forked from D-Net/dnet-hadoop
resolved conflicts
This commit is contained in:
commit
b113586207
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@ -107,7 +107,7 @@ class OafMapperUtilsTest {
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assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("2006-01-02T15:04:05+0000").get());
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assertEquals("2009-08-13", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09-07:00").get());
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assertEquals("2009-08-12", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09").get());
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assertEquals("2009-08-12", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09Z").get());
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assertEquals("2009-08-13", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09Z").get());
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assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 17:24:37.3186369").get());
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assertEquals("2012-08-03", GraphCleaningFunctions.doCleanDate("2012-08-03 18:31:59.257000000").get());
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assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 17:24:37.123").get());
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@ -1,69 +0,0 @@
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package eu.dnetlib.dhp.actionmanager.scholix
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
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import org.apache.spark.SparkConf
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import org.apache.spark.sql._
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import org.slf4j.{Logger, LoggerFactory}
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import scala.io.Source
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object SparkCreateActionset {
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def main(args: Array[String]): Unit = {
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val log: Logger = LoggerFactory.getLogger(getClass)
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val conf: SparkConf = new SparkConf()
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val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/generate_actionset.json")).mkString)
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parser.parseArgument(args)
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val spark: SparkSession =
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SparkSession
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.builder()
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.config(conf)
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.appName(getClass.getSimpleName)
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.master(parser.get("master")).getOrCreate()
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val sourcePath = parser.get("sourcePath")
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log.info(s"sourcePath -> $sourcePath")
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val targetPath = parser.get("targetPath")
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log.info(s"targetPath -> $targetPath")
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val workingDirFolder = parser.get("workingDirFolder")
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log.info(s"workingDirFolder -> $workingDirFolder")
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implicit val oafEncoders: Encoder[Oaf] = Encoders.kryo[Oaf]
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implicit val resultEncoders: Encoder[Result] = Encoders.kryo[Result]
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implicit val relationEncoders: Encoder[Relation] = Encoders.kryo[Relation]
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import spark.implicits._
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val relation = spark.read.load(s"$sourcePath/relation").as[Relation]
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relation.filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
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.flatMap(r => List(r.getSource, r.getTarget)).distinct().write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/id_relation")
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val idRelation = spark.read.load(s"$workingDirFolder/id_relation").as[String]
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log.info("extract source and target Identifier involved in relations")
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log.info("save relation filtered")
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relation.filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
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.write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/actionSetOaf")
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log.info("saving entities")
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val entities: Dataset[(String, Result)] = spark.read.load(s"$sourcePath/entities/*").as[Result].map(p => (p.getId, p))(Encoders.tuple(Encoders.STRING, resultEncoders))
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entities
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.joinWith(idRelation, entities("_1").equalTo(idRelation("value")))
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.map(p => p._1._2)
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.write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
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}
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}
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@ -1,86 +0,0 @@
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package eu.dnetlib.dhp.actionmanager.scholix
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import com.fasterxml.jackson.databind.ObjectMapper
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.schema.action.AtomicAction
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import eu.dnetlib.dhp.schema.oaf.{Oaf, Dataset => OafDataset,Publication, Software, OtherResearchProduct, Relation}
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import org.apache.hadoop.io.Text
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import org.apache.hadoop.io.compress.GzipCodec
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import org.apache.hadoop.mapred.SequenceFileOutputFormat
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
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import org.slf4j.{Logger, LoggerFactory}
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import scala.io.Source
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object SparkSaveActionSet {
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def toActionSet(item: Oaf): (String, String) = {
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val mapper = new ObjectMapper()
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item match {
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case dataset: OafDataset =>
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val a: AtomicAction[OafDataset] = new AtomicAction[OafDataset]
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a.setClazz(classOf[OafDataset])
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a.setPayload(dataset)
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(dataset.getClass.getCanonicalName, mapper.writeValueAsString(a))
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case publication: Publication =>
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val a: AtomicAction[Publication] = new AtomicAction[Publication]
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a.setClazz(classOf[Publication])
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a.setPayload(publication)
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(publication.getClass.getCanonicalName, mapper.writeValueAsString(a))
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case software: Software =>
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val a: AtomicAction[Software] = new AtomicAction[Software]
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a.setClazz(classOf[Software])
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a.setPayload(software)
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(software.getClass.getCanonicalName, mapper.writeValueAsString(a))
