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package sandcrawler
import cascading.flow.FlowDef
import cascading.pipe.Pipe
import cascading.tuple.Fields
import com.twitter.scalding._
import com.twitter.scalding.typed.TDsl._
import parallelai.spyglass.hbase.HBaseConstants.SourceMode
import parallelai.spyglass.hbase.HBasePipeConversions
import parallelai.spyglass.hbase.HBaseSource
import TDsl._
class GrobidScorable extends Scorable with HBasePipeConversions {
def getSource(args : Args) : Source = {
// TODO: Generalize args so there can be multiple grobid pipes in one job.
GrobidScorable.getHBaseSource(args("hbase-table"), args("zookeeper-hosts"))
}
def getFeaturesPipe(pipe : cascading.pipe.Pipe) : TypedPipe[MapFeatures] = {
pipe
.fromBytesWritable(new Fields("key", "tei_json"))
.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)
}
}
}
}
object GrobidScorable {
def getHBaseSource(table : String, host : String) : HBaseSource = {
HBaseBuilder.build(table, host, List("grobid0:tei_json"), SourceMode.SCAN_ALL)
}
def grobidToSlug(json : String) : Option[String] = {
Scorable.jsonToMap(json) match {
case None => None
case Some(map) => {
if (map contains "title") {
Some(Scorable.titleToSlug(map("title").asInstanceOf[String]))
} else {
None
}
}
}
}
}
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