Merge branch 'beta' of https://code-repo.d4science.org/D-Net/dnet-hadoop into beta

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

@@ -12,7 +12,7 @@ import org.json4s.jackson.JsonMethods.parse
 import scala.collection.JavaConverters._
 import scala.io.Source
 
-object ScholixUtils {
+object ScholixUtils extends Serializable {
 
 
   val DNET_IDENTIFIER_SCHEMA: String = "DNET Identifier"
@@ -24,7 +24,7 @@ object ScholixUtils {
   case class RelatedEntities(id: String, relatedDataset: Long, relatedPublication: Long) {}
 
   val relations: Map[String, RelationVocabulary] = {
-    val input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/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)
@@ -53,8 +53,6 @@ object ScholixUtils {
     else {
       summary.getDate.get(0)
     }
-
-
   }
 
   def inverseRelationShip(rel: ScholixRelationship): ScholixRelationship = {
@@ -64,11 +62,15 @@ object ScholixUtils {
   }
 
 
+  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
 
     override def reduce(b: RelatedEntities, a: (String, String, Long)): RelatedEntities = {
-      val id = a._1
       val relatedDataset = if ("dataset".equalsIgnoreCase(a._2)) a._3 else 0
       val relatedPublication = if ("publication".equalsIgnoreCase(a._2)) a._3 else 0
 
@@ -142,6 +144,14 @@ object ScholixUtils {
 
   }
 
+  def extractCollectedFrom(summary: ScholixResource): List[ScholixEntityId] = {
+    if (summary.getCollectedFrom != null && !summary.getCollectedFrom.isEmpty) {
+      val l: List[ScholixEntityId] = summary.getCollectedFrom.asScala.map {
+        d => new ScholixEntityId(d.getProvider.getName, d.getProvider.getIdentifiers)
+      }(collection.breakOut)
+      l
+    } else List()
+  }
 
   def extractCollectedFrom(summary: ScholixSummary): List[ScholixEntityId] = {
     if (summary.getDatasources != null && !summary.getDatasources.isEmpty) {
@@ -160,7 +170,7 @@ object ScholixUtils {
         c =>
 
           new ScholixEntityId(c.getValue, List(new ScholixIdentifier(c.getKey, DNET_IDENTIFIER_SCHEMA, null)).asJava)
-      }(collection breakOut)
+      }.toList
       l
     } else List()
   }
@@ -179,6 +189,19 @@ object ScholixUtils {
   }
 
 
+  def generateCompleteScholix(scholix: Scholix, target: ScholixResource): Scholix = {
+    val s = new Scholix
+    s.setPublicationDate(scholix.getPublicationDate)
+    s.setPublisher(scholix.getPublisher)
+    s.setLinkprovider(scholix.getLinkprovider)
+    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
+  }
+
+
   def generateScholixResourceFromSummary(summaryObject: ScholixSummary): ScholixResource = {
     val r = new ScholixResource
     r.setIdentifier(summaryObject.getLocalIdentifier)
@@ -222,6 +245,38 @@ object ScholixUtils {
   }
 
 
+
+  def scholixFromSource(relation: Relation, source: ScholixResource):Scholix = {
+    if (relation == null || source == null)
+      return null
+    val s = new Scholix
+    var l: List[ScholixEntityId] = extractCollectedFrom(relation)
+    if (l.isEmpty)
+      l = extractCollectedFrom(source)
+    if (l.isEmpty)
+      return null
+    s.setLinkprovider(l.asJava)
+    var d = extractRelationDate(relation)
+    if (d == null)
+      d = source.getPublicationDate
+
+    s.setPublicationDate(d)
+
+
+    if (source.getPublisher != null && !source.getPublisher.isEmpty) {
+      s.setPublisher(source.getPublisher)
+    }
+
+    val semanticRelation = relations.getOrElse(relation.getRelClass.toLowerCase, null)
+    if (semanticRelation == null)
+      return null
+    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)
@@ -303,7 +358,7 @@ object ScholixUtils {
     s.setSubType(r.getInstance().get(0).getInstancetype.getClassname)
 
