Partly refactored HBaseCrossrefScoreJob. Everything compiles.

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 )
+  }
+}
+