the-algorithm/product-mixer/component-library/src/main/scala/com/twitter/product_mixer/component_library/feature_hydrator/query/impressed_tweets/ImpressedTweetsQueryFeatureHydrator.scala
twitter-team ef4c5eb65e Twitter Recommendation Algorithm
Please note we have force-pushed a new initial commit in order to remove some publicly-available Twitter user information. Note that this process may be required in the future.
2023-03-31 17:36:31 -05:00

58 lines
2.3 KiB
Scala

package com.twitter.product_mixer.component_library.feature_hydrator.query.impressed_tweets
import com.twitter.product_mixer.core.feature.Feature
import com.twitter.product_mixer.core.feature.FeatureWithDefaultOnFailure
import com.twitter.product_mixer.core.feature.featuremap.FeatureMap
import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder
import com.twitter.product_mixer.core.functional_component.feature_hydrator.QueryFeatureHydrator
import com.twitter.product_mixer.core.model.common.identifier.FeatureHydratorIdentifier
import com.twitter.product_mixer.core.pipeline.PipelineQuery
import com.twitter.stitch.Stitch
import com.twitter.storehaus.ReadableStore
import com.twitter.timelines.impressionstore.thriftscala.ImpressionList
import com.twitter.util.Future
import javax.inject.Inject
import javax.inject.Singleton
/**
* Query Feature to store ids of the tweets impressed by the user.
*/
case object ImpressedTweets extends FeatureWithDefaultOnFailure[PipelineQuery, Seq[Long]] {
override val defaultValue: Seq[Long] = Seq.empty
}
/**
* Enrich the query with a list of tweet ids that the user has already seen.
*/
@Singleton
case class ImpressedTweetsQueryFeatureHydrator @Inject() (
tweetImpressionStore: ReadableStore[Long, ImpressionList])
extends QueryFeatureHydrator[PipelineQuery] {
override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("TweetsToExclude")
override val features: Set[Feature[_, _]] = Set(ImpressedTweets)
override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = {
query.getOptionalUserId match {
case Some(userId) =>
val featureMapResult: Future[FeatureMap] = tweetImpressionStore
.get(userId).map { impressionListOpt =>
val tweetIdsOpt = for {
impressionList <- impressionListOpt
impressions <- impressionList.impressions
} yield {
impressions.map(_.tweetId)
}
val tweetIds = tweetIdsOpt.getOrElse(Seq.empty)
FeatureMapBuilder().add(ImpressedTweets, tweetIds).build()
}
Stitch.callFuture(featureMapResult)
// Non-logged-in users do not have userId, returns empty feature
case None =>
val featureMapResult = FeatureMapBuilder().add(ImpressedTweets, Seq.empty).build()
Stitch.value(featureMapResult)
}
}
}