixerHasTopicId => query.topicId - case _ => None - } - } - - private def buildControllerData(topicId: Option[Long]): Option[String] = - Some( - 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0 HcmV?d00001 diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicsToFollowModuleMetadataBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicsToFollowModuleMetadataBuilder.scala deleted file mode 100644 index fa32e2127..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/TopicsToFollowModuleMetadataBuilder.scala +++ /dev/null @@ -1,39 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.metadata - -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.common.UniversalNoun -import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.GridCarouselMetadata -import com.twitter.product_mixer.core.model.marshalling.response.urt.timeline_module.ModuleMetadata -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.timelines.configapi.Param - -object TopicsToFollowModuleMetadataBuilder { - - val TopicsPerRow = 7 - - /* - * rows = min(MAX_NUM_ROWS, # topics / TOPICS_PER_ROW) - * where TOPICS_PER_ROW = 7 - */ - def getCarouselRowCount(topicsCount: Int, maxCarouselRows: Int): Int = - Math.min(maxCarouselRows, (topicsCount / TopicsPerRow) + 1) -} - -case class TopicsToFollowModuleMetadataBuilder(maxCarouselRowsParam: Param[Int]) - extends BaseModuleMetadataBuilder[PipelineQuery, UniversalNoun[Any]] { - - import TopicsToFollowModuleMetadataBuilder._ - - override def apply( - query: PipelineQuery, - candidates: Seq[CandidateWithFeatures[UniversalNoun[Any]]] - ): ModuleMetadata = { - val rowCount = getCarouselRowCount(candidates.size, query.params(maxCarouselRowsParam)) - ModuleMetadata( - adsMetadata = None, - conversationMetadata = None, - gridCarouselMetadata = Some(GridCarouselMetadata(numRows = Some(rowCount))) - ) - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/WhoToFollowFeedbackActionInfoBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/metadata/WhoToFollowFeedbackActionInfoBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..d118dab465618ad115fe6b03729fa8fe8cf47fb3 GIT binary patch literal 37413 zcmagEWmsIvwm*!!ySux)TOhc*1P$6qaJS$dAh^4`ySuwXkU((ve`jXSIWy{x7q~G)566yKi6XYt+1A>3$ zz4S{*;lA@)K(2`#LlUj-Ya(GjYFFH+XU`}2qB2|wp`MqeqK$pw(R;GoXAF4*5T$=~ z(Va?G88IW~SfQiuj3-;H)Tq=R%Uhltp%p>Js@Y1`rY^9NkgGv%mZ{WYsXgYf{ z&H}x+o^oyk? 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/operation/CursorCandidateUrtOperationBuilder.scala +++ /dev/null @@ -1,29 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.operation - -import com.twitter.product_mixer.component_library.model.candidate.CursorCandidate -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.CandidateUrtEntryBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.CursorDisplayTreatment -import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.CursorOperation -import com.twitter.product_mixer.core.model.marshalling.response.urt.operation.CursorType -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -case class CursorCandidateUrtOperationBuilder[-Query <: PipelineQuery]( - cursorType: CursorType, - displayTreatment: Option[CursorDisplayTreatment] = None, - idToReplace: Option[Long] = None) - extends CandidateUrtEntryBuilder[Query, CursorCandidate, CursorOperation] { - - override def apply( - query: Query, - cursorCandidate: CursorCandidate, - candidateFeatures: FeatureMap - ): CursorOperation = CursorOperation( - id = cursorCandidate.id, - sortIndex = None, // Sort indexes are automatically set in the domain marshaller phase - value = cursorCandidate.value, - cursorType = cursorType, - displayTreatment = displayTreatment, - idToReplace = idToReplace - ) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/promoted/FeaturePromotedMetadataBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/promoted/FeaturePromotedMetadataBuilder.docx new file mode 100644 index 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/promoted/FeaturePromotedMetadataBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/promoted/FeaturePromotedMetadataBuilder.scala deleted file mode 100644 index 6edc3b593..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/promoted/FeaturePromotedMetadataBuilder.scala +++ /dev/null @@ -1,106 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.promoted - -import com.twitter.ads.adserver.{thriftscala => ads} -import com.twitter.ads.common.base.{thriftscala => ac} -import com.twitter.adserver.{thriftscala => ad} -import com.twitter.product_mixer.core.feature.Feature -import com.twitter.product_mixer.core.feature.featuremap.FeatureMap -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.promoted.BasePromotedMetadataBuilder -import com.twitter.product_mixer.core.model.common.UniversalNoun -import com.twitter.product_mixer.core.model.marshalling.response.urt.promoted._ -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.timelines.util.AdMetadataContainerSerializer - -case class FeaturePromotedMetadataBuilder(adImpressionFeature: Feature[_, Option[ad.AdImpression]]) - extends BasePromotedMetadataBuilder[PipelineQuery, UniversalNoun[Any]] { - - def apply( - query: PipelineQuery, - candidate: UniversalNoun[Any], - candidateFeatures: FeatureMap - ): Option[PromotedMetadata] = { - candidateFeatures.getOrElse(adImpressionFeature, None).map { impression => - PromotedMetadata( - advertiserId = impression.advertiserId, - disclosureType = impression.disclosureType.map(convertDisclosureType), - experimentValues = impression.experimentValues.map(_.toMap), - promotedTrendId = impression.promotedTrendId.map(_.toLong), - promotedTrendName = impression.promotedTrendName, - promotedTrendQueryTerm = impression.promotedTrendQueryTerm, - adMetadataContainer = - impression.serializedAdMetadataContainer.flatMap(convertAdMetadataContainer), - promotedTrendDescription = impression.promotedTrendDescription, - impressionString = impression.impressionString, - clickTrackingInfo = impression.clickTrackingInfo.map(convertClickTrackingInfo), - ) - } - } - - private def convertAdMetadataContainer( - serializedAdMetadataContainer: ac.SerializedThrift - ): Option[AdMetadataContainer] = - AdMetadataContainerSerializer.deserialize(serializedAdMetadataContainer).map { container => - AdMetadataContainer( - removePromotedAttributionForPreroll = container.removePromotedAttributionForPreroll, - sponsorshipCandidate = container.sponsorshipCandidate, - sponsorshipOrganization = container.sponsorshipOrganization, - sponsorshipOrganizationWebsite = container.sponsorshipOrganizationWebsite, - sponsorshipType = container.sponsorshipType.map(convertSponsorshipType), - disclaimerType = container.disclaimerType.map(convertDisclaimerType), - skAdNetworkDataList = container.skAdNetworkDataList.map(convertSkAdNetworkDataList), - unifiedCardOverride = container.unifiedCardOverride - ) - } - - private def convertDisclosureType(disclosureType: ad.DisclosureType): DisclosureType = - disclosureType match { - case ad.DisclosureType.None => NoDisclosure - case ad.DisclosureType.Political => Political - case ad.DisclosureType.Earned => Earned - case ad.DisclosureType.Issue => Issue - case _ => throw new UnsupportedOperationException(s"Unsupported: $disclosureType") - } - - private def convertSponsorshipType(sponsorshipType: ads.SponsorshipType): SponsorshipType = - sponsorshipType match { - case ads.SponsorshipType.Direct => DirectSponsorshipType - case ads.SponsorshipType.Indirect => IndirectSponsorshipType - case ads.SponsorshipType.NoSponsorship => NoSponsorshipSponsorshipType - case _ => throw new UnsupportedOperationException(s"Unsupported: $sponsorshipType") - } - - private def convertDisclaimerType(disclaimerType: ads.DisclaimerType): DisclaimerType = - disclaimerType match { - case ads.DisclaimerType.Political => DisclaimerPolitical - case ads.DisclaimerType.Issue => DisclaimerIssue - case _ => throw new UnsupportedOperationException(s"Unsupported: $disclaimerType") - } - - private def convertSkAdNetworkDataList( - skAdNetworkDataList: Seq[ads.SkAdNetworkData] - ): Seq[SkAdNetworkData] = skAdNetworkDataList.map { sdAdNetwork => - SkAdNetworkData( - version = sdAdNetwork.version, - srcAppId = sdAdNetwork.srcAppId, - dstAppId = sdAdNetwork.dstAppId, - adNetworkId = sdAdNetwork.adNetworkId, - campaignId = sdAdNetwork.campaignId, - impressionTimeInMillis = sdAdNetwork.impressionTimeInMillis, - nonce = sdAdNetwork.nonce, - signature = sdAdNetwork.signature, - fidelityType = sdAdNetwork.fidelityType - ) - } - - private def convertClickTrackingInfo(clickTracking: ad.ClickTrackingInfo): ClickTrackingInfo = - ClickTrackingInfo( - urlParams = clickTracking.urlParams.getOrElse(Map.empty), - urlOverride = clickTracking.urlOverride, - urlOverrideType = clickTracking.urlOverrideType.map { - case ad.UrlOverrideType.Unknown => UnknownUrlOverrideType - case ad.UrlOverrideType.Dcm => DcmUrlOverrideType - case ad.UrlOverrideType.EnumUnknownUrlOverrideType(value) => - throw new UnsupportedOperationException(s"Unsupported: $value") - } - ) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..c644eebd7032ca6cd49ff56358cf2a559a13f9c1 GIT binary patch literal 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z8!6iUcXpih>4Qs2Q!Xy$O7zT8lWN6iN=AqBA+1n-gW^cL=&+rdUH_!FA#h|hv@P%%wmNxGGSJ^gdu^6~ zKVXup)pTPAlRBrN@71+D62%ofH&C_06&UpCNpWuQ!q{SNNWNFsNQQZ^-9#Ct@!QD6 zd7OWZ(;_-S5x3KUyLX^;xZ3sF;wy(jz_UHSsn2e`K?jq2hwu>jkeOLbv)T8<1SNcd zk3`FfR7HEU52TU&;k*I2PQI4azn`@E$Rrk88Ih{Hr5g-u}*Zzsi+_V?g*p$$!uYA`A6nV1my}67mq%N&oQl2mQnIpCSq&oUrin z2i}DE4JRnW5Hb)JBK|OJ-v7;TtSmu@C(IiE!H0$a#uMg{2`LEm_aBO&*uScALIOge z`-k9W+ - val startIndex = richText.text.offsetByCodePoints(0, e.fromIndex) - val endIndex = richText.text.offsetByCodePoints(0, e.toIndex) - e.format.foreach { f => - builder.setFormat(startIndex, endIndex, f) - } - e.ref.foreach { r => - builder.setRefObject(startIndex, endIndex, r) - } - } - builder - } - - private def buildRichTextEntity( - text: String, - entity: TwitterTextRendererEntity[_] - ): RichTextEntity = { - val fromIndex = text.codePointCount(0, entity.startIndex) - val toIndex = text.codePointCount(0, entity.endIndex) - - entity.value match { - case format: RichTextFormat => - RichTextEntity(fromIndex, toIndex, ref = None, format = Some(format)) - case ref: ReferenceObject => - RichTextEntity(fromIndex, toIndex, ref = Some(ref), format = None) - } - } -} - -case class TwitterTextRenderer( - rtl: Option[Boolean], - alignment: Option[RichTextAlignment], -) { - private[this] val textBuilder = new mutable.StringBuilder() - - private[richtext] val formatBuffer = - mutable.ArrayBuffer[TwitterTextRendererEntity[RichTextFormat]]() - private[richtext] val refObjectBuffer = - mutable.ArrayBuffer[TwitterTextRendererEntity[ReferenceObject]]() - - /** - * Appends a string with attached [[RichTextFormat]] and [[ReferenceObject]] information. - * @param string The text to append to the end of the existing text - * @param format The [[RichTextFormat]] assigned to the new text - * @param refObject The [[ReferenceObject]] assigned to the new text - * @return this - */ - def append( - string: String, - format: Option[RichTextFormat] = None, - refObject: Option[ReferenceObject] = None - ): TwitterTextRenderer = { - if (string.nonEmpty) { - val start = textBuilder.length - val end = start + string.length - format.foreach { f => - formatBuffer.append(TwitterTextRendererEntity(start, end, f)) - } - refObject.foreach { r => - refObjectBuffer.append(TwitterTextRendererEntity(start, end, r)) - } - textBuilder.append(string) - } - this - } - - /** - * Builds a new [[RichText]] thrift instance with Unicode entity ranges. - */ - def build: RichText = { - val richTextString = this.text - val richTextEntities = this.entities - .map { e => - TwitterTextRenderer.buildRichTextEntity(richTextString, e) - } - - RichText( - text = richTextString, - rtl = rtl, - alignment = alignment, - entities = richTextEntities.toList - ) - } - - /** - * Modifies the TwitterTextRenderer with the provided [[TwitterTextRendererProcessor]] - */ - def transform(twitterTextProcessor: TwitterTextRendererProcessor): TwitterTextRenderer = { - twitterTextProcessor.process(this) - } - - /** - * Builds and returns a sorted list of [[TwitterTextRendererEntity]] with JVM String index entity ranges. - */ - def entities: Seq[TwitterTextRendererEntity[_]] = { - buildEntities(formatBuffer.toList, refObjectBuffer.toList) - } - - /** - * Assigns a [[RichTextFormat]] to the given range while keeping existing formatting information. - * New formatting will only be assigned to unformatted text ranges. - * @param