diff --git a/.gitignore b/.gitignore index f4fb46f2e..0b794ef74 100644 --- a/.gitignore +++ b/.gitignore @@ -3,8 +3,6 @@ *.iws *.ipr *.iml -*.ipr -*.iws *~ .vscode .metals diff --git a/dhp-build/dhp-code-style/pom.xml b/dhp-build/dhp-code-style/pom.xml index 77aa2aedb..db0097d64 100644 --- a/dhp-build/dhp-code-style/pom.xml +++ b/dhp-build/dhp-code-style/pom.xml @@ -22,9 +22,20 @@ dnet45-releases https://maven.d4science.org/nexus/content/repositories/dnet45-releases + + DHPSite + ${dhp.site.stage.path}/dhp-build/dhp-code-style + + + + org.apache.maven.wagon + wagon-ssh + 2.10 + + @@ -35,7 +46,7 @@ org.apache.maven.plugins maven-site-plugin - 3.7.1 + 3.9.1 @@ -43,6 +54,7 @@ UTF-8 + sftp://dnet-hadoop@static-web.d4science.org/dnet-hadoop \ No newline at end of file diff --git a/dhp-build/dhp-code-style/src/site/site.xml b/dhp-build/dhp-code-style/src/site/site.xml new file mode 100644 index 000000000..634a2c154 --- /dev/null +++ b/dhp-build/dhp-code-style/src/site/site.xml @@ -0,0 +1,21 @@ + + + + org.apache.maven.skins + maven-fluido-skin + 1.8 + + + + + + + + + + + + \ No newline at end of file diff --git a/dhp-build/pom.xml b/dhp-build/pom.xml index 12b999b9c..97fbdf45b 100644 --- a/dhp-build/pom.xml +++ b/dhp-build/pom.xml @@ -10,6 +10,9 @@ pom This module is a container for the build tools used in dnet-hadoop + + true + dhp-code-style @@ -17,4 +20,12 @@ dhp-build-properties-maven-plugin + + + + DHPSite + ${dhp.site.stage.path}/dhp-build/ + + + diff --git a/dhp-build/src/site/site.xml b/dhp-build/src/site/site.xml new file mode 100644 index 000000000..2d9d769a2 --- /dev/null +++ b/dhp-build/src/site/site.xml @@ -0,0 +1,22 @@ + + + + org.apache.maven.skins + maven-fluido-skin + 1.8 + + + + + + + + + + + + + \ No newline at end of file diff --git a/dhp-common/pom.xml b/dhp-common/pom.xml index c057123b1..7b18f0105 100644 --- a/dhp-common/pom.xml +++ b/dhp-common/pom.xml @@ -13,7 +13,51 @@ dhp-common jar + + + DHPSite + ${dhp.site.stage.path}/dhp-common + + + This module contains common utilities meant to be used across the dnet-hadoop submodules + + + + net.alchim31.maven + scala-maven-plugin + ${net.alchim31.maven.version} + + + scala-compile-first + initialize + + add-source + compile + + + + scala-test-compile + process-test-resources + + testCompile + + + + scala-doc + process-resources + + doc + + + + + ${scala.version} + + + + + diff --git a/dhp-common/src/main/java/eu/dnetlib/dhp/common/vocabulary/VocabularyGroup.java b/dhp-common/src/main/java/eu/dnetlib/dhp/common/vocabulary/VocabularyGroup.java index d5f57849c..1c129ff9c 100644 --- a/dhp-common/src/main/java/eu/dnetlib/dhp/common/vocabulary/VocabularyGroup.java +++ b/dhp-common/src/main/java/eu/dnetlib/dhp/common/vocabulary/VocabularyGroup.java @@ -57,9 +57,17 @@ public class VocabularyGroup implements Serializable { final String syn = arr[2].trim(); vocs.addSynonyms(vocId, termId, syn); + } } + // add the term names as synonyms + vocs.vocs.values().forEach(voc -> { + voc.getTerms().values().forEach(term -> { + voc.addSynonym(term.getName().toLowerCase(), term.getId()); + }); + }); + return vocs; } diff --git a/dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/GraphCleaningFunctions.java b/dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/GraphCleaningFunctions.java index 592580ab8..37f5573d0 100644 --- a/dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/GraphCleaningFunctions.java +++ b/dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/GraphCleaningFunctions.java @@ -16,6 +16,8 @@ import com.github.sisyphsu.dateparser.DateParserUtils; import com.google.common.collect.Lists; import com.google.common.collect.Sets; +import eu.dnetlib.dhp.common.vocabulary.Vocabulary; +import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup; import eu.dnetlib.dhp.schema.common.ModelConstants; import eu.dnetlib.dhp.schema.common.ModelSupport; import eu.dnetlib.dhp.schema.oaf.*; @@ -86,6 +88,22 @@ public class GraphCleaningFunctions extends CleaningFunctions { } public static boolean filter(T value) { + if (Boolean.TRUE + .equals( + Optional + .ofNullable(value) + .map( + o -> Optional + .ofNullable(o.getDataInfo()) + .map( + d -> Optional + .ofNullable(d.getInvisible()) + .orElse(true)) + .orElse(true)) + .orElse(true))) { + return false; + } + if (value instanceof Datasource) { // nothing to evaluate here } else if (value instanceof Project) { @@ -115,7 +133,7 @@ public class GraphCleaningFunctions extends CleaningFunctions { return true; } - public static T cleanup(T value) { + public static T cleanup(T value, VocabularyGroup vocs) { if (value instanceof Datasource) { // nothing to clean here } else if (value instanceof Project) { @@ -212,6 +230,15 @@ public class GraphCleaningFunctions extends CleaningFunctions { .map(GraphCleaningFunctions::cleanValue) .collect(Collectors.toList())); } + if (Objects.nonNull(r.getFormat())) { + r + .setFormat( + r + .getFormat() + .stream() + .map(GraphCleaningFunctions::cleanValue) + .collect(Collectors.toList())); + } if (Objects.nonNull(r.getDescription())) { r .setDescription( @@ -234,6 +261,38 @@ public class GraphCleaningFunctions extends CleaningFunctions { if (Objects.nonNull(r.getInstance())) { for (Instance i : r.getInstance()) { + if (!vocs.termExists(ModelConstants.DNET_PUBLICATION_RESOURCE, i.getInstancetype().getClassid())) { + if (r instanceof Publication) { + i + .setInstancetype( + OafMapperUtils + .qualifier( + "0038", "Other literature type", ModelConstants.DNET_PUBLICATION_RESOURCE, + ModelConstants.DNET_PUBLICATION_RESOURCE)); + } else if (r instanceof Dataset) { + i + .setInstancetype( + OafMapperUtils + .qualifier( + "0039", "Other dataset type", ModelConstants.DNET_PUBLICATION_RESOURCE, + ModelConstants.DNET_PUBLICATION_RESOURCE)); + } else if (r instanceof Software) { + i + .setInstancetype( + OafMapperUtils + .qualifier( + "0040", "Other software type", ModelConstants.DNET_PUBLICATION_RESOURCE, + ModelConstants.DNET_PUBLICATION_RESOURCE)); + } else if (r instanceof OtherResearchProduct) { + i + .setInstancetype( + OafMapperUtils + .qualifier( + "0020", "Other ORP type", ModelConstants.DNET_PUBLICATION_RESOURCE, + ModelConstants.DNET_PUBLICATION_RESOURCE)); + } + } + if (Objects.nonNull(i.getPid())) { i.setPid(processPidCleaning(i.getPid())); } diff --git a/dhp-common/src/main/scala/eu/dnetlib/dhp/application/SparkScalaApplication.scala b/dhp-common/src/main/scala/eu/dnetlib/dhp/application/SparkScalaApplication.scala new file mode 100644 index 000000000..6541746b2 --- /dev/null +++ b/dhp-common/src/main/scala/eu/dnetlib/dhp/application/SparkScalaApplication.scala @@ -0,0 +1,72 @@ +package eu.dnetlib.dhp.application + +import scala.io.Source + +/** + * This is the main Interface SparkApplication + * where all the Spark Scala class should inherit + * + */ +trait SparkScalaApplication { + /** + * This is the path in the classpath of the json + * describes all the argument needed to run + */ + val propertyPath: String + + /** + * Utility to parse the arguments using the + * property json in the classpath identified from + * the variable propertyPath + * + * @param args the list of arguments + */ + def parseArguments(args: Array[String]): ArgumentApplicationParser = { + val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream(propertyPath)).mkString) + parser.parseArgument(args) + parser + } + + /** + * Here all the spark applications runs this method + * where the whole logic of the spark node is defined + */ + def run(): Unit +} + + +import org.apache.spark.SparkConf +import org.apache.spark.sql.SparkSession +import org.slf4j.Logger + +abstract class AbstractScalaApplication (val propertyPath:String, val args:Array[String], log:Logger) extends SparkScalaApplication { + + var parser: ArgumentApplicationParser = null + + var spark:SparkSession = null + + + def initialize():SparkScalaApplication = { + parser = parseArguments(args) + spark = createSparkSession() + this + } + + /** + * Utility for creating a spark session starting from parser + * + * @return a spark Session + */ + private def createSparkSession():SparkSession = { + require(parser!= null) + + val conf:SparkConf = new SparkConf() + val master = parser.get("master") + log.info(s"Creating Spark session: Master: $master") + SparkSession.builder().config(conf) + .appName(getClass.getSimpleName) + .master(master) + .getOrCreate() + } + +} \ No newline at end of file diff --git a/dhp-common/src/test/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtilsTest.java b/dhp-common/src/test/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtilsTest.java index 4068f0abb..8804469fa 100644 --- a/dhp-common/src/test/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtilsTest.java +++ b/dhp-common/src/test/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtilsTest.java @@ -107,7 +107,7 @@ class OafMapperUtilsTest { assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("2006-01-02T15:04:05+0000").get()); assertEquals("2009-08-13", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09-07:00").get()); assertEquals("2009-08-12", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09").get()); - assertEquals("2009-08-12", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09Z").get()); + assertEquals("2009-08-13", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09Z").get()); assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 17:24:37.3186369").get()); assertEquals("2012-08-03", GraphCleaningFunctions.doCleanDate("2012-08-03 18:31:59.257000000").get()); assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 17:24:37.123").get()); diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/scholix/SparkCreateActionset.scala b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/scholix/SparkCreateActionset.scala deleted file mode 100644 index 7a87861db..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/scholix/SparkCreateActionset.scala +++ /dev/null @@ -1,69 +0,0 @@ -package eu.dnetlib.dhp.actionmanager.scholix - -import eu.dnetlib.dhp.application.ArgumentApplicationParser -import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result} -import org.apache.spark.SparkConf -import org.apache.spark.sql._ -import org.slf4j.{Logger, LoggerFactory} - -import scala.io.Source - -object SparkCreateActionset { - - def main(args: Array[String]): Unit = { - val log: Logger = LoggerFactory.getLogger(getClass) - val conf: SparkConf = new SparkConf() - val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/generate_actionset.json")).mkString) - parser.parseArgument(args) - - - val spark: SparkSession = - SparkSession - .builder() - .config(conf) - .appName(getClass.getSimpleName) - .master(parser.get("master")).getOrCreate() - - - val sourcePath = parser.get("sourcePath") - log.info(s"sourcePath -> $sourcePath") - - val targetPath = parser.get("targetPath") - log.info(s"targetPath -> $targetPath") - - val workingDirFolder = parser.get("workingDirFolder") - log.info(s"workingDirFolder -> $workingDirFolder") - - implicit val oafEncoders: Encoder[Oaf] = Encoders.kryo[Oaf] - implicit val resultEncoders: Encoder[Result] = Encoders.kryo[Result] - implicit val relationEncoders: Encoder[Relation] = Encoders.kryo[Relation] - - import spark.implicits._ - - val relation = spark.read.load(s"$sourcePath/relation").as[Relation] - - relation.filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge")) - .flatMap(r => List(r.getSource, r.getTarget)).distinct().write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/id_relation") - - - val idRelation = spark.read.load(s"$workingDirFolder/id_relation").as[String] - - log.info("extract source and target Identifier involved in relations") - - - log.info("save relation filtered") - - relation.filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge")) - .write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/actionSetOaf") - - log.info("saving entities") - - val entities: Dataset[(String, Result)] = spark.read.load(s"$sourcePath/entities/*").as[Result].map(p => (p.getId, p))(Encoders.tuple(Encoders.STRING, resultEncoders)) - - entities - .joinWith(idRelation, entities("_1").equalTo(idRelation("value"))) - .map(p => p._1._2) - .write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf") - } - -} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/scholix/SparkSaveActionSet.scala b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/scholix/SparkSaveActionSet.scala deleted file mode 100644 index 1df7ea3fb..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/scholix/SparkSaveActionSet.scala +++ /dev/null @@ -1,86 +0,0 @@ -package eu.dnetlib.dhp.actionmanager.scholix - -import com.fasterxml.jackson.databind.ObjectMapper -import eu.dnetlib.dhp.application.ArgumentApplicationParser -import eu.dnetlib.dhp.schema.action.AtomicAction -import eu.dnetlib.dhp.schema.oaf.{Oaf, Dataset => OafDataset,Publication, Software, OtherResearchProduct, Relation} -import org.apache.hadoop.io.Text -import org.apache.hadoop.io.compress.GzipCodec -import org.apache.hadoop.mapred.SequenceFileOutputFormat -import org.apache.spark.SparkConf -import org.apache.spark.sql.{Encoder, Encoders, SparkSession} -import org.slf4j.{Logger, LoggerFactory} - -import scala.io.Source - -object SparkSaveActionSet { - - - def toActionSet(item: Oaf): (String, String) = { - val mapper = new ObjectMapper() - - item match { - case dataset: OafDataset => - val a: AtomicAction[OafDataset] = new AtomicAction[OafDataset] - a.setClazz(classOf[OafDataset]) - a.setPayload(dataset) - (dataset.getClass.getCanonicalName, mapper.writeValueAsString(a)) - case publication: Publication => - val a: AtomicAction[Publication] = new AtomicAction[Publication] - a.setClazz(classOf[Publication]) - a.setPayload(publication) - (publication.getClass.getCanonicalName, mapper.writeValueAsString(a)) - case software: Software => - val a: AtomicAction[Software] = new AtomicAction[Software] - a.setClazz(classOf[Software]) - a.setPayload(software) - (software.getClass.getCanonicalName, mapper.writeValueAsString(a)) - case orp: OtherResearchProduct => - val a: AtomicAction[OtherResearchProduct] = new AtomicAction[OtherResearchProduct] - a.setClazz(classOf[OtherResearchProduct]) - a.setPayload(orp) - (orp.getClass.getCanonicalName, mapper.writeValueAsString(a)) - - case relation: Relation => - val a: AtomicAction[Relation] = new AtomicAction[Relation] - a.setClazz(classOf[Relation]) - a.setPayload(relation) - (relation.getClass.getCanonicalName, mapper.writeValueAsString(a)) - case _ => - null - } - - } - - def main(args: Array[String]): Unit = { - val log: Logger = LoggerFactory.getLogger(getClass) - val conf: SparkConf = new SparkConf() - val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/save_actionset.json")).mkString) - parser.parseArgument(args) - - - val spark: SparkSession = - SparkSession - .builder() - .config(conf) - .appName(getClass.getSimpleName) - .master(parser.get("master")).getOrCreate() - - - val sourcePath = parser.get("sourcePath") - log.info(s"sourcePath -> $sourcePath") - - val targetPath = parser.get("targetPath") - log.info(s"targetPath -> $targetPath") - - implicit val oafEncoders: Encoder[Oaf] = Encoders.kryo[Oaf] - implicit val tEncoder: Encoder[(String, String)] = Encoders.tuple(Encoders.STRING, Encoders.STRING) - - spark.read.load(sourcePath).as[Oaf] - .map(o => toActionSet(o)) - .filter(o => o != null) - .rdd.map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$targetPath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text, Text]], classOf[GzipCodec]) - - } - -} diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/log4j.properties b/dhp-workflows/dhp-aggregation/src/main/resources/log4j.properties index 63cba917e..81458d1f7 100644 --- a/dhp-workflows/dhp-aggregation/src/main/resources/log4j.properties +++ b/dhp-workflows/dhp-aggregation/src/main/resources/log4j.properties @@ -7,3 +7,6 @@ log4j.appender.A1=org.apache.log4j.ConsoleAppender # A1 uses PatternLayout. log4j.appender.A1.layout=org.apache.log4j.PatternLayout log4j.appender.A1.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n + +log4j.logger.org.apache.spark=FATAL +log4j.logger.org.spark_project=FATAL diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/collection/CollectionUtils.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/collection/CollectionUtils.scala similarity index 100% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/collection/CollectionUtils.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/collection/CollectionUtils.scala diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/AbstractRestClient.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/AbstractRestClient.scala similarity index 100% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/AbstractRestClient.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/AbstractRestClient.scala diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/DataciteAPIImporter.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteAPIImporter.scala similarity index 100% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/DataciteAPIImporter.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteAPIImporter.scala diff --git a/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteModelConstants.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteModelConstants.scala new file mode 100644 index 000000000..6c5dc8cce --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteModelConstants.scala @@ -0,0 +1,134 @@ +package eu.dnetlib.dhp.datacite + +import eu.dnetlib.dhp.schema.common.ModelConstants +import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils +import eu.dnetlib.dhp.schema.oaf.{DataInfo, KeyValue} + +import java.io.InputStream +import java.time.format.DateTimeFormatter +import java.util.Locale +import java.util.regex.Pattern +import scala.io.Source + +/** + * This class represent the dataModel of the input Dataset of Datacite + * @param doi THE DOI + * @param timestamp timestamp of last update date + * @param isActive the record is active or deleted + * @param json the json native records + */ +case class DataciteType(doi: String, timestamp: Long, isActive: Boolean, json: String) {} + +/* + The following class are utility class used for the mapping from + json datacite to OAF Shema + */ +case class RelatedIdentifierType(relationType: String, relatedIdentifier: String, relatedIdentifierType: String) {} + +case class NameIdentifiersType(nameIdentifierScheme: Option[String], schemeUri: Option[String], nameIdentifier: Option[String]) {} + +case class CreatorType(nameType: Option[String], nameIdentifiers: Option[List[NameIdentifiersType]], name: Option[String], familyName: Option[String], givenName: Option[String], affiliation: Option[List[String]]) {} + +case class TitleType(title: Option[String], titleType: Option[String], lang: Option[String]) {} + +case class SubjectType(subject: Option[String], subjectScheme: Option[String]) {} + +case class DescriptionType(descriptionType: Option[String], description: Option[String]) {} + +case class FundingReferenceType(funderIdentifierType: Option[String], awardTitle: Option[String], awardUri: Option[String], funderName: Option[String], funderIdentifier: Option[String], awardNumber: Option[String]) {} + +case class DateType(date: Option[String], dateType: Option[String]) {} + +case class OAFRelations(relation:String, inverse:String, relType:String) + + +class DataciteModelConstants extends Serializable { + +} + +object DataciteModelConstants { + + val REL_TYPE_VALUE:String = "resultResult" + val DATE_RELATION_KEY = "RelationDate" + val DATACITE_FILTER_PATH = "/eu/dnetlib/dhp/datacite/datacite_filter" + val DOI_CLASS = "doi" + val SUBJ_CLASS = "keywords" + val DATACITE_NAME = "Datacite" + val dataInfo: DataInfo = dataciteDataInfo("0.9") + val DATACITE_COLLECTED_FROM: KeyValue = OafMapperUtils.keyValue(ModelConstants.DATACITE_ID, DATACITE_NAME) + + val subRelTypeMapping: Map[String,OAFRelations] = Map( + ModelConstants.REFERENCES -> OAFRelations(ModelConstants.REFERENCES, ModelConstants.IS_REFERENCED_BY, ModelConstants.RELATIONSHIP), + ModelConstants.IS_REFERENCED_BY -> OAFRelations(ModelConstants.IS_REFERENCED_BY,ModelConstants.REFERENCES, ModelConstants.RELATIONSHIP), + + ModelConstants.IS_SUPPLEMENTED_BY -> OAFRelations(ModelConstants.IS_SUPPLEMENTED_BY,ModelConstants.IS_SUPPLEMENT_TO,ModelConstants.SUPPLEMENT), + ModelConstants.IS_SUPPLEMENT_TO -> OAFRelations(ModelConstants.IS_SUPPLEMENT_TO,ModelConstants.IS_SUPPLEMENTED_BY,ModelConstants.SUPPLEMENT), + + ModelConstants.HAS_PART -> OAFRelations(ModelConstants.HAS_PART,ModelConstants.IS_PART_OF, ModelConstants.PART), + ModelConstants.IS_PART_OF -> OAFRelations(ModelConstants.IS_PART_OF,ModelConstants.HAS_PART, ModelConstants.PART), + + ModelConstants.IS_VERSION_OF-> OAFRelations(ModelConstants.IS_VERSION_OF,ModelConstants.HAS_VERSION,ModelConstants.VERSION), + ModelConstants.HAS_VERSION-> OAFRelations(ModelConstants.HAS_VERSION,ModelConstants.IS_VERSION_OF,ModelConstants.VERSION), + + ModelConstants.IS_IDENTICAL_TO -> OAFRelations(ModelConstants.IS_IDENTICAL_TO,ModelConstants.IS_IDENTICAL_TO, ModelConstants.RELATIONSHIP), + + ModelConstants.IS_CONTINUED_BY -> OAFRelations(ModelConstants.IS_CONTINUED_BY,ModelConstants.CONTINUES, ModelConstants.RELATIONSHIP), + ModelConstants.CONTINUES -> OAFRelations(ModelConstants.CONTINUES,ModelConstants.IS_CONTINUED_BY, ModelConstants.RELATIONSHIP), + + ModelConstants.IS_NEW_VERSION_OF-> OAFRelations(ModelConstants.IS_NEW_VERSION_OF,ModelConstants.IS_PREVIOUS_VERSION_OF, ModelConstants.VERSION), + ModelConstants.IS_PREVIOUS_VERSION_OF ->OAFRelations(ModelConstants.IS_PREVIOUS_VERSION_OF,ModelConstants.IS_NEW_VERSION_OF, ModelConstants.VERSION), + + ModelConstants.IS_DOCUMENTED_BY -> OAFRelations(ModelConstants.IS_DOCUMENTED_BY,ModelConstants.DOCUMENTS, ModelConstants.RELATIONSHIP), + ModelConstants.DOCUMENTS -> OAFRelations(ModelConstants.DOCUMENTS,ModelConstants.IS_DOCUMENTED_BY, ModelConstants.RELATIONSHIP), + + ModelConstants.IS_SOURCE_OF -> OAFRelations(ModelConstants.IS_SOURCE_OF,ModelConstants.IS_DERIVED_FROM, ModelConstants.VERSION), + ModelConstants.IS_DERIVED_FROM -> OAFRelations(ModelConstants.IS_DERIVED_FROM,ModelConstants.IS_SOURCE_OF, ModelConstants.VERSION), + + ModelConstants.CITES -> OAFRelations(ModelConstants.CITES,ModelConstants.IS_CITED_BY, ModelConstants.CITATION), + ModelConstants.IS_CITED_BY -> OAFRelations(ModelConstants.IS_CITED_BY,ModelConstants.CITES, ModelConstants.CITATION), + + ModelConstants.IS_VARIANT_FORM_OF -> OAFRelations(ModelConstants.IS_VARIANT_FORM_OF,ModelConstants.IS_DERIVED_FROM, ModelConstants.VERSION), + ModelConstants.IS_OBSOLETED_BY -> OAFRelations(ModelConstants.IS_OBSOLETED_BY,ModelConstants.IS_NEW_VERSION_OF, ModelConstants.VERSION), + + ModelConstants.REVIEWS -> OAFRelations(ModelConstants.REVIEWS,ModelConstants.IS_REVIEWED_BY, ModelConstants.REVIEW), + ModelConstants.IS_REVIEWED_BY -> OAFRelations(ModelConstants.IS_REVIEWED_BY,ModelConstants.REVIEWS, ModelConstants.REVIEW), + + ModelConstants.DOCUMENTS -> OAFRelations(ModelConstants.DOCUMENTS,ModelConstants.IS_DOCUMENTED_BY, ModelConstants.RELATIONSHIP), + ModelConstants.IS_DOCUMENTED_BY -> OAFRelations(ModelConstants.IS_DOCUMENTED_BY,ModelConstants.DOCUMENTS, ModelConstants.RELATIONSHIP), + + ModelConstants.COMPILES -> OAFRelations(ModelConstants.COMPILES,ModelConstants.IS_COMPILED_BY, ModelConstants.RELATIONSHIP), + ModelConstants.IS_COMPILED_BY -> OAFRelations(ModelConstants.IS_COMPILED_BY,ModelConstants.COMPILES, ModelConstants.RELATIONSHIP) + ) + + + val datacite_filter: List[String] = { + val stream: InputStream = getClass.getResourceAsStream(DATACITE_FILTER_PATH) + require(stream!= null) + Source.fromInputStream(stream).getLines().toList + } + + + def dataciteDataInfo(trust: String): DataInfo = OafMapperUtils.dataInfo(false,null, false, false, ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER, trust) + + val df_en: DateTimeFormatter = DateTimeFormatter.ofPattern("[MM-dd-yyyy][MM/dd/yyyy][dd-MM-yy][dd-MMM-yyyy][dd/MMM/yyyy][dd-MMM-yy][dd/MMM/yy][dd-MM-yy][dd/MM/yy][dd-MM-yyyy][dd/MM/yyyy][yyyy-MM-dd][yyyy/MM/dd]", Locale.ENGLISH) + val df_it: DateTimeFormatter = DateTimeFormatter.ofPattern("[dd-MM-yyyy][dd/MM/yyyy]", Locale.ITALIAN) + + val funder_regex: List[(Pattern, String)] = List( + (Pattern.compile("(info:eu-repo/grantagreement/ec/h2020/)(\\d\\d\\d\\d\\d\\d)(.*)", Pattern.MULTILINE | Pattern.CASE_INSENSITIVE), "40|corda__h2020::"), + (Pattern.compile("(info:eu-repo/grantagreement/ec/fp7/)(\\d\\d\\d\\d\\d\\d)(.*)", Pattern.MULTILINE | Pattern.CASE_INSENSITIVE), "40|corda_______::") + + ) + + val Date_regex: List[Pattern] = List( + //Y-M-D + Pattern.compile("(18|19|20)\\d\\d([- /.])(0[1-9]|1[012])\\2(0[1-9]|[12][0-9]|3[01])", Pattern.MULTILINE), + //M-D-Y + Pattern.compile("((0[1-9]|1[012])|([1-9]))([- /.])(0[1-9]|[12][0-9]|3[01])([- /.])(18|19|20)?\\d\\d", Pattern.MULTILINE), + //D-M-Y + Pattern.compile("(?:(?:31(/|-|\\.)(?:0?[13578]|1[02]|(?:Jan|Mar|May|Jul|Aug|Oct|Dec)))\\1|(?:(?:29|30)(/|-|\\.)(?:0?[1,3-9]|1[0-2]|(?:Jan|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec))\\2))(?:(?:1[6-9]|[2-9]\\d)?\\d{2})|(?:29(/|-|\\.)(?:0?2|(?:Feb))\\3(?:(?:(?:1[6-9]|[2-9]\\d)?(?:0[48]|[2468][048]|[13579][26])|(?:(?:16|[2468][048]|[3579][26])00))))|(?:0?[1-9]|1\\d|2[0-8])(/|-|\\.)(?:(?:0?[1-9]|(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep))|(?:1[0-2]|(?:Oct|Nov|Dec)))\\4(?:(?:1[6-9]|[2-9]\\d)?\\d{2})", Pattern.MULTILINE), + //Y + Pattern.compile("(19|20)\\d\\d", Pattern.MULTILINE) + ) + + +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/DataciteToOAFTransformation.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTransformation.scala similarity index 70% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/DataciteToOAFTransformation.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTransformation.scala index 6ce4920ed..a662cf99d 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/DataciteToOAFTransformation.scala +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTransformation.scala @@ -2,131 +2,42 @@ package eu.dnetlib.dhp.datacite import com.fasterxml.jackson.databind.ObjectMapper import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup +import eu.dnetlib.dhp.datacite.DataciteModelConstants._ import eu.dnetlib.dhp.schema.action.AtomicAction import eu.dnetlib.dhp.schema.common.ModelConstants import eu.dnetlib.dhp.schema.oaf.utils.{IdentifierFactory, OafMapperUtils} -import eu.dnetlib.dhp.schema.oaf.{AccessRight, Author, DataInfo, Instance, KeyValue, Oaf, OtherResearchProduct, Publication, Qualifier, Relation, Result, Software, StructuredProperty, Dataset => OafDataset} +import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset, _} import eu.dnetlib.dhp.utils.DHPUtils import org.apache.commons.lang3.StringUtils import org.json4s.DefaultFormats import org.json4s.JsonAST.{JField, JObject, JString} import org.json4s.jackson.JsonMethods.parse -import java.nio.charset.CodingErrorAction import java.text.SimpleDateFormat import java.time.LocalDate import java.time.chrono.ThaiBuddhistDate import java.time.format.DateTimeFormatter -import java.util.regex.Pattern import java.util.{Date, Locale} import scala.collection.JavaConverters._ -import scala.io.{Codec, Source} -import scala.language.postfixOps -case class DataciteType(doi: String, timestamp: Long, isActive: Boolean, json: String) {} - -case class RelatedIdentifierType(relationType: String, relatedIdentifier: String, relatedIdentifierType: String) {} - -case class NameIdentifiersType(nameIdentifierScheme: Option[String], schemeUri: Option[String], nameIdentifier: Option[String]) {} - -case class CreatorType(nameType: Option[String], nameIdentifiers: Option[List[NameIdentifiersType]], name: Option[String], familyName: Option[String], givenName: Option[String], affiliation: Option[List[String]]) {} - -case class TitleType(title: Option[String], titleType: Option[String], lang: Option[String]) {} - -case class SubjectType(subject: Option[String], subjectScheme: Option[String]) {} - -case class DescriptionType(descriptionType: Option[String], description: Option[String]) {} - -case class FundingReferenceType(funderIdentifierType: Option[String], awardTitle: Option[String], awardUri: Option[String], funderName: Option[String], funderIdentifier: Option[String], awardNumber: Option[String]) {} - -case class DateType(date: Option[String], dateType: Option[String]) {} - -case class HostedByMapType(openaire_id: String, datacite_name: String, official_name: String, similarity: Option[Float]) {} object DataciteToOAFTransformation { - val REL_TYPE_VALUE:String = "resultResult" - val DATE_RELATION_KEY = "RelationDate" - - val subRelTypeMapping: Map[String,(String,String)] = Map( - "References" ->("IsReferencedBy","relationship"), - "IsSupplementTo" ->("IsSupplementedBy","supplement"), - "IsPartOf" ->("HasPart","part"), - "HasPart" ->("IsPartOf","part"), - "IsVersionOf" ->("HasVersion","version"), - "HasVersion" ->("IsVersionOf","version"), - "IsIdenticalTo" ->("IsIdenticalTo","relationship"), - "IsPreviousVersionOf" ->("IsNewVersionOf","version"), - "IsContinuedBy" ->("Continues","relationship"), - "Continues" ->("IsContinuedBy","relationship"), - "IsNewVersionOf" ->("IsPreviousVersionOf","version"), - "IsSupplementedBy" ->("IsSupplementTo","supplement"), - "IsDocumentedBy" ->("Documents","relationship"), - "IsSourceOf" ->("IsDerivedFrom","relationship"), - "Cites" ->("IsCitedBy","citation"), - "IsCitedBy" ->("Cites","citation"), - "IsDerivedFrom" ->("IsSourceOf","relationship"), - "IsVariantFormOf" ->("IsDerivedFrom","version"), - "IsReferencedBy" ->("References","relationship"), - "IsObsoletedBy" ->("IsNewVersionOf","version"), - "Reviews" ->("IsReviewedBy","review"), - "Documents" ->("IsDocumentedBy","relationship"), - "IsCompiledBy" ->("Compiles","relationship"), - "Compiles" ->("IsCompiledBy","relationship"), - "IsReviewedBy" ->("Reviews","review") - ) - - implicit val codec: Codec = Codec("UTF-8") - codec.onMalformedInput(CodingErrorAction.REPLACE) - codec.onUnmappableCharacter(CodingErrorAction.REPLACE) - - val DOI_CLASS = "doi" - val SUBJ_CLASS = "keywords" - - - val j_filter: List[String] = { - val s = Source.fromInputStream(getClass.getResourceAsStream("datacite_filter")).mkString - s.lines.toList - } - val mapper = new ObjectMapper() - val unknown_repository: HostedByMapType = HostedByMapType(ModelConstants.UNKNOWN_REPOSITORY_ORIGINALID, ModelConstants.UNKNOWN_REPOSITORY.getValue, ModelConstants.UNKNOWN_REPOSITORY.getValue, Some(1.0F)) - val dataInfo: DataInfo = generateDataInfo("0.9") - val DATACITE_COLLECTED_FROM: KeyValue = OafMapperUtils.keyValue(ModelConstants.DATACITE_ID, "Datacite") - val hostedByMap: Map[String, HostedByMapType] = { - val s = Source.fromInputStream(getClass.getResourceAsStream("hostedBy_map.json")).mkString - implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats - lazy val json: org.json4s.JValue = parse(s) - json.extract[Map[String, HostedByMapType]] - } - - val df_en: DateTimeFormatter = DateTimeFormatter.ofPattern("[MM-dd-yyyy][MM/dd/yyyy][dd-MM-yy][dd-MMM-yyyy][dd/MMM/yyyy][dd-MMM-yy][dd/MMM/yy][dd-MM-yy][dd/MM/yy][dd-MM-yyyy][dd/MM/yyyy][yyyy-MM-dd][yyyy/MM/dd]", Locale.ENGLISH) - val df_it: DateTimeFormatter = DateTimeFormatter.ofPattern("[dd-MM-yyyy][dd/MM/yyyy]", Locale.ITALIAN) - - val funder_regex: List[(Pattern, String)] = List( - (Pattern.compile("(info:eu-repo/grantagreement/ec/h2020/)(\\d\\d\\d\\d\\d\\d)(.*)", Pattern.MULTILINE | Pattern.CASE_INSENSITIVE), "40|corda__h2020::"), - (Pattern.compile("(info:eu-repo/grantagreement/ec/fp7/)(\\d\\d\\d\\d\\d\\d)(.