Merge pull request 'scalafmt: code style for scala' (#184) from scalafmt into beta

Reviewed-on: #184

dhp-build/dhp-code-style/src/main/resources/scalafmt/scalafmt.conf

@@ -0,0 +1,21 @@
+style = defaultWithAlign
+
+align.openParenCallSite = false
+align.openParenDefnSite = false
+align.tokens = [{code = "->"}, {code = "<-"}, {code = "=>", owner = "Case"}]
+continuationIndent.callSite = 2
+continuationIndent.defnSite = 2
+danglingParentheses = true
+indentOperator = spray
+maxColumn = 120
+newlines.alwaysBeforeTopLevelStatements = true
+project.excludeFilters = [".*\\.sbt"]
+rewrite.rules = [AvoidInfix]
+rewrite.rules = [ExpandImportSelectors]
+rewrite.rules = [RedundantBraces]
+rewrite.rules = [RedundantParens]
+rewrite.rules = [SortImports]
+rewrite.rules = [SortModifiers]
+rewrite.rules = [PreferCurlyFors]
+spaces.inImportCurlyBraces = false
+unindentTopLevelOperators = true

dhp-common/src/main/scala/eu/dnetlib/dhp/application/SparkScalaApplication.scala

@@ -2,71 +2,72 @@ package eu.dnetlib.dhp.application
 
 import scala.io.Source
 
-/**
+/** This is the main Interface SparkApplication
- * This is the main Interface SparkApplication
+  * where all the Spark Scala class should inherit
- * where all the Spark Scala class should inherit
+  */
- *
- */
 trait SparkScalaApplication {
-  /**
+
-   * This is the path in the classpath of the json
+  /** This is the path in the classpath of the json
-   * describes all the argument needed to run
+    * describes all the argument needed to run
-   */
+    */
   val propertyPath: String
 
-  /**
+  /** Utility to parse the arguments using the
-   * Utility to parse the arguments using the
+    * property json in the classpath identified from
-   * property json in the classpath identified from
+    * the variable propertyPath
-   * the variable propertyPath
+    *
-   *
+    * @param args the list of arguments
-   * @param args the list of arguments
+    */
-   */
   def parseArguments(args: Array[String]): ArgumentApplicationParser = {
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream(propertyPath)).mkString)
+    val parser = new ArgumentApplicationParser(
+      Source.fromInputStream(getClass.getResourceAsStream(propertyPath)).mkString
+    )
     parser.parseArgument(args)
     parser
   }
 
-  /**
+  /** Here all the spark applications runs this method
-   * Here all the spark applications runs this method
+    * where the whole logic of the spark node is defined
-   * where the whole logic of the spark node is defined
+    */
-   */
   def run(): Unit
 }
 
-
 import org.apache.spark.SparkConf
 import org.apache.spark.sql.SparkSession
 import org.slf4j.Logger
 
-abstract class AbstractScalaApplication (val propertyPath:String, val args:Array[String], log:Logger) extends  SparkScalaApplication {
+abstract class AbstractScalaApplication(
+  val propertyPath: String,
+  val args: Array[String],
+  log: Logger
+) extends SparkScalaApplication {
 
   var parser: ArgumentApplicationParser = null
 
-  var spark:SparkSession = null
+  var spark: SparkSession = null
 
-
+  def initialize(): SparkScalaApplication = {
-  def initialize():SparkScalaApplication = {
     parser = parseArguments(args)
     spark = createSparkSession()
     this
   }
 
-  /**
+  /** Utility for creating a spark session starting from parser
-   * Utility for creating a spark session starting from parser
+    *
-   *
+    * @return a spark Session
-   * @return a spark Session
+    */
-   */
+  private def createSparkSession(): SparkSession = {
-  private def createSparkSession():SparkSession = {
+    require(parser != null)
-    require(parser!= null)
 
-    val conf:SparkConf = new SparkConf()
+    val conf: SparkConf = new SparkConf()
     val master = parser.get("master")
     log.info(s"Creating Spark session: Master: $master")
-    SparkSession.builder().config(conf)
+    SparkSession
+      .builder()
+      .config(conf)
       .appName(getClass.getSimpleName)
       .master(master)
       .getOrCreate()
   }
 
-}
+}

dhp-common/src/main/scala/eu/dnetlib/dhp/sx/graph/scholix/ScholixUtils.scala

@@ -14,7 +14,6 @@ import scala.io.Source
 
 object ScholixUtils extends Serializable {
 
-
   val DNET_IDENTIFIER_SCHEMA: String = "DNET Identifier"
 
   val DATE_RELATION_KEY: String = "RelationDate"
@@ -24,7 +23,11 @@ object ScholixUtils extends Serializable {
   case class RelatedEntities(id: String, relatedDataset: Long, relatedPublication: Long) {}
 
   val relations: Map[String, RelationVocabulary] = {
-    val input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/scholexplorer/relation/relations.json")).mkString
+    val input = Source
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/scholexplorer/relation/relations.json")
+      )
+      .mkString
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
 
     lazy val json: json4s.JValue = parse(input)
@@ -32,13 +35,14 @@ object ScholixUtils extends Serializable {
     json.extract[Map[String, RelationVocabulary]]
   }
 
-
   def extractRelationDate(relation: Relation): String = {
 
     if (relation.getProperties == null || !relation.getProperties.isEmpty)
       null
     else {
-      val date = relation.getProperties.asScala.find(p => DATE_RELATION_KEY.equalsIgnoreCase(p.getKey)).map(p => p.getValue)
+      val date = relation.getProperties.asScala
+        .find(p => DATE_RELATION_KEY.equalsIgnoreCase(p.getKey))
+        .map(p => p.getValue)
       if (date.isDefined)
         date.get
       else
@@ -58,78 +62,80 @@ object ScholixUtils extends Serializable {
   def inverseRelationShip(rel: ScholixRelationship): ScholixRelationship = {
     new ScholixRelationship(rel.getInverse, rel.getSchema, rel.getName)
 
-
   }
 
-
+  def generateScholixResourceFromResult(r: Result): ScholixResource = {
-  def generateScholixResourceFromResult(r:Result) :ScholixResource = {
     generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
   }
 
+  val statsAggregator: Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] =
+    new Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] with Serializable {
+      override def zero: RelatedEntities = null
 
-  val statsAggregator: Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] = new Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] with Serializable {
+      override def reduce(b: RelatedEntities, a: (String, String, Long)): RelatedEntities = {
-    override def zero: RelatedEntities = null
+        val relatedDataset = if ("dataset".equalsIgnoreCase(a._2)) a._3 else 0
+        val relatedPublication = if ("publication".equalsIgnoreCase(a._2)) a._3 else 0
 
-    override def reduce(b: RelatedEntities, a: (String, String, Long)): RelatedEntities = {
+        if (b == null)
-      val relatedDataset = if ("dataset".equalsIgnoreCase(a._2)) a._3 else 0
+          RelatedEntities(a._1, relatedDataset, relatedPublication)
-      val relatedPublication = if ("publication".equalsIgnoreCase(a._2)) a._3 else 0
+        else
-
+          RelatedEntities(
-      if (b == null)
+            a._1,
-        RelatedEntities(a._1, relatedDataset, relatedPublication)
+            b.relatedDataset + relatedDataset,
-      else
+            b.relatedPublication + relatedPublication
-        RelatedEntities(a._1, b.relatedDataset + relatedDataset, b.relatedPublication + relatedPublication)
+          )
-    }
-
-    override def merge(b1: RelatedEntities, b2: RelatedEntities): RelatedEntities = {
-      if (b1 != null && b2 != null)
-        RelatedEntities(b1.id, b1.relatedDataset + b2.relatedDataset, b1.relatedPublication + b2.relatedPublication)
-
-      else if (b1 != null)
-        b1
-      else
-        b2
-    }
-
-    override def finish(reduction: RelatedEntities): RelatedEntities = reduction
-
-    override def bufferEncoder: Encoder[RelatedEntities] = Encoders.bean(classOf[RelatedEntities])
-
-    override def outputEncoder: Encoder[RelatedEntities] = Encoders.bean(classOf[RelatedEntities])
-  }
-
-
-  val scholixAggregator: Aggregator[(String, Scholix), Scholix, Scholix] = new Aggregator[(String, Scholix), Scholix, Scholix] with Serializable {
-    override def zero: Scholix = null
-
-
-    def scholix_complete(s: Scholix): Boolean = {
-      if (s == null || s.getIdentifier == null) {
-        false
-      } else if (s.getSource == null || s.getTarget == null) {
-        false
       }
-      else if (s.getLinkprovider == null || s.getLinkprovider.isEmpty)
+
-        false
+      override def merge(b1: RelatedEntities, b2: RelatedEntities): RelatedEntities = {
-      else
+        if (b1 != null && b2 != null)
-        true
+          RelatedEntities(
+            b1.id,
+            b1.relatedDataset + b2.relatedDataset,
+            b1.relatedPublication + b2.relatedPublication
+          )
+        else if (b1 != null)
+          b1
+        else
+          b2
+      }
+
+      override def finish(reduction: RelatedEntities): RelatedEntities = reduction
+
+      override def bufferEncoder: Encoder[RelatedEntities] = Encoders.bean(classOf[RelatedEntities])
+
+      override def outputEncoder: Encoder[RelatedEntities] = Encoders.bean(classOf[RelatedEntities])
     }
 
-    override def reduce(b: Scholix, a: (String, Scholix)): Scholix = {
+  val scholixAggregator: Aggregator[(String, Scholix), Scholix, Scholix] =
-      if (scholix_complete(b)) b else a._2
+    new Aggregator[(String, Scholix), Scholix, Scholix] with Serializable {
+      override def zero: Scholix = null
+
+      def scholix_complete(s: Scholix): Boolean = {
+        if (s == null || s.getIdentifier == null) {
+          false
+        } else if (s.getSource == null || s.getTarget == null) {
+          false
+        } else if (s.getLinkprovider == null || s.getLinkprovider.isEmpty)
+          false
+        else
+          true
+      }
+
+      override def reduce(b: Scholix, a: (String, Scholix)): Scholix = {
+        if (scholix_complete(b)) b else a._2
+      }
+
+      override def merge(b1: Scholix, b2: Scholix): Scholix = {
+        if (scholix_complete(b1)) b1 else b2
+      }
+
+      override def finish(reduction: Scholix): Scholix = reduction
+
+      override def bufferEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
+
+      override def outputEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
     }
 
-    override def merge(b1: Scholix, b2: Scholix): Scholix = {
-      if (scholix_complete(b1)) b1 else b2
-    }
-
-    override def finish(reduction: Scholix): Scholix = reduction
-
-    override def bufferEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
-
-    override def outputEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
-  }
-
-
   def createInverseScholixRelation(scholix: Scholix): Scholix = {
     val s = new Scholix
     s.setPublicationDate(scholix.getPublicationDate)
@@ -138,16 +144,19 @@ object ScholixUtils extends Serializable {
     s.setRelationship(inverseRelationShip(scholix.getRelationship))
     s.setSource(scholix.getTarget)
     s.setTarget(scholix.getSource)
-    s.setIdentifier(DHPUtils.md5(s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"))
+    s.setIdentifier(
+      DHPUtils.md5(
+        s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"
+      )
+    )
     s
 
-
   }
 
   def extractCollectedFrom(summary: ScholixResource): List[ScholixEntityId] = {
     if (summary.getCollectedFrom != null && !summary.getCollectedFrom.isEmpty) {
-      val l: List[ScholixEntityId] = summary.getCollectedFrom.asScala.map {
+      val l: List[ScholixEntityId] = summary.getCollectedFrom.asScala.map { d =>
-        d => new ScholixEntityId(d.getProvider.getName, d.getProvider.getIdentifiers)
+        new ScholixEntityId(d.getProvider.getName, d.getProvider.getIdentifiers)
       }(collection.breakOut)
       l
     } else List()
@@ -155,8 +164,11 @@ object ScholixUtils extends Serializable {
 
   def extractCollectedFrom(summary: ScholixSummary): List[ScholixEntityId] = {
     if (summary.getDatasources != null && !summary.getDatasources.isEmpty) {
-      val l: List[ScholixEntityId] = summary.getDatasources.asScala.map {
+      val l: List[ScholixEntityId] = summary.getDatasources.asScala.map { d =>
-        d => new ScholixEntityId(d.getDatasourceName, List(new ScholixIdentifier(d.getDatasourceId, "DNET Identifier", null)).asJava)
+        new ScholixEntityId(
+          d.getDatasourceName,
+          List(new ScholixIdentifier(d.getDatasourceId, "DNET Identifier", null)).asJava
+        )
       }(collection.breakOut)
       l
     } else List()
@@ -165,17 +177,16 @@ object ScholixUtils extends Serializable {
   def extractCollectedFrom(relation: Relation): List[ScholixEntityId] = {
     if (relation.getCollectedfrom != null && !relation.getCollectedfrom.isEmpty) {
 
-
+      val l: List[ScholixEntityId] = relation.getCollectedfrom.asScala.map { c =>
-      val l: List[ScholixEntityId] = relation.getCollectedfrom.asScala.map {
+        new ScholixEntityId(
-        c =>
+          c.getValue,
-
+          List(new ScholixIdentifier(c.getKey, DNET_IDENTIFIER_SCHEMA, null)).asJava
-          new ScholixEntityId(c.getValue, List(new ScholixIdentifier(c.getKey, DNET_IDENTIFIER_SCHEMA, null)).asJava)
+        )
       }.toList
       l
     } else List()
   }
 
-
   def generateCompleteScholix(scholix: Scholix, target: ScholixSummary): Scholix = {
     val s = new Scholix
     s.setPublicationDate(scholix.getPublicationDate)
@@ -184,11 +195,14 @@ object ScholixUtils extends Serializable {
     s.setRelationship(scholix.getRelationship)
     s.setSource(scholix.getSource)
     s.setTarget(generateScholixResourceFromSummary(target))
-    s.setIdentifier(DHPUtils.md5(s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"))
+    s.setIdentifier(
+      DHPUtils.md5(
+        s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"
+      )
+    )
     s
   }
 
-
   def generateCompleteScholix(scholix: Scholix, target: ScholixResource): Scholix = {
     val s = new Scholix
     s.setPublicationDate(scholix.getPublicationDate)
@@ -197,11 +211,14 @@ object ScholixUtils extends Serializable {
     s.setRelationship(scholix.getRelationship)
     s.setSource(scholix.getSource)
     s.setTarget(target)
-    s.setIdentifier(DHPUtils.md5(s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"))
+    s.setIdentifier(
+      DHPUtils.md5(
+        s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"
+      )
+    )
     s
   }
 
-
   def generateScholixResourceFromSummary(summaryObject: ScholixSummary): ScholixResource = {
     val r = new ScholixResource
     r.setIdentifier(summaryObject.getLocalIdentifier)
@@ -214,7 +231,8 @@ object ScholixUtils extends Serializable {
       r.setTitle(summaryObject.getTitle.get(0))
 
     if (summaryObject.getAuthor != null && !summaryObject.getAuthor.isEmpty) {
-      val l: List[ScholixEntityId] = summaryObject.getAuthor.asScala.map(a => new ScholixEntityId(a, null)).toList
+      val l: List[ScholixEntityId] =
+        summaryObject.getAuthor.asScala.map(a => new ScholixEntityId(a, null)).toList
       if (l.nonEmpty)
         r.setCreator(l.asJava)
     }
@@ -222,20 +240,27 @@ object ScholixUtils extends Serializable {
     if (summaryObject.getDate != null && !summaryObject.getDate.isEmpty)
       r.setPublicationDate(summaryObject.getDate.get(0))
     if (summaryObject.getPublisher != null && !summaryObject.getPublisher.isEmpty) {
-      val plist: List[ScholixEntityId] = summaryObject.getPublisher.asScala.map(p => new ScholixEntityId(p, null)).toList
+      val plist: List[ScholixEntityId] =
+        summaryObject.getPublisher.asScala.map(p => new ScholixEntityId(p, null)).toList
 
       if (plist.nonEmpty)
         r.setPublisher(plist.asJava)
     }
 
-
     if (summaryObject.getDatasources != null && !summaryObject.getDatasources.isEmpty) {
 
-      val l: List[ScholixCollectedFrom] = summaryObject.getDatasources.asScala.map(c => new ScholixCollectedFrom(
+      val l: List[ScholixCollectedFrom] = summaryObject.getDatasources.asScala
-        new ScholixEntityId(c.getDatasourceName, List(new ScholixIdentifier(c.getDatasourceId, DNET_IDENTIFIER_SCHEMA, null)).asJava)
+        .map(c =>
-        , "collected", "complete"
+          new ScholixCollectedFrom(
-
+            new ScholixEntityId(
-      )).toList
+              c.getDatasourceName,
+              List(new ScholixIdentifier(c.getDatasourceId, DNET_IDENTIFIER_SCHEMA, null)).asJava
+            ),
+            "collected",
+            "complete"
+          )
+        )
+        .toList
 
       if (l.nonEmpty)
         r.setCollectedFrom(l.asJava)
@@ -244,9 +269,7 @@ object ScholixUtils extends Serializable {
     r
   }
 
-
+  def scholixFromSource(relation: Relation, source: ScholixResource): Scholix = {
-
-  def scholixFromSource(relation: Relation, source: ScholixResource):Scholix = {
     if (relation == null || source == null)
       return null
     val s = new Scholix
@@ -262,7 +285,6 @@ object ScholixUtils extends Serializable {
 
     s.setPublicationDate(d)
 
-
     if (source.getPublisher != null && !source.getPublisher.isEmpty) {
       s.setPublisher(source.getPublisher)
     }
@@ -270,13 +292,14 @@ object ScholixUtils extends Serializable {
     val semanticRelation = relations.getOrElse(relation.getRelClass.toLowerCase, null)
     if (semanticRelation == null)
       return null
-    s.setRelationship(new ScholixRelationship(semanticRelation.original, "datacite", semanticRelation.inverse))
+    s.setRelationship(
+      new ScholixRelationship(semanticRelation.original, "datacite", semanticRelation.inverse)
+    )
     s.setSource(source)
 
     s
   }
 
-
   def scholixFromSource(relation: Relation, source: ScholixSummary): Scholix = {
 
     if (relation == null || source == null)
@@ -298,12 +321,10 @@ object ScholixUtils extends Serializable {
 
     s.setPublicationDate(d)
 
-
     if (source.getPublisher != null && !source.getPublisher.isEmpty) {
       val l: List[ScholixEntityId] = source.getPublisher.asScala
-        .map {
+        .map { p =>
-          p =>
+          new ScholixEntityId(p, null)
-            new ScholixEntityId(p, null)
         }(collection.breakOut)
 
       if (l.nonEmpty)
@@ -313,31 +334,37 @@ object ScholixUtils extends Serializable {
     val semanticRelation = relations.getOrElse(relation.getRelClass.toLowerCase, null)
     if (semanticRelation == null)
       return null
-    s.setRelationship(new ScholixRelationship(semanticRelation.original, "datacite", semanticRelation.inverse))
+    s.setRelationship(
+      new ScholixRelationship(semanticRelation.original, "datacite", semanticRelation.inverse)
+    )
     s.setSource(generateScholixResourceFromSummary(source))
 
     s
   }
 
+  def findURLForPID(
+    pidValue: List[StructuredProperty],
+    urls: List[String]
+  ): List[(StructuredProperty, String)] = {
+    pidValue.map { p =>
+      val pv = p.getValue
 
-  def findURLForPID(pidValue: List[StructuredProperty], urls: List[String]): List[(StructuredProperty, String)] = {
+      val r = urls.find(u => u.toLowerCase.contains(pv.toLowerCase))
-    pidValue.map {
+      (p, r.orNull)
-      p =>
-        val pv = p.getValue
-
-        val r = urls.find(u => u.toLowerCase.contains(pv.toLowerCase))
-        (p, r.orNull)
     }
   }
 
-
   def extractTypedIdentifierFromInstance(r: Result): List[ScholixIdentifier] = {
     if (r.getInstance() == null || r.getInstance().isEmpty)
       return List()
-    r.getInstance().asScala.filter(i => i.getUrl != null && !i.getUrl.isEmpty)
+    r.getInstance()
+      .asScala
+      .filter(i => i.getUrl != null && !i.getUrl.isEmpty)
       .filter(i => i.getPid != null && i.getUrl != null)
       .flatMap(i => findURLForPID(i.getPid.asScala.toList, i.getUrl.asScala.toList))
-      .map(i => new ScholixIdentifier(i._1.getValue, i._1.getQualifier.getClassid, i._2)).distinct.toList
+      .map(i => new ScholixIdentifier(i._1.getValue, i._1.getQualifier.getClassid, i._2))
+      .distinct
+      .toList
   }
 
   def resultToSummary(r: Result): ScholixSummary = {
@@ -371,7 +398,12 @@ object ScholixUtils extends Serializable {
         s.setAuthor(authors.asJava)
     }
     if (r.getInstance() != null) {
-      val dt: List[String] = r.getInstance().asScala.filter(i => i.getDateofacceptance != null).map(i => i.getDateofacceptance.getValue).toList
+      val dt: List[String] = r
+        .getInstance()
+        .asScala
+        .filter(i => i.getDateofacceptance != null)
+        .map(i => i.getDateofacceptance.getValue)
+        .toList
       if (dt.nonEmpty)
         s.setDate(dt.distinct.asJava)
     }
@@ -382,7 +414,9 @@ object ScholixUtils extends Serializable {
     }
 
     if (r.getSubject != null && !r.getSubject.isEmpty) {
-      val subjects: List[SchemeValue] = r.getSubject.asScala.map(s => new SchemeValue(s.getQualifier.getClassname, s.getValue)).toList
+      val subjects: List[SchemeValue] = r.getSubject.asScala
+        .map(s => new SchemeValue(s.getQualifier.getClassname, s.getValue))
+        .toList
       if (subjects.nonEmpty)
         s.setSubject(subjects.asJava)
     }
@@ -391,7 +425,9 @@ object ScholixUtils extends Serializable {
       s.setPublisher(List(r.getPublisher.getValue).asJava)
 
     if (r.getCollectedfrom != null && !r.getCollectedfrom.isEmpty) {
-      val cf: List[CollectedFromType] = r.getCollectedfrom.asScala.map(c => new CollectedFromType(c.getValue, c.getKey, "complete")).toList
+      val cf: List[CollectedFromType] = r.getCollectedfrom.asScala
+        .map(c => new CollectedFromType(c.getValue, c.getKey, "complete"))
+        .toList
       if (cf.nonEmpty)
         s.setDatasources(cf.distinct.asJava)
     }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/collection/CollectionUtils.scala

@@ -7,16 +7,14 @@ import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode}
 
 object CollectionUtils {
 
-  /**
+  /** This method in pipeline to the transformation phase,
-   * This method in pipeline to the transformation phase,
+    * generates relations in both verse, typically it should be a phase of flatMap
-   * generates relations in both verse, typically it should be a phase of flatMap
+    *
-   *
+    * @param i input OAF
-   * @param i input OAF
+    * @return
-   * @return
+    * If the input OAF is an entity -> List(i)
-   * If the input OAF is an entity -> List(i)
+    * If the input OAF is a relation -> List(relation, inverseRelation)
-   * If the input OAF is a relation -> List(relation, inverseRelation)
+    */
-   *
-   */
 
   def fixRelations(i: Oaf): List[Oaf] = {
     if (i.isInstanceOf[OafEntity])

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/AbstractRestClient.scala

@@ -6,7 +6,6 @@ import org.apache.http.client.methods.{HttpGet, HttpPost, HttpUriRequest}
 import org.apache.http.entity.StringEntity
 import org.apache.http.impl.client.HttpClientBuilder
 
-
 abstract class AbstractRestClient extends Iterator[String] {
 
   var buffer: List[String] = List()
@@ -16,12 +15,10 @@ abstract class AbstractRestClient extends Iterator[String] {
 
   var complete: Boolean = false
 
-
   def extractInfo(input: String): Unit
 
   protected def getBufferData(): Unit
 
-
   def doHTTPGETRequest(url: String): String = {
     val httpGet = new HttpGet(url)
     doHTTPRequest(httpGet)
@@ -43,7 +40,6 @@ abstract class AbstractRestClient extends Iterator[String] {
     buffer.nonEmpty && current_index < buffer.size
   }
 
-
   override def next(): String = {
     val next_item: String = buffer(current_index)
     current_index = current_index + 1
@@ -52,13 +48,14 @@ abstract class AbstractRestClient extends Iterator[String] {
     next_item
   }
 
-
   private def doHTTPRequest[A <: HttpUriRequest](r: A): String = {
     val timeout = 60; // seconds
-    val config = RequestConfig.custom()
+    val config = RequestConfig
+      .custom()
       .setConnectTimeout(timeout * 1000)
       .setConnectionRequestTimeout(timeout * 1000)
-      .setSocketTimeout(timeout * 1000).build()
+      .setSocketTimeout(timeout * 1000)
+      .build()
     val client = HttpClientBuilder.create().setDefaultRequestConfig(config).build()
     try {
       var tries = 4
@@ -69,8 +66,7 @@ abstract class AbstractRestClient extends Iterator[String] {
           println(s"get response with status${response.getStatusLine.getStatusCode}")
           if (response.getStatusLine.getStatusCode > 400) {
             tries -= 1
-          }
+          } else
-          else
             return IOUtils.toString(response.getEntity.getContent)
         } catch {
           case e: Throwable =>
@@ -87,4 +83,4 @@ abstract class AbstractRestClient extends Iterator[String] {
   }
 
   getBufferData()
-}
+}

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteAPIImporter.scala

@@ -3,7 +3,7 @@ package eu.dnetlib.dhp.datacite
 import org.json4s.jackson.JsonMethods.{compact, parse, render}
 import org.json4s.{DefaultFormats, JValue}
 
-class DataciteAPIImporter(timestamp: Long = 0, blocks: Long = 10, until:Long = -1) extends AbstractRestClient {
+class DataciteAPIImporter(timestamp: Long = 0, blocks: Long = 10, until: Long = -1) extends AbstractRestClient {
 
   override def extractInfo(input: String): Unit = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
@@ -16,16 +16,18 @@ class DataciteAPIImporter(timestamp: Long = 0, blocks: Long = 10, until:Long = -
     current_index = 0
   }
 
-  def get_url():String ={
+  def get_url(): String = {
-    val to = if (until> 0) s"$until" else "*"
+    val to = if (until > 0) s"$until" else "*"
     s"https://api.datacite.org/dois?page[cursor]=1&page[size]=$blocks&query=updated:[$timestamp%20TO%20$to]"
 
   }
 
   override def getBufferData(): Unit = {
     if (!complete) {
-      val response = if (scroll_value.isDefined) doHTTPGETRequest(scroll_value.get) else doHTTPGETRequest(get_url())
+      val response =
+        if (scroll_value.isDefined) doHTTPGETRequest(scroll_value.get)
+        else doHTTPGETRequest(get_url())
       extractInfo(response)
     }
   }
-}
+}

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteModelConstants.scala

@@ -10,24 +10,38 @@ import java.util.Locale
 import java.util.regex.Pattern
 import scala.io.Source
 
-/**
+/** This class represent the dataModel of the input Dataset of Datacite
- * This class represent the dataModel of the input Dataset of Datacite
+  * @param doi THE DOI
- * @param doi THE DOI
+  * @param timestamp timestamp of last update date
- * @param timestamp timestamp of last update date
+  * @param isActive the record is active or deleted
- * @param isActive the record is active or deleted
+  * @param json the json native records
- * @param json the json native records
+  */
- */
 case class DataciteType(doi: String, timestamp: Long, isActive: Boolean, json: String) {}
 
 /*
   The following class are utility class used for the mapping from
   json datacite to OAF Shema
  */
-case class RelatedIdentifierType(relationType: String, relatedIdentifier: String, relatedIdentifierType: String) {}
+case class RelatedIdentifierType(
+  relationType: String,
+  relatedIdentifier: String,
+  relatedIdentifierType: String
+) {}
 
-case class NameIdentifiersType(nameIdentifierScheme: Option[String], schemeUri: Option[String], nameIdentifier: Option[String]) {}
+case class NameIdentifiersType(
+  nameIdentifierScheme: Option[String],
+  schemeUri: Option[String],
+  nameIdentifier: Option[String]
+) {}
 
-case class CreatorType(nameType: Option[String], nameIdentifiers: Option[List[NameIdentifiersType]], name: Option[String], familyName: Option[String], givenName: Option[String], affiliation: Option[List[String]]) {}
+case class CreatorType(
+  nameType: Option[String],
+  nameIdentifiers: Option[List[NameIdentifiersType]],
+  name: Option[String],
+  familyName: Option[String],
+  givenName: Option[String],
+  affiliation: Option[List[String]]
+) {}
 
 case class TitleType(title: Option[String], titleType: Option[String], lang: Option[String]) {}
 
@@ -35,100 +49,230 @@ case class SubjectType(subject: Option[String], subjectScheme: Option[String]) {
 
 case class DescriptionType(descriptionType: Option[String], description: Option[String]) {}
 
-case class FundingReferenceType(funderIdentifierType: Option[String], awardTitle: Option[String], awardUri: Option[String], funderName: Option[String], funderIdentifier: Option[String], awardNumber: Option[String]) {}
+case class FundingReferenceType(
+  funderIdentifierType: Option[String],
+  awardTitle: Option[String],
+  awardUri: Option[String],
+  funderName: Option[String],
+  funderIdentifier: Option[String],
+  awardNumber: Option[String]
+) {}
 
 case class DateType(date: Option[String], dateType: Option[String]) {}
 
-case class OAFRelations(relation:String, inverse:String, relType:String)
+case class OAFRelations(relation: String, inverse: String, relType: String)
 
-
+class DataciteModelConstants extends Serializable {}
-class DataciteModelConstants extends Serializable {
-
-}
 
 object DataciteModelConstants {
 
-  val REL_TYPE_VALUE:String = "resultResult"
+  val REL_TYPE_VALUE: String = "resultResult"
   val DATE_RELATION_KEY = "RelationDate"
   val DATACITE_FILTER_PATH = "/eu/dnetlib/dhp/datacite/datacite_filter"
   val DOI_CLASS = "doi"
   val SUBJ_CLASS = "keywords"
   val DATACITE_NAME = "Datacite"
   val dataInfo: DataInfo = dataciteDataInfo("0.9")
-  val DATACITE_COLLECTED_FROM: KeyValue = OafMapperUtils.keyValue(ModelConstants.DATACITE_ID, DATACITE_NAME)
 
-  val subRelTypeMapping: Map[String,OAFRelations] = Map(
+  val DATACITE_COLLECTED_FROM: KeyValue =
-    ModelConstants.REFERENCES ->            OAFRelations(ModelConstants.REFERENCES, ModelConstants.IS_REFERENCED_BY, ModelConstants.RELATIONSHIP),
+    OafMapperUtils.keyValue(ModelConstants.DATACITE_ID, DATACITE_NAME)
-    ModelConstants.IS_REFERENCED_BY ->      OAFRelations(ModelConstants.IS_REFERENCED_BY,ModelConstants.REFERENCES, ModelConstants.RELATIONSHIP),
 
-    ModelConstants.IS_SUPPLEMENTED_BY ->    OAFRelations(ModelConstants.IS_SUPPLEMENTED_BY,ModelConstants.IS_SUPPLEMENT_TO,ModelConstants.SUPPLEMENT),
+  val subRelTypeMapping: Map[String, OAFRelations] = Map(
-    ModelConstants.IS_SUPPLEMENT_TO ->      OAFRelations(ModelConstants.IS_SUPPLEMENT_TO,ModelConstants.IS_SUPPLEMENTED_BY,ModelConstants.SUPPLEMENT),
+    ModelConstants.REFERENCES -> OAFRelations(
-
+      ModelConstants.REFERENCES,
-    ModelConstants.HAS_PART ->              OAFRelations(ModelConstants.HAS_PART,ModelConstants.IS_PART_OF, ModelConstants.PART),
+      ModelConstants.IS_REFERENCED_BY,
-    ModelConstants.IS_PART_OF ->            OAFRelations(ModelConstants.IS_PART_OF,ModelConstants.HAS_PART, ModelConstants.PART),
+      ModelConstants.RELATIONSHIP
-
+    ),
-    ModelConstants.IS_VERSION_OF->          OAFRelations(ModelConstants.IS_VERSION_OF,ModelConstants.HAS_VERSION,ModelConstants.VERSION),
+    ModelConstants.IS_REFERENCED_BY -> OAFRelations(
-    ModelConstants.HAS_VERSION->            OAFRelations(ModelConstants.HAS_VERSION,ModelConstants.IS_VERSION_OF,ModelConstants.VERSION),
+      ModelConstants.IS_REFERENCED_BY,
-
+      ModelConstants.REFERENCES,
-    ModelConstants.IS_IDENTICAL_TO ->       OAFRelations(ModelConstants.IS_IDENTICAL_TO,ModelConstants.IS_IDENTICAL_TO, ModelConstants.RELATIONSHIP),
+      ModelConstants.RELATIONSHIP
-
+    ),
-    ModelConstants.IS_CONTINUED_BY ->       OAFRelations(ModelConstants.IS_CONTINUED_BY,ModelConstants.CONTINUES, ModelConstants.RELATIONSHIP),
+    ModelConstants.IS_SUPPLEMENTED_BY -> OAFRelations(
-    ModelConstants.CONTINUES ->             OAFRelations(ModelConstants.CONTINUES,ModelConstants.IS_CONTINUED_BY, ModelConstants.RELATIONSHIP),
+      ModelConstants.IS_SUPPLEMENTED_BY,
-
+      ModelConstants.IS_SUPPLEMENT_TO,
-    ModelConstants.IS_NEW_VERSION_OF->      OAFRelations(ModelConstants.IS_NEW_VERSION_OF,ModelConstants.IS_PREVIOUS_VERSION_OF, ModelConstants.VERSION),
+      ModelConstants.SUPPLEMENT
-    ModelConstants.IS_PREVIOUS_VERSION_OF ->OAFRelations(ModelConstants.IS_PREVIOUS_VERSION_OF,ModelConstants.IS_NEW_VERSION_OF, ModelConstants.VERSION),
+    ),
-
+    ModelConstants.IS_SUPPLEMENT_TO -> OAFRelations(
-    ModelConstants.IS_DOCUMENTED_BY ->      OAFRelations(ModelConstants.IS_DOCUMENTED_BY,ModelConstants.DOCUMENTS, ModelConstants.RELATIONSHIP),
+      ModelConstants.IS_SUPPLEMENT_TO,
-    ModelConstants.DOCUMENTS ->             OAFRelations(ModelConstants.DOCUMENTS,ModelConstants.IS_DOCUMENTED_BY, ModelConstants.RELATIONSHIP),
+      ModelConstants.IS_SUPPLEMENTED_BY,
-
+      ModelConstants.SUPPLEMENT
-    ModelConstants.IS_SOURCE_OF ->          OAFRelations(ModelConstants.IS_SOURCE_OF,ModelConstants.IS_DERIVED_FROM, ModelConstants.VERSION),
+    ),
-    ModelConstants.IS_DERIVED_FROM ->       OAFRelations(ModelConstants.IS_DERIVED_FROM,ModelConstants.IS_SOURCE_OF, ModelConstants.VERSION),
+    ModelConstants.HAS_PART -> OAFRelations(
-
+      ModelConstants.HAS_PART,
-    ModelConstants.CITES ->                 OAFRelations(ModelConstants.CITES,ModelConstants.IS_CITED_BY, ModelConstants.CITATION),
+      ModelConstants.IS_PART_OF,
-    ModelConstants.IS_CITED_BY ->           OAFRelations(ModelConstants.IS_CITED_BY,ModelConstants.CITES, ModelConstants.CITATION),
+      ModelConstants.PART
-
+    ),
-    ModelConstants.IS_VARIANT_FORM_OF ->    OAFRelations(ModelConstants.IS_VARIANT_FORM_OF,ModelConstants.IS_DERIVED_FROM, ModelConstants.VERSION),
+    ModelConstants.IS_PART_OF -> OAFRelations(
-    ModelConstants.IS_OBSOLETED_BY ->       OAFRelations(ModelConstants.IS_OBSOLETED_BY,ModelConstants.IS_NEW_VERSION_OF, ModelConstants.VERSION),
+      ModelConstants.IS_PART_OF,
-
+      ModelConstants.HAS_PART,
-    ModelConstants.REVIEWS ->               OAFRelations(ModelConstants.REVIEWS,ModelConstants.IS_REVIEWED_BY, ModelConstants.REVIEW),
+      ModelConstants.PART
-    ModelConstants.IS_REVIEWED_BY ->        OAFRelations(ModelConstants.IS_REVIEWED_BY,ModelConstants.REVIEWS, ModelConstants.REVIEW),
+    ),
-
+    ModelConstants.IS_VERSION_OF -> OAFRelations(
-    ModelConstants.DOCUMENTS ->             OAFRelations(ModelConstants.DOCUMENTS,ModelConstants.IS_DOCUMENTED_BY, ModelConstants.RELATIONSHIP),
+      ModelConstants.IS_VERSION_OF,
-    ModelConstants.IS_DOCUMENTED_BY ->      OAFRelations(ModelConstants.IS_DOCUMENTED_BY,ModelConstants.DOCUMENTS, ModelConstants.RELATIONSHIP),
+      ModelConstants.HAS_VERSION,
-
+      ModelConstants.VERSION
-    ModelConstants.COMPILES ->              OAFRelations(ModelConstants.COMPILES,ModelConstants.IS_COMPILED_BY, ModelConstants.RELATIONSHIP),
+    ),
-    ModelConstants.IS_COMPILED_BY ->        OAFRelations(ModelConstants.IS_COMPILED_BY,ModelConstants.COMPILES, ModelConstants.RELATIONSHIP)
+    ModelConstants.HAS_VERSION -> OAFRelations(
+      ModelConstants.HAS_VERSION,
+      ModelConstants.IS_VERSION_OF,
+      ModelConstants.VERSION
+    ),
+    ModelConstants.IS_IDENTICAL_TO -> OAFRelations(
+      ModelConstants.IS_IDENTICAL_TO,
+      ModelConstants.IS_IDENTICAL_TO,
+      ModelConstants.RELATIONSHIP
+    ),
+    ModelConstants.IS_CONTINUED_BY -> OAFRelations(
+      ModelConstants.IS_CONTINUED_BY,
+      ModelConstants.CONTINUES,
+      ModelConstants.RELATIONSHIP
+    ),
+    ModelConstants.CONTINUES -> OAFRelations(
+      ModelConstants.CONTINUES,
+      ModelConstants.IS_CONTINUED_BY,
+      ModelConstants.RELATIONSHIP
+    ),
+    ModelConstants.IS_NEW_VERSION_OF -> OAFRelations(
+      ModelConstants.IS_NEW_VERSION_OF,
+      ModelConstants.IS_PREVIOUS_VERSION_OF,
+      ModelConstants.VERSION
+    ),
+    ModelConstants.IS_PREVIOUS_VERSION_OF -> OAFRelations(
+      ModelConstants.IS_PREVIOUS_VERSION_OF,
+      ModelConstants.IS_NEW_VERSION_OF,
+      ModelConstants.VERSION
+    ),
+    ModelConstants.IS_DOCUMENTED_BY -> OAFRelations(
+      ModelConstants.IS_DOCUMENTED_BY,
+      ModelConstants.DOCUMENTS,
+      ModelConstants.RELATIONSHIP
+    ),
+    ModelConstants.DOCUMENTS -> OAFRelations(
+      ModelConstants.DOCUMENTS,
+      ModelConstants.IS_DOCUMENTED_BY,
+      ModelConstants.RELATIONSHIP
+    ),
+    ModelConstants.IS_SOURCE_OF -> OAFRelations(
+      ModelConstants.IS_SOURCE_OF,
+      ModelConstants.IS_DERIVED_FROM,
+      ModelConstants.VERSION
+    ),
+    ModelConstants.IS_DERIVED_FROM -> OAFRelations(
+      ModelConstants.IS_DERIVED_FROM,
+      ModelConstants.IS_SOURCE_OF,
+      ModelConstants.VERSION
+    ),
+    ModelConstants.CITES -> OAFRelations(
+      ModelConstants.CITES,
+      ModelConstants.IS_CITED_BY,
+      ModelConstants.CITATION
+    ),
+    ModelConstants.IS_CITED_BY -> OAFRelations(
+      ModelConstants.IS_CITED_BY,
+      ModelConstants.CITES,
+      ModelConstants.CITATION
+    ),
+    ModelConstants.IS_VARIANT_FORM_OF -> OAFRelations(
+      ModelConstants.IS_VARIANT_FORM_OF,
+      ModelConstants.IS_DERIVED_FROM,
+      ModelConstants.VERSION
+    ),
+    ModelConstants.IS_OBSOLETED_BY -> OAFRelations(
+      ModelConstants.IS_OBSOLETED_BY,
+      ModelConstants.IS_NEW_VERSION_OF,
+      ModelConstants.VERSION
+    ),
+    ModelConstants.REVIEWS -> OAFRelations(
+      ModelConstants.REVIEWS,
+      ModelConstants.IS_REVIEWED_BY,
+      ModelConstants.REVIEW
+    ),
+    ModelConstants.IS_REVIEWED_BY -> OAFRelations(
+      ModelConstants.IS_REVIEWED_BY,
+      ModelConstants.REVIEWS,
+      ModelConstants.REVIEW
+    ),
+    ModelConstants.DOCUMENTS -> OAFRelations(
+      ModelConstants.DOCUMENTS,
+      ModelConstants.IS_DOCUMENTED_BY,
+      ModelConstants.RELATIONSHIP
+    ),
+    ModelConstants.IS_DOCUMENTED_BY -> OAFRelations(
+      ModelConstants.IS_DOCUMENTED_BY,
+      ModelConstants.DOCUMENTS,
+      ModelConstants.RELATIONSHIP
+    ),
+    ModelConstants.COMPILES -> OAFRelations(
+      ModelConstants.COMPILES,
+      ModelConstants.IS_COMPILED_BY,
+      ModelConstants.RELATIONSHIP
+    ),
+    ModelConstants.IS_COMPILED_BY -> OAFRelations(
+      ModelConstants.IS_COMPILED_BY,
+      ModelConstants.COMPILES,
+      ModelConstants.RELATIONSHIP
+    )
   )
 
-
   val datacite_filter: List[String] = {
     val stream: InputStream = getClass.getResourceAsStream(DATACITE_FILTER_PATH)
-    require(stream!= null)
+    require(stream != null)
     Source.fromInputStream(stream).getLines().toList
   }
 
+  def dataciteDataInfo(trust: String): DataInfo = OafMapperUtils.dataInfo(
+    false,
+    null,
+    false,
+    false,
+    ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER,
+    trust
+  )
 
-  def dataciteDataInfo(trust: String): DataInfo =  OafMapperUtils.dataInfo(false,null, false, false, ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER, trust)
+  val df_en: DateTimeFormatter = DateTimeFormatter.ofPattern(
+    "[MM-dd-yyyy][MM/dd/yyyy][dd-MM-yy][dd-MMM-yyyy][dd/MMM/yyyy][dd-MMM-yy][dd/MMM/yy][dd-MM-yy][dd/MM/yy][dd-MM-yyyy][dd/MM/yyyy][yyyy-MM-dd][yyyy/MM/dd]",
+    Locale.ENGLISH
+  )
 
-  val df_en: DateTimeFormatter = DateTimeFormatter.ofPattern("[MM-dd-yyyy][MM/dd/yyyy][dd-MM-yy][dd-MMM-yyyy][dd/MMM/yyyy][dd-MMM-yy][dd/MMM/yy][dd-MM-yy][dd/MM/yy][dd-MM-yyyy][dd/MM/yyyy][yyyy-MM-dd][yyyy/MM/dd]", Locale.ENGLISH)
+  val df_it: DateTimeFormatter =
-  val df_it: DateTimeFormatter = DateTimeFormatter.ofPattern("[dd-MM-yyyy][dd/MM/yyyy]", Locale.ITALIAN)
+    DateTimeFormatter.ofPattern("[dd-MM-yyyy][dd/MM/yyyy]", Locale.ITALIAN)
 
   val funder_regex: List[(Pattern, String)] = List(
-    (Pattern.compile("(info:eu-repo/grantagreement/ec/h2020/)(\\d\\d\\d\\d\\d\\d)(.*)", Pattern.MULTILINE | Pattern.CASE_INSENSITIVE), "40|corda__h2020::"),
+    (
-    (Pattern.compile("(info:eu-repo/grantagreement/ec/fp7/)(\\d\\d\\d\\d\\d\\d)(.*)", Pattern.MULTILINE | Pattern.CASE_INSENSITIVE), "40|corda_______::")
+      Pattern.compile(
-
+        "(info:eu-repo/grantagreement/ec/h2020/)(\\d\\d\\d\\d\\d\\d)(.*)",
+        Pattern.MULTILINE | Pattern.CASE_INSENSITIVE
+      ),
+      "40|corda__h2020::"
+    ),
+    (
+      Pattern.compile(
+        "(info:eu-repo/grantagreement/ec/fp7/)(\\d\\d\\d\\d\\d\\d)(.*)",
+        Pattern.MULTILINE | Pattern.CASE_INSENSITIVE
+      ),
+      "40|corda_______::"
+    )
   )
 
   val Date_regex: List[Pattern] = List(
     //Y-M-D
-    Pattern.compile("(18|19|20)\\d\\d([- /.])(0[1-9]|1[012])\\2(0[1-9]|[12][0-9]|3[01])", Pattern.MULTILINE),
+    Pattern.compile(
+      "(18|19|20)\\d\\d([- /.])(0[1-9]|1[012])\\2(0[1-9]|[12][0-9]|3[01])",
+      Pattern.MULTILINE
+    ),
     //M-D-Y
-    Pattern.compile("((0[1-9]|1[012])|([1-9]))([- /.])(0[1-9]|[12][0-9]|3[01])([- /.])(18|19|20)?\\d\\d", Pattern.MULTILINE),
+    Pattern.compile(
+      "((0[1-9]|1[012])|([1-9]))([- /.])(0[1-9]|[12][0-9]|3[01])([- /.])(18|19|20)?\\d\\d",
+      Pattern.MULTILINE
+    ),
     //D-M-Y
-    Pattern.compile("(?:(?:31(/|-|\\.)(?:0?[13578]|1[02]|(?:Jan|Mar|May|Jul|Aug|Oct|Dec)))\\1|(?:(?:29|30)(/|-|\\.)(?:0?[1,3-9]|1[0-2]|(?:Jan|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec))\\2))(?:(?:1[6-9]|[2-9]\\d)?\\d{2})|(?:29(/|-|\\.)(?:0?2|(?:Feb))\\3(?:(?:(?:1[6-9]|[2-9]\\d)?(?:0[48]|[2468][048]|[13579][26])|(?:(?:16|[2468][048]|[3579][26])00))))|(?:0?[1-9]|1\\d|2[0-8])(/|-|\\.)(?:(?:0?[1-9]|(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep))|(?:1[0-2]|(?:Oct|Nov|Dec)))\\4(?:(?:1[6-9]|[2-9]\\d)?\\d{2})", Pattern.MULTILINE),
+    Pattern.compile(
+      "(?:(?:31(/|-|\\.)(?:0?[13578]|1[02]|(?:Jan|Mar|May|Jul|Aug|Oct|Dec)))\\1|(?:(?:29|30)(/|-|\\.)(?:0?[1,3-9]|1[0-2]|(?:Jan|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec))\\2))(?:(?:1[6-9]|[2-9]\\d)?\\d{2})|(?:29(/|-|\\.)(?:0?2|(?:Feb))\\3(?:(?:(?:1[6-9]|[2-9]\\d)?(?:0[48]|[2468][048]|[13579][26])|(?:(?:16|[2468][048]|[3579][26])00))))|(?:0?[1-9]|1\\d|2[0-8])(/|-|\\.)(?:(?:0?[1-9]|(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep))|(?:1[0-2]|(?:Oct|Nov|Dec)))\\4(?:(?:1[6-9]|[2-9]\\d)?\\d{2})",
+      Pattern.MULTILINE
+    ),
     //Y
     Pattern.compile("(19|20)\\d\\d", Pattern.MULTILINE)
   )
 
-
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTransformation.scala

@@ -20,19 +20,16 @@ import java.time.format.DateTimeFormatter
 import java.util.{Date, Locale}
 import scala.collection.JavaConverters._
 
-
 object DataciteToOAFTransformation {
 
   val mapper = new ObjectMapper()
 
-
+  /** This method should skip record if json contains invalid text
-  /**
+    * defined in gile datacite_filter
-   * This method should skip record if json contains invalid text
+    *
-   * defined in gile datacite_filter
+    * @param json
-   *
+    * @return True if the record should be skipped
-   * @param json
+    */
-   * @return True if the record should be skipped
-   */
   def skip_record(json: String): Boolean = {
     datacite_filter.exists(f => json.contains(f))
   }
@@ -74,35 +71,35 @@ object DataciteToOAFTransformation {
 
   }
 
-
   def embargo_end(embargo_end_date: String): Boolean = {
     val dt = LocalDate.parse(embargo_end_date, DateTimeFormatter.ofPattern("[yyyy-MM-dd]"))
     val td = LocalDate.now()
     td.isAfter(dt)
   }
 
-
   def extract_date(input: String): Option[String] = {
-    val d = Date_regex.map(pattern => {
+    val d = Date_regex
-      val matcher = pattern.matcher(input)
+      .map(pattern => {
-      if (matcher.find())
+        val matcher = pattern.matcher(input)
-        matcher.group(0)
+        if (matcher.find())
-      else
+          matcher.group(0)
-        null
+        else
-    }
+          null
-    ).find(s => s != null)
+      })
+      .find(s => s != null)
 
     if (d.isDefined) {
       val a_date = if (d.get.length == 4) s"01-01-${d.get}" else d.get
       try {
         return Some(LocalDate.parse(a_date, df_en).toString)
       } catch {
-        case _: Throwable => try {
+        case _: Throwable =>
-          return Some(LocalDate.parse(a_date, df_it).toString)
+          try {
-        } catch {
+            return Some(LocalDate.parse(a_date, df_it).toString)
-          case _: Throwable =>
+          } catch {
-            return None
+            case _: Throwable =>
-        }
+              return None
+          }
       }
     }
     d
@@ -118,31 +115,63 @@ object DataciteToOAFTransformation {
     }
   }
 
-
+  def getTypeQualifier(
-  def getTypeQualifier(resourceType: String, resourceTypeGeneral: String, schemaOrg: String, vocabularies: VocabularyGroup): (Qualifier, Qualifier) = {
+    resourceType: String,
+    resourceTypeGeneral: String,
+    schemaOrg: String,
+    vocabularies: VocabularyGroup
+  ): (Qualifier, Qualifier) = {
     if (resourceType != null && resourceType.nonEmpty) {
-      val typeQualifier = vocabularies.getSynonymAsQualifier(ModelConstants.DNET_PUBLICATION_RESOURCE, resourceType)
+      val typeQualifier =
+        vocabularies.getSynonymAsQualifier(ModelConstants.DNET_PUBLICATION_RESOURCE, resourceType)
       if (typeQualifier != null)
-        return (typeQualifier, vocabularies.getSynonymAsQualifier(ModelConstants.DNET_RESULT_TYPOLOGIES, typeQualifier.getClassid))
+        return (
+          typeQualifier,
+          vocabularies.getSynonymAsQualifier(
+            ModelConstants.DNET_RESULT_TYPOLOGIES,
+            typeQualifier.getClassid
+          )
+        )
     }
     if (schemaOrg != null && schemaOrg.nonEmpty) {
-      val typeQualifier = vocabularies.getSynonymAsQualifier(ModelConstants.DNET_PUBLICATION_RESOURCE, schemaOrg)
+      val typeQualifier =
+        vocabularies.getSynonymAsQualifier(ModelConstants.DNET_PUBLICATION_RESOURCE, schemaOrg)
       if (typeQualifier != null)
-        return (typeQualifier, vocabularies.getSynonymAsQualifier(ModelConstants.DNET_RESULT_TYPOLOGIES, typeQualifier.getClassid))
+        return (
+          typeQualifier,
+          vocabularies.getSynonymAsQualifier(
+            ModelConstants.DNET_RESULT_TYPOLOGIES,
+            typeQualifier.getClassid
+          )
+        )
 
     }
     if (resourceTypeGeneral != null && resourceTypeGeneral.nonEmpty) {
-      val typeQualifier = vocabularies.getSynonymAsQualifier(ModelConstants.DNET_PUBLICATION_RESOURCE, resourceTypeGeneral)
+      val typeQualifier = vocabularies.getSynonymAsQualifier(
+        ModelConstants.DNET_PUBLICATION_RESOURCE,
+        resourceTypeGeneral
+      )
       if (typeQualifier != null)
-        return (typeQualifier, vocabularies.getSynonymAsQualifier(ModelConstants.DNET_RESULT_TYPOLOGIES, typeQualifier.getClassid))
+        return (
+          typeQualifier,
+          vocabularies.getSynonymAsQualifier(
+            ModelConstants.DNET_RESULT_TYPOLOGIES,
+            typeQualifier.getClassid
+          )
+        )
 
     }
     null
   }
 
-
+  def getResult(
-  def getResult(resourceType: String, resourceTypeGeneral: String, schemaOrg: String, vocabularies: VocabularyGroup): Result = {
+    resourceType: String,
-    val typeQualifiers: (Qualifier, Qualifier) = getTypeQualifier(resourceType, resourceTypeGeneral, schemaOrg, vocabularies)
+    resourceTypeGeneral: String,
+    schemaOrg: String,
+    vocabularies: VocabularyGroup
+  ): Result = {
+    val typeQualifiers: (Qualifier, Qualifier) =
+      getTypeQualifier(resourceType, resourceTypeGeneral, schemaOrg, vocabularies)
     if (typeQualifiers == null)
       return null
     val i = new Instance
@@ -168,13 +197,12 @@ object DataciteToOAFTransformation {
     null
   }
 
-
   def available_date(input: String): Boolean = {
 
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: org.json4s.JValue = parse(input)
     val l: List[String] = for {
-      JObject(dates) <- json \\ "dates"
+      JObject(dates)                         <- json \\ "dates"
       JField("dateType", JString(dateTypes)) <- dates
     } yield dateTypes
 
@@ -182,18 +210,19 @@ object DataciteToOAFTransformation {
 
   }
 
-
+  /** As describe in ticket #6377
-  /**
+    * when the result come from figshare we need to remove subject
-   * As describe in ticket #6377
+    * and set Access rights OPEN.
-   * when the result come from figshare we need to remove subject
+    *
-   * and set Access rights OPEN.
+    * @param r
-   *
+    */
-   * @param r
-   */
   def fix_figshare(r: Result): Unit = {
 
     if (r.getInstance() != null) {
-      val hosted_by_figshare = r.getInstance().asScala.exists(i => i.getHostedby != null && "figshare".equalsIgnoreCase(i.getHostedby.getValue))
+      val hosted_by_figshare = r
+        .getInstance()
+        .asScala
+        .exists(i => i.getHostedby != null && "figshare".equalsIgnoreCase(i.getHostedby.getValue))
       if (hosted_by_figshare) {
         r.getInstance().asScala.foreach(i => i.setAccessright(ModelConstants.OPEN_ACCESS_RIGHT()))
         val l: List[StructuredProperty] = List()
@@ -201,10 +230,8 @@ object DataciteToOAFTransformation {
       }
     }
 
-
   }
 
-
   def createDNetTargetIdentifier(pid: String, pidType: String, idPrefix: String): String = {
     val f_part = s"$idPrefix|${pidType.toLowerCase}".padTo(15, '_')
     s"$f_part::${IdentifierFactory.md5(pid.toLowerCase)}"
@@ -214,7 +241,13 @@ object DataciteToOAFTransformation {
     OafMapperUtils.structuredProperty(dt, q, null)
   }
 
-  def generateRelation(sourceId: String, targetId: String, relClass: String, cf: KeyValue, di: DataInfo): Relation = {
+  def generateRelation(
+    sourceId: String,
+    targetId: String,
+    relClass: String,
+    cf: KeyValue,
+    di: DataInfo
+  ): Relation = {
 
     val r = new Relation
     r.setSource(sourceId)
@@ -226,7 +259,6 @@ object DataciteToOAFTransformation {
     r.setDataInfo(di)
     r
 
-
   }
 
   def get_projectRelation(awardUri: String, sourceId: String): List[Relation] = {
@@ -238,14 +270,18 @@ object DataciteToOAFTransformation {
       val grantId = m.matcher(awardUri).replaceAll("$2")
       val targetId = s"$p${DHPUtils.md5(grantId)}"
       List(generateRelation(sourceId, targetId, "isProducedBy", DATACITE_COLLECTED_FROM, dataInfo))
-    }
+    } else
-    else
       List()
 
   }
 
-
+  def generateOAF(
-  def generateOAF(input: String, ts: Long, dateOfCollection: Long, vocabularies: VocabularyGroup, exportLinks: Boolean): List[Oaf] = {
+    input: String,
+    ts: Long,
+    dateOfCollection: Long,
+    vocabularies: VocabularyGroup,
+    exportLinks: Boolean
+  ): List[Oaf] = {
     if (skip_record(input))
       return List()
 
@@ -253,7 +289,8 @@ object DataciteToOAFTransformation {
     lazy val json = parse(input)
 
     val resourceType = (json \ "attributes" \ "types" \ "resourceType").extractOrElse[String](null)
-    val resourceTypeGeneral = (json \ "attributes" \ "types" \ "resourceTypeGeneral").extractOrElse[String](null)
+    val resourceTypeGeneral =
+      (json \ "attributes" \ "types" \ "resourceTypeGeneral").extractOrElse[String](null)
     val schemaOrg = (json \ "attributes" \ "types" \ "schemaOrg").extractOrElse[String](null)
 
     val doi = (json \ "attributes" \ "doi").extract[String]
@@ -265,8 +302,12 @@ object DataciteToOAFTransformation {
     if (result == null)
       return List()
 