start Start index to apply formatting (inclusive) - * @param end End index to apply formatting (exclusive) - * @param format The format to assign - * @return this - */ - def mergeFormat(start: Int, end: Int, format: RichTextFormat): TwitterTextRenderer = { - validateRange(start, end) - var injectionIndex: Option[Int] = None - var entity = TwitterTextRendererEntity(start, end, format) - - val buffer = mutable.ArrayBuffer[TwitterTextRendererEntity[RichTextFormat]]() - val iterator = formatBuffer.zipWithIndex.reverseIterator - - while (iterator.hasNext && injectionIndex.isEmpty) { - iterator.next match { - case (e, i) if e.startIndex >= end => - buffer.append(e) - - case (e, i) if e.enclosedIn(entity.startIndex, entity.endIndex) => - val endEntity = entity.copy(startIndex = e.endIndex) - if (endEntity.nonEmpty) { buffer.append(endEntity) } - buffer.append(e) - entity = entity.copy(endIndex = e.startIndex) - - case (e, i) if e.encloses(entity.startIndex, entity.endIndex) => - buffer.append(e.copy(startIndex = entity.endIndex)) - buffer.append(e.copy(endIndex = entity.startIndex)) - injectionIndex = Some(i + 1) - - case (e, i) if e.startsBetween(entity.startIndex, entity.endIndex) => - buffer.append(e) - entity = entity.copy(endIndex = e.startIndex) - - case (e, i) if e.endsBetween(entity.startIndex, entity.endIndex) => - buffer.append(e) - entity = entity.copy(startIndex = e.endIndex) - injectionIndex = Some(i + 1) - - case (e, i) if e.endIndex <= entity.startIndex => - buffer.append(e) - injectionIndex = Some(i + 1) - - case _ => // do nothing - } - } - - val index = injectionIndex.map(_ - 1).getOrElse(0) - formatBuffer.remove(index, formatBuffer.length - index) - formatBuffer.appendAll(buffer.reverse) - - if (entity.nonEmpty) { - formatBuffer.insert(injectionIndex.getOrElse(0), entity) - } - - this - } - - /** - * Removes text, formatting, and refObject information from the given range. - * @param start Start index to apply formatting (inclusive) - * @param end End index to apply formatting (exclusive) - * @return this - */ - def remove(start: Int, end: Int): TwitterTextRenderer = replace(start, end, "") - - /** - * Replaces text, formatting, and refObject information in the given range. - * @param start Start index to apply formatting (inclusive) - * @param end End index to apply formatting (exclusive) - * @param string The new text to insert - * @param format The [[RichTextFormat]] assigned to the new text - * @param refObject The [[ReferenceObject]] assigned to the new text - * @return this - */ - def replace( - start: Int, - end: Int, - string: String, - format: Option[RichTextFormat] = None, - refObject: Option[ReferenceObject] = None - ): TwitterTextRenderer = { - validateRange(start, end) - - val newEnd = start + string.length - val formatInjectIndex = removeAndOffsetFormats(start, end, string.length) - val refObjectInjectIndex = removeAndOffsetRefObjects(start, end, string.length) - format.foreach { f => - formatBuffer.insert(formatInjectIndex, TwitterTextRendererEntity(start, newEnd, f)) - } - refObject.foreach { r => - refObjectBuffer.insert(refObjectInjectIndex, TwitterTextRendererEntity(start, newEnd, r)) - } - textBuilder.replace(start, end, string) - - this - } - - /** - * Assigns a [[RichTextFormat]] to the given range. Trims existing format ranges that overlap the - * new format range. Removes format ranges that fall within the new range. - * @param start Start index to apply formatting (inclusive) - * @param end End index to apply formatting (exclusive) - * @param format The format to assign - * @return this - */ - def setFormat(start: Int, end: Int, format: RichTextFormat): TwitterTextRenderer = { - validateRange(start, end) - val bufferIndex = removeAndOffsetFormats(start, end, end - start) - formatBuffer.insert(bufferIndex, TwitterTextRendererEntity(start, end, format)) - - this - } - - private[this] def removeAndOffsetFormats(start: Int, end: Int, newSize: Int): Int = { - val newEnd = start + newSize - val offset = newEnd - end - var injectionIndex: Option[Int] = None - - val buffer = mutable.ArrayBuffer[TwitterTextRendererEntity[RichTextFormat]]() - val iterator = formatBuffer.zipWithIndex.reverseIterator - - while (iterator.hasNext && injectionIndex.isEmpty) { - iterator.next match { - case (e, i) if e.startIndex >= end => - buffer.append(e.offset(offset)) - case (e, i) if e.encloses(start, end) => - buffer.append(e.copy(startIndex = newEnd, endIndex = e.endIndex + offset)) - buffer.append(e.copy(endIndex = e.endIndex + offset)) - injectionIndex = Some(i + 1) - case (e, i) if e.endsBetween(start, end) => - buffer.append(e.copy(endIndex = start)) - injectionIndex = Some(i + 1) - case (e, i) if e.startsBetween(start, end) => - buffer.append(e.copy(startIndex = newEnd, endIndex = e.endIndex + offset)) - case (e, i) if e.endIndex <= start => - buffer.append(e) - injectionIndex = Some(i + 1) - case _ => // do nothing - } - } - val index = injectionIndex.map(_ - 1).getOrElse(0) - formatBuffer.remove(index, formatBuffer.length - index) - formatBuffer.appendAll(buffer.reverse) - - injectionIndex.getOrElse(0) - } - - private[this] def validateRange(start: Int, end: Int): Unit = { - require( - start >= 0 && start < textBuilder.length && end > start && end <= textBuilder.length, - s"The start ($start) and end ($end) indexes must be within the text range (0..