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package sandcrawler
import scala.math
import scala.util.parsing.json.JSON
import scala.util.parsing.json.JSONObject
import cascading.flow.FlowDef
import com.twitter.scalding._
import com.twitter.scalding.typed.TDsl._
case class MapFeatures(slug : String, json : String)
case class ReduceFeatures(json : String)
case class ReduceOutput(val slug : String, score : Int, json1 : String, json2 : String)
abstract class Scorable {
def getInputPipe(args : Args)(implicit mode : Mode, flowDef : FlowDef) : TypedPipe[(String, ReduceFeatures)] =
{
getFeaturesPipe(args)
.filter { entry => Scorable.isValidSlug(entry.slug) }
.groupBy { case MapFeatures(slug, json) => slug }
.map { tuple =>
val (slug : String, features : MapFeatures) = tuple
(slug, ReduceFeatures(features.json))
}
}
// abstract methods
def getSource(args : Args) : Source
def getFeaturesPipe(args : Args)(implicit mode : Mode, flowDef : FlowDef) : TypedPipe[MapFeatures]
}
object Scorable {
val NoSlug = "NO SLUG" // Used for slug if title is empty or unparseable
def isValidSlug(slug : String) : Boolean = {
slug != NoSlug
}
// NOTE: I could go all out and make ScorableMap a type.
// TODO: Require year. Other features will get added here.
def toScorableMap(title : String, year : Int = 0, doi : String = "", sha1 : String = "") : Map[String, Any] = {
Map("title" -> title, "year" -> year, "doi" -> doi, "sha1" -> sha1)
}
def toScorableJson(title : String, year : Int, doi : String = "", sha1 : String = "") : String = {
JSONObject(toScorableMap(title=title, year=year, doi=doi, sha1=sha1)).toString
}
// TODO: Score on more fields than "title".
def isScorableMap(map : Map[String, Any]) : Boolean = {
map.contains("title")
}
def jsonToMap(json : String) : Option[Map[String, Any]] = {
// https://stackoverflow.com/a/32717262/631051
val jsonObject = JSON.parseFull(json)
if (jsonObject == None) {
None
} else {
Some(jsonObject.get.asInstanceOf[Map[String, Any]])
}
}
// Map should have been produced by toScorableMap.
// This guarantees it will have all of the fields needed to compute
// the ultimate score, which are a superset of those needed for a slug.
def mapToSlug(map : Map[String, Any]) : String = {
val title = getString(map, "title")
if (title == null) {
NoSlug
} else {
val unaccented = StringUtilities.removeAccents(title)
// Remove punctuation after splitting on colon.
val slug = StringUtilities.removePunctuation((unaccented.split(":")(0).toLowerCase())).replaceAll("\\s", "")
if (slug.isEmpty || slug == null) NoSlug else slug
}
}
def getStringOption(optionalMap : Option[Map[String, Any]], key : String) : Option[String] = {
optionalMap match {
case None => None
case Some(map) => if (map contains key) Some(map(key).asInstanceOf[String]) else None
}
}
// Caller is responsible for ensuring that key is a String in map.
// TODO: Add and handle ClassCastException
def getString(map : Map[String, Any], key : String) : String = {
assert(map contains key)
map(key).asInstanceOf[String]
}
val MaxScore = 1000
def computeSimilarity(features1 : ReduceFeatures, features2 : ReduceFeatures) : Int = {
val json1 = jsonToMap(features1.json)
val json2 = jsonToMap(features2.json)
getStringOption(json1, "title") match {
case None => 0
case Some(title1) => {
getStringOption(json2, "title") match {
case None => 0
case Some(title2) =>
(StringUtilities.similarity(title1, title2) * MaxScore).toInt
}
}
}
}
}
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