-
+    val doi_q = OafMapperUtils.qualifier(
-    val doi_q = OafMapperUtils.qualifier("doi", "doi", ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES)
+      "doi",
+      "doi",
+      ModelConstants.DNET_PID_TYPES,
+      ModelConstants.DNET_PID_TYPES
+    )
     val pid = OafMapperUtils.structuredProperty(doi, doi_q, dataInfo)
     result.setPid(List(pid).asJava)
     result.setId(OafMapperUtils.createOpenaireId(50, s"datacite____::$doi", true))
@@ -275,48 +316,70 @@ object DataciteToOAFTransformation {
     val d = new Date(dateOfCollection * 1000)
     val ISO8601FORMAT = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssZ", Locale.US)
 
-
     result.setDateofcollection(ISO8601FORMAT.format(d))
     result.setDateoftransformation(ISO8601FORMAT.format(d))
     result.setDataInfo(dataInfo)
 
     val creators = (json \\ "creators").extractOrElse[List[CreatorType]](List())
 
-
     val authors = creators.zipWithIndex.map { case (c, idx) =>
       val a = new Author
       a.setFullname(c.name.orNull)
       a.setName(c.givenName.orNull)
       a.setSurname(c.familyName.orNull)
       if (c.nameIdentifiers != null && c.nameIdentifiers.isDefined && c.nameIdentifiers.get != null) {
-        a.setPid(c.nameIdentifiers.get.map(ni => {
+        a.setPid(
-          val q = if (ni.nameIdentifierScheme.isDefined) vocabularies.getTermAsQualifier(ModelConstants.DNET_PID_TYPES, ni.nameIdentifierScheme.get.toLowerCase()) else null
+          c.nameIdentifiers.get
-          if (ni.nameIdentifier != null && ni.nameIdentifier.isDefined) {
+            .map(ni => {
-            OafMapperUtils.structuredProperty(ni.nameIdentifier.get, q, dataInfo)
+              val q =
-          }
+                if (ni.nameIdentifierScheme.isDefined)
-          else
+                  vocabularies.getTermAsQualifier(
-            null
+                    ModelConstants.DNET_PID_TYPES,
+                    ni.nameIdentifierScheme.get.toLowerCase()
+                  )
+                else null
+              if (ni.nameIdentifier != null && ni.nameIdentifier.isDefined) {
+                OafMapperUtils.structuredProperty(ni.nameIdentifier.get, q, dataInfo)
+              } else
+                null
 
-        }
+            })
+            .asJava
         )
-          .asJava)
       }
       if (c.affiliation.isDefined)
-        a.setAffiliation(c.affiliation.get.filter(af => af.nonEmpty).map(af => OafMapperUtils.field(af, dataInfo)).asJava)
+        a.setAffiliation(
+          c.affiliation.get
+            .filter(af => af.nonEmpty)
+            .map(af => OafMapperUtils.field(af, dataInfo))
+            .asJava
+        )
       a.setRank(idx + 1)
       a
     }
 
-
     val titles: List[TitleType] = (json \\ "titles").extractOrElse[List[TitleType]](List())
 
-    result.setTitle(titles.filter(t => t.title.nonEmpty).map(t => {
+    result.setTitle(
-      if (t.titleType.isEmpty) {
+      titles
-        OafMapperUtils.structuredProperty(t.title.get, ModelConstants.MAIN_TITLE_QUALIFIER, null)
+        .filter(t => t.title.nonEmpty)
-      } else {
+        .map(t => {
-        OafMapperUtils.structuredProperty(t.title.get, t.titleType.get, t.titleType.get, ModelConstants.DNET_DATACITE_TITLE, ModelConstants.DNET_DATACITE_TITLE, null)
+          if (t.titleType.isEmpty) {
-      }
+            OafMapperUtils
-    }).asJava)
+              .structuredProperty(t.title.get, ModelConstants.MAIN_TITLE_QUALIFIER, null)
+          } else {
+            OafMapperUtils.structuredProperty(
+              t.title.get,
+              t.titleType.get,
+              t.titleType.get,
+              ModelConstants.DNET_DATACITE_TITLE,
+              ModelConstants.DNET_DATACITE_TITLE,
+              null
+            )
+          }
+        })
+        .asJava
+    )
 
     if (authors == null || authors.isEmpty || !authors.exists(a => a != null))
       return List()
@@ -337,46 +400,81 @@ object DataciteToOAFTransformation {
 
     if (a_date.isDefined) {
       if (doi.startsWith("10.14457"))
-        result.setEmbargoenddate(OafMapperUtils.field(fix_thai_date(a_date.get, "[yyyy-MM-dd]"), null))
+        result.setEmbargoenddate(
+          OafMapperUtils.field(fix_thai_date(a_date.get, "[yyyy-MM-dd]"), null)
+        )
       else
         result.setEmbargoenddate(OafMapperUtils.field(a_date.get, null))
     }
     if (i_date.isDefined && i_date.get.isDefined) {
       if (doi.startsWith("10.14457")) {
-        result.setDateofacceptance(OafMapperUtils.field(fix_thai_date(i_date.get.get, "[yyyy-MM-dd]"), null))
+        result.setDateofacceptance(
-        result.getInstance().get(0).setDateofacceptance(OafMapperUtils.field(fix_thai_date(i_date.get.get, "[yyyy-MM-dd]"), null))
+          OafMapperUtils.field(fix_thai_date(i_date.get.get, "[yyyy-MM-dd]"), null)
-      }
+        )
-      else {
+        result
+          .getInstance()
+          .get(0)
+          .setDateofacceptance(
+            OafMapperUtils.field(fix_thai_date(i_date.get.get, "[yyyy-MM-dd]"), null)
+          )
+      } else {
         result.setDateofacceptance(OafMapperUtils.field(i_date.get.get, null))
         result.getInstance().get(0).setDateofacceptance(OafMapperUtils.field(i_date.get.get, null))
       }
-    }
+    } else if (publication_year != null) {
-    else if (publication_year != null) {
       if (doi.startsWith("10.14457")) {
-        result.setDateofacceptance(OafMapperUtils.field(fix_thai_date(s"01-01-$publication_year", "[dd-MM-yyyy]"), null))
+        result.setDateofacceptance(
-        result.getInstance().get(0).setDateofacceptance(OafMapperUtils.field(fix_thai_date(s"01-01-$publication_year", "[dd-MM-yyyy]"), null))
+          OafMapperUtils.field(fix_thai_date(s"01-01-$publication_year", "[dd-MM-yyyy]"), null)
+        )
+        result
+          .getInstance()
+          .get(0)
+          .setDateofacceptance(
+            OafMapperUtils.field(fix_thai_date(s"01-01-$publication_year", "[dd-MM-yyyy]"), null)
+          )
 
       } else {
         result.setDateofacceptance(OafMapperUtils.field(s"01-01-$publication_year", null))
-        result.getInstance().get(0).setDateofacceptance(OafMapperUtils.field(s"01-01-$publication_year", null))
+        result
+          .getInstance()
+          .get(0)
+          .setDateofacceptance(OafMapperUtils.field(s"01-01-$publication_year", null))
       }
     }
 
-
+    result.setRelevantdate(
-    result.setRelevantdate(dates.filter(d => d.date.isDefined && d.dateType.isDefined)
+      dates
-      .map(d => (extract_date(d.date.get), d.dateType.get))
+        .filter(d => d.date.isDefined && d.dateType.isDefined)
-      .filter(d => d._1.isDefined)
+        .map(d => (extract_date(d.date.get), d.dateType.get))
-      .map(d => (d._1.get, vocabularies.getTermAsQualifier(ModelConstants.DNET_DATACITE_DATE, d._2.toLowerCase())))
+        .filter(d => d._1.isDefined)
-      .filter(d => d._2 != null)
+        .map(d =>
-      .map(d => generateOAFDate(d._1, d._2)).asJava)
+          (
+            d._1.get,
+            vocabularies.getTermAsQualifier(ModelConstants.DNET_DATACITE_DATE, d._2.toLowerCase())
+          )
+        )
+        .filter(d => d._2 != null)
+        .map(d => generateOAFDate(d._1, d._2))
+        .asJava
+    )
 
     val subjects = (json \\ "subjects").extract[List[SubjectType]]
 
-    result.setSubject(subjects.filter(s => s.subject.nonEmpty)
+    result.setSubject(
-      .map(s =>
+      subjects
-        OafMapperUtils.structuredProperty(s.subject.get, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, null)
+        .filter(s => s.subject.nonEmpty)
-      ).asJava)
+        .map(s =>
-
+          OafMapperUtils.structuredProperty(
+            s.subject.get,
+            SUBJ_CLASS,
+            SUBJ_CLASS,
+            ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+            ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+            null
+          )
+        )
+        .asJava
+    )
 
     result.setCollectedfrom(List(DATACITE_COLLECTED_FROM).asJava)
 
@@ -384,66 +482,86 @@ object DataciteToOAFTransformation {
 
     result.setDescription(
       descriptions
-        .filter(d => d.description.isDefined).
+        .filter(d => d.description.isDefined)
-        map(d =>
+        .map(d => OafMapperUtils.field(d.description.get, null))
-          OafMapperUtils.field(d.description.get, null)
+        .filter(s => s != null)
-        ).filter(s => s != null).asJava)
+        .asJava
-
+    )
 
     val publisher = (json \\ "publisher").extractOrElse[String](null)
     if (publisher != null)
       result.setPublisher(OafMapperUtils.field(publisher, null))
 
-
     val language: String = (json \\ "language").extractOrElse[String](null)
 
     if (language != null)
-      result.setLanguage(vocabularies.getSynonymAsQualifier(ModelConstants.DNET_LANGUAGES, language))
+      result.setLanguage(
-
+        vocabularies.getSynonymAsQualifier(ModelConstants.DNET_LANGUAGES, language)
+      )
 
     val instance = result.getInstance().get(0)
 
     val client = (json \ "relationships" \ "client" \\ "id").extractOpt[String]
 
     val accessRights: List[String] = for {
-      JObject(rightsList) <- json \\ "rightsList"
+      JObject(rightsList)                     <- json \\ "rightsList"
       JField("rightsUri", JString(rightsUri)) <- rightsList
     } yield rightsUri
 
-    val aRights: Option[AccessRight] = accessRights.map(r => {
+    val aRights: Option[AccessRight] = accessRights
-      vocabularies.getSynonymAsQualifier(ModelConstants.DNET_ACCESS_MODES, r)
+      .map(r => {
-    }).find(q => q != null).map(q => {
+        vocabularies.getSynonymAsQualifier(ModelConstants.DNET_ACCESS_MODES, r)
-      val a = new AccessRight
+      })
-      a.setClassid(q.getClassid)
+      .find(q => q != null)
-      a.setClassname(q.getClassname)
+      .map(q => {
-      a.setSchemeid(q.getSchemeid)
+        val a = new AccessRight
-      a.setSchemename(q.getSchemename)
+        a.setClassid(q.getClassid)
-      a
+        a.setClassname(q.getClassname)
-    })
+        a.setSchemeid(q.getSchemeid)
+        a.setSchemename(q.getSchemename)
+        a
+      })
 
-
+    val access_rights_qualifier =
-    val access_rights_qualifier = if (aRights.isDefined) aRights.get else OafMapperUtils.accessRight(ModelConstants.UNKNOWN, ModelConstants.NOT_AVAILABLE, ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
+      if (aRights.isDefined) aRights.get
+      else
+        OafMapperUtils.accessRight(
+          ModelConstants.UNKNOWN,
+          ModelConstants.NOT_AVAILABLE,
+          ModelConstants.DNET_ACCESS_MODES,
+          ModelConstants.DNET_ACCESS_MODES
+        )
 
     if (client.isDefined) {
 
-      instance.setHostedby(OafMapperUtils.keyValue(generateDSId(ModelConstants.UNKNOWN_REPOSITORY_ORIGINALID), ModelConstants.UNKNOWN_REPOSITORY.getValue))
+      instance.setHostedby(
+        OafMapperUtils.keyValue(
+          generateDSId(ModelConstants.UNKNOWN_REPOSITORY_ORIGINALID),
+          ModelConstants.UNKNOWN_REPOSITORY.getValue
+        )
+      )
       instance.setCollectedfrom(DATACITE_COLLECTED_FROM)
       instance.setUrl(List(s"https://dx.doi.org/$doi").asJava)
       instance.setAccessright(access_rights_qualifier)
       instance.setPid(result.getPid)
       val license = accessRights
-        .find(r => r.startsWith("http") && r.matches(".*(/licenses|/publicdomain|unlicense\\.org/|/legal-and-data-protection-notices|/download/license|/open-government-licence).*"))
+        .find(r =>
+          r.startsWith("http") && r.matches(
+            ".*(/licenses|/publicdomain|unlicense\\.org/|/legal-and-data-protection-notices|/download/license|/open-government-licence).*"
+          )
+        )
       if (license.isDefined)
         instance.setLicense(OafMapperUtils.field(license.get, null))
     }
 
     val awardUris: List[String] = for {
-      JObject(fundingReferences) <- json \\ "fundingReferences"
+      JObject(fundingReferences)            <- json \\ "fundingReferences"
       JField("awardUri", JString(awardUri)) <- fundingReferences
     } yield awardUri
 
     result.setId(IdentifierFactory.createIdentifier(result))
-    var relations: List[Relation] = awardUris.flatMap(a => get_projectRelation(a, result.getId)).filter(r => r != null)
+    var relations: List[Relation] =
+      awardUris.flatMap(a => get_projectRelation(a, result.getId)).filter(r => r != null)
 
     fix_figshare(result)
 
@@ -452,28 +570,35 @@ object DataciteToOAFTransformation {
 
     if (exportLinks) {
       val rels: List[RelatedIdentifierType] = for {
-        JObject(relIdentifier) <- json \\ "relatedIdentifiers"
+        JObject(relIdentifier)                                          <- json \\ "relatedIdentifiers"
-        JField("relationType", JString(relationType)) <- relIdentifier
+        JField("relationType", JString(relationType))                   <- relIdentifier
         JField("relatedIdentifierType", JString(relatedIdentifierType)) <- relIdentifier
-        JField("relatedIdentifier", JString(relatedIdentifier)) <- relIdentifier
+        JField("relatedIdentifier", JString(relatedIdentifier))         <- relIdentifier
       } yield RelatedIdentifierType(relationType, relatedIdentifier, relatedIdentifierType)
 
-      relations = relations ::: generateRelations(rels, result.getId, if (i_date.isDefined && i_date.get.isDefined) i_date.get.get else null)
+      relations = relations ::: generateRelations(
+        rels,
+        result.getId,
+        if (i_date.isDefined && i_date.get.isDefined) i_date.get.get else null
+      )
     }
     if (relations != null && relations.nonEmpty) {
       List(result) ::: relations
-    }
+    } else
-    else
       List(result)
   }
 
-  private def generateRelations(rels: List[RelatedIdentifierType], id: String, date: String): List[Relation] = {
+  private def generateRelations(
+    rels: List[RelatedIdentifierType],
+    id: String,
+    date: String
+  ): List[Relation] = {
     rels
       .filter(r =>
-        subRelTypeMapping.contains(r.relationType) && (
+        subRelTypeMapping
-          r.relatedIdentifierType.equalsIgnoreCase("doi") ||
+          .contains(r.relationType) && (r.relatedIdentifierType.equalsIgnoreCase("doi") ||
-            r.relatedIdentifierType.equalsIgnoreCase("pmid") ||
+        r.relatedIdentifierType.equalsIgnoreCase("pmid") ||
-            r.relatedIdentifierType.equalsIgnoreCase("arxiv"))
+        r.relatedIdentifierType.equalsIgnoreCase("arxiv"))
       )
       .map(r => {
         val rel = new Relation
@@ -490,19 +615,19 @@ object DataciteToOAFTransformation {
         rel.setProperties(List(dateProps).asJava)
 
         rel.setSource(id)
-        rel.setTarget(DHPUtils.generateUnresolvedIdentifier(r.relatedIdentifier, r.relatedIdentifierType))
+        rel.setTarget(
+          DHPUtils.generateUnresolvedIdentifier(r.relatedIdentifier, r.relatedIdentifierType)
+        )
         rel.setCollectedfrom(List(DATACITE_COLLECTED_FROM).asJava)
         rel.getCollectedfrom.asScala.map(c => c.getValue).toList
         rel
       })
   }
 
-
   def generateDSId(input: String): String = {
     val b = StringUtils.substringBefore(input, "::")
     val a = StringUtils.substringAfter(input, "::")
     s"10|$b::${DHPUtils.md5(a)}"
   }
 
-
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/GenerateDataciteDatasetSpark.scala

@@ -12,12 +12,12 @@ import eu.dnetlib.dhp.utils.ISLookupClientFactory
 import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
 import org.slf4j.{Logger, LoggerFactory}
 
+class GenerateDataciteDatasetSpark(propertyPath: String, args: Array[String], log: Logger)
+    extends AbstractScalaApplication(propertyPath, args, log: Logger) {
 
-class GenerateDataciteDatasetSpark (propertyPath:String, args:Array[String], log:Logger) extends  AbstractScalaApplication(propertyPath, args, log:Logger) {
+  /** Here all the spark applications runs this method
-  /**
+    * where the whole logic of the spark node is defined
-   * Here all the spark applications runs this method
+    */
-   * where the whole logic of the spark node is defined
-   */
   override def run(): Unit = {
 
     val sourcePath = parser.get("sourcePath")
@@ -46,49 +46,65 @@ class GenerateDataciteDatasetSpark (propertyPath:String, args:Array[String], log
     reportTotalSize(targetPath, outputBasePath)
   }
 
-
+  /** For working with MDStore we need to store in a file on hdfs the size of
-  /**
+    * the current dataset
-   * For working with MDStore we need to store in a file on hdfs the size of
+    * @param targetPath
-   * the current dataset
+    * @param outputBasePath
-   * @param targetPath
+    */
-   * @param outputBasePath
+  def reportTotalSize(targetPath: String, outputBasePath: String): Unit = {
-   */
-  def reportTotalSize( targetPath: String, outputBasePath: String ):Unit = {
     val total_items = spark.read.text(targetPath).count()
-    writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$total_items", outputBasePath + MDSTORE_SIZE_PATH)
+    writeHdfsFile(
+      spark.sparkContext.hadoopConfiguration,
+      s"$total_items",
+      outputBasePath + MDSTORE_SIZE_PATH
+    )
   }
 
-  /**
+  /** Generate the transformed and cleaned OAF Dataset from the native one
-   * Generate the transformed and cleaned OAF Dataset from the native one
+    *
-
+    * @param sourcePath  sourcePath of the native Dataset in format JSON/Datacite
-   * @param sourcePath  sourcePath of the native Dataset in format JSON/Datacite
+    * @param exportLinks If true it generates unresolved links
-   * @param exportLinks If true it generates unresolved links
+    * @param vocabularies vocabularies for cleaning
-   * @param vocabularies vocabularies for cleaning
+    * @param targetPath the targetPath of the result Dataset
-   * @param targetPath the targetPath of the result Dataset
+    */
-   */
+  def generateDataciteDataset(
-  def generateDataciteDataset(sourcePath: String, exportLinks: Boolean, vocabularies: VocabularyGroup, targetPath: String, spark:SparkSession):Unit = {
+    sourcePath: String,
-    require(spark!= null)
+    exportLinks: Boolean,
+    vocabularies: VocabularyGroup,
+    targetPath: String,
+    spark: SparkSession
+  ): Unit = {
+    require(spark != null)
     import spark.implicits._
 
     implicit val mrEncoder: Encoder[MetadataRecord] = Encoders.kryo[MetadataRecord]
 
     implicit val resEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
     CollectionUtils.saveDataset(
-      spark.read.load(sourcePath).as[DataciteType]
+      spark.read
+        .load(sourcePath)
+        .as[DataciteType]
         .filter(d => d.isActive)
-        .flatMap(d => DataciteToOAFTransformation.generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks))
+        .flatMap(d =>
+          DataciteToOAFTransformation
+            .generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks)
+        )
         .filter(d => d != null),
-      targetPath)
+      targetPath
+    )
   }
 
 }
 
-
 object GenerateDataciteDatasetSpark {
 
   val log: Logger = LoggerFactory.getLogger(GenerateDataciteDatasetSpark.getClass)
 
   def main(args: Array[String]): Unit = {
-    new GenerateDataciteDatasetSpark("/eu/dnetlib/dhp/datacite/generate_dataset_params.json", args, log).initialize().run()
+    new GenerateDataciteDatasetSpark(
+      "/eu/dnetlib/dhp/datacite/generate_dataset_params.json",
+      args,
+      log
+    ).initialize().run()
   }
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/ImportDatacite.scala

@@ -22,7 +22,6 @@ object ImportDatacite {
 
   val log: Logger = LoggerFactory.getLogger(ImportDatacite.getClass)
 
-
   def convertAPIStringToDataciteItem(input: String): DataciteType = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: org.json4s.JValue = parse(input)
@@ -32,14 +31,26 @@ object ImportDatacite {
 
     val timestamp_string = (json \ "attributes" \ "updated").extract[String]
     val dt = LocalDateTime.parse(timestamp_string, ISO_DATE_TIME)
-    DataciteType(doi = doi, timestamp = dt.toInstant(ZoneOffset.UTC).toEpochMilli / 1000, isActive = isActive, json = input)
+    DataciteType(
+      doi = doi,
+      timestamp = dt.toInstant(ZoneOffset.UTC).toEpochMilli / 1000,
+      isActive = isActive,
+      json = input
+    )
 
   }
 
-
   def main(args: Array[String]): Unit = {
 
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/import_from_api.json")).mkString)
+    val parser = new ArgumentApplicationParser(
+      Source
+        .fromInputStream(
+          getClass.getResourceAsStream(
+            "/eu/dnetlib/dhp/actionmanager/datacite/import_from_api.json"
+          )
+        )
+        .mkString
+    )
     parser.parseArgument(args)
     val master = parser.get("master")
 
@@ -60,7 +71,8 @@ object ImportDatacite {
     val spkipImport = parser.get("skipImport")
     log.info(s"skipImport is $spkipImport")
 
-    val spark: SparkSession = SparkSession.builder()
+    val spark: SparkSession = SparkSession
+      .builder()
       .appName(ImportDatacite.getClass.getSimpleName)
       .master(master)
       .getOrCreate()
@@ -78,45 +90,48 @@ object ImportDatacite {
 
     import spark.implicits._
 
+    val dataciteAggregator: Aggregator[DataciteType, DataciteType, DataciteType] =
+      new Aggregator[DataciteType, DataciteType, DataciteType] with Serializable {
 
-    val dataciteAggregator: Aggregator[DataciteType, DataciteType, DataciteType] = new Aggregator[DataciteType, DataciteType, DataciteType] with Serializable {
+        override def zero: DataciteType = null
 
-      override def zero: DataciteType = null
+        override def reduce(a: DataciteType, b: DataciteType): DataciteType = {
-
+          if (b == null)
-      override def reduce(a: DataciteType, b: DataciteType): DataciteType = {
+            return a
-        if (b == null)
+          if (a == null)
-          return a
+            return b
-        if (a == null)
+          if (a.timestamp > b.timestamp) {
-          return b
+            return a
-        if (a.timestamp > b.timestamp) {
+          }
-          return a
+          b
         }
-        b
+
+        override def merge(a: DataciteType, b: DataciteType): DataciteType = {
+          reduce(a, b)
+        }
+
+        override def bufferEncoder: Encoder[DataciteType] = implicitly[Encoder[DataciteType]]
+
+        override def outputEncoder: Encoder[DataciteType] = implicitly[Encoder[DataciteType]]
+
+        override def finish(reduction: DataciteType): DataciteType = reduction
       }
 
-      override def merge(a: DataciteType, b: DataciteType): DataciteType = {
-        reduce(a, b)
-      }
-
-      override def bufferEncoder: Encoder[DataciteType] = implicitly[Encoder[DataciteType]]
-
-      override def outputEncoder: Encoder[DataciteType] = implicitly[Encoder[DataciteType]]
-
-      override def finish(reduction: DataciteType): DataciteType = reduction
-    }
-
     val dump: Dataset[DataciteType] = spark.read.load(dataciteDump).as[DataciteType]
     val ts = dump.select(max("timestamp")).first().getLong(0)
 
     println(s"last Timestamp is $ts")
 
-    val cnt = if ("true".equalsIgnoreCase(spkipImport)) 1 else writeSequenceFile(hdfsTargetPath, ts, conf, bs)
+    val cnt =
+      if ("true".equalsIgnoreCase(spkipImport)) 1
+      else writeSequenceFile(hdfsTargetPath, ts, conf, bs)
 
     println(s"Imported from Datacite API $cnt documents")
 
     if (cnt > 0) {
 
-      val inputRdd: RDD[DataciteType] = sc.sequenceFile(targetPath, classOf[Int], classOf[Text])
+      val inputRdd: RDD[DataciteType] = sc
+        .sequenceFile(targetPath, classOf[Int], classOf[Text])
         .map(s => s._2.toString)
         .map(s => convertAPIStringToDataciteItem(s))
       spark.createDataset(inputRdd).write.mode(SaveMode.Overwrite).save(s"${targetPath}_dataset")
@@ -129,7 +144,9 @@ object ImportDatacite {
         .agg(dataciteAggregator.toColumn)
         .map(s => s._2)
         .repartition(4000)
-        .write.mode(SaveMode.Overwrite).save(s"${dataciteDump}_updated")
+        .write
+        .mode(SaveMode.Overwrite)
+        .save(s"${dataciteDump}_updated")
 
       val fs = FileSystem.get(sc.hadoopConfiguration)
       fs.delete(new Path(s"$dataciteDump"), true)
@@ -137,14 +154,24 @@ object ImportDatacite {
     }
   }
 
-  private def writeSequenceFile(hdfsTargetPath: Path, timestamp: Long, conf: Configuration, bs: Int): Long = {
+  private def writeSequenceFile(
+    hdfsTargetPath: Path,
+    timestamp: Long,
+    conf: Configuration,
+    bs: Int
+  ): Long = {
     var from: Long = timestamp * 1000
     val delta: Long = 100000000L
     var client: DataciteAPIImporter = null
     val now: Long = System.currentTimeMillis()
     var i = 0
     try {
-      val writer = SequenceFile.createWriter(conf, SequenceFile.Writer.file(hdfsTargetPath), SequenceFile.Writer.keyClass(classOf[IntWritable]), SequenceFile.Writer.valueClass(classOf[Text]))
+      val writer = SequenceFile.createWriter(
+        conf,
+        SequenceFile.Writer.file(hdfsTargetPath),
+        SequenceFile.Writer.keyClass(classOf[IntWritable]),
+        SequenceFile.Writer.valueClass(classOf[Text])
+      )
       try {
         var start: Long = System.currentTimeMillis
         while (from < now) {
@@ -153,16 +180,16 @@ object ImportDatacite {
           val key: IntWritable = new IntWritable(i)
           val value: Text = new Text
           while (client.hasNext) {
-            key.set({
+            key.set {
               i += 1;
               i - 1
-            })
+            }
             value.set(client.next())
             writer.append(key, value)
             writer.hflush()
             if (i % 1000 == 0) {
               end = System.currentTimeMillis
-              val time = (end - start) / 1000.0F
+              val time = (end - start) / 1000.0f
               println(s"Imported $i in $time seconds")
               start = System.currentTimeMillis
             }
@@ -174,8 +201,7 @@ object ImportDatacite {
         case e: Throwable =>
           println("Error", e)
       } finally if (writer != null) writer.close()
-    }
+    } catch {
-    catch {
       case e: Throwable =>
         log.error("Error", e)
     }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/SparkDownloadUpdateDatacite.scala

@@ -17,7 +17,13 @@ object SparkDownloadUpdateDatacite {
   def main(args: Array[String]): Unit = {
 
     val conf = new SparkConf
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/datacite/generate_dataset_params.json")).mkString)
+    val parser = new ArgumentApplicationParser(
+      Source
+        .fromInputStream(
+          getClass.getResourceAsStream("/eu/dnetlib/dhp/datacite/generate_dataset_params.json")
+        )
+        .mkString
+    )
     parser.parseArgument(args)
     val master = parser.get("master")
     val sourcePath = parser.get("sourcePath")
@@ -26,8 +32,9 @@ object SparkDownloadUpdateDatacite {
     val hdfsuri = parser.get("namenode")
     log.info(s"namenode is $hdfsuri")
 
-
+    val spark: SparkSession = SparkSession
-    val spark: SparkSession = SparkSession.builder().config(conf)
+      .builder()
+      .config(conf)
       .appName(getClass.getSimpleName)
       .master(master)
       .getOrCreate()
@@ -37,13 +44,18 @@ object SparkDownloadUpdateDatacite {
 
     import spark.implicits._
 
-
+    val maxDate: String = spark.read
-    val maxDate: String = spark.read.load(workingPath).as[Oaf].filter(s => s.isInstanceOf[Result]).map(r => r.asInstanceOf[Result].getDateofcollection).select(max("value")).first().getString(0)
+      .load(workingPath)
+      .as[Oaf]
+      .filter(s => s.isInstanceOf[Result])
+      .map(r => r.asInstanceOf[Result].getDateofcollection)
+      .select(max("value"))
+      .first()
+      .getString(0)
     val ISO8601FORMAT = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssZ", Locale.US)
     val string_to_date = ISO8601FORMAT.parse(maxDate)
     val ts = string_to_date.getTime
 
-
   }
 
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/BioDBToOAF.scala

@@ -12,39 +12,81 @@ object BioDBToOAF {
 
   case class EBILinkItem(id: Long, links: String) {}
 
-  case class EBILinks(relType: String, date: String, title: String, pmid: String, targetPid: String, targetPidType: String, targetUrl: String) {}
+  case class EBILinks(
+    relType: String,
+    date: String,
+    title: String,
+    pmid: String,
+    targetPid: String,
+    targetPidType: String,
+    targetUrl: String
+  ) {}
 
   case class UniprotDate(date: String, date_info: String) {}
 
-  case class ScholixResolved(pid: String, pidType: String, typology: String, tilte: List[String], datasource: List[String], date: List[String], authors: List[String]) {}
+  case class ScholixResolved(
+    pid: String,
+    pidType: String,
+    typology: String,
+    tilte: List[String],
+    datasource: List[String],
+    date: List[String],
+    authors: List[String]
+  ) {}
 
-  val DATA_INFO: DataInfo = OafMapperUtils.dataInfo(false, null, false, false, ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER, "0.9")
+  val DATA_INFO: DataInfo = OafMapperUtils.dataInfo(
+    false,
+    null,
+    false,
+    false,
+    ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER,
+    "0.9"
+  )
   val SUBJ_CLASS = "Keywords"
 
   val DATE_RELATION_KEY = "RelationDate"
 
   val resolvedURL: Map[String, String] = Map(
-    "genbank" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "genbank"            -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "ncbi-n" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "ncbi-n"             -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "ncbi-wgs" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "ncbi-wgs"           -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "ncbi-p" -> "https://www.ncbi.nlm.nih.gov/protein/",
+    "ncbi-p"             -> "https://www.ncbi.nlm.nih.gov/protein/",
-    "ena" -> "https://www.ebi.ac.uk/ena/browser/view/",
+    "ena"                -> "https://www.ebi.ac.uk/ena/browser/view/",
     "clinicaltrials.gov" -> "https://clinicaltrials.gov/ct2/show/",
-    "onim" -> "https://omim.org/entry/",
+    "onim"               -> "https://omim.org/entry/",
-    "refseq" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "refseq"             -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "geo" -> "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc="
+    "geo"                -> "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc="
   )
 
-
   val collectedFromMap: Map[String, KeyValue] = {
-    val PDBCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|opendoar____::d1c373ab1570cfb9a7dbb53c186b37a2", "Protein Data Bank")
+    val PDBCollectedFrom: KeyValue = OafMapperUtils.keyValue(
-    val enaCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|re3data_____::c2a591f440598b63d854556beaf01591", "European Nucleotide Archive")
+      "10|opendoar____::d1c373ab1570cfb9a7dbb53c186b37a2",
-    val ncbiCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|re3data_____::7d4f90870fe1e493232c9e86c43ae6f6", "NCBI Nucleotide")
+      "Protein Data Bank"
-    val UNIPROTCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|re3data_____::296e1abaf1302897a6838d3588cd0310", "UniProtKB/Swiss-Prot")
+    )
-    val ElsevierCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|openaire____::8f87e10869299a5fe80b315695296b88", "Elsevier")
+    val enaCollectedFrom: KeyValue = OafMapperUtils.keyValue(
-    val springerNatureCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|openaire____::6e380d9cf51138baec8480f5a0ce3a2e", "Springer Nature")
+      "10|re3data_____::c2a591f440598b63d854556beaf01591",
-    val EBICollectedFrom: KeyValue = OafMapperUtils.keyValue("10|opendoar____::83e60e09c222f206c725385f53d7e567c", "EMBL-EBIs Protein Data Bank in Europe (PDBe)")
+      "European Nucleotide Archive"
-    val pubmedCollectedFrom: KeyValue = OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
+    )
+    val ncbiCollectedFrom: KeyValue = OafMapperUtils.keyValue(
+      "10|re3data_____::7d4f90870fe1e493232c9e86c43ae6f6",
+      "NCBI Nucleotide"
+    )
+    val UNIPROTCollectedFrom: KeyValue = OafMapperUtils.keyValue(
+      "10|re3data_____::296e1abaf1302897a6838d3588cd0310",
+      "UniProtKB/Swiss-Prot"
+    )
+    val ElsevierCollectedFrom: KeyValue =
+      OafMapperUtils.keyValue("10|openaire____::8f87e10869299a5fe80b315695296b88", "Elsevier")
+    val springerNatureCollectedFrom: KeyValue = OafMapperUtils.keyValue(
+      "10|openaire____::6e380d9cf51138baec8480f5a0ce3a2e",
+      "Springer Nature"
+    )
+    val EBICollectedFrom: KeyValue = OafMapperUtils.keyValue(
+      "10|opendoar____::83e60e09c222f206c725385f53d7e567c",
+      "EMBL-EBIs Protein Data Bank in Europe (PDBe)"
+    )
+    val pubmedCollectedFrom: KeyValue =
+      OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
 
     UNIPROTCollectedFrom.setDataInfo(DATA_INFO)
     PDBCollectedFrom.setDataInfo(DATA_INFO)
@@ -56,14 +98,14 @@ object BioDBToOAF {
     springerNatureCollectedFrom.setDataInfo(DATA_INFO)
 
     Map(
-      "uniprot" -> UNIPROTCollectedFrom,
+      "uniprot"                     -> UNIPROTCollectedFrom,
-      "pdb" -> PDBCollectedFrom,
+      "pdb"                         -> PDBCollectedFrom,
-      "elsevier" -> ElsevierCollectedFrom,
+      "elsevier"                    -> ElsevierCollectedFrom,
-      "ebi" -> EBICollectedFrom,
+      "ebi"                         -> EBICollectedFrom,
-      "Springer Nature" -> springerNatureCollectedFrom,
+      "Springer Nature"             -> springerNatureCollectedFrom,
-      "NCBI Nucleotide" -> ncbiCollectedFrom,
+      "NCBI Nucleotide"             -> ncbiCollectedFrom,
       "European Nucleotide Archive" -> enaCollectedFrom,
-      "Europe PMC" -> pubmedCollectedFrom
+      "Europe PMC"                  -> pubmedCollectedFrom
     )
   }
 
@@ -80,18 +122,32 @@ object BioDBToOAF {
 
     val date = GraphCleaningFunctions.cleanDate((json \ "LinkedPublicationDate").extract[String])
 
-    createRelation(target_pid, target_pid_type, generate_unresolved_id(source_pid, source_pid_type), collectedFromMap("elsevier"), "relationship", relation_semantic, date)
+    createRelation(
+      target_pid,
+      target_pid_type,
+      generate_unresolved_id(source_pid, source_pid_type),
+      collectedFromMap("elsevier"),
+      "relationship",
+      relation_semantic,
+      date
+    )
 
   }
 
-
   def scholixResolvedToOAF(input: ScholixResolved): Oaf = {
 
     val d = new Dataset
 
     d.setPid(
       List(
-        OafMapperUtils.structuredProperty(input.pid.toLowerCase, input.pidType.toLowerCase, input.pidType.toLowerCase, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, DATA_INFO)
+        OafMapperUtils.structuredProperty(
+          input.pid.toLowerCase,
+          input.pidType.toLowerCase,
+          input.pidType.toLowerCase,
+          ModelConstants.DNET_PID_TYPES,
+          ModelConstants.DNET_PID_TYPES,
+          DATA_INFO
+        )
       ).asJava
     )
 
@@ -101,7 +157,15 @@ object BioDBToOAF {
     d.setId(OafMapperUtils.createOpenaireId(50, s"$nsPrefix::${input.pid.toLowerCase}", true))
 
     if (input.tilte != null && input.tilte.nonEmpty)
-      d.setTitle(List(OafMapperUtils.structuredProperty(input.tilte.head, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)).asJava)
+      d.setTitle(
+        List(
+          OafMapperUtils.structuredProperty(
+            input.tilte.head,
+            ModelConstants.MAIN_TITLE_QUALIFIER,
+            DATA_INFO
+          )
+        ).asJava
+      )
 
     d.setOriginalId(List(input.pid).asJava)
     val i = new Instance
@@ -113,9 +177,23 @@ object BioDBToOAF {
     }
 
     if (input.pidType.equalsIgnoreCase("clinicaltrials.gov"))
-      i.setInstancetype(OafMapperUtils.qualifier("0037", "Clinical Trial", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
+      i.setInstancetype(
+        OafMapperUtils.qualifier(
+          "0037",
+          "Clinical Trial",
+          ModelConstants.DNET_PUBLICATION_RESOURCE,
+          ModelConstants.DNET_PUBLICATION_RESOURCE
+        )
+      )
     else
-      i.setInstancetype(OafMapperUtils.qualifier("0046", "Bioentity", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
+      i.setInstancetype(
+        OafMapperUtils.qualifier(
+          "0046",
+          "Bioentity",
+          ModelConstants.DNET_PUBLICATION_RESOURCE,
+          ModelConstants.DNET_PUBLICATION_RESOURCE
+        )
+      )
 
     if (input.datasource == null || input.datasource.isEmpty)
       return null
@@ -141,7 +219,6 @@ object BioDBToOAF {
     d
   }
 
-
   def uniprotToOAF(input: String): List[Oaf] = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json = parse(input)
@@ -151,7 +228,14 @@ object BioDBToOAF {
 
     d.setPid(
       List(
-        OafMapperUtils.structuredProperty(pid, "uniprot", "uniprot", ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, DATA_INFO)
+        OafMapperUtils.structuredProperty(
+          pid,
+          "uniprot",
+          "uniprot",
+          ModelConstants.DNET_PID_TYPES,
+          ModelConstants.DNET_PID_TYPES,
+          DATA_INFO
+        )
       ).asJava
     )
 
@@ -162,32 +246,52 @@ object BioDBToOAF {
     val title: String = (json \ "title").extractOrElse[String](null)
 
     if (title != null)
-      d.setTitle(List(OafMapperUtils.structuredProperty(title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)).asJava)
+      d.setTitle(
+        List(
+          OafMapperUtils.structuredProperty(title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)
+        ).asJava
+      )
 
     d.setOriginalId(List(pid).asJava)
     val i = new Instance
 
     i.setPid(d.getPid)
     i.setUrl(List(s"https://www.uniprot.org/uniprot/$pid").asJava)
-    i.setInstancetype(OafMapperUtils.qualifier("0046", "Bioentity", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
+    i.setInstancetype(
+      OafMapperUtils.qualifier(
+        "0046",
+        "Bioentity",
+        ModelConstants.DNET_PUBLICATION_RESOURCE,
+        ModelConstants.DNET_PUBLICATION_RESOURCE
+      )
+    )
 
     i.setCollectedfrom(collectedFromMap("uniprot"))
     d.setInstance(List(i).asJava)
 
     val dates: List[UniprotDate] = for {
-      JObject(dateOBJ) <- json \ "dates"
+      JObject(dateOBJ)                        <- json \ "dates"
-      JField("date", JString(date)) <- dateOBJ
+      JField("date", JString(date))           <- dateOBJ
       JField("date_info", JString(date_info)) <- dateOBJ
     } yield UniprotDate(GraphCleaningFunctions.cleanDate(date), date_info)
 
     val subjects: List[String] = (json \\ "subjects").extractOrElse[List[String]](null)
 
-
     if (subjects != null) {
       d.setSubject(
-        subjects.map(s =>
+        subjects
-          OafMapperUtils.structuredProperty(s, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, null)
+          .map(s =>
-        ).asJava)
+            OafMapperUtils.structuredProperty(
+              s,
+              SUBJ_CLASS,
+              SUBJ_CLASS,
+              ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+              ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+              null
+            )
+          )
+          .asJava
+      )
     }
     var i_date: Option[UniprotDate] = None
 
@@ -197,45 +301,73 @@ object BioDBToOAF {
         i.setDateofacceptance(OafMapperUtils.field(i_date.get.date, DATA_INFO))
         d.setDateofacceptance(OafMapperUtils.field(i_date.get.date, DATA_INFO))
       }
-      val relevant_dates: List[StructuredProperty] = dates.filter(d => !d.date_info.contains("entry version"))
+      val relevant_dates: List[StructuredProperty] = dates
-        .map(date => OafMapperUtils.structuredProperty(date.date, ModelConstants.UNKNOWN, ModelConstants.UNKNOWN, ModelConstants.DNET_DATACITE_DATE, ModelConstants.DNET_DATACITE_DATE, DATA_INFO))
+        .filter(d => !d.date_info.contains("entry version"))
+        .map(date =>
+          OafMapperUtils.structuredProperty(
+            date.date,
+            ModelConstants.UNKNOWN,
+            ModelConstants.UNKNOWN,
+            ModelConstants.DNET_DATACITE_DATE,
+            ModelConstants.DNET_DATACITE_DATE,
+            DATA_INFO
+          )
+        )
       if (relevant_dates != null && relevant_dates.nonEmpty)
         d.setRelevantdate(relevant_dates.asJava)
       d.setDateofacceptance(OafMapperUtils.field(i_date.get.date, DATA_INFO))
     }
 
-
     val references_pmid: List[String] = for {
-      JObject(reference) <- json \ "references"
+      JObject(reference)             <- json \ "references"
       JField("PubMed", JString(pid)) <- reference
     } yield pid
 
     val references_doi: List[String] = for {
-      JObject(reference) <- json \ "references"
+      JObject(reference)           <- json \ "references"
       JField(" DOI", JString(pid)) <- reference
     } yield pid
 
-
     if (references_pmid != null && references_pmid.nonEmpty) {
-      val rel = createRelation(references_pmid.head, "pmid", d.getId, collectedFromMap("uniprot"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, if (i_date.isDefined) i_date.get.date else null)
+      val rel = createRelation(
+        references_pmid.head,
+        "pmid",
+        d.getId,
+        collectedFromMap("uniprot"),
+        ModelConstants.RELATIONSHIP,
+        ModelConstants.IS_RELATED_TO,
+        if (i_date.isDefined) i_date.get.date else null
+      )
       rel.getCollectedfrom
       List(d, rel)
-    }
+    } else if (references_doi != null && references_doi.nonEmpty) {
-    else if (references_doi != null && references_doi.nonEmpty) {
+      val rel = createRelation(
-      val rel = createRelation(references_doi.head, "doi", d.getId, collectedFromMap("uniprot"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, if (i_date.isDefined) i_date.get.date else null)
+        references_doi.head,
+        "doi",
+        d.getId,
+        collectedFromMap("uniprot"),
+        ModelConstants.RELATIONSHIP,
+        ModelConstants.IS_RELATED_TO,
+        if (i_date.isDefined) i_date.get.date else null
+      )
       List(d, rel)
-    }
+    } else
-    else
       List(d)
   }
 
-
   def generate_unresolved_id(pid: String, pidType: String): String = {
     s"unresolved::$pid::$pidType"
   }
 
-
+  def createRelation(
-  def createRelation(pid: String, pidType: String, sourceId: String, collectedFrom: KeyValue, subRelType: String, relClass: String, date: String): Relation = {
+    pid: String,
+    pidType: String,
+    sourceId: String,
+    collectedFrom: KeyValue,
+    subRelType: String,
+    relClass: String,
+    date: String
+  ): Relation = {
 
     val rel = new Relation
     rel.setCollectedfrom(List(collectedFromMap("pdb")).asJava)
@@ -248,7 +380,6 @@ object BioDBToOAF {
     rel.setSource(sourceId)
     rel.setTarget(s"unresolved::$pid::$pidType")
 
-
     val dateProps: KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date)
 
     rel.setProperties(List(dateProps).asJava)
@@ -259,12 +390,24 @@ object BioDBToOAF {
 
   }
 
-
+  def createSupplementaryRelation(
-  def createSupplementaryRelation(pid: String, pidType: String, sourceId: String, collectedFrom: KeyValue, date: String): Relation = {
+    pid: String,
-    createRelation(pid, pidType, sourceId, collectedFrom, ModelConstants.SUPPLEMENT, ModelConstants.IS_SUPPLEMENT_TO, date)
+    pidType: String,
+    sourceId: String,
+    collectedFrom: KeyValue,
+    date: String
+  ): Relation = {
+    createRelation(
+      pid,
+      pidType,
+      sourceId,
+      collectedFrom,
+      ModelConstants.SUPPLEMENT,
+      ModelConstants.IS_SUPPLEMENT_TO,
+      date
+    )
   }
 
-
   def pdbTOOaf(input: String): List[Oaf] = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json = parse(input)
@@ -277,7 +420,14 @@ object BioDBToOAF {
 
     d.setPid(
       List(
-        OafMapperUtils.structuredProperty(pdb, "pdb", "Protein Data Bank Identifier", ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, DATA_INFO)
+        OafMapperUtils.structuredProperty(
+          pdb,
+          "pdb",
+          "Protein Data Bank Identifier",
+          ModelConstants.DNET_PID_TYPES,
+          ModelConstants.DNET_PID_TYPES,
+          DATA_INFO
+        )
       ).asJava
     )
 
@@ -290,13 +440,16 @@ object BioDBToOAF {
 
     if (title == null)
       return List()
-    d.setTitle(List(OafMapperUtils.structuredProperty(title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)).asJava)
+    d.setTitle(
+      List(
+        OafMapperUtils.structuredProperty(title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)
+      ).asJava
+    )
 
     val authors: List[String] = (json \ "authors").extractOrElse[List[String]](null)
 
     if (authors != null) {
       val convertedAuthors = authors.zipWithIndex.map { a =>
-
         val res = new Author
         res.setFullname(a._1)
         res.setRank(a._2 + 1)
@@ -310,7 +463,14 @@ object BioDBToOAF {
 
     i.setPid(d.getPid)
     i.setUrl(List(s"https://www.rcsb.org/structure/$pdb").asJava)
-    i.setInstancetype(OafMapperUtils.qualifier("0046", "Bioentity", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
+    i.setInstancetype(
+      OafMapperUtils.qualifier(
+        "0046",
+        "Bioentity",
+        ModelConstants.DNET_PUBLICATION_RESOURCE,
+        ModelConstants.DNET_PUBLICATION_RESOURCE
+      )
+    )
 
     i.setCollectedfrom(collectedFromMap("pdb"))
     d.setInstance(List(i).asJava)
@@ -323,7 +483,6 @@ object BioDBToOAF {
       List(d)
   }
 
-
   def extractEBILinksFromDump(input: String): EBILinkItem = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json = parse(input)
@@ -333,49 +492,70 @@ object BioDBToOAF {
     EBILinkItem(pmid.toLong, compact(render(links)))
   }
 
-
   def EBITargetLinksFilter(input: EBILinks): Boolean = {
 
-    input.targetPidType.equalsIgnoreCase("ena") || input.targetPidType.equalsIgnoreCase("pdb") || input.targetPidType.equalsIgnoreCase("uniprot")
+    input.targetPidType.equalsIgnoreCase("ena") || input.targetPidType.equalsIgnoreCase(
+      "pdb"
+    ) || input.targetPidType.equalsIgnoreCase("uniprot")
 
   }
 
-
   def parse_ebi_links(input: String): List[EBILinks] = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json = parse(input)
     val pmid = (json \ "request" \ "id").extract[String]
     for {
-      JObject(link) <- json \\ "Link"
+      JObject(link)                                       <- json \\ "Link"
-      JField("Target", JObject(target)) <- link
+      JField("Target", JObject(target))                   <- link
-      JField("RelationshipType", JObject(relType)) <- link
+      JField("RelationshipType", JObject(relType))        <- link
-      JField("Name", JString(relation)) <- relType
+      JField("Name", JString(relation))                   <- relType
       JField("PublicationDate", JString(publicationDate)) <- link
-      JField("Title", JString(title)) <- target
+      JField("Title", JString(title))                     <- target
-      JField("Identifier", JObject(identifier)) <- target
+      JField("Identifier", JObject(identifier))           <- target
-      JField("IDScheme", JString(idScheme)) <- identifier
+      JField("IDScheme", JString(idScheme))               <- identifier
-      JField("IDURL", JString(idUrl)) <- identifier
+      JField("IDURL", JString(idUrl))                     <- identifier
-      JField("ID", JString(id)) <- identifier
+      JField("ID", JString(id))                           <- identifier
 
-    } yield EBILinks(relation, GraphCleaningFunctions.cleanDate(publicationDate), title, pmid, id, idScheme, idUrl)
+    } yield EBILinks(
+      relation,
+      GraphCleaningFunctions.cleanDate(publicationDate),
+      title,
+      pmid,
+      id,
+      idScheme,
+      idUrl
+    )
   }
 
-
   def convertEBILinksToOaf(input: EBILinks): List[Oaf] = {
     val d = new Dataset
     d.setCollectedfrom(List(collectedFromMap("ebi")).asJava)
     d.setDataInfo(DATA_INFO)
-    d.setTitle(List(OafMapperUtils.structuredProperty(input.title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)).asJava)
+    d.setTitle(
+      List(
+        OafMapperUtils.structuredProperty(
+          input.title,
+          ModelConstants.MAIN_TITLE_QUALIFIER,
+          DATA_INFO
+        )
+      ).asJava
+    )
 
     val nsPrefix = input.targetPidType.toLowerCase.padTo(12, '_')
 
     d.setId(OafMapperUtils.createOpenaireId(50, s"$nsPrefix::${input.targetPid.toLowerCase}", true))
     d.setOriginalId(List(input.targetPid.toLowerCase).asJava)
 
-
     d.setPid(
       List(
-        OafMapperUtils.structuredProperty(input.targetPid.toLowerCase, input.targetPidType.toLowerCase, "Protein Data Bank Identifier", ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, DATA_INFO)
+        OafMapperUtils.structuredProperty(
+          input.targetPid.toLowerCase,
+          input.targetPidType.toLowerCase,
+          "Protein Data Bank Identifier",
+          ModelConstants.DNET_PID_TYPES,
+          ModelConstants.DNET_PID_TYPES,
+          DATA_INFO
+        )
       ).asJava
     )
 
@@ -383,13 +563,35 @@ object BioDBToOAF {
 
     i.setPid(d.getPid)
     i.setUrl(List(input.targetUrl).asJava)
-    i.setInstancetype(OafMapperUtils.qualifier("0046", "Bioentity", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
+    i.setInstancetype(
+      OafMapperUtils.qualifier(
+        "0046",
+        "Bioentity",
+        ModelConstants.DNET_PUBLICATION_RESOURCE,
+        ModelConstants.DNET_PUBLICATION_RESOURCE
+      )
+    )
 
     i.setCollectedfrom(collectedFromMap("ebi"))
     d.setInstance(List(i).asJava)
-    i.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(input.date), DATA_INFO))
+    i.setDateofacceptance(
-    d.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(input.date), DATA_INFO))
+      OafMapperUtils.field(GraphCleaningFunctions.cleanDate(input.date), DATA_INFO)
+    )
+    d.setDateofacceptance(
+      OafMapperUtils.field(GraphCleaningFunctions.cleanDate(input.date), DATA_INFO)
+    )
 
-    List(d, createRelation(input.pmid, "pmid", d.getId, collectedFromMap("ebi"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, GraphCleaningFunctions.cleanDate(input.date)))
+    List(
+      d,
+      createRelation(
+        input.pmid,
+        "pmid",
+        d.getId,
+        collectedFromMap("ebi"),
+        ModelConstants.RELATIONSHIP,
+        ModelConstants.IS_RELATED_TO,
+        GraphCleaningFunctions.cleanDate(input.date)
+      )
+    )
   }
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/SparkTransformBioDatabaseToOAF.scala

@@ -14,7 +14,11 @@ object SparkTransformBioDatabaseToOAF {
   def main(args: Array[String]): Unit = {
     val conf: SparkConf = new SparkConf()
     val log: Logger = LoggerFactory.getLogger(getClass)
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/bio_to_oaf_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/bio_to_oaf_params.json")
+      )
+    )
     parser.parseArgument(args)
     val database: String = parser.get("database")
     log.info("database: {}", database)
@@ -29,20 +33,33 @@ object SparkTransformBioDatabaseToOAF {
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
     val sc = spark.sparkContext
 
     implicit val resultEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
     import spark.implicits._
     database.toUpperCase() match {
       case "UNIPROT" =>
-        CollectionUtils.saveDataset(spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))), targetPath)
+        CollectionUtils.saveDataset(
+          spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))),
+          targetPath
+        )
       case "PDB" =>
-        CollectionUtils.saveDataset(spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))), targetPath)
+        CollectionUtils.saveDataset(
+          spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))),
+          targetPath
+        )
       case "SCHOLIX" =>
-        CollectionUtils.saveDataset(spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)), targetPath)
+        CollectionUtils.saveDataset(
+          spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)),
+          targetPath
+        )
       case "CROSSREF_LINKS" =>
-        CollectionUtils.saveDataset(spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))), targetPath)
+        CollectionUtils.saveDataset(
+          spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))),
+          targetPath
+        )
     }
   }
 

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala

@@ -24,31 +24,37 @@ import scala.xml.pull.XMLEventReader
 
 object SparkCreateBaselineDataFrame {
 
-
   def requestBaseLineUpdatePage(maxFile: String): List[(String, String)] = {
     val data = requestPage("https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/")
 
-    val result = data.lines.filter(l => l.startsWith("<a href=")).map { l =>
+    val result = data.lines
-      val end = l.lastIndexOf("\">")
+      .filter(l => l.startsWith("<a href="))
-      val start = l.indexOf("<a href=\"")
+      .map { l =>
+        val end = l.lastIndexOf("\">")
+        val start = l.indexOf("<a href=\"")
 
-      if (start >= 0 && end > start)
+        if (start >= 0 && end > start)
-        l.substring(start + 9, end - start)
+          l.substring(start + 9, end - start)
-      else
+        else
-        ""
+          ""
-    }.filter(s => s.endsWith(".gz")).filter(s => s > maxFile).map(s => (s, s"https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/$s")).toList
+      }
+      .filter(s => s.endsWith(".gz"))
+      .filter(s => s > maxFile)
+      .map(s => (s, s"https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/$s"))
+      .toList
 
     result
   }
 
-
   def downloadBaselinePart(url: String): InputStream = {
     val r = new HttpGet(url)
     val timeout = 60; // seconds
-    val config = RequestConfig.custom()
+    val config = RequestConfig
+      .custom()
       .setConnectTimeout(timeout * 1000)
       .setConnectionRequestTimeout(timeout * 1000)
-      .setSocketTimeout(timeout * 1000).build()
+      .setSocketTimeout(timeout * 1000)
+      .build()
     val client = HttpClientBuilder.create().setDefaultRequestConfig(config).build()
     val response = client.execute(r)
     println(s"get response with status${response.getStatusLine.getStatusCode}")
@@ -59,10 +65,12 @@ object SparkCreateBaselineDataFrame {
   def requestPage(url: String): String = {
     val r = new HttpGet(url)
     val timeout = 60; // seconds
-    val config = RequestConfig.custom()
+    val config = RequestConfig
+      .custom()
       .setConnectTimeout(timeout * 1000)
       .setConnectionRequestTimeout(timeout * 1000)
-      .setSocketTimeout(timeout * 1000).build()
+      .setSocketTimeout(timeout * 1000)
+      .build()
     val client = HttpClientBuilder.create().setDefaultRequestConfig(config).build()
     try {
       var tries = 4
@@ -73,8 +81,7 @@ object SparkCreateBaselineDataFrame {
           println(s"get response with status${response.getStatusLine.getStatusCode}")
           if (response.getStatusLine.getStatusCode > 400) {
             tries -= 1
-          }
+          } else
-          else
             return IOUtils.toString(response.getEntity.getContent)
         } catch {
           case e: Throwable =>
@@ -90,10 +97,8 @@ object SparkCreateBaselineDataFrame {
     }
   }
 
-
   def downloadBaseLineUpdate(baselinePath: String, hdfsServerUri: String): Unit = {
 
-
     val conf = new Configuration
     conf.set("fs.defaultFS", hdfsServerUri)
     val fs = FileSystem.get(conf)
@@ -122,31 +127,36 @@ object SparkCreateBaselineDataFrame {
 
   }
 
+  val pmArticleAggregator: Aggregator[(String, PMArticle), PMArticle, PMArticle] =
+    new Aggregator[(String, PMArticle), PMArticle, PMArticle] with Serializable {
+      override def zero: PMArticle = new PMArticle
 
-  val pmArticleAggregator: Aggregator[(String, PMArticle), PMArticle, PMArticle] = new Aggregator[(String, PMArticle), PMArticle, PMArticle] with Serializable {
+      override def reduce(b: PMArticle, a: (String, PMArticle)): PMArticle = {
-    override def zero: PMArticle = new PMArticle
+        if (b != null && b.getPmid != null) b else a._2
+      }
 
-    override def reduce(b: PMArticle, a: (String, PMArticle)): PMArticle = {
+      override def merge(b1: PMArticle, b2: PMArticle): PMArticle = {
-      if (b != null && b.getPmid != null) b else a._2
+        if (b1 != null && b1.getPmid != null) b1 else b2
+
+      }
+
+      override def finish(reduction: PMArticle): PMArticle = reduction
+
+      override def bufferEncoder: Encoder[PMArticle] = Encoders.kryo[PMArticle]
+
+      override def outputEncoder: Encoder[PMArticle] = Encoders.kryo[PMArticle]
     }
 