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case orp: OtherResearchProduct =>
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val a: AtomicAction[OtherResearchProduct] = new AtomicAction[OtherResearchProduct]
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a.setClazz(classOf[OtherResearchProduct])
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a.setPayload(orp)
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(orp.getClass.getCanonicalName, mapper.writeValueAsString(a))
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case relation: Relation =>
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val a: AtomicAction[Relation] = new AtomicAction[Relation]
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a.setClazz(classOf[Relation])
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a.setPayload(relation)
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(relation.getClass.getCanonicalName, mapper.writeValueAsString(a))
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case _ =>
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null
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}
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}
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def main(args: Array[String]): Unit = {
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val log: Logger = LoggerFactory.getLogger(getClass)
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val conf: SparkConf = new SparkConf()
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val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/save_actionset.json")).mkString)
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parser.parseArgument(args)
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val spark: SparkSession =
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SparkSession
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.builder()
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.config(conf)
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.appName(getClass.getSimpleName)
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.master(parser.get("master")).getOrCreate()
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val sourcePath = parser.get("sourcePath")
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log.info(s"sourcePath -> $sourcePath")
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val targetPath = parser.get("targetPath")
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log.info(s"targetPath -> $targetPath")
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implicit val oafEncoders: Encoder[Oaf] = Encoders.kryo[Oaf]
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implicit val tEncoder: Encoder[(String, String)] = Encoders.tuple(Encoders.STRING, Encoders.STRING)
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spark.read.load(sourcePath).as[Oaf]
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.map(o => toActionSet(o))
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.filter(o => o != null)
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.rdd.map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$targetPath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text, Text]], classOf[GzipCodec])
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}
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}
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@ -1,8 +1,8 @@
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package eu.dnetlib.dhp.datacite
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import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf.{DataInfo, KeyValue}
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
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import eu.dnetlib.dhp.schema.oaf.{DataInfo, KeyValue}
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import java.io.InputStream
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import java.time.format.DateTimeFormatter
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@ -6,7 +6,7 @@ import eu.dnetlib.dhp.datacite.DataciteModelConstants._
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import eu.dnetlib.dhp.schema.action.AtomicAction
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import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf.utils.{IdentifierFactory, OafMapperUtils}
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import eu.dnetlib.dhp.schema.oaf.{AccessRight, Author, DataInfo, Instance, KeyValue, Oaf, OtherResearchProduct, Publication, Qualifier, Relation, Result, Software, StructuredProperty, Dataset => OafDataset}
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import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset, _}
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import eu.dnetlib.dhp.utils.DHPUtils
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import org.apache.commons.lang3.StringUtils
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import org.json4s.DefaultFormats
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@ -29,6 +29,7 @@ object DataciteToOAFTransformation {
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/**
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* This method should skip record if json contains invalid text
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* defined in gile datacite_filter
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*
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* @param json
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* @return True if the record should be skipped
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*/
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@ -7,6 +7,7 @@ import org.json4s.DefaultFormats
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import org.json4s.JsonAST.{JField, JObject, JString}
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import org.json4s.jackson.JsonMethods.{compact, parse, render}
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import collection.JavaConverters._
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object BioDBToOAF {
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case class EBILinkItem(id: Long, links: String) {}
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@ -1,9 +1,9 @@
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package eu.dnetlib.dhp.sx.bio
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.schema.oaf.Oaf
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import BioDBToOAF.ScholixResolved
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import eu.dnetlib.dhp.collection.CollectionUtils
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import eu.dnetlib.dhp.schema.oaf.Oaf
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import eu.dnetlib.dhp.sx.bio.BioDBToOAF.ScholixResolved
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import org.apache.commons.io.IOUtils
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
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@ -3,7 +3,7 @@ package eu.dnetlib.dhp.sx.bio.ebi
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
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import eu.dnetlib.dhp.schema.oaf.Result
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import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal, PMParser, PubMedToOaf}
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import eu.dnetlib.dhp.sx.bio.pubmed._
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import eu.dnetlib.dhp.utils.ISLookupClientFactory
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import org.apache.commons.io.IOUtils
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import org.apache.hadoop.conf.Configuration
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@ -1,9 +1,8 @@
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package eu.dnetlib.dhp.sx.bio.ebi
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
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import eu.dnetlib.dhp.sx.bio.BioDBToOAF.EBILinkItem
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import eu.dnetlib.dhp.sx.bio.pubmed.PMJournal
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import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
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import org.apache.commons.io.IOUtils
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import org.apache.http.client.config.RequestConfig
