conflicts resolved, merged from beta

.gitignore

@@ -3,8 +3,6 @@
 *.iws
 *.ipr
 *.iml
-*.ipr
-*.iws
 *~
 .vscode
 .metals

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/java/eu/dnetlib/dhp/application/SparkScalaApplication.scala

@@ -1,72 +0,0 @@
-package eu.dnetlib.dhp.application
-
-import scala.io.Source
-
-/**
- * This is the main Interface SparkApplication
- * where all the Spark Scala class should inherit
- *
- */
-trait SparkScalaApplication {
-  /**
-   * This is the path in the classpath of the json
-   * describes all the argument needed to run
-   */
-  val propertyPath: String
-
-  /**
-   * Utility to parse the arguments using the
-   * property json in the classpath identified from
-   * the variable propertyPath
-   *
-   * @param args the list of arguments
-   */
-  def parseArguments(args: Array[String]): ArgumentApplicationParser = {
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream(propertyPath)).mkString)
-    parser.parseArgument(args)
-    parser
-  }
-
-  /**
-   * Here all the spark applications runs this method
-   * 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 {
-
-  var parser: ArgumentApplicationParser = null
-
-  var spark:SparkSession = null
-
-
-  def initialize():SparkScalaApplication = {
-    parser = parseArguments(args)
-    spark = createSparkSession()
-    this
-  }
-
-  /**
-   * Utility for creating a spark session starting from parser
-   *
-   * @return a spark Session
-   */
-  private def createSparkSession():SparkSession = {
-    require(parser!= null)
-
-    val conf:SparkConf = new SparkConf()
-    val master = parser.get("master")
-    log.info(s"Creating Spark session: Master: $master")
-    SparkSession.builder().config(conf)
-      .appName(getClass.getSimpleName)
-      .master(master)
-      .getOrCreate()
-  }
-
-}

dhp-common/src/main/java/eu/dnetlib/dhp/common/GraphResultMapper.java

@@ -1,413 +0,0 @@
-
-package eu.dnetlib.dhp.common;
-
-import java.io.Serializable;
-import java.util.*;
-import java.util.stream.Collectors;
-
-import eu.dnetlib.dhp.schema.common.ModelConstants;
-import eu.dnetlib.dhp.schema.dump.oaf.*;
-import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityInstance;
-import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
-import eu.dnetlib.dhp.schema.oaf.DataInfo;
-import eu.dnetlib.dhp.schema.oaf.Field;
-import eu.dnetlib.dhp.schema.oaf.Journal;
-import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
-
-public class GraphResultMapper implements Serializable {
-
-	public static <E extends eu.dnetlib.dhp.schema.oaf.OafEntity> Result map(
-		E in) {
-
-		CommunityResult out = new CommunityResult();
-
-		eu.dnetlib.dhp.schema.oaf.Result input = (eu.dnetlib.dhp.schema.oaf.Result) in;
-		Optional<eu.dnetlib.dhp.schema.oaf.Qualifier> ort = Optional.ofNullable(input.getResulttype());
-		if (ort.isPresent()) {
-			switch (ort.get().getClassid()) {
-				case "publication":
-					Optional<Journal> journal = Optional
-						.ofNullable(((eu.dnetlib.dhp.schema.oaf.Publication) input).getJournal());
-					if (journal.isPresent()) {
-						Journal j = journal.get();
-						Container c = new Container();
-						c.setConferencedate(j.getConferencedate());
-						c.setConferenceplace(j.getConferenceplace());
-						c.setEdition(j.getEdition());
-						c.setEp(j.getEp());
-						c.setIss(j.getIss());
-						c.setIssnLinking(j.getIssnLinking());
-						c.setIssnOnline(j.getIssnOnline());
-						c.setIssnPrinted(j.getIssnPrinted());
-						c.setName(j.getName());
-						c.setSp(j.getSp());
-						c.setVol(j.getVol());
-						out.setContainer(c);
-						out.setType(ModelConstants.PUBLICATION_DEFAULT_RESULTTYPE.getClassname());
-					}
-					break;
-				case "dataset":
-					eu.dnetlib.dhp.schema.oaf.Dataset id = (eu.dnetlib.dhp.schema.oaf.Dataset) input;
-					Optional.ofNullable(id.getSize()).ifPresent(v -> out.setSize(v.getValue()));
-					Optional.ofNullable(id.getVersion()).ifPresent(v -> out.setVersion(v.getValue()));
-
-					out
-						.setGeolocation(
-							Optional
-								.ofNullable(id.getGeolocation())
-								.map(
-									igl -> igl
-										.stream()
-										.filter(Objects::nonNull)
-										.map(gli -> {
-											GeoLocation gl = new GeoLocation();
-											gl.setBox(gli.getBox());
-											gl.setPlace(gli.getPlace());
-											gl.setPoint(gli.getPoint());
-											return gl;
-										})
-										.collect(Collectors.toList()))
-								.orElse(null));
-
-					out.setType(ModelConstants.DATASET_DEFAULT_RESULTTYPE.getClassname());
-					break;
-				case "software":
-
-					eu.dnetlib.dhp.schema.oaf.Software is = (eu.dnetlib.dhp.schema.oaf.Software) input;
-					Optional
-						.ofNullable(is.getCodeRepositoryUrl())
-						.ifPresent(value -> out.setCodeRepositoryUrl(value.getValue()));
-					Optional
-						.ofNullable(is.getDocumentationUrl())
-						.ifPresent(
-							value -> out
-								.setDocumentationUrl(
-									value
-										.stream()
-										.map(Field::getValue)
-										.collect(Collectors.toList())));
-
-					Optional
-						.ofNullable(is.getProgrammingLanguage())
-						.ifPresent(value -> out.setProgrammingLanguage(value.getClassid()));
-
-					out.setType(ModelConstants.SOFTWARE_DEFAULT_RESULTTYPE.getClassname());
-					break;
-				case "other":
-
-					eu.dnetlib.dhp.schema.oaf.OtherResearchProduct ir = (eu.dnetlib.dhp.schema.oaf.OtherResearchProduct) input;
-					out
-						.setContactgroup(
-							Optional
-								.ofNullable(ir.getContactgroup())
-								.map(value -> value.stream().map(Field::getValue).collect(Collectors.toList()))
-								.orElse(null));
-
-					out
-						.setContactperson(
-							Optional
-								.ofNullable(ir.getContactperson())
-								.map(value -> value.stream().map(Field::getValue).collect(Collectors.toList()))
-								.orElse(null));
-					out
-						.setTool(
-							Optional
-								.ofNullable(ir.getTool())
-								.map(value -> value.stream().map(Field::getValue).collect(Collectors.toList()))
-								.orElse(null));
-
-					out.setType(ModelConstants.ORP_DEFAULT_RESULTTYPE.getClassname());
-
-					break;
-			}
-
-			Optional
-				.ofNullable(input.getAuthor())
-				.ifPresent(
-					ats -> out.setAuthor(ats.stream().map(GraphResultMapper::getAuthor).collect(Collectors.toList())));
-
-			// I do not map Access Right UNKNOWN or OTHER
-
-			Optional<eu.dnetlib.dhp.schema.oaf.Qualifier> oar = Optional.ofNullable(input.getBestaccessright());
-			if (oar.isPresent()) {
-				if (Constants.accessRightsCoarMap.containsKey(oar.get().getClassid())) {
-					String code = Constants.accessRightsCoarMap.get(oar.get().getClassid());
-					out
-						.setBestaccessright(
-							AccessRight
-								.newInstance(
-									code,
-									Constants.coarCodeLabelMap.get(code),
-									Constants.COAR_ACCESS_RIGHT_SCHEMA));
-				}
-			}
-
-			final List<String> contributorList = new ArrayList<>();
-			Optional
-				.ofNullable(input.getContributor())
-				.ifPresent(value -> value.stream().forEach(c -> contributorList.add(c.getValue())));
-			out.setContributor(contributorList);
-
-			Optional
-				.ofNullable(input.getCountry())
-				.ifPresent(
-					value -> out
-						.setCountry(
-							value
-								.stream()
-								.map(
-									c -> {
-										if (c.getClassid().equals((ModelConstants.UNKNOWN))) {
-											return null;
-										}
-										Country country = new Country();
-										country.setCode(c.getClassid());
-										country.setLabel(c.getClassname());
-										Optional
-											.ofNullable(c.getDataInfo())
-											.ifPresent(
-												provenance -> country
-													.setProvenance(
-														Provenance
-															.newInstance(
-																provenance
-																	.getProvenanceaction()
-																	.getClassname(),
-																c.getDataInfo().getTrust())));
-										return country;
-									})
-								.filter(Objects::nonNull)
-								.collect(Collectors.toList())));
-
-			final List<String> coverageList = new ArrayList<>();
-			Optional
-				.ofNullable(input.getCoverage())
-				.ifPresent(value -> value.stream().forEach(c -> coverageList.add(c.getValue())));
-			out.setCoverage(coverageList);
-
-			out.setDateofcollection(input.getDateofcollection());
-
-			final List<String> descriptionList = new ArrayList<>();
-			Optional
-				.ofNullable(input.getDescription())
-				.ifPresent(value -> value.forEach(d -> descriptionList.add(d.getValue())));
-			out.setDescription(descriptionList);
-			Optional<Field<String>> oStr = Optional.ofNullable(input.getEmbargoenddate());
-			if (oStr.isPresent()) {
-				out.setEmbargoenddate(oStr.get().getValue());
-			}
-
-			final List<String> formatList = new ArrayList<>();
-			Optional
-				.ofNullable(input.getFormat())
-				.ifPresent(value -> value.stream().forEach(f -> formatList.add(f.getValue())));
-			out.setFormat(formatList);
-			out.setId(input.getId());
-			out.setOriginalId(input.getOriginalId());
-
-			Optional<List<eu.dnetlib.dhp.schema.oaf.Instance>> oInst = Optional
-				.ofNullable(input.getInstance());
-
-			if (oInst.isPresent()) {
-				out
-					.setInstance(
-						oInst.get().stream().map(GraphResultMapper::getInstance).collect(Collectors.toList()));
-
-			}
-
-			Optional<eu.dnetlib.dhp.schema.oaf.Qualifier> oL = Optional.ofNullable(input.getLanguage());
-			if (oL.isPresent()) {
-				eu.dnetlib.dhp.schema.oaf.Qualifier language = oL.get();
-				out.setLanguage(Qualifier.newInstance(language.getClassid(), language.getClassname()));
-			}
-			Optional<Long> oLong = Optional.ofNullable(input.getLastupdatetimestamp());
-			if (oLong.isPresent()) {
-				out.setLastupdatetimestamp(oLong.get());
-			}
-			Optional<List<StructuredProperty>> otitle = Optional.ofNullable(input.getTitle());
-			if (otitle.isPresent()) {
-				List<StructuredProperty> iTitle = otitle
-					.get()
-					.stream()
-					.filter(t -> t.getQualifier().getClassid().equalsIgnoreCase("main title"))
-					.collect(Collectors.toList());
-				if (!iTitle.isEmpty()) {
-					out.setMaintitle(iTitle.get(0).getValue());
-				}
-
-				iTitle = otitle
-					.get()
-					.stream()
-					.filter(t -> t.getQualifier().getClassid().equalsIgnoreCase("subtitle"))
-					.collect(Collectors.toList());
-				if (!iTitle.isEmpty()) {
-					out.setSubtitle(iTitle.get(0).getValue());
-				}
-
-			}
-
-			List<ControlledField> pids = new ArrayList<>();
-			Optional
-				.ofNullable(input.getPid())
-				.ifPresent(
-					value -> value
-						.stream()
-						.forEach(
-							p -> pids
-								.add(
-									ControlledField
-										.newInstance(p.getQualifier().getClassid(), p.getValue()))));
-			out.setPid(pids);
-			oStr = Optional.ofNullable(input.getDateofacceptance());
-			if (oStr.isPresent()) {
-				out.setPublicationdate(oStr.get().getValue());
-			}
-			oStr = Optional.ofNullable(input.getPublisher());
-			if (oStr.isPresent()) {
-				out.setPublisher(oStr.get().getValue());
-			}
-
-			List<String> sourceList = new ArrayList<>();
-			Optional
-				.ofNullable(input.getSource())
-				.ifPresent(value -> value.stream().forEach(s -> sourceList.add(s.getValue())));
-			// out.setSource(input.getSource().stream().map(s -> s.getValue()).collect(Collectors.toList()));
-			List<Subject> subjectList = new ArrayList<>();
-			Optional
-				.ofNullable(input.getSubject())
-				.ifPresent(
-					value -> value
-						.forEach(s -> subjectList.add(getSubject(s))));
-
-			out.setSubjects(subjectList);
-
-			out.setType(input.getResulttype().getClassid());
-		}
-
-		out
-			.setCollectedfrom(
-				input
-					.getCollectedfrom()
-					.stream()
-					.map(cf -> KeyValue.newInstance(cf.getKey(), cf.getValue()))
-					.collect(Collectors.toList()));
-
-		return out;
-
-	}
-
-	private static CommunityInstance getInstance(eu.dnetlib.dhp.schema.oaf.Instance i) {
-		CommunityInstance instance = new CommunityInstance();
-
-		setCommonValue(i, instance);
-
-		instance
-			.setCollectedfrom(
-				KeyValue
-					.newInstance(i.getCollectedfrom().getKey(), i.getCollectedfrom().getValue()));
-
-		instance
-			.setHostedby(
-				KeyValue.newInstance(i.getHostedby().getKey(), i.getHostedby().getValue()));
-
-		return instance;
-
-	}
-
-	private static <I extends Instance> void setCommonValue(eu.dnetlib.dhp.schema.oaf.Instance i, I instance) {
-		Optional<eu.dnetlib.dhp.schema.oaf.Qualifier> opAr = Optional
-			.ofNullable(i.getAccessright());
-		if (opAr.isPresent()) {
-			if (Constants.accessRightsCoarMap.containsKey(opAr.get().getClassid())) {
-				String code = Constants.accessRightsCoarMap.get(opAr.get().getClassid());
-				instance
-					.setAccessright(
-						AccessRight
-							.newInstance(
-								code,
-								Constants.coarCodeLabelMap.get(code),
-								Constants.COAR_ACCESS_RIGHT_SCHEMA));
-			}
-		}
-
-		Optional
-			.ofNullable(i.getLicense())
-			.ifPresent(value -> instance.setLicense(value.getValue()));
-		Optional
-			.ofNullable(i.getDateofacceptance())
-			.ifPresent(value -> instance.setPublicationdate(value.getValue()));
-		Optional
-			.ofNullable(i.getRefereed())
-			.ifPresent(value -> instance.setRefereed(value.getClassname()));
-		Optional
-			.ofNullable(i.getInstancetype())
-			.ifPresent(value -> instance.setType(value.getClassname()));
-		Optional.ofNullable(i.getUrl()).ifPresent(value -> instance.setUrl(value));
-
-	}
-
-	private static Subject getSubject(StructuredProperty s) {
-		Subject subject = new Subject();
-		subject.setSubject(ControlledField.newInstance(s.getQualifier().getClassid(), s.getValue()));
-		Optional<DataInfo> di = Optional.ofNullable(s.getDataInfo());
-		if (di.isPresent()) {
-			Provenance p = new Provenance();
-			p.setProvenance(di.get().getProvenanceaction().getClassname());
-			p.setTrust(di.get().getTrust());
-			subject.setProvenance(p);
-		}
-
-		return subject;
-	}
-
-	private static Author getAuthor(eu.dnetlib.dhp.schema.oaf.Author oa) {
-		Author a = new Author();
-		a.setFullname(oa.getFullname());
-		a.setName(oa.getName());
-		a.setSurname(oa.getSurname());
-		a.setRank(oa.getRank());
-
-		Optional<List<StructuredProperty>> oPids = Optional
-			.ofNullable(oa.getPid());
-		if (oPids.isPresent()) {
-			Pid pid = getOrcid(oPids.get());
-			if (pid != null) {
-				a.setPid(pid);
-			}
-		}
-
-		return a;
-	}
-
-	private static Pid getOrcid(List<StructuredProperty> p) {
-		for (StructuredProperty pid : p) {
-			if (pid.getQualifier().getClassid().equals(ModelConstants.ORCID)) {
-				Optional<DataInfo> di = Optional.ofNullable(pid.getDataInfo());
-				if (di.isPresent()) {
-					return Pid
-						.newInstance(
-							ControlledField
-								.newInstance(
-									pid.getQualifier().getClassid(),
-									pid.getValue()),
-							Provenance
-								.newInstance(
-									di.get().getProvenanceaction().getClassname(),
-									di.get().getTrust()));
-				} else {
-					return Pid
-						.newInstance(
-							ControlledField
-								.newInstance(
-									pid.getQualifier().getClassid(),
-									pid.getValue())
-
-						);
-				}
-
-			}
-		}
-		return null;
-	}
-
-}

dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/DispatchEntitiesSparkJob.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.oa.dedup;
+package eu.dnetlib.dhp.oa.merge;
 
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 
@@ -38,7 +38,7 @@ public class DispatchEntitiesSparkJob {
 					.requireNonNull(
 						DispatchEntitiesSparkJob.class
 							.getResourceAsStream(
-								"/eu/dnetlib/dhp/oa/dedup/dispatch_entities_parameters.json")));
+								"/eu/dnetlib/dhp/oa/merge/dispatch_entities_parameters.json")));
 		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
 		parser.parseArgument(args);
 

dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/GroupEntitiesSparkJob.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.oa.dedup;
+package eu.dnetlib.dhp.oa.merge;
 
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 import static eu.dnetlib.dhp.utils.DHPUtils.toSeq;
@@ -53,7 +53,7 @@ public class GroupEntitiesSparkJob {
 			.toString(
 				GroupEntitiesSparkJob.class
 					.getResourceAsStream(
-						"/eu/dnetlib/dhp/oa/dedup/group_graph_entities_parameters.json"));
+						"/eu/dnetlib/dhp/oa/merge/group_graph_entities_parameters.json"));
 		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
 		parser.parseArgument(args);
 

dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/GraphCleaningFunctions.java

@@ -230,6 +230,15 @@ public class GraphCleaningFunctions extends CleaningFunctions {
 							.map(GraphCleaningFunctions::cleanValue)
 							.collect(Collectors.toList()));
 			}
+			if (Objects.nonNull(r.getFormat())) {
+				r
+					.setFormat(
+						r
+							.getFormat()
+							.stream()
+							.map(GraphCleaningFunctions::cleanValue)
+							.collect(Collectors.toList()));
+			}
 			if (Objects.nonNull(r.getDescription())) {
 				r
 					.setDescription(

dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtils.java

@@ -47,6 +47,17 @@ public class OafMapperUtils {
 	}
 
 	public static Result mergeResults(Result left, Result right) {
+
+		final boolean leftFromDelegatedAuthority = isFromDelegatedAuthority(left);
+		final boolean rightFromDelegatedAuthority = isFromDelegatedAuthority(right);
+
+		if (leftFromDelegatedAuthority && !rightFromDelegatedAuthority) {
+			return left;
+		}
+		if (!leftFromDelegatedAuthority && rightFromDelegatedAuthority) {
+			return right;
+		}
+
 		if (new ResultTypeComparator().compare(left, right) < 0) {
 			left.mergeFrom(right);
 			return left;
@@ -56,6 +67,18 @@ public class OafMapperUtils {
 		}
 	}
 
+	private static boolean isFromDelegatedAuthority(Result r) {
+		return Optional
+			.ofNullable(r.getInstance())
+			.map(
+				instance -> instance
+					.stream()
+					.filter(i -> Objects.nonNull(i.getCollectedfrom()))
+					.map(i -> i.getCollectedfrom().getKey())
+					.anyMatch(cfId -> IdentifierFactory.delegatedAuthorityDatasourceIds().contains(cfId)))
+			.orElse(false);
+	}
+
 	public static KeyValue keyValue(final String k, final String v) {
 		final KeyValue kv = new KeyValue();
 		kv.setKey(k);

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

@@ -0,0 +1,73 @@
+package eu.dnetlib.dhp.application
+
+import scala.io.Source
+
+/** This is the main Interface SparkApplication
+  * where all the Spark Scala class should inherit
+  */
+trait SparkScalaApplication {
+
+  /** This is the path in the classpath of the json
+    * describes all the argument needed to run
+    */
+  val propertyPath: String
+
+  /** Utility to parse the arguments using the
+    * property json in the classpath identified from
+    * the variable propertyPath
+    *
+    * @param args the list of arguments
+    */
+  def parseArguments(args: Array[String]): ArgumentApplicationParser = {
+    val parser = new ArgumentApplicationParser(
+      Source.fromInputStream(getClass.getResourceAsStream(propertyPath)).mkString
+    )
+    parser.parseArgument(args)
+    parser
+  }
+
+  /** Here all the spark applications runs this method
+    * 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 {
+
+  var parser: ArgumentApplicationParser = null
+
+  var spark: SparkSession = null
+
+  def initialize(): SparkScalaApplication = {
+    parser = parseArguments(args)
+    spark = createSparkSession()
+    this
+  }
+
+  /** Utility for creating a spark session starting from parser
+    *
+    * @return a spark Session
+    */
+  private def createSparkSession(): SparkSession = {
+    require(parser != null)
+
+    val conf: SparkConf = new SparkConf()
+    val master = parser.get("master")
+    log.info(s"Creating Spark session: Master: $master")
+    SparkSession
+      .builder()
+      .config(conf)
+      .appName(getClass.getSimpleName)
+      .master(master)
+      .getOrCreate()
+  }
+
+}

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

@@ -0,0 +1,442 @@
+package eu.dnetlib.dhp.sx.graph.scholix
+
+import eu.dnetlib.dhp.schema.oaf.{Publication, Relation, Result, StructuredProperty}
+import eu.dnetlib.dhp.schema.sx.scholix._
+import eu.dnetlib.dhp.schema.sx.summary.{CollectedFromType, SchemeValue, ScholixSummary, Typology}
+import eu.dnetlib.dhp.utils.DHPUtils
+import org.apache.spark.sql.expressions.Aggregator
+import org.apache.spark.sql.{Encoder, Encoders}
+import org.json4s
+import org.json4s.DefaultFormats
+import org.json4s.jackson.JsonMethods.parse
+import scala.collection.JavaConverters._
+import scala.io.Source
+
+object ScholixUtils extends Serializable {
+
+  val DNET_IDENTIFIER_SCHEMA: String = "DNET Identifier"
+
+  val DATE_RELATION_KEY: String = "RelationDate"
+
+  case class RelationVocabulary(original: String, inverse: String) {}
+
+  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
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+
+    lazy val json: json4s.JValue = parse(input)
+
+    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)
+      if (date.isDefined)
+        date.get
+      else
+        null
+    }
+  }
+
+  def extractRelationDate(summary: ScholixSummary): String = {
+
+    if (summary.getDate == null || summary.getDate.isEmpty)
+      null
+    else {
+      summary.getDate.get(0)
+    }
+  }
+
+  def inverseRelationShip(rel: ScholixRelationship): ScholixRelationship = {
+    new ScholixRelationship(rel.getInverse, rel.getSchema, rel.getName)
+
+  }
+
+  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 relatedDataset = if ("dataset".equalsIgnoreCase(a._2)) a._3 else 0
+        val relatedPublication = if ("publication".equalsIgnoreCase(a._2)) a._3 else 0
+
+        if (b == null)
+          RelatedEntities(a._1, relatedDataset, relatedPublication)
+        else
+          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
+        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]
+    }
+
+  def createInverseScholixRelation(scholix: Scholix): Scholix = {
+    val s = new Scholix
+    s.setPublicationDate(scholix.getPublicationDate)
+    s.setPublisher(scholix.getPublisher)
+    s.setLinkprovider(scholix.getLinkprovider)
+    s.setRelationship(inverseRelationShip(scholix.getRelationship))
+    s.setSource(scholix.getTarget)
+    s.setTarget(scholix.getSource)
+    s.setIdentifier(
+      DHPUtils.md5(
+        s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"
+      )
+    )
+    s
+
+  }
+
+  def extractCollectedFrom(summary: ScholixResource): List[ScholixEntityId] = {
+    if (summary.getCollectedFrom != null && !summary.getCollectedFrom.isEmpty) {
+      val l: List[ScholixEntityId] = summary.getCollectedFrom.asScala.map { d =>
+        new ScholixEntityId(d.getProvider.getName, d.getProvider.getIdentifiers)
+      }(collection.breakOut)
+      l
+    } else List()
+  }
+
+  def extractCollectedFrom(summary: ScholixSummary): List[ScholixEntityId] = {
+    if (summary.getDatasources != null && !summary.getDatasources.isEmpty) {
+      val l: List[ScholixEntityId] = summary.getDatasources.asScala.map { d =>
+        new ScholixEntityId(
+          d.getDatasourceName,
+          List(new ScholixIdentifier(d.getDatasourceId, "DNET Identifier", null)).asJava
+        )
+      }(collection.breakOut)
+      l
+    } else List()
+  }
+
+  def extractCollectedFrom(relation: Relation): List[ScholixEntityId] = {
+    if (relation.getCollectedfrom != null && !relation.getCollectedfrom.isEmpty) {
+
+      val l: List[ScholixEntityId] = relation.getCollectedfrom.asScala.map { c =>
+        new ScholixEntityId(
+          c.getValue,
+          List(new ScholixIdentifier(c.getKey, DNET_IDENTIFIER_SCHEMA, null)).asJava
+        )
+      }.toList
+      l
+    } else List()
+  }
+
+  def generateCompleteScholix(scholix: Scholix, target: ScholixSummary): Scholix = {
+    val s = new Scholix
+    s.setPublicationDate(scholix.getPublicationDate)
+    s.setPublisher(scholix.getPublisher)
+    s.setLinkprovider(scholix.getLinkprovider)
+    s.setRelationship(scholix.getRelationship)
+    s.setSource(scholix.getSource)
+    s.setTarget(generateScholixResourceFromSummary(target))
+    s.setIdentifier(
+      DHPUtils.md5(
+        s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"
+      )
+    )
+    s
+  }
+
+  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)
+    r.setDnetIdentifier(summaryObject.getId)
+
+    r.setObjectType(summaryObject.getTypology.toString)
+    r.setObjectSubType(summaryObject.getSubType)
+
+    if (summaryObject.getTitle != null && !summaryObject.getTitle.isEmpty)
+      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
+      if (l.nonEmpty)
+        r.setCreator(l.asJava)
+    }
+
+    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
+
+      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(
+            new ScholixEntityId(
+              c.getDatasourceName,
+              List(new ScholixIdentifier(c.getDatasourceId, DNET_IDENTIFIER_SCHEMA, null)).asJava
+            ),
+            "collected",
+            "complete"
+          )
+        )
+        .toList
+
+      if (l.nonEmpty)
+        r.setCollectedFrom(l.asJava)
+
+    }
+    r
+  }
+
+  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)
+      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 = extractRelationDate(source)
+
+    s.setPublicationDate(d)
+
+    if (source.getPublisher != null && !source.getPublisher.isEmpty) {
+      val l: List[ScholixEntityId] = source.getPublisher.asScala
+        .map { p =>
+          new ScholixEntityId(p, null)
+        }(collection.breakOut)
+
+      if (l.nonEmpty)
+        s.setPublisher(l.asJava)
+    }
+
+    val semanticRelation = relations.getOrElse(relation.getRelClass.toLowerCase, null)
+    if (semanticRelation == null)
+      return null
+    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
+
+      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)
+      .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
+  }
+
+  def resultToSummary(r: Result): ScholixSummary = {
+    val s = new ScholixSummary
+    s.setId(r.getId)
+    if (r.getPid == null || r.getPid.isEmpty)
+      return null
+
+    val persistentIdentifiers: List[ScholixIdentifier] = extractTypedIdentifierFromInstance(r)
+    if (persistentIdentifiers.isEmpty)
+      return null
+    s.setLocalIdentifier(persistentIdentifiers.asJava)
+    if (r.isInstanceOf[Publication])
+      s.setTypology(Typology.publication)
+    else
+      s.setTypology(Typology.dataset)
+
+    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).toList
+      if (titles.nonEmpty)
+        s.setTitle(titles.asJava)
+      else
+        return null
+    }
+
+    if (r.getAuthor != null && !r.getAuthor.isEmpty) {
+      val authors: List[String] = r.getAuthor.asScala.map(a => a.getFullname).toList
+      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)
+        .toList
+      if (dt.nonEmpty)
+        s.setDate(dt.distinct.asJava)
+    }
+    if (r.getDescription != null && !r.getDescription.isEmpty) {
+      val d = r.getDescription.asScala.find(f => f != null && f.getValue != null)
+      if (d.isDefined)
+        s.setDescription(d.get.getValue)
+    }
+
+    if (r.getSubject != null && !r.getSubject.isEmpty) {
+      val subjects: List[SchemeValue] = r.getSubject.asScala
+        .map(s => new SchemeValue(s.getQualifier.getClassname, s.getValue))
+        .toList
+      if (subjects.nonEmpty)
+        s.setSubject(subjects.asJava)
+    }
+
+    if (r.getPublisher != null)
+      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
+      if (cf.nonEmpty)
+        s.setDatasources(cf.distinct.asJava)
+    }
+
+    s.setRelatedDatasets(0)
+    s.setRelatedPublications(0)
+    s.setRelatedUnknown(0)
+
+    s
+  }
+
+}

dhp-common/src/test/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtilsTest.java