     if (r.getTitle != null && r.getTitle.asScala.nonEmpty) {
-      val titles: List[String] = r.getTitle.asScala.map(t => t.getValue)(collection breakOut)
+      val titles: List[String] = r.getTitle.asScala.map(t => t.getValue).toList
       if (titles.nonEmpty)
         s.setTitle(titles.asJava)
       else
@@ -311,12 +366,12 @@ object ScholixUtils {
     }
 
     if (r.getAuthor != null && !r.getAuthor.isEmpty) {
-      val authors: List[String] = r.getAuthor.asScala.map(a => a.getFullname)(collection breakOut)
+      val authors: List[String] = r.getAuthor.asScala.map(a => a.getFullname).toList
-      if (authors nonEmpty)
+      if (authors.nonEmpty)
         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)(collection.breakOut)
+      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)
     }
@@ -327,7 +382,7 @@ object ScholixUtils {
     }
 
     if (r.getSubject != null && !r.getSubject.isEmpty) {
-      val subjects: List[SchemeValue] = r.getSubject.asScala.map(s => new SchemeValue(s.getQualifier.getClassname, s.getValue))(collection breakOut)
+      val subjects: List[SchemeValue] = r.getSubject.asScala.map(s => new SchemeValue(s.getQualifier.getClassname, s.getValue)).toList
       if (subjects.nonEmpty)
         s.setSubject(subjects.asJava)
     }
@@ -336,7 +391,7 @@ object ScholixUtils {
       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"))(collection breakOut)
+      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/resources/eu/dnetlib/dhp/sx/graph/datacite/oozie_app/config-default.xml

@@ -0,0 +1,19 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+
+</configuration>

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/sx/graph/datacite/oozie_app/workflow.xml

@@ -0,0 +1,62 @@
+<workflow-app name="Retrieve Scholix Update" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>sourcePath</name>
+            <description>the source path of scholix graph</description>
+        </property>
+        <property>
+            <name>datacitePath</name>
+            <description>the datacite native path</description>
+        </property>
+        <property>
+            <name>workingSupportPath</name>
+            <description>the working Support path</description>
+        </property>
+        <property>
+            <name>isLookupUrl</name>
+            <description>The IS lookUp service endopoint</description>
+        </property>
+        <property>
+            <name>updateDS</name>
+            <value>false</value>
+            <description>The transformation Rule to apply</description>
+        </property>
+    </parameters>
+
+    <start to="RetrieveDeltaDatacite"/>
+
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+    <action name="RetrieveDeltaDatacite">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>New Update from Datacite to Scholix</name>
+            <class>eu.dnetlib.dhp.sx.graph.SparkRetrieveDataciteDelta</class>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.shuffle.partitions=6000
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${sourcePath}</arg>
+            <arg>--datacitePath</arg><arg>${datacitePath}</arg>
+            <arg>--master</arg><arg>yarn</arg>
+            <arg>--workingSupportPath</arg><arg>${workingSupportPath}</arg>
+            <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
+            <arg>--updateDS</arg><arg>${updateDS}</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+    <end name="End"/>
+
+</workflow-app>

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/sx/graph/retrieve_datacite_delta_params.json

@@ -0,0 +1,41 @@
+[
+  {
+    "paramName": "s",
+    "paramLongName": "sourcePath",
+    "paramDescription": "the source mdstore path",
+    "paramRequired": true
+  },
+
+  {
+    "paramName": "d",
+    "paramLongName": "datacitePath",
+    "paramDescription": "the datacite native path",
+    "paramRequired": true
+  },
+
+  {
+    "paramName": "w",
+    "paramLongName": "workingSupportPath",
+    "paramDescription": "the working Support path",
+    "paramRequired": true
+  },
+  {
+    "paramName": "i",
+    "paramLongName": "isLookupUrl",
+    "paramDescription": "the isLookup URL",
+    "paramRequired": true
+  },
+  {
+    "paramName": "m",
+    "paramLongName": "master",
+    "paramDescription": "the master name",
+    "paramRequired": true
+  },
+  {
+    "paramName": "u",
+    "paramLongName": "updateDS",
+    "paramDescription": "Need to regenerate all support Dataset",
+    "paramRequired": false
+  }
+
+]