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import org.apache.http.client.methods.HttpGet
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@ -1,11 +1,10 @@
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package eu.dnetlib.dhp.sx.bio.ebi
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.collection.CollectionUtils
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import eu.dnetlib.dhp.schema.oaf.Oaf
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import eu.dnetlib.dhp.sx.bio.BioDBToOAF
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import eu.dnetlib.dhp.sx.bio.BioDBToOAF.EBILinkItem
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import BioDBToOAF.EBILinkItem
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import eu.dnetlib.dhp.collection.CollectionUtils
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import org.apache.commons.io.IOUtils
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import org.apache.spark.SparkConf
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import org.apache.spark.sql._
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@ -4,7 +4,7 @@ import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
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import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType}
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import eu.dnetlib.dhp.schema.oaf._
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import scala.collection.JavaConverters._
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import collection.JavaConverters._
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import java.util.regex.Pattern
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|
@ -22,10 +22,10 @@ object PubMedToOaf {
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val collectedFrom: KeyValue = OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
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/**
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* Cleaning the DOI Applying regex in order to
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* remove doi starting with URL
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*
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* @param doi input DOI
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* @return cleaned DOI
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*/
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|
@ -93,7 +93,6 @@ object PubMedToOaf {
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* @param vocabularyName the input vocabulary name
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* @param vocabularies all the vocabularies
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* @param term the term to find
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*
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* @return the cleaned term value
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*/
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def getVocabularyTerm(vocabularyName: String, vocabularies: VocabularyGroup, term: String): Qualifier = {
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|
@ -106,7 +105,6 @@ object PubMedToOaf {
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/**
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* Map the Pubmed Article into the OAF instance
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*
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*
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* @param article the pubmed articles
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* @param vocabularies the vocabularies
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* @return The OAF instance if the mapping did not fail
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|
@ -185,7 +183,6 @@ object PubMedToOaf {
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//--------------------------------------------------------------------------------------
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// RESULT MAPPING
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//--------------------------------------------------------------------------------------
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result.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(article.getDate), dataInfo))
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@ -89,13 +89,13 @@ public class CreateOpenCitationsASTest {
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"-inputPath",
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inputPath,
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"-outputPath",
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workingDir.toString() + "/actionSet"
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workingDir.toString() + "/actionSet1"
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});
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<Relation> tmp = sc
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.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
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.sequenceFile(workingDir.toString() + "/actionSet1", Text.class, Text.class)
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.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
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.map(aa -> ((Relation) aa.getPayload()));
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|
@ -121,13 +121,13 @@ public class CreateOpenCitationsASTest {
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"-inputPath",
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inputPath,
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"-outputPath",
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workingDir.toString() + "/actionSet"
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workingDir.toString() + "/actionSet2"
|
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});
|
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
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JavaRDD<Relation> tmp = sc
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.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
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.sequenceFile(workingDir.toString() + "/actionSet2", Text.class, Text.class)
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.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
|
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.map(aa -> ((Relation) aa.getPayload()));
|
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|
@ -153,13 +153,13 @@ public class CreateOpenCitationsASTest {
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"-inputPath",
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inputPath,
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"-outputPath",
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workingDir.toString() + "/actionSet"
|
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workingDir.toString() + "/actionSet3"
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});
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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|
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JavaRDD<Relation> tmp = sc
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.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
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.sequenceFile(workingDir.toString() + "/actionSet3", Text.class, Text.class)
|
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.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
|
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.map(aa -> ((Relation) aa.getPayload()));
|
||||
|
||||
|
@ -186,13 +186,13 @@ public class CreateOpenCitationsASTest {
|
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"-inputPath",
|
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inputPath,
|
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"-outputPath",
|
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workingDir.toString() + "/actionSet"
|
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workingDir.toString() + "/actionSet4"
|
||||
});
|
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|
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
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|
||||
JavaRDD<Relation> tmp = sc
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.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