@@ -107,7 +107,7 @@ class OafMapperUtilsTest {
 		assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("2006-01-02T15:04:05+0000").get());
 		assertEquals("2009-08-13", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09-07:00").get());
 		assertEquals("2009-08-12", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09").get());
-		assertEquals("2009-08-12", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09Z").get());
+		assertEquals("2009-08-13", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09Z").get());
 		assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 17:24:37.3186369").get());
 		assertEquals("2012-08-03", GraphCleaningFunctions.doCleanDate("2012-08-03 18:31:59.257000000").get());
 		assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 17:24:37.123").get());
@@ -185,6 +185,22 @@ class OafMapperUtilsTest {
 				.getClassid());
 	}
 
+	@Test
+	void testDelegatedAuthority() throws IOException {
+		Dataset d1 = read("dataset_2.json", Dataset.class);
+		Dataset d2 = read("dataset_delegated.json", Dataset.class);
+
+		assertEquals(1, d2.getCollectedfrom().size());
+		assertTrue(cfId(d2.getCollectedfrom()).contains(ModelConstants.ZENODO_OD_ID));
+
+		Result res = OafMapperUtils.mergeResults(d1, d2);
+
+		assertEquals(d2, res);
+
+		System.out.println(OBJECT_MAPPER.writeValueAsString(res));
+
+	}
+
 	protected HashSet<String> cfId(List<KeyValue> collectedfrom) {
 		return collectedfrom.stream().map(KeyValue::getKey).collect(Collectors.toCollection(HashSet::new));
 	}

dhp-common/src/test/resources/eu/dnetlib/dhp/schema/oaf/utils/dataset_2.json

@@ -1 +1,140 @@
-{"id":"50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1g", "resuttype" : { "classid" : "dataset" }, "pid":[{"qualifier":{"classid":"doi"},"value":"10.1016/j.cmet.2011.03.013"},{"qualifier":{"classid":"urn"},"value":"urn:nbn:nl:ui:29-f3ed5f9e-edf6-457e-8848-61b58a4075e2"},{"qualifier":{"classid":"scp-number"},"value":"79953761260"},{"qualifier":{"classid":"pmc"},"value":"21459329"}], "collectedfrom" : [ { "key" : "10|openaire____::081b82f96300b6a6e3d282bad31cb6e3", "value" : "Repository B"} ]}
+{
+  "id": "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1g",
+  "resuttype": {"classid": "dataset"},
+  "pid": [
+    {
+      "qualifier": {"classid": "doi"},
+      "value": "10.1016/j.cmet.2011.03.013"
+    },
+    {
+      "qualifier": {"classid": "urn"},
+      "value": "urn:nbn:nl:ui:29-f3ed5f9e-edf6-457e-8848-61b58a4075e2"
+    },
+    {
+      "qualifier": {"classid": "scp-number"},
+      "value": "79953761260"
+    },
+    {
+      "qualifier": {"classid": "pmc"},
+      "value": "21459329"
+    }
+  ],
+  "collectedfrom": [
+    {
+      "key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e3",
+      "value": "Repository B"
+    }
+  ],
+  "instance": [
+    {
+      "refereed": {
+        "classid": "0000",
+        "classname": "UNKNOWN",
+        "schemeid": "dnet:review_levels",
+        "schemename": "dnet:review_levels"
+      },
+      "hostedby": {
+        "key": "10|opendoar____::358aee4cc897452c00244351e4d91f69",
+        "value": "Zenodo"
+      },
+      "accessright": {
+        "classid": "OPEN",
+        "classname": "Open Access",
+        "schemeid": "dnet:access_modes",
+        "schemename": "dnet:access_modes"
+      },
+      "processingchargecurrency": {
+        "dataInfo": {
+          "provenanceaction": {
+            "classid": "sysimport:crosswalk:datasetarchive",
+            "classname": "Harvested",
+            "schemeid": "dnet:provenanceActions",
+            "schemename": "dnet:provenanceActions"
+          },
+          "deletedbyinference": false,
+          "inferred": false,
+          "inferenceprovenance": "",
+          "invisible": true,
+          "trust": "0.9"
+        },
+        "value": "EUR"
+      },
+      "pid": [
+        {
+          "dataInfo": {
+            "provenanceaction": {
+              "classid": "sysimport:crosswalk:datasetarchive",
+              "classname": "Harvested",
+              "schemeid": "dnet:provenanceActions",
+              "schemename": "dnet:provenanceActions"
+            },
+            "deletedbyinference": false,
+            "inferred": false,
+            "inferenceprovenance": "",
+            "invisible": true,
+            "trust": "0.9"
+          },
+          "qualifier": {
+            "classid": "doi",
+            "classname": "Digital Object Identifier",
+            "schemeid": "dnet:pid_types",
+            "schemename": "dnet:pid_types"
+          },
+          "value": "10.1371/journal.pone.0085605"
+        }
+      ],
+      "distributionlocation": "",
+      "url": ["https://doi.org/10.1371/journal.pone.0085605"],
+      "alternateIdentifier": [
+        {
+          "dataInfo": {
+            "provenanceaction": {
+              "classid": "sysimport:crosswalk:datasetarchive",
+              "classname": "Harvested",
+              "schemeid": "dnet:provenanceActions",
+              "schemename": "dnet:provenanceActions"
+            },
+            "deletedbyinference": false,
+            "inferred": false,
+            "inferenceprovenance": "",
+            "invisible": true,
+            "trust": "0.9"
+          },
+          "qualifier": {
+            "classid": "pmid",
+            "classname": "PubMed ID",
+            "schemeid": "dnet:pid_types",
+            "schemename": "dnet:pid_types"
+          },
+          "value": "24454899.0"
+        }
+      ],
+      "collectedfrom": {
+        "key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e3",
+        "value": "Repository B"
+      },
+      "processingchargeamount": {
+        "dataInfo": {
+          "provenanceaction": {
+            "classid": "sysimport:crosswalk:datasetarchive",
+            "classname": "Harvested",
+            "schemeid": "dnet:provenanceActions",
+            "schemename": "dnet:provenanceActions"
+          },
+          "deletedbyinference": false,
+          "inferred": false,
+          "inferenceprovenance": "",
+          "invisible": true,
+          "trust": "0.9"
+        },
+        "value": "1022.02"
+      },
+      "instancetype": {
+        "classid": "0004",
+        "classname": "Conference object",
+        "schemeid": "dnet:publication_resource",
+        "schemename": "dnet:publication_resource"
+      }
+    }
+  ]
+}

dhp-common/src/test/resources/eu/dnetlib/dhp/schema/oaf/utils/dataset_delegated.json

@@ -0,0 +1,140 @@
+{
+  "id": "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1g",
+  "resuttype": {"classid": "dataset"},
+  "pid": [
+    {
+      "qualifier": {"classid": "doi"},
+      "value": "10.1016/j.cmet.2011.03.013"
+    },
+    {
+      "qualifier": {"classid": "urn"},
+      "value": "urn:nbn:nl:ui:29-f3ed5f9e-edf6-457e-8848-61b58a4075e2"
+    },
+    {
+      "qualifier": {"classid": "scp-number"},
+      "value": "79953761260"
+    },
+    {
+      "qualifier": {"classid": "pmc"},
+      "value": "21459329"
+    }
+  ],
+  "collectedfrom": [
+    {
+      "key": "10|opendoar____::358aee4cc897452c00244351e4d91f69",
+      "value": "Zenodo"
+    }
+  ],
+  "instance": [
+    {
+      "refereed": {
+        "classid": "0000",
+        "classname": "UNKNOWN",
+        "schemeid": "dnet:review_levels",
+        "schemename": "dnet:review_levels"
+      },
+      "hostedby": {
+        "key": "10|opendoar____::358aee4cc897452c00244351e4d91f69",
+        "value": "Zenodo"
+      },
+      "accessright": {
+        "classid": "OPEN",
+        "classname": "Open Access",
+        "schemeid": "dnet:access_modes",
+        "schemename": "dnet:access_modes"
+      },
+      "processingchargecurrency": {
+        "dataInfo": {
+          "provenanceaction": {
+            "classid": "sysimport:crosswalk:datasetarchive",
+            "classname": "Harvested",
+            "schemeid": "dnet:provenanceActions",
+            "schemename": "dnet:provenanceActions"
+          },
+          "deletedbyinference": false,
+          "inferred": false,
+          "inferenceprovenance": "",
+          "invisible": true,
+          "trust": "0.9"
+        },
+        "value": "EUR"
+      },
+      "pid": [
+        {
+          "dataInfo": {
+            "provenanceaction": {
+              "classid": "sysimport:crosswalk:datasetarchive",
+              "classname": "Harvested",
+              "schemeid": "dnet:provenanceActions",
+              "schemename": "dnet:provenanceActions"
+            },
+            "deletedbyinference": false,
+            "inferred": false,
+            "inferenceprovenance": "",
+            "invisible": true,
+            "trust": "0.9"
+          },
+          "qualifier": {
+            "classid": "doi",
+            "classname": "Digital Object Identifier",
+            "schemeid": "dnet:pid_types",
+            "schemename": "dnet:pid_types"
+          },
+          "value": "10.1371/journal.pone.0085605"
+        }
+      ],
+      "distributionlocation": "",
+      "url": ["https://doi.org/10.1371/journal.pone.0085605"],
+      "alternateIdentifier": [
+        {
+          "dataInfo": {
+            "provenanceaction": {
+              "classid": "sysimport:crosswalk:datasetarchive",
+              "classname": "Harvested",
+              "schemeid": "dnet:provenanceActions",
+              "schemename": "dnet:provenanceActions"
+            },
+            "deletedbyinference": false,
+            "inferred": false,
+            "inferenceprovenance": "",
+            "invisible": true,
+            "trust": "0.9"
+          },
+          "qualifier": {
+            "classid": "pmid",
+            "classname": "PubMed ID",
+            "schemeid": "dnet:pid_types",
+            "schemename": "dnet:pid_types"
+          },
+          "value": "24454899.0"
+        }
+      ],
+      "collectedfrom": {
+        "key": "10|opendoar____::358aee4cc897452c00244351e4d91f69",
+        "value": "Zenodo"
+      },
+      "processingchargeamount": {
+        "dataInfo": {
+          "provenanceaction": {
+            "classid": "sysimport:crosswalk:datasetarchive",
+            "classname": "Harvested",
+            "schemeid": "dnet:provenanceActions",
+            "schemename": "dnet:provenanceActions"
+          },
+          "deletedbyinference": false,
+          "inferred": false,
+          "inferenceprovenance": "",
+          "invisible": true,
+          "trust": "0.9"
+        },
+        "value": "1022.02"
+      },
+      "instancetype": {
+        "classid": "0004",
+        "classname": "Conference object",
+        "schemeid": "dnet:publication_resource",
+        "schemename": "dnet:publication_resource"
+      }
+    }
+  ]
+}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/Constants.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
+package eu.dnetlib.dhp.actionmanager;
 
 import java.util.Optional;
 
@@ -11,19 +11,29 @@ import org.apache.spark.sql.SparkSession;
 import com.fasterxml.jackson.databind.ObjectMapper;
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
+import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
+import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
 
 public class Constants {
 
 	public static final String DOI = "doi";
+	public static final String DOI_CLASSNAME = "Digital Object Identifier";
+
+	public static final String DEFAULT_DELIMITER = ",";
 
 	public static final String UPDATE_DATA_INFO_TYPE = "update";
 	public static final String UPDATE_SUBJECT_FOS_CLASS_ID = "subject:fos";
 	public static final String UPDATE_CLASS_NAME = "Inferred by OpenAIRE";
 	public static final String UPDATE_MEASURE_BIP_CLASS_ID = "measure:bip";
+	public static final String UPDATE_SUBJECT_SDG_CLASS_ID = "subject:sdg";
 
 	public static final String FOS_CLASS_ID = "FOS";
 	public static final String FOS_CLASS_NAME = "Fields of Science and Technology classification";
 
+	public static final String SDG_CLASS_ID = "SDG";
+	public static final String SDG_CLASS_NAME = "Sustainable Development Goals";
+
 	public static final String NULL = "NULL";
 
 	public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
@@ -46,4 +56,37 @@ public class Constants {
 			.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
 	}
 
+	public static StructuredProperty getSubject(String sbj, String classid, String classname,
+		String diqualifierclassid) {
+		if (sbj.equals(NULL))
+			return null;
+		StructuredProperty sp = new StructuredProperty();
+		sp.setValue(sbj);
+		sp
+			.setQualifier(
+				OafMapperUtils
+					.qualifier(
+						classid,
+						classname,
+						ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+						ModelConstants.DNET_SUBJECT_TYPOLOGIES));
+		sp
+			.setDataInfo(
+				OafMapperUtils
+					.dataInfo(
+						false,
+						UPDATE_DATA_INFO_TYPE,
+						true,
+						false,
+						OafMapperUtils
+							.qualifier(
+								diqualifierclassid,
+								UPDATE_CLASS_NAME,
+								ModelConstants.DNET_PROVENANCE_ACTIONS,
+								ModelConstants.DNET_PROVENANCE_ACTIONS),
+						""));
+
+		return sp;
+
+	}
 }

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java

@@ -1,86 +0,0 @@
-
-package eu.dnetlib.dhp.actionmanager.bipfinder;
-
-import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
-
-import java.io.Serializable;
-import java.util.Objects;
-import java.util.Optional;
-
-import org.apache.commons.io.IOUtils;
-import org.apache.hadoop.io.Text;
-import org.apache.hadoop.mapred.SequenceFileOutputFormat;
-import org.apache.spark.SparkConf;
-import org.apache.spark.api.java.JavaSparkContext;
-import org.apache.spark.sql.SparkSession;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import com.fasterxml.jackson.databind.ObjectMapper;
-
-import eu.dnetlib.dhp.application.ArgumentApplicationParser;
-import eu.dnetlib.dhp.common.HdfsSupport;
-import eu.dnetlib.dhp.schema.oaf.Result;
-
-/**
- * Just collects all the atomic actions produced for the different results and saves them in
- * outputpath for the ActionSet
- */
-public class CollectAndSave implements Serializable {
-
-	private static final Logger log = LoggerFactory.getLogger(CollectAndSave.class);
-
-	public static void main(String[] args) throws Exception {
-
-		String jsonConfiguration = IOUtils
-			.toString(
-				Objects
-					.requireNonNull(
-						CollectAndSave.class
-							.getResourceAsStream(
-								"/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json")));
-
-		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
-
-		parser.parseArgument(args);
-
-		Boolean isSparkSessionManaged = Optional
-			.ofNullable(parser.get("isSparkSessionManaged"))
-			.map(Boolean::valueOf)
-			.orElse(Boolean.TRUE);
-
-		log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
-
-		final String inputPath = parser.get("inputPath");
-		log.info("inputPath {}: ", inputPath);
-
-		final String outputPath = parser.get("outputPath");
-		log.info("outputPath {}: ", outputPath);
-
-		SparkConf conf = new SparkConf();
-
-		runWithSparkSession(
-			conf,
-			isSparkSessionManaged,
-			spark -> {
-				removeOutputDir(spark, outputPath);
-				collectAndSave(spark, inputPath, outputPath);
-			});
-	}
-
-	private static void collectAndSave(SparkSession spark, String inputPath, String outputPath) {
-		JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
-
-		sc
-			.sequenceFile(inputPath + "/publication", Text.class, Text.class)
-			.union(sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class))
-			.union(sc.sequenceFile(inputPath + "/otherresearchproduct", Text.class, Text.class))
-			.union(sc.sequenceFile(inputPath + "/software", Text.class, Text.class))
-			.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
-	}
-
-	private static void removeOutputDir(SparkSession spark, String path) {
-		HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
-	}
-
-}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java

@@ -1,28 +0,0 @@
-
-package eu.dnetlib.dhp.actionmanager.bipfinder;
-
-import java.io.Serializable;
-
-/**
- * Subset of the information of the generic results that are needed to create the atomic action
- */
-public class PreparedResult implements Serializable {
-	private String id; // openaire id
-	private String value; // doi
-
-	public String getId() {
-		return id;
-	}
-
-	public void setId(String id) {
-		this.id = id;
-	}
-
-	public String getValue() {
-		return value;
-	}
-
-	public void setValue(String value) {
-		this.value = value;
-	}
-}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java

@@ -1,6 +1,7 @@
 
 package eu.dnetlib.dhp.actionmanager.bipfinder;
 
+import static eu.dnetlib.dhp.actionmanager.Constants.*;
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 
 import java.io.Serializable;
@@ -15,7 +16,6 @@ import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
 import org.apache.spark.api.java.function.MapFunction;
-import org.apache.spark.api.java.function.MapGroupsFunction;
 import org.apache.spark.sql.Dataset;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SparkSession;
@@ -24,11 +24,15 @@ import org.slf4j.LoggerFactory;
 
 import com.fasterxml.jackson.databind.ObjectMapper;
 
+import eu.dnetlib.dhp.actionmanager.bipmodel.BipDeserialize;
+import eu.dnetlib.dhp.actionmanager.bipmodel.BipScore;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.common.HdfsSupport;
 import eu.dnetlib.dhp.schema.action.AtomicAction;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
 import eu.dnetlib.dhp.schema.oaf.*;
 import eu.dnetlib.dhp.schema.oaf.KeyValue;
+import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
 import scala.Tuple2;
 
 /**
@@ -46,7 +50,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
 			.toString(
 				SparkAtomicActionScoreJob.class
 					.getResourceAsStream(
-						"/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json"));
+						"/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json"));
 
 		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
 
@@ -65,14 +69,6 @@ public class SparkAtomicActionScoreJob implements Serializable {
 		final String outputPath = parser.get("outputPath");
 		log.info("outputPath {}: ", outputPath);
 
-		final String bipScorePath = parser.get("bipScorePath");
-		log.info("bipScorePath: {}", bipScorePath);
-
-		final String resultClassName = parser.get("resultTableName");
-		log.info("resultTableName: {}", resultClassName);
-
-		Class<I> inputClazz = (Class<I>) Class.forName(resultClassName);
-
 		SparkConf conf = new SparkConf();
 
 		runWithSparkSession(
@@ -80,12 +76,11 @@ public class SparkAtomicActionScoreJob implements Serializable {
 			isSparkSessionManaged,
 			spark -> {
 				removeOutputDir(spark, outputPath);
-				prepareResults(spark, inputPath, outputPath, bipScorePath, inputClazz);
+				prepareResults(spark, inputPath, outputPath);
 			});
 	}
 
-	private static <I extends Result> void prepareResults(SparkSession spark, String inputPath, String outputPath,
+	private static <I extends Result> void prepareResults(SparkSession spark, String bipScorePath, String outputPath) {
-		String bipScorePath, Class<I> inputClazz) {
 
 		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
 
@@ -101,41 +96,19 @@ public class SparkAtomicActionScoreJob implements Serializable {
 				return bs;
 			}).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class));
 
-		Dataset<I> results = readPath(spark, inputPath, inputClazz);
-
-		results.createOrReplaceTempView("result");
-
-		Dataset<PreparedResult> preparedResult = spark
-			.sql(
-				"select pIde.value value, id " +
-					"from result " +
-					"lateral view explode (pid) p as pIde " +
-					"where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'")
-			.as(Encoders.bean(PreparedResult.class));
-
 		bipScores
-			.joinWith(
-				preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")),
-				"inner")
-			.map((MapFunction<Tuple2<BipScore, PreparedResult>, BipScore>) value -> {
-				BipScore ret = value._1();
-				ret.setId(value._2().getId());
-				return ret;
-			}, Encoders.bean(BipScore.class))
-			.groupByKey((MapFunction<BipScore, String>) BipScore::getId, Encoders.STRING())
-			.mapGroups((MapGroupsFunction<String, BipScore, Result>) (k, it) -> {
-				Result ret = new Result();
-				ret.setDataInfo(getDataInfo());
-				BipScore first = it.next();
-				ret.setId(first.getId());
 
-				ret.setMeasures(getMeasure(first));
+			.map((MapFunction<BipScore, Result>) bs -> {
-				it.forEachRemaining(value -> ret.getMeasures().addAll(getMeasure(value)));
+				Result ret = new Result();
+
+				ret.setId(bs.getId());
+
+				ret.setMeasures(getMeasure(bs));
 
 				return ret;
 			}, Encoders.bean(Result.class))
 			.toJavaRDD()
-			.map(p -> new AtomicAction(inputClazz, p))
+			.map(p -> new AtomicAction(Result.class, p))
 			.mapToPair(
 				aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
 					new Text(OBJECT_MAPPER.writeValueAsString(aa))))
@@ -159,7 +132,21 @@ public class SparkAtomicActionScoreJob implements Serializable {
 								KeyValue kv = new KeyValue();
 								kv.setValue(unit.getValue());
 								kv.setKey(unit.getKey());
-								kv.setDataInfo(getDataInfo());
+								kv
+									.setDataInfo(
+										OafMapperUtils
+											.dataInfo(
+												false,
+												UPDATE_DATA_INFO_TYPE,
+												true,
+												false,
+												OafMapperUtils
+													.qualifier(
+														UPDATE_MEASURE_BIP_CLASS_ID,
+														UPDATE_CLASS_NAME,
+														ModelConstants.DNET_PROVENANCE_ACTIONS,
+														ModelConstants.DNET_PROVENANCE_ACTIONS),
+												""));
 								return kv;
 							})
 							.collect(Collectors.toList()));
@@ -168,21 +155,6 @@ public class SparkAtomicActionScoreJob implements Serializable {
 			.collect(Collectors.toList());
 	}
 
-	private static DataInfo getDataInfo() {
-		DataInfo di = new DataInfo();
-		di.setInferred(false);
-		di.setInvisible(false);
-		di.setDeletedbyinference(false);
-		di.setTrust("");
-		Qualifier qualifier = new Qualifier();
-		qualifier.setClassid("sysimport:actionset");
-		qualifier.setClassname("Harvested");
-		qualifier.setSchemename("dnet:provenanceActions");
-		qualifier.setSchemeid("dnet:provenanceActions");
-		di.setProvenanceaction(qualifier);
-		return di;
-	}
-
 	private static void removeOutputDir(SparkSession spark, String path) {
 		HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
 	}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipmodel/BipDeserialize.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.actionmanager.bipfinder;
+package eu.dnetlib.dhp.actionmanager.bipmodel;
 
 import java.io.Serializable;
 import java.util.ArrayList;

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipmodel/BipScore.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.actionmanager.bipfinder;
+package eu.dnetlib.dhp.actionmanager.bipmodel;
 
 import java.io.Serializable;
 import java.util.List;

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipmodel/KeyValue.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.actionmanager.bipfinder;
+package eu.dnetlib.dhp.actionmanager.bipmodel;
 
 import java.io.Serializable;
 

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipmodel/Score.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.actionmanager.bipfinder;
+package eu.dnetlib.dhp.actionmanager.bipmodel;
 
 import java.io.Serializable;
 import java.util.List;