-    override def merge(b1: PMArticle, b2: PMArticle): PMArticle = {
-      if (b1 != null && b1.getPmid != null) b1 else b2
-
-    }
-
-    override def finish(reduction: PMArticle): PMArticle = reduction
-
-    override def bufferEncoder: Encoder[PMArticle] = Encoders.kryo[PMArticle]
-
-    override def outputEncoder: Encoder[PMArticle] = Encoders.kryo[PMArticle]
-  }
-
-
   def main(args: Array[String]): Unit = {
     val conf: SparkConf = new SparkConf()
     val log: Logger = LoggerFactory.getLogger(getClass)
-    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkEBILinksToOaf.getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/baseline_to_oaf_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        SparkEBILinksToOaf.getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/sx/bio/ebi/baseline_to_oaf_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val isLookupUrl: String = parser.get("isLookupUrl")
     log.info("isLookupUrl: {}", isLookupUrl)
@@ -162,7 +172,6 @@ object SparkCreateBaselineDataFrame {
     val skipUpdate = parser.get("skipUpdate")
     log.info("skipUpdate: {}", skipUpdate)
 
-
     val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
     val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
     val spark: SparkSession =
@@ -170,7 +179,8 @@ object SparkCreateBaselineDataFrame {
         .builder()
         .config(conf)
         .appName(SparkEBILinksToOaf.getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val sc = spark.sparkContext
     import spark.implicits._
@@ -183,20 +193,30 @@ object SparkCreateBaselineDataFrame {
     if (!"true".equalsIgnoreCase(skipUpdate)) {
       downloadBaseLineUpdate(s"$workingPath/baseline", hdfsServerUri)
       val k: RDD[(String, String)] = sc.wholeTextFiles(s"$workingPath/baseline", 2000)
-      val ds: Dataset[PMArticle] = spark.createDataset(k.filter(i => i._1.endsWith(".gz")).flatMap(i => {
+      val ds: Dataset[PMArticle] = spark.createDataset(
-        val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
+        k.filter(i => i._1.endsWith(".gz"))
-        new PMParser(xml)
+          .flatMap(i => {
-      }))
+            val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
-      ds.map(p => (p.getPmid, p))(Encoders.tuple(Encoders.STRING, PMEncoder)).groupByKey(_._1)
+            new PMParser(xml)
+          })
+      )
+      ds.map(p => (p.getPmid, p))(Encoders.tuple(Encoders.STRING, PMEncoder))
+        .groupByKey(_._1)
         .agg(pmArticleAggregator.toColumn)
-        .map(p => p._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_dataset")
+        .map(p => p._2)
+        .write
+        .mode(SaveMode.Overwrite)
+        .save(s"$workingPath/baseline_dataset")
     }
 
     val exported_dataset = spark.read.load(s"$workingPath/baseline_dataset").as[PMArticle]
-    CollectionUtils.saveDataset(exported_dataset
+    CollectionUtils.saveDataset(
-      .map(a => PubMedToOaf.convert(a, vocabularies)).as[Oaf]
+      exported_dataset
-      .filter(p => p != null),
+        .map(a => PubMedToOaf.convert(a, vocabularies))
-      targetPath)
+        .as[Oaf]
+        .filter(p => p != null),
+      targetPath
+    )
 
   }
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkDownloadEBILinks.scala

@@ -25,10 +25,12 @@ object SparkDownloadEBILinks {
   def requestPage(url: String): String = {
     val r = new HttpGet(url)
     val timeout = 60; // seconds
-    val config = RequestConfig.custom()
+    val config = RequestConfig
+      .custom()
       .setConnectTimeout(timeout * 1000)
       .setConnectionRequestTimeout(timeout * 1000)
-      .setSocketTimeout(timeout * 1000).build()
+      .setSocketTimeout(timeout * 1000)
+      .build()
     val client = HttpClientBuilder.create().setDefaultRequestConfig(config).build()
     try {
       var tries = 4
@@ -39,8 +41,7 @@ object SparkDownloadEBILinks {
           println(s"get response with status${response.getStatusLine.getStatusCode}")
           if (response.getStatusLine.getStatusCode > 400) {
             tries -= 1
-          }
+          } else
-          else
             return IOUtils.toString(response.getEntity.getContent)
         } catch {
           case e: Throwable =>
@@ -66,14 +67,19 @@ object SparkDownloadEBILinks {
     val log: Logger = LoggerFactory.getLogger(getClass)
     val MAX_ITEM_PER_PARTITION = 20000
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/ebi_download_update.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/ebi_download_update.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(SparkEBILinksToOaf.getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     import spark.implicits._
 
@@ -87,22 +93,40 @@ object SparkDownloadEBILinks {
     log.info(s"workingPath  -> $workingPath")
 
     log.info("Getting max pubmedId where the links have already requested")
-    val links: Dataset[EBILinkItem] = spark.read.load(s"$sourcePath/ebi_links_dataset").as[EBILinkItem]
+    val links: Dataset[EBILinkItem] =
+      spark.read.load(s"$sourcePath/ebi_links_dataset").as[EBILinkItem]
     val lastPMIDRequested = links.map(l => l.id).select(max("value")).first.getLong(0)
 
     log.info("Retrieving PMID to request links")
     val pubmed = spark.read.load(s"$sourcePath/baseline_dataset").as[PMArticle]
-    pubmed.map(p => p.getPmid.toLong).where(s"value > $lastPMIDRequested").write.mode(SaveMode.Overwrite).save(s"$workingPath/id_to_request")
+    pubmed
+      .map(p => p.getPmid.toLong)
+      .where(s"value > $lastPMIDRequested")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/id_to_request")
 
     val pmidToReq: Dataset[Long] = spark.read.load(s"$workingPath/id_to_request").as[Long]
 
     val total = pmidToReq.count()
 
-    spark.createDataset(pmidToReq.rdd.repartition((total / MAX_ITEM_PER_PARTITION).toInt).map(pmid => createEBILinks(pmid)).filter(l => l != null)).write.mode(SaveMode.Overwrite).save(s"$workingPath/links_update")
+    spark
+      .createDataset(
+        pmidToReq.rdd
+          .repartition((total / MAX_ITEM_PER_PARTITION).toInt)
+          .map(pmid => createEBILinks(pmid))
+          .filter(l => l != null)
+      )
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/links_update")
 
-    val updates: Dataset[EBILinkItem] = spark.read.load(s"$workingPath/links_update").as[EBILinkItem]
+    val updates: Dataset[EBILinkItem] =
+      spark.read.load(s"$workingPath/links_update").as[EBILinkItem]
 
-    links.union(updates).groupByKey(_.id)
+    links
+      .union(updates)
+      .groupByKey(_.id)
       .reduceGroups { (x, y) =>
         if (x == null || x.links == null)
           y
@@ -112,6 +136,10 @@ object SparkDownloadEBILinks {
           x
         else
           y
-      }.map(_._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/links_final")
+      }
+      .map(_._2)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/links_final")
   }
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkEBILinksToOaf.scala

@@ -15,15 +15,19 @@ object SparkEBILinksToOaf {
   def main(args: Array[String]): Unit = {
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/ebi_to_df_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/ebi_to_df_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(SparkEBILinksToOaf.getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     import spark.implicits._
     val sourcePath = parser.get("sourcePath")
@@ -32,11 +36,17 @@ object SparkEBILinksToOaf {
     log.info(s"targetPath  -> $targetPath")
     implicit val PMEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
 
-    val ebLinks: Dataset[EBILinkItem] = spark.read.load(sourcePath).as[EBILinkItem].filter(l => l.links != null && l.links.startsWith("{"))
+    val ebLinks: Dataset[EBILinkItem] = spark.read
+      .load(sourcePath)
+      .as[EBILinkItem]
+      .filter(l => l.links != null && l.links.startsWith("{"))
 
-    CollectionUtils.saveDataset(ebLinks.flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
+    CollectionUtils.saveDataset(
-      .filter(p => BioDBToOAF.EBITargetLinksFilter(p))
+      ebLinks
-      .flatMap(p => BioDBToOAF.convertEBILinksToOaf(p)),
+        .flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
-      targetPath)
+        .filter(p => BioDBToOAF.EBITargetLinksFilter(p))
+        .flatMap(p => BioDBToOAF.convertEBILinksToOaf(p)),
+      targetPath
+    )
   }
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PMParser.scala

@@ -3,16 +3,13 @@ package eu.dnetlib.dhp.sx.bio.pubmed
 import scala.xml.MetaData
 import scala.xml.pull.{EvElemEnd, EvElemStart, EvText, XMLEventReader}
 
+/** @param xml
+  */
+class PMParser(xml: XMLEventReader) extends Iterator[PMArticle] {
 
-/**
+  var currentArticle: PMArticle = generateNextArticle()
- *
- * @param xml
- */
-class PMParser(xml:XMLEventReader) extends Iterator[PMArticle] {
 
-  var currentArticle:PMArticle = generateNextArticle()
+  override def hasNext: Boolean = currentArticle != null
-
-  override def hasNext: Boolean = currentArticle!= null
 
   override def next(): PMArticle = {
     val tmp = currentArticle
@@ -20,33 +17,30 @@ class PMParser(xml:XMLEventReader) extends Iterator[PMArticle] {
     tmp
   }
 
-  def extractAttributes(attrs:MetaData, key:String):String = {
+  def extractAttributes(attrs: MetaData, key: String): String = {
 
     val res = attrs.get(key)
     if (res.isDefined) {
-      val s =res.get
+      val s = res.get
       if (s != null && s.nonEmpty)
         s.head.text
       else
         null
-    }
+    } else null
-    else null
   }
 
-
+  def validate_Date(year: String, month: String, day: String): String = {
-  def validate_Date(year:String, month:String, day:String):String = {
     try {
       f"${year.toInt}-${month.toInt}%02d-${day.toInt}%02d"
 
     } catch {
-      case _: Throwable =>null
+      case _: Throwable => null
     }
   }
 
-  def generateNextArticle():PMArticle = {
+  def generateNextArticle(): PMArticle = {
 
-
+    var currentSubject: PMSubject = null
-    var currentSubject:PMSubject = null
     var currentAuthor: PMAuthor = null
     var currentJournal: PMJournal = null
     var currentGrant: PMGrant = null
@@ -54,12 +48,7 @@ class PMParser(xml:XMLEventReader) extends Iterator[PMArticle] {
     var currentYear = "0"
     var currentMonth = "01"
     var currentDay = "01"
-    var currentArticleType:String = null
+    var currentArticleType: String = null
-
-
-
-
-
 
     while (xml.hasNext) {
       xml.next match {
@@ -68,64 +57,67 @@ class PMParser(xml:XMLEventReader) extends Iterator[PMArticle] {
 
           label match {
             case "PubmedArticle" => currentArticle = new PMArticle
-            case "Author" => currentAuthor = new PMAuthor
+            case "Author"        => currentAuthor = new PMAuthor
-            case "Journal" => currentJournal = new PMJournal
+            case "Journal"       => currentJournal = new PMJournal
-            case "Grant" => currentGrant = new PMGrant
+            case "Grant"         => currentGrant = new PMGrant
             case "PublicationType" | "DescriptorName" =>
               currentSubject = new PMSubject
               currentSubject.setMeshId(extractAttributes(attrs, "UI"))
-            case "ArticleId" => currentArticleType = extractAttributes(attrs,"IdType")
+            case "ArticleId" => currentArticleType = extractAttributes(attrs, "IdType")
-            case _ =>
+            case _           =>
           }
         case EvElemEnd(_, label) =>
           label match {
             case "PubmedArticle" => return currentArticle
-            case "Author" => currentArticle.getAuthors.add(currentAuthor)
+            case "Author"        => currentArticle.getAuthors.add(currentAuthor)
-            case "Journal" => currentArticle.setJournal(currentJournal)
+            case "Journal"       => currentArticle.setJournal(currentJournal)
-            case "Grant" => currentArticle.getGrants.add(currentGrant)
+            case "Grant"         => currentArticle.getGrants.add(currentGrant)
-            case "PubMedPubDate" => if (currentArticle.getDate== null)
+            case "PubMedPubDate" =>
-              currentArticle.setDate(validate_Date(currentYear,currentMonth,currentDay))
+              if (currentArticle.getDate == null)
-            case "PubDate" => currentJournal.setDate(s"$currentYear-$currentMonth-$currentDay")
+                currentArticle.setDate(validate_Date(currentYear, currentMonth, currentDay))
-            case "DescriptorName" => currentArticle.getSubjects.add(currentSubject)
+            case "PubDate"         => currentJournal.setDate(s"$currentYear-$currentMonth-$currentDay")
-            case "PublicationType" =>currentArticle.getPublicationTypes.add(currentSubject)
+            case "DescriptorName"  => currentArticle.getSubjects.add(currentSubject)
-            case _ =>
+            case "PublicationType" => currentArticle.getPublicationTypes.add(currentSubject)
+            case _                 =>
           }
         case EvText(text) =>
-          if (currNode!= null && text.trim.nonEmpty)
+          if (currNode != null && text.trim.nonEmpty)
             currNode match {
               case "ArticleTitle" => {
-                if (currentArticle.getTitle==null)
+                if (currentArticle.getTitle == null)
                   currentArticle.setTitle(text.trim)
                 else
                   currentArticle.setTitle(currentArticle.getTitle + text.trim)
               }
               case "AbstractText" => {
-                if (currentArticle.getDescription==null)
+                if (currentArticle.getDescription == null)
                   currentArticle.setDescription(text.trim)
                 else
                   currentArticle.setDescription(currentArticle.getDescription + text.trim)
               }
               case "PMID" => currentArticle.setPmid(text.trim)
-              case "ArticleId" => if ("doi".equalsIgnoreCase(currentArticleType)) currentArticle.setDoi(text.trim)
+              case "ArticleId" =>
-              case "Language" => currentArticle.setLanguage(text.trim)
+                if ("doi".equalsIgnoreCase(currentArticleType)) currentArticle.setDoi(text.trim)
-              case "ISSN" => currentJournal.setIssn(text.trim)
+              case "Language"                           => currentArticle.setLanguage(text.trim)
-              case "GrantID" => currentGrant.setGrantID(text.trim)
+              case "ISSN"                               => currentJournal.setIssn(text.trim)
-              case "Agency" => currentGrant.setAgency(text.trim)
+              case "GrantID"                            => currentGrant.setGrantID(text.trim)
-              case "Country" => if (currentGrant != null) currentGrant.setCountry(text.trim)
+              case "Agency"                             => currentGrant.setAgency(text.trim)
-              case "Year" => currentYear = text.trim
+              case "Country"                            => if (currentGrant != null) currentGrant.setCountry(text.trim)
-              case "Month" => currentMonth = text.trim
+              case "Year"                               => currentYear = text.trim
-              case "Day" => currentDay = text.trim
+              case "Month"                              => currentMonth = text.trim
-              case "Volume" => currentJournal.setVolume( text.trim)
+              case "Day"                                => currentDay = text.trim
-              case "Issue" => currentJournal.setIssue (text.trim)
+              case "Volume"                             => currentJournal.setVolume(text.trim)
+              case "Issue"                              => currentJournal.setIssue(text.trim)
               case "PublicationType" | "DescriptorName" => currentSubject.setValue(text.trim)
               case "LastName" => {
                 if (currentAuthor != null)
                   currentAuthor.setLastName(text.trim)
               }
-              case "ForeName" => if (currentAuthor != null)
+              case "ForeName" =>
-                currentAuthor.setForeName(text.trim)
+                if (currentAuthor != null)
+                  currentAuthor.setForeName(text.trim)
               case "Title" =>
-                if (currentJournal.getTitle==null)
+                if (currentJournal.getTitle == null)
                   currentJournal.setTitle(text.trim)
                 else
                   currentJournal.setTitle(currentJournal.getTitle + text.trim)
@@ -139,8 +131,3 @@ class PMParser(xml:XMLEventReader) extends Iterator[PMArticle] {
     null
   }
 }
-
-
-
-
-

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala

@@ -9,31 +9,38 @@ import collection.JavaConverters._
 import java.util.regex.Pattern
 
 /**
- *
+  */
- */
 object PubMedToOaf {
 
   val SUBJ_CLASS = "keywords"
+
   val urlMap = Map(
     "pmid" -> "https://pubmed.ncbi.nlm.nih.gov/",
-    "doi" -> "https://dx.doi.org/"
+    "doi"  -> "https://dx.doi.org/"
   )
-  val dataInfo: DataInfo = OafMapperUtils.dataInfo(false, null, false, false, ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER, "0.9")
-  val collectedFrom: KeyValue = OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
 
+  val dataInfo: DataInfo = OafMapperUtils.dataInfo(
+    false,
+    null,
+    false,
+    false,
+    ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER,
+    "0.9"
+  )
 
-  /**
+  val collectedFrom: KeyValue =
-   * Cleaning the DOI Applying regex in order to
+    OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
-   * remove doi starting with URL
+
-   *
+  /** Cleaning the DOI Applying regex in order to
-   * @param doi input DOI
+    * remove doi starting with URL
-   * @return cleaned DOI
+    *
-   */
+    * @param doi input DOI
+    * @return cleaned DOI
+    */
   def cleanDoi(doi: String): String = {
 
     val regex = "^10.\\d{4,9}\\/[\\[\\]\\-\\<\\>._;()\\/:A-Z0-9]+$"
 
-
     val pattern = Pattern.compile(regex, Pattern.CASE_INSENSITIVE)
     val matcher = pattern.matcher(doi)
 
@@ -43,33 +50,34 @@ object PubMedToOaf {
     null
   }
 
-  /**
+  /** Create an instance of class extends Result
-   *
+    * starting from OAF instanceType value
-   * Create an instance of class extends Result
+    *
-   * starting from OAF instanceType value
+    * @param cobjQualifier OAF instance type
-   *
+    * @param vocabularies  All dnet vocabularies
-   * @param cobjQualifier OAF instance type
+    * @return the correct instance
-   * @param vocabularies  All dnet vocabularies
+    */
-   * @return the correct instance
-   */
   def createResult(cobjQualifier: Qualifier, vocabularies: VocabularyGroup): Result = {
-    val result_typologies = getVocabularyTerm(ModelConstants.DNET_RESULT_TYPOLOGIES, vocabularies, cobjQualifier.getClassid)
+    val result_typologies = getVocabularyTerm(
+      ModelConstants.DNET_RESULT_TYPOLOGIES,
+      vocabularies,
+      cobjQualifier.getClassid
+    )
     result_typologies.getClassid match {
-      case "dataset" => new Dataset
+      case "dataset"     => new Dataset
       case "publication" => new Publication
-      case "other" => new OtherResearchProduct
+      case "other"       => new OtherResearchProduct
-      case "software" => new Software
+      case "software"    => new Software
-      case _ => null
+      case _             => null
 
     }
   }
 
-  /**
+  /** Mapping the Pubmedjournal info into the OAF Journale
-   * Mapping the Pubmedjournal info into the OAF Journale
+    *
-   *
+    * @param j the pubmedJournal
-   * @param j the pubmedJournal
+    * @return the OAF Journal
-   * @return the OAF Journal
+    */
-   */
   def mapJournal(j: PMJournal): Journal = {
     if (j == null)
       return null
@@ -83,40 +91,47 @@ object PubMedToOaf {
     journal.setIss(j.getIssue)
     journal
 
-
   }
 
-  /**
+  /** Find vocabulary term into synonyms and term in the vocabulary
-   *
+    *
-   * Find vocabulary term into synonyms and term in the vocabulary
+    * @param vocabularyName the input vocabulary name
-   *
+    * @param vocabularies   all the vocabularies
-   * @param vocabularyName the input vocabulary name
+    * @param term           the term to find
-   * @param vocabularies   all the vocabularies
+    * @return the cleaned term value
-   * @param term           the term to find
+    */
-   * @return the cleaned term value
+  def getVocabularyTerm(
-   */
+    vocabularyName: String,
-  def getVocabularyTerm(vocabularyName: String, vocabularies: VocabularyGroup, term: String): Qualifier = {
+    vocabularies: VocabularyGroup,
+    term: String
+  ): Qualifier = {
     val a = vocabularies.getSynonymAsQualifier(vocabularyName, term)
     val b = vocabularies.getTermAsQualifier(vocabularyName, term)
     if (a == null) b else a
   }
 
-
+  /** Map the Pubmed Article into the OAF instance
-  /**
+    *
-   * Map the Pubmed Article into the OAF instance
+    * @param article      the pubmed articles
-   *
+    * @param vocabularies the vocabularies
-   * @param article      the pubmed articles
+    * @return The OAF instance if the mapping did not fail
-   * @param vocabularies the vocabularies
+    */
-   * @return The OAF instance if the mapping did not fail
-   */
   def convert(article: PMArticle, vocabularies: VocabularyGroup): Oaf = {
 
     if (article.getPublicationTypes == null)
       return null
 
-
     // MAP PMID into  pid with  classid = classname = pmid
-    val pidList: List[StructuredProperty] = List(OafMapperUtils.structuredProperty(article.getPmid, PidType.pmid.toString, PidType.pmid.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo))
+    val pidList: List[StructuredProperty] = List(
+      OafMapperUtils.structuredProperty(
+        article.getPmid,
+        PidType.pmid.toString,
+        PidType.pmid.toString,
+        ModelConstants.DNET_PID_TYPES,
+        ModelConstants.DNET_PID_TYPES,
+        dataInfo
+      )
+    )
     if (pidList == null)
       return null
 
@@ -125,7 +140,14 @@ object PubMedToOaf {
     if (article.getDoi != null) {
       val normalizedPid = cleanDoi(article.getDoi)
       if (normalizedPid != null)
-        alternateIdentifier = OafMapperUtils.structuredProperty(normalizedPid, PidType.doi.toString, PidType.doi.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo)
+        alternateIdentifier = OafMapperUtils.structuredProperty(
+          normalizedPid,
+          PidType.doi.toString,
+          PidType.doi.toString,
+          ModelConstants.DNET_PID_TYPES,
+          ModelConstants.DNET_PID_TYPES,
+          dataInfo
+        )
     }
 
     // INSTANCE MAPPING
@@ -133,10 +155,12 @@ object PubMedToOaf {
 
     // If the article contains the typology Journal Article then we apply this type
     //else We have to find a terms that match the vocabulary otherwise we discard it
-    val ja = article.getPublicationTypes.asScala.find(s => "Journal Article".equalsIgnoreCase(s.getValue))
+    val ja =
+      article.getPublicationTypes.asScala.find(s => "Journal Article".equalsIgnoreCase(s.getValue))
     val pubmedInstance = new Instance
     if (ja.isDefined) {
-      val cojbCategory = getVocabularyTerm(ModelConstants.DNET_PUBLICATION_RESOURCE, vocabularies, ja.get.getValue)
+      val cojbCategory =
+        getVocabularyTerm(ModelConstants.DNET_PUBLICATION_RESOURCE, vocabularies, ja.get.getValue)
       pubmedInstance.setInstancetype(cojbCategory)
     } else {
       val i_type = article.getPublicationTypes.asScala
@@ -155,7 +179,9 @@ object PubMedToOaf {
     if (alternateIdentifier != null)
       pubmedInstance.setAlternateIdentifier(List(alternateIdentifier).asJava)
     result.setInstance(List(pubmedInstance).asJava)
-    pubmedInstance.getPid.asScala.filter(p => "pmid".equalsIgnoreCase(p.getQualifier.getClassid)).map(p => p.getValue)(collection.breakOut)
+    pubmedInstance.getPid.asScala
+      .filter(p => "pmid".equalsIgnoreCase(p.getQualifier.getClassid))
+      .map(p => p.getValue)(collection.breakOut)
     //CREATE URL From pmid
     val urlLists: List[String] = pidList
       .map(s => (urlMap.getOrElse(s.getQualifier.getClassid, ""), s.getValue))
@@ -165,7 +191,9 @@ object PubMedToOaf {
       pubmedInstance.setUrl(urlLists.asJava)
 
     //ASSIGN DateofAcceptance
-    pubmedInstance.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(article.getDate), dataInfo))
+    pubmedInstance.setDateofacceptance(
+      OafMapperUtils.field(GraphCleaningFunctions.cleanDate(article.getDate), dataInfo)
+    )
     //ASSIGN COLLECTEDFROM
     pubmedInstance.setCollectedfrom(collectedFrom)
     result.setPid(pidList.asJava)
@@ -173,7 +201,6 @@ object PubMedToOaf {
     //END INSTANCE MAPPING
     //--------------------------------------------------------------------------------------
 
-
     // JOURNAL MAPPING
     //--------------------------------------------------------------------------------------
     if (article.getJournal != null && result.isInstanceOf[Publication])
@@ -182,31 +209,48 @@ object PubMedToOaf {
     //END JOURNAL MAPPING
     //--------------------------------------------------------------------------------------
 
-
     // RESULT MAPPING
     //--------------------------------------------------------------------------------------
-    result.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(article.getDate), dataInfo))
+    result.setDateofacceptance(
+      OafMapperUtils.field(GraphCleaningFunctions.cleanDate(article.getDate), dataInfo)
+    )
 
     if (article.getTitle == null || article.getTitle.isEmpty)
       return null
-    result.setTitle(List(OafMapperUtils.structuredProperty(article.getTitle, ModelConstants.MAIN_TITLE_QUALIFIER, dataInfo)).asJava)
+    result.setTitle(
+      List(
+        OafMapperUtils.structuredProperty(
+          article.getTitle,
+          ModelConstants.MAIN_TITLE_QUALIFIER,
+          dataInfo
+        )
+      ).asJava
+    )
 
     if (article.getDescription != null && article.getDescription.nonEmpty)
       result.setDescription(List(OafMapperUtils.field(article.getDescription, dataInfo)).asJava)
 
     if (article.getLanguage != null) {
 
-      val term = vocabularies.getSynonymAsQualifier(ModelConstants.DNET_LANGUAGES, article.getLanguage)
+      val term =
+        vocabularies.getSynonymAsQualifier(ModelConstants.DNET_LANGUAGES, article.getLanguage)
       if (term != null)
         result.setLanguage(term)
     }
 
-
+    val subjects: List[StructuredProperty] = article.getSubjects.asScala.map(s =>
-    val subjects: List[StructuredProperty] = article.getSubjects.asScala.map(s => OafMapperUtils.structuredProperty(s.getValue, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, dataInfo))(collection.breakOut)
+      OafMapperUtils.structuredProperty(
+        s.getValue,
+        SUBJ_CLASS,
+        SUBJ_CLASS,
+        ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+        ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+        dataInfo
+      )
+    )(collection.breakOut)
     if (subjects != null)
       result.setSubject(subjects.asJava)
 
-
     val authors: List[Author] = article.getAuthors.asScala.zipWithIndex.map { case (a, index) =>
       val author = new Author()
       author.setName(a.getForeName)
@@ -216,15 +260,12 @@ object PubMedToOaf {
       author
     }(collection.breakOut)
 
-
     if (authors != null && authors.nonEmpty)
       result.setAuthor(authors.asJava)
     result.setOriginalId(pidList.map(s => s.getValue).asJava)
 
-
     result.setId(article.getPmid)
 
-
     // END RESULT MAPPING
     //--------------------------------------------------------------------------------------
     val id = IdentifierFactory.createIdentifier(result)
@@ -234,5 +275,4 @@ object PubMedToOaf {
     result
   }
 
-
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkRetrieveDataciteDelta.scala

@@ -17,7 +17,8 @@ import org.slf4j.{Logger, LoggerFactory}
 import scala.collection.JavaConverters._
 import java.text.SimpleDateFormat
 
-class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:Logger) extends  AbstractScalaApplication(propertyPath, args, log:Logger) {
+class SparkRetrieveDataciteDelta(propertyPath: String, args: Array[String], log: Logger)
+    extends AbstractScalaApplication(propertyPath, args, log: Logger) {
 
   val ISO_DATE_PATTERN = "yyyy-MM-dd'T'HH:mm:ssZ"
   val simpleFormatter = new SimpleDateFormat(ISO_DATE_PATTERN)
@@ -25,162 +26,190 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
   val SCHOLIX_RESOURCE_PATH_NAME = "scholixResource"
   val DATACITE_OAF_PATH_NAME = "dataciteOAFUpdate"
   val PID_MAP_PATH_NAME = "pidMap"
-  val RESOLVED_REL_PATH_NAME ="resolvedRelation"
+  val RESOLVED_REL_PATH_NAME = "resolvedRelation"
   val SCHOLIX_PATH_NAME = "scholix"
 
+  def scholixResourcePath(workingPath: String) = s"$workingPath/$SCHOLIX_RESOURCE_PATH_NAME"
+  def dataciteOAFPath(workingPath: String) = s"$workingPath/$DATACITE_OAF_PATH_NAME"
+  def pidMapPath(workingPath: String) = s"$workingPath/$PID_MAP_PATH_NAME"
+  def resolvedRelationPath(workingPath: String) = s"$workingPath/$RESOLVED_REL_PATH_NAME"
+  def scholixPath(workingPath: String) = s"$workingPath/$SCHOLIX_PATH_NAME"
 
-  def scholixResourcePath(workingPath:String) = s"$workingPath/$SCHOLIX_RESOURCE_PATH_NAME"
+  /** Utility to parse Date in ISO8601 to epochMillis
-  def dataciteOAFPath(workingPath:String) = s"$workingPath/$DATACITE_OAF_PATH_NAME"
+    * @param inputDate The String represents an input date in ISO8601
-  def pidMapPath(workingPath:String) = s"$workingPath/$PID_MAP_PATH_NAME"
+    * @return The relative epochMillis of parsed date
-  def resolvedRelationPath(workingPath:String) = s"$workingPath/$RESOLVED_REL_PATH_NAME"
+    */
-  def scholixPath(workingPath:String) = s"$workingPath/$SCHOLIX_PATH_NAME"
+  def ISO8601toEpochMillis(inputDate: String): Long = {
-
-
-  /**
-   * Utility to parse Date in ISO8601 to epochMillis
-   * @param inputDate The String represents an input date in ISO8601
-   * @return The relative epochMillis of parsed date
-   */
-  def ISO8601toEpochMillis(inputDate:String):Long = {
     simpleFormatter.parse(inputDate).getTime
   }
 
-
+  /** This method tries to retrieve the last collection date from all datacite
-  /**
+    * records in HDFS.
-   * This method tries to retrieve the last collection date from all datacite
+    * This method should be called before indexing scholexplorer to retrieve
-   * records in HDFS.
+    * the delta of Datacite record to download, since from the generation of
-   * This method should be called before indexing scholexplorer to retrieve
+    * raw graph to the generation of Scholexplorer sometimes it takes 20 days
-   * the delta of Datacite record to download, since from the generation of
+    * @param spark
-   * raw graph to the generation of Scholexplorer sometimes it takes 20 days
+    * @param entitiesPath
-   * @param spark
+    * @return the last collection date from the current scholexplorer Graph of the datacite records
-   * @param entitiesPath
+    */
-   * @return the last collection date from the current scholexplorer Graph of the datacite records
+  def retrieveLastCollectedFrom(spark: SparkSession, entitiesPath: String): Long = {
-   */
-  def retrieveLastCollectedFrom(spark:SparkSession, entitiesPath:String):Long = {
     log.info("Retrieve last entities collected From")
 
-    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
-    implicit val resultEncoder:Encoder[Result] = Encoders.kryo[Result]
+    implicit val resultEncoder: Encoder[Result] = Encoders.kryo[Result]
     import spark.implicits._
 
-    val entitiesDS = spark.read.load(s"$entitiesPath/*").as[Oaf].filter(o =>o.isInstanceOf[Result]).map(r => r.asInstanceOf[Result])
+    val entitiesDS = spark.read
+      .load(s"$entitiesPath/*")
+      .as[Oaf]
+      .filter(o => o.isInstanceOf[Result])
+      .map(r => r.asInstanceOf[Result])
 
-    val date = entitiesDS.filter(r => r.getDateofcollection!= null).map(_.getDateofcollection).select(max("value")).first.getString(0)
+    val date = entitiesDS
+      .filter(r => r.getDateofcollection != null)
+      .map(_.getDateofcollection)
+      .select(max("value"))
+      .first
+      .getString(0)
 
     ISO8601toEpochMillis(date) / 1000
   }
 
-
+  /** The method of update Datacite relationships on Scholexplorer
-  /**
+    * needs some utilities data structures
-   * The method of update Datacite relationships on Scholexplorer
+    * One is the scholixResource DS that stores all the nodes in the Scholix Graph
-   * needs some utilities data structures
+    * in format ScholixResource
-   * One is the scholixResource DS that stores all the nodes in the Scholix Graph
+    * @param summaryPath the path of the summary in Scholix
-   * in format ScholixResource
+    * @param workingPath the working path
-   * @param summaryPath the path of the summary in Scholix
+    * @param spark the spark session
-   * @param workingPath the working path
+    */
-   * @param spark the spark session
+  def generateScholixResource(
-   */
+    summaryPath: String,
-  def generateScholixResource(summaryPath:String, workingPath: String, spark:SparkSession) :Unit = {
+    workingPath: String,
-    implicit val summaryEncoder:Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary]
+    spark: SparkSession
-    implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
+  ): Unit = {
+    implicit val summaryEncoder: Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary]
+    implicit val scholixResourceEncoder: Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
 
     log.info("Convert All summary to ScholixResource")
-    spark.read.load(summaryPath).as[ScholixSummary]
+    spark.read
+      .load(summaryPath)
+      .as[ScholixSummary]
       .map(ScholixUtils.generateScholixResourceFromSummary)(scholixResourceEncoder)
-      .filter(r => r.getIdentifier!= null && r.getIdentifier.size>0)
+      .filter(r => r.getIdentifier != null && r.getIdentifier.size > 0)
-      .write.mode(SaveMode.Overwrite).save(s"${scholixResourcePath(workingPath)}_native")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"${scholixResourcePath(workingPath)}_native")
   }
 
-  /**
+  /** This method convert the new Datacite Resource into Scholix Resource
-   * This method convert the new Datacite Resource into Scholix Resource
+    * Needed to fill the source and the type of Scholix Relationships
-   * Needed to fill the source and the type of Scholix Relationships
+    * @param workingPath the Working Path
-   * @param workingPath the Working Path
+    * @param spark The spark Session
-   * @param spark The spark Session
+    */
-   */
+  def addMissingScholixResource(workingPath: String, spark: SparkSession): Unit = {
-  def addMissingScholixResource(workingPath:String, spark:SparkSession ) :Unit = {
+    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
-    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val scholixResourceEncoder: Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
-    implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
+    implicit val resultEncoder: Encoder[Result] = Encoders.kryo[Result]
-    implicit val resultEncoder:Encoder[Result] = Encoders.kryo[Result]
     import spark.implicits._
 
-    spark.read.load(dataciteOAFPath(workingPath)).as[Oaf]
+    spark.read
+      .load(dataciteOAFPath(workingPath))
+      .as[Oaf]
       .filter(_.isInstanceOf[Result])
       .map(_.asInstanceOf[Result])
       .map(ScholixUtils.generateScholixResourceFromResult)
-      .filter(r => r.getIdentifier!= null && r.getIdentifier.size>0)
+      .filter(r => r.getIdentifier != null && r.getIdentifier.size > 0)
-      .write.mode(SaveMode.Overwrite).save(s"${scholixResourcePath(workingPath)}_update")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"${scholixResourcePath(workingPath)}_update")
 
     val update = spark.read.load(s"${scholixResourcePath(workingPath)}_update").as[ScholixResource]
     val native = spark.read.load(s"${scholixResourcePath(workingPath)}_native").as[ScholixResource]
-    val graph = update.union(native)
+    val graph = update
+      .union(native)
       .groupByKey(_.getDnetIdentifier)
-      .reduceGroups((a,b) => if (a!= null && a.getDnetIdentifier!= null) a else  b)
+      .reduceGroups((a, b) => if (a != null && a.getDnetIdentifier != null) a else b)
       .map(_._2)
     graph.write.mode(SaveMode.Overwrite).save(s"${scholixResourcePath(workingPath)}_graph")
   }
 
+  /** This method get and Transform only datacite records with
+    * timestamp greater than timestamp
+    * @param datacitePath the datacite input Path
+    * @param timestamp the timestamp
+    * @param workingPath the working path where save the generated Dataset
+    * @param spark SparkSession
+    * @param vocabularies Vocabularies needed for transformation
+    */
 
-  /**
+  def getDataciteUpdate(
-   * This method get and Transform only datacite records with
+    datacitePath: String,
-   * timestamp greater than timestamp
+    timestamp: Long,
-   * @param datacitePath the datacite input Path
+    workingPath: String,
-   * @param timestamp the timestamp
+    spark: SparkSession,
-   * @param workingPath the working path where save the generated Dataset
+    vocabularies: VocabularyGroup
-   * @param spark SparkSession
+  ): Long = {
-   * @param vocabularies Vocabularies needed for transformation
-   */
-
-  def getDataciteUpdate(datacitePath:String, timestamp:Long, workingPath:String, spark:SparkSession,vocabularies: VocabularyGroup): Long = {
     import spark.implicits._
     val ds = spark.read.load(datacitePath).as[DataciteType]
-    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
-    val total = ds.filter(_.timestamp>=timestamp).count()
+    val total = ds.filter(_.timestamp >= timestamp).count()
-    if (total >0) {
+    if (total > 0) {
       ds.filter(_.timestamp >= timestamp)
-        .flatMap(d => DataciteToOAFTransformation.generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks = true))
+        .flatMap(d =>
-        .flatMap(i => fixRelations(i)).filter(i => i != null)
+          DataciteToOAFTransformation
-        .write.mode(SaveMode.Overwrite).save(dataciteOAFPath(workingPath))
+            .generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks = true)
+        )
+        .flatMap(i => fixRelations(i))
+        .filter(i => i != null)
+        .write
+        .mode(SaveMode.Overwrite)
+        .save(dataciteOAFPath(workingPath))
     }
     total
   }
 
-  /**
+  /** After added the new ScholixResource, we need to update the scholix Pid Map
-   * After added the new ScholixResource, we need to update the scholix Pid Map
+    * to intersected with the new Datacite Relations
-   * to intersected with the new Datacite Relations
+    *
-
+    * @param workingPath The working Path starting from save the new Map
-   * @param workingPath The working Path starting from save the new Map
+    * @param spark the spark session
-   * @param spark the spark session
+    */
-   */
+  def generatePidMap(workingPath: String, spark: SparkSession): Unit = {
-  def generatePidMap(workingPath:String, spark:SparkSession ) :Unit = {
+    implicit val scholixResourceEncoder: Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
-    implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
     import spark.implicits._
-    spark.read.load(s"${scholixResourcePath(workingPath)}_graph").as[ScholixResource]
+    spark.read
-      .flatMap(r=>
+      .load(s"${scholixResourcePath(workingPath)}_graph")
-                  r.getIdentifier.asScala
+      .as[ScholixResource]
-                                      .map(i =>DHPUtils.generateUnresolvedIdentifier(i.getIdentifier, i.getSchema))
+      .flatMap(r =>
-                                      .map(t =>(t, r.getDnetIdentifier))
+        r.getIdentifier.asScala
-              )(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+          .map(i => DHPUtils.generateUnresolvedIdentifier(i.getIdentifier, i.getSchema))
+          .map(t => (t, r.getDnetIdentifier))
+      )(Encoders.tuple(Encoders.STRING, Encoders.STRING))
       .groupByKey(_._1)
-      .reduceGroups((a,b) => if (a!= null && a._2!= null) a else  b)
+      .reduceGroups((a, b) => if (a != null && a._2 != null) a else b)
       .map(_._2)(Encoders.tuple(Encoders.STRING, Encoders.STRING))
-      .write.mode(SaveMode.Overwrite).save(pidMapPath(workingPath))
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(pidMapPath(workingPath))
   }
 
-  /**
+  /** This method resolve the datacite relation and filter the resolved
-   * This method resolve the datacite relation and filter the resolved
+    * relation
-   * relation
+    * @param workingPath the working path
-   * @param workingPath the working path
+    * @param spark the spark session
-   * @param spark the spark session
+    */
-   */
 
-  def resolveUpdateRelation(workingPath:String, spark:SparkSession) :Unit = {
+  def resolveUpdateRelation(workingPath: String, spark: SparkSession): Unit = {
-    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
-    implicit val relationEncoder:Encoder[Relation] = Encoders.kryo[Relation]
+    implicit val relationEncoder: Encoder[Relation] = Encoders.kryo[Relation]
     import spark.implicits._
 
-    val pidMap = spark.read.load(pidMapPath(workingPath)).as[(String,String)]
+    val pidMap = spark.read.load(pidMapPath(workingPath)).as[(String, String)]
 
-    val unresolvedRelations:Dataset[(String,Relation)] = spark.read.load(dataciteOAFPath(workingPath)).as[Oaf]
+    val unresolvedRelations: Dataset[(String, Relation)] = spark.read
+      .load(dataciteOAFPath(workingPath))
+      .as[Oaf]
       .filter(_.isInstanceOf[Relation])
       .map(_.asInstanceOf[Relation])
       .map { r =>
@@ -193,7 +222,7 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
     unresolvedRelations
       .joinWith(pidMap, unresolvedRelations("_1").equalTo(pidMap("_1")))
       .map(t => {
-        val r =t._1._2
+        val r = t._1._2
         val resolvedIdentifier = t._2._2
         if (r.getSource.startsWith("unresolved"))
           r.setSource(resolvedIdentifier)
@@ -201,56 +230,62 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
           r.setTarget(resolvedIdentifier)
         r
       })(relationEncoder)
-      .filter(r => !(r.getSource.startsWith("unresolved") || r.getTarget.startsWith("unresolved") ))
+      .filter(r => !(r.getSource.startsWith("unresolved") || r.getTarget.startsWith("unresolved")))
-      .write.mode(SaveMode.Overwrite)
+      .write
+      .mode(SaveMode.Overwrite)
       .save(resolvedRelationPath(workingPath))
   }
 
+  /** This method generate scholix starting from resolved relation
+    *
+    * @param workingPath
+    * @param spark
+    */
+  def generateScholixUpdate(workingPath: String, spark: SparkSession): Unit = {
+    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
+    implicit val scholixResourceEncoder: Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
+    implicit val relationEncoder: Encoder[Relation] = Encoders.kryo[Relation]
+    implicit val intermediateEncoder: Encoder[(String, Scholix)] =
+      Encoders.tuple(Encoders.STRING, scholixEncoder)
 
+    val relations: Dataset[(String, Relation)] = spark.read
+      .load(resolvedRelationPath(workingPath))
+      .as[Relation]
+      .map(r => (r.getSource, r))(Encoders.tuple(Encoders.STRING, relationEncoder))
 
-  /**
+    val id_summary: Dataset[(String, ScholixResource)] = spark.read
-   * This method generate scholix starting from resolved relation
+      .load(s"${scholixResourcePath(workingPath)}_graph")
-   *
+      .as[ScholixResource]
-   *
+      .map(r => (r.getDnetIdentifier, r))(Encoders.tuple(Encoders.STRING, scholixResourceEncoder))
-   * @param workingPath
-   * @param spark
-   */
-  def generateScholixUpdate(workingPath:String, spark:SparkSession) :Unit = {
-    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
-    implicit val scholixEncoder:Encoder[Scholix] = Encoders.kryo[Scholix]
-    implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
-    implicit val relationEncoder:Encoder[Relation] = Encoders.kryo[Relation]
-    implicit val intermediateEncoder :Encoder[(String,Scholix)] = Encoders.tuple(Encoders.STRING, scholixEncoder)
-
-
-    val relations:Dataset[(String, Relation)] = spark.read.load(resolvedRelationPath(workingPath)).as[Relation].map(r =>(r.getSource,r))(Encoders.tuple(Encoders.STRING, relationEncoder))
-
-    val id_summary:Dataset[(String,ScholixResource)] = spark.read.load(s"${scholixResourcePath(workingPath)}_graph").as[ScholixResource].map(r => (r.getDnetIdentifier,r))(Encoders.tuple(Encoders.STRING, scholixResourceEncoder))
 
     id_summary.cache()
 
-    relations.joinWith(id_summary, relations("_1").equalTo(id_summary("_1")),"inner")
+    relations
-    .map(t => (t._1._2.getTarget,ScholixUtils.scholixFromSource(t._1._2, t._2._2)))
+      .joinWith(id_summary, relations("_1").equalTo(id_summary("_1")), "inner")
-    .write.mode(SaveMode.Overwrite).save(s"$workingPath/scholix_one_verse")
+      .map(t => (t._1._2.getTarget, ScholixUtils.scholixFromSource(t._1._2, t._2._2)))
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/scholix_one_verse")
 
-    val source_scholix:Dataset[(String, Scholix)] =spark.read.load(s"$workingPath/scholix_one_verse").as[(String,Scholix)]
+    val source_scholix: Dataset[(String, Scholix)] =
+      spark.read.load(s"$workingPath/scholix_one_verse").as[(String, Scholix)]
 
-    source_scholix.joinWith(id_summary, source_scholix("_1").equalTo(id_summary("_1")),"inner")
+    source_scholix
+      .joinWith(id_summary, source_scholix("_1").equalTo(id_summary("_1")), "inner")
       .map(t => {
-        val target:ScholixResource =t._2._2
+        val target: ScholixResource = t._2._2
-        val scholix:Scholix = t._1._2
+        val scholix: Scholix = t._1._2
-        ScholixUtils.generateCompleteScholix(scholix,target)
+        ScholixUtils.generateCompleteScholix(scholix, target)
-      })(scholixEncoder).write.mode(SaveMode.Overwrite).save(s"$workingPath/scholix")
+      })(scholixEncoder)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/scholix")
   }
 
-
+  /** Here all the spark applications runs this method
-
+    * where the whole logic of the spark node is defined
-
+    */
-
-  /**
-   * Here all the spark applications runs this method
-   * where the whole logic of the spark node is defined
-   */
   override def run(): Unit = {
     val sourcePath = parser.get("sourcePath")
     log.info(s"SourcePath is '$sourcePath'")
@@ -258,7 +293,7 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
     val datacitePath = parser.get("datacitePath")
     log.info(s"DatacitePath is '$datacitePath'")
 
-    val workingPath  = parser.get("workingSupportPath")
+    val workingPath = parser.get("workingSupportPath")
     log.info(s"workingPath is '$workingPath'")
 
     val isLookupUrl: String = parser.get("isLookupUrl")
@@ -268,38 +303,43 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
     val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
     require(vocabularies != null)
 
-
+    val updateDS: Boolean = "true".equalsIgnoreCase(parser.get("updateDS"))
-    val updateDS:Boolean  =  "true".equalsIgnoreCase(parser.get("updateDS"))
     log.info(s"updateDS is '$updateDS'")
 
     var lastCollectionDate = 0L
     if (updateDS) {
       generateScholixResource(s"$sourcePath/provision/summaries", workingPath, spark)
       log.info("Retrieve last entities collected From starting from scholix Graph")
-      lastCollectionDate  = retrieveLastCollectedFrom(spark, s"$sourcePath/entities")
+      lastCollectionDate = retrieveLastCollectedFrom(spark, s"$sourcePath/entities")
-    }
+    } else {
-    else {
       val fs = FileSystem.get(spark.sparkContext.hadoopConfiguration)
       fs.delete(new Path(s"${scholixResourcePath(workingPath)}_native"), true)
-      fs.rename(new Path(s"${scholixResourcePath(workingPath)}_graph"), new Path(s"${scholixResourcePath(workingPath)}_native"))
+      fs.rename(
-      lastCollectionDate  = retrieveLastCollectedFrom(spark, dataciteOAFPath(workingPath))
+        new Path(s"${scholixResourcePath(workingPath)}_graph"),
+        new Path(s"${scholixResourcePath(workingPath)}_native")
+      )
+      lastCollectionDate = retrieveLastCollectedFrom(spark, dataciteOAFPath(workingPath))
     }
 
-    val numRecords = getDataciteUpdate(datacitePath, lastCollectionDate, workingPath, spark, vocabularies)
+    val numRecords =
-    if (numRecords>0) {
+      getDataciteUpdate(datacitePath, lastCollectionDate, workingPath, spark, vocabularies)
-      addMissingScholixResource(workingPath,spark)
+    if (numRecords > 0) {
+      addMissingScholixResource(workingPath, spark)
       generatePidMap(workingPath, spark)
-      resolveUpdateRelation(workingPath,spark)
+      resolveUpdateRelation(workingPath, spark)
       generateScholixUpdate(workingPath, spark)
     }
   }
 }
 
-
 object SparkRetrieveDataciteDelta {
   val log: Logger = LoggerFactory.getLogger(SparkRetrieveDataciteDelta.getClass)
 
   def main(args: Array[String]): Unit = {
-    new SparkRetrieveDataciteDelta("/eu/dnetlib/dhp/sx/graph/retrieve_datacite_delta_params.json", args, log).initialize().run()
+    new SparkRetrieveDataciteDelta(
+      "/eu/dnetlib/dhp/sx/graph/retrieve_datacite_delta_params.json",
+      args,
+      log
+    ).initialize().run()
   }
 }

dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala

@@ -1,6 +1,5 @@
 package eu.dnetlib.dhp.datacite
 
-
 import com.fasterxml.jackson.databind.{ObjectMapper, SerializationFeature}
 import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
 import eu.dnetlib.dhp.schema.oaf.Oaf
@@ -20,95 +19,90 @@ import java.util.Locale
 import scala.io.Source
 
 @ExtendWith(Array(classOf[MockitoExtension]))
-class DataciteToOAFTest extends  AbstractVocabularyTest{
+class DataciteToOAFTest extends AbstractVocabularyTest {
 
-  private var workingDir:Path = null
+  private var workingDir: Path = null
   val log: Logger = LoggerFactory.getLogger(getClass)
 
   @BeforeEach
-  def setUp() :Unit = {
+  def setUp(): Unit = {
 
-    workingDir= Files.createTempDirectory(getClass.getSimpleName)
+    workingDir = Files.createTempDirectory(getClass.getSimpleName)
     super.setUpVocabulary()
   }
 
   @AfterEach
-  def tearDown() :Unit = {
+  def tearDown(): Unit = {
     FileUtils.deleteDirectory(workingDir.toFile)
   }
 
-
   @Test
-  def testDateMapping:Unit = {
+  def testDateMapping: Unit = {
     val inputDate = "2021-07-14T11:52:54+0000"
     val ISO8601FORMAT = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssZ", Locale.US)
     val dt = ISO8601FORMAT.parse(inputDate)
     println(dt.getTime)
 
-
   }
 
-
   @Test
   def testConvert(): Unit = {
 
-
     val path = getClass.getResource("/eu/dnetlib/dhp/actionmanager/datacite/dataset").getPath
 
     val conf = new SparkConf()
-    val spark:SparkSession =  SparkSession.builder().config(conf)
+    val spark: SparkSession = SparkSession
+      .builder()
+      .config(conf)
       .appName(getClass.getSimpleName)
       .master("local[*]")
       .getOrCreate()
 
-
+    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
-
-    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
     val instance = new GenerateDataciteDatasetSpark(null, null, log)
     val targetPath = s"$workingDir/result"
 
-    instance.generateDataciteDataset(path, exportLinks = true, vocabularies,targetPath, spark)
+    instance.generateDataciteDataset(path, exportLinks = true, vocabularies, targetPath, spark)
 
     import spark.implicits._
 
-    val nativeSize =spark.read.load(path).count()
+    val nativeSize = spark.read.load(path).count()
-
 
     assertEquals(100, nativeSize)
 
-    val result:Dataset[Oaf] = spark.read.load(targetPath).as[Oaf]
+    val result: Dataset[Oaf] = spark.read.load(targetPath).as[Oaf]
 
-
+    result
-    result.map(s => s.getClass.getSimpleName).groupBy(col("value").alias("class")).agg(count("value").alias("Total")).show(false)
+      .map(s => s.getClass.getSimpleName)
+      .groupBy(col("value").alias("class"))
+      .agg(count("value").alias("Total"))
+      .show(false)
 
     val t = spark.read.load(targetPath).count()
 
-    assertTrue(t >0)
+    assertTrue(t > 0)
-
 
     spark.stop()
 
-
-
-
   }
 
-
   @Test
-  def testMapping() :Unit = {
+  def testMapping(): Unit = {
-    val record =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/record.json")).mkString
+    val record = Source
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/record.json")
+      )
+      .mkString
 
     val mapper = new ObjectMapper().enable(SerializationFeature.INDENT_OUTPUT)
-    val res:List[Oaf] =DataciteToOAFTransformation.generateOAF(record, 0L,0L, vocabularies, true )
+    val res: List[Oaf] = DataciteToOAFTransformation.generateOAF(record, 0L, 0L, vocabularies, true)
 
     res.foreach(r => {
-      println (mapper.writeValueAsString(r))
+      println(mapper.writeValueAsString(r))
       println("----------------------------")
 
     })
 
-
-
   }
 
-}
+}

dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/sx/bio/BioScholixTest.scala

@@ -20,14 +20,13 @@ import scala.io.Source
 import scala.xml.pull.XMLEventReader
 
 @ExtendWith(Array(classOf[MockitoExtension]))
-class BioScholixTest extends AbstractVocabularyTest{
+class BioScholixTest extends AbstractVocabularyTest {
-
 
   val mapper = new ObjectMapper().enable(SerializationFeature.INDENT_OUTPUT)
-  mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES,false)
+  mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false)
 
   @BeforeEach
-  def setUp() :Unit = {
+  def setUp(): Unit = {
 
     super.setUpVocabulary()
   }
@@ -38,52 +37,54 @@ class BioScholixTest extends AbstractVocabularyTest{
   }
 
   object GzFileIterator {
+
     def apply(is: InputStream, encoding: String) = {
       new BufferedReaderIterator(
-        new BufferedReader(
+        new BufferedReader(new InputStreamReader(new GZIPInputStream(is), encoding))
-          new InputStreamReader(
+      )
-            new GZIPInputStream(
-              is), encoding)))
     }
   }
 
-
- 
-
   @Test
   def testEBIData() = {
-    val inputXML = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml")).mkString
+    val inputXML = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
+      .mkString
     val xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes()))
-    new PMParser(xml).foreach(s =>println(mapper.writeValueAsString(s)))
+    new PMParser(xml).foreach(s => println(mapper.writeValueAsString(s)))
   }
 
-
   @Test
   def testPubmedToOaf(): Unit = {
     assertNotNull(vocabularies)
     assertTrue(vocabularies.vocabularyExists("dnet:publication_resource"))
-    val records:String =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed_dump")).mkString
+    val records: String = Source
-    val r:List[Oaf] = records.lines.toList.map(s=>mapper.readValue(s, classOf[PMArticle])).map(a => PubMedToOaf.convert(a, vocabularies))
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed_dump"))
+      .mkString
+    val r: List[Oaf] = records.lines.toList
+      .map(s => mapper.readValue(s, classOf[PMArticle]))
+      .map(a => PubMedToOaf.convert(a, vocabularies))
     assertEquals(10, r.size)
-    assertTrue(r.map(p => p.asInstanceOf[Result]).flatMap(p => p.getInstance().asScala.map(i => i.getInstancetype.getClassid)).exists(p => "0037".equalsIgnoreCase(p)))
+    assertTrue(
+      r.map(p => p.asInstanceOf[Result])
+        .flatMap(p => p.getInstance().asScala.map(i => i.getInstancetype.getClassid))
+        .exists(p => "0037".equalsIgnoreCase(p))
+    )
     println(mapper.writeValueAsString(r.head))
 
-
-
   }
 
-
   @Test
-  def testPDBToOAF():Unit = {
+  def testPDBToOAF(): Unit = {
 
     assertNotNull(vocabularies)
     assertTrue(vocabularies.vocabularyExists("dnet:publication_resource"))
-    val records:String =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pdb_dump")).mkString
+    val records: String = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pdb_dump"))
+      .mkString
     records.lines.foreach(s => assertTrue(s.nonEmpty))
 
-    val result:List[Oaf]=  records.lines.toList.flatMap(o => BioDBToOAF.pdbTOOaf(o))
+    val result: List[Oaf] = records.lines.toList.flatMap(o => BioDBToOAF.pdbTOOaf(o))
-
-
 
     assertTrue(result.nonEmpty)
     result.foreach(r => assertNotNull(r))
@@ -93,19 +94,18 @@ class BioScholixTest extends AbstractVocabularyTest{
 
   }
 
-
   @Test
-  def testUNIprotToOAF():Unit = {
+  def testUNIprotToOAF(): Unit = {
 
     assertNotNull(vocabularies)
     assertTrue(vocabularies.vocabularyExists("dnet:publication_resource"))
 
-    val records:String =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/uniprot_dump")).mkString
+    val records: String = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/uniprot_dump"))
+      .mkString
     records.lines.foreach(s => assertTrue(s.nonEmpty))
 
-    val result:List[Oaf]=  records.lines.toList.flatMap(o => BioDBToOAF.uniprotToOAF(o))
+    val result: List[Oaf] = records.lines.toList.flatMap(o => BioDBToOAF.uniprotToOAF(o))
-
-
 
     assertTrue(result.nonEmpty)
     result.foreach(r => assertNotNull(r))
@@ -115,35 +115,42 @@ class BioScholixTest extends AbstractVocabularyTest{
 
   }
 
-  case class EBILinks(relType:String, date:String, title:String, pmid:String, targetPid:String, targetPidType:String) {}
+  case class EBILinks(
+    relType: String,
+    date: String,
+    title: String,
+    pmid: String,
+    targetPid: String,
+    targetPidType: String
+  ) {}
 
-  def parse_ebi_links(input:String):List[EBILinks] ={
+  def parse_ebi_links(input: String): List[EBILinks] = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json = parse(input)
-    val pmid = (json \ "publication" \"pmid").extract[String]
+    val pmid = (json \ "publication" \ "pmid").extract[String]
     for {
-      JObject(link) <- json \\ "Link"
+      JObject(link)                                       <- json \\ "Link"
-      JField("Target",JObject(target)) <- link
+      JField("Target", JObject(target))                   <- link
-      JField("RelationshipType",JObject(relType)) <- link
+      JField("RelationshipType", JObject(relType))        <- link
-      JField("Name", JString(relation)) <- relType
+      JField("Name", JString(relation))                   <- relType
-      JField("PublicationDate",JString(publicationDate)) <- link
+      JField("PublicationDate", JString(publicationDate)) <- link
-      JField("Title", JString(title)) <- target
+      JField("Title", JString(title))                     <- target
-      JField("Identifier",JObject(identifier)) <- target
+      JField("Identifier", JObject(identifier))           <- target
-      JField("IDScheme", JString(idScheme)) <- identifier
+      JField("IDScheme", JString(idScheme))               <- identifier
-      JField("ID", JString(id)) <- identifier
+      JField("ID", JString(id))                           <- identifier
 
     } yield EBILinks(relation, publicationDate, title, pmid, id, idScheme)
   }
 
-
   @Test
-  def testCrossrefLinksToOAF():Unit = {
+  def testCrossrefLinksToOAF(): Unit = {
 
-    val records:String =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/crossref_links")).mkString
+    val records: String = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/crossref_links"))
+      .mkString
     records.lines.foreach(s => assertTrue(s.nonEmpty))
 
-
+    val result: List[Oaf] = records.lines.map(s => BioDBToOAF.crossrefLinksToOaf(s)).toList
-    val result:List[Oaf] =records.lines.map(s => BioDBToOAF.crossrefLinksToOaf(s)).toList
 
     assertNotNull(result)
     assertTrue(result.nonEmpty)
@@ -153,36 +160,41 @@ class BioScholixTest extends AbstractVocabularyTest{
   }
 
   @Test
-  def testEBILinksToOAF():Unit = {
+  def testEBILinksToOAF(): Unit = {
-    val iterator = GzFileIterator(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/ebi_links.gz"), "UTF-8")
+    val iterator = GzFileIterator(
+      getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/ebi_links.gz"),
+      "UTF-8"
+    )
     val data = iterator.next()
 
-    val res = BioDBToOAF.parse_ebi_links(BioDBToOAF.extractEBILinksFromDump(data).links).filter(BioDBToOAF.EBITargetLinksFilter).flatMap(BioDBToOAF.convertEBILinksToOaf)
+    val res = BioDBToOAF
+      .parse_ebi_links(BioDBToOAF.extractEBILinksFromDump(data).links)
+      .filter(BioDBToOAF.EBITargetLinksFilter)
+      .flatMap(BioDBToOAF.convertEBILinksToOaf)
     print(res.length)
 
-
     println(mapper.writeValueAsString(res.head))
 
   }
 
-
-
-
   @Test
-  def scholixResolvedToOAF():Unit ={
+  def scholixResolvedToOAF(): Unit = {
 
-    val records:String =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/scholix_resolved")).mkString
+    val records: String = Source
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/scholix_resolved")
+      )
+      .mkString
     records.lines.foreach(s => assertTrue(s.nonEmpty))
 
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
 
-    val l:List[ScholixResolved] = records.lines.map{input =>
+    val l: List[ScholixResolved] = records.lines.map { input =>
       lazy val json = parse(input)
       json.extract[ScholixResolved]
     }.toList
 
-
+    val result: List[Oaf] = l.map(s => BioDBToOAF.scholixResolvedToOAF(s))
-    val result:List[Oaf] = l.map(s => BioDBToOAF.scholixResolvedToOAF(s))
 
     assertTrue(result.nonEmpty)
   }

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala

@@ -16,10 +16,22 @@ import java.time.LocalDate
 import java.time.format.DateTimeFormatter
 import scala.collection.JavaConverters._
 
+case class HostedByItemType(
+  id: String,
+  officialname: String,
+  issn: String,
+  eissn: String,
+  lissn: String,
+  openAccess: Boolean
+) {}
 
-case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {}
+case class DoiBoostAffiliation(
-
+  PaperId: Long,
-case class DoiBoostAffiliation(PaperId:Long, AffiliationId:Long, GridId:Option[String], OfficialPage:Option[String], DisplayName:Option[String]){}
+  AffiliationId: Long,
+  GridId: Option[String],
+  OfficialPage: Option[String],
+  DisplayName: Option[String]
+) {}
 
 object DoiBoostMappingUtil {
 
@@ -43,9 +55,19 @@ object DoiBoostMappingUtil {
   val DOI_PREFIX_REGEX = "(^10\\.|\\/10.)"
   val DOI_PREFIX = "10."
 