*)", Pattern.MULTILINE | Pattern.CASE_INSENSITIVE), "40|corda_______::") - - ) - - val Date_regex: List[Pattern] = List( - //Y-M-D - Pattern.compile("(18|19|20)\\d\\d([- /.])(0[1-9]|1[012])\\2(0[1-9]|[12][0-9]|3[01])", Pattern.MULTILINE), - //M-D-Y - Pattern.compile("((0[1-9]|1[012])|([1-9]))([- /.])(0[1-9]|[12][0-9]|3[01])([- /.])(18|19|20)?\\d\\d", Pattern.MULTILINE), - //D-M-Y - Pattern.compile("(?:(?:31(/|-|\\.)(?:0?[13578]|1[02]|(?:Jan|Mar|May|Jul|Aug|Oct|Dec)))\\1|(?:(?:29|30)(/|-|\\.)(?:0?[1,3-9]|1[0-2]|(?:Jan|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec))\\2))(?:(?:1[6-9]|[2-9]\\d)?\\d{2})|(?:29(/|-|\\.)(?:0?2|(?:Feb))\\3(?:(?:(?:1[6-9]|[2-9]\\d)?(?:0[48]|[2468][048]|[13579][26])|(?:(?:16|[2468][048]|[3579][26])00))))|(?:0?[1-9]|1\\d|2[0-8])(/|-|\\.)(?:(?:0?[1-9]|(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep))|(?:1[0-2]|(?:Oct|Nov|Dec)))\\4(?:(?:1[6-9]|[2-9]\\d)?\\d{2})", Pattern.MULTILINE), - //Y - Pattern.compile("(19|20)\\d\\d", Pattern.MULTILINE) - ) - - - def filter_json(json: String): Boolean = { - j_filter.exists(f => json.contains(f)) + /** + * This method should skip record if json contains invalid text + * defined in gile datacite_filter + * + * @param json + * @return True if the record should be skipped + */ + def skip_record(json: String): Boolean = { + datacite_filter.exists(f => json.contains(f)) } + @deprecated("this method will be removed", "dhp") def toActionSet(item: Oaf): (String, String) = { val mapper = new ObjectMapper() @@ -197,15 +108,17 @@ object DataciteToOAFTransformation { d } - def fix_thai_date(input:String, format:String) :String = { + def fix_thai_date(input: String, format: String): String = { try { - val a_date = LocalDate.parse(input,DateTimeFormatter.ofPattern(format)) + val a_date = LocalDate.parse(input, DateTimeFormatter.ofPattern(format)) val d = ThaiBuddhistDate.of(a_date.getYear, a_date.getMonth.getValue, a_date.getDayOfMonth) LocalDate.from(d).toString } catch { case _: Throwable => "" } } + + def getTypeQualifier(resourceType: String, resourceTypeGeneral: String, schemaOrg: String, vocabularies: VocabularyGroup): (Qualifier, Qualifier) = { if (resourceType != null && resourceType.nonEmpty) { val typeQualifier = vocabularies.getSynonymAsQualifier(ModelConstants.DNET_PUBLICATION_RESOURCE, resourceType) @@ -324,11 +237,7 @@ object DataciteToOAFTransformation { val p = match_pattern.get._2 val grantId = m.matcher(awardUri).replaceAll("$2") val targetId = s"$p${DHPUtils.md5(grantId)}" - List( - generateRelation(sourceId, targetId, "isProducedBy", DATACITE_COLLECTED_FROM, dataInfo) -// REMOVED INVERSE RELATION since there is a specific method that should generate later -// generateRelation(targetId, sourceId, "produces", DATACITE_COLLECTED_FROM, dataInfo) - ) + List(generateRelation(sourceId, targetId, "isProducedBy", DATACITE_COLLECTED_FROM, dataInfo)) } else List() @@ -337,7 +246,7 @@ object DataciteToOAFTransformation { def generateOAF(input: String, ts: Long, dateOfCollection: Long, vocabularies: VocabularyGroup, exportLinks: Boolean): List[Oaf] = { - if (filter_json(input)) + if (skip_record(input)) return List() implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats @@ -427,15 +336,15 @@ object DataciteToOAFTransformation { .map(d => d.get) if (a_date.isDefined) { - if(doi.startsWith("10.14457")) - result.setEmbargoenddate(OafMapperUtils.field(fix_thai_date(a_date.get,"[yyyy-MM-dd]"), null)) + if (doi.startsWith("10.14457")) + result.setEmbargoenddate(OafMapperUtils.field(fix_thai_date(a_date.get, "[yyyy-MM-dd]"), null)) else result.setEmbargoenddate(OafMapperUtils.field(a_date.get, null)) } if (i_date.isDefined && i_date.get.isDefined) { - if(doi.startsWith("10.14457")) { - result.setDateofacceptance(OafMapperUtils.field(fix_thai_date(i_date.get.get,"[yyyy-MM-dd]"), null)) - result.getInstance().get(0).setDateofacceptance(OafMapperUtils.field(fix_thai_date(i_date.get.get,"[yyyy-MM-dd]"), null)) + if (doi.startsWith("10.14457")) { + result.setDateofacceptance(OafMapperUtils.field(fix_thai_date(i_date.get.get, "[yyyy-MM-dd]"), null)) + result.getInstance().get(0).setDateofacceptance(OafMapperUtils.field(fix_thai_date(i_date.get.get, "[yyyy-MM-dd]"), null)) } else { result.setDateofacceptance(OafMapperUtils.field(i_date.get.get, null)) @@ -443,9 +352,9 @@ object DataciteToOAFTransformation { } } else if (publication_year != null) { - if(doi.startsWith("10.14457")) { - result.setDateofacceptance(OafMapperUtils.field(fix_thai_date(s"01-01-$publication_year","[dd-MM-yyyy]"), null)) - result.getInstance().get(0).setDateofacceptance(OafMapperUtils.field(fix_thai_date(s"01-01-$publication_year","[dd-MM-yyyy]"), null)) + if (doi.startsWith("10.14457")) { + result.setDateofacceptance(OafMapperUtils.field(fix_thai_date(s"01-01-$publication_year", "[dd-MM-yyyy]"), null)) + result.getInstance().get(0).setDateofacceptance(OafMapperUtils.field(fix_thai_date(s"01-01-$publication_year", "[dd-MM-yyyy]"), null)) } else { result.setDateofacceptance(OafMapperUtils.field(s"01-01-$publication_year", null)) @@ -516,8 +425,8 @@ object DataciteToOAFTransformation { val access_rights_qualifier = if (aRights.isDefined) aRights.get else OafMapperUtils.accessRight(ModelConstants.UNKNOWN, ModelConstants.NOT_AVAILABLE, ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES) if (client.isDefined) { - val hb = hostedByMap.getOrElse(client.get.toUpperCase(), unknown_repository) - instance.setHostedby(OafMapperUtils.keyValue(generateDSId(hb.openaire_id), hb.official_name)) + + instance.setHostedby(OafMapperUtils.keyValue(generateDSId(ModelConstants.UNKNOWN_REPOSITORY_ORIGINALID), ModelConstants.UNKNOWN_REPOSITORY.getValue)) instance.setCollectedfrom(DATACITE_COLLECTED_FROM) instance.setUrl(List(s"https://dx.doi.org/$doi").asJava) instance.setAccessright(access_rights_qualifier) @@ -549,7 +458,7 @@ object DataciteToOAFTransformation { JField("relatedIdentifier", JString(relatedIdentifier)) <- relIdentifier } yield RelatedIdentifierType(relationType, relatedIdentifier, relatedIdentifierType) - relations = relations ::: generateRelations(rels,result.getId, if (i_date.isDefined && i_date.get.isDefined) i_date.get.get else null) + relations = relations ::: generateRelations(rels, result.getId, if (i_date.isDefined && i_date.get.isDefined) i_date.get.get else null) } if (relations != null && relations.nonEmpty) { List(result) ::: relations @@ -558,7 +467,7 @@ object DataciteToOAFTransformation { List(result) } - private def generateRelations(rels: List[RelatedIdentifierType], id:String, date:String):List[Relation] = { + private def generateRelations(rels: List[RelatedIdentifierType], id: String, date: String): List[Relation] = { rels .filter(r => subRelTypeMapping.contains(r.relationType) && ( @@ -571,32 +480,23 @@ object DataciteToOAFTransformation { rel.setCollectedfrom(List(DATACITE_COLLECTED_FROM).asJava) rel.setDataInfo(dataInfo) - val subRelType = subRelTypeMapping(r.relationType)._2 + val subRelType = subRelTypeMapping(r.relationType).relType rel.setRelType(REL_TYPE_VALUE) rel.setSubRelType(subRelType) rel.setRelClass(r.relationType) - val dateProps:KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date) + val dateProps: KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date) rel.setProperties(List(dateProps).asJava) rel.setSource(id) - rel.setTarget(DHPUtils.generateUnresolvedIdentifier(r.relatedIdentifier,r.relatedIdentifierType)) + rel.setTarget(DHPUtils.generateUnresolvedIdentifier(r.relatedIdentifier, r.relatedIdentifierType)) rel.setCollectedfrom(List(DATACITE_COLLECTED_FROM).asJava) rel.getCollectedfrom.asScala.map(c => c.getValue).toList rel - }).toList + }) } - def generateDataInfo(trust: String): DataInfo = { - val di = new DataInfo - di.setDeletedbyinference(false) - di.setInferred(false) - di.setInvisible(false) - di.setTrust(trust) - di.setProvenanceaction(ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER) - di - } def generateDSId(input: String): String = { val b = StringUtils.substringBefore(input, "::") @@ -605,4 +505,4 @@ object DataciteToOAFTransformation { } -} \ No newline at end of file +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/GenerateDataciteDatasetSpark.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/GenerateDataciteDatasetSpark.scala similarity index 52% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/GenerateDataciteDatasetSpark.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/GenerateDataciteDatasetSpark.scala index a63627d1c..e1607ee9c 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/GenerateDataciteDatasetSpark.scala +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/GenerateDataciteDatasetSpark.scala @@ -1,64 +1,94 @@ package eu.dnetlib.dhp.datacite import com.fasterxml.jackson.databind.ObjectMapper -import eu.dnetlib.dhp.application.ArgumentApplicationParser +import eu.dnetlib.dhp.application.AbstractScalaApplication 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.Constants.{MDSTORE_DATA_PATH, 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 import eu.dnetlib.dhp.utils.ISLookupClientFactory -import org.apache.spark.SparkConf import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession} import org.slf4j.{Logger, LoggerFactory} -import scala.io.Source -object GenerateDataciteDatasetSpark { +class GenerateDataciteDatasetSpark (propertyPath:String, args:Array[String], log:Logger) extends AbstractScalaApplication(propertyPath, args, log:Logger) { + /** + * Here all the spark applications runs this method + * where the whole logic of the spark node is defined + */ + override def run(): Unit = { - val log: Logger = LoggerFactory.getLogger(GenerateDataciteDatasetSpark.getClass) - - def main(args: Array[String]): Unit = { - val conf = new SparkConf - val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/datacite/generate_dataset_params.json")).mkString) - parser.parseArgument(args) - val master = parser.get("master") val sourcePath = parser.get("sourcePath") + log.info(s"SourcePath is '$sourcePath'") val exportLinks = "true".equalsIgnoreCase(parser.get("exportLinks")) + log.info(s"exportLinks is '$exportLinks'") val isLookupUrl: String = parser.get("isLookupUrl") log.info("isLookupUrl: {}", isLookupUrl) val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl) val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService) - val spark: SparkSession = SparkSession.builder().config(conf) - .appName(GenerateDataciteDatasetSpark.getClass.getSimpleName) - .master(master) - .getOrCreate() + require(vocabularies != null) + val mdstoreOutputVersion = parser.get("mdstoreOutputVersion") + log.info(s"mdstoreOutputVersion is '$mdstoreOutputVersion'") + + val mapper = new ObjectMapper() + val cleanedMdStoreVersion = mapper.readValue(mdstoreOutputVersion, classOf[MDStoreVersion]) + val outputBasePath = cleanedMdStoreVersion.getHdfsPath + log.info(s"outputBasePath is '$outputBasePath'") + val targetPath = s"$outputBasePath/$MDSTORE_DATA_PATH" + log.info(s"targetPath is '$targetPath'") + + generateDataciteDataset(sourcePath, exportLinks, vocabularies, targetPath, spark) + + reportTotalSize(targetPath, outputBasePath) + } + + + /** + * For working with MDStore we need to store in a file on hdfs the size of + * the current dataset + * @param targetPath + * @param outputBasePath + */ + def reportTotalSize( targetPath: String, outputBasePath: String ):Unit = { + val total_items = spark.read.load(targetPath).count() + writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$total_items", outputBasePath + MDSTORE_SIZE_PATH) + } + + /** + * Generate the transformed and cleaned OAF Dataset from the native one + + * @param sourcePath sourcePath of the native Dataset in format JSON/Datacite + * @param exportLinks If true it generates unresolved links + * @param vocabularies vocabularies for cleaning + * @param targetPath the targetPath of the result Dataset + */ + def generateDataciteDataset(sourcePath: String, exportLinks: Boolean, vocabularies: VocabularyGroup, targetPath: String, spark:SparkSession):Unit = { + require(spark!= null) import spark.implicits._ implicit val mrEncoder: Encoder[MetadataRecord] = Encoders.kryo[MetadataRecord] implicit val resEncoder: Encoder[Oaf] = Encoders.kryo[Oaf] - - val mdstoreOutputVersion = parser.get("mdstoreOutputVersion") - val mapper = new ObjectMapper() - val cleanedMdStoreVersion = mapper.readValue(mdstoreOutputVersion, classOf[MDStoreVersion]) - val outputBasePath = cleanedMdStoreVersion.getHdfsPath - - log.info("outputBasePath: {}", outputBasePath) - val targetPath = s"$outputBasePath/$MDSTORE_DATA_PATH" - spark.read.load(sourcePath).as[DataciteType] .filter(d => d.isActive) .flatMap(d => DataciteToOAFTransformation.generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks)) .filter(d => d != null) .flatMap(i => fixRelations(i)).filter(i => i != null) .write.mode(SaveMode.Overwrite).save(targetPath) + } - val total_items = spark.read.load(targetPath).as[Oaf].count() - writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$total_items", outputBasePath + MDSTORE_SIZE_PATH) +} + + +object GenerateDataciteDatasetSpark { + + val log: Logger = LoggerFactory.getLogger(GenerateDataciteDatasetSpark.getClass) + + def main(args: Array[String]): Unit = { + new GenerateDataciteDatasetSpark("/eu/dnetlib/dhp/datacite/generate_dataset_params.json", args, log).initialize().run() } } diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/ImportDatacite.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/ImportDatacite.scala similarity index 100% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/ImportDatacite.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/ImportDatacite.scala diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/SparkDownloadUpdateDatacite.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/SparkDownloadUpdateDatacite.scala similarity index 100% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/datacite/SparkDownloadUpdateDatacite.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/SparkDownloadUpdateDatacite.scala diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/BioDBToOAF.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/BioDBToOAF.scala similarity index 99% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/BioDBToOAF.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/BioDBToOAF.scala index 70dcc0184..853b24862 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/BioDBToOAF.scala +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/BioDBToOAF.scala @@ -7,6 +7,7 @@ import org.json4s.DefaultFormats import org.json4s.JsonAST.{JField, JObject, JString} import org.json4s.jackson.JsonMethods.{compact, parse, render} import collection.JavaConverters._ + object BioDBToOAF { case class EBILinkItem(id: Long, links: String) {} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/SparkTransformBioDatabaseToOAF.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/SparkTransformBioDatabaseToOAF.scala similarity index 73% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/SparkTransformBioDatabaseToOAF.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/SparkTransformBioDatabaseToOAF.scala index 8ae8285e3..fcceacd44 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/SparkTransformBioDatabaseToOAF.scala +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/SparkTransformBioDatabaseToOAF.scala @@ -1,9 +1,9 @@ package eu.dnetlib.dhp.sx.bio import eu.dnetlib.dhp.application.ArgumentApplicationParser -import eu.dnetlib.dhp.schema.oaf.Oaf -import BioDBToOAF.ScholixResolved import eu.dnetlib.dhp.collection.CollectionUtils +import eu.dnetlib.dhp.schema.oaf.Oaf +import eu.dnetlib.dhp.sx.bio.BioDBToOAF.ScholixResolved import org.apache.commons.io.IOUtils import org.apache.spark.SparkConf import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession} @@ -36,13 +36,13 @@ object SparkTransformBioDatabaseToOAF { import spark.implicits._ database.toUpperCase() match { case "UNIPROT" => - spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath) + spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath) case "PDB" => - spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))).flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath) + spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath) case "SCHOLIX" => - spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)).flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath) + spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath) case "CROSSREF_LINKS" => - spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))).flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath) + spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath) } } diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala similarity index 98% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala index 17d21f19c..660a26a6c 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala @@ -3,7 +3,7 @@ package eu.dnetlib.dhp.sx.bio.ebi import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup import eu.dnetlib.dhp.schema.oaf.Result -import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal, PMParser, PubMedToOaf} +import eu.dnetlib.dhp.sx.bio.pubmed._ import eu.dnetlib.dhp.utils.ISLookupClientFactory import org.apache.commons.io.IOUtils import org.apache.hadoop.conf.Configuration diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkDownloadEBILinks.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkDownloadEBILinks.scala similarity index 98% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkDownloadEBILinks.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkDownloadEBILinks.scala index eab6b1dc6..18e39387f 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkDownloadEBILinks.scala +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkDownloadEBILinks.scala @@ -1,9 +1,8 @@ package eu.dnetlib.dhp.sx.bio.ebi import eu.dnetlib.dhp.application.ArgumentApplicationParser -import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal} import eu.dnetlib.dhp.sx.bio.BioDBToOAF.EBILinkItem -import eu.dnetlib.dhp.sx.bio.pubmed.PMJournal +import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal} import org.apache.commons.io.IOUtils import org.apache.http.client.config.RequestConfig import org.apache.http.client.methods.HttpGet diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkEBILinksToOaf.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkEBILinksToOaf.scala similarity index 93% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkEBILinksToOaf.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkEBILinksToOaf.scala index 8da617ca0..12af4824b 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/ebi/SparkEBILinksToOaf.scala +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkEBILinksToOaf.scala @@ -1,11 +1,10 @@ package eu.dnetlib.dhp.sx.bio.ebi import eu.dnetlib.dhp.application.ArgumentApplicationParser +import eu.dnetlib.dhp.collection.CollectionUtils import eu.dnetlib.dhp.schema.oaf.Oaf import eu.dnetlib.dhp.sx.bio.BioDBToOAF import eu.dnetlib.dhp.sx.bio.BioDBToOAF.EBILinkItem -import BioDBToOAF.EBILinkItem -import eu.dnetlib.dhp.collection.CollectionUtils import org.apache.commons.io.IOUtils import org.apache.spark.SparkConf import org.apache.spark.sql._ @@ -38,7 +37,7 @@ object SparkEBILinksToOaf { ebLinks.flatMap(j => BioDBToOAF.parse_ebi_links(j.links)) .filter(p => BioDBToOAF.EBITargetLinksFilter(p)) .flatMap(p => BioDBToOAF.convertEBILinksToOaf(p)) - .flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null) + .flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null) .write.mode(SaveMode.Overwrite).save(targetPath) } } diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/pubmed/PMParser.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PMParser.scala similarity index 100% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/pubmed/PMParser.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PMParser.scala diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala similarity index 96% rename from dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala rename to dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala index ecef32202..4a93a7cb4 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala +++ b/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala @@ -4,7 +4,7 @@ import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup import eu.dnetlib.dhp.schema.common.ModelConstants import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType} import eu.dnetlib.dhp.schema.oaf._ -import scala.collection.JavaConverters._ +import collection.JavaConverters._ import java.util.regex.Pattern @@ -22,10 +22,10 @@ object PubMedToOaf { val collectedFrom: KeyValue = OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central") - /** * Cleaning the DOI Applying regex in order to * remove doi starting with URL + * * @param doi input DOI * @return cleaned DOI */ @@ -49,7 +49,7 @@ object PubMedToOaf { * starting from OAF instanceType value * * @param cobjQualifier OAF instance type - * @param vocabularies All dnet vocabularies + * @param vocabularies All dnet vocabularies * @return the correct instance */ def createResult(cobjQualifier: Qualifier, vocabularies: VocabularyGroup): Result = { @@ -65,7 +65,7 @@ object PubMedToOaf { } /** - * Mapping the Pubmedjournal info into the OAF Journale + * Mapping the Pubmedjournal info into the OAF Journale * * @param j the pubmedJournal * @return the OAF Journal @@ -91,9 +91,8 @@ object PubMedToOaf { * Find vocabulary term into synonyms and term in the vocabulary * * @param vocabularyName the input vocabulary name - * @param vocabularies all the vocabularies - * @param term the term to find - * + * @param vocabularies all the vocabularies + * @param term the term to find * @return the cleaned term value */ def getVocabularyTerm(vocabularyName: String, vocabularies: VocabularyGroup, term: String): Qualifier = { @@ -104,10 +103,9 @@ object PubMedToOaf { /** - * Map the Pubmed Article into the OAF instance + * Map the Pubmed Article into the OAF instance * - * - * @param article the pubmed articles + * @param article the pubmed articles * @param vocabularies the vocabularies * @return The OAF instance if the mapping did not fail */ @@ -185,7 +183,6 @@ object PubMedToOaf { //-------------------------------------------------------------------------------------- - // RESULT MAPPING //-------------------------------------------------------------------------------------- result.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(article.getDate), dataInfo)) diff --git a/dhp-workflows/dhp-aggregation/src/site/markdown/index.md b/dhp-workflows/dhp-aggregation/src/site/markdown/index.md index c0c756082..240617f91 100644 --- a/dhp-workflows/dhp-aggregation/src/site/markdown/index.md +++ b/dhp-workflows/dhp-aggregation/src/site/markdown/index.md @@ -1,9 +1,20 @@ ##DHP-Aggregation -This module defines a set of oozie workflows for the **collection** and **transformation** of metadata records. +This module defines a set of oozie workflows for -Both workflows interact with the Metadata Store Manager (MdSM) to handle the logical transactions required to ensure +1. the **collection** and **transformation** of metadata records. +2. the **integration** of new external information in the result + + +### Collection and Transformation + +The workflows interact with the Metadata Store Manager (MdSM) to handle the logical transactions required to ensure the consistency of the read/write operations on the data as the MdSM in fact keeps track of the logical-physical mapping of each MDStore. -It defines [mappings](mappings.md) for transformation of different datasource (See mapping section). \ No newline at end of file +It defines [mappings](mappings.md) for transformation of different datasource (See mapping section). + +### Integration of external information in the result + +The workflows create new entity in the OpenAIRE format (OAF) which aim is to enrich the result already contained in the graph. +See integration section for more insight diff --git a/dhp-workflows/dhp-aggregation/src/site/markdown/integration.md b/dhp-workflows/dhp-aggregation/src/site/markdown/integration.md new file mode 100644 index 000000000..baf232e40 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/site/markdown/integration.md @@ -0,0 +1,36 @@ +DHP Aggregation - Integration method +===================================== + +The integration method can be applied every time new information, which is not aggregated from the repositories +nor computed directly by OpenAIRE, should be added to the results of the graph. + +The information integrated so far is: + +1. Article impact measures + 1. [Bip!Finder](https://dl.acm.org/doi/10.1145/3357384.3357850) scores +2. Result Subjects + 1. Integration of Fields od Science and Techonology ([FOS](https://www.qnrf.org/en-us/FOS)) classification in + results subjects. + + +The method always consists in the creation of a new entity in the OpenAIRE format (OAF entity) containing only the id +and the element in the OAF model that should be used to map the information we want to integrate. + +The id is set by using a particular encoding of the given PID + +*unresolved:[pid]:[pidtype]* + +where + +1. *unresolved* is a constant value +2. *pid* is the persistent id value, e.g. 10.5281/zenodo.4707307 +3. *pidtype* is the persistent id type, e.g. doi + +Such entities are matched against those available in the graph using the result.instance.pid values. + +This mechanism can be used to integrate enrichments produced as associated by a given PID. +If a match will be found with one of the results already in the graph that said result will be enriched with the information +present in the new OAF. +All the objects for which a match is not found are discarded. + + diff --git a/dhp-workflows/dhp-aggregation/src/site/markdown/pubmed.md b/dhp-workflows/dhp-aggregation/src/site/markdown/pubmed.md index f6327a51b..c1813394b 100644 --- a/dhp-workflows/dhp-aggregation/src/site/markdown/pubmed.md +++ b/dhp-workflows/dhp-aggregation/src/site/markdown/pubmed.md @@ -4,13 +4,13 @@ This section describes the mapping implemented for [MEDLINE/PubMed](https://pubm Collection --------- The native data is collected from [ftp baseline](https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/) containing XML with -the following [shcema](https://www.nlm.nih.gov/bsd/licensee/elements_descriptions.html) +the following [schema](https://www.nlm.nih.gov/bsd/licensee/elements_descriptions.html) Parsing ------- -The resposible class of parsing is [PMParser](./scaladocs/#eu.dnetlib.dhp.sx.bio.pubmed.PMParser) that generates -an intermediate mapping of PubMed Article defined [here](/apidocs/eu/dnetlib/dhp/sx/bio/pubmed/package-summary.html) +The resposible class of parsing is [PMParser](/dnet-hadoop/scaladocs/#eu.dnetlib.dhp.sx.bio.pubmed.PMParser) that generates +an intermediate mapping of PubMed Article defined [here](/dnet-hadoop/apidocs/eu/dnetlib/dhp/sx/bio/pubmed/package-summary.html) Mapping @@ -50,6 +50,10 @@ The table below describes the mapping from the XML Native to the OAF mapping |//Author/FullName| author.Forename| Concatenation of forname + lastName if exist | |FOR ALL AUTHOR | author.rank| sequential number starting from 1| +#TODO + +Missing item mapped + diff --git a/dhp-workflows/dhp-aggregation/src/site/site.xml b/dhp-workflows/dhp-aggregation/src/site/site.xml index da5da0f1e..75fc5032e 100644 --- a/dhp-workflows/dhp-aggregation/src/site/site.xml +++ b/dhp-workflows/dhp-aggregation/src/site/site.xml @@ -20,7 +20,9 @@ - + + + diff --git a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/opencitations/CreateOpenCitationsASTest.java b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/opencitations/CreateOpenCitationsASTest.java index 5a04dcefe..5153c412f 100644 --- a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/opencitations/CreateOpenCitationsASTest.java +++ b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/opencitations/CreateOpenCitationsASTest.java @@ -89,13 +89,13 @@ public class CreateOpenCitationsASTest { "-inputPath", inputPath, "-outputPath", - workingDir.toString() + "/actionSet" + workingDir.toString() + "/actionSet1" }); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .sequenceFile(workingDir.toString() + "/actionSet1", Text.class, Text.class) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(aa -> ((Relation) aa.getPayload())); @@ -121,13 +121,13 @@ public class CreateOpenCitationsASTest { "-inputPath", inputPath, "-outputPath", - workingDir.toString() + "/actionSet" + workingDir.toString() + "/actionSet2" }); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .sequenceFile(workingDir.toString() + "/actionSet2", Text.class, Text.class) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(aa -> ((Relation) aa.getPayload())); @@ -153,13 +153,13 @@ public class CreateOpenCitationsASTest { "-inputPath", inputPath, "-outputPath", - workingDir.toString() + "/actionSet" + workingDir.toString() + "/actionSet3" }); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .sequenceFile(workingDir.toString() + "/actionSet3", Text.class, Text.class) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(aa -> ((Relation) aa.getPayload())); @@ -186,13 +186,13 @@ public class CreateOpenCitationsASTest { "-inputPath", inputPath, "-outputPath", - workingDir.toString() + "/actionSet" + workingDir.toString() + "/actionSet4" }); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .sequenceFile(workingDir.toString() + "/actionSet4", Text.class, Text.class) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(aa -> ((Relation) aa.getPayload())); @@ -226,13 +226,13 @@ public class CreateOpenCitationsASTest { "-inputPath", inputPath, "-outputPath", - workingDir.toString() + "/actionSet" + workingDir.toString() + "/actionSet5" }); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .sequenceFile(workingDir.toString() + "/actionSet5", Text.class, Text.class) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(aa -> ((Relation) aa.getPayload())); @@ -261,13 +261,13 @@ public class CreateOpenCitationsASTest { "-inputPath", inputPath, "-outputPath", - workingDir.toString() + "/actionSet" + workingDir.toString() + "/actionSet6" }); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .sequenceFile(workingDir.toString() + "/actionSet6", Text.class, Text.class) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(aa -> ((Relation) aa.getPayload())); @@ -306,13 +306,13 @@ public class CreateOpenCitationsASTest { "-inputPath", inputPath, "-outputPath", - workingDir.toString() + "/actionSet" + workingDir.toString() + "/actionSet7" }); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); JavaRDD 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())); diff --git a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala deleted file mode 100644 index f21e9eab1..000000000 --- a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala +++ /dev/null @@ -1,56 +0,0 @@ -package eu.dnetlib.dhp.datacite - - -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 -import org.junit.jupiter.api.