Merge branch 'beta' into beta_solr_config

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

@@ -60,14 +60,10 @@ object SparkCreateActionset {
 
     val entities: Dataset[(String, Result)] = spark.read.load(s"$sourcePath/entities/*").as[Result].map(p => (p.getId, p))(Encoders.tuple(Encoders.STRING, resultEncoders))
 
-
-    entities.filter(r => r.isInstanceOf[Result]).map(r => r.asInstanceOf[Result])
     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/dnetllib/dhp/sx/bio/BioDBToOAF.scala

@@ -1,14 +1,12 @@
-package eu.dnetlib.dhp.sx.graph.bio
+package eu.dnetllib.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.{Author, DataInfo, Dataset, Instance, KeyValue, Oaf, Relation, StructuredProperty}
+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._
-import scala.collection.JavaConverters._
-
 object BioDBToOAF {
 
   case class EBILinkItem(id: Long, links: String) {}
@@ -17,23 +15,23 @@ object BioDBToOAF {
 
   case class UniprotDate(date: String, date_info: String) {}
 
-  case class ScholixResolved(pid:String, pidType:String, typology:String, tilte:List[String], datasource:List[String], date:List[String], authors:List[String]){}
+  case class ScholixResolved(pid: String, pidType: String, typology: String, tilte: List[String], datasource: List[String], date: List[String], authors: List[String]) {}
 
   val DATA_INFO: DataInfo = OafMapperUtils.dataInfo(false, null, false, false, ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER, "0.9")
   val SUBJ_CLASS = "Keywords"
 
   val DATE_RELATION_KEY = "RelationDate"
 
-  val resolvedURL:Map[String,String] = Map(
+  val resolvedURL: Map[String, String] = Map(
-    "genbank"->             "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "genbank" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "ncbi-n" ->             "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "ncbi-n" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "ncbi-wgs" ->           "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "ncbi-wgs" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "ncbi-p" ->             "https://www.ncbi.nlm.nih.gov/protein/",
+    "ncbi-p" -> "https://www.ncbi.nlm.nih.gov/protein/",
-    "ena" ->                "https://www.ebi.ac.uk/ena/browser/view/",
+    "ena" -> "https://www.ebi.ac.uk/ena/browser/view/",
-    "clinicaltrials.gov"->  "https://clinicaltrials.gov/ct2/show/",
+    "clinicaltrials.gov" -> "https://clinicaltrials.gov/ct2/show/",
-    "onim"->                "https://omim.org/entry/",
+    "onim" -> "https://omim.org/entry/",
-    "refseq"->              "https://www.ncbi.nlm.nih.gov/nuccore/",
+    "refseq" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
-    "geo"->                 "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc="
+    "geo" -> "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc="
   )
 
 
@@ -45,7 +43,7 @@ object BioDBToOAF {
     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")
+    val pubmedCollectedFrom: KeyValue = OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
 
     UNIPROTCollectedFrom.setDataInfo(DATA_INFO)
     PDBCollectedFrom.setDataInfo(DATA_INFO)
@@ -58,9 +56,9 @@ object BioDBToOAF {
 
     Map(
       "uniprot" -> UNIPROTCollectedFrom,
-      "pdb"-> PDBCollectedFrom,
+      "pdb" -> PDBCollectedFrom,
-      "elsevier" ->ElsevierCollectedFrom,
+      "elsevier" -> ElsevierCollectedFrom,
-      "ebi" ->EBICollectedFrom,
+      "ebi" -> EBICollectedFrom,
       "Springer Nature" -> springerNatureCollectedFrom,
       "NCBI Nucleotide" -> ncbiCollectedFrom,
       "European Nucleotide Archive" -> enaCollectedFrom,
@@ -68,7 +66,7 @@ object BioDBToOAF {
     )
   }
 
-  def crossrefLinksToOaf(input:String):Oaf = {
+  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
@@ -77,16 +75,16 @@ object BioDBToOAF {
     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 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)
+    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 = {
+  def scholixResolvedToOAF(input: ScholixResolved): Oaf = {
 
     val d = new Dataset
 
@@ -127,18 +125,18 @@ object BioDBToOAF {
     d.setInstance(List(i).asJava)
 
     if (input.authors != null && input.authors.nonEmpty) {
-      val authors = input.authors.map(a =>{
+      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) {
+    if (input.date != null && input.date.nonEmpty) {
-        val dt = input.date.head
+      val dt = input.date.head
-        i.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
+      i.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
-        d.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
+      d.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
-      }
+    }
     d
   }
 
@@ -190,7 +188,7 @@ object BioDBToOAF {
           OafMapperUtils.structuredProperty(s, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, null)
         ).asJava)
     }
-    var i_date:Option[UniprotDate] = None
+    var i_date: Option[UniprotDate] = None
 
     if (dates.nonEmpty) {
       i_date = dates.find(d => d.date_info.contains("entry version"))
@@ -218,12 +216,12 @@ object BioDBToOAF {
 
 
     if (references_pmid != null && references_pmid.nonEmpty) {
-      val rel = createRelation(references_pmid.head, "pmid", d.getId, collectedFromMap("uniprot"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, if  (i_date.isDefined) i_date.get.date else null)
+      val rel = createRelation(references_pmid.head, "pmid", d.getId, collectedFromMap("uniprot"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, if (i_date.isDefined) i_date.get.date else null)
       rel.getCollectedfrom
       List(d, rel)
     }
     else if (references_doi != null && references_doi.nonEmpty) {
-      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)
+      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
@@ -231,13 +229,12 @@ object BioDBToOAF {
   }
 
 
-
+  def generate_unresolved_id(pid: String, pidType: String): String = {
-  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 = {
+  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)
@@ -251,7 +248,7 @@ object BioDBToOAF {
     rel.setTarget(s"unresolved::$pid::$pidType")
 
 
-    val dateProps:KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date)
+    val dateProps: KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date)
 
     rel.setProperties(List(dateProps).asJava)
 
@@ -262,8 +259,8 @@ object BioDBToOAF {
   }
 
 
-  def createSupplementaryRelation(pid: String, pidType: String, sourceId: String, collectedFrom: KeyValue, date:String): Relation = {
+  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)
+    createRelation(pid, pidType, sourceId, collectedFrom, ModelConstants.SUPPLEMENT, ModelConstants.IS_SUPPLEMENT_TO, date)
   }
 
 
@@ -338,7 +335,7 @@ object BioDBToOAF {
 
   def EBITargetLinksFilter(input: EBILinks): Boolean = {
 
-    input.targetPidType.equalsIgnoreCase("ena") ||   input.targetPidType.equalsIgnoreCase("pdb") ||  input.targetPidType.equalsIgnoreCase("uniprot")
+    input.targetPidType.equalsIgnoreCase("ena") || input.targetPidType.equalsIgnoreCase("pdb") || input.targetPidType.equalsIgnoreCase("uniprot")
 
   }
 

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

@@ -1,8 +1,8 @@
-package eu.dnetlib.dhp.sx.graph.bio
+package eu.dnetllib.dhp.sx.bio
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
+import eu.dnetlib.dhp.schema.oaf.Oaf
-import BioDBToOAF.ScholixResolved
+import eu.dnetllib.dhp.sx.bio.BioDBToOAF.ScholixResolved
 import org.apache.commons.io.IOUtils
 import org.apache.spark.SparkConf
 import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
@@ -31,17 +31,16 @@ object SparkTransformBioDatabaseToOAF {
         .master(parser.get("master")).getOrCreate()
     val sc = spark.sparkContext
 
-    implicit  val resultEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
+    implicit val resultEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
-    import  spark.implicits._
+    import spark.implicits._
-
     database.toUpperCase() match {
       case "UNIPROT" =>
         spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).write.mode(SaveMode.Overwrite).save(targetPath)
-      case "PDB"=>
+      case "PDB" =>
         spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))).write.mode(SaveMode.Overwrite).save(targetPath)
       case "SCHOLIX" =>
         spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)).write.mode(SaveMode.Overwrite).save(targetPath)
-      case "CROSSREF_LINKS"=>
+      case "CROSSREF_LINKS" =>
         spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))).write.mode(SaveMode.Overwrite).save(targetPath)
     }
   }

