/
TwhinCollabFilterSimilarityEngine.scala
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/
TwhinCollabFilterSimilarityEngine.scala
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package com.twitter.cr_mixer.similarity_engine
import com.twitter.cr_mixer.model.SimilarityEngineInfo
import com.twitter.simclusters_v2.common.TweetId
import com.twitter.cr_mixer.model.TweetWithScore
import com.twitter.cr_mixer.thriftscala.SimilarityEngineType
import com.twitter.finagle.stats.StatsReceiver
import com.twitter.simclusters_v2.thriftscala.InternalId
import com.twitter.storehaus.ReadableStore
import com.twitter.timelines.configapi
import com.twitter.util.Future
import javax.inject.Singleton
@Singleton
case class TwhinCollabFilterSimilarityEngine(
twhinCandidatesStratoStore: ReadableStore[Long, Seq[TweetId]],
statsReceiver: StatsReceiver)
extends ReadableStore[
TwhinCollabFilterSimilarityEngine.Query,
Seq[TweetWithScore]
] {
import TwhinCollabFilterSimilarityEngine._
override def get(
query: TwhinCollabFilterSimilarityEngine.Query
): Future[Option[Seq[TweetWithScore]]] = {
query.sourceId match {
case InternalId.UserId(userId) =>
twhinCandidatesStratoStore.get(userId).map {
_.map {
_.map { tweetId => TweetWithScore(tweetId, defaultScore) }
}
}
case _ =>
Future.None
}
}
}
object TwhinCollabFilterSimilarityEngine {
val defaultScore: Double = 1.0
case class TwhinCollabFilterView(clusterVersion: String)
case class Query(
sourceId: InternalId,
)
def toSimilarityEngineInfo(
query: LookupEngineQuery[Query],
score: Double
): SimilarityEngineInfo = {
SimilarityEngineInfo(
similarityEngineType = SimilarityEngineType.TwhinCollabFilter,
modelId = Some(query.lookupKey),
score = Some(score))
}
def fromParams(
sourceId: InternalId,
modelId: String,
params: configapi.Params,
): LookupEngineQuery[Query] = {
LookupEngineQuery(
Query(sourceId = sourceId),
modelId,
params
)
}
}