-  val invalidName = List(",", "none none", "none, none", "none &na;", "(:null)", "test test test", "test test", "test", "&na; &na;")
+  val invalidName = List(
+    ",",
+    "none none",
+    "none, none",
+    "none &na;",
+    "(:null)",
+    "test test test",
+    "test test",
+    "test",
+    "&na; &na;"
+  )
 
-  def toActionSet(item:Oaf) :(String, String) = {
+  def toActionSet(item: Oaf): (String, String) = {
     val mapper = new ObjectMapper()
 
     item match {
@@ -75,59 +97,56 @@ object DoiBoostMappingUtil {
 
   }
 
-
+  def toHostedByItem(input: String): (String, HostedByItemType) = {
-  def toHostedByItem(input:String): (String, HostedByItemType) = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
 
     lazy val json: json4s.JValue = parse(input)
-    val c :Map[String,HostedByItemType] = json.extract[Map[String, HostedByItemType]]
+    val c: Map[String, HostedByItemType] = json.extract[Map[String, HostedByItemType]]
     (c.keys.head, c.values.head)
   }
 
-
+  def toISSNPair(publication: Publication): (String, Publication) = {
-  def toISSNPair(publication: Publication) : (String, Publication) = {
     val issn = if (publication.getJournal == null) null else publication.getJournal.getIssnPrinted
-    val eissn =if (publication.getJournal == null) null else  publication.getJournal.getIssnOnline
+    val eissn = if (publication.getJournal == null) null else publication.getJournal.getIssnOnline
-    val lissn =if (publication.getJournal == null) null else  publication.getJournal.getIssnLinking
+    val lissn = if (publication.getJournal == null) null else publication.getJournal.getIssnLinking
 
-    if (issn!= null && issn.nonEmpty)
+    if (issn != null && issn.nonEmpty)
       (issn, publication)
-    else if(eissn!= null && eissn.nonEmpty)
+    else if (eissn != null && eissn.nonEmpty)
       (eissn, publication)
-    else if(lissn!= null && lissn.nonEmpty)
+    else if (lissn != null && lissn.nonEmpty)
       (lissn, publication)
     else
       (publication.getId, publication)
   }
 
-
+  def generateGridAffiliationId(gridId: String): String = {
-
-
-  def generateGridAffiliationId(gridId:String) :String = {
     s"20|grid________::${DHPUtils.md5(gridId.toLowerCase().trim())}"
   }
 
-
+  def fixResult(result: Dataset): Dataset = {
-  def fixResult(result: Dataset) :Dataset = {
     val instanceType = extractInstance(result)
     if (instanceType.isDefined) {
       result.getInstance().asScala.foreach(i => i.setInstancetype(instanceType.get.getInstancetype))
     }
-    result.getInstance().asScala.foreach(i => {
+    result
-      i.setHostedby(ModelConstants.UNKNOWN_REPOSITORY)
+      .getInstance()
-    })
+      .asScala
+      .foreach(i => {
+        i.setHostedby(ModelConstants.UNKNOWN_REPOSITORY)
+      })
     result
   }
 
-
+  def decideAccessRight(lic: Field[String], date: String): AccessRight = {
-  def decideAccessRight(lic : Field[String], date:String) : AccessRight = {
+    if (lic == null) {
-    if(lic == null){
       //Default value Unknown
       return getUnknownQualifier()
     }
-    val license : String = lic.getValue
+    val license: String = lic.getValue
     //CC licenses
-    if(license.startsWith("cc") ||
+    if (
+      license.startsWith("cc") ||
       license.startsWith("http://creativecommons.org/licenses") ||
       license.startsWith("https://creativecommons.org/licenses") ||
 
@@ -137,40 +156,44 @@ object DoiBoostMappingUtil {
       license.equals("http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html") ||
 
       //APA (considered OPEN also by Unpaywall)
-      license.equals("http://www.apa.org/pubs/journals/resources/open-access.aspx")){
+      license.equals("http://www.apa.org/pubs/journals/resources/open-access.aspx")
+    ) {
 
-      val oaq : AccessRight = getOpenAccessQualifier()
+      val oaq: AccessRight = getOpenAccessQualifier()
       oaq.setOpenAccessRoute(OpenAccessRoute.hybrid)
       return oaq
     }
 
     //OUP (BUT ONLY AFTER 12 MONTHS FROM THE PUBLICATION DATE, OTHERWISE THEY ARE EMBARGOED)
-    if(license.equals("https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model")){
+    if (
+      license.equals(
+        "https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model"
+      )
+    ) {
       val now = java.time.LocalDate.now
 
-      try{
+      try {
         val pub_date = LocalDate.parse(date, DateTimeFormatter.ofPattern("yyyy-MM-dd"))
-        if (((now.toEpochDay - pub_date.toEpochDay)/365.0) > 1){
+        if (((now.toEpochDay - pub_date.toEpochDay) / 365.0) > 1) {
-          val oaq : AccessRight = getOpenAccessQualifier()
+          val oaq: AccessRight = getOpenAccessQualifier()
           oaq.setOpenAccessRoute(OpenAccessRoute.hybrid)
           return oaq
-        }
+        } else {
-        else{
           return getEmbargoedAccessQualifier()
         }
-      }catch {
+      } catch {
         case e: Exception => {
-          try{
+          try {
-          val pub_date = LocalDate.parse(date, DateTimeFormatter.ofPattern("yyyy-MM-dd'T'HH:mm:ss'Z'"))
+            val pub_date =
-          if (((now.toEpochDay - pub_date.toEpochDay)/365.0) > 1){
+              LocalDate.parse(date, DateTimeFormatter.ofPattern("yyyy-MM-dd'T'HH:mm:ss'Z'"))
-            val oaq : AccessRight = getOpenAccessQualifier()
+            if (((now.toEpochDay - pub_date.toEpochDay) / 365.0) > 1) {
-            oaq.setOpenAccessRoute(OpenAccessRoute.hybrid)
+              val oaq: AccessRight = getOpenAccessQualifier()
-            return oaq
+              oaq.setOpenAccessRoute(OpenAccessRoute.hybrid)
-          }
+              return oaq
-          else{
+            } else {
-            return getEmbargoedAccessQualifier()
+              return getEmbargoedAccessQualifier()
-          }
+            }
-          }catch{
+          } catch {
             case ex: Exception => return getClosedAccessQualifier()
           }
         }
@@ -183,64 +206,91 @@ object DoiBoostMappingUtil {
 
   }
 
+  def getOpenAccessQualifier(): AccessRight = {
 
-
+    OafMapperUtils.accessRight(
-  def getOpenAccessQualifier():AccessRight = {
+      ModelConstants.ACCESS_RIGHT_OPEN,
-
+      "Open Access",
-    OafMapperUtils.accessRight(ModelConstants.ACCESS_RIGHT_OPEN,"Open Access", ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
+      ModelConstants.DNET_ACCESS_MODES,
+      ModelConstants.DNET_ACCESS_MODES
+    )
   }
 
-  def getRestrictedQualifier():AccessRight = {
+  def getRestrictedQualifier(): AccessRight = {
-    OafMapperUtils.accessRight( "RESTRICTED","Restricted",ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
+    OafMapperUtils.accessRight(
+      "RESTRICTED",
+      "Restricted",
+      ModelConstants.DNET_ACCESS_MODES,
+      ModelConstants.DNET_ACCESS_MODES
+    )
   }
 
-
+  def getUnknownQualifier(): AccessRight = {
-  def getUnknownQualifier():AccessRight = {
+    OafMapperUtils.accessRight(
-    OafMapperUtils.accessRight(ModelConstants.UNKNOWN, ModelConstants.NOT_AVAILABLE,ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
+      ModelConstants.UNKNOWN,
+      ModelConstants.NOT_AVAILABLE,
+      ModelConstants.DNET_ACCESS_MODES,
+      ModelConstants.DNET_ACCESS_MODES
+    )
   }
 
-
+  def getEmbargoedAccessQualifier(): AccessRight = {
-  def getEmbargoedAccessQualifier():AccessRight = {
+    OafMapperUtils.accessRight(
-    OafMapperUtils.accessRight("EMBARGO","Embargo",ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
+      "EMBARGO",
+      "Embargo",
+      ModelConstants.DNET_ACCESS_MODES,
+      ModelConstants.DNET_ACCESS_MODES
+    )
   }
 
-  def getClosedAccessQualifier():AccessRight = {
+  def getClosedAccessQualifier(): AccessRight = {
-    OafMapperUtils.accessRight("CLOSED","Closed Access", ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
+    OafMapperUtils.accessRight(
+      "CLOSED",
+      "Closed Access",
+      ModelConstants.DNET_ACCESS_MODES,
+      ModelConstants.DNET_ACCESS_MODES
+    )
   }
 
-
+  def extractInstance(r: Result): Option[Instance] = {
-  def extractInstance(r:Result):Option[Instance] = {
+    r.getInstance()
-    r.getInstance().asScala.find(i => i.getInstancetype != null && i.getInstancetype.getClassid.nonEmpty)
+      .asScala
+      .find(i => i.getInstancetype != null && i.getInstancetype.getClassid.nonEmpty)
   }
 
-  def fixPublication(input:((String,Publication), (String,HostedByItemType))): Publication = {
+  def fixPublication(input: ((String, Publication), (String, HostedByItemType))): Publication = {
 
     val publication = input._1._2
 
     val item = if (input._2 != null) input._2._2 else null
 
-    val instanceType:Option[Instance] = extractInstance(publication)
+    val instanceType: Option[Instance] = extractInstance(publication)
 
     if (instanceType.isDefined) {
-      publication.getInstance().asScala.foreach(i => i.setInstancetype(instanceType.get.getInstancetype))
+      publication
+        .getInstance()
+        .asScala
+        .foreach(i => i.setInstancetype(instanceType.get.getInstancetype))
     }
 
-    publication.getInstance().asScala.foreach(i => {
+    publication
-      var hb = new KeyValue
+      .getInstance()
-      if (item != null) {
+      .asScala
-        hb.setValue(item.officialname)
+      .foreach(i => {
-        hb.setKey(item.id)
+        var hb = new KeyValue
-        if (item.openAccess) {
+        if (item != null) {
-          i.setAccessright(getOpenAccessQualifier())
+          hb.setValue(item.officialname)
-          i.getAccessright.setOpenAccessRoute(OpenAccessRoute.gold)
+          hb.setKey(item.id)
-        }
+          if (item.openAccess) {
+            i.setAccessright(getOpenAccessQualifier())
+            i.getAccessright.setOpenAccessRoute(OpenAccessRoute.gold)
+          }
 
-      }
+        } else {
-      else {
+          hb = ModelConstants.UNKNOWN_REPOSITORY
-        hb = ModelConstants.UNKNOWN_REPOSITORY
+        }
-      }
+        i.setHostedby(hb)
-      i.setHostedby(hb)
+      })
-    })
 
     publication.setBestaccessright(OafMapperUtils.createBestAccessRights(publication.getInstance()))
 
@@ -270,17 +320,22 @@ object DoiBoostMappingUtil {
     if (publication.getTitle == null || publication.getTitle.size == 0)
       return false
 
-
+    val s = publication.getTitle.asScala.count(p =>
-    val s = publication.getTitle.asScala.count(p => p.getValue != null
+      p.getValue != null
-      && p.getValue.nonEmpty && !p.getValue.equalsIgnoreCase("[NO TITLE AVAILABLE]"))
+      && p.getValue.nonEmpty && !p.getValue.equalsIgnoreCase("[NO TITLE AVAILABLE]")
+    )
 
     if (s == 0)
       return false
 
     // fixes #4360 (test publisher)
-    val publisher = if (publication.getPublisher != null) publication.getPublisher.getValue else null
+    val publisher =
+      if (publication.getPublisher != null) publication.getPublisher.getValue else null
 
-    if (publisher != null && (publisher.equalsIgnoreCase("Test accounts") || publisher.equalsIgnoreCase("CrossRef Test Account"))) {
+    if (
+      publisher != null && (publisher.equalsIgnoreCase("Test accounts") || publisher
+        .equalsIgnoreCase("CrossRef Test Account"))
+    ) {
       return false;
     }
 
@@ -288,18 +343,12 @@ object DoiBoostMappingUtil {
     if (publication.getAuthor == null || publication.getAuthor.size() == 0)
       return false
 
-
     //filter invalid author
     val authors = publication.getAuthor.asScala.map(s => {
       if (s.getFullname.nonEmpty) {
         s.getFullname
-      }
+      } else
-      else
+        s"${s.getName} ${s.getSurname}"
-        s"${
-          s.getName
-        } ${
-          s.getSurname
-        }"
     })
 
     val c = authors.count(isValidAuthorName)
@@ -307,13 +356,16 @@ object DoiBoostMappingUtil {
       return false
 
     // fixes #4368
-    if (authors.count(s => s.equalsIgnoreCase("Addie Jackson")) > 0 && "Elsevier BV".equalsIgnoreCase(publication.getPublisher.getValue))
+    if (
+      authors.count(s => s.equalsIgnoreCase("Addie Jackson")) > 0 && "Elsevier BV".equalsIgnoreCase(
+        publication.getPublisher.getValue
+      )
+    )
       return false
 
     true
   }
 
-
   def isValidAuthorName(fullName: String): Boolean = {
     if (fullName == null || fullName.isEmpty)
       return false
@@ -322,32 +374,47 @@ object DoiBoostMappingUtil {
     true
   }
 
-
   def generateDataInfo(trust: String): DataInfo = {
     val di = new DataInfo
     di.setDeletedbyinference(false)
     di.setInferred(false)
     di.setInvisible(false)
     di.setTrust(trust)
-    di.setProvenanceaction(OafMapperUtils.qualifier(ModelConstants.SYSIMPORT_ACTIONSET,ModelConstants.SYSIMPORT_ACTIONSET, ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS))
+    di.setProvenanceaction(
+      OafMapperUtils.qualifier(
+        ModelConstants.SYSIMPORT_ACTIONSET,
+        ModelConstants.SYSIMPORT_ACTIONSET,
+        ModelConstants.DNET_PROVENANCE_ACTIONS,
+        ModelConstants.DNET_PROVENANCE_ACTIONS
+      )
+    )
     di
   }
 
-
+  def createSP(
-
+    value: String,
-  def createSP(value: String, classId: String,className:String, schemeId: String, schemeName:String): StructuredProperty = {
+    classId: String,
+    className: String,
+    schemeId: String,
+    schemeName: String
+  ): StructuredProperty = {
     val sp = new StructuredProperty
-    sp.setQualifier(OafMapperUtils.qualifier(classId,className, schemeId, schemeName))
+    sp.setQualifier(OafMapperUtils.qualifier(classId, className, schemeId, schemeName))
     sp.setValue(value)
     sp
 
   }
 
-
+  def createSP(
-
+    value: String,
-  def createSP(value: String, classId: String,className:String, schemeId: String, schemeName:String, dataInfo: DataInfo): StructuredProperty = {
+    classId: String,
+    className: String,
+    schemeId: String,
+    schemeName: String,
+    dataInfo: DataInfo
+  ): StructuredProperty = {
     val sp = new StructuredProperty
-    sp.setQualifier(OafMapperUtils.qualifier(classId,className, schemeId, schemeName))
+    sp.setQualifier(OafMapperUtils.qualifier(classId, className, schemeId, schemeName))
     sp.setValue(value)
     sp.setDataInfo(dataInfo)
     sp
@@ -356,17 +423,20 @@ object DoiBoostMappingUtil {
 
   def createSP(value: String, classId: String, schemeId: String): StructuredProperty = {
     val sp = new StructuredProperty
-    sp.setQualifier(OafMapperUtils.qualifier(classId,classId, schemeId, schemeId))
+    sp.setQualifier(OafMapperUtils.qualifier(classId, classId, schemeId, schemeId))
     sp.setValue(value)
     sp
 
   }
 
-
+  def createSP(
-
+    value: String,
-  def createSP(value: String, classId: String, schemeId: String, dataInfo: DataInfo): StructuredProperty = {
+    classId: String,
+    schemeId: String,
+    dataInfo: DataInfo
+  ): StructuredProperty = {
     val sp = new StructuredProperty
-    sp.setQualifier(OafMapperUtils.qualifier(classId,classId, schemeId, schemeId))
+    sp.setQualifier(OafMapperUtils.qualifier(classId, classId, schemeId, schemeId))
     sp.setValue(value)
     sp.setDataInfo(dataInfo)
     sp
@@ -382,7 +452,6 @@ object DoiBoostMappingUtil {
 
   }
 
-
   def createUnpayWallCollectedFrom(): KeyValue = {
 
     val cf = new KeyValue
@@ -401,15 +470,11 @@ object DoiBoostMappingUtil {
 
   }
 
-
+  def generateIdentifier(oaf: Result, doi: String): String = {
-  def generateIdentifier (oaf: Result, doi: String): String = {
+    val id = DHPUtils.md5(doi.toLowerCase)
-    val id = DHPUtils.md5 (doi.toLowerCase)
     s"50|${doiBoostNSPREFIX}${SEPARATOR}${id}"
   }
 
-
-
-
   def createMAGCollectedFrom(): KeyValue = {
 
     val cf = new KeyValue
@@ -424,19 +489,21 @@ object DoiBoostMappingUtil {
     tmp.setValue(value)
     tmp
 
-
   }
 
   def isEmpty(x: String) = x == null || x.trim.isEmpty
 
-  def normalizeDoi(input : String) :String ={
+  def normalizeDoi(input: String): String = {
-    if(input == null)
+    if (input == null)
       return null
-    val replaced = input.replaceAll("(?:\\n|\\r|\\t|\\s)", "").toLowerCase.replaceFirst(DOI_PREFIX_REGEX, DOI_PREFIX)
+    val replaced = input
-    if  (isEmpty(replaced))
+      .replaceAll("(?:\\n|\\r|\\t|\\s)", "")
+      .toLowerCase
+      .replaceFirst(DOI_PREFIX_REGEX, DOI_PREFIX)
+    if (isEmpty(replaced))
       return null
 
-    if(replaced.indexOf("10.") < 0)
+    if (replaced.indexOf("10.") < 0)
       return null
 
     val ret = replaced.substring(replaced.indexOf("10."))
@@ -446,9 +513,6 @@ object DoiBoostMappingUtil {
 
     return ret
 
-
   }
 
-
-
 }

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala

@@ -17,22 +17,29 @@ object SparkGenerateDOIBoostActionSet {
   def main(args: Array[String]): Unit = {
 
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
     implicit val mapEncoderOrg: Encoder[Organization] = Encoders.kryo[Organization]
     implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
     implicit val mapEncoderRel: Encoder[Relation] = Encoders.kryo[Relation]
-    implicit val mapEncoderAS: Encoder[(String, String)] = Encoders.tuple(Encoders.STRING, Encoders.STRING)
+    implicit val mapEncoderAS: Encoder[(String, String)] =
+      Encoders.tuple(Encoders.STRING, Encoders.STRING)
 
-    implicit val mapEncoderAtomiAction: Encoder[AtomicAction[OafDataset]] = Encoders.kryo[AtomicAction[OafDataset]]
+    implicit val mapEncoderAtomiAction: Encoder[AtomicAction[OafDataset]] =
+      Encoders.kryo[AtomicAction[OafDataset]]
 
     val dbPublicationPath = parser.get("dbPublicationPath")
     val dbDatasetPath = parser.get("dbDatasetPath")
@@ -41,35 +48,61 @@ object SparkGenerateDOIBoostActionSet {
     val dbOrganizationPath = parser.get("dbOrganizationPath")
     val sequenceFilePath = parser.get("sFilePath")
 
-    val asDataset = spark.read.load(dbDatasetPath).as[OafDataset]
+    val asDataset = spark.read
+      .load(dbDatasetPath)
+      .as[OafDataset]
       .filter(p => p != null || p.getId != null)
       .map(d => DoiBoostMappingUtil.fixResult(d))
-      .map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .map(d => DoiBoostMappingUtil.toActionSet(d))(
+        Encoders.tuple(Encoders.STRING, Encoders.STRING)
+      )
 
-
+    val asPublication = spark.read
-    val asPublication = spark.read.load(dbPublicationPath).as[Publication]
+      .load(dbPublicationPath)
+      .as[Publication]
       .filter(p => p != null || p.getId != null)
-      .map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .map(d => DoiBoostMappingUtil.toActionSet(d))(
+        Encoders.tuple(Encoders.STRING, Encoders.STRING)
+      )
 
+    val asOrganization = spark.read
+      .load(dbOrganizationPath)
+      .as[Organization]
+      .map(d => DoiBoostMappingUtil.toActionSet(d))(
+        Encoders.tuple(Encoders.STRING, Encoders.STRING)
+      )
 
-    val asOrganization = spark.read.load(dbOrganizationPath).as[Organization]
+    val asCRelation = spark.read
-      .map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .load(crossRefRelation)
-
+      .as[Relation]
-
-    val asCRelation = spark.read.load(crossRefRelation).as[Relation]
       .filter(r => r != null && r.getSource != null && r.getTarget != null)
-      .map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .map(d => DoiBoostMappingUtil.toActionSet(d))(
+        Encoders.tuple(Encoders.STRING, Encoders.STRING)
+      )
 
+    val asRelAffiliation = spark.read
+      .load(dbaffiliationRelationPath)
+      .as[Relation]
+      .map(d => DoiBoostMappingUtil.toActionSet(d))(
+        Encoders.tuple(Encoders.STRING, Encoders.STRING)
+      )
 
-    val asRelAffiliation = spark.read.load(dbaffiliationRelationPath).as[Relation]
+    val d: Dataset[(String, String)] = asDataset
-      .map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .union(asPublication)
-
+      .union(asOrganization)
-
+      .union(asCRelation)
-    val d: Dataset[(String, String)] = asDataset.union(asPublication).union(asOrganization).union(asCRelation).union(asRelAffiliation)
+      .union(asRelAffiliation)
-
-
-    d.rdd.repartition(6000).map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$sequenceFilePath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text, Text]], classOf[GzipCodec])
 
+    d.rdd
+      .repartition(6000)
+      .map(s => (new Text(s._1), new Text(s._2)))
+      .saveAsHadoopFile(
+        s"$sequenceFilePath",
+        classOf[Text],
+        classOf[Text],
+        classOf[SequenceFileOutputFormat[Text, Text]],
+        classOf[GzipCodec]
+      )
 
   }
 

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala

@@ -15,8 +15,8 @@ import org.json4s.JsonAST.{JField, JObject, JString}
 import org.json4s.jackson.JsonMethods.parse
 import org.slf4j.{Logger, LoggerFactory}
 import scala.collection.JavaConverters._
-object SparkGenerateDoiBoost {
 
+object SparkGenerateDoiBoost {
 
   def extractIdGRID(input: String): List[(String, String)] = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
@@ -26,28 +26,32 @@ object SparkGenerateDoiBoost {
 
     val grids: List[String] = for {
 
-      JObject(pid) <- json \ "pid"
+      JObject(pid)                            <- json \ "pid"
       JField("qualifier", JObject(qualifier)) <- pid
-      JField("classid", JString(classid)) <- qualifier
+      JField("classid", JString(classid))     <- qualifier
-      JField("value", JString(vl)) <- pid
+      JField("value", JString(vl))            <- pid
       if classid == "GRID"
     } yield vl
     grids.map(g => (id, s"unresolved::grid::${g.toLowerCase}"))(collection.breakOut)
   }
 
-
   def main(args: Array[String]): Unit = {
 
     val logger: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/generate_doiboost_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/generate_doiboost_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     import spark.implicits._
 
@@ -65,8 +69,7 @@ object SparkGenerateDoiBoost {
             a._2.setId(a._1)
             return a._2
           }
-        }
+        } else {
-        else {
           if (a != null && a._2 != null) {
             b.mergeFrom(a._2)
             b.setId(a._1)
@@ -82,8 +85,7 @@ object SparkGenerateDoiBoost {
         if (b1 == null) {
           if (b2 != null)
             return b2
-        }
+        } else {
-        else {
           if (b2 != null) {
             b1.mergeFrom(b2)
             val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
@@ -103,17 +105,19 @@ object SparkGenerateDoiBoost {
       override def outputEncoder: Encoder[Publication] = Encoders.kryo[Publication]
     }
 
-
     implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
     implicit val mapEncoderOrg: Encoder[Organization] = Encoders.kryo[Organization]
     implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
-    implicit val tupleForJoinEncoder: Encoder[(String, Publication)] = Encoders.tuple(Encoders.STRING, mapEncoderPub)
+    implicit val tupleForJoinEncoder: Encoder[(String, Publication)] =
+      Encoders.tuple(Encoders.STRING, mapEncoderPub)
     implicit val mapEncoderRel: Encoder[Relation] = Encoders.kryo[Relation]
 
     logger.info("Phase 2) Join Crossref with UnpayWall")
 
-    val crossrefPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/crossrefPublication").as[Publication].map(p => (p.getId, p))
+    val crossrefPublication: Dataset[(String, Publication)] =
-    val uwPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/uwPublication").as[Publication].map(p => (p.getId, p))
+      spark.read.load(s"$workingDirPath/crossrefPublication").as[Publication].map(p => (p.getId, p))
+    val uwPublication: Dataset[(String, Publication)] =
+      spark.read.load(s"$workingDirPath/uwPublication").as[Publication].map(p => (p.getId, p))
 
     def applyMerge(item: ((String, Publication), (String, Publication))): Publication = {
       val crossrefPub = item._1._2
@@ -127,86 +131,140 @@ object SparkGenerateDoiBoost {
       crossrefPub
     }
 
-    crossrefPublication.joinWith(uwPublication, crossrefPublication("_1").equalTo(uwPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/firstJoin")
+    crossrefPublication
+      .joinWith(uwPublication, crossrefPublication("_1").equalTo(uwPublication("_1")), "left")
+      .map(applyMerge)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingDirPath/firstJoin")
     logger.info("Phase 3) Join Result with ORCID")
-    val fj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/firstJoin").as[Publication].map(p => (p.getId, p))
+    val fj: Dataset[(String, Publication)] =
-    val orcidPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/orcidPublication").as[Publication].map(p => (p.getId, p))
+      spark.read.load(s"$workingDirPath/firstJoin").as[Publication].map(p => (p.getId, p))
-    fj.joinWith(orcidPublication, fj("_1").equalTo(orcidPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/secondJoin")
+    val orcidPublication: Dataset[(String, Publication)] =
+      spark.read.load(s"$workingDirPath/orcidPublication").as[Publication].map(p => (p.getId, p))
+    fj.joinWith(orcidPublication, fj("_1").equalTo(orcidPublication("_1")), "left")
+      .map(applyMerge)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingDirPath/secondJoin")
 
     logger.info("Phase 4) Join Result with MAG")
-    val sj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/secondJoin").as[Publication].map(p => (p.getId, p))
+    val sj: Dataset[(String, Publication)] =
+      spark.read.load(s"$workingDirPath/secondJoin").as[Publication].map(p => (p.getId, p))
 
-    val magPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/magPublication").as[Publication].map(p => (p.getId, p))
+    val magPublication: Dataset[(String, Publication)] =
-    sj.joinWith(magPublication, sj("_1").equalTo(magPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublication")
+      spark.read.load(s"$workingDirPath/magPublication").as[Publication].map(p => (p.getId, p))
+    sj.joinWith(magPublication, sj("_1").equalTo(magPublication("_1")), "left")
+      .map(applyMerge)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingDirPath/doiBoostPublication")
 
+    val doiBoostPublication: Dataset[(String, Publication)] = spark.read
+      .load(s"$workingDirPath/doiBoostPublication")
+      .as[Publication]
+      .filter(p => DoiBoostMappingUtil.filterPublication(p))
+      .map(DoiBoostMappingUtil.toISSNPair)(tupleForJoinEncoder)
 
-    val doiBoostPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublication").as[Publication].filter(p => DoiBoostMappingUtil.filterPublication(p)).map(DoiBoostMappingUtil.toISSNPair)(tupleForJoinEncoder)
+    val hostedByDataset: Dataset[(String, HostedByItemType)] = spark.createDataset(
+      spark.sparkContext.textFile(hostedByMapPath).map(DoiBoostMappingUtil.toHostedByItem)
+    )
 
-    val hostedByDataset: Dataset[(String, HostedByItemType)] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath).map(DoiBoostMappingUtil.toHostedByItem))
+    doiBoostPublication
-
+      .joinWith(hostedByDataset, doiBoostPublication("_1").equalTo(hostedByDataset("_1")), "left")
-
-    doiBoostPublication.joinWith(hostedByDataset, doiBoostPublication("_1").equalTo(hostedByDataset("_1")), "left")
       .map(DoiBoostMappingUtil.fixPublication)
       .map(p => (p.getId, p))
       .groupByKey(_._1)
       .agg(crossrefAggregator.toColumn)
       .map(p => p._2)
-      .write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationFiltered")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingDirPath/doiBoostPublicationFiltered")
 
     val affiliationPath = parser.get("affiliationPath")
     val paperAffiliationPath = parser.get("paperAffiliationPath")
 
-    val affiliation = spark.read.load(affiliationPath).select(col("AffiliationId"), col("GridId"), col("OfficialPage"), col("DisplayName"))
+    val affiliation = spark.read
-
+      .load(affiliationPath)
-    val paperAffiliation = spark.read.load(paperAffiliationPath).select(col("AffiliationId").alias("affId"), col("PaperId"))
+      .select(col("AffiliationId"), col("GridId"), col("OfficialPage"), col("DisplayName"))
 
+    val paperAffiliation = spark.read
+      .load(paperAffiliationPath)
+      .select(col("AffiliationId").alias("affId"), col("PaperId"))
 
     val a: Dataset[DoiBoostAffiliation] = paperAffiliation
       .joinWith(affiliation, paperAffiliation("affId").equalTo(affiliation("AffiliationId")))
-      .select(col("_1.PaperId"), col("_2.AffiliationId"), col("_2.GridId"), col("_2.OfficialPage"), col("_2.DisplayName")).as[DoiBoostAffiliation]
+      .select(
+        col("_1.PaperId"),
+        col("_2.AffiliationId"),
+        col("_2.GridId"),
+        col("_2.OfficialPage"),
+        col("_2.DisplayName")
+      )
+      .as[DoiBoostAffiliation]
 
+    val magPubs: Dataset[(String, Publication)] = spark.read
+      .load(s"$workingDirPath/doiBoostPublicationFiltered")
+      .as[Publication]
+      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))(
+        tupleForJoinEncoder
+      )
+      .filter(s => s._1 != null)
 
-    val magPubs: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublicationFiltered").as[Publication]
+    magPubs
-      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))(tupleForJoinEncoder).filter(s => s._1 != null)
+      .joinWith(a, magPubs("_1").equalTo(a("PaperId")))
+      .flatMap(item => {
+        val pub: Publication = item._1._2
+        val affiliation = item._2
+        val affId: String =
+          if (affiliation.GridId.isDefined)
+            s"unresolved::grid::${affiliation.GridId.get.toLowerCase}"
+          else DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString)
+        val r: Relation = new Relation
+        r.setSource(pub.getId)
+        r.setTarget(affId)
+        r.setRelType(ModelConstants.RESULT_ORGANIZATION)
+        r.setRelClass(ModelConstants.HAS_AUTHOR_INSTITUTION)
+        r.setSubRelType(ModelConstants.AFFILIATION)
+        r.setDataInfo(pub.getDataInfo)
+        r.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
+        val r1: Relation = new Relation
+        r1.setTarget(pub.getId)
+        r1.setSource(affId)
+        r1.setRelType(ModelConstants.RESULT_ORGANIZATION)
+        r1.setRelClass(ModelConstants.IS_AUTHOR_INSTITUTION_OF)
+        r1.setSubRelType(ModelConstants.AFFILIATION)
+        r1.setDataInfo(pub.getDataInfo)
+        r1.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
+        List(r, r1)
+      })(mapEncoderRel)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved")
 
+    val unresolvedRels: Dataset[(String, Relation)] = spark.read
+      .load(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved")
+      .as[Relation]
+      .map(r => {
 
-    magPubs.joinWith(a, magPubs("_1").equalTo(a("PaperId"))).flatMap(item => {
+        if (r.getSource.startsWith("unresolved"))
-      val pub: Publication = item._1._2
+          (r.getSource, r)
-      val affiliation = item._2
+        else if (r.getTarget.startsWith("unresolved"))
-      val affId: String = if (affiliation.GridId.isDefined) s"unresolved::grid::${affiliation.GridId.get.toLowerCase}" else DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString)
+          (r.getTarget, r)
-      val r: Relation = new Relation
+        else
-      r.setSource(pub.getId)
+          ("resolved", r)
-      r.setTarget(affId)
+      })(Encoders.tuple(Encoders.STRING, mapEncoderRel))
-      r.setRelType(ModelConstants.RESULT_ORGANIZATION)
-      r.setRelClass(ModelConstants.HAS_AUTHOR_INSTITUTION)
-      r.setSubRelType(ModelConstants.AFFILIATION)
-      r.setDataInfo(pub.getDataInfo)
-      r.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
-      val r1: Relation = new Relation
-      r1.setTarget(pub.getId)
-      r1.setSource(affId)
-      r1.setRelType(ModelConstants.RESULT_ORGANIZATION)
-      r1.setRelClass(ModelConstants.IS_AUTHOR_INSTITUTION_OF)
-      r1.setSubRelType(ModelConstants.AFFILIATION)
-      r1.setDataInfo(pub.getDataInfo)
-      r1.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
-      List(r, r1)
-    })(mapEncoderRel).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved")
 
+    val openaireOrganization: Dataset[(String, String)] = spark.read
+      .text(openaireOrganizationPath)
+      .as[String]
+      .flatMap(s => extractIdGRID(s))
+      .groupByKey(_._2)
+      .reduceGroups((x, y) => if (x != null) x else y)
+      .map(_._2)
 
-    val unresolvedRels: Dataset[(String, Relation)] = spark.read.load(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved").as[Relation].map(r => {
+    unresolvedRels
-
+      .joinWith(openaireOrganization, unresolvedRels("_1").equalTo(openaireOrganization("_2")))
-      if (r.getSource.startsWith("unresolved"))
-        (r.getSource, r)
-      else if (r.getTarget.startsWith("unresolved"))
-        (r.getTarget, r)
-      else
-        ("resolved", r)
-    })(Encoders.tuple(Encoders.STRING, mapEncoderRel))
-
-    val openaireOrganization: Dataset[(String, String)] = spark.read.text(openaireOrganizationPath).as[String].flatMap(s => extractIdGRID(s)).groupByKey(_._2).reduceGroups((x, y) => if (x != null) x else y).map(_._2)
-
-    unresolvedRels.joinWith(openaireOrganization, unresolvedRels("_1").equalTo(openaireOrganization("_2")))
       .map { x =>
         val currentRels = x._1._2
         val currentOrgs = x._2
@@ -216,26 +274,35 @@ object SparkGenerateDoiBoost {
           else
             currentRels.setTarget(currentOrgs._1)
         currentRels
-      }.filter(r => !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved")).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation")
-
-    magPubs.joinWith(a, magPubs("_1").equalTo(a("PaperId"))).map(item => {
-      val affiliation = item._2
-      if (affiliation.GridId.isEmpty) {
-        val o = new Organization
-        o.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
-        o.setDataInfo(DoiBoostMappingUtil.generateDataInfo())
-        o.setId(DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString))
-        o.setOriginalId(List(affiliation.AffiliationId.toString).asJava)
-        if (affiliation.DisplayName.nonEmpty)
-          o.setLegalname(DoiBoostMappingUtil.asField(affiliation.DisplayName.get))
-        if (affiliation.OfficialPage.isDefined)
-          o.setWebsiteurl(DoiBoostMappingUtil.asField(affiliation.OfficialPage.get))
-        o.setCountry(ModelConstants.UNKNOWN_COUNTRY)
-        o
       }
-      else
+      .filter(r => !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved"))
-        null
+      .write
-    }).filter(o => o != null).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostOrganization")
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingDirPath/doiBoostPublicationAffiliation")
+
+    magPubs
+      .joinWith(a, magPubs("_1").equalTo(a("PaperId")))
+      .map(item => {
+        val affiliation = item._2
+        if (affiliation.GridId.isEmpty) {
+          val o = new Organization
+          o.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
+          o.setDataInfo(DoiBoostMappingUtil.generateDataInfo())
+          o.setId(DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString))
+          o.setOriginalId(List(affiliation.AffiliationId.toString).asJava)
+          if (affiliation.DisplayName.nonEmpty)
+            o.setLegalname(DoiBoostMappingUtil.asField(affiliation.DisplayName.get))
+          if (affiliation.OfficialPage.isDefined)
+            o.setWebsiteurl(DoiBoostMappingUtil.asField(affiliation.OfficialPage.get))
+          o.setCountry(ModelConstants.UNKNOWN_COUNTRY)
+          o
+        } else
+          null
+      })
+      .filter(o => o != null)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingDirPath/doiBoostOrganization")
   }
 
 }

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala

@@ -18,70 +18,74 @@ import scala.collection.JavaConverters._
 import scala.collection.mutable
 import scala.util.matching.Regex
 
-case class CrossrefDT(doi: String, json:String, timestamp: Long) {}
+case class CrossrefDT(doi: String, json: String, timestamp: Long) {}
 
 case class mappingAffiliation(name: String) {}
 
-case class mappingAuthor(given: Option[String], family: String, sequence:Option[String], ORCID: Option[String], affiliation: Option[mappingAffiliation]) {}
+case class mappingAuthor(
+  given: Option[String],
+  family: String,
+  sequence: Option[String],
+  ORCID: Option[String],
+  affiliation: Option[mappingAffiliation]
+) {}
 
 case class mappingFunder(name: String, DOI: Option[String], award: Option[List[String]]) {}
 
-
 case object Crossref2Oaf {
   val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
 
   val mappingCrossrefType = Map(
-    "book-section" -> "publication",
+    "book-section"        -> "publication",
-    "book" -> "publication",
+    "book"                -> "publication",
-    "book-chapter" -> "publication",
+    "book-chapter"        -> "publication",
-    "book-part" -> "publication",
+    "book-part"           -> "publication",
-    "book-series" -> "publication",
+    "book-series"         -> "publication",
-    "book-set" -> "publication",
+    "book-set"            -> "publication",
-    "book-track" -> "publication",
+    "book-track"          -> "publication",
-    "edited-book" -> "publication",
+    "edited-book"         -> "publication",
-    "reference-book" -> "publication",
+    "reference-book"      -> "publication",
-    "monograph" -> "publication",
+    "monograph"           -> "publication",
-    "journal-article" -> "publication",
+    "journal-article"     -> "publication",
-    "dissertation" -> "publication",
+    "dissertation"        -> "publication",
-    "other" -> "publication",
+    "other"               -> "publication",
-    "peer-review" -> "publication",
+    "peer-review"         -> "publication",
-    "proceedings" -> "publication",
+    "proceedings"         -> "publication",
     "proceedings-article" -> "publication",
-    "reference-entry" -> "publication",
+    "reference-entry"     -> "publication",
-    "report" -> "publication",
+    "report"              -> "publication",
-    "report-series" -> "publication",
+    "report-series"       -> "publication",
-    "standard" -> "publication",
+    "standard"            -> "publication",
-    "standard-series" -> "publication",
+    "standard-series"     -> "publication",
-    "posted-content" -> "publication",
+    "posted-content"      -> "publication",
-    "dataset" -> "dataset"
+    "dataset"             -> "dataset"
   )
 
-
   val mappingCrossrefSubType = Map(
-    "book-section" -> "0013 Part of book or chapter of book",
+    "book-section"        -> "0013 Part of book or chapter of book",
-    "book" -> "0002 Book",
+    "book"                -> "0002 Book",
-    "book-chapter" -> "0013 Part of book or chapter of book",
+    "book-chapter"        -> "0013 Part of book or chapter of book",
-    "book-part" -> "0013 Part of book or chapter of book",
+    "book-part"           -> "0013 Part of book or chapter of book",
-    "book-series" -> "0002 Book",
+    "book-series"         -> "0002 Book",
-    "book-set" -> "0002 Book",
+    "book-set"            -> "0002 Book",
-    "book-track" -> "0002 Book",
+    "book-track"          -> "0002 Book",
-    "edited-book" -> "0002 Book",
+    "edited-book"         -> "0002 Book",
-    "reference-book" -> "0002 Book",
+    "reference-book"      -> "0002 Book",
-    "monograph" -> "0002 Book",
+    "monograph"           -> "0002 Book",
-    "journal-article" -> "0001 Article",
+    "journal-article"     -> "0001 Article",
-    "dissertation" -> "0044 Thesis",
+    "dissertation"        -> "0044 Thesis",
-    "other" -> "0038 Other literature type",
+    "other"               -> "0038 Other literature type",
-    "peer-review" -> "0015 Review",
+    "peer-review"         -> "0015 Review",
-    "proceedings" -> "0004 Conference object",
+    "proceedings"         -> "0004 Conference object",
     "proceedings-article" -> "0004 Conference object",
-    "reference-entry" -> "0013 Part of book or chapter of book",
+    "reference-entry"     -> "0013 Part of book or chapter of book",
-    "report" -> "0017 Report",
+    "report"              -> "0017 Report",
-    "report-series" -> "0017 Report",
+    "report-series"       -> "0017 Report",
-    "standard" -> "0038 Other literature type",
+    "standard"            -> "0038 Other literature type",
-    "standard-series" -> "0038 Other literature type",
+    "standard-series"     -> "0038 Other literature type",
-    "dataset" -> "0021 Dataset",
+    "dataset"             -> "0021 Dataset",
-    "preprint" -> "0016 Preprint",
+    "preprint"            -> "0016 Preprint",
-    "report" -> "0017 Report"
+    "report"              -> "0017 Report"
   )
 
   def mappingResult(result: Result, json: JValue, cobjCategory: String): Result = {
@@ -100,7 +104,6 @@ case object Crossref2Oaf {
     val originalIds = new util.ArrayList(tmp.filter(id => id != null).asJava)
     result.setOriginalId(originalIds)
 
-
     // Add DataInfo
     result.setDataInfo(generateDataInfo())
 
@@ -111,98 +114,169 @@ case object Crossref2Oaf {
 
     // Publisher ( Name of work's publisher mapped into  Result/Publisher)
     val publisher = (json \ "publisher").extractOrElse[String](null)
-    if (publisher!= null && publisher.nonEmpty)
+    if (publisher != null && publisher.nonEmpty)
       result.setPublisher(asField(publisher))
 
-
     // TITLE
-    val mainTitles = for {JString(title) <- json \ "title" if title.nonEmpty} yield createSP(title, "main title", ModelConstants.DNET_DATACITE_TITLE)
+    val mainTitles =
-    val originalTitles = for {JString(title) <- json \ "original-title" if title.nonEmpty} yield createSP(title, "alternative title", ModelConstants.DNET_DATACITE_TITLE)
+      for { JString(title) <- json \ "title" if title.nonEmpty } yield createSP(
-    val shortTitles = for {JString(title) <- json \ "short-title" if title.nonEmpty} yield createSP(title, "alternative title", ModelConstants.DNET_DATACITE_TITLE)
+        title,
-    val subtitles = for {JString(title) <- json \ "subtitle" if title.nonEmpty} yield createSP(title, "subtitle", ModelConstants.DNET_DATACITE_TITLE)
+        "main title",
+        ModelConstants.DNET_DATACITE_TITLE
+      )
+    val originalTitles = for {
+      JString(title) <- json \ "original-title" if title.nonEmpty
+    } yield createSP(title, "alternative title", ModelConstants.DNET_DATACITE_TITLE)
+    val shortTitles = for {
+      JString(title) <- json \ "short-title" if title.nonEmpty
+    } yield createSP(title, "alternative title", ModelConstants.DNET_DATACITE_TITLE)
+    val subtitles =
+      for { JString(title) <- json \ "subtitle" if title.nonEmpty } yield createSP(
+        title,
+        "subtitle",
+        ModelConstants.DNET_DATACITE_TITLE
+      )
     result.setTitle((mainTitles ::: originalTitles ::: shortTitles ::: subtitles).asJava)
 
     // DESCRIPTION
-    val descriptionList = for {JString(description) <- json \ "abstract"} yield asField(description)
+    val descriptionList =
+      for { JString(description) <- json \ "abstract" } yield asField(description)
     result.setDescription(descriptionList.asJava)
 
     // Source
-    val sourceList = for {JString(source) <- json \ "source" if source!= null && source.nonEmpty} yield asField(source)
+    val sourceList = for {
+      JString(source) <- json \ "source" if source != null && source.nonEmpty
+    } yield asField(source)
     result.setSource(sourceList.asJava)
 
     //RELEVANT DATE Mapping
-    val createdDate = generateDate((json \ "created" \ "date-time").extract[String], (json \ "created" \ "date-parts").extract[List[List[Int]]], "created", ModelConstants.DNET_DATACITE_DATE)
+    val createdDate = generateDate(
-    val postedDate = generateDate((json \ "posted" \ "date-time").extractOrElse[String](null), (json \ "posted" \ "date-parts").extract[List[List[Int]]], "available", ModelConstants.DNET_DATACITE_DATE)
+      (json \ "created" \ "date-time").extract[String],
-    val acceptedDate = generateDate((json \ "accepted" \ "date-time").extractOrElse[String](null), (json \ "accepted" \ "date-parts").extract[List[List[Int]]], "accepted", ModelConstants.DNET_DATACITE_DATE)
+      (json \ "created" \ "date-parts").extract[List[List[Int]]],
-    val publishedPrintDate = generateDate((json \ "published-print" \ "date-time").extractOrElse[String](null), (json \ "published-print" \ "date-parts").extract[List[List[Int]]], "published-print", ModelConstants.DNET_DATACITE_DATE)
+      "created",
-    val publishedOnlineDate = generateDate((json \ "published-online" \ "date-time").extractOrElse[String](null), (json \ "published-online" \ "date-parts").extract[List[List[Int]]], "published-online", ModelConstants.DNET_DATACITE_DATE)
+      ModelConstants.DNET_DATACITE_DATE
+    )
+    val postedDate = generateDate(
+      (json \ "posted" \ "date-time").extractOrElse[String](null),
+      (json \ "posted" \ "date-parts").extract[List[List[Int]]],
+      "available",
+      ModelConstants.DNET_DATACITE_DATE
+    )
+    val acceptedDate = generateDate(
+      (json \ "accepted" \ "date-time").extractOrElse[String](null),
+      (json \ "accepted" \ "date-parts").extract[List[List[Int]]],
+      "accepted",
+      ModelConstants.DNET_DATACITE_DATE
+    )
+    val publishedPrintDate = generateDate(
+      (json \ "published-print" \ "date-time").extractOrElse[String](null),
+      (json \ "published-print" \ "date-parts").extract[List[List[Int]]],
+      "published-print",
+      ModelConstants.DNET_DATACITE_DATE
+    )
+    val publishedOnlineDate = generateDate(
+      (json \ "published-online" \ "date-time").extractOrElse[String](null),
+      (json \ "published-online" \ "date-parts").extract[List[List[Int]]],
+      "published-online",
+      ModelConstants.DNET_DATACITE_DATE
+    )
 
-    val issuedDate = extractDate((json \ "issued" \ "date-time").extractOrElse[String](null), (json \ "issued" \ "date-parts").extract[List[List[Int]]])
+    val issuedDate = extractDate(
+      (json \ "issued" \ "date-time").extractOrElse[String](null),
+      (json \ "issued" \ "date-parts").extract[List[List[Int]]]
+    )
     if (StringUtils.isNotBlank(issuedDate)) {
       result.setDateofacceptance(asField(issuedDate))
-    }
+    } else {
-    else {
       result.setDateofacceptance(asField(createdDate.getValue))
     }
-    result.setRelevantdate(List(createdDate, postedDate, acceptedDate, publishedOnlineDate, publishedPrintDate).filter(p => p != null).asJava)
+    result.setRelevantdate(
+      List(createdDate, postedDate, acceptedDate, publishedOnlineDate, publishedPrintDate)
+        .filter(p => p != null)
+        .asJava
+    )
 
     //Mapping Subject
-    val subjectList:List[String] = (json \ "subject").extractOrElse[List[String]](List())
+    val subjectList: List[String] = (json \ "subject").extractOrElse[List[String]](List())
 
     if (subjectList.nonEmpty) {
-      result.setSubject(subjectList.map(s=> createSP(s, "keywords", ModelConstants.DNET_SUBJECT_TYPOLOGIES)).asJava)
+      result.setSubject(
+        subjectList.map(s => createSP(s, "keywords", ModelConstants.DNET_SUBJECT_TYPOLOGIES)).asJava
+      )
     }
 
-
-
     //Mapping Author
-    val authorList: List[mappingAuthor] = (json \ "author").extractOrElse[List[mappingAuthor]](List())
+    val authorList: List[mappingAuthor] =
+      (json \ "author").extractOrElse[List[mappingAuthor]](List())
 
+    val sorted_list = authorList.sortWith((a: mappingAuthor, b: mappingAuthor) =>
+      a.sequence.isDefined && a.sequence.get.equalsIgnoreCase("first")
+    )
 
-
+    result.setAuthor(sorted_list.zipWithIndex.map { case (a, index) =>
-    val sorted_list = authorList.sortWith((a:mappingAuthor, b:mappingAuthor) => a.sequence.isDefined && a.sequence.get.equalsIgnoreCase("first"))
+      generateAuhtor(a.given.orNull, a.family, a.ORCID.orNull, index)
-
+    }.asJava)
-    result.setAuthor(sorted_list.zipWithIndex.map{case (a, index) => generateAuhtor(a.given.orNull, a.family, a.ORCID.orNull, index)}.asJava)
 
     // Mapping instance
     val instance = new Instance()
     val license = for {
-      JObject(license) <- json \ "license"
+      JObject(license)                                    <- json \ "license"
-      JField("URL", JString(lic)) <- license
+      JField("URL", JString(lic))                         <- license
       JField("content-version", JString(content_version)) <- license
     } yield (asField(lic), content_version)
     val l = license.filter(d => StringUtils.isNotBlank(d._1.getValue))
-    if (l.nonEmpty){
+    if (l.nonEmpty) {
-      if (l exists (d => d._2.equals("vor"))){
+      if (l exists (d => d._2.equals("vor"))) {
-        for(d <- l){
+        for (d <- l) {
-          if (d._2.equals("vor")){
+          if (d._2.equals("vor")) {
             instance.setLicense(d._1)
           }
         }
+      } else {
+        instance.setLicense(l.head._1)
       }
-      else{
-        instance.setLicense(l.head._1)}
     }
 
     // Ticket #6281 added pid to Instance
     instance.setPid(result.getPid)
 
-    val has_review = json \ "relation" \"has-review" \ "id"
+    val has_review = json \ "relation" \ "has-review" \ "id"
 
-    if(has_review != JNothing) {
+    if (has_review != JNothing) {
       instance.setRefereed(
-        OafMapperUtils.qualifier("0001", "peerReviewed", ModelConstants.DNET_REVIEW_LEVELS, ModelConstants.DNET_REVIEW_LEVELS))
+        OafMapperUtils.qualifier(
+          "0001",
+          "peerReviewed",
+          ModelConstants.DNET_REVIEW_LEVELS,
+          ModelConstants.DNET_REVIEW_LEVELS
+        )
+      )
     }
 
-    instance.setAccessright(decideAccessRight(instance.getLicense, result.getDateofacceptance.getValue))
+    instance.setAccessright(
-    instance.setInstancetype(OafMapperUtils.qualifier(cobjCategory.substring(0, 4), cobjCategory.substring(5), ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
+      decideAccessRight(instance.getLicense, result.getDateofacceptance.getValue)
-    result.setResourcetype(OafMapperUtils.qualifier(cobjCategory.substring(0, 4),   cobjCategory.substring(5), ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
+    )
+    instance.setInstancetype(
+      OafMapperUtils.qualifier(
+        cobjCategory.substring(0, 4),
+        cobjCategory.substring(5),
+        ModelConstants.DNET_PUBLICATION_RESOURCE,
+        ModelConstants.DNET_PUBLICATION_RESOURCE
+      )
+    )
+    result.setResourcetype(
+      OafMapperUtils.qualifier(
+        cobjCategory.substring(0, 4),
+        cobjCategory.substring(5),
+        ModelConstants.DNET_PUBLICATION_RESOURCE,
+        ModelConstants.DNET_PUBLICATION_RESOURCE
+      )
+    )
 
     instance.setCollectedfrom(createCrossrefCollectedFrom())
     if (StringUtils.isNotBlank(issuedDate)) {
       instance.setDateofacceptance(asField(issuedDate))
-    }
+    } else {
-    else {
       instance.setDateofacceptance(asField(createdDate.getValue))
     }
     val s: List[String] = List("https://doi.org/" + doi)
@@ -210,10 +284,9 @@ case object Crossref2Oaf {
 //    if (links.nonEmpty) {
 //      instance.setUrl(links.asJava)
 //    }
-    if(s.nonEmpty)
+    if (s.nonEmpty) {
-      {
+      instance.setUrl(s.asJava)
-        instance.setUrl(s.asJava)
+    }
-      }
 
     result.setInstance(List(instance).asJava)
 
@@ -236,15 +309,23 @@ case object Crossref2Oaf {
       result
   }
 
-
+  def generateAuhtor(given: String, family: String, orcid: String, index: Int): Author = {
-  def generateAuhtor(given: String, family: String, orcid: String, index:Int): Author = {
     val a = new Author
     a.setName(given)
     a.setSurname(family)
     a.setFullname(s"$given $family")
-    a.setRank(index+1)
+    a.setRank(index + 1)
     if (StringUtils.isNotBlank(orcid))
-      a.setPid(List(createSP(orcid, ModelConstants.ORCID_PENDING, ModelConstants.DNET_PID_TYPES, generateDataInfo())).asJava)
+      a.setPid(
+        List(
+          createSP(
+            orcid,
+            ModelConstants.ORCID_PENDING,
+            ModelConstants.DNET_PID_TYPES,
+            generateDataInfo()
+          )
+        ).asJava
+      )
 
     a
   }
@@ -255,54 +336,62 @@ case object Crossref2Oaf {
 
     var resultList: List[Oaf] = List()
 
