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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._
import scala.util.parsing.json.JSONObject
import java.text.Normalizer
import java.util.Arrays
import java.util.Properties
import java.util.regex.Pattern
import scala.math
import scala.util.parsing.json.JSON
import scala.util.parsing.json.JSONObject
import cascading.tuple.Fields
import com.twitter.scalding._
import com.twitter.scalding.typed.CoGrouped
import com.twitter.scalding.typed.Grouped
import com.twitter.scalding.typed.TDsl._
import org.apache.hadoop.hbase.io.ImmutableBytesWritable
import org.apache.hadoop.hbase.util.Bytes
import parallelai.spyglass.base.JobBase
import parallelai.spyglass.hbase.HBaseConstants.SourceMode
import parallelai.spyglass.hbase.HBasePipeConversions
import parallelai.spyglass.hbase.HBaseSource
class CrossrefScorable extends Scorable with HBasePipeConversions {
// TODO: Generalize args so there can be multiple Crossref pipes in one job.
def getSource(args : Args) : Source = {
TextLine(args("crossref-input"))
}
def getFeaturesPipe(args : Args)(implicit mode : Mode, flowDef : FlowDef) : TypedPipe[MapFeatures] = {
getSource(args).read
.toTypedPipe[String](new Fields("line"))
.map{ json : String =>
Scorable.jsonToMap(json) match {
case None => MapFeatures(Scorable.NoSlug, json)
case Some(map) => {
if ((map contains "title") && (map contains "DOI")) {
val titles = map("title").asInstanceOf[List[String]]
if (titles.isEmpty) {
new MapFeatures(Scorable.NoSlug, json)
} else {
val title = titles(0)
val map2 = Scorable.toScorableMap(title=titles(0), doi=map("DOI").asInstanceOf[String])
new MapFeatures(
Scorable.mapToSlug(map2),
JSONObject(map2).toString)
}
} else {
new MapFeatures(Scorable.NoSlug, json)
}
}
}
}
}
}
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