diff options
| -rw-r--r-- | scalding/src/main/scala/sandcrawler/Scorable.scala | 115 | ||||
| -rw-r--r-- | scalding/src/main/scala/sandcrawler/ScoreJob.scala | 20 | ||||
| -rw-r--r-- | scalding/src/main/scala/sandcrawler/StringUtilities.scala | 59 |
3 files changed, 194 insertions, 0 deletions
diff --git a/scalding/src/main/scala/sandcrawler/Scorable.scala b/scalding/src/main/scala/sandcrawler/Scorable.scala new file mode 100644 index 0000000..8e0c560 --- /dev/null +++ b/scalding/src/main/scala/sandcrawler/Scorable.scala @@ -0,0 +1,115 @@ +import scala.math +import scala.util.parsing.json.JSON + +import com.twitter.scalding._ +import com.twitter.scalding.typed.TDsl._ + +case class MapFeatures(val key : String, slug : String, json : String) +case class ReduceFeatures(json : String) +case class ReduceOutput(val score : Int, json1 : String, json2 : String) + +abstract class Scorable { + def getInputPipe(args : Args) : TypedPipe[(String, ReduceFeatures)] = + { + getFeaturesPipe(args) + .filter { entry => Scorable.isValidSlug(entry.slug) } + .groupBy { case MapFeatures(key, slug, json) => slug } + .map { tuple => + val (slug : String, features : MapFeatures) = tuple + (slug, ReduceFeatures(features.json)) + } + } + + // abstract method + def getFeaturesPipe(args : Args) : TypedPipe[MapFeatures] +} + +object Scorable { + val NoSlug = "NO SLUG" // Used for slug if title is empty or unparseable + + def isValidSlug(slug : String) = { + slug != NoSlug + } + + 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]]) + } + } + + /* + def grobidToSlug(json : String) : Option[String] = { + jsonToMap(json) match { + case None => None + case Some(map) => { + if (map contains "title") { + titleToSlug(getString(map, "title")) + } else { + None + } + } + } + } + + def crossrefToSlug(json : String) : Option[String] = { + jsonToMap(json) match { + case None => None + case Some(map) => { + if (map contains "title") { + // TODO: Stop ignoring secondary titles + titleToSlug(map("title").asInstanceOf[List[String]](0)) + } else { + None + } + } + } + } + */ + + def titleToSlug(title : String) : String = { + val slug = StringUtilities.removeAccents(title).split(":")(0).toLowerCase() + if (slug.isEmpty) { + 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 in map. + def getString(map : Map[String, String], key : String) : String = { + assert(map contains key) + map(key).asInstanceOf[String] + } + + val MaxScore = 1000 + + def computeOutput(feature1 : ReduceFeatures, feature2 : ReduceFeatures) : + ReduceOutput = { + val json1 = jsonToMap(feature1.json) + val json2 = jsonToMap(feature2.json) + getStringOption(json1, "title") match { + case None => ReduceOutput(0, "No title", feature1.json) + case Some(title1) => { + getStringOption(json2, "title") match { + case None => ReduceOutput(0, "No title", feature2.json) + case Some(title2) => + ReduceOutput( + (StringUtilities.similarity(title1, title2) * MaxScore).toInt, + feature1.json, feature2.json) + } + } + } + } +} diff --git a/scalding/src/main/scala/sandcrawler/ScoreJob.scala b/scalding/src/main/scala/sandcrawler/ScoreJob.scala new file mode 100644 index 0000000..8d4d957 --- /dev/null +++ b/scalding/src/main/scala/sandcrawler/ScoreJob.scala @@ -0,0 +1,20 @@ +import java.text.Normalizer + +import scala.math +import scala.util.parsing.json.JSON + +import com.twitter.scalding._ +import com.twitter.scalding.typed.TDsl._ +import parallelai.spyglass.base.JobBase +import parallelai.spyglass.hbase.HBasePipeConversions + +class ScoreJob(args: Args, sc1 : Scorable, sc2 : Scorable) extends JobBase(args) with HBasePipeConversions { + 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 + Scorable.computeOutput(features1, features2) + } + .write(TypedTsv[ReduceOutput](args("output"))) +} diff --git a/scalding/src/main/scala/sandcrawler/StringUtilities.scala b/scalding/src/main/scala/sandcrawler/StringUtilities.scala new file mode 100644 index 0000000..290b03f --- /dev/null +++ b/scalding/src/main/scala/sandcrawler/StringUtilities.scala @@ -0,0 +1,59 @@ +import java.text.Normalizer +import java.util.regex.Pattern + +object StringUtilities { + // Adapted from https://git-wip-us.apache.org/repos/asf?p=commons-lang.git;a=blob;f=src/main/java/org/apache/commons/lang3/StringUtils.java;h=1d7b9b99335865a88c509339f700ce71ce2c71f2;hb=HEAD#l934 + def removeAccents(s : String) : String = { + val replacements = Map( + '\u0141' -> 'L', + '\u0142' -> 'l', // Letter ell + '\u00d8' -> 'O', + '\u00f8' -> 'o' + ) + val sb = new StringBuilder(Normalizer.normalize(s, Normalizer.Form.NFD)) + for (i <- 0 to sb.length - 1) { + for (key <- replacements.keys) { + if (sb(i) == key) { + sb.deleteCharAt(i); + sb.insert(i, replacements(key)) + } + } + } + val pattern = Pattern.compile("\\p{InCombiningDiacriticalMarks}+") + pattern.matcher(sb).replaceAll("") + } + + // Adapted from: https://stackoverflow.com/a/16018452/631051 + def similarity(s1a : String, s2a : String) : Double = { + val (s1, s2) = (removeAccents(s1a), removeAccents(s2a)) + val longer : String = if (s1.length > s2.length) s1 else s2 + val shorter : String = if (s1.length > s2.length) s2 else s1 + if (longer.length == 0) { + // Both strings are empty. + 1 + } else { + (longer.length - stringDistance(longer, shorter)) / longer.length.toDouble + } + } + + // Source: https://oldfashionedsoftware.com/2009/11/19/string-distance-and-refactoring-in-scala/ + def stringDistance(s1: String, s2: String): Int = { + val memo = scala.collection.mutable.Map[(List[Char],List[Char]),Int]() + def min(a:Int, b:Int, c:Int) = Math.min( Math.min( a, b ), c) + def sd(s1: List[Char], s2: List[Char]): Int = { + if (!memo.contains((s1, s2))) { + memo((s1,s2)) = (s1, s2) match { + case (_, Nil) => s1.length + case (Nil, _) => s2.length + case (c1::t1, c2::t2) => + min( sd(t1,s2) + 1, sd(s1,t2) + 1, + sd(t1,t2) + (if (c1==c2) 0 else 1) ) + } + } + memo((s1,s2)) + } + + sd( s1.toList, s2.toList ) + } +} + |