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85 lines
3.0 KiB
Scala
85 lines
3.0 KiB
Scala
package com.twitter.home_mixer.functional_component.feature_hydrator
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import com.twitter.finagle.stats.StatsReceiver
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import com.twitter.home_mixer.model.HomeFeatures.AuthorIdFeature
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import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserFollowedTopicIdsRepository
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import com.twitter.home_mixer.util.ObservedKeyValueResultHandler
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import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate
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import com.twitter.product_mixer.core.feature.Feature
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import com.twitter.product_mixer.core.feature.featuremap.FeatureMap
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import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder
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import com.twitter.product_mixer.core.functional_component.feature_hydrator.BulkCandidateFeatureHydrator
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import com.twitter.product_mixer.core.model.common.CandidateWithFeatures
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import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier
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import com.twitter.product_mixer.core.pipeline.PipelineQuery
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import com.twitter.servo.keyvalue.KeyValueResult
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import com.twitter.servo.repository.KeyValueRepository
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import com.twitter.stitch.Stitch
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import com.twitter.util.Future
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import com.twitter.util.Try
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import javax.inject.Inject
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import javax.inject.Named
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import javax.inject.Singleton
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object UserFollowedTopicIdsFeature extends Feature[TweetCandidate, Seq[Long]]
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@Singleton
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class UserFollowedTopicIdsFeatureHydrator @Inject() (
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@Named(UserFollowedTopicIdsRepository)
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client: KeyValueRepository[Seq[Long], Long, Seq[Long]],
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override val statsReceiver: StatsReceiver)
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extends BulkCandidateFeatureHydrator[PipelineQuery, TweetCandidate]
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with ObservedKeyValueResultHandler {
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override val identifier: FeatureHydratorIdentifier =
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FeatureHydratorIdentifier("UserFollowedTopicIds")
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override val features: Set[Feature[_, _]] = Set(UserFollowedTopicIdsFeature)
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override val statScope: String = identifier.toString
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override def apply(
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query: PipelineQuery,
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candidates: Seq[CandidateWithFeatures[TweetCandidate]]
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): Stitch[Seq[FeatureMap]] = {
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Stitch.callFuture {
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val possiblyAuthorIds = extractKeys(candidates)
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val authorIds = possiblyAuthorIds.flatten
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val response: Future[KeyValueResult[Long, Seq[Long]]] =
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if (authorIds.isEmpty) {
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Future.value(KeyValueResult.empty)
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} else {
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client(authorIds)
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}
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response.map { result =>
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possiblyAuthorIds.map { possiblyAuthorId =>
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val value = observedGet(key = possiblyAuthorId, keyValueResult = result)
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val transformedValue = postTransformer(value)
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FeatureMapBuilder()
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.add(UserFollowedTopicIdsFeature, transformedValue)
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.build()
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}
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}
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}
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}
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private def postTransformer(input: Try[Option[Seq[Long]]]): Try[Seq[Long]] = {
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input.map(_.getOrElse(Seq.empty[Long]))
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}
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private def extractKeys(
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candidates: Seq[CandidateWithFeatures[TweetCandidate]]
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): Seq[Option[Long]] = {
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candidates.map { candidate =>
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candidate.features
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.getTry(AuthorIdFeature)
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.toOption
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.flatten
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}
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}
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}
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