${textBuilder.length})" - ) - } - - /** - * Assigns a [[ReferenceObject]] to the given range. Since it makes little sense to trim object - * ranges, existing intersecting or overlapping ranges are removed entirely. - * @param start Start index to apply formatting (inclusive) - * @param end End index to apply formatting (exclusive) - * @param refObject The [[ReferenceObject]] to assign - * @return this - */ - def setRefObject(start: Int, end: Int, refObject: ReferenceObject): TwitterTextRenderer = { - validateRange(start, end) - val bufferIndex = removeAndOffsetRefObjects(start, end, end - start) - refObjectBuffer.insert(bufferIndex, TwitterTextRendererEntity(start, end, refObject)) - - this - } - - private[this] def removeAndOffsetRefObjects(start: Int, end: Int, newSize: Int): Int = { - val newEnd = start + newSize - val offset = newEnd - end - var injectionIndex: Option[Int] = None - - val buffer = mutable.ArrayBuffer[TwitterTextRendererEntity[ReferenceObject]]() - val iterator = refObjectBuffer.zipWithIndex.reverseIterator - - while (iterator.hasNext && injectionIndex.isEmpty) { - iterator.next match { - case (e, i) if e.startIndex >= end => buffer.append(e.offset(offset)) - case (e, i) if e.endIndex <= start => injectionIndex = Some(i + 1) - case _ => // do nothing - } - } - val index = injectionIndex.getOrElse(0) - refObjectBuffer.remove(index, refObjectBuffer.length - index) - refObjectBuffer.appendAll(buffer.reverse) - - index - } - - /** - * Builds and returns the full TwitterTextRenderer text with any changes applied to the builder instance. - */ - def text: String = { - textBuilder.mkString - } - - @tailrec - private def buildEntities( - formats: List[TwitterTextRendererEntity[RichTextFormat]], - refs: List[TwitterTextRendererEntity[ReferenceObject]], - acc: List[TwitterTextRendererEntity[_]] = List() - ): Seq[TwitterTextRendererEntity[_]] = { - (formats, refs) match { - case (Nil, Nil) => acc - case (remainingFormats, Nil) => acc ++ remainingFormats - case (Nil, remainingRefs) => acc ++ remainingRefs - - case (format +: remainingFormats, ref +: remainingRefs) - if format.startIndex < ref.startIndex || (format.startIndex == ref.startIndex && format.endIndex < ref.endIndex) => - buildEntities(remainingFormats, refs, acc :+ format) - - case (format +: remainingFormats, ref +: remainingRefs) - if format.startIndex == ref.startIndex && format.endIndex == ref.endIndex => - buildEntities(remainingFormats, remainingRefs, acc :+ format :+ ref) - - case (_, ref +: remainingRefs) => - buildEntities(formats, remainingRefs, acc :+ ref) - } - } -} - -case class TwitterTextRendererEntity[+T] private[richtext] ( - startIndex: Int, - endIndex: Int, - value: T) { - require(startIndex <= endIndex, "startIndex must be <= than endIndex") - - def nonEmpty: Boolean = !isEmpty - - def isEmpty: Boolean = startIndex == endIndex - - private[richtext] def enclosedIn(start: Int, end: Int): Boolean = { - start <= startIndex && endIndex <= end - } - - private[richtext] def encloses(start: Int, end: Int): Boolean = { - startIndex < start && end < endIndex - } - - private[richtext] def endsBetween(start: Int, end: Int): Boolean = { - start < endIndex && endIndex <= end && startIndex < start - } - - private[richtext] def offset(num: Int): TwitterTextRendererEntity[T] = { - copy(startIndex = startIndex + num, endIndex = endIndex + num) - } - - private[richtext] def startsBetween(start: Int, end: Int): Boolean = { - startIndex >= start && startIndex < end && endIndex > end - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextRendererProcessor.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextRendererProcessor.docx new file mode 100644 index 0000000000000000000000000000000000000000..a3fc3bb048e89238e55fb2f48749017124d34fce GIT binary patch literal 36761 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/FeatureSocialContextBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/FeatureSocialContextBuilder.scala deleted file mode 100644 index d96551bc6..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/FeatureSocialContextBuilder.scala +++ /dev/null @@ -1,101 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.social_context - -import com.twitter.product_mixer.core.feature.Feature -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.common.UniversalNoun -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata._ -import com.twitter.product_mixer.core.pipeline.PipelineQuery -import com.twitter.timelines.service.{thriftscala => t} - -/** - * Use this Builder to create Product Mixer [[SocialContext]] objects when you have a - * Timeline Service Thrift [[SocialContext]] feature that you want to convert - */ -case class FeatureSocialContextBuilder( - socialContextFeature: Feature[_, Option[t.SocialContext]]) - extends BaseSocialContextBuilder[PipelineQuery, UniversalNoun[Any]] { - - override def apply( - query: PipelineQuery, - candidate: UniversalNoun[Any], - candidateFeatures: FeatureMap - ): Option[SocialContext] = { - candidateFeatures.getOrElse(socialContextFeature, None).map { - case t.SocialContext.GeneralContext(context) => - val contextType = context.contextType match { - case t.ContextType.Like => LikeGeneralContextType - case t.ContextType.Follow => FollowGeneralContextType - case t.ContextType.Moment => MomentGeneralContextType - case t.ContextType.Reply => ReplyGeneralContextType - case t.ContextType.Conversation => ConversationGeneralContextType - case t.ContextType.Pin => PinGeneralContextType - case t.ContextType.TextOnly => TextOnlyGeneralContextType - case t.ContextType.Facepile => FacePileGeneralContextType - case t.ContextType.Megaphone => MegaPhoneGeneralContextType - case t.ContextType.Bird => BirdGeneralContextType - case t.ContextType.Feedback => FeedbackGeneralContextType - case t.ContextType.Topic => TopicGeneralContextType - case t.ContextType.List => ListGeneralContextType - case t.ContextType.Retweet => RetweetGeneralContextType - case t.ContextType.Location => LocationGeneralContextType - case t.ContextType.Community => CommunityGeneralContextType - case t.ContextType.SmartBlockExpiration => SmartblockExpirationGeneralContextType - case t.ContextType.Trending => TrendingGeneralContextType - case t.ContextType.Sparkle => SparkleGeneralContextType - case t.ContextType.Spaces => SpacesGeneralContextType - case t.ContextType.ReplyPin => ReplyPinGeneralContextType - case t.ContextType.NewUser => NewUserGeneralContextType - case t.ContextType.EnumUnknownContextType(field) => - throw new UnsupportedOperationException(s"Unknown context type: $field") - } - - val landingUrl = context.landingUrl.map { url => - val endpointOptions = url.urtEndpointOptions.map { options => - UrtEndpointOptions( - requestParams = options.requestParams.map(_.toMap), - title = options.title, - cacheId = options.cacheId, - subtitle = options.subtitle - ) - } - - val urlType = url.urlType match { - case t.UrlType.ExternalUrl => ExternalUrl - case t.UrlType.DeepLink => DeepLink - case t.UrlType.UrtEndpoint => UrtEndpoint - case t.UrlType.EnumUnknownUrlType(field) => - throw new UnsupportedOperationException(s"Unknown url type: $field") - } - - Url(urlType = urlType, url = url.url, urtEndpointOptions = endpointOptions) - } - - GeneralContext( - text = context.text, - contextType = contextType, - url = context.url, - contextImageUrls = context.contextImageUrls.map(_.toList), - landingUrl = landingUrl - ) - case t.SocialContext.TopicContext(context) => - val functionalityType = context.functionalityType match { - case t.TopicContextFunctionalityType.Basic => - BasicTopicContextFunctionalityType - case t.TopicContextFunctionalityType.Recommendation => - RecommendationTopicContextFunctionalityType - case t.TopicContextFunctionalityType.RecWithEducation => - RecWithEducationTopicContextFunctionalityType - case t.TopicContextFunctionalityType.EnumUnknownTopicContextFunctionalityType(field) => - throw new UnsupportedOperationException(s"Unknown functionality type: $field") - } - - TopicContext( - topicId = context.topicId, - functionalityType = Some(functionalityType) - ) - case t.SocialContext.UnknownUnionField(field) => - throw new UnsupportedOperationException(s"Unknown social context: $field") - } - } -} diff --git 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com.twitter.product_mixer.component_library.decorator.urt.builder.social_context - -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.metadata.BaseModuleStr -import com.twitter.product_mixer.core.functional_component.decorator.urt.builder.social_context.BaseModuleSocialContextBuilder -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.marshalling.response.urt.metadata.GeneralContext -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.GeneralContextType -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Url -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -/** - * This class works the same as [[GeneralSocialContextBuilder]] but passes a list of candidates - * into [[BaseModuleStr]] when rendering the string. - */ -case class GeneralModuleSocialContextBuilder[ - -Query <: PipelineQuery, - -Candidate <: UniversalNoun[Any] -]( - textBuilder: BaseModuleStr[Query, Candidate], - contextType: GeneralContextType, - url: Option[String] = None, - contextImageUrls: Option[List[String]] = None, - landingUrl: Option[Url] = None) - extends BaseModuleSocialContextBuilder[Query, Candidate] { - - def apply( - query: Query, - candidates: Seq[CandidateWithFeatures[Candidate]] - ): Option[GeneralContext] = - Some( - GeneralContext( - text = textBuilder(query, candidates), - contextType = contextType, - url = url, - contextImageUrls = contextImageUrls, - landingUrl = landingUrl)) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/GeneralSocialContextBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/GeneralSocialContextBuilder.docx new file mode 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VfHx~J2Z3^xAVVTBdj$7_cmRGpsYU<* literal 0 HcmV?d00001 diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/WhoToFollowSocialContextBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/WhoToFollowSocialContextBuilder.scala deleted file mode 100644 index edcc07fcd..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/social_context/WhoToFollowSocialContextBuilder.scala +++ /dev/null @@ -1,48 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.social_context - -import com.twitter.hermit.{thriftscala => h} -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.functional_component.decorator.urt.builder.social_context.BaseSocialContextBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.FollowGeneralContextType -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.GeneralContext -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.GeneralContextType -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.LocationGeneralContextType -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.NewUserGeneralContextType -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -case class WhoToFollowSocialContextBuilder( - socialTextFeature: Feature[_, Option[String]], - contextTypeFeature: Feature[_, Option[h.ContextType]]) - extends BaseSocialContextBuilder[PipelineQuery, UserCandidate] { - - def apply( - query: PipelineQuery, - candidate: UserCandidate, - candidateFeatures: FeatureMap - ): Option[GeneralContext] = { - val socialTextOpt = candidateFeatures.getOrElse(socialTextFeature, None) - val contextTypeOpt = convertContextType(candidateFeatures.getOrElse(contextTypeFeature, None)) - - (socialTextOpt, contextTypeOpt) match { - case (Some(socialText), Some(contextType)) if socialText.nonEmpty => - Some( - GeneralContext( - text = socialText, - contextType = contextType, - url = None, - contextImageUrls = None, - landingUrl = None)) - case _ => None - } - } - - private def convertContextType(contextType: Option[h.ContextType]): Option[GeneralContextType] = - contextType match { - case Some(h.ContextType.Geo) => Some(LocationGeneralContextType) - case Some(h.ContextType.Social) => Some(FollowGeneralContextType) - case Some(h.ContextType.NewUser) => Some(NewUserGeneralContextType) - case _ => None - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/stringcenter/ModuleStr.docx 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com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ExternalUrl -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Url -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.UrlType -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichText -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextAlignment -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextEntity -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.Strong - -/* - * RichTextMarkupUtil facilitates building a Product Mixer URT RichText object out of - * a string with inline XML markup. - * - * This allows us to use a string like "Our system Product Mixer is the best". Using - * inline markup like this is advantageous since the string can go through translation/localization and the - * translators will move the tags around in each language as appropriate. - * - * This class is derived from the OCF (onboarding/serve)'s RichTextUtil, but they diverge because: - * - We generate ProMix URT structures, not OCF URT structures - * - The OCF supports some internal OCF tags, like - * - The OCF has additional legacy support and processing that we don't need - */ - -object RichTextMarkupUtil { - - // Matches a anchor element, extracting the 'a' tag and the display text. - // First group is the tag - // Second group is the display text - // Allows any character in the display text, but matches reluctantly - private val LinkAnchorRegex = """(?i)(?s)(.