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

@@ -0,0 +1,200 @@
+package eu.dnetllib.dhp.sx.bio.ebi
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
+import eu.dnetlib.dhp.schema.oaf.Result
+import eu.dnetlib.dhp.utils.ISLookupClientFactory
+import eu.dnetllib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal, PMParser, PubMedToOaf}
+import org.apache.commons.io.IOUtils
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.{FSDataOutputStream, FileSystem, Path}
+import org.apache.http.client.config.RequestConfig
+import org.apache.http.client.methods.HttpGet
+import org.apache.http.impl.client.HttpClientBuilder
+import org.apache.spark.SparkConf
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.expressions.Aggregator
+import org.apache.spark.sql._
+import org.slf4j.{Logger, LoggerFactory}
+
+import java.io.InputStream
+import scala.io.Source
+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 end = l.lastIndexOf("\">")
+      val start = l.indexOf("<a href=\"")
+
+      if (start >= 0 && end > start)
+        l.substring(start + 9, end - start)
+      else
+        ""
+    }.filter(s => s.endsWith(".gz")).filter(s => s > maxFile).map(s => (s, s"https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/$s")).toList
+
+    result
+  }
+
+
+  def downloadBaselinePart(url: String): InputStream = {
+    val r = new HttpGet(url)
+    val timeout = 60; // seconds
+    val config = RequestConfig.custom()
+      .setConnectTimeout(timeout * 1000)
+      .setConnectionRequestTimeout(timeout * 1000)
+      .setSocketTimeout(timeout * 1000).build()
+    val client = HttpClientBuilder.create().setDefaultRequestConfig(config).build()
+    val response = client.execute(r)
+    println(s"get response with status${response.getStatusLine.getStatusCode}")
+    response.getEntity.getContent
+
+  }
+
+  def requestPage(url: String): String = {
+    val r = new HttpGet(url)
+    val timeout = 60; // seconds
+    val config = RequestConfig.custom()
+      .setConnectTimeout(timeout * 1000)
+      .setConnectionRequestTimeout(timeout * 1000)
+      .setSocketTimeout(timeout * 1000).build()
+    val client = HttpClientBuilder.create().setDefaultRequestConfig(config).build()
+    try {
+      var tries = 4
+      while (tries > 0) {
+        println(s"requesting ${r.getURI}")
+        try {
+          val response = client.execute(r)
+          println(s"get response with status${response.getStatusLine.getStatusCode}")
+          if (response.getStatusLine.getStatusCode > 400) {
+            tries -= 1
+          }
+          else
+            return IOUtils.toString(response.getEntity.getContent)
+        } catch {
+          case e: Throwable =>
+            println(s"Error on requesting ${r.getURI}")
+            e.printStackTrace()
+            tries -= 1
+        }
+      }
+      ""
+    } finally {
+      if (client != null)
+        client.close()
+    }
+  }
+
+
+  def downloadBaseLineUpdate(baselinePath: String, hdfsServerUri: String): Unit = {
+
+
+    val conf = new Configuration
+    conf.set("fs.defaultFS", hdfsServerUri)
+    val fs = FileSystem.get(conf)
+    val p = new Path(baselinePath)
+    val files = fs.listFiles(p, false)
+    var max_file = ""
+    while (files.hasNext) {
+      val c = files.next()
+      val data = c.getPath.toString
+      val fileName = data.substring(data.lastIndexOf("/") + 1)
+
+      if (fileName > max_file)
+        max_file = fileName
+    }
+
+    val files_to_download = requestBaseLineUpdatePage(max_file)
+
+    files_to_download.foreach { u =>
+      val hdfsWritePath: Path = new Path(s"$baselinePath/${u._1}")
+      val fsDataOutputStream: FSDataOutputStream = fs.create(hdfsWritePath, true)
+      val i = downloadBaselinePart(u._2)
+      IOUtils.copy(i, fsDataOutputStream)
+      println(s"Downloaded ${u._2} into $baselinePath/${u._1}")
+      fsDataOutputStream.close()
+    }
+
+  }
+
+
+  val pmArticleAggregator: Aggregator[(String, PMArticle), PMArticle, PMArticle] = new Aggregator[(String, PMArticle), PMArticle, PMArticle] with Serializable {
+    override def zero: PMArticle = new PMArticle
+
+    override def reduce(b: PMArticle, a: (String, PMArticle)): PMArticle = {
+      if (b != null && b.getPmid != null) b else a._2
+    }
+
+    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")))
+    parser.parseArgument(args)
+    val isLookupUrl: String = parser.get("isLookupUrl")
+    log.info("isLookupUrl: {}", isLookupUrl)
+    val workingPath = parser.get("workingPath")
+    log.info("workingPath: {}", workingPath)
+
+    val targetPath = parser.get("targetPath")
+    log.info("targetPath: {}", targetPath)
+
+    val hdfsServerUri = parser.get("hdfsServerUri")
+    log.info("hdfsServerUri: {}", targetPath)
+
+    val skipUpdate = parser.get("skipUpdate")
+    log.info("skipUpdate: {}", skipUpdate)
+
+
+    val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
+    val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(SparkEBILinksToOaf.getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+    val sc = spark.sparkContext
+    import spark.implicits._
+
+    implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
+    implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
+    implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
+    implicit val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
+
+    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 xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
+        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"$workingPath/baseline_dataset")
+    }
+
+    val exported_dataset = spark.read.load(s"$workingPath/baseline_dataset").as[PMArticle]
+    exported_dataset
+      .map(a => PubMedToOaf.convert(a, vocabularies)).as[Result]
+      .filter(p => p != null)
+      .write.mode(SaveMode.Overwrite).save(targetPath)
+  }
+}

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

@@ -1,33 +1,28 @@
-package eu.dnetlib.dhp.sx.graph.ebi
+package eu.dnetllib.dhp.sx.bio.ebi
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.EBILinkItem
+import eu.dnetllib.dhp.sx.bio.BioDBToOAF.EBILinkItem
-import eu.dnetlib.dhp.sx.graph.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
+import eu.dnetllib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
 import org.apache.commons.io.IOUtils
-import org.apache.hadoop.conf.Configuration
-import org.apache.hadoop.fs.{FileSystem, Path}
 import org.apache.http.client.config.RequestConfig
-import org.apache.http.client.methods.{HttpGet, HttpUriRequest}
+import org.apache.http.client.methods.HttpGet
 import org.apache.http.impl.client.HttpClientBuilder
 import org.apache.spark.SparkConf
-import org.apache.spark.sql.expressions.Aggregator
 import org.apache.spark.sql.functions.max
-import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.apache.spark.sql._
 import org.slf4j.{Logger, LoggerFactory}
 
 object SparkDownloadEBILinks {
 
-
+  def createEBILinks(pmid: Long): EBILinkItem = {
-  def createEBILinks(pmid:Long):EBILinkItem = {
 
     val res = requestLinks(pmid)
-    if (res!=null)
+    if (res != null)
       return EBILinkItem(pmid, res)
     null
   }
 
-
+  def requestPage(url: String): String = {
-  def requestPage(url:String):String = {
     val r = new HttpGet(url)
     val timeout = 60; // seconds
     val config = RequestConfig.custom()
@@ -61,46 +56,11 @@ object SparkDownloadEBILinks {
     }
   }
 
-
+  def requestLinks(PMID: Long): String = {
-  def requestBaseLineUpdatePage():List[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 end = l.lastIndexOf("\">")
-      val start = l.indexOf("<a href=\"")
-
-      if (start>= 0 && end >start)
-        l.substring(start+9, (end-start))
-      else
-        ""
-    }.filter(s =>s.endsWith(".gz") ).map(s => s"https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/$s").toList
-
-    result
-  }
-
-  def downloadBaseLineUpdate(baselinePath:String, hdfsServerUri:String ):Unit = {
-
-
-    val conf = new Configuration
-    conf.set("fs.defaultFS", hdfsServerUri)
-    val fs =  FileSystem.get(conf)
-    val p = new Path((baselinePath))
-    val files = fs.listFiles(p,false)
-
-    while (files.hasNext) {
-      val c = files.next()
-      c.getPath
-
-    }
-
-
-  }
-
-
-  def requestLinks(PMID:Long):String = {
     requestPage(s"https://www.ebi.ac.uk/europepmc/webservices/rest/MED/$PMID/datalinks?format=json")
 
   }
+
   def main(args: Array[String]): Unit = {
 
     val log: Logger = LoggerFactory.getLogger(getClass)
@@ -117,9 +77,9 @@ object SparkDownloadEBILinks {
 
     import spark.implicits._
 
-    implicit  val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
+    implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
-    implicit  val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
+    implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
-    implicit  val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
+    implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
 
     val sourcePath = parser.get("sourcePath")
     log.info(s"sourcePath  -> $sourcePath")
@@ -127,29 +87,29 @@ object SparkDownloadEBILinks {
     log.info(s"workingPath  -> $workingPath")
 
     log.info("Getting max pubmedId where the links have been 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)
+    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")
 
-    val pmidToReq:Dataset[Long] = spark.read.load(s"$workingPath/id_to_request").as[Long]
+    val pmidToReq: Dataset[Long] = spark.read.load(s"$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)
-      .reduceGroups{(x,y) =>
+      .reduceGroups { (x, y) =>
-        if (x == null || x.links ==null)
+        if (x == null || x.links == null)
           y
-        if (y ==null || y.links ==null)
+        if (y == null || y.links == null)
           x
         if (x.links.length > y.links.length)
-            x
+          x
         else
           y
       }.map(_._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/links_final")

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

@@ -1,15 +1,14 @@
-package eu.dnetlib.dhp.sx.graph.ebi
+package eu.dnetllib.dhp.sx.bio.ebi
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
 import eu.dnetlib.dhp.schema.oaf.Oaf
-import eu.dnetlib.dhp.sx.graph.bio
+import eu.dnetllib.dhp.sx.bio.BioDBToOAF
-import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF
+import eu.dnetllib.dhp.sx.bio.BioDBToOAF.EBILinkItem
-import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.EBILinkItem
 import org.apache.commons.io.IOUtils
 import org.apache.spark.SparkConf
-import org.apache.spark.rdd.RDD
+import org.apache.spark.sql._
-import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
 import org.slf4j.{Logger, LoggerFactory}
+
 object SparkEBILinksToOaf {
 
   def main(args: Array[String]): Unit = {
@@ -24,17 +23,17 @@ object SparkEBILinksToOaf {
         .appName(SparkEBILinksToOaf.getClass.getSimpleName)
         .master(parser.get("master")).getOrCreate()
 
+
+    import spark.implicits._
     val sourcePath = parser.get("sourcePath")
     log.info(s"sourcePath  -> $sourcePath")
     val targetPath = parser.get("targetPath")
     log.info(s"targetPath  -> $targetPath")
+    implicit val PMEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
 
-    import spark.implicits._
+    val ebLinks: Dataset[EBILinkItem] = spark.read.load(s"${sourcePath}_dataset").as[EBILinkItem].filter(l => l.links != null)
-    implicit  val PMEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
 
-    val ebLinks:Dataset[EBILinkItem] = spark.read.load(s"${sourcePath}_dataset").as[EBILinkItem].filter(l => l.links!= null)
+    ebLinks.flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
-
-    ebLinks.flatMap(j =>BioDBToOAF.parse_ebi_links(j.links))
       .filter(p => BioDBToOAF.EBITargetLinksFilter(p))
       .flatMap(p => BioDBToOAF.convertEBILinksToOaf(p))
       .write.mode(SaveMode.Overwrite).save(targetPath)

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetllib/dhp/sx/bio/pubmed/PMArticle.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.sx.graph.bio.pubmed;
+package eu.dnetllib.dhp.sx.bio.pubmed;
 
 import java.io.Serializable;
 import java.util.ArrayList;

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetllib/dhp/sx/bio/pubmed/PMAuthor.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.sx.graph.bio.pubmed;
+package eu.dnetllib.dhp.sx.bio.pubmed;
 
 import java.io.Serializable;
 

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetllib/dhp/sx/bio/pubmed/PMGrant.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.sx.graph.bio.pubmed;
+package eu.dnetllib.dhp.sx.bio.pubmed;
 
 public class PMGrant {
 

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetllib/dhp/sx/bio/pubmed/PMJournal.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.sx.graph.bio.pubmed;
+package eu.dnetllib.dhp.sx.bio.pubmed;
 
 import java.io.Serializable;
 

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

@@ -1,4 +1,4 @@
-package eu.dnetlib.dhp.sx.graph.bio.pubmed
+package eu.dnetllib.dhp.sx.bio.pubmed
 
 import scala.xml.MetaData
 import scala.xml.pull.{EvElemEnd, EvElemStart, EvText, XMLEventReader}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetllib/dhp/sx/bio/pubmed/PMSubject.java

@@ -1,5 +1,5 @@
 
-package eu.dnetlib.dhp.sx.graph.bio.pubmed;
+package eu.dnetllib.dhp.sx.bio.pubmed;
 
 public class PMSubject {
 	private String value;

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

@@ -1,11 +1,12 @@
-package eu.dnetlib.dhp.sx.graph.bio.pubmed
+package eu.dnetllib.dhp.sx.bio.pubmed
+
 import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
 import eu.dnetlib.dhp.schema.common.ModelConstants
-import eu.dnetlib.dhp.schema.oaf._
 import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType}
+import eu.dnetlib.dhp.schema.oaf._
+import scala.collection.JavaConverters._
 
 import java.util.regex.Pattern
-import scala.collection.JavaConverters._
 
 object PubMedToOaf {
 
@@ -15,7 +16,7 @@ object PubMedToOaf {
     "doi" -> "https://dx.doi.org/"
   )
 