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.sequenceFile(workingDir.toString() + "/actionSet4", Text.class, Text.class)
|
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.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
|
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.map(aa -> ((Relation) aa.getPayload()));
|
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|
||||
|
@ -226,13 +226,13 @@ public class CreateOpenCitationsASTest {
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"-inputPath",
|
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inputPath,
|
||||
"-outputPath",
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workingDir.toString() + "/actionSet"
|
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workingDir.toString() + "/actionSet5"
|
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});
|
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|
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
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|
||||
JavaRDD<Relation> tmp = sc
|
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.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
|
||||
.sequenceFile(workingDir.toString() + "/actionSet5", Text.class, Text.class)
|
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.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
|
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.map(aa -> ((Relation) aa.getPayload()));
|
||||
|
||||
|
@ -261,13 +261,13 @@ public class CreateOpenCitationsASTest {
|
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"-inputPath",
|
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inputPath,
|
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"-outputPath",
|
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workingDir.toString() + "/actionSet"
|
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workingDir.toString() + "/actionSet6"
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
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|
||||
JavaRDD<Relation> tmp = sc
|
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.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
|
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.sequenceFile(workingDir.toString() + "/actionSet6", Text.class, Text.class)
|
||||
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
|
||||
.map(aa -> ((Relation) aa.getPayload()));
|
||||
|
||||
|
@ -306,13 +306,13 @@ public class CreateOpenCitationsASTest {
|
|||
"-inputPath",
|
||||
inputPath,
|
||||
"-outputPath",
|
||||
workingDir.toString() + "/actionSet"
|
||||
workingDir.toString() + "/actionSet7"
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Relation> tmp = sc
|
||||
.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
|
||||
.sequenceFile(workingDir.toString() + "/actionSet7", Text.class, Text.class)
|
||||
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
|
||||
.map(aa -> ((Relation) aa.getPayload()));
|
||||
|
||||
|
|
|
@ -8,6 +8,7 @@ import org.apache.commons.io.FileUtils
|
|||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.functions.{col, count}
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.extension.ExtendWith
|
||||
import org.junit.jupiter.api.{AfterEach, BeforeEach, Test}
|
||||
import org.mockito.junit.jupiter.MockitoExtension
|
||||
|
@ -17,7 +18,6 @@ import java.nio.file.{Files, Path}
|
|||
import java.text.SimpleDateFormat
|
||||
import java.util.Locale
|
||||
import scala.io.Source
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
|
||||
@ExtendWith(Array(classOf[MockitoExtension]))
|
||||
class DataciteToOAFTest extends AbstractVocabularyTest{
|
|
@ -90,7 +90,7 @@ public class ReadBlacklistFromDB implements Closeable {
|
|||
inverse.setSource(target_direct);
|
||||
|
||||
String encoding = rs.getString("relationship");
|
||||
RelationInverse ri = ModelSupport.relationInverseMap.get(encoding);
|
||||
RelationInverse ri = ModelSupport.findInverse(encoding);
|
||||
direct.setRelClass(ri.getRelClass());
|
||||
inverse.setRelClass(ri.getInverseRelClass());
|
||||
direct.setRelType(ri.getRelType());
|
||||
|
|
|
@ -1,21 +1,19 @@
|
|||
package eu.dnetlib.doiboost
|
||||
|
||||
import java.time.LocalDate
|
||||
import java.time.format.DateTimeFormatter
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.action.AtomicAction
|
||||
import eu.dnetlib.dhp.schema.oaf.{AccessRight, DataInfo, Dataset, Field, Instance, KeyValue, Oaf, OpenAccessRoute, Organization, Publication, Qualifier, Relation, Result, StructuredProperty}
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf._
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
|
||||
import eu.dnetlib.dhp.utils.DHPUtils
|
||||
import org.apache.commons.lang3.StringUtils
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil.{getClosedAccessQualifier, getEmbargoedAccessQualifier, getUnknownQualifier}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import java.time.LocalDate
|
||||
import java.time.format.DateTimeFormatter
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
|
|
@ -8,11 +8,12 @@ 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.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
object SparkGenerateDOIBoostActionSet {
|
||||
val logger: Logger = LoggerFactory.getLogger(getClass)
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
|
||||
val conf: SparkConf = new SparkConf()
|
||||
|
@ -55,7 +56,6 @@ object SparkGenerateDOIBoostActionSet {
|
|||
.map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
|
||||
|
||||
|
||||
|
||||
val asCRelation = spark.read.load(crossRefRelation).as[Relation]
|
||||
.filter(r => r != null && r.getSource != null && r.getTarget != null)
|
||||
.map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
|
||||
|
@ -65,23 +65,12 @@ object SparkGenerateDOIBoostActionSet {
|
|||
.map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
val d: Dataset[(String, String)] = asDataset.union(asPublication).union(asOrganization).union(asCRelation).union(asRelAffiliation)
|
||||
|
||||
|
||||
|
||||
d.rdd.repartition(6000).map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$sequenceFilePath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text, Text]], classOf[GzipCodec])
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
|
@ -9,14 +9,12 @@ import org.apache.commons.io.IOUtils
|
|||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.expressions.Aggregator
|
||||
import org.apache.spark.sql.functions.col
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import org.apache.spark.sql._
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST.{JField, JObject, JString,JArray}
|
||||
import org.json4s.JsonAST.{JField, JObject, JString}
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
import scala.collection.JavaConverters._
|
||||
object SparkGenerateDoiBoost {
|
||||
|
||||
|
||||
|
@ -38,7 +36,6 @@ object SparkGenerateDoiBoost {
|
|||
}
|
||||
|
||||
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
|
||||
val logger: Logger = LoggerFactory.getLogger(getClass)
|
||||
|
@ -118,8 +115,7 @@ object SparkGenerateDoiBoost {
|
|||
val crossrefPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/crossrefPublication").as[Publication].map(p => (p.getId, p))
|
||||
val uwPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/uwPublication").as[Publication].map(p => (p.getId, p))
|
||||
|
||||
def applyMerge(item:((String, Publication), (String, Publication))) : Publication =
|
||||
{
|
||||
def applyMerge(item: ((String, Publication), (String, Publication))): Publication = {
|
||||
val crossrefPub = item._1._2
|
||||
if (item._2 != null) {
|
||||
val otherPub = item._2._2
|
||||
|
@ -130,6 +126,7 @@ object SparkGenerateDoiBoost {
|
|||
}
|
||||
crossrefPub
|
||||
}
|
||||
|
||||
crossrefPublication.joinWith(uwPublication, crossrefPublication("_1").equalTo(uwPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/firstJoin")
|
||||
logger.info("Phase 3) Join Result with ORCID")
|
||||
val fj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/firstJoin").as[Publication].map(p => (p.getId, p))
|
||||
|
@ -169,7 +166,6 @@ object SparkGenerateDoiBoost {
|
|||
.select(col("_1.PaperId"), col("_2.AffiliationId"), col("_2.GridId"), col("_2.OfficialPage"), col("_2.DisplayName")).as[DoiBoostAffiliation]
|
||||
|
||||
|
||||
|
||||
val magPubs: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublicationFiltered").as[Publication]
|
||||
.map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))(tupleForJoinEncoder).filter(s => s._1 != null)
|
||||
|
||||
|
@ -198,8 +194,6 @@ object SparkGenerateDoiBoost {
|
|||