*?)""".r - - // Matches a bold text section - private val BoldRegex = """(?i)(?s)(.*?)""".r - - def richTextFromMarkup( - text: String, - linkMap: Map[String, String], - rtl: Option[Boolean] = None, - alignment: Option[RichTextAlignment] = None, - linkTypeMap: Map[String, UrlType] = Map.empty - ): RichText = { - - // Mutable! - var currentText = text - val entities = scala.collection.mutable.ArrayBuffer.empty[RichTextEntity] - - // Using a while loop since we want to execute the regex after each iteration, so our indexes remain consistent - - // Handle Links - var matchOpt = LinkAnchorRegex.findFirstMatchIn(currentText) - while (matchOpt.isDefined) { - matchOpt.foreach { linkMatch => - val tag = linkMatch.group(1) - val displayText = linkMatch.group(2) - - currentText = currentText.substring(0, linkMatch.start) + displayText + currentText - .substring(linkMatch.end) - - adjustEntities( - entities, - linkMatch.start, - linkMatch.end - (linkMatch.start + displayText.length)) - - entities.append( - RichTextEntity( - fromIndex = linkMatch.start, - toIndex = linkMatch.start + displayText.length, - ref = linkMap.get(tag).map { url => - Url( - urlType = linkTypeMap.getOrElse(tag, ExternalUrl), - url = url - ) - }, - format = None - ) - ) - } - matchOpt = LinkAnchorRegex.findFirstMatchIn(currentText) - } - - // Handle Bold - matchOpt = BoldRegex.findFirstMatchIn(currentText) - while (matchOpt.isDefined) { - matchOpt.foreach { boldMatch => - val text = boldMatch.group(1) - - currentText = - currentText.substring(0, boldMatch.start) + text + currentText.substring(boldMatch.end) - - adjustEntities(entities, boldMatch.start, boldMatch.end - (boldMatch.start + text.length)) - - entities.append( - RichTextEntity( - fromIndex = boldMatch.start, - toIndex = boldMatch.start + text.length, - ref = None, - format = Some(Strong), - ) - ) - } - - matchOpt = BoldRegex.findFirstMatchIn(currentText) - } - - RichText( - currentText, - entities.sortBy(_.fromIndex).toList, // always return immutable copies! - rtl, - alignment - ) - } - - /* When we create a new entity, we need to adjust - * any already existing entities that have been moved. - * Entities cannot overlap, so we can just compare start positions. - */ - private def adjustEntities( - entities: scala.collection.mutable.ArrayBuffer[RichTextEntity], - start: Int, - length: Int - ): Unit = { - for (i <- entities.indices) { - if (entities(i).fromIndex > start) { - val old = entities(i) - entities.update( - i, - entities(i).copy( - fromIndex = old.fromIndex - length, - toIndex = old.toIndex - length - )) - } - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextReferenceObjectBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextReferenceObjectBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..b55a829ba5b12360edf6c3181f4a44833e5da302 GIT binary patch literal 36823 zcmagFbzGd;vNeora1HM6?hb+A?h@P^cNz~690CM)cXxLW!QFxccbB&_Gv}O{bMO7W ze;$79UA5M#s%`!BZY5brC`>RgFgP%R6mG2wm4diLa4@h@7%(slP^+#uz~05o-o;SO 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/dev/null @@ -1,8 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.richtext - -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.ReferenceObject -import com.twitter.twittertext.Extractor - -trait RichTextReferenceObjectBuilder { - def apply(entity: Extractor.Entity): Option[ReferenceObject] -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextRtlOptionBuilder.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextRtlOptionBuilder.docx new file mode 100644 index 0000000000000000000000000000000000000000..f9e6bdb6688a692af84b3eb511524f1f295fa75f GIT binary patch literal 36855 zcmagFWmp~Awl<2pdvJGmcL*f7I|L27aA)BGf_rdxcL?qdA-G$RKw#l6-%5Ayy}S20 z=iWcX!<=KhGDg*`Sw*4p9vTJ*0s;a7f;f#&r%J6TJ{b}MVhj!f0vkN4F9mRLwQz7X 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextRtlOptionBuilder.scala b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextRtlOptionBuilder.scala deleted file mode 100644 index 6fc39d5a4..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/RichTextRtlOptionBuilder.scala +++ /dev/null @@ -1,12 +0,0 @@ -package com.twitter.product_mixer.component_library.decorator.urt.builder.richtext - -import com.twitter.product_mixer.core.pipeline.PipelineQuery - -trait RichTextRtlOptionBuilder[-Query <: PipelineQuery] { - def apply(query: Query): Option[Boolean] -} - -case class StaticRichTextRtlOptionBuilder[-Query <: PipelineQuery](rtlOption: Option[Boolean]) - extends RichTextRtlOptionBuilder[Query] { - override def apply(query: Query): Option[Boolean] 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-import com.twitter.product_mixer.component_library.decorator.urt.builder.richtext.RichTextReferenceObjectBuilder -import com.twitter.product_mixer.component_library.decorator.urt.builder.richtext.twitter_text.TwitterTextEntityProcessor.DefaultReferenceObjectBuilder -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.ExternalUrl -import com.twitter.product_mixer.core.model.marshalling.response.urt.metadata.Url -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.ReferenceObject -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextCashtag -import com.twitter.product_mixer.core.model.marshalling.response.urt.richtext.RichTextHashtag -import com.twitter.twittertext.Extractor -import scala.collection.convert.ImplicitConversions._ - -object TwitterTextEntityProcessor { - object DefaultReferenceObjectBuilder extends RichTextReferenceObjectBuilder { - def apply(twitterEntity: Extractor.Entity): Option[ReferenceObject] = { - twitterEntity.getType match { - case Extractor.Entity.Type.URL => - Some(Url(ExternalUrl, twitterEntity.getValue)) - case Extractor.Entity.Type.HASHTAG => - Some(RichTextHashtag(twitterEntity.getValue)) - case Extractor.Entity.Type.CASHTAG => - Some(RichTextCashtag(twitterEntity.getValue)) - case _ => None - } - } - } -} - -/** - * Add the corresponding [[RichTextEntity]] extraction logic into [[TwitterTextRenderer]]. - * The [[TwitterTextRenderer]] after being processed will extract the defined entities. - */ -case class TwitterTextEntityProcessor( - twitterTextReferenceObjectBuilder: RichTextReferenceObjectBuilder = DefaultReferenceObjectBuilder) - extends TwitterTextRendererProcessor { - - private[this] val extractor = new Extractor() - - def process( - twitterTextRenderer: TwitterTextRenderer - ): TwitterTextRenderer = { - val twitterEntities = extractor.extractEntitiesWithIndices(twitterTextRenderer.text) - - twitterEntities.foreach { twitterEntity => - twitterTextReferenceObjectBuilder(twitterEntity).foreach { refObject => - twitterTextRenderer.setRefObject(twitterEntity.getStart, twitterEntity.getEnd, refObject) - } - } - twitterTextRenderer - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextFormatProcessor.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextFormatProcessor.docx new file mode 100644 index 0000000000000000000000000000000000000000..dcdfabf0b820c2ed0bc274e4ebe5b9726cb9cd5d GIT binary patch literal 37617 zcmagFb9`Of);}EEZfx6j(%5#xhC66%HMSbtwrw|!Z8T|Y|8~zg_ug~v^E~hS&&nrr zj`779Yp*%i+G{Jxfn zIq5UH+1fNF$t$i3qkKJo#Y|=rB=!_T#w^>hr?#h$!xgVizvb3mVmg%rd%U0E4O5>{ z3V~vb%SgTVCS0u(=<;f!)D;sy)z{C^%qIme_R3$+V>~nG+LwqUkzSPAC72t8s%gpa 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formatNames = formatMap.keys.toSet - s"<(/?)(${formatNames.mkString("|")})>".r - } - - def renderText(text: String): RichText = { - process(TwitterTextRenderer(text)).build - } - - def process(richTextBuilder: TwitterTextRenderer): TwitterTextRenderer = { - val text = richTextBuilder.text - val nodeStack = mutable.ArrayStack[(RichTextFormat, Int)]() - var offset = 0 - - formatMatcher.findAllMatchIn(text).foreach { m => - formatMap.get(m.group(2)) match { - case Some(format) => { - if (m.group(1).nonEmpty) { - if (!nodeStack.headOption.exists { - case (formatFromStack, _) => formatFromStack == format - }) { - throw UnmatchedFormatTag(format) - } - val (_, startIndex) = nodeStack.pop - richTextBuilder.mergeFormat(startIndex, m.start + offset, format) - } else { - nodeStack.push((format, m.start + offset)) - } - richTextBuilder.remove(m.start + offset, m.end + offset) - offset -= m.end - m.start - } - case _ => // if format is not found, skip this format - } - } - - if (nodeStack.nonEmpty) { - throw UnmatchedFormatTag(nodeStack.head._1) - } - - richTextBuilder - } -} - -case class UnmatchedFormatTag(format: RichTextFormat) - extends Exception(s"Unmatched format start and end tags for $format") diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextRenderer.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/decorator/urt/builder/richtext/twitter_text/TwitterTextRenderer.docx new file mode 100644 index 0000000000000000000000000000000000000000..8a649a56a1b499c391a6fdb00163db6b463b4b5c GIT binary patch literal 40040 zcmagE19W8F)-D{gV|Hw#V|9#9I<~D2E4FRhwr$(#*tYHDrr-CR@8G-l|Hr7YYt&kM z&IfZ>t+i)u8F5fBR3IQAC?K3LUG_1jy6F7-z8Jv`iob zU36OVgFD_z4R?oI1DU#@(3z%YnsP1?XrWu~S`OX05!;?{G@;mn=nn2|KSWhin%mb& zR^V?tRlS_r$o>}sS!zDPP;%TO;6atS(`?yo#8wJ&$3x^h)W7yd 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a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/cr_mixer/CrMixerTweetRecommendationsCandidateSource.scala +++ /dev/null @@ -1,21 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.cr_mixer - -import com.twitter.cr_mixer.{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 javax.inject.Inject -import javax.inject.Singleton - -@Singleton -class CrMixerTweetRecommendationsCandidateSource @Inject() ( - crMixerClient: t.CrMixer.MethodPerEndpoint) - extends CandidateSource[t.CrMixerTweetRequest, t.TweetRecommendation] { - - override val identifier: CandidateSourceIdentifier = - CandidateSourceIdentifier("CrMixerTweetRecommendations") - - override def apply(request: t.CrMixerTweetRequest): Stitch[Seq[t.TweetRecommendation]] = Stitch - .callFuture(crMixerClient.getTweetRecommendations(request)) - .map(_.tweets) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/earlybird/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/earlybird/BUILD.bazel deleted file mode 100644 index 638f549d3..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/earlybird/BUILD.bazel +++ /dev/null @@ -1,12 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "finatra/inject/inject-core/src/main/scala/com/twitter/inject", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - "src/thrift/com/twitter/search:earlybird-scala", - "stitch/stitch-core", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/earlybird/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/earlybird/BUILD.docx new file mode 100644 index 0000000000000000000000000000000000000000..a8b309e037441dddfcedc6809476f7b8a8fe3cf6 GIT binary patch literal 36865 zcmagEWmp}_wm*!!dvFQv?k<4@cXzjqI~xxW+=IKjySsnCefS6BBg#ZQn>SYTjaaA0_;+?tijg>gyXU|?e~U|^V_RvmGGy^EQ>i-D@A zgPF4)lZTycW0IW0stDTW(`W2tW+75hx9cVCMq3qiDNyz42^tp$YP)T^*p8%bM8IKI5L?<>0P3^L71AB z44-$?T;MFbHT`@B7$K)(Iog3qn)hJQ)Ri&n7$id>aLR&X&|%g2Gu*iy6b`D&ha=Rx z^p<;Lif+#ne(vP=;{K9Z&r3{H>X|m_2yFp8U&9U0)TBNeHpCA&*Sby8*E?CLIo7TA z7NU3zAp+38|FG*}av#@VKZL0(jl5FP-oUU9`Ed-e38t!<{Rx?+@oLYXbF`{XZ`q-( z6|L%Pbr>X#?{zDVl5x}%NK0K$rk4nl#?}#2=@We0e|t+?81r7}ekn}o<819KO9H8*L`8`=%l;F94x 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t.EarlybirdService.MethodPerEndpoint) - extends CandidateSource[t.EarlybirdRequest, t.ThriftSearchResult] - with Logging { - - override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier("EarlybirdTweets") - - override def apply(request: t.EarlybirdRequest): Stitch[Seq[t.ThriftSearchResult]] = { - Stitch - .callFuture(earlybirdService.search(request)) - .map { response: t.EarlybirdResponse => - response.searchResults.map(_.results).getOrElse(Seq.empty) - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/explore_ranker/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/explore_ranker/BUILD.bazel deleted file mode 100644 index 6633be199..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/explore_ranker/BUILD.bazel +++ /dev/null @@ -1,12 +0,0 @@ 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CandidateSourceIdentifier("ExploreRanker") - - override def apply( - request: t.ExploreRankerRequest - ): Stitch[Seq[t.ImmersiveRecsResult]] = { - Stitch - .callFuture(exploreRankerService.getRankedResults(request)) - .map { - case t.ExploreRankerResponse( - t.ExploreRankerProductResponse - .ImmersiveRecsResponse(t.ImmersiveRecsResponse(immersiveRecsResults))) => - immersiveRecsResults - case response => - throw new UnsupportedOperationException(s"Unknown response type: $response") - } - } -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/BUILD deleted file mode 100644 index b456956db..