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38 lines
1.6 KiB
Scala
38 lines
1.6 KiB
Scala
package com.twitter.product_mixer.component_library.feature_hydrator.query.cr_ml_ranker
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import com.twitter.cr_ml_ranker.{thriftscala => t}
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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.stitch.Stitch
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object CrMlRankerCommonFeatures extends Feature[PipelineQuery, t.CommonFeatures]
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object CrMlRankerRankingConfig extends Feature[PipelineQuery, t.RankingConfig]
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private[cr_ml_ranker] class CrMlRankerCommonQueryFeatureHydrator(
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crMlRanker: t.CrMLRanker.MethodPerEndpoint,
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rankingConfigSelector: RankingConfigBuilder)
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extends QueryFeatureHydrator[PipelineQuery] {
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override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("CrMlRanker")
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override val features: Set[Feature[_, _]] =
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Set(CrMlRankerCommonFeatures, CrMlRankerRankingConfig)
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override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = {
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val rankingConfig = rankingConfigSelector.apply(query)
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Stitch
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.callFuture(
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crMlRanker.getCommonFeatures(
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t.RankingRequestContext(query.getRequiredUserId, rankingConfig))).map { commonFeatures =>
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FeatureMapBuilder()
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.add(CrMlRankerRankingConfig, rankingConfig)
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.add(CrMlRankerCommonFeatures, commonFeatures)
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.build()
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}
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}
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}
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