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

@@ -0,0 +1,305 @@
+package eu.dnetlib.dhp.sx.graph
+
+import eu.dnetlib.dhp.application.AbstractScalaApplication
+import eu.dnetlib.dhp.collection.CollectionUtils.fixRelations
+import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
+import eu.dnetlib.dhp.datacite.{DataciteToOAFTransformation, DataciteType}
+import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
+import eu.dnetlib.dhp.schema.sx.scholix.{Scholix, ScholixResource}
+import eu.dnetlib.dhp.schema.sx.summary.ScholixSummary
+import eu.dnetlib.dhp.sx.graph.scholix.ScholixUtils
+import eu.dnetlib.dhp.utils.{DHPUtils, ISLookupClientFactory}
+import org.apache.hadoop.fs.{FileSystem, Path}
+import org.apache.spark.sql.functions.max
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+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) {
+
+  val ISO_DATE_PATTERN = "yyyy-MM-dd'T'HH:mm:ssZ"
+  val simpleFormatter = new SimpleDateFormat(ISO_DATE_PATTERN)
+
+  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 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"
+
+
+  /**
+   * 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 should be called before indexing scholexplorer to retrieve
+   * the delta of Datacite record to download, since from the generation of
+   * raw graph to the generation of Scholexplorer sometimes it takes 20 days
+   * @param spark
+   * @param entitiesPath
+   * @return the last collection date from the current scholexplorer Graph of the datacite records
+   */
+  def retrieveLastCollectedFrom(spark:SparkSession, entitiesPath:String):Long = {
+    log.info("Retrieve last entities collected From")
+
+    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val resultEncoder:Encoder[Result] = Encoders.kryo[Result]
+    import spark.implicits._
+
+    val entitiesDS = spark.read.load(s"$entitiesPath/*").as[Oaf].filter(o =>o.isInstanceOf[Result]).map(r => r.asInstanceOf[Result])
+
+    val date = entitiesDS.filter(r => r.getDateofcollection!= null).map(_.getDateofcollection).select(max("value")).first.getString(0)
+
+    ISO8601toEpochMillis(date) / 1000
+  }
+
+
+  /**
+   * The method of update Datacite relationships on Scholexplorer
+   * needs some utilities data structures
+   * One is the scholixResource DS that stores all the nodes in the Scholix Graph
+   * in format ScholixResource
+   * @param summaryPath the path of the summary in Scholix
+   * @param workingPath the working path
+   * @param spark the spark session
+   */
+  def generateScholixResource(summaryPath:String, workingPath: String, spark:SparkSession) :Unit = {
+    implicit val summaryEncoder:Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary]
+    implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
+
+    log.info("Convert All summary to ScholixResource")
+    spark.read.load(summaryPath).as[ScholixSummary]
+      .map(ScholixUtils.generateScholixResourceFromSummary)(scholixResourceEncoder)
+      .filter(r => r.getIdentifier!= null && r.getIdentifier.size>0)
+      .write.mode(SaveMode.Overwrite).save(s"${scholixResourcePath(workingPath)}_native")
+  }
+
+  /**
+   * This method convert the new Datacite Resource into Scholix Resource
+   * Needed to fill the source and the type of Scholix Relationships
+   * @param workingPath the Working Path
+   * @param spark The spark Session
+   */
+  def addMissingScholixResource(workingPath:String, spark:SparkSession ) :Unit = {
+    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
+    implicit val resultEncoder:Encoder[Result] = Encoders.kryo[Result]
+    import spark.implicits._
+
+    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)
+      .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"${scholixResourcePath(workingPath)}_native").as[ScholixResource]
+    val graph = update.union(native)
+      .groupByKey(_.getDnetIdentifier)
+      .reduceGroups((a,b) => if (a!= null && a.getDnetIdentifier!= null) a else  b)
+      .map(_._2)
+    graph.write.mode(SaveMode.Overwrite).save(s"${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(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]
+    val total = ds.filter(_.timestamp>=timestamp).count()
+    if (total >0) {
+      ds.filter(_.timestamp >= timestamp)