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/GetFOSData.java

@@ -1,77 +0,0 @@
-
-package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
-
-import java.io.IOException;
-import java.io.InputStreamReader;
-import java.io.Serializable;
-import java.util.Objects;
-import java.util.Optional;
-
-import org.apache.commons.io.IOUtils;
-import org.apache.hadoop.conf.Configuration;
-import org.apache.hadoop.fs.FileSystem;
-import org.apache.hadoop.fs.Path;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import eu.dnetlib.dhp.application.ArgumentApplicationParser;
-import eu.dnetlib.dhp.common.collection.GetCSV;
-
-public class GetFOSData implements Serializable {
-
-	private static final Logger log = LoggerFactory.getLogger(GetFOSData.class);
-
-	public static final char DEFAULT_DELIMITER = '\t';
-
-	public static void main(final String[] args) throws Exception {
-		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
-			IOUtils
-				.toString(
-					Objects
-						.requireNonNull(
-							GetFOSData.class
-								.getResourceAsStream(
-									"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/get_fos_parameters.json"))));
-
-		parser.parseArgument(args);
-
-		// the path where the original fos csv file is stored
-		final String sourcePath = parser.get("sourcePath");
-		log.info("sourcePath {}", sourcePath);
-
-		// the path where to put the file as json
-		final String outputPath = parser.get("outputPath");
-		log.info("outputPath {}", outputPath);
-
-		final String hdfsNameNode = parser.get("hdfsNameNode");
-		log.info("hdfsNameNode {}", hdfsNameNode);
-
-		final String classForName = parser.get("classForName");
-		log.info("classForName {}", classForName);
-
-		final char delimiter = Optional
-			.ofNullable(parser.get("delimiter"))
-			.map(s -> s.charAt(0))
-			.orElse(DEFAULT_DELIMITER);
-		log.info("delimiter {}", delimiter);
-
-		Configuration conf = new Configuration();
-		conf.set("fs.defaultFS", hdfsNameNode);
-
-		FileSystem fileSystem = FileSystem.get(conf);
-
-		new GetFOSData().doRewrite(sourcePath, outputPath, classForName, delimiter, fileSystem);
-
-	}
-
-	public void doRewrite(String inputPath, String outputFile, String classForName, char delimiter, FileSystem fs)
-		throws IOException, ClassNotFoundException {
-
-		// reads the csv and writes it as its json equivalent
-		try (InputStreamReader reader = new InputStreamReader(fs.open(new Path(inputPath)))) {
-			GetCSV.getCsv(fs, reader, outputFile, classForName, delimiter);
-		}
-
-	}
-
-}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/GetFOSSparkJob.java

@@ -0,0 +1,91 @@
+
+package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
+
+import static eu.dnetlib.dhp.actionmanager.Constants.DEFAULT_DELIMITER;
+import static eu.dnetlib.dhp.actionmanager.Constants.isSparkSessionManaged;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.Serializable;
+import java.util.Optional;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.sql.*;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class GetFOSSparkJob implements Serializable {
+
+	private static final Logger log = LoggerFactory.getLogger(GetFOSSparkJob.class);
+
+	public static void main(String[] args) throws Exception {
+
+		String jsonConfiguration = IOUtils
+			.toString(
+				GetFOSSparkJob.class
+					.getResourceAsStream(
+						"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/get_input_parameters.json"));
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
+
+		parser.parseArgument(args);
+
+		Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
+		log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
+
+		// the path where the original fos csv file is stored
+		final String sourcePath = parser.get("sourcePath");
+		log.info("sourcePath {}", sourcePath);
+
+		// the path where to put the file as json
+		final String outputPath = parser.get("outputPath");
+		log.info("outputPath {}", outputPath);
+
+		final String delimiter = Optional
+			.ofNullable(parser.get("delimiter"))
+			.orElse(DEFAULT_DELIMITER);
+
+		SparkConf sconf = new SparkConf();
+		runWithSparkSession(
+			sconf,
+			isSparkSessionManaged,
+			spark -> {
+				getFOS(
+					spark,
+					sourcePath,
+					outputPath,
+					delimiter);
+			});
+	}
+
+	private static void getFOS(SparkSession spark, String sourcePath, String outputPath, String delimiter) {
+		Dataset<Row> fosData = spark
+			.read()
+			.format("csv")
+			.option("sep", delimiter)
+			.option("inferSchema", "true")
+			.option("header", "true")
+			.option("quotes", "\"")
+			.load(sourcePath);
+
+		fosData.map((MapFunction<Row, FOSDataModel>) r -> {
+			FOSDataModel fosDataModel = new FOSDataModel();
+			fosDataModel.setDoi(r.getString(0).toLowerCase());
+			fosDataModel.setLevel1(r.getString(1));
+			fosDataModel.setLevel2(r.getString(2));
+			fosDataModel.setLevel3(r.getString(3));
+			return fosDataModel;
+		}, Encoders.bean(FOSDataModel.class))
+			.write()
+			.mode(SaveMode.Overwrite)
+			.json(outputPath);
+
+	}
+
+}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/GetSDGSparkJob.java

@@ -0,0 +1,91 @@
+
+package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
+
+import static eu.dnetlib.dhp.actionmanager.Constants.DEFAULT_DELIMITER;
+import static eu.dnetlib.dhp.actionmanager.Constants.isSparkSessionManaged;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.Serializable;
+import java.util.Optional;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.function.FilterFunction;
+import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.sql.*;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
+import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.SDGDataModel;
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class GetSDGSparkJob implements Serializable {
+
+	private static final Logger log = LoggerFactory.getLogger(GetSDGSparkJob.class);
+
+	public static void main(String[] args) throws Exception {
+
+		String jsonConfiguration = IOUtils
+			.toString(
+				GetSDGSparkJob.class
+					.getResourceAsStream(
+						"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/get_input_parameters.json"));
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
+
+		parser.parseArgument(args);
+
+		Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
+		log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
+
+		// the path where the original fos csv file is stored
+		final String sourcePath = parser.get("sourcePath");
+		log.info("sourcePath {}", sourcePath);
+
+		// the path where to put the file as json
+		final String outputPath = parser.get("outputPath");
+		log.info("outputPath {}", outputPath);
+
+		final String delimiter = Optional
+			.ofNullable(parser.get("delimiter"))
+			.orElse(DEFAULT_DELIMITER);
+
+		SparkConf sconf = new SparkConf();
+		runWithSparkSession(
+			sconf,
+			isSparkSessionManaged,
+			spark -> {
+				getSDG(
+					spark,
+					sourcePath,
+					outputPath,
+					delimiter);
+			});
+	}
+
+	private static void getSDG(SparkSession spark, String sourcePath, String outputPath, String delimiter) {
+		Dataset<Row> sdgData = spark
+			.read()
+			.format("csv")
+			.option("sep", delimiter)
+			.option("inferSchema", "true")
+			.option("header", "true")
+			.option("quotes", "\"")
+			.load(sourcePath);
+
+		sdgData.map((MapFunction<Row, SDGDataModel>) r -> {
+			SDGDataModel sdgDataModel = new SDGDataModel();
+			sdgDataModel.setDoi(r.getString(0).toLowerCase());
+			sdgDataModel.setSbj(r.getString(1));
+
+			return sdgDataModel;
+		}, Encoders.bean(SDGDataModel.class))
+			.filter((FilterFunction<SDGDataModel>) sdg -> sdg.getSbj() != null)
+			.write()
+			.mode(SaveMode.Overwrite)
+			.json(outputPath);
+
+	}
+
+}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/PrepareBipFinder.java

@@ -1,17 +1,17 @@
 
 package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
 
-import static eu.dnetlib.dhp.actionmanager.createunresolvedentities.Constants.*;
+import static eu.dnetlib.dhp.actionmanager.Constants.*;
-import static eu.dnetlib.dhp.actionmanager.createunresolvedentities.Constants.UPDATE_CLASS_NAME;
+import static eu.dnetlib.dhp.actionmanager.Constants.UPDATE_CLASS_NAME;
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 
 import java.io.Serializable;
+import java.util.Arrays;
 import java.util.List;
 import java.util.Optional;
 import java.util.stream.Collectors;
 
 import org.apache.commons.io.IOUtils;
-import org.apache.hadoop.hdfs.client.HdfsUtils;
 import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
@@ -24,14 +24,16 @@ import org.slf4j.LoggerFactory;
 
 import com.fasterxml.jackson.databind.ObjectMapper;
 
-import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.BipDeserialize;
+import eu.dnetlib.dhp.actionmanager.bipmodel.BipDeserialize;
-import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.BipScore;
+import eu.dnetlib.dhp.actionmanager.bipmodel.BipScore;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.common.HdfsSupport;
 import eu.dnetlib.dhp.schema.common.ModelConstants;
+import eu.dnetlib.dhp.schema.oaf.Instance;
 import eu.dnetlib.dhp.schema.oaf.KeyValue;
 import eu.dnetlib.dhp.schema.oaf.Measure;
 import eu.dnetlib.dhp.schema.oaf.Result;
+import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
 import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
 import eu.dnetlib.dhp.utils.DHPUtils;
 
@@ -40,7 +42,7 @@ public class PrepareBipFinder implements Serializable {
 	private static final Logger log = LoggerFactory.getLogger(PrepareBipFinder.class);
 	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
 
-	public static <I extends Result> void main(String[] args) throws Exception {
+	public static void main(String[] args) throws Exception {
 
 		String jsonConfiguration = IOUtils
 			.toString(
@@ -76,7 +78,7 @@ public class PrepareBipFinder implements Serializable {
 			});
 	}
 
-	private static <I extends Result> void prepareResults(SparkSession spark, String inputPath, String outputPath) {
+	private static void prepareResults(SparkSession spark, String inputPath, String outputPath) {
 
 		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
 
@@ -89,13 +91,44 @@ public class PrepareBipFinder implements Serializable {
 				BipScore bs = new BipScore();
 				bs.setId(key);
 				bs.setScoreList(entry.get(key));
+
 				return bs;
 			}).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class))
 			.map((MapFunction<BipScore, Result>) v -> {
 				Result r = new Result();
+				final String cleanedPid = CleaningFunctions.normalizePidValue(DOI, v.getId());
 
 				r.setId(DHPUtils.generateUnresolvedIdentifier(v.getId(), DOI));
-				r.setMeasures(getMeasure(v));
+				Instance inst = new Instance();
+				inst.setMeasures(getMeasure(v));
+
+				inst
+					.setPid(
+						Arrays
+							.asList(
+								OafMapperUtils
+									.structuredProperty(
+										cleanedPid,
+										OafMapperUtils
+											.qualifier(
+												DOI, DOI_CLASSNAME,
+												ModelConstants.DNET_PID_TYPES,
+												ModelConstants.DNET_PID_TYPES),
+										null)));
+				r.setInstance(Arrays.asList(inst));
+				r
+					.setDataInfo(
+						OafMapperUtils
+							.dataInfo(
+								false, null, true,
+								false,
+								OafMapperUtils
+									.qualifier(
+										ModelConstants.PROVENANCE_ENRICH,
+										null,
+										ModelConstants.DNET_PROVENANCE_ACTIONS,
+										ModelConstants.DNET_PROVENANCE_ACTIONS),
+								null));
 				return r;
 			}, Encoders.bean(Result.class))
 			.write()

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/PrepareFOSSparkJob.java

@@ -1,7 +1,7 @@
 
 package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
 
-import static eu.dnetlib.dhp.actionmanager.createunresolvedentities.Constants.*;
+import static eu.dnetlib.dhp.actionmanager.Constants.*;
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 
 import java.io.Serializable;
@@ -10,8 +10,8 @@ import java.util.stream.Collectors;
 
 import org.apache.commons.io.IOUtils;
 import org.apache.spark.SparkConf;
-import org.apache.spark.api.java.function.FlatMapFunction;
 import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.api.java.function.MapGroupsFunction;
 import org.apache.spark.sql.Dataset;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SaveMode;
@@ -67,20 +67,36 @@ public class PrepareFOSSparkJob implements Serializable {
 	private static void distributeFOSdois(SparkSession spark, String sourcePath, String outputPath) {
 		Dataset<FOSDataModel> fosDataset = readPath(spark, sourcePath, FOSDataModel.class);
 
-		fosDataset.flatMap((FlatMapFunction<FOSDataModel, FOSDataModel>) v -> {
+		fosDataset
-			List<FOSDataModel> fosList = new ArrayList<>();
+			.groupByKey((MapFunction<FOSDataModel, String>) v -> v.getDoi().toLowerCase(), Encoders.STRING())
-			final String level1 = v.getLevel1();
+			.mapGroups((MapGroupsFunction<String, FOSDataModel, Result>) (k, it) -> {
-			final String level2 = v.getLevel2();
-			final String level3 = v.getLevel3();
-			Arrays
-				.stream(v.getDoi().split("\u0002"))
-				.forEach(d -> fosList.add(FOSDataModel.newInstance(d, level1, level2, level3)));
-			return fosList.iterator();
-		}, Encoders.bean(FOSDataModel.class))
-			.map((MapFunction<FOSDataModel, Result>) value -> {
 				Result r = new Result();
-				r.setId(DHPUtils.generateUnresolvedIdentifier(value.getDoi(), DOI));
+				FOSDataModel first = it.next();
-				r.setSubject(getSubjects(value));
+				r.setId(DHPUtils.generateUnresolvedIdentifier(k, DOI));
+
+				HashSet<String> level1 = new HashSet<>();
+				HashSet<String> level2 = new HashSet<>();
+				HashSet<String> level3 = new HashSet<>();
+				addLevels(level1, level2, level3, first);
+				it.forEachRemaining(v -> addLevels(level1, level2, level3, v));
+				List<StructuredProperty> sbjs = new ArrayList<>();
+				level1.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
+				level2.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
+				level3.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
+				r.setSubject(sbjs);
+				r
+					.setDataInfo(
+						OafMapperUtils
+							.dataInfo(
+								false, null, true,
+								false,
+								OafMapperUtils
+									.qualifier(
+										ModelConstants.PROVENANCE_ENRICH,
+										null,
+										ModelConstants.DNET_PROVENANCE_ACTIONS,
+										ModelConstants.DNET_PROVENANCE_ACTIONS),
+								null));
 				return r;
 			}, Encoders.bean(Result.class))
 			.write()
@@ -89,45 +105,11 @@ public class PrepareFOSSparkJob implements Serializable {
 			.json(outputPath + "/fos");
 	}
 
-	private static List<StructuredProperty> getSubjects(FOSDataModel fos) {
+	private static void addLevels(HashSet<String> level1, HashSet<String> level2, HashSet<String> level3,
-		return Arrays
+		FOSDataModel first) {
-			.asList(getSubject(fos.getLevel1()), getSubject(fos.getLevel2()), getSubject(fos.getLevel3()))
+		level1.add(first.getLevel1());
-			.stream()
+		level2.add(first.getLevel2());
-			.filter(Objects::nonNull)
+		level3.add(first.getLevel3());
-			.collect(Collectors.toList());
-	}
-
-	private static StructuredProperty getSubject(String sbj) {
-		if (sbj.equals(NULL))
-			return null;
-		StructuredProperty sp = new StructuredProperty();
-		sp.setValue(sbj);
-		sp
-			.setQualifier(
-				OafMapperUtils
-					.qualifier(
-						FOS_CLASS_ID,
-						FOS_CLASS_NAME,
-						ModelConstants.DNET_SUBJECT_TYPOLOGIES,
-						ModelConstants.DNET_SUBJECT_TYPOLOGIES));
-		sp
-			.setDataInfo(
-				OafMapperUtils
-					.dataInfo(
-						false,
-						UPDATE_DATA_INFO_TYPE,
-						true,
-						false,
-						OafMapperUtils
-							.qualifier(
-								UPDATE_SUBJECT_FOS_CLASS_ID,
-								UPDATE_CLASS_NAME,
-								ModelConstants.DNET_PROVENANCE_ACTIONS,
-								ModelConstants.DNET_PROVENANCE_ACTIONS),
-						""));
-
-		return sp;
-
 	}
 
 }

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/PrepareSDGSparkJob.java

@@ -0,0 +1,104 @@
+
+package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
+
+import static eu.dnetlib.dhp.actionmanager.Constants.*;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.Serializable;
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.api.java.function.MapGroupsFunction;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Encoders;
+import org.apache.spark.sql.SaveMode;
+import org.apache.spark.sql.SparkSession;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.SDGDataModel;
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
+import eu.dnetlib.dhp.schema.oaf.Result;
+import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
+import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
+import eu.dnetlib.dhp.utils.DHPUtils;
+
+public class PrepareSDGSparkJob implements Serializable {
+	private static final Logger log = LoggerFactory.getLogger(PrepareSDGSparkJob.class);
+
+	public static void main(String[] args) throws Exception {
+
+		String jsonConfiguration = IOUtils
+			.toString(
+				PrepareSDGSparkJob.class
+					.getResourceAsStream(
+						"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/prepare_parameters.json"));
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
+
+		parser.parseArgument(args);
+
+		Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
+		log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
+
+		String sourcePath = parser.get("sourcePath");
+		log.info("sourcePath: {}", sourcePath);
+
+		final String outputPath = parser.get("outputPath");
+		log.info("outputPath: {}", outputPath);
+
+		SparkConf conf = new SparkConf();
+		runWithSparkSession(
+			conf,
+			isSparkSessionManaged,
+			spark -> {
+				doPrepare(
+					spark,
+					sourcePath,
+
+					outputPath);
+			});
+	}
+
+	private static void doPrepare(SparkSession spark, String sourcePath, String outputPath) {
+		Dataset<SDGDataModel> sdgDataset = readPath(spark, sourcePath, SDGDataModel.class);
+
+		sdgDataset
+			.groupByKey((MapFunction<SDGDataModel, String>) r -> r.getDoi().toLowerCase(), Encoders.STRING())
+			.mapGroups((MapGroupsFunction<String, SDGDataModel, Result>) (k, it) -> {
+				Result r = new Result();
+				r.setId(DHPUtils.generateUnresolvedIdentifier(k, DOI));
+				SDGDataModel first = it.next();
+				List<StructuredProperty> sbjs = new ArrayList<>();
+				sbjs.add(getSubject(first.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID));
+				it
+					.forEachRemaining(
+						s -> sbjs
+							.add(getSubject(s.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
+				r.setSubject(sbjs);
+				r
+					.setDataInfo(
+						OafMapperUtils
+							.dataInfo(
+								false, null, true,
+								false,
+								OafMapperUtils
+									.qualifier(
+										ModelConstants.PROVENANCE_ENRICH,
+										null,
+										ModelConstants.DNET_PROVENANCE_ACTIONS,
+										ModelConstants.DNET_PROVENANCE_ACTIONS),
+								null));
+				return r;
+			}, Encoders.bean(Result.class))
+			.write()
+			.mode(SaveMode.Overwrite)
+			.option("compression", "gzip")
+			.json(outputPath + "/sdg");
+	}
+
+}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/SparkSaveUnresolved.java

@@ -1,10 +1,11 @@
 
 package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
 
-import static eu.dnetlib.dhp.actionmanager.createunresolvedentities.Constants.*;
+import static eu.dnetlib.dhp.actionmanager.Constants.*;
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 
 import java.io.Serializable;
+import java.util.Optional;
 
 import org.apache.commons.io.IOUtils;
 import org.apache.spark.SparkConf;
@@ -20,7 +21,7 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.schema.oaf.Result;
 
 public class SparkSaveUnresolved implements Serializable {
-	private static final Logger log = LoggerFactory.getLogger(PrepareFOSSparkJob.class);
+	private static final Logger log = LoggerFactory.getLogger(SparkSaveUnresolved.class);
 
 	public static void main(String[] args) throws Exception {
 
@@ -64,10 +65,22 @@ public class SparkSaveUnresolved implements Serializable {
 			.map(
 				(MapFunction<String, Result>) l -> OBJECT_MAPPER.readValue(l, Result.class),
 				Encoders.bean(Result.class))
-			.groupByKey((MapFunction<Result, String>) r -> r.getId(), Encoders.STRING())
+			.groupByKey((MapFunction<Result, String>) Result::getId, Encoders.STRING())
 			.mapGroups((MapGroupsFunction<String, Result, Result>) (k, it) -> {
 				Result ret = it.next();
-				it.forEachRemaining(r -> ret.mergeFrom(r));
+				it.forEachRemaining(r -> {
+					if (r.getInstance() != null) {
+						ret.setInstance(r.getInstance());
+					}
+					if (r.getSubject() != null) {
+						if (ret.getSubject() != null)
+							ret.getSubject().addAll(r.getSubject());
+						else
+							ret.setSubject(r.getSubject());
+					}
+
+					// ret.mergeFrom(r)
+				});
 				return ret;
 			}, Encoders.bean(Result.class))
 			.write()

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/model/BipDeserialize.java

@@ -1,28 +0,0 @@
-
-package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
-
-import java.io.Serializable;
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-
-/**
- * Class that maps the model of the bipFinder! input data.
- * Only needed for deserialization purposes
- */
-
-public class BipDeserialize extends HashMap<String, List<Score>> implements Serializable {
-
-	public BipDeserialize() {
-		super();
-	}
-
-	public List<Score> get(String key) {
-
-		if (super.get(key) == null) {
-			return new ArrayList<>();
-		}
-		return super.get(key);
-	}
-
-}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/model/BipScore.java

@@ -1,30 +0,0 @@
-
-package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
-
-import java.io.Serializable;
-import java.util.List;
-
-/**
- * Rewriting of the bipFinder input data by extracting the identifier of the result (doi)
- */
-
-public class BipScore implements Serializable {
-	private String id; // doi
-	private List<Score> scoreList; // unit as given in the inputfile
-
-	public String getId() {
-		return id;
-	}
-
-	public void setId(String id) {
-		this.id = id;
-	}
-
-	public List<Score> getScoreList() {
-		return scoreList;
-	}
-
-	public void setScoreList(List<Score> scoreList) {
-		this.scoreList = scoreList;
-	}
-}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/model/FOSDataModel.java

@@ -6,19 +6,19 @@ import java.io.Serializable;
 import com.opencsv.bean.CsvBindByPosition;
 
 public class FOSDataModel implements Serializable {
-	@CsvBindByPosition(position = 1)
+	@CsvBindByPosition(position = 0)
 //    @CsvBindByName(column = "doi")
 	private String doi;
 
-	@CsvBindByPosition(position = 2)
+	@CsvBindByPosition(position = 1)
 //    @CsvBindByName(column = "level1")
 	private String level1;
 
-	@CsvBindByPosition(position = 3)
+	@CsvBindByPosition(position = 2)
 //    @CsvBindByName(column = "level2")
 	private String level2;
 
-	@CsvBindByPosition(position = 4)
+	@CsvBindByPosition(position = 3)
 //    @CsvBindByName(column = "level3")
 	private String level3;
 

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/model/KeyValue.java

@@ -1,26 +0,0 @@
-
-package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
-
-import java.io.Serializable;
-
-public class KeyValue implements Serializable {
-
-	private String key;
-	private String value;
-
-	public String getKey() {
-		return key;
-	}
-
-	public void setKey(String key) {
-		this.key = key;
-	}
-
-	public String getValue() {
-		return value;
-	}
-
-	public void setValue(String value) {
-		this.value = value;
-	}
-}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/model/SDGDataModel.java

@@ -0,0 +1,47 @@
+
+package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
+
+import java.io.Serializable;
+
+import com.opencsv.bean.CsvBindByPosition;
+
+public class SDGDataModel implements Serializable {
+
+	@CsvBindByPosition(position = 0)
+//    @CsvBindByName(column = "doi")
+	private String doi;
+
+	@CsvBindByPosition(position = 1)
+//    @CsvBindByName(column = "sdg")
+	private String sbj;
+
+	public SDGDataModel() {
+
+	}
+
+	public SDGDataModel(String doi, String sbj) {
+		this.doi = doi;
+		this.sbj = sbj;
+
+	}
+
+	public static SDGDataModel newInstance(String d, String sbj) {
+		return new SDGDataModel(d, sbj);
+	}
+
+	public String getDoi() {
+		return doi;
+	}
+
+	public void setDoi(String doi) {
+		this.doi = doi;
+	}
+
+	public String getSbj() {
+		return sbj;
+	}
+
+	public void setSbj(String sbj) {
+		this.sbj = sbj;
+	}
+}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/model/Score.java

@@ -1,30 +0,0 @@
-
-package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
-
-import java.io.Serializable;
-import java.util.List;
-
-/**
- * represents the score in the input file
- */
-public class Score implements Serializable {
-
-	private String id;
-	private List<KeyValue> unit;
-
-	public String getId() {
-		return id;
-	}
-
-	public void setId(String id) {
-		this.id = id;
-	}
-
-	public List<KeyValue> getUnit() {
-		return unit;
-	}
-
-	public void setUnit(List<KeyValue> unit) {
-		this.unit = unit;
-	}
-}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/opencitations/CreateActionSetSparkJob.java

@@ -14,6 +14,7 @@ import org.apache.hadoop.mapred.SequenceFileOutputFormat;
 import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.function.FilterFunction;
 import org.apache.spark.api.java.function.FlatMapFunction;
+import org.apache.spark.api.java.function.MapFunction;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SparkSession;
 import org.slf4j.Logger;
@@ -21,6 +22,7 @@ import org.slf4j.LoggerFactory;
 
 import com.fasterxml.jackson.databind.ObjectMapper;
 
+import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.schema.action.AtomicAction;
 import eu.dnetlib.dhp.schema.common.ModelConstants;
@@ -83,10 +85,13 @@ public class CreateActionSetSparkJob implements Serializable {
 	private static void extractContent(SparkSession spark, String inputPath, String outputPath,
 		boolean shouldDuplicateRels) {
 		spark
-			.sqlContext()
+			.read()
-			.createDataset(spark.sparkContext().textFile(inputPath + "/*", 6000), Encoders.STRING())
+			.textFile(inputPath + "/*")
+			.map(
+				(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
+				Encoders.bean(COCI.class))
 			.flatMap(
-				(FlatMapFunction<String, Relation>) value -> createRelation(value, shouldDuplicateRels).iterator(),
+				(FlatMapFunction<COCI, Relation>) value -> createRelation(value, shouldDuplicateRels).iterator(),
 				Encoders.bean(Relation.class))
 			.filter((FilterFunction<Relation>) value -> value != null)
 			.toJavaRDD()
@@ -98,26 +103,30 @@ public class CreateActionSetSparkJob implements Serializable {
 