-
     val objectType = (json \ "type").extractOrElse[String](null)
     val objectSubType = (json \ "subtype").extractOrElse[String](null)
     if (objectType == null)
       return resultList
 
-
     val result = generateItemFromType(objectType, objectSubType)
     if (result == null)
       return List()
-    val cOBJCategory = mappingCrossrefSubType.getOrElse(objectType, mappingCrossrefSubType.getOrElse(objectSubType, "0038 Other literature type"))
+    val cOBJCategory = mappingCrossrefSubType.getOrElse(
+      objectType,
+      mappingCrossrefSubType.getOrElse(objectSubType, "0038 Other literature type")
+    )
     mappingResult(result, json, cOBJCategory)
     if (result == null || result.getId == null)
       return List()
 
-
+    val funderList: List[mappingFunder] =
-    val funderList: List[mappingFunder] = (json \ "funder").extractOrElse[List[mappingFunder]](List())
+      (json \ "funder").extractOrElse[List[mappingFunder]](List())
 
     if (funderList.nonEmpty) {
-      resultList = resultList ::: mappingFunderToRelations(funderList, result.getId, createCrossrefCollectedFrom(), result.getDataInfo, result.getLastupdatetimestamp)
+      resultList = resultList ::: mappingFunderToRelations(
+        funderList,
+        result.getId,
+        createCrossrefCollectedFrom(),
+        result.getDataInfo,
+        result.getLastupdatetimestamp
+      )
     }
 
-
     result match {
       case publication: Publication => convertPublication(publication, json, cOBJCategory)
-      case dataset: Dataset => convertDataset(dataset)
+      case dataset: Dataset         => convertDataset(dataset)
     }
 
     resultList = resultList ::: List(result)
     resultList
   }
 
-
+  def mappingFunderToRelations(
-  def mappingFunderToRelations(funders: List[mappingFunder], sourceId: String, cf: KeyValue, di: DataInfo, ts: Long): List[Relation] = {
+    funders: List[mappingFunder],
+    sourceId: String,
+    cf: KeyValue,
+    di: DataInfo,
+    ts: Long
+  ): List[Relation] = {
 
     val queue = new mutable.Queue[Relation]
 
-
+    def snsfRule(award: String): String = {
-    def snsfRule(award:String): String = {
+      val tmp1 = StringUtils.substringAfter(award, "_")
-      val tmp1 = StringUtils.substringAfter(award,"_")
+      val tmp2 = StringUtils.substringBefore(tmp1, "/")
-      val tmp2 = StringUtils.substringBefore(tmp1,"/")
       logger.debug(s"From $award to $tmp2")
       tmp2
 
-
     }
 
-
     def extractECAward(award: String): String = {
       val awardECRegex: Regex = "[0-9]{4,9}".r
       if (awardECRegex.findAllIn(award).hasNext)
@@ -310,8 +399,7 @@ case object Crossref2Oaf {
       null
     }
 
-
+    def generateRelation(sourceId: String, targetId: String, relClass: String): Relation = {
-    def generateRelation(sourceId:String, targetId:String, relClass:String) :Relation = {
 
       val r = new Relation
       r.setSource(sourceId)
@@ -324,98 +412,119 @@ case object Crossref2Oaf {
       r.setLastupdatetimestamp(ts)
       r
 
-
     }
 
-
+    def generateSimpleRelationFromAward(
-    def generateSimpleRelationFromAward(funder: mappingFunder, nsPrefix: String, extractField: String => String): Unit = {
+      funder: mappingFunder,
+      nsPrefix: String,
+      extractField: String => String
+    ): Unit = {
       if (funder.award.isDefined && funder.award.get.nonEmpty)
-        funder.award.get.map(extractField).filter(a => a!= null &&  a.nonEmpty).foreach(
+        funder.award.get
-          award => {
+          .map(extractField)
+          .filter(a => a != null && a.nonEmpty)
+          .foreach(award => {
             val targetId = getProjectId(nsPrefix, DHPUtils.md5(award))
-            queue += generateRelation(sourceId, targetId , ModelConstants.IS_PRODUCED_BY)
+            queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
-            queue += generateRelation(targetId , sourceId, ModelConstants.PRODUCES)
+            queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
-          }
+          })
-        )
     }
 
-    def getProjectId (nsPrefix:String, targetId:String):String = {
+    def getProjectId(nsPrefix: String, targetId: String): String = {
       s"40|$nsPrefix::$targetId"
     }
 
-
     if (funders != null)
-    funders.foreach(funder => {
+      funders.foreach(funder => {
-      if (funder.DOI.isDefined && funder.DOI.get.nonEmpty) {
+        if (funder.DOI.isDefined && funder.DOI.get.nonEmpty) {
-        funder.DOI.get match {
+          funder.DOI.get match {
-          case "10.13039/100010663" |
+            case "10.13039/100010663" | "10.13039/100010661" | "10.13039/501100007601" | "10.13039/501100000780" |
-               "10.13039/100010661" |
+                "10.13039/100010665" =>
-               "10.13039/501100007601" |
+              generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
-               "10.13039/501100000780" |
+            case "10.13039/100011199" | "10.13039/100004431" | "10.13039/501100004963" | "10.13039/501100000780" =>
-               "10.13039/100010665" =>      generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
+              generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
-          case "10.13039/100011199" |
+            case "10.13039/501100000781" =>
-               "10.13039/100004431" |
+              generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
-               "10.13039/501100004963" |
+              generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
-               "10.13039/501100000780" =>   generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
+            case "10.13039/100000001" =>
-          case "10.13039/501100000781" =>   generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
+              generateSimpleRelationFromAward(funder, "nsf_________", a => a)
-                                            generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
+            case "10.13039/501100001665" =>
-          case "10.13039/100000001" =>      generateSimpleRelationFromAward(funder, "nsf_________", a => a)
+              generateSimpleRelationFromAward(funder, "anr_________", a => a)
-          case "10.13039/501100001665" =>   generateSimpleRelationFromAward(funder, "anr_________", a => a)
+            case "10.13039/501100002341" =>
-          case "10.13039/501100002341" =>   generateSimpleRelationFromAward(funder, "aka_________", a => a)
+              generateSimpleRelationFromAward(funder, "aka_________", a => a)
-          case "10.13039/501100001602" =>   generateSimpleRelationFromAward(funder, "aka_________", a => a.replace("SFI", ""))
+            case "10.13039/501100001602" =>
-          case "10.13039/501100000923" =>   generateSimpleRelationFromAward(funder, "arc_________", a => a)
+              generateSimpleRelationFromAward(funder, "aka_________", a => a.replace("SFI", ""))
-          case "10.13039/501100000038"=>    val targetId = getProjectId("nserc_______" , "1e5e62235d094afd01cd56e65112fc63")
+            case "10.13039/501100000923" =>
-                                            queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
+              generateSimpleRelationFromAward(funder, "arc_________", a => a)
-                                            queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
+            case "10.13039/501100000038" =>
-          case "10.13039/501100000155"=>    val targetId = getProjectId("sshrc_______" , "1e5e62235d094afd01cd56e65112fc63")
+              val targetId = getProjectId("nserc_______", "1e5e62235d094afd01cd56e65112fc63")
-                                            queue += generateRelation(sourceId,targetId, ModelConstants.IS_PRODUCED_BY)
+              queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
-                                            queue += generateRelation(targetId,sourceId, ModelConstants.PRODUCES)
+              queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
-          case "10.13039/501100000024"=>    val targetId = getProjectId("cihr________" , "1e5e62235d094afd01cd56e65112fc63")
+            case "10.13039/501100000155" =>
-                                            queue += generateRelation(sourceId,targetId, ModelConstants.IS_PRODUCED_BY)
+              val targetId = getProjectId("sshrc_______", "1e5e62235d094afd01cd56e65112fc63")
-                                            queue += generateRelation(targetId,sourceId, ModelConstants.PRODUCES)
+              queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
-          case "10.13039/501100002848" =>   generateSimpleRelationFromAward(funder, "conicytf____", a => a)
+              queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
-          case "10.13039/501100003448" =>   generateSimpleRelationFromAward(funder, "gsrt________", extractECAward)
+            case "10.13039/501100000024" =>
-          case "10.13039/501100010198" =>   generateSimpleRelationFromAward(funder, "sgov________", a=>a)
+              val targetId = getProjectId("cihr________", "1e5e62235d094afd01cd56e65112fc63")
-          case "10.13039/501100004564" =>   generateSimpleRelationFromAward(funder, "mestd_______", extractECAward)
+              queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
-          case "10.13039/501100003407" =>   generateSimpleRelationFromAward(funder, "miur________", a=>a)
+              queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
-                                            val targetId = getProjectId("miur________" , "1e5e62235d094afd01cd56e65112fc63")
+            case "10.13039/501100002848" =>
-                                            queue += generateRelation(sourceId,targetId, ModelConstants.IS_PRODUCED_BY)
+              generateSimpleRelationFromAward(funder, "conicytf____", a => a)
-                                            queue += generateRelation(targetId,sourceId, ModelConstants.PRODUCES)
+            case "10.13039/501100003448" =>
-          case "10.13039/501100006588" |
+              generateSimpleRelationFromAward(funder, "gsrt________", extractECAward)
-                "10.13039/501100004488" =>  generateSimpleRelationFromAward(funder, "irb_hr______", a=>a.replaceAll("Project No.", "").replaceAll("HRZZ-","") )
+            case "10.13039/501100010198" =>
-          case "10.13039/501100006769"=>    generateSimpleRelationFromAward(funder, "rsf_________", a=>a)
+              generateSimpleRelationFromAward(funder, "sgov________", a => a)
-          case "10.13039/501100001711"=>    generateSimpleRelationFromAward(funder, "snsf________", snsfRule)
+            case "10.13039/501100004564" =>
-          case "10.13039/501100004410"=>    generateSimpleRelationFromAward(funder, "tubitakf____", a =>a)
+              generateSimpleRelationFromAward(funder, "mestd_______", extractECAward)
-          case "10.10.13039/100004440"=>    generateSimpleRelationFromAward(funder, "wt__________", a =>a)
+            case "10.13039/501100003407" =>
-          case "10.13039/100004440"=>       val targetId = getProjectId("wt__________" , "1e5e62235d094afd01cd56e65112fc63")
+              generateSimpleRelationFromAward(funder, "miur________", a => a)
-                                            queue += generateRelation(sourceId,targetId, ModelConstants.IS_PRODUCED_BY)
+              val targetId = getProjectId("miur________", "1e5e62235d094afd01cd56e65112fc63")
-                                            queue += generateRelation(targetId,sourceId, ModelConstants.PRODUCES)
+              queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
+              queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
+            case "10.13039/501100006588" | "10.13039/501100004488" =>
+              generateSimpleRelationFromAward(
+                funder,
+                "irb_hr______",
+                a => a.replaceAll("Project No.", "").replaceAll("HRZZ-", "")
+              )
+            case "10.13039/501100006769" =>
+              generateSimpleRelationFromAward(funder, "rsf_________", a => a)
+            case "10.13039/501100001711" =>
+              generateSimpleRelationFromAward(funder, "snsf________", snsfRule)
+            case "10.13039/501100004410" =>
+              generateSimpleRelationFromAward(funder, "tubitakf____", a => a)
+            case "10.10.13039/100004440" =>
+              generateSimpleRelationFromAward(funder, "wt__________", a => a)
+            case "10.13039/100004440" =>
+              val targetId = getProjectId("wt__________", "1e5e62235d094afd01cd56e65112fc63")
+              queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
+              queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
 
-          case _ =>                         logger.debug("no match for "+funder.DOI.get )
+            case _ => logger.debug("no match for " + funder.DOI.get)
 
+          }
 
+        } else {
+          funder.name match {
+            case "European Union’s Horizon 2020 research and innovation program" =>
+              generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
+            case "European Union's" =>
+              generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
+              generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
+            case "The French National Research Agency (ANR)" | "The French National Research Agency" =>
+              generateSimpleRelationFromAward(funder, "anr_________", a => a)
+            case "CONICYT, Programa de Formación de Capital Humano Avanzado" =>
+              generateSimpleRelationFromAward(funder, "conicytf____", extractECAward)
+            case "Wellcome Trust Masters Fellowship" =>
+              val targetId = getProjectId("wt__________", "1e5e62235d094afd01cd56e65112fc63")
+              queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
+              queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
+            case _ => logger.debug("no match for " + funder.name)
+
+          }
         }
 
-
+      })
-      } else {
-        funder.name match {
-          case "European Union’s Horizon 2020 research and innovation program" => generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
-          case "European Union's" =>
-            generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
-            generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
-          case "The French National Research Agency (ANR)" |
-               "The French National Research Agency" => generateSimpleRelationFromAward(funder, "anr_________", a => a)
-          case "CONICYT, Programa de Formación de Capital Humano Avanzado" => generateSimpleRelationFromAward(funder, "conicytf____", extractECAward)
-          case "Wellcome Trust Masters Fellowship" =>  val targetId = getProjectId("wt__________", "1e5e62235d094afd01cd56e65112fc63")
-                                                        queue +=  generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY )
-                                                        queue +=  generateRelation(targetId, sourceId, ModelConstants.PRODUCES )
-          case _ =>                         logger.debug("no match for "+funder.name )
-
-        }
-      }
-
-    }
-    )
     queue.toList
   }
 
@@ -423,33 +532,31 @@ case object Crossref2Oaf {
     // TODO check if there are other info to map into the Dataset
   }
 
-
   def convertPublication(publication: Publication, json: JValue, cobjCategory: String): Unit = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
-    val containerTitles = for {JString(ct) <- json \ "container-title"} yield ct
+    val containerTitles = for { JString(ct) <- json \ "container-title" } yield ct
-
 
     //Mapping book
     if (cobjCategory.toLowerCase.contains("book")) {
-      val ISBN = for {JString(isbn) <- json \ "ISBN"} yield isbn
+      val ISBN = for { JString(isbn) <- json \ "ISBN" } yield isbn
       if (ISBN.nonEmpty && containerTitles.nonEmpty) {
         val source = s"${containerTitles.head} ISBN: ${ISBN.head}"
         if (publication.getSource != null) {
           val l: List[Field[String]] = publication.getSource.asScala.toList
           val ll: List[Field[String]] = l ::: List(asField(source))
           publication.setSource(ll.asJava)
-        }
+        } else
-        else
           publication.setSource(List(asField(source)).asJava)
       }
     } else {
       // Mapping Journal
 
-      val issnInfos = for {JArray(issn_types) <- json \ "issn-type"
+      val issnInfos = for {
-                           JObject(issn_type) <- issn_types
+        JArray(issn_types)           <- json \ "issn-type"
-                           JField("type", JString(tp)) <- issn_type
+        JObject(issn_type)           <- issn_types
-                           JField("value", JString(vl)) <- issn_type
+        JField("type", JString(tp))  <- issn_type
-                           } yield Tuple2(tp, vl)
+        JField("value", JString(vl)) <- issn_type
+      } yield Tuple2(tp, vl)
 
       val volume = (json \ "volume").extractOrElse[String](null)
       if (containerTitles.nonEmpty) {
@@ -460,7 +567,7 @@ case object Crossref2Oaf {
           issnInfos.foreach(tp => {
             tp._1 match {
               case "electronic" => journal.setIssnOnline(tp._2)
-              case "print" => journal.setIssnPrinted(tp._2)
+              case "print"      => journal.setIssnPrinted(tp._2)
             }
           })
         }
@@ -494,7 +601,12 @@ case object Crossref2Oaf {
 
   }
 
-  def generateDate(dt: String, datePart: List[List[Int]], classId: String, schemeId: String): StructuredProperty = {
+  def generateDate(
+    dt: String,
+    datePart: List[List[Int]],
+    classId: String,
+    schemeId: String
+  ): StructuredProperty = {
     val dp = extractDate(dt, datePart)
     if (StringUtils.isNotBlank(dp))
       return createSP(dp, classId, schemeId)

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/CrossrefDataset.scala

@@ -16,7 +16,6 @@ object CrossrefDataset {
 
   val logger: Logger = LoggerFactory.getLogger(SparkMapDumpIntoOAF.getClass)
 
-
   def to_item(input: String): CrossrefDT = {
 
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
@@ -29,19 +28,24 @@ object CrossrefDataset {
 
   def main(args: Array[String]): Unit = {
 
-
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(CrossrefDataset.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_to_dataset_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        CrossrefDataset.getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/doiboost/crossref_to_dataset_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(SparkMapDumpIntoOAF.getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
     import spark.implicits._
 
-
     val crossrefAggregator = new Aggregator[CrossrefDT, CrossrefDT, CrossrefDT] with Serializable {
 
       override def zero: CrossrefDT = null
@@ -52,7 +56,6 @@ object CrossrefDataset {
         if (a == null)
           return b
 
-
         if (a.timestamp > b.timestamp) {
           return a
         }
@@ -80,19 +83,24 @@ object CrossrefDataset {
 
     val workingPath: String = parser.get("workingPath")
 
-
     val main_ds: Dataset[CrossrefDT] = spark.read.load(s"$workingPath/crossref_ds").as[CrossrefDT]
 
-
     val update =
-      spark.createDataset(spark.sparkContext.sequenceFile(s"$workingPath/index_update", classOf[IntWritable], classOf[Text])
+      spark.createDataset(
-        .map(i => CrossrefImporter.decompressBlob(i._2.toString))
+        spark.sparkContext
-        .map(i => to_item(i)))
+          .sequenceFile(s"$workingPath/index_update", classOf[IntWritable], classOf[Text])
+          .map(i => CrossrefImporter.decompressBlob(i._2.toString))
+          .map(i => to_item(i))
+      )
 
-    main_ds.union(update).groupByKey(_.doi)
+    main_ds
+      .union(update)
+      .groupByKey(_.doi)
       .agg(crossrefAggregator.toColumn)
       .map(s => s._2)
-      .write.mode(SaveMode.Overwrite).save(s"$workingPath/crossref_ds_updated")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/crossref_ds_updated")
 
   }
 

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/GenerateCrossrefDataset.scala

@@ -18,7 +18,6 @@ object GenerateCrossrefDataset {
 
   implicit val mrEncoder: Encoder[CrossrefDT] = Encoders.kryo[CrossrefDT]
 
-
   def crossrefElement(meta: String): CrossrefDT = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(meta)
@@ -30,13 +29,23 @@ object GenerateCrossrefDataset {
 
   def main(args: Array[String]): Unit = {
     val conf = new SparkConf
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_dump_reader/generate_dataset_params.json")).mkString)
+    val parser = new ArgumentApplicationParser(
+      Source
+        .fromInputStream(
+          getClass.getResourceAsStream(
+            "/eu/dnetlib/dhp/doiboost/crossref_dump_reader/generate_dataset_params.json"
+          )
+        )
+        .mkString
+    )
     parser.parseArgument(args)
     val master = parser.get("master")
     val sourcePath = parser.get("sourcePath")
     val targetPath = parser.get("targetPath")
 
-    val spark: SparkSession = SparkSession.builder().config(conf)
+    val spark: SparkSession = SparkSession
+      .builder()
+      .config(conf)
       .appName(UnpackCrtossrefEntries.getClass.getSimpleName)
       .master(master)
       .getOrCreate()
@@ -44,12 +53,14 @@ object GenerateCrossrefDataset {
 
     import spark.implicits._
 
-
     val tmp: RDD[String] = sc.textFile(sourcePath, 6000)
 
-    spark.createDataset(tmp)
+    spark
+      .createDataset(tmp)
       .map(entry => crossrefElement(entry))
-      .write.mode(SaveMode.Overwrite).save(targetPath)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(targetPath)
     //               .map(meta => crossrefElement(meta))
     //               .toDS.as[CrossrefDT]
     //              .write.mode(SaveMode.Overwrite).save(targetPath)

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala

@@ -8,7 +8,6 @@ import org.apache.spark.SparkConf
 import org.apache.spark.sql._
 import org.slf4j.{Logger, LoggerFactory}
 
-
 case class Reference(author: String, firstPage: String) {}
 
 object SparkMapDumpIntoOAF {
@@ -19,14 +18,21 @@ object SparkMapDumpIntoOAF {
 
     val logger: Logger = LoggerFactory.getLogger(SparkMapDumpIntoOAF.getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkMapDumpIntoOAF.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/convert_crossref_dump_to_oaf_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        SparkMapDumpIntoOAF.getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/doiboost/convert_crossref_dump_to_oaf_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(SparkMapDumpIntoOAF.getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
     implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
@@ -35,19 +41,34 @@ object SparkMapDumpIntoOAF {
 
     val targetPath = parser.get("targetPath")
 
-    spark.read.load(parser.get("sourcePath")).as[CrossrefDT]
+    spark.read
+      .load(parser.get("sourcePath"))
+      .as[CrossrefDT]
       .flatMap(k => Crossref2Oaf.convert(k.json))
       .filter(o => o != null)
-      .write.mode(SaveMode.Overwrite).save(s"$targetPath/mixObject")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/mixObject")
 
-    val ds:Dataset[Oaf] = spark.read.load(s"$targetPath/mixObject").as[Oaf]
+    val ds: Dataset[Oaf] = spark.read.load(s"$targetPath/mixObject").as[Oaf]
 
-    ds.filter(o => o.isInstanceOf[Publication]).map(o => o.asInstanceOf[Publication]).write.mode(SaveMode.Overwrite).save(s"$targetPath/crossrefPublication")
+    ds.filter(o => o.isInstanceOf[Publication])
+      .map(o => o.asInstanceOf[Publication])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/crossrefPublication")
 
-    ds.filter(o => o.isInstanceOf[Relation]).map(o => o.asInstanceOf[Relation]).write.mode(SaveMode.Overwrite).save(s"$targetPath/crossrefRelation")
+    ds.filter(o => o.isInstanceOf[Relation])
+      .map(o => o.asInstanceOf[Relation])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/crossrefRelation")
 
-    ds.filter(o => o.isInstanceOf[OafDataset]).map(o => o.asInstanceOf[OafDataset]).write.mode(SaveMode.Overwrite).save(s"$targetPath/crossrefDataset")
+    ds.filter(o => o.isInstanceOf[OafDataset])
+      .map(o => o.asInstanceOf[OafDataset])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/crossrefDataset")
   }
 
-
 }

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/UnpackCrtossrefEntries.scala

@@ -16,7 +16,6 @@ object UnpackCrtossrefEntries {
 
   val log: Logger = LoggerFactory.getLogger(UnpackCrtossrefEntries.getClass)
 
-
   def extractDump(input: String): List[String] = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(input)
@@ -24,28 +23,36 @@ object UnpackCrtossrefEntries {
     val a = (json \ "items").extract[JArray]
     a.arr.map(s => compact(render(s)))
 
-
   }
 
-
   def main(args: Array[String]): Unit = {
     val conf = new SparkConf
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_dump_reader/generate_dataset_params.json")).mkString)
+    val parser = new ArgumentApplicationParser(
+      Source
+        .fromInputStream(
+          getClass.getResourceAsStream(
+            "/eu/dnetlib/dhp/doiboost/crossref_dump_reader/generate_dataset_params.json"
+          )
+        )
+        .mkString
+    )
     parser.parseArgument(args)
     val master = parser.get("master")
     val sourcePath = parser.get("sourcePath")
     val targetPath = parser.get("targetPath")
 
-    val spark: SparkSession = SparkSession.builder().config(conf)
+    val spark: SparkSession = SparkSession
+      .builder()
+      .config(conf)
       .appName(UnpackCrtossrefEntries.getClass.getSimpleName)
       .master(master)
       .getOrCreate()
     val sc: SparkContext = spark.sparkContext
 
-    sc.wholeTextFiles(sourcePath, 6000).flatMap(d => extractDump(d._2))
+    sc.wholeTextFiles(sourcePath, 6000)
+      .flatMap(d => extractDump(d._2))
       .saveAsTextFile(targetPath, classOf[GzipCodec])
 
-
   }
 
 }

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/MagDataModel.scala

@@ -1,6 +1,5 @@
 package eu.dnetlib.doiboost.mag
 
-
 import eu.dnetlib.dhp.schema.common.ModelConstants
 import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory
 import eu.dnetlib.dhp.schema.oaf.{Instance, Journal, Publication, StructuredProperty}
@@ -14,59 +13,134 @@ import scala.collection.JavaConverters._
 import scala.collection.mutable
 import scala.util.matching.Regex
 
-
+case class MagPapers(
-case class MagPapers(PaperId: Long, Rank: Integer, Doi: String,
+  PaperId: Long,
-                     DocType: String, PaperTitle: String, OriginalTitle: String,
+  Rank: Integer,
-                     BookTitle: String, Year: Option[Integer], Date: Option[java.sql.Timestamp], Publisher: String,
+  Doi: String,
-                     JournalId: Option[Long], ConferenceSeriesId: Option[Long], ConferenceInstanceId: Option[Long],
+  DocType: String,
-                     Volume: String, Issue: String, FirstPage: String, LastPage: String,
+  PaperTitle: String,
-                     ReferenceCount: Option[Long], CitationCount: Option[Long], EstimatedCitation: Option[Long],
+  OriginalTitle: String,
-                     OriginalVenue: String, FamilyId: Option[Long], CreatedDate: java.sql.Timestamp) {}
+  BookTitle: String,
-
+  Year: Option[Integer],
+  Date: Option[java.sql.Timestamp],
+  Publisher: String,
+  JournalId: Option[Long],
+  ConferenceSeriesId: Option[Long],
+  ConferenceInstanceId: Option[Long],
+  Volume: String,
+  Issue: String,
+  FirstPage: String,
+  LastPage: String,
+  ReferenceCount: Option[Long],
+  CitationCount: Option[Long],
+  EstimatedCitation: Option[Long],
+  OriginalVenue: String,
+  FamilyId: Option[Long],
+  CreatedDate: java.sql.Timestamp
+) {}
 
 case class MagPaperAbstract(PaperId: Long, IndexedAbstract: String) {}
 
-case class MagAuthor(AuthorId: Long, Rank: Option[Int], NormalizedName: Option[String], DisplayName: Option[String], LastKnownAffiliationId: Option[Long], PaperCount: Option[Long], CitationCount: Option[Long], CreatedDate: Option[java.sql.Timestamp]) {}
+case class MagAuthor(
+  AuthorId: Long,
+  Rank: Option[Int],
+  NormalizedName: Option[String],
+  DisplayName: Option[String],
+  LastKnownAffiliationId: Option[Long],
+  PaperCount: Option[Long],
+  CitationCount: Option[Long],
+  CreatedDate: Option[java.sql.Timestamp]
+) {}
 
-case class MagAffiliation(AffiliationId: Long, Rank: Int, NormalizedName: String, DisplayName: String, GridId: String, OfficialPage: String, WikiPage: String, PaperCount: Long, CitationCount: Long, Latitude: Option[Float], Longitude: Option[Float], CreatedDate: java.sql.Timestamp) {}
+case class MagAffiliation(
+  AffiliationId: Long,
+  Rank: Int,
+  NormalizedName: String,
+  DisplayName: String,
+  GridId: String,
+  OfficialPage: String,
+  WikiPage: String,
+  PaperCount: Long,
+  CitationCount: Long,
+  Latitude: Option[Float],
+  Longitude: Option[Float],
+  CreatedDate: java.sql.Timestamp
+) {}
 
-case class MagPaperAuthorAffiliation(PaperId: Long, AuthorId: Long, AffiliationId: Option[Long], AuthorSequenceNumber: Int, OriginalAuthor: String, OriginalAffiliation: String) {}
+case class MagPaperAuthorAffiliation(
+  PaperId: Long,
+  AuthorId: Long,
+  AffiliationId: Option[Long],
+  AuthorSequenceNumber: Int,
+  OriginalAuthor: String,
+  OriginalAffiliation: String
+) {}
 
-
+case class MagAuthorAffiliation(author: MagAuthor, affiliation: String, sequenceNumber: Int)
-case class MagAuthorAffiliation(author: MagAuthor, affiliation:String, sequenceNumber:Int)
 
 case class MagPaperWithAuthorList(PaperId: Long, authors: List[MagAuthorAffiliation]) {}
 
-case class MagPaperAuthorDenormalized(PaperId: Long, author: MagAuthor, affiliation:String, sequenceNumber:Int) {}
+case class MagPaperAuthorDenormalized(
+  PaperId: Long,
+  author: MagAuthor,
+  affiliation: String,
+  sequenceNumber: Int
+) {}
 
-case class MagPaperUrl(PaperId: Long, SourceType: Option[Int], SourceUrl: Option[String], LanguageCode: Option[String]) {}
+case class MagPaperUrl(
+  PaperId: Long,
+  SourceType: Option[Int],
+  SourceUrl: Option[String],
+  LanguageCode: Option[String]
+) {}
 
-case class MagUrlInstance(SourceUrl:String){}
+case class MagUrlInstance(SourceUrl: String) {}
 
 case class MagUrl(PaperId: Long, instances: List[MagUrlInstance])
 
-case class MagSubject(FieldOfStudyId:Long, DisplayName:String, MainType:Option[String], Score:Float){}
+case class MagSubject(
+  FieldOfStudyId: Long,
+  DisplayName: String,
+  MainType: Option[String],
+  Score: Float
+) {}
 
-case class MagFieldOfStudy(PaperId:Long, subjects:List[MagSubject]) {}
+case class MagFieldOfStudy(PaperId: Long, subjects: List[MagSubject]) {}
 
-case class MagJournal(JournalId: Long, Rank: Option[Int], NormalizedName: Option[String], DisplayName: Option[String], Issn: Option[String], Publisher: Option[String], Webpage: Option[String], PaperCount: Option[Long], CitationCount: Option[Long], CreatedDate: Option[java.sql.Timestamp]) {}
+case class MagJournal(
+  JournalId: Long,
+  Rank: Option[Int],
+  NormalizedName: Option[String],
+  DisplayName: Option[String],
+  Issn: Option[String],
+  Publisher: Option[String],
+  Webpage: Option[String],
+  PaperCount: Option[Long],
+  CitationCount: Option[Long],
+  CreatedDate: Option[java.sql.Timestamp]
+) {}
 
-
+case class MagConferenceInstance(
-case class MagConferenceInstance(ci:Long, DisplayName:Option[String], Location:Option[String], StartDate:Option[java.sql.Timestamp],   EndDate:Option[java.sql.Timestamp],  PaperId:Long){}
+  ci: Long,
+  DisplayName: Option[String],
+  Location: Option[String],
+  StartDate: Option[java.sql.Timestamp],
+  EndDate: Option[java.sql.Timestamp],
+  PaperId: Long
+) {}
 
 case object ConversionUtil {
 
-  def extractMagIdentifier(pids:mutable.Buffer[String]) :String ={
+  def extractMagIdentifier(pids: mutable.Buffer[String]): String = {
     val magIDRegex: Regex = "^[0-9]+$".r
-    val s =pids.filter(p=> magIDRegex.findAllIn(p).hasNext)
+    val s = pids.filter(p => magIDRegex.findAllIn(p).hasNext)
 
     if (s.nonEmpty)
       return s.head
     null
   }
 
-
+  def mergePublication(a: Publication, b: Publication): Publication = {
-  def mergePublication(a: Publication, b:Publication) : Publication = {
     if ((a != null) && (b != null)) {
       a.mergeFrom(b)
       a
@@ -74,10 +148,9 @@ case object ConversionUtil {
       if (a == null) b else a
     }
 
-
   }
 
-  def choiceLatestMagArtitcle(p1: MagPapers, p2:MagPapers) :MagPapers = {
+  def choiceLatestMagArtitcle(p1: MagPapers, p2: MagPapers): MagPapers = {
     var r = if (p1 == null) p2 else p1
     if (p1 != null && p2 != null) {
       if (p1.CreatedDate != null && p2.CreatedDate != null) {
@@ -93,8 +166,9 @@ case object ConversionUtil {
 
   }
 
-
+  def updatePubsWithDescription(
-  def updatePubsWithDescription(inputItem:((String, Publication), MagPaperAbstract)) : Publication = {
+    inputItem: ((String, Publication), MagPaperAbstract)
+  ): Publication = {
     val pub = inputItem._1._2
     val abst = inputItem._2
     if (abst != null) {
@@ -104,20 +178,22 @@ case object ConversionUtil {
 
   }
 
+  def updatePubsWithConferenceInfo(
+    inputItem: ((String, Publication), MagConferenceInstance)
+  ): Publication = {
+    val publication: Publication = inputItem._1._2
+    val ci: MagConferenceInstance = inputItem._2
 
-  def updatePubsWithConferenceInfo(inputItem:((String, Publication), MagConferenceInstance)) : Publication = {
+    if (ci != null) {
-    val publication:Publication= inputItem._1._2
-    val ci:MagConferenceInstance = inputItem._2
 
-    if (ci!= null){
+      val j: Journal = new Journal
-
-      val j:Journal = new Journal
       if (ci.Location.isDefined)
         j.setConferenceplace(ci.Location.get)
       j.setName(ci.DisplayName.get)
-      if (ci.StartDate.isDefined && ci.EndDate.isDefined)
+      if (ci.StartDate.isDefined && ci.EndDate.isDefined) {
-      {
+        j.setConferencedate(
-        j.setConferencedate(s"${ci.StartDate.get.toString.substring(0,10)} - ${ci.EndDate.get.toString.substring(0,10)}")
+          s"${ci.StartDate.get.toString.substring(0, 10)} - ${ci.EndDate.get.toString.substring(0, 10)}"
+        )
       }
 
       publication.setJournal(j)
@@ -125,7 +201,7 @@ case object ConversionUtil {
     publication
   }
 
-  def updatePubsWithSubject(item:((String, Publication), MagFieldOfStudy)) : Publication = {
+  def updatePubsWithSubject(item: ((String, Publication), MagFieldOfStudy)): Publication = {
 
     val publication = item._1._2
     val fieldOfStudy = item._2
@@ -135,16 +211,34 @@ case object ConversionUtil {
       val classid = "MAG"
 
       val p: List[StructuredProperty] = fieldOfStudy.subjects.flatMap(s => {
-        val s1 = createSP(s.DisplayName, classid,className, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES)
+        val s1 = createSP(
+          s.DisplayName,
+          classid,
+          className,
+          ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+          ModelConstants.DNET_SUBJECT_TYPOLOGIES
+        )
         val di = DoiBoostMappingUtil.generateDataInfo(s.Score.toString)
         var resList: List[StructuredProperty] = List(s1)
         if (s.MainType.isDefined) {
           val maintp = s.MainType.get
-          val s2 = createSP(s.MainType.get, classid,className, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES)
+          val s2 = createSP(
+            s.MainType.get,
+            classid,
+            className,
+            ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+            ModelConstants.DNET_SUBJECT_TYPOLOGIES
+          )
           s2.setDataInfo(di)
           resList = resList ::: List(s2)
           if (maintp.contains(".")) {
-            val s3 = createSP(maintp.split("\\.").head, classid,className, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES)
+            val s3 = createSP(
+              maintp.split("\\.").head,
+              classid,
+              className,
+              ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+              ModelConstants.DNET_SUBJECT_TYPOLOGIES
+            )
             s3.setDataInfo(di)
             resList = resList ::: List(s3)
           }
@@ -156,25 +250,27 @@ case object ConversionUtil {
     publication
   }
 
-
-
   def addInstances(a: (Publication, MagUrl)): Publication = {
     val pub = a._1
     val urls = a._2
 
-
-
     val i = new Instance
 
+    if (urls != null) {
 
-    if (urls!= null) {
+      val l: List[String] = urls.instances
-
+        .filter(k => k.SourceUrl.nonEmpty)
-      val l:List[String] = urls.instances.filter(k=>k.SourceUrl.nonEmpty).map(k=>k.SourceUrl):::List(s"https://academic.microsoft.com/#/detail/${extractMagIdentifier(pub.getOriginalId.asScala)}")
+        .map(k => k.SourceUrl) ::: List(
+        s"https://academic.microsoft.com/#/detail/${extractMagIdentifier(pub.getOriginalId.asScala)}"
+      )
 
       i.setUrl(l.asJava)
-    }
+    } else
-    else
+      i.setUrl(
-      i.setUrl(List(s"https://academic.microsoft.com/#/detail/${extractMagIdentifier(pub.getOriginalId.asScala)}").asJava)
+        List(
+          s"https://academic.microsoft.com/#/detail/${extractMagIdentifier(pub.getOriginalId.asScala)}"
+        ).asJava
+      )
 
     // Ticket #6281 added pid to Instance
     i.setPid(pub.getPid)
@@ -184,13 +280,13 @@ case object ConversionUtil {
     pub
   }
 
-
   def transformPaperAbstract(input: MagPaperAbstract): MagPaperAbstract = {
     MagPaperAbstract(input.PaperId, convertInvertedIndexString(input.IndexedAbstract))
   }
 
-
+  def createOAFFromJournalAuthorPaper(
-  def createOAFFromJournalAuthorPaper(inputParams: ((MagPapers, MagJournal), MagPaperWithAuthorList)): Publication = {
+    inputParams: ((MagPapers, MagJournal), MagPaperWithAuthorList)
+  ): Publication = {
     val paper = inputParams._1._1
     val journal = inputParams._1._2
     val authors = inputParams._2
@@ -206,31 +302,37 @@ case object ConversionUtil {
     pub.setId(IdentifierFactory.createDOIBoostIdentifier(pub))
 
     val mainTitles = createSP(paper.PaperTitle, "main title", ModelConstants.DNET_DATACITE_TITLE)
-    val originalTitles = createSP(paper.OriginalTitle, "alternative title", ModelConstants.DNET_DATACITE_TITLE)
+    val originalTitles =
+      createSP(paper.OriginalTitle, "alternative title", ModelConstants.DNET_DATACITE_TITLE)
     pub.setTitle(List(mainTitles, originalTitles).asJava)
 
     pub.setSource(List(asField(paper.BookTitle)).asJava)
 
     val authorsOAF = authors.authors.map { f: MagAuthorAffiliation =>
-
       val a: eu.dnetlib.dhp.schema.oaf.Author = new eu.dnetlib.dhp.schema.oaf.Author
       a.setRank(f.sequenceNumber)
       if (f.author.DisplayName.isDefined)
         a.setFullname(f.author.DisplayName.get)
-      if(f.affiliation!= null)
+      if (f.affiliation != null)
         a.setAffiliation(List(asField(f.affiliation)).asJava)
-      a.setPid(List(createSP(s"https://academic.microsoft.com/#/detail/${f.author.AuthorId}", "URL", ModelConstants.DNET_PID_TYPES)).asJava)
+      a.setPid(
+        List(
+          createSP(
+            s"https://academic.microsoft.com/#/detail/${f.author.AuthorId}",
+            "URL",
+            ModelConstants.DNET_PID_TYPES
+          )
+        ).asJava
+      )
       a
     }
     pub.setAuthor(authorsOAF.asJava)
 
-
     if (paper.Date != null && paper.Date.isDefined) {
-      pub.setDateofacceptance(asField(paper.Date.get.toString.substring(0,10)))
+      pub.setDateofacceptance(asField(paper.Date.get.toString.substring(0, 10)))
     }
     pub.setPublisher(asField(paper.Publisher))
 
-
     if (journal != null && journal.DisplayName.isDefined) {
       val j = new Journal
 
@@ -250,8 +352,9 @@ case object ConversionUtil {
     pub
   }
 
-
+  def createOAF(
-  def createOAF(inputParams: ((MagPapers, MagPaperWithAuthorList), MagPaperAbstract)): Publication = {
+    inputParams: ((MagPapers, MagPaperWithAuthorList), MagPaperAbstract)
+  ): Publication = {
 
     val paper = inputParams._1._1
     val authors = inputParams._1._2
@@ -268,46 +371,48 @@ case object ConversionUtil {
     pub.setId(IdentifierFactory.createDOIBoostIdentifier(pub))
 
     val mainTitles = createSP(paper.PaperTitle, "main title", ModelConstants.DNET_DATACITE_TITLE)
-    val originalTitles = createSP(paper.OriginalTitle, "alternative title", ModelConstants.DNET_DATACITE_TITLE)
+    val originalTitles =
+      createSP(paper.OriginalTitle, "alternative title", ModelConstants.DNET_DATACITE_TITLE)
     pub.setTitle(List(mainTitles, originalTitles).asJava)
 
     pub.setSource(List(asField(paper.BookTitle)).asJava)
 
-
     if (description != null) {
       pub.setDescription(List(asField(description.IndexedAbstract)).asJava)
     }
 
-
     val authorsOAF = authors.authors.map { f: MagAuthorAffiliation =>
-
       val a: eu.dnetlib.dhp.schema.oaf.Author = new eu.dnetlib.dhp.schema.oaf.Author
 
       a.setFullname(f.author.DisplayName.get)
 
-      if(f.affiliation!= null)
+      if (f.affiliation != null)
         a.setAffiliation(List(asField(f.affiliation)).asJava)
 
-
+      a.setPid(
-      a.setPid(List(createSP(s"https://academic.microsoft.com/#/detail/${f.author.AuthorId}", "URL", ModelConstants.DNET_PID_TYPES)).asJava)
+        List(
+          createSP(
+            s"https://academic.microsoft.com/#/detail/${f.author.AuthorId}",
+            "URL",
+            ModelConstants.DNET_PID_TYPES
+          )
+        ).asJava
+      )
 
       a
 
     }
 
-
     if (paper.Date != null) {
-      pub.setDateofacceptance(asField(paper.Date.toString.substring(0,10)))
+      pub.setDateofacceptance(asField(paper.Date.toString.substring(0, 10)))
     }
 
     pub.setAuthor(authorsOAF.asJava)
 
-
     pub
 
   }
 
-
   def convertInvertedIndexString(json_input: String): String = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(json_input)
@@ -317,13 +422,13 @@ case object ConversionUtil {
 
       val iid = (json \ "InvertedIndex").extract[Map[String, List[Int]]]
 
-      for {(k: String, v: List[Int]) <- iid} {
+      for { (k: String, v: List[Int]) <- iid } {
         v.foreach(item => res(item) = k)
       }
-     (0 until idl).foreach(i => {
+      (0 until idl).foreach(i => {
-       if (res(i) == null)
+        if (res(i) == null)
-         res(i) = ""
+          res(i) = ""
-     })
+      })
       return res.mkString(" ")
     }
     ""

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/SparkImportMagIntoDataset.scala

@@ -8,44 +8,245 @@ import org.apache.spark.sql.{SaveMode, SparkSession}
 import org.slf4j.{Logger, LoggerFactory}
 
 object SparkImportMagIntoDataset {
+
   val datatypedict = Map(
-    "bool" -> BooleanType,
+    "bool"     -> BooleanType,
-    "int" -> IntegerType,
+    "int"      -> IntegerType,
-    "uint" -> IntegerType,
+    "uint"     -> IntegerType,
-    "long" -> LongType,
+    "long"     -> LongType,
-    "ulong" -> LongType,
+    "ulong"    -> LongType,
-    "float" -> FloatType,
+    "float"    -> FloatType,
-    "string" -> StringType,
+    "string"   -> StringType,
     "DateTime" -> DateType
   )
 
-
   val stream = Map(
-    "Affiliations" -> Tuple2("mag/Affiliations.txt", Seq("AffiliationId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "GridId:string", "OfficialPage:string", "WikiPage:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "Iso3166Code:string", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")),
+    "Affiliations" -> Tuple2(
-    "AuthorExtendedAttributes" -> Tuple2("mag/AuthorExtendedAttributes.txt", Seq("AuthorId:long", "AttributeType:int", "AttributeValue:string")),
+      "mag/Affiliations.txt",
-    "Authors" -> Tuple2("mag/Authors.txt", Seq("AuthorId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "LastKnownAffiliationId:long?", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")),
+      Seq(
-    "ConferenceInstances" -> Tuple2("mag/ConferenceInstances.txt", Seq("ConferenceInstanceId:long", "NormalizedName:string", "DisplayName:string", "ConferenceSeriesId:long", "Location:string", "OfficialUrl:string", "StartDate:DateTime?", "EndDate:DateTime?", "AbstractRegistrationDate:DateTime?", "SubmissionDeadlineDate:DateTime?", "NotificationDueDate:DateTime?", "FinalVersionDueDate:DateTime?", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")),
+        "AffiliationId:long",
-    "ConferenceSeries" -> Tuple2("mag/ConferenceSeries.txt", Seq("ConferenceSeriesId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")),
+        "Rank:uint",
-    "EntityRelatedEntities" -> Tuple2("advanced/EntityRelatedEntities.txt", Seq("EntityId:long", "EntityType:string", "RelatedEntityId:long", "RelatedEntityType:string", "RelatedType:int", "Score:float")),
+        "NormalizedName:string",
-    "FieldOfStudyChildren" -> Tuple2("advanced/FieldOfStudyChildren.txt", Seq("FieldOfStudyId:long", "ChildFieldOfStudyId:long")),
+        "DisplayName:string",
-    "FieldOfStudyExtendedAttributes" -> Tuple2("advanced/FieldOfStudyExtendedAttributes.txt", Seq("FieldOfStudyId:long", "AttributeType:int", "AttributeValue:string")),
+        "GridId:string",
-    "FieldsOfStudy" -> Tuple2("advanced/FieldsOfStudy.txt", Seq("FieldOfStudyId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "MainType:string", "Level:int", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")),
+        "OfficialPage:string",
-    "Journals" -> Tuple2("mag/Journals.txt", Seq("JournalId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "Issn:string", "Publisher:string", "Webpage:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")),
+        "WikiPage:string",
-    "PaperAbstractsInvertedIndex" -> Tuple2("nlp/PaperAbstractsInvertedIndex.txt.*", Seq("PaperId:long", "IndexedAbstract:string")),
+        "PaperCount:long",
-    "PaperAuthorAffiliations" -> Tuple2("mag/PaperAuthorAffiliations.txt", Seq("PaperId:long", "AuthorId:long", "AffiliationId:long?", "AuthorSequenceNumber:uint", "OriginalAuthor:string", "OriginalAffiliation:string")),
+        "PaperFamilyCount:long",
-    "PaperCitationContexts" -> Tuple2("nlp/PaperCitationContexts.txt", Seq("PaperId:long", "PaperReferenceId:long", "CitationContext:string")),
+        "CitationCount:long",
-    "PaperExtendedAttributes" -> Tuple2("mag/PaperExtendedAttributes.txt", Seq("PaperId:long", "AttributeType:int", "AttributeValue:string")),
+        "Iso3166Code:string",
-    "PaperFieldsOfStudy" -> Tuple2("advanced/PaperFieldsOfStudy.txt", Seq("PaperId:long", "FieldOfStudyId:long", "Score:float")),
+        "Latitude:float?",
-    "PaperMeSH" -> Tuple2("advanced/PaperMeSH.txt", Seq("PaperId:long", "DescriptorUI:string", "DescriptorName:string", "QualifierUI:string", "QualifierName:string", "IsMajorTopic:bool")),
+        "Longitude:float?",
-    "PaperRecommendations" -> Tuple2("advanced/PaperRecommendations.txt", Seq("PaperId:long", "RecommendedPaperId:long", "Score:float")),
+        "CreatedDate:DateTime"
-    "PaperReferences" -> Tuple2("mag/PaperReferences.txt", Seq("PaperId:long", "PaperReferenceId:long")),
+      )
-    "PaperResources" -> Tuple2("mag/PaperResources.txt", Seq("PaperId:long", "ResourceType:int", "ResourceUrl:string", "SourceUrl:string", "RelationshipType:int")),
+    ),
-    "PaperUrls" -> Tuple2("mag/PaperUrls.txt", Seq("PaperId:long", "SourceType:int?", "SourceUrl:string", "LanguageCode:string")),
+    "AuthorExtendedAttributes" -> Tuple2(
-    "Papers" -> Tuple2("mag/Papers.txt", Seq("PaperId:long", "Rank:uint", "Doi:string", "DocType:string", "PaperTitle:string", "OriginalTitle:string", "BookTitle:string", "Year:int?", "Date:DateTime?", "OnlineDate:DateTime?", "Publisher:string", "JournalId:long?", "ConferenceSeriesId:long?", "ConferenceInstanceId:long?", "Volume:string", "Issue:string", "FirstPage:string", "LastPage:string", "ReferenceCount:long", "CitationCount:long", "EstimatedCitation:long", "OriginalVenue:string", "FamilyId:long?", "FamilyRank:uint?", "DocSubTypes:string", "CreatedDate:DateTime")),
+      "mag/AuthorExtendedAttributes.txt",
-    "RelatedFieldOfStudy" -> Tuple2("advanced/RelatedFieldOfStudy.txt", Seq("FieldOfStudyId1:long", "Type1:string", "FieldOfStudyId2:long", "Type2:string", "Rank:float"))
+      Seq("AuthorId:long", "AttributeType:int", "AttributeValue:string")
+    ),
+    "Authors" -> Tuple2(
+      "mag/Authors.txt",
+      Seq(
+        "AuthorId:long",
+        "Rank:uint",
+        "NormalizedName:string",
+        "DisplayName:string",
+        "LastKnownAffiliationId:long?",
+        "PaperCount:long",
+        "PaperFamilyCount:long",
+        "CitationCount:long",
+        "CreatedDate:DateTime"
+      )
+    ),
+    "ConferenceInstances" -> Tuple2(
+      "mag/ConferenceInstances.txt",
+      Seq(
+        "ConferenceInstanceId:long",
+        "NormalizedName:string",
+        "DisplayName:string",
+        "ConferenceSeriesId:long",
+        "Location:string",
+        "OfficialUrl:string",
+        "StartDate:DateTime?",
+        "EndDate:DateTime?",
+        "AbstractRegistrationDate:DateTime?",
+        "SubmissionDeadlineDate:DateTime?",
+        "NotificationDueDate:DateTime?",
+        "FinalVersionDueDate:DateTime?",
+        "PaperCount:long",
+        "PaperFamilyCount:long",
+        "CitationCount:long",
+        "Latitude:float?",
+        "Longitude:float?",
+        "CreatedDate:DateTime"
+      )
+    ),
+    "ConferenceSeries" -> Tuple2(
+      "mag/ConferenceSeries.txt",
+      Seq(
+        "ConferenceSeriesId:long",
+        "Rank:uint",
+        "NormalizedName:string",
+        "DisplayName:string",
+        "PaperCount:long",
+        "PaperFamilyCount:long",
+        "CitationCount:long",
+        "CreatedDate:DateTime"
+      )
+    ),
+    "EntityRelatedEntities" -> Tuple2(
+      "advanced/EntityRelatedEntities.txt",
+      Seq(
+        "EntityId:long",
+        "EntityType:string",
+        "RelatedEntityId:long",
+        "RelatedEntityType:string",
+        "RelatedType:int",
+        "Score:float"
+      )
+    ),
+    "FieldOfStudyChildren" -> Tuple2(
+      "advanced/FieldOfStudyChildren.txt",
+      Seq("FieldOfStudyId:long", "ChildFieldOfStudyId:long")
+    ),
+    "FieldOfStudyExtendedAttributes" -> Tuple2(
+      "advanced/FieldOfStudyExtendedAttributes.txt",
+      Seq("FieldOfStudyId:long", "AttributeType:int", "AttributeValue:string")
+    ),
+    "FieldsOfStudy" -> Tuple2(
+      "advanced/FieldsOfStudy.txt",
+      Seq(
+        "FieldOfStudyId:long",
+        "Rank:uint",
+        "NormalizedName:string",
+        "DisplayName:string",
+        "MainType:string",
+        "Level:int",
+        "PaperCount:long",
+        "PaperFamilyCount:long",
+        "CitationCount:long",
+        "CreatedDate:DateTime"
+      )
+    ),
+    "Journals" -> Tuple2(
+      "mag/Journals.txt",
+      Seq(
+        "JournalId:long",
+        "Rank:uint",
+        "NormalizedName:string",
+        "DisplayName:string",
+        "Issn:string",
+        "Publisher:string",
+        "Webpage:string",
+        "PaperCount:long",
+        "PaperFamilyCount:long",
+        "CitationCount:long",
+        "CreatedDate:DateTime"
+      )
+    ),
+    "PaperAbstractsInvertedIndex" -> Tuple2(
+      "nlp/PaperAbstractsInvertedIndex.txt.*",
+      Seq("PaperId:long", "IndexedAbstract:string")
+    ),
+    "PaperAuthorAffiliations" -> Tuple2(
+      "mag/PaperAuthorAffiliations.txt",
+      Seq(
+        "PaperId:long",
+        "AuthorId:long",
+        "AffiliationId:long?",
+        "AuthorSequenceNumber:uint",
+        "OriginalAuthor:string",
+        "OriginalAffiliation:string"
+      )
+    ),
+    "PaperCitationContexts" -> Tuple2(
+      "nlp/PaperCitationContexts.txt",
+      Seq("PaperId:long", "PaperReferenceId:long", "CitationContext:string")
+    ),
+    "PaperExtendedAttributes" -> Tuple2(
+      "mag/PaperExtendedAttributes.txt",
+      Seq("PaperId:long", "AttributeType:int", "AttributeValue:string")
+    ),
+    "PaperFieldsOfStudy" -> Tuple2(
+      "advanced/PaperFieldsOfStudy.txt",
+      Seq("PaperId:long", "FieldOfStudyId:long", "Score:float")
+    ),
+    "PaperMeSH" -> Tuple2(
+      "advanced/PaperMeSH.txt",
+      Seq(
+        "PaperId:long",
+        "DescriptorUI:string",
+        "DescriptorName:string",
+        "QualifierUI:string",
+        "QualifierName:string",
+        "IsMajorTopic:bool"
+      )
+    ),
+    "PaperRecommendations" -> Tuple2(
+      "advanced/PaperRecommendations.txt",
+      Seq("PaperId:long", "RecommendedPaperId:long", "Score:float")
+    ),
+    "PaperReferences" -> Tuple2(
+      "mag/PaperReferences.txt",
+      Seq("PaperId:long", "PaperReferenceId:long")
+    ),
+    "PaperResources" -> Tuple2(
+      "mag/PaperResources.txt",
+      Seq(
+        "PaperId:long",
+        "ResourceType:int",
+        "ResourceUrl:string",
+        "SourceUrl:string",
+        "RelationshipType:int"
+      )
+    ),
+    "PaperUrls" -> Tuple2(
+      "mag/PaperUrls.txt",
+      Seq("PaperId:long", "SourceType:int?", "SourceUrl:string", "LanguageCode:string")
+    ),
+    "Papers" -> Tuple2(
+      "mag/Papers.txt",
+      Seq(
+        "PaperId:long",
+        "Rank:uint",
+        "Doi:string",
+        "DocType:string",
+        "PaperTitle:string",
+        "OriginalTitle:string",
+        "BookTitle:string",
+        "Year:int?",
+        "Date:DateTime?",
+        "OnlineDate:DateTime?",
+        "Publisher:string",
+        "JournalId:long?",
+        "ConferenceSeriesId:long?",
+        "ConferenceInstanceId:long?",
+        "Volume:string",
+        "Issue:string",
+        "FirstPage:string",
+        "LastPage:string",
+        "ReferenceCount:long",
+        "CitationCount:long",
+        "EstimatedCitation:long",
+        "OriginalVenue:string",
+        "FamilyId:long?",
+        "FamilyRank:uint?",
+        "DocSubTypes:string",
+        "CreatedDate:DateTime"
+      )
+    ),
+    "RelatedFieldOfStudy" -> Tuple2(
+      "advanced/RelatedFieldOfStudy.txt",
+      Seq(
+        "FieldOfStudyId1:long",
+        "Type1:string",
+        "FieldOfStudyId2:long",
+        "Type2:string",
+        "Rank:float"
+      )
+    )
   )
 
-
   def getSchema(streamName: String): StructType = {
     var schema = new StructType()
     val d: Seq[String] = stream(streamName)._2
@@ -61,19 +262,22 @@ object SparkImportMagIntoDataset {
     schema
   }
 
-
   def main(args: Array[String]): Unit = {
     val logger: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/mag/convert_mag_to_oaf_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/mag/convert_mag_to_oaf_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     stream.foreach { case (k, v) =>
       val s: StructType = getSchema(k)

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala

@@ -9,6 +9,7 @@ import org.apache.spark.sql.functions.{col, collect_list, struct}
 import org.apache.spark.sql._
 import org.slf4j.{Logger, LoggerFactory}
 import scala.collection.JavaConverters._
+
 object SparkProcessMAG {
 
   def getDistinctResults(d: Dataset[MagPapers]): Dataset[MagPapers] = {
@@ -17,13 +18,31 @@ object SparkProcessMAG {
       .reduceGroups((p1: MagPapers, p2: MagPapers) => ConversionUtil.choiceLatestMagArtitcle(p1, p2))
       .map(_._2)(Encoders.product[MagPapers])
       .map(mp => {
-        MagPapers(mp.PaperId, mp.Rank, DoiBoostMappingUtil.normalizeDoi(mp.Doi),
+        MagPapers(
-          mp.DocType, mp.PaperTitle, mp.OriginalTitle,
+          mp.PaperId,
-          mp.BookTitle, mp.Year, mp.Date, mp.Publisher: String,
+          mp.Rank,
-          mp.JournalId, mp.ConferenceSeriesId, mp.ConferenceInstanceId,
+          DoiBoostMappingUtil.normalizeDoi(mp.Doi),
-          mp.Volume, mp.Issue, mp.FirstPage, mp.LastPage,
+          mp.DocType,
-          mp.ReferenceCount, mp.CitationCount, mp.EstimatedCitation,
+          mp.PaperTitle,
-          mp.OriginalVenue, mp.FamilyId, mp.CreatedDate)
+          mp.OriginalTitle,
+          mp.BookTitle,
+          mp.Year,
+          mp.Date,
+          mp.Publisher: String,
+          mp.JournalId,
+          mp.ConferenceSeriesId,
+          mp.ConferenceInstanceId,
+          mp.Volume,
+          mp.Issue,
+          mp.FirstPage,
+          mp.LastPage,
+          mp.ReferenceCount,
+          mp.CitationCount,
+          mp.EstimatedCitation,
+          mp.OriginalVenue,
+          mp.FamilyId,
+          mp.CreatedDate
+        )
       })(Encoders.product[MagPapers])
   }
 