-  def cleanDoi(doi:String):String = {
+  def cleanDoi(doi: String): String = {
 
     val regex = "^10.\\d{4,9}\\/[\\[\\]\\-\\<\\>._;()\\/:A-Z0-9]+$"
 
@@ -71,14 +72,14 @@ object PubMedToOaf {
     if (article.getPublicationTypes == null)
       return null
     val i = new Instance
-    var 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
 
-    var alternateIdentifier :StructuredProperty = null
+    var alternateIdentifier: StructuredProperty = null
     if (article.getDoi != null) {
       val normalizedPid = cleanDoi(article.getDoi)
-      if (normalizedPid!= null)
+      if (normalizedPid != null)
         alternateIdentifier = OafMapperUtils.structuredProperty(normalizedPid, PidType.doi.toString, PidType.doi.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo)
     }
 
@@ -102,10 +103,10 @@ object PubMedToOaf {
       return result
     result.setDataInfo(dataInfo)
     i.setPid(pidList.asJava)
-    if (alternateIdentifier!= null)
+    if (alternateIdentifier != null)
       i.setAlternateIdentifier(List(alternateIdentifier).asJava)
     result.setInstance(List(i).asJava)
-    i.getPid.asScala.filter(p => "pmid".equalsIgnoreCase(p.getQualifier.getClassid)).map(p => p.getValue)(collection breakOut)
+    i.getPid.asScala.filter(p => "pmid".equalsIgnoreCase(p.getQualifier.getClassid)).map(p => p.getValue)(collection.breakOut)
     val urlLists: List[String] = pidList
       .map(s => (urlMap.getOrElse(s.getQualifier.getClassid, ""), s.getValue))
       .filter(t => t._1.nonEmpty)
@@ -136,7 +137,7 @@ object PubMedToOaf {
     }
 
 
-    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)
+    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)
     if (subjects != null)
       result.setSubject(subjects.asJava)
 
@@ -148,7 +149,7 @@ object PubMedToOaf {
       author.setFullname(a.getFullName)
       author.setRank(index + 1)
       author
-    }(collection breakOut)
+    }(collection.breakOut)
 
 
     if (authors != null && authors.nonEmpty)

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/sx/bio/ebi/baseline_to_oaf_params.json

@@ -0,0 +1,8 @@
+[
+  {"paramName":"mt",  "paramLongName":"master",         "paramDescription": "should be local or yarn",                  "paramRequired": true},
+  {"paramName":"i",   "paramLongName":"isLookupUrl",    "paramDescription": "isLookupUrl",                              "paramRequired": true},
+  {"paramName":"w",   "paramLongName":"workingPath",    "paramDescription": "the path of the sequencial file to read",  "paramRequired": true},
+  {"paramName":"t",   "paramLongName":"targetPath",     "paramDescription": "the oaf path ",                            "paramRequired": true},
+  {"paramName":"s",   "paramLongName":"skipUpdate",     "paramDescription": "skip update ",                             "paramRequired": false},
+  {"paramName":"h",   "paramLongName":"hdfsServerUri",  "paramDescription": "the  working path ",                       "paramRequired": true}
+]

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/sx/bio/ebi/ebi_download_update.json

@@ -0,0 +1,5 @@
+[
+  {"paramName":"mt",  "paramLongName":"master",         "paramDescription": "should be local or yarn",    "paramRequired": true},
+  {"paramName":"s",   "paramLongName":"sourcePath",     "paramDescription": "the source Path",            "paramRequired": true},
+  {"paramName":"w",   "paramLongName":"workingPath",    "paramDescription": "the  working path ",         "paramRequired": true}
+]

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/sx/bio/pubmed/oozie_app/workflow.xml

@@ -1,17 +1,22 @@
-    <workflow-app name="Transform_Pubmed_Workflow" xmlns="uri:oozie:workflow:0.5">
+    <workflow-app name="Download_Transform_Pubmed_Workflow" xmlns="uri:oozie:workflow:0.5">
     <parameters>
         <property>
             <name>baselineWorkingPath</name>
             <description>the Baseline Working Path</description>
         </property>
-        <property>
-            <name>targetPath</name>
-            <description>the Target Path</description>
-        </property>
         <property>
             <name>isLookupUrl</name>
             <description>The IS lookUp service endopoint</description>
         </property>
+        <property>
+            <name>targetPath</name>
+            <description>The target path</description>
+        </property>
+        <property>
+            <name>skipUpdate</name>
+            <value>false</value>
+            <description>The request block size</description>
+        </property>
     </parameters>
 
     <start to="ConvertDataset"/>
@@ -24,9 +29,9 @@
         <spark xmlns="uri:oozie:spark-action:0.2">
             <master>yarn</master>
             <mode>cluster</mode>
-            <name>Convert Baseline to Dataset</name>
+            <name>Convert Baseline to OAF Dataset</name>
-            <class>eu.dnetlib.dhp.sx.graph.ebi.SparkCreateBaselineDataFrame</class>
+            <class>eu.dnetllib.dhp.sx.bio.ebi.SparkCreateBaselineDataFrame</class>
-            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
             <spark-opts>
                 --executor-memory=${sparkExecutorMemory}
                 --executor-cores=${sparkExecutorCores}
@@ -41,6 +46,8 @@
             <arg>--targetPath</arg><arg>${targetPath}</arg>
             <arg>--master</arg><arg>yarn</arg>
             <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
+            <arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
+            <arg>--skipUpdate</arg><arg>${skipUpdate}</arg>
         </spark>
         <ok to="End"/>
         <error to="Kill"/>

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

@@ -1,13 +1,10 @@
-package eu.dnetlib.dhp.sx.graph.bio.pubmed
+package eu.dnetllib.dhp.sx.bio
 
 import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper, SerializationFeature}
-import eu.dnetlib.dhp.schema.common.ModelConstants
+import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
-import eu.dnetlib.dhp.schema.oaf.utils.{CleaningFunctions, OafMapperUtils, PidType}
 import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
-import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.ScholixResolved
+import eu.dnetllib.dhp.sx.bio.BioDBToOAF.ScholixResolved
-import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF
+import eu.dnetllib.dhp.sx.bio.pubmed.{PMArticle, PMParser, PubMedToOaf}
-import eu.dnetlib.dhp.sx.graph.bio.pubmed.PubMedToOaf.dataInfo
-import eu.dnetlib.dhp.sx.graph.ebi.SparkDownloadEBILinks
 import org.json4s.DefaultFormats
 import org.json4s.JsonAST.{JField, JObject, JString}
 import org.json4s.jackson.JsonMethods.parse
@@ -51,16 +48,11 @@ class BioScholixTest extends AbstractVocabularyTest{
   }
 
 
-  @Test
-  def testDownloadEBIUpdate() = {
-    val data = SparkDownloadEBILinks.requestBaseLineUpdatePage()
-    println(data)
-  }
  
 
   @Test
   def testEBIData() = {
-    val inputXML = Source.fromInputStream(getClass.getResourceAsStream("pubmed.xml")).mkString
+    val inputXML = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml")).mkString
     val xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes()))
     new PMParser(xml).foreach(s =>println(mapper.writeValueAsString(s)))
   }
@@ -70,7 +62,7 @@ class BioScholixTest extends AbstractVocabularyTest{
   def testPubmedToOaf(): Unit = {
     assertNotNull(vocabularies)
     assertTrue(vocabularies.vocabularyExists("dnet:publication_resource"))
-    val records:String =Source.fromInputStream(getClass.getResourceAsStream("pubmed_dump")).mkString
+    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)))

dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkWhitelistSimRels.java

@@ -1,3 +1,4 @@
+
 package eu.dnetlib.dhp.oa.dedup;
 
 import java.io.IOException;
@@ -5,10 +6,7 @@ import java.util.Optional;
 
 import org.apache.commons.io.IOUtils;
 import org.apache.spark.SparkConf;
-import org.apache.spark.api.java.JavaPairRDD;
-import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
-import org.apache.spark.api.java.function.FilterFunction;
 import org.apache.spark.api.java.function.MapFunction;
 import org.apache.spark.api.java.function.PairFunction;
 import org.apache.spark.sql.Dataset;
@@ -21,7 +19,6 @@ import org.slf4j.LoggerFactory;
 import org.xml.sax.SAXException;
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
-import eu.dnetlib.dhp.oa.dedup.model.Block;
 import eu.dnetlib.dhp.schema.oaf.DataInfo;
 import eu.dnetlib.dhp.schema.oaf.Relation;
 import eu.dnetlib.dhp.utils.ISLookupClientFactory;
@@ -31,121 +28,127 @@ import eu.dnetlib.pace.config.DedupConfig;
 import eu.dnetlib.pace.model.MapDocument;
 import eu.dnetlib.pace.util.MapDocumentUtil;
 import scala.Tuple2;
-import scala.Tuple3;
 
 public class SparkWhitelistSimRels extends AbstractSparkAction {
 
-    private static final Logger log = LoggerFactory.getLogger(SparkCreateSimRels.class);
+	private static final Logger log = LoggerFactory.getLogger(SparkCreateSimRels.class);
 
-    private static final String WHITELIST_SEPARATOR = "####";
+	private static final String WHITELIST_SEPARATOR = "####";
 
-    public SparkWhitelistSimRels(ArgumentApplicationParser parser, SparkSession spark) {
+	public SparkWhitelistSimRels(ArgumentApplicationParser parser, SparkSession spark) {
-        super(parser, spark);
+		super(parser, spark);
-    }
+	}
 
-    public static void main(String[] args) throws Exception {
+	public static void main(String[] args) throws Exception {
-        ArgumentApplicationParser parser = new ArgumentApplicationParser(
+		ArgumentApplicationParser parser = new ArgumentApplicationParser(
-                IOUtils
+			IOUtils
-                        .toString(
+				.toString(
-                                SparkCreateSimRels.class
+					SparkCreateSimRels.class
-                                        .getResourceAsStream(
+						.getResourceAsStream(
-                                                "/eu/dnetlib/dhp/oa/dedup/whitelistSimRels_parameters.json")));
+							"/eu/dnetlib/dhp/oa/dedup/whitelistSimRels_parameters.json")));
-        parser.parseArgument(args);
+		parser.parseArgument(args);
 
-        SparkConf conf = new SparkConf();
+		SparkConf conf = new SparkConf();
-        new SparkWhitelistSimRels(parser, getSparkSession(conf))
+		new SparkWhitelistSimRels(parser, getSparkSession(conf))
-                .run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")));
+			.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")));
-    }
+	}
 
