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39 lines
1.6 KiB
Scala
39 lines
1.6 KiB
Scala
package com.twitter.home_mixer.functional_component.feature_hydrator
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import com.twitter.home_mixer.model.HomeFeatures.FeedbackHistoryFeature
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import com.twitter.home_mixer.param.HomeGlobalParams.EnableFeedbackFatigueParam
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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.Conditionally
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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.stitch.Stitch
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import com.twitter.timelinemixer.clients.feedback.FeedbackHistoryManhattanClient
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import javax.inject.Inject
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import javax.inject.Singleton
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@Singleton
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case class FeedbackHistoryQueryFeatureHydrator @Inject() (
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feedbackHistoryClient: FeedbackHistoryManhattanClient)
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extends QueryFeatureHydrator[PipelineQuery]
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with Conditionally[PipelineQuery] {
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override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("FeedbackHistory")
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override val features: Set[Feature[_, _]] = Set(FeedbackHistoryFeature)
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override def onlyIf(query: PipelineQuery): Boolean =
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query.params(EnableFeedbackFatigueParam)
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override def hydrate(
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query: PipelineQuery
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): Stitch[FeatureMap] =
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Stitch
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.callFuture(feedbackHistoryClient.get(query.getRequiredUserId))
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.map { feedbackHistory =>
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FeatureMapBuilder().add(FeedbackHistoryFeature, feedbackHistory).build()
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}
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}
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