})(mapEncoderRel).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved")
|
||||
|
||||
|
||||
|
||||
|
||||
val unresolvedRels: Dataset[(String, Relation)] = spark.read.load(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved").as[Relation].map(r => {
|
||||
|
||||
if (r.getSource.startsWith("unresolved"))
|
|
@ -4,20 +4,19 @@ import eu.dnetlib.dhp.schema.common.ModelConstants
|
|||
import eu.dnetlib.dhp.schema.oaf._
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.{IdentifierFactory, OafMapperUtils}
|
||||
import eu.dnetlib.dhp.utils.DHPUtils
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil.{decideAccessRight, _}
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
import org.apache.commons.lang.StringUtils
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST.{JValue, _}
|
||||
import org.json4s.JsonAST._
|
||||
import org.json4s.jackson.JsonMethods._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import java.util
|
||||
import scala.collection.JavaConverters._
|
||||
import scala.collection.mutable
|
||||
import scala.util.matching.Regex
|
||||
import java.util
|
||||
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
|
||||
case class CrossrefDT(doi: String, json:String, timestamp: Long) {}
|
||||
|
|
@ -6,7 +6,7 @@ import org.apache.commons.io.IOUtils
|
|||
import org.apache.hadoop.io.{IntWritable, Text}
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.expressions.Aggregator
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql.{Dataset, Encoder, SaveMode, SparkSession}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
|
@ -30,7 +30,6 @@ object CrossrefDataset {
|
|||
def main(args: Array[String]): Unit = {
|
||||
|
||||
|
||||
|
||||
val conf: SparkConf = new SparkConf()
|
||||
val parser = new ArgumentApplicationParser(IOUtils.toString(CrossrefDataset.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_to_dataset_params.json")))
|
||||
parser.parseArgument(args)
|
|
@ -2,17 +2,12 @@ package eu.dnetlib.doiboost.crossref
|
|||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.crossref.CrossrefDataset.to_item
|
||||
import eu.dnetlib.doiboost.crossref.UnpackCrtossrefEntries.getClass
|
||||
import org.apache.hadoop.io.{IntWritable, Text}
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST.JArray
|
||||
import org.json4s.jackson.JsonMethods.{compact, parse, render}
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.io.Source
|
||||
|
@ -24,7 +19,6 @@ object GenerateCrossrefDataset {
|
|||
implicit val mrEncoder: Encoder[CrossrefDT] = Encoders.kryo[CrossrefDT]
|
||||
|
||||
|
||||
|
||||
def crossrefElement(meta: String): CrossrefDT = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
lazy val json: json4s.JValue = parse(meta)
|
|
@ -4,10 +4,8 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
|||
import eu.dnetlib.dhp.schema.oaf
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, Publication, Relation, Dataset => OafDataset}
|
||||
import org.apache.commons.io.IOUtils
|
||||
|
||||
import org.apache.spark.SparkConf
|
||||
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
|
|
@ -2,8 +2,8 @@ package eu.dnetlib.doiboost.crossref
|
|||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
import org.apache.spark.sql.SparkSession
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST.JArray
|
||||
|
@ -17,8 +17,6 @@ object UnpackCrtossrefEntries {
|
|||
val log: Logger = LoggerFactory.getLogger(UnpackCrtossrefEntries.getClass)
|
||||
|
||||
|
||||
|
||||
|
||||
def extractDump(input: String): List[String] = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
lazy val json: json4s.JValue = parse(input)
|
||||
|
@ -30,7 +28,6 @@ object UnpackCrtossrefEntries {
|
|||
}
|
||||
|
||||
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
val conf = new SparkConf
|
||||
val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_dump_reader/generate_dataset_params.json")).mkString)
|
|
@ -5,10 +5,10 @@ import eu.dnetlib.dhp.schema.common.ModelConstants
|
|||
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory
|
||||
import eu.dnetlib.dhp.schema.oaf.{Instance, Journal, Publication, StructuredProperty}
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import scala.collection.mutable
|
|
@ -3,8 +3,8 @@ package eu.dnetlib.doiboost.mag
|
|||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{SaveMode, SparkSession}
|
||||
import org.apache.spark.sql.types._
|
||||
import org.apache.spark.sql.{SaveMode, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
object SparkImportMagIntoDataset {
|
||||
|
@ -75,7 +75,6 @@ object SparkImportMagIntoDataset {
|
|||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
|
||||
|
||||
stream.foreach { case (k, v) =>
|
||||
val s: StructType = getSchema(k)
|
||||
val df = spark.read
|
|
@ -5,13 +5,10 @@ import eu.dnetlib.dhp.schema.oaf.Publication
|
|||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.functions._
|
||||
import org.apache.spark.sql.functions.{col, collect_list, struct}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
object SparkProcessMAG {
|
||||
|
||||
def getDistinctResults(d: Dataset[MagPapers]): Dataset[MagPapers] = {
|
||||
|
@ -20,7 +17,7 @@ object SparkProcessMAG {
|
|||
.reduceGroups((p1: MagPapers, p2: MagPapers) => ConversionUtil.choiceLatestMagArtitcle(p1, p2))
|
||||
.map(_._2)(Encoders.product[MagPapers])
|
||||
.map(mp => {
|
||||
new MagPapers(mp.PaperId, mp.Rank, DoiBoostMappingUtil.normalizeDoi(mp.Doi),
|
||||
MagPapers(mp.PaperId, mp.Rank, DoiBoostMappingUtil.normalizeDoi(mp.Doi),
|
||||
mp.DocType, mp.PaperTitle, mp.OriginalTitle,
|
||||
mp.BookTitle, mp.Year, mp.Date, mp.Publisher: String,
|
||||
mp.JournalId, mp.ConferenceSeriesId, mp.ConferenceInstanceId,
|
||||
|
@ -153,6 +150,5 @@ object SparkProcessMAG {
|
|||
.write.mode(SaveMode.Overwrite).save(s"$targetPath/magPublication")
|
||||
|
||||
|
||||
|
||||
}
|
||||
}
|
|
@ -4,17 +4,16 @@ import com.fasterxml.jackson.databind.ObjectMapper
|
|||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory
|
||||
import eu.dnetlib.dhp.schema.oaf.{Author, DataInfo, Publication}
|
||||
import eu.dnetlib.dhp.schema.orcid.{AuthorData, OrcidDOI}
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil.{createSP, generateDataInfo}
|
||||
import org.apache.commons.lang.StringUtils
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST._
|
||||
import org.json4s.jackson.JsonMethods._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
|
||||
case class ORCIDItem(doi:String, authors:List[OrcidAuthor]){}
|
|
@ -1,15 +1,12 @@
|
|||
package eu.dnetlib.doiboost.orcid
|
||||
|
||||
import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper}
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.merge.AuthorMerger
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import eu.dnetlib.dhp.schema.orcid.OrcidDOI
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.functions._
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql.functions.{col, collect_list}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
object SparkPreprocessORCID {
|
|
@ -1,16 +1,14 @@
|
|||
package eu.dnetlib.doiboost.uw
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import eu.dnetlib.doiboost.crossref.SparkMapDumpIntoOAF
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
|
||||
object SparkMapUnpayWallToOAF {
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
|
@ -4,14 +4,13 @@ import eu.dnetlib.dhp.schema.common.ModelConstants
|
|||
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory
|
||||
import eu.dnetlib.dhp.schema.oaf.{AccessRight, Instance, OpenAccessRoute, Publication}
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
import eu.dnetlib.doiboost.uw.UnpayWallToOAF.get_unpaywall_color
|
||||
|
||||
|
||||
|
|
@ -1,70 +0,0 @@
|
|||
package eu.dnetlib.dhp.doiboost
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.{Publication, Dataset => OafDataset}
|
||||
import eu.dnetlib.doiboost.{DoiBoostMappingUtil, HostedByItemType}
|
||||
import eu.dnetlib.doiboost.SparkGenerateDoiBoost.getClass
|
||||
import eu.dnetlib.doiboost.mag.ConversionUtil
|
||||
import eu.dnetlib.doiboost.orcid.ORCIDElement
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
import scala.io.Source
|
||||
|
||||
class DoiBoostHostedByMapTest {
|
||||
|
||||
|
||||
|
||||
// @Test
|
||||
// def testMerge():Unit = {
|
||||
// val conf: SparkConf = new SparkConf()
|
||||
// val spark: SparkSession =
|
||||
// SparkSession
|
||||
// .builder()
|
||||
// .config(conf)
|
||||
// .appName(getClass.getSimpleName)
|
||||
// .master("local[*]").getOrCreate()
|
||||
//
|
||||
//
|
||||
//
|
||||
// implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
|
||||
// implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
|
||||
// implicit val tupleForJoinEncoder: Encoder[(String, Publication)] = Encoders.tuple(Encoders.STRING, mapEncoderPub)
|
||||
//
|
||||
//
|
||||
// import spark.implicits._
|
||||
// val dataset:RDD[String]= spark.sparkContext.textFile("/home/sandro/Downloads/hbMap.gz")
|
||||
//
|
||||
//
|
||||
// val hbMap:Dataset[(String, HostedByItemType)] =spark.createDataset(dataset.map(DoiBoostMappingUtil.toHostedByItem))
|
||||
//
|
||||
//
|
||||
// hbMap.show()
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
// }
|
||||
|
||||
|
||||
@Test
|
||||
def idDSGeneration():Unit = {
|
||||
val s ="doajarticles::0066-782X"
|
||||
|
||||
|
||||
|
||||
println(DoiBoostMappingUtil.generateDSId(s))
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
|
@ -0,0 +1,20 @@
|
|||
package eu.dnetlib.dhp.doiboost
|
||||
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
class DoiBoostHostedByMapTest {
|
||||
|
||||
@Test
|
||||
def idDSGeneration():Unit = {
|
||||
val s ="doajarticles::0066-782X"
|
||||
|
||||
|
||||
|
||||
println(DoiBoostMappingUtil.generateDSId(s))
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
|
@ -1,7 +1,8 @@
|
|||
package eu.dnetlib.doiboost.crossref
|
||||
package eu.dnetlib.dhp.doiboost.crossref
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf._
|
||||
import eu.dnetlib.dhp.utils.DHPUtils
|
||||
import eu.dnetlib.doiboost.crossref.Crossref2Oaf
|
||||
import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
|
@ -21,9 +22,9 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testFunderRelationshipsMapping(): Unit = {
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("article_funder_template.json")).mkString
|
||||
val funder_doi = Source.fromInputStream(getClass.getResourceAsStream("funder_doi")).mkString
|
||||
val funder_name = Source.fromInputStream(getClass.getResourceAsStream("funder_doi")).mkString
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_funder_template.json")).mkString
|
||||
val funder_doi = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/funder_doi")).mkString
|
||||
val funder_name = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/funder_doi")).mkString
|
||||
|
||||
|
||||
for (line <- funder_doi.lines) {
|
||||
|
@ -72,7 +73,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testOrcidID() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("orcid_data.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/orcid_data.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
@ -93,7 +94,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testEmptyTitle() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("empty_title.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/empty_title.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
@ -115,7 +116,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testPeerReviewed(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("prwTest.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/prwTest.json")).mkString
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
|
||||
assertNotNull(json)
|
||||
|
@ -156,7 +157,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testJournalRelation(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("awardTest.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/awardTest.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty)
|
||||
|
@ -177,7 +178,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testConvertBookFromCrossRef2Oaf(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("book.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/book.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
@ -233,7 +234,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testConvertPreprintFromCrossRef2Oaf(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("preprint.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/preprint.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
@ -291,7 +292,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testConvertDatasetFromCrossRef2Oaf(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("dataset.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/dataset.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
@ -332,7 +333,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testConvertArticleFromCrossRef2Oaf(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("article.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
@ -400,7 +401,7 @@ class CrossrefMappingTest {
|
|||
@Test
|
||||
def testSetDateOfAcceptanceCrossRef2Oaf(): Unit = {
|
||||
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("dump_file.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/dump_file.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
@ -415,55 +416,12 @@ class CrossrefMappingTest {
|
|||
assert(items.size == 1)
|
||||
val result: Result = items.head.asInstanceOf[Publication]
|
||||
assertNotNull(result)
|
||||
|
||||
logger.info(mapper.writeValueAsString(result));
|
||||
|
||||
// assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
|
||||
// assertNotNull(
|
||||
// result.getDataInfo.getProvenanceaction,
|
||||
// "DataInfo/Provenance test not null Failed");
|
||||
// assertFalse(
|
||||
// result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
|
||||
// "DataInfo/Provenance/classId test not null Failed");
|
||||
// assertFalse(
|
||||
// result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
|
||||
// "DataInfo/Provenance/className test not null Failed");
|
||||
// assertFalse(
|
||||
// result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
|
||||
// "DataInfo/Provenance/SchemeId test not null Failed");
|
||||
// assertFalse(
|
||||
// result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
|
||||
// "DataInfo/Provenance/SchemeName test not null Failed");
|
||||
//
|
||||
// assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
|
||||
// assertFalse(result.getCollectedfrom.isEmpty);
|
||||
//
|
||||
// val collectedFromList = result.getCollectedfrom.asScala
|
||||
// assert(collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")), "Wrong collected from assertion")
|
||||
//
|
||||
// assert(collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")), "Wrong collected from assertion")
|
||||
//
|
||||
//
|
||||
// val relevantDates = result.getRelevantdate.asScala
|
||||
//
|
||||
// assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")), "Missing relevant date of type created")
|
||||
//
|
||||
// val rels = resultList.filter(p => p.isInstanceOf[Relation]).asInstanceOf[List[Relation]]
|
||||
// assertFalse(rels.isEmpty)
|
||||
// rels.foreach(relation => {
|
||||
// assertNotNull(relation)
|
||||
// assertFalse(relation.getSource.isEmpty)
|
||||
// assertFalse(relation.getTarget.isEmpty)
|
||||
// assertFalse(relation.getRelClass.isEmpty)
|
||||
// assertFalse(relation.getRelType.isEmpty)
|
||||
// assertFalse(relation.getSubRelType.isEmpty)
|
||||
//
|
||||
// })
|
||||
}
|
||||
|
||||
@Test
|
||||
def testNormalizeDOI(): Unit = {
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("article_funder_template.json")).mkString
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_funder_template.json")).mkString
|
||||
val line :String = "\"funder\": [{\"name\": \"Wellcome Trust Masters Fellowship\",\"award\": [\"090633\"]}],"
|
||||
val json = template.replace("%s", line)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
|
@ -479,7 +437,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testNormalizeDOI2(): Unit = {
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("article.json")).mkString
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json")).mkString
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(template)
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
@ -494,7 +452,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseVorClosed() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_vor.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_vor.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
@ -521,7 +479,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseOpen() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_open.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_open.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
@ -544,7 +502,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseEmbargoOpen() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_embargo_open.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo_open.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