@@ -31,22 +50,29 @@ object SparkProcessMAG {
 
     val logger: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/mag/preprocess_mag_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/mag/preprocess_mag_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val sourcePath = parser.get("sourcePath")
     val workingPath = parser.get("workingPath")
     val targetPath = parser.get("targetPath")
 
     import spark.implicits._
-    implicit val mapEncoderPubs: Encoder[Publication] = org.apache.spark.sql.Encoders.kryo[Publication]
+    implicit val mapEncoderPubs: Encoder[Publication] =
-    implicit val tupleForJoinEncoder: Encoder[(String, Publication)] = Encoders.tuple(Encoders.STRING, mapEncoderPubs)
+      org.apache.spark.sql.Encoders.kryo[Publication]
+    implicit val tupleForJoinEncoder: Encoder[(String, Publication)] =
+      Encoders.tuple(Encoders.STRING, mapEncoderPubs)
 
     logger.info("Phase 1) make uninue DOI in Papers:")
     val d: Dataset[MagPapers] = spark.read.load(s"$sourcePath/Papers").as[MagPapers]
@@ -58,16 +84,23 @@ object SparkProcessMAG {
 
     logger.info("Phase 0) Enrich Publication with description")
     val pa = spark.read.load(s"$sourcePath/PaperAbstractsInvertedIndex").as[MagPaperAbstract]
-    pa.map(ConversionUtil.transformPaperAbstract).write.mode(SaveMode.Overwrite).save(s"$workingPath/PaperAbstract")
+    pa.map(ConversionUtil.transformPaperAbstract)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/PaperAbstract")
 
     logger.info("Phase 3) Group Author by PaperId")
     val authors = spark.read.load(s"$sourcePath/Authors").as[MagAuthor]
 
     val affiliation = spark.read.load(s"$sourcePath/Affiliations").as[MagAffiliation]
-    val paperAuthorAffiliation = spark.read.load(s"$sourcePath/PaperAuthorAffiliations").as[MagPaperAuthorAffiliation]
+    val paperAuthorAffiliation =
+      spark.read.load(s"$sourcePath/PaperAuthorAffiliations").as[MagPaperAuthorAffiliation]
 
-    paperAuthorAffiliation.joinWith(authors, paperAuthorAffiliation("AuthorId").equalTo(authors("AuthorId")))
+    paperAuthorAffiliation
-      .map { case (a: MagPaperAuthorAffiliation, b: MagAuthor) => (a.AffiliationId, MagPaperAuthorDenormalized(a.PaperId, b, null, a.AuthorSequenceNumber)) }
+      .joinWith(authors, paperAuthorAffiliation("AuthorId").equalTo(authors("AuthorId")))
+      .map { case (a: MagPaperAuthorAffiliation, b: MagAuthor) =>
+        (a.AffiliationId, MagPaperAuthorDenormalized(a.PaperId, b, null, a.AuthorSequenceNumber))
+      }
       .joinWith(affiliation, affiliation("AffiliationId").equalTo(col("_1")), "left")
       .map(s => {
         val mpa = s._1._2
@@ -76,79 +109,133 @@ object SparkProcessMAG {
           MagPaperAuthorDenormalized(mpa.PaperId, mpa.author, af.DisplayName, mpa.sequenceNumber)
         } else
           mpa
-      }).groupBy("PaperId").agg(collect_list(struct($"author", $"affiliation", $"sequenceNumber")).as("authors"))
+      })
-      .write.mode(SaveMode.Overwrite).save(s"$workingPath/merge_step_1_paper_authors")
+      .groupBy("PaperId")
+      .agg(collect_list(struct($"author", $"affiliation", $"sequenceNumber")).as("authors"))
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/merge_step_1_paper_authors")
 
-    logger.info("Phase 4) create First Version of publication Entity with Paper Journal and Authors")
+    logger.info(
+      "Phase 4) create First Version of publication Entity with Paper Journal and Authors"
+    )
 
     val journals = spark.read.load(s"$sourcePath/Journals").as[MagJournal]
 
-    val papers = spark.read.load((s"$workingPath/Papers_distinct")).as[MagPapers]
+    val papers = spark.read.load(s"$workingPath/Papers_distinct").as[MagPapers]
 
-    val paperWithAuthors = spark.read.load(s"$workingPath/merge_step_1_paper_authors").as[MagPaperWithAuthorList]
+    val paperWithAuthors =
+      spark.read.load(s"$workingPath/merge_step_1_paper_authors").as[MagPaperWithAuthorList]
 
-    val firstJoin = papers.joinWith(journals, papers("JournalId").equalTo(journals("JournalId")), "left")
+    val firstJoin =
-    firstJoin.joinWith(paperWithAuthors, firstJoin("_1.PaperId").equalTo(paperWithAuthors("PaperId")), "left")
+      papers.joinWith(journals, papers("JournalId").equalTo(journals("JournalId")), "left")
+    firstJoin
+      .joinWith(
+        paperWithAuthors,
+        firstJoin("_1.PaperId").equalTo(paperWithAuthors("PaperId")),
+        "left"
+      )
       .map { a => ConversionUtil.createOAFFromJournalAuthorPaper(a) }
-      .write.mode(SaveMode.Overwrite).save(s"$workingPath/merge_step_2")
+      .write
-
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/merge_step_2")
 
     var magPubs: Dataset[(String, Publication)] =
-      spark.read.load(s"$workingPath/merge_step_2").as[Publication]
+      spark.read
-        .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
+        .load(s"$workingPath/merge_step_2")
+        .as[Publication]
+        .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))
+        .as[(String, Publication)]
 
+    val conference = spark.read
+      .load(s"$sourcePath/ConferenceInstances")
+      .select(
+        $"ConferenceInstanceId".as("ci"),
+        $"DisplayName",
+        $"Location",
+        $"StartDate",
+        $"EndDate"
+      )
+    val conferenceInstance = conference
+      .joinWith(papers, papers("ConferenceInstanceId").equalTo(conference("ci")))
+      .select(
+        $"_1.ci",
+        $"_1.DisplayName",
+        $"_1.Location",
+        $"_1.StartDate",
+        $"_1.EndDate",
+        $"_2.PaperId"
+      )
+      .as[MagConferenceInstance]
 
-    val conference = spark.read.load(s"$sourcePath/ConferenceInstances")
+    magPubs
-      .select($"ConferenceInstanceId".as("ci"), $"DisplayName", $"Location", $"StartDate", $"EndDate")
+      .joinWith(conferenceInstance, col("_1").equalTo(conferenceInstance("PaperId")), "left")
-    val conferenceInstance = conference.joinWith(papers, papers("ConferenceInstanceId").equalTo(conference("ci")))
-      .select($"_1.ci", $"_1.DisplayName", $"_1.Location", $"_1.StartDate", $"_1.EndDate", $"_2.PaperId").as[MagConferenceInstance]
-
-
-    magPubs.joinWith(conferenceInstance, col("_1").equalTo(conferenceInstance("PaperId")), "left")
       .map(item => ConversionUtil.updatePubsWithConferenceInfo(item))
       .write
       .mode(SaveMode.Overwrite)
       .save(s"$workingPath/merge_step_3")
 
+    val paperAbstract = spark.read.load(s"$workingPath/PaperAbstract").as[MagPaperAbstract]
 
-    val paperAbstract = spark.read.load((s"$workingPath/PaperAbstract")).as[MagPaperAbstract]
+    magPubs = spark.read
-
+      .load(s"$workingPath/merge_step_3")
-
+      .as[Publication]
-    magPubs = spark.read.load(s"$workingPath/merge_step_3").as[Publication]
+      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))
-      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
+      .as[(String, Publication)]
-
-    magPubs.joinWith(paperAbstract, col("_1").equalTo(paperAbstract("PaperId")), "left")
-      .map(item => ConversionUtil.updatePubsWithDescription(item)
-      ).write.mode(SaveMode.Overwrite).save(s"$workingPath/merge_step_4")
 
+    magPubs
+      .joinWith(paperAbstract, col("_1").equalTo(paperAbstract("PaperId")), "left")
+      .map(item => ConversionUtil.updatePubsWithDescription(item))
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/merge_step_4")
 
     logger.info("Phase 7) Enrich Publication with FieldOfStudy")
 
-    magPubs = spark.read.load(s"$workingPath/merge_step_4").as[Publication]
+    magPubs = spark.read
-      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
+      .load(s"$workingPath/merge_step_4")
+      .as[Publication]
+      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))
+      .as[(String, Publication)]
 
-    val fos = spark.read.load(s"$sourcePath/FieldsOfStudy").select($"FieldOfStudyId".alias("fos"), $"DisplayName", $"MainType")
+    val fos = spark.read
+      .load(s"$sourcePath/FieldsOfStudy")
+      .select($"FieldOfStudyId".alias("fos"), $"DisplayName", $"MainType")
 
     val pfos = spark.read.load(s"$sourcePath/PaperFieldsOfStudy")
 
-    val paperField = pfos.joinWith(fos, fos("fos").equalTo(pfos("FieldOfStudyId")))
+    val paperField = pfos
+      .joinWith(fos, fos("fos").equalTo(pfos("FieldOfStudyId")))
       .select($"_1.FieldOfStudyId", $"_2.DisplayName", $"_2.MainType", $"_1.PaperId", $"_1.Score")
-      .groupBy($"PaperId").agg(collect_list(struct($"FieldOfStudyId", $"DisplayName", $"MainType", $"Score")).as("subjects"))
+      .groupBy($"PaperId")
+      .agg(
+        collect_list(struct($"FieldOfStudyId", $"DisplayName", $"MainType", $"Score"))
+          .as("subjects")
+      )
       .as[MagFieldOfStudy]
 
-    magPubs.joinWith(paperField, col("_1")
+    magPubs
-      .equalTo(paperField("PaperId")), "left")
+      .joinWith(
+        paperField,
+        col("_1")
+          .equalTo(paperField("PaperId")),
+        "left"
+      )
       .map(item => ConversionUtil.updatePubsWithSubject(item))
-      .write.mode(SaveMode.Overwrite)
+      .write
+      .mode(SaveMode.Overwrite)
       .save(s"$workingPath/mag_publication")
 
-    spark.read.load(s"$workingPath/mag_publication").as[Publication]
+    spark.read
+      .load(s"$workingPath/mag_publication")
+      .as[Publication]
       .filter(p => p.getId != null)
       .groupByKey(p => p.getId)
       .reduceGroups((a: Publication, b: Publication) => ConversionUtil.mergePublication(a, b))
       .map(_._2)
-      .write.mode(SaveMode.Overwrite).save(s"$targetPath/magPublication")
+      .write
-
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/magPublication")
 
   }
 }

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala

@@ -15,15 +15,20 @@ import org.slf4j.{Logger, LoggerFactory}
 
 import scala.collection.JavaConverters._
 
+case class ORCIDItem(doi: String, authors: List[OrcidAuthor]) {}
 
-case class ORCIDItem(doi:String, authors:List[OrcidAuthor]){}
+case class OrcidAuthor(
-case class OrcidAuthor(oid:String, name:Option[String], surname:Option[String], creditName:Option[String], otherNames:Option[List[String]], errorCode:Option[String]){}
+  oid: String,
-case class OrcidWork(oid:String, doi:String)
+  name: Option[String],
+  surname: Option[String],
+  creditName: Option[String],
+  otherNames: Option[List[String]],
+  errorCode: Option[String]
+) {}
+case class OrcidWork(oid: String, doi: String)
 
+case class ORCIDElement(doi: String, authors: List[ORCIDItem]) {}
 
-
-
-case class ORCIDElement(doi:String, authors:List[ORCIDItem]) {}
 object ORCIDToOAF {
   val logger: Logger = LoggerFactory.getLogger(ORCIDToOAF.getClass)
   val mapper = new ObjectMapper()
@@ -41,7 +46,7 @@ object ORCIDToOAF {
 
   def extractValueFromInputString(input: String): (String, String) = {
     val i = input.indexOf('[')
-    if (i <5) {
+    if (i < 5) {
       return null
     }
     val orcidList = input.substring(i, input.length - 1)
@@ -51,17 +56,16 @@ object ORCIDToOAF {
     } else null
   }
 
-
+  def strValid(s: Option[String]): Boolean = {
-  def strValid(s:Option[String]) : Boolean = {
     s.isDefined && s.get.nonEmpty
   }
 
-  def authorValid(author:OrcidAuthor): Boolean ={
+  def authorValid(author: OrcidAuthor): Boolean = {
     if (strValid(author.name) && strValid(author.surname)) {
       return true
     }
     if (strValid(author.surname)) {
-      return  true
+      return true
     }
     if (strValid(author.creditName)) {
       return true
@@ -70,37 +74,35 @@ object ORCIDToOAF {
     false
   }
 
-
+  def extractDOIWorks(input: String): List[OrcidWork] = {
-  def extractDOIWorks(input:String): List[OrcidWork] = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(input)
 
-    val oid = (json \ "workDetail" \"oid").extractOrElse[String](null)
+    val oid = (json \ "workDetail" \ "oid").extractOrElse[String](null)
     if (oid == null)
       return List()
-    val doi:List[(String, String)] = for {
+    val doi: List[(String, String)] = for {
-      JObject(extIds) <-  json \ "workDetail" \"extIds"
+      JObject(extIds)                    <- json \ "workDetail" \ "extIds"
       JField("type", JString(typeValue)) <- extIds
-      JField("value", JString(value)) <- extIds
+      JField("value", JString(value))    <- extIds
       if "doi".equalsIgnoreCase(typeValue)
     } yield (typeValue, DoiBoostMappingUtil.normalizeDoi(value))
     if (doi.nonEmpty) {
-      return doi.map(l =>OrcidWork(oid, l._2))
+      return doi.map(l => OrcidWork(oid, l._2))
     }
     List()
   }
 
-  def convertORCIDAuthor(input:String): OrcidAuthor = {
+  def convertORCIDAuthor(input: String): OrcidAuthor = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(input)
 
-    (json \"authorData" ).extractOrElse[OrcidAuthor](null)
+    (json \ "authorData").extractOrElse[OrcidAuthor](null)
-   }
+  }
 
-
+  def convertTOOAF(input: ORCIDItem): Publication = {
-  def convertTOOAF(input:ORCIDItem) :Publication = {
     val doi = input.doi
-    val pub:Publication = new Publication
+    val pub: Publication = new Publication
     pub.setPid(List(createSP(doi, "doi", ModelConstants.DNET_PID_TYPES)).asJava)
     pub.setDataInfo(generateDataInfo())
 
@@ -108,9 +110,9 @@ object ORCIDToOAF {
     if (pub.getId == null)
       return null
 
-    try{
+    try {
 
-      val l:List[Author]= input.authors.map(a=> {
+      val l: List[Author] = input.authors.map(a => {
         generateAuthor(a)
       })(collection.breakOut)
 
@@ -125,30 +127,38 @@ object ORCIDToOAF {
     }
   }
 
-  def generateOricPIDDatainfo():DataInfo = {
+  def generateOricPIDDatainfo(): DataInfo = {
-    val di =DoiBoostMappingUtil.generateDataInfo("0.91")
+    val di = DoiBoostMappingUtil.generateDataInfo("0.91")
     di.getProvenanceaction.setClassid(ModelConstants.SYSIMPORT_CROSSWALK_ENTITYREGISTRY)
     di.getProvenanceaction.setClassname(ModelConstants.HARVESTED)
     di
   }
 
-  def generateAuthor(o : OrcidAuthor): Author = {
+  def generateAuthor(o: OrcidAuthor): Author = {
     val a = new Author
     if (strValid(o.name)) {
-    a.setName(o.name.get.capitalize)
+      a.setName(o.name.get.capitalize)
     }
     if (strValid(o.surname)) {
       a.setSurname(o.surname.get.capitalize)
     }
-    if(strValid(o.name) && strValid(o.surname))
+    if (strValid(o.name) && strValid(o.surname))
       a.setFullname(s"${o.name.get.capitalize} ${o.surname.get.capitalize}")
     else if (strValid(o.creditName))
       a.setFullname(o.creditName.get)
     if (StringUtils.isNotBlank(o.oid))
-      a.setPid(List(createSP(o.oid, ModelConstants.ORCID, ModelConstants.DNET_PID_TYPES, generateOricPIDDatainfo())).asJava)
+      a.setPid(
+        List(
+          createSP(
+            o.oid,
+            ModelConstants.ORCID,
+            ModelConstants.DNET_PID_TYPES,
+            generateOricPIDDatainfo()
+          )
+        ).asJava
+      )
 
     a
   }
 
-
+}
-}

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/SparkConvertORCIDToOAF.scala

@@ -10,11 +10,11 @@ import org.slf4j.{Logger, LoggerFactory}
 object SparkConvertORCIDToOAF {
   val logger: Logger = LoggerFactory.getLogger(SparkConvertORCIDToOAF.getClass)
 
-
   def run(spark: SparkSession, workingPath: String, targetPath: String): Unit = {
     implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
     import spark.implicits._
-    val dataset: Dataset[ORCIDItem] = spark.read.load(s"$workingPath/orcidworksWithAuthor").as[ORCIDItem]
+    val dataset: Dataset[ORCIDItem] =
+      spark.read.load(s"$workingPath/orcidworksWithAuthor").as[ORCIDItem]
 
     logger.info("Converting ORCID to OAF")
     dataset.map(o => ORCIDToOAF.convertTOOAF(o)).write.mode(SaveMode.Overwrite).save(targetPath)
@@ -22,15 +22,21 @@ object SparkConvertORCIDToOAF {
 
   def main(args: Array[String]): Unit = {
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkConvertORCIDToOAF.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/convert_orcid_to_oaf_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        SparkConvertORCIDToOAF.getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/doiboost/convert_orcid_to_oaf_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val workingPath = parser.get("workingPath")
     val targetPath = parser.get("targetPath")

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/SparkPreprocessORCID.scala

@@ -17,45 +17,72 @@ object SparkPreprocessORCID {
 
   }
 
-
   def run(spark: SparkSession, sourcePath: String, workingPath: String): Unit = {
     import spark.implicits._
     implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
 
-    val inputRDD: RDD[OrcidAuthor] = spark.sparkContext.textFile(s"$sourcePath/authors").map(s => ORCIDToOAF.convertORCIDAuthor(s)).filter(s => s != null).filter(s => ORCIDToOAF.authorValid(s))
+    val inputRDD: RDD[OrcidAuthor] = spark.sparkContext
+      .textFile(s"$sourcePath/authors")
+      .map(s => ORCIDToOAF.convertORCIDAuthor(s))
+      .filter(s => s != null)
+      .filter(s => ORCIDToOAF.authorValid(s))
 
-    spark.createDataset(inputRDD).as[OrcidAuthor].write.mode(SaveMode.Overwrite).save(s"$workingPath/author")
+    spark
+      .createDataset(inputRDD)
+      .as[OrcidAuthor]
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/author")
 
-    val res = spark.sparkContext.textFile(s"$sourcePath/works").flatMap(s => ORCIDToOAF.extractDOIWorks(s)).filter(s => s != null)
+    val res = spark.sparkContext
+      .textFile(s"$sourcePath/works")
+      .flatMap(s => ORCIDToOAF.extractDOIWorks(s))
+      .filter(s => s != null)
 
-    spark.createDataset(res).as[OrcidWork].write.mode(SaveMode.Overwrite).save(s"$workingPath/works")
+    spark
+      .createDataset(res)
+      .as[OrcidWork]
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/works")
 
     val authors: Dataset[OrcidAuthor] = spark.read.load(s"$workingPath/author").as[OrcidAuthor]
 
     val works: Dataset[OrcidWork] = spark.read.load(s"$workingPath/works").as[OrcidWork]
 
-    works.joinWith(authors, authors("oid").equalTo(works("oid")))
+    works
+      .joinWith(authors, authors("oid").equalTo(works("oid")))
       .map(i => {
         val doi = i._1.doi
         val author = i._2
         (doi, author)
-      }).groupBy(col("_1").alias("doi"))
+      })
-      .agg(collect_list(col("_2")).alias("authors")).as[ORCIDItem]
+      .groupBy(col("_1").alias("doi"))
+      .agg(collect_list(col("_2")).alias("authors"))
+      .as[ORCIDItem]
       .map(s => fixORCIDItem(s))
-      .write.mode(SaveMode.Overwrite).save(s"$workingPath/orcidworksWithAuthor")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/orcidworksWithAuthor")
   }
 
   def main(args: Array[String]): Unit = {
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkConvertORCIDToOAF.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/preprocess_orcid_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        SparkConvertORCIDToOAF.getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/doiboost/preprocess_orcid_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val sourcePath = parser.get("sourcePath")
     val workingPath = parser.get("workingPath")

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/uw/SparkMapUnpayWallToOAF.scala

@@ -13,28 +13,35 @@ object SparkMapUnpayWallToOAF {
 
   def main(args: Array[String]): Unit = {
 
-
     val logger: Logger = LoggerFactory.getLogger(SparkMapDumpIntoOAF.getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkMapDumpIntoOAF.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/convert_uw_to_oaf_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        SparkMapDumpIntoOAF.getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/doiboost/convert_uw_to_oaf_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
 
-
     val sourcePath = parser.get("sourcePath")
     val targetPath = parser.get("targetPath")
     val inputRDD: RDD[String] = spark.sparkContext.textFile(s"$sourcePath")
 
     logger.info("Converting UnpayWall to OAF")
 
-    val d: Dataset[Publication] = spark.createDataset(inputRDD.map(UnpayWallToOAF.convertToOAF).filter(p => p != null)).as[Publication]
+    val d: Dataset[Publication] = spark
+      .createDataset(inputRDD.map(UnpayWallToOAF.convertToOAF).filter(p => p != null))
+      .as[Publication]
     d.write.mode(SaveMode.Overwrite).save(targetPath)
   }
 

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/uw/UnpayWallToOAF.scala

@@ -12,33 +12,41 @@ import org.slf4j.{Logger, LoggerFactory}
 
 import scala.collection.JavaConverters._
 
-
+case class OALocation(
-
+  evidence: Option[String],
-case class OALocation(evidence:Option[String], host_type:Option[String], is_best:Option[Boolean], license: Option[String], pmh_id:Option[String], updated:Option[String],
+  host_type: Option[String],
-                      url:Option[String], url_for_landing_page:Option[String], url_for_pdf:Option[String], version:Option[String]) {}
+  is_best: Option[Boolean],
-
+  license: Option[String],
-
+  pmh_id: Option[String],
-
+  updated: Option[String],
+  url: Option[String],
+  url_for_landing_page: Option[String],
+  url_for_pdf: Option[String],
+  version: Option[String]
+) {}
 
 object UnpayWallToOAF {
   val logger: Logger = LoggerFactory.getLogger(getClass)
 
-
+  def get_unpaywall_color(input: String): Option[OpenAccessRoute] = {
-  def get_unpaywall_color(input:String):Option[OpenAccessRoute] = {
+    if (input == null || input.equalsIgnoreCase("close"))
-    if(input == null || input.equalsIgnoreCase("close"))
       return None
-    if(input.equalsIgnoreCase("green"))
+    if (input.equalsIgnoreCase("green"))
       return Some(OpenAccessRoute.green)
-    if(input.equalsIgnoreCase("bronze"))
+    if (input.equalsIgnoreCase("bronze"))
       return Some(OpenAccessRoute.bronze)
-    if(input.equalsIgnoreCase("hybrid"))
+    if (input.equalsIgnoreCase("hybrid"))
       return Some(OpenAccessRoute.hybrid)
     else
       return Some(OpenAccessRoute.gold)
 
   }
 
-  def get_color(is_oa:Boolean, location: OALocation, journal_is_oa:Boolean):Option[OpenAccessRoute] = {
+  def get_color(
+    is_oa: Boolean,
+    location: OALocation,
+    journal_is_oa: Boolean
+  ): Option[OpenAccessRoute] = {
     if (is_oa) {
       if (location.host_type.isDefined) {
         {
@@ -62,23 +70,22 @@ object UnpayWallToOAF {
     None
   }
 
-
+  def convertToOAF(input: String): Publication = {
-  def convertToOAF(input:String):Publication = {
     val pub = new Publication
 
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(input)
 
-    val doi = DoiBoostMappingUtil.normalizeDoi((json \"doi").extract[String])
+    val doi = DoiBoostMappingUtil.normalizeDoi((json \ "doi").extract[String])
 
-    if(doi == null)
+    if (doi == null)
       return null
 
-    val is_oa = (json\ "is_oa").extract[Boolean]
+    val is_oa = (json \ "is_oa").extract[Boolean]
 
-    val journal_is_oa= (json\ "journal_is_oa").extract[Boolean]
+    val journal_is_oa = (json \ "journal_is_oa").extract[Boolean]
 
-    val oaLocation:OALocation = (json \ "best_oa_location").extractOrElse[OALocation](null)
+    val oaLocation: OALocation = (json \ "best_oa_location").extractOrElse[OALocation](null)
 
     val colour = get_unpaywall_color((json \ "oa_status").extractOrElse[String](null))
 
@@ -88,9 +95,9 @@ object UnpayWallToOAF {
     if (!is_oa)
       return null
 
-    if(oaLocation== null || oaLocation.url.isEmpty)
+    if (oaLocation == null || oaLocation.url.isEmpty)
-      return  null
+      return null
-    val i :Instance= new Instance()
+    val i: Instance = new Instance()
 
     i.setCollectedfrom(createUnpayWallCollectedFrom())
 //    i.setAccessright(getOpenAccessQualifier())
@@ -122,7 +129,4 @@ object UnpayWallToOAF {
 
   }
 
-
-
-
 }

dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/DoiBoostHostedByMapTest.scala

@@ -6,15 +6,11 @@ import org.junit.jupiter.api.Test
 class DoiBoostHostedByMapTest {
 
   @Test
-  def idDSGeneration():Unit = {
+  def idDSGeneration(): Unit = {
-    val s ="doajarticles::0066-782X"
+    val s = "doajarticles::0066-782X"
-
-
 
     println(DoiBoostMappingUtil.generateDSId(s))
 
-
   }
 
-
 }

dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/NormalizeDoiTest.scala

@@ -6,41 +6,39 @@ import org.junit.jupiter.api.Test
 class NormalizeDOITest {
 
   @Test
-  def doiDSLowerCase():Unit = {
+  def doiDSLowerCase(): Unit = {
-    val doi ="10.1042/BCJ20160876"
+    val doi = "10.1042/BCJ20160876"
 
     assert(DoiBoostMappingUtil.normalizeDoi(doi).equals(doi.toLowerCase()))
 
   }
 
-
   @Test
-  def doiFiltered():Unit = {
+  def doiFiltered(): Unit = {
     val doi = "0.1042/BCJ20160876"
 
     assert(DoiBoostMappingUtil.normalizeDoi(doi) == null)
   }
 
   @Test
-  def doiFiltered2():Unit = {
+  def doiFiltered2(): Unit = {
     val doi = "https://doi.org/0.1042/BCJ20160876"
 
     assert(DoiBoostMappingUtil.normalizeDoi(doi) == null)
   }
 
-
   @Test
-  def doiCleaned():Unit = {
+  def doiCleaned(): Unit = {
     val doi = "https://doi.org/10.1042/BCJ20160876"
 
     assert(DoiBoostMappingUtil.normalizeDoi(doi).equals("10.1042/BCJ20160876".toLowerCase()))
   }
 
   @Test
-  def doiCleaned1():Unit = {
+  def doiCleaned1(): Unit = {
     val doi = "https://doi.org/10.1042/ BCJ20160876"
 
     assert(DoiBoostMappingUtil.normalizeDoi(doi).equals("10.1042/BCJ20160876".toLowerCase()))
   }
 
-}
+}

dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/crossref/CrossrefMappingTest.scala

@@ -12,20 +12,24 @@ import scala.collection.JavaConverters._
 import scala.io.Source
 import scala.util.matching.Regex
 
-
 class CrossrefMappingTest {
 
   val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
   val mapper = new ObjectMapper()
 
-
-
   @Test
   def testFunderRelationshipsMapping(): Unit = {
-    val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_funder_template.json")).mkString
+    val template = Source
-    val funder_doi = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/funder_doi")).mkString
+      .fromInputStream(
-    val funder_name = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/funder_doi")).mkString
+        getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_funder_template.json")
-
+      )
+      .mkString
+    val funder_doi = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/funder_doi"))
+      .mkString
+    val funder_name = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/funder_doi"))
+      .mkString
 
     for (line <- funder_doi.lines) {
       val json = template.replace("%s", line)
@@ -43,7 +47,8 @@ class CrossrefMappingTest {
 
   def checkRelation(generatedOAF: List[Oaf]): Unit = {
 
-    val rels: List[Relation] = generatedOAF.filter(p => p.isInstanceOf[Relation]).asInstanceOf[List[Relation]]
+    val rels: List[Relation] =
+      generatedOAF.filter(p => p.isInstanceOf[Relation]).asInstanceOf[List[Relation]]
     assertFalse(rels.isEmpty)
     rels.foreach(relation => {
       val relJson = mapper.writeValueAsString(relation)
@@ -59,22 +64,22 @@ class CrossrefMappingTest {
 
   }
 
-
   @Test
-  def testSum() :Unit = {
+  def testSum(): Unit = {
-    val from:Long = 1613135645000L
+    val from: Long = 1613135645000L
-    val delta:Long = 1000000L
+    val delta: Long = 1000000L
-
-
-    println(s"updating from value: $from  -> ${from+delta}")
 
+    println(s"updating from value: $from  -> ${from + delta}")
 
   }
 
   @Test
-  def testOrcidID() :Unit = {
+  def testOrcidID(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/orcid_data.json")).mkString
+    val json = Source
-
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/orcid_data.json")
+      )
+      .mkString
 
     assertNotNull(json)
     assertFalse(json.isEmpty);
@@ -85,17 +90,18 @@ class CrossrefMappingTest {
 
     val items = resultList.filter(p => p.isInstanceOf[Result])
 
-
     mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
     items.foreach(p => println(mapper.writeValueAsString(p)))
 
-
   }
 
   @Test
-  def testEmptyTitle() :Unit = {
+  def testEmptyTitle(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/empty_title.json")).mkString
+    val json = Source
-
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/empty_title.json")
+      )
+      .mkString
 
     assertNotNull(json)
     assertFalse(json.isEmpty);
@@ -106,17 +112,16 @@ class CrossrefMappingTest {
 
     val items = resultList.filter(p => p.isInstanceOf[Result])
 
-
     mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
     items.foreach(p => println(mapper.writeValueAsString(p)))
 
-
   }
 
-
   @Test
   def testPeerReviewed(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/prwTest.json")).mkString
+    val json = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/prwTest.json"))
+      .mkString
     mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
 
     assertNotNull(json)
@@ -128,12 +133,8 @@ class CrossrefMappingTest {
 
     val items = resultList.filter(p => p.isInstanceOf[Result])
 
-
     items.foreach(p => logger.info(mapper.writeValueAsString(p)))
 
-
-
-
   }
 
   def extractECAward(award: String): String = {
@@ -143,21 +144,21 @@ class CrossrefMappingTest {
     null
   }
 
-
   @Test
   def extractECTest(): Unit = {
-    val s =  "FP7/2007-2013"
+    val s = "FP7/2007-2013"
     val awardExtracted = extractECAward(s)
     println(awardExtracted)
 
     println(DHPUtils.md5(awardExtracted))
 
-
   }
 
   @Test
   def testJournalRelation(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/awardTest.json")).mkString
+    val json = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/awardTest.json"))
+      .mkString
     assertNotNull(json)
 
     assertFalse(json.isEmpty)
@@ -165,20 +166,19 @@ class CrossrefMappingTest {
     val resultList: List[Oaf] = Crossref2Oaf.convert(json)
 
     assertTrue(resultList.nonEmpty)
-    val rels:List[Relation] = resultList.filter(p => p.isInstanceOf[Relation]).map(r=> r.asInstanceOf[Relation])
+    val rels: List[Relation] =
-
+      resultList.filter(p => p.isInstanceOf[Relation]).map(r => r.asInstanceOf[Relation])
-
 
     rels.foreach(s => logger.info(s.getTarget))
-    assertEquals(rels.size, 6 )
+    assertEquals(rels.size, 6)
-
 
   }
 
-
   @Test
   def testConvertBookFromCrossRef2Oaf(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/book.json")).mkString
+    val json = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/book.json"))
+      .mkString
     assertNotNull(json)
 
     assertFalse(json.isEmpty);
@@ -199,42 +199,62 @@ class CrossrefMappingTest {
     assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
     assertNotNull(
       result.getDataInfo.getProvenanceaction,
-      "DataInfo/Provenance test not null Failed");
+      "DataInfo/Provenance test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
-      "DataInfo/Provenance/classId test not null Failed");
+      "DataInfo/Provenance/classId test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
-      "DataInfo/Provenance/className test not null Failed");
+      "DataInfo/Provenance/className test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
-      "DataInfo/Provenance/SchemeId test not null Failed");
+      "DataInfo/Provenance/SchemeId test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
-      "DataInfo/Provenance/SchemeName test not null Failed");
+      "DataInfo/Provenance/SchemeName test not null Failed"
+    );
 
     assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
     assertFalse(result.getCollectedfrom.isEmpty);
 
     val collectedFromList = result.getCollectedfrom.asScala
-    assert(collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")), "Wrong collected from assertion")
+    assert(
-
+      collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")),
-    assert(collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")), "Wrong collected from assertion")
+      "Wrong collected from assertion"
+    )
 
+    assert(
+      collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")),
+      "Wrong collected from assertion"
+    )
 
     val relevantDates = result.getRelevantdate.asScala
 
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")), "Missing relevant date of type created")
+    assert(
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-online")), "Missing relevant date of type published-online")
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")),
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-print")), "Missing relevant date of type published-print")
+      "Missing relevant date of type created"
+    )
+    assert(
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-online")),
+      "Missing relevant date of type published-online"
+    )
+    assert(
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-print")),
+      "Missing relevant date of type published-print"
+    )
     val rels = resultList.filter(p => p.isInstanceOf[Relation])
     assert(rels.isEmpty)
   }
 
-
   @Test
   def testConvertPreprintFromCrossRef2Oaf(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/preprint.json")).mkString
+    val json = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/preprint.json"))
+      .mkString
     assertNotNull(json)
 
     assertFalse(json.isEmpty);
@@ -255,44 +275,70 @@ class CrossrefMappingTest {
     assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
     assertNotNull(
       result.getDataInfo.getProvenanceaction,
-      "DataInfo/Provenance test not null Failed");
+      "DataInfo/Provenance test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
-      "DataInfo/Provenance/classId test not null Failed");
+      "DataInfo/Provenance/classId test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
-      "DataInfo/Provenance/className test not null Failed");
+      "DataInfo/Provenance/className test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
-      "DataInfo/Provenance/SchemeId test not null Failed");
+      "DataInfo/Provenance/SchemeId test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
-      "DataInfo/Provenance/SchemeName test not null Failed");
+      "DataInfo/Provenance/SchemeName test not null Failed"
+    );
 
     assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
     assertFalse(result.getCollectedfrom.isEmpty);
 
     val collectedFromList = result.getCollectedfrom.asScala
-    assert(collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")), "Wrong collected from assertion")
+    assert(
-
+      collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")),
-    assert(collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")), "Wrong collected from assertion")
+      "Wrong collected from assertion"
+    )
 
+    assert(
+      collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")),
+      "Wrong collected from assertion"
+    )
 
     val relevantDates = result.getRelevantdate.asScala
 
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")), "Missing relevant date of type created")
+    assert(
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("available")), "Missing relevant date of type available")
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")),
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("accepted")), "Missing relevant date of type accepted")
+      "Missing relevant date of type created"
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-online")), "Missing relevant date of type published-online")
+    )
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-print")), "Missing relevant date of type published-print")
+    assert(
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("available")),
+      "Missing relevant date of type available"
+    )
+    assert(
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("accepted")),
+      "Missing relevant date of type accepted"
+    )
+    assert(
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-online")),
+      "Missing relevant date of type published-online"
+    )
+    assert(
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-print")),
+      "Missing relevant date of type published-print"
+    )
     val rels = resultList.filter(p => p.isInstanceOf[Relation])
     assert(rels.isEmpty)
   }
 
-
   @Test
   def testConvertDatasetFromCrossRef2Oaf(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/dataset.json")).mkString
+    val json = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/dataset.json"))
+      .mkString
     assertNotNull(json)
 
     assertFalse(json.isEmpty);
@@ -313,19 +359,24 @@ class CrossrefMappingTest {
     assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
     assertNotNull(
       result.getDataInfo.getProvenanceaction,
-      "DataInfo/Provenance test not null Failed");
+      "DataInfo/Provenance test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
-      "DataInfo/Provenance/classId test not null Failed");
+      "DataInfo/Provenance/classId test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
-      "DataInfo/Provenance/className test not null Failed");
+      "DataInfo/Provenance/className test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
-      "DataInfo/Provenance/SchemeId test not null Failed");
+      "DataInfo/Provenance/SchemeId test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
-      "DataInfo/Provenance/SchemeName test not null Failed");
+      "DataInfo/Provenance/SchemeName test not null Failed"
+    );
 
     assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
     assertFalse(result.getCollectedfrom.isEmpty);
@@ -333,7 +384,9 @@ class CrossrefMappingTest {
 
   @Test
   def testConvertArticleFromCrossRef2Oaf(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json")).mkString
+    val json = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json"))
+      .mkString
     assertNotNull(json)
 
     assertFalse(json.isEmpty);
@@ -354,32 +407,45 @@ class CrossrefMappingTest {
     assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
     assertNotNull(
       result.getDataInfo.getProvenanceaction,
-      "DataInfo/Provenance test not null Failed");
+      "DataInfo/Provenance test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
-      "DataInfo/Provenance/classId test not null Failed");
+      "DataInfo/Provenance/classId test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
-      "DataInfo/Provenance/className test not null Failed");
+      "DataInfo/Provenance/className test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
-      "DataInfo/Provenance/SchemeId test not null Failed");
+      "DataInfo/Provenance/SchemeId test not null Failed"
+    );
     assertFalse(
       result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
-      "DataInfo/Provenance/SchemeName test not null Failed");
+      "DataInfo/Provenance/SchemeName test not null Failed"
+    );
 
     assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
     assertFalse(result.getCollectedfrom.isEmpty);
 
     val collectedFromList = result.getCollectedfrom.asScala
-    assert(collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")), "Wrong collected from assertion")
+    assert(
-
+      collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")),
-    assert(collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")), "Wrong collected from assertion")
+      "Wrong collected from assertion"
+    )
 
+    assert(
+      collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")),
+      "Wrong collected from assertion"
+    )
 
     val relevantDates = result.getRelevantdate.asScala
 
-    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")), "Missing relevant date of type created")
+    assert(
+      relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")),
+      "Missing relevant date of type created"
+    )
 
     val rels = resultList.filter(p => p.isInstanceOf[Relation]).asInstanceOf[List[Relation]]
     assertFalse(rels.isEmpty)
@@ -393,15 +459,14 @@ class CrossrefMappingTest {
 
     })
 
-
   }
 
-
-
   @Test
   def testSetDateOfAcceptanceCrossRef2Oaf(): Unit = {
 
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/dump_file.json")).mkString
+    val json = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/dump_file.json"))
+      .mkString
     assertNotNull(json)
 
     assertFalse(json.isEmpty);
@@ -421,8 +486,13 @@ class CrossrefMappingTest {
 
   @Test
   def testNormalizeDOI(): Unit = {
-    val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_funder_template.json")).mkString
+    val template = Source
-    val line :String = "\"funder\": [{\"name\": \"Wellcome Trust Masters Fellowship\",\"award\": [\"090633\"]}],"
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_funder_template.json")
+      )
+      .mkString
+    val line: String =
+      "\"funder\": [{\"name\": \"Wellcome Trust Masters Fellowship\",\"award\": [\"090633\"]}],"
     val json = template.replace("%s", line)
     val resultList: List[Oaf] = Crossref2Oaf.convert(json)
     assertTrue(resultList.nonEmpty)
@@ -431,13 +501,17 @@ class CrossrefMappingTest {
 
     result.getPid.asScala.foreach(pid => assertTrue(pid.getQualifier.getClassid.equals("doi")))
     assertTrue(result.getPid.size() == 1)
-    result.getPid.asScala.foreach(pid => assertTrue(pid.getValue.equals("10.26850/1678-4618EQJ.v35.1.2010.p41-46".toLowerCase())))
+    result.getPid.asScala.foreach(pid =>
+      assertTrue(pid.getValue.equals("10.26850/1678-4618EQJ.v35.1.2010.p41-46".toLowerCase()))
+    )
 
   }
 
   @Test
   def testNormalizeDOI2(): Unit = {
-    val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json")).mkString
+    val template = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json"))
+      .mkString
 
     val resultList: List[Oaf] = Crossref2Oaf.convert(template)
     assertTrue(resultList.nonEmpty)
@@ -446,14 +520,19 @@ class CrossrefMappingTest {
 
     result.getPid.asScala.foreach(pid => assertTrue(pid.getQualifier.getClassid.equals("doi")))
     assertTrue(result.getPid.size() == 1)
-    result.getPid.asScala.foreach(pid => assertTrue(pid.getValue.equals("10.26850/1678-4618EQJ.v35.1.2010.p41-46".toLowerCase())))
+    result.getPid.asScala.foreach(pid =>
+      assertTrue(pid.getValue.equals("10.26850/1678-4618EQJ.v35.1.2010.p41-46".toLowerCase()))
+    )
 
   }
 
   @Test
-  def testLicenseVorClosed() :Unit = {
+  def testLicenseVorClosed(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_vor.json")).mkString
+    val json = Source
-
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_vor.json")
+      )
+      .mkString
 
     assertNotNull(json)
     assertFalse(json.isEmpty);
@@ -462,25 +541,28 @@ class CrossrefMappingTest {
 
     assertTrue(resultList.nonEmpty)
 
-
+    val item: Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
-    val item : Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
 
     mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
     println(mapper.writeValueAsString(item))
 
-    assertTrue(item.getInstance().asScala exists (i => i.getLicense.getValue.equals("https://www.springer.com/vor")))
+    assertTrue(
-    assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("CLOSED")))
+      item.getInstance().asScala exists (i => i.getLicense.getValue.equals("https://www.springer.com/vor"))
+    )
+    assertTrue(
+      item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("CLOSED"))
+    )
     assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == null))
 
-
-
-
   }
 
   @Test
-  def testLicenseOpen() :Unit = {
+  def testLicenseOpen(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_open.json")).mkString
+    val json = Source
-
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_open.json")
+      )
+      .mkString
 
     assertNotNull(json)
     assertFalse(json.isEmpty);
@@ -489,21 +571,33 @@ class CrossrefMappingTest {
 
     assertTrue(resultList.nonEmpty)
 
+    val item: Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
 
-    val item : Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
+    assertTrue(
-
+      item.getInstance().asScala exists (i =>
-    assertTrue(item.getInstance().asScala exists (i => i.getLicense.getValue.equals("http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html")))
+        i.getLicense.getValue.equals(
+          "http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html"
+        )
+      )
+    )
     assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("OPEN")))
-    assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == OpenAccessRoute.hybrid))
+    assertTrue(
+      item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == OpenAccessRoute.hybrid)
+    )
     mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
     println(mapper.writeValueAsString(item))
 
   }
 
   @Test
-  def testLicenseEmbargoOpen() :Unit = {
+  def testLicenseEmbargoOpen(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo_open.json")).mkString
+    val json = Source
-
+      .fromInputStream(
+        getClass.getResourceAsStream(
+          "/eu/dnetlib/doiboost/crossref/publication_license_embargo_open.json"
+        )
+      )
+      .mkString
 
     assertNotNull(json)
     assertFalse(json.isEmpty);
@@ -512,21 +606,33 @@ class CrossrefMappingTest {
 
     assertTrue(resultList.nonEmpty)
 
+    val item: Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
 
-    val item : Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
+    assertTrue(
-
+      item.getInstance().asScala exists (i =>
-    assertTrue(item.getInstance().asScala exists (i => i.getLicense.getValue.equals("https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model")))
+        i.getLicense.getValue.equals(
+          "https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model"
+        )
+      )
+    )
     assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("OPEN")))
-    assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == OpenAccessRoute.hybrid))
+    assertTrue(
+      item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == OpenAccessRoute.hybrid)
+    )
     mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
     println(mapper.writeValueAsString(item))
 
   }
 
   @Test
-  def testLicenseEmbargo() :Unit = {
+  def testLicenseEmbargo(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo.json")).mkString
+    val json = Source
-
+      .fromInputStream(
+        getClass.getResourceAsStream(
+          "/eu/dnetlib/doiboost/crossref/publication_license_embargo.json"
+        )
+      )
+      .mkString
 
     assertNotNull(json)
     assertFalse(json.isEmpty);
@@ -535,35 +641,18 @@ class CrossrefMappingTest {
 
     assertTrue(resultList.nonEmpty)
 
+    val item: Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
 
-    val item : Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
+    assertTrue(
-
+      item.getInstance().asScala exists (i =>
-    assertTrue(item.getInstance().asScala exists (i => i.getLicense.getValue.equals("https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model")))
+        i.getLicense.getValue.equals(
-    assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("EMBARGO")))
+          "https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model"
-    assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == null))
+        )
-    mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
+      )
-    println(mapper.writeValueAsString(item))
+    )
-
+    assertTrue(
-  }
+      item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("EMBARGO"))
-
+    )
-
-  @Test
-  def testLicenseEmbargoDateTime() :Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo_datetime.json")).mkString
-
-
-    assertNotNull(json)
-    assertFalse(json.isEmpty);
-
-    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
-
-    assertTrue(resultList.nonEmpty)
-
-
-    val item : Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
-
-    assertTrue(item.getInstance().asScala exists (i => i.getLicense.getValue.equals("https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model")))
-    assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("EMBARGO")))
     assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == null))
     mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
     println(mapper.writeValueAsString(item))
@@ -571,9 +660,14 @@ class CrossrefMappingTest {
   }
 
   @Test
-  def testMultipleURLs() :Unit = {
+  def testLicenseEmbargoDateTime(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/multiple_urls.json")).mkString
+    val json = Source
-
+      .fromInputStream(
+        getClass.getResourceAsStream(
+          "/eu/dnetlib/doiboost/crossref/publication_license_embargo_datetime.json"
+        )
+      )
+      .mkString
 
     assertNotNull(json)
     assertFalse(json.isEmpty);
@@ -582,12 +676,47 @@ class CrossrefMappingTest {
 
     assertTrue(resultList.nonEmpty)
 
+    val item: Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
 
-    val item : Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
+    assertTrue(
+      item.getInstance().asScala exists (i =>
+        i.getLicense.getValue.equals(
+          "https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model"
+        )
+      )
+    )
+    assertTrue(
+      item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("EMBARGO"))
+    )
+    assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == null))
+    mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
+    println(mapper.writeValueAsString(item))
+
+  }
+
+  @Test
+  def testMultipleURLs(): Unit = {
+    val json = Source
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/multiple_urls.json")
+      )
+      .mkString
+
+    assertNotNull(json)
+    assertFalse(json.isEmpty);
+
+    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+
+    assertTrue(resultList.nonEmpty)
+
+    val item: Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
 
     assertEquals(1, item.getInstance().size())
     assertEquals(1, item.getInstance().get(0).getUrl().size())
-    assertEquals("https://doi.org/10.1016/j.jas.2019.105013", item.getInstance().get(0).getUrl().get(0))
+    assertEquals(
+      "https://doi.org/10.1016/j.jas.2019.105013",
+      item.getInstance().get(0).getUrl().get(0)
+    )
     //println(mapper.writeValueAsString(item))
 
   }

dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/mag/MAGMappingTest.scala

@@ -12,43 +12,35 @@ import org.slf4j.{Logger, LoggerFactory}
 import java.sql.Timestamp
 import scala.io.Source
 
-
-
 class MAGMappingTest {
 
   val logger: Logger = LoggerFactory.getLogger(getClass)
   val mapper = new ObjectMapper()
 
-
-
-
   @Test
-  def testSplitter():Unit = {
+  def testSplitter(): Unit = {
     val s = "sports.team"
 
-
     if (s.contains(".")) {
-      println(s.split("\\.")head)
+      println(s.split("\\.") head)
     }
 
   }
 
-
-
   @Test
-  def testDate() :Unit = {
+  def testDate(): Unit = {
 
-    val p:Timestamp = Timestamp.valueOf("2011-10-02 00:00:00")
+    val p: Timestamp = Timestamp.valueOf("2011-10-02 00:00:00")
 
-    println(p.toString.substring(0,10))
+    println(p.toString.substring(0, 10))
 
   }
 
-
-
   @Test
   def buildInvertedIndexTest(): Unit = {
-    val json_input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/mag/invertedIndex.json")).mkString
+    val json_input = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/mag/invertedIndex.json"))
+      .mkString
     val description = ConversionUtil.convertInvertedIndexString(json_input)
     assertNotNull(description)
     assertTrue(description.nonEmpty)
@@ -56,10 +48,9 @@ class MAGMappingTest {
     logger.debug(description)
 
   }
+
   @Test
-  def normalizeDoiTest():Unit = {
+  def normalizeDoiTest(): Unit = {
-
-
 
     implicit val formats = DefaultFormats
 
@@ -78,8 +69,9 @@ class MAGMappingTest {
     val schema = Encoders.product[MagPapers].schema
 
     import spark.implicits._
-    val magPapers :Dataset[MagPapers] = spark.read.option("multiline",true).schema(schema).json(path).as[MagPapers]
+    val magPapers: Dataset[MagPapers] =
-    val ret :Dataset[MagPapers] = SparkProcessMAG.getDistinctResults(magPapers)
+      spark.read.option("multiline", true).schema(schema).json(path).as[MagPapers]
+    val ret: Dataset[MagPapers] = SparkProcessMAG.getDistinctResults(magPapers)
     assertTrue(ret.count == 10)
     ret.take(10).foreach(mp => assertTrue(mp.Doi.equals(mp.Doi.toLowerCase())))
 
@@ -87,7 +79,7 @@ class MAGMappingTest {
   }
 
   @Test
-  def normalizeDoiTest2():Unit = {
+  def normalizeDoiTest2(): Unit = {
 
     import org.json4s.DefaultFormats
 
@@ -108,15 +100,13 @@ class MAGMappingTest {
     val schema = Encoders.product[MagPapers].schema
 
     import spark.implicits._
-    val magPapers :Dataset[MagPapers] = spark.read.option("multiline",true).schema(schema).json(path).as[MagPapers]
+    val magPapers: Dataset[MagPapers] =
-    val ret :Dataset[MagPapers] = SparkProcessMAG.getDistinctResults(magPapers)
+      spark.read.option("multiline", true).schema(schema).json(path).as[MagPapers]
+    val ret: Dataset[MagPapers] = SparkProcessMAG.getDistinctResults(magPapers)
     assertTrue(ret.count == 8)
     ret.take(8).foreach(mp => assertTrue(mp.Doi.equals(mp.Doi.toLowerCase())))
     spark.close()
     //ret.take(8).foreach(mp => println(write(mp)))
   }
 
-
 }
-
-

dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/orcid/MappingORCIDToOAFTest.scala

@@ -19,8 +19,10 @@ class MappingORCIDToOAFTest {
   val mapper = new ObjectMapper()
 
   @Test
-  def testExtractData():Unit ={
+  def testExtractData(): Unit = {
-    val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/orcid/dataOutput")).mkString
+    val json = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/orcid/dataOutput"))
+      .mkString
     assertNotNull(json)
     assertFalse(json.isEmpty)
     json.lines.foreach(s => {
@@ -29,10 +31,10 @@ class MappingORCIDToOAFTest {
   }
 
   @Test
-  def testOAFConvert(@TempDir testDir: Path):Unit ={
+  def testOAFConvert(@TempDir testDir: Path): Unit = {
-    val sourcePath:String = getClass.getResource("/eu/dnetlib/doiboost/orcid/datasets").getPath
+    val sourcePath: String = getClass.getResource("/eu/dnetlib/doiboost/orcid/datasets").getPath
-    val targetPath: String =s"${testDir.toString}/output/orcidPublication"
+    val targetPath: String = s"${testDir.toString}/output/orcidPublication"
-    val workingPath =s"${testDir.toString}/wp/"
+    val workingPath = s"${testDir.toString}/wp/"
 
     val conf = new SparkConf()
     conf.setMaster("local[*]")
@@ -46,18 +48,14 @@ class MappingORCIDToOAFTest {
     implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
     import spark.implicits._
 
-    SparkPreprocessORCID.run( spark,sourcePath, workingPath)
+    SparkPreprocessORCID.run(spark, sourcePath, workingPath)
 
-    SparkConvertORCIDToOAF.run(spark, workingPath,targetPath)
+    SparkConvertORCIDToOAF.run(spark, workingPath, targetPath)
 
     val mapper = new ObjectMapper()
 
-
-
     val oA = spark.read.load(s"$workingPath/orcidworksWithAuthor").as[ORCIDItem].count()
 
-
-
     val p: Dataset[Publication] = spark.read.load(targetPath).as[Publication]
 
     assertTrue(oA == p.count())
@@ -65,19 +63,18 @@ class MappingORCIDToOAFTest {
 
     spark.close()
 
-
   }
 
-
   @Test
-  def testExtractDat1():Unit ={
+  def testExtractDat1(): Unit = {
 
+    val aList: List[OrcidAuthor] = List(
+      OrcidAuthor("0000-0002-4335-5309", Some("Lucrecia"), Some("Curto"), null, null, null),
+      OrcidAuthor("0000-0001-7501-3330", Some("Emilio"), Some("Malchiodi"), null, null, null),
+      OrcidAuthor("0000-0002-5490-9186", Some("Sofia"), Some("Noli Truant"), null, null, null)
+    )
 
-
+    val orcid: ORCIDItem = ORCIDItem("10.1042/BCJ20160876", aList)
-    val aList: List[OrcidAuthor] = List(OrcidAuthor("0000-0002-4335-5309", Some("Lucrecia"), Some("Curto"), null, null, null ),
-      OrcidAuthor("0000-0001-7501-3330", Some("Emilio"), Some("Malchiodi"), null, null, null ), OrcidAuthor("0000-0002-5490-9186", Some("Sofia"), Some("Noli Truant"), null, null, null ))
-
-    val orcid:ORCIDItem = ORCIDItem("10.1042/BCJ20160876", aList)
 
     val oaf = ORCIDToOAF.convertTOOAF(orcid)
     assert(oaf.getPid.size() == 1)
@@ -85,10 +82,6 @@ class MappingORCIDToOAFTest {
     oaf.getPid.toList.foreach(pid => assert(pid.getValue.equals("10.1042/BCJ20160876")))
     //println(mapper.writeValueAsString(ORCIDToOAF.convertTOOAF(orcid)))
 
-
   }
 
-
-
-
 }

dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/uw/UnpayWallMappingTest.scala

@@ -14,41 +14,43 @@ class UnpayWallMappingTest {
   val logger: Logger = LoggerFactory.getLogger(getClass)
   val mapper = new ObjectMapper()
 
-
   @Test
-  def testMappingToOAF():Unit ={
+  def testMappingToOAF(): Unit = {
 
-    val Ilist = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/uw/input.json")).mkString
+    val Ilist = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/uw/input.json"))
+      .mkString
 
-    var i:Int = 0
+    var i: Int = 0
-    for (line <-Ilist.lines) {
+    for (line <- Ilist.lines) {
       val p = UnpayWallToOAF.convertToOAF(line)
 
-      if(p!= null) {
+      if (p != null) {
-        assertTrue(p.getInstance().size()==1)
+        assertTrue(p.getInstance().size() == 1)
-        if (i== 0){
+        if (i == 0) {
           assertTrue(p.getPid.get(0).getValue.equals("10.1038/2211089b0"))
         }
-        if (i== 1){
+        if (i == 1) {
           assertTrue(p.getPid.get(0).getValue.equals("10.1021/acs.bioconjchem.8b00058.s001"))
         }
-        if (i== 2){
+        if (i == 2) {
           assertTrue(p.getPid.get(0).getValue.equals("10.1021/acs.bioconjchem.8b00086.s001"))
         }
         logger.info(s"ID : ${p.getId}")
       }
       assertNotNull(line)
       assertTrue(line.nonEmpty)
-       i = i+1
+      i = i + 1
     }
 
-
+    val l = Ilist.lines.next()
-
-     val l = Ilist.lines.next()
 
     val item = UnpayWallToOAF.convertToOAF(l)
 
-    assertEquals(item.getInstance().get(0).getAccessright.getOpenAccessRoute, OpenAccessRoute.bronze)
+    assertEquals(
+      item.getInstance().get(0).getAccessright.getOpenAccessRoute,
+      OpenAccessRoute.bronze
+    )
 
     logger.info(mapper.writeValueAsString(item))
 

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala

@@ -4,137 +4,190 @@ import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
 import org.apache.spark.sql.expressions.Aggregator
 import org.apache.spark.sql.{Dataset, Encoder, Encoders, TypedColumn}
 
+case class HostedByItemType(
+  id: String,
+  officialname: String,
+  issn: String,
+  eissn: String,
+  lissn: String,
+  openAccess: Boolean
+) {}
 
-case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {}
+case class HostedByInfo(
-case class HostedByInfo(id: String, officialname: String, journal_id: String, provenance : String, id_type: String) {}
+  id: String,
+  officialname: String,
+  journal_id: String,
+  provenance: String,
+  id_type: String
+) {}
 
 object Aggregators {
 
-
+  def getId(s1: String, s2: String): String = {
-
+    if (s1.startsWith("10|")) {
-  def getId(s1:String, s2:String) : String = {
-    if (s1.startsWith("10|")){
-      return s1}
-    s2
-  }
-
-  def getValue(s1:String, s2:String) : String = {
-    if(!s1.equals("")){
       return s1
     }
     s2
   }
 
+  def getValue(s1: String, s2: String): String = {
+    if (!s1.equals("")) {
+      return s1
+    }
+    s2
+  }
 