{BeforeEach, Test} -import org.mockito.junit.jupiter.MockitoExtension - -import java.text.SimpleDateFormat -import java.util.Locale -import scala.io.Source - -@ExtendWith(Array(classOf[MockitoExtension])) -class DataciteToOAFTest extends AbstractVocabularyTest{ - - - @BeforeEach - def setUp() :Unit = { - - super.setUpVocabulary() - } - - - @Test - def testDateMapping:Unit = { - val inputDate = "2021-07-14T11:52:54+0000" - val ISO8601FORMAT = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssZ", Locale.US) - val dt = ISO8601FORMAT.parse(inputDate) - println(dt.getTime) - - - } - - - @Test - def testMapping() :Unit = { - val record =Source.fromInputStream(getClass.getResourceAsStream("record.json")).mkString - - - - val mapper = new ObjectMapper().enable(SerializationFeature.INDENT_OUTPUT) - val res:List[Oaf] =DataciteToOAFTransformation.generateOAF(record, 0L,0L, vocabularies, true ) - - res.foreach(r => { - println (mapper.writeValueAsString(r)) - println("----------------------------") - - }) - - - - } - -} \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/datacite/dataset/part-00000.parquet b/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/datacite/dataset/part-00000.parquet new file mode 100644 index 000000000..ee59c325e Binary files /dev/null and b/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/datacite/dataset/part-00000.parquet differ diff --git a/dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala b/dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala new file mode 100644 index 000000000..5bb6ba67d --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala @@ -0,0 +1,114 @@ +package eu.dnetlib.dhp.datacite + + +import com.fasterxml.jackson.databind.{ObjectMapper, SerializationFeature} +import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest +import eu.dnetlib.dhp.schema.oaf.Oaf +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 +import org.slf4j.{Logger, LoggerFactory} + +import java.nio.file.{Files, Path} +import java.text.SimpleDateFormat +import java.util.Locale +import scala.io.Source + +@ExtendWith(Array(classOf[MockitoExtension])) +class DataciteToOAFTest extends AbstractVocabularyTest{ + + private var workingDir:Path = null + val log: Logger = LoggerFactory.getLogger(getClass) + + @BeforeEach + def setUp() :Unit = { + + workingDir= Files.createTempDirectory(getClass.getSimpleName) + super.setUpVocabulary() + } + + @AfterEach + def tearDown() :Unit = { + FileUtils.deleteDirectory(workingDir.toFile) + } + + + @Test + def testDateMapping:Unit = { + val inputDate = "2021-07-14T11:52:54+0000" + val ISO8601FORMAT = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssZ", Locale.US) + val dt = ISO8601FORMAT.parse(inputDate) + println(dt.getTime) + + + } + + + @Test + def testConvert(): Unit = { + + + val path = getClass.getResource("/eu/dnetlib/dhp/actionmanager/datacite/dataset").getPath + + val conf = new SparkConf() + val spark:SparkSession = SparkSession.builder().config(conf) + .appName(getClass.getSimpleName) + .master("local[*]") + .getOrCreate() + + + + implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf] + val instance = new GenerateDataciteDatasetSpark(null, null, log) + val targetPath = s"$workingDir/result" + + instance.generateDataciteDataset(path, exportLinks = true, vocabularies,targetPath, spark) + + import spark.implicits._ + + val nativeSize =spark.read.load(path).count() + + + assertEquals(100, nativeSize) + + val result:Dataset[Oaf] = spark.read.load(targetPath).as[Oaf] + + + result.map(s => s.getClass.getSimpleName).groupBy(col("value").alias("class")).agg(count("value").alias("Total")).show(false) + + val t = spark.read.load(targetPath).count() + + assertTrue(t >0) + + + spark.stop() + + + + + } + + + @Test + def testMapping() :Unit = { + val record =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/record.json")).mkString + + val mapper = new ObjectMapper().enable(SerializationFeature.INDENT_OUTPUT) + val res:List[Oaf] =DataciteToOAFTransformation.generateOAF(record, 0L,0L, vocabularies, true ) + + res.foreach(r => { + println (mapper.writeValueAsString(r)) + println("----------------------------") + + }) + + + + } + +} \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/sx/bio/BioScholixTest.scala b/dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/sx/bio/BioScholixTest.scala similarity index 100% rename from dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/sx/bio/BioScholixTest.scala rename to dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/sx/bio/BioScholixTest.scala diff --git a/dhp-workflows/dhp-blacklist/src/main/java/eu/dnetlib/dhp/blacklist/ReadBlacklistFromDB.java b/dhp-workflows/dhp-blacklist/src/main/java/eu/dnetlib/dhp/blacklist/ReadBlacklistFromDB.java index 7d0d6b0b8..380991526 100644 --- a/dhp-workflows/dhp-blacklist/src/main/java/eu/dnetlib/dhp/blacklist/ReadBlacklistFromDB.java +++ b/dhp-workflows/dhp-blacklist/src/main/java/eu/dnetlib/dhp/blacklist/ReadBlacklistFromDB.java @@ -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()); diff --git a/dhp-workflows/dhp-blacklist/src/test/java/eu/dnetlib/dhp/blacklist/BlacklistRelationTest.java b/dhp-workflows/dhp-blacklist/src/test/java/eu/dnetlib/dhp/blacklist/BlacklistRelationTest.java new file mode 100644 index 000000000..160658e5b --- /dev/null +++ b/dhp-workflows/dhp-blacklist/src/test/java/eu/dnetlib/dhp/blacklist/BlacklistRelationTest.java @@ -0,0 +1,38 @@ + +package eu.dnetlib.dhp.blacklist; + +import java.util.Arrays; +import java.util.List; + +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Test; + +import eu.dnetlib.dhp.schema.common.ModelSupport; +import eu.dnetlib.dhp.schema.common.RelationInverse; + +public class BlacklistRelationTest { + + @Test + public void testRelationInverseLookup() { + + final List rels = Arrays + .asList( + "resultResult_relationship_IsRelatedTo", + "resultOrganization_affiliation_isAuthorInstitutionOf", + "resultOrganization_affiliation_hasAuthorInstitution", + "datasourceOrganization_provision_isProvidedBy", + "projectOrganization_participation_hasParticipant", + "resultProject_outcome_produces", + "resultProject_outcome_isProducedBy"); + + rels.forEach(r -> { + RelationInverse inverse = ModelSupport.relationInverseMap.get(r); + Assertions.assertNotNull(inverse); + Assertions.assertNotNull(inverse.getRelType()); + Assertions.assertNotNull(inverse.getSubReltype()); + Assertions.assertNotNull(inverse.getRelClass()); + }); + + } + +} diff --git a/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/UpdateMatcherTest.java b/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/UpdateMatcherTest.java index 45bfc785f..52e9917bb 100644 --- a/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/UpdateMatcherTest.java +++ b/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/UpdateMatcherTest.java @@ -19,7 +19,7 @@ import eu.dnetlib.dhp.broker.oa.matchers.simple.EnrichMissingPublicationDate; import eu.dnetlib.dhp.broker.oa.util.UpdateInfo; @ExtendWith(MockitoExtension.class) -class UpdateMatcherTest { +public class UpdateMatcherTest { UpdateMatcher matcher = new EnrichMissingPublicationDate(); diff --git a/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/simple/EnrichMissingPublicationDateTest.java b/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/simple/EnrichMissingPublicationDateTest.java index 550ded9f4..5af81a31a 100644 --- a/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/simple/EnrichMissingPublicationDateTest.java +++ b/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/simple/EnrichMissingPublicationDateTest.java @@ -11,7 +11,7 @@ import org.junit.jupiter.api.Test; import eu.dnetlib.broker.objects.OaBrokerMainEntity; -class EnrichMissingPublicationDateTest { +public class EnrichMissingPublicationDateTest { final EnrichMissingPublicationDate matcher = new EnrichMissingPublicationDate(); diff --git a/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/SubscriptionUtilsTest.java b/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/SubscriptionUtilsTest.java index b532aa9f7..d93390e4a 100644 --- a/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/SubscriptionUtilsTest.java +++ b/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/SubscriptionUtilsTest.java @@ -8,7 +8,7 @@ import java.util.Arrays; import org.junit.jupiter.api.Test; -class SubscriptionUtilsTest { +public class SubscriptionUtilsTest { @Test void testVerifyListSimilar() { diff --git a/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/TrustUtilsTest.java b/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/TrustUtilsTest.java index a8bc03e31..117bdeef4 100644 --- a/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/TrustUtilsTest.java +++ b/dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/TrustUtilsTest.java @@ -9,7 +9,7 @@ import eu.dnetlib.broker.objects.OaBrokerAuthor; import eu.dnetlib.broker.objects.OaBrokerMainEntity; import eu.dnetlib.broker.objects.OaBrokerTypedValue; -class TrustUtilsTest { +public class TrustUtilsTest { private static final double THRESHOLD = 0.95; diff --git a/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/AbstractSparkAction.java b/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/AbstractSparkAction.java index 6a9b21b00..136413376 100644 --- a/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/AbstractSparkAction.java +++ b/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/AbstractSparkAction.java @@ -139,14 +139,28 @@ abstract class AbstractSparkAction implements Serializable { protected boolean isOpenorgs(Relation rel) { return Optional .ofNullable(rel.getCollectedfrom()) - .map( - c -> c - .stream() - .filter(Objects::nonNull) - .anyMatch(kv -> ModelConstants.OPENORGS_NAME.equals(kv.getValue()))) + .map(c -> isCollectedFromOpenOrgs(c)) .orElse(false); } + protected boolean isOpenorgsDedupRel(Relation rel) { + return isOpenorgs(rel) && isOpenOrgsDedupMergeRelation(rel); + } + + private boolean isCollectedFromOpenOrgs(List c) { + return c + .stream() + .filter(Objects::nonNull) + .anyMatch(kv -> ModelConstants.OPENORGS_NAME.equals(kv.getValue())); + } + + private boolean isOpenOrgsDedupMergeRelation(Relation rel) { + return ModelConstants.ORG_ORG_RELTYPE.equals(rel.getRelType()) && + ModelConstants.DEDUP.equals(rel.getSubRelType()) + && (ModelConstants.IS_MERGED_IN.equals(rel.getRelClass()) || + ModelConstants.MERGES.equals(rel.getRelClass())); + } + protected static Boolean parseECField(Field field) { if (field == null) return null; diff --git a/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCopyRelationsNoOpenorgs.java b/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCopyRelationsNoOpenorgs.java index 9cc003bf6..62cbb5bff 100644 --- a/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCopyRelationsNoOpenorgs.java +++ b/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCopyRelationsNoOpenorgs.java @@ -61,7 +61,7 @@ public class SparkCopyRelationsNoOpenorgs extends AbstractSparkAction { .textFile(relationPath) .map(patchRelFn(), Encoders.bean(Relation.class)) .toJavaRDD() - .filter(x -> !isOpenorgs(x)); + .filter(x -> !isOpenorgsDedupRel(x)); if (log.isDebugEnabled()) { log.debug("Number of non-Openorgs relations collected: {}", simRels.count()); diff --git a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkOpenorgsProvisionTest.java b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkOpenorgsProvisionTest.java index 2349ffebe..2a9f34dee 100644 --- a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkOpenorgsProvisionTest.java +++ b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkOpenorgsProvisionTest.java @@ -11,6 +11,8 @@ import java.io.IOException; import java.io.Serializable; import java.net.URISyntaxException; import java.nio.file.Paths; +import java.util.List; +import java.util.stream.Collectors; import org.apache.commons.io.FileUtils; import org.apache.commons.io.IOUtils; @@ -29,6 +31,8 @@ import org.mockito.Mock; import org.mockito.Mockito; import org.mockito.junit.jupiter.MockitoExtension; +import com.fasterxml.jackson.databind.ObjectMapper; + import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.schema.oaf.Relation; import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException; @@ -226,9 +230,10 @@ public class SparkOpenorgsProvisionTest implements Serializable { new SparkCopyRelationsNoOpenorgs(parser, spark).run(isLookUpService); - long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count(); + final JavaRDD rels = jsc.textFile(testDedupGraphBasePath + "/relation"); + + assertEquals(2382, rels.count()); - assertEquals(2380, relations); } @Test @@ -250,7 +255,7 @@ public class SparkOpenorgsProvisionTest implements Serializable { long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count(); - assertEquals(4894, relations); + assertEquals(4896, relations); // check deletedbyinference final Dataset mergeRels = spark diff --git a/dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/openorgs/provision/relation/part-00000 b/dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/openorgs/provision/relation/part-00000 index 67d491ca2..35d92089d 100644 --- a/dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/openorgs/provision/relation/part-00000 +++ b/dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/openorgs/provision/relation/part-00000 @@ -2518,3 +2518,5 @@ {"subRelType": "dedup", "relClass": "isMergedIn", "dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:entityregistry", "classname": "sysimport:crosswalk:entityregistry", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": "0.990"}, "target": "20|openorgs____::5c351d85f02db01ca291acd119f0bd78", "lastupdatetimestamp": 1617801137807, "relType": "organizationOrganization", "source": "20|opendoar____::37248e2f6987b18670dd2b8a51d6ef55", "validationDate": null, "collectedfrom": [{"dataInfo": null, "key": "10|openaire____::0362fcdb3076765d9c0041ad331553e8", "value": "OpenOrgs Database"}], "validated": false, "properties": []} {"subRelType": "dedup", "relClass": "merges", "dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:entityregistry", "classname": "sysimport:crosswalk:entityregistry", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": "0.990"}, "target": "20|corda_______::6acb33e6ea8c6fcdabc891c80d083c64", "lastupdatetimestamp": 1617801137807, "relType": "organizationOrganization", "source": "20|openorgs____::e38c1a27fcb0f0ab218828e4f5fc7be9", "validationDate": null, "collectedfrom": [{"dataInfo": null, "key": "10|openaire____::0362fcdb3076765d9c0041ad331553e8", "value": "OpenOrgs Database"}], "validated": false, "properties": []} {"subRelType": "dedup", "relClass": "isMergedIn", "dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:entityregistry", "classname": "sysimport:crosswalk:entityregistry", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": "0.990"}, "target": "20|openorgs____::e38c1a27fcb0f0ab218828e4f5fc7be9", "lastupdatetimestamp": 1617801137807, "relType": "organizationOrganization", "source": "20|corda_______::6acb33e6ea8c6fcdabc891c80d083c64", "validationDate": null, "collectedfrom": [{"dataInfo": null, "key": "10|openaire____::0362fcdb3076765d9c0041ad331553e8", "value": "OpenOrgs Database"}], "validated": false, "properties": []} +{"subRelType": "relationship", "relClass": "IsParentOf", "dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:entityregistry", "classname": "sysimport:crosswalk:entityregistry", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": "0.990"}, "target": "20|openorgs____::e38c1a27fcb0f0ab218828e4f5fc7be9", "lastupdatetimestamp": 1617801137807, "relType": "organizationOrganization", "source": "20|corda_______::6acb33e6ea8c6fcdabc891c80d083c64", "validationDate": null, "collectedfrom": [{"dataInfo": null, "key": "10|openaire____::0362fcdb3076765d9c0041ad331553e8", "value": "OpenOrgs Database"}], "validated": false, "properties": []} +{"subRelType": "relationship", "relClass": "IsChildOf", "dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:entityregistry", "classname": "sysimport:crosswalk:entityregistry", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": "0.990"}, "target": "20|corda_______::6acb33e6ea8c6fcdabc891c80d083c64", "lastupdatetimestamp": 1617801137807, "relType": "organizationOrganization", "source": "20|openorgs____::e38c1a27fcb0f0ab218828e4f5fc7be9", "validationDate": null, "collectedfrom": [{"dataInfo": null, "key": "10|openaire____::0362fcdb3076765d9c0041ad331553e8", "value": "OpenOrgs Database"}], "validated": false, "properties": []} diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala similarity index 97% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala index efd5d2497..3822f40b5 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala @@ -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._ diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala similarity index 63% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala index 3bfca0859..f13900abe 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala @@ -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() @@ -33,53 +34,41 @@ object SparkGenerateDOIBoostActionSet { implicit val mapEncoderAtomiAction: Encoder[AtomicAction[OafDataset]] = Encoders.kryo[AtomicAction[OafDataset]] - val dbPublicationPath = parser.get("dbPublicationPath") - val dbDatasetPath = parser.get("dbDatasetPath") - val crossRefRelation = parser.get("crossRefRelation") - val dbaffiliationRelationPath = parser.get("dbaffiliationRelationPath") - val dbOrganizationPath = parser.get("dbOrganizationPath") - val sequenceFilePath = parser.get("sFilePath") + val dbPublicationPath = parser.get("dbPublicationPath") + val dbDatasetPath = parser.get("dbDatasetPath") + val crossRefRelation = parser.get("crossRefRelation") + val dbaffiliationRelationPath = parser.get("dbaffiliationRelationPath") + val dbOrganizationPath = parser.get("dbOrganizationPath") + val sequenceFilePath = parser.get("sFilePath") val asDataset = spark.read.load(dbDatasetPath).as[OafDataset] .filter(p => p != null || p.getId != null) - .map(d =>DoiBoostMappingUtil.fixResult(d)) - .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) + .map(d => DoiBoostMappingUtil.fixResult(d)) + .map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) - val asPublication =spark.read.load(dbPublicationPath).as[Publication] + val asPublication = spark.read.load(dbPublicationPath).as[Publication] .filter(p => p != null || p.getId != null) - .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) + .map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) val asOrganization = spark.read.load(dbOrganizationPath).as[Organization] - .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) - + .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)) + .filter(r => r != null && r.getSource != null && r.getTarget != null) + .map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) val asRelAffiliation = spark.read.load(dbaffiliationRelationPath).as[Relation] - .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) - - - + .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]) - - - - - - - + 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]) } diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala similarity index 76% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala index 501073e74..91fe56cba 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala @@ -9,28 +9,26 @@ 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 { - def extractIdGRID(input:String):List[(String,String)] = { + def extractIdGRID(input: String): List[(String, String)] = { implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats lazy val json: org.json4s.JValue = parse(input) - val id:String = (json \ "id").extract[String] + val id: String = (json \ "id").extract[String] - val grids:List[String] = for { + val grids: List[String] = for { JObject(pid) <- json \ "pid" JField("qualifier", JObject(qualifier)) <- pid - JField("classid", JString(classid)) <-qualifier + JField("classid", JString(classid)) <- qualifier JField("value", JString(vl)) <- pid if classid == "GRID" } yield vl @@ -38,7 +36,6 @@ object SparkGenerateDoiBoost { } - def main(args: Array[String]): Unit = { val logger: Logger = LoggerFactory.getLogger(getClass) @@ -73,7 +70,7 @@ object SparkGenerateDoiBoost { if (a != null && a._2 != null) { b.mergeFrom(a._2) b.setId(a._1) - val authors =AuthorMerger.mergeAuthor(b.getAuthor, a._2.getAuthor) + val authors = AuthorMerger.mergeAuthor(b.getAuthor, a._2.getAuthor) b.setAuthor(authors) return b } @@ -87,11 +84,11 @@ object SparkGenerateDoiBoost { return b2 } else { - if (b2 != null ) { + if (b2 != null) { b1.mergeFrom(b2) - val authors =AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor) + val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor) b1.setAuthor(authors) - if (b2.getId!= null && b2.getId.nonEmpty) + if (b2.getId != null && b2.getId.nonEmpty) b1.setId(b2.getId) return b1 } @@ -118,10 +115,9 @@ 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"$workingDirPath/uwPublication").as[Publication].map(p => (p.getId, p)) - def applyMerge(item:((String, Publication), (String, Publication))) : Publication = - { + def applyMerge(item: ((String, Publication), (String, Publication))): Publication = { val crossrefPub = item._1._2 - if (item._2!= null) { + if (item._2 != null) { val otherPub = item._2._2 if (otherPub != null) { crossrefPub.mergeFrom(otherPub) @@ -130,6 +126,7 @@ object SparkGenerateDoiBoost { } crossrefPub } + crossrefPublication.joinWith(uwPublication, crossrefPublication("_1").equalTo(uwPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/firstJoin") logger.info("Phase 3) Join Result with ORCID") val fj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/firstJoin").as[Publication].map(p => (p.getId, p)) @@ -143,9 +140,9 @@ object SparkGenerateDoiBoost { sj.joinWith(magPublication, sj("_1").equalTo(magPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublication") - val doiBoostPublication: Dataset[(String,Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublication").as[Publication].filter(p=>DoiBoostMappingUtil.filterPublication(p)).map(DoiBoostMappingUtil.toISSNPair)(tupleForJoinEncoder) + val doiBoostPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublication").as[Publication].filter(p => DoiBoostMappingUtil.filterPublication(p)).map(DoiBoostMappingUtil.toISSNPair)(tupleForJoinEncoder) - val hostedByDataset : Dataset[(String, HostedByItemType)] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath).map(DoiBoostMappingUtil.toHostedByItem)) + val hostedByDataset: Dataset[(String, HostedByItemType)] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath).map(DoiBoostMappingUtil.toHostedByItem)) doiBoostPublication.joinWith(hostedByDataset, doiBoostPublication("_1").equalTo(hostedByDataset("_1")), "left") @@ -164,21 +161,20 @@ object SparkGenerateDoiBoost { val paperAffiliation = spark.read.load(paperAffiliationPath).select(col("AffiliationId").alias("affId"), col("PaperId")) - val a:Dataset[DoiBoostAffiliation] = paperAffiliation + val a: Dataset[DoiBoostAffiliation] = paperAffiliation .joinWith(affiliation, paperAffiliation("affId").equalTo(affiliation("AffiliationId"))) .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"$workingDirPath/doiBoostPublicationFiltered").as[Publication] - .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))(tupleForJoinEncoder).filter(s =>s._1!= null ) + val magPubs: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublicationFiltered").as[Publication] + .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))(tupleForJoinEncoder).filter(s => s._1 != null) - magPubs.joinWith(a,magPubs("_1").equalTo(a("PaperId"))).flatMap(item => { - val pub:Publication = item._1._2 + magPubs.joinWith(a, magPubs("_1").equalTo(a("PaperId"))).flatMap(item => { + val pub: Publication = item._1._2 val affiliation = item._2 - val affId:String = if (affiliation.GridId.isDefined) s"unresolved::grid::${affiliation.GridId.get.toLowerCase}" else DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString) - val r:Relation = new Relation + val affId: String = if (affiliation.GridId.isDefined) s"unresolved::grid::${affiliation.GridId.get.toLowerCase}" else DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString) + val r: Relation = new Relation r.setSource(pub.getId) r.setTarget(affId) r.setRelType(ModelConstants.RESULT_ORGANIZATION) @@ -186,7 +182,7 @@ object SparkGenerateDoiBoost { r.setSubRelType(ModelConstants.AFFILIATION) r.setDataInfo(pub.getDataInfo) r.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava) - val r1:Relation = new Relation + val r1: Relation = new Relation r1.setTarget(pub.getId) r1.setSource(affId) r1.setRelType(ModelConstants.RESULT_ORGANIZATION) @@ -198,33 +194,31 @@ 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 => { + val unresolvedRels: Dataset[(String, Relation)] = spark.read.load(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved").as[Relation].map(r => { if (r.getSource.startsWith("unresolved")) (r.getSource, r) else if (r.getTarget.startsWith("unresolved")) - (r.getTarget,r) - else + (r.getTarget, r) + else ("resolved", r) })(Encoders.tuple(Encoders.STRING, mapEncoderRel)) - val openaireOrganization:Dataset[(String,String)] = spark.read.text(openaireOrganizationPath).as[String].flatMap(s => extractIdGRID(s)).groupByKey(_._2).reduceGroups((x,y) => if (x != null) x else y ).map(_._2) + val openaireOrganization: Dataset[(String, String)] = spark.read.text(openaireOrganizationPath).as[String].flatMap(s => extractIdGRID(s)).groupByKey(_._2).reduceGroups((x, y) => if (x != null) x else y).map(_._2) - unresolvedRels.joinWith(openaireOrganization,unresolvedRels("_1").equalTo(openaireOrganization("_2"))) + unresolvedRels.joinWith(openaireOrganization, unresolvedRels("_1").equalTo(openaireOrganization("_2"))) .map { x => val currentRels = x._1._2 val currentOrgs = x._2 - if (currentOrgs!= null) - if(currentRels.getSource.startsWith("unresolved")) + if (currentOrgs != null) + if (currentRels.getSource.startsWith("unresolved")) currentRels.setSource(currentOrgs._1) else currentRels.setTarget(currentOrgs._1) - currentRels - }.filter(r=> !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved")).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation") + currentRels + }.filter(r => !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved")).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation") - magPubs.joinWith(a,magPubs("_1").equalTo(a("PaperId"))).map( item => { + magPubs.joinWith(a, magPubs("_1").equalTo(a("PaperId"))).map(item => { val affiliation = item._2 if (affiliation.GridId.isEmpty) { val o = new Organization @@ -241,7 +235,7 @@ object SparkGenerateDoiBoost { } else null - }).filter(o=> o!=null).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostOrganization") - } + }).filter(o => o != null).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostOrganization") + } } diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala similarity index 99% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala index 1b1c850ba..edca4a180 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala @@ -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) {} diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/CrossrefDataset.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/CrossrefDataset.scala similarity index 77% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/CrossrefDataset.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/CrossrefDataset.scala index 159b817c7..6a1c701af 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/CrossrefDataset.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/CrossrefDataset.scala @@ -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 @@ -17,12 +17,12 @@ object CrossrefDataset { val logger: Logger = LoggerFactory.getLogger(SparkMapDumpIntoOAF.getClass) - def to_item(input:String):CrossrefDT = { + def to_item(input: String): CrossrefDT = { implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats lazy val json: json4s.JValue = parse(input) - val ts:Long = (json \ "indexed" \ "timestamp").extract[Long] - val doi:String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String]) + val ts: Long = (json \ "indexed" \ "timestamp").extract[Long] + val doi: String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String]) CrossrefDT(doi, input, ts) } @@ -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) @@ -54,7 +53,7 @@ object CrossrefDataset { return b - if(a.timestamp >b.timestamp) { + if (a.timestamp > b.timestamp) { return a } b @@ -66,7 +65,7 @@ object CrossrefDataset { if (a == null) return b - if(a.timestamp >b.timestamp) { + if (a.timestamp > b.timestamp) { return a } b @@ -79,20 +78,20 @@ object CrossrefDataset { override def finish(reduction: CrossrefDT): CrossrefDT = reduction } - val workingPath:String = parser.get("workingPath") + val workingPath: String = parser.get("workingPath") - val main_ds:Dataset[CrossrefDT] = spark.read.load(s"$workingPath/crossref_ds").as[CrossrefDT] + val main_ds: Dataset[CrossrefDT] = spark.read.load(s"$workingPath/crossref_ds").as[CrossrefDT] val update = - spark.createDataset(spark.sparkContext.sequenceFile(s"$workingPath/index_update", classOf[IntWritable], classOf[Text]) - .map(i =>CrossrefImporter.decompressBlob(i._2.toString)) - .map(i =>to_item(i))) + spark.createDataset(spark.sparkContext.sequenceFile(s"$workingPath/index_update", classOf[IntWritable], classOf[Text]) + .map(i => CrossrefImporter.decompressBlob(i._2.toString)) + .map(i => to_item(i))) main_ds.union(update).groupByKey(_.doi) .agg(crossrefAggregator.toColumn) - .map(s=>s._2) + .map(s => s._2) .write.mode(SaveMode.Overwrite).save(s"$workingPath/crossref_ds_updated") } diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/GenerateCrossrefDataset.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/GenerateCrossrefDataset.scala similarity index 73% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/GenerateCrossrefDataset.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/GenerateCrossrefDataset.scala index 526ff7b3a..6d03abc25 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/GenerateCrossrefDataset.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/GenerateCrossrefDataset.scala @@ -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 @@ -24,11 +19,10 @@ 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) - val doi:String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String]) + val doi: String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String]) val timestamp: Long = (json \ "indexed" \ "timestamp").extract[Long] CrossrefDT(doi, meta, timestamp) @@ -51,14 +45,14 @@ object GenerateCrossrefDataset { import spark.implicits._ - val tmp : RDD[String] = sc.textFile(sourcePath,6000) + val tmp: RDD[String] = sc.textFile(sourcePath, 6000) spark.createDataset(tmp) .map(entry => crossrefElement(entry)) .write.mode(SaveMode.Overwrite).save(targetPath) -// .map(meta => crossrefElement(meta)) -// .toDS.as[CrossrefDT] -// .write.mode(SaveMode.Overwrite).save(targetPath) + // .map(meta => crossrefElement(meta)) + // .toDS.as[CrossrefDT] + // .write.mode(SaveMode.Overwrite).save(targetPath) } diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala similarity index 96% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala index c65916610..fa55b9fb9 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala @@ -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} diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/UnpackCrtossrefEntries.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/UnpackCrtossrefEntries.scala similarity index 88% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/UnpackCrtossrefEntries.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/UnpackCrtossrefEntries.scala index 95ecb568b..191c4587e 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/UnpackCrtossrefEntries.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/UnpackCrtossrefEntries.scala @@ -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 @@ -17,9 +17,7 @@ object UnpackCrtossrefEntries { val log: Logger = LoggerFactory.getLogger(UnpackCrtossrefEntries.getClass) - - - def extractDump(input:String):List[String] = { + 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) @@ -45,7 +42,7 @@ object UnpackCrtossrefEntries { .getOrCreate() val sc: SparkContext = spark.sparkContext - sc.wholeTextFiles(sourcePath,6000).flatMap(d =>extractDump(d._2)) + sc.wholeTextFiles(sourcePath, 6000).flatMap(d => extractDump(d._2)) .saveAsTextFile(targetPath, classOf[GzipCodec]) diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/MagDataModel.