code refactor renamed datacite package

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

@@ -1,41 +0,0 @@
-package eu.dnetlib.dhp.actionmanager.datacite
-
-import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.schema.oaf.Oaf
-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.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
-import org.slf4j.{Logger, LoggerFactory}
-
-import scala.io.Source
-
-object ExportActionSetJobNode {
-
-  val log: Logger = LoggerFactory.getLogger(ExportActionSetJobNode.getClass)
-
-  def main(args: Array[String]): Unit = {
-    val conf = new SparkConf
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/exportDataset_parameters.json")).mkString)
-    parser.parseArgument(args)
-    val master = parser.get("master")
-    val sourcePath = parser.get("sourcePath")
-    val targetPath = parser.get("targetPath")
-
-    val spark: SparkSession = SparkSession.builder().config(conf)
-      .appName(ExportActionSetJobNode.getClass.getSimpleName)
-      .master(master)
-      .getOrCreate()
-    implicit val resEncoder: 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 =>DataciteToOAFTransformation.toActionSet(o))
-      .filter(o => o!= null)
-      .rdd.map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$targetPath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text,Text]], classOf[GzipCodec])
-
-
-  }
-
-}

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

@@ -1,46 +0,0 @@
-package eu.dnetlib.dhp.actionmanager.datacite
-
-import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
-import eu.dnetlib.dhp.schema.mdstore.MetadataRecord
-import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
-import eu.dnetlib.dhp.utils.ISLookupClientFactory
-import org.apache.spark.SparkConf
-import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
-import org.slf4j.{Logger, LoggerFactory}
-
-import scala.io.Source
-
-object FilterCrossrefEntitiesSpark {
-
-  val log: Logger = LoggerFactory.getLogger(getClass.getClass)
-
-  def main(args: Array[String]): Unit = {
-    val conf = new SparkConf
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/filter_crossref_param.json")).mkString)
-    parser.parseArgument(args)
-    val master = parser.get("master")
-    val sourcePath = parser.get("sourcePath")
-    log.info("sourcePath: {}", sourcePath)
-    val targetPath = parser.get("targetPath")
-    log.info("targetPath: {}", targetPath)
-
-
-
-    val spark: SparkSession = SparkSession.builder().config(conf)
-      .appName(getClass.getSimpleName)
-      .master(master)
-      .getOrCreate()
-
-
-
-    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
-    implicit val resEncoder: Encoder[Result] = Encoders.kryo[Result]
-
-    val d:Dataset[Oaf]= spark.read.load(sourcePath).as[Oaf]
-
-    d.filter(r => r.isInstanceOf[Result]).map(r => r.asInstanceOf[Result]).write.mode(SaveMode.Overwrite).save(targetPath)
-
-  }
-
-}

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

@@ -1,12 +1,10 @@
-package eu.dnetlib.dhp.actionmanager.datacite
+package eu.dnetlib.dhp.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.client.methods.{HttpGet, HttpPost, HttpUriRequest}
 import org.apache.http.entity.StringEntity
-import org.apache.http.impl.client.{HttpClientBuilder, HttpClients}
-
-import java.io.IOException
+import org.apache.http.impl.client.HttpClientBuilder
 
 
 abstract class AbstractRestClient extends Iterator[String] {

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

@@ -1,7 +1,7 @@
-package eu.dnetlib.dhp.actionmanager.datacite
+package eu.dnetlib.dhp.datacite
 
-import org.json4s.{DefaultFormats, JValue}
 import org.json4s.jackson.JsonMethods.{compact, parse, render}
+import org.json4s.{DefaultFormats, JValue}
 
 class DataciteAPIImporter(timestamp: Long = 0, blocks: Long = 10, until:Long = -1) extends AbstractRestClient {
 

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

@@ -1,4 +1,4 @@
-package eu.dnetlib.dhp.actionmanager.datacite
+package eu.dnetlib.dhp.datacite
 
 import com.fasterxml.jackson.databind.ObjectMapper
 import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup

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

@@ -1,10 +1,11 @@
-package eu.dnetlib.dhp.actionmanager.datacite
+package eu.dnetlib.dhp.datacite
 
 import com.fasterxml.jackson.databind.ObjectMapper
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
-import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
 import eu.dnetlib.dhp.collection.CollectionUtils.fixRelations
+import eu.dnetlib.dhp.common.Constants.MDSTORE_DATA_PATH
+import eu.dnetlib.dhp.common.Constants.MDSTORE_SIZE_PATH
+import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
 import eu.dnetlib.dhp.schema.mdstore.{MDStoreVersion, MetadataRecord}
 import eu.dnetlib.dhp.schema.oaf.Oaf
 import eu.dnetlib.dhp.utils.DHPUtils.writeHdfsFile
@@ -21,7 +22,7 @@ object GenerateDataciteDatasetSpark {
 
   def main(args: Array[String]): Unit = {
     val conf = new SparkConf
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/generate_dataset_params.json")).mkString)
+    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/datacite/generate_dataset_params.json")).mkString)
     parser.parseArgument(args)
     val master = parser.get("master")
     val sourcePath = parser.get("sourcePath")
@@ -36,12 +37,12 @@ object GenerateDataciteDatasetSpark {
       .master(master)
       .getOrCreate()
 
+    import spark.implicits._
+
     implicit val mrEncoder: Encoder[MetadataRecord] = Encoders.kryo[MetadataRecord]
 
     implicit val resEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
 
-    import spark.implicits._
-
     val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
     val mapper = new ObjectMapper()
     val cleanedMdStoreVersion = mapper.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
@@ -54,10 +55,10 @@ object GenerateDataciteDatasetSpark {
       .filter(d => d.isActive)
       .flatMap(d => DataciteToOAFTransformation.generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks))
       .filter(d => d != null)
-      .flatMap(i=> fixRelations(i)).filter(i => i != null)
+      .flatMap(i => fixRelations(i)).filter(i => i != null)
       .write.mode(SaveMode.Overwrite).save(targetPath)
 
-    val total_items =spark.read.load(targetPath).as[Oaf].count()
+    val total_items = spark.read.load(targetPath).as[Oaf].count()
     writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$total_items", outputBasePath + MDSTORE_SIZE_PATH)
   }
 }

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

@@ -1,6 +1,5 @@
-package eu.dnetlib.dhp.actionmanager.datacite
+package eu.dnetlib.dhp.datacite
 
-import eu.dnetlib.dhp.actionmanager.datacite.DataciteToOAFTransformation.df_it
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.{FileSystem, LocalFileSystem, Path}
@@ -9,14 +8,14 @@ import org.apache.hadoop.io.{IntWritable, SequenceFile, Text}
 import org.apache.spark.SparkContext
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.expressions.Aggregator
+import org.apache.spark.sql.functions.max
 import org.apache.spark.sql.{Dataset, Encoder, SaveMode, SparkSession}
 import org.json4s.DefaultFormats
 import org.json4s.jackson.JsonMethods.parse
-import org.apache.spark.sql.functions.max
 import org.slf4j.{Logger, LoggerFactory}
 
-import java.time.format.DateTimeFormatter._
-import java.time.{LocalDate, LocalDateTime, ZoneOffset}
+import java.time.format.DateTimeFormatter.ISO_DATE_TIME
+import java.time.{LocalDateTime, ZoneOffset}
 import scala.io.Source
 
 object ImportDatacite {
@@ -138,11 +137,11 @@ object ImportDatacite {
     }
   }
 