-    @Override
+	@Override
-    public void run(ISLookUpService isLookUpService)
+	public void run(ISLookUpService isLookUpService)
-            throws DocumentException, IOException, ISLookUpException, SAXException {
+		throws DocumentException, IOException, ISLookUpException, SAXException {
 
-        // read oozie parameters
+		// read oozie parameters
-        final String graphBasePath = parser.get("graphBasePath");
+		final String graphBasePath = parser.get("graphBasePath");
-        final String isLookUpUrl = parser.get("isLookUpUrl");
+		final String isLookUpUrl = parser.get("isLookUpUrl");
-        final String actionSetId = parser.get("actionSetId");
+		final String actionSetId = parser.get("actionSetId");
-        final String workingPath = parser.get("workingPath");
+		final String workingPath = parser.get("workingPath");
-        final int numPartitions = Optional
+		final int numPartitions = Optional
-                .ofNullable(parser.get("numPartitions"))
+			.ofNullable(parser.get("numPartitions"))
-                .map(Integer::valueOf)
+			.map(Integer::valueOf)
-                .orElse(NUM_PARTITIONS);
+			.orElse(NUM_PARTITIONS);
-        final String whiteListPath = parser.get("whiteListPath");
+		final String whiteListPath = parser.get("whiteListPath");
 
-        log.info("numPartitions: '{}'", numPartitions);
+		log.info("numPartitions: '{}'", numPartitions);
-        log.info("graphBasePath: '{}'", graphBasePath);
+		log.info("graphBasePath: '{}'", graphBasePath);
-        log.info("isLookUpUrl:   '{}'", isLookUpUrl);
+		log.info("isLookUpUrl:   '{}'", isLookUpUrl);
-        log.info("actionSetId:   '{}'", actionSetId);
+		log.info("actionSetId:   '{}'", actionSetId);
-        log.info("workingPath:   '{}'", workingPath);
+		log.info("workingPath:   '{}'", workingPath);
-        log.info("whiteListPath: '{}'", whiteListPath);
+		log.info("whiteListPath: '{}'", whiteListPath);
 
-        JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+		JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
 
-        //file format: source####target
+		// file format: source####target
-        Dataset<Tuple2<String, String>> whiteListRels = spark.createDataset(sc
+		Dataset<Tuple2<String, String>> whiteListRels = spark
-                        .textFile(whiteListPath)
+			.createDataset(
-                        //check if the line is in the correct format: id1####id2
+				sc
-                        .filter(s -> s.contains(WHITELIST_SEPARATOR) && s.split(WHITELIST_SEPARATOR).length == 2)
+					.textFile(whiteListPath)
-                        .map(s -> new Tuple2<>(s.split(WHITELIST_SEPARATOR)[0], s.split(WHITELIST_SEPARATOR)[1]))
+					// check if the line is in the correct format: id1####id2
-                        .rdd(),
+					.filter(s -> s.contains(WHITELIST_SEPARATOR) && s.split(WHITELIST_SEPARATOR).length == 2)
-                Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
+					.map(s -> new Tuple2<>(s.split(WHITELIST_SEPARATOR)[0], s.split(WHITELIST_SEPARATOR)[1]))
+					.rdd(),
+				Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
 
-        // for each dedup configuration
+		// for each dedup configuration
-        for (DedupConfig dedupConf : getConfigurations(isLookUpService, actionSetId)) {
+		for (DedupConfig dedupConf : getConfigurations(isLookUpService, actionSetId)) {
 
-            final String entity = dedupConf.getWf().getEntityType();
+			final String entity = dedupConf.getWf().getEntityType();
-            final String subEntity = dedupConf.getWf().getSubEntityValue();
+			final String subEntity = dedupConf.getWf().getSubEntityValue();
-            log.info("Adding whitelist simrels for: '{}'", subEntity);
+			log.info("Adding whitelist simrels for: '{}'", subEntity);
 
-            final String outputPath = DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity);
+			final String outputPath = DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity);
 
-            Dataset<Tuple2<String, String>> entities = spark.createDataset(sc
+			Dataset<Tuple2<String, String>> entities = spark
-                    .textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
+				.createDataset(
-                    .repartition(numPartitions)
+					sc
-                    .mapToPair(
+						.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
-                            (PairFunction<String, String, String>) s -> {
+						.repartition(numPartitions)
-                                MapDocument d = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, s);
+						.mapToPair(
-                                return new Tuple2<>(d.getIdentifier(), "present");
+							(PairFunction<String, String, String>) s -> {
-                            })
+								MapDocument d = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, s);
-                    .rdd(),
+								return new Tuple2<>(d.getIdentifier(), "present");
-                    Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
+							})
+						.rdd(),
+					Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
 
-            Dataset<Tuple2<String, String>> whiteListRels1 = whiteListRels
+			Dataset<Tuple2<String, String>> whiteListRels1 = whiteListRels
-                    .joinWith(entities, whiteListRels.col("_1").equalTo(entities.col("_1")), "inner")
+				.joinWith(entities, whiteListRels.col("_1").equalTo(entities.col("_1")), "inner")
-                    .map((MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1, Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
+				.map(
+					(MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1,
+					Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
 
-            Dataset<Tuple2<String, String>> whiteListRels2 = whiteListRels1
+			Dataset<Tuple2<String, String>> whiteListRels2 = whiteListRels1
-                    .joinWith(entities, whiteListRels1.col("_2").equalTo(entities.col("_1")), "inner")
+				.joinWith(entities, whiteListRels1.col("_2").equalTo(entities.col("_1")), "inner")
-                    .map((MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1, Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
+				.map(
+					(MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1,
+					Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
 
-            Dataset<Relation> whiteListSimRels = whiteListRels2
+			Dataset<Relation> whiteListSimRels = whiteListRels2
-                    .map((MapFunction<Tuple2<String, String>, Relation>)
+				.map(
-                                    r -> createSimRel(r._1(), r._2(), entity),
+					(MapFunction<Tuple2<String, String>, Relation>) r -> createSimRel(r._1(), r._2(), entity),
-                                    Encoders.bean(Relation.class)
+					Encoders.bean(Relation.class));
-                    );
 
-            saveParquet(whiteListSimRels, outputPath, SaveMode.Append);
+			saveParquet(whiteListSimRels, outputPath, SaveMode.Append);
-        }
+		}
-    }
+	}
 
-    private Relation createSimRel(String source, String target, String entity) {
+	private Relation createSimRel(String source, String target, String entity) {
-        final Relation r = new Relation();
+		final Relation r = new Relation();
-        r.setSource(source);
+		r.setSource(source);
-        r.setTarget(target);
+		r.setTarget(target);
-        r.setSubRelType("dedupSimilarity");
+		r.setSubRelType("dedupSimilarity");
-        r.setRelClass("isSimilarTo");
+		r.setRelClass("isSimilarTo");
-        r.setDataInfo(new DataInfo());
+		r.setDataInfo(new DataInfo());
 
-        switch (entity) {
+		switch (entity) {
-            case "result":
+			case "result":
-                r.setRelType("resultResult");
+				r.setRelType("resultResult");
-                break;
+				break;
-            case "organization":
+			case "organization":
-                r.setRelType("organizationOrganization");
+				r.setRelType("organizationOrganization");
-                break;
+				break;
-            default:
+			default:
-                throw new IllegalArgumentException("unmanaged entity type: " + entity);
+				throw new IllegalArgumentException("unmanaged entity type: " + entity);
-        }
+		}
-        return r;
+		return r;
-    }
+	}
 }

dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/UpdateOpenorgsJob.java

@@ -0,0 +1,117 @@
+
+package eu.dnetlib.dhp.oa.dedup;
+
+import java.util.concurrent.TimeUnit;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.http.client.methods.CloseableHttpResponse;
+import org.apache.http.client.methods.HttpGet;
+import org.apache.http.impl.client.CloseableHttpClient;
+import org.apache.http.impl.client.HttpClients;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class UpdateOpenorgsJob {
+
+	private static final Logger log = LoggerFactory.getLogger(UpdateOpenorgsJob.class);
+
+	public static void main(String[] args) throws Exception {
+		ArgumentApplicationParser parser = new ArgumentApplicationParser(
+			IOUtils
+				.toString(
+					SparkCreateSimRels.class
+						.getResourceAsStream("/eu/dnetlib/dhp/oa/dedup/updateOpenorgsJob_parameters.json")));
+		parser.parseArgument(args);
+
+		final String apiUrl = parser.get("apiUrl");
+		final int delay = Integer.parseInt(parser.get("delay"));
+
+		log.info("apiUrl: '{}'", apiUrl);
+		log.info("delay: '{}'", delay);
+
+		APIResponse res = httpCall(apiUrl);
+		while (res != null && res.getStatus().equals(ImportStatus.RUNNING)) {
+			TimeUnit.MINUTES.sleep(delay);
+			res = httpCall(apiUrl + "/status");
+		}
+
+		if (res == null) {
+			log.error("Openorgs Update FAILED: No response");
+			throw new RuntimeException("Openorgs Update FAILED: No response");
+		}
+
+		if (res.getStatus() == null || !res.getStatus().equals(ImportStatus.SUCCESS)) {
+			log.error("Openorgs Update FAILED: '{}' - '{}'", res.getStatus(), res.getMessage());
+			throw new RuntimeException(res.getMessage());
+		}
+
+	}
+
+	private static APIResponse httpCall(final String url) throws Exception {
+		final HttpGet req = new HttpGet(url);
+
+		try (final CloseableHttpClient client = HttpClients.createDefault()) {
+			try (final CloseableHttpResponse response = client.execute(req)) {
+				final String s = IOUtils.toString(response.getEntity().getContent());
+				return (new ObjectMapper()).readValue(s, APIResponse.class);
+			}
+		}
+	}
+
+}
+
+class APIResponse {
+	private String id;
+	private Long dateStart;
+	private Long dateEnd;
+	private ImportStatus status;
+	private String message;
+
+	public String getId() {
+		return id;
+	}
+
+	public void setId(String id) {
+		this.id = id;
+	}
+
+	public Long getDateStart() {
+		return dateStart;
+	}
+
+	public void setDateStart(Long dateStart) {
+		this.dateStart = dateStart;
+	}
+
+	public Long getDateEnd() {
+		return dateEnd;
+	}
+
+	public void setDateEnd(Long dateEnd) {
+		this.dateEnd = dateEnd;
+	}
+
+	public ImportStatus getStatus() {
+		return status;
+	}
+
+	public void setStatus(ImportStatus status) {
+		this.status = status;
+	}
+
+	public String getMessage() {
+		return message;
+	}
+
+	public void setMessage(String message) {
+		this.message = message;
+	}
+}
+
+enum ImportStatus {
+	SUCCESS, FAILED, RUNNING, NOT_LAUNCHED, NOT_YET_STARTED
+}

dhp-workflows/dhp-dedup-openaire/src/main/resources/eu/dnetlib/dhp/oa/dedup/openorgs/oozie_app/workflow.xml