 	}
 
-	private static List<Relation> createRelation(String value, boolean duplicate) {
+	private static List<Relation> createRelation(COCI value, boolean duplicate) {
-		String[] line = value.split(",");
+
-		if (!line[1].startsWith("10.")) {
-			return new ArrayList<>();
-		}
 		List<Relation> relationList = new ArrayList<>();
 
-		String citing = ID_PREFIX + IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", line[1]));
+		String citing = ID_PREFIX
-		final String cited = ID_PREFIX + IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", line[2]));
+			+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", value.getCiting()));
+		final String cited = ID_PREFIX
+			+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", value.getCited()));
 
-		relationList
+		if (!citing.equals(cited)) {
-			.addAll(
+			relationList
-				getRelations(
+				.addAll(
-					citing,
+					getRelations(
-					cited));
+						citing,
+						cited));
 
-		if (duplicate && line[1].endsWith(".refs")) {
+			if (duplicate && value.getCiting().endsWith(".refs")) {
-			citing = ID_PREFIX + IdentifierFactory
+				citing = ID_PREFIX + IdentifierFactory
-				.md5(CleaningFunctions.normalizePidValue("doi", line[1].substring(0, line[1].indexOf(".refs"))));
+					.md5(
-			relationList.addAll(getRelations(citing, cited));
+						CleaningFunctions
+							.normalizePidValue(
+								"doi", value.getCiting().substring(0, value.getCiting().indexOf(".refs"))));
+				relationList.addAll(getRelations(citing, cited));
+			}
 		}
 
 		return relationList;

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/opencitations/ReadCOCI.java

@@ -0,0 +1,103 @@
+
+package eu.dnetlib.dhp.actionmanager.opencitations;
+
+import static eu.dnetlib.dhp.actionmanager.Constants.DEFAULT_DELIMITER;
+import static eu.dnetlib.dhp.actionmanager.Constants.isSparkSessionManaged;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.IOException;
+import java.io.Serializable;
+import java.util.Optional;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.LocatedFileStatus;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.fs.RemoteIterator;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.sql.*;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class ReadCOCI implements Serializable {
+
+	private static final Logger log = LoggerFactory.getLogger(ReadCOCI.class);
+
+	public static void main(String[] args) throws Exception {
+		String jsonConfiguration = IOUtils
+			.toString(
+				ReadCOCI.class
+					.getResourceAsStream(
+						"/eu/dnetlib/dhp/actionmanager/opencitations/input_readcoci_parameters.json"));
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
+		parser.parseArgument(args);
+
+		final String outputPath = parser.get("outputPath");
+		log.info("outputPath: {}", outputPath);
+
+		final String[] inputFile = parser.get("inputFile").split(";");
+		log.info("inputFile {}", inputFile.toString());
+		Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
+		log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
+
+		final String workingPath = parser.get("workingPath");
+		log.info("workingPath {}", workingPath);
+
+		SparkConf sconf = new SparkConf();
+
+		final String delimiter = Optional
+			.ofNullable(parser.get("delimiter"))
+			.orElse(DEFAULT_DELIMITER);
+
+		runWithSparkSession(
+			sconf,
+			isSparkSessionManaged,
+			spark -> {
+				doRead(
+					spark,
+					workingPath,
+					inputFile,
+					outputPath,
+					delimiter);
+			});
+	}
+
+	private static void doRead(SparkSession spark, String workingPath, String[] inputFiles,
+		String outputPath,
+		String delimiter) throws IOException {
+
+		for (String inputFile : inputFiles) {
+			String p_string = workingPath + "/" + inputFile + ".gz";
+
+			Dataset<Row> cociData = spark
+				.read()
+				.format("csv")
+				.option("sep", delimiter)
+				.option("inferSchema", "true")
+				.option("header", "true")
+				.option("quotes", "\"")
+				.load(p_string)
+				.repartition(100);
+
+			cociData.map((MapFunction<Row, COCI>) row -> {
+				COCI coci = new COCI();
+				coci.setOci(row.getString(0));
+				coci.setCiting(row.getString(1));
+				coci.setCited(row.getString(2));
+				return coci;
+			}, Encoders.bean(COCI.class))
+				.write()
+				.mode(SaveMode.Overwrite)
+				.option("compression", "gzip")
+				.json(outputPath + inputFile);
+		}
+
+	}
+
+}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/opencitations/model/COCI.java

@@ -0,0 +1,39 @@
+
+package eu.dnetlib.dhp.actionmanager.opencitations.model;
+
+import java.io.Serializable;
+
+import com.opencsv.bean.CsvBindByPosition;
+
+public class COCI implements Serializable {
+	private String oci;
+
+	private String citing;
+
+	private String cited;
+
+	public String getOci() {
+		return oci;
+	}
+
+	public void setOci(String oci) {
+		this.oci = oci;
+	}
+
+	public String getCiting() {
+		return citing;
+	}
+
+	public void setCiting(String citing) {
+		this.citing = citing;
+	}
+
+	public String getCited() {
+		return cited;
+	}
+
+	public void setCited(String cited) {
+		this.cited = cited;
+	}
+
+}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/ror/GenerateRorActionSetJob.java

@@ -3,6 +3,7 @@ package eu.dnetlib.dhp.actionmanager.ror;
 
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 import static eu.dnetlib.dhp.schema.common.ModelConstants.ENTITYREGISTRY_PROVENANCE_ACTION;
+import static eu.dnetlib.dhp.schema.common.ModelConstants.ORG_ORG_RELTYPE;
 import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.dataInfo;
 import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.field;
 import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.listKeyValues;
@@ -29,8 +30,7 @@ import org.apache.hadoop.fs.Path;
 import org.apache.hadoop.io.Text;
 import org.apache.hadoop.mapred.SequenceFileOutputFormat;
 import org.apache.spark.SparkConf;
-import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.api.java.JavaRDD;
-import org.apache.spark.sql.Dataset;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SparkSession;
 import org.slf4j.Logger;
@@ -38,8 +38,8 @@ import org.slf4j.LoggerFactory;
 
 import com.fasterxml.jackson.databind.ObjectMapper;
 
-import eu.dnetlib.dhp.actionmanager.project.SparkAtomicActionJob;
 import eu.dnetlib.dhp.actionmanager.ror.model.ExternalIdType;
+import eu.dnetlib.dhp.actionmanager.ror.model.Relationship;
 import eu.dnetlib.dhp.actionmanager.ror.model.RorOrganization;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.common.HdfsSupport;
@@ -48,8 +48,10 @@ import eu.dnetlib.dhp.schema.common.ModelConstants;
 import eu.dnetlib.dhp.schema.oaf.DataInfo;
 import eu.dnetlib.dhp.schema.oaf.Field;
 import eu.dnetlib.dhp.schema.oaf.KeyValue;
+import eu.dnetlib.dhp.schema.oaf.Oaf;
 import eu.dnetlib.dhp.schema.oaf.Organization;
 import eu.dnetlib.dhp.schema.oaf.Qualifier;
+import eu.dnetlib.dhp.schema.oaf.Relation;
 import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
 import eu.dnetlib.dhp.utils.DHPUtils;
 import scala.Tuple2;
@@ -112,24 +114,21 @@ public class GenerateRorActionSetJob {
 		final String outputPath) throws IOException {
 
 		readInputPath(spark, inputPath)
-			.map(
+			.map(GenerateRorActionSetJob::convertRorOrg)
-				(MapFunction<RorOrganization, Organization>) GenerateRorActionSetJob::convertRorOrg,
+			.flatMap(List::iterator)
-				Encoders.bean(Organization.class))
-			.toJavaRDD()
-			.map(o -> new AtomicAction<>(Organization.class, o))
 			.mapToPair(
 				aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
 					new Text(OBJECT_MAPPER.writeValueAsString(aa))))
 			.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
 	}
 
-	protected static Organization convertRorOrg(final RorOrganization r) {
+	protected static List<AtomicAction<? extends Oaf>> convertRorOrg(final RorOrganization r) {
 
 		final Date now = new Date();
 
 		final Organization o = new Organization();
 
-		o.setId(String.format("20|%s::%s", ROR_NS_PREFIX, DHPUtils.md5(r.getId())));
+		o.setId(calculateOpenaireId(r.getId()));
 		o.setOriginalId(Arrays.asList(String.format("%s::%s", ROR_NS_PREFIX, r.getId())));
 		o.setCollectedfrom(ROR_COLLECTED_FROM);
 		o.setPid(pids(r));
@@ -166,7 +165,43 @@ public class GenerateRorActionSetJob {
 		o.setDataInfo(ROR_DATA_INFO);
 		o.setLastupdatetimestamp(now.getTime());
 
-		return o;
+		final List<AtomicAction<? extends Oaf>> res = new ArrayList<>();
+		res.add(new AtomicAction<>(Organization.class, o));
+
+		for (final Relationship rorRel : r.getRelationships()) {
+			if (rorRel.getType().equalsIgnoreCase("parent")) {
+				final String orgId1 = calculateOpenaireId(r.getId());
+				final String orgId2 = calculateOpenaireId(rorRel.getId());
+				res
+					.add(
+						new AtomicAction<>(Relation.class,
+							calculateHierarchyRel(orgId1, orgId2, ModelConstants.IS_PARENT_OF)));
+				res
+					.add(
+						new AtomicAction<>(Relation.class,
+							calculateHierarchyRel(orgId2, orgId1, ModelConstants.IS_CHILD_OF)));
+			}
+		}
+
+		return res;
+
+	}
+
+	private static Relation calculateHierarchyRel(final String source, final String target, final String relClass) {
+		final Relation rel = new Relation();
+		rel.setSource(source);
+		rel.setTarget(target);
+		rel.setRelType(ORG_ORG_RELTYPE);
+		rel.setSubRelType(ModelConstants.RELATIONSHIP);
+		rel.setRelClass(relClass);
+		rel.setCollectedfrom(ROR_COLLECTED_FROM);
+		rel.setDataInfo(ROR_DATA_INFO);
+		rel.setLastupdatetimestamp(System.currentTimeMillis());
+		return rel;
+	}
+
+	private static String calculateOpenaireId(final String rorId) {
+		return String.format("20|%s::%s", ROR_NS_PREFIX, DHPUtils.md5(rorId));
 	}
 
 	private static List<StructuredProperty> pids(final RorOrganization r) {
@@ -202,14 +237,14 @@ public class GenerateRorActionSetJob {
 			.collect(Collectors.toList());
 	}
 
-	private static Dataset<RorOrganization> readInputPath(
+	private static JavaRDD<RorOrganization> readInputPath(
 		final SparkSession spark,
 		final String path) throws IOException {
 
 		try (final FileSystem fileSystem = FileSystem.get(new Configuration());
 			final InputStream is = fileSystem.open(new Path(path))) {
 			final RorOrganization[] arr = OBJECT_MAPPER.readValue(is, RorOrganization[].class);
-			return spark.createDataset(Arrays.asList(arr), Encoders.bean(RorOrganization.class));
+			return spark.createDataset(Arrays.asList(arr), Encoders.bean(RorOrganization.class)).toJavaRDD();
 		}
 	}
 

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/scholix/SparkCreateActionset.scala

@@ -1,69 +0,0 @@
-package eu.dnetlib.dhp.actionmanager.scholix
-
-import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
-import org.apache.spark.SparkConf
-import org.apache.spark.sql._
-import org.slf4j.{Logger, LoggerFactory}
-
-import scala.io.Source
-
-object SparkCreateActionset {
-
-  def main(args: Array[String]): Unit = {
-    val log: Logger = LoggerFactory.getLogger(getClass)
-    val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/generate_actionset.json")).mkString)
-    parser.parseArgument(args)
-
-
-    val spark: SparkSession =
-      SparkSession
-        .builder()
-        .config(conf)
-        .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
-
-
-    val sourcePath = parser.get("sourcePath")
-    log.info(s"sourcePath  -> $sourcePath")
-
-    val targetPath = parser.get("targetPath")
-    log.info(s"targetPath  -> $targetPath")
-
-    val workingDirFolder = parser.get("workingDirFolder")
-    log.info(s"workingDirFolder  -> $workingDirFolder")
-
-    implicit val oafEncoders: Encoder[Oaf] = Encoders.kryo[Oaf]
-    implicit val resultEncoders: Encoder[Result] = Encoders.kryo[Result]
-    implicit val relationEncoders: Encoder[Relation] = Encoders.kryo[Relation]
-
-    import spark.implicits._
-
-    val relation = spark.read.load(s"$sourcePath/relation").as[Relation]
-
-    relation.filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
-      .flatMap(r => List(r.getSource, r.getTarget)).distinct().write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/id_relation")
-
-
-    val idRelation = spark.read.load(s"$workingDirFolder/id_relation").as[String]
-
-    log.info("extract source and target Identifier involved in relations")
-
-
-    log.info("save relation filtered")
-
-    relation.filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
-      .write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/actionSetOaf")
-
-    log.info("saving entities")
-
-    val entities: Dataset[(String, Result)] = spark.read.load(s"$sourcePath/entities/*").as[Result].map(p => (p.getId, p))(Encoders.tuple(Encoders.STRING, resultEncoders))
-
-    entities
-      .joinWith(idRelation, entities("_1").equalTo(idRelation("value")))
-      .map(p => p._1._2)
-      .write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
-  }
-
-}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/scholix/SparkSaveActionSet.scala

@@ -1,86 +0,0 @@
-package eu.dnetlib.dhp.actionmanager.scholix
-
-import com.fasterxml.jackson.databind.ObjectMapper
-import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.schema.action.AtomicAction
-import eu.dnetlib.dhp.schema.oaf.{Oaf, Dataset => OafDataset,Publication, Software, OtherResearchProduct, Relation}
-import org.apache.hadoop.io.Text
-import org.apache.hadoop.io.compress.GzipCodec
-import org.apache.hadoop.mapred.SequenceFileOutputFormat
-import org.apache.spark.SparkConf
-import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
-import org.slf4j.{Logger, LoggerFactory}
-
-import scala.io.Source
-
-object SparkSaveActionSet {
-
-
-  def toActionSet(item: Oaf): (String, String) = {
-    val mapper = new ObjectMapper()
-
-    item match {
-      case dataset: OafDataset =>
-        val a: AtomicAction[OafDataset] = new AtomicAction[OafDataset]
-        a.setClazz(classOf[OafDataset])
-        a.setPayload(dataset)
-        (dataset.getClass.getCanonicalName, mapper.writeValueAsString(a))
-      case publication: Publication =>
-        val a: AtomicAction[Publication] = new AtomicAction[Publication]
-        a.setClazz(classOf[Publication])
-        a.setPayload(publication)
-        (publication.getClass.getCanonicalName, mapper.writeValueAsString(a))
-      case software: Software =>
-        val a: AtomicAction[Software] = new AtomicAction[Software]
-        a.setClazz(classOf[Software])
-        a.setPayload(software)
-        (software.getClass.getCanonicalName, mapper.writeValueAsString(a))
-      case orp: OtherResearchProduct =>
-        val a: AtomicAction[OtherResearchProduct] = new AtomicAction[OtherResearchProduct]
-        a.setClazz(classOf[OtherResearchProduct])
-        a.setPayload(orp)
-        (orp.getClass.getCanonicalName, mapper.writeValueAsString(a))
-
-      case relation: Relation =>
-        val a: AtomicAction[Relation] = new AtomicAction[Relation]
-        a.setClazz(classOf[Relation])
-        a.setPayload(relation)
-        (relation.getClass.getCanonicalName, mapper.writeValueAsString(a))
-      case _ =>
-        null
-    }
-
-  }
-
-  def main(args: Array[String]): Unit = {
-    val log: Logger = LoggerFactory.getLogger(getClass)
-    val conf: SparkConf = new SparkConf()
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/save_actionset.json")).mkString)
-    parser.parseArgument(args)
-
-
-    val spark: SparkSession =
-      SparkSession
-        .builder()
-        .config(conf)
-        .appName(getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
-
-
-    val sourcePath = parser.get("sourcePath")
-    log.info(s"sourcePath  -> $sourcePath")
-
-    val targetPath = parser.get("targetPath")
-    log.info(s"targetPath  -> $targetPath")
-
-    implicit val oafEncoders: Encoder[Oaf] = Encoders.kryo[Oaf]
-    implicit val tEncoder: Encoder[(String, String)] = Encoders.tuple(Encoders.STRING, Encoders.STRING)
-
-    spark.read.load(sourcePath).as[Oaf]
-      .map(o => toActionSet(o))
-      .filter(o => o != null)
-      .rdd.map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$targetPath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text, Text]], classOf[GzipCodec])
-
-  }
-
-}

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

@@ -1,134 +0,0 @@
-package eu.dnetlib.dhp.datacite
-
-import eu.dnetlib.dhp.schema.common.ModelConstants
-import eu.dnetlib.dhp.schema.oaf.{DataInfo, KeyValue}
-import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
-
-import java.io.InputStream
-import java.time.format.DateTimeFormatter
-import java.util.Locale
-import java.util.regex.Pattern
-import scala.io.Source
-
-/**
- * This class represent the dataModel of the input Dataset of Datacite
- * @param doi THE DOI
- * @param timestamp timestamp of last update date
- * @param isActive the record is active or deleted
- * @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 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 TitleType(title: Option[String], titleType: Option[String], lang: Option[String]) {}
-
-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 DateType(date: Option[String], dateType: Option[String]) {}
-
-case class OAFRelations(relation:String, inverse:String, relType:String)
-
-
-class DataciteModelConstants extends Serializable {
-
-}
-
-object DataciteModelConstants {
-
-  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(
-    ModelConstants.REFERENCES ->            OAFRelations(ModelConstants.REFERENCES, ModelConstants.IS_REFERENCED_BY, ModelConstants.RELATIONSHIP),
-    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),
-    ModelConstants.IS_SUPPLEMENT_TO ->      OAFRelations(ModelConstants.IS_SUPPLEMENT_TO,ModelConstants.IS_SUPPLEMENTED_BY,ModelConstants.SUPPLEMENT),
-
-    ModelConstants.HAS_PART ->              OAFRelations(ModelConstants.HAS_PART,ModelConstants.IS_PART_OF, ModelConstants.PART),
-    ModelConstants.IS_PART_OF ->            OAFRelations(ModelConstants.IS_PART_OF,ModelConstants.HAS_PART, ModelConstants.PART),
-
-    ModelConstants.IS_VERSION_OF->          OAFRelations(ModelConstants.IS_VERSION_OF,ModelConstants.HAS_VERSION,ModelConstants.VERSION),
-    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)
-    Source.fromInputStream(stream).getLines().toList
-  }
-
-
-  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_it: DateTimeFormatter = 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_______::")
-
-  )
-
-  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),
-    //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),
-    //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),
-    //Y
-    Pattern.compile("(19|20)\\d\\d", Pattern.MULTILINE)
-  )
-
-
-}

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

@@ -1,394 +0,0 @@
-package eu.dnetlib.dhp.sx.bio
-
-import eu.dnetlib.dhp.schema.common.ModelConstants
-import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, OafMapperUtils}
-import eu.dnetlib.dhp.schema.oaf._
-import org.json4s.DefaultFormats
-import org.json4s.JsonAST.{JField, JObject, JString}
-import org.json4s.jackson.JsonMethods.{compact, parse, render}
-import collection.JavaConverters._
-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 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]) {}
-
-  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/",
-    "ncbi-n" -> "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/",
-    "ena" -> "https://www.ebi.ac.uk/ena/browser/view/",
-    "clinicaltrials.gov" -> "https://clinicaltrials.gov/ct2/show/",
-    "onim" -> "https://omim.org/entry/",
-    "refseq" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "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 enaCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|re3data_____::c2a591f440598b63d854556beaf01591", "European Nucleotide Archive")
-    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)
-    ElsevierCollectedFrom.setDataInfo(DATA_INFO)
-    EBICollectedFrom.setDataInfo(DATA_INFO)
-    pubmedCollectedFrom.setDataInfo(DATA_INFO)
-    enaCollectedFrom.setDataInfo(DATA_INFO)
-    ncbiCollectedFrom.setDataInfo(DATA_INFO)
-    springerNatureCollectedFrom.setDataInfo(DATA_INFO)
-
-    Map(
-      "uniprot" -> UNIPROTCollectedFrom,
-      "pdb" -> PDBCollectedFrom,
-      "elsevier" -> ElsevierCollectedFrom,
-      "ebi" -> EBICollectedFrom,
-      "Springer Nature" -> springerNatureCollectedFrom,
-      "NCBI Nucleotide" -> ncbiCollectedFrom,
-      "European Nucleotide Archive" -> enaCollectedFrom,
-      "Europe PMC" -> pubmedCollectedFrom
-    )
-  }
-
-  def crossrefLinksToOaf(input: String): Oaf = {
-    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
-    lazy val json = parse(input)
-    val source_pid = (json \ "Source" \ "Identifier" \ "ID").extract[String].toLowerCase
-    val source_pid_type = (json \ "Source" \ "Identifier" \ "IDScheme").extract[String].toLowerCase
-
-    val target_pid = (json \ "Target" \ "Identifier" \ "ID").extract[String].toLowerCase
-    val target_pid_type = (json \ "Target" \ "Identifier" \ "IDScheme").extract[String].toLowerCase
-
-    val relation_semantic = (json \ "RelationshipType" \ "Name").extract[String]
-
-    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)
-
-  }
-
-
-  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)
-      ).asJava
-    )
-
-    d.setDataInfo(DATA_INFO)
-
-    val nsPrefix = input.pidType.toLowerCase.padTo(12, '_')
-    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.setOriginalId(List(input.pid).asJava)
-    val i = new Instance
-
-    i.setPid(d.getPid)
-
-    if (resolvedURL.contains(input.pidType)) {
-      i.setUrl(List(s"${resolvedURL(input.pidType)}${input.pid}").asJava)
-    }
-
-    if (input.pidType.equalsIgnoreCase("clinicaltrials.gov"))
-      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))
-
-    if (input.datasource == null || input.datasource.isEmpty)
-      return null
-
-    val ds = input.datasource.head
-    d.setCollectedfrom(List(collectedFromMap(ds)).asJava)
-    i.setCollectedfrom(collectedFromMap(ds))
-    d.setInstance(List(i).asJava)
-
-    if (input.authors != null && input.authors.nonEmpty) {
-      val authors = input.authors.map(a => {
-        val authorOAF = new Author
-        authorOAF.setFullname(a)
-        authorOAF
-      })
-      d.setAuthor(authors.asJava)
-    }
-    if (input.date != null && input.date.nonEmpty) {
-      val dt = input.date.head
-      i.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
-      d.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
-    }
-    d
-  }
-
-
-  def uniprotToOAF(input: String): List[Oaf] = {
-    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
-    lazy val json = parse(input)
-    val pid = (json \ "pid").extract[String]
-
-    val d = new Dataset
-
-    d.setPid(
-      List(
-        OafMapperUtils.structuredProperty(pid, "uniprot", "uniprot", ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, DATA_INFO)
-      ).asJava
-    )
-
-    d.setDataInfo(DATA_INFO)
-    d.setId(OafMapperUtils.createOpenaireId(50, s"uniprot_____::$pid", true))
-    d.setCollectedfrom(List(collectedFromMap("uniprot")).asJava)
-
-    val title: String = (json \ "title").extractOrElse[String](null)
-
-    if (title != null)
-      d.setTitle(List(OafMapperUtils.structuredProperty(title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)).asJava)
-
-    d.setOriginalId(List(pid).asJava)
-    val i = new Instance
-
-    i.setPid(d.getPid)
-    i.setUrl(List(s"https://www.uniprot.org/uniprot/$pid").asJava)
-    i.setInstancetype(OafMapperUtils.qualifier("0046", "Bioentity", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
-
-    i.setCollectedfrom(collectedFromMap("uniprot"))
-    d.setInstance(List(i).asJava)
-
-    val dates: List[UniprotDate] = for {
-      JObject(dateOBJ) <- json \ "dates"
-      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 =>
-          OafMapperUtils.structuredProperty(s, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, null)
-        ).asJava)
-    }
-    var i_date: Option[UniprotDate] = None
-
-    if (dates.nonEmpty) {
-      i_date = dates.find(d => d.date_info.contains("entry version"))
-      if (i_date.isDefined) {
-        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"))
-        .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"
-      JField("PubMed", JString(pid)) <- reference
-    } yield pid
-
-    val references_doi: List[String] = for {
-      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)
-      rel.getCollectedfrom
-      List(d, rel)
-    }
-    else if (references_doi != null && references_doi.nonEmpty) {
-      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)
-      List(d, rel)
-    }
-    else
-      List(d)
-  }
-
-
-  def generate_unresolved_id(pid: String, pidType: String): String = {
-    s"unresolved::$pid::$pidType"
-  }
-
-
-  def createRelation(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)
-    rel.setDataInfo(DATA_INFO)
-
-    rel.setRelType(ModelConstants.RESULT_RESULT)
-    rel.setSubRelType(subRelType)
-    rel.setRelClass(relClass)
-
-    rel.setSource(sourceId)
-    rel.setTarget(s"unresolved::$pid::$pidType")
-
-
-    val dateProps: KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date)
-
-    rel.setProperties(List(dateProps).asJava)
-
-    rel.getTarget.startsWith("unresolved")
-    rel.setCollectedfrom(List(collectedFrom).asJava)
-    rel
-
-  }
-
-
-  def createSupplementaryRelation(pid: String, 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)
-    val pdb = (json \ "pdb").extract[String].toLowerCase
-
-    if (pdb.isEmpty)
-      return List()
-
-    val d = new Dataset
-
-    d.setPid(
-      List(
-        OafMapperUtils.structuredProperty(pdb, "pdb", "Protein Data Bank Identifier", ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, DATA_INFO)
-      ).asJava
-    )
-
-    d.setCollectedfrom(List(collectedFromMap("pdb")).asJava)
-    d.setDataInfo(DATA_INFO)
-    d.setId(OafMapperUtils.createOpenaireId(50, s"pdb_________::$pdb", true))
-    d.setOriginalId(List(pdb).asJava)
-
-    val title = (json \ "title").extractOrElse[String](null)
-
-    if (title == null)
-      return List()
-    d.setTitle(List(OafMapperUtils.structuredProperty(title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)).asJava)
-
-    val authors: List[String] = (json \ "authors").extractOrElse[List[String]](null)
-
-    if (authors != null) {
-      val convertedAuthors = authors.zipWithIndex.map { a =>
-
-        val res = new Author
-        res.setFullname(a._1)
-        res.setRank(a._2 + 1)
-        res
-      }
-
-      d.setAuthor(convertedAuthors.asJava)
-    }
-
-    val i = new Instance
-
-    i.setPid(d.getPid)
-    i.setUrl(List(s"https://www.rcsb.org/structure/$pdb").asJava)
-    i.setInstancetype(OafMapperUtils.qualifier("0046", "Bioentity", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE))
-
-    i.setCollectedfrom(collectedFromMap("pdb"))
-    d.setInstance(List(i).asJava)
-
-    val pmid = (json \ "pmid").extractOrElse[String](null)
-
-    if (pmid != null)
-      List(d, createSupplementaryRelation(pmid, "pmid", d.getId, collectedFromMap("pdb"), null))
-    else
-      List(d)
-  }
-
-
-  def extractEBILinksFromDump(input: String): EBILinkItem = {
-    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
-    lazy val json = parse(input)
-
-    val pmid = (json \ "publication" \ "pmid").extract[String]
-    val links = (json \ "links").extract[JObject]
-    EBILinkItem(pmid.toLong, compact(render(links)))
-  }
-
-
-  def EBITargetLinksFilter(input: EBILinks): Boolean = {
-
-    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"
-      JField("Target", JObject(target)) <- link
-      JField("RelationshipType", JObject(relType)) <- link
-      JField("Name", JString(relation)) <- relType
-      JField("PublicationDate", JString(publicationDate)) <- link
-      JField("Title", JString(title)) <- target
-      JField("Identifier", JObject(identifier)) <- target
-      JField("IDScheme", JString(idScheme)) <- identifier
-      JField("IDURL", JString(idUrl)) <- identifier
-      JField("ID", JString(id)) <- identifier
-
-    } 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)
-
-    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)
-      ).asJava
-    )
-
-    val i = new Instance
-
-    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.setCollectedfrom(collectedFromMap("ebi"))
-    d.setInstance(List(i).asJava)
-    i.setDateofacceptance(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)))
-  }
-}