-  def explodeHostedByItemType(df: Dataset[(String, HostedByItemType)]): Dataset[(String, HostedByItemType)] = {
+  def explodeHostedByItemType(
-    val transformedData : Dataset[(String, HostedByItemType)] = df
+    df: Dataset[(String, HostedByItemType)]
+  ): Dataset[(String, HostedByItemType)] = {
+    val transformedData: Dataset[(String, HostedByItemType)] = df
       .groupByKey(_._1)(Encoders.STRING)
       .agg(Aggregators.hostedByAggregator)
-      .map{
+      .map { case (id: String, res: (String, HostedByItemType)) =>
-        case (id:String , res:(String, HostedByItemType)) => res
+        res
       }(Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType]))
 
     transformedData
   }
 
-  val hostedByAggregator: TypedColumn[(String, HostedByItemType), (String, HostedByItemType)] = new Aggregator[(String, HostedByItemType), (String, HostedByItemType), (String, HostedByItemType)] {
+  val hostedByAggregator: TypedColumn[(String, HostedByItemType), (String, HostedByItemType)] =
-    override def zero: (String, HostedByItemType) = ("", HostedByItemType("","","","","",false))
+    new Aggregator[
-    override def reduce(b: (String, HostedByItemType), a:(String,HostedByItemType)): (String, HostedByItemType) = {
+      (String, HostedByItemType),
-      return merge(b, a)
+      (String, HostedByItemType),
-    }
+      (String, HostedByItemType)
-    override def merge(b1: (String, HostedByItemType), b2: (String, HostedByItemType)): (String, HostedByItemType) = {
+    ] {
-      if (b1 == null){
+
-        return b2
+      override def zero: (String, HostedByItemType) =
+        ("", HostedByItemType("", "", "", "", "", false))
+
+      override def reduce(
+        b: (String, HostedByItemType),
+        a: (String, HostedByItemType)
+      ): (String, HostedByItemType) = {
+        return merge(b, a)
       }
-      if(b2 == null){
+
-        return b1
+      override def merge(
-      }
+        b1: (String, HostedByItemType),
-      if(b1._2.id.startsWith("10|")){
+        b2: (String, HostedByItemType)
-        return (b1._1, HostedByItemType(b1._2.id, b1._2.officialname, b1._2.issn, b1._2.eissn, b1._2.lissn, b1._2.openAccess || b2._2.openAccess))
+      ): (String, HostedByItemType) = {
+        if (b1 == null) {
+          return b2
+        }
+        if (b2 == null) {
+          return b1
+        }
+        if (b1._2.id.startsWith("10|")) {
+          return (
+            b1._1,
+            HostedByItemType(
+              b1._2.id,
+              b1._2.officialname,
+              b1._2.issn,
+              b1._2.eissn,
+              b1._2.lissn,
+              b1._2.openAccess || b2._2.openAccess
+            )
+          )
+
+        }
+        return (
+          b2._1,
+          HostedByItemType(
+            b2._2.id,
+            b2._2.officialname,
+            b2._2.issn,
+            b2._2.eissn,
+            b2._2.lissn,
+            b1._2.openAccess || b2._2.openAccess
+          )
+        )
 
       }
-      return (b2._1, HostedByItemType(b2._2.id, b2._2.officialname, b2._2.issn, b2._2.eissn, b2._2.lissn, b1._2.openAccess || b2._2.openAccess))
 
-    }
+      override def finish(reduction: (String, HostedByItemType)): (String, HostedByItemType) =
-    override def finish(reduction: (String,HostedByItemType)): (String, HostedByItemType) = reduction
+        reduction
-    override def bufferEncoder: Encoder[(String,HostedByItemType)] = Encoders.tuple(Encoders.STRING,Encoders.product[HostedByItemType])
 
-    override def outputEncoder: Encoder[(String,HostedByItemType)] = Encoders.tuple(Encoders.STRING,Encoders.product[HostedByItemType])
+      override def bufferEncoder: Encoder[(String, HostedByItemType)] =
-  }.toColumn
+        Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])
 
+      override def outputEncoder: Encoder[(String, HostedByItemType)] =
+        Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])
+    }.toColumn
 
+  def resultToSingleIdAggregator: TypedColumn[EntityInfo, EntityInfo] =
+    new Aggregator[EntityInfo, EntityInfo, EntityInfo] {
+      override def zero: EntityInfo = EntityInfo.newInstance("", "", "")
 
-
+      override def reduce(b: EntityInfo, a: EntityInfo): EntityInfo = {
-  def resultToSingleIdAggregator: TypedColumn[EntityInfo, EntityInfo] = new Aggregator[EntityInfo, EntityInfo, EntityInfo]{
+        return merge(b, a)
-    override def zero: EntityInfo = EntityInfo.newInstance("","","")
-
-    override def reduce(b: EntityInfo, a:EntityInfo):  EntityInfo = {
-      return merge(b, a)
-    }
-    override def merge(b1: EntityInfo, b2: EntityInfo): EntityInfo = {
-      if (b1 == null){
-        return b2
       }
-      if(b2 == null){
+
-        return b1
+      override def merge(b1: EntityInfo, b2: EntityInfo): EntityInfo = {
+        if (b1 == null) {
+          return b2
+        }
+        if (b2 == null) {
+          return b1
+        }
+        if (!b1.getHostedById.equals("")) {
+          b1.setOpenAccess(b1.getOpenAccess || b2.getOpenAccess)
+          return b1
+        }
+        b2.setOpenAccess(b1.getOpenAccess || b2.getOpenAccess)
+        b2
+
       }
-      if(!b1.getHostedById.equals("")){
+      override def finish(reduction: EntityInfo): EntityInfo = reduction
-        b1.setOpenAccess(b1.getOpenAccess || b2.getOpenAccess)
+      override def bufferEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
-        return b1
-      }
-      b2.setOpenAccess(b1.getOpenAccess || b2.getOpenAccess)
-      b2
 
-    }
+      override def outputEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
-    override def finish(reduction: EntityInfo):  EntityInfo = reduction
+    }.toColumn
-    override def bufferEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
 
-    override def outputEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
+  def resultToSingleId(df: Dataset[EntityInfo]): Dataset[EntityInfo] = {
-  }.toColumn
+    val transformedData: Dataset[EntityInfo] = df
-
-  def resultToSingleId(df:Dataset[EntityInfo]): Dataset[EntityInfo] = {
-    val transformedData : Dataset[EntityInfo] = df
       .groupByKey(_.getId)(Encoders.STRING)
       .agg(Aggregators.resultToSingleIdAggregator)
-      .map{
+      .map { case (id: String, res: EntityInfo) =>
-        case (id:String , res: EntityInfo) => res
+        res
       }(Encoders.bean(classOf[EntityInfo]))
 
     transformedData
   }
 
-  def datasourceToSingleIdAggregator: TypedColumn[EntityInfo, EntityInfo] = new Aggregator[EntityInfo, EntityInfo, EntityInfo]{
+  def datasourceToSingleIdAggregator: TypedColumn[EntityInfo, EntityInfo] =
-    override def zero: EntityInfo = EntityInfo.newInstance("","","")
+    new Aggregator[EntityInfo, EntityInfo, EntityInfo] {
+      override def zero: EntityInfo = EntityInfo.newInstance("", "", "")
 
-    override def reduce(b: EntityInfo, a:EntityInfo):  EntityInfo = {
+      override def reduce(b: EntityInfo, a: EntityInfo): EntityInfo = {
-      return merge(b, a)
+        return merge(b, a)
-    }
-    override def merge(b1: EntityInfo, b2: EntityInfo): EntityInfo = {
-      if (b1 == null){
-        return b2
       }
-      if(b2 == null){
+
-        return b1
+      override def merge(b1: EntityInfo, b2: EntityInfo): EntityInfo = {
+        if (b1 == null) {
+          return b2
+        }
+        if (b2 == null) {
+          return b1
+        }
+        if (!b1.getHostedById.equals("")) {
+          return b1
+        }
+        b2
+
       }
-      if(!b1.getHostedById.equals("")){
+      override def finish(reduction: EntityInfo): EntityInfo = reduction
-        return b1
+      override def bufferEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
-      }
-      b2
 
-    }
+      override def outputEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
-    override def finish(reduction: EntityInfo):  EntityInfo = reduction
+    }.toColumn
-    override def bufferEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
 
-    override def outputEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
+  def datasourceToSingleId(df: Dataset[EntityInfo]): Dataset[EntityInfo] = {
-  }.toColumn
+    val transformedData: Dataset[EntityInfo] = df
-
-
-  def datasourceToSingleId(df:Dataset[EntityInfo]): Dataset[EntityInfo] = {
-    val transformedData : Dataset[EntityInfo] = df
       .groupByKey(_.getHostedById)(Encoders.STRING)
       .agg(Aggregators.datasourceToSingleIdAggregator)
-      .map{
+      .map { case (id: String, res: EntityInfo) =>
-        case (id:String , res: EntityInfo) => res
+        res
       }(Encoders.bean(classOf[EntityInfo]))
 
     transformedData

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala

@@ -14,7 +14,8 @@ import org.slf4j.{Logger, LoggerFactory}
 object SparkApplyHostedByMapToDatasource {
 
   def applyHBtoDats(join: Dataset[EntityInfo], dats: Dataset[Datasource]): Dataset[Datasource] = {
-    dats.joinWith(join, dats.col("id").equalTo(join.col("hostedById")), "left")
+    dats
+      .joinWith(join, dats.col("id").equalTo(join.col("hostedById")), "left")
       .map(t2 => {
         val d: Datasource = t2._1
         if (t2._2 != null) {
@@ -31,14 +32,21 @@ object SparkApplyHostedByMapToDatasource {
 
     val logger: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_apply_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_apply_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val graphPath = parser.get("graphPath")
     val outputPath = parser.get("outputPath")
@@ -51,20 +59,27 @@ object SparkApplyHostedByMapToDatasource {
 
     val mapper = new ObjectMapper()
 
-    val dats: Dataset[Datasource] = spark.read.textFile(graphPath + "/datasource")
+    val dats: Dataset[Datasource] = spark.read
+      .textFile(graphPath + "/datasource")
       .map(r => mapper.readValue(r, classOf[Datasource]))
 
-    val pinfo: Dataset[EntityInfo] = Aggregators.datasourceToSingleId(spark.read.textFile(preparedInfoPath)
+    val pinfo: Dataset[EntityInfo] = Aggregators.datasourceToSingleId(
-      .map(ei => mapper.readValue(ei, classOf[EntityInfo])))
+      spark.read
+        .textFile(preparedInfoPath)
+        .map(ei => mapper.readValue(ei, classOf[EntityInfo]))
+    )
 
-    applyHBtoDats(pinfo, dats).write.mode(SaveMode.Overwrite).option("compression", "gzip").json(outputPath)
+    applyHBtoDats(pinfo, dats).write
+      .mode(SaveMode.Overwrite)
+      .option("compression", "gzip")
+      .json(outputPath)
 
-    spark.read.textFile(outputPath)
+    spark.read
+      .textFile(outputPath)
       .write
       .mode(SaveMode.Overwrite)
       .option("compression", "gzip")
       .text(graphPath + "/datasource")
   }
 
-
 }

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala

@@ -16,7 +16,8 @@ import scala.collection.JavaConverters._
 object SparkApplyHostedByMapToResult {
 
   def applyHBtoPubs(join: Dataset[EntityInfo], pubs: Dataset[Publication]) = {
-    pubs.joinWith(join, pubs.col("id").equalTo(join.col("id")), "left")
+    pubs
+      .joinWith(join, pubs.col("id").equalTo(join.col("id")), "left")
       .map(t2 => {
         val p: Publication = t2._1
         if (t2._2 != null) {
@@ -27,7 +28,14 @@ object SparkApplyHostedByMapToResult {
             inst.getHostedby.setKey(ei.getHostedById)
             inst.getHostedby.setValue(ei.getName)
             if (ei.getOpenAccess) {
-              inst.setAccessright(OafMapperUtils.accessRight(ModelConstants.ACCESS_RIGHT_OPEN, "Open Access", ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES))
+              inst.setAccessright(
+                OafMapperUtils.accessRight(
+                  ModelConstants.ACCESS_RIGHT_OPEN,
+                  "Open Access",
+                  ModelConstants.DNET_ACCESS_MODES,
+                  ModelConstants.DNET_ACCESS_MODES
+                )
+              )
               inst.getAccessright.setOpenAccessRoute(OpenAccessRoute.gold)
               p.setBestaccessright(OafMapperUtils.createBestAccessRights(p.getInstance()));
             }
@@ -40,46 +48,54 @@ object SparkApplyHostedByMapToResult {
 
   def main(args: Array[String]): Unit = {
 
-
     val logger: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_apply_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_apply_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val graphPath = parser.get("graphPath")
 
     val outputPath = parser.get("outputPath")
     val preparedInfoPath = parser.get("preparedInfoPath")
 
-
     implicit val formats = DefaultFormats
 
-
     implicit val mapEncoderPubs: Encoder[Publication] = Encoders.bean(classOf[Publication])
     implicit val mapEncoderEinfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
     val mapper = new ObjectMapper()
 
-    val pubs: Dataset[Publication] = spark.read.textFile(graphPath + "/publication")
+    val pubs: Dataset[Publication] = spark.read
+      .textFile(graphPath + "/publication")
       .map(r => mapper.readValue(r, classOf[Publication]))
 
-    val pinfo: Dataset[EntityInfo] = spark.read.textFile(preparedInfoPath)
+    val pinfo: Dataset[EntityInfo] = spark.read
+      .textFile(preparedInfoPath)
       .map(ei => mapper.readValue(ei, classOf[EntityInfo]))
 
-    applyHBtoPubs(pinfo, pubs).write.mode(SaveMode.Overwrite).option("compression", "gzip").json(outputPath)
+    applyHBtoPubs(pinfo, pubs).write
+      .mode(SaveMode.Overwrite)
+      .option("compression", "gzip")
+      .json(outputPath)
 
-    spark.read.textFile(outputPath)
+    spark.read
+      .textFile(outputPath)
       .write
       .mode(SaveMode.Overwrite)
       .option("compression", "gzip")
       .text(graphPath + "/publication")
   }
 
-
 }

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala

@@ -19,7 +19,6 @@ object SparkPrepareHostedByInfoToApply {
   def getList(id: String, j: Journal, name: String): List[EntityInfo] = {
     var lst: List[EntityInfo] = List()
 
-
     if (j.getIssnLinking != null && !j.getIssnLinking.equals("")) {
       lst = EntityInfo.newInstance(id, j.getIssnLinking, name) :: lst
     }
@@ -37,14 +36,14 @@ object SparkPrepareHostedByInfoToApply {
 
     val mapper = new ObjectMapper()
 
-    val dd: Dataset[Publication] = spark.read.textFile(publicationPath)
+    val dd: Dataset[Publication] = spark.read
+      .textFile(publicationPath)
       .map(r => mapper.readValue(r, classOf[Publication]))
 
     dd.filter(p => p.getJournal != null).flatMap(p => getList(p.getId, p.getJournal, ""))
 
   }
 
-
   def toEntityInfo(input: String): EntityInfo = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
 
@@ -53,7 +52,6 @@ object SparkPrepareHostedByInfoToApply {
     toEntityItem(c.keys.head, c.values.head)
   }
 
-
   def toEntityItem(journal_id: String, hbi: HostedByItemType): EntityInfo = {
 
     EntityInfo.newInstance(hbi.id, journal_id, hbi.officialname, hbi.openAccess)
@@ -61,62 +59,69 @@ object SparkPrepareHostedByInfoToApply {
   }
 
   def joinResHBM(res: Dataset[EntityInfo], hbm: Dataset[EntityInfo]): Dataset[EntityInfo] = {
-    Aggregators.resultToSingleId(res.joinWith(hbm, res.col("journalId").equalTo(hbm.col("journalId")), "left")
+    Aggregators.resultToSingleId(
-      .map(t2 => {
+      res
-        val res: EntityInfo = t2._1
+        .joinWith(hbm, res.col("journalId").equalTo(hbm.col("journalId")), "left")
-        if (t2._2 != null) {
+        .map(t2 => {
-          val ds = t2._2
+          val res: EntityInfo = t2._1
-          res.setHostedById(ds.getId)
+          if (t2._2 != null) {
-          res.setOpenAccess(ds.getOpenAccess)
+            val ds = t2._2
-          res.setName(ds.getName)
+            res.setHostedById(ds.getId)
-        }
+            res.setOpenAccess(ds.getOpenAccess)
-        res
+            res.setName(ds.getName)
-      }))
+          }
+          res
+        })
+    )
   }
 
   def main(args: Array[String]): Unit = {
 
-
     val logger: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_prepare_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_prepare_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val graphPath = parser.get("graphPath")
 
     val outputPath = parser.get("preparedInfoPath")
     val hostedByMapPath = parser.get("hostedByMapPath")
 
-
     implicit val formats = DefaultFormats
 
-
     logger.info("Getting the Datasources")
 
     import spark.implicits._
 
-
     //STEP1: read the hostedbymap and transform it in EntityInfo
-    val hostedByInfo: Dataset[EntityInfo] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath)).map(toEntityInfo)
+    val hostedByInfo: Dataset[EntityInfo] =
+      spark.createDataset(spark.sparkContext.textFile(hostedByMapPath)).map(toEntityInfo)
 
     //STEP2: create association (publication, issn), (publication, eissn), (publication, lissn)
-    val resultInfoDataset: Dataset[EntityInfo] = prepareResultInfo(spark, graphPath + "/publication")
+    val resultInfoDataset: Dataset[EntityInfo] =
+      prepareResultInfo(spark, graphPath + "/publication")
 
     //STEP3: left join resultInfo with hostedByInfo on journal_id. Reduction of all the results with the same id in just
     //one entry (one result could be associated to issn and eissn and so possivly matching more than once against the map)
     //to this entry we add the id of the datasource for the next step
-    joinResHBM(resultInfoDataset, hostedByInfo)
+    joinResHBM(resultInfoDataset, hostedByInfo).write
-      .write.mode(SaveMode.Overwrite).option("compression", "gzip").json(outputPath)
+      .mode(SaveMode.Overwrite)
-
+      .option("compression", "gzip")
+      .json(outputPath)
 
   }
 
-
 }

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala

@@ -17,9 +17,8 @@ import java.io.PrintWriter
 
 object SparkProduceHostedByMap {
 
-
+  implicit val tupleForJoinEncoder: Encoder[(String, HostedByItemType)] =
-  implicit val tupleForJoinEncoder: Encoder[(String, HostedByItemType)] = Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])
+    Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])
-
 
   def toHostedByItemType(input: ((HostedByInfo, HostedByInfo), HostedByInfo)): HostedByItemType = {
     val openaire: HostedByInfo = input._1._1
@@ -28,9 +27,33 @@ object SparkProduceHostedByMap {
     val isOpenAccess: Boolean = doaj == null && gold == null
 
     openaire.journal_id match {
-      case Constants.ISSN => HostedByItemType(openaire.id, openaire.officialname, openaire.journal_id, "", "", isOpenAccess)
+      case Constants.ISSN =>
-      case Constants.EISSN => HostedByItemType(openaire.id, openaire.officialname, "", openaire.journal_id, "", isOpenAccess)
+        HostedByItemType(
-      case Constants.ISSNL => HostedByItemType(openaire.id, openaire.officialname, "", "", openaire.journal_id, isOpenAccess)
+          openaire.id,
+          openaire.officialname,
+          openaire.journal_id,
+          "",
+          "",
+          isOpenAccess
+        )
+      case Constants.EISSN =>
+        HostedByItemType(
+          openaire.id,
+          openaire.officialname,
+          "",
+          openaire.journal_id,
+          "",
+          isOpenAccess
+        )
+      case Constants.ISSNL =>
+        HostedByItemType(
+          openaire.id,
+          openaire.officialname,
+          "",
+          "",
+          openaire.journal_id,
+          isOpenAccess
+        )
 
       // catch the default with a variable so you can print it
       case whoa => null
@@ -46,11 +69,16 @@ object SparkProduceHostedByMap {
 
     Serialization.write(map)
 
-
   }
 
-
+  def getHostedByItemType(
-  def getHostedByItemType(id: String, officialname: String, issn: String, eissn: String, issnl: String, oa: Boolean): HostedByItemType = {
+    id: String,
+    officialname: String,
+    issn: String,
+    eissn: String,
+    issnl: String,
+    oa: Boolean
+  ): HostedByItemType = {
     if (issn != null) {
       if (eissn != null) {
         if (issnl != null) {
@@ -85,7 +113,14 @@ object SparkProduceHostedByMap {
   def oaToHostedbyItemType(dats: Datasource): HostedByItemType = {
     if (dats.getJournal != null) {
 
-      return getHostedByItemType(dats.getId, dats.getOfficialname.getValue, dats.getJournal.getIssnPrinted, dats.getJournal.getIssnOnline, dats.getJournal.getIssnLinking, false)
+      return getHostedByItemType(
+        dats.getId,
+        dats.getOfficialname.getValue,
+        dats.getJournal.getIssnPrinted,
+        dats.getJournal.getIssnOnline,
+        dats.getJournal.getIssnLinking,
+        false
+      )
     }
     HostedByItemType("", "", "", "", "", false)
   }
@@ -94,32 +129,41 @@ object SparkProduceHostedByMap {
 
     import spark.implicits._
 
-
     val mapper = new ObjectMapper()
 
     implicit var encoderD = Encoders.kryo[Datasource]
 
-    val dd: Dataset[Datasource] = spark.read.textFile(datasourcePath)
+    val dd: Dataset[Datasource] = spark.read
+      .textFile(datasourcePath)
       .map(r => mapper.readValue(r, classOf[Datasource]))
 
     dd.map { ddt => oaToHostedbyItemType(ddt) }.filter(hb => !(hb.id.equals("")))
 
   }
 
-
   def goldToHostedbyItemType(gold: UnibiGoldModel): HostedByItemType = {
-    return getHostedByItemType(Constants.UNIBI, gold.getTitle, gold.getIssn, "", gold.getIssnL, true)
+    return getHostedByItemType(
+      Constants.UNIBI,
+      gold.getTitle,
+      gold.getIssn,
+      "",
+      gold.getIssnL,
+      true
+    )
   }
 
-
+  def goldHostedByDataset(
-  def goldHostedByDataset(spark: SparkSession, datasourcePath: String): Dataset[HostedByItemType] = {
+    spark: SparkSession,
+    datasourcePath: String
+  ): Dataset[HostedByItemType] = {
     import spark.implicits._
 
     implicit val mapEncoderUnibi: Encoder[UnibiGoldModel] = Encoders.kryo[UnibiGoldModel]
 
     val mapper = new ObjectMapper()
 
-    val dd: Dataset[UnibiGoldModel] = spark.read.textFile(datasourcePath)
+    val dd: Dataset[UnibiGoldModel] = spark.read
+      .textFile(datasourcePath)
       .map(r => mapper.readValue(r, classOf[UnibiGoldModel]))
 
     dd.map { ddt => goldToHostedbyItemType(ddt) }.filter(hb => !(hb.id.equals("")))
@@ -128,17 +172,28 @@ object SparkProduceHostedByMap {
 
   def doajToHostedbyItemType(doaj: DOAJModel): HostedByItemType = {
 
-    return getHostedByItemType(Constants.DOAJ, doaj.getJournalTitle, doaj.getIssn, doaj.getEissn, "", true)
+    return getHostedByItemType(
+      Constants.DOAJ,
+      doaj.getJournalTitle,
+      doaj.getIssn,
+      doaj.getEissn,
+      "",
+      true
+    )
   }
 
-  def doajHostedByDataset(spark: SparkSession, datasourcePath: String): Dataset[HostedByItemType] = {
+  def doajHostedByDataset(
+    spark: SparkSession,
+    datasourcePath: String
+  ): Dataset[HostedByItemType] = {
     import spark.implicits._
 
     implicit val mapEncoderDOAJ: Encoder[DOAJModel] = Encoders.kryo[DOAJModel]
 
     val mapper = new ObjectMapper()
 
-    val dd: Dataset[DOAJModel] = spark.read.textFile(datasourcePath)
+    val dd: Dataset[DOAJModel] = spark.read
+      .textFile(datasourcePath)
       .map(r => mapper.readValue(r, classOf[DOAJModel]))
 
     dd.map { ddt => doajToHostedbyItemType(ddt) }.filter(hb => !(hb.id.equals("")))
@@ -159,7 +214,6 @@ object SparkProduceHostedByMap {
     lst
   }
 
-
   def writeToHDFS(input: Array[String], outputPath: String, hdfsNameNode: String): Unit = {
     val conf = new Configuration()
 
@@ -169,49 +223,51 @@ object SparkProduceHostedByMap {
     val writer = new PrintWriter(output)
     try {
       input.foreach(hbi => writer.println(hbi))
-    }
+    } finally {
-    finally {
       writer.close()
 
     }
 
   }
 
-
   def main(args: Array[String]): Unit = {
 
     val logger: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val datasourcePath = parser.get("datasourcePath")
     val workingDirPath = parser.get("workingPath")
     val outputPath = parser.get("outputPath")
 
-
     implicit val formats = DefaultFormats
 
-
     logger.info("Getting the Datasources")
 
-
+    Aggregators
-    Aggregators.explodeHostedByItemType(oaHostedByDataset(spark, datasourcePath)
+      .explodeHostedByItemType(
-      .union(goldHostedByDataset(spark, workingDirPath + "/unibi_gold.json"))
+        oaHostedByDataset(spark, datasourcePath)
-      .union(doajHostedByDataset(spark, workingDirPath + "/doaj.json"))
+          .union(goldHostedByDataset(spark, workingDirPath + "/unibi_gold.json"))
-      .flatMap(hbi => toList(hbi))).filter(hbi => hbi._2.id.startsWith("10|"))
+          .union(doajHostedByDataset(spark, workingDirPath + "/doaj.json"))
+          .flatMap(hbi => toList(hbi))
+      )
+      .filter(hbi => hbi._2.id.startsWith("10|"))
       .map(hbi => toHostedByMap(hbi))(Encoders.STRING)
-      .rdd.saveAsTextFile(outputPath, classOf[GzipCodec])
+      .rdd
-
+      .saveAsTextFile(outputPath, classOf[GzipCodec])
 
   }
 
-
 }

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplication.scala

@@ -20,7 +20,13 @@ object CopyHdfsOafSparkApplication {
   def main(args: Array[String]): Unit = {
     val log = LoggerFactory.getLogger(getClass)
     val conf = new SparkConf()
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/copy_hdfs_oaf_parameters.json")).mkString)
+    val parser = new ArgumentApplicationParser(
+      Source
+        .fromInputStream(
+          getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/copy_hdfs_oaf_parameters.json")
+        )
+        .mkString
+    )
     parser.parseArgument(args)
 
     val spark =
@@ -28,7 +34,8 @@ object CopyHdfsOafSparkApplication {
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val sc: SparkContext = spark.sparkContext
 
@@ -49,19 +56,22 @@ object CopyHdfsOafSparkApplication {
 
     implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
 
-    val paths = DHPUtils.mdstorePaths(mdstoreManagerUrl, mdFormat, mdLayout, mdInterpretation, true).asScala
+    val paths =
+      DHPUtils.mdstorePaths(mdstoreManagerUrl, mdFormat, mdLayout, mdInterpretation, true).asScala
 
-    val validPaths: List[String] = paths.filter(p => HdfsSupport.exists(p, sc.hadoopConfiguration)).toList
+    val validPaths: List[String] =
+      paths.filter(p => HdfsSupport.exists(p, sc.hadoopConfiguration)).toList
 
-    val types = ModelSupport.oafTypes.entrySet
+    val types = ModelSupport.oafTypes.entrySet.asScala
-      .asScala
       .map(e => Tuple2(e.getKey, e.getValue))
 
     if (validPaths.nonEmpty) {
       val oaf = spark.read.textFile(validPaths: _*)
-      val mapper = new ObjectMapper().configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false)
+      val mapper =
+        new ObjectMapper().configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false)
 
-      types.foreach(t => oaf
+      types.foreach(t =>
+        oaf
           .filter(o => isOafType(o, t._1))
           .map(j => mapper.readValue(j, t._2).asInstanceOf[Oaf])
           .map(s => mapper.writeValueAsString(s))(Encoders.STRING)

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveEntities.scala

@@ -3,7 +3,7 @@ package eu.dnetlib.dhp.oa.graph.resolution
 import com.fasterxml.jackson.databind.ObjectMapper
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
 import eu.dnetlib.dhp.schema.common.EntityType
-import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset,_}
+import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset, _}
 import org.apache.commons.io.IOUtils
 import org.apache.hadoop.fs.{FileSystem, Path}
 import org.apache.spark.SparkConf
@@ -13,20 +13,32 @@ import org.slf4j.{Logger, LoggerFactory}
 object SparkResolveEntities {
 
   val mapper = new ObjectMapper()
-  val entities = List(EntityType.dataset, EntityType.publication, EntityType.software, EntityType.otherresearchproduct)
+
+  val entities = List(
+    EntityType.dataset,
+    EntityType.publication,
+    EntityType.software,
+    EntityType.otherresearchproduct
+  )
 
   def main(args: Array[String]): Unit = {
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/resolution/resolve_entities_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/oa/graph/resolution/resolve_entities_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val graphBasePath = parser.get("graphBasePath")
     log.info(s"graphBasePath  -> $graphBasePath")
@@ -38,7 +50,6 @@ object SparkResolveEntities {
     val targetPath = parser.get("targetPath")
     log.info(s"targetPath  -> $targetPath")
 
-
     val fs = FileSystem.get(spark.sparkContext.hadoopConfiguration)
     fs.mkdirs(new Path(workingPath))
 
@@ -46,60 +57,84 @@ object SparkResolveEntities {
     generateResolvedEntities(spark, workingPath, graphBasePath, targetPath)
   }
 
-
   def resolveEntities(spark: SparkSession, workingPath: String, unresolvedPath: String) = {
     implicit val resEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
     import spark.implicits._
 
-    val rPid: Dataset[(String, String)] = spark.read.load(s"$workingPath/relationResolvedPid").as[(String, String)]
+    val rPid: Dataset[(String, String)] =
-    val up: Dataset[(String, Result)] = spark.read.text(unresolvedPath).as[String].map(s => mapper.readValue(s, classOf[Result])).map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, resEncoder))
+      spark.read.load(s"$workingPath/relationResolvedPid").as[(String, String)]
+    val up: Dataset[(String, Result)] = spark.read
+      .text(unresolvedPath)
+      .as[String]
+      .map(s => mapper.readValue(s, classOf[Result]))
+      .map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, resEncoder))
 
-    rPid.joinWith(up, rPid("_2").equalTo(up("_1")), "inner").map {
+    rPid
-      r =>
+      .joinWith(up, rPid("_2").equalTo(up("_1")), "inner")
+      .map { r =>
         val result = r._2._2
         val dnetId = r._1._1
         result.setId(dnetId)
         result
-    }.write.mode(SaveMode.Overwrite).save(s"$workingPath/resolvedEntities")
+      }
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/resolvedEntities")
   }
 
-
   def deserializeObject(input: String, entity: EntityType): Result = {
 
     entity match {
-      case EntityType.publication => mapper.readValue(input, classOf[Publication])
+      case EntityType.publication          => mapper.readValue(input, classOf[Publication])
-      case EntityType.dataset => mapper.readValue(input, classOf[OafDataset])
+      case EntityType.dataset              => mapper.readValue(input, classOf[OafDataset])
-      case EntityType.software => mapper.readValue(input, classOf[Software])
+      case EntityType.software             => mapper.readValue(input, classOf[Software])
       case EntityType.otherresearchproduct => mapper.readValue(input, classOf[OtherResearchProduct])
     }
   }
 
-  def generateResolvedEntities(spark: SparkSession, workingPath: String, graphBasePath: String, targetPath: String) = {
+  def generateResolvedEntities(
+    spark: SparkSession,
+    workingPath: String,
+    graphBasePath: String,
+    targetPath: String
+  ) = {
 
     implicit val resEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
     import spark.implicits._
 
-    val re: Dataset[(String, Result)] = spark.read.load(s"$workingPath/resolvedEntities").as[Result].map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, resEncoder))
+    val re: Dataset[(String, Result)] = spark.read
-    entities.foreach {
+      .load(s"$workingPath/resolvedEntities")
-      e => {
+      .as[Result]
+      .map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, resEncoder))
+    entities.foreach { e =>
+      {
 
-        val currentEntityDataset: Dataset[(String, Result)] = spark.read.text(s"$graphBasePath/$e").as[String].map(s => deserializeObject(s, e)).map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, resEncoder))
+        val currentEntityDataset: Dataset[(String, Result)] = spark.read
+          .text(s"$graphBasePath/$e")
+          .as[String]
+          .map(s => deserializeObject(s, e))
+          .map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, resEncoder))
 
-        currentEntityDataset.joinWith(re, currentEntityDataset("_1").equalTo(re("_1")), "left").map(k => {
+        currentEntityDataset
+          .joinWith(re, currentEntityDataset("_1").equalTo(re("_1")), "left")
+          .map(k => {
 
-          val a = k._1
+            val a = k._1
-          val b = k._2
+            val b = k._2
-          if (b == null)
+            if (b == null)
-            a._2
+              a._2
-          else {
+            else {
-            a._2.mergeFrom(b._2)
+              a._2.mergeFrom(b._2)
-            a._2
+              a._2
-          }
+            }
-        }).map(r => mapper.writeValueAsString(r))(Encoders.STRING)
+          })
-          .write.mode(SaveMode.Overwrite).option("compression", "gzip").text(s"$targetPath/$e")
+          .map(r => mapper.writeValueAsString(r))(Encoders.STRING)
+          .write
+          .mode(SaveMode.Overwrite)
+          .option("compression", "gzip")
+          .text(s"$targetPath/$e")
       }
 
-
     }
   }
 }

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveRelation.scala

@@ -17,18 +17,25 @@ import org.json4s.jackson.JsonMethods.parse
 import org.slf4j.{Logger, LoggerFactory}
 
 object SparkResolveRelation {
+
   def main(args: Array[String]): Unit = {
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/resolution/resolve_relations_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream(
+          "/eu/dnetlib/dhp/oa/graph/resolution/resolve_relations_params.json"
+        )
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val graphBasePath = parser.get("graphBasePath")
     log.info(s"graphBasePath  -> $graphBasePath")
@@ -41,7 +48,6 @@ object SparkResolveRelation {
     implicit val relEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation])
     import spark.implicits._
 
-
     //CLEANING TEMPORARY FOLDER
     HdfsSupport.remove(workingPath, spark.sparkContext.hadoopConfiguration)
     val fs = FileSystem.get(spark.sparkContext.hadoopConfiguration)
@@ -51,39 +57,49 @@ object SparkResolveRelation {
 
     val mapper: ObjectMapper = new ObjectMapper()
 
-    val rPid: Dataset[(String, String)] = spark.read.load(s"$workingPath/relationResolvedPid").as[(String, String)]
+    val rPid: Dataset[(String, String)] =
+      spark.read.load(s"$workingPath/relationResolvedPid").as[(String, String)]
 
-    val relationDs: Dataset[(String, Relation)] = spark.read.text(s"$graphBasePath/relation").as[String]
+    val relationDs: Dataset[(String, Relation)] = spark.read
-      .map(s => mapper.readValue(s, classOf[Relation])).as[Relation]
+      .text(s"$graphBasePath/relation")
+      .as[String]
+      .map(s => mapper.readValue(s, classOf[Relation]))
+      .as[Relation]
       .map(r => (r.getSource.toLowerCase, r))(Encoders.tuple(Encoders.STRING, relEncoder))
 
-    relationDs.joinWith(rPid, relationDs("_1").equalTo(rPid("_2")), "left").map {
+    relationDs
-      m =>
+      .joinWith(rPid, relationDs("_1").equalTo(rPid("_2")), "left")
+      .map { m =>
         val sourceResolved = m._2
         val currentRelation = m._1._2
         if (sourceResolved != null && sourceResolved._1 != null && sourceResolved._1.nonEmpty)
           currentRelation.setSource(sourceResolved._1)
         currentRelation
-    }.write
+      }
+      .write
       .mode(SaveMode.Overwrite)
       .save(s"$workingPath/relationResolvedSource")
 
-
+    val relationSourceResolved: Dataset[(String, Relation)] = spark.read
-    val relationSourceResolved: Dataset[(String, Relation)] = spark.read.load(s"$workingPath/relationResolvedSource").as[Relation]
+      .load(s"$workingPath/relationResolvedSource")
+      .as[Relation]
       .map(r => (r.getTarget.toLowerCase, r))(Encoders.tuple(Encoders.STRING, relEncoder))
-    relationSourceResolved.joinWith(rPid, relationSourceResolved("_1").equalTo(rPid("_2")), "left").map {
+    relationSourceResolved
-      m =>
+      .joinWith(rPid, relationSourceResolved("_1").equalTo(rPid("_2")), "left")
+      .map { m =>
         val targetResolved = m._2
         val currentRelation = m._1._2
         if (targetResolved != null && targetResolved._1.nonEmpty)
           currentRelation.setTarget(targetResolved._1)
         currentRelation
-    }
+      }
       .write
       .mode(SaveMode.Overwrite)
       .save(s"$workingPath/relation_resolved")
 
-    spark.read.load(s"$workingPath/relation_resolved").as[Relation]
+    spark.read
+      .load(s"$workingPath/relation_resolved")
+      .as[Relation]
       .filter(r => !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved"))
       .map(r => mapper.writeValueAsString(r))
       .write
@@ -96,33 +112,31 @@ object SparkResolveRelation {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(input)
     val result: List[(String, String)] = for {
-      JObject(iObj) <- json \ "instance"
+      JObject(iObj)                                 <- json \ "instance"
-      JField("collectedfrom", JObject(cf)) <- iObj
+      JField("collectedfrom", JObject(cf))          <- iObj
       JField("instancetype", JObject(instancetype)) <- iObj
-      JField("value", JString(collectedFrom)) <- cf
+      JField("value", JString(collectedFrom))       <- cf
-      JField("classname", JString(classname)) <- instancetype
+      JField("classname", JString(classname))       <- instancetype
     } yield (classname, collectedFrom)
 
     result
 
   }
 
-
   def extractPidsFromRecord(input: String): (String, List[(String, String)]) = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(input)
     val id: String = (json \ "id").extract[String]
     val result: List[(String, String)] = for {
-      JObject(pids) <- json \\ "instance" \ "pid"
+      JObject(pids)                           <- json \\ "instance" \ "pid"
-      JField("value", JString(pidValue)) <- pids
+      JField("value", JString(pidValue))      <- pids
       JField("qualifier", JObject(qualifier)) <- pids
-      JField("classid", JString(pidType)) <- qualifier
+      JField("classid", JString(pidType))     <- qualifier
     } yield (pidValue, pidType)
 
     (id, result)
   }
 
-
   private def isRelation(input: String): Boolean = {
 
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
@@ -132,20 +146,25 @@ object SparkResolveRelation {
     source != null
   }
 
-  def extractPidResolvedTableFromJsonRDD(spark: SparkSession, graphPath: String, workingPath: String) = {
+  def extractPidResolvedTableFromJsonRDD(
+    spark: SparkSession,
+    graphPath: String,
+    workingPath: String
+  ) = {
     import spark.implicits._
 
-    val d: RDD[(String, String)] = spark.sparkContext.textFile(s"$graphPath/*")
+    val d: RDD[(String, String)] = spark.sparkContext
+      .textFile(s"$graphPath/*")
       .filter(i => !isRelation(i))
       .map(i => extractPidsFromRecord(i))
       .filter(s => s != null && s._1 != null && s._2 != null && s._2.nonEmpty)
       .flatMap { p =>
-        p._2.map(pid =>
+        p._2.map(pid => (p._1, DHPUtils.generateUnresolvedIdentifier(pid._1, pid._2)))
-          (p._1, DHPUtils.generateUnresolvedIdentifier(pid._1, pid._2))
+      }
-        )
+      .filter(r => r._1 != null || r._2 != null)
-      }.filter(r => r._1 != null || r._2 != null)
 
-    spark.createDataset(d)
+    spark
+      .createDataset(d)
       .groupByKey(_._2)
       .reduceGroups((x, y) => if (x._1.startsWith("50|doi") || x._1.startsWith("50|pmid")) x else y)
       .map(s => s._2)

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/sx/graphimport/SparkDataciteToOAF.scala

@@ -7,24 +7,26 @@ import org.apache.spark.sql.SparkSession
 
 object SparkDataciteToOAF {
 
-
   def main(args: Array[String]): Unit = {
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/ebi/datacite_to_df_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/ebi/datacite_to_df_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val sc = spark.sparkContext
 
     val inputPath = parser.get("inputPath")
 
-
   }
 
 }

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertDatasetToJsonRDD.scala

@@ -11,18 +11,22 @@ import org.slf4j.{Logger, LoggerFactory}
 
 object SparkConvertDatasetToJsonRDD {
 
-
   def main(args: Array[String]): Unit = {
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_dataset_json_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_dataset_json_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val sourcePath = parser.get("sourcePath")
     log.info(s"sourcePath  -> $sourcePath")
@@ -33,9 +37,13 @@ object SparkConvertDatasetToJsonRDD {
     val mapper = new ObjectMapper()
     implicit val oafEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
 
-
     resultObject.foreach { item =>
-      spark.read.load(s"$sourcePath/$item").as[Result].map(r => mapper.writeValueAsString(r))(Encoders.STRING).rdd.saveAsTextFile(s"$targetPath/${item.toLowerCase}", classOf[GzipCodec])
+      spark.read
+        .load(s"$sourcePath/$item")
+        .as[Result]
+        .map(r => mapper.writeValueAsString(r))(Encoders.STRING)
+        .rdd
+        .saveAsTextFile(s"$targetPath/${item.toLowerCase}", classOf[GzipCodec])
     }
   }
 

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertObjectToJson.scala

@@ -15,14 +15,19 @@ object SparkConvertObjectToJson {
   def main(args: Array[String]): Unit = {
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_object_json_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_object_json_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val sourcePath = parser.get("sourcePath")
     log.info(s"sourcePath  -> $sourcePath")
@@ -33,24 +38,28 @@ object SparkConvertObjectToJson {
     val scholixUpdatePath = parser.get("scholixUpdatePath")
     log.info(s"scholixUpdatePath  -> $scholixUpdatePath")
 
-
-
     implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
     implicit val summaryEncoder: Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary]
 
-
     val mapper = new ObjectMapper
 
     objectType.toLowerCase match {
       case "scholix" =>
         log.info("Serialize Scholix")
         val d: Dataset[Scholix] = spark.read.load(sourcePath).as[Scholix]
-        val u :Dataset[Scholix]= spark.read.load(s"$scholixUpdatePath/scholix").as[Scholix]
+        val u: Dataset[Scholix] = spark.read.load(s"$scholixUpdatePath/scholix").as[Scholix]
-        d.union(u).repartition(8000).map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.saveAsTextFile(targetPath, classOf[GzipCodec])
+        d.union(u)
+          .repartition(8000)
+          .map(s => mapper.writeValueAsString(s))(Encoders.STRING)
+          .rdd
+          .saveAsTextFile(targetPath, classOf[GzipCodec])
       case "summary" =>
         log.info("Serialize Summary")
         val d: Dataset[ScholixSummary] = spark.read.load(sourcePath).as[ScholixSummary]
-        d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(1000).saveAsTextFile(targetPath, classOf[GzipCodec])
+        d.map(s => mapper.writeValueAsString(s))(Encoders.STRING)
+          .rdd
+          .repartition(1000)
+          .saveAsTextFile(targetPath, classOf[GzipCodec])
     }
   }
 

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala

@@ -7,21 +7,26 @@ import org.apache.commons.io.IOUtils
 import org.apache.spark.SparkConf
 import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
 import org.slf4j.{Logger, LoggerFactory}
+
 object SparkConvertRDDtoDataset {
 
   def main(args: Array[String]): Unit = {
 
-
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_dataset_json_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_dataset_json_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val sourcePath = parser.get("sourcePath")
     log.info(s"sourcePath  -> $sourcePath")
@@ -31,43 +36,79 @@ object SparkConvertRDDtoDataset {
     val entityPath = s"$t/entities"
     val relPath = s"$t/relation"
     val mapper = new ObjectMapper()
-    implicit  val datasetEncoder: Encoder[OafDataset] = Encoders.kryo(classOf[OafDataset])
+    implicit val datasetEncoder: Encoder[OafDataset] = Encoders.kryo(classOf[OafDataset])
-    implicit  val publicationEncoder: Encoder[Publication] = Encoders.kryo(classOf[Publication])
+    implicit val publicationEncoder: Encoder[Publication] = Encoders.kryo(classOf[Publication])
-    implicit  val relationEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation])
+    implicit val relationEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation])
-    implicit  val orpEncoder: Encoder[OtherResearchProduct] = Encoders.kryo(classOf[OtherResearchProduct])
+    implicit val orpEncoder: Encoder[OtherResearchProduct] =
-    implicit  val softwareEncoder: Encoder[Software] = Encoders.kryo(classOf[Software])
+      Encoders.kryo(classOf[OtherResearchProduct])
-
+    implicit val softwareEncoder: Encoder[Software] = Encoders.kryo(classOf[Software])
 
     log.info("Converting dataset")
-    val rddDataset =spark.sparkContext.textFile(s"$sourcePath/dataset").map(s => mapper.readValue(s, classOf[OafDataset])).filter(r=> r.getDataInfo!= null && r.getDataInfo.getDeletedbyinference == false)
+    val rddDataset = spark.sparkContext
-    spark.createDataset(rddDataset).as[OafDataset].write.mode(SaveMode.Overwrite).save(s"$entityPath/dataset")
+      .textFile(s"$sourcePath/dataset")
-
+      .map(s => mapper.readValue(s, classOf[OafDataset]))
+      .filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
+    spark
+      .createDataset(rddDataset)
+      .as[OafDataset]
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$entityPath/dataset")
 
     log.info("Converting publication")
-    val rddPublication =spark.sparkContext.textFile(s"$sourcePath/publication").map(s => mapper.readValue(s, classOf[Publication])).filter(r=> r.getDataInfo!= null && r.getDataInfo.getDeletedbyinference == false)
+    val rddPublication = spark.sparkContext
-    spark.createDataset(rddPublication).as[Publication].write.mode(SaveMode.Overwrite).save(s"$entityPath/publication")
+      .textFile(s"$sourcePath/publication")
+      .map(s => mapper.readValue(s, classOf[Publication]))
+      .filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
+    spark
+      .createDataset(rddPublication)
+      .as[Publication]
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$entityPath/publication")
 
     log.info("Converting software")
-    val rddSoftware =spark.sparkContext.textFile(s"$sourcePath/software").map(s => mapper.readValue(s, classOf[Software])).filter(r=> r.getDataInfo!= null && r.getDataInfo.getDeletedbyinference == false)
+    val rddSoftware = spark.sparkContext
-    spark.createDataset(rddSoftware).as[Software].write.mode(SaveMode.Overwrite).save(s"$entityPath/software")
+      .textFile(s"$sourcePath/software")
+      .map(s => mapper.readValue(s, classOf[Software]))
+      .filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
+    spark
+      .createDataset(rddSoftware)
+      .as[Software]
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$entityPath/software")
 
     log.info("Converting otherresearchproduct")
-    val rddOtherResearchProduct =spark.sparkContext.textFile(s"$sourcePath/otherresearchproduct").map(s => mapper.readValue(s, classOf[OtherResearchProduct])).filter(r=> r.getDataInfo!= null && r.getDataInfo.getDeletedbyinference == false)
+    val rddOtherResearchProduct = spark.sparkContext
-    spark.createDataset(rddOtherResearchProduct).as[OtherResearchProduct].write.mode(SaveMode.Overwrite).save(s"$entityPath/otherresearchproduct")
+      .textFile(s"$sourcePath/otherresearchproduct")
-
+      .map(s => mapper.readValue(s, classOf[OtherResearchProduct]))
+      .filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
+    spark
+      .createDataset(rddOtherResearchProduct)
+      .as[OtherResearchProduct]
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$entityPath/otherresearchproduct")
 
     log.info("Converting Relation")
 
+    val relationSemanticFilter = List(
+      "cites",
+      "iscitedby",
+      "merges",
+      "ismergedin",
+      "HasAmongTopNSimilarDocuments",
+      "IsAmongTopNSimilarDocuments"
+    )
 
-    val relationSemanticFilter = List("cites", "iscitedby","merges", "ismergedin", "HasAmongTopNSimilarDocuments","IsAmongTopNSimilarDocuments" )
+    val rddRelation = spark.sparkContext
-
+      .textFile(s"$sourcePath/relation")
-    val rddRelation =spark.sparkContext.textFile(s"$sourcePath/relation")
       .map(s => mapper.readValue(s, classOf[Relation]))
-      .filter(r=> r.getDataInfo!= null && r.getDataInfo.getDeletedbyinference == false)
+      .filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
-      .filter(r=> r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
+      .filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
       .filter(r => !relationSemanticFilter.exists(k => k.equalsIgnoreCase(r.getRelClass)))
     spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath")
 
-
   }
 }

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateInputGraph.scala

@@ -1,7 +1,7 @@
 package eu.dnetlib.dhp.sx.graph
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset,_}
+import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset, _}
 import org.apache.commons.io.IOUtils
 import org.apache.spark.SparkConf
 import org.apache.spark.sql._
@@ -13,82 +13,131 @@ object SparkCreateInputGraph {
 
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/extract_entities_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/extract_entities_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
-
+        .getOrCreate()
 
     val resultObject = List(
       ("publication", classOf[Publication]),
       ("dataset", classOf[OafDataset]),
       ("software", classOf[Software]),
       ("otherResearchProduct", classOf[OtherResearchProduct])
-
     )
 
     implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
     implicit val publicationEncoder: Encoder[Publication] = Encoders.kryo(classOf[Publication])
     implicit val datasetEncoder: Encoder[OafDataset] = Encoders.kryo(classOf[OafDataset])
     implicit val softwareEncoder: Encoder[Software] = Encoders.kryo(classOf[Software])
-    implicit val orpEncoder: Encoder[OtherResearchProduct] = Encoders.kryo(classOf[OtherResearchProduct])
+    implicit val orpEncoder: Encoder[OtherResearchProduct] =
+      Encoders.kryo(classOf[OtherResearchProduct])
     implicit val relEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation])
 
-
     val sourcePath = parser.get("sourcePath")
     log.info(s"sourcePath  -> $sourcePath")
     val targetPath = parser.get("targetPath")
     log.info(s"targetPath  -> $targetPath")
 
-
     val oafDs: Dataset[Oaf] = spark.read.load(s"$sourcePath/*").as[Oaf]
 
-
     log.info("Extract Publication")
-    oafDs.filter(o => o.isInstanceOf[Publication]).map(p => p.asInstanceOf[Publication]).write.mode(SaveMode.Overwrite).save(s"$targetPath/extracted/publication")
+    oafDs
+      .filter(o => o.isInstanceOf[Publication])
+      .map(p => p.asInstanceOf[Publication])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/extracted/publication")
 
     log.info("Extract dataset")
-    oafDs.filter(o => o.isInstanceOf[OafDataset]).map(p => p.asInstanceOf[OafDataset]).write.mode(SaveMode.Overwrite).save(s"$targetPath/extracted/dataset")
+    oafDs
+      .filter(o => o.isInstanceOf[OafDataset])
+      .map(p => p.asInstanceOf[OafDataset])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/extracted/dataset")
 
     log.info("Extract software")
-    oafDs.filter(o => o.isInstanceOf[Software]).map(p => p.asInstanceOf[Software]).write.mode(SaveMode.Overwrite).save(s"$targetPath/extracted/software")
+    oafDs
+      .filter(o => o.isInstanceOf[Software])
+      .map(p => p.asInstanceOf[Software])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/extracted/software")
 
     log.info("Extract otherResearchProduct")
-    oafDs.filter(o => o.isInstanceOf[OtherResearchProduct]).map(p => p.asInstanceOf[OtherResearchProduct]).write.mode(SaveMode.Overwrite).save(s"$targetPath/extracted/otherResearchProduct")
+    oafDs
+      .filter(o => o.isInstanceOf[OtherResearchProduct])
+      .map(p => p.asInstanceOf[OtherResearchProduct])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/extracted/otherResearchProduct")
 
     log.info("Extract Relation")
-    oafDs.filter(o => o.isInstanceOf[Relation]).map(p => p.asInstanceOf[Relation]).write.mode(SaveMode.Overwrite).save(s"$targetPath/extracted/relation")
+    oafDs
+      .filter(o => o.isInstanceOf[Relation])
+      .map(p => p.asInstanceOf[Relation])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/extracted/relation")
 
     resultObject.foreach { r =>
       log.info(s"Make ${r._1} unique")
-      makeDatasetUnique(s"$targetPath/extracted/${r._1}", s"$targetPath/preprocess/${r._1}", spark, r._2)
+      makeDatasetUnique(
+        s"$targetPath/extracted/${r._1}",
+        s"$targetPath/preprocess/${r._1}",
+        spark,
+        r._2
+      )
     }
   }
 
-
+  def extractEntities[T <: Oaf](
-  def extractEntities[T <: Oaf](oafDs: Dataset[Oaf], targetPath: String, clazz: Class[T], log: Logger): Unit = {
+    oafDs: Dataset[Oaf],
+    targetPath: String,
+    clazz: Class[T],
+    log: Logger
+  ): Unit = {
 
     implicit val resEncoder: Encoder[T] = Encoders.kryo(clazz)
     log.info(s"Extract ${clazz.getSimpleName}")
-    oafDs.filter(o => o.isInstanceOf[T]).map(p => p.asInstanceOf[T]).write.mode(SaveMode.Overwrite).save(targetPath)
+    oafDs
+      .filter(o => o.isInstanceOf[T])
+      .map(p => p.asInstanceOf[T])
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(targetPath)
   }
 
-
+  def makeDatasetUnique[T <: Result](
-  def makeDatasetUnique[T <: Result](sourcePath: String, targetPath: String, spark: SparkSession, clazz: Class[T]): Unit = {
+    sourcePath: String,
+    targetPath: String,
+    spark: SparkSession,
+    clazz: Class[T]
+  ): Unit = {
     import spark.implicits._
 
     implicit val resEncoder: Encoder[T] = Encoders.kryo(clazz)
 
     val ds: Dataset[T] = spark.read.load(sourcePath).as[T]
 
-    ds.groupByKey(_.getId).reduceGroups { (x, y) =>
+    ds.groupByKey(_.getId)
-      x.mergeFrom(y)
+      .reduceGroups { (x, y) =>
-      x
+        x.mergeFrom(y)
-    }.map(_._2).write.mode(SaveMode.Overwrite).save(targetPath)
+        x
+      }
+      .map(_._2)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(targetPath)
 
   }
 

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateScholix.scala

@@ -17,14 +17,19 @@ object SparkCreateScholix {
   def main(args: Array[String]): Unit = {
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/create_scholix_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/create_scholix_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val relationPath = parser.get("relationPath")
     log.info(s"relationPath  -> $relationPath")
@@ -33,37 +38,46 @@ object SparkCreateScholix {
     val targetPath = parser.get("targetPath")
     log.info(s"targetPath  -> $targetPath")
 
-
     implicit val relEncoder: Encoder[Relation] = Encoders.kryo[Relation]
     implicit val summaryEncoder: Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary]
     implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
 
     import spark.implicits._
 
-
+    val relationDS: Dataset[(String, Relation)] = spark.read
-    val relationDS: Dataset[(String, Relation)] = spark.read.load(relationPath).as[Relation]
+      .load(relationPath)
-      .filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
+      .as[Relation]
+      .filter(r =>
+        (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase
+          .contains("merge")
+      )
       .map(r => (r.getSource, r))(Encoders.tuple(Encoders.STRING, relEncoder))
 
-    val summaryDS: Dataset[(String, ScholixSummary)] = spark.read.load(summaryPath).as[ScholixSummary]
+    val summaryDS: Dataset[(String, ScholixSummary)] = spark.read
+      .load(summaryPath)
+      .as[ScholixSummary]
       .map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, summaryEncoder))
 
-
+    relationDS
-    relationDS.joinWith(summaryDS, relationDS("_1").equalTo(summaryDS("_1")), "left")
+      .joinWith(summaryDS, relationDS("_1").equalTo(summaryDS("_1")), "left")
       .map { input: ((String, Relation), (String, ScholixSummary)) =>
         if (input._1 != null && input._2 != null) {
           val rel: Relation = input._1._2
           val source: ScholixSummary = input._2._2
           (rel.getTarget, ScholixUtils.scholixFromSource(rel, source))
-        }
+        } else null
-        else null
       }(Encoders.tuple(Encoders.STRING, scholixEncoder))
       .filter(r => r != null)
-      .write.mode(SaveMode.Overwrite).save(s"$targetPath/scholix_from_source")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/scholix_from_source")
 
-    val scholixSource: Dataset[(String, Scholix)] = spark.read.load(s"$targetPath/scholix_from_source").as[(String, Scholix)](Encoders.tuple(Encoders.STRING, scholixEncoder))
+    val scholixSource: Dataset[(String, Scholix)] = spark.read
+      .load(s"$targetPath/scholix_from_source")
+      .as[(String, Scholix)](Encoders.tuple(Encoders.STRING, scholixEncoder))
 
-    scholixSource.joinWith(summaryDS, scholixSource("_1").equalTo(summaryDS("_1")), "left")
+    scholixSource
+      .joinWith(summaryDS, scholixSource("_1").equalTo(summaryDS("_1")), "left")
       .map { input: ((String, Scholix), (String, ScholixSummary)) =>
         if (input._2 == null) {
           null
@@ -72,40 +86,73 @@ object SparkCreateScholix {
           val target: ScholixSummary = input._2._2
           ScholixUtils.generateCompleteScholix(s, target)
         }
-      }.filter(s => s != null).write.mode(SaveMode.Overwrite).save(s"$targetPath/scholix_one_verse")
+      }
+      .filter(s => s != null)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/scholix_one_verse")
 