-  private def writeSequenceFile(hdfsTargetPath: Path, timestamp: Long, conf: Configuration, bs:Int): Long = {
-    var from:Long = timestamp * 1000
-    val delta:Long = 100000000L
+  private def writeSequenceFile(hdfsTargetPath: Path, timestamp: Long, conf: Configuration, bs: Int): Long = {
+    var from: Long = timestamp * 1000
+    val delta: Long = 100000000L
     var client: DataciteAPIImporter = null
-    val now :Long =System.currentTimeMillis()
+    val now: Long = System.currentTimeMillis()
     var i = 0
     try {
       val writer = SequenceFile.createWriter(conf, SequenceFile.Writer.file(hdfsTargetPath), SequenceFile.Writer.keyClass(classOf[IntWritable]), SequenceFile.Writer.valueClass(classOf[Text]))
@@ -168,7 +167,7 @@ object ImportDatacite {
               start = System.currentTimeMillis
             }
           }
-          println(s"updating from value: $from  -> ${from+delta}")
+          println(s"updating from value: $from  -> ${from + delta}")
           from = from + delta
         }
       } catch {

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

@@ -1,18 +1,14 @@
-package eu.dnetlib.dhp.actionmanager.datacite
-
+package eu.dnetlib.dhp.datacite
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
 import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
-import org.apache.hadoop.conf.Configuration
-import org.apache.hadoop.fs.LocalFileSystem
-import org.apache.hadoop.hdfs.DistributedFileSystem
 import org.apache.spark.SparkConf
-import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
 import org.apache.spark.sql.functions.max
+import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
 import org.slf4j.{Logger, LoggerFactory}
 
 import java.text.SimpleDateFormat
-import java.util.{Date, Locale}
+import java.util.Locale
 import scala.io.Source
 
 object SparkDownloadUpdateDatacite {
@@ -21,7 +17,7 @@ object SparkDownloadUpdateDatacite {
   def main(args: Array[String]): Unit = {
 
     val conf = new SparkConf
-    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/generate_dataset_params.json")).mkString)
+    val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/datacite/generate_dataset_params.json")).mkString)
     parser.parseArgument(args)
     val master = parser.get("master")
     val sourcePath = parser.get("sourcePath")
@@ -42,9 +38,9 @@ object SparkDownloadUpdateDatacite {
     import spark.implicits._
 
 
-    val maxDate:String = spark.read.load(workingPath).as[Oaf].filter(s => s.isInstanceOf[Result]).map(r => r.asInstanceOf[Result].getDateofcollection).select(max("value")).first().getString(0)
+    val maxDate: String = spark.read.load(workingPath).as[Oaf].filter(s => s.isInstanceOf[Result]).map(r => r.asInstanceOf[Result].getDateofcollection).select(max("value")).first().getString(0)
     val ISO8601FORMAT = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssZ", Locale.US)
-    val string_to_date =ISO8601FORMAT.parse(maxDate)
+    val string_to_date = ISO8601FORMAT.parse(maxDate)
     val ts = string_to_date.getTime
 
 

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

@@ -28,7 +28,7 @@
             <master>yarn-cluster</master>
             <mode>cluster</mode>
             <name>ImportDatacite</name>
-            <class>eu.dnetlib.dhp.actionmanager.datacite.ImportDatacite</class>
+            <class>eu.dnetlib.dhp.datacite.ImportDatacite</class>
             <jar>dhp-aggregation-${projectVersion}.jar</jar>
             <spark-opts>
                 --executor-memory=${sparkExecutorMemory}

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

@@ -47,7 +47,7 @@
             <master>yarn-cluster</master>
             <mode>cluster</mode>
             <name>TransformJob</name>
-            <class>eu.dnetlib.dhp.actionmanager.datacite.GenerateDataciteDatasetSpark</class>
+            <class>eu.dnetlib.dhp.datacite.GenerateDataciteDatasetSpark</class>
             <jar>dhp-aggregation-${projectVersion}.jar</jar>
             <spark-opts>
                 --executor-memory=${sparkExecutorMemory}

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

@@ -1,8 +1,7 @@
-package eu.dnetlib.dhp.actionmanager.datacite
+package eu.dnetlib.dhp.datacite
 
 
-import com.fasterxml.jackson.databind.ObjectMapper
-import com.fasterxml.jackson.databind.SerializationFeature
+import com.fasterxml.jackson.databind.{ObjectMapper, SerializationFeature}
 import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
 import eu.dnetlib.dhp.schema.oaf.Oaf
 import org.junit.jupiter.api.extension.ExtendWith