+        .flatMap(d => DataciteToOAFTransformation.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
+   * to intersected with the new Datacite Relations
+
+   * @param workingPath The working Path starting from save the new Map
+   * @param spark the spark session
+   */
+  def generatePidMap(workingPath:String, spark:SparkSession ) :Unit = {
+    implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
+    import spark.implicits._
+    spark.read.load(s"${scholixResourcePath(workingPath)}_graph").as[ScholixResource]
+      .flatMap(r=>
+                  r.getIdentifier.asScala
+                                      .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)
+      .map(_._2)(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .write.mode(SaveMode.Overwrite).save(pidMapPath(workingPath))
+  }
+
+  /**
+   * This method resolve the datacite relation and filter the resolved
+   * relation
+   * @param workingPath the working path
+   * @param spark the spark session
+   */
+
+  def resolveUpdateRelation(workingPath:String, spark:SparkSession) :Unit = {
+    implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val relationEncoder:Encoder[Relation] = Encoders.kryo[Relation]
+    import spark.implicits._
+
+    val pidMap = spark.read.load(pidMapPath(workingPath)).as[(String,String)]
+
+    val unresolvedRelations:Dataset[(String,Relation)] = spark.read.load(dataciteOAFPath(workingPath)).as[Oaf]
+      .filter(_.isInstanceOf[Relation])
+      .map(_.asInstanceOf[Relation])
+      .map { r =>
+        if (r.getSource.startsWith("unresolved"))
+          (r.getSource, r)
+        else
+          (r.getTarget, r)
+      }(Encoders.tuple(Encoders.STRING, relationEncoder))
+
+    unresolvedRelations
+      .joinWith(pidMap, unresolvedRelations("_1").equalTo(pidMap("_1")))
+      .map(t => {
+        val r =t._1._2
+        val resolvedIdentifier = t._2._2
+        if (r.getSource.startsWith("unresolved"))
+          r.setSource(resolvedIdentifier)
+        else
+          r.setTarget(resolvedIdentifier)
+        r
+      })(relationEncoder)
+      .filter(r => !(r.getSource.startsWith("unresolved") || r.getTarget.startsWith("unresolved") ))
+      .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.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")
+    .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)]
+
+    source_scholix.joinWith(id_summary, source_scholix("_1").equalTo(id_summary("_1")),"inner")
+      .map(t => {
+        val target:ScholixResource =t._2._2
+        val scholix:Scholix = t._1._2
+        ScholixUtils.generateCompleteScholix(scholix,target)
+      })(scholixEncoder).write.mode(SaveMode.Overwrite).save(s"$workingPath/scholix")
+  }
+
+
+
+
+
+  /**
+   * Here all the spark applications runs this method
+   * where the whole logic of the spark node is defined
+   */
+  override def run(): Unit = {
+    val sourcePath = parser.get("sourcePath")
+    log.info(s"SourcePath is '$sourcePath'")
+
+    val datacitePath = parser.get("datacitePath")
+    log.info(s"DatacitePath is '$datacitePath'")
+
+    val workingPath  = parser.get("workingSupportPath")
+    log.info(s"workingPath is '$workingPath'")
+
+    val isLookupUrl: String = parser.get("isLookupUrl")
+    log.info("isLookupUrl: {}", isLookupUrl)
+
+    val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
+    val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
+    require(vocabularies != null)
+
+
+    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"$sourcePath/entities")
+    }
+    else {
+      val fs = FileSystem.get(spark.sparkContext.hadoopConfiguration)
+      fs.delete(new Path(s"${scholixResourcePath(workingPath)}_native"), true)
+      fs.rename(new Path(s"${scholixResourcePath(workingPath)}_graph"), new Path(s"${scholixResourcePath(workingPath)}_native"))
+      lastCollectionDate  = retrieveLastCollectedFrom(spark, dataciteOAFPath(workingPath))
+    }
+
+    val numRecords = getDataciteUpdate(datacitePath, lastCollectionDate, workingPath, spark, vocabularies)
+    if (numRecords>0) {
+      addMissingScholixResource(workingPath,spark)
+      generatePidMap(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()
+  }
+}

dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/resulttoorganizationfromsemrel/PrepareInfo.java

