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36 lines
1.5 KiB
Scala
36 lines
1.5 KiB
Scala
package com.twitter.home_mixer.functional_component.feature_hydrator
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import com.twitter.home_mixer.param.HomeMixerInjectionNames.UserLanguagesStore
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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.QueryFeatureHydrator
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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.search.common.constants.{thriftscala => scc}
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import com.twitter.stitch.Stitch
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import com.twitter.storehaus.ReadableStore
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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 UserLanguagesFeature extends Feature[PipelineQuery, Seq[scc.ThriftLanguage]]
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@Singleton
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case class UserLanguagesFeatureHydrator @Inject() (
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@Named(UserLanguagesStore) store: ReadableStore[Long, Seq[scc.ThriftLanguage]])
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extends QueryFeatureHydrator[PipelineQuery] {
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override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("UserLanguages")
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override val features: Set[Feature[_, _]] = Set(UserLanguagesFeature)
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override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = {
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Stitch.callFuture(store.get(query.getRequiredUserId)).map { languages =>
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FeatureMapBuilder()
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.add(UserLanguagesFeature, languages.getOrElse(Seq.empty))
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.build()
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}
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}
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}
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