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/MagDataModel.scala similarity index 100% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/MagDataModel.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/MagDataModel.scala index fd9629024..0a6fa00f0 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/MagDataModel.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/MagDataModel.scala @@ -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 diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkImportMagIntoDataset.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/SparkImportMagIntoDataset.scala similarity index 98% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkImportMagIntoDataset.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/SparkImportMagIntoDataset.scala index a68d0bb2d..d25a4893f 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkImportMagIntoDataset.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/SparkImportMagIntoDataset.scala @@ -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 { @@ -24,13 +24,13 @@ object SparkImportMagIntoDataset { "Affiliations" -> Tuple2("mag/Affiliations.txt", Seq("AffiliationId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "GridId:string", "OfficialPage:string", "WikiPage:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "Iso3166Code:string", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")), "AuthorExtendedAttributes" -> Tuple2("mag/AuthorExtendedAttributes.txt", Seq("AuthorId:long", "AttributeType:int", "AttributeValue:string")), "Authors" -> Tuple2("mag/Authors.txt", Seq("AuthorId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "LastKnownAffiliationId:long?", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")), - "ConferenceInstances" -> Tuple2("mag/ConferenceInstances.txt", Seq("ConferenceInstanceId:long", "NormalizedName:string", "DisplayName:string", "ConferenceSeriesId:long", "Location:string", "OfficialUrl:string", "StartDate:DateTime?", "EndDate:DateTime?", "AbstractRegistrationDate:DateTime?", "SubmissionDeadlineDate:DateTime?", "NotificationDueDate:DateTime?", "FinalVersionDueDate:DateTime?", "PaperCount:long", "PaperFamilyCount:long" ,"CitationCount:long", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")), + "ConferenceInstances" -> Tuple2("mag/ConferenceInstances.txt", Seq("ConferenceInstanceId:long", "NormalizedName:string", "DisplayName:string", "ConferenceSeriesId:long", "Location:string", "OfficialUrl:string", "StartDate:DateTime?", "EndDate:DateTime?", "AbstractRegistrationDate:DateTime?", "SubmissionDeadlineDate:DateTime?", "NotificationDueDate:DateTime?", "FinalVersionDueDate:DateTime?", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")), "ConferenceSeries" -> Tuple2("mag/ConferenceSeries.txt", Seq("ConferenceSeriesId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")), "EntityRelatedEntities" -> Tuple2("advanced/EntityRelatedEntities.txt", Seq("EntityId:long", "EntityType:string", "RelatedEntityId:long", "RelatedEntityType:string", "RelatedType:int", "Score:float")), "FieldOfStudyChildren" -> Tuple2("advanced/FieldOfStudyChildren.txt", Seq("FieldOfStudyId:long", "ChildFieldOfStudyId:long")), "FieldOfStudyExtendedAttributes" -> Tuple2("advanced/FieldOfStudyExtendedAttributes.txt", Seq("FieldOfStudyId:long", "AttributeType:int", "AttributeValue:string")), "FieldsOfStudy" -> Tuple2("advanced/FieldsOfStudy.txt", Seq("FieldOfStudyId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "MainType:string", "Level:int", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")), - "Journals" -> Tuple2("mag/Journals.txt", Seq("JournalId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "Issn:string", "Publisher:string", "Webpage:string", "PaperCount:long", "PaperFamilyCount:long" ,"CitationCount:long", "CreatedDate:DateTime")), + "Journals" -> Tuple2("mag/Journals.txt", Seq("JournalId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "Issn:string", "Publisher:string", "Webpage:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")), "PaperAbstractsInvertedIndex" -> Tuple2("nlp/PaperAbstractsInvertedIndex.txt.*", Seq("PaperId:long", "IndexedAbstract:string")), "PaperAuthorAffiliations" -> Tuple2("mag/PaperAuthorAffiliations.txt", Seq("PaperId:long", "AuthorId:long", "AffiliationId:long?", "AuthorSequenceNumber:uint", "OriginalAuthor:string", "OriginalAffiliation:string")), "PaperCitationContexts" -> Tuple2("nlp/PaperCitationContexts.txt", Seq("PaperId:long", "PaperReferenceId:long", "CitationContext:string")), @@ -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 diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala similarity index 90% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala index 016279787..41e95baa1 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala @@ -5,22 +5,19 @@ 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]={ + def getDistinctResults(d: Dataset[MagPapers]): Dataset[MagPapers] = { d.where(col("Doi").isNotNull) .groupByKey(mp => DoiBoostMappingUtil.normalizeDoi(mp.Doi))(Encoders.STRING) - .reduceGroups((p1:MagPapers,p2:MagPapers) => ConversionUtil.choiceLatestMagArtitcle(p1,p2)) + .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, @@ -98,13 +95,13 @@ object SparkProcessMAG { var magPubs: Dataset[(String, Publication)] = spark.read.load(s"$workingPath/merge_step_2").as[Publication] - .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)] + .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)] val conference = spark.read.load(s"$sourcePath/ConferenceInstances") - .select($"ConferenceInstanceId".as("ci"), $"DisplayName", $"Location", $"StartDate",$"EndDate" ) + .select($"ConferenceInstanceId".as("ci"), $"DisplayName", $"Location", $"StartDate", $"EndDate") val conferenceInstance = conference.joinWith(papers, papers("ConferenceInstanceId").equalTo(conference("ci"))) - .select($"_1.ci", $"_1.DisplayName", $"_1.Location", $"_1.StartDate",$"_1.EndDate", $"_2.PaperId").as[MagConferenceInstance] + .select($"_1.ci", $"_1.DisplayName", $"_1.Location", $"_1.StartDate", $"_1.EndDate", $"_2.PaperId").as[MagConferenceInstance] magPubs.joinWith(conferenceInstance, col("_1").equalTo(conferenceInstance("PaperId")), "left") @@ -122,7 +119,7 @@ object SparkProcessMAG { magPubs.joinWith(paperAbstract, col("_1").equalTo(paperAbstract("PaperId")), "left") .map(item => ConversionUtil.updatePubsWithDescription(item) - ).write.mode(SaveMode.Overwrite).save(s"$workingPath/merge_step_4") + ).write.mode(SaveMode.Overwrite).save(s"$workingPath/merge_step_4") logger.info("Phase 7) Enrich Publication with FieldOfStudy") @@ -146,13 +143,12 @@ object SparkProcessMAG { .save(s"$workingPath/mag_publication") spark.read.load(s"$workingPath/mag_publication").as[Publication] - .filter(p => p.getId == null) + .filter(p => p.getId != null) .groupByKey(p => p.getId) - .reduceGroups((a:Publication, b:Publication) => ConversionUtil.mergePublication(a,b)) + .reduceGroups((a: Publication, b: Publication) => ConversionUtil.mergePublication(a, b)) .map(_._2) .write.mode(SaveMode.Overwrite).save(s"$targetPath/magPublication") - } } diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala similarity index 98% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala index 1cd3f7028..11031f9ca 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala @@ -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]){} diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkConvertORCIDToOAF.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/SparkConvertORCIDToOAF.scala similarity index 84% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkConvertORCIDToOAF.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/SparkConvertORCIDToOAF.scala index fa4a93e00..1b189e296 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkConvertORCIDToOAF.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/SparkConvertORCIDToOAF.scala @@ -11,10 +11,10 @@ object SparkConvertORCIDToOAF { val logger: Logger = LoggerFactory.getLogger(SparkConvertORCIDToOAF.getClass) - def run(spark:SparkSession, workingPath:String, targetPath:String) :Unit = { + def run(spark: SparkSession, workingPath: String, targetPath: String): Unit = { implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication] import spark.implicits._ - val dataset: Dataset[ORCIDItem] =spark.read.load(s"$workingPath/orcidworksWithAuthor").as[ORCIDItem] + val dataset: Dataset[ORCIDItem] = spark.read.load(s"$workingPath/orcidworksWithAuthor").as[ORCIDItem] logger.info("Converting ORCID to OAF") dataset.map(o => ORCIDToOAF.convertTOOAF(o)).write.mode(SaveMode.Overwrite).save(targetPath) @@ -35,8 +35,8 @@ object SparkConvertORCIDToOAF { val workingPath = parser.get("workingPath") val targetPath = parser.get("targetPath") - run(spark,workingPath, targetPath) + run(spark, workingPath, targetPath) } -} \ No newline at end of file +} diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkPreprocessORCID.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/SparkPreprocessORCID.scala similarity index 67% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkPreprocessORCID.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/SparkPreprocessORCID.scala index 31f331912..153be5dd1 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkPreprocessORCID.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/orcid/SparkPreprocessORCID.scala @@ -1,48 +1,45 @@ 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 { val logger: Logger = LoggerFactory.getLogger(SparkConvertORCIDToOAF.getClass) - def fixORCIDItem(item :ORCIDItem):ORCIDItem = { - ORCIDItem(item.doi, item.authors.groupBy(_.oid).map(_._2.head).toList) + def fixORCIDItem(item: ORCIDItem): ORCIDItem = { + ORCIDItem(item.doi, item.authors.groupBy(_.oid).map(_._2.head).toList) } - def run(spark:SparkSession,sourcePath:String,workingPath:String):Unit = { + def run(spark: SparkSession, sourcePath: String, workingPath: String): Unit = { import spark.implicits._ implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication] - val inputRDD:RDD[OrcidAuthor] = spark.sparkContext.textFile(s"$sourcePath/authors").map(s => ORCIDToOAF.convertORCIDAuthor(s)).filter(s => s!= null).filter(s => ORCIDToOAF.authorValid(s)) + val inputRDD: RDD[OrcidAuthor] = spark.sparkContext.textFile(s"$sourcePath/authors").map(s => ORCIDToOAF.convertORCIDAuthor(s)).filter(s => s != null).filter(s => ORCIDToOAF.authorValid(s)) spark.createDataset(inputRDD).as[OrcidAuthor].write.mode(SaveMode.Overwrite).save(s"$workingPath/author") - val res = spark.sparkContext.textFile(s"$sourcePath/works").flatMap(s => ORCIDToOAF.extractDOIWorks(s)).filter(s => s!= null) + val res = spark.sparkContext.textFile(s"$sourcePath/works").flatMap(s => ORCIDToOAF.extractDOIWorks(s)).filter(s => s != null) spark.createDataset(res).as[OrcidWork].write.mode(SaveMode.Overwrite).save(s"$workingPath/works") - val authors :Dataset[OrcidAuthor] = spark.read.load(s"$workingPath/author").as[OrcidAuthor] + val authors: Dataset[OrcidAuthor] = spark.read.load(s"$workingPath/author").as[OrcidAuthor] - val works :Dataset[OrcidWork] = spark.read.load(s"$workingPath/works").as[OrcidWork] + val works: Dataset[OrcidWork] = spark.read.load(s"$workingPath/works").as[OrcidWork] works.joinWith(authors, authors("oid").equalTo(works("oid"))) - .map(i =>{ + .map(i => { val doi = i._1.doi val author = i._2 - (doi, author) - }).groupBy(col("_1").alias("doi")) + (doi, author) + }).groupBy(col("_1").alias("doi")) .agg(collect_list(col("_2")).alias("authors")).as[ORCIDItem] .map(s => fixORCIDItem(s)) .write.mode(SaveMode.Overwrite).save(s"$workingPath/orcidworksWithAuthor") @@ -67,4 +64,4 @@ object SparkPreprocessORCID { } -} \ No newline at end of file +} diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/uw/SparkMapUnpayWallToOAF.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/uw/SparkMapUnpayWallToOAF.scala similarity index 80% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/uw/SparkMapUnpayWallToOAF.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/uw/SparkMapUnpayWallToOAF.scala index 4530926f1..70290018d 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/uw/SparkMapUnpayWallToOAF.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/uw/SparkMapUnpayWallToOAF.scala @@ -1,16 +1,14 @@ package eu.dnetlib.doiboost.uw import eu.dnetlib.dhp.application.ArgumentApplicationParser - import eu.dnetlib.dhp.schema.oaf.Publication import eu.dnetlib.doiboost.crossref.SparkMapDumpIntoOAF import org.apache.commons.io.IOUtils import org.apache.spark.SparkConf import org.apache.spark.rdd.RDD -import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession} +import org.apache.spark.sql._ import org.slf4j.{Logger, LoggerFactory} - object SparkMapUnpayWallToOAF { def main(args: Array[String]): Unit = { @@ -32,11 +30,11 @@ object SparkMapUnpayWallToOAF { val sourcePath = parser.get("sourcePath") val targetPath = parser.get("targetPath") - val inputRDD:RDD[String] = spark.sparkContext.textFile(s"$sourcePath") + val inputRDD: RDD[String] = spark.sparkContext.textFile(s"$sourcePath") logger.info("Converting UnpayWall to OAF") - val d:Dataset[Publication] = spark.createDataset(inputRDD.map(UnpayWallToOAF.convertToOAF).filter(p=>p!=null)).as[Publication] + val d: Dataset[Publication] = spark.createDataset(inputRDD.map(UnpayWallToOAF.convertToOAF).filter(p => p != null)).as[Publication] d.write.mode(SaveMode.Overwrite).save(targetPath) } diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/uw/UnpayWallToOAF.scala b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/uw/UnpayWallToOAF.scala similarity index 98% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/uw/UnpayWallToOAF.scala rename to dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/uw/UnpayWallToOAF.scala index c8324cde1..bf5694965 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/uw/UnpayWallToOAF.scala +++ b/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/uw/UnpayWallToOAF.scala @@ -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 diff --git a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/dhp/doiboost/DoiBoostHostedByMapTest.scala b/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/dhp/doiboost/DoiBoostHostedByMapTest.scala deleted file mode 100644 index 4912648be..000000000 --- a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/dhp/doiboost/DoiBoostHostedByMapTest.scala +++ /dev/null @@ -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)) - - - } - - -} diff --git a/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/DoiBoostHostedByMapTest.scala b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/DoiBoostHostedByMapTest.scala new file mode 100644 index 000000000..41730ade0 --- /dev/null +++ b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/DoiBoostHostedByMapTest.scala @@ -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)) + + + } + + +} diff --git a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/dhp/doiboost/NormalizeDoiTest.scala b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/NormalizeDoiTest.scala similarity index 100% rename from dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/dhp/doiboost/NormalizeDoiTest.scala rename to dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/NormalizeDoiTest.scala diff --git a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/crossref/CrossrefMappingTest.scala b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/crossref/CrossrefMappingTest.scala similarity index 88% rename from dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/crossref/CrossrefMappingTest.scala rename to dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/crossref/CrossrefMappingTest.scala index 5ef92cfa4..71dbf27be 100644 --- a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/crossref/CrossrefMappingTest.scala +++ b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/crossref/CrossrefMappingTest.scala @@ -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) diff --git a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/mag/MAGMappingTest.scala b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/mag/MAGMappingTest.scala similarity index 88% rename from dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/mag/MAGMappingTest.scala rename to dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/mag/MAGMappingTest.scala index 46d4ec08d..611f3b323 100644 --- a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/mag/MAGMappingTest.scala +++ b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/mag/MAGMappingTest.scala @@ -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 diff --git a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/MappingORCIDToOAFTest.scala b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/orcid/MappingORCIDToOAFTest.scala similarity index 95% rename from dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/MappingORCIDToOAFTest.scala rename to dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/orcid/MappingORCIDToOAFTest.scala index b484dc087..7c8f01f81 100644 --- a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/MappingORCIDToOAFTest.scala +++ b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/orcid/MappingORCIDToOAFTest.scala @@ -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 => { diff --git a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/uw/UnpayWallMappingTest.scala b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/uw/UnpayWallMappingTest.scala similarity index 91% rename from dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/uw/UnpayWallMappingTest.scala rename to dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/uw/UnpayWallMappingTest.scala index fa696fffc..6671758b2 100644 --- a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/uw/UnpayWallMappingTest.scala +++ b/dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/uw/UnpayWallMappingTest.scala @@ -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) { diff --git a/dhp-workflows/dhp-enrichment/src/site/markdown/about.md b/dhp-workflows/dhp-enrichment/src/site/markdown/about.md new file mode 100644 index 000000000..c220c63b2 --- /dev/null +++ b/dhp-workflows/dhp-enrichment/src/site/markdown/about.md @@ -0,0 +1 @@ +#DHP Enrichment \ No newline at end of file diff --git a/dhp-workflows/dhp-enrichment/src/site/site.xml b/dhp-workflows/dhp-enrichment/src/site/site.xml new file mode 100644 index 000000000..dad0cd996 --- /dev/null +++ b/dhp-workflows/dhp-enrichment/src/site/site.xml @@ -0,0 +1,26 @@ + + + + org.apache.maven.skins + maven-fluido-skin + 1.8 + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanGraphSparkJob.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanGraphSparkJob.java index d43d7ce28..2e2ea567a 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanGraphSparkJob.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanGraphSparkJob.java @@ -88,7 +88,7 @@ public class CleanGraphSparkJob { readTableFromPath(spark, inputPath, clazz) .map((MapFunction) GraphCleaningFunctions::fixVocabularyNames, Encoders.bean(clazz)) .map((MapFunction) value -> OafCleaner.apply(value, mapping), Encoders.bean(clazz)) - .map((MapFunction) GraphCleaningFunctions::cleanup, Encoders.bean(clazz)) + .map((MapFunction) value -> GraphCleaningFunctions.cleanup(value, vocs), Encoders.bean(clazz)) .filter((FilterFunction) GraphCleaningFunctions::filter) .write() .mode(SaveMode.Overwrite) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/OafCleaner.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/OafCleaner.java index 5502fd391..102a1fa85 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/OafCleaner.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/OafCleaner.java @@ -30,6 +30,11 @@ public class OafCleaner implements Serializable { } } else if (hasMapping(o, mapping)) { mapping.get(o.getClass()).accept(o); + for (final Field f : getAllFields(o.getClass())) { + f.setAccessible(true); + final Object val = f.get(o); + navigate(val, mapping); + } } else { for (final Field f : getAllFields(o.getClass())) { f.setAccessible(true); diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hive/oozie_app/lib/scripts/postprocessing.sql b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hive/oozie_app/lib/scripts/postprocessing.sql index 46e0eb5e1..7eaec2e2c 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hive/oozie_app/lib/scripts/postprocessing.sql +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hive/oozie_app/lib/scripts/postprocessing.sql @@ -8,3 +8,12 @@ CREATE VIEW IF NOT EXISTS ${hiveDbName}.result as select id, originalid, dateofcollection, title, publisher, bestaccessright, datainfo, collectedfrom, pid, author, resulttype, language, country, subject, description, dateofacceptance, relevantdate, embargoenddate, resourcetype, context, externalreference, instance, measures from ${hiveDbName}.software s union all select id, originalid, dateofcollection, title, publisher, bestaccessright, datainfo, collectedfrom, pid, author, resulttype, language, country, subject, description, dateofacceptance, relevantdate, embargoenddate, resourcetype, context, externalreference, instance, measures from ${hiveDbName}.otherresearchproduct o; + +ANALYZE TABLE ${hiveDbName}.datasource COMPUTE STATISTICS; +ANALYZE TABLE ${hiveDbName}.organization COMPUTE STATISTICS; +ANALYZE TABLE ${hiveDbName}.project COMPUTE STATISTICS; +ANALYZE TABLE ${hiveDbName}.publication COMPUTE STATISTICS; +ANALYZE TABLE ${hiveDbName}.dataset COMPUTE STATISTICS; +ANALYZE TABLE ${hiveDbName}.otherresearchproduct COMPUTE STATISTICS; +ANALYZE TABLE ${hiveDbName}.software COMPUTE STATISTICS; +ANALYZE TABLE ${hiveDbName}.relation COMPUTE STATISTICS; \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hive/oozie_app/workflow.xml b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hive/oozie_app/workflow.xml index 09930336a..ba5f4f375 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hive/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hive/oozie_app/workflow.xml @@ -292,7 +292,7 @@ yarn cluster - Import table project + Import table relation eu.dnetlib.dhp.oa.graph.hive.GraphHiveTableImporterJob dhp-graph-mapper-${projectVersion}.jar diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/oozie_app/workflow.xml b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/oozie_app/workflow.xml index ceb13c5e8..3cd08bc9b 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/oozie_app/workflow.xml @@ -8,6 +8,15 @@ unresolvedPath the path of the unresolved Entities + + targetPath + the target path after resolution + + + shouldResolveEntities + true + allows to activate/deactivate the resolution process over the entities + @@ -36,11 +45,20 @@ --masteryarn --graphBasePath${graphBasePath} --workingPath${workingDir} + --targetPath${targetPath} - + + + + ${wf:conf('shouldResolveEntities') eq false} + ${wf:conf('shouldResolveEntities') eq true} + + + + yarn @@ -62,11 +80,91 @@ --graphBasePath${graphBasePath} --unresolvedPath${unresolvedPath} --workingPath${workingDir} + --targetPath${targetPath} - + - + + + + + + + + + ${nameNode}/${graphBasePath}/publication + ${nameNode}/${targetPath}/publication + + + + + + + + ${nameNode}/${graphBasePath}/dataset + ${nameNode}/${targetPath}/dataset + + + + + + + + ${nameNode}/${graphBasePath}/otherresearchproduct + ${nameNode}/${targetPath}/otherresearchproduct + + + + + + + + ${nameNode}/${graphBasePath}/software + ${nameNode}/${targetPath}/software + + + + + + + + + + + + + + + + ${nameNode}/${graphBasePath}/organization + ${nameNode}/${targetPath}/organization + + + + + + + + ${nameNode}/${graphBasePath}/project + ${nameNode}/${targetPath}/project + + + + + + + + ${nameNode}/${graphBasePath}/datasource + ${nameNode}/${targetPath}/datasource + + + + + + + + \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/resolve_entities_params.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/resolve_entities_params.json index f38cc1291..67e315664 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/resolve_entities_params.json +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/resolve_entities_params.json @@ -2,5 +2,6 @@ {"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true}, {"paramName":"w", "paramLongName":"workingPath", "paramDescription": "the source Path", "paramRequired": true}, {"paramName":"u", "paramLongName":"unresolvedPath", "paramDescription": "the source Path", "paramRequired": true}, - {"paramName":"g", "paramLongName":"graphBasePath", "paramDescription": "the path of the raw graph", "paramRequired": true} + {"paramName":"g", "paramLongName":"graphBasePath", "paramDescription": "the path of the raw graph", "paramRequired": true}, + {"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the target path", "paramRequired": true} ] \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/resolve_relations_params.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/resolve_relations_params.json index 1fbe20648..66a035da5 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/resolve_relations_params.json +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/resolve_relations_params.json @@ -1,5 +1,6 @@ [ {"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true}, {"paramName":"w", "paramLongName":"workingPath", "paramDescription": "the source Path", "paramRequired": true}, - {"paramName":"g", "paramLongName":"graphBasePath", "paramDescription": "the path of the raw graph", "paramRequired": true} + {"paramName":"g", "paramLongName":"graphBasePath", "paramDescription": "the path of the raw graph", "paramRequired": true}, + {"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the target path", "paramRequired": true} ] \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala similarity index 100% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala index ce383292c..ad4e1c96e 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala @@ -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) {} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala similarity index 81% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala index 1b18ba3ae..38af3eee4 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala @@ -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} @@ -52,18 +51,18 @@ object SparkApplyHostedByMapToDatasource { val mapper = new ObjectMapper() - val dats : Dataset[Datasource] = spark.read.textFile(graphPath + "/datasource") + val dats: Dataset[Datasource] = spark.read.textFile(graphPath + "/datasource") .map(r => mapper.readValue(r, classOf[Datasource])) - val pinfo : Dataset[EntityInfo] = Aggregators.datasourceToSingleId( spark.read.textFile(preparedInfoPath) + val pinfo: Dataset[EntityInfo] = Aggregators.datasourceToSingleId(spark.read.textFile(preparedInfoPath) .map(ei => mapper.readValue(ei, classOf[EntityInfo]))) - applyHBtoDats(pinfo, dats).write.mode(SaveMode.Overwrite).option("compression","gzip").json(outputPath) + applyHBtoDats(pinfo, dats).write.mode(SaveMode.Overwrite).option("compression", "gzip").json(outputPath) spark.read.textFile(outputPath) .write .mode(SaveMode.Overwrite) - .option("compression","gzip") + .option("compression", "gzip") .text(graphPath + "/datasource") } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala similarity index 83% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala index 0e047d016..204325982 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala @@ -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 = { @@ -67,18 +66,18 @@ object SparkApplyHostedByMapToResult { implicit val mapEncoderEinfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo]) val mapper = new ObjectMapper() - val pubs : Dataset[Publication] = spark.read.textFile(graphPath + "/publication") + val pubs: Dataset[Publication] = spark.read.textFile(graphPath + "/publication") .map(r => mapper.readValue(r, classOf[Publication])) - val pinfo : Dataset[EntityInfo] = spark.read.textFile(preparedInfoPath) - .map(ei => mapper.readValue(ei, classOf[EntityInfo])) + val pinfo: Dataset[EntityInfo] = spark.read.textFile(preparedInfoPath) + .map(ei => mapper.readValue(ei, classOf[EntityInfo])) - applyHBtoPubs(pinfo, pubs).write.mode(SaveMode.Overwrite).option("compression","gzip").json(outputPath) + applyHBtoPubs(pinfo, pubs).write.mode(SaveMode.Overwrite).option("compression", "gzip").json(outputPath) spark.read.textFile(outputPath) .write .mode(SaveMode.Overwrite) - .option("compression","gzip") + .option("compression", "gzip") .text(graphPath + "/publication") } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala similarity index 74% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala index b7a7d352f..87e203e4b 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala @@ -3,61 +3,58 @@ 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]) - def getList(id: String, j: Journal, name: String ) : List[EntityInfo] = { - var lst:List[EntityInfo] = List() + def getList(id: String, j: Journal, name: String): List[EntityInfo] = { + var lst: List[EntityInfo] = List() - if (j.getIssnLinking != null && !j.getIssnLinking.equals("")){ + if (j.getIssnLinking != null && !j.getIssnLinking.equals("")) { lst = EntityInfo.newInstance(id, j.getIssnLinking, name) :: lst } - if (j.getIssnOnline != null && !j.getIssnOnline.equals("")){ + if (j.getIssnOnline != null && !j.getIssnOnline.equals("")) { lst = EntityInfo.newInstance(id, j.getIssnOnline, name) :: lst } - if (j.getIssnPrinted != null && !j.getIssnPrinted.equals("")){ + if (j.getIssnPrinted != null && !j.getIssnPrinted.equals("")) { lst = EntityInfo.newInstance(id, j.getIssnPrinted, name) :: lst } lst } - def prepareResultInfo(spark:SparkSession, publicationPath:String) : Dataset[EntityInfo] = { + def prepareResultInfo(spark: SparkSession, publicationPath: String): Dataset[EntityInfo] = { implicit val mapEncoderPubs: Encoder[Publication] = Encoders.bean(classOf[Publication]) val mapper = new ObjectMapper() - val dd : Dataset[Publication] = spark.read.textFile(publicationPath) + val dd: Dataset[Publication] = spark.read.textFile(publicationPath) .map(r => mapper.readValue(r, classOf[Publication])) - dd.filter(p => p.getJournal != null ).flatMap(p => getList(p.getId, p.getJournal, "")) + dd.filter(p => p.getJournal != null).flatMap(p => getList(p.getId, p.getJournal, "")) } - def toEntityInfo(input:String): EntityInfo = { + def toEntityInfo(input: String): EntityInfo = { implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats lazy val json: json4s.JValue = parse(input) - val c :Map[String,HostedByItemType] = json.extract[Map[String, HostedByItemType]] + val c: Map[String, HostedByItemType] = json.extract[Map[String, HostedByItemType]] toEntityItem(c.keys.head, c.values.head) } - def toEntityItem(journal_id: String , hbi: HostedByItemType): EntityInfo = { + def toEntityItem(journal_id: String, hbi: HostedByItemType): EntityInfo = { EntityInfo.newInstance(hbi.id, journal_id, hbi.officialname, hbi.openAccess) @@ -67,7 +64,7 @@ object SparkPrepareHostedByInfoToApply { Aggregators.resultToSingleId(res.joinWith(hbm, res.col("journalId").equalTo(hbm.col("journalId")), "left") .map(t2 => { val res: EntityInfo = t2._1 - if(t2._2 != null ){ + if (t2._2 != null) { val ds = t2._2 res.setHostedById(ds.getId) res.setOpenAccess(ds.getOpenAccess) @@ -107,10 +104,10 @@ object SparkPrepareHostedByInfoToApply { //STEP1: read the hostedbymap and transform it in EntityInfo - val