@@ -33,13 +33,14 @@ public class PrepareInfo implements Serializable {
 	private static final Logger log = LoggerFactory.getLogger(PrepareInfo.class);
 
 	// associate orgs with all their parent
-	private static final String ORGANIZATION_ORGANIZATION_QUERY = "SELECT target key, collect_set(source) as valueSet " +
+	private static final String ORGANIZATION_ORGANIZATION_QUERY = "SELECT target key, collect_set(source) as valueSet "
+		+
 		"FROM relation " +
 		"WHERE lower(relclass) = '" + ModelConstants.IS_PARENT_OF.toLowerCase() +
 		"' and datainfo.deletedbyinference = false " +
 		"GROUP BY target";
 
-	//associates results with all the orgs they are affiliated to
+	// associates results with all the orgs they are affiliated to
 	private static final String RESULT_ORGANIZATION_QUERY = "SELECT source key, collect_set(target) as valueSet " +
 		"FROM relation " +
 		"WHERE lower(relclass) = '" + ModelConstants.HAS_AUTHOR_INSTITUTION.toLowerCase() +
@@ -118,7 +119,7 @@ public class PrepareInfo implements Serializable {
 					r.getRelClass().equals(ModelConstants.HAS_AUTHOR_INSTITUTION))
 			.write()
 			.mode(SaveMode.Overwrite)
-				.option("compression","gzip")
+			.option("compression", "gzip")
 			.json(relationPath);
 
 		Dataset<String> children = spark

dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/resulttoorganizationfromsemrel/SparkResultToOrganizationFromSemRel.java

@@ -2,7 +2,6 @@
 package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
 
 import static eu.dnetlib.dhp.PropagationConstant.*;
-
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
 
 import java.io.Serializable;
@@ -22,13 +21,11 @@ import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
 import eu.dnetlib.dhp.KeyValueSet;
-
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob;
 import eu.dnetlib.dhp.schema.common.ModelConstants;
 import eu.dnetlib.dhp.schema.oaf.Relation;
 
-
 public class SparkResultToOrganizationFromSemRel implements Serializable {
 	private static final Logger log = LoggerFactory.getLogger(SparkResultToOrganizationFromSemRel.class);
 	private static final int MAX_ITERATION = 5;
@@ -201,6 +198,4 @@ public class SparkResultToOrganizationFromSemRel implements Serializable {
 			.json(outputPath);
 	}
 
-
-
 }

dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/resulttoorganizationfromsemrel/StepActions.java

@@ -179,7 +179,6 @@ public class StepActions implements Serializable {
 					"GROUP BY resId")
 			.as(Encoders.bean(KeyValueSet.class));
 
-
 		// create new relations from result to organization for each result linked to a leaf
 		return resultParent
 			.flatMap(
@@ -200,7 +199,6 @@ public class StepActions implements Serializable {
 					.iterator(),
 				Encoders.bean(Relation.class));
 
-
 	}
 
 }

dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/resulttoorganizationfromsemrel/PrepareInfoJobTest.java

@@ -335,7 +335,7 @@ public class PrepareInfoJobTest {
 	}
 
 	@Test
-	public void relationTest()throws Exception {
+	public void relationTest() throws Exception {
 
 		PrepareInfo
 			.main(
@@ -363,6 +363,7 @@ public class PrepareInfoJobTest {
 		Assertions.assertEquals(7, verificationDs.count());
 
 	}
+
 	@Test
 	public void resultOrganizationTest1() throws Exception {
 

dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/convert_object_json_params.json