@@ -28,6 +28,11 @@
             <name>dbPwd</name>
             <description>password to access the OpenOrgs database</description>
         </property>
+        <property>
+            <name>dbConnections</name>
+            <value>10</value>
+            <description>number of connections to the postgres db</description>
+        </property>
         <property>
             <name>workingPath</name>
             <description>path for the working directory</description>
@@ -223,7 +228,7 @@
             <arg>--dbTable</arg><arg>${dbTable}</arg>
             <arg>--dbUser</arg><arg>${dbUser}</arg>
             <arg>--dbPwd</arg><arg>${dbPwd}</arg>
-            <arg>--numConnections</arg><arg>20</arg>
+            <arg>--numConnections</arg><arg>${dbConnections}</arg>
         </spark>
         <ok to="PrepareNewOrgs"/>
         <error to="Kill"/>
@@ -254,19 +259,24 @@
             <arg>--dbTable</arg><arg>${dbTable}</arg>
             <arg>--dbUser</arg><arg>${dbUser}</arg>
             <arg>--dbPwd</arg><arg>${dbPwd}</arg>
-            <arg>--numConnections</arg><arg>20</arg>
+            <arg>--numConnections</arg><arg>${dbConnections}</arg>
         </spark>
         <ok to="update_openorgs"/>
         <error to="Kill"/>
     </action>
 
     <action name="update_openorgs">
-        <shell xmlns="uri:oozie:shell-action:0.1">
+        <java>
-            <job-tracker>${jobTracker}</job-tracker>
+            <configuration>
-            <name-node>${nameNode}</name-node>
+                <property>
-            <exec>/usr/bin/curl</exec>
+                    <name>oozie.launcher.mapreduce.user.classpath.first</name>
-            <argument>${apiUrl}</argument>
+                    <value>true</value>
-        </shell>
+                </property>
+            </configuration>
+            <main-class>eu.dnetlib.dhp.oa.dedup.UpdateOpenorgsJob</main-class>
+            <arg>--apiUrl</arg><arg>${apiUrl}</arg>
+            <arg>--delay</arg><arg>5</arg>
+        </java>
         <ok to="End"/>
         <error to="Kill"/>
     </action>

dhp-workflows/dhp-dedup-openaire/src/main/resources/eu/dnetlib/dhp/oa/dedup/updateOpenorgsJob_parameters.json

@@ -0,0 +1,14 @@
+[
+  {
+    "paramName": "api",
+    "paramLongName": "apiUrl",
+    "paramDescription": "the url of the API",
+    "paramRequired": true
+  },
+  {
+    "paramName": "d",
+    "paramLongName": "delay",
+    "paramDescription": "delay for the HTTP call in minutes",
+    "paramRequired": true
+  }
+]

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

@@ -208,7 +208,7 @@ object SparkGenerateDoiBoost {
         (r.getTarget,r)
         else
         ("resolved", r)
-    })
+    })(Encoders.tuple(Encoders.STRING, mapEncoderRel))
 
     val openaireOrganization:Dataset[(String,String)] = spark.read.text(openaireOrganizationPath).as[String].flatMap(s => extractIdGRID(s)).groupByKey(_._2).reduceGroups((x,y) => if (x != null) x else y ).map(_._2)
 
@@ -222,7 +222,7 @@ object SparkGenerateDoiBoost {
           else
             currentRels.setTarget(currentOrgs._1)
       currentRels
-      }.write.save(s"$workingDirPath/doiBoostPublicationAffiliation")
+      }.filter(r=> !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved")).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation")
 
     magPubs.joinWith(a,magPubs("_1").equalTo(a("PaperId"))).map( item => {
       val affiliation = item._2

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/process/oozie_app/workflow.xml

@@ -48,7 +48,7 @@
         <!--    MAG Parameters    -->
         <property>
             <name>inputPathMAG</name>
-            <description>the MAG working path</description>
+            <description>the MAG input path</description>
         </property>
 
 
@@ -138,7 +138,7 @@
                 --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
             </spark-opts>
             <arg>--sourcePath</arg><arg>${inputPathMAG}/dataset</arg>
-            <arg>--workingPath</arg><arg>${inputPathMAG}/process_p</arg>
+            <arg>--workingPath</arg><arg>${workingPath}/MAG</arg>
             <arg>--targetPath</arg><arg>${workingPath}</arg>
             <arg>--master</arg><arg>yarn-cluster</arg>
         </spark>

dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/PropagationConstant.java

@@ -69,7 +69,7 @@ public class PropagationConstant {
 					PROPAGATION_DATA_INFO_TYPE,
 					PROPAGATION_COUNTRY_INSTREPO_CLASS_ID,
 					PROPAGATION_COUNTRY_INSTREPO_CLASS_NAME,
-						ModelConstants.DNET_PROVENANCE_ACTIONS));
+					ModelConstants.DNET_PROVENANCE_ACTIONS));
 		return nc;
 	}
 
@@ -84,7 +84,8 @@ public class PropagationConstant {
 		return di;
 	}
 
-	public static Qualifier getQualifier(String inference_class_id, String inference_class_name, String qualifierSchema) {
+	public static Qualifier getQualifier(String inference_class_id, String inference_class_name,
+		String qualifierSchema) {
 		Qualifier pa = new Qualifier();
 		pa.setClassid(inference_class_id);
 		pa.setClassname(inference_class_name);
@@ -108,7 +109,11 @@ public class PropagationConstant {
 		r.setRelClass(rel_class);
 		r.setRelType(rel_type);
 		r.setSubRelType(subrel_type);
-		r.setDataInfo(getDataInfo(inference_provenance, inference_class_id, inference_class_name, ModelConstants.DNET_PROVENANCE_ACTIONS));
+		r
+			.setDataInfo(
+				getDataInfo(
+					inference_provenance, inference_class_id, inference_class_name,
+					ModelConstants.DNET_PROVENANCE_ACTIONS));
 		return r;
 	}
 

dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/SparkOrcidToResultFromSemRelJob.java

@@ -173,14 +173,17 @@ public class SparkOrcidToResultFromSemRelJob {
 		if (toaddpid) {
 			StructuredProperty p = new StructuredProperty();
 			p.setValue(autoritative_author.getOrcid());
-			p.setQualifier(getQualifier(ModelConstants.ORCID_PENDING, ModelConstants.ORCID_CLASSNAME, ModelConstants.DNET_PID_TYPES));
+			p
+				.setQualifier(
+					getQualifier(
+						ModelConstants.ORCID_PENDING, ModelConstants.ORCID_CLASSNAME, ModelConstants.DNET_PID_TYPES));
 			p
 				.setDataInfo(
 					getDataInfo(
 						PROPAGATION_DATA_INFO_TYPE,
 						PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID,
 						PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME,
-							ModelConstants.DNET_PROVENANCE_ACTIONS));
+						ModelConstants.DNET_PROVENANCE_ACTIONS));
 
 			Optional<List<StructuredProperty>> authorPid = Optional.ofNullable(author.getPid());
 			if (authorPid.isPresent()) {

dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/resulttocommunityfromorganization/SparkResultToCommunityFromOrganizationJob.java

@@ -10,7 +10,6 @@ import java.util.List;
 import java.util.Optional;
 import java.util.stream.Collectors;
 
-import eu.dnetlib.dhp.schema.common.ModelConstants;
 import org.apache.commons.io.IOUtils;
 import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.function.MapFunction;
@@ -22,6 +21,7 @@ import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
 import eu.dnetlib.dhp.schema.oaf.Context;
 import eu.dnetlib.dhp.schema.oaf.Result;
 import scala.Tuple2;
@@ -130,7 +130,7 @@ public class SparkResultToCommunityFromOrganizationJob {
 											PROPAGATION_DATA_INFO_TYPE,
 											PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_ID,
 											PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME,
-												ModelConstants.DNET_PROVENANCE_ACTIONS)));
+											ModelConstants.DNET_PROVENANCE_ACTIONS)));
 						propagatedContexts.add(newContext);
 					}
 				}

dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/resulttocommunityfromsemrel/SparkResultToCommunityThroughSemRelJob.java

@@ -7,7 +7,6 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
 import java.util.*;
 import java.util.stream.Collectors;
 
-import eu.dnetlib.dhp.schema.common.ModelConstants;
 import org.apache.commons.io.IOUtils;
 import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.function.MapFunction;
@@ -20,6 +19,7 @@ import org.slf4j.LoggerFactory;
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
 import eu.dnetlib.dhp.schema.oaf.*;
 import scala.Tuple2;
 
@@ -126,7 +126,7 @@ public class SparkResultToCommunityThroughSemRelJob {
 													PROPAGATION_DATA_INFO_TYPE,
 													PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID,
 													PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME,
-														ModelConstants.DNET_PROVENANCE_ACTIONS)));
+													ModelConstants.DNET_PROVENANCE_ACTIONS)));
 								return newContext;
 							}
 							return null;

dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/ebi/SparkCreateBaselineDataFrame.scala

@@ -1,93 +0,0 @@
-package eu.dnetlib.dhp.sx.graph.ebi
-
-import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
-import eu.dnetlib.dhp.schema.oaf.Result
-import eu.dnetlib.dhp.sx.graph.bio.pubmed.{PMArticle, PMAuthor, PMJournal, PMParser, PubMedToOaf}
-import eu.dnetlib.dhp.utils.ISLookupClientFactory
-import org.apache.commons.io.IOUtils
-import org.apache.spark.SparkConf
-import org.apache.spark.rdd.RDD
-import org.apache.spark.sql.expressions.Aggregator
-import org.apache.spark.sql._
-import org.slf4j.{Logger, LoggerFactory}
-
-import scala.io.Source
-import scala.xml.pull.XMLEventReader
-
-object SparkCreateBaselineDataFrame {
-
-
-  val pmArticleAggregator: Aggregator[(String, PMArticle), PMArticle, PMArticle] = new Aggregator[(String, PMArticle), PMArticle, PMArticle] with Serializable {
-    override def zero: PMArticle = new PMArticle
-
-    override def reduce(b: PMArticle, a: (String, PMArticle)): PMArticle = {
-      if (b != null && b.getPmid!= null)   b  else a._2
-    }
-
-    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/graph/ebi/baseline_to_oaf_params.json")))
-    parser.parseArgument(args)
-    val isLookupUrl: String = parser.get("isLookupUrl")
-    log.info("isLookupUrl: {}", isLookupUrl)
-    val workingPath = parser.get("workingPath")
-    log.info("workingPath: {}", workingPath)
-
-    val targetPath = parser.get("targetPath")
-    log.info("targetPath: {}", targetPath)
-
-    val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
-    val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
-    val spark: SparkSession =
-      SparkSession
-        .builder()
-        .config(conf)
-        .appName(SparkEBILinksToOaf.getClass.getSimpleName)
-        .master(parser.get("master")).getOrCreate()
-    import spark.implicits._
-
-
-    val sc = spark.sparkContext
-
-
-
-    implicit  val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
-    implicit  val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
-    implicit  val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
-    implicit  val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
-
-    val k: RDD[(String, String)] = sc.wholeTextFiles(s"$workingPath/baseline",2000)
-    val ds:Dataset[PMArticle] = spark.createDataset(k.filter(i => i._1.endsWith(".gz")).flatMap(i =>{
-      val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
-      new PMParser(xml)
-
-    } ))
-
-    ds.map(p => (p.getPmid,p))(Encoders.tuple(Encoders.STRING, PMEncoder)).groupByKey(_._1)
-      .agg(pmArticleAggregator.toColumn)
-      .map(p => p._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_dataset")
-
-    val exported_dataset = spark.read.load(s"$workingPath/baseline_dataset").as[PMArticle]
-    exported_dataset
-      .map(a => PubMedToOaf.convert(a, vocabularies)).as[Result]
-      .filter(p => p!= null)
-      .write.mode(SaveMode.Overwrite).save(targetPath)
-
-    //s"$workingPath/oaf/baseline_oaf"
-  }
-}

