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package sandcrawler
import cascading.pipe.Pipe
import com.twitter.scalding.Args
import com.twitter.scalding.TypedPipe
import com.twitter.scalding.TypedTsv
import parallelai.spyglass.base.JobBase
class MatchBenchmarkJob(args: Args) extends JobBase(args) {
// TODO: Instantiate any subclass of Scorable specified in args.
val sc1 : Scorable = new BibjsonScorable()
val sc2 : Scorable = new BibjsonScorable()
val leftArgs = args + ("bibjson-input" -> List(args("left-bibjson")))
val rightArgs = args + ("bibjson-input" -> List(args("right-bibjson")))
val pipe1 : TypedPipe[(String, ReduceFeatures)] = sc1.getInputPipe(leftArgs)
val pipe2 : TypedPipe[(String, ReduceFeatures)] = sc2.getInputPipe(rightArgs)
pipe1.join(pipe2).map { entry =>
val (slug : String, (features1 : ReduceFeatures, features2 : ReduceFeatures)) = entry
new ReduceOutput(
slug,
Scorable.computeSimilarity(features1, features2),
features1.json,
features2.json)
}
//TypedTsv doesn't work over case classes.
.map { entry => (entry.slug, entry.score, entry.json1, entry.json2) }
.write(TypedTsv[(String, Int, String, String)](args("output")))
}
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