@@ -1,6 +1,7 @@
 [
   {"paramName":"mt",  "paramLongName":"master",     "paramDescription": "should be local or yarn",                "paramRequired": true},
   {"paramName":"s",   "paramLongName":"sourcePath", "paramDescription": "the source Path",                        "paramRequired": true},
+  {"paramName":"su",   "paramLongName":"scholixUpdatePath", "paramDescription": "the scholix updated Path",       "paramRequired": false},
   {"paramName":"t",   "paramLongName":"targetPath", "paramDescription": "the path of the raw graph",              "paramRequired": true},
   {"paramName":"o",   "paramLongName":"objectType", "paramDescription": "should be scholix or Summary",           "paramRequired": true}
 ]

dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/finalGraph/oozie_app/workflow.xml

@@ -79,7 +79,7 @@
                 --executor-cores=${sparkExecutorCores}
                 --driver-memory=${sparkDriverMemory}
                 --conf spark.extraListeners=${spark2ExtraListeners}
-                --conf spark.sql.shuffle.partitions=20000
+                --conf spark.sql.shuffle.partitions=30000
                 --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
                 --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
                 --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
@@ -90,68 +90,6 @@
             <arg>--relationPath</arg><arg>${targetPath}/relation</arg>
 
         </spark>
-        <ok to="DropJSONPath"/>
-        <error to="Kill"/>
-    </action>
-
-    <action name="DropJSONPath">
-        <fs>
-            <delete path='${targetPath}/index'/>
-            <mkdir path='${targetPath}/index/'/>
-        </fs>
-        <ok to="SerializeScholix"/>
-        <error to="Kill"/>
-    </action>
-
-    <action name="SerializeScholix">
-        <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn</master>
-            <mode>cluster</mode>
-            <name>Serialize scholix to JSON</name>
-            <class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
-            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
-            <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
-                --conf spark.extraListeners=${spark2ExtraListeners}
-                --conf spark.sql.shuffle.partitions=6000
-                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
-                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
-                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
-            </spark-opts>
-            <arg>--master</arg><arg>yarn</arg>
-            <arg>--sourcePath</arg><arg>${targetPath}/provision/scholix/scholix</arg>
-            <arg>--targetPath</arg><arg>${targetPath}/index/scholix_json</arg>
-            <arg>--objectType</arg><arg>scholix</arg>
-
-        </spark>
-        <ok to="SerializeSummary"/>
-        <error to="Kill"/>
-    </action>
-
-    <action name="SerializeSummary">
-        <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn</master>
-            <mode>cluster</mode>
-            <name>Serialize summary to JSON</name>
-            <class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
-            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
-            <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
-                --conf spark.extraListeners=${spark2ExtraListeners}
-                --conf spark.sql.shuffle.partitions=6000
-                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
-                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
-                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
-            </spark-opts>
-            <arg>--master</arg><arg>yarn</arg>
-            <arg>--sourcePath</arg><arg>${targetPath}/provision/summaries_filtered</arg>
-            <arg>--targetPath</arg><arg>${targetPath}/index/summaries_json</arg>
-            <arg>--objectType</arg><arg>summary</arg>
-        </spark>
         <ok to="End"/>
         <error to="Kill"/>
     </action>

dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/relations.json

@@ -1,158 +0,0 @@
-{
-  "cites":{
-    "original":"Cites",
-    "inverse":"IsCitedBy"
-  },
-  "compiles":{
-    "original":"Compiles",
-    "inverse":"IsCompiledBy"
-  },
-  "continues":{
-    "original":"Continues",
-    "inverse":"IsContinuedBy"
-  },
-  "derives":{
-    "original":"IsSourceOf",
-    "inverse":"IsDerivedFrom"
-  },
-  "describes":{
-    "original":"Describes",
-    "inverse":"IsDescribedBy"
-  },
-  "documents":{
-    "original":"Documents",
-    "inverse":"IsDocumentedBy"
-  },
-  "hasmetadata":{
-    "original":"HasMetadata",
-    "inverse":"IsMetadataOf"
-  },
-  "hasassociationwith":{
-    "original":"HasAssociationWith",
-    "inverse":"HasAssociationWith"
-  },
-  "haspart":{
-    "original":"HasPart",
-    "inverse":"IsPartOf"
-  },
-  "hasversion":{
-    "original":"HasVersion",
-    "inverse":"IsVersionOf"
-  },
-  "iscitedby":{
-    "original":"IsCitedBy",
-    "inverse":"Cites"
-  },
-  "iscompiledby":{
-    "original":"IsCompiledBy",
-    "inverse":"Compiles"
-  },
-  "iscontinuedby":{
-    "original":"IsContinuedBy",
-    "inverse":"Continues"
-  },
-  "isderivedfrom":{
-    "original":"IsDerivedFrom",
-    "inverse":"IsSourceOf"
-  },
-  "isdescribedby":{
-    "original":"IsDescribedBy",
-    "inverse":"Describes"
-  },
-  "isdocumentedby":{
-    "original":"IsDocumentedBy",
-    "inverse":"Documents"
-  },
-  "isidenticalto":{
-    "original":"IsIdenticalTo",
-    "inverse":"IsIdenticalTo"
-  },
-  "ismetadatafor":{
-    "original":"IsMetadataFor",
-    "inverse":"IsMetadataOf"
-  },
-  "ismetadataof":{
-    "original":"IsMetadataOf",
-    "inverse":"IsMetadataFor"
-  },
-  "isnewversionof":{
-    "original":"IsNewVersionOf",
-    "inverse":"IsPreviousVersionOf"
-  },
-  "isobsoletedby":{
-    "original":"IsObsoletedBy",
-    "inverse":"Obsoletes"
-  },
-  "isoriginalformof":{
-    "original":"IsOriginalFormOf",
-    "inverse":"IsVariantFormOf"
-  },
-  "ispartof":{
-    "original":"IsPartOf",
-    "inverse":"HasPart"
-  },
-  "ispreviousversionof":{
-    "original":"IsPreviousVersionOf",
-    "inverse":"IsNewVersionOf"
-  },
-  "isreferencedby":{
-    "original":"IsReferencedBy",
-    "inverse":"References"
-  },
-  "isrelatedto":{
-    "original":"IsRelatedTo",
-    "inverse":"IsRelatedTo"
-  },
-  "isrequiredby":{
-    "original":"IsRequiredBy",
-    "inverse":"Requires"
-  },
-  "isreviewedby":{
-    "original":"IsReviewedBy",
-    "inverse":"Reviews"
-  },
-  "issourceof":{
-    "original":"IsSourceOf",
-    "inverse":"IsDerivedFrom"
-  },
-  "issupplementedby":{
-    "original":"IsSupplementedBy",
-    "inverse":"IsSupplementTo"
-  },
-  "issupplementto":{
-    "original":"IsSupplementTo",
-    "inverse":"IsSupplementedBy"
-  },
-  "isvariantformof":{
-    "original":"IsVariantFormOf",
-    "inverse":"IsOriginalFormOf"
-  },
-  "isversionof":{
-    "original":"IsVersionOf",
-    "inverse":"HasVersion"
-  },
-  "obsoletes":{
-    "original":"Obsoletes",
-    "inverse":"IsObsoletedBy"
-  },
-  "references":{
-    "original":"References",
-    "inverse":"IsReferencedBy"
-  },
-  "requires":{
-    "original":"Requires",
-    "inverse":"IsRequiredBy"
-  },
-  "related":{
-    "original":"IsRelatedTo",
-    "inverse":"IsRelatedTo"
-  },
-  "reviews":{
-    "original":"Reviews",
-    "inverse":"IsReviewedBy"
-  },
-  "unknown":{
-    "original":"Unknown",
-    "inverse":"Unknown"
-  }
-}

dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/serializeGraph/oozie_app/config-default.xml

@@ -0,0 +1,10 @@
+<configuration>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+</configuration>

dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/serializeGraph/oozie_app/workflow.xml