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

@@ -1,7 +1,6 @@
 package eu.dnetlib.dhp.sx.graph.pangaea
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.sx.graph.ebi.SparkEBILinksToOaf
 import org.apache.spark.rdd.RDD
 import org.apache.spark.{SparkConf, SparkContext}
 import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}

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

@@ -1,6 +0,0 @@
-[
-  {"paramName":"mt",  "paramLongName":"master",     "paramDescription": "should be local or yarn",                  "paramRequired": true},
-  {"paramName":"i",   "paramLongName":"isLookupUrl","paramDescription": "isLookupUrl",                              "paramRequired": true},
-  {"paramName":"w",   "paramLongName":"workingPath","paramDescription": "the path of the sequencial file to read",  "paramRequired": true},
-  {"paramName":"t",   "paramLongName":"targetPath","paramDescription": "the oaf path ",                             "paramRequired": true}
-]

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

@@ -1,5 +0,0 @@
-[
-  {"paramName":"mt",  "paramLongName":"master",     "paramDescription": "should be local or yarn",    "paramRequired": true},
-  {"paramName":"s",   "paramLongName":"sourcePath","paramDescription": "the source Path",             "paramRequired": true},
-  {"paramName":"w",   "paramLongName":"workingPath","paramDescription": "the  working path ",         "paramRequired": true}
-]

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

@@ -25,7 +25,6 @@
         <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
     </kill>
 
-
     <action name="GenerateBaselineDataset">
         <spark xmlns="uri:oozie:spark-action:0.2">
             <master>yarn-cluster</master>
@@ -43,6 +42,7 @@
             </spark-opts>
             <arg>--workingPath</arg><arg>${workingPath}</arg>
             <arg>--master</arg><arg>yarn</arg>
+            <arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
         </spark>
         <ok to="End"/>
         <error to="Kill"/>

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

@@ -1,59 +1,67 @@
-<workflow-app name="Create EBI Dataset" xmlns="uri:oozie:workflow:0.5">
+    <workflow-app name="Create EBI Dataset" xmlns="uri:oozie:workflow:0.5">
-    <parameters>
+        <parameters>
-        <property>
+            <property>
-            <name>sourcePath</name>
+                <name>sourcePath</name>
-            <description>the Working Path</description>
+                <description>the Working Path</description>
-        </property>
+            </property>
-        <property>
+            <property>
-            <name>workingPath</name>
+                <name>workingPath</name>
-            <description>the Working Path</description>
+                <description>the Working Path</description>
-        </property>
+            </property>
-        <property>
+            <property>
-            <name>sparkDriverMemory</name>
+                <name>sparkDriverMemory</name>
-            <description>memory for driver process</description>
+                <description>memory for driver process</description>
-        </property>
+            </property>
-        <property>
+            <property>
-            <name>sparkExecutorMemory</name>
+                <name>sparkExecutorMemory</name>
-            <description>memory for individual executor</description>
+                <description>memory for individual executor</description>
-        </property>
+            </property>
-        <property>
+            <property>
-            <name>sparkExecutorCores</name>
+                <name>sparkExecutorCores</name>
-            <description>number of cores used by single executor</description>
+                <description>number of cores used by single executor</description>
-        </property>
+            </property>
-    </parameters>
+        </parameters>
 
-    <start to="DownloadEBILinks"/>
+        <start to="DownloadEBILinks"/>
 
 
-    <kill name="Kill">
+        <kill name="Kill">
-        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+            <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
-    </kill>
+        </kill>
 
 
-    <action name="DownloadEBILinks">
+        <action name="DownloadEBILinks">
-        <spark xmlns="uri:oozie:spark-action:0.2">
+            <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn-cluster</master>
+                <master>yarn-cluster</master>
-            <mode>cluster</mode>
+                <mode>cluster</mode>
-            <name>Incremental Download EBI Links</name>
+                <name>Incremental Download EBI Links</name>
-            <class>eu.dnetlib.dhp.sx.graph.ebi.SparkDownloadEBILinks</class>
+                <class>eu.dnetlib.dhp.sx.graph.ebi.SparkDownloadEBILinks</class>
-            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
+                <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
-            <spark-opts>
+                <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
+                    --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
+                    --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
+                    --driver-memory=${sparkDriverMemory}
-                --conf spark.extraListeners=${spark2ExtraListeners}
+                    --conf spark.extraListeners=${spark2ExtraListeners}
-                --conf spark.sql.shuffle.partitions=2000
+                    --conf spark.sql.shuffle.partitions=2000
-                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                    --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
-                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                    --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
-                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+                    --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
-            </spark-opts>
+                </spark-opts>
-            <arg>--sourcePath</arg><arg>${sourcePath}</arg>
+                <arg>--sourcePath</arg><arg>${sourcePath}</arg>
-            <arg>--workingPath</arg><arg>${workingPath}</arg>
+                <arg>--workingPath</arg><arg>${workingPath}</arg>
-            <arg>--master</arg><arg>yarn</arg>
+                <arg>--master</arg><arg>yarn</arg>
-        </spark>
+            </spark>
-        <ok to="End"/>
+            <ok to="OverrideFolders"/>
-        <error to="Kill"/>
+            <error to="Kill"/>
-    </action>
+        </action>
-
+        <action name="OverrideFolders">
-    <end name="End"/>
+            <fs>
-</workflow-app>
+                <delete path="${sourcePath}/ebi_links_dataset_old"/>
+                <move source="${sourcePath}/ebi_links_dataset" target="${sourcePath}/ebi_links_dataset_old"/>
+                <move source="${workingPath}/links_final" target="${sourcePath}/ebi_links_dataset"/>
+            </fs>
+            <ok to="End"/>
+            <error to="Kill"/>
+        </action>
+        <end name="End"/>
+    </workflow-app>

dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/IndexRecordTransformerTest.java

@@ -84,7 +84,28 @@ public class IndexRecordTransformerTest {
 
 	@Test
 	public void testForEOSCFutureTraining() throws IOException, TransformerException {
-		final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/training-notebooks-seadatanet.xml"));
+		final String record = IOUtils
+			.toString(getClass().getResourceAsStream("eosc-future/training-notebooks-seadatanet.xml"));
+		testRecordTransformation(record);
+	}
+
+	@Test
+	public void testForEOSCFutureAirQualityCopernicus() throws IOException, TransformerException {
+		final String record = IOUtils
+			.toString(getClass().getResourceAsStream("eosc-future/air-quality-copernicus.xml"));
+		testRecordTransformation(record);
+	}
+
+	@Test
+	public void testForEOSCFutureB2SharePlotSw() throws IOException, TransformerException {
+		final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/b2share-plot-sw.xml"));
+		testRecordTransformation(record);
+	}
+
+	@Test
+	public void testForEOSCFutureB2SharePlotRelatedORP() throws IOException, TransformerException {
+		final String record = IOUtils
+			.toString(getClass().getResourceAsStream("eosc-future/b2share-plot-related-orp.xml"));
 		testRecordTransformation(record);
 	}
 

dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/eosc-future/air-quality-copernicus.xml

