package com.twitter.home_mixer.functional_component.feature_hydrator import com.twitter.home_mixer.model.HomeFeatures.UserStateFeature import com.twitter.home_mixer.service.HomeMixerAlertConfig import com.twitter.product_mixer.core.feature.Feature 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.timelines.user_health.{thriftscala => uh} import com.twitter.timelines.user_health.v1.{thriftscala => uhv1} import com.twitter.user_session_store.ReadOnlyUserSessionStore import com.twitter.user_session_store.ReadRequest import com.twitter.user_session_store.UserSessionDataset import com.twitter.user_session_store.UserSessionDataset.UserSessionDataset import javax.inject.Inject import javax.inject.Singleton @Singleton case class UserStateQueryFeatureHydrator @Inject() ( userSessionStore: ReadOnlyUserSessionStore) extends QueryFeatureHydrator[PipelineQuery] { override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("UserState") override val features: Set[Feature[_, _]] = Set(UserStateFeature) private val datasets: Set[UserSessionDataset] = Set(UserSessionDataset.UserHealth) override def hydrate(query: PipelineQuery): Stitch[FeatureMap] = { userSessionStore .read(ReadRequest(query.getRequiredUserId, datasets)) .map { userSession => val userState = userSession.flatMap { _.userHealth match { case Some(uh.UserHealth.V1(uhv1.UserHealth(userState))) => userState case _ => None } } FeatureMapBuilder() .add(UserStateFeature, userState) .build() } } override val alerts = Seq( HomeMixerAlertConfig.BusinessHours.defaultSuccessRateAlert(99.9) ) }