hostedByInfo:Dataset[EntityInfo] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath)).map(toEntityInfo) + val hostedByInfo: Dataset[EntityInfo] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath)).map(toEntityInfo) - //STEP2: create association (publication, issn), (publication, eissn), (publication, lissn) - val resultInfoDataset:Dataset[EntityInfo] = prepareResultInfo(spark, graphPath + "/publication") + //STEP2: create association (publication, issn), (publication, eissn), (publication, lissn) + val resultInfoDataset: Dataset[EntityInfo] = prepareResultInfo(spark, graphPath + "/publication") //STEP3: left join resultInfo with hostedByInfo on journal_id. Reduction of all the results with the same id in just //one entry (one result could be associated to issn and eissn and so possivly matching more than once against the map) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala similarity index 61% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala index 1ee1d5d1a..6dfe35623 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala @@ -1,41 +1,39 @@ 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 { implicit val tupleForJoinEncoder: Encoder[(String, HostedByItemType)] = Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType]) - def toHostedByItemType(input: ((HostedByInfo, HostedByInfo), HostedByInfo)) : HostedByItemType = { + def toHostedByItemType(input: ((HostedByInfo, HostedByInfo), HostedByInfo)): HostedByItemType = { val openaire: HostedByInfo = input._1._1 val doaj: HostedByInfo = input._1._2 val gold: HostedByInfo = input._2 val isOpenAccess: Boolean = doaj == null && gold == null openaire.journal_id match { - case Constants.ISSN => HostedByItemType(openaire.id, openaire.officialname, openaire.journal_id, "", "", isOpenAccess) - case Constants.EISSN => HostedByItemType(openaire.id, openaire.officialname, "", openaire.journal_id, "", isOpenAccess) - case Constants.ISSNL => HostedByItemType(openaire.id, openaire.officialname, "", "", openaire.journal_id, isOpenAccess) + case Constants.ISSN => HostedByItemType(openaire.id, openaire.officialname, openaire.journal_id, "", "", isOpenAccess) + case Constants.EISSN => HostedByItemType(openaire.id, openaire.officialname, "", openaire.journal_id, "", isOpenAccess) + case Constants.ISSNL => HostedByItemType(openaire.id, openaire.officialname, "", "", openaire.journal_id, isOpenAccess) // catch the default with a variable so you can print it - case whoa => null + case whoa => null } } @@ -44,7 +42,7 @@ object SparkProduceHostedByMap { implicit val formats = org.json4s.DefaultFormats - val map: Map [String, HostedByItemType] = Map (input._1 -> input._2 ) + val map: Map[String, HostedByItemType] = Map(input._1 -> input._2) Serialization.write(map) @@ -52,34 +50,33 @@ object SparkProduceHostedByMap { } - - def getHostedByItemType(id:String, officialname: String, issn:String, eissn:String, issnl:String, oa:Boolean): HostedByItemType = { - if(issn != null){ - if(eissn != null){ - if(issnl != null){ - HostedByItemType(id, officialname, issn, eissn, issnl , oa) - }else{ - HostedByItemType(id, officialname, issn, eissn, "" , oa) + def getHostedByItemType(id: String, officialname: String, issn: String, eissn: String, issnl: String, oa: Boolean): HostedByItemType = { + if (issn != null) { + if (eissn != null) { + if (issnl != null) { + HostedByItemType(id, officialname, issn, eissn, issnl, oa) + } else { + HostedByItemType(id, officialname, issn, eissn, "", oa) } - }else{ - if(issnl != null){ - HostedByItemType(id, officialname, issn, "", issnl , oa) - }else{ - HostedByItemType(id, officialname, issn, "", "" , oa) + } else { + if (issnl != null) { + HostedByItemType(id, officialname, issn, "", issnl, oa) + } else { + HostedByItemType(id, officialname, issn, "", "", oa) } } - }else{ - if(eissn != null){ - if(issnl != null){ - HostedByItemType(id, officialname, "", eissn, issnl , oa) - }else{ - HostedByItemType(id, officialname, "", eissn, "" , oa) + } else { + if (eissn != null) { + if (issnl != null) { + HostedByItemType(id, officialname, "", eissn, issnl, oa) + } else { + HostedByItemType(id, officialname, "", eissn, "", oa) } - }else{ - if(issnl != null){ - HostedByItemType(id, officialname, "", "", issnl , oa) - }else{ - HostedByItemType("", "", "", "", "" , oa) + } else { + if (issnl != null) { + HostedByItemType(id, officialname, "", "", issnl, oa) + } else { + HostedByItemType("", "", "", "", "", oa) } } } @@ -90,10 +87,10 @@ object SparkProduceHostedByMap { return getHostedByItemType(dats.getId, dats.getOfficialname.getValue, dats.getJournal.getIssnPrinted, dats.getJournal.getIssnOnline, dats.getJournal.getIssnLinking, false) } - HostedByItemType("","","","","",false) + HostedByItemType("", "", "", "", "", false) } - def oaHostedByDataset(spark:SparkSession, datasourcePath : String) : Dataset[HostedByItemType] = { + def oaHostedByDataset(spark: SparkSession, datasourcePath: String): Dataset[HostedByItemType] = { import spark.implicits._ @@ -102,10 +99,10 @@ object SparkProduceHostedByMap { implicit var encoderD = Encoders.kryo[Datasource] - val dd : Dataset[Datasource] = spark.read.textFile(datasourcePath) + val dd: Dataset[Datasource] = spark.read.textFile(datasourcePath) .map(r => mapper.readValue(r, classOf[Datasource])) - dd.map{ddt => oaToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals(""))) + dd.map { ddt => oaToHostedbyItemType(ddt) }.filter(hb => !(hb.id.equals(""))) } @@ -115,17 +112,17 @@ object SparkProduceHostedByMap { } - def goldHostedByDataset(spark:SparkSession, datasourcePath:String) : Dataset[HostedByItemType] = { + def goldHostedByDataset(spark: SparkSession, datasourcePath: String): Dataset[HostedByItemType] = { import spark.implicits._ implicit val mapEncoderUnibi: Encoder[UnibiGoldModel] = Encoders.kryo[UnibiGoldModel] val mapper = new ObjectMapper() - val dd : Dataset[UnibiGoldModel] = spark.read.textFile(datasourcePath) + val dd: Dataset[UnibiGoldModel] = spark.read.textFile(datasourcePath) .map(r => mapper.readValue(r, classOf[UnibiGoldModel])) - dd.map{ddt => goldToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals(""))) + dd.map { ddt => goldToHostedbyItemType(ddt) }.filter(hb => !(hb.id.equals(""))) } @@ -134,41 +131,40 @@ object SparkProduceHostedByMap { return getHostedByItemType(Constants.DOAJ, doaj.getJournalTitle, doaj.getIssn, doaj.getEissn, "", true) } - def doajHostedByDataset(spark:SparkSession, datasourcePath:String) : Dataset[HostedByItemType] = { + def doajHostedByDataset(spark: SparkSession, datasourcePath: String): Dataset[HostedByItemType] = { import spark.implicits._ implicit val mapEncoderDOAJ: Encoder[DOAJModel] = Encoders.kryo[DOAJModel] val mapper = new ObjectMapper() - val dd : Dataset[DOAJModel] = spark.read.textFile(datasourcePath) + val dd: Dataset[DOAJModel] = spark.read.textFile(datasourcePath) .map(r => mapper.readValue(r, classOf[DOAJModel])) - dd.map{ddt => doajToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals(""))) + dd.map { ddt => doajToHostedbyItemType(ddt) }.filter(hb => !(hb.id.equals(""))) } def toList(input: HostedByItemType): List[(String, HostedByItemType)] = { - var lst : List[(String, HostedByItemType)] = List() - if(!input.issn.equals("")){ + var lst: List[(String, HostedByItemType)] = List() + if (!input.issn.equals("")) { lst = (input.issn, input) :: lst } - if(!input.eissn.equals("")){ + if (!input.eissn.equals("")) { lst = (input.eissn, input) :: lst } - if(!input.lissn.equals("")){ + if (!input.lissn.equals("")) { lst = (input.lissn, input) :: lst } lst } - - def writeToHDFS(input: Array[String], outputPath: String, hdfsNameNode : String):Unit = { + def writeToHDFS(input: Array[String], outputPath: String, hdfsNameNode: String): Unit = { val conf = new Configuration() conf.set("fs.defaultFS", hdfsNameNode) - val fs= FileSystem.get(conf) + val fs = FileSystem.get(conf) val output = fs.create(new Path(outputPath)) val writer = new PrintWriter(output) try { @@ -182,7 +178,6 @@ object SparkProduceHostedByMap { } - def main(args: Array[String]): Unit = { val logger: Logger = LoggerFactory.getLogger(getClass) @@ -213,7 +208,7 @@ object SparkProduceHostedByMap { .union(doajHostedByDataset(spark, workingDirPath + "/doaj.json")) .flatMap(hbi => toList(hbi))).filter(hbi => hbi._2.id.startsWith("10|")) .map(hbi => toHostedByMap(hbi))(Encoders.STRING) - .rdd.saveAsTextFile(outputPath , classOf[GzipCodec]) + .rdd.saveAsTextFile(outputPath, classOf[GzipCodec]) } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplication.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplication.scala similarity index 88% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplication.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplication.scala index c7ad1890d..91d2bafe3 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplication.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplication.scala @@ -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 @@ -59,7 +53,7 @@ object CopyHdfsOafSparkApplication { if (validPaths.nonEmpty) { val oaf = spark.read.load(validPaths: _*).as[Oaf] val mapper = new ObjectMapper() - val l =ModelSupport.oafTypes.entrySet.asScala.map(e => e.getKey).toList + val l = ModelSupport.oafTypes.entrySet.asScala.map(e => e.getKey).toList l.foreach( e => oaf.filter(o => o.getClass.getSimpleName.equalsIgnoreCase(e)) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveEntities.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveEntities.scala similarity index 55% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveEntities.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveEntities.scala index 316b8afed..8e15063c2 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveEntities.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveEntities.scala @@ -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 @@ -14,7 +13,7 @@ import org.slf4j.{Logger, LoggerFactory} object SparkResolveEntities { val mapper = new ObjectMapper() - val entities = List(EntityType.dataset,EntityType.publication, EntityType.software, EntityType.otherresearchproduct) + val entities = List(EntityType.dataset, EntityType.publication, EntityType.software, EntityType.otherresearchproduct) def main(args: Array[String]): Unit = { val log: Logger = LoggerFactory.getLogger(getClass) @@ -36,25 +35,19 @@ object SparkResolveEntities { val unresolvedPath = parser.get("unresolvedPath") log.info(s"unresolvedPath -> $unresolvedPath") + val targetPath = parser.get("targetPath") + log.info(s"targetPath -> $targetPath") + + val fs = FileSystem.get(spark.sparkContext.hadoopConfiguration) fs.mkdirs(new Path(workingPath)) resolveEntities(spark, workingPath, unresolvedPath) - generateResolvedEntities(spark, workingPath, graphBasePath) - - // TO BE conservative we keep the original entities in the working dir - // and save the resolved entities on the graphBasePath - //In future these lines of code should be removed - entities.foreach { - e => - fs.rename(new Path(s"$graphBasePath/$e"), new Path(s"$workingPath/${e}_old")) - fs.rename(new Path(s"$workingPath/resolvedGraph/$e"), new Path(s"$graphBasePath/$e")) - } - -} + generateResolvedEntities(spark, workingPath, graphBasePath, targetPath) + } -def resolveEntities(spark: SparkSession, workingPath: String, unresolvedPath: String) = { + def resolveEntities(spark: SparkSession, workingPath: String, unresolvedPath: String) = { implicit val resEncoder: Encoder[Result] = Encoders.kryo(classOf[Result]) import spark.implicits._ @@ -71,37 +64,42 @@ def resolveEntities(spark: SparkSession, workingPath: String, unresolvedPath: St } - def deserializeObject(input:String, entity:EntityType ) :Result = { + def deserializeObject(input: String, entity: EntityType): Result = { - entity match { - case EntityType.publication => mapper.readValue(input, classOf[Publication]) - case EntityType.dataset => mapper.readValue(input, classOf[OafDataset]) - case EntityType.software=> mapper.readValue(input, classOf[Software]) - case EntityType.otherresearchproduct=> mapper.readValue(input, classOf[OtherResearchProduct]) - } + entity match { + case EntityType.publication => mapper.readValue(input, classOf[Publication]) + case EntityType.dataset => mapper.readValue(input, classOf[OafDataset]) + case EntityType.software => mapper.readValue(input, classOf[Software]) + case EntityType.otherresearchproduct => mapper.readValue(input, classOf[OtherResearchProduct]) + } } - def generateResolvedEntities(spark:SparkSession, workingPath: String, graphBasePath:String) = { + def generateResolvedEntities(spark: SparkSession, workingPath: String, graphBasePath: String, targetPath: String) = { implicit val resEncoder: Encoder[Result] = Encoders.kryo(classOf[Result]) import spark.implicits._ - val re:Dataset[Result] = spark.read.load(s"$workingPath/resolvedEntities").as[Result] + val re: Dataset[(String, Result)] = spark.read.load(s"$workingPath/resolvedEntities").as[Result].map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, resEncoder)) entities.foreach { - e => + e => { + + val currentEntityDataset: Dataset[(String, Result)] = spark.read.text(s"$graphBasePath/$e").as[String].map(s => deserializeObject(s, e)).map(r => (r.getId, r))(Encoders.tuple(Encoders.STRING, resEncoder)) + + currentEntityDataset.joinWith(re, currentEntityDataset("_1").equalTo(re("_1")), "left").map(k => { + + val a = k._1 + val b = k._2 + if (b == null) + a._2 + else { + a._2.mergeFrom(b._2) + a._2 + } + }).map(r => mapper.writeValueAsString(r))(Encoders.STRING) + .write.mode(SaveMode.Overwrite).option("compression", "gzip").text(s"$targetPath/$e") + } + - spark.read.text(s"$graphBasePath/$e").as[String] - .map(s => deserializeObject(s, e)) - .union(re) - .groupByKey(_.getId) - .reduceGroups { - (x, y) => - x.mergeFrom(y) - x - }.map(_._2) - .filter(r => r.getClass.getSimpleName.toLowerCase != "result") - .map(r => mapper.writeValueAsString(r))(Encoders.STRING) - .write.mode(SaveMode.Overwrite).option("compression", "gzip").text(s"$workingPath/resolvedGraph/$e") } } } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveRelation.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveRelation.scala similarity index 93% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveRelation.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveRelation.scala index cd517dd5e..80c09940f 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveRelation.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/resolution/SparkResolveRelation.scala @@ -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} @@ -35,6 +35,9 @@ object SparkResolveRelation { val workingPath = parser.get("workingPath") log.info(s"workingPath -> $workingPath") + val targetPath = parser.get("targetPath") + log.info(s"targetPath -> $targetPath") + implicit val relEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation]) import spark.implicits._ @@ -80,20 +83,13 @@ object SparkResolveRelation { .mode(SaveMode.Overwrite) .save(s"$workingPath/relation_resolved") - - // TO BE conservative we keep the original relation in the working dir - // and save the relation resolved on the graphBasePath - //In future this two line of code should be removed - - fs.rename(new Path(s"$graphBasePath/relation"), new Path(s"$workingPath/relation")) - spark.read.load(s"$workingPath/relation_resolved").as[Relation] .filter(r => !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved")) .map(r => mapper.writeValueAsString(r)) .write .option("compression", "gzip") .mode(SaveMode.Overwrite) - .text(s"$graphBasePath/relation") + .text(s"$targetPath/relation") } def extractInstanceCF(input: String): List[(String, String)] = { diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/sx/graphimport/SparkDataciteToOAF.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/sx/graphimport/SparkDataciteToOAF.scala similarity index 96% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/sx/graphimport/SparkDataciteToOAF.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/sx/graphimport/SparkDataciteToOAF.scala index 9e905d806..9df3b41bd 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/sx/graphimport/SparkDataciteToOAF.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/sx/graphimport/SparkDataciteToOAF.scala @@ -18,7 +18,6 @@ object SparkDataciteToOAF { .config(conf) .appName(getClass.getSimpleName) .master(parser.get("master")).getOrCreate() - import spark.implicits._ val sc = spark.sparkContext diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertDatasetToJsonRDD.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertDatasetToJsonRDD.scala similarity index 69% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertDatasetToJsonRDD.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertDatasetToJsonRDD.scala index 3ee0c7dd6..9d16cf907 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertDatasetToJsonRDD.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertDatasetToJsonRDD.scala @@ -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 @@ -29,13 +29,13 @@ object SparkConvertDatasetToJsonRDD { val targetPath = parser.get("targetPath") log.info(s"targetPath -> $targetPath") - val resultObject = List("publication","dataset","software", "otherResearchProduct") + val resultObject = List("publication", "dataset", "software", "otherResearchProduct") val mapper = new ObjectMapper() - implicit val oafEncoder: Encoder[Result] = Encoders.kryo(classOf[Result]) + implicit val oafEncoder: Encoder[Result] = Encoders.kryo(classOf[Result]) - resultObject.foreach{item => - spark.read.load(s"$sourcePath/$item").as[Result].map(r=> mapper.writeValueAsString(r))(Encoders.STRING).rdd.saveAsTextFile(s"$targetPath/${item.toLowerCase}", classOf[GzipCodec]) + resultObject.foreach { item => + spark.read.load(s"$sourcePath/$item").as[Result].map(r => mapper.writeValueAsString(r))(Encoders.STRING).rdd.saveAsTextFile(s"$targetPath/${item.toLowerCase}", classOf[GzipCodec]) } } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertObjectToJson.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertObjectToJson.scala similarity index 83% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertObjectToJson.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertObjectToJson.scala index 846ac37af..cc1b97fd6 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertObjectToJson.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertObjectToJson.scala @@ -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 { @@ -32,8 +32,8 @@ object SparkConvertObjectToJson { log.info(s"objectType -> $objectType") - implicit val scholixEncoder :Encoder[Scholix]= Encoders.kryo[Scholix] - implicit val summaryEncoder :Encoder[ScholixSummary]= Encoders.kryo[ScholixSummary] + implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo[Scholix] + implicit val summaryEncoder: Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary] val mapper = new ObjectMapper @@ -42,11 +42,11 @@ object SparkConvertObjectToJson { case "scholix" => log.info("Serialize Scholix") val d: Dataset[Scholix] = spark.read.load(sourcePath).as[Scholix] - d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(6000).saveAsTextFile(targetPath, classOf[GzipCodec]) + d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(6000).saveAsTextFile(targetPath, classOf[GzipCodec]) case "summary" => log.info("Serialize Summary") val d: Dataset[ScholixSummary] = spark.read.load(sourcePath).as[ScholixSummary] - d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(1000).saveAsTextFile(targetPath, classOf[GzipCodec]) + d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(1000).saveAsTextFile(targetPath, classOf[GzipCodec]) } } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala similarity index 62% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala index 4b82fe645..23f039c70 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala @@ -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 = { @@ -31,39 +32,39 @@ object SparkConvertRDDtoDataset { val entityPath = s"$t/entities" val relPath = s"$t/relation" val mapper = new ObjectMapper() - implicit val datasetEncoder: Encoder[OafDataset] = Encoders.kryo(classOf[OafDataset]) - implicit val publicationEncoder: Encoder[Publication] = Encoders.kryo(classOf[Publication]) - implicit val relationEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation]) - implicit val orpEncoder: Encoder[OtherResearchProduct] = Encoders.kryo(classOf[OtherResearchProduct]) - implicit val softwareEncoder: Encoder[Software] = Encoders.kryo(classOf[Software]) + implicit val datasetEncoder: Encoder[OafDataset] = Encoders.kryo(classOf[OafDataset]) + implicit val publicationEncoder: Encoder[Publication] = Encoders.kryo(classOf[Publication]) + implicit val relationEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation]) + implicit val orpEncoder: Encoder[OtherResearchProduct] = Encoders.kryo(classOf[OtherResearchProduct]) + implicit val softwareEncoder: Encoder[Software] = Encoders.kryo(classOf[Software]) log.info("Converting dataset") - val rddDataset =spark.sparkContext.textFile(s"$sourcePath/dataset").map(s => mapper.readValue(s, classOf[OafDataset])) + val rddDataset = spark.sparkContext.textFile(s"$sourcePath/dataset").map(s => mapper.readValue(s, classOf[OafDataset])) spark.createDataset(rddDataset).as[OafDataset].write.mode(SaveMode.Overwrite).save(s"$entityPath/dataset") log.info("Converting publication") - val rddPublication =spark.sparkContext.textFile(s"$sourcePath/publication").map(s => mapper.readValue(s, classOf[Publication])) + val rddPublication = spark.sparkContext.textFile(s"$sourcePath/publication").map(s => mapper.readValue(s, classOf[Publication])) spark.createDataset(rddPublication).as[Publication].write.mode(SaveMode.Overwrite).save(s"$entityPath/publication") log.info("Converting software") - val rddSoftware =spark.sparkContext.textFile(s"$sourcePath/software").map(s => mapper.readValue(s, classOf[Software])) + val rddSoftware = spark.sparkContext.textFile(s"$sourcePath/software").map(s => mapper.readValue(s, classOf[Software])) spark.createDataset(rddSoftware).as[Software].write.mode(SaveMode.Overwrite).save(s"$entityPath/software") log.info("Converting otherresearchproduct") - val rddOtherResearchProduct =spark.sparkContext.textFile(s"$sourcePath/otherresearchproduct").map(s => mapper.readValue(s, classOf[OtherResearchProduct])) + val rddOtherResearchProduct = spark.sparkContext.textFile(s"$sourcePath/otherresearchproduct").map(s => mapper.readValue(s, classOf[OtherResearchProduct])) spark.createDataset(rddOtherResearchProduct).as[OtherResearchProduct].write.mode(SaveMode.Overwrite).save(s"$entityPath/otherresearchproduct") log.info("Converting Relation") - val relationSemanticFilter = List("cites", "iscitedby","merges", "ismergedin") + val relationSemanticFilter = List("cites", "iscitedby", "merges", "ismergedin") - val rddRelation =spark.sparkContext.textFile(s"$sourcePath/relation") + val rddRelation = spark.sparkContext.textFile(s"$sourcePath/relation") .map(s => mapper.readValue(s, classOf[Relation])) - .filter(r=> r.getSource.startsWith("50") && r.getTarget.startsWith("50")) + .filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50")) .filter(r => !relationSemanticFilter.exists(k => k.equalsIgnoreCase(r.getRelClass))) spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath") diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateInputGraph.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateInputGraph.scala similarity index 76% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateInputGraph.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateInputGraph.scala index 350b00c5e..ed88cfaa6 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateInputGraph.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateInputGraph.scala @@ -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 = { @@ -33,7 +31,7 @@ object SparkCreateInputGraph { ) - implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf]) + implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf]) implicit val publicationEncoder: Encoder[Publication] = Encoders.kryo(classOf[Publication]) implicit val datasetEncoder: Encoder[OafDataset] = Encoders.kryo(classOf[OafDataset]) implicit val softwareEncoder: Encoder[Software] = Encoders.kryo(classOf[Software]) @@ -41,16 +39,13 @@ 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") log.info(s"targetPath -> $targetPath") - val oafDs:Dataset[Oaf] = spark.read.load(s"$sourcePath/*").as[Oaf] + val oafDs: Dataset[Oaf] = spark.read.load(s"$sourcePath/*").as[Oaf] log.info("Extract Publication") @@ -70,27 +65,27 @@ object SparkCreateInputGraph { resultObject.foreach { r => log.info(s"Make ${r._1} unique") - makeDatasetUnique(s"$targetPath/extracted/${r._1}",s"$targetPath/preprocess/${r._1}",spark, r._2) + makeDatasetUnique(s"$targetPath/extracted/${r._1}", s"$targetPath/preprocess/${r._1}", spark, r._2) } } - def extractEntities[T <: Oaf ](oafDs:Dataset[Oaf], targetPath:String, clazz:Class[T], log:Logger) :Unit = { + def extractEntities[T <: Oaf](oafDs: Dataset[Oaf], targetPath: String, clazz: Class[T], log: Logger): Unit = { - implicit val resEncoder: Encoder[T] = Encoders.kryo(clazz) + implicit val resEncoder: Encoder[T] = Encoders.kryo(clazz) log.info(s"Extract ${clazz.getSimpleName}") oafDs.filter(o => o.isInstanceOf[T]).map(p => p.asInstanceOf[T]).write.mode(SaveMode.Overwrite).save(targetPath) } - def makeDatasetUnique[T <: Result ](sourcePath:String, targetPath:String, spark:SparkSession, clazz:Class[T]) :Unit = { + def makeDatasetUnique[T <: Result](sourcePath: String, targetPath: String, spark: SparkSession, clazz: Class[T]): Unit = { import spark.implicits._ - implicit val resEncoder: Encoder[T] = Encoders.kryo(clazz) + implicit val resEncoder: Encoder[T] = Encoders.kryo(clazz) - val ds:Dataset[T] = spark.read.load(sourcePath).as[T] + val ds: Dataset[T] = spark.read.load(sourcePath).as[T] - ds.groupByKey(_.getId).reduceGroups{(x,y) => + ds.groupByKey(_.getId).reduceGroups { (x, y) => x.mergeFrom(y) x }.map(_._2).write.mode(SaveMode.Overwrite).save(targetPath) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateScholix.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateScholix.scala similarity index 76% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateScholix.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateScholix.scala index e4fcd2782..9930c57af 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateScholix.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateScholix.scala @@ -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 { @@ -42,7 +42,7 @@ object SparkCreateScholix { val relationDS: Dataset[(String, Relation)] = spark.read.load(relationPath).as[Relation] - .filter(r => (r.getDataInfo== null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge")) + .filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge")) .map(r => (r.getSource, r))(Encoders.tuple(Encoders.STRING, relEncoder)) val summaryDS: Dataset[(String, ScholixSummary)] = spark.read.load(summaryPath).as[ScholixSummary] @@ -51,54 +51,54 @@ object SparkCreateScholix { relationDS.joinWith(summaryDS, relationDS("_1").equalTo(summaryDS("_1")), "left") .map { input: ((String, Relation), (String, ScholixSummary)) => - if (input._1!= null && input._2!= null) { + if (input._1 != null && input._2 != null) { val rel: Relation = input._1._2 val source: ScholixSummary = input._2._2 (rel.getTarget, ScholixUtils.scholixFromSource(rel, source)) } - else null + else null }(Encoders.tuple(Encoders.STRING, scholixEncoder)) - .filter(r => r!= null) + .filter(r => r != null) .write.mode(SaveMode.Overwrite).save(s"$targetPath/scholix_from_source") val scholixSource: Dataset[(String, Scholix)] = spark.read.load(s"$targetPath/scholix_from_source").as[(String, Scholix)](Encoders.tuple(Encoders.STRING, scholixEncoder)) scholixSource.joinWith(summaryDS, scholixSource("_1").equalTo(summaryDS("_1")), "left") .map { input: ((String, Scholix), (String, ScholixSummary)) => - if (input._2== null) { + if (input._2 == null) { null } else { val s: Scholix = input._1._2 val target: ScholixSummary = input._2._2 ScholixUtils.generateCompleteScholix(s, target) } - }.filter(s => s!= null).write.mode(SaveMode.Overwrite).save(s"$targetPath/scholix_one_verse") + }.filter(s => s != null).write.mode(SaveMode.Overwrite).save(s"$targetPath/scholix_one_verse") val scholix_o_v: Dataset[Scholix] = spark.read.load(s"$targetPath/scholix_one_verse").as[Scholix] scholix_o_v.flatMap(s => List(s, ScholixUtils.createInverseScholixRelation(s))).as[Scholix] - .map(s=> (s.getIdentifier,s))(Encoders.tuple(Encoders.STRING, scholixEncoder)) + .map(s => (s.getIdentifier, s))(Encoders.tuple(Encoders.STRING, scholixEncoder)) .groupByKey(_._1) .agg(ScholixUtils.scholixAggregator.toColumn) .map(s => s._2) .write.mode(SaveMode.Overwrite).save(s"$targetPath/scholix") - val scholix_final:Dataset[Scholix] = spark.read.load(s"$targetPath/scholix").as[Scholix] + val scholix_final: Dataset[Scholix] = spark.read.load(s"$targetPath/scholix").as[Scholix] - val stats:Dataset[(String,String,Long)]= scholix_final.map(s => (s.getSource.getDnetIdentifier, s.getTarget.getObjectType)).groupBy("_1", "_2").agg(count("_1")).as[(String,String,Long)] + val stats: Dataset[(String, String, Long)] = scholix_final.map(s => (s.getSource.getDnetIdentifier, s.getTarget.getObjectType)).groupBy("_1", "_2").agg(count("_1")).as[(String, String, Long)] stats - .map(s => RelatedEntities(s._1, if ("dataset".equalsIgnoreCase(s._2)) s._3 else 0, if ("publication".equalsIgnoreCase(s._2)) s._3 else 0 )) + .map(s => RelatedEntities(s._1, if ("dataset".equalsIgnoreCase(s._2)) s._3 else 0, if ("publication".equalsIgnoreCase(s._2)) s._3 else 0)) .groupByKey(_.id) - .reduceGroups((a, b) => RelatedEntities(a.id, a.relatedDataset+b.relatedDataset, a.relatedPublication+b.relatedPublication)) + .reduceGroups((a, b) => RelatedEntities(a.id, a.relatedDataset + b.relatedDataset, a.relatedPublication + b.relatedPublication)) .map(_._2) .write.mode(SaveMode.Overwrite).save(s"$targetPath/related_entities") - val relatedEntitiesDS:Dataset[RelatedEntities] = spark.read.load(s"$targetPath/related_entities").as[RelatedEntities].filter(r => r.relatedPublication>0 || r.relatedDataset > 0) + val relatedEntitiesDS: Dataset[RelatedEntities] = spark.read.load(s"$targetPath/related_entities").as[RelatedEntities].filter(r => r.relatedPublication > 0 || r.relatedDataset > 0) - relatedEntitiesDS.joinWith(summaryDS, relatedEntitiesDS("id").equalTo(summaryDS("_1")), "inner").map{i => + relatedEntitiesDS.joinWith(summaryDS, relatedEntitiesDS("id").equalTo(summaryDS("_1")), "inner").map { i => val re = i._1 val sum = i._2._2 diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateSummaryObject.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateSummaryObject.scala similarity index 68% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateSummaryObject.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateSummaryObject.scala index 0970375f5..4274cae5a 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkCreateSummaryObject.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkCreateSummaryObject.scala @@ -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 { @@ -28,15 +28,15 @@ object SparkCreateSummaryObject { val targetPath = parser.get("targetPath") log.info(s"targetPath -> $targetPath") - implicit val resultEncoder:Encoder[Result] = Encoders.kryo[Result] - implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf] + implicit val resultEncoder: Encoder[Result] = Encoders.kryo[Result] + implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf] - implicit val summaryEncoder:Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary] + implicit val summaryEncoder: Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary] - val ds:Dataset[Result] = spark.read.load(s"$sourcePath/*").as[Result].filter(r=>r.getDataInfo== null || r.getDataInfo.getDeletedbyinference== false) + val ds: Dataset[Result] = spark.read.load(s"$sourcePath/*").as[Result].filter(r => r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) - ds.repartition(6000).map(r => ScholixUtils.resultToSummary(r)).filter(s => s!