@@ -0,0 +1,114 @@
+<record>
+    <result xmlns:dri="http://www.driver-repository.eu/namespace/dri"
+            xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+        <header>
+            <dri:objIdentifier>r37b0ad08687::a8df7db30ae0e4e0b875a098df7b652f</dri:objIdentifier>
+            <dri:dateOfCollection>2021-10-07T01:56:56Z</dri:dateOfCollection>
+            <dri:status>under curation</dri:status>
+            <counters/>
+        </header>
+        <metadata>
+            <oaf:entity xmlns:oaf="http://namespace.openaire.eu/oaf"
+                        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+                        xsi:schemaLocation="http://namespace.openaire.eu/oaf http://namespace.openaire.eu/oaf http://www.openaire.eu/schema/0.2/oaf-0.2.xsd">
+
+                <oaf:result>
+                    <title classid="main title" classname="main title" schemeid="dnet:dataCite_title"
+                           schemename="dnet:dataCite_title">Using CAMS European air quality analysis from Copernicus
+                        Atmosphere Monitoring with RELIANCE services
+                    </title>
+                    <creator rank="1" name="Simone" surname="Mantovani" orcid_pending="0000-0003-3979-3645">Simone Mantovani</creator>
+                    <dateofacceptance>2021-10-07</dateofacceptance>
+                    <resulttype classid="software" classname="software" schemeid="dnet:result_typologies"
+                                schemename="dnet:result_typologies"/>
+                    <language classid="" classname="" schemeid="dnet:languages" schemename="dnet:languages"/>
+                    <description>
+                        This notebook shows how to discover and access the Copernicus Atmosphere Monitoring products available in the RELIANCE datacube resources.
+                        The process is structured in 6 steps, including example of data analysis and visualization with the Python libraries installed in the Jupyter environment
+                    </description>
+                    <country classid="" classname="" schemeid="" schemename=""/>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies">EOSC Jupyter Notebook
+                    </subject>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies">RELIANCE
+                    </subject>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies">Copernicus
+                    </subject>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies">Air quality
+                    </subject>
+
+                    <relevantdate classid="" classname="" schemeid="" schemename=""/>
+                    <publisher>Zenodo</publisher>
+                    <embargoenddate/>
+                    <journal issn="" eissn="" lissn="" ep="" iss="" sp="" vol=""/>
+                    <source/>
+                    <fulltext/>
+                    <format/>
+                    <storagedate/>
+                    <resourcetype classid="" classname="" schemeid="" schemename=""/>
+                    <device/>
+                    <size/>
+                    <version/>
+                    <lastmetadataupdate/>
+                    <metadataversionnumber/>
+                    <documentationUrl/>
+                    <codeRepositoryUrl/>
+                    <programmingLanguage classid="" classname="" schemeid="" schemename=""/>
+                    <contactperson/>
+                    <contactgroup/>
+                    <tool/>
+                    <originalId>oai:zenodo.org:5554786</originalId>
+                    <collectedfrom name="Zenodo" id="re3data_____::7b0ad08687b2c960d5aeef06f811d5e6"/>
+                    <pid classid="oai" classname="Open Archives Initiative" schemeid="dnet:pid_types"
+                         schemename="dnet:pid_types">oai:zenodo.org:5554786
+                    </pid>
+                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types"
+                         schemename="dnet:pid_types">10.5281/zenodo.5554786
+                    </pid>
+                    <bestaccessright classid="OPEN" classname="Open Access" schemeid="dnet:access_modes"
+                                     schemename="dnet:access_modes"/>
+                    <datainfo>
+                        <inferred>false</inferred>
+                        <deletedbyinference>false</deletedbyinference>
+                        <trust>0.9</trust>
+                        <inferenceprovenance/>
+                        <provenanceaction classid="user:insert" classname="user:insert"
+                                          schemeid="dnet:provenanceActions" schemename="dnet:provenanceActions"/>
+                    </datainfo>
+                    <rels>
+                        <rel inferred="false" trust="0.9" inferenceprovenance="" provenanceaction="user:claim">
+                            <to class="isProducedBy" scheme="dnet:result_project_relations" type="project">
+                                corda__h2020::8771f523c34e38902d4921037d545ef8
+                            </to>
+                            <title>REsearch LIfecycle mAnagemeNt for Earth Science Communities and CopErnicus users in EOSC</title>
+                            <code>101017501</code>
+                            <acronym>RELIANCE</acronym>
+                            <funding>
+                                <funder id="ec__________::EC" shortname="EC" name="European Commission" jurisdiction="EU" />
+                                <funding_level_0 name="H2020">ec__________::EC::H2020</funding_level_0>
+                                <funding_level_1 name="RIA">ec__________::EC::H2020::RIA</funding_level_1>
+                            </funding>
+                        </rel>
+                    </rels>
+                    <children>
+                        <instance id="r37b0ad08687::a8df7db30ae0e4e0b875a098df7b652f">
+                            <instancetype classid="0029" classname="Software" schemeid="dnet:publication_resource"
+                                          schemename="dnet:publication_resource"/>
+                            <collectedfrom name="Zenodo" id="re3data_____::7b0ad08687b2c960d5aeef06f811d5e6"/>
+                            <hostedby name="Zenodo" id="re3data_____::7b0ad08687b2c960d5aeef06f811d5e6"/>
+                            <accessright classid="OPEN" classname="Open Access" schemeid="dnet:access_modes"
+                                         schemename="dnet:access_modes"/>
+                            <dateofacceptance/>
+                            <webresource>
+                                <url>https://zenodo.org/record/5554786</url>
+                            </webresource>
+                        </instance>
+                    </children>
+                </oaf:result>
+            </oaf:entity>
+        </metadata>
+    </result>
+</record>

dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/eosc-future/b2share-plot-related-orp.xml

@@ -0,0 +1,288 @@
+<record>
+    <result xmlns:dri="http://www.driver-repository.eu/namespace/dri"
+            xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+        <header>
+            <dri:objIdentifier>doi_dedup___::44fd8a9b5b79adb0783ac245b21e3127</dri:objIdentifier>
+            <dri:dateOfCollection>2019-09-19T07:43:31+0000</dri:dateOfCollection>
+            <dri:dateOfTransformation>2019-09-19T07:43:31+0000</dri:dateOfTransformation>
+        </header>
+        <metadata>
+            <oaf:entity xmlns:oaf="http://namespace.openaire.eu/oaf"
+                        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+                        xsi:schemaLocation="http://namespace.openaire.eu/oaf http://namespace.openaire.eu/oaf http://www.openaire.eu/schema/0.2/oaf-0.2.xsd">
+
+                <oaf:result>
+                    <collectedfrom name="Datacite" id="openaire____::9e3be59865b2c1c335d32dae2fe7b254"/>
+                    <collectedfrom name="B2FIND" id="re3data_____::730f562f9efe8a3b3742d2da510d4335"/>
+                    <originalId>10.23728/b2share.ebcd2972c5fb44199f8b3fdf9f6413c6</originalId>
+                    <originalId>10.23728/b2share.a69a7b2dcc22449e8734552dde4d3906</originalId>
+                    <originalId>6a93c069-a167-44cb-bfe8-74c275637347</originalId>
+                    <originalId>50|r3730f562f9e::9b434fedc00d568b8e00611a7fa19f41</originalId>
+                    <originalId>10.23728/b2share.7c8655b6f25348358b4e6fece7ab6016</originalId>
+                    <originalId>ada23067-496a-494f-bd82-6ffe3cf4f0fb</originalId>
+                    <originalId>50|r3730f562f9e::b9cd774e8126b6902d56f9a4aa03e1dc</originalId>
+                    <originalId>f3bd1041-422c-439d-8e68-c1d0711d130d</originalId>
+                    <originalId>50|r3730f562f9e::b847821a0ca5365b0d971dd89dea6bf1</originalId>
+                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types"
+                         schemename="dnet:pid_types" inferred="false" provenanceaction="sysimport:actionset"
+                         trust="0.9">10.23728/b2share.ebcd2972c5fb44199f8b3fdf9f6413c6
+                    </pid>
+                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types"
+                         schemename="dnet:pid_types" inferred="false" provenanceaction="sysimport:actionset"
+                         trust="0.9">10.23728/b2share.a69a7b2dcc22449e8734552dde4d3906
+                    </pid>
+                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types"
+                         schemename="dnet:pid_types" inferred="false" provenanceaction="sysimport:actionset"
+                         trust="0.9">10.23728/b2share.7c8655b6f25348358b4e6fece7ab6016
+                    </pid>
+                    <title classid="main title" classname="main title" schemeid="dnet:dataCite_title"
+                           schemename="dnet:dataCite_title">HCG16 L-band VLA C+D array final data
+                    </title>
+                    <bestaccessright classid="OPEN" classname="Open Access" schemeid="dnet:access_modes"
+                                     schemename="dnet:access_modes"/>
+                    <creator rank="1" name="Michael G." surname="Jones">Jones, Michael G.</creator>
+                    <dateofacceptance>2019-01-01</dateofacceptance>
+                    <description>These are the reduced final data associated with the paper Jones et al. 2019 submitted
+                        to Astronomy &amp; Astrophysics. They are used by a mybinder (https://gke.mybinder.org/)
+                        executable environment to generate the final plots of that paper. The link for this environment
+                        is https://mybinder.org/v2/gh/AMIGA-IAA/hcg-16/master. The raw VLA D and C array data of HCG 16
+                        were collected by the Very Large Array (http://www.vla.nrao.edu/) in 1989 and 1999, under PI
+                        projects of Barbara Williams. The project numbers are AW234 and AW500 respectively. The file
+                        also includes a grz colour image and r-band image from DECaLS DR8
+                        (http://legacysurvey.org/decamls/), a GBT HI spectrum published in Borthakur et al. 2010 (ApJ
+                        710, 385), an HI data cube from HIPASS (https://www.atnf.csiro.au/research/multibeam/release/),
+                        and a source mask (and associated parameters file) for the HIPASS cube generated using SoFiA
+                        (https://github.com/SoFiA-Admin/SoFiA-2).
+                    </description>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies">3.5.2.1.1 → Observational astronomy →
+                        Radio astronomy
+                    </subject>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies">HI
+                    </subject>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies">VLA
+                    </subject>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies">HCG16
+                    </subject>
+                    <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
+                             schemename="dnet:subject_classification_typologies" inferred="false"
+                             provenanceaction="sysimport:crosswalk:repository" trust="0.9">Various
+                    </subject>
+                    <language classid="und" classname="Undetermined" schemeid="dnet:languages"
+                              schemename="dnet:languages"/>
+                    <relevantdate classid="issued" classname="issued" schemeid="dnet:dataCite_date"
+                                  schemename="dnet:dataCite_date">2019-01-01
+                    </relevantdate>
+                    <publisher>https://b2share.eudat.eu</publisher>
+                    <resulttype classid="other" classname="other" schemeid="dnet:result_typologies"
+                                schemename="dnet:result_typologies"/>
+                    <resourcetype classid="UNKNOWN" classname="Unknown" schemeid="dnet:dataCite_resource"
+                                  schemename="dnet:dataCite_resource"/>
+                    <datainfo>
+                        <inferred>true</inferred>
+                        <deletedbyinference>false</deletedbyinference>
+                        <trust>0.8</trust>
+                        <inferenceprovenance>dedup-similarity-result-decisiontree-v2</inferenceprovenance>
+                        <provenanceaction classid="sysimport:dedup" classname="Inferred by OpenAIRE"
+                                          schemeid="dnet:provenanceActions" schemename="dnet:provenanceActions"/>
+                    </datainfo>
+                    <rels>
+                        <rel inferred="false" trust="0.9" inferenceprovenance="" provenanceaction="user:claim">
+                            <to class="IsRelatedTo" scheme="dnet:result_result_relations" type="software">userclaim___::ee29372a239b79db3ac4c5debe44d6e6</to>
+                            <collectedfrom name="B2FIND" id="re3data_____::730f562f9efe8a3b3742d2da510d4335"/>
+                            <title classid="main title" classname="main title" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">Plot scripts for HCG-16 Project</title>
+                        </rel>
+                    </rels>
+                    <children>
+                        <result objidentifier="r3730f562f9e::9b434fedc00d568b8e00611a7fa19f41">
+                            <dateofacceptance>2019-01-01</dateofacceptance>
+                            <title classid="main title" classname="main title" schemeid="dnet:dataCite_title"
+                                   schemename="dnet:dataCite_title" inferred="false"
+                                   provenanceaction="sysimport:crosswalk:repository" trust="0.9">HCG16 L-band VLA C+D
+                                array final data
+                            </title>
+                            <collectedfrom name="B2FIND" id="re3data_____::730f562f9efe8a3b3742d2da510d4335"/>
+                            <publisher>B2SHARE</publisher>
+                        </result>
+                        <result objidentifier="doi_________::929c1e415f4bb04797679d1af7cb706f">
+                            <dateofacceptance>2019-01-01</dateofacceptance>
+                            <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types"
+                                 schemename="dnet:pid_types" inferred="false" provenanceaction="sysimport:actionset"
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dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/eosc-future/b2share-plot-sw.xml

