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

@@ -1,9 +1,10 @@
 package eu.dnetlib.dhp.actionmanager.datacite
 
 import org.apache.commons.io.IOUtils
+import org.apache.http.client.config.RequestConfig
 import org.apache.http.client.methods.{HttpGet, HttpPost, HttpRequestBase, HttpUriRequest}
 import org.apache.http.entity.StringEntity
-import org.apache.http.impl.client.HttpClients
+import org.apache.http.impl.client.{HttpClientBuilder, HttpClients}
 
 import java.io.IOException
 
@@ -56,11 +57,15 @@ abstract class AbstractRestClient extends Iterator[String]{
 
 
   private def doHTTPRequest[A <: HttpUriRequest](r: A) :String ={
-    val client = HttpClients.createDefault
+    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()
     var tries = 4
     try {
       while (tries > 0) {
-
         println(s"requesting ${r.getURI}")
         val response = client.execute(r)
         println(s"get response with status${response.getStatusLine.getStatusCode}")
@@ -80,7 +85,5 @@ abstract class AbstractRestClient extends Iterator[String]{
         throw new RuntimeException("Unable to close client ", e)
     }
   }
-
   getBufferData()
-
 }

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

@@ -140,7 +140,7 @@ object ImportDatacite {
 
   private def writeSequenceFile(hdfsTargetPath: Path, timestamp: Long, conf: Configuration, bs:Int): Long = {
     var from:Long = timestamp * 1000
-    val delta:Long = 50000000L
+    val delta:Long = 100000000L
     var client: DataciteAPIImporter = null
     val now :Long =System.currentTimeMillis()
     var i = 0

dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/sx/provision/SparkCreateActionset.scala

@@ -0,0 +1,90 @@
+package eu.dnetlib.dhp.sx.provision
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
+import org.apache.spark.{SparkConf, sql}
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.{Logger, LoggerFactory}
+
+import scala.io.Source
+
+object SparkCreateActionset {
+
+  def main(args: Array[String]): Unit = {
+    val log: Logger = LoggerFactory.getLogger(getClass)
+    val conf: SparkConf = new SparkConf()
+    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/generate_actionset.json")).mkString)
+    parser.parseArgument(args)
+
+
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+
+    val sourcePath = parser.get("sourcePath")
+    log.info(s"sourcePath  -> $sourcePath")
+
+    val targetPath = parser.get("targetPath")
+    log.info(s"targetPath  -> $targetPath")
+
+    val workingDirFolder = parser.get("workingDirFolder")
+    log.info(s"workingDirFolder  -> $workingDirFolder")
+
+    implicit val oafEncoders:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val resultEncoders:Encoder[Result] = Encoders.kryo[Result]
+    implicit val relationEncoders:Encoder[Relation] = Encoders.kryo[Relation]
+
+    import  spark.implicits._
+
+    val relation = spark.read.load(s"$sourcePath/relation").as[Relation]
+
+    relation.filter(r => (r.getDataInfo== null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
+      .flatMap(r => List(r.getSource,r.getTarget)).distinct().write.save(s"$workingDirFolder/id_relation")
+
+
+    val idRelation = spark.read.load(s"$workingDirFolder/id_relation").as[String]
+
+    log.info("extract source and target Identifier involved in relations")
+
+
+    log.info("save relation filtered")
+
+    relation.filter(r => (r.getDataInfo== null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
+      .write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/actionSetOaf")
+
+    log.info("saving publication")
+
+    val publication:Dataset[(String, Result)] = spark.read.load(s"$sourcePath/publication").as[Result].map(p => (p.getId, p))
+
+    publication
+      .joinWith(idRelation, publication("_1").equalTo(idRelation("value")))
+      .map(p => p._1._2)
+      .write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
+
+    log.info("saving dataset")
+    val dataset:Dataset[(String, Result)] = spark.read.load(s"$sourcePath/dataset").as[Result].map(p => (p.getId, p))
+    dataset
+      .joinWith(idRelation, publication("_1").equalTo(idRelation("value")))
+      .map(p => p._1._2)
+      .write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
+
+    log.info("saving software")
+    val software:Dataset[(String, Result)] = spark.read.load(s"$sourcePath/software").as[Result].map(p => (p.getId, p))
+    software
+      .joinWith(idRelation, publication("_1").equalTo(idRelation("value")))
+      .map(p => p._1._2)
+      .write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
+
+    log.info("saving Other Research product")
+    val orp:Dataset[(String, Result)] = spark.read.load(s"$sourcePath/otherresearchproduct").as[Result].map(p => (p.getId, p))
+    orp
+      .joinWith(idRelation, publication("_1").equalTo(idRelation("value")))
+      .map(p => p._1._2)
+      .write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
+  }
+
+}

dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/sx/provision/SparkSaveActionSet.scala

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

dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/sx/actionset/generate_actionset.json

@@ -0,0 +1,6 @@
+[
+  {"paramName":"mt",  "paramLongName":"master",     "paramDescription": "should be local or yarn",      "paramRequired": true},
+  {"paramName":"s",   "paramLongName":"sourcePath","paramDescription": "source path",                   "paramRequired": true},
+  {"paramName":"w",   "paramLongName":"workingDirFolder","paramDescription": "the working Dir Folder",  "paramRequired": true},
+  {"paramName":"t",   "paramLongName":"targetPath","paramDescription": "the target path ",              "paramRequired": true}
+]

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

@@ -0,0 +1,23 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+
+    <property>
+        <name>oozie.launcher.mapreduce.user.classpath.first</name>
+        <value>true</value>
+    </property>
+</configuration>

dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/sx/actionset/oozie_app/workflow.xml

@@ -0,0 +1,76 @@
+<workflow-app name="Scholexplorer_to_ActionSet_Workflow" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>sourcePath</name>
+            <description>the path of the consistent graph</description>
+        </property>
+        <property>
+            <name>workingDirFolder</name>
+            <description>the path of working dir ActionSet</description>
+        </property>
+        <property>
+            <name>outputPath</name>
+            <description>the path of Scholexplorer ActionSet</description>
+        </property>
+    </parameters>
+
+    <start to="ExportDataset"/>
+
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+    <action name="createActionSet">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Create Action Set</name>
+            <class>eu.dnetlib.dhp.sx.provision.SparkCreateActionset</class>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=3840
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${sourcePath}</arg>
+            <arg>--targetPath</arg><arg>${outputPath}</arg>
+            <arg>--workingDirFolder</arg><arg>${workingDirFolder}</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+
+    <action name="SaveActionSet">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Save Action Set</name>
+            <class>eu.dnetlib.dhp.sx.provision.SparkSaveActionSet</class>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=3840
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${workingDirFolder}/actionSetOaf</arg>
+            <arg>--targetPath</arg><arg>${outputPath}</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+    <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/sx/actionset/save_actionset.json

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