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

@@ -1,146 +0,0 @@
-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()
-
-  override def hasNext: Boolean = currentArticle!= null
-
-  override def next(): PMArticle = {
-    val tmp = currentArticle
-    currentArticle = generateNextArticle()
-    tmp
-  }
-
-  def extractAttributes(attrs:MetaData, key:String):String = {
-
-    val res = attrs.get(key)
-    if (res.isDefined) {
-      val s =res.get
-      if (s != null && s.nonEmpty)
-        s.head.text
-      else
-        null
-    }
-    else null
-  }
-
-
-  def validate_Date(year:String, month:String, day:String):String = {
-    try {
-      f"${year.toInt}-${month.toInt}%02d-${day.toInt}%02d"
-
-    } catch {
-      case _: Throwable =>null
-    }
-  }
-
-  def generateNextArticle():PMArticle = {
-
-
-    var currentSubject:PMSubject = null
-    var currentAuthor: PMAuthor = null
-    var currentJournal: PMJournal = null
-    var currentGrant: PMGrant = null
-    var currNode: String = null
-    var currentYear = "0"
-    var currentMonth = "01"
-    var currentDay = "01"
-    var currentArticleType:String = null
-
-
-
-
-
-
-    while (xml.hasNext) {
-      xml.next match {
-        case EvElemStart(_, label, attrs, _) =>
-          currNode = label
-
-          label match {
-            case "PubmedArticle" => currentArticle = new PMArticle
-            case "Author" => currentAuthor = new PMAuthor
-            case "Journal" => currentJournal = new PMJournal
-            case "Grant" => currentGrant = new PMGrant
-            case "PublicationType" | "DescriptorName" =>
-              currentSubject = new PMSubject
-              currentSubject.setMeshId(extractAttributes(attrs, "UI"))
-            case "ArticleId" => currentArticleType = extractAttributes(attrs,"IdType")
-            case _ =>
-          }
-        case EvElemEnd(_, label) =>
-          label match {
-            case "PubmedArticle" => return currentArticle
-            case "Author" => currentArticle.getAuthors.add(currentAuthor)
-            case "Journal" => currentArticle.setJournal(currentJournal)
-            case "Grant" => currentArticle.getGrants.add(currentGrant)
-            case "PubMedPubDate" => if (currentArticle.getDate== null)
-              currentArticle.setDate(validate_Date(currentYear,currentMonth,currentDay))
-            case "PubDate" => currentJournal.setDate(s"$currentYear-$currentMonth-$currentDay")
-            case "DescriptorName" => currentArticle.getSubjects.add(currentSubject)
-            case "PublicationType" =>currentArticle.getPublicationTypes.add(currentSubject)
-            case _ =>
-          }
-        case EvText(text) =>
-          if (currNode!= null && text.trim.nonEmpty)
-            currNode match {
-              case "ArticleTitle" => {
-                if (currentArticle.getTitle==null)
-                  currentArticle.setTitle(text.trim)
-                else
-                  currentArticle.setTitle(currentArticle.getTitle + text.trim)
-              }
-              case "AbstractText" => {
-                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 "Language" => currentArticle.setLanguage(text.trim)
-              case "ISSN" => currentJournal.setIssn(text.trim)
-              case "GrantID" => currentGrant.setGrantID(text.trim)
-              case "Agency" => currentGrant.setAgency(text.trim)
-              case "Country" => if (currentGrant != null) currentGrant.setCountry(text.trim)
-              case "Year" => currentYear = text.trim
-              case "Month" => currentMonth = text.trim
-              case "Day" => currentDay = 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)
-                currentAuthor.setForeName(text.trim)
-              case "Title" =>
-                if (currentJournal.getTitle==null)
-                  currentJournal.setTitle(text.trim)
-                else
-                  currentJournal.setTitle(currentJournal.getTitle + text.trim)
-              case _ =>
-
-            }
-        case _ =>
-      }
-
-    }
-    null
-  }
-}
-
-
-
-
-

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json

@@ -1,32 +0,0 @@
-[
-  {
-    "paramName": "issm",
-    "paramLongName": "isSparkSessionManaged",
-    "paramDescription": "when true will stop SparkSession after job execution",
-    "paramRequired": false
-  },
-  {
-    "paramName": "ip",
-    "paramLongName": "inputPath",
-    "paramDescription": "the URL from where to get the programme file",
-    "paramRequired": true
-  },
-  {
-    "paramName": "o",
-    "paramLongName": "outputPath",
-    "paramDescription": "the path of the new ActionSet",
-    "paramRequired": true
-  },
-  {
-    "paramName": "rtn",
-    "paramLongName": "resultTableName",
-    "paramDescription": "the path of the new ActionSet",
-    "paramRequired": true
-  },
-  {
-    "paramName": "bsp",
-    "paramLongName": "bipScorePath",
-    "paramDescription": "the path of the new ActionSet",
-    "paramRequired": true
-  }
-]

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml

@@ -1,9 +1,5 @@
 <workflow-app name="BipFinderScore" xmlns="uri:oozie:workflow:0.5">
     <parameters>
-        <property>
-            <name>inputPath</name>
-            <description>the input path of the resources to be extended</description>
-        </property>
 
         <property>
             <name>bipScorePath</name>
@@ -13,8 +9,61 @@
             <name>outputPath</name>
             <description>the path where to store the actionset</description>
         </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+        <property>
+            <name>oozieActionShareLibForSpark2</name>
+            <description>oozie action sharelib for spark 2.*</description>
+        </property>
+        <property>
+            <name>spark2ExtraListeners</name>
+            <value>com.cloudera.spark.lineage.NavigatorAppListener</value>
+            <description>spark 2.* extra listeners classname</description>
+        </property>
+        <property>
+            <name>spark2SqlQueryExecutionListeners</name>
+            <value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
+            <description>spark 2.* sql query execution listeners classname</description>
+        </property>
+        <property>
+            <name>spark2YarnHistoryServerAddress</name>
+            <description>spark 2.* yarn history server address</description>
+        </property>
+        <property>
+            <name>spark2EventLogDir</name>
+            <description>spark 2.* event log dir location</description>
+        </property>
     </parameters>
 
+    <global>
+        <job-tracker>${jobTracker}</job-tracker>
+        <name-node>${nameNode}</name-node>
+        <configuration>
+            <property>
+                <name>mapreduce.job.queuename</name>
+                <value>${queueName}</value>
+            </property>
+            <property>
+                <name>oozie.launcher.mapred.job.queue.name</name>
+                <value>${oozieLauncherQueueName}</value>
+            </property>
+            <property>
+                <name>oozie.action.sharelib.for.spark</name>
+                <value>${oozieActionShareLibForSpark2}</value>
+            </property>
+
+        </configuration>
+    </global>
     <start to="deleteoutputpath"/>
     <kill name="Kill">
         <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
@@ -30,14 +79,8 @@
         <error to="Kill"/>
     </action>
 
-    <fork name="atomicactions">
-        <path start="atomicactions_publication"/>
-        <path start="atomicactions_dataset"/>
-        <path start="atomicactions_orp"/>
-        <path start="atomicactions_software"/>
-    </fork>
 
-    <action name="atomicactions_publication">
+    <action name="atomicactions">
         <spark xmlns="uri:oozie:spark-action:0.2">
             <master>yarn</master>
             <mode>cluster</mode>
@@ -54,113 +97,7 @@
                 --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
                 --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
             </spark-opts>
-            <arg>--inputPath</arg><arg>${inputPath}/publication</arg>
+            <arg>--inputPath</arg><arg>${bipScorePath}</arg>
-            <arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
-            <arg>--outputPath</arg><arg>${workingDir}/publication</arg>
-            <arg>--bipScorePath</arg><arg>${bipScorePath}</arg>
-        </spark>
-        <ok to="join_aa"/>
-        <error to="Kill"/>
-    </action>
-
-    <action name="atomicactions_dataset">
-        <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn</master>
-            <mode>cluster</mode>
-            <name>Produces the atomic action with the bip finder scores for datasets</name>
-            <class>eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob</class>
-            <jar>dhp-aggregation-${projectVersion}.jar</jar>
-            <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
-                --conf spark.extraListeners=${spark2ExtraListeners}
-                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
-                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
-                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
-                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
-            </spark-opts>
-            <arg>--inputPath</arg><arg>${inputPath}/dataset</arg>
-            <arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
-            <arg>--outputPath</arg><arg>${workingDir}/dataset</arg>
-            <arg>--bipScorePath</arg><arg>${bipScorePath}</arg>
-        </spark>
-        <ok to="join_aa"/>
-        <error to="Kill"/>
-    </action>
-
-    <action name="atomicactions_orp">
-        <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn</master>
-            <mode>cluster</mode>
-            <name>Produces the atomic action with the bip finder scores for orp</name>
-            <class>eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob</class>
-            <jar>dhp-aggregation-${projectVersion}.jar</jar>
-            <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
-                --conf spark.extraListeners=${spark2ExtraListeners}
-                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
-                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
-                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
-                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
-            </spark-opts>
-            <arg>--inputPath</arg><arg>${inputPath}/otherresearchproduct</arg>
-            <arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
-            <arg>--outputPath</arg><arg>${workingDir}/otherresearchproduct</arg>
-            <arg>--bipScorePath</arg><arg>${bipScorePath}</arg>
-        </spark>
-        <ok to="join_aa"/>
-        <error to="Kill"/>
-    </action>
-
-    <action name="atomicactions_software">
-        <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn</master>
-            <mode>cluster</mode>
-            <name>Produces the atomic action with the bip finder scores for software</name>
-            <class>eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob</class>
-            <jar>dhp-aggregation-${projectVersion}.jar</jar>
-            <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
-                --conf spark.extraListeners=${spark2ExtraListeners}
-                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
-                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
-                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
-                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
-            </spark-opts>
-            <arg>--inputPath</arg><arg>${inputPath}/software</arg>
-            <arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
-            <arg>--outputPath</arg><arg>${workingDir}/software</arg>
-            <arg>--bipScorePath</arg><arg>${bipScorePath}</arg>
-        </spark>
-        <ok to="join_aa"/>
-        <error to="Kill"/>
-    </action>
-
-    <join name="join_aa" to="collectandsave"/>
-
-    <action name="collectandsave">
-        <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn</master>
-            <mode>cluster</mode>
-            <name>saves all the aa produced for the several types of results in the as output path</name>
-            <class>eu.dnetlib.dhp.actionmanager.bipfinder.CollectAndSave</class>
-            <jar>dhp-aggregation-${projectVersion}.jar</jar>
-            <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
-                --conf spark.extraListeners=${spark2ExtraListeners}
-                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
-                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
-                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
-                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
-            </spark-opts>
-            <arg>--inputPath</arg><arg>${workingDir}</arg>
             <arg>--outputPath</arg><arg>${outputPath}</arg>
         </spark>
         <ok to="End"/>

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/createunresolvedentities/get_input_parameters.json

@@ -19,15 +19,9 @@
     "paramRequired": false
   },
   {
-    "paramName": "hnn",
+    "paramName": "d",
-    "paramLongName": "hdfsNameNode",
+    "paramLongName": "delimiter",
-    "paramDescription": "the path used to store the HostedByMap",
+    "paramDescription": "the delimiter if different from the default one (,)",
-    "paramRequired": true
+    "paramRequired": false
-  },
-  {
-    "paramName": "cfn",
-    "paramLongName": "classForName",
-    "paramDescription": "the path used to store the HostedByMap",
-    "paramRequired": true
   }
 ]

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/createunresolvedentities/oozie_app/workflow.xml

@@ -79,6 +79,7 @@
     <fork name="prepareInfo">
         <path start="prepareBip"/>
         <path start="getFOS"/>
+        <path start="getSDG"/>
     </fork>
 
     <action name="prepareBip">
@@ -106,17 +107,30 @@
     </action>
 
     <action name="getFOS">
-        <java>
+        <spark xmlns="uri:oozie:spark-action:0.2">
-            <main-class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.GetFOSData</main-class>
+            <master>yarn</master>
-            <arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
+            <mode>cluster</mode>
+            <name>Gets Data from FOS csv file</name>
+            <class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.GetFOSSparkJob</class>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
+            </spark-opts>
             <arg>--sourcePath</arg><arg>${fosPath}</arg>
             <arg>--outputPath</arg><arg>${workingDir}/input/fos</arg>
-            <arg>--classForName</arg><arg>eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel</arg>
+        </spark>
-        </java>
         <ok to="prepareFos"/>
         <error to="Kill"/>
     </action>
 
+
     <action name="prepareFos">
         <spark xmlns="uri:oozie:spark-action:0.2">
             <master>yarn</master>
@@ -142,6 +156,55 @@
         <error to="Kill"/>
     </action>
 
+    <action name="getSDG">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Gets Data from SDG csv file</name>
+            <class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.GetSDGSparkJob</class>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${sdgPath}</arg>
+            <arg>--outputPath</arg><arg>${workingDir}/input/sdg</arg>
+        </spark>
+        <ok to="prepareSDG"/>
+        <error to="Kill"/>
+    </action>
+
+
+    <action name="prepareSDG">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Produces the unresolved from FOS!</name>
+            <class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareSDGSparkJob</class>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${workingDir}/input/sdg</arg>
+            <arg>--outputPath</arg><arg>${workingDir}/prepared</arg>
+
+        </spark>
+        <ok to="join"/>
+        <error to="Kill"/>
+    </action>
 
 
     <join name="join" to="produceUnresolved"/>

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/opencitations/input_readcoci_parameters.json

@@ -0,0 +1,37 @@
+[
+  {
+    "paramName": "wp",
+    "paramLongName": "workingPath",
+    "paramDescription": "the zipped opencitations file",
+    "paramRequired": true
+  },
+
+
+  {
+    "paramName": "issm",
+    "paramLongName": "isSparkSessionManaged",
+    "paramDescription": "the hdfs name node",
+    "paramRequired": false
+  },
+  {
+    "paramName": "d",
+    "paramLongName": "delimiter",
+    "paramDescription": "the hdfs name node",
+    "paramRequired": false
+  },
+  {
+    "paramName": "op",
+    "paramLongName": "outputPath",
+    "paramDescription": "the hdfs name node",
+    "paramRequired": true
+  },
+  {
+    "paramName": "if",
+    "paramLongName": "inputFile",
+    "paramDescription": "the hdfs name node",
+    "paramRequired": true
+  }
+]
+
+
+

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/opencitations/oozie_app/workflow.xml

@@ -26,6 +26,7 @@
         <switch>
             <case to="download">${wf:conf('resumeFrom') eq 'DownloadDump'}</case>
             <case to="extract">${wf:conf('resumeFrom') eq 'ExtractContent'}</case>
+            <case to="read">${wf:conf('resumeFrom') eq 'ReadContent'}</case>
             <default to="create_actionset"/> <!-- first action to be done when downloadDump is to be performed -->
         </switch>
     </decision>
@@ -60,6 +61,32 @@
             <arg>--inputFile</arg><arg>${inputFile}</arg>
             <arg>--workingPath</arg><arg>${workingPath}</arg>
         </java>
+        <ok to="read"/>
+        <error to="Kill"/>
+    </action>
+
+    <action name="read">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Produces the AS for OC</name>
+            <class>eu.dnetlib.dhp.actionmanager.opencitations.ReadCOCI</class>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
+            </spark-opts>
+            <arg>--workingPath</arg><arg>${workingPath}/COCI</arg>
+            <arg>--outputPath</arg><arg>${workingPath}/COCI_JSON</arg>
+            <arg>--delimiter</arg><arg>${delimiter}</arg>
+            <arg>--inputFile</arg><arg>${inputFileCoci}</arg>
+        </spark>
         <ok to="create_actionset"/>
         <error to="Kill"/>
     </action>
@@ -81,7 +108,7 @@
                 --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
                 --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
             </spark-opts>
-            <arg>--inputPath</arg><arg>${workingPath}/COCI</arg>
+            <arg>--inputPath</arg><arg>${workingPath}/COCI_JSON</arg>
             <arg>--outputPath</arg><arg>${outputPath}</arg>
         </spark>
         <ok to="End"/>

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/datacite/create_updated_hb_map.py

@@ -0,0 +1,63 @@
+from urllib.request import urlopen
+import json
+
+
+def retrieve_datacite_clients(base_url):
+    datacite_clients = {}
+    while base_url is not None:
+        with urlopen(base_url) as response:
+            print(f"requesting {base_url}")
+            response_content = response.read()
+            data = json.loads(response_content)
+            if 'data' in data and len(data['data'])>0:
+                for item in data['data']:
+                    datacite_clients[item['id'].lower()]= item['attributes']['re3data'].lower().replace("https://doi.org/","")
+                base_url = data['links']['next']
+            else:
+                base_url = None
+    return datacite_clients
+
+
+def retrieve_r3data(start_url):
+    r3data_clients = {}
+    page_number = 1
+    base_url = start_url
+    while base_url is not None:
+        with urlopen(base_url) as response:
+            print(f"requesting {base_url}")
+            response_content = response.read()
+            data = json.loads(response_content)
+            if 'data' in data and len(data['data'])>0:
+                for item in data['data']:
+                    r3data_clients[item['id'].lower()]= dict(
+                        openaire_id= "re3data_____::"+item['attributes']['re3dataId'].lower(),
+                    official_name=item['attributes']['repositoryName']
+                    )
+                page_number +=1
+                base_url = f"{start_url}&page[number]={page_number}"
+            else:
+                base_url = None
+    return r3data_clients
+
+
+
+
+
+
+base_url ="https://api.datacite.org/clients?query=re3data_id:*&page[size]=250"
+
+dc = retrieve_datacite_clients(base_url)
+r3 = retrieve_r3data("https://api.datacite.org/re3data?page[size]=250")
+
+result = {}
+
+for item in dc:
+    res = dc[item].lower()
+    if res not in r3:
+        print(f"missing {res} for {item} in dictionary")
+    else:
+        result[item.upper()]= dict(openaire_id=r3[res]["openaire_id"],datacite_name=r3[res]["official_name"], official_name=r3[res]["official_name"] )
+
+
+with open('hostedBy_map.json', 'w', encoding='utf8') as json_file:
+    json.dump(result, json_file, ensure_ascii=False, indent=1)

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/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 timeout = 600; // 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 =>

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
@@ -16,15 +16,17 @@ 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

@@ -0,0 +1,278 @@
+package eu.dnetlib.dhp.datacite
+
+import eu.dnetlib.dhp.schema.common.ModelConstants
+import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
+import eu.dnetlib.dhp.schema.oaf.{DataInfo, KeyValue}
+
+import java.io.InputStream
+import java.time.format.DateTimeFormatter
+import java.util.Locale
+import java.util.regex.Pattern
+import scala.io.Source
+
+/** This class represent the dataModel of the input Dataset of Datacite
+  * @param doi THE DOI
+  * @param timestamp timestamp of last update date
+  * @param isActive the record is active or deleted
+  * @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 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 TitleType(title: Option[String], titleType: Option[String], lang: Option[String]) {}
+
+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 DateType(date: Option[String], dateType: Option[String]) {}
+
+case class OAFRelations(relation: String, inverse: String, relType: String)
+
+class DataciteModelConstants extends Serializable {}
+
+object DataciteModelConstants {
+
+  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(
+    ModelConstants.REFERENCES -> OAFRelations(
+      ModelConstants.REFERENCES,
+      ModelConstants.IS_REFERENCED_BY,
+      ModelConstants.RELATIONSHIP
+    ),
+    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
+    ),
+    ModelConstants.IS_SUPPLEMENT_TO -> OAFRelations(
+      ModelConstants.IS_SUPPLEMENT_TO,
+      ModelConstants.IS_SUPPLEMENTED_BY,
+      ModelConstants.SUPPLEMENT
+    ),
+    ModelConstants.HAS_PART -> OAFRelations(
+      ModelConstants.HAS_PART,
+      ModelConstants.IS_PART_OF,
+      ModelConstants.PART
+    ),
+    ModelConstants.IS_PART_OF -> OAFRelations(
+      ModelConstants.IS_PART_OF,
+      ModelConstants.HAS_PART,
+      ModelConstants.PART
+    ),
+    ModelConstants.IS_VERSION_OF -> OAFRelations(
+      ModelConstants.IS_VERSION_OF,
+      ModelConstants.HAS_VERSION,
+      ModelConstants.VERSION
+    ),
+    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)
+    Source.fromInputStream(stream).getLines().toList
+  }
+
+  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_it: DateTimeFormatter =
+    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_______::"
+    )
+  )
+
+  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
+    ),
+    //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
+    ),
+    //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
+    ),
+    //Y
+    Pattern.compile("(19|20)\\d\\d", Pattern.MULTILINE)
+  )
+
+}

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

@@ -6,7 +6,7 @@ import eu.dnetlib.dhp.datacite.DataciteModelConstants._
 import eu.dnetlib.dhp.schema.action.AtomicAction
 import eu.dnetlib.dhp.schema.common.ModelConstants
 import eu.dnetlib.dhp.schema.oaf.utils.{IdentifierFactory, OafMapperUtils}
-import eu.dnetlib.dhp.schema.oaf.{AccessRight, Author, DataInfo, Instance, KeyValue, Oaf, OtherResearchProduct, Publication, Qualifier, Relation, Result, Software, StructuredProperty, Dataset => OafDataset}
+import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset, _}
 import eu.dnetlib.dhp.utils.DHPUtils
 import org.apache.commons.lang3.StringUtils
 import org.json4s.DefaultFormats
@@ -19,19 +19,39 @@ import java.time.chrono.ThaiBuddhistDate
 import java.time.format.DateTimeFormatter
 import java.util.{Date, Locale}
 import scala.collection.JavaConverters._
-
+import scala.io.{Codec, Source}
 
 object DataciteToOAFTransformation {
 
+  case class HostedByMapType(
+    openaire_id: String,
+    datacite_name: String,
+    official_name: String,
+    similarity: Option[Float]
+  ) {}
+
   val mapper = new ObjectMapper()
 
+  val unknown_repository: HostedByMapType = HostedByMapType(
+    ModelConstants.UNKNOWN_REPOSITORY_ORIGINALID,
+    ModelConstants.UNKNOWN_REPOSITORY.getValue,
+    ModelConstants.UNKNOWN_REPOSITORY.getValue,
+    Some(1.0f)
+  )
 
-  /**
+  val hostedByMap: Map[String, HostedByMapType] = {
-   * This method should skip record if json contains invalid text
+    val s = Source.fromInputStream(getClass.getResourceAsStream("hostedBy_map.json")).mkString
-   * defined in gile datacite_filter
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
-   * @param json
+    lazy val json: org.json4s.JValue = parse(s)
-   * @return True if the record should be skipped
+    json.extract[Map[String, HostedByMapType]]
-   */
+  }
+
+  /** 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
+    */
   def skip_record(json: String): Boolean = {
     datacite_filter.exists(f => json.contains(f))
   }
@@ -73,43 +93,43 @@ 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
   }
 
-  def fix_thai_date(input:String, format:String) :String = {
+  def fix_thai_date(input: String, format: String): String = {
     try {
-      val a_date = LocalDate.parse(input,DateTimeFormatter.ofPattern(format))
+      val a_date = LocalDate.parse(input, DateTimeFormatter.ofPattern(format))
       val d = ThaiBuddhistDate.of(a_date.getYear, a_date.getMonth.getValue, a_date.getDayOfMonth)
       LocalDate.from(d).toString
     } catch {
@@ -117,31 +137,63 @@ 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
@@ -167,13 +219,12 @@ 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
 
@@ -181,18 +232,19 @@ 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()
@@ -200,10 +252,8 @@ 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)}"
@@ -213,7 +263,13 @@ 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)
@@ -225,7 +281,6 @@ object DataciteToOAFTransformation {
     r.setDataInfo(di)
     r
 
-
   }
 
   def get_projectRelation(awardUri: String, sourceId: String): List[Relation] = {
@@ -236,15 +291,19 @@ object DataciteToOAFTransformation {
       val p = match_pattern.get._2
       val grantId = m.matcher(awardUri).replaceAll("$2")
       val targetId = s"$p${DHPUtils.md5(grantId)}"
-      List( generateRelation(sourceId, targetId, "isProducedBy", DATACITE_COLLECTED_FROM, dataInfo) )
+      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()
 