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/BUILD +++ /dev/null @@ -1,17 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - platform = "java8", - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "finatra/inject/inject-core/src/main/scala/com/twitter/inject", - "onboarding/service/thrift/src/main/thrift:thrift-scala", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - "stitch/stitch-core", - ], - exports = [ - "onboarding/service/thrift/src/main/thrift:thrift-scala", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/BUILD.docx new file mode 100644 index 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b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/PromptCandidateSource.scala deleted file mode 100644 index 48891d7ec..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/flexible_injection_pipeline/PromptCandidateSource.scala +++ /dev/null @@ -1,50 +0,0 @@ -package com.twitter.product_mixer.component_library.candidate_source.flexible_injection_pipeline - -import com.twitter.inject.Logging -import com.twitter.onboarding.injections.{thriftscala => injectionsthrift} -import com.twitter.onboarding.task.service.{thriftscala => servicethrift} -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 - -/** - * Returns a list of prompts to insert into a user's timeline (inline prompt, cover modals, etc) - * from go/flip (the prompting platform for Twitter). - */ -@Singleton -class PromptCandidateSource @Inject() (taskService: servicethrift.TaskService.MethodPerEndpoint) - extends CandidateSource[servicethrift.GetInjectionsRequest, IntermediatePrompt] - with Logging { - - override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier( - "InjectionPipelinePrompts") - - override def apply( - request: servicethrift.GetInjectionsRequest - ): Stitch[Seq[IntermediatePrompt]] = { - Stitch - .callFuture(taskService.getInjections(request)).map { - _.injections.flatMap { - // The entire carousel is getting added to each IntermediatePrompt item with a - // corresponding index to be unpacked later on to populate its TimelineEntry counterpart. - case injection: injectionsthrift.Injection.TilesCarousel => - injection.tilesCarousel.tiles.zipWithIndex.map { - case (tile: injectionsthrift.Tile, index: Int) => - IntermediatePrompt(injection, Some(index), Some(tile)) - } - case injection => Seq(IntermediatePrompt(injection, None, None)) - } - } - } -} - -/** - * Gives an intermediate step to help 'explosion' of tile carousel tiles due to TimelineModule - * not being an extension of TimelineItem - */ -case class IntermediatePrompt( - injection: injectionsthrift.Injection, - offsetInModule: Option[Int], - carouselTile: Option[injectionsthrift.Tile]) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/hermit/BUILD.bazel b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/hermit/BUILD.bazel deleted file mode 100644 index c6bcf152a..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/hermit/BUILD.bazel +++ /dev/null @@ -1,16 +0,0 @@ -scala_library( - sources = ["*.scala"], - compiler_option_sets = ["fatal_warnings"], - strict_deps = True, - tags = ["bazel-compatible"], - dependencies = [ - "3rdparty/jvm/javax/inject:javax.inject", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - "src/thrift/com/twitter/hermit:hermit-scala", - "strato/config/columns/onboarding:onboarding-strato-client", - ], - exports = [ - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source/strato", - "src/thrift/com/twitter/hermit:hermit-scala", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/hermit/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/hermit/BUILD.docx new file mode 100644 index 0000000000000000000000000000000000000000..3213a4f1021d715b988e5dc5ad17c0c66ec102b8 GIT binary patch literal 36911 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com.twitter.product_mixer.core.functional_component.candidate_source.strato.StratoKeyViewFetcherSource -import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier -import com.twitter.strato.client.Fetcher -import com.twitter.strato.generated.client.onboarding.HermitRecommendUsersClientColumn -import javax.inject.Inject -import javax.inject.Singleton - -@Singleton -class UsersSimilarToMeCandidateSource @Inject() ( - column: HermitRecommendUsersClientColumn) - extends StratoKeyViewFetcherSource[ - Long, - RecommendationRequest, - RecommendationResponse, - RelatedUser - ] { - - override val identifier: CandidateSourceIdentifier = CandidateSourceIdentifier("UsersSimilarToMe") - - override val fetcher: Fetcher[Long, RecommendationRequest, RecommendationResponse] = - column.fetcher - - override def stratoResultTransformer( - stratoKey: Long, - result: RecommendationResponse - ): Seq[RelatedUser] = result.suggestions.getOrElse(Seq.empty).filter(_.id.isDefined) -} diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/interest_discovery/BUILD b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/interest_discovery/BUILD deleted file mode 100644 index da4c6d794..000000000 --- a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/interest_discovery/BUILD +++ /dev/null @@ -1,18 +0,0 @@ -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/com/twitter/inject", - "interests-service/thrift/src/main/thrift:thrift-scala", - "interests_discovery/thrift/src/main/thrift:service-thrift-scala", - "product-mixer/core/src/main/scala/com/twitter/product_mixer/core/functional_component/candidate_source", - "stitch/stitch-core", - ], - exports = [ - "interests-service/thrift/src/main/thrift:thrift-scala", - "interests_discovery/thrift/src/main/thrift:service-thrift-scala", - ], -) diff --git a/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/interest_discovery/BUILD.docx b/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/candidate_source/interest_discovery/BUILD.docx new file mode 100644 index 0000000000000000000000000000000000000000..3b9ac5b80286d1f5b95f31c7abdfbd102de8d544 GIT binary patch literal 36923 zcmagFWmsIvwm*z(a1HM6?hb+A?h-U;<4)rNf_rdxcL?qdA-G$RK%jA#e`jXSIWy