+    val scholix_o_v: Dataset[Scholix] =
+      spark.read.load(s"$targetPath/scholix_one_verse").as[Scholix]
 
-    val scholix_o_v: Dataset[Scholix] = spark.read.load(s"$targetPath/scholix_one_verse").as[Scholix]
+    scholix_o_v
-
+      .flatMap(s => List(s, ScholixUtils.createInverseScholixRelation(s)))
-    scholix_o_v.flatMap(s => List(s, ScholixUtils.createInverseScholixRelation(s))).as[Scholix]
+      .as[Scholix]
       .map(s => (s.getIdentifier, s))(Encoders.tuple(Encoders.STRING, scholixEncoder))
       .groupByKey(_._1)
       .agg(ScholixUtils.scholixAggregator.toColumn)
       .map(s => s._2)
-      .write.mode(SaveMode.Overwrite).save(s"$targetPath/scholix")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/scholix")
 
     val scholix_final: Dataset[Scholix] = spark.read.load(s"$targetPath/scholix").as[Scholix]
 
-    val stats: Dataset[(String, String, Long)] = scholix_final.map(s => (s.getSource.getDnetIdentifier, s.getTarget.getObjectType)).groupBy("_1", "_2").agg(count("_1")).as[(String, String, Long)]
+    val stats: Dataset[(String, String, Long)] = scholix_final
-
+      .map(s => (s.getSource.getDnetIdentifier, s.getTarget.getObjectType))
+      .groupBy("_1", "_2")
+      .agg(count("_1"))
+      .as[(String, String, Long)]
 
     stats
-      .map(s => RelatedEntities(s._1, if ("dataset".equalsIgnoreCase(s._2)) s._3 else 0, if ("publication".equalsIgnoreCase(s._2)) s._3 else 0))
+      .map(s =>
+        RelatedEntities(
+          s._1,
+          if ("dataset".equalsIgnoreCase(s._2)) s._3 else 0,
+          if ("publication".equalsIgnoreCase(s._2)) s._3 else 0
+        )
+      )
       .groupByKey(_.id)
-      .reduceGroups((a, b) => RelatedEntities(a.id, a.relatedDataset + b.relatedDataset, a.relatedPublication + b.relatedPublication))
+      .reduceGroups((a, b) =>
+        RelatedEntities(
+          a.id,
+          a.relatedDataset + b.relatedDataset,
+          a.relatedPublication + b.relatedPublication
+        )
+      )
       .map(_._2)
-      .write.mode(SaveMode.Overwrite).save(s"$targetPath/related_entities")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$targetPath/related_entities")
 
-    val relatedEntitiesDS: Dataset[RelatedEntities] = spark.read.load(s"$targetPath/related_entities").as[RelatedEntities].filter(r => r.relatedPublication > 0 || r.relatedDataset > 0)
+    val relatedEntitiesDS: Dataset[RelatedEntities] = spark.read
+      .load(s"$targetPath/related_entities")
+      .as[RelatedEntities]
+      .filter(r => r.relatedPublication > 0 || r.relatedDataset > 0)
 
-    relatedEntitiesDS.joinWith(summaryDS, relatedEntitiesDS("id").equalTo(summaryDS("_1")), "inner").map { i =>
+    relatedEntitiesDS
-      val re = i._1
+      .joinWith(summaryDS, relatedEntitiesDS("id").equalTo(summaryDS("_1")), "inner")
-      val sum = i._2._2
+      .map { i =>
+        val re = i._1
+        val sum = i._2._2
 
-      sum.setRelatedDatasets(re.relatedDataset)
+        sum.setRelatedDatasets(re.relatedDataset)
-      sum.setRelatedPublications(re.relatedPublication)
+        sum.setRelatedPublications(re.relatedPublication)
-      sum
+        sum
-    }.write.mode(SaveMode.Overwrite).save(s"${summaryPath}_filtered")
+      }
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"${summaryPath}_filtered")
 
   }
 }

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateSummaryObject.scala

@@ -14,14 +14,19 @@ object SparkCreateSummaryObject {
   def main(args: Array[String]): Unit = {
     val log: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/create_summaries_params.json")))
+    val parser = new ArgumentApplicationParser(
+      IOUtils.toString(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/create_summaries_params.json")
+      )
+    )
     parser.parseArgument(args)
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     val sourcePath = parser.get("sourcePath")
     log.info(s"sourcePath  -> $sourcePath")
@@ -33,10 +38,17 @@ object SparkCreateSummaryObject {
 
     implicit val summaryEncoder: Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary]
 
+    val ds: Dataset[Result] = spark.read
+      .load(s"$sourcePath/*")
+      .as[Result]
+      .filter(r => r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false)
 
-    val ds: Dataset[Result] = spark.read.load(s"$sourcePath/*").as[Result].filter(r => r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false)
+    ds.repartition(6000)
-
+      .map(r => ScholixUtils.resultToSummary(r))
-    ds.repartition(6000).map(r => ScholixUtils.resultToSummary(r)).filter(s => s != null).write.mode(SaveMode.Overwrite).save(targetPath)
+      .filter(s => s != null)
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(targetPath)
 
   }
 

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/pangaea/PangaeaUtils.scala

@@ -10,61 +10,88 @@ import java.util.regex.Pattern
 import scala.language.postfixOps
 import scala.xml.{Elem, Node, XML}
 
-case class PangaeaDataModel(identifier:String, title:List[String], objectType:List[String], creator:List[String],
+case class PangaeaDataModel(
-                            publisher:List[String], dataCenter :List[String],subject :List[String], language:String,
+  identifier: String,
-                            rights:String, parent:String,relation :List[String],linkage:List[(String,String)] ) {}
+  title: List[String],
+  objectType: List[String],
+  creator: List[String],
+  publisher: List[String],
+  dataCenter: List[String],
+  subject: List[String],
+  language: String,
+  rights: String,
+  parent: String,
+  relation: List[String],
+  linkage: List[(String, String)]
+) {}
 
 object PangaeaUtils {
 
-
+  def toDataset(input: String): PangaeaDataModel = {
-  def toDataset(input:String):PangaeaDataModel = {
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
     lazy val json: json4s.JValue = parse(input)
-    val xml= (json \ "xml").extract[String]
+    val xml = (json \ "xml").extract[String]
     parseXml(xml)
   }
 
-  def findDOIInRelation( input:List[String]):List[String] = {
+  def findDOIInRelation(input: List[String]): List[String] = {
     val pattern = Pattern.compile("\\b(10[.][0-9]{4,}(?:[.][0-9]+)*\\/(?:(?![\"&\\'<>])\\S)+)\\b")
-    input.map(i => {
+    input
-      val matcher = pattern.matcher(i)
+      .map(i => {
-      if (matcher.find())
+        val matcher = pattern.matcher(i)
-        matcher.group(0)
+        if (matcher.find())
-      else
+          matcher.group(0)
-        null
+        else
-    }).filter(i => i!= null)
+          null
+      })
+      .filter(i => i != null)
   }
 
-  def attributeOpt(attribute: String, node:Node): Option[String] =
+  def attributeOpt(attribute: String, node: Node): Option[String] =
     node.attribute(attribute) flatMap (_.headOption) map (_.text)
 
-  def extractLinkage(node:Elem):List[(String, String)] = {
+  def extractLinkage(node: Elem): List[(String, String)] = {
-    (node \ "linkage").map(n =>(attributeOpt("type",n), n.text)).filter(t => t._1.isDefined).map(t=> (t._1.get, t._2))(collection.breakOut)
+    (node \ "linkage")
+      .map(n => (attributeOpt("type", n), n.text))
+      .filter(t => t._1.isDefined)
+      .map(t => (t._1.get, t._2))(collection.breakOut)
   }
 
-  def parseXml(input:String):PangaeaDataModel = {
+  def parseXml(input: String): PangaeaDataModel = {
     val xml = XML.loadString(input)
 
     val identifier = (xml \ "identifier").text
-    val title :List[String] = (xml \ "title").map(n => n.text)(collection.breakOut)
+    val title: List[String] = (xml \ "title").map(n => n.text)(collection.breakOut)
-    val pType :List[String] = (xml \ "type").map(n => n.text)(collection.breakOut)
+    val pType: List[String] = (xml \ "type").map(n => n.text)(collection.breakOut)
-    val creators:List[String] = (xml \ "creator").map(n => n.text)(collection.breakOut)
+    val creators: List[String] = (xml \ "creator").map(n => n.text)(collection.breakOut)
-    val publisher :List[String] = (xml \ "publisher").map(n => n.text)(collection.breakOut)
+    val publisher: List[String] = (xml \ "publisher").map(n => n.text)(collection.breakOut)
-    val dataCenter :List[String] = (xml \ "dataCenter").map(n => n.text)(collection.breakOut)
+    val dataCenter: List[String] = (xml \ "dataCenter").map(n => n.text)(collection.breakOut)
-    val subject :List[String] = (xml \ "subject").map(n => n.text)(collection.breakOut)
+    val subject: List[String] = (xml \ "subject").map(n => n.text)(collection.breakOut)
-    val language= (xml \ "language").text
+    val language = (xml \ "language").text
-    val rights= (xml \ "rights").text
+    val rights = (xml \ "rights").text
-    val parentIdentifier= (xml \ "parentIdentifier").text
+    val parentIdentifier = (xml \ "parentIdentifier").text
-    val relation :List[String] = (xml \ "relation").map(n => n.text)(collection.breakOut)
+    val relation: List[String] = (xml \ "relation").map(n => n.text)(collection.breakOut)
     val relationFiltered = findDOIInRelation(relation)
-    val linkage:List[(String,String)] = extractLinkage(xml)
+    val linkage: List[(String, String)] = extractLinkage(xml)
 
-    PangaeaDataModel(identifier,title, pType, creators,publisher, dataCenter, subject, language, rights, parentIdentifier, relationFiltered, linkage)
+    PangaeaDataModel(
+      identifier,
+      title,
+      pType,
+      creators,
+      publisher,
+      dataCenter,
+      subject,
+      language,
+      rights,
+      parentIdentifier,
+      relationFiltered,
+      linkage
+    )
   }
 
-
+  def getDatasetAggregator(): Aggregator[(String, PangaeaDataModel), PangaeaDataModel, PangaeaDataModel] =
-  def getDatasetAggregator(): Aggregator[(String, PangaeaDataModel), PangaeaDataModel, PangaeaDataModel] =   new Aggregator[(String, PangaeaDataModel), PangaeaDataModel, PangaeaDataModel]{
+    new Aggregator[(String, PangaeaDataModel), PangaeaDataModel, PangaeaDataModel] {
-
 
       override def zero: PangaeaDataModel = null
 
@@ -77,7 +104,7 @@ object PangaeaUtils {
           else {
             if (b.title != null && b.title.nonEmpty)
               b
-              else
+            else
               a._2
 
           }
@@ -106,7 +133,4 @@ object PangaeaUtils {
       override def outputEncoder: Encoder[PangaeaDataModel] = Encoders.kryo[PangaeaDataModel]
     }
 
-
+}
-
-
-}

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/pangaea/SparkGeneratePanagaeaDataset.scala

@@ -11,20 +11,25 @@ import scala.io.Source
 
 object SparkGeneratePanagaeaDataset {
 
-
   def main(args: Array[String]): Unit = {
     val logger: Logger = LoggerFactory.getLogger(getClass)
     val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/pangaea/pangaea_to_dataset.json")).mkString)
+    val parser = new ArgumentApplicationParser(
+      Source
+        .fromInputStream(
+          getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/pangaea/pangaea_to_dataset.json")
+        )
+        .mkString
+    )
     parser.parseArgument(args)
 
-
     val spark: SparkSession =
       SparkSession
         .builder()
         .config(conf)
         .appName(SparkGeneratePanagaeaDataset.getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
+        .master(parser.get("master"))
+        .getOrCreate()
 
     parser.getObjectMap.asScala.foreach(s => logger.info(s"${s._1} -> ${s._2}"))
     logger.info("Converting sequential file into Dataset")
@@ -34,16 +39,20 @@ object SparkGeneratePanagaeaDataset {
 
     implicit val pangaeaEncoders: Encoder[PangaeaDataModel] = Encoders.kryo[PangaeaDataModel]
 
-    val inputRDD: RDD[PangaeaDataModel] = sc.textFile(s"$workingPath/update").map(s => PangaeaUtils.toDataset(s))
+    val inputRDD: RDD[PangaeaDataModel] =
+      sc.textFile(s"$workingPath/update").map(s => PangaeaUtils.toDataset(s))
 
-    spark.createDataset(inputRDD).as[PangaeaDataModel]
+    spark
+      .createDataset(inputRDD)
+      .as[PangaeaDataModel]
       .map(s => (s.identifier, s))(Encoders.tuple(Encoders.STRING, pangaeaEncoders))
       .groupByKey(_._1)(Encoders.STRING)
       .agg(PangaeaUtils.getDatasetAggregator().toColumn)
       .map(s => s._2)
-      .write.mode(SaveMode.Overwrite).save(s"$workingPath/dataset")
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"$workingPath/dataset")
 
   }
 
-
 }

dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestApply.scala

@@ -9,10 +9,10 @@ import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
 import org.junit.jupiter.api.Assertions.{assertEquals, assertTrue}
 import org.junit.jupiter.api.Test
 
-class TestApply extends java.io.Serializable{
+class TestApply extends java.io.Serializable {
 
   @Test
-  def testApplyOnResult (): Unit = {
+  def testApplyOnResult(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -25,54 +25,104 @@ class TestApply extends java.io.Serializable{
     val pub = getClass.getResource("publication.json").getPath
     val hbm = getClass.getResource("preparedInfo.json").getPath
 
-    val mapper:ObjectMapper = new ObjectMapper()
+    val mapper: ObjectMapper = new ObjectMapper()
 
     implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
     implicit val mapEncoderPubInfo: Encoder[Publication] = Encoders.bean(classOf[Publication])
 
-
+    val pub_ds: Dataset[Publication] =
-    val pub_ds :Dataset[Publication] = spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[Publication]))
+      spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[Publication]))
-    val hbm_ds :Dataset[EntityInfo] = spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
+    val hbm_ds: Dataset[EntityInfo] =
-
+      spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
 
     assertEquals(13, pub_ds.count())
 
-    val ds:Dataset[Publication] = SparkApplyHostedByMapToResult.applyHBtoPubs(hbm_ds, pub_ds)
+    val ds: Dataset[Publication] = SparkApplyHostedByMapToResult.applyHBtoPubs(hbm_ds, pub_ds)
 
-    assertEquals(13,  ds.count)
+    assertEquals(13, ds.count)
 
-    val temp: Dataset[(Publication, Publication)] = pub_ds.joinWith(ds, pub_ds.col("id").equalTo(ds.col("id")), "left")
+    val temp: Dataset[(Publication, Publication)] =
+      pub_ds.joinWith(ds, pub_ds.col("id").equalTo(ds.col("id")), "left")
     assertEquals(13, temp.count())
     temp.foreach(t2 => {
-      val pb : Publication = t2._1
+      val pb: Publication = t2._1
-      val pa : Publication = t2._2
+      val pa: Publication = t2._2
       assertEquals(1, pa.getInstance().size())
       assertEquals(1, pb.getInstance().size())
       assertTrue(t2._1.getId.equals(t2._2.getId))
-      if(pb.getId.equals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9")){
+      if (pb.getId.equals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9")) {
-        assertTrue(pa.getInstance().get(0).getHostedby.getKey.equals("10|issn___print::e4b6d6d978f67520f6f37679a98c5735"))
+        assertTrue(
+          pa.getInstance()
+            .get(0)
+            .getHostedby
+            .getKey
+            .equals("10|issn___print::e4b6d6d978f67520f6f37679a98c5735")
+        )
         assertTrue(pa.getInstance().get(0).getHostedby.getValue.equals("Academic Therapy"))
         assertTrue(pa.getInstance().get(0).getAccessright.getClassid.equals("OPEN"))
         assertTrue(pa.getInstance().get(0).getAccessright.getClassname.equals("Open Access"))
-        assertTrue(pa.getInstance().get(0).getAccessright.getOpenAccessRoute.equals(OpenAccessRoute.gold))
+        assertTrue(
+          pa.getInstance().get(0).getAccessright.getOpenAccessRoute.equals(OpenAccessRoute.gold)
+        )
         assertTrue(pa.getBestaccessright.getClassid.equals("OPEN"))
         assertTrue(pa.getBestaccessright.getClassname.equals("Open Access"))
 
-
+        assertTrue(
-        assertTrue(pb.getInstance().get(0).getHostedby.getKey.equals("10|openaire____::0b74b6a356bbf23c245f9ae9a748745c"))
+          pb.getInstance()
-        assertTrue(pb.getInstance().get(0).getHostedby.getValue.equals("Revistas de investigación Universidad Nacional Mayor de San Marcos"))
+            .get(0)
+            .getHostedby
+            .getKey
+            .equals("10|openaire____::0b74b6a356bbf23c245f9ae9a748745c")
+        )
+        assertTrue(
+          pb.getInstance()
+            .get(0)
+            .getHostedby
+            .getValue
+            .equals("Revistas de investigación Universidad Nacional Mayor de San Marcos")
+        )
         assertTrue(pb.getInstance().get(0).getAccessright.getClassname.equals("not available"))
         assertTrue(pb.getInstance().get(0).getAccessright.getClassid.equals("UNKNOWN"))
         assertTrue(pb.getInstance().get(0).getAccessright.getOpenAccessRoute == null)
         assertTrue(pb.getBestaccessright.getClassid.equals("UNKNOWN"))
         assertTrue(pb.getBestaccessright.getClassname.equals("not available"))
 
-      }else{
+      } else {
-        assertTrue(pa.getInstance().get(0).getHostedby.getKey.equals(pb.getInstance().get(0).getHostedby.getKey))
+        assertTrue(
-        assertTrue(pa.getInstance().get(0).getHostedby.getValue.equals(pb.getInstance().get(0).getHostedby.getValue))
+          pa.getInstance()
-        assertTrue(pa.getInstance().get(0).getAccessright.getClassid.equals(pb.getInstance().get(0).getAccessright.getClassid))
+            .get(0)
-        assertTrue(pa.getInstance().get(0).getAccessright.getClassname.equals(pb.getInstance().get(0).getAccessright.getClassname))
+            .getHostedby
-        assertTrue(pa.getInstance().get(0).getAccessright.getOpenAccessRoute == pb.getInstance().get(0).getAccessright.getOpenAccessRoute)
+            .getKey
+            .equals(pb.getInstance().get(0).getHostedby.getKey)
+        )
+        assertTrue(
+          pa.getInstance()
+            .get(0)
+            .getHostedby
+            .getValue
+            .equals(pb.getInstance().get(0).getHostedby.getValue)
+        )
+        assertTrue(
+          pa.getInstance()
+            .get(0)
+            .getAccessright
+            .getClassid
+            .equals(pb.getInstance().get(0).getAccessright.getClassid)
+        )
+        assertTrue(
+          pa.getInstance()
+            .get(0)
+            .getAccessright
+            .getClassname
+            .equals(pb.getInstance().get(0).getAccessright.getClassname)
+        )
+        assertTrue(
+          pa.getInstance().get(0).getAccessright.getOpenAccessRoute == pb
+            .getInstance()
+            .get(0)
+            .getAccessright
+            .getOpenAccessRoute
+        )
 
       }
     })
@@ -80,9 +130,8 @@ class TestApply extends java.io.Serializable{
     spark.close()
   }
 
-
   @Test
-  def testApplyOnDatasource():Unit = {
+  def testApplyOnDatasource(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -95,38 +144,49 @@ class TestApply extends java.io.Serializable{
     val dats = getClass.getResource("datasource.json").getPath
     val hbm = getClass.getResource("preparedInfo2.json").getPath
 
-    val mapper:ObjectMapper = new ObjectMapper()
+    val mapper: ObjectMapper = new ObjectMapper()
 
     implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
     implicit val mapEncoderPubInfo: Encoder[Datasource] = Encoders.bean(classOf[Datasource])
 
-
+    val dats_ds: Dataset[Datasource] =
-    val dats_ds :Dataset[Datasource] = spark.read.textFile(dats).map(p => mapper.readValue(p, classOf[Datasource]))
+      spark.read.textFile(dats).map(p => mapper.readValue(p, classOf[Datasource]))
-    val hbm_ds :Dataset[EntityInfo] = Aggregators.datasourceToSingleId(spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo])))
+    val hbm_ds: Dataset[EntityInfo] = Aggregators.datasourceToSingleId(
-
+      spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
+    )
 
     assertEquals(10, dats_ds.count())
 
-    val ds:Dataset[Datasource] = SparkApplyHostedByMapToDatasource.applyHBtoDats(hbm_ds, dats_ds)
+    val ds: Dataset[Datasource] = SparkApplyHostedByMapToDatasource.applyHBtoDats(hbm_ds, dats_ds)
 
-    assertEquals(10,  ds.count)
+    assertEquals(10, ds.count)
 
-    val temp: Dataset[(Datasource, Datasource)] = dats_ds.joinWith(ds, dats_ds.col("id").equalTo(ds.col("id")), "left")
+    val temp: Dataset[(Datasource, Datasource)] =
+      dats_ds.joinWith(ds, dats_ds.col("id").equalTo(ds.col("id")), "left")
     assertEquals(10, temp.count())
     temp.foreach(t2 => {
-      val pb : Datasource = t2._1
+      val pb: Datasource = t2._1
-      val pa : Datasource = t2._2
+      val pa: Datasource = t2._2
       assertTrue(t2._1.getId.equals(t2._2.getId))
-      if(pb.getId.equals("10|doajarticles::0ab37b7620eb9a73ac95d3ca4320c97d")) {
+      if (pb.getId.equals("10|doajarticles::0ab37b7620eb9a73ac95d3ca4320c97d")) {
         assertTrue(pa.getOpenairecompatibility().getClassid.equals("hostedBy"))
-        assertTrue(pa.getOpenairecompatibility().getClassname.equals("collected from a compatible aggregator"))
+        assertTrue(
+          pa.getOpenairecompatibility()
+            .getClassname
+            .equals("collected from a compatible aggregator")
+        )
 
         assertTrue(pb.getOpenairecompatibility().getClassid.equals(ModelConstants.UNKNOWN))
 
-
       } else {
-        assertTrue(pa.getOpenairecompatibility().getClassid.equals(pb.getOpenairecompatibility.getClassid))
+        assertTrue(
-        assertTrue(pa.getOpenairecompatibility().getClassname.equals(pb.getOpenairecompatibility.getClassname))
+          pa.getOpenairecompatibility().getClassid.equals(pb.getOpenairecompatibility.getClassid)
+        )
+        assertTrue(
+          pa.getOpenairecompatibility()
+            .getClassname
+            .equals(pb.getOpenairecompatibility.getClassname)
+        )
 
       }
     })

dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala

@@ -9,9 +9,9 @@ import org.json4s.DefaultFormats
 import org.junit.jupiter.api.Assertions.{assertEquals, assertTrue}
 import org.junit.jupiter.api.Test
 
-class TestPrepare extends java.io.Serializable{
+class TestPrepare extends java.io.Serializable {
 
-  def getString(input:HostedByItemType):String = {
+  def getString(input: HostedByItemType): String = {
 
     import org.json4s.jackson.Serialization.write
     implicit val formats = DefaultFormats
@@ -19,9 +19,8 @@ class TestPrepare extends java.io.Serializable{
     write(input)
   }
 
-
   @Test
-  def testHostedByMaptoEntityInfo() : Unit = {
+  def testHostedByMaptoEntityInfo(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -33,23 +32,23 @@ class TestPrepare extends java.io.Serializable{
         .getOrCreate()
     val hbm = getClass.getResource("hostedbymap.json").getPath
 
-
     import spark.implicits._
 
-    val mapper:ObjectMapper = new ObjectMapper()
+    val mapper: ObjectMapper = new ObjectMapper()
 
     implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
 
-    val ds :Dataset[EntityInfo] = spark.createDataset(spark.sparkContext.textFile(hbm)).map(toEntityInfo)
+    val ds: Dataset[EntityInfo] =
+      spark.createDataset(spark.sparkContext.textFile(hbm)).map(toEntityInfo)
 
     ds.foreach(e => println(mapper.writeValueAsString(e)))
 
-    assertEquals(20,  ds.count)
+    assertEquals(20, ds.count)
     spark.close()
   }
 
   @Test
-  def testPublicationtoEntityInfo() : Unit = {
+  def testPublicationtoEntityInfo(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -61,24 +60,30 @@ class TestPrepare extends java.io.Serializable{
         .getOrCreate()
     val path = getClass.getResource("publication.json").getPath
 
-    val mapper:ObjectMapper = new ObjectMapper()
+    val mapper: ObjectMapper = new ObjectMapper()
 
     implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
 
-    val ds :Dataset[EntityInfo] = prepareResultInfo(spark, path)
+    val ds: Dataset[EntityInfo] = prepareResultInfo(spark, path)
 
     ds.foreach(e => println(mapper.writeValueAsString(e)))
 
-    assertEquals(2,  ds.count)
+    assertEquals(2, ds.count)
 
-    assertEquals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9", ds.filter(ei => ei.getJournalId.equals("1728-5852")).first().getId)
+    assertEquals(
-    assertEquals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9", ds.filter(ei => ei.getJournalId.equals("0001-396X")).first().getId)
+      "50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9",
+      ds.filter(ei => ei.getJournalId.equals("1728-5852")).first().getId
+    )
+    assertEquals(
+      "50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9",
+      ds.filter(ei => ei.getJournalId.equals("0001-396X")).first().getId
+    )
 
     spark.close()
   }
 
   @Test
-  def testJoinResHBM (): Unit = {
+  def testJoinResHBM(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -91,18 +96,20 @@ class TestPrepare extends java.io.Serializable{
     val pub = getClass.getResource("iteminfofrompublication").getPath
     val hbm = getClass.getResource("iteminfofromhostedbymap.json").getPath
 
-    val mapper:ObjectMapper = new ObjectMapper()
+    val mapper: ObjectMapper = new ObjectMapper()
 
     implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
 
-    val pub_ds :Dataset[EntityInfo] = spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[EntityInfo]))
+    val pub_ds: Dataset[EntityInfo] =
-    val hbm_ds :Dataset[EntityInfo] = spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
+      spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[EntityInfo]))
+    val hbm_ds: Dataset[EntityInfo] =
+      spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
 
     val ds: Dataset[EntityInfo] = joinResHBM(pub_ds, hbm_ds)
 
-    assertEquals(1,  ds.count)
+    assertEquals(1, ds.count)
 
-    val ei:EntityInfo = ds.first()
+    val ei: EntityInfo = ds.first()
 
     assertEquals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9", ei.getId)
     assertEquals("10|issn___print::e4b6d6d978f67520f6f37679a98c5735", ei.getHostedById)
@@ -114,7 +121,7 @@ class TestPrepare extends java.io.Serializable{
   }
 
   @Test
-  def testJoinResHBM2 (): Unit = {
+  def testJoinResHBM2(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -127,18 +134,20 @@ class TestPrepare extends java.io.Serializable{
     val pub = getClass.getResource("iteminfofrompublication2").getPath
     val hbm = getClass.getResource("iteminfofromhostedbymap2.json").getPath
 
-    val mapper:ObjectMapper = new ObjectMapper()
+    val mapper: ObjectMapper = new ObjectMapper()
 
     implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
 
-    val pub_ds :Dataset[EntityInfo] = spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[EntityInfo]))
+    val pub_ds: Dataset[EntityInfo] =
-    val hbm_ds :Dataset[EntityInfo] = spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
+      spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[EntityInfo]))
+    val hbm_ds: Dataset[EntityInfo] =
+      spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
 
     val ds: Dataset[EntityInfo] = joinResHBM(pub_ds, hbm_ds)
 
-    assertEquals(1,  ds.count)
+    assertEquals(1, ds.count)
 
-    val ei:EntityInfo = ds.first()
+    val ei: EntityInfo = ds.first()
 
     assertEquals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9", ei.getId)
     assertEquals("10|issn___print::e4b6d6d978f67520f6f37679a98c5735", ei.getHostedById)
@@ -150,6 +159,4 @@ class TestPrepare extends java.io.Serializable{
     spark.close()
   }
 
-
-
 }

dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala

@@ -8,20 +8,19 @@ import org.json4s.jackson.Serialization.write
 import org.junit.jupiter.api.Assertions._
 import org.junit.jupiter.api.Test
 
-class TestPreprocess extends java.io.Serializable{
+class TestPreprocess extends java.io.Serializable {
 
   implicit val mapEncoderDats: Encoder[Datasource] = Encoders.kryo[Datasource]
   implicit val schema = Encoders.product[HostedByInfo]
 
-
+  def toHBIString(hbi: HostedByItemType): String = {
-  def toHBIString (hbi:HostedByItemType): String = {
     implicit val formats = DefaultFormats
 
     write(hbi)
   }
 
   @Test
-  def readDatasource():Unit = {
+  def readDatasource(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -33,29 +32,40 @@ class TestPreprocess extends java.io.Serializable{
         .getOrCreate()
     val path = getClass.getResource("datasource.json").getPath
 
-    val ds :Dataset[HostedByItemType]= SparkProduceHostedByMap.oaHostedByDataset(spark, path)
+    val ds: Dataset[HostedByItemType] = SparkProduceHostedByMap.oaHostedByDataset(spark, path)
 
-    assertEquals(9,  ds.count)
+    assertEquals(9, ds.count)
 
     assertEquals(8, ds.filter(hbi => !hbi.issn.equals("")).count)
     assertEquals(5, ds.filter(hbi => !hbi.eissn.equals("")).count)
     assertEquals(0, ds.filter(hbi => !hbi.lissn.equals("")).count)
 
-    assertEquals(0, ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count)
+    assertEquals(
+      0,
+      ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count
+    )
 
     assertTrue(ds.filter(hbi => hbi.issn.equals("0212-8365")).count == 1)
     assertTrue(ds.filter(hbi => hbi.eissn.equals("2253-900X")).count == 1)
-    assertTrue(ds.filter(hbi => hbi.issn.equals("0212-8365") && hbi.eissn.equals("2253-900X")).count == 1)
+    assertTrue(
-    assertTrue(ds.filter(hbi => hbi.issn.equals("0212-8365") && hbi.officialname.equals("Thémata")).count == 1)
+      ds.filter(hbi => hbi.issn.equals("0212-8365") && hbi.eissn.equals("2253-900X")).count == 1
-    assertTrue(ds.filter(hbi => hbi.issn.equals("0212-8365") && hbi.id.equals("10|doajarticles::abbc9265bea9ff62776a1c39785af00c")).count == 1)
+    )
+    assertTrue(
+      ds.filter(hbi => hbi.issn.equals("0212-8365") && hbi.officialname.equals("Thémata")).count == 1
+    )
+    assertTrue(
+      ds.filter(hbi =>
+        hbi.issn.equals("0212-8365") && hbi.id
+          .equals("10|doajarticles::abbc9265bea9ff62776a1c39785af00c")
+      ).count == 1
+    )
     ds.foreach(hbi => assertTrue(hbi.id.startsWith("10|")))
     ds.foreach(hbi => println(toHBIString(hbi)))
     spark.close()
   }
 
-
   @Test
-  def readGold():Unit = {
+  def readGold(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -67,8 +77,7 @@ class TestPreprocess extends java.io.Serializable{
         .getOrCreate()
     val path = getClass.getResource("unibi_transformed.json").getPath
 
-
+    val ds: Dataset[HostedByItemType] = SparkProduceHostedByMap.goldHostedByDataset(spark, path)
-    val ds :Dataset[HostedByItemType]= SparkProduceHostedByMap.goldHostedByDataset(spark, path)
 
     assertEquals(29, ds.count)
 
@@ -76,9 +85,17 @@ class TestPreprocess extends java.io.Serializable{
     assertEquals(0, ds.filter(hbi => !hbi.eissn.equals("")).count)
     assertEquals(29, ds.filter(hbi => !hbi.lissn.equals("")).count)
 
-    assertEquals(0, ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count)
+    assertEquals(
+      0,
+      ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count
+    )
 
-    assertTrue(ds.filter(hbi => hbi.issn.equals("2239-6101")).first().officialname.equals("European journal of sustainable development."))
+    assertTrue(
+      ds.filter(hbi => hbi.issn.equals("2239-6101"))
+        .first()
+        .officialname
+        .equals("European journal of sustainable development.")
+    )
     assertTrue(ds.filter(hbi => hbi.issn.equals("2239-6101")).first().lissn.equals("2239-5938"))
     assertTrue(ds.filter(hbi => hbi.issn.equals("2239-6101")).count == 1)
     ds.foreach(hbi => assertTrue(hbi.id.equals(Constants.UNIBI)))
@@ -88,7 +105,7 @@ class TestPreprocess extends java.io.Serializable{
   }
 
   @Test
-  def readDoaj():Unit = {
+  def readDoaj(): Unit = {
     val conf = new SparkConf()
     conf.setMaster("local[*]")
     conf.set("spark.driver.host", "localhost")
@@ -100,7 +117,7 @@ class TestPreprocess extends java.io.Serializable{
         .getOrCreate()
     val path = getClass.getResource("doaj_transformed.json").getPath
 
-    val ds :Dataset[HostedByItemType]= SparkProduceHostedByMap.doajHostedByDataset(spark, path)
+    val ds: Dataset[HostedByItemType] = SparkProduceHostedByMap.doajHostedByDataset(spark, path)
 
     assertEquals(25, ds.count)
 
@@ -108,9 +125,17 @@ class TestPreprocess extends java.io.Serializable{
     assertEquals(21, ds.filter(hbi => !hbi.eissn.equals("")).count)
     assertEquals(0, ds.filter(hbi => !hbi.lissn.equals("")).count)
 
-    assertEquals(0, ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count)
+    assertEquals(
+      0,
+      ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count
+    )
 
-    assertTrue(ds.filter(hbi => hbi.issn.equals("2077-3099")).first().officialname.equals("Journal of Space Technology"))
+    assertTrue(
+      ds.filter(hbi => hbi.issn.equals("2077-3099"))
+        .first()
+        .officialname
+        .equals("Journal of Space Technology")
+    )
     assertTrue(ds.filter(hbi => hbi.issn.equals("2077-3099")).first().eissn.equals("2411-5029"))
     assertTrue(ds.filter(hbi => hbi.issn.equals("2077-3099")).count == 1)
     assertTrue(ds.filter(hbi => hbi.eissn.equals("2077-2955")).first().issn.equals(""))
@@ -121,7 +146,7 @@ class TestPreprocess extends java.io.Serializable{
   }
 
   @Test
-  def testAggregator() : Unit = {
+  def testAggregator(): Unit = {
 
     val conf = new SparkConf()
     conf.setMaster("local[*]")
@@ -133,22 +158,40 @@ class TestPreprocess extends java.io.Serializable{
         .config(conf)
         .getOrCreate()
 
-
+    val tmp = SparkProduceHostedByMap
-    val tmp = SparkProduceHostedByMap.oaHostedByDataset(spark, getClass.getResource("datasource.json").getPath)
+      .oaHostedByDataset(spark, getClass.getResource("datasource.json").getPath)
-      .union(SparkProduceHostedByMap.goldHostedByDataset(spark,getClass.getResource("unibi_transformed.json").getPath))
+      .union(
-      .union(SparkProduceHostedByMap.doajHostedByDataset(spark, getClass.getResource("doaj_transformed.json").getPath))
+        SparkProduceHostedByMap
-      .flatMap(hbi => SparkProduceHostedByMap.toList(hbi))(Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType]))
+          .goldHostedByDataset(spark, getClass.getResource("unibi_transformed.json").getPath)
+      )
+      .union(
+        SparkProduceHostedByMap
+          .doajHostedByDataset(spark, getClass.getResource("doaj_transformed.json").getPath)
+      )
+      .flatMap(hbi => SparkProduceHostedByMap.toList(hbi))(
+        Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])
+      )
 
     assertEquals(106, tmp.count)
     assertEquals(82, tmp.map(i => i._1)(Encoders.STRING).distinct().count)
 
+    val ds: Dataset[(String, HostedByItemType)] = Aggregators.explodeHostedByItemType(
+      SparkProduceHostedByMap
+        .oaHostedByDataset(spark, getClass.getResource("datasource.json").getPath)
+        .union(
+          SparkProduceHostedByMap
+            .goldHostedByDataset(spark, getClass.getResource("unibi_transformed.json").getPath)
+        )
+        .union(
+          SparkProduceHostedByMap
+            .doajHostedByDataset(spark, getClass.getResource("doaj_transformed.json").getPath)
+        )
+        .flatMap(hbi => SparkProduceHostedByMap.toList(hbi))(
+          Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])
+        )
+    )
 
-    val ds :Dataset[(String, HostedByItemType)] = Aggregators.explodeHostedByItemType(SparkProduceHostedByMap.oaHostedByDataset(spark, getClass.getResource("datasource.json").getPath)
+    assertEquals(82, ds.count)
-      .union(SparkProduceHostedByMap.goldHostedByDataset(spark,getClass.getResource("unibi_transformed.json").getPath))
-      .union(SparkProduceHostedByMap.doajHostedByDataset(spark, getClass.getResource("doaj_transformed.json").getPath))
-      .flatMap(hbi => SparkProduceHostedByMap.toList(hbi))(Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])))
-
-    assertEquals(82,  ds.count)
 
     assertEquals(13, ds.filter(i => i._2.id.startsWith("10|")).count)
 
@@ -156,14 +199,13 @@ class TestPreprocess extends java.io.Serializable{
     assertTrue(ds.filter(i => i._1.equals("2077-3757")).first()._2.openAccess)
     assertEquals(1, ds.filter(i => i._1.equals("2077-3757")).count)
 
-    val hbmap : Dataset[String] = ds.filter(hbi => hbi._2.id.startsWith("10|")).map(SparkProduceHostedByMap.toHostedByMap)(Encoders.STRING)
+    val hbmap: Dataset[String] = ds
+      .filter(hbi => hbi._2.id.startsWith("10|"))
+      .map(SparkProduceHostedByMap.toHostedByMap)(Encoders.STRING)
 
     hbmap.foreach(entry => println(entry))
     spark.close()
 
   }
 
-
-
-
 }

dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/resolution/ResolveEntitiesTest.scala

@@ -1,6 +1,5 @@
 package eu.dnetlib.dhp.oa.graph.resolution
 
-
 import com.fasterxml.jackson.databind.ObjectMapper
 import eu.dnetlib.dhp.schema.common.EntityType
 import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
@@ -19,174 +18,225 @@ import scala.io.Source
 @TestInstance(Lifecycle.PER_CLASS)
 class ResolveEntitiesTest extends Serializable {
 
-  var workingDir:Path = null
+  var workingDir: Path = null
 
   val FAKE_TITLE = "FAKETITLE"
   val FAKE_SUBJECT = "FAKESUBJECT"
 
-  var sparkSession:Option[SparkSession] = None
+  var sparkSession: Option[SparkSession] = None
-
 
   @BeforeAll
-  def setUp() :Unit = {
+  def setUp(): Unit = {
     workingDir = Files.createTempDirectory(getClass.getSimpleName)
 
     val conf = new SparkConf()
-    sparkSession = Some(SparkSession
+    sparkSession = Some(
-      .builder()
+      SparkSession
-      .config(conf)
+        .builder()
-      .appName(getClass.getSimpleName)
+        .config(conf)
-      .master("local[*]").getOrCreate())
+        .appName(getClass.getSimpleName)
+        .master("local[*]")
+        .getOrCreate()
+    )
     populateDatasets(sparkSession.get)
     generateUpdates(sparkSession.get)
 
   }
 
-
   @AfterAll
-  def tearDown():Unit = {
+  def tearDown(): Unit = {
     FileUtils.deleteDirectory(workingDir.toFile)
     sparkSession.get.stop()
 
-
   }
 
-
+  def generateUpdates(spark: SparkSession): Unit = {
-  def generateUpdates(spark:SparkSession):Unit = {
     val template = Source.fromInputStream(this.getClass.getResourceAsStream("updates")).mkString
 
+    val pids: List[String] = template.lines
+      .map { id =>
+        val r = new Result
+        r.setId(id.toLowerCase.trim)
+        r.setSubject(
+          List(
+            OafMapperUtils.structuredProperty(
+              FAKE_SUBJECT,
+              OafMapperUtils.qualifier("fos", "fosCS", "fossSchema", "fossiFIgo"),
+              null
+            )
+          ).asJava
+        )
+        r.setTitle(
+          List(
+            OafMapperUtils.structuredProperty(
+              FAKE_TITLE,
+              OafMapperUtils.qualifier("fos", "fosCS", "fossSchema", "fossiFIgo"),
+              null
+            )
+          ).asJava
+        )
+        r
+      }
+      .map { r =>
+        val mapper = new ObjectMapper()
 
-    val pids:List[String] = template.lines.map{id =>
+        mapper.writeValueAsString(r)
-      val r = new Result
+      }
-      r.setId(id.toLowerCase.trim)
+      .toList
-      r.setSubject(List(OafMapperUtils.structuredProperty(FAKE_SUBJECT, OafMapperUtils.qualifier("fos","fosCS", "fossSchema", "fossiFIgo"), null)).asJava)
-      r.setTitle(List(OafMapperUtils.structuredProperty(FAKE_TITLE, OafMapperUtils.qualifier("fos","fosCS", "fossSchema", "fossiFIgo"), null)).asJava)
-      r
-    }.map{r =>
-      val mapper = new ObjectMapper()
 
-      mapper.writeValueAsString(r)}.toList
+    val sc = spark.sparkContext
-
-
-    val sc =spark.sparkContext
 
     println(sc.parallelize(pids).count())
 
-    spark.createDataset(sc.parallelize(pids))(Encoders.STRING).write.mode(SaveMode.Overwrite).option("compression", "gzip").text(s"$workingDir/updates")
+    spark
-
+      .createDataset(sc.parallelize(pids))(Encoders.STRING)
-
+      .write
-
+      .mode(SaveMode.Overwrite)
-
+      .option("compression", "gzip")
+      .text(s"$workingDir/updates")
 
     import spark.implicits._
     implicit val resEncoder: Encoder[Result] = Encoders.bean(classOf[Result])
-    val ds = spark.read.text(s"$workingDir/updates").as[String].map{s => val mapper = new ObjectMapper()
+    val ds = spark.read
-     mapper.readValue(s, classOf[Result])}.collect()
+      .text(s"$workingDir/updates")
-
+      .as[String]
-
+      .map { s =>
-
+        val mapper = new ObjectMapper()
+        mapper.readValue(s, classOf[Result])
+      }
+      .collect()
 
     assertEquals(4, ds.length)
-    ds.foreach{r => assertNotNull(r.getSubject)}
+    ds.foreach { r => assertNotNull(r.getSubject) }
-    ds.foreach{r => assertEquals(1,r.getSubject.size())}
+    ds.foreach { r => assertEquals(1, r.getSubject.size()) }
-    ds.foreach{r => assertNotNull(r.getTitle)}
+    ds.foreach { r => assertNotNull(r.getTitle) }
-    ds.foreach{r => assertEquals(1,r.getTitle.size())}
+    ds.foreach { r => assertEquals(1, r.getTitle.size()) }
 
-
+    ds.flatMap(r => r.getTitle.asScala.map(t => t.getValue))
-
+      .foreach(t => assertEquals(FAKE_TITLE, t))
-    ds.flatMap(r => r.getTitle.asScala.map(t => t.getValue)).foreach(t => assertEquals(FAKE_TITLE,t))
+    ds.flatMap(r => r.getSubject.asScala.map(t => t.getValue))
-    ds.flatMap(r => r.getSubject.asScala.map(t => t.getValue)).foreach(t => assertEquals(FAKE_SUBJECT,t))
+      .foreach(t => assertEquals(FAKE_SUBJECT, t))
 
     println("generated Updates")
   }
 
-
+  def populateDatasets(spark: SparkSession): Unit = {
-  def populateDatasets(spark:SparkSession):Unit = {
     import spark.implicits._
-    val entities =SparkResolveEntities.entities
+    val entities = SparkResolveEntities.entities
 
-    entities.foreach{
+    entities.foreach { e =>
-      e =>
+      val template = Source.fromInputStream(this.getClass.getResourceAsStream(s"$e")).mkString
-        val template = Source.fromInputStream(this.getClass.getResourceAsStream(s"$e")).mkString
+      spark
-        spark.createDataset(spark.sparkContext.parallelize(template.lines.toList)).as[String].write.option("compression", "gzip").text(s"$workingDir/graph/$e")
+        .createDataset(spark.sparkContext.parallelize(template.lines.toList))
-        println(s"Created Dataset $e")
+        .as[String]
+        .write
+        .option("compression", "gzip")
+        .text(s"$workingDir/graph/$e")
+      println(s"Created Dataset $e")
     }
-    SparkResolveRelation.extractPidResolvedTableFromJsonRDD(spark, s"$workingDir/graph", s"$workingDir/work")
+    SparkResolveRelation.extractPidResolvedTableFromJsonRDD(
+      spark,
+      s"$workingDir/graph",
+      s"$workingDir/work"
+    )
 
   }
 
-
   @Test
-  def testResolution():Unit = {
+  def testResolution(): Unit = {
-    val spark:SparkSession = sparkSession.get
+    val spark: SparkSession = sparkSession.get
     implicit val resEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
-    SparkResolveEntities.resolveEntities(spark,s"$workingDir/work", s"$workingDir/updates" )
+    SparkResolveEntities.resolveEntities(spark, s"$workingDir/work", s"$workingDir/updates")
 
     val ds = spark.read.load(s"$workingDir/work/resolvedEntities").as[Result]
 
     assertEquals(3, ds.count())
 
-    ds.collect().foreach{
+    ds.collect().foreach { r =>
-      r =>
       assertTrue(r.getId.startsWith("50"))
     }
   }
 
-
+  private def structuredPContainsValue(
-
+    l: java.util.List[StructuredProperty],
-
+    exptectedValue: String
-  private def structuredPContainsValue(l:java.util.List[StructuredProperty], exptectedValue:String):Boolean = {
+  ): Boolean = {
-    l.asScala.exists(p =>p.getValue!= null && p.getValue.equalsIgnoreCase(exptectedValue))
+    l.asScala.exists(p => p.getValue != null && p.getValue.equalsIgnoreCase(exptectedValue))
   }
 
   @Test
-  def testUpdate():Unit = {
+  def testUpdate(): Unit = {
-    val spark:SparkSession = sparkSession.get
+    val spark: SparkSession = sparkSession.get
     import spark.implicits._
     implicit val resEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
     val m = new ObjectMapper()
-    SparkResolveEntities.resolveEntities(spark,s"$workingDir/work", s"$workingDir/updates" )
+    SparkResolveEntities.resolveEntities(spark, s"$workingDir/work", s"$workingDir/updates")
-    SparkResolveEntities.generateResolvedEntities(spark,s"$workingDir/work",s"$workingDir/graph", s"$workingDir/target" )
+    SparkResolveEntities.generateResolvedEntities(
-
+      spark,
-
+      s"$workingDir/work",
-
+      s"$workingDir/graph",
-    val pubDS:Dataset[Result] = spark.read.text(s"$workingDir/target/publication").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.publication))
+      s"$workingDir/target"
-    val t  = pubDS.filter(p => p.getTitle!=null && p.getSubject!=null).filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE"))).count()
+    )
 
+    val pubDS: Dataset[Result] = spark.read
+      .text(s"$workingDir/target/publication")
+      .as[String]
+      .map(s => SparkResolveEntities.deserializeObject(s, EntityType.publication))
+    val t = pubDS
+      .filter(p => p.getTitle != null && p.getSubject != null)
+      .filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE")))
+      .count()
 
     var ct = pubDS.count()
-    var et = pubDS.filter(p => p.getTitle!= null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty)).count()
+    var et = pubDS
+      .filter(p => p.getTitle != null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty))
+      .count()
 
     assertEquals(ct, et)
 
-
+    val datDS: Dataset[Result] = spark.read
-
+      .text(s"$workingDir/target/dataset")
-    val datDS:Dataset[Result] = spark.read.text(s"$workingDir/target/dataset").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.dataset))
+      .as[String]
-    val td  = datDS.filter(p => p.getTitle!=null && p.getSubject!=null).filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE"))).count()
+      .map(s => SparkResolveEntities.deserializeObject(s, EntityType.dataset))
+    val td = datDS
+      .filter(p => p.getTitle != null && p.getSubject != null)
+      .filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE")))
+      .count()
     ct = datDS.count()
-    et = datDS.filter(p => p.getTitle!= null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty)).count()
+    et = datDS
+      .filter(p => p.getTitle != null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty))
+      .count()
     assertEquals(ct, et)
 
-
+    val softDS: Dataset[Result] = spark.read
-    val softDS:Dataset[Result] = spark.read.text(s"$workingDir/target/software").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.software))
+      .text(s"$workingDir/target/software")
-    val ts  = softDS.filter(p => p.getTitle!=null && p.getSubject!=null).filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE"))).count()
+      .as[String]
+      .map(s => SparkResolveEntities.deserializeObject(s, EntityType.software))
+    val ts = softDS
+      .filter(p => p.getTitle != null && p.getSubject != null)
+      .filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE")))
+      .count()
     ct = softDS.count()
-    et = softDS.filter(p => p.getTitle!= null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty)).count()
+    et = softDS
+      .filter(p => p.getTitle != null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty))
+      .count()
     assertEquals(ct, et)
 
-
+    val orpDS: Dataset[Result] = spark.read
-    val orpDS:Dataset[Result] = spark.read.text(s"$workingDir/target/otherresearchproduct").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.otherresearchproduct))
+      .text(s"$workingDir/target/otherresearchproduct")
-    val to  = orpDS.filter(p => p.getTitle!=null && p.getSubject!=null).filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE"))).count()
+      .as[String]
-
+      .map(s => SparkResolveEntities.deserializeObject(s, EntityType.otherresearchproduct))
+    val to = orpDS
+      .filter(p => p.getTitle != null && p.getSubject != null)
+      .filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE")))
+      .count()
 
     ct = orpDS.count()
-    et = orpDS.filter(p => p.getTitle!= null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty)).count()
+    et = orpDS
+      .filter(p => p.getTitle != null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty))
+      .count()
     assertEquals(ct, et)
 
-
-
-
-
     assertEquals(0, t)
     assertEquals(2, td)
     assertEquals(1, ts)
@@ -194,40 +244,35 @@ class ResolveEntitiesTest extends Serializable {
 
   }
 
-
-
-
-
   @Test
-  def testMerge():Unit = {
+  def testMerge(): Unit = {
 
     val r = new Result
-    r.setSubject(List(OafMapperUtils.structuredProperty(FAKE_SUBJECT, OafMapperUtils.qualifier("fos","fosCS", "fossSchema", "fossiFIgo"), null)).asJava)
+    r.setSubject(
+      List(
+        OafMapperUtils.structuredProperty(
+          FAKE_SUBJECT,
+          OafMapperUtils.qualifier("fos", "fosCS", "fossSchema", "fossiFIgo"),
+          null
+        )
+      ).asJava
+    )
 
     val mapper = new ObjectMapper()
 
-    val p = mapper.readValue(Source.fromInputStream(this.getClass.getResourceAsStream(s"publication")).mkString.lines.next(), classOf[Publication])
+    val p = mapper.readValue(
-
+      Source
+        .fromInputStream(this.getClass.getResourceAsStream(s"publication"))
+        .mkString
+        .lines
+        .next(),
+      classOf[Publication]
+    )
 
     r.mergeFrom(p)
 
-
     println(mapper.writeValueAsString(r))
 
-
-
-
-
-
-
-
   }
 
-
-
-
-
-
-
-
 }

dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/sx/graph/RetrieveDataciteDeltaTest.scala

@@ -1,26 +1,20 @@
 package eu.dnetlib.dhp.sx.graph
+
 import org.junit.jupiter.api.Test
 
 import java.text.SimpleDateFormat
 
-
-
 class RetrieveDataciteDeltaTest {
 
   @Test
   def testParsingDate(): Unit = {
 
-
     val inputDate = "2021-12-02T11:17:36+0000"
 
     val t = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssZ").parse(inputDate).getTime
 
-
     println(t)
 
-
-
   }
 
-
 }

dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/sx/graph/scholix/ScholixGraphTest.scala

@@ -18,37 +18,40 @@ import scala.collection.JavaConverters._
 import scala.io.Source
 
 @ExtendWith(Array(classOf[MockitoExtension]))
-class ScholixGraphTest extends AbstractVocabularyTest{
+class ScholixGraphTest extends AbstractVocabularyTest {
-
 
   val mapper: ObjectMapper = new ObjectMapper().enable(SerializationFeature.INDENT_OUTPUT)
-  mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES,false)
+  mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false)
 
   @BeforeEach
-  def setUp() :Unit = {
+  def setUp(): Unit = {
 
     super.setUpVocabulary()
   }
 
-
   @Test
-  def testExtractPids():Unit = {
+  def testExtractPids(): Unit = {
 
-    val input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/scholix/result.json")).mkString
+    val input = Source
-    val res =SparkResolveRelation.extractPidsFromRecord(input)
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/scholix/result.json"))
+      .mkString
+    val res = SparkResolveRelation.extractPidsFromRecord(input)
     assertNotNull(res)
 
-    assertEquals(1,res._2.size)
+    assertEquals(1, res._2.size)
 
   }
 
   @Test
-  def testOAFToSummary():Unit= {
+  def testOAFToSummary(): Unit = {
-    val inputRelations = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/oaf_to_summary")).mkString
+    val inputRelations = Source
+      .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/oaf_to_summary"))
+      .mkString
     val items = inputRelations.lines.toList
     assertNotNull(items)
-    items.foreach(i =>assertTrue(i.nonEmpty))
+    items.foreach(i => assertTrue(i.nonEmpty))
-    val result = items.map(r => mapper.readValue(r, classOf[Result])).map(i => ScholixUtils.resultToSummary(i))
+    val result =
+      items.map(r => mapper.readValue(r, classOf[Result])).map(i => ScholixUtils.resultToSummary(i))
 
     assertNotNull(result)
 
@@ -59,37 +62,41 @@ class ScholixGraphTest extends AbstractVocabularyTest{
 
   }
 
-
-
   @Test
-  def testScholixMergeOnSource():Unit = {
+  def testScholixMergeOnSource(): Unit = {
-    val inputRelations = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/merge_result_scholix")).mkString
+    val inputRelations = Source
-    val result:List[(Relation,ScholixSummary)] =inputRelations.lines.sliding(2).map(s => (s.head, s(1))).map(p => (mapper.readValue(p._1, classOf[Relation]),mapper.readValue(p._2, classOf[ScholixSummary]) )).toList
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/merge_result_scholix")
+      )
+      .mkString
+    val result: List[(Relation, ScholixSummary)] = inputRelations.lines
+      .sliding(2)
+      .map(s => (s.head, s(1)))
+      .map(p => (mapper.readValue(p._1, classOf[Relation]), mapper.readValue(p._2, classOf[ScholixSummary])))
+      .toList
     assertNotNull(result)
     assertTrue(result.nonEmpty)
     result.foreach(r => assertEquals(r._1.getSource, r._2.getId))
-    val scholix:List[Scholix] = result.map(r => ScholixUtils.scholixFromSource(r._1, r._2))
+    val scholix: List[Scholix] = result.map(r => ScholixUtils.scholixFromSource(r._1, r._2))
     println(mapper.writeValueAsString(scholix.head))
   }
 
-
-
-
   @Test
   def testScholixRelationshipsClean(): Unit = {
-    val inputRelations = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/relation_transform.json")).mkString
+    val inputRelations = Source
+      .fromInputStream(
+        getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/relation_transform.json")
+      )
+      .mkString
     implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
 
     lazy val json: json4s.JValue = parse(inputRelations)
-    val l:List[String] =json.extract[List[String]]
+    val l: List[String] = json.extract[List[String]]
     assertNotNull(l)
     assertTrue(l.nonEmpty)
-    val relVocbaulary =ScholixUtils.relations
+    val relVocbaulary = ScholixUtils.relations
-    l.foreach(r =>  assertTrue(relVocbaulary.contains(r.toLowerCase)))
+    l.foreach(r => assertTrue(relVocbaulary.contains(r.toLowerCase)))
 
   }
 
-
-
-
 }

pom.xml

@@ -620,6 +620,18 @@
 						</dependency>
 					</dependencies>
 				</plugin>
+				<plugin>
+					<groupId>org.antipathy</groupId>
+					<artifactId>mvn-scalafmt_2.11</artifactId>
+					<version>1.0.1640073709.733712b</version>
+					<dependencies>
+						<dependency>
+							<groupId>eu.dnetlib.dhp</groupId>
+							<artifactId>dhp-code-style</artifactId>
+							<version>${project.version}</version>
+						</dependency>
+					</dependencies>
+				</plugin>
 			</plugins>
 		</pluginManagement>
 		<plugins>
@@ -665,6 +677,33 @@
 					</execution>
 				</executions>
 			</plugin>
+			<plugin>
+				<groupId>org.antipathy</groupId>
+				<artifactId>mvn-scalafmt_2.11</artifactId>
+				<configuration>
+					<configLocation>dhp-build/dhp-code-style/src/main/resources/scalafmt/scalafmt.conf</configLocation>
+					<skipTestSources>false</skipTestSources>
+					<skipSources>false</skipSources>
+					<sourceDirectories>
+						<param>${project.basedir}/src/main/scala</param>
+					</sourceDirectories>
+					<testSourceDirectories>
+						<param>${project.basedir}/src/test/scala</param>
+					</testSourceDirectories>
+					<validateOnly>false</validateOnly>
+					<onlyChangedFiles>false</onlyChangedFiles>
+					<branch>: git rev-parse --abbrev-ref HEAD</branch>
+					<useSpecifiedRepositories>false</useSpecifiedRepositories>
+				</configuration>
+				<executions>
+					<execution>
+						<phase>validate</phase>
+						<goals>
+							<goal>format</goal>
+						</goals>
+					</execution>
+				</executions>
+			</plugin>
 			<plugin>
 				<groupId>org.apache.maven.plugins</groupId>
 				<artifactId>maven-release-plugin</artifactId>