= null).write.mode(SaveMode.Overwrite).save(targetPath) + ds.repartition(6000).map(r => ScholixUtils.resultToSummary(r)).filter(s => s != null).write.mode(SaveMode.Overwrite).save(targetPath) } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/pangaea/PangaeaUtils.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/pangaea/PangaeaUtils.scala similarity index 99% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/pangaea/PangaeaUtils.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/pangaea/PangaeaUtils.scala index 193512474..c70397d04 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/pangaea/PangaeaUtils.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/pangaea/PangaeaUtils.scala @@ -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} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/pangaea/SparkGeneratePanagaeaDataset.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/pangaea/SparkGeneratePanagaeaDataset.scala similarity index 83% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/pangaea/SparkGeneratePanagaeaDataset.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/pangaea/SparkGeneratePanagaeaDataset.scala index 79c75d6df..2717b7b80 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/pangaea/SparkGeneratePanagaeaDataset.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/pangaea/SparkGeneratePanagaeaDataset.scala @@ -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 { @@ -28,17 +28,17 @@ object SparkGeneratePanagaeaDataset { parser.getObjectMap.asScala.foreach(s => logger.info(s"${s._1} -> ${s._2}")) logger.info("Converting sequential file into Dataset") - val sc:SparkContext = spark.sparkContext + val sc: SparkContext = spark.sparkContext - val workingPath:String = parser.get("workingPath") + val workingPath: String = parser.get("workingPath") implicit val pangaeaEncoders: Encoder[PangaeaDataModel] = Encoders.kryo[PangaeaDataModel] - val inputRDD:RDD[PangaeaDataModel] = sc.textFile(s"$workingPath/update").map(s => PangaeaUtils.toDataset(s)) + val inputRDD: RDD[PangaeaDataModel] = sc.textFile(s"$workingPath/update").map(s => PangaeaUtils.toDataset(s)) spark.createDataset(inputRDD).as[PangaeaDataModel] - .map(s => (s.identifier,s))(Encoders.tuple(Encoders.STRING, pangaeaEncoders)) - .groupByKey(_._1)(Encoders.STRING) + .map(s => (s.identifier, s))(Encoders.tuple(Encoders.STRING, pangaeaEncoders)) + .groupByKey(_._1)(Encoders.STRING) .agg(PangaeaUtils.getDatasetAggregator().toColumn) .map(s => s._2) .write.mode(SaveMode.Overwrite).save(s"$workingPath/dataset") @@ -46,7 +46,4 @@ object SparkGeneratePanagaeaDataset { } - - - } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/scholix/ScholixUtils.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/scholix/ScholixUtils.scala similarity index 61% rename from dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/scholix/ScholixUtils.scala rename to dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/scholix/ScholixUtils.scala index 93c554e04..bf81a26d4 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/scholix/ScholixUtils.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/scholix/ScholixUtils.scala @@ -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} @@ -10,23 +9,22 @@ 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 { val DNET_IDENTIFIER_SCHEMA: String = "DNET Identifier" - val DATE_RELATION_KEY:String = "RelationDate" - case class RelationVocabulary(original:String, inverse:String){} + val DATE_RELATION_KEY: String = "RelationDate" - case class RelatedEntities(id:String, relatedDataset:Long, relatedPublication:Long){} + case class RelationVocabulary(original: String, inverse: String) {} - val relations:Map[String, RelationVocabulary] = { - val input =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/relations.json")).mkString + case class RelatedEntities(id: String, relatedDataset: Long, relatedPublication: Long) {} + + val relations: Map[String, RelationVocabulary] = { + val input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/relations.json")).mkString implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats lazy val json: json4s.JValue = parse(input) @@ -35,12 +33,12 @@ object ScholixUtils { } - def extractRelationDate(relation: Relation):String = { + def extractRelationDate(relation: Relation): String = { - if (relation.getProperties== null || !relation.getProperties.isEmpty) + if (relation.getProperties == null || !relation.getProperties.isEmpty) null else { - val date =relation.getProperties.asScala.find(p => DATE_RELATION_KEY.equalsIgnoreCase(p.getKey)).map(p => p.getValue) + val date = relation.getProperties.asScala.find(p => DATE_RELATION_KEY.equalsIgnoreCase(p.getKey)).map(p => p.getValue) if (date.isDefined) date.get else @@ -48,9 +46,9 @@ object ScholixUtils { } } - def extractRelationDate(summary: ScholixSummary):String = { + def extractRelationDate(summary: ScholixSummary): String = { - if(summary.getDate== null || summary.getDate.isEmpty) + if (summary.getDate == null || summary.getDate.isEmpty) null else { summary.getDate.get(0) @@ -59,15 +57,14 @@ object ScholixUtils { } - def inverseRelationShip(rel:ScholixRelationship):ScholixRelationship = { + def inverseRelationShip(rel: ScholixRelationship): ScholixRelationship = { new ScholixRelationship(rel.getInverse, rel.getSchema, rel.getName) } - - val statsAggregator:Aggregator[(String,String, Long), RelatedEntities, RelatedEntities] = new Aggregator[(String,String, Long), RelatedEntities, RelatedEntities] with Serializable { + val statsAggregator: Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] = new Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] with Serializable { override def zero: RelatedEntities = null override def reduce(b: RelatedEntities, a: (String, String, Long)): RelatedEntities = { @@ -78,17 +75,16 @@ object ScholixUtils { if (b == null) RelatedEntities(a._1, relatedDataset, relatedPublication) else - RelatedEntities(a._1,b.relatedDataset+ relatedDataset, b.relatedPublication+ relatedPublication ) + RelatedEntities(a._1, b.relatedDataset + relatedDataset, b.relatedPublication + relatedPublication) } override def merge(b1: RelatedEntities, b2: RelatedEntities): RelatedEntities = { - if (b1!= null && b2!= null) - RelatedEntities(b1.id, b1.relatedDataset+ b2.relatedDataset, b1.relatedPublication+ b2.relatedPublication) + if (b1 != null && b2 != null) + RelatedEntities(b1.id, b1.relatedDataset + b2.relatedDataset, b1.relatedPublication + b2.relatedPublication) + else if (b1 != null) + b1 else - if (b1!= null) - b1 - else b2 } @@ -104,12 +100,12 @@ object ScholixUtils { override def zero: Scholix = null - def scholix_complete(s:Scholix):Boolean ={ - if (s== null || s.getIdentifier==null) { + def scholix_complete(s: Scholix): Boolean = { + if (s == null || s.getIdentifier == null) { false } else if (s.getSource == null || s.getTarget == null) { - false - } + false + } else if (s.getLinkprovider == null || s.getLinkprovider.isEmpty) false else @@ -121,7 +117,7 @@ object ScholixUtils { } override def merge(b1: Scholix, b2: Scholix): Scholix = { - if (scholix_complete(b1)) b1 else b2 + if (scholix_complete(b1)) b1 else b2 } override def finish(reduction: Scholix): Scholix = reduction @@ -132,7 +128,7 @@ object ScholixUtils { } - def createInverseScholixRelation(scholix: Scholix):Scholix = { + def createInverseScholixRelation(scholix: Scholix): Scholix = { val s = new Scholix s.setPublicationDate(scholix.getPublicationDate) s.setPublisher(scholix.getPublisher) @@ -144,34 +140,33 @@ object ScholixUtils { s - } - def extractCollectedFrom(summary:ScholixSummary): List[ScholixEntityId] = { - if (summary.getDatasources!= null && !summary.getDatasources.isEmpty) { - val l: List[ScholixEntityId] = summary.getDatasources.asScala.map{ + def extractCollectedFrom(summary: ScholixSummary): List[ScholixEntityId] = { + if (summary.getDatasources != null && !summary.getDatasources.isEmpty) { + val l: List[ScholixEntityId] = summary.getDatasources.asScala.map { d => new ScholixEntityId(d.getDatasourceName, List(new ScholixIdentifier(d.getDatasourceId, "DNET Identifier", null)).asJava) }(collection.breakOut) - l + l } else List() } - def extractCollectedFrom(relation: Relation) : List[ScholixEntityId] = { + def extractCollectedFrom(relation: Relation): List[ScholixEntityId] = { if (relation.getCollectedfrom != null && !relation.getCollectedfrom.isEmpty) { val l: List[ScholixEntityId] = relation.getCollectedfrom.asScala.map { c => - new ScholixEntityId(c.getValue, List(new ScholixIdentifier(c.getKey, DNET_IDENTIFIER_SCHEMA,null)).asJava) + new ScholixEntityId(c.getValue, List(new ScholixIdentifier(c.getKey, DNET_IDENTIFIER_SCHEMA, null)).asJava) }(collection breakOut) l } else List() } - def generateCompleteScholix(scholix: Scholix, target:ScholixSummary): Scholix = { + def generateCompleteScholix(scholix: Scholix, target: ScholixSummary): Scholix = { val s = new Scholix s.setPublicationDate(scholix.getPublicationDate) s.setPublisher(scholix.getPublisher) @@ -192,29 +187,28 @@ object ScholixUtils { r.setObjectType(summaryObject.getTypology.toString) r.setObjectSubType(summaryObject.getSubType) - if (summaryObject.getTitle!= null && !summaryObject.getTitle.isEmpty) - r.setTitle(summaryObject.getTitle.get(0)) + if (summaryObject.getTitle != null && !summaryObject.getTitle.isEmpty) + r.setTitle(summaryObject.getTitle.get(0)) - if (summaryObject.getAuthor!= null && !summaryObject.getAuthor.isEmpty){ - val l:List[ScholixEntityId] = summaryObject.getAuthor.asScala.map(a => new ScholixEntityId(a,null)).toList + if (summaryObject.getAuthor != null && !summaryObject.getAuthor.isEmpty) { + val l: List[ScholixEntityId] = summaryObject.getAuthor.asScala.map(a => new ScholixEntityId(a, null)).toList if (l.nonEmpty) r.setCreator(l.asJava) } - if (summaryObject.getDate!= null && !summaryObject.getDate.isEmpty) + if (summaryObject.getDate != null && !summaryObject.getDate.isEmpty) r.setPublicationDate(summaryObject.getDate.get(0)) - if (summaryObject.getPublisher!= null && !summaryObject.getPublisher.isEmpty) - { - val plist:List[ScholixEntityId] =summaryObject.getPublisher.asScala.map(p => new ScholixEntityId(p, null)).toList + if (summaryObject.getPublisher != null && !summaryObject.getPublisher.isEmpty) { + val plist: List[ScholixEntityId] = summaryObject.getPublisher.asScala.map(p => new ScholixEntityId(p, null)).toList if (plist.nonEmpty) r.setPublisher(plist.asJava) } - if (summaryObject.getDatasources!= null && !summaryObject.getDatasources.isEmpty) { + if (summaryObject.getDatasources != null && !summaryObject.getDatasources.isEmpty) { - val l:List[ScholixCollectedFrom] = summaryObject.getDatasources.asScala.map(c => new ScholixCollectedFrom( + val l: List[ScholixCollectedFrom] = summaryObject.getDatasources.asScala.map(c => new ScholixCollectedFrom( new ScholixEntityId(c.getDatasourceName, List(new ScholixIdentifier(c.getDatasourceId, DNET_IDENTIFIER_SCHEMA, null)).asJava) , "collected", "complete" @@ -228,12 +222,9 @@ object ScholixUtils { } + def scholixFromSource(relation: Relation, source: ScholixSummary): Scholix = { - - - def scholixFromSource(relation:Relation, source:ScholixSummary):Scholix = { - - if (relation== null || source== null) + if (relation == null || source == null) return null val s = new Scholix @@ -253,9 +244,9 @@ object ScholixUtils { s.setPublicationDate(d) - if (source.getPublisher!= null && !source.getPublisher.isEmpty) { + if (source.getPublisher != null && !source.getPublisher.isEmpty) { val l: List[ScholixEntityId] = source.getPublisher.asScala - .map{ + .map { p => new ScholixEntityId(p, null) }(collection.breakOut) @@ -265,7 +256,7 @@ object ScholixUtils { } val semanticRelation = relations.getOrElse(relation.getRelClass.toLowerCase, null) - if (semanticRelation== null) + if (semanticRelation == null) return null s.setRelationship(new ScholixRelationship(semanticRelation.original, "datacite", semanticRelation.inverse)) s.setSource(generateScholixResourceFromSummary(source)) @@ -274,8 +265,8 @@ object ScholixUtils { } - def findURLForPID(pidValue:List[StructuredProperty], urls:List[String]):List[(StructuredProperty, String)] = { - pidValue.map{ + def findURLForPID(pidValue: List[StructuredProperty], urls: List[String]): List[(StructuredProperty, String)] = { + pidValue.map { p => val pv = p.getValue @@ -285,67 +276,67 @@ object ScholixUtils { } - def extractTypedIdentifierFromInstance(r:Result):List[ScholixIdentifier] = { + def extractTypedIdentifierFromInstance(r: Result): List[ScholixIdentifier] = { if (r.getInstance() == null || r.getInstance().isEmpty) return List() - r.getInstance().asScala.filter(i => i.getUrl!= null && !i.getUrl.isEmpty) - .filter(i => i.getPid!= null && i.getUrl != null) + r.getInstance().asScala.filter(i => i.getUrl != null && !i.getUrl.isEmpty) + .filter(i => i.getPid != null && i.getUrl != null) .flatMap(i => findURLForPID(i.getPid.asScala.toList, i.getUrl.asScala.toList)) .map(i => new ScholixIdentifier(i._1.getValue, i._1.getQualifier.getClassid, i._2)).distinct.toList } - def resultToSummary(r:Result):ScholixSummary = { + def resultToSummary(r: Result): ScholixSummary = { val s = new ScholixSummary s.setId(r.getId) if (r.getPid == null || r.getPid.isEmpty) return null - val persistentIdentifiers:List[ScholixIdentifier] = extractTypedIdentifierFromInstance(r) + val persistentIdentifiers: List[ScholixIdentifier] = extractTypedIdentifierFromInstance(r) if (persistentIdentifiers.isEmpty) return null s.setLocalIdentifier(persistentIdentifiers.asJava) - if (r.isInstanceOf[Publication] ) + if (r.isInstanceOf[Publication]) s.setTypology(Typology.publication) else s.setTypology(Typology.dataset) s.setSubType(r.getInstance().get(0).getInstancetype.getClassname) - if (r.getTitle!= null && r.getTitle.asScala.nonEmpty) { - val titles:List[String] =r.getTitle.asScala.map(t => t.getValue)(collection breakOut) + if (r.getTitle != null && r.getTitle.asScala.nonEmpty) { + val titles: List[String] = r.getTitle.asScala.map(t => t.getValue)(collection breakOut) if (titles.nonEmpty) s.setTitle(titles.asJava) else - return null + return null } - if(r.getAuthor!= null && !r.getAuthor.isEmpty) { - val authors:List[String] = r.getAuthor.asScala.map(a=> a.getFullname)(collection breakOut) + if (r.getAuthor != null && !r.getAuthor.isEmpty) { + val authors: List[String] = r.getAuthor.asScala.map(a => a.getFullname)(collection breakOut) if (authors nonEmpty) s.setAuthor(authors.asJava) } if (r.getInstance() != null) { - val dt:List[String] = r.getInstance().asScala.filter(i => i.getDateofacceptance != null).map(i => i.getDateofacceptance.getValue)(collection.breakOut) + val dt: List[String] = r.getInstance().asScala.filter(i => i.getDateofacceptance != null).map(i => i.getDateofacceptance.getValue)(collection.breakOut) if (dt.nonEmpty) s.setDate(dt.distinct.asJava) } - if (r.getDescription!= null && !r.getDescription.isEmpty) { - val d = r.getDescription.asScala.find(f => f!= null && f.getValue!=null) + if (r.getDescription != null && !r.getDescription.isEmpty) { + val d = r.getDescription.asScala.find(f => f != null && f.getValue != null) if (d.isDefined) s.setDescription(d.get.getValue) } - if (r.getSubject!= null && !r.getSubject.isEmpty) { - val subjects:List[SchemeValue] =r.getSubject.asScala.map(s => new SchemeValue(s.getQualifier.getClassname, s.getValue))(collection breakOut) + if (r.getSubject != null && !r.getSubject.isEmpty) { + val subjects: List[SchemeValue] = r.getSubject.asScala.map(s => new SchemeValue(s.getQualifier.getClassname, s.getValue))(collection breakOut) if (subjects.nonEmpty) s.setSubject(subjects.asJava) } - if (r.getPublisher!= null) + if (r.getPublisher != null) s.setPublisher(List(r.getPublisher.getValue).asJava) - if (r.getCollectedfrom!= null && !r.getCollectedfrom.isEmpty) { - val cf:List[CollectedFromType] = r.getCollectedfrom.asScala.map(c => new CollectedFromType(c.getValue, c.getKey, "complete"))(collection breakOut) + if (r.getCollectedfrom != null && !r.getCollectedfrom.isEmpty) { + val cf: List[CollectedFromType] = r.getCollectedfrom.asScala.map(c => new CollectedFromType(c.getValue, c.getKey, "complete"))(collection breakOut) if (cf.nonEmpty) s.setDatasources(cf.distinct.asJava) } diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/GraphCleaningFunctionsTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/GraphCleaningFunctionsTest.java index aa9535ef7..a7c7eb810 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/GraphCleaningFunctionsTest.java +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/GraphCleaningFunctionsTest.java @@ -12,6 +12,8 @@ import java.util.stream.Collectors; import java.util.stream.Stream; import org.apache.commons.io.IOUtils; +import org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.MappableBlock; +import org.junit.jupiter.api.Assertions; import org.junit.jupiter.api.BeforeEach; import org.junit.jupiter.api.Test; import org.junit.jupiter.api.extension.ExtendWith; @@ -66,9 +68,59 @@ public class GraphCleaningFunctionsTest { Relation r_out = OafCleaner.apply(r_in, mapping); assertTrue(vocabularies.getTerms(ModelConstants.DNET_RELATION_RELCLASS).contains(r_out.getRelClass())); assertTrue(vocabularies.getTerms(ModelConstants.DNET_RELATION_SUBRELTYPE).contains(r_out.getSubRelType())); + + assertEquals("iis", r_out.getDataInfo().getProvenanceaction().getClassid()); + assertEquals("Inferred by OpenAIRE", r_out.getDataInfo().getProvenanceaction().getClassname()); } } + @Test + void testFilter_false() throws Exception { + + assertNotNull(vocabularies); + assertNotNull(mapping); + + String json = IOUtils + .toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/result_invisible.json")); + Publication p_in = MAPPER.readValue(json, Publication.class); + + assertTrue(p_in instanceof Result); + assertTrue(p_in instanceof Publication); + + assertEquals(false, GraphCleaningFunctions.filter(p_in)); + } + + @Test + void testFilter_true() throws Exception { + + assertNotNull(vocabularies); + assertNotNull(mapping); + + String json = IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/result.json")); + Publication p_in = MAPPER.readValue(json, Publication.class); + + assertTrue(p_in instanceof Result); + assertTrue(p_in instanceof Publication); + + assertEquals(true, GraphCleaningFunctions.filter(p_in)); + } + + @Test + void testFilter_missing_invisible() throws Exception { + + assertNotNull(vocabularies); + assertNotNull(mapping); + + String json = IOUtils + .toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/result_missing_invisible.json")); + Publication p_in = MAPPER.readValue(json, Publication.class); + + assertTrue(p_in instanceof Result); + assertTrue(p_in instanceof Publication); + + assertEquals(true, GraphCleaningFunctions.filter(p_in)); + } + @Test void testCleaning() throws Exception { @@ -99,6 +151,12 @@ public class GraphCleaningFunctionsTest { assertEquals("0018", p_out.getInstance().get(0).getInstancetype().getClassid()); assertEquals("Annotation", p_out.getInstance().get(0).getInstancetype().getClassname()); + assertEquals("0027", p_out.getInstance().get(1).getInstancetype().getClassid()); + assertEquals("Model", p_out.getInstance().get(1).getInstancetype().getClassname()); + + assertEquals("xyz", p_out.getInstance().get(2).getInstancetype().getClassid()); + assertEquals("xyz", p_out.getInstance().get(2).getInstancetype().getClassname()); + assertEquals("CLOSED", p_out.getInstance().get(0).getAccessright().getClassid()); assertEquals("Closed Access", p_out.getInstance().get(0).getAccessright().getClassname()); @@ -112,7 +170,7 @@ public class GraphCleaningFunctionsTest { List poi = p_out.getInstance(); assertNotNull(poi); - assertEquals(1, poi.size()); + assertEquals(3, poi.size()); final Instance poii = poi.get(0); assertNotNull(poii); @@ -140,7 +198,7 @@ public class GraphCleaningFunctionsTest { assertEquals(5, p_out.getTitle().size()); - Publication p_cleaned = GraphCleaningFunctions.cleanup(p_out); + Publication p_cleaned = GraphCleaningFunctions.cleanup(p_out, vocabularies); assertEquals(3, p_cleaned.getTitle().size()); @@ -159,9 +217,12 @@ public class GraphCleaningFunctionsTest { assertEquals("1970-10-07", p_cleaned.getDateofacceptance().getValue()); + assertEquals("0038", p_cleaned.getInstance().get(2).getInstancetype().getClassid()); + assertEquals("Other literature type", p_cleaned.getInstance().get(2).getInstancetype().getClassname()); + final List pci = p_cleaned.getInstance(); assertNotNull(pci); - assertEquals(1, pci.size()); + assertEquals(3, pci.size()); final Instance pcii = pci.get(0); assertNotNull(pcii); @@ -222,4 +283,27 @@ public class GraphCleaningFunctionsTest { .readLines( GraphCleaningFunctionsTest.class.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/synonyms.txt")); } + + @Test + public void testCleanDoiBoost() throws IOException { + String json = IOUtils + .toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/doiboostpub.json")); + Publication p_in = MAPPER.readValue(json, Publication.class); + Publication p_out = OafCleaner.apply(GraphCleaningFunctions.fixVocabularyNames(p_in), mapping); + Publication cleaned = GraphCleaningFunctions.cleanup(p_out, vocabularies); + + Assertions.assertEquals(true, GraphCleaningFunctions.filter(cleaned)); + } + + @Test + public void testCleanDoiBoost2() throws IOException { + String json = IOUtils + .toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/doiboostpub2.json")); + Publication p_in = MAPPER.readValue(json, Publication.class); + Publication p_out = OafCleaner.apply(GraphCleaningFunctions.fixVocabularyNames(p_in), mapping); + Publication cleaned = GraphCleaningFunctions.cleanup(p_out, vocabularies); + + Assertions.assertEquals(true, GraphCleaningFunctions.filter(cleaned)); + + } } diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/DumpJobTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/DumpJobTest.java index 602aaf6e6..07f663896 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/DumpJobTest.java +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/DumpJobTest.java @@ -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( diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java index 27e33bf27..de79b750a 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java @@ -708,7 +708,7 @@ class MappersTest { assertEquals(1, p.getTitle().size()); assertTrue(StringUtils.isNotBlank(p.getTitle().get(0).getValue())); - final Publication p_cleaned = cleanup(fixVocabularyNames(p)); + final Publication p_cleaned = cleanup(fixVocabularyNames(p), vocs); assertNotNull(p_cleaned.getTitle()); assertFalse(p_cleaned.getTitle().isEmpty()); diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/doiboostpub.json b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/doiboostpub.json new file mode 100644 index 000000000..061145d0f --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/doiboostpub.json @@ -0,0 +1 @@ +{"context": [], "dataInfo": {"invisible": false, "trust": "0.9", "provenanceaction": {"classid": "sysimport:actionset", "classname": "sysimport:actionset", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "inferred": false, "deletedbyinference": false}, "resourcetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}, "pid": [{"qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1097/00132586-197308000-00003"}], "contributor": [], "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "relevantdate": [{"qualifier": {"classid": "created", "classname": "created", "schemeid": "dnet:dataCite_date", "schemename": "dnet:dataCite_date"}, "value": "2006-11-06T11:36:37Z"}], "collectedfrom": [{"key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e2", "value": "Crossref"}], "id": "50|doi_________::b0baa0eb88a5788f0b8815560d2a32f2", "subject": [], "lastupdatetimestamp": 1620353302565, "author": [{"fullname": "N. S. AGRUSS", "surname": "AGRUSS", "name": "N. S.", "rank": 1}, {"fullname": "E. Y. ROSIN", "surname": "ROSIN", "name": "E. Y.", "rank": 2}, {"fullname": "R. J. ADOLPH", "surname": "ADOLPH", "name": "R. J.", "rank": 3}, {"fullname": "N. O. FOWLER", "surname": "FOWLER", "name": "N. O.", "rank": 4}], "instance": [{"hostedby": {"key": "10|issn___print::b8cee613d4f898f8c03956d57ea69be2", "value": "Survey of Anesthesiology"}, "url": ["https://doi.org/10.1097/00132586-197308000-00003"], "pid": [{"qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1097/00132586-197308000-00003"}], "dateofacceptance": {"value": "2006-11-06T11:36:37Z"}, "collectedfrom": {"key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e2", "value": "Crossref"}, "accessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2021-05-07T02:08:22Z", "fulltext": [], "description": [], "format": [], "journal": {"issnPrinted": "0039-6206", "vol": "17", "sp": "304", "name": "Survey of Anesthesiology"}, "measures": [], "coverage": [], "externalReference": [], "publisher": {"value": "Ovid Technologies (Wolters Kluwer Health)"}, "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "country": [], "extraInfo": [], "originalId": ["10.1097/00132586-197308000-00003", "50|doiboost____::b0baa0eb88a5788f0b8815560d2a32f2"], "source": [{"value": "Crossref"}], "dateofacceptance": {"value": "2006-11-06T11:36:37Z"}, "title": [{"qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "SIGNIFICANCE OF CHRONIC SINUS BRADYCARDIA IN ELDERLY PEOPLE"}]} \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/doiboostpub2.json b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/doiboostpub2.json new file mode 100644 index 000000000..cf81b0286 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/doiboostpub2.json @@ -0,0 +1 @@ +{"context": [], "dataInfo": {"invisible": false, "trust": "0.9", "provenanceaction": {"classid": "sysimport:actionset", "classname": "sysimport:actionset", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "inferred": false, "deletedbyinference": false}, "resourcetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}, "pid": [{"qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.2143/tvg.62.1.5002364"}], "contributor": [], "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "relevantdate": [{"qualifier": {"classid": "created", "classname": "created", "schemeid": "dnet:dataCite_date", "schemename": "dnet:dataCite_date"}, "value": "2007-08-20T08:35:04Z"}, {"qualifier": {"classid": "published-online", "classname": "published-online", "schemeid": "dnet:dataCite_date", "schemename": "dnet:dataCite_date"}, "value": "2006-01-01"}], "collectedfrom": [{"key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e2", "value": "Crossref"}], "id": "50|doi_________::4972b0ca81b96b225aed8038bb965656", "subject": [{"qualifier": {"classid": "keywords", "classname": "keywords", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "General Medicine"}], "lastupdatetimestamp": 1620381522840, "author": [{"fullname": "null VERHAMME P", "surname": "VERHAMME P", "rank": 1}], "instance": [{"hostedby": {"key": "10|issn__online::7ec728ad1ac65c60cd563a5137111125", "value": "Tijdschrift voor Geneeskunde"}, "url": ["https://doi.org/10.2143/tvg.62.1.5002364"], "pid": [{"qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.2143/tvg.62.1.5002364"}], "dateofacceptance": {"value": "2006-01-01"}, "collectedfrom": {"key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e2", "value": "Crossref"}, "accessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2021-05-07T09:58:42Z", "fulltext": [], "description": [], "format": [], "journal": {"vol": "62", "sp": "55", "issnOnline": "0371-683X", "ep": "61", "name": "Tijdschrift voor Geneeskunde"}, "measures": [], "coverage": [], "externalReference": [], "publisher": {"value": "Peeters Publishers"}, "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "country": [], "extraInfo": [], "originalId": ["10.2143/tvg.62.1.5002364", "50|doiboost____::4972b0ca81b96b225aed8038bb965656"], "source": [{"value": "Crossref"}], "dateofacceptance": {"value": "2006-01-01"}, "title": [{"qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Antitrombotica: nieuwe moleculen"}]} \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/relation.json b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/relation.json index 97764de00..06eb9bae0 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/relation.json +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/relation.json @@ -1,10 +1,10 @@ -{"relType":"resultResult","subRelType":"citation","relClass":"cites","source":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556","target":"50|openaire____::007a4870b31056f89b768cf508e1538e"} -{"relType":"resultResult","subRelType":"citation","relClass":"isCitedBy","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} -{"relType":"resultResult","subRelType":"supplement","relClass":"isSupplementTo","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} -{"relType":"resultResult","subRelType":"supplement","relClass":"isSupplementedBy","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} -{"relType":"resultResult","subRelType":"part","relClass":"isPartOf","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} -{"relType":"resultResult","subRelType":"part","relClass":"hasPart","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} -{"relType":"resultResult","subRelType":"review","relClass":"isReviewedBy","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} -{"relType":"resultResult","subRelType":"review","relClass":"reviews","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} -{"relType":"resultResult","subRelType":"relationship","relClass":"isRelatedTo","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} -{"relType":"resultResult","subRelType":"publicationDataset","relClass":"isRelatedTo","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556"} \ No newline at end of file +{"relType":"resultResult","subRelType":"citation","relClass":"cites","source":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556","target":"50|openaire____::007a4870b31056f89b768cf508e1538e","dataInfo": {"provenanceaction": {"classid": "iis", "classname": "erroneous label to be cleaned","schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}}} +{"relType":"resultResult","subRelType":"citation","relClass":"isCitedBy","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556","dataInfo": {"provenanceaction": {"classid": "iis", "classname": "erroneous label to be cleaned","schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}}} +{"relType":"resultResult","subRelType":"supplement","relClass":"isSupplementTo","source":"50|openaire____::007a4870b31056f89b768cf508e1538e","target":"50|4ScienceCRIS::f66f1bd369679b5b077dcdf006089556","dataInfo": {"provenanceaction": 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+{"author":[{"fullname":"Nikolaidou,Charitini","name":"Charitini","surname":"Nikolaidou","rank":1,"pid":null},{"fullname":"Votsi,Nefta","name":"Nefta","surname":"Votsi","rank":2,"pid":{"id":{"scheme":"orcid","value":"0000-0001-6651-1178"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}},{"fullname":"Sgardelis,Steanos","name":"Steanos","surname":"Sgardelis","rank":3,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0001-6651-1178"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}},{"fullname":"Halley,John","name":"John","surname":"Halley","rank":4,"pid":null},{"fullname":"Pantis,John","name":"John","surname":"Pantis","rank":5,"pid":{"id":{"scheme":"orcid","value":"0000-0001-6651-1178"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}},{"fullname":"Tsiafouli,Maria","name":"Maria","surname":"Tsiafouli","rank":6,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0001-6651-1178"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}}],"type":"publication","language":{"code":"eng","label":"English"},"country":[{"code":"IT","label":"Italy","provenance":null}],"subjects":[{"subject":{"scheme":"ACM","value":"Ecosystem