@ -567,7 +525,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseEmbargo() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_embargo.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
@ -591,7 +549,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseEmbargoDateTime() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_embargo_datetime.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo_datetime.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
@ -614,7 +572,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testMultipleURLs() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("multiple_urls.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/multiple_urls.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
|
@ -1,11 +1,12 @@
|
|||
package eu.dnetlib.doiboost.mag
|
||||
package eu.dnetlib.dhp.doiboost.mag
|
||||
|
||||
import eu.dnetlib.doiboost.mag.{ConversionUtil, MagPapers, SparkProcessMAG}
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, SparkSession}
|
||||
import org.codehaus.jackson.map.ObjectMapper
|
||||
import org.json4s.DefaultFormats
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.json4s.DefaultFormats
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import java.sql.Timestamp
|
||||
|
@ -47,7 +48,7 @@ class MAGMappingTest {
|
|||
|
||||
@Test
|
||||
def buildInvertedIndexTest(): Unit = {
|
||||
val json_input = Source.fromInputStream(getClass.getResourceAsStream("invertedIndex.json")).mkString
|
||||
val json_input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/mag/invertedIndex.json")).mkString
|
||||
val description = ConversionUtil.convertInvertedIndexString(json_input)
|
||||
assertNotNull(description)
|
||||
assertTrue(description.nonEmpty)
|
||||
|
@ -71,7 +72,7 @@ class MAGMappingTest {
|
|||
.appName(getClass.getSimpleName)
|
||||
.config(conf)
|
||||
.getOrCreate()
|
||||
val path = getClass.getResource("magPapers.json").getPath
|
||||
val path = getClass.getResource("/eu/dnetlib/doiboost/mag/magPapers.json").getPath
|
||||
|
||||
import org.apache.spark.sql.Encoders
|
||||
val schema = Encoders.product[MagPapers].schema
|
||||
|
@ -101,7 +102,7 @@ class MAGMappingTest {
|
|||
.appName(getClass.getSimpleName)
|
||||
.config(conf)
|
||||
.getOrCreate()
|
||||
val path = getClass.getResource("duplicatedMagPapers.json").getPath
|
||||
val path = getClass.getResource("/eu/dnetlib/doiboost/mag/duplicatedMagPapers.json").getPath
|
||||
|
||||
import org.apache.spark.sql.Encoders
|
||||
val schema = Encoders.product[MagPapers].schema
|
|
@ -1,7 +1,8 @@
|
|||
package eu.dnetlib.doiboost.orcid
|
||||
package eu.dnetlib.dhp.doiboost.orcid
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import eu.dnetlib.doiboost.orcid._
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
|
@ -10,9 +11,8 @@ import org.junit.jupiter.api.io.TempDir
|
|||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import java.nio.file.Path
|
||||
import scala.io.Source
|
||||
|
||||
import scala.collection.JavaConversions._
|
||||
import scala.io.Source
|
||||
|
||||
class MappingORCIDToOAFTest {
|
||||
val logger: Logger = LoggerFactory.getLogger(ORCIDToOAF.getClass)
|
||||
|
@ -20,7 +20,7 @@ class MappingORCIDToOAFTest {
|
|||
|
||||
@Test
|
||||
def testExtractData():Unit ={
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("dataOutput")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/orcid/dataOutput")).mkString
|
||||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty)
|
||||
json.lines.foreach(s => {
|
|
@ -1,13 +1,13 @@
|
|||
package eu.dnetlib.doiboost.uw
|
||||
|
||||
package eu.dnetlib.dhp.doiboost.uw
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.oaf.OpenAccessRoute
|
||||
import eu.dnetlib.doiboost.uw.UnpayWallToOAF
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.io.Source
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
class UnpayWallMappingTest {
|
||||
|
||||
|
@ -18,7 +18,7 @@ class UnpayWallMappingTest {
|
|||
@Test
|
||||
def testMappingToOAF():Unit ={
|
||||
|
||||
val Ilist = Source.fromInputStream(getClass.getResourceAsStream("input.json")).mkString
|
||||
val Ilist = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/uw/input.json")).mkString
|
||||
|
||||
var i:Int = 0
|
||||
for (line <-Ilist.lines) {
|
|
@ -1,8 +1,8 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, TypedColumn}
|
||||
import org.apache.spark.sql.expressions.Aggregator
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, TypedColumn}
|
||||
|
||||
|
||||
case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {}
|
|
@ -2,13 +2,12 @@ package eu.dnetlib.dhp.oa.graph.hostedbymap
|
|||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.SparkApplyHostedByMapToResult.{applyHBtoPubs, getClass}
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.{Datasource, Publication}
|
||||
import eu.dnetlib.dhp.schema.oaf.Datasource
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.json4s.DefaultFormats
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
|
@ -5,16 +5,14 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
|||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
|
||||
import eu.dnetlib.dhp.schema.oaf.{Datasource, Instance, OpenAccessRoute, Publication}
|
||||
import eu.dnetlib.dhp.schema.oaf.{Instance, OpenAccessRoute, Publication}
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.json4s.DefaultFormats
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
|
||||
object SparkApplyHostedByMapToResult {
|
||||
|
||||
def applyHBtoPubs(join: Dataset[EntityInfo], pubs: Dataset[Publication]) = {
|
||||
|
@ -25,7 +23,7 @@ object SparkApplyHostedByMapToResult {
|
|||
val ei: EntityInfo = t2._2
|
||||
val i = p.getInstance().asScala
|
||||
if (i.size == 1) {
|
||||
val inst: Instance = i(0)
|
||||
val inst: Instance = i.head
|
||||
inst.getHostedby.setKey(ei.getHostedById)
|
||||
inst.getHostedby.setValue(ei.getName)
|
||||
if (ei.getOpenAccess) {
|
||||
|
@ -39,6 +37,7 @@ object SparkApplyHostedByMapToResult {
|
|||
p
|
||||
})(Encoders.bean(classOf[Publication]))
|
||||
}
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
|
||||
|
|
@ -3,18 +3,15 @@ package eu.dnetlib.dhp.oa.graph.hostedbymap
|
|||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.{Journal, Publication}
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
|
||||
|
||||
object SparkPrepareHostedByInfoToApply {
|
||||
|
||||
implicit val mapEncoderPInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
|
@ -1,22 +1,20 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.{DOAJModel, UnibiGoldModel}
|
||||
import eu.dnetlib.dhp.schema.oaf.Datasource
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.hadoop.conf.Configuration
|
||||
import org.apache.hadoop.fs.{FileSystem, Path}
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.json4s.DefaultFormats
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import org.apache.hadoop.conf.Configuration
|
||||
import org.apache.hadoop.fs.FileSystem
|
||||
import org.apache.hadoop.fs.Path
|
||||
|
||||
import java.io.PrintWriter
|
||||
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
|
||||
|
||||
object SparkProduceHostedByMap {
|
||||
|
||||
|
||||
|
@ -52,7 +50,6 @@ object SparkProduceHostedByMap {
|
|||
}
|
||||
|
||||
|
||||
|
||||
def getHostedByItemType(id: String, officialname: String, issn: String, eissn: String, issnl: String, oa: Boolean): HostedByItemType = {
|
||||
if (issn != null) {
|
||||
if (eissn != null) {
|
||||
|
@ -163,7 +160,6 @@ object SparkProduceHostedByMap {
|
|||
}
|
||||
|
||||
|
||||
|
||||
def writeToHDFS(input: Array[String], outputPath: String, hdfsNameNode: String): Unit = {
|
||||
val conf = new Configuration()
|
||||
|
||||
|
@ -182,7 +178,6 @@ object SparkProduceHostedByMap {
|
|||
}
|
||||
|
||||
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
|
||||
val logger: Logger = LoggerFactory.getLogger(getClass)
|
|
@ -4,17 +4,11 @@ import com.fasterxml.jackson.databind.ObjectMapper
|
|||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.common.HdfsSupport
|
||||
import eu.dnetlib.dhp.schema.common.ModelSupport
|
||||
import eu.dnetlib.dhp.schema.mdstore.MDStoreWithInfo
|
||||
import eu.dnetlib.dhp.schema.oaf.Oaf
|
||||
import eu.dnetlib.dhp.utils.DHPUtils
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.commons.lang3.StringUtils
|
||||
import org.apache.http.client.methods.HttpGet
|
||||
import org.apache.http.impl.client.HttpClients
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.slf4j.LoggerFactory