@@ -252,7 +311,8 @@ 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]
@@ -264,8 +324,12 @@ 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))
@@ -274,48 +338,70 @@ 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()
@@ -335,47 +421,82 @@ object DataciteToOAFTransformation {
       .map(d => d.get)
 
     if (a_date.isDefined) {
-      if(doi.startsWith("10.14457"))
+      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")) {
+      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")) {
-      if(doi.startsWith("10.14457")) {
+        result.setDateofacceptance(
-        result.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-$publication_year","[dd-MM-yyyy]"), null))
+        )
+        result
+          .getInstance()
+          .get(0)
+          .setDateofacceptance(
+            OafMapperUtils.field(fix_thai_date(s"01-01-$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)
 
@@ -383,66 +504,83 @@ 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))
+      val hb = hostedByMap.getOrElse(client.get.toUpperCase(), unknown_repository)
+      instance.setHostedby(OafMapperUtils.keyValue(generateDSId(hb.openaire_id), hb.official_name))
+
       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)
 
@@ -451,28 +589,35 @@ 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
@@ -484,24 +629,24 @@ object DataciteToOAFTransformation {
         rel.setSubRelType(subRelType)
         rel.setRelClass(r.relationType)
 
-        val dateProps:KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date)
+        val dateProps: KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date)
 
         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/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

@@ -0,0 +1,597 @@
+package eu.dnetlib.dhp.sx.bio
+
+import eu.dnetlib.dhp.schema.common.ModelConstants
+import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, OafMapperUtils}
+import eu.dnetlib.dhp.schema.oaf._
+import org.json4s.DefaultFormats
+import org.json4s.JsonAST.{JField, JObject, JString}
+import org.json4s.jackson.JsonMethods.{compact, parse, render}
+import collection.JavaConverters._
+
+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 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]
+  ) {}
+
+  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/",
+    "ncbi-n"             -> "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/",
+    "ena"                -> "https://www.ebi.ac.uk/ena/browser/view/",
+    "clinicaltrials.gov" -> "https://clinicaltrials.gov/ct2/show/",
+    "onim"               -> "https://omim.org/entry/",
+    "refseq"             -> "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "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 enaCollectedFrom: KeyValue = OafMapperUtils.keyValue(
+      "10|re3data_____::c2a591f440598b63d854556beaf01591",
+      "European Nucleotide Archive"
+    )
+    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)
+    ElsevierCollectedFrom.setDataInfo(DATA_INFO)
+    EBICollectedFrom.setDataInfo(DATA_INFO)
+    pubmedCollectedFrom.setDataInfo(DATA_INFO)
+    enaCollectedFrom.setDataInfo(DATA_INFO)
+    ncbiCollectedFrom.setDataInfo(DATA_INFO)
+    springerNatureCollectedFrom.setDataInfo(DATA_INFO)
+
+    Map(
+      "uniprot"                     -> UNIPROTCollectedFrom,
+      "pdb"                         -> PDBCollectedFrom,
+      "elsevier"                    -> ElsevierCollectedFrom,
+      "ebi"                         -> EBICollectedFrom,
+      "Springer Nature"             -> springerNatureCollectedFrom,
+      "NCBI Nucleotide"             -> ncbiCollectedFrom,
+      "European Nucleotide Archive" -> enaCollectedFrom,
+      "Europe PMC"                  -> pubmedCollectedFrom
+    )
+  }
+
+  def crossrefLinksToOaf(input: String): Oaf = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    lazy val json = parse(input)
+    val source_pid = (json \ "Source" \ "Identifier" \ "ID").extract[String].toLowerCase
+    val source_pid_type = (json \ "Source" \ "Identifier" \ "IDScheme").extract[String].toLowerCase
+
+    val target_pid = (json \ "Target" \ "Identifier" \ "ID").extract[String].toLowerCase
+    val target_pid_type = (json \ "Target" \ "Identifier" \ "IDScheme").extract[String].toLowerCase
+
+    val relation_semantic = (json \ "RelationshipType" \ "Name").extract[String]
+
+    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
+    )
+
+  }
+
+  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
+        )
+      ).asJava
+    )
+
+    d.setDataInfo(DATA_INFO)
+
+    val nsPrefix = input.pidType.toLowerCase.padTo(12, '_')
+    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.setOriginalId(List(input.pid).asJava)
+    val i = new Instance
+
+    i.setPid(d.getPid)
+
+    if (resolvedURL.contains(input.pidType)) {
+      i.setUrl(List(s"${resolvedURL(input.pidType)}${input.pid}").asJava)
+    }
+
+    if (input.pidType.equalsIgnoreCase("clinicaltrials.gov"))
+      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
+        )
+      )
+
+    if (input.datasource == null || input.datasource.isEmpty)
+      return null
+
+    val ds = input.datasource.head
+    d.setCollectedfrom(List(collectedFromMap(ds)).asJava)
+    i.setCollectedfrom(collectedFromMap(ds))
+    d.setInstance(List(i).asJava)
+
+    if (input.authors != null && input.authors.nonEmpty) {
+      val authors = input.authors.map(a => {
+        val authorOAF = new Author
+        authorOAF.setFullname(a)
+        authorOAF
+      })
+      d.setAuthor(authors.asJava)
+    }
+    if (input.date != null && input.date.nonEmpty) {
+      val dt = input.date.head
+      i.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
+      d.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
+    }
+    d
+  }
+
+  def uniprotToOAF(input: String): List[Oaf] = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    lazy val json = parse(input)
+    val pid = (json \ "pid").extract[String]
+
+    val d = new Dataset
+
+    d.setPid(
+      List(
+        OafMapperUtils.structuredProperty(
+          pid,
+          "uniprot",
+          "uniprot",
+          ModelConstants.DNET_PID_TYPES,
+          ModelConstants.DNET_PID_TYPES,
+          DATA_INFO
+        )
+      ).asJava
+    )
+
+    d.setDataInfo(DATA_INFO)
+    d.setId(OafMapperUtils.createOpenaireId(50, s"uniprot_____::$pid", true))
+    d.setCollectedfrom(List(collectedFromMap("uniprot")).asJava)
+
+    val title: String = (json \ "title").extractOrElse[String](null)
+
+    if (title != null)
+      d.setTitle(
+        List(
+          OafMapperUtils.structuredProperty(title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)
+        ).asJava
+      )
+
+    d.setOriginalId(List(pid).asJava)
+    val i = new Instance
+
+    i.setPid(d.getPid)
+    i.setUrl(List(s"https://www.uniprot.org/uniprot/$pid").asJava)
+    i.setInstancetype(
+      OafMapperUtils.qualifier(
+        "0046",
+        "Bioentity",
+        ModelConstants.DNET_PUBLICATION_RESOURCE,
+        ModelConstants.DNET_PUBLICATION_RESOURCE
+      )
+    )
+
+    i.setCollectedfrom(collectedFromMap("uniprot"))
+    d.setInstance(List(i).asJava)
+
+    val dates: List[UniprotDate] = for {
+      JObject(dateOBJ)                        <- json \ "dates"
+      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 =>
+            OafMapperUtils.structuredProperty(
+              s,
+              SUBJ_CLASS,
+              SUBJ_CLASS,
+              ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+              ModelConstants.DNET_SUBJECT_TYPOLOGIES,
+              null
+            )
+          )
+          .asJava
+      )
+    }
+    var i_date: Option[UniprotDate] = None
+
+    if (dates.nonEmpty) {
+      i_date = dates.find(d => d.date_info.contains("entry version"))
+      if (i_date.isDefined) {
+        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"))
+        .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"
+      JField("PubMed", JString(pid)) <- reference
+    } yield pid
+
+    val references_doi: List[String] = for {
+      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
+      )
+      rel.getCollectedfrom
+      List(d, rel)
+    } else if (references_doi != null && references_doi.nonEmpty) {
+      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
+      )
+      List(d, rel)
+    } else
+      List(d)
+  }
+
+  def generate_unresolved_id(pid: String, pidType: String): String = {
+    s"unresolved::$pid::$pidType"
+  }
+
+  def createRelation(
+    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)
+    rel.setDataInfo(DATA_INFO)
+
+    rel.setRelType(ModelConstants.RESULT_RESULT)
+    rel.setSubRelType(subRelType)
+    rel.setRelClass(relClass)
+
+    rel.setSource(sourceId)
+    rel.setTarget(s"unresolved::$pid::$pidType")
+
+    val dateProps: KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date)
+
+    rel.setProperties(List(dateProps).asJava)
+
+    rel.getTarget.startsWith("unresolved")
+    rel.setCollectedfrom(List(collectedFrom).asJava)
+    rel
+
+  }
+
+  def createSupplementaryRelation(
+    pid: String,
+    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)
+    val pdb = (json \ "pdb").extract[String].toLowerCase
+
+    if (pdb.isEmpty)
+      return List()
+
+    val d = new Dataset
+
+    d.setPid(
+      List(
+        OafMapperUtils.structuredProperty(
+          pdb,
+          "pdb",
+          "Protein Data Bank Identifier",
+          ModelConstants.DNET_PID_TYPES,
+          ModelConstants.DNET_PID_TYPES,
+          DATA_INFO
+        )
+      ).asJava
+    )
+
+    d.setCollectedfrom(List(collectedFromMap("pdb")).asJava)
+    d.setDataInfo(DATA_INFO)
+    d.setId(OafMapperUtils.createOpenaireId(50, s"pdb_________::$pdb", true))
+    d.setOriginalId(List(pdb).asJava)
+
+    val title = (json \ "title").extractOrElse[String](null)
+
+    if (title == null)
+      return List()
+    d.setTitle(
+      List(
+        OafMapperUtils.structuredProperty(title, ModelConstants.MAIN_TITLE_QUALIFIER, DATA_INFO)
+      ).asJava
+    )
+
+    val authors: List[String] = (json \ "authors").extractOrElse[List[String]](null)
+
+    if (authors != null) {
+      val convertedAuthors = authors.zipWithIndex.map { a =>
+        val res = new Author
+        res.setFullname(a._1)
+        res.setRank(a._2 + 1)
+        res
+      }
+
+      d.setAuthor(convertedAuthors.asJava)
+    }
+
+    val i = new Instance
+
+    i.setPid(d.getPid)
+    i.setUrl(List(s"https://www.rcsb.org/structure/$pdb").asJava)
+    i.setInstancetype(
+      OafMapperUtils.qualifier(
+        "0046",
+        "Bioentity",
+        ModelConstants.DNET_PUBLICATION_RESOURCE,
+        ModelConstants.DNET_PUBLICATION_RESOURCE
+      )
+    )
+
+    i.setCollectedfrom(collectedFromMap("pdb"))
+    d.setInstance(List(i).asJava)
+
+    val pmid = (json \ "pmid").extractOrElse[String](null)
+
+    if (pmid != null)
+      List(d, createSupplementaryRelation(pmid, "pmid", d.getId, collectedFromMap("pdb"), null))
+    else
+      List(d)
+  }
+
+  def extractEBILinksFromDump(input: String): EBILinkItem = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    lazy val json = parse(input)
+
+    val pmid = (json \ "publication" \ "pmid").extract[String]
+    val links = (json \ "links").extract[JObject]
+    EBILinkItem(pmid.toLong, compact(render(links)))
+  }
+
+  def EBITargetLinksFilter(input: EBILinks): Boolean = {
+
+    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"
+      JField("Target", JObject(target))                   <- link
+      JField("RelationshipType", JObject(relType))        <- link
+      JField("Name", JString(relation))                   <- relType
+      JField("PublicationDate", JString(publicationDate)) <- link
+      JField("Title", JString(title))                     <- target
+      JField("Identifier", JObject(identifier))           <- target
+      JField("IDScheme", JString(idScheme))               <- identifier
+      JField("IDURL", JString(idUrl))                     <- identifier
+      JField("ID", JString(id))                           <- identifier
+
+    } 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
+    )
+
+    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
+        )
+      ).asJava
+    )
+
+    val i = new Instance
+
+    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.setCollectedfrom(collectedFromMap("ebi"))
+    d.setInstance(List(i).asJava)
+    i.setDateofacceptance(
+      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)
+      )
+    )
+  }
+}

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

@@ -1,9 +1,8 @@
 package eu.dnetlib.dhp.sx.bio.ebi
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
 import eu.dnetlib.dhp.sx.bio.BioDBToOAF.EBILinkItem
-import eu.dnetlib.dhp.sx.bio.pubmed.PMJournal
+import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
 import org.apache.commons.io.IOUtils
 import org.apache.http.client.config.RequestConfig
 import org.apache.http.client.methods.HttpGet
@@ -26,10 +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
@@ -40,8 +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 =>
@@ -67,14 +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._
 
@@ -88,22 +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
@@ -113,6 +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

@@ -0,0 +1,133 @@
+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()
+
+  override def hasNext: Boolean = currentArticle != null
+
+  override def next(): PMArticle = {
+    val tmp = currentArticle
+    currentArticle = generateNextArticle()
+    tmp
+  }
+
+  def extractAttributes(attrs: MetaData, key: String): String = {
+
+    val res = attrs.get(key)
+    if (res.isDefined) {
+      val s = res.get
+      if (s != null && s.nonEmpty)
+        s.head.text
+      else
+        null
+    } else null
+  }
+
+  def validate_Date(year: String, month: String, day: String): String = {
+    try {
+      f"${year.toInt}-${month.toInt}%02d-${day.toInt}%02d"
+
+    } catch {
+      case _: Throwable => null
+    }
+  }
+
+  def generateNextArticle(): PMArticle = {
+
+    var currentSubject: PMSubject = null
+    var currentAuthor: PMAuthor = null
+    var currentJournal: PMJournal = null
+    var currentGrant: PMGrant = null
+    var currNode: String = null
+    var currentYear = "0"
+    var currentMonth = "01"
+    var currentDay = "01"
+    var currentArticleType: String = null
+
+    while (xml.hasNext) {
+      xml.next match {
+        case EvElemStart(_, label, attrs, _) =>
+          currNode = label
+
+          label match {
+            case "PubmedArticle" => currentArticle = new PMArticle
+            case "Author"        => currentAuthor = new PMAuthor
+            case "Journal"       => currentJournal = new PMJournal
+            case "Grant"         => currentGrant = new PMGrant
+            case "PublicationType" | "DescriptorName" =>
+              currentSubject = new PMSubject
+              currentSubject.setMeshId(extractAttributes(attrs, "UI"))
+            case "ArticleId" => currentArticleType = extractAttributes(attrs, "IdType")
+            case _           =>
+          }
+        case EvElemEnd(_, label) =>
+          label match {
+            case "PubmedArticle" => return currentArticle
+            case "Author"        => currentArticle.getAuthors.add(currentAuthor)
+            case "Journal"       => currentArticle.setJournal(currentJournal)
+            case "Grant"         => currentArticle.getGrants.add(currentGrant)
+            case "PubMedPubDate" =>
+              if (currentArticle.getDate == null)
+                currentArticle.setDate(validate_Date(currentYear, currentMonth, currentDay))
+            case "PubDate"         => currentJournal.setDate(s"$currentYear-$currentMonth-$currentDay")
+            case "DescriptorName"  => currentArticle.getSubjects.add(currentSubject)
+            case "PublicationType" => currentArticle.getPublicationTypes.add(currentSubject)
+            case _                 =>
+          }
+        case EvText(text) =>
+          if (currNode != null && text.trim.nonEmpty)
+            currNode match {
+              case "ArticleTitle" => {
+                if (currentArticle.getTitle == null)
+                  currentArticle.setTitle(text.trim)
+                else
+                  currentArticle.setTitle(currentArticle.getTitle + text.trim)
+              }
+              case "AbstractText" => {
+                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 "Language"                           => currentArticle.setLanguage(text.trim)
+              case "ISSN"                               => currentJournal.setIssn(text.trim)
+              case "GrantID"                            => currentGrant.setGrantID(text.trim)
+              case "Agency"                             => currentGrant.setAgency(text.trim)
+              case "Country"                            => if (currentGrant != null) currentGrant.setCountry(text.trim)
+              case "Year"                               => currentYear = text.trim
+              case "Month"                              => currentMonth = text.trim
+              case "Day"                                => currentDay = 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)
+                  currentAuthor.setForeName(text.trim)
+              case "Title" =>
+                if (currentJournal.getTitle == null)
+                  currentJournal.setTitle(text.trim)
+                else
+                  currentJournal.setTitle(currentJournal.getTitle + text.trim)
+              case _ =>
+
+            }
+        case _ =>
+      }
+
+    }
+    null
+  }
+}

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

@@ -4,36 +4,43 @@ import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
 import eu.dnetlib.dhp.schema.common.ModelConstants
 import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType}
 import eu.dnetlib.dhp.schema.oaf._
-import scala.collection.JavaConverters._
+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 =
+    OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
 
-  /**
+  /** Cleaning the DOI Applying regex in order to
-   * Cleaning the DOI Applying regex in order to
+    * remove doi starting with URL
-   * remove doi starting with URL
+    *
-   * @param doi input DOI
+    * @param doi input DOI
-   * @return cleaned 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
@@ -83,42 +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
+    */
-   *
+  def getVocabularyTerm(
-   * @return the cleaned term value
+    vocabularyName: String,
-   */
+    vocabularies: VocabularyGroup,
-  def getVocabularyTerm(vocabularyName: String, vocabularies: VocabularyGroup, term: String): Qualifier = {
+    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
-   *
+    * @return The OAF instance if the mapping did not fail
-   * @param article the pubmed articles
+    */
-   * @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
 
@@ -127,7 +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
@@ -135,10 +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
@@ -157,7 +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))
@@ -167,7 +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)
@@ -175,7 +201,6 @@ object PubMedToOaf {
     //END INSTANCE MAPPING
     //--------------------------------------------------------------------------------------
 
-
     // JOURNAL MAPPING
     //--------------------------------------------------------------------------------------
     if (article.getJournal != null && result.isInstanceOf[Publication])
@@ -184,32 +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)
@@ -219,15 +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)
@@ -237,5 +275,4 @@ object PubMedToOaf {
     result
   }
 
-
 }

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

@@ -0,0 +1,345 @@
+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-aggregation/src/site/markdown/index.md

@@ -16,5 +16,5 @@ It defines [mappings](mappings.md) for transformation of different datasource (S
 
 ### Integration of external information in the result
 
-The workflows create new entity in the OpenAIRE format (OAF) which aim is to enrich the result already contained in the graph.
+The workflows create new entity in the OpenAIRE format (OAF) whose aim is to enrich the result already contained in the graph.
 See integration section for more insight

dhp-workflows/dhp-aggregation/src/site/markdown/integration.md

@@ -9,7 +9,7 @@ The information integrated so far is:
 1. Article impact measures
     1. [Bip!Finder](https://dl.acm.org/doi/10.1145/3357384.3357850) scores
 2. Result Subjects
-    1. Integration of Fields od Science and Techonology ([FOS](https://www.qnrf.org/en-us/FOS))  classification in
+    1. Integration of Fields of Science and Techonology ([FOS](https://www.qnrf.org/en-us/FOS))  classification in
     results subjects.
 
 
@@ -18,7 +18,7 @@ and the element in the OAF model that should be used to map the information we w
 
 The id is set by using a particular encoding of the given PID
 
-*unresolved:[pid]:[pidtype]*
+*unresolved::[pid]::[pidtype]*
 
 where
 
@@ -31,6 +31,6 @@ Such entities are matched against those available in the graph using the result.
 This mechanism can be used to integrate enrichments produced as associated by a given PID.
 If a match will be found with one of the results already in the graph that said result will be enriched with the information
 present in the new OAF.
-All the objects for which a match is not found are discarded.
+All the entities for which a match is not found are discarded.
 
 

dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java

@@ -28,6 +28,7 @@ import com.fasterxml.jackson.databind.ObjectMapper;
 
 import eu.dnetlib.dhp.schema.action.AtomicAction;
 import eu.dnetlib.dhp.schema.oaf.Publication;
+import eu.dnetlib.dhp.schema.oaf.Result;
 
 public class SparkAtomicActionScoreJobTest {
 
@@ -69,13 +70,9 @@ public class SparkAtomicActionScoreJobTest {
 	}
 
 	@Test
-	void matchOne() throws Exception {
+	void testMatch() throws Exception {
 		String bipScoresPath = getClass()
-			.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json")
+			.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores_oid.json")
-			.getPath();
-		String inputPath = getClass()
-			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json")
 			.getPath();
 
 		SparkAtomicActionScoreJob
@@ -84,234 +81,57 @@ public class SparkAtomicActionScoreJobTest {
 					"-isSparkSessionManaged",
 					Boolean.FALSE.toString(),
 					"-inputPath",
-					inputPath,
+
-					"-bipScorePath",
 					bipScoresPath,
-					"-resultTableName",
+
-					"eu.dnetlib.dhp.schema.oaf.Publication",
 					"-outputPath",
 					workingDir.toString() + "/actionSet"
 				});
 
 		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
-		JavaRDD<Publication> tmp = sc
+		JavaRDD<Result> tmp = sc
 			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
 			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
-			.map(aa -> ((Publication) aa.getPayload()));
+			.map(aa -> ((Result) aa.getPayload()));
 
-		assertEquals(1, tmp.count());
+		assertEquals(4, tmp.count());
 
-		Dataset<Publication> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
+		Dataset<Result> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Result.class));
-		verificationDataset.createOrReplaceTempView("publication");
+		verificationDataset.createOrReplaceTempView("result");
 
 		Dataset<Row> execVerification = spark
 			.sql(
-				"Select p.id oaid, mes.id, mUnit.value from publication p " +
+				"Select p.id oaid, mes.id, mUnit.value from result p " +
 					"lateral view explode(measures) m as mes " +
 					"lateral view explode(mes.unit) u as mUnit ");
 
-		Assertions.assertEquals(2, execVerification.count());
+		Assertions.assertEquals(12, execVerification.count());
-
 		Assertions
 			.assertEquals(
-				"50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb",
+				"6.63451994567e-09", execVerification
-				execVerification.select("oaid").collectAsList().get(0).getString(0));
-
-		Assertions
-			.assertEquals(
-				"1.47565045883e-08",
-				execVerification.filter("id = 'influence'").select("value").collectAsList().get(0).getString(0));
-
-		Assertions
-			.assertEquals(
-				"0.227515392",
-				execVerification.filter("id = 'popularity'").select("value").collectAsList().get(0).getString(0));
-
-	}
-
-	@Test
-	void matchOneWithTwo() throws Exception {
-		String bipScoresPath = getClass()
-			.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json")
-			.getPath();
-		String inputPath = getClass()
-			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json")
-			.getPath();
-
-		SparkAtomicActionScoreJob
-			.main(
-				new String[] {
-					"-isSparkSessionManaged",
-					Boolean.FALSE.toString(),
-					"-inputPath",
-					inputPath,
-					"-bipScorePath",
-					bipScoresPath,
-					"-resultTableName",
-					"eu.dnetlib.dhp.schema.oaf.Publication",
-					"-outputPath",
-					workingDir.toString() + "/actionSet"
-				});
-
-		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
-
-		JavaRDD<Publication> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
-			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
-			.map(aa -> ((Publication) aa.getPayload()));
-
-		assertEquals(1, tmp.count());
-
-		Dataset<Publication> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
-		verificationDataset.createOrReplaceTempView("publication");
-
-		Dataset<Row> execVerification = spark
-			.sql(
-				"Select p.id oaid, mes.id, mUnit.value from publication p " +
-					"lateral view explode(measures) m as mes " +
-					"lateral view explode(mes.unit) u as mUnit ");
-
-		Assertions.assertEquals(4, execVerification.count());
-
-		Assertions
-			.assertEquals(
-				"50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb",
-				execVerification.select("oaid").collectAsList().get(0).getString(0));
-
-		Assertions
-			.assertEquals(
-				2,
-				execVerification.filter("id = 'influence'").count());
-
-		Assertions
-			.assertEquals(
-				2,
-				execVerification.filter("id = 'popularity'").count());
-
-		List<Row> tmp_ds = execVerification.filter("id = 'influence'").select("value").collectAsList();
-		String tmp_influence = tmp_ds.get(0).getString(0);
-		assertTrue(
-			"1.47565045883e-08".equals(tmp_influence) ||
-				"1.98956540239e-08".equals(tmp_influence));
-
-		tmp_influence = tmp_ds.get(1).getString(0);
-		assertTrue(
-			"1.47565045883e-08".equals(tmp_influence) ||
-				"1.98956540239e-08".equals(tmp_influence));
-
-		assertNotEquals(tmp_ds.get(1).getString(0), tmp_ds.get(0).getString(0));
-
-	}
-
-	@Test
-	void matchTwo() throws Exception {
-		String bipScoresPath = getClass()
-			.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json")
-			.getPath();
-		String inputPath = getClass()
-			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json")
-			.getPath();
-
-		SparkAtomicActionScoreJob
-			.main(
-				new String[] {
-					"-isSparkSessionManaged",
-					Boolean.FALSE.toString(),
-					"-inputPath",
-					inputPath,
-					"-bipScorePath",
-					bipScoresPath,
-					"-resultTableName",
-					"eu.dnetlib.dhp.schema.oaf.Publication",
-					"-outputPath",
-					workingDir.toString() + "/actionSet"
-				});
-
-		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
-
-		JavaRDD<Publication> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
-			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
-			.map(aa -> ((Publication) aa.getPayload()));
-
-		assertEquals(2, tmp.count());
-
-		Dataset<Publication> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
-		verificationDataset.createOrReplaceTempView("publication");
-
-		Dataset<Row> execVerification = spark
-			.sql(
-				"Select p.id oaid, mes.id, mUnit.value from publication p " +
-					"lateral view explode(measures) m as mes " +
-					"lateral view explode(mes.unit) u as mUnit ");
-
-		Assertions.assertEquals(4, execVerification.count());
-
-		Assertions
-			.assertEquals(
-				2,
-				execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb'").count());
-
-		Assertions
-			.assertEquals(
-				2,
-				execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09'").count());
-
-		Assertions
-			.assertEquals(
-				2,
-				execVerification.filter("id = 'influence'").count());
-
-		Assertions
-			.assertEquals(
-				2,
-				execVerification.filter("id = 'popularity'").count());
-
-		Assertions
-			.assertEquals(
-				"1.47565045883e-08",
-				execVerification
 					.filter(
-						"oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " +
+						"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
 							"and id = 'influence'")
 					.select("value")
 					.collectAsList()
 					.get(0)
 					.getString(0));
-
 		Assertions
 			.assertEquals(
-				"1.98956540239e-08",
+				"0.348694533145", execVerification
-				execVerification
 					.filter(
-						"oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " +
+						"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
-							"and id = 'influence'")
+							"and id = 'popularity_alt'")
 					.select("value")
 					.collectAsList()
 					.get(0)
 					.getString(0));
-
 		Assertions
 			.assertEquals(
-				"0.282046161584",
+				"2.16094680115e-09", execVerification
-				execVerification
 					.filter(
-						"oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " +
+						"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
-							"and id = 'popularity'")
-					.select("value")
-					.collectAsList()
-					.get(0)
-					.getString(0));
-
-		Assertions
-			.assertEquals(
-				"0.227515392",
-				execVerification
-					.filter(
-						"oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " +
 							"and id = 'popularity'")
 					.select("value")
 					.collectAsList()

dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/PrepareTest.java

@@ -18,17 +18,14 @@ import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
 import org.apache.spark.sql.SparkSession;
-import org.junit.jupiter.api.AfterAll;
+import org.junit.jupiter.api.*;
-import org.junit.jupiter.api.Assertions;
-import org.junit.jupiter.api.BeforeAll;
-import org.junit.jupiter.api.Test;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
 import com.fasterxml.jackson.databind.ObjectMapper;
 
 import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
-import eu.dnetlib.dhp.common.collection.CollectorException;
+import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.SDGDataModel;
 import eu.dnetlib.dhp.schema.oaf.Result;
 
 public class PrepareTest {
@@ -96,13 +93,18 @@ public class PrepareTest {
 		String doi1 = "unresolved::10.0000/096020199389707::doi";
 