@@ -0,0 +1,83 @@
+<workflow-app name="Create Scholix final Graph" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>scholixUpdatePath</name>
+            <description>the working dir base path of the scholix updated</description>
+        </property>
+        <property>
+            <name>targetPath</name>
+            <description>the final graph path</description>
+        </property>
+    </parameters>
+
+    <start to="DropJSONPath"/>
+
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+
+    <action name="DropJSONPath">
+        <fs>
+            <delete path='${targetPath}/index'/>
+            <mkdir path='${targetPath}/index/'/>
+        </fs>
+        <ok to="SerializeScholix"/>
+        <error to="Kill"/>
+    </action>
+
+    <action name="SerializeScholix">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Serialize scholix to JSON</name>
+            <class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
+            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.shuffle.partitions=6000
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+            </spark-opts>
+            <arg>--master</arg><arg>yarn</arg>
+            <arg>--sourcePath</arg><arg>${targetPath}/provision/scholix/scholix</arg>
+            <arg>--targetPath</arg><arg>${targetPath}/index/scholix_json</arg>
+            <arg>--scholixUpdatePath</arg><arg>${scholixUpdatePath}</arg>
+            <arg>--objectType</arg><arg>scholix</arg>
+
+        </spark>
+        <ok to="SerializeSummary"/>
+        <error to="Kill"/>
+    </action>
+
+    <action name="SerializeSummary">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Serialize summary to JSON</name>
+            <class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
+            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.shuffle.partitions=6000
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+            </spark-opts>
+            <arg>--master</arg><arg>yarn</arg>
+            <arg>--sourcePath</arg><arg>${targetPath}/provision/summaries_filtered</arg>
+            <arg>--targetPath</arg><arg>${targetPath}/index/summaries_json</arg>
+            <arg>--objectType</arg><arg>summary</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+    <end name="End"/>
+</workflow-app>

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

@@ -30,6 +30,9 @@ object SparkConvertObjectToJson {
     log.info(s"targetPath  -> $targetPath")
     val objectType = parser.get("objectType")
     log.info(s"objectType  -> $objectType")
+    val scholixUpdatePath = parser.get("scholixUpdatePath")
+    log.info(s"scholixUpdatePath  -> $scholixUpdatePath")
+
 
 
     implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
@@ -42,7 +45,8 @@ object SparkConvertObjectToJson {
       case "scholix" =>
         log.info("Serialize Scholix")
         val d: Dataset[Scholix] = spark.read.load(sourcePath).as[Scholix]
-        d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(6000).saveAsTextFile(targetPath, classOf[GzipCodec])
+        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])
       case "summary" =>
         log.info("Serialize Summary")
         val d: Dataset[ScholixSummary] = spark.read.load(sourcePath).as[ScholixSummary]

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

@@ -2,12 +2,11 @@ package eu.dnetlib.dhp.sx.graph
 
 import com.fasterxml.jackson.databind.ObjectMapper
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.schema.oaf.{OtherResearchProduct, Publication, Relation, Software,Dataset => OafDataset}
+import eu.dnetlib.dhp.schema.oaf.{OtherResearchProduct, Publication, Relation, Result, Software, Dataset => OafDataset}
 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 = {
@@ -40,31 +39,32 @@ object SparkConvertRDDtoDataset {
 
 
     log.info("Converting dataset")
-    val rddDataset = spark.sparkContext.textFile(s"$sourcePath/dataset").map(s => mapper.readValue(s, classOf[OafDataset]))
+    val rddDataset =spark.sparkContext.textFile(s"$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"$sourcePath/publication").map(s => mapper.readValue(s, classOf[Publication]))
+    val rddPublication =spark.sparkContext.textFile(s"$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"$sourcePath/software").map(s => mapper.readValue(s, classOf[Software]))
+    val rddSoftware =spark.sparkContext.textFile(s"$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"$sourcePath/otherresearchproduct").map(s => mapper.readValue(s, classOf[OtherResearchProduct]))
+    val rddOtherResearchProduct =spark.sparkContext.textFile(s"$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")
+    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.getSource.startsWith("50") && r.getTarget.startsWith("50"))
+      .filter(r=> r.getDataInfo!= null && r.getDataInfo.getDeletedbyinference == false)
+      .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/test/scala/eu/dnetlib/dhp/sx/graph/RetrieveDataciteDeltaTest.scala

@@ -0,0 +1,26 @@
+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)
+
+
+
+  }
+
+
+}