Services hotspots"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"Natura 2000"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"Quiet Protected Areas"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"Biodiversity"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"Agriculture"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"Elevation"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"Slope"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"Ecosystem Service trade-offs and synergies"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":" cultural services"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"provisioning services"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"regulating services"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"supporting services"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}],"maintitle":"Ecosystem Service capacity is higher in areas of multiple designation types","subtitle":null,"description":["The implementation of the Ecosystem Service (ES) concept into practice might be a challenging task as it has to take into account previous “traditional” policies and approaches that have evaluated nature and biodiversity differently. Among them the Habitat (92/43/EC) and Bird Directives (79/409/EC), the Water Framework Directive (2000/60/EC), and the Noise Directive (2002/49/EC) have led to the evaluation/designation of areas in Europe with different criteria. In this study our goal was to understand how the ES capacity of an area is related to its designation and if areas with multiple designations have higher capacity in providing ES. We selected four catchments in Greece with a great variety of characteristics covering over 25% of the national territory. Inside the catchments we assessed the ES capacity (following the methodology of Burkhard et al. 2009) of areas designated as Natura 2000 sites, Quiet areas and Wetlands or Water bodies and found those areas that have multiple designations. Data were analyzed by GLM to reveal differences regarding the ES capacity among the different types of areas. We also investigated by PCA synergies and trade-offs among different kinds of ES and tested for correlations among landscape properties, such as elevation, aspect and slope and the ES potential. Our results show that areas with different types or multiple designations have a different capacity in providing ES. Areas of one designation type (Protected or Quiet Areas) had in general intermediate scores in most ES but scores were higher compared to areas with no designation, which displayed stronger capacity in provisioning services. Among Protected Areas and Quiet Areas the latter scored better in general. Areas that combined both designation types (Protected and Quiet Areas) showed the highest capacity in 13 out of 29 ES, that were mostly linked with natural and forest ecosystems. We found significant synergies among most regulating, supporting and cultural ES which in turn display trade-offs with provisioning services. The different ES are spatially related and display strong correlation with landscape properties, such as elevation and slope. We suggest that the designation status of an area can be used as an alternative tool for environmental policy, indicating the capacity for ES provision. Multiple designations of areas can be used as proxies for locating ES “hotspots”. This integration of “traditional” evaluation and designation and the “newer” ES concept forms a time- and cost-effective way to be adopted by stakeholders and policy-makers in order to start complying with new standards and demands for nature conservation and environmental management."],"publicationdate":"2017-01-01","publisher":"Pensoft Publishers","embargoenddate":null,"source":["One Ecosystem 2: e13718"],"format":["text/html"],"contributor":[],"coverage":[],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":{"name":"One 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+{"author":[{"fullname":"Nikolaidou,Charitini","name":"Charitini","surname":"Nikolaidou","rank":1,"pid":null},{"fullname":"Votsi,Nefta","name":"Nefta","surname":"Votsi","rank":2,"pid":{"id":{"scheme":"orcid","value":"0000-0001-6651-1178"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}},{"fullname":"Sgardelis,Steanos","name":"Steanos","surname":"Sgardelis","rank":3,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0001-6651-1178"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}},{"fullname":"Halley,John","name":"John","surname":"Halley","rank":4,"pid":null},{"fullname":"Pantis,John","name":"John","surname":"Pantis","rank":5,"pid":{"id":{"scheme":"orcid","value":"0000-0001-6651-1178"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}},{"fullname":"Tsiafouli,Maria","name":"Maria","surname":"Tsiafouli","rank":6,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0001-6651-1178"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}}],"type":"publication","language":{"code":"eng","label":"English"},"country":[{"code":"IT","label":"Italy","provenance":null}],"subjects":[{"subject":{"scheme":"ACM","value":"Ecosystem 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synergies"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":" cultural services"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"provisioning services"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"regulating services"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}},{"subject":{"scheme":"","value":"supporting services"},"provenance":{"provenance":"sysimport:crosswalk:repository","trust":"0.9"}}],"maintitle":"Ecosystem Service capacity is higher in areas of multiple designation types","subtitle":null,"description":["The implementation of the Ecosystem Service (ES) concept into practice might be a challenging task as it has to take into account previous “traditional” policies and approaches that have evaluated nature and biodiversity differently. Among them the Habitat (92/43/EC) and Bird Directives (79/409/EC), the Water Framework Directive (2000/60/EC), and the Noise Directive (2002/49/EC) have led to the evaluation/designation of areas in Europe with different criteria. In this study our goal was to understand how the ES capacity of an area is related to its designation and if areas with multiple designations have higher capacity in providing ES. We selected four catchments in Greece with a great variety of characteristics covering over 25% of the national territory. Inside the catchments we assessed the ES capacity (following the methodology of Burkhard et al. 2009) of areas designated as Natura 2000 sites, Quiet areas and Wetlands or Water bodies and found those areas that have multiple designations. Data were analyzed by GLM to reveal differences regarding the ES capacity among the different types of areas. We also investigated by PCA synergies and trade-offs among different kinds of ES and tested for correlations among landscape properties, such as elevation, aspect and slope and the ES potential. Our results show that areas with different types or multiple designations have a different capacity in providing ES. Areas of one designation type (Protected or Quiet Areas) had in general intermediate scores in most ES but scores were higher compared to areas with no designation, which displayed stronger capacity in provisioning services. Among Protected Areas and Quiet Areas the latter scored better in general. Areas that combined both designation types (Protected and Quiet Areas) showed the highest capacity in 13 out of 29 ES, that were mostly linked with natural and forest ecosystems. We found significant synergies among most regulating, supporting and cultural ES which in turn display trade-offs with provisioning services. The different ES are spatially related and display strong correlation with landscape properties, such as elevation and slope. We suggest that the designation status of an area can be used as an alternative tool for environmental policy, indicating the capacity for ES provision. Multiple designations of areas can be used as proxies for locating ES “hotspots”. This integration of “traditional” evaluation and designation and the “newer” ES concept forms a time- and cost-effective way to be adopted by stakeholders and policy-makers in order to start complying with new standards and demands for nature conservation and environmental management."],"publicationdate":"2017-01-01","publisher":"Pensoft Publishers","embargoenddate":null,"source":["One Ecosystem 2: e13718"],"format":["text/html"],"contributor":[],"coverage":[],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":{"name":"One 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b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestApply.scala similarity index 100% rename from dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestApply.scala rename to dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestApply.scala diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala similarity index 96% rename from dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala rename to dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala index a3a753a8a..7abce547f 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala +++ b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala @@ -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 diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala similarity index 98% rename from dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala rename to dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala index 5b00e9b6f..0922f2e19 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala +++ b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala @@ -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{ diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/resolution/ResolveEntitiesTest.scala b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/resolution/ResolveEntitiesTest.scala similarity index 72% rename from dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/resolution/ResolveEntitiesTest.scala rename to dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/resolution/ResolveEntitiesTest.scala index 46bf48974..c22243f94 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/resolution/ResolveEntitiesTest.scala +++ b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/oa/graph/resolution/ResolveEntitiesTest.scala @@ -4,7 +4,7 @@ package eu.dnetlib.dhp.oa.graph.resolution import com.fasterxml.jackson.databind.ObjectMapper import eu.dnetlib.dhp.schema.common.EntityType import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils -import eu.dnetlib.dhp.schema.oaf.{Result, StructuredProperty} +import eu.dnetlib.dhp.schema.oaf.{Publication, Result, StructuredProperty} import org.apache.commons.io.FileUtils import org.apache.spark.SparkConf import org.apache.spark.sql._ @@ -146,27 +146,47 @@ class ResolveEntitiesTest extends Serializable { implicit val resEncoder: Encoder[Result] = Encoders.kryo(classOf[Result]) val m = new ObjectMapper() SparkResolveEntities.resolveEntities(spark,s"$workingDir/work", s"$workingDir/updates" ) - SparkResolveEntities.generateResolvedEntities(spark,s"$workingDir/work",s"$workingDir/graph" ) + SparkResolveEntities.generateResolvedEntities(spark,s"$workingDir/work",s"$workingDir/graph", s"$workingDir/target" ) - val pubDS:Dataset[Result] = spark.read.text(s"$workingDir/work/resolvedGraph/publication").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.publication)) + val pubDS:Dataset[Result] = spark.read.text(s"$workingDir/target/publication").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.publication)) val t = pubDS.filter(p => p.getTitle!=null && p.getSubject!=null).filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE"))).count() + var ct = pubDS.count() + var et = pubDS.filter(p => p.getTitle!= null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty)).count() - val datDS:Dataset[Result] = spark.read.text(s"$workingDir/work/resolvedGraph/dataset").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.dataset)) + assertEquals(ct, et) + + + + val datDS:Dataset[Result] = spark.read.text(s"$workingDir/target/dataset").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.dataset)) val td = datDS.filter(p => p.getTitle!=null && p.getSubject!=null).filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE"))).count() + ct = datDS.count() + et = datDS.filter(p => p.getTitle!= null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty)).count() + assertEquals(ct, et) - val softDS:Dataset[Result] = spark.read.text(s"$workingDir/work/resolvedGraph/software").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.software)) + val softDS:Dataset[Result] = spark.read.text(s"$workingDir/target/software").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.software)) val ts = softDS.filter(p => p.getTitle!=null && p.getSubject!=null).filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE"))).count() + ct = softDS.count() + et = softDS.filter(p => p.getTitle!= null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty)).count() + assertEquals(ct, et) - val orpDS:Dataset[Result] = spark.read.text(s"$workingDir/work/resolvedGraph/otherresearchproduct").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.otherresearchproduct)) + val orpDS:Dataset[Result] = spark.read.text(s"$workingDir/target/otherresearchproduct").as[String].map(s => SparkResolveEntities.deserializeObject(s, EntityType.otherresearchproduct)) val to = orpDS.filter(p => p.getTitle!=null && p.getSubject!=null).filter(p => p.getTitle.asScala.exists(t => t.getValue.equalsIgnoreCase("FAKETITLE"))).count() + ct = orpDS.count() + et = orpDS.filter(p => p.getTitle!= null && p.getTitle.asScala.forall(t => t.getValue != null && t.getValue.nonEmpty)).count() + assertEquals(ct, et) + + + + + assertEquals(0, t) assertEquals(2, td) assertEquals(1, ts) @@ -178,6 +198,32 @@ class ResolveEntitiesTest extends Serializable { + @Test + def testMerge():Unit = { + + val r = new Result + r.setSubject(List(OafMapperUtils.structuredProperty(FAKE_SUBJECT, OafMapperUtils.qualifier("fos","fosCS", "fossSchema", "fossiFIgo"), null)).asJava) + + val mapper = new ObjectMapper() + + val p = mapper.readValue(Source.fromInputStream(this.getClass.getResourceAsStream(s"publication")).mkString.lines.next(), classOf[Publication]) + + + r.mergeFrom(p) + + + println(mapper.writeValueAsString(r)) + + + + + + + + + } + + diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/sx/graph/scholix/ScholixGraphTest.scala b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/sx/graph/scholix/ScholixGraphTest.scala similarity index 99% rename from dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/sx/graph/scholix/ScholixGraphTest.scala rename to dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/sx/graph/scholix/ScholixGraphTest.scala index bd7e4fd09..04b1f9ecd 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/sx/graph/scholix/ScholixGraphTest.scala +++ b/dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/sx/graph/scholix/ScholixGraphTest.scala @@ -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) } diff --git a/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/model/XmlInstance.java b/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/model/XmlInstance.java new file mode 100644 index 000000000..a38329750 --- /dev/null +++ b/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/model/XmlInstance.java @@ -0,0 +1,158 @@ + +package eu.dnetlib.dhp.oa.provision.model; + +import java.util.Set; + +import com.google.common.collect.Sets; + +import eu.dnetlib.dhp.schema.common.ModelConstants; +import eu.dnetlib.dhp.schema.oaf.*; +import scala.Serializable; + +public class XmlInstance implements Serializable { + + public static final AccessRight UNKNOWN_ACCESS_RIGHT; + + static { + UNKNOWN_ACCESS_RIGHT = new AccessRight(); + UNKNOWN_ACCESS_RIGHT.setClassid(ModelConstants.UNKNOWN); + UNKNOWN_ACCESS_RIGHT.setClassname(ModelConstants.UNKNOWN); + UNKNOWN_ACCESS_RIGHT.setSchemeid(ModelConstants.DNET_ACCESS_MODES); + UNKNOWN_ACCESS_RIGHT.setSchemename(ModelConstants.DNET_ACCESS_MODES); + } + + private String url; + + private AccessRight accessright; + + private Set collectedfrom = Sets.newHashSet(); + + private Set hostedby = Sets.newHashSet(); + + private Set instancetype = Sets.newHashSet(); + + private Set license = Sets.newHashSet(); + + // other research products specifc + private Set distributionlocation = Sets.newHashSet(); + + private Set pid = Sets.newHashSet(); + + private Set alternateIdentifier = Sets.newHashSet(); + + private Set dateofacceptance = Sets.newHashSet(); + + // ( article | book ) processing charges. Defined here to cope with possible wrongly typed + // results + private String processingchargeamount; + + // currency - alphabetic code describe in ISO-4217. Defined here to cope with possible wrongly + // typed results + private String processingchargecurrency; + + private Set refereed = Sets.newHashSet();; // peer-review status + + public String getUrl() { + return url; + } + + public void setUrl(String url) { + this.url = url; + } + + public AccessRight getAccessright() { + return accessright; + } + + public void setAccessright(AccessRight accessright) { + this.accessright = accessright; + } + + public Set getCollectedfrom() { + return collectedfrom; + } + + public void setCollectedfrom(Set collectedfrom) { + this.collectedfrom = collectedfrom; + } + + public Set getHostedby() { + return hostedby; + } + + public void setHostedby(Set hostedby) { + this.hostedby = hostedby; + } + + public Set getInstancetype() { + return instancetype; + } + + public void setInstancetype(Set instancetype) { + this.instancetype = instancetype; + } + + public Set getLicense() { + return license; + } + + public void setLicense(Set license) { + this.license = license; + } + + public Set getDistributionlocation() { + return distributionlocation; + } + + public void setDistributionlocation(Set distributionlocation) { + this.distributionlocation = distributionlocation; + } + + public Set getPid() { + return pid; + } + + public void setPid(Set pid) { + this.pid = pid; + } + + public Set getAlternateIdentifier() { + return alternateIdentifier; + } + + public void setAlternateIdentifier(Set alternateIdentifier) { + this.alternateIdentifier = alternateIdentifier; + } + + public Set getDateofacceptance() { + return dateofacceptance; + } + + public void setDateofacceptance(Set dateofacceptance) { + this.dateofacceptance = dateofacceptance; + } + + public String getProcessingchargeamount() { + return processingchargeamount; + } + + public void setProcessingchargeamount(String processingchargeamount) { + this.processingchargeamount = processingchargeamount; + } + + public String getProcessingchargecurrency() { + return processingchargecurrency; + } + + public void setProcessingchargecurrency(String processingchargecurrency) { + this.processingchargecurrency = processingchargecurrency; + } + + public Set getRefereed() { + return refereed; + } + + public void setRefereed(Set refereed) { + this.refereed = refereed; + } +} diff --git a/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/TemplateFactory.java b/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/TemplateFactory.java index 7487f0956..87c0261ac 100644 --- a/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/TemplateFactory.java +++ b/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/TemplateFactory.java @@ -8,11 +8,16 @@ import java.io.IOException; import java.util.ArrayList; import java.util.Collection; import java.util.List; +import java.util.Optional; import java.util.stream.Collectors; +import javax.swing.text.html.Option; + import org.apache.commons.lang3.StringUtils; import org.stringtemplate.v4.ST; +import com.google.common.collect.Lists; + import eu.dnetlib.dhp.schema.oaf.DataInfo; import eu.dnetlib.dhp.schema.oaf.OafEntity; @@ -94,13 +99,15 @@ public class TemplateFactory { } public String getInstance( - final String resultId, final List instancemetadata, final List webresources) { + final List instancemetadata, final String url) { return getTemplate(resources.getInstance()) - .add("instanceId", escapeXml(removePrefix(resultId))) .add("metadata", instancemetadata) .add( "webresources", - (webresources != null ? webresources : new ArrayList()) + Optional + .ofNullable(url) + .map(u -> Lists.newArrayList(url)) + .orElse(Lists.newArrayList()) .stream() .filter(StringUtils::isNotBlank) .map(this::getWebResource) diff --git a/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/XmlRecordFactory.java b/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/XmlRecordFactory.java index 19300d77d..af7c7b7c3 100644 --- a/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/XmlRecordFactory.java +++ b/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/XmlRecordFactory.java @@ -10,24 +10,18 @@ import java.io.IOException; import java.io.Serializable; import java.io.StringReader; import java.io.StringWriter; -import java.util.ArrayList; -import java.util.HashSet; -import java.util.List; -import java.util.Map; -import java.util.Objects; -import java.util.Optional; -import java.util.Set; +import java.net.URL; +import java.util.*; import java.util.stream.Collectors; +import java.util.stream.Stream; -import javax.xml.transform.OutputKeys; -import javax.xml.transform.Transformer; -import javax.xml.transform.TransformerConfigurationException; -import javax.xml.transform.TransformerException; -import javax.xml.transform.TransformerFactory; +import javax.xml.transform.*; import javax.xml.transform.dom.DOMSource; import javax.xml.transform.stream.StreamResult; import org.apache.commons.lang3.StringUtils; +import org.apache.commons.lang3.tuple.ImmutablePair; +import org.apache.commons.lang3.tuple.Pair; import org.apache.spark.util.LongAccumulator; import org.dom4j.Document; import org.dom4j.DocumentException; @@ -49,25 +43,10 @@ import com.mycila.xmltool.XMLTag; import eu.dnetlib.dhp.oa.provision.model.JoinedEntity; import eu.dnetlib.dhp.oa.provision.model.RelatedEntity; import eu.dnetlib.dhp.oa.provision.model.RelatedEntityWrapper; -import eu.dnetlib.dhp.schema.common.EntityType; -import eu.dnetlib.dhp.schema.common.MainEntityType; -import eu.dnetlib.dhp.schema.common.ModelConstants; -import eu.dnetlib.dhp.schema.common.ModelSupport; -import eu.dnetlib.dhp.schema.oaf.Dataset; -import eu.dnetlib.dhp.schema.oaf.Datasource; -import eu.dnetlib.dhp.schema.oaf.ExternalReference; -import eu.dnetlib.dhp.schema.oaf.ExtraInfo; -import eu.dnetlib.dhp.schema.oaf.Instance; -import eu.dnetlib.dhp.schema.oaf.Journal; -import eu.dnetlib.dhp.schema.oaf.KeyValue; -import eu.dnetlib.dhp.schema.oaf.OafEntity; -import eu.dnetlib.dhp.schema.oaf.Organization; -import eu.dnetlib.dhp.schema.oaf.OtherResearchProduct; -import eu.dnetlib.dhp.schema.oaf.Project; -import eu.dnetlib.dhp.schema.oaf.Publication; -import eu.dnetlib.dhp.schema.oaf.Relation; +import eu.dnetlib.dhp.oa.provision.model.XmlInstance; +import eu.dnetlib.dhp.schema.common.*; +import eu.dnetlib.dhp.schema.oaf.*; import eu.dnetlib.dhp.schema.oaf.Result; -import eu.dnetlib.dhp.schema.oaf.Software; import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory; public class XmlRecordFactory implements Serializable { @@ -1112,37 +1091,64 @@ public class XmlRecordFactory implements Serializable { if (MainEntityType.result.toString().equals(ModelSupport.getMainType(entityType))) { final List instances = ((Result) entity).getInstance(); if (instances != null) { - for (final Instance instance : ((Result) entity).getInstance()) { + groupInstancesByUrl(((Result) entity).getInstance()).forEach(instance -> { final List fields = Lists.newArrayList(); if (instance.getAccessright() != null && !instance.getAccessright().isBlank()) { fields .add(XmlSerializationUtils.mapQualifier("accessright", instance.getAccessright())); } - if (instance.getCollectedfrom() != null && kvNotBlank(instance.getCollectedfrom())) { + if (instance.getCollectedfrom() != null) { fields - .add(XmlSerializationUtils.mapKeyValue("collectedfrom", instance.getCollectedfrom())); + .addAll( + instance + .getCollectedfrom() + .stream() + .filter(cf -> kvNotBlank(cf)) + .map(cf -> XmlSerializationUtils.mapKeyValue("collectedfrom", cf)) + .collect(Collectors.toList())); } - if (instance.getHostedby() != null && kvNotBlank(instance.getHostedby())) { - fields.add(XmlSerializationUtils.mapKeyValue("hostedby", instance.getHostedby())); - } - if (instance.getDateofacceptance() != null - && isNotBlank(instance.getDateofacceptance().getValue())) { + + if (instance.getHostedby() != null) { fields - .add( - XmlSerializationUtils - .asXmlElement("dateofacceptance", instance.getDateofacceptance().getValue())); + .addAll( + instance + .getHostedby() + .stream() + .filter(hb -> kvNotBlank(hb)) + .map(hb -> XmlSerializationUtils.mapKeyValue("hostedby", hb)) + .collect(Collectors.toList())); } - if (instance.getInstancetype() != null && !instance.getInstancetype().isBlank()) { + if (instance.getDateofacceptance() != null) { fields - .add(XmlSerializationUtils.mapQualifier("instancetype", instance.getInstancetype())); + .addAll( + instance + .getDateofacceptance() + .stream() + .filter(d -> isNotBlank(d)) + .map(d -> XmlSerializationUtils.asXmlElement("dateofacceptance", d)) + .collect(Collectors.toList())); } - if (isNotBlank(instance.getDistributionlocation())) { + if (instance.getInstancetype() != null) { fields - .add( - XmlSerializationUtils - .asXmlElement("distributionlocation", instance.getDistributionlocation())); + .addAll( + instance + .getInstancetype() + .stream() + .filter(t -> !t.isBlank()) + .map(t -> XmlSerializationUtils.mapQualifier("instancetype", t)) + .collect(Collectors.toList())); + } + if (instance.getDistributionlocation() != null) { + fields + .addAll( + instance + .getDistributionlocation() + .stream() + .filter(d -> isNotBlank(d)) + .map(d -> XmlSerializationUtils.asXmlElement("distributionlocation", d)) + .collect(Collectors.toList())); } if (instance.getPid() != null) { fields @@ -1165,32 +1171,50 @@ public class XmlRecordFactory implements Serializable { .collect(Collectors.toList())); } - if (instance.getRefereed() != null && !instance.getRefereed().isBlank()) { + if (instance.getRefereed() != null) { fields - .add(XmlSerializationUtils.mapQualifier("refereed", instance.getRefereed())); + .addAll( + instance + .getRefereed() + .stream() + .filter(Objects::nonNull) + .filter(r -> !r.isBlank()) + .map(r -> XmlSerializationUtils.mapQualifier("refereed", r)) + .collect(Collectors.toList())); } if (instance.getProcessingchargeamount() != null - && isNotBlank(instance.getProcessingchargeamount().getValue())) { + && isNotBlank(instance.getProcessingchargeamount())) { fields .add( XmlSerializationUtils .asXmlElement( - "processingchargeamount", instance.getProcessingchargeamount().getValue())); + "processingchargeamount", instance.getProcessingchargeamount())); } if (instance.getProcessingchargecurrency() != null - && isNotBlank(instance.getProcessingchargecurrency().getValue())) { + && isNotBlank(instance.getProcessingchargecurrency())) { fields .add( XmlSerializationUtils .asXmlElement( - "processingchargecurrency", instance.getProcessingchargecurrency().getValue())); + "processingchargecurrency", instance.getProcessingchargecurrency())); + } + + if (instance.getLicense() != null) { + fields + .addAll( + instance + .getLicense() + .stream() + .filter(d -> isNotBlank(d)) + .map(d -> XmlSerializationUtils.asXmlElement("license", d)) + .collect(Collectors.toList())); } children .add( templateFactory - .getInstance(instance.getHostedby().getKey(), fields, instance.getUrl())); - } + .getInstance(fields, instance.getUrl())); + }); } final List ext = ((Result) entity).getExternalReference(); if (ext != null) { @@ -1234,6 +1258,97 @@ public class XmlRecordFactory implements Serializable { return children; } + private Stream groupInstancesByUrl(List instance) { + return instance + .stream() + .filter(i -> Objects.nonNull(i.getUrl())) + .map(i -> { + i + .setUrl( + i + .getUrl() + .stream() + .filter(this::isValidUrl) + .collect(Collectors.toList())); + return i; + }) + .filter( + i -> Optional + .ofNullable(i.getUrl()) + .map(u -> !u.isEmpty()) + .orElse(false)) + .map(this::pickByUrl) + .collect(Collectors.groupingBy(ImmutablePair::getLeft)) + .values() + .stream() + .filter(Objects::nonNull) + .map(this::mergeInstances); + } + + private boolean isValidUrl(String url) { + try { + new URL(url).toURI(); + return true; + } catch (Exception e) { + return false; + } + } + + private ImmutablePair pickByUrl(Instance i) { + return new ImmutablePair<>(i.getUrl().get(0), i); + } + + private XmlInstance mergeInstances(List> instances) { + + final XmlInstance instance = new XmlInstance(); + + instance.setUrl(instances.get(0).getLeft()); + instance + .setAccessright( + instances + .stream() + .map(Pair::getValue) + .map(Instance::getAccessright) + .min(new AccessRightComparator()) + .orElse(XmlInstance.UNKNOWN_ACCESS_RIGHT)); + + instances.forEach(p -> { + final Instance i = p.getRight(); + instance.getCollectedfrom().add(i.getCollectedfrom()); + instance.getHostedby().add(i.getHostedby()); + instance.getInstancetype().add(i.getInstancetype()); + instance.getRefereed().add(i.getRefereed()); + instance + .setProcessingchargeamount( + Optional.ofNullable(i.getProcessingchargeamount()).map(apc -> apc.getValue()).orElse(null)); + instance + .setProcessingchargecurrency( + Optional.ofNullable(i.getProcessingchargecurrency()).map(c -> c.getValue()).orElse(null)); + Optional + .ofNullable(i.getPid()) + .ifPresent(pid -> instance.getPid().addAll(pid)); + Optional + .ofNullable(i.getAlternateIdentifier()) + .ifPresent(altId -> instance.getAlternateIdentifier().addAll(altId)); + Optional + .ofNullable(i.getDateofacceptance()) + .ifPresent(d -> instance.getDateofacceptance().add(d.getValue())); + Optional + .ofNullable(i.getLicense()) + .ifPresent(license -> instance.getLicense().add(license.getValue())); + Optional + .ofNullable(i.getDistributionlocation()) + .ifPresent(dl -> instance.getDistributionlocation().add(dl)); + }); + + if (instance.getHostedby().size() > 1 + && instance.getHostedby().stream().anyMatch(hb -> ModelConstants.UNKNOWN_REPOSITORY.equals(hb))) { + instance.getHostedby().remove(ModelConstants.UNKNOWN_REPOSITORY); + } + + return instance; + } + private boolean isDuplicate(final RelatedEntityWrapper link) { return ModelConstants.DEDUP.equalsIgnoreCase(link.getRelation().getSubRelType()); } diff --git a/dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/oa/provision/template/instance.st b/dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/oa/provision/template/instance.st index 64bed05b4..811d10936 100644 --- a/dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/oa/provision/template/instance.st +++ b/dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/oa/provision/template/instance.st @@ -1,4 +1,4 @@ - + $metadata:{ it | $it$ }$ $webresources:{ it | $it$ }$ \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java b/dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java index 2b5e08e92..a4b6182bc 100644 --- a/dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java +++ b/dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java @@ -12,7 +12,6 @@ import org.apache.commons.io.IOUtils; import org.dom4j.Document; import org.dom4j.DocumentException; import org.dom4j.io.SAXReader; -import org.junit.jupiter.api.Assertions; import org.junit.jupiter.api.Test; import com.fasterxml.jackson.databind.DeserializationFeature; @@ -54,18 +53,19 @@ public class XmlRecordFactoryTest { System.out.println(doc.asXML()); - Assertions.assertEquals("0000-0001-9613-6638", doc.valueOf("//creator[@rank = '1']/@orcid")); - Assertions.assertEquals("0000-0001-9613-6639", doc.valueOf("//creator[@rank = '1']/@orcid_pending")); + assertEquals("0000-0001-9613-6638", doc.valueOf("//creator[@rank = '1']/@orcid")); + assertEquals("0000-0001-9613-6639", doc.valueOf("//creator[@rank = '1']/@orcid_pending")); - Assertions.assertEquals("0000-0001-9613-9956", doc.valueOf("//creator[@rank = '2']/@orcid")); - Assertions.assertEquals("", doc.valueOf("//creator[@rank = '2']/@orcid_pending")); + assertEquals("0000-0001-9613-9956", doc.valueOf("//creator[@rank = '2']/@orcid")); + assertEquals("", doc.valueOf("//creator[@rank = '2']/@orcid_pending")); - Assertions.assertEquals("doi", doc.valueOf("//instance/pid/@classid")); - Assertions.assertEquals("10.1109/TED.2018.2853550", doc.valueOf("//instance/pid/text()")); + assertEquals("doi", doc.valueOf("//instance/pid/@classid")); + assertEquals("10.1109/TED.2018.2853550", doc.valueOf("//instance/pid/text()")); - Assertions.assertEquals("doi", doc.valueOf("//instance/alternateidentifier/@classid")); - Assertions.assertEquals("10.5689/LIB.2018.2853550", doc.valueOf("//instance/alternateidentifier/text()")); - // TODO add assertions based of values extracted from the XML record + assertEquals("doi", doc.valueOf("//instance/alternateidentifier/@classid")); + assertEquals("10.5689/LIB.2018.2853550", doc.valueOf("//instance/alternateidentifier/text()")); + + assertEquals(3, doc.selectNodes("//instance").size()); } @Test @@ -96,7 +96,7 @@ public class XmlRecordFactoryTest { final Document doc = new SAXReader().read(new StringReader(xml)); assertNotNull(doc); System.out.println(doc.asXML()); - Assertions.assertEquals("2021-01-01", doc.valueOf("//validated/@date")); + assertEquals("2021-01-01", doc.valueOf("//validated/@date")); } @Test diff --git a/dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/publication.json b/dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/publication.json index 91f159853..d5aa13ed6 100644 --- a/dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/publication.json +++ b/dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/publication.json @@ -412,9 +412,800 @@ "value": "" }, "url": [ - "http://juuli.fi/Record/0331473718", "http://dx.doi.org/10.1109/TED.2018.2853550" ] + }, + { + "pid": [ + { + "dataInfo": { + "deletedbyinference": false, + "inferenceprovenance": "", + "inferred": false, + "invisible": false, + "provenanceaction": { + "classid": "", + "classname": "", + "schemeid": "", + "schemename": "" + }, + "trust": "" + }, + "qualifier": { + "classid": "doi", + "classname": "doi", + "schemeid": "dnet:pid_types", + "schemename": "dnet:pid_types" + }, + "value": "10.1109/TED.2018.2853550" + } + ], + "alternateIdentifier": [ + { + "dataInfo": { + "deletedbyinference": false, + "inferenceprovenance": "", + "inferred": false, + "invisible": false, + "provenanceaction": { + "classid": "", + "classname": "", + "schemeid": "", + "schemename": "" + }, + "trust": "" + }, + "qualifier": { + "classid": "doi", + "classname": "doi", + "schemeid": "dnet:pid_types", + "schemename": "dnet:pid_types" + }, + "value": "10.5689/LIB.2018.2853550" + } + ], + "accessright": { + "classid": "CLOSED", + "classname": "Closed Access", + "schemeid": "dnet:access_modes", + "schemename": "dnet:access_modes" + }, + "collectedfrom": { + "dataInfo": { + "deletedbyinference": false, + "inferenceprovenance": "", + "inferred": false, + "invisible": false, + "provenanceaction": { + "classid": "", + "classname": "", + "schemeid": "", + "schemename": "" + }, + "trust": "" + }, + "key": "10|od______3456::b2b9ce8435390bcbfc05f3cae3948567", + "value": "A wonderful repository" + }, + "dateofacceptance": { + "dataInfo": { + "deletedbyinference": false, + "inferenceprovenance": "", + "inferred": false, + "invisible": false, + "provenanceaction": { + "classid": "", + "classname": "", + "schemeid": "", + "schemename": "" + }, + "trust": "" + }, + "value": "2020-01-01" + }, + "distributionlocation": "", + "hostedby": { + "dataInfo": { + "deletedbyinference": false, + "inferenceprovenance": "", + "inferred": false, + "invisible": false, + "provenanceaction": { + "classid": "", + "classname": "", + "schemeid": "", + "schemename": "" + }, + "trust": "" + }, + "key": "10|openaire____::55045bd2a65019fd8e6741a755395c8c", + "value": "Unknown Repository" + }, + "instancetype": { + "classid": "0001", + "classname": "Article", + "schemeid": "dnet:dataCite_resource", + "schemename": "dnet:dataCite_resource" + }, + "license": { + "dataInfo": { + "deletedbyinference": false, + "inferenceprovenance": "", + "inferred": false, + "invisible": false, + "provenanceaction": { + "classid": "", + "classname": "", + "schemeid": "", + "schemename": "" + }, + "trust": "" + }, + "value": "CC-BY" + }, + "url": [ + "http://dx.doi.org/10.1109/TED.2018.2853550" + ] + }, + { + "pid": [ + { + "dataInfo": { + "deletedbyinference": false, + "inferenceprovenance": "", + "inferred": false, + "invisible": false, + "provenanceaction": { + "classid": "", + "classname": "", + "schemeid": "", + "schemename": "" + }, + "trust": "" + }, + "qualifier": { + "classid": "doi", + "classname": "doi", + 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"classid": "0001", + "classname": "Article", + "schemeid": "dnet:dataCite_resource", + "schemename": "dnet:dataCite_resource" + }, + "license": { + "dataInfo": { + "deletedbyinference": false, + "inferenceprovenance": "", + "inferred": false, + "invisible": false, + "provenanceaction": { + "classid": "", + "classname": "", + "schemeid": "", + "schemename": "" + }, + "trust": "" + }, + "value": "" + }, + "url": [ + "asdasd://not a URL" + ] } ], "journal": { diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step16-createIndicatorsTables.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step16-createIndicatorsTables.sql index 0ea4a5adc..926c8825f 100644 --- a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step16-createIndicatorsTables.sql +++ b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step16-createIndicatorsTables.sql @@ -8,7 +8,7 @@ join result_instance ri on ri.id = p.id join datasource on datasource.id = ri.hostedby where datasource.type like '%Repository%' and (ri.accessright = 'Open Access' -or ri.accessright = 'Embargo')) tmp +or ri.accessright = 'Embargo' or ri.accessright = 'Open Source')) tmp on p.id= tmp.id; create table indi_pub_grey_lit stored as parquet as @@ -41,178 +41,178 @@ join datasource on datasource.id = ri.hostedby where datasource.id like '%doajarticles%') tmp on p.id= tmp.id; -create table indi_project_pubs_count stored as parquet as -select pr.id id, count(p.id) total_pubs from project_results pr -join publication p on p.id=pr.result -group by pr.id; +--create table indi_project_pubs_count stored as parquet as +--select pr.id id, count(p.id) total_pubs from project_results pr +--join publication p on p.id=pr.result +--group by pr.id; -create table indi_project_datasets_count stored as parquet as -select pr.id id, count(d.id) total_datasets from project_results pr -join dataset d on d.id=pr.result -group by pr.id; +--create table indi_project_datasets_count stored as parquet as +--select pr.id id, count(d.id) total_datasets from project_results pr +--join dataset d on d.id=pr.result +--group by pr.id; -create table indi_project_software_count stored as parquet as -select pr.id id, count(s.id) total_software from project_results pr -join software s on s.id=pr.result -group by pr.id; +--create table indi_project_software_count stored as parquet as +--select pr.id id, count(s.id) total_software from project_results pr +--join software s on s.id=pr.result +--group by pr.id; -create table indi_project_otherresearch_count stored as parquet as -select pr.id id, count(o.id) total_other from project_results pr -join otherresearchproduct o on o.id=pr.result -group by pr.id; +--create table indi_project_otherresearch_count stored as parquet as +--select pr.id id, count(o.id) total_other from project_results pr +--join otherresearchproduct o on o.id=pr.result +--group by pr.id; -create table indi_pub_avg_year_country_oa stored as parquet as -select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA, -round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA - from - (SELECT year, country, SUM(CASE - WHEN bestlicence='Open Access' THEN 1 - ELSE 0 - END) AS OpenAccess, SUM(CASE - WHEN bestlicence<>'Open Access' THEN 1 - ELSE 0 - END) AS NonOpenAccess - FROM publication p - join result_organization ro on p.id=ro.id - join organization o on o.id=ro.organization - where cast(year as int)>=2003 and cast(year as int)<=2021 - group by year, country) tmp; +--create table indi_pub_avg_year_country_oa stored as parquet as +--select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA, +--round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA + --from + --(SELECT year, country, SUM(CASE + --WHEN bestlicence='Open Access' THEN 1 + --ELSE 0 + --END) AS OpenAccess, SUM(CASE + --WHEN bestlicence<>'Open Access' THEN 1 + --ELSE 0 + --END) AS NonOpenAccess + --FROM publication p + --join result_organization ro on p.id=ro.id + --join organization o on o.id=ro.organization + --where cast(year as int)>=2003 and cast(year as int)<=2021 + --group by year, country) tmp; -create table indi_dataset_avg_year_country_oa stored as parquet as -select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA, -round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA - from - (SELECT year, country, SUM(CASE - WHEN bestlicence='Open Access' THEN 1 - ELSE 0 - END) AS OpenAccess, SUM(CASE - WHEN bestlicence<>'Open Access' THEN 1 - ELSE 0 - END) AS NonOpenAccess - FROM dataset d - join result_organization ro on d.id=ro.id - join organization o on o.id=ro.organization - where cast(year as int)>=2003 and cast(year as int)<=2021 - group by year, country) tmp; +--create table indi_dataset_avg_year_country_oa stored as parquet as +--select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA, +--round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA +--from + --(SELECT year, country, SUM(CASE + --WHEN bestlicence='Open Access' THEN 1 + --ELSE 0 + --END) AS OpenAccess, SUM(CASE + --WHEN bestlicence<>'Open Access' THEN 1 + --ELSE 0 + --END) AS NonOpenAccess + --FROM dataset d + --join result_organization ro on d.id=ro.id + --join organization o on o.id=ro.organization + --where cast(year as int)>=2003 and cast(year as int)<=2021 + --group by year, country) tmp; -create table indi_software_avg_year_country_oa stored as parquet as -select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA, -round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA - from - (SELECT year, country, SUM(CASE - WHEN bestlicence='Open Access' THEN 1 - ELSE 0 - END) AS OpenAccess, SUM(CASE - WHEN bestlicence<>'Open Access' THEN 1 - ELSE 0 - END) AS NonOpenAccess - FROM software s - join result_organization ro on s.id=ro.id - join organization o on o.id=ro.organization - where cast(year as int)>=2003 and cast(year as int)<=2021 - group by year, country) tmp; +--create table indi_software_avg_year_country_oa stored as parquet as +--select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA, +--round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA +--from +-- (SELECT year, country, SUM(CASE + --WHEN bestlicence='Open Access' THEN 1 +-- ELSE 0 +--END) AS OpenAccess, SUM(CASE +-- WHEN bestlicence<>'Open Access' THEN 1 +-- ELSE 0 +-- END) AS NonOpenAccess +-- FROM software s +-- join result_organization ro on s.id=ro.id +-- join organization o on o.id=ro.organization +-- where cast(year as int)>=2003 and cast(year as int)<=2021 +-- group by year, country) tmp; -create table indi_other_avg_year_country_oa stored as parquet as -select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA, -round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA - from - (SELECT year, country, SUM(CASE - WHEN bestlicence='Open Access' THEN 1 - ELSE 0 - END) AS OpenAccess, SUM(CASE - WHEN bestlicence<>'Open Access' THEN 1 - ELSE 0 - END) AS NonOpenAccess - FROM otherresearchproduct orp - join result_organization ro on orp.id=ro.id - join organization o on o.id=ro.organization - where cast(year as int)>=2003 and cast(year as int)<=2021 - group by year, country) tmp; +--create table indi_other_avg_year_country_oa stored as parquet as +--select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA, +--round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA +-- from +-- (SELECT year, country, SUM(CASE +-- WHEN bestlicence='Open Access' THEN 1 +-- ELSE 0 +-- END) AS OpenAccess, SUM(CASE +-- WHEN bestlicence<>'Open Access' THEN 1 +-- ELSE 0 +-- END) AS NonOpenAccess +-- FROM otherresearchproduct orp +-- join result_organization ro on orp.id=ro.id +-- join organization o on o.id=ro.organization +-- where cast(year as int)>=2003 and cast(year as int)<=2021 +-- group by year, country) tmp; -create table indi_pub_avg_year_context_oa stored as parquet as -with total as -(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from publication_concepts pc -join context c on pc.concept like concat('%',c.id,'%') -join publication p on p.id=pc.id -where cast(year as int)>=2003 and cast(year as int)<=2021 -group by c.name, year ) -select year, name, round(no_of_pubs/total*100,3) averageofpubs -from total; +--create table indi_pub_avg_year_context_oa stored as parquet as +--with total as +--(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from publication_concepts pc +--join context c on pc.concept like concat('%',c.id,'%') +--join publication p on p.id=pc.id +--where cast(year as int)>=2003 and cast(year as int)<=2021 +--group by c.name, year ) +--select year, name, round(no_of_pubs/total*100,3) averageofpubs +--from total; -create table indi_dataset_avg_year_context_oa stored as parquet as -with total as -(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from dataset_concepts pc -join context c on pc.concept like concat('%',c.id,'%') -join dataset p on p.id=pc.id -where cast(year as int)>=2003 and cast(year as int)<=2021 -group by c.name, year ) -select year, name, round(no_of_pubs/total*100,3) averageofdataset -from total; +--create table indi_dataset_avg_year_context_oa stored as parquet as +--with total as +--(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from dataset_concepts pc +--join context c on pc.concept like concat('%',c.id,'%') +--join dataset p on p.id=pc.id +--where cast(year as int)>=2003 and cast(year as int)<=2021 +--group by c.name, year ) +--select year, name, round(no_of_pubs/total*100,3) averageofdataset +--from total; -create table indi_software_avg_year_context_oa stored as parquet as -with total as -(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from software_concepts pc -join context c on pc.concept like concat('%',c.id,'%') -join software p on p.id=pc.id -where cast(year as int)>=2003 and cast(year as int)<=2021 -group by c.name, year ) -select year, name, round(no_of_pubs/total*100,3) averageofsoftware -from total; +--create table indi_software_avg_year_context_oa stored as parquet as +--with total as +--(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from software_concepts pc +--join context c on pc.concept like concat('%',c.id,'%') +--join software p on p.id=pc.id +--where cast(year as int)>=2003 and cast(year as int)<=2021 +--group by c.name, year ) +--select year, name, round(no_of_pubs/total*100,3) averageofsoftware +--from total; -create table indi_other_avg_year_context_oa stored as parquet as -with total as -(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from otherresearchproduct_concepts pc -join context c on pc.concept like concat('%',c.id,'%') -join otherresearchproduct p on p.id=pc.id -where cast(year as int)>=2003 and cast(year as int)<=2021 -group by c.name, year ) -select year, name, round(no_of_pubs/total*100,3) averageofother -from total; +--create table indi_other_avg_year_context_oa stored as parquet as +--with total as +--(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from otherresearchproduct_concepts pc +--join context c on pc.concept like concat('%',c.id,'%') +--join otherresearchproduct p on p.id=pc.id +--where cast(year as int)>=2003 and cast(year as int)<=2021 +--group by c.name, year ) +--select year, name, round(no_of_pubs/total*100,3) averageofother +--from total; -create table indi_other_avg_year_content_oa stored as parquet as -with total as -(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total -from otherresearchproduct_datasources pd -join datasource d on datasource=d.id -join otherresearchproduct p on p.id=pd.id -where cast(year as int)>=2003 and cast(year as int)<=2021 -group by d.type, year) -select year, type, round(no_of_pubs/total*100,3) averageOfOtherresearchproduct -from total; +--create table indi_other_avg_year_content_oa stored as parquet as +--with total as +--(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total +--from otherresearchproduct_datasources pd +--join datasource d on datasource=d.id +--join otherresearchproduct p on p.id=pd.id +--where cast(year as int)>=2003 and cast(year as int)<=2021 +--group by d.type, year) +--select year, type, round(no_of_pubs/total*100,3) averageOfOtherresearchproduct +--from total; -create table indi_software_avg_year_content_oa stored as parquet as -with total as -(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total -from software_datasources pd -join datasource d on datasource=d.id -join software p on p.id=pd.id -where cast(year as int)>=2003 and cast(year as int)<=2021 -group by d.type, year) -select year, type, round(no_of_pubs/total*100,3) averageOfSoftware -from total; +--create table indi_software_avg_year_content_oa stored as parquet as +--with total as +--(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total +--from software_datasources pd +--join datasource d on datasource=d.id +--join software p on p.id=pd.id +--where cast(year as int)>=2003 and cast(year as int)<=2021 +--group by d.type, year) +--select year, type, round(no_of_pubs/total*100,3) averageOfSoftware +--from total; -create table indi_dataset_avg_year_content_oa stored as parquet as -with total as -(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total -from dataset_datasources pd -join datasource d on datasource=d.id -join dataset p on p.id=pd.id -where cast(year as int)>=2003 and cast(year as int)<=2021 -group by d.type, year) -select year, type, round(no_of_pubs/total*100,3) averageOfDatasets -from total; +--create table indi_dataset_avg_year_content_oa stored as parquet as +--with total as +--(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total +--from dataset_datasources pd +--join datasource d on datasource=d.id +--join dataset p on p.id=pd.id +--where cast(year as int)>=2003 and cast(year as int)<=2021 +--group by d.type, year) +--select year, type, round(no_of_pubs/total*100,3) averageOfDatasets +--from total; -create table indi_pub_avg_year_content_oa stored as parquet as -with total as -(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total -from publication_datasources pd -join datasource d on datasource=d.id -join publication p on p.id=pd.id -where cast(year as int)>=2003 and cast(year as int)<=2021 -group by d.type, year) -select year, type, round(no_of_pubs/total*100,3) averageOfPubs -from total; +--create table indi_pub_avg_year_content_oa stored as parquet as +--with total as +--(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total +--from publication_datasources pd +--join datasource d on datasource=d.id +--join publication p on p.id=pd.id +--where cast(year as int)>=2003 and cast(year as int)<=2021 +--group by d.type, year) +--select year, type, round(no_of_pubs/total*100,3) averageOfPubs +--from total; create table indi_pub_has_cc_licence stored as parquet as select distinct p.id, (case when lic='' or lic is null then 0 else 1 end) as has_cc_license @@ -231,11 +231,40 @@ join publication_licenses as license on license.id = p.id WHERE lower(parse_url(license.type, 'HOST')) = 'creativecommons.org') tmp on p.id= tmp.id; +-- EOSC-TR1.1-02M: +-- ## Indicator: has_cc_license. Creative Commons licensing has become a +-- de facto standard in scholarly communication and is promoted by many initiatives +-- like Plan S. This indicator might be only useful when applied +-- to openly available publications. +--create table indi_pub_has_cc_licence_tr stored as parquet as +--select distinct p.id, case when lic='' or lic is null then 0 else 1 end as has_cc_license_tr +--from publication p +--left outer join (select p.id, license.type as lic from publication p +--join publication_licenses as license on license.id = p.id +--where lower(license.type) LIKE '%creativecommons.org%' OR lower(license.type) LIKE '%cc-%') tmp +--on p.id= tmp.id + +-- #EOSC-F2-01M_cc Rich metadata for scholarly publications +-- ## Indicator: has_cc_license. Creative Commons licensing has become a +-- de facto standard in scholarly communication and is promoted by many initiatives +-- like Plan S. This indicator might be only useful when applied +-- to openly available publications. + +-- Same indicator as EOSC-TR1.1-02M (Najko's instructions) +-- create table indi_pub_has_cc_licence_f stored as parquet as +-- select +-- distinct p.id, case when lic='' or lic is null then 0 else 1 end as has_cc_license_f +-- from publication p +-- left outer join (selectp.id,license.type as lic from publication p +-- join publication_licenses as license on license.id = p.id +-- where lower(license.type) LIKE '%creativecommons.org%' OR lower(license.type) LIKE '%cc-%') tmp +-- on p.id= tmp.id + create table indi_pub_has_abstract stored as parquet as select distinct publication.id, coalesce(abstract, 1) has_abstract from publication; -create table indi_with_orcid stored as parquet as +create table indi_result_with_orcid stored as parquet as select distinct r.id, coalesce(has_orcid, 0) as has_orcid from result r left outer join (select id, 1 as has_orcid from result_orcid) tmp @@ -270,13 +299,64 @@ join tmp as o2 on o1.result=o2.result where o1.id<>o2.id group by o1.id, o2.id, o1.type -create table indi_result_org_country_collab stored as parquet as -with tmp as -(select o.id as id, o.country , ro.id as result,r.type from organization o -join result_organization ro on o.id=ro.organization -join result r on r.id=ro.id where o.country <> 'UNKNOWN') -select o1.id org1,o2.country country2, o1.type, count(distinct o1.result) as collaborations -from tmp as o1 -join tmp as o2 on o1.result=o2.result -where o1.id<>o2.id and o1.country<>o2.country -group by o1.id, o1.type,o2.country +create table indi_funder_country_collab stored as parquet as +with tmp as (select funder, project, country from organization_projects op +join organization o on o.id=op.id +join project p on p.id=op.project +where country <> 'UNKNOWN') +select f1.funder, f1.country, f2.country, count(distinct f1.project) as collaborations +from tmp as f1 +join tmp as f2 on f1.project=f2.project +where f1.country<>f2.country +group by f1.funder, f2.country, f1.country + +create table indi_pub_diamond stored as parquet as +select distinct pd.id, coalesce(in_diamond_journal, 0) as in_diamond_journal +from publication_datasources pd +left outer join ( +select pd.id, 1 as in_diamond_journal from publication_datasources pd +join datasource d on d.id=pd.datasource +join stats_ext.plan_s_jn ps where (ps.issn_print=d.issn_printed and ps.issn_online=d.issn_online) +and (ps.journal_is_in_doaj=true or ps.journal_is_oa=true) and ps.has_apc=false) tmp +on pd.id=tmp.id + +create table indi_pub_hybrid stored as parquet as +select distinct pd.id, coalesce(is_hybrid, 0) as is_hybrid +from publication_datasources pd +left outer join ( +select pd.id, 1 as is_hybrid from publication_datasources pd +join datasource d on d.id=pd.datasource +join stats_ext.plan_s_jn ps where (ps.issn_print=d.issn_printed and ps.issn_online=d.issn_online) +and (ps.journal_is_in_doaj=false and ps.journal_is_oa=false)) tmp +on pd.id=tmp.id + +create table indi_is_gold_oa stored as parquet as +(select distinct pd.id, coalesce(gold_oa, 0) as gold_oa +from publication_datasources pd +left outer join ( +select pd.id, 1 as gold_oa from publication_datasources pd +join datasource d on d.id=pd.datasource +join stats_ext.plan_s_jn ps on (ps.issn_print=d.issn_printed or ps.issn_online=d.issn_online) +where ps.journal_is_in_doaj is true or ps.journal_is_oa is true) tmp +on pd.id=tmp.id) + + +create table indi_pub_in_transformative stored as parquet as +select distinct pd.id, coalesce(is_transformative, 0) as is_transformative +from publication pd +left outer join ( +select pd.id, 1 as is_transformative from publication_datasources pd +join datasource d on d.id=pd.datasource +join stats_ext.plan_s_jn ps where (ps.issn_print=d.issn_printed and ps.issn_online=d.issn_online) +and ps.is_transformative_journal=true) tmp +on pd.id=tmp.id + +create table indi_pub_closed_other_open stored as parquet as +select distinct ri.id, coalesce(pub_closed_other_open, 0) as pub_closed_other_open from result_instance ri +left outer join +(select ri.id, 1 as pub_closed_other_open from result_instance ri +join publication p on p.id=ri.id +join datasource d on ri.hostedby=d.id +where d.type like '%Journal%' and ri.accessright='Closed Access' and +(p.bestlicence='Open Access' or p.bestlicence='Open Source')) tmp +on tmp.id=ri.id \ No newline at end of file diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB.sql index f4fb2a174..fa8e4c6a7 100644 --- a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB.sql +++ b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB.sql @@ -105,23 +105,6 @@ create table TARGET.project_results stored as parquet as select id as result, pr compute stats TARGET.project_results; -- indicators -create view TARGET.indi_dataset_avg_year_content_oa as select * from SOURCE.indi_dataset_avg_year_content_oa orig; -create view TARGET.indi_dataset_avg_year_context_oa as select * from SOURCE.indi_dataset_avg_year_context_oa orig; -create view TARGET.indi_dataset_avg_year_country_oa as select * from SOURCE.indi_dataset_avg_year_country_oa orig; - -create view TARGET.indi_other_avg_year_content_oa as select * from SOURCE.indi_other_avg_year_content_oa orig; -create view TARGET.indi_other_avg_year_context_oa as select * from SOURCE.indi_other_avg_year_context_oa orig; -create view TARGET.indi_other_avg_year_country_oa as select * from SOURCE.indi_other_avg_year_country_oa orig; - -create view TARGET.indi_project_datasets_count as select * from SOURCE.indi_project_datasets_count orig; -create view TARGET.indi_project_otherresearch_count as select * from SOURCE.indi_project_otherresearch_count orig; -create view TARGET.indi_project_pubs_count as select * from SOURCE.indi_project_pubs_count orig; -create view TARGET.indi_project_software_count as select * from SOURCE.indi_project_software_count orig; - -create view TARGET.indi_pub_avg_year_content_oa as select * from SOURCE.indi_pub_avg_year_content_oa orig; -create view TARGET.indi_pub_avg_year_context_oa as select * from SOURCE.indi_pub_avg_year_context_oa orig; -create view TARGET.indi_pub_avg_year_country_oa as select * from SOURCE.indi_pub_avg_year_country_oa orig; - create table TARGET.indi_pub_green_oa stored as parquet as select * from SOURCE.indi_pub_green_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id); compute stats TARGET.indi_pub_green_oa; create table TARGET.indi_pub_grey_lit stored as parquet as select * from SOURCE.indi_pub_grey_lit orig where exists (select 1 from TARGET.result r where r.id=orig.id); @@ -137,9 +120,20 @@ compute stats TARGET.indi_pub_has_cc_licence; create table TARGET.indi_pub_has_cc_licence_url stored as parquet as select * from SOURCE.indi_pub_has_cc_licence_url orig where exists (select 1 from TARGET.result r where r.id=orig.id); compute stats TARGET.indi_pub_has_cc_licence_url; -create view TARGET.indi_software_avg_year_content_oa as select * from SOURCE.indi_software_avg_year_content_oa orig; -create view TARGET.indi_software_avg_year_context_oa as select * from SOURCE.indi_software_avg_year_context_oa orig; -create view TARGET.indi_software_avg_year_country_oa as select * from SOURCE.indi_software_avg_year_country_oa orig; +create view TARGET.indi_funder_country_collab stored as select * from SOURCE.indi_funder_country_collab; + +create table TARGET.indi_result_with_orcid stored as parquet as select * from SOURCE.indi_result_with_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id); +compute stats TARGET.indi_result_with_orcid; +create table TARGET.indi_funded_result_with_fundref stored as parquet as select * from SOURCE.indi_funded_result_with_fundref orig where exists (select 1 from TARGET.result r where r.id=orig.id); +compute stats TARGET.indi_funded_result_with_fundref; +create table TARGET.indi_pub_diamond stored as parquet as select * from SOURCE.indi_pub_diamond orig where exists (select 1 from TARGET.result r where r.id=orig.id); +compute stats TARGET.indi_pub_diamond; +create table TARGET.indi_pub_hybrid stored as parquet as select * from SOURCE.indi_pub_hybrid orig where exists (select 1 from TARGET.result r where r.id=orig.id); +compute stats TARGET.indi_pub_hybrid; +create table TARGET.indi_pub_in_transformative stored as parquet as select * from SOURCE.indi_pub_in_transformative orig where exists (select 1 from TARGET.result r where r.id=orig.id); +compute stats TARGET.indi_pub_in_transformative; +create table TARGET.indi_pub_closed_other_open stored as parquet as select * from SOURCE.indi_pub_closed_other_open orig where exists (select 1 from TARGET.result r where r.id=orig.id); +compute stats TARGET.indi_pub_closed_other_open; --denorm alter table TARGET.result rename to TARGET.res_tmp; diff --git a/dhp-workflows/pom.xml b/dhp-workflows/pom.xml index 22ee77619..53d029467 100644 --- a/dhp-workflows/pom.xml +++ b/dhp-workflows/pom.xml @@ -15,6 +15,13 @@ This module is the container for the oozie workflow definitions in dnet-hadoop project + + + DHPSite + ${dhp.site.stage.path}/dhp-workflows + + + dhp-workflow-profiles dhp-aggregation diff --git a/dhp-workflows/src/site/site.xml b/dhp-workflows/src/site/site.xml new file mode 100644 index 000000000..6b742db6a --- /dev/null +++ b/dhp-workflows/src/site/site.xml @@ -0,0 +1,25 @@ + + + + org.apache.maven.skins + maven-fluido-skin + 1.8 + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/pom.xml b/pom.xml index 71c55d1f0..9e9bbaa16 100644 --- a/pom.xml +++ b/pom.xml @@ -719,6 +719,10 @@ dnet45-releases https://maven.d4science.org/nexus/content/repositories/dnet45-releases + + DHPSite + ${dhp.site.stage.path}/ + @@ -734,6 +738,7 @@ + sftp://dnet-hadoop@static-web.d4science.org/dnet-hadoop UTF-8 UTF-8 3.6.0 diff --git a/src/site/site.xml b/src/site/site.xml new file mode 100644 index 000000000..634a2c154 --- /dev/null +++ b/src/site/site.xml @@ -0,0 +1,21 @@ + + + + org.apache.maven.skins + maven-fluido-skin + 1.8 + + + + + + + + + + + + \ No newline at end of file