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import scala.io.Source
|
||||
|
|
@ -2,9 +2,8 @@ package eu.dnetlib.dhp.oa.graph.resolution
|
|||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.common.HdfsSupport
|
||||
import eu.dnetlib.dhp.schema.common.EntityType
|
||||
import eu.dnetlib.dhp.schema.oaf.{OtherResearchProduct, Publication, Result, Software, Dataset => OafDataset}
|
||||
import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset,_}
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.hadoop.fs.{FileSystem, Path}
|
||||
import org.apache.spark.SparkConf
|
|
@ -3,7 +3,7 @@ package eu.dnetlib.dhp.oa.graph.resolution
|
|||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.common.HdfsSupport
|
||||
import eu.dnetlib.dhp.schema.oaf.{Relation, Result}
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation
|
||||
import eu.dnetlib.dhp.utils.DHPUtils
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.hadoop.fs.{FileSystem, Path}
|
|
@ -18,7 +18,6 @@ object SparkDataciteToOAF {
|
|||
.config(conf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
import spark.implicits._
|
||||
|
||||
|
||||
val sc = spark.sparkContext
|
|
@ -2,7 +2,7 @@ package eu.dnetlib.dhp.sx.graph
|
|||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, OtherResearchProduct, Publication, Result, Software, Dataset => OafDataset}
|
||||
import eu.dnetlib.dhp.schema.oaf.Result
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
import org.apache.spark.SparkConf
|
|
@ -5,10 +5,10 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
|||
import eu.dnetlib.dhp.schema.sx.scholix.Scholix
|
||||
import eu.dnetlib.dhp.schema.sx.summary.ScholixSummary
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
import org.apache.hadoop.io.compress._
|
||||
|
||||
object SparkConvertObjectToJson {
|
||||
|
|
@ -2,11 +2,12 @@ package eu.dnetlib.dhp.sx.graph
|
|||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.schema.oaf.{OtherResearchProduct, Publication, Relation, Result, Software, Dataset => OafDataset}
|
||||
import eu.dnetlib.dhp.schema.oaf.{OtherResearchProduct, Publication, Relation, Software,Dataset => OafDataset}
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
object SparkConvertRDDtoDataset {
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
|
@ -1,14 +1,12 @@
|
|||
package eu.dnetlib.dhp.sx.graph
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, OtherResearchProduct, Publication, Relation, Result, Software, Dataset => OafDataset}
|
||||
import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset,_}
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
|
||||
|
||||
object SparkCreateInputGraph {
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
|
@ -41,9 +39,6 @@ object SparkCreateInputGraph {
|
|||
implicit val relEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation])
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
val sourcePath = parser.get("sourcePath")
|
||||
log.info(s"sourcePath -> $sourcePath")
|
||||
val targetPath = parser.get("targetPath")
|
|
@ -9,7 +9,7 @@ import eu.dnetlib.dhp.sx.graph.scholix.ScholixUtils.RelatedEntities
|
|||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.functions.count
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
object SparkCreateScholix {
|
|
@ -6,7 +6,7 @@ import eu.dnetlib.dhp.schema.sx.summary.ScholixSummary
|
|||
import eu.dnetlib.dhp.sx.graph.scholix.ScholixUtils
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
object SparkCreateSummaryObject {
|
|
@ -5,6 +5,7 @@ import org.apache.spark.sql.{Encoder, Encoders}
|
|||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
|
||||
import java.util.regex.Pattern
|
||||
import scala.language.postfixOps
|
||||
import scala.xml.{Elem, Node, XML}
|
|
@ -2,11 +2,11 @@ package eu.dnetlib.dhp.sx.graph.pangaea
|
|||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
import scala.io.Source
|
||||
|
||||
object SparkGeneratePanagaeaDataset {
|
||||
|
@ -46,7 +46,4 @@ object SparkGeneratePanagaeaDataset {
|
|||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
}
|
|
@ -1,6 +1,5 @@
|
|||
package eu.dnetlib.dhp.sx.graph.scholix
|
||||
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.{Publication, Relation, Result, StructuredProperty}
|
||||
import eu.dnetlib.dhp.schema.sx.scholix._
|
||||
import eu.dnetlib.dhp.schema.sx.summary.{CollectedFromType, SchemeValue, ScholixSummary, Typology}
|
||||
|
@ -10,10 +9,8 @@ import org.apache.spark.sql.{Encoder, Encoders}
|
|||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import scala.io.Source
|
||||
import scala.language.postfixOps
|
||||
|
||||
object ScholixUtils {
|
||||
|
||||
|
@ -21,6 +18,7 @@ object ScholixUtils {
|
|||
val DNET_IDENTIFIER_SCHEMA: String = "DNET Identifier"
|
||||
|
||||
val DATE_RELATION_KEY: String = "RelationDate"
|
||||
|
||||
case class RelationVocabulary(original: String, inverse: String) {}
|
||||
|
||||
case class RelatedEntities(id: String, relatedDataset: Long, relatedPublication: Long) {}
|
||||
|
@ -66,7 +64,6 @@ object ScholixUtils {
|
|||
}
|
||||
|
||||
|
||||
|
||||
val statsAggregator: Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] = new Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] with Serializable {
|
||||
override def zero: RelatedEntities = null
|
||||
|
||||
|
@ -85,8 +82,7 @@ object ScholixUtils {
|
|||
if (b1 != null && b2 != null)
|
||||
RelatedEntities(b1.id, b1.relatedDataset + b2.relatedDataset, b1.relatedPublication + b2.relatedPublication)
|
||||
|
||||
else
|
||||
if (b1!= null)
|
||||
else if (b1 != null)
|
||||
b1
|
||||
else
|
||||
b2
|
||||
|
@ -144,7 +140,6 @@ object ScholixUtils {
|
|||
s
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
@ -203,8 +198,7 @@ object ScholixUtils {
|
|||
|
||||
if (summaryObject.getDate != null && !summaryObject.getDate.isEmpty)
|
||||
r.setPublicationDate(summaryObject.getDate.get(0))
|
||||
if (summaryObject.getPublisher!= null && !summaryObject.getPublisher.isEmpty)
|
||||
{
|
||||
if (summaryObject.getPublisher != null && !summaryObject.getPublisher.isEmpty) {
|
||||
val plist: List[ScholixEntityId] = summaryObject.getPublisher.asScala.map(p => new ScholixEntityId(p, null)).toList
|
||||
|
||||
if (plist.nonEmpty)
|
||||
|
@ -228,9 +222,6 @@ object ScholixUtils {
|
|||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def scholixFromSource(relation: Relation, source: ScholixSummary): Scholix = {
|
||||
|
||||
if (relation == null || source == null)
|
|
@ -171,24 +171,6 @@ public class DumpJobTest {
|
|||
|
||||
GraphResult gr = verificationDataset.first();
|
||||
|
||||
// Assertions.assertEquals(2, gr.getMeasures().size());
|
||||
// Assertions
|
||||
// .assertTrue(
|
||||
// gr
|
||||
// .getMeasures()
|
||||
// .stream()
|
||||
// .anyMatch(
|
||||
// m -> m.getKey().equals("influence")
|
||||
// && m.getValue().equals("1.62759106106e-08")));
|
||||
// Assertions
|
||||
// .assertTrue(
|
||||
// gr
|
||||
// .getMeasures()
|
||||
// .stream()
|
||||
// .anyMatch(
|
||||
// m -> m.getKey().equals("popularity")
|
||||
// && m.getValue().equals("0.22519296")));
|
||||
|
||||
Assertions.assertEquals(6, gr.getAuthor().size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
|
|
|
@ -3,13 +3,9 @@ package eu.dnetlib.dhp.oa.graph.hostedbymap
|
|||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.SparkPrepareHostedByInfoToApply.{joinResHBM, prepareResultInfo, toEntityInfo}
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
import eu.dnetlib.dhp.schema.oaf.{Datasource, OpenAccessRoute, Publication}
|
||||
import javax.management.openmbean.OpenMBeanAttributeInfo
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import org.junit.jupiter.api.Assertions.{assertEquals, assertTrue}
|
||||
import org.junit.jupiter.api.Test
|
||||
|
|
@ -4,10 +4,9 @@ import eu.dnetlib.dhp.schema.oaf.Datasource
|
|||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.json4s.DefaultFormats
|
||||
import org.junit.jupiter.api.Assertions.{assertNotNull, assertTrue}
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.json4s.jackson.Serialization.write
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
class TestPreprocess extends java.io.Serializable{
|
||||
|
|
@ -37,7 +37,8 @@ class ScholixGraphTest extends AbstractVocabularyTest{
|
|||
val input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/scholix/result.json")).mkString
|
||||
val res =SparkResolveRelation.extractPidsFromRecord(input)
|
||||
assertNotNull(res)
|
||||
assertTrue(res._2.size == 2)
|
||||
|
||||
assertEquals(1,res._2.size)
|
||||
|
||||
}
|
||||
|
Loading…
Reference in New Issue