 		Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi1)).count());
-		Assertions.assertEquals(3, tmp.filter(r -> r.getId().equals(doi1)).collect().get(0).getMeasures().size());
+		Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi1)).collect().get(0).getInstance().size());
+		Assertions
+			.assertEquals(
+				3, tmp.filter(r -> r.getId().equals(doi1)).collect().get(0).getInstance().get(0).getMeasures().size());
 		Assertions
 			.assertEquals(
 				"6.34596412687e-09", tmp
 					.filter(r -> r.getId().equals(doi1))
 					.collect()
 					.get(0)
+					.getInstance()
+					.get(0)
 					.getMeasures()
 					.stream()
 					.filter(sl -> sl.getId().equals("influence"))
@@ -117,6 +119,8 @@ public class PrepareTest {
 					.filter(r -> r.getId().equals(doi1))
 					.collect()
 					.get(0)
+					.getInstance()
+					.get(0)
 					.getMeasures()
 					.stream()
 					.filter(sl -> sl.getId().equals("popularity_alt"))
@@ -131,6 +135,8 @@ public class PrepareTest {
 					.filter(r -> r.getId().equals(doi1))
 					.collect()
 					.get(0)
+					.getInstance()
+					.get(0)
 					.getMeasures()
 					.stream()
 					.filter(sl -> sl.getId().equals("popularity"))
@@ -140,34 +146,10 @@ public class PrepareTest {
 					.get(0)
 					.getValue());
 
-	}
+		final String doi2 = "unresolved::10.3390/s18072310::doi";
 
-	@Test
+		Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi2)).count());
-	void getFOSFileTest() throws IOException, ClassNotFoundException {
+		Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi2)).collect().get(0).getInstance().size());
-
-		final String sourcePath = getClass()
-			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/h2020_fos_sbs.csv")
-			.getPath();
-		final String outputPath = workingDir.toString() + "/fos.json";
-
-		new GetFOSData()
-			.doRewrite(
-				sourcePath, outputPath, "eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel",
-				'\t', fs);
-
-		BufferedReader in = new BufferedReader(
-			new InputStreamReader(fs.open(new org.apache.hadoop.fs.Path(outputPath))));
-
-		String line;
-		int count = 0;
-		while ((line = in.readLine()) != null) {
-			FOSDataModel fos = new ObjectMapper().readValue(line, FOSDataModel.class);
-
-			System.out.println(new ObjectMapper().writeValueAsString(fos));
-			count += 1;
-		}
-
-		assertEquals(38, count);
 
 	}
 
@@ -195,15 +177,8 @@ public class PrepareTest {
 
 		String doi1 = "unresolved::10.3390/s18072310::doi";
 
-		assertEquals(50, tmp.count());
+		assertEquals(20, tmp.count());
 		assertEquals(1, tmp.filter(row -> row.getId().equals(doi1)).count());
-		assertTrue(
-			tmp
-				.filter(r -> r.getId().equals(doi1))
-				.flatMap(r -> r.getSubject().iterator())
-				.map(sbj -> sbj.getValue())
-				.collect()
-				.contains("engineering and technology"));
 
 		assertTrue(
 			tmp
@@ -211,16 +186,16 @@ public class PrepareTest {
 				.flatMap(r -> r.getSubject().iterator())
 				.map(sbj -> sbj.getValue())
 				.collect()
-				.contains("nano-technology"));
+				.contains("04 agricultural and veterinary sciences"));
 		assertTrue(
 			tmp
 				.filter(r -> r.getId().equals(doi1))
 				.flatMap(r -> r.getSubject().iterator())
 				.map(sbj -> sbj.getValue())
 				.collect()
-				.contains("nanoscience & nanotechnology"));
+				.contains("0404 agricultural biotechnology"));
 
-		String doi = "unresolved::10.1111/1365-2656.12831::doi";
+		String doi = "unresolved::10.1007/s11164-020-04383-6::doi";
 		assertEquals(1, tmp.filter(row -> row.getId().equals(doi)).count());
 		assertTrue(
 			tmp
@@ -228,7 +203,7 @@ public class PrepareTest {
 				.flatMap(r -> r.getSubject().iterator())
 				.map(sbj -> sbj.getValue())
 				.collect()
-				.contains("psychology and cognitive sciences"));
+				.contains("01 natural sciences"));
 
 		assertTrue(
 			tmp
@@ -236,15 +211,114 @@ public class PrepareTest {
 				.flatMap(r -> r.getSubject().iterator())
 				.map(sbj -> sbj.getValue())
 				.collect()
-				.contains("social sciences"));
+				.contains("0104 chemical sciences"));
-		assertFalse(
+		assertTrue(
 			tmp
 				.filter(r -> r.getId().equals(doi))
 				.flatMap(r -> r.getSubject().iterator())
 				.map(sbj -> sbj.getValue())
 				.collect()
-				.contains("NULL"));
+				.contains("010402 general chemistry"));
 
 	}
 
+	@Test
+	void sdgPrepareTest() throws Exception {
+		final String sourcePath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/sdg/sdg.json")
+			.getPath();
+
+		PrepareSDGSparkJob
+			.main(
+				new String[] {
+					"--isSparkSessionManaged", Boolean.FALSE.toString(),
+					"--sourcePath", sourcePath,
+
+					"-outputPath", workingDir.toString() + "/work"
+
+				});
+
+		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+		JavaRDD<Result> tmp = sc
+			.textFile(workingDir.toString() + "/work/sdg")
+			.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
+
+		String doi1 = "unresolved::10.1001/amaguidesnewsletters.2019.sepoct02::doi";
+
+		assertEquals(32, tmp.count());
+		assertEquals(1, tmp.filter(row -> row.getId().equals(doi1)).count());
+
+		assertTrue(
+			tmp
+				.filter(r -> r.getId().equals(doi1))
+				.flatMap(r -> r.getSubject().iterator())
+				.map(sbj -> sbj.getValue())
+				.collect()
+				.contains("3. Good health"));
+		assertTrue(
+			tmp
+				.filter(r -> r.getId().equals(doi1))
+				.flatMap(r -> r.getSubject().iterator())
+				.map(sbj -> sbj.getValue())
+				.collect()
+				.contains("8. Economic growth"));
+
+		Assertions.assertEquals(32, tmp.filter(row -> row.getDataInfo() != null).count());
+
+	}
+
+//	@Test
+//	void test3() throws Exception {
+//		final String sourcePath = "/Users/miriam.baglioni/Downloads/doi_fos_results_20_12_2021.csv.gz";
+//
+//		final String outputPath = workingDir.toString() + "/fos.json";
+//		GetFOSSparkJob
+//			.main(
+//				new String[] {
+//					"--isSparkSessionManaged", Boolean.FALSE.toString(),
+//					"--sourcePath", sourcePath,
+//
+//					"-outputPath", outputPath
+//
+//				});
+//
+//		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+//
+//		JavaRDD<FOSDataModel> tmp = sc
+//			.textFile(outputPath)
+//			.map(item -> OBJECT_MAPPER.readValue(item, FOSDataModel.class));
+//
+//		tmp.foreach(t -> Assertions.assertTrue(t.getDoi() != null));
+//		tmp.foreach(t -> Assertions.assertTrue(t.getLevel1() != null));
+//		tmp.foreach(t -> Assertions.assertTrue(t.getLevel2() != null));
+//		tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
+//
+//	}
+//
+//	@Test
+//	void test4() throws Exception {
+//		final String sourcePath = "/Users/miriam.baglioni/Downloads/doi_sdg_results_20_12_21.csv.gz";
+//
+//		final String outputPath = workingDir.toString() + "/sdg.json";
+//		GetSDGSparkJob
+//			.main(
+//				new String[] {
+//					"--isSparkSessionManaged", Boolean.FALSE.toString(),
+//					"--sourcePath", sourcePath,
+//
+//					"-outputPath", outputPath
+//
+//				});
+//
+//		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+//
+//		JavaRDD<SDGDataModel> tmp = sc
+//			.textFile(outputPath)
+//			.map(item -> OBJECT_MAPPER.readValue(item, SDGDataModel.class));
+//
+//		tmp.foreach(t -> Assertions.assertTrue(t.getDoi() != null));
+//		tmp.foreach(t -> Assertions.assertTrue(t.getSbj() != null));
+//
+//	}
 }

dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/ProduceTest.java

@@ -24,6 +24,7 @@ import org.slf4j.LoggerFactory;
 
 import com.fasterxml.jackson.databind.ObjectMapper;
 
+import eu.dnetlib.dhp.actionmanager.Constants;
 import eu.dnetlib.dhp.schema.common.ModelConstants;
 import eu.dnetlib.dhp.schema.oaf.*;
 
@@ -67,70 +68,12 @@ public class ProduceTest {
 	}
 
 	@Test
-	void produceTest() throws Exception {
+	void produceTestSubjects() throws Exception {
 
-		final String bipPath = getClass()
+		JavaRDD<Result> tmp = getResultJavaRDD();
-			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
-			.getPath();
-
-		PrepareBipFinder
-			.main(
-				new String[] {
-					"--isSparkSessionManaged", Boolean.FALSE.toString(),
-					"--sourcePath", bipPath,
-					"--outputPath", workingDir.toString() + "/work"
-
-				});
-		final String fosPath = getClass()
-			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
-			.getPath();
-
-		PrepareFOSSparkJob
-			.main(
-				new String[] {
-					"--isSparkSessionManaged", Boolean.FALSE.toString(),
-					"--sourcePath", fosPath,
-					"-outputPath", workingDir.toString() + "/work"
-				});
-
-		SparkSaveUnresolved.main(new String[] {
-			"--isSparkSessionManaged", Boolean.FALSE.toString(),
-			"--sourcePath", workingDir.toString() + "/work",
-
-			"-outputPath", workingDir.toString() + "/unresolved"
-
-		});
-
-		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
-
-		JavaRDD<Result> tmp = sc
-			.textFile(workingDir.toString() + "/unresolved")
-			.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
-
-		Assertions.assertEquals(135, tmp.count());
-
-		Assertions.assertEquals(1, tmp.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi")).count());
-
-		Assertions
-			.assertEquals(
-				3, tmp
-					.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi"))
-					.collect()
-					.get(0)
-					.getSubject()
-					.size());
-
-		Assertions
-			.assertEquals(
-				3, tmp
-					.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi"))
-					.collect()
-					.get(0)
-					.getMeasures()
-					.size());
 
 		List<StructuredProperty> sbjs = tmp
-			.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi"))
+			.filter(row -> row.getSubject() != null && row.getSubject().size() > 0)
 			.flatMap(row -> row.getSubject().iterator())
 			.collect();
 
@@ -172,14 +115,105 @@ public class ProduceTest {
 					.assertEquals(
 						ModelConstants.DNET_PROVENANCE_ACTIONS,
 						sbj.getDataInfo().getProvenanceaction().getSchemename()));
+	}
 
-		sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("engineering and technology"));
+	@Test
-		sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("nano-technology"));
+	void produceTestMeasuress() throws Exception {
-		sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("nanoscience & nanotechnology"));
+
+		JavaRDD<Result> tmp = getResultJavaRDD();
+
+		List<KeyValue> mes = tmp
+			.filter(row -> row.getInstance() != null && row.getInstance().size() > 0)
+			.flatMap(row -> row.getInstance().iterator())
+			.flatMap(i -> i.getMeasures().iterator())
+			.flatMap(m -> m.getUnit().iterator())
+			.collect();
+
+		mes.forEach(sbj -> Assertions.assertEquals(false, sbj.getDataInfo().getDeletedbyinference()));
+		mes.forEach(sbj -> Assertions.assertEquals(true, sbj.getDataInfo().getInferred()));
+		mes.forEach(sbj -> Assertions.assertEquals(false, sbj.getDataInfo().getInvisible()));
+		mes.forEach(sbj -> Assertions.assertEquals("", sbj.getDataInfo().getTrust()));
+		mes.forEach(sbj -> Assertions.assertEquals("update", sbj.getDataInfo().getInferenceprovenance()));
+		mes
+			.forEach(
+				sbj -> Assertions.assertEquals("measure:bip", sbj.getDataInfo().getProvenanceaction().getClassid()));
+		mes
+			.forEach(
+				sbj -> Assertions
+					.assertEquals("Inferred by OpenAIRE", sbj.getDataInfo().getProvenanceaction().getClassname()));
+		mes
+			.forEach(
+				sbj -> Assertions
+					.assertEquals(
+						ModelConstants.DNET_PROVENANCE_ACTIONS, sbj.getDataInfo().getProvenanceaction().getSchemeid()));
+		mes
+			.forEach(
+				sbj -> Assertions
+					.assertEquals(
+						ModelConstants.DNET_PROVENANCE_ACTIONS,
+						sbj.getDataInfo().getProvenanceaction().getSchemename()));
+	}
+
+	@Test
+	void produceTest6Subjects() throws Exception {
+		final String doi = "unresolved::10.3390/s18072310::doi";
+
+		JavaRDD<Result> tmp = getResultJavaRDD();
+
+		Assertions
+			.assertEquals(
+				6, tmp
+					.filter(row -> row.getId().equals(doi))
+					.collect()
+					.get(0)
+					.getSubject()
+					.size());
+
+		List<StructuredProperty> sbjs = tmp
+			.filter(row -> row.getId().equals(doi))
+			.flatMap(row -> row.getSubject().iterator())
+			.collect();
+
+		Assertions
+			.assertEquals(
+				true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("04 agricultural and veterinary sciences")));
+
+		Assertions
+			.assertEquals(
+				true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0404 agricultural biotechnology")));
+		Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("040502 food science")));
+
+		Assertions
+			.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("03 medical and health sciences")));
+		Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0303 health sciences")));
+		Assertions
+			.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("030309 nutrition & dietetics")));
+
+	}
+
+	@Test
+	void produceTest3Measures() throws Exception {
+		final String doi = "unresolved::10.3390/s18072310::doi";
+		JavaRDD<Result> tmp = getResultJavaRDD();
+
+		tmp
+			.filter(row -> row.getId().equals(doi))
+			.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
+		Assertions
+			.assertEquals(
+				3, tmp
+					.filter(row -> row.getId().equals(doi))
+					.collect()
+					.get(0)
+					.getInstance()
+					.get(0)
+					.getMeasures()
+					.size());
 
 		List<Measure> measures = tmp
-			.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi"))
+			.filter(row -> row.getId().equals(doi))
-			.flatMap(row -> row.getMeasures().iterator())
+			.flatMap(row -> row.getInstance().iterator())
+			.flatMap(inst -> inst.getMeasures().iterator())
 			.collect();
 		Assertions
 			.assertEquals(
@@ -216,8 +250,82 @@ public class ProduceTest {
 
 		Assertions
 			.assertEquals(
-				49, tmp
+				"10.3390/s18072310",
-					.filter(row -> !row.getId().equals("unresolved::10.3390/s18072310::doi"))
+				tmp
+					.filter(row -> row.getId().equals(doi))
+					.collect()
+					.get(0)
+					.getInstance()
+					.get(0)
+					.getPid()
+					.get(0)
+					.getValue()
+					.toLowerCase());
+
+		Assertions
+			.assertEquals(
+				"doi",
+				tmp
+					.filter(row -> row.getId().equals(doi))
+					.collect()
+					.get(0)
+					.getInstance()
+					.get(0)
+					.getPid()
+					.get(0)
+					.getQualifier()
+					.getClassid());
+
+		Assertions
+			.assertEquals(
+				"Digital Object Identifier",
+				tmp
+					.filter(row -> row.getId().equals(doi))
+					.collect()
+					.get(0)
+					.getInstance()
+					.get(0)
+					.getPid()
+					.get(0)
+					.getQualifier()
+					.getClassname());
+
+	}
+
+	@Test
+	void produceTestMeasures() throws Exception {
+		final String doi = "unresolved::10.3390/s18072310::doi";
+		JavaRDD<Result> tmp = getResultJavaRDD();
+
+		List<StructuredProperty> mes = tmp
+			.filter(row -> row.getInstance() != null && row.getInstance().size() > 0)
+			.flatMap(row -> row.getInstance().iterator())
+			.flatMap(i -> i.getPid().iterator())
+			.collect();
+
+		Assertions.assertEquals(86, mes.size());
+
+		tmp
+			.filter(row -> row.getInstance() != null && row.getInstance().size() > 0)
+			.foreach(
+				e -> Assertions.assertEquals("sysimport:enrich", e.getDataInfo().getProvenanceaction().getClassid()));
+
+	}
+
+	@Test
+	void produceTestSomeNumbers() throws Exception {
+
+		final String doi = "unresolved::10.3390/s18072310::doi";
+		JavaRDD<Result> tmp = getResultJavaRDD();
+
+		Assertions.assertEquals(105, tmp.count());
+
+		Assertions.assertEquals(1, tmp.filter(row -> row.getId().equals(doi)).count());
+
+		Assertions
+			.assertEquals(
+				19, tmp
+					.filter(row -> !row.getId().equals(doi))
 					.filter(row -> row.getSubject() != null)
 					.count());
 
@@ -225,10 +333,254 @@ public class ProduceTest {
 			.assertEquals(
 				85,
 				tmp
-					.filter(row -> !row.getId().equals("unresolved::10.3390/s18072310::doi"))
+					.filter(row -> !row.getId().equals(doi))
-					.filter(r -> r.getMeasures() != null)
+					.filter(r -> r.getInstance() != null && r.getInstance().size() > 0)
 					.count());
 
 	}
 
+	private JavaRDD<Result> getResultJavaRDD() throws Exception {
+		final String bipPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
+			.getPath();
+
+		PrepareBipFinder
+			.main(
+				new String[] {
+					"--isSparkSessionManaged", Boolean.FALSE.toString(),
+					"--sourcePath", bipPath,
+					"--outputPath", workingDir.toString() + "/work"
+
+				});
+		final String fosPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
+			.getPath();
+
+		PrepareFOSSparkJob
+			.main(
+				new String[] {
+					"--isSparkSessionManaged", Boolean.FALSE.toString(),
+					"--sourcePath", fosPath,
+					"-outputPath", workingDir.toString() + "/work"
+				});
+
+		SparkSaveUnresolved.main(new String[] {
+			"--isSparkSessionManaged", Boolean.FALSE.toString(),
+			"--sourcePath", workingDir.toString() + "/work",
+
+			"-outputPath", workingDir.toString() + "/unresolved"
+
+		});
+
+		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+		return sc
+			.textFile(workingDir.toString() + "/unresolved")
+			.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
+	}
+
+	@Test
+	void prepareTest5Subjects() throws Exception {
+		final String doi = "unresolved::10.1063/5.0032658::doi";
+
+		JavaRDD<Result> tmp = getResultJavaRDD();
+
+		Assertions.assertEquals(1, tmp.filter(row -> row.getId().equals(doi)).count());
+
+		Assertions
+			.assertEquals(
+				5, tmp
+					.filter(row -> row.getId().equals(doi))
+					.collect()
+					.get(0)
+					.getSubject()
+					.size());
+
+		List<StructuredProperty> sbjs = tmp
+			.filter(row -> row.getId().equals(doi))
+			.flatMap(row -> row.getSubject().iterator())
+			.collect();
+
+		Assertions
+			.assertEquals(
+				true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("01 natural sciences")));
+		Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0103 physical sciences")));
+
+		Assertions
+			.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("010304 chemical physics")));
+		Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0104 chemical sciences")));
+		Assertions
+			.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("010402 general chemistry")));
+
+	}
+
+	private JavaRDD<Result> getResultJavaRDDPlusSDG() throws Exception {
+		final String bipPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
+			.getPath();
+
+		PrepareBipFinder
+			.main(
+				new String[] {
+					"--isSparkSessionManaged", Boolean.FALSE.toString(),
+					"--sourcePath", bipPath,
+					"--outputPath", workingDir.toString() + "/work"
+
+				});
+		final String fosPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
+			.getPath();
+
+		PrepareFOSSparkJob
+			.main(
+				new String[] {
+					"--isSparkSessionManaged", Boolean.FALSE.toString(),
+					"--sourcePath", fosPath,
+					"-outputPath", workingDir.toString() + "/work"
+				});
+
+		final String sdgPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/sdg/sdg.json")
+			.getPath();
+
+		PrepareSDGSparkJob
+			.main(
+				new String[] {
+					"--isSparkSessionManaged", Boolean.FALSE.toString(),
+					"--sourcePath", sdgPath,
+					"-outputPath", workingDir.toString() + "/work"
+				});
+
+		SparkSaveUnresolved.main(new String[] {
+			"--isSparkSessionManaged", Boolean.FALSE.toString(),
+			"--sourcePath", workingDir.toString() + "/work",
+
+			"-outputPath", workingDir.toString() + "/unresolved"
+
+		});
+
+		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+		return sc
+			.textFile(workingDir.toString() + "/unresolved")
+			.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
+	}
+
+	@Test
+	void produceTestSomeNumbersWithSDG() throws Exception {
+
+		final String doi = "unresolved::10.3390/s18072310::doi";
+		JavaRDD<Result> tmp = getResultJavaRDDPlusSDG();
+
+		Assertions.assertEquals(136, tmp.count());
+
+		Assertions.assertEquals(1, tmp.filter(row -> row.getId().equals(doi)).count());
+
+		Assertions
+			.assertEquals(
+				50, tmp
+					.filter(row -> !row.getId().equals(doi))
+					.filter(row -> row.getSubject() != null)
+					.count());
+
+		Assertions
+			.assertEquals(
+				85,
+				tmp
+					.filter(row -> !row.getId().equals(doi))
+					.filter(r -> r.getInstance() != null && r.getInstance().size() > 0)
+					.count());
+
+	}
+
+	@Test
+	void produceTest7Subjects() throws Exception {
+		final String doi = "unresolved::10.3390/s18072310::doi";
+
+		JavaRDD<Result> tmp = getResultJavaRDDPlusSDG();
+
+		Assertions
+			.assertEquals(
+				7, tmp
+					.filter(row -> row.getId().equals(doi))
+					.collect()
+					.get(0)
+					.getSubject()
+					.size());
+
+		List<StructuredProperty> sbjs = tmp
+			.filter(row -> row.getId().equals(doi))
+			.flatMap(row -> row.getSubject().iterator())
+			.collect();
+
+		Assertions
+			.assertEquals(
+				true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("04 agricultural and veterinary sciences")));
+
+		Assertions
+			.assertEquals(
+				true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0404 agricultural biotechnology")));
+		Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("040502 food science")));
+
+		Assertions
+			.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("03 medical and health sciences")));
+		Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0303 health sciences")));
+		Assertions
+			.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("030309 nutrition & dietetics")));
+		Assertions
+			.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("1. No poverty")));
+
+	}
+
+	@Test
+	void produceTestSubjectsWithSDG() throws Exception {
+
+		JavaRDD<Result> tmp = getResultJavaRDDPlusSDG();
+
+		List<StructuredProperty> sbjs_sdg = tmp
+			.filter(row -> row.getSubject() != null && row.getSubject().size() > 0)
+			.flatMap(row -> row.getSubject().iterator())
+			.filter(sbj -> sbj.getQualifier().getClassid().equals(Constants.SDG_CLASS_ID))
+			.collect();
+
+		sbjs_sdg.forEach(sbj -> Assertions.assertEquals("SDG", sbj.getQualifier().getClassid()));
+		sbjs_sdg
+			.forEach(
+				sbj -> Assertions
+					.assertEquals(
+						"Sustainable Development Goals", sbj.getQualifier().getClassname()));
+		sbjs_sdg
+			.forEach(
+				sbj -> Assertions
+					.assertEquals(ModelConstants.DNET_SUBJECT_TYPOLOGIES, sbj.getQualifier().getSchemeid()));
+		sbjs_sdg
+			.forEach(
+				sbj -> Assertions
+					.assertEquals(ModelConstants.DNET_SUBJECT_TYPOLOGIES, sbj.getQualifier().getSchemename()));
+
+		sbjs_sdg.forEach(sbj -> Assertions.assertEquals(false, sbj.getDataInfo().getDeletedbyinference()));
+		sbjs_sdg.forEach(sbj -> Assertions.assertEquals(true, sbj.getDataInfo().getInferred()));
+		sbjs_sdg.forEach(sbj -> Assertions.assertEquals(false, sbj.getDataInfo().getInvisible()));
+		sbjs_sdg.forEach(sbj -> Assertions.assertEquals("", sbj.getDataInfo().getTrust()));
+		sbjs_sdg.forEach(sbj -> Assertions.assertEquals("update", sbj.getDataInfo().getInferenceprovenance()));
+		sbjs_sdg
+			.forEach(
+				sbj -> Assertions.assertEquals("subject:sdg", sbj.getDataInfo().getProvenanceaction().getClassid()));
+		sbjs_sdg
+			.forEach(
+				sbj -> Assertions
+					.assertEquals("Inferred by OpenAIRE", sbj.getDataInfo().getProvenanceaction().getClassname()));
+		sbjs_sdg
+			.forEach(
+				sbj -> Assertions
+					.assertEquals(
+						ModelConstants.DNET_PROVENANCE_ACTIONS, sbj.getDataInfo().getProvenanceaction().getSchemeid()));
+		sbjs_sdg
+			.forEach(
+				sbj -> Assertions
+					.assertEquals(
+						ModelConstants.DNET_PROVENANCE_ACTIONS,
+						sbj.getDataInfo().getProvenanceaction().getSchemename()));
+	}
+
 }

dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/opencitations/CreateOpenCitationsASTest.java