@@ -0,0 +1,112 @@
+<record>
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+            <dri:dateOfCollection>2021-10-07T12:42:54Z</dri:dateOfCollection>
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+                    <title classid="main title" classname="main title" schemeid="dnet:dataCite_title"
+                           schemename="dnet:dataCite_title">Plot scripts for HCG-16 Project
+                    </title>
+                    <creator rank="1" name="Michael G." surname="Jones">Jones, Michael G.</creator>
+                    <creator rank="2" name="Sebastián" surname="Luna-Valero">Jones, Michael G.</creator>
+                    <dateofacceptance>2021-09-30</dateofacceptance>
+                    <resulttype classid="software" classname="software" schemeid="dnet:result_typologies"
+                                schemename="dnet:result_typologies"/>
+                    <language classid="" classname="" schemeid="dnet:languages" schemename="dnet:languages"/>
+                    <description>These are the notebooks to general the final data plots of the paper Jones et al. 2019
+                        submitted to Astronomy &amp; Astrophysics. They can be used in a notebooks environment (like
+                        https://notebooks.egi.eu/) with the proper libraries installed. A mybinder
+                        (https://mybinder.org/)
+                        ready version can be started from https://mybinder.org/v2/gh/AMIGA-IAA/hcg-16/master. Data to
+                        generate plots is also available from B2SHARE:
+                        https://b2share.eudat.eu/records/a69a7b2dcc22449e8734552dde4d3906
+                    </description>
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+                            <title classid="main title" classname="main title" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">HCG16 L-band VLA C+D array final data</title>
+                            <dateofacceptance>2019-01-01</dateofacceptance>
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dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/eosc-future/data-transfer-pilot.xml

@@ -1,26 +1,25 @@
 <record>
     <result xmlns:dri="http://www.driver-repository.eu/namespace/dri" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
         <header>
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+            <dri:objIdentifier>doi_dedup___::ab57f086011a9ae23d1165211dc6e04b</dri:objIdentifier>
-            <dri:dateOfCollection>2021-09-22T08:53:16Z</dri:dateOfCollection>
+            <dri:dateOfCollection>2020-11-03T05:39:50+0000</dri:dateOfCollection>
-            <dri:status>under curation</dri:status>
+            <dri:dateOfTransformation>2020-11-03T05:39:50+0000</dri:dateOfTransformation>
-            <counters />
         </header>
         <metadata>
             <oaf:entity xmlns:oaf="http://namespace.openaire.eu/oaf"
                         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://namespace.openaire.eu/oaf http://namespace.openaire.eu/oaf http://www.openaire.eu/schema/0.2/oaf-0.2.xsd">
             <oaf:result>
                     <title classid="main title" classname="main title" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">EGI-Foundation/data-transfer-pilot: Include libraries in environment.yml</title>
-                    <creator rank="1" name="" surname="">Giuseppe La Rocca</creator>
+                    <creator rank="1" name="Giuseppe" surname="La Rocca">Giuseppe La Rocca</creator>
-                    <creator rank="2" name="" surname="">Enol Fernández</creator>
+                    <creator rank="2" name="Enol" surname="Fernández">Enol Fernández</creator>
-                    <creator rank="3" name="" surname="">Andrea Manzi</creator>
+                    <creator rank="3" name="Andrea" surname="Manzi">Andrea Manzi</creator>
-                    <dateofacceptance />
+                    <dateofacceptance>2020-11-03</dateofacceptance>
                     <resulttype classid="software" classname="software" schemeid="dnet:result_typologies" schemename="dnet:result_typologies" />
                     <language classid="" classname="" schemeid="dnet:languages" schemename="dnet:languages" />
                     <description>This notebook is used to demonstrate how a scientist from one of the PaNOSC RIs can use the resources provided by EGI to perform analysis on the data sets obtained during an expirement.</description>
                     <country classid="" classname="" schemeid="" schemename="" />
                     <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies" schemename="dnet:subject_classification_typologies">EOSC Jupyter Notebook</subject>
-                    <relevantdate classid="" classname="" schemeid="" schemename="" />
+                    <relevantdate classid="issued" classname="issued" schemeid="dnet:dataCite_date" schemename="dnet:dataCite_date">2020-11-03</relevantdate>
                     <publisher>Zenodo</publisher>
                     <embargoenddate />
                     <journal issn="" eissn="" lissn="" ep="" iss="" sp="" vol="" />
@@ -43,8 +42,8 @@
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-                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types" schemename="dnet:pid_types">10.5281/zenodo.4218562</pid>
+                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types" schemename="dnet:pid_types" inferred="false" provenanceaction="sysimport:actionset" trust="0.9">10.5281/zenodo.4195418</pid>
-                    <bestaccessright classid="OPEN" classname="Open Access" schemeid="dnet:access_modes" schemename="dnet:access_modes" />
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@@ -59,7 +58,7 @@
                             <collectedfrom name="Zenodo" id="re3data_____::7b0ad08687b2c960d5aeef06f811d5e6" />
                             <hostedby name="Zenodo" id="re3data_____::7b0ad08687b2c960d5aeef06f811d5e6" />
                             <accessright classid="OPEN" classname="Open Access" schemeid="dnet:access_modes" schemename="dnet:access_modes" />
-                            <dateofacceptance />
+                            <dateofacceptance>2020-11-03</dateofacceptance>
                             <webresource>
                                 <url>https://zenodo.org/record/4218562</url>
                             </webresource>

dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/eosc-future/training-notebooks-seadatanet.xml

@@ -1,10 +1,8 @@
 <record>
     <result xmlns:dri="http://www.driver-repository.eu/namespace/dri" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
         <header>
-            <dri:objIdentifier>r37b0ad08687::eb430fb7438e1533ba95d6aa50a477eb</dri:objIdentifier>
+            <dri:objIdentifier>doi_dedup___::8539a8de8996e01350f0de8ca4899b7f</dri:objIdentifier>
             <dri:dateOfCollection>2021-09-22T08:53:13Z</dri:dateOfCollection>
-            <dri:status>under curation</dri:status>
-            <counters />
         </header>
         <metadata>
         <oaf:entity xmlns:oaf="http://namespace.openaire.eu/oaf"
@@ -13,10 +11,10 @@
             <oaf:result>
                     <title classid="main title" classname="main title" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">EGI-Foundation/training-notebooks-seadatanet: Version 0.4</title>
                     <creator rank="1" name="" surname="">Enol Fernández</creator>
-                    <dateofacceptance />
+                    <dateofacceptance>2019-12-04</dateofacceptance>
                     <resulttype classid="software" classname="software" schemeid="dnet:result_typologies" schemename="dnet:result_typologies" />
                     <language classid="" classname="" schemeid="dnet:languages" schemename="dnet:languages" />
-                    <description>A sample notebook using SeaDataNet data to plot a map that shows surface temperature of Black Sea, Arctic Sea and Baltic Sea. The data is available at EGI DataHub with PID http://hdl.handle.net/21.T15999/qVk6JWQ (run at EGI Notebooks service for easy access to data).This release updates the PID for the data.</description>
+                    <description>A sample notebook using SeaDataNet data to plot a map that shows surface temperature of Black Sea, Arctic Sea and Baltic Sea. The data is available at EGI DataHub with PID http://hdl.handle.net/21.T15999/3Byz9Cw (run at EGI Notebooks service for easy access to data). This release uses the correct path of the data share from the EGI DataHub.</description>
                     <country classid="" classname="" schemeid="" schemename="" />
                     <subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies" schemename="dnet:subject_classification_typologies">EOSC Jupyter Notebook</subject>
                     <relevantdate classid="" classname="" schemeid="" schemename="" />
@@ -43,6 +41,9 @@
                     <collectedfrom name="Zenodo" id="re3data_____::7b0ad08687b2c960d5aeef06f811d5e6" />
                     <pid classid="oai" classname="Open Archives Initiative" schemeid="dnet:pid_types" schemename="dnet:pid_types">oai:zenodo.org:3561323</pid>
                     <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types" schemename="dnet:pid_types">10.5281/zenodo.3561323</pid>
+                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types" schemename="dnet:pid_types" inferred="false" provenanceaction="sysimport:actionset" trust="0.9">10.5281/zenodo.3443996</pid>
+                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types" schemename="dnet:pid_types" inferred="false" provenanceaction="sysimport:actionset" trust="0.9">10.5281/zenodo.3475539</pid>
+                    <pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types" schemename="dnet:pid_types" inferred="false" provenanceaction="sysimport:actionset" trust="0.9">10.5281/zenodo.3475785</pid>
                     <bestaccessright classid="OPEN" classname="Open Access" schemeid="dnet:access_modes" schemename="dnet:access_modes" />
                     <datainfo>
                         <inferred>false</inferred>

dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/contexts.sh

@@ -11,9 +11,13 @@ TARGET_DB=$2
 
 TMP=/tmp/stats-update-`tr -dc A-Za-z0-9 </dev/urandom | head -c 6`
 
-echo "Downloading context data"
+echo "Downloading context ids"
 curl -L ${CONTEXT_API}/contexts/?type=ri,community -H "accept: application/json" | /usr/local/sbin/jq -r '.[] | "\(.id),\(.label)"' > contexts.csv
+
+echo "Downloading categories data"
 cat contexts.csv | cut -d , -f1 | xargs -I {} curl -L ${CONTEXT_API}/context/{}/?all=true | /usr/local/sbin/jq -r '.[]|"\(.id|split(":")[0]),\(.id),\(.label)"' > categories.csv
+
+echo "Downloading concepts data"
 cat categories.csv | cut -d , -f2 | sed 's/:/%3A/g'| xargs -I {} curl -L ${CONTEXT_API}/context/category/{}/?all=true | /usr/local/sbin/jq -r '.[]|"\(.id|split("::")[0])::\(.id|split("::")[1]),\(.id),\(.label)"' > concepts.csv
 cat contexts.csv | sed 's/^\(.*\),\(.*\)/\1,\1::other,\2/' >> categories.csv
 cat categories.csv | sed 's/^.*,\(.*\),\(.*\)/\1,\1::other,\2/' >> concepts.csv

pom.xml

@@ -753,7 +753,7 @@
 		<mockito-core.version>3.3.3</mockito-core.version>
 		<mongodb.driver.version>3.4.2</mongodb.driver.version>
 		<vtd.version>[2.12,3.0)</vtd.version>
-		<dhp-schemas.version>[2.7.18]</dhp-schemas.version>
+		<dhp-schemas.version>[2.8.20]</dhp-schemas.version>
 		<dnet-actionmanager-api.version>[4.0.3]</dnet-actionmanager-api.version>
 		<dnet-actionmanager-common.version>[6.0.5]</dnet-actionmanager-common.version>
 		<dnet-openaire-broker-common.version>[3.1.6]</dnet-openaire-broker-common.version>