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package sandcrawler
import cascading.flow.FlowDef
import cascading.tuple.Fields
import com.twitter.scalding.{Args,Source,TextLine,TypedPipe, TypedTsv}
//import com.twitter.scalding.source.TypedText
import parallelai.spyglass.base.JobBase
import parallelai.spyglass.hbase.HBasePipeConversions
import parallelai.spyglass.hbase.HBaseSource
import com.twitter.scalding.{ Dsl, RichPipe, IterableSource, TupleSetter, TupleConverter }
import cascading.pipe.Pipe
class ScoreJob(args: Args) extends JobBase(args) { //with HBasePipeConversions {
// TODO: Instantiate any subclass of Scorable specified in args.
val sc1 : Scorable = new GrobidScorable()
val sc2 : Scorable = new CrossrefScorable()
val pipe1 : TypedPipe[(String, ReduceFeatures)] = sc1.getInputPipe(args)
val pipe2 : TypedPipe[(String, ReduceFeatures)] = sc2.getInputPipe(args)
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")))
}
// Ugly hack to get non-String information into ScoreJob above.
object ScoreJob {
var scorable1 : Option[Scorable] = None
var scorable2 : Option[Scorable] = None
def setScorable1(s : Scorable) {
scorable1 = Some(s)
}
def getScorable1() : Scorable = {
scorable1 match {
case Some(s) => s
case None => null
}
}
def setScorable2(s: Scorable) {
scorable2 = Some(s)
}
def getScorable2() : Scorable = {
scorable2 match {
case Some(s) => s
case None => null
}
}
/*
implicit def sourceToRichPipe(src: Source): RichPipe = new RichPipe(src.read)
// This converts an Iterable into a Pipe or RichPipe with index (int-based) fields
implicit def toPipe[T](iter: Iterable[T])(implicit set: TupleSetter[T], conv: TupleConverter[T]): Pipe =
IterableSource[T](iter)(set, conv).read
implicit def iterableToRichPipe[T](iter: Iterable[T])(implicit set: TupleSetter[T], conv: TupleConverter[T]): RichPipe =
RichPipe(toPipe(iter)(set, conv))
// Provide args as an implicit val for extensions such as the Checkpoint extension.
// implicit protected def _implicitJobArgs: Args = args
def getFeaturesPipe1(pipe : cascading.pipe.Pipe) : TypedPipe[String] = {
pipe
// The next line gives an error: value toTypedPipe is not a member of cascading.pipe.Pipe
.toTypedPipe[String](new Fields("line"))
}
def getFeaturesPipe(pipe : cascading.pipe.Pipe) : TypedPipe[MapFeatures] = {
pipe
.fromBytesWritable(new Fields("key", "tei_json"))
// I needed to change symbols to strings when I pulled this out of ScoreJob.
.toTypedPipe[(String, String)](new Fields("key", "tei_json"))
.map { entry =>
val (key : String, json : String) = (entry._1, entry._2)
GrobidScorable.grobidToSlug(json) match {
case Some(slug) => new MapFeatures(slug, json)
case None => new MapFeatures(Scorable.NoSlug, json)
}
}
}
*/
}
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