@@ -76,7 +76,7 @@ public class CreateOpenCitationsASTest {
 
 		String inputPath = getClass()
 			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles")
+				"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
 			.getPath();
 
 		CreateActionSetSparkJob
@@ -89,17 +89,17 @@ public class CreateOpenCitationsASTest {
 					"-inputPath",
 					inputPath,
 					"-outputPath",
-					workingDir.toString() + "/actionSet"
+					workingDir.toString() + "/actionSet1"
 				});
 
 		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
 		JavaRDD<Relation> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.sequenceFile(workingDir.toString() + "/actionSet1", Text.class, Text.class)
 			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
 			.map(aa -> ((Relation) aa.getPayload()));
 
-		assertEquals(60, tmp.count());
+		assertEquals(62, tmp.count());
 
 		// tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
 
@@ -110,7 +110,7 @@ public class CreateOpenCitationsASTest {
 
 		String inputPath = getClass()
 			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles")
+				"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
 			.getPath();
 
 		CreateActionSetSparkJob
@@ -121,17 +121,17 @@ public class CreateOpenCitationsASTest {
 					"-inputPath",
 					inputPath,
 					"-outputPath",
-					workingDir.toString() + "/actionSet"
+					workingDir.toString() + "/actionSet2"
 				});
 
 		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
 		JavaRDD<Relation> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.sequenceFile(workingDir.toString() + "/actionSet2", Text.class, Text.class)
 			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
 			.map(aa -> ((Relation) aa.getPayload()));
 
-		assertEquals(44, tmp.count());
+		assertEquals(46, tmp.count());
 
 		// tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
 
@@ -142,7 +142,7 @@ public class CreateOpenCitationsASTest {
 
 		String inputPath = getClass()
 			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles")
+				"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
 			.getPath();
 
 		CreateActionSetSparkJob
@@ -153,13 +153,13 @@ public class CreateOpenCitationsASTest {
 					"-inputPath",
 					inputPath,
 					"-outputPath",
-					workingDir.toString() + "/actionSet"
+					workingDir.toString() + "/actionSet3"
 				});
 
 		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
 		JavaRDD<Relation> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.sequenceFile(workingDir.toString() + "/actionSet3", Text.class, Text.class)
 			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
 			.map(aa -> ((Relation) aa.getPayload()));
 
@@ -175,7 +175,7 @@ public class CreateOpenCitationsASTest {
 
 		String inputPath = getClass()
 			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles")
+				"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
 			.getPath();
 
 		CreateActionSetSparkJob
@@ -186,13 +186,13 @@ public class CreateOpenCitationsASTest {
 					"-inputPath",
 					inputPath,
 					"-outputPath",
-					workingDir.toString() + "/actionSet"
+					workingDir.toString() + "/actionSet4"
 				});
 
 		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
 		JavaRDD<Relation> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.sequenceFile(workingDir.toString() + "/actionSet4", Text.class, Text.class)
 			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
 			.map(aa -> ((Relation) aa.getPayload()));
 
@@ -215,7 +215,7 @@ public class CreateOpenCitationsASTest {
 
 		String inputPath = getClass()
 			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles")
+				"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
 			.getPath();
 
 		CreateActionSetSparkJob
@@ -226,13 +226,13 @@ public class CreateOpenCitationsASTest {
 					"-inputPath",
 					inputPath,
 					"-outputPath",
-					workingDir.toString() + "/actionSet"
+					workingDir.toString() + "/actionSet5"
 				});
 
 		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
 		JavaRDD<Relation> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.sequenceFile(workingDir.toString() + "/actionSet5", Text.class, Text.class)
 			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
 			.map(aa -> ((Relation) aa.getPayload()));
 
@@ -240,8 +240,8 @@ public class CreateOpenCitationsASTest {
 			assertEquals("citation", r.getSubRelType());
 			assertEquals("resultResult", r.getRelType());
 		});
-		assertEquals(22, tmp.filter(r -> r.getRelClass().equals("Cites")).count());
+		assertEquals(23, tmp.filter(r -> r.getRelClass().equals("Cites")).count());
-		assertEquals(22, tmp.filter(r -> r.getRelClass().equals("IsCitedBy")).count());
+		assertEquals(23, tmp.filter(r -> r.getRelClass().equals("IsCitedBy")).count());
 
 	}
 
@@ -250,7 +250,7 @@ public class CreateOpenCitationsASTest {
 
 		String inputPath = getClass()
 			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles")
+				"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
 			.getPath();
 
 		CreateActionSetSparkJob
@@ -261,13 +261,13 @@ public class CreateOpenCitationsASTest {
 					"-inputPath",
 					inputPath,
 					"-outputPath",
-					workingDir.toString() + "/actionSet"
+					workingDir.toString() + "/actionSet6"
 				});
 
 		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
 		JavaRDD<Relation> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.sequenceFile(workingDir.toString() + "/actionSet6", Text.class, Text.class)
 			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
 			.map(aa -> ((Relation) aa.getPayload()));
 
@@ -295,7 +295,7 @@ public class CreateOpenCitationsASTest {
 
 		String inputPath = getClass()
 			.getResource(
-				"/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles")
+				"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
 			.getPath();
 
 		CreateActionSetSparkJob
@@ -306,13 +306,13 @@ public class CreateOpenCitationsASTest {
 					"-inputPath",
 					inputPath,
 					"-outputPath",
-					workingDir.toString() + "/actionSet"
+					workingDir.toString() + "/actionSet7"
 				});
 
 		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
 		JavaRDD<Relation> tmp = sc
-			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.sequenceFile(workingDir.toString() + "/actionSet7", Text.class, Text.class)
 			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
 			.map(aa -> ((Relation) aa.getPayload()));
 

dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/opencitations/ReadCOCITest.java

@@ -0,0 +1,138 @@
+
+package eu.dnetlib.dhp.actionmanager.opencitations;
+
+import static eu.dnetlib.dhp.actionmanager.Constants.DEFAULT_DELIMITER;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+
+import org.apache.commons.io.FileUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.LocalFileSystem;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.sql.Encoders;
+import org.apache.spark.sql.SparkSession;
+import org.junit.jupiter.api.AfterAll;
+import org.junit.jupiter.api.Assertions;
+import org.junit.jupiter.api.BeforeAll;
+import org.junit.jupiter.api.Test;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
+import eu.dnetlib.dhp.schema.oaf.Dataset;
+
+public class ReadCOCITest {
+
+	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
+
+	private static SparkSession spark;
+
+	private static Path workingDir;
+	private static final Logger log = LoggerFactory
+		.getLogger(ReadCOCITest.class);
+
+	@BeforeAll
+	public static void beforeAll() throws IOException {
+		workingDir = Files
+			.createTempDirectory(ReadCOCITest.class.getSimpleName());
+		log.info("using work dir {}", workingDir);
+
+		SparkConf conf = new SparkConf();
+		conf.setAppName(ReadCOCITest.class.getSimpleName());
+
+		conf.setMaster("local[*]");
+		conf.set("spark.driver.host", "localhost");
+		conf.set("hive.metastore.local", "true");
+		conf.set("spark.ui.enabled", "false");
+		conf.set("spark.sql.warehouse.dir", workingDir.toString());
+		conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
+
+		spark = SparkSession
+			.builder()
+			.appName(ReadCOCITest.class.getSimpleName())
+			.config(conf)
+			.getOrCreate();
+	}
+
+	@AfterAll
+	public static void afterAll() throws IOException {
+		FileUtils.deleteDirectory(workingDir.toFile());
+		spark.stop();
+	}
+
+	@Test
+	void testReadCOCI() throws Exception {
+		String inputPath = getClass()
+			.getResource(
+				"/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles")
+			.getPath();
+
+		LocalFileSystem fs = FileSystem.getLocal(new Configuration());
+		fs
+			.copyFromLocalFile(
+				false, new org.apache.hadoop.fs.Path(getClass()
+					.getResource("/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles/input1.gz")
+					.getPath()),
+				new org.apache.hadoop.fs.Path(workingDir + "/COCI/input1.gz"));
+
+		fs
+			.copyFromLocalFile(
+				false, new org.apache.hadoop.fs.Path(getClass()
+					.getResource("/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles/input2.gz")
+					.getPath()),
+				new org.apache.hadoop.fs.Path(workingDir + "/COCI/input2.gz"));
+
+		fs
+			.copyFromLocalFile(
+				false, new org.apache.hadoop.fs.Path(getClass()
+					.getResource("/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles/input3.gz")
+					.getPath()),
+				new org.apache.hadoop.fs.Path(workingDir + "/COCI/input3.gz"));
+
+		fs
+			.copyFromLocalFile(
+				false, new org.apache.hadoop.fs.Path(getClass()
+					.getResource("/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles/input4.gz")
+					.getPath()),
+				new org.apache.hadoop.fs.Path(workingDir + "/COCI/input4.gz"));
+
+		fs
+			.copyFromLocalFile(
+				false, new org.apache.hadoop.fs.Path(getClass()
+					.getResource("/eu/dnetlib/dhp/actionmanager/opencitations/inputFiles/input5.gz")
+					.getPath()),
+				new org.apache.hadoop.fs.Path(workingDir + "/COCI/input5.gz"));
+
+		ReadCOCI
+			.main(
+				new String[] {
+					"-isSparkSessionManaged",
+					Boolean.FALSE.toString(),
+					"-workingPath",
+					workingDir.toString() + "/COCI",
+					"-outputPath",
+					workingDir.toString() + "/COCI_json/",
+					"-inputFile", "input1;input2;input3;input4;input5"
+				});
+
+		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+		JavaRDD<COCI> tmp = sc
+			.textFile(workingDir.toString() + "/COCI_json/*/")
+			.map(item -> OBJECT_MAPPER.readValue(item, COCI.class));
+
+		Assertions.assertEquals(24, tmp.count());
+
+		Assertions.assertEquals(1, tmp.filter(c -> c.getCiting().equals("10.1207/s15327647jcd3,4-01")).count());
+
+		Assertions.assertEquals(8, tmp.filter(c -> c.getCiting().indexOf(".refs") > -1).count());
+	}
+
+}

dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/ror/GenerateRorActionSetJobTest.java

@@ -1,7 +1,10 @@
 
 package eu.dnetlib.dhp.actionmanager.ror;
 
+import static org.junit.jupiter.api.Assertions.assertEquals;
+
 import java.io.FileInputStream;
+import java.util.List;
 
 import org.apache.commons.io.IOUtils;
 import org.apache.commons.lang3.StringUtils;
@@ -13,9 +16,12 @@ import org.junit.jupiter.api.Test;
 import com.fasterxml.jackson.databind.ObjectMapper;
 
 import eu.dnetlib.dhp.actionmanager.ror.model.RorOrganization;
+import eu.dnetlib.dhp.schema.action.AtomicAction;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
+import eu.dnetlib.dhp.schema.oaf.Oaf;
 import eu.dnetlib.dhp.schema.oaf.Organization;
+import eu.dnetlib.dhp.schema.oaf.Relation;
 
-@Disabled
 class GenerateRorActionSetJobTest {
 
 	private static final ObjectMapper mapper = new ObjectMapper();
@@ -30,21 +36,40 @@ class GenerateRorActionSetJobTest {
 	void testConvertRorOrg() throws Exception {
 		final RorOrganization r = mapper
 			.readValue(IOUtils.toString(getClass().getResourceAsStream("ror_org.json")), RorOrganization.class);
-		final Organization org = GenerateRorActionSetJob.convertRorOrg(r);
+		final List<AtomicAction<? extends Oaf>> aas = GenerateRorActionSetJob.convertRorOrg(r);
+
+		Assertions.assertEquals(3, aas.size());
+		assertEquals(Organization.class, aas.get(0).getClazz());
+		assertEquals(Relation.class, aas.get(1).getClazz());
+		assertEquals(Relation.class, aas.get(2).getClazz());
+
+		final Organization o = (Organization) aas.get(0).getPayload();
+		final Relation r1 = (Relation) aas.get(1).getPayload();
+		final Relation r2 = (Relation) aas.get(2).getPayload();
+
+		assertEquals(o.getId(), r1.getSource());
+		assertEquals(r1.getSource(), r2.getTarget());
+		assertEquals(r2.getSource(), r1.getTarget());
+		assertEquals(ModelConstants.IS_PARENT_OF, r1.getRelClass());
+		assertEquals(ModelConstants.IS_CHILD_OF, r2.getRelClass());
+
+		System.out.println(mapper.writeValueAsString(o));
+		System.out.println(mapper.writeValueAsString(r1));
+		System.out.println(mapper.writeValueAsString(r2));
 
-		final String s = mapper.writeValueAsString(org);
-		Assertions.assertTrue(StringUtils.isNotBlank(s));
-		System.out.println(s);
 	}
 
 	@Test
+	@Disabled
 	void testConvertAllRorOrg() throws Exception {
 		final RorOrganization[] arr = mapper
 			.readValue(IOUtils.toString(new FileInputStream(local_file_path)), RorOrganization[].class);
 
 		for (final RorOrganization r : arr) {
-			Organization o = GenerateRorActionSetJob.convertRorOrg(r);
+			final List<AtomicAction<? extends Oaf>> aas = GenerateRorActionSetJob.convertRorOrg(r);
-			Assertions.assertNotNull(o);
+			Assertions.assertFalse(aas.isEmpty());
+			Assertions.assertNotNull(aas.get(0));
+			final Organization o = (Organization) aas.get(0).getPayload();
 			Assertions.assertTrue(StringUtils.isNotBlank(o.getId()));
 		}
 	}

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

@@ -1,190 +0,0 @@
-package eu.dnetlib.dhp.sx.bio
-
-import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper, SerializationFeature}
-import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
-import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
-import eu.dnetlib.dhp.sx.bio.BioDBToOAF.ScholixResolved
-import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMParser, PubMedToOaf}
-import org.json4s.DefaultFormats
-import org.json4s.JsonAST.{JField, JObject, JString}
-import org.json4s.jackson.JsonMethods.parse
-import org.junit.jupiter.api.Assertions._
-import org.junit.jupiter.api.extension.ExtendWith
-import org.junit.jupiter.api.{BeforeEach, Test}
-import org.mockito.junit.jupiter.MockitoExtension
-
-import java.io.{BufferedReader, InputStream, InputStreamReader}
-import java.util.zip.GZIPInputStream
-import scala.collection.JavaConverters._
-import scala.io.Source
-import scala.xml.pull.XMLEventReader
-
-@ExtendWith(Array(classOf[MockitoExtension]))
-class BioScholixTest extends AbstractVocabularyTest{
-
-
-  val mapper = new ObjectMapper().enable(SerializationFeature.INDENT_OUTPUT)
-  mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES,false)
-
-  @BeforeEach
-  def setUp() :Unit = {
-
-    super.setUpVocabulary()
-  }
-
-  class BufferedReaderIterator(reader: BufferedReader) extends Iterator[String] {
-    override def hasNext() = reader.ready
-    override def next() = reader.readLine()
-  }
-
-  object GzFileIterator {
-    def apply(is: InputStream, encoding: String) = {
-      new BufferedReaderIterator(
-        new BufferedReader(
-          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 xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes()))
-    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 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)))
-    println(mapper.writeValueAsString(r.head))
-
-
-
-  }
-
-
-  @Test
-  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
-    records.lines.foreach(s => assertTrue(s.nonEmpty))
-
-    val result:List[Oaf]=  records.lines.toList.flatMap(o => BioDBToOAF.pdbTOOaf(o))
-
-
-
-    assertTrue(result.nonEmpty)
-    result.foreach(r => assertNotNull(r))
-
-    println(result.count(o => o.isInstanceOf[Relation]))
-    println(mapper.writeValueAsString(result.head))
-
-  }
-
-
-  @Test
-  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
-    records.lines.foreach(s => assertTrue(s.nonEmpty))
-
-    val result:List[Oaf]=  records.lines.toList.flatMap(o => BioDBToOAF.uniprotToOAF(o))
-
-
-
-    assertTrue(result.nonEmpty)
-    result.foreach(r => assertNotNull(r))
-
-    println(result.count(o => o.isInstanceOf[Relation]))
-    println(mapper.writeValueAsString(result.head))
-
-  }
-
-  case class EBILinks(relType:String, date:String, title:String, pmid:String, targetPid:String, targetPidType:String) {}
-
-  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]
-    for {
-      JObject(link) <- json \\ "Link"
-      JField("Target",JObject(target)) <- link
-      JField("RelationshipType",JObject(relType)) <- link
-      JField("Name", JString(relation)) <- relType
-      JField("PublicationDate",JString(publicationDate)) <- link
-      JField("Title", JString(title)) <- target
-      JField("Identifier",JObject(identifier)) <- target
-      JField("IDScheme", JString(idScheme)) <- identifier
-      JField("ID", JString(id)) <- identifier
-
-    } yield EBILinks(relation, publicationDate, title, pmid, id, idScheme)
-  }
-
-
-  @Test
-  def testCrossrefLinksToOAF():Unit = {
-
-    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
-
-    assertNotNull(result)
-    assertTrue(result.nonEmpty)
-
-    println(mapper.writeValueAsString(result.head))
-
-  }
-
-  @Test
-  def testEBILinksToOAF():Unit = {
-    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)
-    print(res.length)
-
-
-    println(mapper.writeValueAsString(res.head))
-
-  }
-
-
-
-
-  @Test
-  def scholixResolvedToOAF():Unit ={
-
-    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 =>
-      lazy val json = parse(input)
-      json.extract[ScholixResolved]
-    }.toList
-
-
-    val result:List[Oaf] = l.map(s => BioDBToOAF.scholixResolvedToOAF(s))
-
-    assertTrue(result.nonEmpty)
-  }
-
-}

dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores_oid.json

@@ -0,0 +1,4 @@
+{"50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1": [{"id": "influence", "unit": [{"value": "6.63451994567e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.348694533145", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "2.16094680115e-09", "key": "score"}]}]}
+{"50|dedup_wf_001::05b1f8ce98702f69d07aa5f0429de1e3": [{"id": "influence", "unit": [{"value": "6.25057357279e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "7.0208", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "2.40234462244e-08", "key": "score"}]}]}
+{"50|dedup_wf_001::08823c8f5c3ca2eae523817036cdda67": [{"id": "influence", "unit": [{"value": "5.54921449123e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "3.53012887452e-10", "key": "score"}]}]}
+{"50|dedup_wf_001::0e72b399325d6efcbe3271891a1dfe4c": [{"id": "influence", "unit": [{"value": "1.63466096315e-08", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "20.9870879741", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "5.49501495323e-08", "key": "score"}]}]}

dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json

@@ -1,38 +1,39 @@
-{"doi":"10.3390/s18072310","level1":"engineering and technology","level2":"nano-technology","level3":"nanoscience & nanotechnology"}
+{"doi":"10.1080/1536383x.2020.1868997","level1":"02 engineering and technology","level2":"0210 nano-technology","level3":"021001 nanoscience & nanotechnology"}
-{"doi":"10.1111/1365-2656.12831\u000210.17863/cam.24369","level1":"social sciences","level2":"psychology and cognitive sciences","level3":"NULL"}
+{"doi":"10.1080/1536383x.2020.1868997","level1":"01 natural sciences","level2":"0104 chemical sciences","level3":"010402 general chemistry"}
-{"doi":"10.3929/ethz-b-000187584\u000210.1002/chem.201701644","level1":"natural sciences","level2":"NULL","level3":"NULL"}
+{"doi":"10.1186/s40425-019-0732-8","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030220 oncology & carcinogenesis"}
-{"doi":"10.1080/01913123.2017.1367361","level1":"medical and health sciences","level2":"clinical medicine","level3":"oncology & carcinogenesis"}
+{"doi":"10.1186/s40425-019-0732-8","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030304 developmental biology"}
-{"doi":"10.1051/e3sconf/20199207011","level1":"natural sciences","level2":"earth and related environmental sciences","level3":"environmental sciences"}
+{"doi":"10.1007/s10482-021-01529-3","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030304 developmental biology"}
-{"doi":"10.1038/onc.2015.333","level1":"medical and health sciences","level2":"clinical medicine","level3":"oncology & carcinogenesis"}
+{"doi":"10.1007/s10482-021-01529-3","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030306 microbiology"}
-{"doi":"10.1093/mnras/staa256","level1":"natural sciences","level2":"physical sciences","level3":"NULL"}
+{"doi":"10.1155/2021/6643273","level1":"01 natural sciences","level2":"0103 physical sciences","level3":"010301 acoustics"}
-{"doi":"10.1016/j.jclepro.2018.07.166","level1":"engineering and technology","level2":"other engineering and technologies","level3":"building & construction"}
+{"doi":"10.1155/2021/6643273","level1":"02 engineering and technology","level2":"0209 industrial biotechnology","level3":"020901 industrial engineering & automation"}
-{"doi":"10.1103/physrevlett.125.037403","level1":"natural sciences","level2":"physical sciences","level3":"nuclear & particles physics"}
+{"doi":"10.12737/article_5d6613dbf2ad51.82646096","level1":"02 engineering and technology","level2":"0210 nano-technology","level3":"021001 nanoscience & nanotechnology"}
-{"doi":"10.1080/03602532.2017.1316285","level1":"natural sciences","level2":"NULL","level3":"NULL"}
+{"doi":"10.12737/article_5d6613dbf2ad51.82646096","level1":"01 natural sciences","level2":"0103 physical sciences","level3":"010302 applied physics"}
-{"doi":"10.1001/jamanetworkopen.2019.1868","level1":"medical and health sciences","level2":"other medical science","level3":"health policy & services"}
+{"doi":"10.1216/jie.2020.32.457","level1":"01 natural sciences","level2":"0101 mathematics","level3":"010101 applied mathematics"}
-{"doi":"10.1128/mra.00874-18","level1":"natural sciences","level2":"biological sciences","level3":"plant biology & botany"}
+{"doi":"10.1216/jie.2020.32.457","level1":"01 natural sciences","level2":"0101 mathematics","level3":"010102 general mathematics"}
-{"doi":"10.1016/j.nancom.2018.03.001","level1":"engineering and technology","level2":"NULL","level3":"NULL"}
+{"doi":"10.3934/naco.2021021","level1":"02 engineering and technology","level2":"0211 other engineering and technologies","level3":"021103 operations research"}
-{"doi":"10.1112/topo.12174","level1":"natural sciences","level2":"NULL","level3":"NULL"}
+{"doi":"10.3934/naco.2021021","level1":"02 engineering and technology","level2":"0209 industrial biotechnology","level3":"020901 industrial engineering & automation"}
-{"doi":"10.12688/wellcomeopenres.15846.1","level1":"medical and health sciences","level2":"health sciences","level3":"NULL"}
+{"doi":"10.1080/1034912x.2021.1910933","level1":"05 social sciences","level2":"050301 education","level3":"050301 education"}
-{"doi":"10.21468/scipostphys.3.1.001","level1":"natural sciences","level2":"physical sciences","level3":"NULL"}
+{"doi":"10.1080/1034912x.2021.1910933","level1":"05 social sciences","level2":"0501 psychology and cognitive sciences","level3":"050104 developmental & child psychology"}
-{"doi":"10.1088/1741-4326/ab6c77","level1":"natural sciences","level2":"physical sciences","level3":"nuclear & particles physics"}
+{"doi":"10.1016/j.rtbm.2020.100596","level1":"05 social sciences","level2":"0502 economics and business","level3":"050211 marketing"}
-{"doi":"10.1109/tpwrs.2019.2944747","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"electrical & electronic engineering"}
+{"doi":"10.1016/j.rtbm.2020.100596","level1":"05 social sciences","level2":"0502 economics and business","level3":"050212 sport, leisure & tourism"}
-{"doi":"10.1016/j.expthermflusci.2019.109994\u000210.17863/cam.46212","level1":"engineering and technology","level2":"mechanical engineering","level3":"mechanical engineering & transports"}
+{"doi":"10.14807/ijmp.v11i8.1220","level1":"05 social sciences","level2":"0502 economics and business","level3":"050211 marketing"}
-{"doi":"10.1109/tc.2018.2860012","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"computer hardware & architecture"}
+{"doi":"10.14807/ijmp.v11i8.1220","level1":"05 social sciences","level2":"0502 economics and business","level3":"050203 business & management"}
-{"doi":"10.1002/mma.6622","level1":"natural sciences","level2":"mathematics","level3":"numerical & computational mathematics"}
+{"doi":"10.1007/s13205-020-02415-x","level1":"03 medical and health sciences","level2":"0303 health sciences","level3":"030304 developmental biology"}
-{"doi":"10.1051/radiopro/2020020","level1":"natural sciences","level2":"chemical sciences","level3":"NULL"}
+{"doi":"10.1007/s13205-020-02415-x","level1":"03 medical and health sciences","level2":"0303 health sciences","level3":"030302 biochemistry & molecular biology"}
-{"doi":"10.1007/s12268-019-1003-4","level1":"medical and health sciences","level2":"basic medicine","level3":"NULL"}
+{"doi":"10.3390/s18072310","level1":"04 agricultural and veterinary sciences","level2":"0404 agricultural biotechnology","level3":"040502 food science"}
-{"doi":"10.3390/cancers12010236","level1":"medical and health sciences","level2":"health sciences","level3":"biochemistry & molecular biology"}
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