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33 lines
1.5 KiB
Scala
33 lines
1.5 KiB
Scala
package com.twitter.product_mixer.core.pipeline.scoring
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import com.twitter.product_mixer.core.functional_component.scorer.ScoredCandidateResult
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import com.twitter.product_mixer.core.model.common.UniversalNoun
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import com.twitter.product_mixer.core.model.common.identifier.ScoringPipelineIdentifier
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import com.twitter.product_mixer.core.model.common.presentation.ItemCandidateWithDetails
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import com.twitter.product_mixer.core.pipeline.Pipeline
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import com.twitter.product_mixer.core.pipeline.PipelineQuery
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import com.twitter.stitch.Arrow
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/**
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* A Scoring Pipeline
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*
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* This is an abstract class, as we only construct these via the [[ScoringPipelineBuilder]].
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*
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* A [[ScoringPipeline]] is capable of pre-filtering candidates for scoring, performing the scoring
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* then running selection heuristics (ranking, dropping, etc) based off of the score.
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* @tparam Query the domain model for the query or request
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* @tparam Candidate the domain model for the candidate being scored
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*/
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abstract class ScoringPipeline[-Query <: PipelineQuery, Candidate <: UniversalNoun[Any]]
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extends Pipeline[ScoringPipeline.Inputs[Query], Seq[ScoredCandidateResult[Candidate]]] {
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override private[core] val config: ScoringPipelineConfig[Query, Candidate]
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override val arrow: Arrow[ScoringPipeline.Inputs[Query], ScoringPipelineResult[Candidate]]
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override val identifier: ScoringPipelineIdentifier
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}
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object ScoringPipeline {
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case class Inputs[+Query <: PipelineQuery](
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query: Query,
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candidates: Seq[ItemCandidateWithDetails])
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}
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