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37 lines
1.4 KiB
Scala
37 lines
1.4 KiB
Scala
package com.twitter.follow_recommendations.common.candidate_sources.sims
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import com.google.inject.Singleton
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import com.twitter.finagle.stats.StatsReceiver
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import com.twitter.hermit.model.Algorithm
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import com.twitter.product_mixer.core.model.common.identifier.CandidateSourceIdentifier
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import com.twitter.strato.generated.client.recommendations.similarity.SimilarUsersBySimsExperimentalOnUserClientColumn
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import com.twitter.util.Duration
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import javax.inject.Inject
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@Singleton
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class SimsExperimentalStore @Inject() (
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simsExperimentalOnUserClientColumn: SimilarUsersBySimsExperimentalOnUserClientColumn)
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extends StratoBasedSimsCandidateSourceWithUnitView(
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fetcher = simsExperimentalOnUserClientColumn.fetcher,
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identifier = SimsExperimentalStore.Identifier
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)
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@Singleton
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class CachedSimsExperimentalStore @Inject() (
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simsExperimentalOnUserClientColumn: SimilarUsersBySimsExperimentalOnUserClientColumn,
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statsReceiver: StatsReceiver)
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extends CacheBasedSimsStore(
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id = SimsExperimentalStore.Identifier,
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fetcher = simsExperimentalOnUserClientColumn.fetcher,
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maxCacheSize = SimsExperimentalStore.MaxCacheSize,
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cacheTtl = SimsExperimentalStore.CacheTTL,
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statsReceiver = statsReceiver.scope("CachedSimsExperimentalStore", "cache")
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)
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object SimsExperimentalStore {
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val Identifier = CandidateSourceIdentifier(Algorithm.Sims.toString)
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val MaxCacheSize = 1000
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val CacheTTL: Duration = Duration.fromHours(12)
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}
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