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93 lines
3.2 KiB
Thrift
93 lines
3.2 KiB
Thrift
namespace java com.twitter.simclusters_v2.thriftjava
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namespace py gen.twitter.simclusters_v2.online_store
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#@namespace scala com.twitter.simclusters_v2.thriftscala
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#@namespace strato com.twitter.simclusters_v2
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include "entity.thrift"
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include "com/twitter/algebird_internal/algebird.thrift"
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/**
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* A SimClusters model version.
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**/
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enum ModelVersion {
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MODEL_20M_145K_dec11 = 1, // DEPRECATED
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MODEL_20M_145K_updated = 2, // DEPRECATED
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MODEL_20M_145K_2020 = 3,
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RESERVED_4 = 4,
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RESERVED_5 = 5,
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RESERVED_6 = 6
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}(persisted = 'true', hasPersonalData = 'false')
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/**
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* Uniquely identifies a SimCluster. All fields are required as this is used as a memcache key.
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**/
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struct FullClusterId {
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1: required ModelVersion modelVersion
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2: required i32 clusterId
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}(persisted='true', hasPersonalData = 'false')
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/**
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* Contains a set of scores per cluster.
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**/
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struct Scores {
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1: optional algebird.DecayedValue favClusterNormalized8HrHalfLifeScore
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2: optional algebird.DecayedValue followClusterNormalized8HrHalfLifeScore
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}(hasPersonalData = 'false')
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/**
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* A combination of entity and model. All fields are required as this is used as a memcache key.
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**/
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struct EntityWithVersion {
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1: required entity.SimClusterEntity entity
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2: required ModelVersion version
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}(hasPersonalData = 'true')
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/**
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* Contains top K clusters with corresponding scores. We're representing clusters purely using ints, and
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* omitting the modelVersion, since that is included in the memcache key.
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**/
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struct TopKClustersWithScores {
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1: optional map<i32, Scores> topClustersByFavClusterNormalizedScore(personalDataTypeKey = 'InferredInterests')
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2: optional map<i32, Scores> topClustersByFollowClusterNormalizedScore(personalDataTypeKey = 'InferredInterests')
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}(hasPersonalData = 'true')
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/**
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* Contains top K text entities with corresponding scores. We're omitting the modelVersion,
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* since that is included in the memcache key.
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**/
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struct TopKEntitiesWithScores {
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1: optional map<entity.TweetTextEntity, Scores> topEntitiesByFavClusterNormalizedScore
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2: optional map<entity.TweetTextEntity, Scores> topEntitiesByFollowClusterNormalizedScore
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}(hasPersonalData = 'true')
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/**
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* Contains top K tweets with corresponding scores. We're omitting the modelVersion,
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* since that is included in the memcache key.
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**/
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struct TopKTweetsWithScores {
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1: optional map<i64, Scores> topTweetsByFavClusterNormalizedScore(personalDataTypeKey='TweetId')
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2: optional map<i64, Scores> topTweetsByFollowClusterNormalizedScore(personalDataTypeKey='TweetId')
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}(hasPersonalData = 'true')
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/**
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* Contains FullClusterId and the corresponding top K tweets and scores.
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**/
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struct ClusterIdToTopKTweetsWithScores {
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1: required FullClusterId clusterId
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2: required TopKTweetsWithScores topKTweetsWithScores
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}(hasPersonalData = 'true')
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/**
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* Contains a map of Model Version to top K clusters with corresponding scores.
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**/
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struct MultiModelTopKClustersWithScores {
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1: optional map<ModelVersion, TopKClustersWithScores> multiModelTopKClustersWithScores
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}(hasPersonalData = 'true')
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/**
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* Contains a map of Model Version top K tweets with corresponding scores.
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**/
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struct MultiModelTopKTweetsWithScores {
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1: optional map<ModelVersion, TopKTweetsWithScores> multiModelTopKTweetsWithScores
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}(hasPersonalData = 'true')
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